9 |
10 | An R package of untidy datasets made for the purpose of teaching the
11 | tidyverse.
12 |
13 | Last update: 2021-01-27
14 |
15 | ### Overview
16 |
17 | The purpose of this package is to store untidy datasets I have been
18 | creating for teaching purposes in a version controlled environment. The
19 | datasets vary in difficulty and present different problems common when
20 | tidying data.
21 |
22 | ### Installation
23 |
24 | You can install the development version from GitHub with:
25 |
26 | install.packages("devtools")
27 | devtools::install_github("jvcasillas/untidydata")
28 |
29 | ### Datasets
30 |
31 | - [language\_diversity](#language_diversity)
32 | - [pre\_post](#pre_post)
33 | - [spanish\_vowels](#spanish_vowels)
34 | - [spirantization](#spirantization)
35 | - [vot](#vot)
36 |
37 | #### `language_diversity`
38 |
39 | - Difficulty: easy
40 | - A long format dataset that is most useful in wide format.
41 | - Data taken from Appendix 1 in:
42 | Nettle, D. (1998). Explaining Global Patterns of Language Diversity.
43 | *Journal of Anthropological Archaeology*, 17, 354–374.
44 |
45 | #### `pre_post`
46 |
47 | - Difficulty: easy
48 | - A typical pre-test, post-test data set in wide format.
49 |
50 | #### `spanish_vowels`
51 |
52 | - Difficulty: easy
53 | - Simulated Spanish vowel formant measurements from male and female
54 | speakers.
55 |
56 | #### `spirantization`
57 |
58 | - Difficulty: easy
59 | - Simulated intensity measurements of CV sequences in word initial and
60 | word medial position from L2 learners and native speakers.
61 |
62 | #### `vot`
63 |
64 | - Difficulty: medium
65 | - A voice-onset time data set. Includes coronal stop data from English
66 | and Spanish monolinguals, as well as English/Spanish bilinguals.
67 |
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/_pkgdown.yml:
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/data-raw/create_language_diversity_data.R:
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1 | #~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~#
2 | # Create data for untidydata package to be used to for R tutorials #
3 | # by #
4 | # Joseph V. Casillas (11/29/2016) #
5 | # - Updated 02/16/2018 #
6 | # #
7 | # #
8 | # Data #
9 | # - language_diversity #
10 | # - Data from: #
11 | # Nettle, D. (1998). Explaining Global Patterns of Language Diversity. #
12 | # Journal of Anthropological Archaeology, 17, 354–374. #
13 | # - Variables: #
14 | # - Continent: Character variable of continents #
15 | # - Country: Character variable of countries #
16 | # - Measurement: Character variable of distinct measurements #
17 | # - Value: Double variable of measurement values #
18 | #~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~#
19 |
20 |
21 | library(tidyverse)
22 |
23 | language_diversity <- tribble(
24 | ~"Country", ~"Langs", ~"Area", ~"Population", ~"Stations", ~"MGS", ~"Std", ~"Continent",
25 | "Algeria",18,2381741,25660,102,6.6,2.29,"Africa",
26 | "Angola",42,1246700,10303,50,6.22,1.87,"Africa",
27 | "Australia",234,7713364,17336,134,6,4.17,"Oceania",
28 | "Bangladesh",37,143998,118745,20,7.4,0.73,"Asia",
29 | "Benin",52,112622,4889,7,7.14,0.99,"Africa",
30 | "Bolivia",38,1098581,7612,48,6.92,2.5,"Americas",
31 | "Botswana",27,581730,1348,10,4.6,1.69,"Africa",
32 | "Brazil",209,8511965,153322,245,9.71,5.87,"Americas",
33 | "Burkina Faso",75,274000,9242,6,5.17,1.07,"Africa",
34 | "CAR",94,622984,3127,13,8.08,1.21,"Africa",
35 | "Cambodia",18,181035,8442,9,8.44,0.5,"Asia",
36 | "Cameroon",275,475422,12239,35,9.17,1.75,"Africa",
37 | "Chad",126,1284000,5819,11,4,1.81,"Africa",
38 | "Colombia",79,1138914,33613,35,11.37,1.37,"Americas",
39 | "Congo",60,342000,2346,10,9.6,1.69,"Africa",
40 | "Costa Rica",10,51100,3064,38,8.92,1.78,"Americas",
41 | "Cote d'Ivoire",75,322463,12464,9,8.67,1.25,"Africa",
42 | "Cuba",1,110861,10736,13,7.46,1.55,"Americas",
43 | "Ecuador",22,283561,10851,44,8.14,3.47,"Americas",
44 | "Egypt",11,1001449,54688,50,0.89,0.89,"Africa",
45 | "Ethiopia",112,1221900,53383,36,7.28,3.1,"Africa",
46 | "French Guiana",11,90000,102,5,10.4,0.8,"Americas",
47 | "Gabon",40,267667,1212,14,8.79,0.77,"Africa",
48 | "Ghana",73,238553,15509,28,8.79,1.68,"Africa",
49 | "Guatemala",52,108889,9467,59,9.31,2.23,"Americas",
50 | "Guinea",29,245857,5931,8,7.38,1.22,"Africa",
51 | "Guyana",14,214969,800,5,12,0,"Americas",
52 | "Honduras",9,112088,5265,13,8.54,2.53,"Americas",
53 | "India",405,3287590,849638,218,5.32,1.92,"Asia",
54 | "Indonesia",701,1904569,187765,58,10.67,1.82,"Asia",
55 | "Kenya",58,580367,25905,34,7.26,3.61,"Africa",
56 | "Laos",93,236800,4262,7,7.14,0.35,"Asia",
57 | "Liberia",34,111369,2705,21,10.62,0.84,"Africa",
58 | "Libya",13,1759540,4712,54,2.43,1.6,"Africa",
59 | "Madagascar",4,587041,11493,81,7.33,2.96,"Africa",
60 | "Malawi",14,118484,8556,20,5.8,1.5,"Africa",
61 | "Malaysia",140,329749,18333,63,11.92,0.37,"Asia",
62 | "Mali",31,1240192,9507,17,3.59,1.97,"Africa",
63 | "Mauritania",8,1025520,2036,8,0.75,0.83,"Africa",
64 | "Mexico",243,1958201,87836,272,5.84,2.69,"Americas",
65 | "Mozambique",36,801590,16084,90,6.07,1.39,"Africa",
66 | "Myanmar",105,676578,42561,30,6.93,0.81,"Asia",
67 | "Namibia",21,824292,1837,6,2.5,1.89,"Africa",
68 | "Nepal",102,140797,19605,16,6.39,1.98,"Asia",
69 | "Nicaragua",7,130000,3999,8,8.13,2.15,"Americas",
70 | "Niger",21,1267000,7984,10,2.4,1.28,"Africa",
71 | "Nigeria",427,923768,112163,24,7,2.16,"Africa",
72 | "Oman",8,212457,1559,2,0,0,"Asia",
73 | "Panama",13,75517,2466,5,9.2,0.75,"Americas",
74 | "Papua New Guinea",862,462840,3772,8,10.88,1.96,"Oceania",
75 | "Paraguay",21,406752,4397,16,10.25,2.51,"Americas",
76 | "Peru",91,1285216,21998,40,2.65,4.22,"Americas",
77 | "Phillipines",168,300000,62868,64,10.34,1.92,"Asia",
78 | "Saudi Arabia",8,2149690,14691,10,0.4,0.92,"Asia",
79 | "Senegal",42,196722,7533,12,3.58,1.11,"Africa",
80 | "Sierra Leone",23,71740,4260,23,8.22,0.59,"Africa",
81 | "Solomon Islands",66,28896,3301,1,12,0,"Oceania",
82 | "Somalia",14,637657,7691,28,3,1.69,"Africa",
83 | "South Africa",32,1221037,36070,114,6.05,3.5,"Africa",
84 | "Sri Lanka",7,65610,17240,17,9.59,2.59,"Asia",
85 | "Sudan",134,2505813,25941,43,4.02,2.82,"Africa",
86 | "Suriname",17,163265,429,2,12,0,"Americas",
87 | "Tanzania",131,945087,28359,45,7.02,1.9,"Africa",
88 | "Thailand",82,513115,56293,54,8.04,1.57,"Asia",
89 | "Togo",43,56785,3643,11,7.91,1.78,"Africa",
90 | "UAE",9,83600,1629,6,0.83,0.69,"Asia",
91 | "Uganda",43,235880,19517,21,10.14,1.17,"Africa",
92 | "Vanuatu",111,12189,163,4,12,0,"Oceania",
93 | "Venezuela",40,912050,20226,44,7.98,2.73,"Americas",
94 | "Vietnam",88,331689,68183,40,8.8,1.59,"Asia",
95 | "Yemen",6,527968,12302,2,0,0,"Asia",
96 | "Zaire",219,2344858,36672,16,9.44,1.9,"Africa",
97 | "Zambia",38,752618,8780,30,5.43,0.67,"Africa",
98 | "Zimbabwe",18,390759,10019,52,5.29,1.43,"Africa") %>%
99 | gather(., Measurement, Value, -Country, -Continent) %>%
100 | select(., Continent, Country, Measurement, Value)
101 |
102 | devtools::use_data(language_diversity, overwrite = TRUE)
103 |
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/data-raw/create_pre_post_data.R:
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1 | #~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~#
2 | # Create data for untidydata package to be used to for R tutorials #
3 | # by #
4 | # Joseph V. Casillas (11/29/2016) #
5 | # - Updated 02/16/2018 #
6 | # #
7 | # #
8 | # Data #
9 | # - pre_post #
10 | # - a data frame with pre- and post- test scores data from spanish and #
11 | # catalan speakers #
12 | # - variables #
13 | # - id: FACTOR, subject id #
14 | # - spec: FACTOR, g1_lo/g1_hi/g2_lo/g2_hi #
15 | # - test1: NUMERIC, percent #
16 | # - test2: NUMERIC, percent #
17 | # #
18 | #~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~#
19 |
20 | library(tidyverse)
21 |
22 | pre_post <- tribble(
23 | ~'id', ~'spec', ~'test1', ~'test2',
24 | 'span01', 'g1_lo', 64.31, 69.2,
25 | 'span02', 'g1_lo', 59.81, 63.7,
26 | 'span03', 'g1_hi', 66.08, 70.9,
27 | 'span04', 'g1_hi', 72.78, 79.2,
28 | 'span05', 'g2_lo', 68.29, 75.4,
29 | 'span06', 'g2_lo', 69.22, 76.7,
30 | 'span07', 'g2_hi', 71.36, 77.2,
31 | 'span08', 'g2_hi', 80.37, 88.9,
32 | 'cata01', 'g1_lo', 75.63, 83.6,
33 | 'cata02', 'g1_lo', 71.25, 78.8,
34 | 'cata03', 'g1_hi', 69.09, 74.6,
35 | 'cata04', 'g1_hi', 72.35, 80.7,
36 | 'cata05', 'g2_lo', 71.66, 77.9,
37 | 'cata06', 'g2_lo', 69.01, 75.0,
38 | 'cata07', 'g2_hi', 69.86, 76.0,
39 | 'cata08', 'g2_hi', 77.34, 85.6
40 | )
41 |
42 | devtools::use_data(pre_post, overwrite = TRUE)
43 |
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/data-raw/create_spirantization_data.R:
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1 | #~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~#
2 | # Create data for untidydata package to be used to for R tutorials #
3 | # by #
4 | # Joseph V. Casillas (11/29/2016) #
5 | # - Updated 02/16/2018 #
6 | # #
7 | # #
8 | # Data #
9 | # - spriantization #
10 | # - Variables: #
11 | # - Continent: Character variable of continents #
12 | # - Country: Character variable of countries #
13 | # - Measurement: Character variable of distinct measurements #
14 | # - Value: Double variable of measurement values #
15 | #~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~#
16 |
17 | library(tidyverse)
18 |
19 | # First we set the seed for reproducibility
20 | set.seed(1)
21 |
22 | # Create labels and set up constants
23 | n <- 15
24 |
25 | temp <- expand.grid(id = c(sprintf("beg_%02d", 1:n),
26 | sprintf("adv_%02d", 1:n),
27 | sprintf("nat_%02d", 1:n)),
28 | position = c("initial", "vcv"))
29 |
