├── .Rbuildignore
├── .gitattributes
├── .github
├── .gitignore
├── ISSUE_TEMPLATE
│ └── issue_template.md
└── workflows
│ ├── R-CMD-check.yaml
│ ├── pkgdown.yaml
│ ├── pr-commands.yaml
│ └── test-coverage.yaml
├── .gitignore
├── DESCRIPTION
├── LICENSE.md
├── NAMESPACE
├── R
├── data.R
├── dataedu-package.R
├── font_dataedu.R
├── install_dataedu.R
├── palette_dataedu.R
├── theme_dataedu.R
├── utils.R
└── zzz.R
├── README.Rmd
├── README.md
├── codecov.yml
├── data-raw
├── wt01_online-science-motivation
│ ├── online-science-motivation.R
│ ├── processed
│ │ ├── s12-course-data.csv
│ │ ├── s12-course-minutes.csv
│ │ ├── s12-pre-survey.csv
│ │ ├── s12-pre_survey.csv
│ │ ├── sci_mo_data.csv
│ │ └── sci_mo_processed.csv
│ ├── raw
│ │ ├── s12-course-data.csv
│ │ ├── s12-course-minutes.csv
│ │ ├── s12-pre-survey.csv
│ │ └── sci_mo_data.csv
│ └── sci_mo_processed.R
└── wt02_wt-gradebook
│ └── raw
│ └── ExcelGradeBook.xlsx
├── data
├── all_files.rda
├── bchildcountandedenvironments2012.rda
├── bchildcountandedenvironments2013.rda
├── bchildcountandedenvironments2014.rda
├── bchildcountandedenvironments2015.rda
├── bchildcountandedenvironments2016.rda
├── bchildcountandedenvironments2017_18.rda
├── child_counts.rda
├── course_data.rda
├── course_minutes.rda
├── district_merged_df.rda
├── district_tidy_df.rda
├── frpl_pdf.rda
├── ma_data_init.rda
├── oulad_assessments.rda
├── oulad_interactions_filtered.rda
├── oulad_students.rda
├── pre_survey.rda
├── race_pdf.rda
├── sci_mo_processed.rda
├── sci_mo_with_text.rda
└── tt_tweets.rda
├── dataedu.Rproj
├── inst
├── extdata
│ ├── bchildcountandedenvironments2012.csv
│ ├── bchildcountandedenvironments2013.csv
│ ├── bchildcountandedenvironments2014.csv
│ ├── bchildcountandedenvironments2015.csv
│ ├── bchildcountandedenvironments2016.csv
│ ├── bchildcountandedenvironments2017_18.csv
│ ├── child_counts.csv
│ ├── course_data.csv
│ ├── course_minutes.csv
│ ├── district_merged_df.csv
│ ├── district_tidy_df.csv
│ ├── frpl_pdf.json
│ ├── ma_data_init.csv
│ ├── oulad_assessments.csv
│ ├── oulad_students.csv
│ ├── pre_survey.csv
│ ├── race_pdf.json
│ ├── sci_mo_processed.csv
│ ├── sci_mo_with_text.csv
│ └── tt_tweets.json
└── fonts
│ └── Cabin.ttf
├── man
├── all_files.Rd
├── bchildcountandedenvironments2012.Rd
├── bchildcountandedenvironments2013.Rd
├── bchildcountandedenvironments2014.Rd
├── bchildcountandedenvironments2015.Rd
├── bchildcountandedenvironments2016.Rd
├── bchildcountandedenvironments2017_18.Rd
├── cabinproto.Rd
├── child_counts.Rd
├── course_data.Rd
├── course_minutes.Rd
├── dataedu-package.Rd
├── dataedu_colors.Rd
├── dataedu_packages.Rd
├── dataedu_pal.Rd
├── dataedu_palette.Rd
├── district_merged_df.Rd
├── district_tidy_df.Rd
├── figures
│ ├── README-unnamed-chunk-5-1.png
│ ├── README-unnamed-chunk-6-1.png
│ └── logo.png
├── frpl_pdf.Rd
├── install_dataedu.Rd
├── load.cabin.Rd
├── ma_data_init.Rd
├── oulad_assessments.Rd
├── oulad_interactions_filtered.Rd
├── oulad_students.Rd
├── pre_survey.Rd
├── race_pdf.Rd
├── scale_color_dataedu.Rd
├── scale_fill_dataedu.Rd
├── sci_mo_processed.Rd
├── sci_mo_with_text.Rd
├── theme_dataedu.Rd
└── tt_tweets.Rd
└── tests
├── testthat.R
└── testthat
├── helper-utils.R
├── test-install_dataedu.R
├── test-palette_dataedu.R
└── test-theme_dataedu.R
/.Rbuildignore:
--------------------------------------------------------------------------------
1 | ^.*\.Rproj$
2 | ^\.Rproj\.user$
3 | ^\.travis\.yml$
4 | ^README\.Rmd$
5 | ^LICENSE\.md$
6 | ^data-raw$
7 | ^appveyor\.yml$
8 | ^_pkgdown\.yml$
9 | ^docs$
10 | ^pkgdown$
11 | ^\.github$
12 | ^codecov\.yml$
13 | ^cran-comments\.md$
14 |
--------------------------------------------------------------------------------
/.gitattributes:
--------------------------------------------------------------------------------
1 | *.csv filter=lfs diff=lfs merge=lfs -text
2 | *.Rds filter=lfs diff=lfs merge=lfs -text
3 |
--------------------------------------------------------------------------------
/.github/.gitignore:
--------------------------------------------------------------------------------
1 | *.html
2 |
--------------------------------------------------------------------------------
/.github/ISSUE_TEMPLATE/issue_template.md:
--------------------------------------------------------------------------------
1 | ---
2 | name: Bug report or feature request
3 | about: Describe a bug you've seen or make a case for a new feature
4 | ---
5 |
6 | Please briefly describe your problem and what output you expect. If you have a question, please don't use this form. Instead, ask on or .
7 |
8 | Please include a minimal reproducible example (AKA a reprex). If you've never heard of a [reprex](http://reprex.tidyverse.org/) before, start by reading .
9 |
10 | Brief description of the problem
11 |
12 | ```r
13 | # insert reprex here
14 | ```
15 |
--------------------------------------------------------------------------------
/.github/workflows/R-CMD-check.yaml:
--------------------------------------------------------------------------------
1 | # Workflow derived from https://github.com/r-lib/actions/tree/v2/examples
2 | # Need help debugging build failures? Start at https://github.com/r-lib/actions#where-to-find-help
3 | #
4 | # NOTE: This workflow is overkill for most R packages and
5 | # check-standard.yaml is likely a better choice.
6 | # usethis::use_github_action("check-standard") will install it.
7 | on:
8 | push:
9 | branches: [main, master]
10 | pull_request:
11 |
12 | name: R-CMD-check.yaml
13 |
14 | permissions: read-all
15 |
16 | jobs:
17 | R-CMD-check:
18 | runs-on: ${{ matrix.config.os }}
19 |
20 | name: ${{ matrix.config.os }} (${{ matrix.config.r }})
21 |
22 | strategy:
23 | fail-fast: false
24 | matrix:
25 | config:
26 | - {os: macos-latest, r: 'release'}
27 |
28 | - {os: windows-latest, r: 'release'}
29 | # use 4.0 or 4.1 to check with rtools40's older compiler
30 | - {os: windows-latest, r: 'oldrel-4'}
31 |
32 | - {os: ubuntu-latest, r: 'devel', http-user-agent: 'release'}
33 | - {os: ubuntu-latest, r: 'release'}
34 | - {os: ubuntu-latest, r: 'oldrel-1'}
35 | - {os: ubuntu-latest, r: 'oldrel-2'}
36 | - {os: ubuntu-latest, r: 'oldrel-3'}
37 | - {os: ubuntu-latest, r: 'oldrel-4'}
38 |
39 | env:
40 | GITHUB_PAT: ${{ secrets.GITHUB_TOKEN }}
41 | R_KEEP_PKG_SOURCE: yes
42 |
43 | steps:
44 | - uses: actions/checkout@v4
45 |
46 | - uses: r-lib/actions/setup-pandoc@v2
47 |
48 | - uses: r-lib/actions/setup-r@v2
49 | with:
50 | r-version: ${{ matrix.config.r }}
51 | http-user-agent: ${{ matrix.config.http-user-agent }}
52 | use-public-rspm: true
53 |
54 | - uses: r-lib/actions/setup-r-dependencies@v2
55 | with:
56 | extra-packages: any::rcmdcheck
57 | needs: check
58 |
59 | - uses: r-lib/actions/check-r-package@v2
60 | with:
61 | upload-snapshots: true
62 | build_args: 'c("--no-manual","--compact-vignettes=gs+qpdf")'
63 |
--------------------------------------------------------------------------------
/.github/workflows/pkgdown.yaml:
--------------------------------------------------------------------------------
1 | # Workflow derived from https://github.com/r-lib/actions/tree/v2/examples
2 | # Need help debugging build failures? Start at https://github.com/r-lib/actions#where-to-find-help
3 | on:
4 | push:
5 | branches: [main, master]
6 | pull_request:
7 | release:
8 | types: [published]
9 | workflow_dispatch:
10 |
11 | name: pkgdown.yaml
12 |
13 | permissions: read-all
14 |
15 | jobs:
16 | pkgdown:
17 | runs-on: ubuntu-latest
18 | # Only restrict concurrency for non-PR jobs
19 | concurrency:
20 | group: pkgdown-${{ github.event_name != 'pull_request' || github.run_id }}
21 | env:
22 | GITHUB_PAT: ${{ secrets.GITHUB_TOKEN }}
23 | permissions:
24 | contents: write
25 | steps:
26 | - uses: actions/checkout@v4
27 |
28 | - uses: r-lib/actions/setup-pandoc@v2
29 |
30 | - uses: r-lib/actions/setup-r@v2
31 | with:
32 | use-public-rspm: true
33 |
34 | - uses: r-lib/actions/setup-r-dependencies@v2
35 | with:
36 | extra-packages: any::pkgdown, local::.
37 | needs: website
38 |
39 | - name: Build site
40 | run: pkgdown::build_site_github_pages(new_process = FALSE, install = FALSE)
41 | shell: Rscript {0}
42 |
43 | - name: Deploy to GitHub pages 🚀
44 | if: github.event_name != 'pull_request'
45 | uses: JamesIves/github-pages-deploy-action@v4.5.0
46 | with:
47 | clean: false
48 | branch: gh-pages
49 | folder: docs
50 |
--------------------------------------------------------------------------------
/.github/workflows/pr-commands.yaml:
--------------------------------------------------------------------------------
1 | # Workflow derived from https://github.com/r-lib/actions/tree/v2/examples
2 | # Need help debugging build failures? Start at https://github.com/r-lib/actions#where-to-find-help
3 | on:
4 | issue_comment:
5 | types: [created]
6 |
7 | name: pr-commands.yaml
8 |
9 | permissions: read-all
10 |
11 | jobs:
12 | document:
13 | if: ${{ github.event.issue.pull_request && (github.event.comment.author_association == 'MEMBER' || github.event.comment.author_association == 'OWNER') && startsWith(github.event.comment.body, '/document') }}
14 | name: document
15 | runs-on: ubuntu-latest
16 | env:
17 | GITHUB_PAT: ${{ secrets.GITHUB_TOKEN }}
18 | permissions:
19 | contents: write
20 | steps:
21 | - uses: actions/checkout@v4
22 |
23 | - uses: r-lib/actions/pr-fetch@v2
24 | with:
25 | repo-token: ${{ secrets.GITHUB_TOKEN }}
26 |
27 | - uses: r-lib/actions/setup-r@v2
28 | with:
29 | use-public-rspm: true
30 |
31 | - uses: r-lib/actions/setup-r-dependencies@v2
32 | with:
33 | extra-packages: any::roxygen2
34 | needs: pr-document
35 |
36 | - name: Document
37 | run: roxygen2::roxygenise()
38 | shell: Rscript {0}
39 |
40 | - name: commit
41 | run: |
42 | git config --local user.name "$GITHUB_ACTOR"
43 | git config --local user.email "$GITHUB_ACTOR@users.noreply.github.com"
44 | git add man/\* NAMESPACE
45 | git commit -m 'Document'
46 |
47 | - uses: r-lib/actions/pr-push@v2
48 | with:
49 | repo-token: ${{ secrets.GITHUB_TOKEN }}
50 |
51 | style:
52 | if: ${{ github.event.issue.pull_request && (github.event.comment.author_association == 'MEMBER' || github.event.comment.author_association == 'OWNER') && startsWith(github.event.comment.body, '/style') }}
53 | name: style
54 | runs-on: ubuntu-latest
55 | env:
56 | GITHUB_PAT: ${{ secrets.GITHUB_TOKEN }}
57 | permissions:
58 | contents: write
59 | steps:
60 | - uses: actions/checkout@v4
61 |
62 | - uses: r-lib/actions/pr-fetch@v2
63 | with:
64 | repo-token: ${{ secrets.GITHUB_TOKEN }}
65 |
66 | - uses: r-lib/actions/setup-r@v2
67 |
68 | - name: Install dependencies
69 | run: install.packages("styler")
70 | shell: Rscript {0}
71 |
72 | - name: Style
73 | run: styler::style_pkg()
74 | shell: Rscript {0}
75 |
76 | - name: commit
77 | run: |
78 | git config --local user.name "$GITHUB_ACTOR"
79 | git config --local user.email "$GITHUB_ACTOR@users.noreply.github.com"
80 | git add \*.R
81 | git commit -m 'Style'
82 |
83 | - uses: r-lib/actions/pr-push@v2
84 | with:
85 | repo-token: ${{ secrets.GITHUB_TOKEN }}
86 |
--------------------------------------------------------------------------------
/.github/workflows/test-coverage.yaml:
--------------------------------------------------------------------------------
1 | # Workflow derived from https://github.com/r-lib/actions/tree/v2/examples
2 | # Need help debugging build failures? Start at https://github.com/r-lib/actions#where-to-find-help
3 | on:
4 | push:
5 | branches: [main, master]
6 | pull_request:
7 |
8 | name: test-coverage.yaml
9 |
10 | permissions: read-all
11 |
12 | jobs:
13 | test-coverage:
14 | runs-on: ubuntu-latest
15 | env:
16 | GITHUB_PAT: ${{ secrets.GITHUB_TOKEN }}
17 |
18 | steps:
19 | - uses: actions/checkout@v4
20 |
21 | - uses: r-lib/actions/setup-r@v2
22 | with:
23 | use-public-rspm: true
24 |
25 | - uses: r-lib/actions/setup-r-dependencies@v2
26 | with:
27 | extra-packages: any::covr, any::xml2
28 | needs: coverage
29 |
30 | - name: Test coverage
31 | run: |
32 | cov <- covr::package_coverage(
33 | quiet = FALSE,
34 | clean = FALSE,
35 | install_path = file.path(normalizePath(Sys.getenv("RUNNER_TEMP"), winslash = "/"), "package")
36 | )
37 | covr::to_cobertura(cov)
38 | shell: Rscript {0}
39 |
40 | - uses: codecov/codecov-action@v4
41 | with:
42 | # Fail if error if not on PR, or if on PR and token is given
43 | fail_ci_if_error: ${{ github.event_name != 'pull_request' || secrets.CODECOV_TOKEN }}
44 | file: ./cobertura.xml
45 | plugin: noop
46 | disable_search: true
47 | token: ${{ secrets.CODECOV_TOKEN }}
48 |
49 | - name: Show testthat output
50 | if: always()
51 | run: |
52 | ## --------------------------------------------------------------------
53 | find '${{ runner.temp }}/package' -name 'testthat.Rout*' -exec cat '{}' \; || true
54 | shell: bash
55 |
56 | - name: Upload test results
57 | if: failure()
58 | uses: actions/upload-artifact@v4
59 | with:
60 | name: coverage-test-failures
61 | path: ${{ runner.temp }}/package
62 |
--------------------------------------------------------------------------------
/.gitignore:
--------------------------------------------------------------------------------
1 | .Rproj.user
2 | .Rhistory
3 | .RData
4 | .Ruserdata
5 | .DS_Store
6 | docs/*
7 |
--------------------------------------------------------------------------------
/DESCRIPTION:
--------------------------------------------------------------------------------
1 | Type: Package
2 | Package: dataedu
3 | Title: Package for Data Science in Education Using R
4 | Version: 0.1.0
5 | Authors@R:
6 | c(person(given = "Ryan",
7 | family = "Estrellado",
8 | role = "aut",
9 | email = "ryan.estrellado@gmail.com"),
10 | person(given = "Emily",
11 | family = "Bovee",
12 | role = "aut",
13 | email = "emily.a.bovee@gmail.com"),
14 | person(given = "Jesse",
15 | family = "Mostipak",
16 | role = "aut",
17 | email = "jesse.maegan@gmail.com"),
18 | person(given = "Joshua",
19 | family = "Rosenberg",
20 | role = "aut",
21 | email = "jmichaelrosenberg@gmail.com"),
22 | person(given = "Isabella",
23 | family = "Velásquez",
24 | role = c("aut", "cre"),
25 | email = "ivelasq@gmail.com"))
26 | Description: Provide readers of Data Science in Education Using
27 | R with a package containing useful functions, data, and references
28 | from the book.
29 | License: CC BY 4.0
30 | URL: https://github.com/data-edu/dataedu
31 | BugReports: https://github.com/data-edu/dataedu/issues
32 | Depends:
33 | R (>= 3.6)
34 | Imports:
35 | devtools,
36 | ggplot2,
37 | grDevices,
38 | proto,
39 | showtext,
40 | sysfonts
41 | Suggests:
42 | apaTables,
43 | dplyr,
44 | covr,
45 | glue,
46 | stringr,
47 | rlang,
48 | testthat (>= 2.1.0)
49 | Encoding: UTF-8
50 | LazyData: true
51 | Roxygen: list(markdown = TRUE)
52 | RoxygenNote: 7.3.2
53 |
--------------------------------------------------------------------------------
/LICENSE.md:
--------------------------------------------------------------------------------
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--------------------------------------------------------------------------------
/NAMESPACE:
--------------------------------------------------------------------------------
1 | # Generated by roxygen2: do not edit by hand
2 |
3 | export(dataedu_colors)
4 | export(dataedu_packages)
5 | export(install_dataedu)
6 | export(load.cabin)
7 | export(scale_color_dataedu)
8 | export(scale_fill_dataedu)
9 | export(theme_dataedu)
10 | importFrom(proto,proto)
11 | importFrom(showtext,showtext_auto)
12 | importFrom(sysfonts,font_add)
13 | importFrom(utils,install.packages)
14 |
--------------------------------------------------------------------------------
/R/data.R:
--------------------------------------------------------------------------------
1 | #' Foundational Skills Data
2 | #'
3 | #' Dataset on Massachusetts public schools
4 | #'
5 | #' @name ma_data_init
6 | #' @docType data
7 | #' @format Dataset of class \code{tibble}.
8 | #' @keywords datasets
9 | #' @examples
10 | #'
11 | #' str(dataedu::ma_data_init)
12 | "ma_data_init"
13 |
14 | #' Walkthrough 01 - Course Data
15 | #'
16 | #' Dataset on points earned out of points possible
17 | #' on more than 29,000 class assignments
18 | #'
19 | #'
20 | #' @name course_data
21 | #' @docType data
22 | #' @format Dataset of class \code{tibble}.
23 | #' @source John Ranellucci and Joshua Rosenberg
24 | #' @keywords datasets
25 | #' @examples
26 | #'
27 | #' str(dataedu::course_data)
28 | "course_data"
29 |
30 | #' Walkthrough 01 - Pre-Survey
31 | #'
32 | #' Walkthrough 01 - Dataset on students' motivation administered before
33 | #' the start of those students' online science courses
34 | #'
35 | #'
36 | #' @name pre_survey
37 | #' @docType data
38 | #' @format Dataset of class \code{tibble}.
