├── .Rbuildignore ├── .gitignore ├── DESCRIPTION ├── LICENSE ├── NAMESPACE ├── R ├── gardenR-package.R ├── garden_coords.R ├── garden_harvest.R ├── garden_planting.R ├── garden_spending.R ├── harvest_2021.R ├── planting_2021.R └── spending_2021.R ├── README.Rmd ├── README.md ├── data-raw ├── clean_garden_2020.R ├── clean_garden_2021.R └── clean_garden_coords.R ├── data ├── garden_coords.rda ├── garden_harvest.rda ├── garden_planting.rda ├── garden_spending.rda ├── harvest_2021.rda ├── planting_2021.rda └── spending_2021.rda ├── gardenR.Rproj └── man ├── figures ├── README-example-1.png ├── README-plot-1.png └── logo.png ├── gardenR-package.Rd ├── garden_coords.Rd ├── garden_harvest.Rd ├── garden_planting.Rd ├── garden_spending.Rd ├── harvest_2021.Rd ├── planting_2021.Rd └── spending_2021.Rd /.Rbuildignore: -------------------------------------------------------------------------------- 1 | ^.*\.Rproj$ 2 | ^\.Rproj\.user$ 3 | ^data-raw$ 4 | ^README\.Rmd$ 5 | -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | .Rproj.user 2 | .Rhistory 3 | .RData 4 | .Ruserdata 5 | -------------------------------------------------------------------------------- /DESCRIPTION: -------------------------------------------------------------------------------- 1 | Package: gardenR 2 | Title: Data Package With Data From Lisa Lendway's Garden 3 | Version: 1.0.0 4 | Author: person("Lisa", 5 | "Lendway", 6 | "lisalendway@gmail.com", 7 | role = c("aut", "cre"), 8 | comment = c(ORCID = "https://orcid.org/0000-0002-6660-8911")) 9 | Maintainer: Lisa Lendway 10 | Description: This is a data package with datasets recorded manually by Lisa Lendway. 11 | License: MIT + file LICENSE 12 | Encoding: UTF-8 13 | LazyData: true 14 | Depends: R (>= 3.1.0) 15 | RoxygenNote: 7.1.1 16 | Imports: 17 | tibble 18 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | YEAR: 2020 2 | COPYRIGHT HOLDER: Lisa Lendway 3 | -------------------------------------------------------------------------------- /NAMESPACE: -------------------------------------------------------------------------------- 1 | exportPattern("^[[:alpha:]]+") 2 | -------------------------------------------------------------------------------- /R/gardenR-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 | #' @importFrom tibble tibble 8 | ## usethis namespace: end 9 | NULL 10 | -------------------------------------------------------------------------------- /R/garden_coords.R: -------------------------------------------------------------------------------- 1 | #' Data from Lisa Lendway's backyard garden 2 | #' 3 | #' During the summer of 2020, Dr. Lisa Lendway decided it would be fun to collect data on the vegetables she harvested from her backyard garden, which she fondly calls the "jungle garden." This dataset gives coordinates for the vertices of the plots in the garden. 4 | #' @format A tibble with 76 rows and 3 variables: 5 | #' \describe{ 6 | #' \item{plot}{label of plot where vegetables were planted} 7 | #' \item{x}{x coordinate for a vertex of a plot} 8 | #' \item{y}{y coordinate for a vertex of a plot} 9 | #' } 10 | #' @source Manually collected by Lisa Lendway, initially in a Google sheet. 11 | "garden_coords" 12 | -------------------------------------------------------------------------------- /R/garden_harvest.R: -------------------------------------------------------------------------------- 1 | #' Data from Lisa Lendway's backyard garden 2 | #' 3 | #' During the summer of 2020, Dr. Lisa Lendway decided it would be fun to collect data on the vegetables she harvested from her backyard garden, which she fondly calls the "jungle garden." Each row is a "harvest" of a particular vegetable variety. So, each time she harvested a particular vegetable/variety combination, she weighed the entire harvest. There could be multiple harvests of a vegetable/variety combination in a single day. There are two exceptions: all pumpkin and winter squash (vegetable = "squash") were weighed individually. 