30 | # Generate intensity values for consonant and following vowel
31 | cIntensity = c(rnorm(n = n, mean = 60, sd = 2), # beg in initial position
32 | rnorm(n = n, mean = 60, sd = 2), # adv in initial position
33 | rnorm(n = n, mean = 60, sd = 2), # nat in initial position
34 | rnorm(n = n, mean = 60, sd = 2), # beg in vcv position
35 | rnorm(n = n, mean = 64, sd = 2), # adv in vcv position
36 | rnorm(n = n, mean = 70, sd = 2)) # nat in vcv position
37 |
38 | vIntensity = c(rnorm(n = n, mean = 80, sd = 2), # adv in initial position
39 | rnorm(n = n, mean = 80, sd = 2), # adv in vcv position
40 | rnorm(n = n, mean = 80, sd = 2), # beg in initial position
41 | rnorm(n = n, mean = 80, sd = 2), # beg in vcv position
42 | rnorm(n = n, mean = 80, sd = 2), # nat in initial position
43 | rnorm(n = n, mean = 80, sd = 2)) # nat in vcv position
44 |
45 | temp$cIntensity <- cIntensity
46 | temp$vIntensity <- vIntensity
47 |
48 | spirantization <- temp
49 |
50 | devtools::use_data(spirantization, overwrite = TRUE)
51 |
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/data-raw/create_vot_data.R:
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1 | #~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~#
2 | # Create data for untidydata package to be used to for R tutorials #
3 | # by #
4 | # Joseph V. Casillas (11/29/2016) #
5 | # - Updated 02/16/2018 #
6 | # - Updated 03/04/2020: fix "repetition" typo #
7 | # #
8 | # #
9 | # Data #
10 | # - vot #
11 | # - a data frame with voice onset time data from bilinguals and #
12 | # monolinguals #
13 | # - data simulated in English and Spanish for coronal stops #
14 | # - variables #
15 | # - participant: FACTOR, subject id #
16 | # - language: FACTOR, spanish, english #
17 | # - item: FACTOR, word label #
18 | # - repetition: NUMERIC, 1-3 #
19 | # - vot: NUMERIC, in ms #
20 | # #
21 | #~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~#
22 |
23 | library(tidyverse)
24 |
25 |
26 | #######
27 | # VOT #
28 | #######
29 |
30 | # Create participant IDs
31 | monoSp <- paste0('monoSp0', 0:9)
32 | monoEn <- paste0('monoEn0', 0:9)
33 | bi <- paste0('biling0', 0:9)
34 |
35 | # Create participant vector
36 | participant <- c(monoSp, monoEn, bi)
37 |
38 | # Create language factor
39 | language <- c('spanish', 'english')
40 |
41 | # Create item vector
42 | itemEn <- c('dig', 'dog', 'dug', 'tag', 'tug', 'tog')
43 | itemSp <- c('di', 'da', 'de', 'ti', 'te', 'tu')
44 |
45 | # Create repition
46 | repetition <- 3
47 |
48 |
49 |
50 | # create monoSp dataframe
51 | dfMonoSp <- tibble(
52 |
53 | # create 'participant', 'language' and 'item' variables
54 | participant = sort(rep(monoSp, times = length(itemEn) * repetition)),
55 | language = rep(language[1], times = length(itemSp) * repetition * length(monoSp)),
56 | item = rep(itemSp, each = 1, times = repetition * length(monoSp))) %>%
57 |
58 | # Add repetition variable
59 | group_by(participant, item) %>%
60 | mutate(., repetition = seq_along(item)) %>%
61 |
62 | # Arrange items in alphabetical order
63 | arrange(., item) %>%
64 | ungroup(.) %>%
65 |
66 | # Add VOT values
67 | mutate(., vot = c(rnorm(n = 90, mean = -60, sd = 10),
68 | rnorm(n = 90, mean = 12, sd = 7)) %>% round(., 2)) %>%
69 |
70 | # arrange by participant
71 | arrange(., participant)
72 |
73 |
74 |
75 |
76 |
77 |
78 | # create monoEn data
79 | dfMonoEn <- tibble(
80 |
81 | # create 'participant', 'language' and 'item' variables
82 | participant = sort(rep(monoEn, times = length(itemEn) * repetition)),
83 | language = rep(language[2], times = length(itemEn) * repetition * length(monoEn)),
84 | item = rep(itemEn, each = 1, times = repetition * length(monoEn))) %>%
85 |
86 | # Add repetition variable
87 | group_by(participant, item) %>%
88 | mutate(., repetition = seq_along(item)) %>%
89 |
90 | # Arrange items in alphabetical order
91 | arrange(., item) %>%
92 | ungroup(.) %>%
93 |
94 | # Add VOT values
95 | mutate(., vot = c(rnorm(n = 90, mean = 15, sd = 7),
96 | rnorm(n = 90, mean = 55, sd = 10)) %>% round(., 2)) %>%
97 |
98 | # arrange by participant
99 | arrange(., participant)
100 |
101 |
102 |
103 |
104 |
105 |
106 |
107 | # create bi data
108 | dfbi <- tibble(
109 |
110 |
111 | participant = rep(bi, each = length(itemSp) * repetition, times = length(language)),
112 | language = sort(rep(language, times = length(bi) * length(itemSp) * repetition)),
113 | item = c(rep(itemEn, each = 1, times = repetition * length(bi)),
114 | rep(itemSp, each = 1, times = repetition * length(bi)))) %>%
115 |
116 | # Add repition variable
117 | group_by(., participant, language, item) %>%
118 | mutate(., repetition = seq_along(item)) %>%
119 |
120 | # Arrange df so that items are in alphabetical order
121 | arrange(., language, item) %>%
122 | ungroup(.) %>%
123 |
124 | # Add vals to data frame
125 | mutate(., vot = c(rnorm(n = 90, mean = 15, sd = 7),
126 | rnorm(n = 90, mean = 45, sd = 15),
127 | rnorm(n = 90, mean = -60, sd = 10),
128 | rnorm(n = 90, mean = 10, sd = 10)) %>% round(., 2)) %>%
129 |
130 | # arrange by participant
131 | arrange(., participant, language)
132 |
133 |
134 | vot <- bind_rows(dfMonoSp, dfMonoEn, dfbi)
135 |
136 | usethis::use_data(vot, overwrite = TRUE)
137 |
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/data-raw/create_vowel_data.R:
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1 | #~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~#
2 | # Create data for untidydata package to be used to for R tutorials #
3 | # by #
4 | # Joseph V. Casillas (11/29/2016) #
5 | # - Updated 02/16/2018 #
6 | # #
7 | # #
8 | # Data # #
9 | # - vowel_data # #
10 | # - Vowel data frame based on data from Bradlow (1995) #
11 | # - Extended from 4 participants to 50 #
12 | # - variables #
13 | # - label #
14 | # - rep #
15 | # - f1 #
16 | # - f2 #
17 | # #
18 | #~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~#
19 |
20 | library(tidyverse)
21 |
22 | ##############
23 | # VOWEL DATA #
24 | ##############
25 |
26 | # Vowel data frame based on data from Bradlow (1995)
27 | # Extended from 4 participants to 50
28 |
29 | # Vowel data frame
30 | set.seed(1)
31 | f1 <- c(
32 | rnorm(n = 75, mean = 638, sd = 36), # male a
33 | rnorm(n = 75, mean = 738, sd = 36), # female a
34 | rnorm(n = 75, mean = 458, sd = 42), # male e
35 | rnorm(n = 75, mean = 558, sd = 42), # female e
36 | rnorm(n = 75, mean = 286, sd = 26), # male i
37 | rnorm(n = 75, mean = 386, sd = 26), # female i
38 | rnorm(n = 75, mean = 460, sd = 19), # male o
39 | rnorm(n = 75, mean = 560, sd = 19), # female o
40 | rnorm(n = 75, mean = 322, sd = 20), # male u
41 | rnorm(n = 75, mean = 422, sd = 20) # female u
42 | )
43 |
44 | f2 <- c(
45 | rnorm(n = 75, mean = 1353, sd = 84), # male a
46 | rnorm(n = 75, mean = 1653, sd = 84), # female a
47 | rnorm(n = 75, mean = 1814, sd = 131), # male e
48 | rnorm(n = 75, mean = 2114, sd = 131), # female e
49 | rnorm(n = 75, mean = 2147, sd = 131), # male i
50 | rnorm(n = 75, mean = 2447, sd = 131), # female i
51 | rnorm(n = 75, mean = 1019, sd = 99), # male o
52 | rnorm(n = 75, mean = 1319, sd = 99), # female o
53 | rnorm(n = 75, mean = 992, sd = 121), # male u
54 | rnorm(n = 75, mean = 1292, sd = 121) # female u
55 | )
56 |
57 | # Create vector of 5 vowels, repeat x3 for each participant
58 | vowel <- rep(c('i', 'e', 'a', 'o', 'u'), each = 150)
59 |
60 | # Create data frame
61 | vowels_df <- data.frame(vowel)
62 |
63 | # Add gender factor
64 | vowels_df$gender <- rep(c('male', 'female'), each = 75, 5)
65 |
66 | # Create vector of 50 participants
67 | participant <- rep(sprintf("p%02d", 1:50), each = 3, times = 5)
68 |
69 | spanish_vowels <- vowels_df %>%
70 | arrange(., vowel, desc(gender)) %>%
71 | mutate(., participant = participant,
72 | f1 = f1,
73 | f2 = f2) %>%
74 | arrange(., participant, vowel) %>%
75 | group_by(., participant, vowel) %>%
76 | mutate(., rep = seq_along(vowel)) %>%
77 | select(., participant, gender, vowel, rep, f1, f2) %>%
78 | ungroup(.) %>%
79 | unite(., vowel, gender, vowel, sep = "-") %>%
80 | unite(., label, participant, vowel, sep = "-")
81 |
82 | devtools::use_data(spanish_vowels, overwrite = TRUE)
83 |
84 |
85 |
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111 |GNU GENERAL PUBLIC LICENSE 114 | Version 3, 29 June 2007 115 | 116 | Copyright (C) 2007 Free Software Foundation, Inc. <http://fsf.org/> 117 | Everyone is permitted to copy and distribute verbatim copies 118 | of this license document, but changing it is not allowed. 119 | 120 | Preamble 121 | 122 | The GNU General Public License is a free, copyleft license for 123 | software and other kinds of works. 124 | 125 | The licenses for most software and other practical works are designed 126 | to take away your freedom to share and change the works. By contrast, 127 | the GNU General Public License is intended to guarantee your freedom to 128 | share and change all versions of a program--to make sure it remains free 129 | software for all its users. We, the Free Software Foundation, use the 130 | GNU General Public License for most of our software; it applies also to 131 | any other work released this way by its authors. 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Interpretation of Sections 15 and 16. 725 | 726 | If the disclaimer of warranty and limitation of liability provided 727 | above cannot be given local legal effect according to their terms, 728 | reviewing courts shall apply local law that most closely approximates 729 | an absolute waiver of all civil liability in connection with the 730 | Program, unless a warranty or assumption of liability accompanies a 731 | copy of the Program in return for a fee. 732 | 733 | END OF TERMS AND CONDITIONS 734 | 735 | How to Apply These Terms to Your New Programs 736 | 737 | If you develop a new program, and you want it to be of the greatest 738 | possible use to the public, the best way to achieve this is to make it 739 | free software which everyone can redistribute and change under these terms. 