39 | #' @source John Ranellucci and Joshua Rosenberg
40 | #' @keywords datasets
41 | #' @examples
42 | #'
43 | #' str(dataedu::pre_survey)
44 | "pre_survey"
45 |
46 | #' Walkthrough 01 - Course Minutes
47 | #'
48 | #' Walkthrough 01 - Dataset on log-trace data from the number of minutes
49 | #' students spend on the course learning management system
50 | #' for online science courses
51 | #'
52 | #'
53 | #' @name course_minutes
54 | #' @docType data
55 | #' @format Dataset of class \code{tibble}.
56 | #' @source John Ranellucci and Joshua Rosenberg
57 | #' @keywords datasets
58 | #' @examples
59 | #'
60 | #' str(dataedu::course_minutes)
61 | "course_minutes"
62 |
63 | #' Walkthrough 01 - Student Motivation (Processed and With Text)
64 | #'
65 | #' Walkthrough 01 - Processed dataset (for modeling with random forests)
66 | #' from students on their motivation and achievement in
67 | #' online science classes.
68 | #'
69 | #'
70 | #' @name sci_mo_with_text
71 | #' @docType data
72 | #' @format Dataset of class \code{tibble}.
73 | #' @source John Ranellucci and Joshua Rosenberg
74 | #' @keywords datasets
75 | #' @examples
76 | #'
77 | #' str(dataedu::sci_mo_with_text)
78 | "sci_mo_with_text"
79 |
80 | #' Walkthrough 01 - Student Motivation (Processed)
81 | #'
82 | #' Walkthrough 01 - Processed dataset (for modeling with multi-level models)
83 | #' from students on their motivation and achievement in
84 | #' online science classes
85 | #'
86 | #'
87 | #' @name sci_mo_processed
88 | #' @docType data
89 | #' @format Dataset of class \code{tibble}.
90 | #' @source John Ranellucci and Joshua Rosenberg
91 | #' @keywords datasets
92 | #' @examples
93 | #'
94 | #' str(dataedu::sci_mo_processed)
95 | "sci_mo_processed"
96 |
97 | #' Walkthrough 12 - Tweet Data
98 | #'
99 | #' Walkthrough 12 - Tweet dataset gathered from hashtag tidytuesday
100 | #'
101 | #'
102 | #' @name tt_tweets
103 | #' @docType data
104 | #' @format Dataset of class \code{list}.
105 | #' @source Twitter and TidyTuesday
106 | #' @keywords datasets
107 | #' @examples
108 | #'
109 | #' str(dataedu::tt_tweets)
110 | "tt_tweets"
111 |
112 | #' Walkthrough 03 - Tabulizer Output from Race PDF
113 | #'
114 | #' Walkthrough 03 - RDS file with tabulizer output
115 | #' from the Race PDF.
116 | #'
117 | #'
118 | #' @name race_pdf
119 | #' @docType data
120 | #' @format Dataset of class \code{list}.
121 | #' @source Minneapolis Public Schools
122 | #' @keywords datasets
123 | #' @examples
124 | #'
125 | #' str(dataedu::race_pdf)
126 | "race_pdf"
127 |
128 |
129 | #' Walkthrough 03 - Tabulizer Output from FRPL PDF
130 | #'
131 | #' Walkthrough 03 - RDS file with tabulizer output
132 | #' from the FRPL PDF.
133 | #'
134 | #'
135 | #' @name frpl_pdf
136 | #' @docType data
137 | #' @format Dataset of class \code{list}.
138 | #' @source Minneapolis Public Schools
139 | #' @keywords datasets
140 | #' @examples
141 | #'
142 | #' str(dataedu::frpl_pdf)
143 | "frpl_pdf"
144 |
145 | #' Walkthrough 03 - Merged Ethnicity and FRPL District Data
146 | #'
147 | #' Walkthrough 03 - Dataset with processed district data with
148 | #' both FRPL and ethnicity data
149 | #'
150 | #'
151 | #' @name district_merged_df
152 | #' @docType data
153 | #' @format Dataset of class \code{tibble}.
154 | #' @source Minneapolis Public Schools
155 | #' @keywords datasets
156 | #' @examples
157 | #'
158 | #' str(dataedu::district_merged_df)
159 | "district_merged_df"
160 |
161 | #' Walkthrough 03 - Merged and Tidy Ethnicity and FRPL District Data
162 | #'
163 | #' Walkthrough 03 - Dataset with processed district data with
164 | #' both FRPL and ethnicity data in tidy format
165 | #'
166 | #'
167 | #' @name district_tidy_df
168 | #' @docType data
169 | #' @format Dataset of class \code{tibble}.
170 | #' @source Minneapolis Public Schools
171 | #' @keywords datasets
172 | #' @examples
173 | #'
174 | #' str(dataedu::district_tidy_df)
175 | "district_tidy_df"
176 |
177 | #' Walkthrough 04 - Students with Disabilities Counts - 2012
178 | #'
179 | #' Walkthrough 04 - Dataset containing students with disabilities
180 | #' longitudinal enrollment counts in 2012
181 | #'
182 | #'
183 | #' @name bchildcountandedenvironments2012
184 | #' @docType data
185 | #' @format Dataset of class \code{tibble}.
186 | #' @source US Department of Education
187 | #' @keywords datasets
188 | #' @examples
189 | #'
190 | #' str(dataedu::bchildcountandedenvironments2012)
191 | "bchildcountandedenvironments2012"
192 |
193 | #' Walkthrough 04 - Students with Disabilities Counts - 2012
194 | #'
195 | #' Walkthrough 04 - Dataset containing students with disabilities
196 | #' longitudinal enrollment counts in 2012
197 | #'
198 | #'
199 | #' @name bchildcountandedenvironments2012
200 | #' @docType data
201 | #' @format Dataset of class \code{tibble}.
202 | #' @source US Department of Education
203 | #' @keywords datasets
204 | #' @examples
205 | #'
206 | #' str(dataedu::bchildcountandedenvironments2012)
207 | "bchildcountandedenvironments2012"
208 |
209 | #' Walkthrough 04 - Students with Disabilities Counts - 2013
210 | #'
211 | #' Walkthrough 04 - Dataset containing students with disabilities
212 | #' longitudinal enrollment counts in 2013
213 | #'
214 | #'
215 | #' @name bchildcountandedenvironments2013
216 | #' @docType data
217 | #' @format Dataset of class \code{tibble}.
218 | #' @source US Department of Education
219 | #' @keywords datasets
220 | #' @examples
221 | #'
222 | #' str(dataedu::bchildcountandedenvironments2013)
223 | "bchildcountandedenvironments2013"
224 |
225 | #' Walkthrough 04 - Students with Disabilities Counts - 2014
226 | #'
227 | #' Walkthrough 04 - Dataset containing students with disabilities
228 | #' longitudinal enrollment counts in 2014
229 | #'
230 | #'
231 | #' @name bchildcountandedenvironments2014
232 | #' @docType data
233 | #' @format Dataset of class \code{tibble}.
234 | #' @source US Department of Education
235 | #' @keywords datasets
236 | #' @examples
237 | #'
238 | #' str(dataedu::bchildcountandedenvironments2014)
239 | "bchildcountandedenvironments2014"
240 |
241 | #' Walkthrough 04 - Students with Disabilities Counts - 2015
242 | #'
243 | #' Walkthrough 04 - Dataset containing students with disabilities
244 | #' longitudinal enrollment counts in 2015
245 | #'
246 | #'
247 | #' @name bchildcountandedenvironments2015
248 | #' @docType data
249 | #' @format Dataset of class \code{tibble}.
250 | #' @source US Department of Education
251 | #' @keywords datasets
252 | #' @examples
253 | #'
254 | #' str(dataedu::bchildcountandedenvironments2015)
255 | "bchildcountandedenvironments2015"
256 |
257 | #' Walkthrough 04 - Students with Disabilities Counts - 2016
258 | #'
259 | #' Walkthrough 04 - Dataset containing students with disabilities
260 | #' longitudinal enrollment counts in 2016
261 | #'
262 | #'
263 | #' @name bchildcountandedenvironments2016
264 | #' @docType data
265 | #' @format Dataset of class \code{tibble}.
266 | #' @source US Department of Education
267 | #' @keywords datasets
268 | #' @examples
269 | #'
270 | #' str(dataedu::bchildcountandedenvironments2016)
271 | "bchildcountandedenvironments2016"
272 |
273 | #' Walkthrough 04 - Students with Disabilities Counts - 2017-18
274 | #'
275 | #' Walkthrough 04 - Dataset containing students with disabilities
276 | #' longitudinal enrollment counts in 2017-18
277 | #'
278 | #'
279 | #' @name bchildcountandedenvironments2017_18
280 | #' @docType data
281 | #' @format Dataset of class \code{tibble}.
282 | #' @source US Department of Education
283 | #' @keywords datasets
284 | #' @examples
285 | #'
286 | #' str(dataedu::bchildcountandedenvironments2017_18)
287 | "bchildcountandedenvironments2017_18"
288 |
289 | #' Walkthrough 04 - Students with Disabilities Counts - Combined List
290 | #'
291 | #' Walkthrough 04 - List containing students with disabilities
292 | #' longitudinal enrollment counts from 2012-18
293 | #'
294 | #'
295 | #' @name all_files
296 | #' @docType data
297 | #' @format Dataset of class \code{list}.
298 | #' @source US Department of Education
299 | #' @keywords datasets
300 | #' @examples
301 | #'
302 | #' str(dataedu::all_files)
303 | "all_files"
304 |
305 | #' Walkthrough 04 - Students with Disabilities Counts - Combined Data Frame
306 | #'
307 | #' Walkthrough 04 - Combined data frame containing students with disabilities
308 | #' longitudinal enrollment counts from 2012-18
309 | #'
310 | #'
311 | #' @name child_counts
312 | #' @docType data
313 | #' @format Dataset of class \code{tibble}.
314 | #' @source US Department of Education
315 | #' @keywords datasets
316 | #' @examples
317 | #'
318 | #' str(dataedu::child_counts)
319 | "child_counts"
320 |
321 | #' Walkthrough 08 - Open University Learning Analytics Dataset - Virtual Learning Environment
322 | #'
323 | #' Walkthrough 08 - Virtual learning environment (VLE)
324 | #' log-trace data.
325 | #'
326 | #'
327 | #' @name oulad_interactions_filtered
328 | #' @docType data
329 | #' @format Dataset of class \code{tibble}.
330 | #' @source Open University Learning Analytics Dataset
331 | #' @keywords datasets
332 | #' @examples
333 | #'
334 | #' str(dataedu::oulad_interactions_filtered)
335 | "oulad_interactions_filtered"
336 |
337 | #' Walkthrough 08 - Open University Learning Analytics Dataset - Student Data
338 | #'
339 | #' Walkthrough 08 - Information from three sources that relate to students and
340 | #' the courses they took: `studentInfo`, `courses`, and `studentRegistration`.
341 | #'
342 | #'
343 | #' @name oulad_students
344 | #' @docType data
345 | #' @format Dataset of class \code{tibble}.
346 | #' @source Open University Learning Analytics Dataset
347 | #' @keywords datasets
348 | #' @examples
349 | #'
350 | #' str(dataedu::oulad_students)
351 | "oulad_students"
352 |
353 | #' Walkthrough 08 - Open University Learning Analytics Dataset - Assessment Data
354 | #'
355 | #' Walkthrough 08 - Provides data on students' performance on various assessments
356 | #' throughout their courses.
357 | #'
358 | #'
359 | #' @name oulad_assessments
360 | #' @docType data
361 | #' @format Dataset of class \code{tibble}.
362 | #' @source Open University Learning Analytics Dataset
363 | #' @keywords datasets
364 | #' @examples
365 | #'
366 | #' str(dataedu::oulad_assessments)
367 | "oulad_assessments"
368 |
369 | #' All packages used in Data Science in Education Using R
370 | #'
371 | #' @name dataedu_packages
372 | #' @format A character vector
373 | #' @export dataedu_packages
374 | #'
375 | dataedu_packages <-
376 | c(
377 | "apaTables",
378 | "caret",
379 | "dummies",
380 | "e1071",
381 | "ggraph",
382 | "here",
383 | "janitor",
384 | "lme4",
385 | "lubridate",
386 | "performance",
387 | "ranger",
388 | "readxl",
389 | "rtweet",
390 | "randomNames",
391 | "sjPlot",
392 | "textdata",
393 | "tidygraph",
394 | "tidylog",
395 | "tidyverse",
396 | "tidytext"
397 | )
398 |
--------------------------------------------------------------------------------
/R/dataedu-package.R:
--------------------------------------------------------------------------------
1 | #' @keywords internal
2 | "_PACKAGE"
3 |
4 | # The following block is used by usethis to automatically manage
5 | # roxygen namespace tags. Modify with care!
6 | ## usethis namespace: start
7 | ## usethis namespace: end
8 | NULL
9 |
--------------------------------------------------------------------------------
/R/font_dataedu.R:
--------------------------------------------------------------------------------
1 | #' Font for Data Science in Education
2 | #'
3 | #' Font for Data Science in Education
4 | #'
5 | #' @importFrom sysfonts font_add
6 | #' @importFrom showtext showtext_auto
7 | #' @importFrom proto proto
8 |
9 | cabinproto <- proto::proto(expr={
10 | get_path <- function() {
11 | font_folder <- "fonts"
12 | system.file(font_folder, package = "dataedu")
13 | }
14 | list_fonts <- function() {
15 | list.files(get_path())
16 | }
17 | load_font <- function(., font) {
18 | wd <- getwd()
19 | font_path <- get_path()
20 | setwd(font_path)
21 | if (!file.exists(font)) {
22 | setwd(wd)
23 | stop("font doesn't exist...")
24 | }
25 | sysfonts::font_add(family = sub("\\..*", "", font),
26 | regular = font)
27 | showtext::showtext_auto()
28 | setwd(wd)
29 | }
30 | })
31 |
32 | #' Load Cabin Font
33 | #'
34 | #'
35 | #' @title load.cabin
36 | #' @param font Cabin
37 | #' @return NULL
38 | #' @export
39 | load.cabin <- function(font = "Cabin.ttf") {
40 | cabinproto$load_font(font = font)
41 | }
42 |
--------------------------------------------------------------------------------
/R/install_dataedu.R:
--------------------------------------------------------------------------------
1 | #' Mass installation of DSIEUR packages
2 | #'
3 | #' @description
4 | #' `install_dataedu()` installs the packages used in DSIEUR
5 | #'
6 | #' @usage
7 | #' install_dataedu()
8 | #'
9 | #' @rdname install_dataedu
10 | #' @export
11 |
12 | install_dataedu <- function() {
13 | message("This may take a while...")
14 | Sys.sleep(2)
15 | install.packages(dataedu_packages)
16 | }
17 |
--------------------------------------------------------------------------------
/R/palette_dataedu.R:
--------------------------------------------------------------------------------
1 | #' Color palette for Data Science in Education
2 | #'
3 | #' Color palette for Data Science in Education
4 | #'
5 | #'
6 | dataedu_palette <- c(
7 | `darkblue` = "#003f5c",
8 | `turquoise` = "#006876",
9 | `green` = "#00906b",
10 | `lightgreen` = "#87af49",
11 | `yellow` = "#ffbc49",
12 | `purple` = "#82204a"
13 | )
14 |
15 | #' Extract dataedu colors as hex codes
16 | #'
17 | #' @name dataedu_colors
18 | #' @param ... Character names of dataedu_palette
19 | #'
20 | #' @export
21 | dataedu_colors <- function(...) {
22 | cols <- c(...)
23 |
24 | if (is.null(cols)) {
25 | return(dataedu_palette)
26 | }
27 |
28 | dataedu_palette[cols]
29 | }
30 |
31 | dataedu_colors()
32 |
33 | dataedu_palettes <- list(
34 | `short` = dataedu_colors("green", "yellow"),
35 | `main` = dataedu_colors("darkblue", "turquoise", "green", "lightgreen", "yellow")
36 | )
37 |
38 | #' Interpolate a dataedu color palette
39 | #'
40 | #' @name dataedu_pal
41 | #'
42 | #' @param palette Character name of palette in dataedu_palettes
43 | #' @param reverse Boolean indicating whether the palette should be reversed
44 | #' @param ... Additional arguments to pass to colorRampPalette()
45 | #'
46 | dataedu_pal <- function(palette = "main", reverse = FALSE, ...) {
47 | pal <- dataedu_palettes[[palette]]
48 |
49 | if (reverse) pal <- rev(pal)
50 |
51 | grDevices::colorRampPalette(pal, ...)
52 | }
53 |
54 | #' Color scale constructor for dataedu colors
55 | #'
56 | #' @name scale_color_dataedu
57 | #'
58 | #'
59 | #' @param palette Character name of palette in dataedu_palettes
60 | #' @param discrete Boolean indicating whether color aesthetic is discrete or not
61 | #' @param reverse Boolean indicating whether the palette should be reversed
62 | #' @param ... Additional arguments passed to discrete_scale() or
63 | #' scale_color_gradientn(), used respectively when discrete is TRUE or FALSE
64 | #'
65 | #' @export
66 | scale_color_dataedu <- function(palette = "main", discrete = TRUE, reverse = FALSE, ...) {
67 | pal <- dataedu_pal(palette = palette, reverse = reverse)
68 |
69 | if (discrete) {
70 | ggplot2::discrete_scale("colour", paste0("dataedu_", palette), palette = pal, ...)
71 | } else {
72 | ggplot2::scale_color_gradientn(colours = pal(256), ...)
73 | }
74 | }
75 |
76 | #' Fill scale constructor for dataedu colors
77 | #'
78 | #' @name scale_fill_dataedu
79 | #'
80 | #'
81 | #' @param palette Character name of palette in dataedu_palettes
82 | #' @param discrete Boolean indicating whether color aesthetic is discrete or not
83 | #' @param reverse Boolean indicating whether the palette should be reversed
84 | #' @param ... Additional arguments passed to discrete_scale() or
85 | #' scale_fill_gradientn(), used respectively when discrete is TRUE or FALSE
86 | #'
87 | #' @export
88 | scale_fill_dataedu <- function(palette = "main", discrete = TRUE, reverse = FALSE, ...) {
89 | pal <- dataedu_pal(palette = palette, reverse = reverse)
90 |
91 | if (discrete) {
92 | ggplot2::discrete_scale("fill", paste0("dataedu_", palette), palette = pal, ...)
93 | } else {
94 | ggplot2::scale_fill_gradientn(colours = pal(256), ...)
95 | }
96 | }
--------------------------------------------------------------------------------
/R/theme_dataedu.R:
--------------------------------------------------------------------------------
1 | #' ggplot2 theme for Data Science in Education Using R
2 | #'
3 | #' @description
4 | #' Apply the 'Data Science in Education Using R' background and font to ggplot2.
5 | #'
6 | #' @usage
7 | #' theme_dataedu()
8 | #'
9 | #' @details
10 | #' The dataedu theme uses the font Cabin.