4 | #' 5 | #' @format A tibble with 781 rows and 5 variables: 6 | #' \describe{ 7 | #' \item{vegetable}{type of vegetable harvested} 8 | #' \item{variety}{variety of vegetable harvested, usually according to the information on the seed package, but sometimes inferred by Lisa and sometimes unknown or reseeded from last year's plants} 9 | #' \item{date}{date the vegetable was harvested} 10 | #' \item{weight}{weight harvested in grams} 11 | #' \item{units}{all "grams" - this variable was originally created in case larger vegetables were weighed in other units but there was no need} 12 | #' } 13 | #' @source Manually collected by Lisa Lendway, initially in a Google sheet. 14 | "garden_harvest" 15 | -------------------------------------------------------------------------------- /R/garden_planting.R: -------------------------------------------------------------------------------- 1 | #' Data from Lisa Lendway's backyard garden 2 | #' 3 | #' During the summer of 2020, Dr. Lisa Lendway decided it would be fun to collect data on the vegetables she harvested from her backyard garden, which she fondly calls the "jungle garden." The rows represent the planting of a vegetable variety. There could be multiple rows for the same vegetable variety, if they were planted on the same day in different plots or on different days. 4 | #' 5 | #' @format A tibble with 93 rows and 7 variables: 6 | #' \describe{ 7 | #' \item{plot}{label of plot where vegetables were planted - see garden_coords dataset for more info} 8 | #' \item{vegetable}{type of vegetable planted} 9 | #' \item{variety}{variety of vegetable planted, usually according to the information on the seed package, but sometimes inferred by Lisa and sometimes unknown or reseeded from last year's plants} 10 | #' \item{number_seeds_planted}{the exact number or a guess at how many seeds/plants were planted} 11 | #' \item{date}{date the vegetable was planted} 12 | #' \item{number_seeds_exact}{if number_seeds_planted is exact, this is TRUE; if it was a guess, then this is FALSE} 13 | #' \item{notes}{mostly missing but intially created just in case} 14 | #' } 15 | #' @source Manually collected by Lisa Lendway, initially in a Google sheet. 16 | "garden_planting" 17 | -------------------------------------------------------------------------------- /R/garden_spending.R: -------------------------------------------------------------------------------- 1 | #' Data from Lisa Lendway's backyard garden 2 | #' 3 | #' During the summer of 2020, Dr. Lisa Lendway decided it would be fun to collect data on the vegetables she harvested from her backyard garden, which she fondly calls the "jungle garden." This dataset summarizes how much was spent on gardening materials. 4 | #' @format A tibble with 65 rows and 6 variables: 5 | #' \describe{ 6 | #' \item{vegetable}{type of vegetable seed/plant OR other supply type, ie. dirt} 7 | #' \item{variety}{variety of vegetable seed/plant OR further description of other product} 8 | #' \item{brand}{brand of seed or plant} 9 | #' \item{eggplant_item_number}{item number of item at Eggplant, the store where most of the seeds were purchased} 10 | #' \item{price}{raw price - no taxes} 11 | #' \item{price_with_tax}{price with taxes} 12 | #' } 13 | #' @source Manually collected by Lisa Lendway, initially in a Google sheet. 14 | "garden_spending" 15 | -------------------------------------------------------------------------------- /R/harvest_2021.R: -------------------------------------------------------------------------------- 1 | #' Data from Lisa Lendway's backyard garden 2 | #' 3 | #' See documentation for the garden_harvest dataset for more detail. Each row is a "harvest" of a particular vegetable variety. So, each time she harvested a particular vegetable/variety combination, she weighed the entire harvest. There could be multiple harvests of a vegetable/variety combination in a single day. There are two exceptions: all pumpkin and winter squash (vegetable = "squash") were weighed individually. 4 | #' 5 | #' @format A tibble with 726 rows and 5 variables: 6 | #' \describe{ 7 | #' \item{vegetable}{type of vegetable harvested} 8 | #' \item{variety}{variety of vegetable harvested, usually according to the information on the seed package, but sometimes inferred by Lisa and sometimes unknown or reseeded from last year's plants} 9 | #' \item{date}{date the vegetable was harvested} 10 | #' \item{weight}{weight harvested in grams} 11 | #' \item{units}{all "grams" - this variable was originally created in case larger vegetables were weighed in other units but there was no need} 12 | #' } 13 | #' @source Manually collected by Lisa Lendway, initially in a Google sheet. 