740 | 741 | To do so, attach the following notices to the program. It is safest 742 | to attach them to the start of each source file to most effectively 743 | state the exclusion of warranty; and each file should have at least 744 | the "copyright" line and a pointer to where the full notice is found. 745 | 746 | <one line to give the program's name and a brief idea of what it does.> 747 | Copyright (C) <year> <name of author> 748 | 749 | This program is free software: you can redistribute it and/or modify 750 | it under the terms of the GNU General Public License as published by 751 | the Free Software Foundation, either version 3 of the License, or 752 | (at your option) any later version. 753 | 754 | This program is distributed in the hope that it will be useful, 755 | but WITHOUT ANY WARRANTY; without even the implied warranty of 756 | MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 757 | GNU General Public License for more details. 758 | 759 | You should have received a copy of the GNU General Public License 760 | along with this program. If not, see <http://www.gnu.org/licenses/>. 761 | 762 | Also add information on how to contact you by electronic and paper mail. 763 | 764 | If the program does terminal interaction, make it output a short 765 | notice like this when it starts in an interactive mode: 766 | 767 | <program> Copyright (C) <year> <name of author> 768 | This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'. 769 | This is free software, and you are welcome to redistribute it 770 | under certain conditions; type `show c' for details. 771 | 772 | The hypothetical commands `show w' and `show c' should show the appropriate 773 | parts of the General Public License. Of course, your program's commands 774 | might be different; for a GUI interface, you would use an "about box". 775 | 776 | You should also get your employer (if you work as a programmer) or school, 777 | if any, to sign a "copyright disclaimer" for the program, if necessary. 778 | For more information on this, and how to apply and follow the GNU GPL, see 779 | <http://www.gnu.org/licenses/>. 780 | 781 | The GNU General Public License does not permit incorporating your program 782 | into proprietary programs. If your program is a subroutine library, you 783 | may consider it more useful to permit linking proprietary applications with 784 | the library. If this is what you want to do, use the GNU Lesser General 785 | Public License instead of this License. But first, please read 786 | <http://www.gnu.org/philosophy/why-not-lgpl.html>. 787 |788 | 789 |
`, then ``, etc.) that has more than one element. Defaults to 1 (for ``).
76 | getTopLevel: function($scope) {
77 | for (var i = 1; i <= 6; i++) {
78 | var $headings = this.findOrFilter($scope, 'h' + i);
79 | if ($headings.length > 1) {
80 | return i;
81 | }
82 | }
83 |
84 | return 1;
85 | },
86 |
87 | // returns the elements for the top level, and the next below it
88 | getHeadings: function($scope, topLevel) {
89 | var topSelector = 'h' + topLevel;
90 |
91 | var secondaryLevel = topLevel + 1;
92 | var secondarySelector = 'h' + secondaryLevel;
93 |
94 | return this.findOrFilter($scope, topSelector + ',' + secondarySelector);
95 | },
96 |
97 | getNavLevel: function(el) {
98 | return parseInt(el.tagName.charAt(1), 10);
99 | },
100 |
101 | populateNav: function($topContext, topLevel, $headings) {
102 | var $context = $topContext;
103 | var $prevNav;
104 |
105 | var helpers = this;
106 | $headings.each(function(i, el) {
107 | var $newNav = helpers.generateNavItem(el);
108 | var navLevel = helpers.getNavLevel(el);
109 |
110 | // determine the proper $context
111 | if (navLevel === topLevel) {
112 | // use top level
113 | $context = $topContext;
114 | } else if ($prevNav && $context === $topContext) {
115 | // create a new level of the tree and switch to it
116 | $context = helpers.createChildNavList($prevNav);
117 | } // else use the current $context
118 |
119 | $context.append($newNav);
120 |
121 | $prevNav = $newNav;
122 | });
123 | },
124 |
125 | parseOps: function(arg) {
126 | var opts;
127 | if (arg.jquery) {
128 | opts = {
129 | $nav: arg
130 | };
131 | } else {
132 | opts = arg;
133 | }
134 | opts.$scope = opts.$scope || $(document.body);
135 | return opts;
136 | }
137 | },
138 |
139 | // accepts a jQuery object, or an options object
140 | init: function(opts) {
141 | opts = this.helpers.parseOps(opts);
142 |
143 | // ensure that the data attribute is in place for styling
144 | opts.$nav.attr('data-toggle', 'toc');
145 |
146 | var $topContext = this.helpers.createChildNavList(opts.$nav);
147 | var topLevel = this.helpers.getTopLevel(opts.$scope);
148 | var $headings = this.helpers.getHeadings(opts.$scope, topLevel);
149 | this.helpers.populateNav($topContext, topLevel, $headings);
150 | }
151 | };
152 |
153 | $(function() {
154 | $('nav[data-toggle="toc"]').each(function(i, el) {
155 | var $nav = $(el);
156 | Toc.init($nav);
157 | });
158 | });
159 | })();
160 |
--------------------------------------------------------------------------------
/docs/docsearch.css:
--------------------------------------------------------------------------------
1 | /* Docsearch -------------------------------------------------------------- */
2 | /*
3 | Source: https://github.com/algolia/docsearch/
4 | License: MIT
5 | */
6 |
7 | .algolia-autocomplete {
8 | display: block;
9 | -webkit-box-flex: 1;
10 | -ms-flex: 1;
11 | flex: 1
12 | }
13 |
14 | .algolia-autocomplete .ds-dropdown-menu {
15 | width: 100%;
16 | min-width: none;
17 | max-width: none;
18 | padding: .75rem 0;
19 | background-color: #fff;
20 | background-clip: padding-box;
21 | border: 1px solid rgba(0, 0, 0, .1);
22 | box-shadow: 0 .5rem 1rem rgba(0, 0, 0, .175);
23 | }
24 |
25 | @media (min-width:768px) {
26 | .algolia-autocomplete .ds-dropdown-menu {
27 | width: 175%
28 | }
29 | }
30 |
31 | .algolia-autocomplete .ds-dropdown-menu::before {
32 | display: none
33 | }
34 |
35 | .algolia-autocomplete .ds-dropdown-menu [class^=ds-dataset-] {
36 | padding: 0;
37 | background-color: rgb(255,255,255);
38 | border: 0;
39 | max-height: 80vh;
40 | }
41 |
42 | .algolia-autocomplete .ds-dropdown-menu .ds-suggestions {
43 | margin-top: 0
44 | }
45 |
46 | .algolia-autocomplete .algolia-docsearch-suggestion {
47 | padding: 0;
48 | overflow: visible
49 | }
50 |
51 | .algolia-autocomplete .algolia-docsearch-suggestion--category-header {
52 | padding: .125rem 1rem;
53 | margin-top: 0;
54 | font-size: 1.3em;
55 | font-weight: 500;
56 | color: #00008B;
57 | border-bottom: 0
58 | }
59 |
60 | .algolia-autocomplete .algolia-docsearch-suggestion--wrapper {
61 | float: none;
62 | padding-top: 0
63 | }
64 |
65 | .algolia-autocomplete .algolia-docsearch-suggestion--subcategory-column {
66 | float: none;
67 | width: auto;
68 | padding: 0;
69 | text-align: left
70 | }
71 |
72 | .algolia-autocomplete .algolia-docsearch-suggestion--content {
73 | float: none;
74 | width: auto;
75 | padding: 0
76 | }
77 |
78 | .algolia-autocomplete .algolia-docsearch-suggestion--content::before {
79 | display: none
80 | }
81 |
82 | .algolia-autocomplete .ds-suggestion:not(:first-child) .algolia-docsearch-suggestion--category-header {
83 | padding-top: .75rem;
84 | margin-top: .75rem;
85 | border-top: 1px solid rgba(0, 0, 0, .1)
86 | }
87 |
88 | .algolia-autocomplete .ds-suggestion .algolia-docsearch-suggestion--subcategory-column {
89 | display: block;
90 | padding: .1rem 1rem;
91 | margin-bottom: 0.1;
92 | font-size: 1.0em;
93 | font-weight: 400
94 | /* display: none */
95 | }
96 |
97 | .algolia-autocomplete .algolia-docsearch-suggestion--title {
98 | display: block;
99 | padding: .25rem 1rem;
100 | margin-bottom: 0;
101 | font-size: 0.9em;
102 | font-weight: 400
103 | }
104 |
105 | .algolia-autocomplete .algolia-docsearch-suggestion--text {
106 | padding: 0 1rem .5rem;
107 | margin-top: -.25rem;
108 | font-size: 0.8em;
109 | font-weight: 400;
110 | line-height: 1.25
111 | }
112 |
113 | .algolia-autocomplete .algolia-docsearch-footer {
114 | width: 110px;
115 | height: 20px;
116 | z-index: 3;
117 | margin-top: 10.66667px;
118 | float: right;
119 | font-size: 0;
120 | line-height: 0;
121 | }
122 |
123 | .algolia-autocomplete .algolia-docsearch-footer--logo {
124 | background-image: url("data:image/svg+xml;utf8,");
125 | background-repeat: no-repeat;
126 | background-position: 50%;
127 | background-size: 100%;
128 | overflow: hidden;
129 | text-indent: -9000px;
130 | width: 100%;
131 | height: 100%;
132 | display: block;
133 | transform: translate(-8px);
134 | }
135 |
136 | .algolia-autocomplete .algolia-docsearch-suggestion--highlight {
137 | color: #FF8C00;
138 | background: rgba(232, 189, 54, 0.1)
139 | }
140 |
141 |
142 | .algolia-autocomplete .algolia-docsearch-suggestion--text .algolia-docsearch-suggestion--highlight {
143 | box-shadow: inset 0 -2px 0 0 rgba(105, 105, 105, .5)
144 | }
145 |
146 | .algolia-autocomplete .ds-suggestion.ds-cursor .algolia-docsearch-suggestion--content {
147 | background-color: rgba(192, 192, 192, .15)
148 | }
149 |
--------------------------------------------------------------------------------
/docs/docsearch.js:
--------------------------------------------------------------------------------
1 | $(function() {
2 |
3 | // register a handler to move the focus to the search bar
4 | // upon pressing shift + "/" (i.e. "?")