11 | #'
12 | #' @rdname theme_dataedu
13 | #' @export
14 | theme_dataedu <- function() {
15 | ggplot2::theme_minimal(base_size = 12,
16 | base_family = "Cabin")
17 | }
18 |
--------------------------------------------------------------------------------
/R/utils.R:
--------------------------------------------------------------------------------
1 | #' @keywords internal
2 | #' @noRd
3 | #' @importFrom utils install.packages
4 | globalVariables("install.packages")
5 |
--------------------------------------------------------------------------------
/R/zzz.R:
--------------------------------------------------------------------------------
1 | .onAttach <- function(libname, pkgname) {
2 | load.cabin()
3 | }
4 |
--------------------------------------------------------------------------------
/README.Rmd:
--------------------------------------------------------------------------------
1 | ---
2 | output: github_document
3 | ---
4 |
5 |
6 |
7 | ```{r, include = FALSE, echo = FALSE}
8 | knitr::opts_chunk$set(
9 | collapse = TRUE,
10 | comment = "#>",
11 | fig.path = "man/figures/README-"
12 | )
13 |
14 | dep <- as.vector(read.dcf('DESCRIPTION')[, 'Depends'])
15 | ```
16 |
17 | # dataedu
18 |
19 |
20 | [](https://codecov.io/gh/data-edu/dataedu?branch=master)
21 | [](https://cran.r-project.org/)
22 | [)`-yellowgreen.svg)](https://github.com/data-edu/dataedu/commits/master)
23 | [](https://github.com/data-edu/dataedu/actions/workflows/R-CMD-check.yaml)
24 | [](https://app.codecov.io/gh/data-edu/dataedu)
25 |
26 |
27 | The goal of {dataedu} is to provide readers of [Data Science in Education Using R](https://github.com/data-edu/data-science-in-education) with a package with useful functions, data, and references from the book.
28 |
29 | * [ Installation ](#installation)
30 | * [ Package Contents ](#package-contents)
31 | * [ Contact ](#contact)
32 |
33 | ## Installation
34 |
35 | ### 1. Install {pak}
36 |
37 | First, let's install {pak}. If you already have {pak} installed, you can move on to the next step.
38 |
39 | ``` r
40 | install.packages("pak")
41 | ```
42 |
43 | ### 2. Install {dataedu}
44 |
45 | You can install the development version of {dataedu} by running this in your RStudio console:
46 |
47 | ``` r
48 | pak::pak("data-edu/dataedu")
49 | ```
50 |
51 | #### Important Notes on Installation
52 |
53 | * {dataedu} requires R 3.6 or above to be installed.
54 |
55 | * {dataedu} has other packages that it needs to be able to run. You can see the full list under "Imports" (imported when downloading the package) and "Suggests" (we think you should include these too!) in the [DESCRIPTION file](https://github.com/data-edu/dataedu/blob/master/DESCRIPTION#L34).
56 |
57 | * **We recommend first checking to see if your packages are all up-to-date if you are running into issues with installation.** If you have installed the imported/suggested packages previously and have not updated them in a while, RStudio may prompt you to update them. You can choose to (1) ignore this prompt, (2) exit the prompt and update your packages, or (3) try to update your packages through the prompt. It's usually easier to exit and update your packages outside the prompt (one way to do this is to go to the RStudio Packages pane and click Update, then select the packages you'd like to update).
58 |
59 | ### 3. Call the Package
60 |
61 | Before you can use the package, make sure to call it using `library()`:
62 |
63 | ```{r}
64 | library(dataedu)
65 | ```
66 |
67 | ## Package Contents
68 |
69 | We created this package to provide our readers an opportunity to jump into R however they see fit.
70 |
71 | 1. [Mass installation of all the packages used in the book](#mass-installation-of-packages)
72 | 2. [Reproducible code for the walkthroughs](#reproducible-code-for-walkthroughs)
73 | 3. [Access to the data used in each of the walkthroughs](#accessing-the-walkthrough-data)
74 | 4. [The dataedu theme and color palette for reuse](#using-the-dataedu-theme-and-palette)
75 |
76 | ### Mass Installation of Packages
77 |
78 | We strived to use packages that we use in our daily work when creating the walkthroughs in the book. Because we covered a variety of subjects, that means we used a lot of packages! As described in the Foundational Skills chapter, you can install the packages individually as they suit your needs.
79 |
80 | However, if you want to get started quickly and download all the packages at once, please use `install_dataedu()`.
81 |
82 | ``` r
83 | dataedu::install_dataedu()
84 | ```
85 |
86 | To see the packages used in the book, run:
87 |
88 | ```{r}
89 | dataedu::dataedu_packages
90 | ```
91 |
92 | **A special note on {tabulapdf}:** One of the walkthroughs uses [tabulapdf](https://docs.ropensci.org/tabulapdf/index.html), created by ROpenSci to read PDFs. {tabulapdf} requires the installation of [RJava](https://cran.r-project.org/web/packages/rJava/index.html), which can be a tricky process. {tabulapdf} is not included in `install_dataedu()` and we recommend reading through the notes on its Github repo if installing.
93 |
94 | ### Accessing the Walkthrough Data
95 |
96 | To get the data, run `dataedu::` then the dataset as it is named in the book:
97 |
98 | ``` r
99 | dataedu::course_data
100 | ```
101 | To see all the datasets available in the package, run `data(package = "dataedu")`.
102 |
103 | ```{r}
104 | # this is to print the results for the README
105 | # only `data(package = "dataedu")` is needed to see this list
106 | a <- data(package = "dataedu")
107 | a$result[ , 3:4]
108 | ```
109 |
110 | If you would like to download the data in non-`.Rds` (RData) format, the CSV and JSON formats are available under [`inst/extdata`](https://github.com/data-edu/dataedu/tree/master/inst/extdata). Please note that `all_files` and `oulad_interactions_filtered` are not included because of their size.
111 |
112 | ### Using the {dataedu} Theme and Palette
113 |
114 | Add the theme and palette to ggplot2-based plots using `theme_dataedu()` and `scale_*_dataedu()`.
115 |
116 | * **Note:** The DataEdu theme uses {showtext} to render the font. If you would like to use it in an R markdown chunk, please ensure that the chunk lists `fig.showtext = TRUE`. If you would like to use it in a standalone R script, then you will need to use a differnet graphic device. More information is available in the documentation [here](https://cran.rstudio.com/web/packages/showtext/vignettes/introduction.html).
117 |
118 | ```{r, fig.align = "center", dpi = 300, message = FALSE, warning = FALSE, fig.showtext = TRUE}
119 | library(ggplot2)
120 | library(dataedu)
121 |
122 | ggplot(midwest, aes(x = area, y = popdensity, color = state)) +
123 | geom_point() +
124 | theme_dataedu() +
125 | scale_color_dataedu()
126 | ```
127 |
128 | The font for the DSIEUR graphs is Cabin and available [here](https://fonts.google.com/specimen/Cabin). The code to load the font with the package is heavily based on the code from Guangchuang Yu's [extrafont](https://github.com/GuangchuangYu/emojifont) package - thank you!
129 |
130 | ## Contact
131 |
132 | * Please report ideas or issues on the [Issues page](https://github.com/data-edu/dataedu/issues). If possible, make your post reproducible using the [{reprex}](https://github.com/tidyverse/reprex) package.
133 | * Send any pull requests on the [Github repository](https://github.com/data-edu/dataedu).
--------------------------------------------------------------------------------
/README.md:
--------------------------------------------------------------------------------
1 |
2 |
3 |
4 | # dataedu
5 |
6 |
7 |
8 | [](https://codecov.io/gh/data-edu/dataedu?branch=master)
10 | [](https://cran.r-project.org/)
12 | [](https://github.com/data-edu/dataedu/commits/master)
13 | [](https://github.com/data-edu/dataedu/actions/workflows/R-CMD-check.yaml)
14 | [](https://app.codecov.io/gh/data-edu/dataedu)
16 |
17 |
18 | The goal of {dataedu} is to provide readers of [Data Science in
19 | Education Using
20 | R](https://github.com/data-edu/data-science-in-education) with a package
21 | with useful functions, data, and references from the book.
22 |
23 | - [Installation](#installation)
24 | - [Package Contents](#package-contents)
25 | - [Contact](#contact)
26 |
27 | ## Installation
28 |
29 | ### 1. Install {pak}
30 |
31 | First, let’s install {pak}. If you already have {pak} installed, you can
32 | move on to the next step.
33 |
34 | ``` r
35 | install.packages("pak")
36 | ```
37 |
38 | ### 2. Install {dataedu}
39 |
40 | You can install the development version of {dataedu} by running this in
41 | your RStudio console:
42 |
43 | ``` r
44 | pak::pak("data-edu/dataedu")
45 | ```
46 |
47 | #### Important Notes on Installation
48 |
49 | - {dataedu} requires R 3.6 or above to be installed.
50 |
51 | - {dataedu} has other packages that it needs to be able to run. You can
52 | see the full list under “Imports” (imported when downloading the
53 | package) and “Suggests” (we think you should include these too!) in
54 | the [DESCRIPTION
55 | file](https://github.com/data-edu/dataedu/blob/master/DESCRIPTION#L34).
56 |
57 | - **We recommend first checking to see if your packages are all
58 | up-to-date if you are running into issues with installation.** If you
59 | have installed the imported/suggested packages previously and have not
60 | updated them in a while, RStudio may prompt you to update them. You
61 | can choose to (1) ignore this prompt, (2) exit the prompt and update
62 | your packages, or (3) try to update your packages through the prompt.
63 | It’s usually easier to exit and update your packages outside the
64 | prompt (one way to do this is to go to the RStudio Packages pane and
65 | click Update, then select the packages you’d like to update).
66 |
67 | ### 3. Call the Package
68 |
69 | Before you can use the package, make sure to call it using `library()`:
70 |
71 | ``` r
72 | library(dataedu)
73 | ```
74 |
75 | ## Package Contents
76 |
77 | We created this package to provide our readers an opportunity to jump
78 | into R however they see fit.
79 |
80 | 1. [Mass installation of all the packages used in the
81 | book](#mass-installation-of-packages)
82 | 2. [Reproducible code for the
83 | walkthroughs](#reproducible-code-for-walkthroughs)
84 | 3. [Access to the data used in each of the
85 | walkthroughs](#accessing-the-walkthrough-data)
86 | 4. [The dataedu theme and color palette for
87 | reuse](#using-the-dataedu-theme-and-palette)
88 |
89 | ### Mass Installation of Packages
90 |
91 | We strived to use packages that we use in our daily work when creating
92 | the walkthroughs in the book. Because we covered a variety of subjects,
93 | that means we used a lot of packages! As described in the Foundational
94 | Skills chapter, you can install the packages individually as they suit
95 | your needs.
96 |
97 | However, if you want to get started quickly and download all the
98 | packages at once, please use `install_dataedu()`.
99 |
100 | ``` r
101 | dataedu::install_dataedu()
102 | ```
103 |
104 | To see the packages used in the book, run:
105 |
106 | ``` r
107 | dataedu::dataedu_packages
108 | #> [1] "apaTables" "caret" "dummies" "e1071" "ggraph"
109 | #> [6] "here" "janitor" "lme4" "lubridate" "performance"
110 | #> [11] "ranger" "readxl" "rtweet" "randomNames" "sjPlot"
111 | #> [16] "textdata" "tidygraph" "tidylog" "tidyverse" "tidytext"
112 | ```
113 |
114 | **A special note on {tabulapdf}:** One of the walkthroughs uses
115 | [tabulapdf](https://docs.ropensci.org/tabulapdf/index.html), created by
116 | ROpenSci to read PDFs. {tabulapdf} requires the installation of
117 | [RJava](https://cran.r-project.org/web/packages/rJava/index.html), which
118 | can be a tricky process. {tabulapdf} is not included in
119 | `install_dataedu()` and we recommend reading through the notes on its
120 | Github repo if installing.
121 |
122 | ### Accessing the Walkthrough Data
123 |
124 | To get the data, run `dataedu::` then the dataset as it is named in the
125 | book:
126 |
127 | ``` r
128 | dataedu::course_data
129 | ```
130 |
131 | To see all the datasets available in the package, run
132 | `data(package = "dataedu")`.
133 |
134 | ``` r
135 | # this is to print the results for the README
136 | # only `data(package = "dataedu")` is needed to see this list
137 | a <- data(package = "dataedu")
138 | a$result[ , 3:4]
139 | #> Item
140 | #> [1,] "all_files"
141 | #> [2,] "bchildcountandedenvironments2012"
142 | #> [3,] "bchildcountandedenvironments2013"
143 | #> [4,] "bchildcountandedenvironments2014"
144 | #> [5,] "bchildcountandedenvironments2015"
145 | #> [6,] "bchildcountandedenvironments2016"
146 | #> [7,] "bchildcountandedenvironments2017_18"
147 | #> [8,] "child_counts"
148 | #> [9,] "course_data"
149 | #> [10,] "course_minutes"
150 | #> [11,] "district_merged_df"
151 | #> [12,] "district_tidy_df"
152 | #> [13,] "frpl_pdf"
153 | #> [14,] "ma_data_init"
154 | #> [15,] "oulad_assessments"
155 | #> [16,] "oulad_interactions_filtered"
156 | #> [17,] "oulad_students"
157 | #> [18,] "pre_survey"
158 | #> [19,] "race_pdf"
159 | #> [20,] "sci_mo_processed"
160 | #> [21,] "sci_mo_with_text"
161 | #> [22,] "tt_tweets"
162 | #> Title
163 | #> [1,] "Walkthrough 04 - Students with Disabilities Counts - Combined List"
164 | #> [2,] "Walkthrough 04 - Students with Disabilities Counts - 2012"
165 | #> [3,] "Walkthrough 04 - Students with Disabilities Counts - 2013"
166 | #> [4,] "Walkthrough 04 - Students with Disabilities Counts - 2014"
167 | #> [5,] "Walkthrough 04 - Students with Disabilities Counts - 2015"
168 | #> [6,] "Walkthrough 04 - Students with Disabilities Counts - 2016"
169 | #> [7,] "Walkthrough 04 - Students with Disabilities Counts - 2017-18"
170 | #> [8,] "Walkthrough 04 - Students with Disabilities Counts - Combined Data Frame"
171 | #> [9,] "Walkthrough 01 - Course Data"
172 | #> [10,] "Walkthrough 01 - Course Minutes"
173 | #> [11,] "Walkthrough 03 - Merged Ethnicity and FRPL District Data"
174 | #> [12,] "Walkthrough 03 - Merged and Tidy Ethnicity and FRPL District Data"
175 | #> [13,] "Walkthrough 03 - Tabulizer Output from FRPL PDF"
176 | #> [14,] "Foundational Skills Data"
177 | #> [15,] "Walkthrough 08 - Open University Learning Analytics Dataset - Assessment Data"
178 | #> [16,] "Walkthrough 08 - Open University Learning Analytics Dataset - Virtual Learning Environment"
179 | #> [17,] "Walkthrough 08 - Open University Learning Analytics Dataset - Student Data"
180 | #> [18,] "Walkthrough 01 - Pre-Survey"
181 | #> [19,] "Walkthrough 03 - Tabulizer Output from Race PDF"
182 | #> [20,] "Walkthrough 01 - Student Motivation (Processed)"
183 | #> [21,] "Walkthrough 01 - Student Motivation (Processed and With Text)"
184 | #> [22,] "Walkthrough 12 - Tweet Data"
185 | ```
186 |
187 | If you would like to download the data in non-`.Rds` (RData) format, the
188 | CSV and JSON formats are available under
189 | [`inst/extdata`](https://github.com/data-edu/dataedu/tree/master/inst/extdata).
190 | Please note that `all_files` and `oulad_interactions_filtered` are not
191 | included because of their size.
192 |
193 | ### Using the {dataedu} Theme and Palette
194 |
195 | Add the theme and palette to ggplot2-based plots using `theme_dataedu()`
196 | and `scale_*_dataedu()`.
197 |
198 | - **Note:** The DataEdu theme uses {showtext} to render the font. If you
199 | would like to use it in an R markdown chunk, please ensure that the
200 | chunk lists `fig.showtext = TRUE`. If you would like to use it in a
201 | standalone R script, then you will need to use a differnet graphic
202 | device. More information is available in the documentation
203 | [here](https://cran.rstudio.com/web/packages/showtext/vignettes/introduction.html).
204 |
205 | ``` r
206 | library(ggplot2)
207 | library(dataedu)
208 |
209 | ggplot(midwest, aes(x = area, y = popdensity, color = state)) +
210 | geom_point() +
211 | theme_dataedu() +
212 | scale_color_dataedu()
213 | ```
214 |
215 |
216 |
217 | The font for the DSIEUR graphs is Cabin and available
218 | [here](https://fonts.google.com/specimen/Cabin). The code to load the
219 | font with the package is heavily based on the code from Guangchuang Yu’s
220 | [extrafont](https://github.com/GuangchuangYu/emojifont) package - thank
221 | you!
222 |
223 | ## Contact
224 |
225 | - Please report ideas or issues on the [Issues
226 | page](https://github.com/data-edu/dataedu/issues). If possible, make
227 | your post reproducible using the
228 | [{reprex}](https://github.com/tidyverse/reprex) package.
229 | - Send any pull requests on the [Github
230 | repository](https://github.com/data-edu/dataedu).