14 | "harvest_2021" 15 | -------------------------------------------------------------------------------- /R/planting_2021.R: -------------------------------------------------------------------------------- 1 | #' Data from Lisa Lendway's backyard garden, summer 2021 2 | #' 3 | #' See documentation for the garden_planting dataset for more detail. The rows represent the planting of a vegetable variety. There could be multiple rows for the same vegetable variety, if they were planted on the same day in different plots or on different days. 4 | #' 5 | #' @format A tibble with 102 rows and 7 variables: 6 | #' \describe{ 7 | #' \item{plot}{label of plot where vegetables were planted - see garden_coords dataset for more info} 8 | #' \item{vegetable}{type of vegetable planted} 9 | #' \item{variety}{variety of vegetable planted, usually according to the information on the seed package, but sometimes inferred by Lisa and sometimes unknown or reseeded from last year's plants} 10 | #' \item{number_seeds_planted}{the exact number or a guess at how many seeds/plants were planted} 11 | #' \item{date}{date the vegetable was planted} 12 | #' \item{number_seeds_exact}{if number_seeds_planted is exact, this is TRUE; if it was a guess, then this is FALSE} 13 | #' \item{notes}{mostly missing but intially created just in case} 14 | #' } 15 | #' @source Manually collected by Lisa Lendway, initially in a Google sheet. 16 | "planting_2021" 17 | -------------------------------------------------------------------------------- /R/spending_2021.R: -------------------------------------------------------------------------------- 1 | #' Data from Lisa Lendway's backyard garden 2 | #' 3 | #' See documentation for the garden_spending dataset for more detail. This dataset summarizes how much was spent on gardening materials. 4 | #' @format A tibble with 18 rows and 5 variables: 5 | #' \describe{ 6 | #' \item{vegetable}{type of vegetable seed/plant OR other supply type, ie. dirt} 7 | #' \item{variety}{variety of vegetable seed/plant OR further description of other product} 8 | #' \item{brand}{brand of seed or plant} 9 | #' \item{price}{raw price - no taxes} 10 | #' \item{price_with_tax}{price with taxes} 11 | #' } 12 | #' @source Manually collected by Lisa Lendway, initially in a Google sheet. 13 | "spending_2021" 14 | -------------------------------------------------------------------------------- /README.Rmd: -------------------------------------------------------------------------------- 1 | --- 2 | output: github_document 3 | --- 4 | 5 | 6 | 7 | ```{r, include = FALSE} 8 | knitr::opts_chunk$set( 9 | collapse = TRUE, 10 | comment = "#>", 11 | message = FALSE, 12 | fig.path = "man/figures/README-", 13 | out.width = "100%" 14 | ) 15 | ``` 16 | 17 | # gardenR 18 | 19 | The `gardenR` package contains data collected by Lisa Lendway from her vegetable garden, starting in the summer of 2020. Data from the summer of 2021 was added 2022-01-29 (finally!). The data were used in her Introduction to Data Science course at Macalester College to introduce many concepts. For examples, see the [tutorials for the course](https://ds112-lendway.netlify.app/). 20 | 21 | If you'd like a visual tour of the garden, check out this [YouTube video](https://www.youtube.com/embed/iGMgLFIiSxo). 22 | 23 | ## Installation 24 | 25 | You can install the development version from [GitHub](https://github.com/) with: 26 | 27 | ``` r 28 | # install.packages("devtools") 29 | devtools::install_github("llendway/gardenR") 30 | ``` 31 | ## Datasets 32 | 33 | `garden_coords`: This dataset gives coordinates for the vertices of the plots in the garden. 34 | 35 | ### 2020 (first year I collected data) 36 | 37 | `garden_harvest`: Each row is a "harvest" of a particular vegetable variety. So, each time she harvested a particular vegetable/variety combination, she weighed the entire harvest. There could be multiple harvests of a vegetable/variety combination in a single day. There are two exceptions: all pumpkin and winter squash (vegetable = "squash") were weighed individually. 