5 | $(document).on('keydown', function(e) {
6 | if (e.shiftKey && e.keyCode == 191) {
7 | e.preventDefault();
8 | $("#search-input").focus();
9 | }
10 | });
11 |
12 | $(document).ready(function() {
13 | // do keyword highlighting
14 | /* modified from https://jsfiddle.net/julmot/bL6bb5oo/ */
15 | var mark = function() {
16 |
17 | var referrer = document.URL ;
18 | var paramKey = "q" ;
19 |
20 | if (referrer.indexOf("?") !== -1) {
21 | var qs = referrer.substr(referrer.indexOf('?') + 1);
22 | var qs_noanchor = qs.split('#')[0];
23 | var qsa = qs_noanchor.split('&');
24 | var keyword = "";
25 |
26 | for (var i = 0; i < qsa.length; i++) {
27 | var currentParam = qsa[i].split('=');
28 |
29 | if (currentParam.length !== 2) {
30 | continue;
31 | }
32 |
33 | if (currentParam[0] == paramKey) {
34 | keyword = decodeURIComponent(currentParam[1].replace(/\+/g, "%20"));
35 | }
36 | }
37 |
38 | if (keyword !== "") {
39 | $(".contents").unmark({
40 | done: function() {
41 | $(".contents").mark(keyword);
42 | }
43 | });
44 | }
45 | }
46 | };
47 |
48 | mark();
49 | });
50 | });
51 |
52 | /* Search term highlighting ------------------------------*/
53 |
54 | function matchedWords(hit) {
55 | var words = [];
56 |
57 | var hierarchy = hit._highlightResult.hierarchy;
58 | // loop to fetch from lvl0, lvl1, etc.
59 | for (var idx in hierarchy) {
60 | words = words.concat(hierarchy[idx].matchedWords);
61 | }
62 |
63 | var content = hit._highlightResult.content;
64 | if (content) {
65 | words = words.concat(content.matchedWords);
66 | }
67 |
68 | // return unique words
69 | var words_uniq = [...new Set(words)];
70 | return words_uniq;
71 | }
72 |
73 | function updateHitURL(hit) {
74 |
75 | var words = matchedWords(hit);
76 | var url = "";
77 |
78 | if (hit.anchor) {
79 | url = hit.url_without_anchor + '?q=' + escape(words.join(" ")) + '#' + hit.anchor;
80 | } else {
81 | url = hit.url + '?q=' + escape(words.join(" "));
82 | }
83 |
84 | return url;
85 | }
86 |
--------------------------------------------------------------------------------
/docs/index.html:
--------------------------------------------------------------------------------
1 |
2 |
3 |
4 |
5 |
6 |
7 |
8 | Untidy datasets for practicing the tidyverse • untidydata
9 |
10 |
11 |
12 |
13 |
14 |
15 |
16 |
20 |
21 |
22 |
23 |
63 |
64 |
65 |
66 |
67 |
68 |
69 |
70 |
71 |
72 |
73 | untidydata
74 |
75 | An R package of untidy datasets made for the purpose of teaching the tidyverse.
76 | Last update: 2021-01-27
77 |
78 |
79 | Overview
80 | The purpose of this package is to store untidy datasets I have been creating for teaching purposes in a version controlled environment. The datasets vary in difficulty and present different problems common when tidying data.
81 |
82 |
83 |
84 | Installation
85 | You can install the development version from GitHub with:
86 | install.packages("devtools")
87 | devtools::install_github("jvcasillas/untidydata")
88 |
89 |
90 |
91 | Datasets
92 |
93 | - language_diversity
94 | - pre_post
95 | - spanish_vowels
96 | - spirantization
97 | - vot
98 |
99 |
100 |
101 | language_diversity
102 |
103 |
104 | - Difficulty: easy
105 | - A long format dataset that is most useful in wide format.
106 | - Data taken from Appendix 1 in:
107 | Nettle, D. (1998). Explaining Global Patterns of Language Diversity. Journal of Anthropological Archaeology, 17, 354–374.
108 |
109 |
110 |
111 |
112 | pre_post
113 |
114 |
115 | - Difficulty: easy
116 | - A typical pre-test, post-test data set in wide format.
117 |
118 |
119 |
120 |
121 | spanish_vowels
122 |
123 |
124 | - Difficulty: easy
125 | - Simulated Spanish vowel formant measurements from male and female speakers.
126 |
127 |
128 |
137 |
146 |
147 |
148 |
149 |
150 |
151 |
182 |
183 |
184 |
185 |
194 |
195 |
196 |
197 |
198 |
199 |
200 |
201 |
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/docs/link.svg:
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1 |
2 |
3 |
13 |
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/docs/pkgdown.css:
--------------------------------------------------------------------------------
1 | /* Sticky footer */
2 |
3 | /**
4 | * Basic idea: https://philipwalton.github.io/solved-by-flexbox/demos/sticky-footer/
5 | * Details: https://github.com/philipwalton/solved-by-flexbox/blob/master/assets/css/components/site.css
6 | *
7 | * .Site -> body > .container
8 | * .Site-content -> body > .container .row
9 | * .footer -> footer
10 | *
11 | * Key idea seems to be to ensure that .container and __all its parents__
12 | * have height set to 100%
13 | *
14 | */
15 |
16 | html, body {
17 | height: 100%;
18 | }
19 |
20 | body {
21 | position: relative;
22 | }
23 |
24 | body > .container {
25 | display: flex;
26 | height: 100%;
27 | flex-direction: column;
28 | }
29 |
30 | body > .container .row {
31 | flex: 1 0 auto;
32 | }
33 |
34 | footer {
35 | margin-top: 45px;
36 | padding: 35px 0 36px;
37 | border-top: 1px solid #e5e5e5;
38 | color: #666;
39 | display: flex;
40 | flex-shrink: 0;
41 | }
42 | footer p {
43 | margin-bottom: 0;
44 | }
45 | footer div {
46 | flex: 1;
47 | }
48 | footer .pkgdown {
49 | text-align: right;
50 | }
51 | footer p {
52 | margin-bottom: 0;
53 | }
54 |
55 | img.icon {
56 | float: right;
57 | }
58 |
59 | img {
60 | max-width: 100%;
61 | }
62 |
63 | /* Fix bug in bootstrap (only seen in firefox) */
64 | summary {
65 | display: list-item;
66 | }
67 |
68 | /* Typographic tweaking ---------------------------------*/
69 |
70 | .contents .page-header {
71 | margin-top: calc(-60px + 1em);
72 | }
73 |
74 | dd {
75 | margin-left: 3em;
76 | }
77 |
78 | /* Section anchors ---------------------------------*/
79 |
80 | a.anchor {
81 | margin-left: -30px;
82 | display:inline-block;
83 | width: 30px;
84 | height: 30px;
85 | visibility: hidden;
86 |
87 | background-image: url(./link.svg);
88 | background-repeat: no-repeat;
89 | background-size: 20px 20px;
90 | background-position: center center;
91 | }
92 |
93 | .hasAnchor:hover a.anchor {
94 | visibility: visible;
95 | }
96 |
97 | @media (max-width: 767px) {
98 | .hasAnchor:hover a.anchor {
99 | visibility: hidden;
100 | }
101 | }
102 |
103 |
104 | /* Fixes for fixed navbar --------------------------*/
105 |
106 | .contents h1, .contents h2, .contents h3, .contents h4 {
107 | padding-top: 60px;
108 | margin-top: -40px;
109 | }
110 |
111 | /* Navbar submenu --------------------------*/
112 |
113 | .dropdown-submenu {
114 | position: relative;
115 | }
116 |
117 | .dropdown-submenu>.dropdown-menu {
118 | top: 0;
119 | left: 100%;
120 | margin-top: -6px;
121 | margin-left: -1px;
122 | border-radius: 0 6px 6px 6px;
123 | }
124 |
125 | .dropdown-submenu:hover>.dropdown-menu {
126 | display: block;
127 | }
128 |
129 | .dropdown-submenu>a:after {
130 | display: block;
131 | content: " ";
132 | float: right;
133 | width: 0;
134 | height: 0;
135 | border-color: transparent;
136 | border-style: solid;
137 | border-width: 5px 0 5px 5px;
138 | border-left-color: #cccccc;
139 | margin-top: 5px;
140 | margin-right: -10px;
141 | }
142 |
143 | .dropdown-submenu:hover>a:after {
144 | border-left-color: #ffffff;
145 | }
146 |
147 | .dropdown-submenu.pull-left {
148 | float: none;
149 | }
150 |
151 | .dropdown-submenu.pull-left>.dropdown-menu {
152 | left: -100%;
153 | margin-left: 10px;
154 | border-radius: 6px 0 6px 6px;
155 | }
156 |
157 | /* Sidebar --------------------------*/
158 |
159 | #pkgdown-sidebar {
160 | margin-top: 30px;
161 | position: -webkit-sticky;
162 | position: sticky;
163 | top: 70px;
164 | }
165 |
166 | #pkgdown-sidebar h2 {
167 | font-size: 1.5em;
168 | margin-top: 1em;
169 | }
170 |
171 | #pkgdown-sidebar h2:first-child {
172 | margin-top: 0;
173 | }
174 |
175 | #pkgdown-sidebar .list-unstyled li {
176 | margin-bottom: 0.5em;
177 | }
178 |
179 | /* bootstrap-toc tweaks ------------------------------------------------------*/
180 |
181 | /* All levels of nav */
182 |
183 | nav[data-toggle='toc'] .nav > li > a {
184 | padding: 4px 20px 4px 6px;
185 | font-size: 1.5rem;
186 | font-weight: 400;
187 | color: inherit;
188 | }
189 |