231 |
--------------------------------------------------------------------------------
/codecov.yml:
--------------------------------------------------------------------------------
1 | comment: false
2 |
3 | coverage:
4 | status:
5 | project:
6 | default:
7 | target: auto
8 | threshold: 1%
9 | informational: true
10 | patch:
11 | default:
12 | target: auto
13 | threshold: 1%
14 | informational: true
15 |
--------------------------------------------------------------------------------
/data-raw/wt01_online-science-motivation/online-science-motivation.R:
--------------------------------------------------------------------------------
1 | library(readr)
2 | library(here)
3 | library(synthpop)
4 | library(dplyr)
5 |
6 | # # this and subsequent code to prepare processed data from raw data is commented out so that
7 | # # only the code that turns the processed data into package data with usethis::use_data()
8 |
9 | s12_course_data <-
10 | read_csv(here(
11 | "data-raw",
12 | "wt01_online-science-motivation",
13 | "raw",
14 | "s12-course-data.csv"
15 | ))
16 |
17 | s12_course_data_ss <- dplyr::select(s12_course_data, CourseSectionOrigID, Bb_UserPK, Gradebook_Item, Grade_Category, FinalGradeCEMS)
18 | s12_course_data <- dplyr::select(s12_course_data, Points_Possible, Points_Earned, Gender)
19 | s12_course_data <- s12_course_data %>%
20 | mutate(Points_Earned = as.numeric(Points_Earned))
21 | s12_course_data_syn <- syn(s12_course_data)
22 |
23 | s12_course_data_syn_final <- bind_cols(s12_course_data_ss, as_tibble(s12_course_data_syn$syn))
24 |
25 | write_csv(s12_course_data_syn_final, here(
26 | "data-raw",
27 | "wt01_online-science-motivation",
28 | "processed",
29 | "s12-course-data.csv"
30 | ))
31 |
32 | course_data <- read_csv(here::here(
33 | "data-raw",
34 | "wt01_online-science-motivation",
35 | "processed",
36 | "s12-course-data.csv"
37 | ))
38 |
39 | usethis::use_data(course_data, overwrite = TRUE)
40 |
41 | s12_pre_survey <-
42 | read_csv(here(
43 | "data-raw", "wt01_online-science-motivation",
44 | "raw",
45 | "s12-pre-survey.csv"
46 | ))
47 |
48 | s12_pre_survey_ss <- dplyr::select(s12_pre_survey, Q1MaincellgroupRow1:Q1MaincellgroupRow10)
49 | s12_pre_survey_no_syn <- dplyr::select(s12_pre_survey, opdata_CourseID, opdata_username)
50 | s12_pre_survey_syn <- syn(s12_pre_survey_ss)
51 |
52 | s12_pre_survey_fin <- bind_cols(s12_pre_survey_no_syn, as_tibble(s12_pre_survey_syn$syn))
53 |
54 | s12_pre_survey_fin <- s12_pre_survey_fin %>%
55 | select(
56 | opdata_username,
57 | opdata_CourseID,
58 | everything()
59 | )
60 |
61 | write_csv(s12_pre_survey_fin, here(
62 | "data-raw", "wt01_online-science-motivation",
63 | "processed",
64 | "s12-pre-survey.csv"
65 | ))
66 |
67 | pre_survey <- read_csv(here::here("data-raw", "wt01_online-science-motivation", "processed", "s12-pre-survey.csv"))
68 | usethis::use_data(pre_survey, overwrite = TRUE)
69 |
70 | s12_time_spent <-
71 | read_csv(here(
72 | "data-raw", "wt01_online-science-motivation",
73 | "raw",
74 | "s12-course-minutes.csv"
75 | ))
76 |
77 | # s12_time_spent_ss <- dplyr::select(s12_time_spent, TimeSpent)
78 | s12_time_spent_fin <- dplyr::select(s12_time_spent, Bb_UserPK, CourseSectionOrigID, TimeSpent)
79 | # s12_time_spent_syn <- syn(s12_time_spent_ss)
80 | # s12_time_spent_fin <- bind_cols(s12_time_spent_no_syn, s12_time_spent_syn)
81 |
82 | write_csv(s12_time_spent_fin, here(
83 | "data-raw", "wt01_online-science-motivation",
84 | "processed",
85 | "s12-course-minutes.csv"
86 | ))
87 |
88 | course_minutes <- read_csv(here::here("data-raw", "wt01_online-science-motivation", "processed", "s12-course-minutes.csv"))
89 | usethis::use_data(course_minutes, overwrite = TRUE)
90 |
--------------------------------------------------------------------------------
/data-raw/wt01_online-science-motivation/processed/s12-course-data.csv:
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https://raw.githubusercontent.com/data-edu/dataedu/0661a190297f8b092e8574e94e32966175e1ca9a/data-raw/wt01_online-science-motivation/processed/s12-course-data.csv
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/data-raw/wt01_online-science-motivation/processed/s12-course-minutes.csv:
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1 | Bb_UserPK,CourseSectionOrigID,TimeSpent
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384 | 95743,FrScA-S216-01,3122.9167
385 | 95896,FrScA-S216-01,1133.2169
386 | 95991,FrScA-S216-01,870.3836
387 | 67762,FrScA-S116-02,801.2336
388 | 68768,FrScA-S116-02,1966.0169
389 | 77298,FrScA-S116-02,1907.6502
390 | 85661,FrScA-S116-02,1375.4834
391 | 91340,FrScA-S116-02,1182.9332
392 | 57224,FrScA-S116-03,2356.4668
393 | 70068,FrScA-S116-03,2101.933
394 | 73132,FrScA-S116-03,1746.5501
395 | 78691,FrScA-S116-03,1559.9667
396 | 85701,FrScA-S116-03,2381.6998
397 | 85702,FrScA-S116-03,638.7338
398 | 85704,FrScA-S116-03,1376.483
399 | 85891,FrScA-S116-03,1784.2506
400 | 86309,FrScA-S116-03,1219.4837
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402 | 88636,FrScA-S116-03,1284.8333
403 | 88835,FrScA-S116-03,2062.95
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407 | 88886,FrScA-S116-03,1598.3499
408 | 89165,FrScA-S116-03,2571.5334
409 | 89168,FrScA-S116-03,60.65
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411 | 89388,FrScA-S116-03,2999.8498
412 | 90097,FrScA-S116-03,1145.5167
413 | 90370,FrScA-S116-03,3890
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415 | 88075,FrScA-S116-04,4323.8332
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418 | 88048,FrScA-S216-02,2269.133
419 | 85287,FrScA-S216-01,156.5829
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471 | 96414,FrScA-S216-02,310.9335
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473 | 97441,FrScA-S216-02,208.6664
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485 | 90430,BioA-S116-01,2252.5
486 | 91067,BioA-S116-01,2920.9838
487 | 91300,BioA-S116-01,1311.9998
488 | 91351,BioA-S116-01,206.2335
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496 | 97374,BioA-S216-01,470.8
497 | 52446,PhysA-S116-01,1390.2167
498 | 54434,PhysA-S116-01,1231.8666
499 | 62576,PhysA-S116-01,793.95
500 | 62752,PhysA-S116-01,898.2998
501 | 74551,PhysA-S116-01,1014.5665
502 | 89994,FrScA-S216-02,2310.3333
503 | 91410,FrScA-S216-02,857.6167
504 | 91550,FrScA-S216-02,1722.1833
505 | 91607,FrScA-S216-02,608.0833
506 | 95476,FrScA-S216-02,1038.0003
507 | 95923,FrScA-S216-02,1276.7667
508 | 95925,FrScA-S216-02,2111.8333
509 | 96189,FrScA-S216-02,1268.1002
510 | 96280,FrScA-S216-02,914.8667
511 | 96769,FrScA-S216-02,510.8667
512 | 96841,FrScA-S216-02,1670.95
513 | 51943,FrScA-S216-03,3.4501
514 | 85348,FrScA-S216-03,608.2501
515 | 69544,FrScA-S216-04,2673.3831
516 | 85867,FrScA-S216-04,1283.4669
517 | 88311,FrScA-S216-04,1660.9829
518 | 96048,FrScA-S216-04,1665.1665
519 | 61965,BioA-S116-01,615.2168
520 | 71434,BioA-S116-01,1006.3337
521 | 77169,BioA-S116-01,735.0999
522 | 85292,BioA-S116-01,264.2002
523 | 86110,BioA-S116-01,3954.2997
524 | 86113,BioA-S116-01,63.6837
525 | 86130,BioA-S116-01,142.7337
526 | 86202,BioA-S116-01,1391.0673
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529 | 88568,BioA-S116-01,1329.3997
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536 | 84794,BioA-T116-01,919.5
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539 | 97386,BioA-S216-01,71.0166
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541 | 55140,PhysA-S116-01,2083.3167
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543 | 62754,PhysA-S116-01,674.3167
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549 | 85962,PhysA-S116-01,1349.9664
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552 | 88296,PhysA-S116-01,1190.5998
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555 | 89425,PhysA-S116-01,2173.1333
556 | 89490,PhysA-S116-01,2046.9998
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559 | 92511,PhysA-S116-01,125.0666
560 | 92729,PhysA-S116-01,1691.5998
561 | 92732,PhysA-S116-01,2199.3
562 | 92733,PhysA-S116-01,1020.5828
563 | 92743,PhysA-S116-01,1711.0164
564 | 67102,PhysA-S216-01,719.2833
565 | 70187,PhysA-S216-01,719.1165
566 | 78153,PhysA-S216-01,1769.8667
567 | 94189,PhysA-S216-01,2321.7998
568 | 94251,PhysA-S216-01,4552.0833
569 | 95266,PhysA-S216-01,609.7999
570 | 95283,PhysA-S216-01,47
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572 | 96027,PhysA-S216-01,2363.2667
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574 | 97150,PhysA-S216-01,759.3335
575 | 97265,PhysA-S216-01,817.4501
576 | 76133,PhysA-S116-01,1276.5167
577 | 79128,PhysA-S116-01,1910.2338
578 | 85953,PhysA-S116-01,3255.3003
579 | 88091,PhysA-S116-01,262.5502
580 | 88481,PhysA-S116-01,642.0504
581 | 89395,PhysA-S116-01,2432.7831
582 | 90326,PhysA-S116-01,509.5167
583 | 90333,PhysA-S116-01,231.7502
584 | 91030,PhysA-S116-01,1302.8501
585 | 91575,PhysA-S116-01,2219.916
586 | 91821,PhysA-S116-01,377.7002
587 | 92724,PhysA-S116-01,2700.6668
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590 | 92727,PhysA-S116-01,898
591 | 92740,PhysA-S116-01,1272.7001
592 | 92741,PhysA-S116-01,5373.3502
593 | 66508,PhysA-T116-01,2823.7501
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597 | 96590,PhysA-S216-01,262.1667
598 | 96808,PhysA-S216-01,2446.3169
599 | 96867,PhysA-S216-01,1841.7836
600 |
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1 | CourseID,CourseSectionID,CourseSectionOrigID,Bb_UserPK,CUPK,TimeSpent
27,17146,OcnA-S116-01,44638,190682,1382.7001
27,17146,OcnA-S116-01,54346,194259,1191.3836
27,17146,OcnA-S116-01,57981,196014,3343.3333
27,17146,OcnA-S116-01,66740,190463,965.2994
27,17146,OcnA-S116-01,67920,191593,4094.9995
27,17146,OcnA-S116-01,85355,190104,594.6165
27,17146,OcnA-S116-01,85644,190685,1632.4
27,17146,OcnA-S116-01,86349,191713,1601.1335
27,17146,OcnA-S116-01,86460,191887,1891.1999
27,17146,OcnA-S116-01,87970,194256,3123.3502
27,17146,OcnA-S116-01,89114,196008,1092.3662
27,17146,OcnA-S116-01,89435,196491,6348.4492
27,17146,OcnA-S116-01,89487,196553,2151.1498
27,17146,OcnA-S116-01,90562,197903,1389.3161
27,17146,OcnA-S116-01,91818,200296,1651.5005
27,17288,OcnA-T116-01,84685,189159,3073.6162
27,17600,OcnA-S216-01,47979,221549,1598.6166
27,17600,OcnA-S216-01,84932,217057,2573.4502
27,17600,OcnA-S216-01,86240,219143,1800.2174
27,17600,OcnA-S216-01,86340,221214,111.5834
27,17600,OcnA-S216-01,86527,218637,2211.5331
27,17600,OcnA-S216-01,87670,215758,1995.5832
27,17600,OcnA-S216-01,88474,219378,4112.7673
27,17600,OcnA-S216-01,88504,222512,68.6333
27,17600,OcnA-S216-01,88849,216246,4799.483
27,17600,OcnA-S216-01,94319,216792,1588.55
27,17600,OcnA-S216-01,94590,217686,1428.0167
27,17600,OcnA-S216-01,94717,218180,821.9161
27,17600,OcnA-S216-01,94744,218276,8870.8833
27,17600,OcnA-S216-01,94956,219464,1242.6
27,17600,OcnA-S216-01,95504,220914,451.8001
27,17600,OcnA-S216-01,95725,221661,1886.3334
27,17600,OcnA-S216-01,95738,221701,163.6832
27,17600,OcnA-S216-01,96121,222760,1320.5499
27,17600,OcnA-S216-01,96345,223344,1540.1833
27,17600,OcnA-S216-01,96373,223437,2449.6827
27,17600,OcnA-S216-01,96374,223438,2626.9001
27,17600,OcnA-S216-01,96412,223532,943.0669
27,17600,OcnA-S216-01,96689,224266,1858.3502
27,17600,OcnA-S216-01,96856,224734,529.2335
27,17600,OcnA-S216-01,97272,225753,1638.45
27,17984,OcnA-S116-02,54282,190370,2025.1672
27,17984,OcnA-S116-02,68476,193657,969.4666
27,17984,OcnA-S116-02,85410,190209,6771.9673
27,17984,OcnA-S116-02,85482,190360,1822.5494
27,17984,OcnA-S116-02,85487,190369,0.5833
27,17984,OcnA-S116-02,86133,191377,1581.7665
27,17984,OcnA-S116-02,86689,192226,2457.1828
27,17984,OcnA-S116-02,87001,192719,1202.6335
27,17984,OcnA-S116-02,87209,193081,3755.1506
27,17984,OcnA-S116-02,88168,194565,2885.7832
27,18012,OcnA-S116-03,88307,194757,1811.9338
27,18409,OcnA-S216-02,78241,221050,26.9168
27,18409,OcnA-S216-02,86697,223559,1133.4667
27,18409,OcnA-S216-02,88864,221212,2231.3667
27,18409,OcnA-S216-02,94240,217289,2276.3169
27,18409,OcnA-S216-02,94327,216811,580.3167
27,18409,OcnA-S216-02,94556,215945,2287.2334
27,18409,OcnA-S216-02,94577,216023,1697.5829
27,18409,OcnA-S216-02,94876,218802,57.6666
27,18409,OcnA-S216-02,95368,220293,3368.0167
27,18409,OcnA-S216-02,95375,220307,224.7166
27,18409,OcnA-S216-02,95624,221332,2111.0837
27,18409,OcnA-S216-02,95868,221863,1929.4
27,18409,OcnA-S216-02,95921,222082,960.2998
60,17052,AnPhA-S116-01,60186,194798,2087.0501
60,17052,AnPhA-S116-01,66693,191610,2309.0334
60,17052,AnPhA-S116-01,66811,192283,5298.8507
60,17052,AnPhA-S116-01,66862,190115,1746.9667
60,17052,AnPhA-S116-01,67508,192500,2668.183
60,17052,AnPhA-S116-01,85970,191123,610.8334
60,17052,AnPhA-S116-01,86072,191275,608.1834
60,17052,AnPhA-S116-01,86267,191595,406.0001
60,17052,AnPhA-S116-01,86277,191608,3856.8672
60,17052,AnPhA-S116-01,86432,191845,3715.9002
60,17052,AnPhA-S116-01,86451,191875,4176.8337
60,17052,AnPhA-S116-01,86476,191915,1937.5168
60,17052,AnPhA-S116-01,86484,191924,1872.0336
60,17052,AnPhA-S116-01,86492,191935,893.1332
60,17052,AnPhA-S116-01,86504,191954,1551.3498
60,17052,AnPhA-S116-01,86588,192057,67.5167
60,17052,AnPhA-S116-01,88068,194423,535.8334
60,17052,AnPhA-S116-01,88099,194464,2615.4998
60,17052,AnPhA-S116-01,88641,195209,1998.4998
27,17146,OcnA-S116-01,54066,191909,2625.5164
27,17146,OcnA-S116-01,58178,194859,3502.0004
27,17146,OcnA-S116-01,76891,195135,2334.5502
27,17146,OcnA-S116-01,86758,192334,3742.8836
27,17146,OcnA-S116-01,86836,192450,46.6833
27,17146,OcnA-S116-01,86943,192639,1377.5666
27,17146,OcnA-S116-01,88440,195092,2600.1334
27,17146,OcnA-S116-01,88854,195645,762.5997
27,17146,OcnA-S116-01,90861,198337,2454.3332
27,17146,OcnA-S116-01,90928,198429,3900.2504
27,17146,OcnA-S116-01,91635,199920,3797.3334
27,17288,OcnA-T116-01,79893,198193,1856.6669
27,17288,OcnA-T116-01,84645,189082,48.0332
27,17288,OcnA-T116-01,84684,189158,3095.2494
27,17288,OcnA-T116-01,87955,194234,2420.5994
27,17288,OcnA-T116-01,88282,194717,2373.7169
27,17288,OcnA-T116-01,88340,194812,444.5
27,17288,OcnA-T116-01,88703,195428,1233.3832
27,17600,OcnA-S216-01,62175,224123,1403.6834
27,17600,OcnA-S216-01,68022,218819,39.7504
27,17600,OcnA-S216-01,76443,221213,100.3334
27,17600,OcnA-S216-01,80822,220424,4538.4835
27,17600,OcnA-S216-01,86296,216360,403.8
27,17600,OcnA-S216-01,86455,219688,2337.4167
27,17600,OcnA-S216-01,87825,217635,330.7998
27,17600,OcnA-S216-01,90996,224307,44.7332
27,17600,OcnA-S216-01,94323,216804,4214.7332
27,17600,OcnA-S216-01,94630,217837,245.2834
27,17600,OcnA-S216-01,94654,224125,3140.7669
27,17600,OcnA-S216-01,95091,217450,3475.8
27,17600,OcnA-S216-01,95533,221044,1591.2504
27,17600,OcnA-S216-01,95770,221784,3003.6162
27,17600,OcnA-S216-01,96671,224212,1734.6833
27,17600,OcnA-S216-01,96756,224448,3967.3171
27,17600,OcnA-S216-01,97006,225110,2399.5166
27,17984,OcnA-S116-02,54342,193082,1581.0831
27,17984,OcnA-S116-02,87122,192932,546.4335
27,17984,OcnA-S116-02,88166,194563,2137.7164
27,17984,OcnA-S116-02,90090,197158,1430.217
27,17984,OcnA-S116-02,92021,200672,758.3668
27,18409,OcnA-S216-02,54567,216244,1180.2664
27,18409,OcnA-S216-02,78002,218918,1290.4502
27,18409,OcnA-S216-02,88642,221197,1980.6001
27,18409,OcnA-S216-02,88803,223225,2015.5833
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1 | library(tidyverse)
2 |
3 | # for sci_mo_processed
4 | sci_mo_processed <- read_csv(here::here("data-raw", "wt01_online-science-motivation", "processed", "sci_mo_processed.csv"))
5 | usethis::use_data(sci_mo_processed, overwrite = TRUE)
6 |
7 | # for sci_mo_text
8 | old_data_with_liwc <- read_csv(here::here("data-raw", "wt01_online-science-motivation", "raw", "sci_mo_data.csv"))
9 | old_data_with_liwc <- old_data_with_liwc %>%
10 | dplyr::select(student_id = student_ID, enrollment_status, enrollment_reason, cogproc:WC, n)
11 |
12 | sci_mo_with_text <- sci_mo_processed %>%
13 | left_join(old_data_with_liwc)
14 |
15 | sci_mo_with_text <- sci_mo_with_text %>%
16 | rename(
17 | final_grade = FinalGradeCEMS,
18 | time_spent = TimeSpent
19 | )
20 |
21 | usethis::use_data(sci_mo_with_text, overwrite = TRUE)
22 |
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2 | ProjectId: 3c7a388e-327e-4345-92c4-c219ee778176
3 |
4 | RestoreWorkspace: Default
5 | SaveWorkspace: Default
6 | AlwaysSaveHistory: Default
7 |
8 | EnableCodeIndexing: Yes
9 | UseSpacesForTab: Yes
10 | NumSpacesForTab: 2
11 | Encoding: UTF-8
12 |