38 | 39 | `garden_spending`: summarizes how much was spent on gardening materials. 40 | 41 | `garden_planting`: The rows represent the planting of a vegetable variety. There could be multiple rows for the same vegetable variety, if they were planted on the same day in different plots or on different days. 42 | 43 | ### 2021 44 | 45 | `harvest_2021`: Similar to `garden_harvest` but for 2021. 46 | 47 | `spending_2021`: Similar to `garden_spending` but for 2021. 48 | 49 | `planting_2021`: Similar to `garden_planting` but for 2021. 50 | 51 | ## Example 52 | 53 | Here is a representation of the plots in the garden - like a bird's eye view of the garden. 54 | 55 | ```{r plot, fig.width=3, fig.height=4} 56 | library(gardenR) 57 | library(tidyverse) 58 | 59 | for_labs <- garden_coords %>% 60 | group_by(plot) %>% 61 | summarize(x = mean(x), 62 | y = mean(y)) 63 | 64 | garden_coords %>% 65 | ggplot(aes(x = x, y = y, group = plot)) + 66 | geom_polygon() + 67 | geom_text(data = for_labs, 68 | aes(x = x, y = y, label = plot), 69 | color = "hotpink", 70 | size = 5) + 71 | theme_void() + 72 | theme(panel.background = element_rect(fill = "lightgray")) 73 | ``` 74 | 75 | 76 | Here is one example plot, using the `garden_harvest` data. 77 | 78 | ```{r example} 79 | garden_harvest %>% 80 | filter(vegetable == "tomatoes") %>% 81 | group_by(date) %>% 82 | summarize(daily_wt_g = sum(weight)) %>% 83 | ggplot(aes(x = date, y = daily_wt_g)) + 84 | geom_point(color = "darkred") + 85 | geom_line(color = "darkred") + 86 | labs(title = "2020 daily tomato harvest (g)", 87 | x = "", 88 | y = "") + 89 | theme_minimal() 90 | ``` 91 | 92 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | # gardenR 5 | 6 | The `gardenR` package contains data collected by Lisa Lendway from her 7 | vegetable garden, starting in the summer of 2020. Data from the summer 8 | of 2021 was added 2022-01-29 (finally!). The data were used in her 9 | Introduction to Data Science course at Macalester College to introduce 10 | many concepts. For examples, see the [tutorials for the 11 | course](https://ds112-lendway.netlify.app/). 12 | 13 | If you’d like a visual tour of the garden, check out this [YouTube 14 | video](https://www.youtube.com/embed/iGMgLFIiSxo). 15 | 16 | ## Installation 17 | 18 | You can install the development version from 19 | [GitHub](https://github.com/) with: 20 | 21 | ``` r 22 | # install.packages("devtools") 23 | devtools::install_github("llendway/gardenR") 24 | ``` 25 | 26 | ## Datasets 27 | 28 | `garden_coords`: This dataset gives coordinates for the vertices of the 29 | plots in the garden. 30 | 31 | ### 2020 (first year I collected data) 32 | 33 | `garden_harvest`: Each row is a “harvest” of a particular vegetable 34 | variety. So, each time she harvested a particular vegetable/variety 35 | combination, she weighed the entire harvest. There could be multiple 36 | harvests of a vegetable/variety combination in a single day. There are 37 | two exceptions: all pumpkin and winter squash (vegetable = “squash”) 38 | were weighed individually. 39 | 40 | `garden_spending`: summarizes how much was spent on gardening materials. 41 | 42 | `garden_planting`: The rows represent the planting of a vegetable 43 | variety. There could be multiple rows for the same vegetable variety, if 44 | they were planted on the same day in different plots or on different 45 | days. 46 | 47 | ### 2021 48 | 49 | `harvest_2021`: Similar to `garden_harvest` but for 2021. 50 | 51 | `spending_2021`: Similar to `garden_spending` but for 2021. 52 | 53 | `planting_2021`: Similar to `garden_planting` but for 2021. 54 | 55 | ## Example 56 | 57 | Here is a representation of the plots in the garden - like a bird’s eye 58 | view of the garden. 