190 | nav[data-toggle='toc'] .nav > li > a:hover,
191 | nav[data-toggle='toc'] .nav > li > a:focus {
192 | padding-left: 5px;
193 | color: inherit;
194 | border-left: 1px solid #878787;
195 | }
196 |
197 | nav[data-toggle='toc'] .nav > .active > a,
198 | nav[data-toggle='toc'] .nav > .active:hover > a,
199 | nav[data-toggle='toc'] .nav > .active:focus > a {
200 | padding-left: 5px;
201 | font-size: 1.5rem;
202 | font-weight: 400;
203 | color: inherit;
204 | border-left: 2px solid #878787;
205 | }
206 |
207 | /* Nav: second level (shown on .active) */
208 |
209 | nav[data-toggle='toc'] .nav .nav {
210 | display: none; /* Hide by default, but at >768px, show it */
211 | padding-bottom: 10px;
212 | }
213 |
214 | nav[data-toggle='toc'] .nav .nav > li > a {
215 | padding-left: 16px;
216 | font-size: 1.35rem;
217 | }
218 |
219 | nav[data-toggle='toc'] .nav .nav > li > a:hover,
220 | nav[data-toggle='toc'] .nav .nav > li > a:focus {
221 | padding-left: 15px;
222 | }
223 |
224 | nav[data-toggle='toc'] .nav .nav > .active > a,
225 | nav[data-toggle='toc'] .nav .nav > .active:hover > a,
226 | nav[data-toggle='toc'] .nav .nav > .active:focus > a {
227 | padding-left: 15px;
228 | font-weight: 500;
229 | font-size: 1.35rem;
230 | }
231 |
232 | /* orcid ------------------------------------------------------------------- */
233 |
234 | .orcid {
235 | font-size: 16px;
236 | color: #A6CE39;
237 | /* margins are required by official ORCID trademark and display guidelines */
238 | margin-left:4px;
239 | margin-right:4px;
240 | vertical-align: middle;
241 | }
242 |
243 | /* Reference index & topics ----------------------------------------------- */
244 |
245 | .ref-index th {font-weight: normal;}
246 |
247 | .ref-index td {vertical-align: top; min-width: 100px}
248 | .ref-index .icon {width: 40px;}
249 | .ref-index .alias {width: 40%;}
250 | .ref-index-icons .alias {width: calc(40% - 40px);}
251 | .ref-index .title {width: 60%;}
252 |
253 | .ref-arguments th {text-align: right; padding-right: 10px;}
254 | .ref-arguments th, .ref-arguments td {vertical-align: top; min-width: 100px}
255 | .ref-arguments .name {width: 20%;}
256 | .ref-arguments .desc {width: 80%;}
257 |
258 | /* Nice scrolling for wide elements --------------------------------------- */
259 |
260 | table {
261 | display: block;
262 | overflow: auto;
263 | }
264 |
265 | /* Syntax highlighting ---------------------------------------------------- */
266 |
267 | pre {
268 | word-wrap: normal;
269 | word-break: normal;
270 | border: 1px solid #eee;
271 | }
272 |
273 | pre, code {
274 | background-color: #f8f8f8;
275 | color: #333;
276 | }
277 |
278 | pre code {
279 | overflow: auto;
280 | word-wrap: normal;
281 | white-space: pre;
282 | }
283 |
284 | pre .img {
285 | margin: 5px 0;
286 | }
287 |
288 | pre .img img {
289 | background-color: #fff;
290 | display: block;
291 | height: auto;
292 | }
293 |
294 | code a, pre a {
295 | color: #375f84;
296 | }
297 |
298 | a.sourceLine:hover {
299 | text-decoration: none;
300 | }
301 |
302 | .fl {color: #1514b5;}
303 | .fu {color: #000000;} /* function */
304 | .ch,.st {color: #036a07;} /* string */
305 | .kw {color: #264D66;} /* keyword */
306 | .co {color: #888888;} /* comment */
307 |
308 | .message { color: black; font-weight: bolder;}
309 | .error { color: orange; font-weight: bolder;}
310 | .warning { color: #6A0366; font-weight: bolder;}
311 |
312 | /* Clipboard --------------------------*/
313 |
314 | .hasCopyButton {
315 | position: relative;
316 | }
317 |
318 | .btn-copy-ex {
319 | position: absolute;
320 | right: 0;
321 | top: 0;
322 | visibility: hidden;
323 | }
324 |
325 | .hasCopyButton:hover button.btn-copy-ex {
326 | visibility: visible;
327 | }
328 |
329 | /* headroom.js ------------------------ */
330 |
331 | .headroom {
332 | will-change: transform;
333 | transition: transform 200ms linear;
334 | }
335 | .headroom--pinned {
336 | transform: translateY(0%);
337 | }
338 | .headroom--unpinned {
339 | transform: translateY(-100%);
340 | }
341 |
342 | /* mark.js ----------------------------*/
343 |
344 | mark {
345 | background-color: rgba(255, 255, 51, 0.5);
346 | border-bottom: 2px solid rgba(255, 153, 51, 0.3);
347 | padding: 1px;
348 | }
349 |
350 | /* vertical spacing after htmlwidgets */
351 | .html-widget {
352 | margin-bottom: 10px;
353 | }
354 |
355 | /* fontawesome ------------------------ */
356 |
357 | .fab {
358 | font-family: "Font Awesome 5 Brands" !important;
359 | }
360 |
361 | /* don't display links in code chunks when printing */
362 | /* source: https://stackoverflow.com/a/10781533 */
363 | @media print {
364 | code a:link:after, code a:visited:after {
365 | content: "";
366 | }
367 | }
368 |
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/docs/pkgdown.js:
--------------------------------------------------------------------------------
1 | /* http://gregfranko.com/blog/jquery-best-practices/ */
2 | (function($) {
3 | $(function() {
4 |
5 | $('.navbar-fixed-top').headroom();
6 |
7 | $('body').css('padding-top', $('.navbar').height() + 10);
8 | $(window).resize(function(){
9 | $('body').css('padding-top', $('.navbar').height() + 10);
10 | });
11 |
12 | $('[data-toggle="tooltip"]').tooltip();
13 |
14 | var cur_path = paths(location.pathname);
15 | var links = $("#navbar ul li a");
16 | var max_length = -1;
17 | var pos = -1;
18 | for (var i = 0; i < links.length; i++) {
19 | if (links[i].getAttribute("href") === "#")
20 | continue;
21 | // Ignore external links
22 | if (links[i].host !== location.host)
23 | continue;
24 |
25 | var nav_path = paths(links[i].pathname);
26 |
27 | var length = prefix_length(nav_path, cur_path);
28 | if (length > max_length) {
29 | max_length = length;
30 | pos = i;
31 | }
32 | }
33 |
34 | // Add class to parent
`).
76 | getTopLevel: function($scope) {
77 | for (var i = 1; i <= 6; i++) {
78 | var $headings = this.findOrFilter($scope, 'h' + i);
79 | if ($headings.length > 1) {
80 | return i;
81 | }
82 | }
83 |
84 | return 1;
85 | },
86 |
87 | // returns the elements for the top level, and the next below it
88 | getHeadings: function($scope, topLevel) {
89 | var topSelector = 'h' + topLevel;
90 |
91 | var secondaryLevel = topLevel + 1;
92 | var secondarySelector = 'h' + secondaryLevel;
93 |
94 | return this.findOrFilter($scope, topSelector + ',' + secondarySelector);
95 | },
96 |
97 | getNavLevel: function(el) {
98 | return parseInt(el.tagName.charAt(1), 10);
99 | },
100 |
101 | populateNav: function($topContext, topLevel, $headings) {
102 | var $context = $topContext;
103 | var $prevNav;
104 |
105 | var helpers = this;
106 | $headings.each(function(i, el) {
107 | var $newNav = helpers.generateNavItem(el);
108 | var navLevel = helpers.getNavLevel(el);
109 |
110 | // determine the proper $context
111 | if (navLevel === topLevel) {
112 | // use top level
113 | $context = $topContext;
114 | } else if ($prevNav && $context === $topContext) {
115 | // create a new level of the tree and switch to it
116 | $context = helpers.createChildNavList($prevNav);
117 | } // else use the current $context
118 |
119 | $context.append($newNav);
120 |
121 | $prevNav = $newNav;
122 | });
123 | },
124 |
125 | parseOps: function(arg) {
126 | var opts;
127 | if (arg.jquery) {
128 | opts = {
129 | $nav: arg
130 | };
131 | } else {
132 | opts = arg;
133 | }
134 | opts.$scope = opts.$scope || $(document.body);
135 | return opts;
136 | }
137 | },
138 |
139 | // accepts a jQuery object, or an options object
140 | init: function(opts) {
141 | opts = this.helpers.parseOps(opts);
142 |
143 | // ensure that the data attribute is in place for styling
144 | opts.$nav.attr('data-toggle', 'toc');
145 |
146 | var $topContext = this.helpers.createChildNavList(opts.$nav);
147 | var topLevel = this.helpers.getTopLevel(opts.$scope);
148 | var $headings = this.helpers.getHeadings(opts.$scope, topLevel);
149 | this.helpers.populateNav($topContext, topLevel, $headings);
150 | }
151 | };
152 |
153 | $(function() {
154 | $('nav[data-toggle="toc"]').each(function(i, el) {
155 | var $nav = $(el);
156 | Toc.init($nav);
157 | });