13 | RnwWeave: Sweave
14 | LaTeX: pdfLaTeX
15 |
16 | BuildType: Package
17 | PackageUseDevtools: Yes
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61 | 94876,OcnA-S216-02,57.6666
62 | 95368,OcnA-S216-02,3368.0167
63 | 95375,OcnA-S216-02,224.7166
64 | 95624,OcnA-S216-02,2111.0837
65 | 95868,OcnA-S216-02,1929.4
66 | 95921,OcnA-S216-02,960.2998
67 | 60186,AnPhA-S116-01,2087.0501
68 | 66693,AnPhA-S116-01,2309.0334
69 | 66811,AnPhA-S116-01,5298.8507
70 | 66862,AnPhA-S116-01,1746.9667
71 | 67508,AnPhA-S116-01,2668.183
72 | 85970,AnPhA-S116-01,610.8334
73 | 86072,AnPhA-S116-01,608.1834
74 | 86267,AnPhA-S116-01,406.0001
75 | 86277,AnPhA-S116-01,3856.8672
76 | 86432,AnPhA-S116-01,3715.9002
77 | 86451,AnPhA-S116-01,4176.8337
78 | 86476,AnPhA-S116-01,1937.5168
79 | 86484,AnPhA-S116-01,1872.0336
80 | 86492,AnPhA-S116-01,893.1332
81 | 86504,AnPhA-S116-01,1551.3498
82 | 86588,AnPhA-S116-01,67.5167
83 | 88068,AnPhA-S116-01,535.8334
84 | 88099,AnPhA-S116-01,2615.4998
85 | 88641,AnPhA-S116-01,1998.4998
86 | 54066,OcnA-S116-01,2625.5164
87 | 58178,OcnA-S116-01,3502.0004
88 | 76891,OcnA-S116-01,2334.5502
89 | 86758,OcnA-S116-01,3742.8836
90 | 86836,OcnA-S116-01,46.6833
91 | 86943,OcnA-S116-01,1377.5666
92 | 88440,OcnA-S116-01,2600.1334
93 | 88854,OcnA-S116-01,762.5997
94 | 90861,OcnA-S116-01,2454.3332
95 | 90928,OcnA-S116-01,3900.2504
96 | 91635,OcnA-S116-01,3797.3334
97 | 79893,OcnA-T116-01,1856.6669
98 | 84645,OcnA-T116-01,48.0332
99 | 84684,OcnA-T116-01,3095.2494
100 | 87955,OcnA-T116-01,2420.5994
101 | 88282,OcnA-T116-01,2373.7169
102 | 88340,OcnA-T116-01,444.5
103 | 88703,OcnA-T116-01,1233.3832
104 | 62175,OcnA-S216-01,1403.6834
105 | 68022,OcnA-S216-01,39.7504
106 | 76443,OcnA-S216-01,100.3334
107 | 80822,OcnA-S216-01,4538.4835
108 | 86296,OcnA-S216-01,403.8
109 | 86455,OcnA-S216-01,2337.4167
110 | 87825,OcnA-S216-01,330.7998
111 | 90996,OcnA-S216-01,44.7332
112 | 94323,OcnA-S216-01,4214.7332
113 | 94630,OcnA-S216-01,245.2834
114 | 94654,OcnA-S216-01,3140.7669
115 | 95091,OcnA-S216-01,3475.8
116 | 95533,OcnA-S216-01,1591.2504
117 | 95770,OcnA-S216-01,3003.6162
118 | 96671,OcnA-S216-01,1734.6833
119 | 96756,OcnA-S216-01,3967.3171
120 | 97006,OcnA-S216-01,2399.5166
121 | 54342,OcnA-S116-02,1581.0831
122 | 87122,OcnA-S116-02,546.4335
123 | 88166,OcnA-S116-02,2137.7164
124 | 90090,OcnA-S116-02,1430.217
125 | 92021,OcnA-S116-02,758.3668
126 | 54567,OcnA-S216-02,1180.2664
127 | 78002,OcnA-S216-02,1290.4502
128 | 88642,OcnA-S216-02,1980.6001
129 | 88803,OcnA-S216-02,2015.5833
130 | 91163,OcnA-S216-02,6243.9003
131 | 91252,OcnA-S216-02,1479.8998
132 | 70532,AnPhA-S116-01,2938.4666
133 | 77010,AnPhA-S116-01,1533.0996
134 | 85249,AnPhA-S116-01,1209.8496
135 | 85411,AnPhA-S116-01,473.0333
136 | 85583,AnPhA-S116-01,5532.4164
137 | 85865,AnPhA-S116-01,95.3
138 | 85866,AnPhA-S116-01,3050.0831
139 | 86119,AnPhA-S116-01,2127.0664
140 | 86275,AnPhA-S116-01,7067.1498
141 | 86286,AnPhA-S116-01,4140.4495
142 | 86294,AnPhA-S116-01,4239.5495
143 | 86429,AnPhA-S116-01,7003.0005
144 | 86446,AnPhA-S116-01,2527.6997
145 | 86479,AnPhA-S116-01,2712.234
146 | 86488,AnPhA-S116-01,3599.7168
147 | 86608,AnPhA-S116-01,3109.0664
148 | 87043,AnPhA-S116-01,1587.1833
149 | 87166,AnPhA-S116-01,1471.8833
150 | 88050,AnPhA-S116-01,2130.6666
151 | 88153,AnPhA-S116-01,6954.6997
152 | 89142,AnPhA-S116-01,3067.4676
153 | 89194,AnPhA-S116-01,317.2168
154 | 89918,AnPhA-S116-01,6009.3666
155 | 66508,AnPhA-T116-01,0.45
156 | 76132,AnPhA-T116-01,5037.3331
157 | 79859,AnPhA-T116-01,2040.7333
158 | 84640,AnPhA-T116-01,2362.1
159 | 84641,AnPhA-T116-01,4614.4
160 | 84749,AnPhA-T116-01,4199.4169
161 | 88995,AnPhA-T116-01,119.3169
162 | 89005,AnPhA-T116-01,2429.3997
163 | 90516,AnPhA-T116-01,250.4331
164 | 58168,AnPhA-S216-01,433.3669
165 | 67013,AnPhA-S216-01,2297.2332
166 | 71725,AnPhA-S216-01,3514.5498
167 | 78164,AnPhA-S216-01,2591.6168
168 | 85248,AnPhA-S216-01,2269.8829
169 | 88612,AnPhA-S216-01,2258.9165
170 | 90305,AnPhA-S116-01,2363.6832
171 | 84757,AnPhA-T116-01,128.6165
172 | 87865,AnPhA-T116-01,1304.1168
173 | 52326,AnPhA-S216-01,1321.8164
174 | 69743,AnPhA-S216-01,7084.7003
175 | 76673,AnPhA-S216-01,4945.2164
176 | 76674,AnPhA-S216-01,2368.4997
177 | 76840,AnPhA-S216-01,3968.1668
178 | 76998,AnPhA-S216-01,1270.0997
179 | 86268,AnPhA-S216-01,1272.3172
180 | 86942,AnPhA-S216-01,3101.5166
181 | 88440,AnPhA-S216-01,2544.4002
182 | 91326,AnPhA-S216-01,657.1668
183 | 94246,AnPhA-S216-01,1351.9003
184 | 94805,AnPhA-S216-01,4438.7165
185 | 95545,AnPhA-S216-01,4284.4003
186 | 95601,AnPhA-S216-01,2915.5167
187 | 95915,AnPhA-S216-01,2670.7669
188 | 95957,AnPhA-S216-01,3542.5501
189 | 96690,AnPhA-S216-01,1969.5003
190 | 96720,AnPhA-S216-01,68.1167
191 | 57188,AnPhA-S116-02,5305.4334
192 | 79220,AnPhA-S116-02,3781.6498
193 | 86314,AnPhA-S116-02,3030.1667
194 | 90394,AnPhA-S116-02,1886.5329
195 | 90395,AnPhA-S116-02,2300.6664
196 | 90396,AnPhA-S116-02,3544.8161
197 | 90397,AnPhA-S116-02,2394.3497
198 | 90971,AnPhA-S116-02,3785.2838
199 | 91175,AnPhA-S116-02,1315.25
200 | 91574,AnPhA-S116-02,2999.75
201 | 91709,AnPhA-S116-02,4315.8839
202 | 91932,AnPhA-S116-02,1182.9667
203 | 74552,AnPhA-S216-02,6123.8832
204 | 94550,AnPhA-S216-02,2856.6166
205 | 94903,AnPhA-S216-02,2288.5835
206 | 95017,AnPhA-S216-02,2773.6164
207 | 95160,AnPhA-S216-02,4154.4333
208 | 95377,AnPhA-S216-02,1089.9667
209 | 95919,AnPhA-S216-02,1937.4333
210 | 96826,AnPhA-S216-02,1073.95
211 | 53447,FrScA-S116-01,1479.4166
212 | 61941,FrScA-S116-01,1637.9504
213 | 68188,FrScA-S116-01,583.2498
214 | 76840,FrScA-S116-01,2634.6832
215 | 85431,FrScA-S116-01,1448.9339
216 | 85432,FrScA-S116-01,874.0172
217 | 85443,FrScA-S116-01,1564.633
218 | 85649,FrScA-S116-01,1464.4668
219 | 85651,FrScA-S116-01,565.7832
220 | 85665,FrScA-S116-01,4046.6159
221 | 85668,FrScA-S116-01,379.1335
222 | 85791,FrScA-S116-01,1461.8332
223 | 85929,FrScA-S116-01,1297.9167
224 | 85930,FrScA-S116-01,1647.2669
225 | 86271,FrScA-S116-01,282.7834
226 | 86339,FrScA-S116-01,598.783
227 | 86340,FrScA-S116-01,1077.3504
228 | 86365,FrScA-S116-01,1027.7002
229 | 86455,FrScA-S116-01,1616.3337
230 | 86543,FrScA-S116-01,1425.9832
231 | 86709,FrScA-S116-01,1600.3334
232 | 86792,FrScA-S116-01,879.1998
233 | 86793,FrScA-S116-01,553.3835
234 | 86803,FrScA-S116-01,3344.1504
235 | 86815,FrScA-S116-01,1666.7332
236 | 87027,FrScA-S116-01,1605.0336
237 | 87093,FrScA-S116-01,486.65
238 | 87163,FrScA-S116-01,1365.8501
239 | 87484,FrScA-S116-01,3341.9499
240 | 87485,FrScA-S116-01,1451.8836
241 | 87489,FrScA-S116-01,1075.0999
242 | 87805,FrScA-S116-01,1388.1167
243 | 87906,FrScA-S116-01,1095.6001
244 | 87914,FrScA-S116-01,1156.1668
245 | 87927,FrScA-S116-01,3934.8498
246 | 88261,FrScA-S116-01,1269.6667
247 | 88493,FrScA-S116-01,56.3166
248 | 88527,FrScA-S116-01,1551.6665
249 | 89128,FrScA-S116-01,362.8837
250 | 90433,FrScA-S116-01,2689.2001
251 | 91471,FrScA-S116-01,946.7998
252 | 72287,FrScA-T116-01,3946.5666
253 | 91313,AnPhA-S216-01,3134.9666
254 | 94691,AnPhA-S216-01,258.35
255 | 94846,AnPhA-S216-01,764.1668
256 | 94872,AnPhA-S216-01,3547.0667
257 | 95014,AnPhA-S216-01,2999.9832
258 | 95114,AnPhA-S216-01,546.85
259 | 95283,AnPhA-S216-01,2689.4502
260 | 95594,AnPhA-S216-01,1419.8
261 | 95618,AnPhA-S216-01,3789.3996
262 | 95620,AnPhA-S216-01,4013.3999
263 | 95634,AnPhA-S216-01,4466.367
264 | 96228,AnPhA-S216-01,1747.1669
265 | 96640,AnPhA-S216-01,769.2331
266 | 96677,AnPhA-S216-01,11.0333
267 | 96680,AnPhA-S216-01,1776.5166
268 | 96853,AnPhA-S216-01,2521.2334
269 | 96854,AnPhA-S216-01,2563.3833
270 | 96959,AnPhA-S216-01,1727.2666
271 | 96994,AnPhA-S216-01,2676.7501
272 | 56152,AnPhA-S116-02,4438.8165
273 | 65627,AnPhA-S116-02,2164.9001
274 | 70192,AnPhA-S116-02,1537.1834
275 | 76930,AnPhA-S116-02,2804.9832
276 | 86707,AnPhA-S116-02,2143.133
277 | 90398,AnPhA-S116-02,4264.25
278 | 90399,AnPhA-S116-02,768.4833
279 | 90956,AnPhA-S116-02,1550.4668
280 | 90995,AnPhA-S116-02,202.2832
281 | 91065,AnPhA-S116-02,1334.7001
282 | 91319,AnPhA-S116-02,686.2998
283 | 91320,AnPhA-S116-02,584.9166
284 | 91619,AnPhA-S116-02,1272.2331
285 | 91634,AnPhA-S116-02,1857.8168
286 | 91672,AnPhA-S116-02,2763.0331
287 | 91771,AnPhA-S116-02,540.5001
288 | 92185,AnPhA-S116-02,6162.1998
289 | 88979,AnPhA-S216-02,364.5001
290 | 91164,AnPhA-S216-02,4359.0996
291 | 94219,AnPhA-S216-02,151.75
292 | 94542,AnPhA-S216-02,1558.5331
293 | 94545,AnPhA-S216-02,855.3833
294 | 94898,AnPhA-S216-02,1904.1662
295 | 95041,AnPhA-S216-02,322.9502
296 | 95264,AnPhA-S216-02,237.3
297 | 96871,AnPhA-S216-02,244.3835
298 | 55283,FrScA-S116-01,3.9167
299 | 69072,FrScA-S116-01,956.1665
300 | 70037,FrScA-S116-01,2591.1496
301 | 77246,FrScA-S116-01,782.5002
302 | 85323,FrScA-S116-01,1449.7001
303 | 85416,FrScA-S116-01,846.5665
304 | 85433,FrScA-S116-01,2575.4667
305 | 85539,FrScA-S116-01,2948.6174
306 | 85579,FrScA-S116-01,2822.5166
307 | 85650,FrScA-S116-01,2689.1334
308 | 85662,FrScA-S116-01,107.8999
309 | 85663,FrScA-S116-01,191.3834
310 | 85792,FrScA-S116-01,1687.3165
311 | 86105,FrScA-S116-01,4075.5504
312 | 86280,FrScA-S116-01,2167.9669
313 | 86364,FrScA-S116-01,3429.2834
314 | 86476,FrScA-S116-01,1673.8004
315 | 86679,FrScA-S116-01,2267.4
316 | 86794,FrScA-S116-01,1274.8167
317 | 87010,FrScA-S116-01,1920.8168
318 | 87504,FrScA-S116-01,1330.8502
319 | 87579,FrScA-S116-01,1451.9169
320 | 87905,FrScA-S116-01,2166.8999
321 | 88501,FrScA-S116-01,3315.3331
322 | 90095,FrScA-S116-01,1476.0832
323 | 91173,FrScA-S116-01,756.0998
324 | 92143,FrScA-S116-01,1792.1003
325 | 92214,FrScA-S116-01,1101.833
326 | 64930,FrScA-T116-01,3424.5662
327 | 87866,FrScA-T116-01,1988.8836
328 | 69182,FrScA-S216-01,444.4832
329 | 69397,FrScA-S216-01,1087.6003
330 | 71110,FrScA-S216-01,2006.4003
331 | 71415,FrScA-S216-01,408.4
332 | 77190,FrScA-S216-01,763.1498
333 | 78000,FrScA-S216-01,1366.5835
334 | 85123,FrScA-S216-01,1341.7002
335 | 85258,FrScA-S216-01,2285.7836
336 | 87693,FrScA-T116-01,2479.8167
337 | 47448,FrScA-S216-01,860.4335
338 | 53475,FrScA-S216-01,1867.4169
339 | 55078,FrScA-S216-01,2130.7497
340 | 57188,FrScA-S216-01,2193.0833
341 | 65116,FrScA-S216-01,1918.6166
342 | 66689,FrScA-S216-01,1137.8334
343 | 67463,FrScA-S216-01,1359.033
344 | 68795,FrScA-S216-01,3022.5333
345 | 85583,FrScA-S216-01,3382.9006
346 | 85642,FrScA-S216-01,1627.3499
347 | 85644,FrScA-S216-01,890.4333
348 | 85659,FrScA-S216-01,816.7002
349 | 86349,FrScA-S216-01,847.9663
350 | 86490,FrScA-S216-01,1101.2833
351 | 86515,FrScA-S216-01,846.0835
352 | 87020,FrScA-S216-01,1788.9003
353 | 87861,FrScA-S216-01,3303.3832
354 | 88596,FrScA-S216-01,1395.8998
355 | 88854,FrScA-S216-01,885.9167
356 | 89333,FrScA-S216-01,945.417
357 | 89345,FrScA-S216-01,48.4333
358 | 90029,FrScA-S216-01,766.5663
359 | 90277,FrScA-S216-01,1097.8003
360 | 90394,FrScA-S216-01,871.2833
361 | 90622,FrScA-S216-01,1077.1836
362 | 90989,FrScA-S216-01,1821.6838
363 | 91212,FrScA-S216-01,906.8832
364 | 94070,FrScA-S216-01,2469.4006
365 | 94135,FrScA-S216-01,706.2332
366 | 94257,FrScA-S216-01,1175.833
367 | 94292,FrScA-S216-01,3135.3167
368 | 94332,FrScA-S216-01,1272.7337
369 | 94356,FrScA-S216-01,160.4166
370 | 94370,FrScA-S216-01,940.3001
371 | 94376,FrScA-S216-01,1434.3999
372 | 94402,FrScA-S216-01,177.7168
373 | 94404,FrScA-S216-01,1665.1169
374 | 94756,FrScA-S216-01,1122.5334
375 | 94824,FrScA-S216-01,2414.5498
376 | 95045,FrScA-S216-01,2977.4502
377 | 95165,FrScA-S216-01,1113.2168
378 | 95360,FrScA-S216-01,1613.3166
379 | 95449,FrScA-S216-01,1232.8665
380 | 95485,FrScA-S216-01,193.0498
381 | 95621,FrScA-S216-01,1903.0337
382 | 95632,FrScA-S216-01,948.1999
383 | 95684,FrScA-S216-01,88.5167
384 | 95743,FrScA-S216-01,3122.9167
385 | 95896,FrScA-S216-01,1133.2169
386 | 95991,FrScA-S216-01,870.3836
387 | 67762,FrScA-S116-02,801.2336
388 | 68768,FrScA-S116-02,1966.0169
389 | 77298,FrScA-S116-02,1907.6502
390 | 85661,FrScA-S116-02,1375.4834
391 | 91340,FrScA-S116-02,1182.9332
392 | 57224,FrScA-S116-03,2356.4668
393 | 70068,FrScA-S116-03,2101.933
394 | 73132,FrScA-S116-03,1746.5501
395 | 78691,FrScA-S116-03,1559.9667
396 | 85701,FrScA-S116-03,2381.6998
397 | 85702,FrScA-S116-03,638.7338
398 | 85704,FrScA-S116-03,1376.483
399 | 85891,FrScA-S116-03,1784.2506
400 | 86309,FrScA-S116-03,1219.4837
401 | 88409,FrScA-S116-03,2313.5495
402 | 88636,FrScA-S116-03,1284.8333
403 | 88835,FrScA-S116-03,2062.95
404 | 88836,FrScA-S116-03,152.7499
405 | 88868,FrScA-S116-03,1174.3499
406 | 88874,FrScA-S116-03,700.9668
407 | 88886,FrScA-S116-03,1598.3499
408 | 89165,FrScA-S116-03,2571.5334
409 | 89168,FrScA-S116-03,60.65
410 | 89376,FrScA-S116-03,3780.5335
411 | 89388,FrScA-S116-03,2999.8498
412 | 90097,FrScA-S116-03,1145.5167
413 | 90370,FrScA-S116-03,3890
414 | 90589,FrScA-S116-03,123.1833
415 | 88075,FrScA-S116-04,4323.8332
416 | 91477,FrScA-S116-04,1192.1837
417 | 77980,FrScA-S216-02,3031.3165
418 | 88048,FrScA-S216-02,2269.133
419 | 85287,FrScA-S216-01,156.5829
420 | 85796,FrScA-S216-01,1024.7833
421 | 86229,FrScA-S216-01,1210.0499
422 | 86251,FrScA-S216-01,1374.95
423 | 86836,FrScA-S216-01,1422.7335
424 | 88845,FrScA-S216-01,1075.6163
425 | 89374,FrScA-S216-01,2517.95
426 | 89465,FrScA-S216-01,24.65
427 | 90636,FrScA-S216-01,849.6835
428 | 92124,FrScA-S216-01,918.1832
429 | 94156,FrScA-S216-01,2598.5669
430 | 94172,FrScA-S216-01,1835.5833
431 | 94288,FrScA-S216-01,3058.6498
432 | 94331,FrScA-S216-01,524.7165
433 | 94400,FrScA-S216-01,2111.7837
434 | 94419,FrScA-S216-01,1095.1999
435 | 94586,FrScA-S216-01,791.0503
436 | 94661,FrScA-S216-01,1705.1165
437 | 94869,FrScA-S216-01,955.3
438 | 95005,FrScA-S216-01,2182.8836
439 | 95633,FrScA-S216-01,981.7835
440 | 95726,FrScA-S216-01,1823.8667
441 | 95989,FrScA-S216-01,873.6171
442 | 62157,FrScA-S116-02,2497.1666
443 | 85567,FrScA-S116-02,2544.3666
444 | 85698,FrScA-S116-02,1070.2167
445 | 86627,FrScA-S116-02,2193.117
446 | 77976,FrScA-S116-03,2448.4838
447 | 85573,FrScA-S116-03,1978.0169
448 | 85574,FrScA-S116-03,1871.1168
449 | 85700,FrScA-S116-03,787.2831
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453 | 90098,FrScA-S116-03,1692.6164
454 | 90274,FrScA-S116-03,1517.5835
455 | 90372,FrScA-S116-03,1378.984
456 | 90855,FrScA-S116-03,1103.0832
457 | 90878,FrScA-S116-03,1178.0834
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497 | 52446,PhysA-S116-01,1390.2167
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499 | 62576,PhysA-S116-01,793.95
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501 | 74551,PhysA-S116-01,1014.5665
502 | 89994,FrScA-S216-02,2310.3333
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563 | 92743,PhysA-S116-01,1711.0164
564 | 67102,PhysA-S216-01,719.2833
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566 | 78153,PhysA-S216-01,1769.8667
567 | 94189,PhysA-S216-01,2321.7998
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572 | 96027,PhysA-S216-01,2363.2667
573 | 96090,PhysA-S216-01,112.5167
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576 | 76133,PhysA-S116-01,1276.5167
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578 | 85953,PhysA-S116-01,3255.3003
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580 | 88481,PhysA-S116-01,642.0504
581 | 89395,PhysA-S116-01,2432.7831
582 | 90326,PhysA-S116-01,509.5167
583 | 90333,PhysA-S116-01,231.7502
584 | 91030,PhysA-S116-01,1302.8501
585 | 91575,PhysA-S116-01,2219.916
586 | 91821,PhysA-S116-01,377.7002
587 | 92724,PhysA-S116-01,2700.6668
588 | 92725,PhysA-S116-01,2058.4167
589 | 92726,PhysA-S116-01,1901.9166
590 | 92727,PhysA-S116-01,898
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592 | 92741,PhysA-S116-01,5373.3502
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597 | 96590,PhysA-S216-01,262.1667
598 | 96808,PhysA-S216-01,2446.3169
599 | 96867,PhysA-S216-01,1841.7836
600 |
--------------------------------------------------------------------------------
/inst/extdata/district_merged_df.csv:
--------------------------------------------------------------------------------
1 | school_name,na_num,na_pct,aa_num,aa_pct,as_num,as_pct,hi_num,hi_pct,wh_num,wh_pct,tot,not_eligible_num,reduce_num,free_num,frpl_num,frpl_pct,hi_povnum,aa_povnum,wh_povnum,as_povnum,na_povnum,hi_povsch,aa_povsch,as_povsch,wh_povsch,na_povsch
2 | ARMATAGE,5,0.008264462809917356,119,0.19669421487603306,33,0.05454545454545454,29,0.047933884297520664,416,0.687603305785124,605,464,17,134,615,0.24552845528455283,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