59 | 60 | ``` r 61 | library(gardenR) 62 | library(tidyverse) 63 | 64 | for_labs <- garden_coords %>% 65 | group_by(plot) %>% 66 | summarize(x = mean(x), 67 | y = mean(y)) 68 | 69 | garden_coords %>% 70 | ggplot(aes(x = x, y = y, group = plot)) + 71 | geom_polygon() + 72 | geom_text(data = for_labs, 73 | aes(x = x, y = y, label = plot), 74 | color = "hotpink", 75 | size = 5) + 76 | theme_void() + 77 | theme(panel.background = element_rect(fill = "lightgray")) 78 | ``` 79 | 80 | 81 | 82 | Here is one example plot, using the `garden_harvest` data. 83 | 84 | ``` r 85 | garden_harvest %>% 86 | filter(vegetable == "tomatoes") %>% 87 | group_by(date) %>% 88 | summarize(daily_wt_g = sum(weight)) %>% 89 | ggplot(aes(x = date, y = daily_wt_g)) + 90 | geom_point(color = "darkred") + 91 | geom_line(color = "darkred") + 92 | labs(title = "2020 daily tomato harvest (g)", 93 | x = "", 94 | y = "") + 95 | theme_minimal() 96 | ``` 97 | 98 | 99 | -------------------------------------------------------------------------------- /data-raw/clean_garden_2020.R: -------------------------------------------------------------------------------- 1 | ## code to prepare 2020 garden datasets 2 | 3 | library(googlesheets4) 4 | library(tidyverse) 5 | library(lubridate) 6 | gs4_deauth() 7 | 8 | garden_harvest <- read_sheet("https://docs.google.com/spreadsheets/d/1DekSazCzKqPS2jnGhKue7tLxRU3GVL1oxi-4bEM5IWw/edit?usp=sharing") %>% 9 | mutate(date = ymd(date)) 10 | 11 | garden_planting <- read_sheet("https://docs.google.com/spreadsheets/d/11YH0NtXQTncQbUse5wOsTtLSKAiNogjUA21jnX5Pnl4/edit?usp=sharing", 12 | na = c("", "NA")) %>% 13 | mutate(date = ymd(date)) 14 | 15 | garden_spending <- read_sheet("https://docs.google.com/spreadsheets/d/1dPVHwZgR9BxpigbHLnA0U99TtVHHQtUzNB9UR0wvb7o/edit?usp=sharing", 16 | col_types = "ccccnn") 17 | 18 | usethis::use_data(garden_harvest, overwrite = TRUE) 19 | usethis::use_data(garden_planting, overwrite = TRUE) 20 | usethis::use_data(garden_spending, overwrite = TRUE) 21 | 22 | -------------------------------------------------------------------------------- /data-raw/clean_garden_2021.R: -------------------------------------------------------------------------------- 1 | ## code to prepare 2021 garden datasets 2 | 3 | library(googlesheets4) 4 | library(tidyverse) 5 | library(lubridate) 6 | gs4_deauth() 7 | 8 | harvest_2021 <- read_sheet("https://docs.google.com/spreadsheets/d/1DU6dpxrbPGW2oJHQ6TG_xibazoGhvmRcqk2iPGOaRUI/edit?usp=sharing", 9 | na = c("", "NA")) %>% 10 | mutate(date = ymd(date)) 11 | 12 | planting_2021 <- read_sheet("https://docs.google.com/spreadsheets/d/1osZ-chY3inHyOAdyYV8iR76_wQ5trP6RhqbCeq-UY_c/edit?usp=sharing", 13 | na = c("", "NA")) %>% 14 | mutate(date = ymd(date)) 15 | 16 | spending_2021 <- read_sheet("https://docs.google.com/spreadsheets/d/1SHHVV9VLzWcKpunbDxyrUTQ8m1I0g5XSLr462363mQQ/edit?usp=sharing", 17 | na = c("", "NA")) 18 | 19 | usethis::use_data(harvest_2021, overwrite = TRUE) 20 | usethis::use_data(planting_2021, overwrite = TRUE) 21 | usethis::use_data(spending_2021, overwrite = TRUE) 22 | 23 | -------------------------------------------------------------------------------- /data-raw/clean_garden_coords.R: -------------------------------------------------------------------------------- 1 | ## code to prepare `garden_planting` dataset 2 | 3 | library(googlesheets4) 4 | library(tidyverse) 5 | gs4_deauth() 6 | 7 | garden_coords <- read_sheet("https://docs.google.com/spreadsheets/d/1jg6TTJWZhzaUo2WvW30g3bHbNPA4RD5nNs8l0HNSiaM/edit?usp=sharing") 8 | 9 | usethis::use_data(garden_coords, overwrite = TRUE) 10 | -------------------------------------------------------------------------------- /data/garden_coords.rda: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/llendway/gardenR/7c7bde66ca6274cc08be2e4e7c02beee15b2f960/data/garden_coords.rda -------------------------------------------------------------------------------- /data/garden_harvest.rda: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/llendway/gardenR/7c7bde66ca6274cc08be2e4e7c02beee15b2f960/data/garden_harvest.rda -------------------------------------------------------------------------------- /data/garden_planting.rda: -------------------------------------------------------------------------------- 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-------------------------------------------------------------------------------- /man/gardenR-package.Rd: -------------------------------------------------------------------------------- 1 | % Generated by roxygen2: do not edit by hand 2 | % Please edit documentation in R/gardenR-package.R 3 | \docType{package} 4 | \name{gardenR-package} 5 | \alias{gardenR} 6 | \alias{gardenR-package} 7 | \title{gardenR: Data Package With Data From Lisa Lendway's Garden} 8 | \description{ 9 | \if{html}{\figure{logo.png}{options: align='right' alt='logo' width='120'}} 10 | 11 | This is a data package with datasets recorded manually by Lisa Lendway. 