158 | });
159 | })();
160 |
--------------------------------------------------------------------------------
/docs/docsearch.css:
--------------------------------------------------------------------------------
1 | /* Docsearch -------------------------------------------------------------- */
2 | /*
3 | Source: https://github.com/algolia/docsearch/
4 | License: MIT
5 | */
6 |
7 | .algolia-autocomplete {
8 | display: block;
9 | -webkit-box-flex: 1;
10 | -ms-flex: 1;
11 | flex: 1
12 | }
13 |
14 | .algolia-autocomplete .ds-dropdown-menu {
15 | width: 100%;
16 | min-width: none;
17 | max-width: none;
18 | padding: .75rem 0;
19 | background-color: #fff;
20 | background-clip: padding-box;
21 | border: 1px solid rgba(0, 0, 0, .1);
22 | box-shadow: 0 .5rem 1rem rgba(0, 0, 0, .175);
23 | }
24 |
25 | @media (min-width:768px) {
26 | .algolia-autocomplete .ds-dropdown-menu {
27 | width: 175%
28 | }
29 | }
30 |
31 | .algolia-autocomplete .ds-dropdown-menu::before {
32 | display: none
33 | }
34 |
35 | .algolia-autocomplete .ds-dropdown-menu [class^=ds-dataset-] {
36 | padding: 0;
37 | background-color: rgb(255,255,255);
38 | border: 0;
39 | max-height: 80vh;
40 | }
41 |
42 | .algolia-autocomplete .ds-dropdown-menu .ds-suggestions {
43 | margin-top: 0
44 | }
45 |
46 | .algolia-autocomplete .algolia-docsearch-suggestion {
47 | padding: 0;
48 | overflow: visible
49 | }
50 |
51 | .algolia-autocomplete .algolia-docsearch-suggestion--category-header {
52 | padding: .125rem 1rem;
53 | margin-top: 0;
54 | font-size: 1.3em;
55 | font-weight: 500;
56 | color: #00008B;
57 | border-bottom: 0
58 | }
59 |
60 | .algolia-autocomplete .algolia-docsearch-suggestion--wrapper {
61 | float: none;
62 | padding-top: 0
63 | }
64 |
65 | .algolia-autocomplete .algolia-docsearch-suggestion--subcategory-column {
66 | float: none;
67 | width: auto;
68 | padding: 0;
69 | text-align: left
70 | }
71 |
72 | .algolia-autocomplete .algolia-docsearch-suggestion--content {
73 | float: none;
74 | width: auto;
75 | padding: 0
76 | }
77 |
78 | .algolia-autocomplete .algolia-docsearch-suggestion--content::before {
79 | display: none
80 | }
81 |
82 | .algolia-autocomplete .ds-suggestion:not(:first-child) .algolia-docsearch-suggestion--category-header {
83 | padding-top: .75rem;
84 | margin-top: .75rem;
85 | border-top: 1px solid rgba(0, 0, 0, .1)
86 | }
87 |
88 | .algolia-autocomplete .ds-suggestion .algolia-docsearch-suggestion--subcategory-column {
89 | display: block;
90 | padding: .1rem 1rem;
91 | margin-bottom: 0.1;
92 | font-size: 1.0em;
93 | font-weight: 400
94 | /* display: none */
95 | }
96 |
97 | .algolia-autocomplete .algolia-docsearch-suggestion--title {
98 | display: block;
99 | padding: .25rem 1rem;
100 | margin-bottom: 0;
101 | font-size: 0.9em;
102 | font-weight: 400
103 | }
104 |
105 | .algolia-autocomplete .algolia-docsearch-suggestion--text {
106 | padding: 0 1rem .5rem;
107 | margin-top: -.25rem;
108 | font-size: 0.8em;
109 | font-weight: 400;
110 | line-height: 1.25
111 | }
112 |
113 | .algolia-autocomplete .algolia-docsearch-footer {
114 | width: 110px;
115 | height: 20px;
116 | z-index: 3;
117 | margin-top: 10.66667px;
118 | float: right;
119 | font-size: 0;
120 | line-height: 0;
121 | }
122 |
123 | .algolia-autocomplete .algolia-docsearch-footer--logo {
124 | background-image: url("data:image/svg+xml;utf8,");
125 | background-repeat: no-repeat;
126 | background-position: 50%;
127 | background-size: 100%;
128 | overflow: hidden;
129 | text-indent: -9000px;
130 | width: 100%;
131 | height: 100%;
132 | display: block;
133 | transform: translate(-8px);
134 | }
135 |
136 | .algolia-autocomplete .algolia-docsearch-suggestion--highlight {
137 | color: #FF8C00;
138 | background: rgba(232, 189, 54, 0.1)
139 | }
140 |
141 |
142 | .algolia-autocomplete .algolia-docsearch-suggestion--text .algolia-docsearch-suggestion--highlight {
143 | box-shadow: inset 0 -2px 0 0 rgba(105, 105, 105, .5)
144 | }
145 |
146 | .algolia-autocomplete .ds-suggestion.ds-cursor .algolia-docsearch-suggestion--content {
147 | background-color: rgba(192, 192, 192, .15)
148 | }
149 |
--------------------------------------------------------------------------------
/docs/docsearch.js:
--------------------------------------------------------------------------------
1 | $(function() {
2 |
3 | // register a handler to move the focus to the search bar
4 | // upon pressing shift + "/" (i.e. "?")
5 | $(document).on('keydown', function(e) {
6 | if (e.shiftKey && e.keyCode == 191) {
7 | e.preventDefault();
8 | $("#search-input").focus();
9 | }
10 | });
11 |
12 | $(document).ready(function() {
13 | // do keyword highlighting
14 | /* modified from https://jsfiddle.net/julmot/bL6bb5oo/ */
15 | var mark = function() {
16 |
17 | var referrer = document.URL ;
18 | var paramKey = "q" ;
19 |
20 | if (referrer.indexOf("?") !== -1) {
21 | var qs = referrer.substr(referrer.indexOf('?') + 1);
22 | var qs_noanchor = qs.split('#')[0];
23 | var qsa = qs_noanchor.split('&');
24 | var keyword = "";
25 |
26 | for (var i = 0; i < qsa.length; i++) {
27 | var currentParam = qsa[i].split('=');
28 |
29 | if (currentParam.length !== 2) {
30 | continue;
31 | }
32 |
33 | if (currentParam[0] == paramKey) {
34 | keyword = decodeURIComponent(currentParam[1].replace(/\+/g, "%20"));
35 | }
36 | }
37 |
38 | if (keyword !== "") {
39 | $(".contents").unmark({
40 | done: function() {
41 | $(".contents").mark(keyword);
42 | }
43 | });
44 | }
45 | }
46 | };
47 |
48 | mark();
49 | });
50 | });
51 |
52 | /* Search term highlighting ------------------------------*/
53 |
54 | function matchedWords(hit) {
55 | var words = [];
56 |
57 | var hierarchy = hit._highlightResult.hierarchy;
58 | // loop to fetch from lvl0, lvl1, etc.
59 | for (var idx in hierarchy) {
60 | words = words.concat(hierarchy[idx].matchedWords);
61 | }
62 |
63 | var content = hit._highlightResult.content;
64 | if (content) {
65 | words = words.concat(content.matchedWords);
66 | }
67 |
68 | // return unique words
69 | var words_uniq = [...new Set(words)];
70 | return words_uniq;
71 | }
72 |
73 | function updateHitURL(hit) {
74 |
75 | var words = matchedWords(hit);
76 | var url = "";
77 |
78 | if (hit.anchor) {
79 | url = hit.url_without_anchor + '?q=' + escape(words.join(" ")) + '#' + hit.anchor;
80 | } else {
81 | url = hit.url + '?q=' + escape(words.join(" "));
82 | }
83 |
84 | return url;
85 | }
86 |
--------------------------------------------------------------------------------
/docs/index.html:
--------------------------------------------------------------------------------
1 |
2 |
3 |
4 |
5 |
6 |
7 |
8 | Untidy datasets for practicing the tidyverse • untidydata
9 |
10 |
11 |
12 |
13 |
14 |
15 |
16 |
20 |
21 |
22 |
23 |
63 |
64 |
65 |
66 |
67 |
68 |
69 |
70 |
71 |
72 |
73 | untidydata
74 |
75 | An R package of untidy datasets made for the purpose of teaching the tidyverse.
76 | Last update: 2021-01-27
77 |
78 |
79 | Overview
80 | The purpose of this package is to store untidy datasets I have been creating for teaching purposes in a version controlled environment. The datasets vary in difficulty and present different problems common when tidying data.
81 |
82 |
83 |
84 | Installation
85 | You can install the development version from GitHub with:
86 | install.packages("devtools")
87 | devtools::install_github("jvcasillas/untidydata")
88 |
89 |
90 |
91 | Datasets
92 |
93 | - language_diversity
94 | - pre_post
95 | - spanish_vowels
96 | - spirantization
97 | - vot
98 |
99 |
100 |
101 | language_diversity
102 |
103 |
104 | - Difficulty: easy
105 | - A long format dataset that is most useful in wide format.
106 | - Data taken from Appendix 1 in:
107 | Nettle, D. (1998). Explaining Global Patterns of Language Diversity. Journal of Anthropological Archaeology, 17, 354–374.
108 |
109 |
110 |
111 |
112 | pre_post
113 |
114 |
115 | - Difficulty: easy
116 | - A typical pre-test, post-test data set in wide format.
117 |
118 |
119 |
120 |
121 | spanish_vowels
122 |
123 |
124 | - Difficulty: easy
125 | - Simulated Spanish vowel formant measurements from male and female speakers.