3 | BANCROFT,49,0.09741550695825049,238,0.4731610337972167,20,0.039761431411530816,93,0.1848906560636183,103,0.2047713717693837,503,114,36,355,505,0.7742574257425743,93,238,103,20,49,0.01561975142761169,0.01852572585039309,0.01,0.008312484868049391,0.04103852596314908
4 | BETHUNE,3,0.010948905109489052,232,0.8467153284671532,8,0.029197080291970802,9,0.032846715328467155,22,0.08029197080291971,274,16,6,287,309,0.948220064724919,9,232,22,8,3,0.0015115888478333893,0.01805869074492099,0.004,0.0017754822048260835,0.002512562814070352
5 | BRYN MAWR,11,0.03678929765886288,148,0.49498327759197325,77,0.25752508361204013,32,0.10702341137123746,31,0.10367892976588629,299,69,31,240,340,0.7970588235294118,32,148,31,77,11,0.0053745381256298285,0.011520199268311668,0.0385,0.0025018158340731175,0.009212730318257957
6 | BURROUGHS,6,0.008108108108108109,71,0.09594594594594595,51,0.06891891891891892,41,0.05540540540540541,567,0.7662162162162162,740,649,13,78,740,0.12297297297297298,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
7 | CITYVIEW COMMUNITY,12,0.045112781954887216,206,0.7744360902255639,13,0.04887218045112782,9,0.03383458646616541,26,0.09774436090225563,266,26,6,292,324,0.9197530864197531,9,206,26,13,12,0.0015115888478333893,0.016034871954541917,0.0065,0.0020982971511580985,0.010050251256281407
8 | DOWLING,11,0.023060796645702306,187,0.3920335429769392,9,0.018867924528301886,28,0.05870020964360587,242,0.5073375262054507,477,263,18,196,477,0.44863731656184486,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
9 | EMERSON SILC,8,0.01646090534979424,60,0.12345679012345678,6,0.012345679012345678,344,0.7078189300411523,68,0.13991769547325103,486,149,78,262,489,0.6952965235173824,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
10 | GREEN,6,0.021897810218978103,85,0.3102189781021898,7,0.025547445255474453,160,0.583941605839416,16,0.058394160583941604,274,24,21,278,323,0.9256965944272446,160,85,16,7,6,0.026872690628149145,0.006616330660854674,0.0035,0.0012912597853280607,0.005025125628140704
11 | HALE,4,0.006201550387596899,84,0.13023255813953488,34,0.05271317829457364,35,0.05426356589147287,486,0.7534883720930232,645,567,14,64,645,0.12093023255813953,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
12 | HALL,4,0.02072538860103627,161,0.8341968911917098,1,0.0051813471502590676,15,0.07772020725388601,12,0.06217616580310881,193,10,15,208,233,0.9570815450643777,15,161,12,1,4,0.0025193147463889822,0.012532108663501207,5e-4,9.684448389960455e-4,0.0033500837520938024
13 | HIAWATHA,6,0.024193548387096774,35,0.14112903225806453,9,0.036290322580645164,28,0.11290322580645161,170,0.6854838709677419,248,178,14,56,248,0.28225806451612906,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
14 | HOWE,12,0.05357142857142857,38,0.16964285714285715,6,0.026785714285714284,30,0.13392857142857142,136,0.6071428571428571,224,141,22,61,224,0.3705357142857143,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
15 | KENNY,4,0.008316008316008316,96,0.1995841995841996,30,0.062370062370062374,19,0.0395010395010395,331,0.6881496881496881,481,367,25,86,478,0.23221757322175732,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
16 | KENWOOD,2,0.004987531172069825,65,0.16209476309226933,43,0.10723192019950124,28,0.06982543640897755,262,0.6533665835411472,401,320,15,66,401,0.20199501246882792,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
17 | LAKE HARRIET LOWER,2,0.0039603960396039604,24,0.047524752475247525,39,0.07722772277227723,10,0.019801980198019802,427,0.8455445544554455,505,477,6,20,503,0.05168986083499006,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
18 | LIND,14,0.03580562659846547,283,0.7237851662404092,43,0.10997442455242967,21,0.05370843989769821,30,0.07672634271099744,391,30,27,332,389,0.922879177377892,21,283,30,43,14,0.003527040644944575,0.022028489141433797,0.0215,0.0024211120974901136,0.011725293132328308
19 | LK NOKOMIS WENONAH,5,0.0176678445229682,48,0.1696113074204947,6,0.02120141342756184,33,0.1166077738515901,191,0.6749116607773852,283,168,28,87,283,0.40636042402826855,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
20 | LORING,8,0.019801980198019802,180,0.44554455445544555,50,0.12376237623762376,39,0.09653465346534654,127,0.31435643564356436,404,138,61,204,403,0.6575682382133995,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
21 | LUCY LANEY @ CLVLND,13,0.029748283752860413,389,0.8901601830663616,7,0.016018306636155607,14,0.032036613272311214,14,0.032036613272311214,437,72,12,371,455,0.8417582417582418,14,389,14,7,13,0.0023513604299630502,0.030279442671440802,0.0035,0.0011298523121620531,0.010887772194304857
22 | LYNDALE,9,0.01818181818181818,225,0.45454545454545453,15,0.030303030303030304,55,0.1111111111111111,190,0.3838383838383838,495,223,34,238,495,0.5494949494949495,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
23 | NELLIE STONE JOHNSON,11,0.028350515463917526,208,0.5360824742268041,6,0.015463917525773196,143,0.36855670103092786,19,0.04896907216494845,388,17,38,371,426,0.960093896713615,143,208,19,6,11,0.024017467248908297,0.016190550323032616,0.003,0.001533370995077072,0.009212730318257957
24 | NORTHROP,13,0.02636916835699797,38,0.07707910750507099,22,0.04462474645030426,44,0.08924949290060852,375,0.7606490872210954,493,388,23,82,493,0.2129817444219067,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
25 | PILLSBURY,5,0.015527950310559006,169,0.5248447204968945,4,0.012422360248447204,83,0.2577639751552795,61,0.18944099378881987,322,52,37,233,322,0.8385093167701864,83,169,61,4,5,0.013940208263352368,0.013154822137463999,0.002,0.004922927931563232,0.0041876046901172526
26 | PRATT,23,0.08394160583941605,142,0.5182481751824818,7,0.025547445255474453,17,0.06204379562043796,85,0.3102189781021898,274,116,12,146,274,0.5766423357664233,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
27 | SHERIDAN,15,0.05434782608695652,128,0.463768115942029,9,0.03260869565217391,82,0.2971014492753623,41,0.14855072463768115,276,45,33,198,276,0.8369565217391305,82,128,41,9,15,0.013772253946926436,0.009963415583404685,0.0045,0.0033088531999031557,0.01256281407035176
28 | WAITE PARK,16,0.0392156862745098,98,0.24019607843137256,23,0.056372549019607844,40,0.09803921568627451,231,0.5661764705882353,408,226,40,143,409,0.4474327628361858,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
29 | WEBSTER COMMUNITY,16,0.05776173285198556,67,0.24187725631768953,36,0.1299638989169675,36,0.1299638989169675,122,0.4404332129963899,277,145,15,137,297,0.5117845117845118,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
30 | WHITTIER,6,0.011342155009451797,269,0.5085066162570888,15,0.02835538752362949,133,0.2514177693761815,106,0.2003780718336484,529,129,39,360,528,0.7556818181818182,133,269,106,15,6,0.022337924084648974,0.02093874056199891,0.0075,0.008554596077798403,0.005025125628140704
31 | WINDOM,0,0,28,0.04835924006908463,10,0.017271157167530225,260,0.44905008635578586,279,0.48186528497409326,579,382,55,144,581,0.342512908777969,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
32 | ANDERSEN UNITED,27,0.031990521327014215,311,0.3684834123222749,11,0.013033175355450236,460,0.5450236966824644,35,0.041469194312796206,844,57,100,727,884,0.9355203619909502,460,311,35,11,27,0.07725898555592879,0.024207986300303574,0.0055,0.0028246307804051327,0.022613065326633167
33 | ANISHINABE ACAD,151,0.695852534562212,19,0.08755760368663594,1,0.004608294930875576,37,0.17050691244239632,6,0.027649769585253458,217,21,7,222,250,0.916,37,19,6,1,151,0.006214309707759489,0.001478944500661633,5e-4,4.8422241949802277e-4,0.12646566164154105
34 | BARTON,6,0.008583690987124463,285,0.40772532188841204,26,0.03719599427753934,27,0.03862660944206009,353,0.5050071530758226,699,394,35,270,699,0.4363376251788269,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
35 | FIELD,9,0.017374517374517374,67,0.12934362934362933,22,0.04247104247104247,33,0.0637065637065637,385,0.7432432432432432,518,422,28,67,517,0.18375241779497098,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
36 | FOLWELL FINE ARTS,37,0.045454545454545456,244,0.29975429975429974,8,0.009828009828009828,428,0.5257985257985258,96,0.11793611793611794,814,117,85,612,814,0.8562653562653563,428,244,96,8,37,0.07188444743029895,0.018992760955865183,0.004,0.007747558711968364,0.03098827470686767
37 | HMONG INTERNATIONAL,12,0.022598870056497175,255,0.480225988700565,239,0.4500941619585687,16,0.030131826741996232,9,0.01694915254237288,531,59,43,423,525,0.8876190476190476,16,255,9,239,12,0.0026872690628149142,0.019848991982564023,0.1195,7.263336292470342e-4,0.010050251256281407
38 | JEFFERSON,8,0.017817371937639197,177,0.39420935412026725,14,0.031180400890868598,230,0.512249443207127,19,0.042316258351893093,449,36,39,405,480,0.925,230,177,19,14,8,0.038629492777964396,0.013777535611426792,0.007,0.001533370995077072,0.006700167504187605
39 | LAKE HARRIET UPPER,0,0,20,0.031545741324921134,43,0.06782334384858044,24,0.03785488958990536,547,0.862776025236593,634,590,8,36,634,0.0694006309148265,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
40 | LK NOKOMIS KEEWAYDIN,13,0.028017241379310345,87,0.1875,20,0.04310344827586207,72,0.15517241379310345,271,0.584051724137931,464,253,42,168,463,0.4535637149028078,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
41 | MARCY OPEN,16,0.02165087956698241,310,0.41948579161028415,37,0.05006765899864682,65,0.08795669824086604,309,0.4181326116373478,739,360,45,334,739,0.5128552097428958,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
42 | SEWARD,22,0.026004728132387706,423,0.5,29,0.034278959810874705,43,0.0508274231678487,328,0.3877068557919622,846,385,36,425,846,0.5449172576832151,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
43 | SULLIVAN,27,0.05142857142857143,451,0.8590476190476191,5,0.009523809523809525,21,0.04,21,0.04,525,75,25,487,587,0.8722316865417377,21,451,21,5,27,0.003527040644944575,0.03510547209465245,0.0025,0.0016947784682430796,0.022613065326633167
44 | ANTHONY,3,0.0038363171355498722,224,0.2864450127877238,33,0.04219948849104859,90,0.11508951406649616,429,0.5485933503836317,782,485,39,257,781,0.37900128040973113,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
45 | ANWATIN NEW,14,0.024955436720142603,219,0.39037433155080214,39,0.06951871657754011,199,0.35472370766488415,89,0.1586452762923351,561,185,52,318,555,0.6666666666666666,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
46 | FRANKLIN,16,0.043243243243243246,270,0.7297297297297297,6,0.016216216216216217,64,0.17297297297297298,12,0.032432432432432434,370,45,22,301,368,0.8777173913043478,64,270,12,6,16,0.010749076251259657,0.021016579746244258,0.003,9.684448389960455e-4,0.01340033500837521
47 | JUSTICE PAGE,13,0.015366430260047281,199,0.23522458628841608,31,0.03664302600472813,155,0.18321513002364065,445,0.5260047281323877,846,487,49,308,844,0.42298578199052134,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
48 | NORTHEAST,48,0.09542743538767395,219,0.43538767395626243,22,0.0437375745526839,98,0.19483101391650098,116,0.23061630218687873,503,134,38,330,502,0.7330677290836654,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
49 | OLSON,10,0.02564102564102564,252,0.6461538461538462,33,0.08461538461538462,47,0.12051282051282051,48,0.12307692307692308,390,72,31,284,387,0.813953488372093,47,252,48,33,10,0.007893852872018811,0.019615474429827976,0.0165,0.003873779355984182,0.008375209380234505
50 | SANFORD,76,0.07835051546391752,268,0.27628865979381445,38,0.03917525773195876,184,0.18969072164948453,403,0.4154639175257732,970,420,81,469,970,0.5670103092783505,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
51 | EDISON HIGH,38,0.03766105054509415,569,0.5639246778989098,51,0.05054509415262636,167,0.16551040634291378,184,0.1823587710604559,1009,252,74,679,1005,0.7492537313432835,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
52 | FAIR HIGH SCHOOL,5,0.022026431718061675,105,0.46255506607929514,7,0.030837004405286344,36,0.15859030837004406,72,0.31718061674008813,227,85,26,112,223,0.6188340807174888,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
53 | HENRY HIGH,18,0.0169971671388102,538,0.5080264400377715,328,0.3097261567516525,104,0.09820585457979225,70,0.06610009442870633,1059,335,60,662,1057,0.6830652790917692,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
54 | HERITAGE,1,0.004878048780487805,203,0.9902439024390244,0,0,0,0,1,0.004878048780487805,205,30,1,172,203,0.8522167487684729,0,203,1,0,1,0,0.01580135440180587,0,8.07037365830038e-5,8.375209380234506e-4
55 | NORTH ACADEMY,5,0.011160714285714286,403,0.8995535714285714,9,0.020089285714285716,21,0.046875,10,0.022321428571428572,448,85,13,349,447,0.8098434004474273,21,403,10,9,5,0.003527040644944575,0.03136919125087569,0.0045,8.07037365830038e-4,0.0041876046901172526
56 | ROOSEVELT HIGH,48,0.047058823529411764,360,0.35294117647058826,42,0.041176470588235294,338,0.33137254901960783,231,0.22647058823529412,1020,416,66,532,1014,0.5897435897435898,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
57 | SOUTH HIGH,115,0.06605399195864446,660,0.3790924755887421,63,0.03618609994256174,313,0.1797817346352671,589,0.3383113153360138,1741,790,100,849,1739,0.5457159286946521,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
58 | SOUTHWEST HIGH,18,0.00932642487046632,548,0.2839378238341969,95,0.04922279792746114,207,0.10725388601036269,1057,0.5476683937823834,1930,1203,100,620,1923,0.374414976599064,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
59 | WASHBURN HIGH,19,0.011627906976744186,366,0.22399020807833536,70,0.042839657282741736,261,0.15973072215422277,916,0.5605875152998776,1634,1014,130,488,1632,0.3786764705882353,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
60 | LONGFELLOW,9,0.11392405063291139,27,0.34177215189873417,2,0.02531645569620253,40,0.5063291139240507,1,0.012658227848101266,79,2,0,70,72,0.9722222222222222,40,27,1,2,9,0.006718172657037286,0.002101657974624426,0.001,8.07037365830038e-5,0.007537688442211055
61 | MACC,3,0.08333333333333333,24,0.6666666666666666,2,0.05555555555555555,6,0.16666666666666666,1,0.027777777777777776,36,7,1,24,32,0.78125,6,24,1,2,3,0.001007725898555593,0.0018681404218883785,0.001,8.07037365830038e-5,0.002512562814070352
62 | WELLSTONE,0,0,141,0.5595238095238095,8,0.031746031746031744,99,0.39285714285714285,4,0.015873015873015872,252,10,7,191,208,0.9519230769230769,99,141,4,8,0,0.016627477326167282,0.010975324978594225,0.004,3.228149463320152e-4,0
63 | WELLSTONE SWS,0,0,16,0.6666666666666666,0,0,8,0.3333333333333333,0,0,24,0,0,17,17,1,8,16,0,0,0,0.0013436345314074571,0.0012454269479255857,0,0,0
64 | HARRISON SEC CTR,2,0.06896551724137931,24,0.8275862068965517,0,0,1,0.034482758620689655,2,0.06896551724137931,29,4,1,24,29,0.8620689655172413,1,24,2,0,2,1.6795431642593214e-4,0.0018681404218883785,0,1.614074731660076e-4,0.0016750418760469012
65 | RIVER BEND ED CNT,5,0.05813953488372093,68,0.7906976744186046,1,0.011627906976744186,5,0.05813953488372093,7,0.08139534883720931,86,6,3,77,86,0.9302325581395349,5,68,7,1,5,8.397715821296608e-4,0.005293064528683739,5e-4,5.649261560810266e-4,0.0041876046901172526
66 | TRANSITION PLUS,11,0.040145985401459854,138,0.5036496350364964,9,0.032846715328467155,48,0.17518248175182483,68,0.24817518248175183,274,71,19,179,269,0.7360594795539034,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
67 | AMERICAN IND OIC,30,0.8333333333333334,1,0.027777777777777776,0,0,4,0.1111111111111111,1,0.027777777777777776,36,6,2,28,36,0.8333333333333334,4,1,1,0,30,6.718172657037286e-4,7.78391842453491e-5,0,8.07037365830038e-5,0.02512562814070352
68 | CENTER SCHOOL,38,0.8085106382978723,1,0.02127659574468085,0,0,7,0.14893617021276595,0,0,47,5,1,41,47,0.8936170212765957,7,1,0,0,38,0.0011756802149815251,7.78391842453491e-5,0,0,0.031825795644891124
69 | LORING-NICOLLET,3,0.05,16,0.26666666666666666,5,0.08333333333333333,10,0.16666666666666666,26,0.43333333333333335,60,32,3,23,58,0.4482758620689655,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
70 | MENLO PARK,9,0.11688311688311688,36,0.4675324675324675,2,0.025974025974025976,13,0.16883116883116883,17,0.22077922077922077,77,20,3,49,72,0.7222222222222222,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
71 | MERC,5,0.0847457627118644,21,0.3559322033898305,2,0.03389830508474576,19,0.3220338983050847,12,0.2033898305084746,59,18,6,27,51,0.6470588235294118,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