12 | } 13 | \keyword{internal} 14 | -------------------------------------------------------------------------------- /man/garden_coords.Rd: -------------------------------------------------------------------------------- 1 | % Generated by roxygen2: do not edit by hand 2 | % Please edit documentation in R/garden_coords.R 3 | \docType{data} 4 | \name{garden_coords} 5 | \alias{garden_coords} 6 | \title{Data from Lisa Lendway's backyard garden} 7 | \format{ 8 | A tibble with 76 rows and 3 variables: 9 | \describe{ 10 | \item{plot}{label of plot where vegetables were planted} 11 | \item{x}{x coordinate for a vertex of a plot} 12 | \item{y}{y coordinate for a vertex of a plot} 13 | } 14 | } 15 | \source{ 16 | Manually collected by Lisa Lendway, initially in a Google sheet. 17 | } 18 | \usage{ 19 | garden_coords 20 | } 21 | \description{ 22 | During the summer of 2020, Dr. Lisa Lendway decided it would be fun to collect data on the vegetables she harvested from her backyard garden, which she fondly calls the "jungle garden." This dataset gives coordinates for the vertices of the plots in the garden. 23 | } 24 | \keyword{datasets} 25 | -------------------------------------------------------------------------------- /man/garden_harvest.Rd: -------------------------------------------------------------------------------- 1 | % Generated by roxygen2: do not edit by hand 2 | % Please edit documentation in R/garden_harvest.R 3 | \docType{data} 4 | \name{garden_harvest} 5 | \alias{garden_harvest} 6 | \title{Data from Lisa Lendway's backyard garden} 7 | \format{ 8 | A tibble with 781 rows and 5 variables: 9 | \describe{ 10 | \item{vegetable}{type of vegetable harvested} 11 | \item{variety}{variety of vegetable harvested, usually according to the information on the seed package, but sometimes inferred by Lisa and sometimes unknown or reseeded from last year's plants} 12 | \item{date}{date the vegetable was harvested} 13 | \item{weight}{weight harvested in grams} 14 | \item{units}{all "grams" - this variable was originally created in case larger vegetables were weighed in other units but there was no need} 15 | } 16 | } 17 | \source{ 18 | Manually collected by Lisa Lendway, initially in a Google sheet. 19 | } 20 | \usage{ 21 | garden_harvest 22 | } 23 | \description{ 24 | During the summer of 2020, Dr. Lisa Lendway decided it would be fun to collect data on the vegetables she harvested from her backyard garden, which she fondly calls the "jungle garden." Each row is a "harvest" of a particular vegetable variety. So, each time she harvested a particular vegetable/variety combination, she weighed the entire harvest. There could be multiple harvests of a vegetable/variety combination in a single day. There are two exceptions: all pumpkin and winter squash (vegetable = "squash") were weighed individually. 25 | } 26 | \keyword{datasets} 27 | -------------------------------------------------------------------------------- /man/garden_planting.Rd: -------------------------------------------------------------------------------- 1 | % Generated by roxygen2: do not edit by hand 2 | % Please edit documentation in R/garden_planting.R 3 | \docType{data} 4 | \name{garden_planting} 5 | \alias{garden_planting} 6 | \title{Data from Lisa Lendway's backyard garden} 7 | \format{ 8 | A tibble with 93 rows and 7 variables: 9 | \describe{ 10 | \item{plot}{label of plot where vegetables were planted - see garden_coords dataset for more info} 11 | \item{vegetable}{type of vegetable planted} 12 | \item{variety}{variety of vegetable planted, usually according to the information on the seed package, but sometimes inferred by Lisa and sometimes unknown or reseeded from last year's plants} 13 | \item{number_seeds_planted}{the exact number or a guess at how many seeds/plants were planted} 14 | \item{date}{date the vegetable was planted} 15 | \item{number_seeds_exact}{if number_seeds_planted is exact, this is TRUE; if it was a guess, then this is FALSE} 16 | \item{notes}{mostly missing but intially created just in case} 17 | } 18 | } 19 | \source{ 20 | Manually collected by Lisa Lendway, initially in a Google sheet. 