126 |
127 |
128 |
137 |
146 |
147 |
148 |
149 |
150 |
151 |
182 |
183 |
184 |
185 |
194 |
195 |
196 |
197 |
198 |
199 |
200 |
201 |
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/docs/link.svg:
--------------------------------------------------------------------------------
1 |
2 |
3 |
13 |
--------------------------------------------------------------------------------
/docs/pkgdown.css:
--------------------------------------------------------------------------------
1 | /* Sticky footer */
2 |
3 | /**
4 | * Basic idea: https://philipwalton.github.io/solved-by-flexbox/demos/sticky-footer/
5 | * Details: https://github.com/philipwalton/solved-by-flexbox/blob/master/assets/css/components/site.css
6 | *
7 | * .Site -> body > .container
8 | * .Site-content -> body > .container .row
9 | * .footer -> footer
10 | *
11 | * Key idea seems to be to ensure that .container and __all its parents__
12 | * have height set to 100%
13 | *
14 | */
15 |
16 | html, body {
17 | height: 100%;
18 | }
19 |
20 | body {
21 | position: relative;
22 | }
23 |
24 | body > .container {
25 | display: flex;
26 | height: 100%;
27 | flex-direction: column;
28 | }
29 |
30 | body > .container .row {
31 | flex: 1 0 auto;
32 | }
33 |
34 | footer {
35 | margin-top: 45px;
36 | padding: 35px 0 36px;
37 | border-top: 1px solid #e5e5e5;
38 | color: #666;
39 | display: flex;
40 | flex-shrink: 0;
41 | }
42 | footer p {
43 | margin-bottom: 0;
44 | }
45 | footer div {
46 | flex: 1;
47 | }
48 | footer .pkgdown {
49 | text-align: right;
50 | }
51 | footer p {
52 | margin-bottom: 0;
53 | }
54 |
55 | img.icon {
56 | float: right;
57 | }
58 |
59 | img {
60 | max-width: 100%;
61 | }
62 |
63 | /* Fix bug in bootstrap (only seen in firefox) */
64 | summary {
65 | display: list-item;
66 | }
67 |
68 | /* Typographic tweaking ---------------------------------*/
69 |
70 | .contents .page-header {
71 | margin-top: calc(-60px + 1em);
72 | }
73 |
74 | dd {
75 | margin-left: 3em;
76 | }
77 |
78 | /* Section anchors ---------------------------------*/
79 |
80 | a.anchor {
81 | margin-left: -30px;
82 | display:inline-block;
83 | width: 30px;
84 | height: 30px;
85 | visibility: hidden;
86 |
87 | background-image: url(./link.svg);
88 | background-repeat: no-repeat;
89 | background-size: 20px 20px;
90 | background-position: center center;
91 | }
92 |
93 | .hasAnchor:hover a.anchor {
94 | visibility: visible;
95 | }
96 |
97 | @media (max-width: 767px) {
98 | .hasAnchor:hover a.anchor {
99 | visibility: hidden;
100 | }
101 | }
102 |
103 |
104 | /* Fixes for fixed navbar --------------------------*/
105 |
106 | .contents h1, .contents h2, .contents h3, .contents h4 {
107 | padding-top: 60px;
108 | margin-top: -40px;
109 | }
110 |
111 | /* Navbar submenu --------------------------*/
112 |
113 | .dropdown-submenu {
114 | position: relative;
115 | }
116 |
117 | .dropdown-submenu>.dropdown-menu {
118 | top: 0;
119 | left: 100%;
120 | margin-top: -6px;
121 | margin-left: -1px;
122 | border-radius: 0 6px 6px 6px;
123 | }
124 |
125 | .dropdown-submenu:hover>.dropdown-menu {
126 | display: block;
127 | }
128 |
129 | .dropdown-submenu>a:after {
130 | display: block;
131 | content: " ";
132 | float: right;
133 | width: 0;
134 | height: 0;
135 | border-color: transparent;
136 | border-style: solid;
137 | border-width: 5px 0 5px 5px;
138 | border-left-color: #cccccc;
139 | margin-top: 5px;
140 | margin-right: -10px;
141 | }
142 |
143 | .dropdown-submenu:hover>a:after {
144 | border-left-color: #ffffff;
145 | }
146 |
147 | .dropdown-submenu.pull-left {
148 | float: none;
149 | }
150 |
151 | .dropdown-submenu.pull-left>.dropdown-menu {
152 | left: -100%;
153 | margin-left: 10px;
154 | border-radius: 6px 0 6px 6px;
155 | }
156 |
157 | /* Sidebar --------------------------*/
158 |
159 | #pkgdown-sidebar {
160 | margin-top: 30px;
161 | position: -webkit-sticky;
162 | position: sticky;
163 | top: 70px;
164 | }
165 |
166 | #pkgdown-sidebar h2 {
167 | font-size: 1.5em;
168 | margin-top: 1em;
169 | }
170 |
171 | #pkgdown-sidebar h2:first-child {
172 | margin-top: 0;
173 | }
174 |
175 | #pkgdown-sidebar .list-unstyled li {
176 | margin-bottom: 0.5em;
177 | }
178 |
179 | /* bootstrap-toc tweaks ------------------------------------------------------*/
180 |
181 | /* All levels of nav */
182 |
183 | nav[data-toggle='toc'] .nav > li > a {
184 | padding: 4px 20px 4px 6px;
185 | font-size: 1.5rem;
186 | font-weight: 400;
187 | color: inherit;
188 | }
189 |
190 | nav[data-toggle='toc'] .nav > li > a:hover,
191 | nav[data-toggle='toc'] .nav > li > a:focus {
192 | padding-left: 5px;
193 | color: inherit;
194 | border-left: 1px solid #878787;
195 | }
196 |
197 | nav[data-toggle='toc'] .nav > .active > a,
198 | nav[data-toggle='toc'] .nav > .active:hover > a,
199 | nav[data-toggle='toc'] .nav > .active:focus > a {
200 | padding-left: 5px;
201 | font-size: 1.5rem;
202 | font-weight: 400;
203 | color: inherit;
204 | border-left: 2px solid #878787;
205 | }
206 |
207 | /* Nav: second level (shown on .active) */
208 |
209 | nav[data-toggle='toc'] .nav .nav {
210 | display: none; /* Hide by default, but at >768px, show it */
211 | padding-bottom: 10px;
212 | }
213 |
214 | nav[data-toggle='toc'] .nav .nav > li > a {
215 | padding-left: 16px;
216 | font-size: 1.35rem;
217 | }
218 |
219 | nav[data-toggle='toc'] .nav .nav > li > a:hover,
220 | nav[data-toggle='toc'] .nav .nav > li > a:focus {
221 | padding-left: 15px;
222 | }
223 |
224 | nav[data-toggle='toc'] .nav .nav > .active > a,
225 | nav[data-toggle='toc'] .nav .nav > .active:hover > a,
226 | nav[data-toggle='toc'] .nav .nav > .active:focus > a {
227 | padding-left: 15px;
228 | font-weight: 500;
229 | font-size: 1.35rem;
230 | }
231 |
232 | /* orcid ------------------------------------------------------------------- */
233 |
234 | .orcid {
235 | font-size: 16px;
236 | color: #A6CE39;
237 | /* margins are required by official ORCID trademark and display guidelines */
238 | margin-left:4px;
239 | margin-right:4px;
240 | vertical-align: middle;
241 | }
242 |
243 | /* Reference index & topics ----------------------------------------------- */
244 |
245 | .ref-index th {font-weight: normal;}
246 |
247 | .ref-index td {vertical-align: top; min-width: 100px}
248 | .ref-index .icon {width: 40px;}
249 | .ref-index .alias {width: 40%;}
250 | .ref-index-icons .alias {width: calc(40% - 40px);}
251 | .ref-index .title {width: 60%;}
252 |
253 | .ref-arguments th {text-align: right; padding-right: 10px;}
254 | .ref-arguments th, .ref-arguments td {vertical-align: top; min-width: 100px}
255 | .ref-arguments .name {width: 20%;}
256 | .ref-arguments .desc {width: 80%;}
257 |
258 | /* Nice scrolling for wide elements --------------------------------------- */
259 |
260 | table {
261 | display: block;
262 | overflow: auto;
263 | }
264 |
265 | /* Syntax highlighting ---------------------------------------------------- */
266 |
267 | pre {
268 | word-wrap: normal;
269 | word-break: normal;
270 | border: 1px solid #eee;
271 | }
272 |
273 | pre, code {
274 | background-color: #f8f8f8;
275 | color: #333;
276 | }
277 |
278 | pre code {
279 | overflow: auto;
280 | word-wrap: normal;
281 | white-space: pre;
282 | }
283 |
284 | pre .img {
285 | margin: 5px 0;
286 | }
287 |
288 | pre .img img {
289 | background-color: #fff;
290 | display: block;
291 | height: auto;
292 | }
293 |
294 | code a, pre a {
295 | color: #375f84;
296 | }
297 |
298 | a.sourceLine:hover {
299 | text-decoration: none;
300 | }
301 |
302 | .fl {color: #1514b5;}
303 | .fu {color: #000000;} /* function */
304 | .ch,.st {color: #036a07;} /* string */
305 | .kw {color: #264D66;} /* keyword */
306 | .co {color: #888888;} /* comment */
307 |
308 | .message { color: black; font-weight: bolder;}
309 | .error { color: orange; font-weight: bolder;}
310 | .warning { color: #6A0366; font-weight: bolder;}
311 |
312 | /* Clipboard --------------------------*/
313 |
314 | .hasCopyButton {
315 | position: relative;
316 | }
317 |
318 | .btn-copy-ex {
319 | position: absolute;
320 | right: 0;
321 | top: 0;
322 | visibility: hidden;
323 | }
324 |
325 | .hasCopyButton:hover button.btn-copy-ex {
326 | visibility: visible;
327 | }
328 |
329 | /* headroom.js ------------------------ */
330 |
331 | .headroom {
332 | will-change: transform;
333 | transition: transform 200ms linear;
334 | }
335 | .headroom--pinned {
336 | transform: translateY(0%);
337 | }
338 | .headroom--unpinned {
339 | transform: translateY(-100%);
340 | }
341 |
342 | /* mark.js ----------------------------*/
343 |
344 | mark {
345 | background-color: rgba(255, 255, 51, 0.5);
346 | border-bottom: 2px solid rgba(255, 153, 51, 0.3);
347 | padding: 1px;
348 | }
349 |
350 | /* vertical spacing after htmlwidgets */
351 | .html-widget {
352 | margin-bottom: 10px;
353 | }
354 |
355 | /* fontawesome ------------------------ */
356 |
357 | .fab {
358 | font-family: "Font Awesome 5 Brands" !important;
359 | }
360 |
361 | /* don't display links in code chunks when printing */
362 | /* source: https://stackoverflow.com/a/10781533 */
363 | @media print {
364 | code a:link:after, code a:visited:after {
365 | content: "";
366 | }
367 | }
368 |
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/docs/pkgdown.js:
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1 | /* http://gregfranko.com/blog/jquery-best-practices/ */
2 | (function($) {
3 | $(function() {
4 |
5 | $('.navbar-fixed-top').headroom();
6 |
7 | $('body').css('padding-top', $('.navbar').height() + 10);
8 | $(window).resize(function(){
9 | $('body').css('padding-top', $('.navbar').height() + 10);
10 | });
11 |
12 | $('[data-toggle="tooltip"]').tooltip();
13 |
14 | var cur_path = paths(location.pathname);
15 | var links = $("#navbar ul li a");
16 | var max_length = -1;
17 | var pos = -1;
18 | for (var i = 0; i < links.length; i++) {
19 | if (links[i].getAttribute("href") === "#")
20 | continue;
21 | // Ignore external links
22 | if (links[i].host !== location.host)
23 | continue;
24 |
25 | var nav_path = paths(links[i].pathname);
26 |
27 | var length = prefix_length(nav_path, cur_path);
28 | if (length > max_length) {
29 | max_length = length;
30 | pos = i;
31 | }
32 | }
33 |
34 | // Add class to parent
68 |
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72 |
73 | untidydata
75 |
148 |
149 |
73 | untidydata
74 |
75 | An R package of untidy datasets made for the purpose of teaching the tidyverse.
76 |Last update: 2021-01-27
77 |
78 |
82 | 79 | Overview
80 |The purpose of this package is to store untidy datasets I have been creating for teaching purposes in a version controlled environment. The datasets vary in difficulty and present different problems common when tidying data.
81 |
83 |
88 |
89 | 84 | Installation
85 |You can install the development version from GitHub with:
86 |install.packages("devtools")
87 | devtools::install_github("jvcasillas/untidydata")
90 |
147 | 91 | Datasets
92 |-
93 |
- language_diversity 94 |
- pre_post 95 |
- spanish_vowels 96 |
- spirantization 97 |
- vot 98 |
100 |
101 |
103 |
110 |
101 | language_diversity
102 |
103 | -
104 |
- Difficulty: easy 105 |
- A long format dataset that is most useful in wide format. 106 |
- Data taken from Appendix 1 in:
107 | Nettle, D. (1998). Explaining Global Patterns of Language Diversity. Journal of Anthropological Archaeology, 17, 354–374.