72 | PLYMOUTH YTH CTR,0,0,105,0.8823529411764706,7,0.058823529411764705,4,0.03361344537815126,3,0.025210084033613446,119,17,2,81,100,0.83,4,105,3,7,0,6.718172657037286e-4,0.008173114345761656,0.0035,2.4211120974901139e-4,0
73 | RON MCDONALD HOUSE,0,0,3,0.42857142857142855,1,0.14285714285714285,0,0,3,0.42857142857142855,7,5,NA,2,7,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
74 | VOA PHOENIX,5,0.04672897196261682,53,0.4953271028037383,0,0,40,0.37383177570093457,9,0.08411214953271028,107,17,5,70,92,0.8152173913043478,40,53,9,0,5,0.006718172657037286,0.004125476765003503,0,7.263336292470342e-4,0.0041876046901172526
75 | Total,1194,0.034664963418882824,12847,0.3729822320288004,2000,0.05806526535826269,5954,0.172860294971548,12391,0.3597433515271165,34444,14992,2219,17538,34749,0.5685631241186797,2332,5561,766,556,535,0.39166946590527374,0.4328637035883864,0.278,0.061819062222580906,0.4480737018425461
76 |
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/inst/extdata/frpl_pdf.json:
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1 | [[["SCHOOL NAME short","Ineligible","Reduced","Free","Total","% F/R"],["ANDERSEN UNITED","57","100","727","884","93.6%"],["ANISHINABE ACAD","21","7","222","250","91.6%"],["ARMATAGE","464","17","134","615","24.6%"],["BANCROFT","114","36","355","505","77.4%"],["BARTON","394","35","270","699","43.6%"],["BETHUNE","16","6","287","309","94.8%"],["BRYN MAWR","69","31","240","340","79.7%"],["BURROUGHS","649","13","78","740","12.3%"],["CITYVIEW COMMUNITY","26","6","292","324","92.0%"],["DOWLING","263","18","196","477","44.9%"],["EMERSON SILC","149","78","262","489","69.5%"],["FIELD","422","28","67","517","18.4%"],["FOLWELL FINE ARTS","117","85","612","814","85.6%"],["GREEN","24","21","278","323","92.6%"],["HALE","567","14","64","645","12.1%"],["HALL","10","15","208","233","95.7%"],["HIAWATHA","178","14","56","248","28.2%"],["HMONG INTERNATIONAL","59","43","423","525","88.8%"],["HOWE","141","22","61","224","37.1%"],["JEFFERSON","36","39","405","480","92.5%"],["KENNY","367","25","86","478","23.2%"],["KENWOOD","320","15","66","401","20.2%"],["LAKE HARRIET LOWER","477","6","20","503","5.2%"],["LAKE HARRIET UPPER","590","8","36","634","6.9%"],["LIND","30","27","332","389","92.3%"],["LK NOKOMIS KEEWAYDIN","253","42","168","463","45.4%"],["LK NOKOMIS WENONAH","168","28","87","283","40.6%"],["LORING","138","61","204","403","65.8%"],["LUCY LANEY @ CLVLND","72","12","371","455","84.2%"],["LYNDALE","223","34","238","495","54.9%"],["MARCY OPEN","360","45","334","739","51.3%"],["NELLIE STONE JOHNSON","17","38","371","426","96.0%"],["NORTHROP","388","23","82","493","21.3%"],["PILLSBURY","52","37","233","322","83.9%"],["PRATT","116","12","146","274","57.7%"],["PREK NORTH","0","1","5","6","100.0%"],["PREK SOUTH","0","0","0","0","#DIV/0!"],["SEWARD","385","36","425","846","54.5%"],["SHERIDAN","45","33","198","276","83.7%"],["SULLIVAN","75","25","487","587","87.2%"],["WAITE PARK","226","40","143","409","44.7%"],["WEBSTER COMMUNITY","145","15","137","297","51.2%"],["WHITTIER","129","39","360","528","75.6%"],["WINDOM","382","55","144","581","34.3%"],["ELM K_08","8734","1285","9910","19929","56.2%"],["","","","","",""]],[["SCHOOL NAME short","Ineligible","Reduced","Free","Total","% F/R"],["ANTHONY","485","39","257","781","37.9%"],["ANWATIN NEW","185","52","318","555","66.7%"],["FRANKLIN","45","22","301","368","87.8%"],["JUSTICE PAGE","487","49","308","844","42.3%"],["NORTHEAST","134","38","330","502","73.3%"],["OLSON","72","31","284","387","81.4%"],["SANFORD","420","81","469","970","56.7%"],["Mid Schl","1828","312","2267","4407","58.5%"],["","","","","",""],["EDISON HIGH","252","74","679","1005","74.9%"],["FAIR HIGH SCHOOL","85","26","112","223","61.9%"],["HENRY HIGH","335","60","662","1057","68.3%"],["HENRY SWS","1","0","0","1","0.0%"],["HERITAGE","30","1","172","203","85.2%"],["NORTH ACADEMY","85","13","349","447","81.0%"],["ROOSEVELT HIGH","416","66","532","1014","59.0%"],["ROOSEVELT SWS","2","0","0","2","0.0%"],["SOUTH HIGH","790","100","849","1739","54.6%"],["SOUTHWEST HIGH","1203","100","620","1923","37.4%"],["WASHBURN HIGH","1014","130","488","1632","37.9%"],["WELLSTONE","10","7","191","208","95.2%"],["WELLSTONE SWS","0","0","17","17","100.0%"],["High Schl","4223","577","4671","9471","55.4%"],["","","","","",""],["LONGFELLOW","2","0","70","72","97.2%"],["MACC","7","1","24","32","78.1%"],["MACC EXT DAY\rMPLS ON LINE LEARNING","32","0","3","35","8.6%"],["","32","1","21","54","40.7%"],["Alt HS","73","2","118","193","62.2%"],["","","","","",""],["ECSE","264","39","252","555","52.4%"],["HARRISON SEC CTR","4","1","24","29","86.2%"],["RIVER BEND ED CNT","6","3","77","86","93.0%"],["TRANSITION PLUS","71","19","179","269","73.6%"],["Spec Ed Total","345","62","532","939","63.3%"],["","","","","",""],["AMERICAN IND OIC","6","2","28","36","83.3%"],["CENTER SCHOOL","5","1","41","47","89.4%"],["CENTER SCHOOL EXT DAY","1","0","0","1","0.0%"],["LORING-NICOLLET","32","3","23","58","44.8%"],["MENLO PARK","20","3","49","72","72.2%"],["MERC","18","6","27","51","64.7%"],["MERC EXT DAY","3","0","4","7","57.1%"],["PLYMOUTH YTH CTR","17","2","81","100","83.0%"],["PLYMOUTH YTH EXT DAY","0","3","14","17","100.0%"],["RON MCDONALD HOUSE","5","","2","7","28.6%"]],[["SCHOOL NAME short","Ineligible","Reduced","Free","Total","% F/R"],["VOA EXT DAY","2","0","11","13","84.6%"],["VOA PHOENIX","17","5","70","92","81.5%"],["Cont Alt Total","126","25","350","501","74.9%"],["","","","","",""],["MPS METRO C","0","","18","18","100.0%"],["MPS METRO R/HA","0","","34","34","100.0%"],["MPS METRO SJ","0","","23","23","100.0%"],["STADIUM VIEW","0","","31","31","100.0%"],["Hospital Sites Total","0","0","106","106","100.0%"],["","","","","",""],["Dist Total","15329","2263","17954","35546","56.9%"]]]
2 |
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/inst/fonts/Cabin.ttf:
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https://raw.githubusercontent.com/data-edu/dataedu/0661a190297f8b092e8574e94e32966175e1ca9a/inst/fonts/Cabin.ttf
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/man/all_files.Rd:
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1 | % Generated by roxygen2: do not edit by hand
2 | % Please edit documentation in R/data.R
3 | \docType{data}
4 | \name{all_files}
5 | \alias{all_files}
6 | \title{Walkthrough 04 - Students with Disabilities Counts - Combined List}
7 | \format{
8 | Dataset of class \code{list}.
9 | }
10 | \source{
11 | US Department of Education \url{https://www2.ed.gov/programs/osepidea/618-data/state-level-data-files/index.html}
12 | }
13 | \usage{
14 | all_files
15 | }
16 | \description{
17 | Walkthrough 04 - List containing students with disabilities
18 | longitudinal enrollment counts from 2012-18
19 | }
20 | \examples{
21 |
22 | str(dataedu::all_files)
23 | }
24 | \keyword{datasets}
25 |
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/man/bchildcountandedenvironments2012.Rd:
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1 | % Generated by roxygen2: do not edit by hand
2 | % Please edit documentation in R/data.R
3 | \docType{data}
4 | \name{bchildcountandedenvironments2012}
5 | \alias{bchildcountandedenvironments2012}
6 | \title{Walkthrough 04 - Students with Disabilities Counts - 2012}
7 | \format{
8 | Dataset of class \code{tibble}.
9 |
10 | Dataset of class \code{tibble}.
11 | }
12 | \source{
13 | US Department of Education \url{https://www2.ed.gov/programs/osepidea/618-data/state-level-data-files/index.html}
14 |
15 | US Department of Education \url{https://www2.ed.gov/programs/osepidea/618-data/state-level-data-files/index.html}
16 | }
17 | \usage{
18 | bchildcountandedenvironments2012
19 |
20 | bchildcountandedenvironments2012
21 | }
22 | \description{
23 | Walkthrough 04 - Dataset containing students with disabilities
24 | longitudinal enrollment counts in 2012
25 |
26 | Walkthrough 04 - Dataset containing students with disabilities
27 | longitudinal enrollment counts in 2012
28 | }
29 | \examples{
30 |
31 | str(dataedu::bchildcountandedenvironments2012)
32 |
33 | str(dataedu::bchildcountandedenvironments2012)
34 | }
35 | \keyword{datasets}
36 |
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/man/bchildcountandedenvironments2013.Rd:
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1 | % Generated by roxygen2: do not edit by hand
2 | % Please edit documentation in R/data.R
3 | \docType{data}
4 | \name{bchildcountandedenvironments2013}
5 | \alias{bchildcountandedenvironments2013}
6 | \title{Walkthrough 04 - Students with Disabilities Counts - 2013}
7 | \format{
8 | Dataset of class \code{tibble}.
9 | }
10 | \source{
11 | US Department of Education \url{https://www2.ed.gov/programs/osepidea/618-data/state-level-data-files/index.html}
12 | }
13 | \usage{
14 | bchildcountandedenvironments2013
15 | }
16 | \description{
17 | Walkthrough 04 - Dataset containing students with disabilities
18 | longitudinal enrollment counts in 2013
19 | }
20 | \examples{
21 |
22 | str(dataedu::bchildcountandedenvironments2013)
23 | }
24 | \keyword{datasets}
25 |
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/man/bchildcountandedenvironments2014.Rd:
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1 | % Generated by roxygen2: do not edit by hand
2 | % Please edit documentation in R/data.R
3 | \docType{data}
4 | \name{bchildcountandedenvironments2014}
5 | \alias{bchildcountandedenvironments2014}
6 | \title{Walkthrough 04 - Students with Disabilities Counts - 2014}
7 | \format{
8 | Dataset of class \code{tibble}.
9 | }
10 | \source{
11 | US Department of Education \url{https://www2.ed.gov/programs/osepidea/618-data/state-level-data-files/index.html}
12 | }
13 | \usage{
14 | bchildcountandedenvironments2014
15 | }
16 | \description{
17 | Walkthrough 04 - Dataset containing students with disabilities
18 | longitudinal enrollment counts in 2014
19 | }
20 | \examples{
21 |
22 | str(dataedu::bchildcountandedenvironments2014)
23 | }
24 | \keyword{datasets}
25 |
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/man/bchildcountandedenvironments2015.Rd:
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1 | % Generated by roxygen2: do not edit by hand
2 | % Please edit documentation in R/data.R
3 | \docType{data}
4 | \name{bchildcountandedenvironments2015}
5 | \alias{bchildcountandedenvironments2015}
6 | \title{Walkthrough 04 - Students with Disabilities Counts - 2015}
7 | \format{
8 | Dataset of class \code{tibble}.
9 | }
10 | \source{
11 | US Department of Education \url{https://www2.ed.gov/programs/osepidea/618-data/state-level-data-files/index.html}
12 | }
13 | \usage{
14 | bchildcountandedenvironments2015
15 | }
16 | \description{
17 | Walkthrough 04 - Dataset containing students with disabilities
18 | longitudinal enrollment counts in 2015
19 | }
20 | \examples{
21 |
22 | str(dataedu::bchildcountandedenvironments2015)
23 | }
24 | \keyword{datasets}
25 |
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/man/bchildcountandedenvironments2016.Rd:
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1 | % Generated by roxygen2: do not edit by hand
2 | % Please edit documentation in R/data.R
3 | \docType{data}
4 | \name{bchildcountandedenvironments2016}
5 | \alias{bchildcountandedenvironments2016}
6 | \title{Walkthrough 04 - Students with Disabilities Counts - 2016}
7 | \format{
8 | Dataset of class \code{tibble}.
9 | }
10 | \source{
11 | US Department of Education \url{https://www2.ed.gov/programs/osepidea/618-data/state-level-data-files/index.html}
12 | }
13 | \usage{
14 | bchildcountandedenvironments2016
15 | }
16 | \description{
17 | Walkthrough 04 - Dataset containing students with disabilities
18 | longitudinal enrollment counts in 2016
19 | }
20 | \examples{
21 |
22 | str(dataedu::bchildcountandedenvironments2016)
23 | }
24 | \keyword{datasets}
25 |
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/man/bchildcountandedenvironments2017_18.Rd:
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1 | % Generated by roxygen2: do not edit by hand
2 | % Please edit documentation in R/data.R
3 | \docType{data}
4 | \name{bchildcountandedenvironments2017_18}
5 | \alias{bchildcountandedenvironments2017_18}
6 | \title{Walkthrough 04 - Students with Disabilities Counts - 2017-18}
7 | \format{
8 | Dataset of class \code{tibble}.
9 | }
10 | \source{
11 | US Department of Education \url{https://www2.ed.gov/programs/osepidea/618-data/state-level-data-files/index.html}
12 | }
13 | \usage{
14 | bchildcountandedenvironments2017_18
15 | }
16 | \description{
17 | Walkthrough 04 - Dataset containing students with disabilities
18 | longitudinal enrollment counts in 2017-18
19 | }
20 | \examples{
21 |
22 | str(dataedu::bchildcountandedenvironments2017_18)
23 | }
24 | \keyword{datasets}
25 |
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/man/cabinproto.Rd:
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1 | % Generated by roxygen2: do not edit by hand
2 | % Please edit documentation in R/font_dataedu.R
3 | \docType{data}
4 | \name{cabinproto}
5 | \alias{cabinproto}
6 | \title{Font for Data Science in Education}
7 | \format{
8 | An object of class \code{proto} (inherits from \code{environment}) of length 5.
9 | }
10 | \usage{
11 | cabinproto
12 | }
13 | \description{
14 | Font for Data Science in Education
15 | }
16 | \keyword{datasets}
17 |
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/man/child_counts.Rd:
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1 | % Generated by roxygen2: do not edit by hand
2 | % Please edit documentation in R/data.R
3 | \docType{data}
4 | \name{child_counts}
5 | \alias{child_counts}
6 | \title{Walkthrough 04 - Students with Disabilities Counts - Combined Data Frame}
7 | \format{
8 | Dataset of class \code{tibble}.
9 | }
10 | \source{
11 | US Department of Education \url{https://www2.ed.gov/programs/osepidea/618-data/state-level-data-files/index.html}
12 | }
13 | \usage{
14 | child_counts
15 | }
16 | \description{
17 | Walkthrough 04 - Combined data frame containing students with disabilities
18 | longitudinal enrollment counts from 2012-18
19 | }
20 | \examples{
21 |
22 | str(dataedu::child_counts)
23 | }
24 | \keyword{datasets}
25 |
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/man/course_data.Rd:
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1 | % Generated by roxygen2: do not edit by hand
2 | % Please edit documentation in R/data.R
3 | \docType{data}
4 | \name{course_data}
5 | \alias{course_data}
6 | \title{Walkthrough 01 - Course Data}
7 | \format{
8 | Dataset of class \code{tibble}.
9 | }
10 | \source{
11 | John Ranellucci and Joshua Rosenberg
12 | }
13 | \usage{
14 | course_data
15 | }
16 | \description{
17 | Dataset on points earned out of points possible
18 | on more than 29,000 class assignments
19 | }
20 | \examples{
21 |
22 | str(dataedu::course_data)
23 | }
24 | \keyword{datasets}
25 |
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/man/course_minutes.Rd:
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1 | % Generated by roxygen2: do not edit by hand
2 | % Please edit documentation in R/data.R
3 | \docType{data}
4 | \name{course_minutes}
5 | \alias{course_minutes}
6 | \title{Walkthrough 01 - Course Minutes}
7 | \format{
8 | Dataset of class \code{tibble}.
9 | }
10 | \source{
11 | John Ranellucci and Joshua Rosenberg
12 | }
13 | \usage{
14 | course_minutes
15 | }
16 | \description{
17 | Walkthrough 01 - Dataset on log-trace data from the number of minutes
18 | students spend on the course learning management system
19 | for online science courses
20 | }
21 | \examples{
22 |
23 | str(dataedu::course_minutes)
24 | }
25 | \keyword{datasets}
26 |
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/man/dataedu-package.Rd:
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1 | % Generated by roxygen2: do not edit by hand
2 | % Please edit documentation in R/dataedu-package.R
3 | \docType{package}
4 | \name{dataedu-package}
5 | \alias{dataedu}
6 | \alias{dataedu-package}
7 | \title{dataedu: Package for Data Science in Education Using R}
8 | \description{
9 | \if{html}{\figure{logo.png}{options: style='float: right' alt='logo' width='120'}}
10 |
11 | Provide readers of Data Science in Education Using R with a package containing useful functions, data, and references from the book.
12 | }
13 | \seealso{
14 | Useful links:
15 | \itemize{
16 | \item \url{https://github.com/data-edu/dataedu}
17 | \item Report bugs at \url{https://github.com/data-edu/dataedu/issues}
18 | }
19 |
20 | }
21 | \author{
22 | \strong{Maintainer}: Isabella Velásquez \email{ivelasq@gmail.com}
23 |
24 | Authors:
25 | \itemize{
26 | \item Ryan Estrellado \email{ryan.estrellado@gmail.com}
27 | \item Emily Bovee \email{emily.a.bovee@gmail.com}
28 | \item Jesse Mostipak \email{jesse.maegan@gmail.com}
29 | \item Joshua Rosenberg \email{jmichaelrosenberg@gmail.com}
30 | }
31 |
32 | }
33 | \keyword{internal}
34 |
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/man/dataedu_colors.Rd:
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1 | % Generated by roxygen2: do not edit by hand
2 | % Please edit documentation in R/palette_dataedu.R
3 | \name{dataedu_colors}
4 | \alias{dataedu_colors}
5 | \title{Extract dataedu colors as hex codes}
6 | \usage{
7 | dataedu_colors(...)
8 | }
9 | \arguments{
10 | \item{...}{Character names of dataedu_palette}
11 | }
12 | \description{
13 | Extract dataedu colors as hex codes
14 | }
15 |
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/man/dataedu_packages.Rd:
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1 | % Generated by roxygen2: do not edit by hand
2 | % Please edit documentation in R/data.R
3 | \docType{data}
4 | \name{dataedu_packages}
5 | \alias{dataedu_packages}
6 | \title{All packages used in Data Science in Education Using R}
7 | \format{
8 | A character vector
9 | }
10 | \usage{
11 | dataedu_packages
12 | }
13 | \description{
14 | All packages used in Data Science in Education Using R
15 | }
16 | \keyword{datasets}
17 |
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/man/dataedu_pal.Rd:
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1 | % Generated by roxygen2: do not edit by hand
2 | % Please edit documentation in R/palette_dataedu.R
3 | \name{dataedu_pal}
4 | \alias{dataedu_pal}
5 | \title{Interpolate a dataedu color palette}
6 | \usage{
7 | dataedu_pal(palette = "main", reverse = FALSE, ...)
8 | }
9 | \arguments{
10 | \item{palette}{Character name of palette in dataedu_palettes}
11 |
12 | \item{reverse}{Boolean indicating whether the palette should be reversed}
13 |
14 | \item{...}{Additional arguments to pass to colorRampPalette()}
15 | }
16 | \description{
17 | Interpolate a dataedu color palette
18 | }
19 |
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/man/dataedu_palette.Rd:
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1 | % Generated by roxygen2: do not edit by hand
2 | % Please edit documentation in R/palette_dataedu.R
3 | \docType{data}
4 | \name{dataedu_palette}
5 | \alias{dataedu_palette}
6 | \title{Color palette for Data Science in Education}
7 | \format{
8 | An object of class \code{character} of length 6.
9 | }
10 | \usage{
11 | dataedu_palette
12 | }
13 | \description{
14 | Color palette for Data Science in Education
15 | }
16 | \keyword{datasets}
17 |
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/man/district_merged_df.Rd:
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1 | % Generated by roxygen2: do not edit by hand
2 | % Please edit documentation in R/data.R
3 | \docType{data}
4 | \name{district_merged_df}
5 | \alias{district_merged_df}
6 | \title{Walkthrough 03 - Merged Ethnicity and FRPL District Data}
7 | \format{
8 | Dataset of class \code{tibble}.
9 | }
10 | \source{
11 | Minneapolis Public Schools \url{https://mpls.k12.mn.us/}
12 | }
13 | \usage{
14 | district_merged_df
15 | }
16 | \description{
17 | Walkthrough 03 - Dataset with processed district data with
18 | both FRPL and ethnicity data
19 | }
20 | \examples{
21 |
22 | str(dataedu::district_merged_df)
23 | }
24 | \keyword{datasets}
25 |
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/man/district_tidy_df.Rd:
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1 | % Generated by roxygen2: do not edit by hand
2 | % Please edit documentation in R/data.R
3 | \docType{data}
4 | \name{district_tidy_df}
5 | \alias{district_tidy_df}
6 | \title{Walkthrough 03 - Merged and Tidy Ethnicity and FRPL District Data}
7 | \format{
8 | Dataset of class \code{tibble}.
9 | }
10 | \source{
11 | Minneapolis Public Schools \url{https://mpls.k12.mn.us/}
12 | }
13 | \usage{
14 | district_tidy_df
15 | }
16 | \description{
17 | Walkthrough 03 - Dataset with processed district data with
18 | both FRPL and ethnicity data in tidy format
19 | }
20 | \examples{
21 |
22 | str(dataedu::district_tidy_df)
23 | }
24 | \keyword{datasets}
25 |
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/man/figures/README-unnamed-chunk-5-1.png:
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https://raw.githubusercontent.com/data-edu/dataedu/0661a190297f8b092e8574e94e32966175e1ca9a/man/figures/README-unnamed-chunk-5-1.png
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/man/figures/README-unnamed-chunk-6-1.png:
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/man/figures/logo.png:
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https://raw.githubusercontent.com/data-edu/dataedu/0661a190297f8b092e8574e94e32966175e1ca9a/man/figures/logo.png
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/man/frpl_pdf.Rd:
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1 | % Generated by roxygen2: do not edit by hand
2 | % Please edit documentation in R/data.R
3 | \docType{data}
4 | \name{frpl_pdf}
5 | \alias{frpl_pdf}
6 | \title{Walkthrough 03 - Tabulizer Output from FRPL PDF}
7 | \format{
8 | Dataset of class \code{list}.
9 | }
10 | \source{
11 | Minneapolis Public Schools \url{https://mpls.k12.mn.us/}
12 | }
13 | \usage{
14 | frpl_pdf
15 | }
16 | \description{
17 | Walkthrough 03 - RDS file with tabulizer output
18 | from the FRPL PDF.
19 | }
20 | \examples{
21 |
22 | str(dataedu::frpl_pdf)
23 | }
24 | \keyword{datasets}
25 |
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/man/install_dataedu.Rd:
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1 | % Generated by roxygen2: do not edit by hand
2 | % Please edit documentation in R/install_dataedu.R
3 | \name{install_dataedu}
4 | \alias{install_dataedu}
5 | \title{Mass installation of DSIEUR packages}
6 | \usage{
7 | install_dataedu()
8 | }
9 | \description{
10 | \code{install_dataedu()} installs the packages used in DSIEUR
11 | }
12 |
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/man/load.cabin.Rd:
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1 | % Generated by roxygen2: do not edit by hand
2 | % Please edit documentation in R/font_dataedu.R
3 | \name{load.cabin}
4 | \alias{load.cabin}
5 | \title{load.cabin}
6 | \usage{
7 | load.cabin(font = "Cabin.ttf")
8 | }
9 | \arguments{
10 | \item{font}{Cabin}
11 | }
12 | \description{
13 | Load Cabin Font
14 | }
15 |
--------------------------------------------------------------------------------
/man/ma_data_init.Rd:
--------------------------------------------------------------------------------
1 | % Generated by roxygen2: do not edit by hand
2 | % Please edit documentation in R/data.R
3 | \docType{data}
4 | \name{ma_data_init}
5 | \alias{ma_data_init}
6 | \title{Foundational Skills Data}
7 | \format{
8 | Dataset of class \code{tibble}.
9 | }
10 | \usage{
11 | ma_data_init
12 | }
13 | \description{
14 | Dataset on Massachusetts public schools
15 | }
16 | \examples{
17 |
18 | str(dataedu::ma_data_init)
19 | }
20 | \keyword{datasets}
21 |
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/man/oulad_assessments.Rd:
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1 | % Generated by roxygen2: do not edit by hand
2 | % Please edit documentation in R/data.R
3 | \docType{data}
4 | \name{oulad_assessments}
5 | \alias{oulad_assessments}
6 | \title{Walkthrough 08 - Open University Learning Analytics Dataset - Assessment Data}
7 | \format{
8 | Dataset of class \code{tibble}.
9 | }
10 | \source{
11 | Open University Learning Analytics Dataset \url{https://analyse.kmi.open.ac.uk/open-dataset}
12 | }
13 | \usage{
14 | oulad_assessments
15 | }
16 | \description{
17 | Walkthrough 08 - Provides data on students' performance on various assessments
18 | throughout their courses.
19 | }
20 | \examples{
21 |
22 | str(dataedu::oulad_assessments)
23 | }
24 | \keyword{datasets}
25 |
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/man/oulad_interactions_filtered.Rd:
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1 | % Generated by roxygen2: do not edit by hand
2 | % Please edit documentation in R/data.R
3 | \docType{data}
4 | \name{oulad_interactions_filtered}
5 | \alias{oulad_interactions_filtered}
6 | \title{Walkthrough 08 - Open University Learning Analytics Dataset - Virtual Learning Environment}
7 | \format{
8 | Dataset of class \code{tibble}.
9 | }
10 | \source{
11 | Open University Learning Analytics Dataset \url{https://analyse.kmi.open.ac.uk/open-dataset}
12 | }
13 | \usage{
14 | oulad_interactions_filtered
15 | }
16 | \description{
17 | Walkthrough 08 - Virtual learning environment (VLE)
18 | log-trace data.
19 | }
20 | \examples{
21 |
22 | str(dataedu::oulad_interactions_filtered)
23 | }
24 | \keyword{datasets}
25 |
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/man/oulad_students.Rd:
--------------------------------------------------------------------------------
1 | % Generated by roxygen2: do not edit by hand
2 | % Please edit documentation in R/data.R
3 | \docType{data}
4 | \name{oulad_students}
5 | \alias{oulad_students}
6 | \title{Walkthrough 08 - Open University Learning Analytics Dataset - Student Data}
7 | \format{
8 | Dataset of class \code{tibble}.
9 | }
10 | \source{
11 | Open University Learning Analytics Dataset \url{https://analyse.kmi.open.ac.uk/open-dataset}
12 | }
13 | \usage{
14 | oulad_students
15 | }
16 | \description{
17 | Walkthrough 08 - Information from three sources that relate to students and
18 | the courses they took: \code{studentInfo}, \code{courses}, and \code{studentRegistration}.
19 | }
20 | \examples{
21 |
22 | str(dataedu::oulad_students)
23 | }
24 | \keyword{datasets}
25 |
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/man/pre_survey.Rd:
--------------------------------------------------------------------------------
1 | % Generated by roxygen2: do not edit by hand
2 | % Please edit documentation in R/data.R
3 | \docType{data}
4 | \name{pre_survey}
5 | \alias{pre_survey}
6 | \title{Walkthrough 01 - Pre-Survey}
7 | \format{
8 | Dataset of class \code{tibble}.
9 | }
10 | \source{
11 | John Ranellucci and Joshua Rosenberg
12 | }
13 | \usage{
14 | pre_survey
15 | }
16 | \description{
17 | Walkthrough 01 - Dataset on students' motivation administered before
18 | the start of those students' online science courses
19 | }
20 | \examples{
21 |
22 | str(dataedu::pre_survey)
23 | }
24 | \keyword{datasets}
25 |
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/man/race_pdf.Rd:
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1 | % Generated by roxygen2: do not edit by hand
2 | % Please edit documentation in R/data.R
3 | \docType{data}
4 | \name{race_pdf}
5 | \alias{race_pdf}
6 | \title{Walkthrough 03 - Tabulizer Output from Race PDF}
7 | \format{
8 | Dataset of class \code{list}.
9 | }
10 | \source{
11 | Minneapolis Public Schools \url{https://mpls.k12.mn.us/}
12 | }
13 | \usage{
14 | race_pdf
15 | }
16 | \description{
17 | Walkthrough 03 - RDS file with tabulizer output
18 | from the Race PDF.
19 | }
20 | \examples{
21 |
22 | str(dataedu::race_pdf)
23 | }
24 | \keyword{datasets}
25 |
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/man/scale_color_dataedu.Rd:
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1 | % Generated by roxygen2: do not edit by hand
2 | % Please edit documentation in R/palette_dataedu.R
3 | \name{scale_color_dataedu}
4 | \alias{scale_color_dataedu}
5 | \title{Color scale constructor for dataedu colors}
6 | \usage{
7 | scale_color_dataedu(palette = "main", discrete = TRUE, reverse = FALSE, ...)
8 | }
9 | \arguments{
10 | \item{palette}{Character name of palette in dataedu_palettes}
11 |
12 | \item{discrete}{Boolean indicating whether color aesthetic is discrete or not}
13 |
14 | \item{reverse}{Boolean indicating whether the palette should be reversed}
15 |
16 | \item{...}{Additional arguments passed to discrete_scale() or
17 | scale_color_gradientn(), used respectively when discrete is TRUE or FALSE}
18 | }
19 | \description{
20 | Color scale constructor for dataedu colors
21 | }
22 |
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/man/scale_fill_dataedu.Rd:
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1 | % Generated by roxygen2: do not edit by hand
2 | % Please edit documentation in R/palette_dataedu.R
3 | \name{scale_fill_dataedu}
4 | \alias{scale_fill_dataedu}
5 | \title{Fill scale constructor for dataedu colors}
6 | \usage{
7 | scale_fill_dataedu(palette = "main", discrete = TRUE, reverse = FALSE, ...)
8 | }
9 | \arguments{
10 | \item{palette}{Character name of palette in dataedu_palettes}
11 |
12 | \item{discrete}{Boolean indicating whether color aesthetic is discrete or not}
13 |
14 | \item{reverse}{Boolean indicating whether the palette should be reversed}
15 |
16 | \item{...}{Additional arguments passed to discrete_scale() or
17 | scale_fill_gradientn(), used respectively when discrete is TRUE or FALSE}
18 | }
19 | \description{
20 | Fill scale constructor for dataedu colors
21 | }
22 |
--------------------------------------------------------------------------------
/man/sci_mo_processed.Rd:
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1 | % Generated by roxygen2: do not edit by hand
2 | % Please edit documentation in R/data.R
3 | \docType{data}
4 | \name{sci_mo_processed}
5 | \alias{sci_mo_processed}
6 | \title{Walkthrough 01 - Student Motivation (Processed)}
7 | \format{
8 | Dataset of class \code{tibble}.
9 | }
10 | \source{
11 | John Ranellucci and Joshua Rosenberg
12 | }
13 | \usage{
14 | sci_mo_processed
15 | }
16 | \description{
17 | Walkthrough 01 - Processed dataset (for modeling with multi-level models)
18 | from students on their motivation and achievement in
19 | online science classes
20 | }
21 | \examples{
22 |
23 | str(dataedu::sci_mo_processed)
24 | }
25 | \keyword{datasets}
26 |
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/man/sci_mo_with_text.Rd:
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1 | % Generated by roxygen2: do not edit by hand
2 | % Please edit documentation in R/data.R
3 | \docType{data}
4 | \name{sci_mo_with_text}
5 | \alias{sci_mo_with_text}
6 | \title{Walkthrough 01 - Student Motivation (Processed and With Text)}
7 | \format{
8 | Dataset of class \code{tibble}.
9 | }
10 | \source{
11 | John Ranellucci and Joshua Rosenberg
12 | }
13 | \usage{
14 | sci_mo_with_text
15 | }
16 | \description{
17 | Walkthrough 01 - Processed dataset (for modeling with random forests)
18 | from students on their motivation and achievement in
19 | online science classes.
20 | }
21 | \examples{
22 |
23 | str(dataedu::sci_mo_with_text)
24 | }
25 | \keyword{datasets}
26 |
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/man/theme_dataedu.Rd:
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1 | % Generated by roxygen2: do not edit by hand
2 | % Please edit documentation in R/theme_dataedu.R
3 | \name{theme_dataedu}
4 | \alias{theme_dataedu}
5 | \title{ggplot2 theme for Data Science in Education Using R}
6 | \usage{
7 | theme_dataedu()
8 | }
9 | \description{
10 | Apply the 'Data Science in Education Using R' background and font to ggplot2.
11 | }
12 | \details{
13 | The dataedu theme uses the font Cabin.
14 | }
15 |
--------------------------------------------------------------------------------
/man/tt_tweets.Rd:
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1 | % Generated by roxygen2: do not edit by hand
2 | % Please edit documentation in R/data.R
3 | \docType{data}
4 | \name{tt_tweets}
5 | \alias{tt_tweets}
6 | \title{Walkthrough 12 - Tweet Data}
7 | \format{
8 | Dataset of class \code{list}.
9 | }
10 | \source{
11 | Twitter and TidyTuesday \url{https://thomasmock.netlify.com/post/tidytuesday-a-weekly-social-data-project-in-r/}
12 | }
13 | \usage{
14 | tt_tweets
15 | }
16 | \description{
17 | Walkthrough 12 - Tweet dataset gathered from hashtag tidytuesday
18 | }
19 | \examples{
20 |
21 | str(dataedu::tt_tweets)
22 | }
23 | \keyword{datasets}
24 |
--------------------------------------------------------------------------------
/tests/testthat.R:
--------------------------------------------------------------------------------
1 | library(testthat)
2 | library(dataedu)
3 |
4 | test_check("dataedu")
5 |
--------------------------------------------------------------------------------
/tests/testthat/helper-utils.R:
--------------------------------------------------------------------------------
1 | # from https://github.com/jrnold/ggthemes/blob/master/tests/testthat/helper-utils.R
2 |
3 | is_hexcolor <- function(x) {
4 | pattern <- stringr::regex("^#[a-f0-9]{6}$", ignore_case = TRUE)
5 | out <- stringr::str_detect(x, pattern)
6 | out[is.na(out)] <- FALSE
7 | out
8 | }
9 |
10 | expect_hexcolor <- function(object) {
11 | # capture object and label
12 | act <- quasi_label(rlang::enquo(object))
13 |
14 | valid <- is_hexcolor(act$val)
15 | expect(
16 | all(valid),
17 | glue::glue("Not all elements of {act$lab} are hex colors.")
18 | )
19 |
20 | invisible(act$val)
21 | }
22 |
23 | expect_error_free <- function(...) {
24 | expect_error(..., regexp = NA)
25 | }
26 |
--------------------------------------------------------------------------------
/tests/testthat/test-install_dataedu.R:
--------------------------------------------------------------------------------
1 | library(testthat)
2 | library(dataedu)
3 | context("test-install_dataedu.R")
4 |
5 | test_that("install_dataedu() works", {
6 | expect_true("apaTables" %in% rownames(installed.packages()))
7 | })
8 |
--------------------------------------------------------------------------------
/tests/testthat/test-palette_dataedu.R:
--------------------------------------------------------------------------------
1 | library(testthat)
2 | library(dataedu)
3 | context("test-palette_dataedu.R")
4 |
5 | test_that("dataedu_pal() main works", {
6 | p <- dataedu:::dataedu_pal()
7 | expect_is(p, "function")
8 | for (i in 1:6) {
9 | expect_hexcolor(p(i))
10 | }
11 | })
12 |
13 | test_that("dataedu_pal() reverse works", {
14 | p <- dataedu:::dataedu_pal(reverse = TRUE)
15 | expect_is(p, "function")
16 | for (i in 1:6) {
17 | expect_hexcolor(p(i))
18 | }
19 | })
20 |
21 | test_that("scale_color_dataedu() works", {
22 | expect_is(dataedu:::scale_color_dataedu(), "ScaleDiscrete")
23 | })
24 |
25 | test_that("scale_fill_dataedu() works", {
26 | expect_is(dataedu:::scale_fill_dataedu(), "ScaleDiscrete")
27 | })
28 |
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/tests/testthat/test-theme_dataedu.R:
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1 | library(testthat)
2 | library(dataedu)
3 | context("test-theme_dataedu.R")
4 |
5 | test_that("dataedu theme works", {
6 | expect_is(theme_dataedu(), "theme")
7 | })
8 |
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