108 |
111 |
112 |
114 |
119 |
112 | pre_post
113 |
114 | -
115 |
- Difficulty: easy 116 |
- A typical pre-test, post-test data set in wide format. 117 |
120 |
121 |
123 |
128 |
137 |
146 |
121 | spanish_vowels
122 |
123 | -
124 |
- Difficulty: easy 125 |
- Simulated Spanish vowel formant measurements from male and female speakers. 126 |
62 |
63 |
102 |
103 |
104 |
105 |
106 |
107 |
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113 | Reference
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/docs/reference/pre_post.html:
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118 |
119 |
120 | Language diversity data from Nettle (1998).
116 | Source:R/language_diversity.R
117 | language_diversity.Rd
121 |
127 |
128 | A long-form dataset containing language diversity observations from Nettle 122 | (1998). The data attempt to explain global patterns of language diversity 123 | and are most useful in wide format.
124 |Nettle, D. (1998). Explaining Global Patterns of Language Diversity. 125 | Journal of Anthropological Archaeology, 17, 354–374.
126 |language_diversity
129 |
130 |
131 | Format
132 | 133 |A data frame with 444 rows and 4 variables:
-
134 |
- Continent
continent lables
135 | - Country
country labels
136 | - Measurement
global pattern measures
137 | - Value
values of measurements
138 |
139 |
Source
142 | 143 | 144 | 145 |
65 |
66 |
105 |
106 |
107 |
108 |
109 |
110 |
161 |
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/docs/reference/spanish_vowels.html:
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6 |
7 |
8 |
9 |
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148 |
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112 |
117 |
118 |
142 |
147 |
119 |
123 |
124 | A simulated dataset containing untidy test scores in percents 120 | from two groups. This data was simulated in R for 121 | teaching purposes.
122 |pre_post
125 |
126 |
127 | Format
128 | 129 |A data frame with 16 rows and 4 variables:
-
130 |
- id
subject id labels, language label
131 | - spec
two grouping variables separated by underscores
132 | - test1
scores from pre-test
133 | - test2
scores from post-test
134 |
135 |
Source
138 | 139 | 140 | 141 |
64 |
65 |
104 |
105 |
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107 |
108 |
109 |
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167 |
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/docs/reference/spirantization.html:
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146 |
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111 |
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112 |
115 |
116 |
117 | Formant frequencies of Spanish vowels.
113 | Source:R/spanish_vowels.R
114 | spanish_vowels.Rd
118 |
121 |
122 | A simulated dataset containing raw f1/f2 for the 5 Spanish 119 | vowels from male and female native speakers.
120 |spanish_vowels
123 |
124 |
125 | Format
126 | 127 |A data frame with 750 rows and 6 variables:
-
128 |
- label
subject id, gender, vowel
129 | - rep
iteration of item
130 | - f1
f1 values, in hz
131 | - f2
f2 values, in hz
132 |
133 |
Source
136 | 137 | 138 | 139 |
65 |
66 |
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/docs/reference/vot.html:
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116 |
117 |
118 | Spanish consonant and vowel intensity measurements.
114 | Source:R/spirantization.R
115 | spirantization.Rd
119 |
123 |
124 | A simulated dataset containing intensity measurements from a word 120 | initial or intervocalic obstruent-vowel sequence for two learner 121 | groups and native Spanish speakers.
122 |spirantization
125 |
126 |
127 | Format
128 | 129 |A data frame with 16 rows and 4 variables:
-
130 |
- id
subject id and proficiency label
131 | - position
word initial or intervocalic position
132 | - cIntensity
intensity in dB from obstruent
133 | - vIntensity
intensity in dB from following vowel
134 |
135 |
Source
138 | 139 | 140 | 141 |
70 |
71 |
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111 |
112 |
113 |
114 |
115 |
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179 |
180 |
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/man/language_diversity.Rd:
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1 | % Generated by roxygen2: do not edit by hand
2 | % Please edit documentation in R/language_diversity.R
3 | \docType{data}
4 | \name{language_diversity}
5 | \alias{language_diversity}
6 | \title{Language diversity data from Nettle (1998).}
7 | \format{
8 | A data frame with 444 rows and 4 variables:
9 | \describe{
10 | \item{Continent}{continent lables}
11 | \item{Country}{country labels}
12 | \item{Measurement}{global pattern measures}
13 | \item{Value}{values of measurements}
14 | }
15 | }
16 | \source{
17 | \url{https://github.com/jvcasillas/untidydata}
18 | }
19 | \usage{
20 | language_diversity
21 | }
22 | \description{
23 | A long-form dataset containing language diversity observations from Nettle
24 | (1998). The data attempt to explain global patterns of language diversity
25 | and are most useful in wide format.
26 |
27 | Nettle, D. (1998). Explaining Global Patterns of Language Diversity.
28 | Journal of Anthropological Archaeology, 17, 354–374.
29 | }
30 | \keyword{datasets}
31 |
--------------------------------------------------------------------------------
/man/pre_post.Rd:
--------------------------------------------------------------------------------
1 | % Generated by roxygen2: do not edit by hand
2 | % Please edit documentation in R/pre_post.R
3 | \docType{data}
4 | \name{pre_post}
5 | \alias{pre_post}
6 | \title{Pre/post test data from two populations.}
7 | \format{
8 | A data frame with 16 rows and 4 variables:
9 | \describe{
10 | \item{id}{subject id labels, language label}
11 | \item{spec}{two grouping variables separated by underscores}
12 | \item{test1}{scores from pre-test}
13 | \item{test2}{scores from post-test}
14 | }
15 | }
16 | \source{
17 | \url{https://github.com/jvcasillas/untidydata}
18 | }
19 | \usage{
20 | pre_post
21 | }
22 | \description{
23 | A simulated dataset containing untidy test scores in percents
24 | from two groups. This data was simulated in R for
25 | teaching purposes.
26 | }
27 | \keyword{datasets}
28 |
--------------------------------------------------------------------------------
/man/spanish_vowels.Rd:
--------------------------------------------------------------------------------
1 | % Generated by roxygen2: do not edit by hand
2 | % Please edit documentation in R/spanish_vowels.R
3 | \docType{data}
4 | \name{spanish_vowels}
5 | \alias{spanish_vowels}
6 | \title{Formant frequencies of Spanish vowels.}
7 | \format{
8 | A data frame with 750 rows and 6 variables:
9 | \describe{
10 | \item{label}{subject id, gender, vowel}
11 | \item{rep}{iteration of item}
12 | \item{f1}{f1 values, in hz}
13 | \item{f2}{f2 values, in hz}
14 | }
15 | }
16 | \source{
17 | \url{https://github.com/jvcasillas/untidydata}
18 | }
19 | \usage{
20 | spanish_vowels
21 | }
22 | \description{
23 | A simulated dataset containing raw f1/f2 for the 5 Spanish
24 | vowels from male and female native speakers.
25 | }
26 | \keyword{datasets}
27 |
--------------------------------------------------------------------------------
/man/spirantization.Rd:
--------------------------------------------------------------------------------
1 | % Generated by roxygen2: do not edit by hand
2 | % Please edit documentation in R/spirantization.R
3 | \docType{data}
4 | \name{spirantization}
5 | \alias{spirantization}
6 | \title{Spanish consonant and vowel intensity measurements.}
7 | \format{
8 | A data frame with 16 rows and 4 variables:
9 | \describe{
10 | \item{id}{subject id and proficiency label}
11 | \item{position}{word initial or intervocalic position}
12 | \item{cIntensity}{intensity in dB from obstruent}
13 | \item{vIntensity}{intensity in dB from following vowel}
14 | }
15 | }
16 | \source{
17 | \url{https://github.com/jvcasillas/untidydata}
18 | }
19 | \usage{
20 | spirantization
21 | }
22 | \description{
23 | A simulated dataset containing intensity measurements from a word
24 | initial or intervocalic obstruent-vowel sequence for two learner
25 | groups and native Spanish speakers.
26 | }
27 | \keyword{datasets}
28 |
--------------------------------------------------------------------------------
/man/vot.Rd:
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1 | % Generated by roxygen2: do not edit by hand
2 | % Please edit documentation in R/vot.R
3 | \docType{data}
4 | \name{vot}
5 | \alias{vot}
6 | \title{Voice onset time data from three populations.}
7 | \format{
8 | A data frame with 720 rows and 5 variables:
9 | \describe{
10 | \item{participant}{subject id labels}
11 | \item{language}{language spoken, spanish/english}
12 | \item{item}{target word}
13 | \item{repetition}{iteration of item}
14 | \item{vot}{vot values, in ms}
15 | }
16 | }
17 | \source{
18 | \url{https://github.com/jvcasillas/untidydata}
19 | }
20 | \usage{
21 | vot
22 | }
23 | \description{
24 | A dataset containing raw voice onset time (VOT) data in ms
25 | from three groups. This data was simulated in R based off
26 | the data set used in Casillas, Diaz, & Simonet (2015).
27 |
28 | Casillas, J. V., Diaz, Y. and Simonet, M. (2015). "Acoustics of
29 | Spanish and English coronal stops". In ICPhS 18. Ed. by T. S. C.
30 | for ICPhS 2015. Proceedings of the 18th International Congress
31 | of Phonetic Sciences. University of Glasgow: Glasgow.
32 | http://www.icphs2015.info, ISSN: 241-0669, pp. 1-5.
33 | }
34 | \keyword{datasets}
35 |
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/untidydata.Rproj:
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1 | Version: 1.0
2 |
3 | RestoreWorkspace: Default
4 | SaveWorkspace: Default
5 | AlwaysSaveHistory: Default
6 |
7 | EnableCodeIndexing: Yes
8 | UseSpacesForTab: Yes
9 | NumSpacesForTab: 2
10 | Encoding: UTF-8
11 |
12 | RnwWeave: knitr
13 | LaTeX: pdfLaTeX
14 |
15 | AutoAppendNewline: Yes
16 |
17 | BuildType: Package
18 | PackageUseDevtools: Yes
19 | PackageInstallArgs: --no-multiarch --with-keep.source
20 | PackageRoxygenize: rd,collate,namespace
21 |
--------------------------------------------------------------------------------
116 |
159 |
160 |
161 |
171 |
117 |
122 |
123 |
153 |
158 |
124 |
133 |
134 | A dataset containing raw voice onset time (VOT) data in ms 125 | from three groups. This data was simulated in R based off 126 | the data set used in Casillas, Diaz, & Simonet (2015).
127 |Casillas, J. V., Diaz, Y. and Simonet, M. (2015). "Acoustics of 128 | Spanish and English coronal stops". In ICPhS 18. Ed. by T. S. C. 129 | for ICPhS 2015. Proceedings of the 18th International Congress 130 | of Phonetic Sciences. University of Glasgow: Glasgow. 131 | http://www.icphs2015.info, ISSN: 241-0669, pp. 1-5.
132 |vot
135 |
136 |
137 | Format
138 | 139 |A data frame with 720 rows and 5 variables:
-
140 |
- participant
subject id labels
141 | - language
language spoken, spanish/english
142 | - item
target word
143 | - repetition
iteration of item
144 | - vot
vot values, in ms
145 |
146 |