21 | } 22 | \usage{ 23 | garden_planting 24 | } 25 | \description{ 26 | During the summer of 2020, Dr. Lisa Lendway decided it would be fun to collect data on the vegetables she harvested from her backyard garden, which she fondly calls the "jungle garden." The rows represent the planting of a vegetable variety. There could be multiple rows for the same vegetable variety, if they were planted on the same day in different plots or on different days. 27 | } 28 | \keyword{datasets} 29 | -------------------------------------------------------------------------------- /man/garden_spending.Rd: -------------------------------------------------------------------------------- 1 | % Generated by roxygen2: do not edit by hand 2 | % Please edit documentation in R/garden_spending.R 3 | \docType{data} 4 | \name{garden_spending} 5 | \alias{garden_spending} 6 | \title{Data from Lisa Lendway's backyard garden} 7 | \format{ 8 | A tibble with 65 rows and 6 variables: 9 | \describe{ 10 | \item{vegetable}{type of vegetable seed/plant OR other supply type, ie. dirt} 11 | \item{variety}{variety of vegetable seed/plant OR further description of other product} 12 | \item{brand}{brand of seed or plant} 13 | \item{eggplant_item_number}{item number of item at Eggplant, the store where most of the seeds were purchased} 14 | \item{price}{raw price - no taxes} 15 | \item{price_with_tax}{price with taxes} 16 | } 17 | } 18 | \source{ 19 | Manually collected by Lisa Lendway, initially in a Google sheet. 20 | } 21 | \usage{ 22 | garden_spending 23 | } 24 | \description{ 25 | During the summer of 2020, Dr. Lisa Lendway decided it would be fun to collect data on the vegetables she harvested from her backyard garden, which she fondly calls the "jungle garden." This dataset summarizes how much was spent on gardening materials. 26 | } 27 | \keyword{datasets} 28 | -------------------------------------------------------------------------------- /man/harvest_2021.Rd: -------------------------------------------------------------------------------- 1 | % Generated by roxygen2: do not edit by hand 2 | % Please edit documentation in R/harvest_2021.R 3 | \docType{data} 4 | \name{harvest_2021} 5 | \alias{harvest_2021} 6 | \title{Data from Lisa Lendway's backyard garden} 7 | \format{ 8 | A tibble with 726 rows and 5 variables: 9 | \describe{ 10 | \item{vegetable}{type of vegetable harvested} 11 | \item{variety}{variety of vegetable harvested, usually according to the information on the seed package, but sometimes inferred by Lisa and sometimes unknown or reseeded from last year's plants} 12 | \item{date}{date the vegetable was harvested} 13 | \item{weight}{weight harvested in grams} 14 | \item{units}{all "grams" - this variable was originally created in case larger vegetables were weighed in other units but there was no need} 15 | } 16 | } 17 | \source{ 18 | Manually collected by Lisa Lendway, initially in a Google sheet. 19 | } 20 | \usage{ 21 | harvest_2021 22 | } 23 | \description{ 24 | See documentation for the garden_harvest dataset for more detail. Each row is a "harvest" of a particular vegetable variety. So, each time she harvested a particular vegetable/variety combination, she weighed the entire harvest. There could be multiple harvests of a vegetable/variety combination in a single day. There are two exceptions: all pumpkin and winter squash (vegetable = "squash") were weighed individually. 25 | } 26 | \keyword{datasets} 27 | -------------------------------------------------------------------------------- /man/planting_2021.Rd: -------------------------------------------------------------------------------- 1 | % Generated by roxygen2: do not edit by hand 2 | % Please edit documentation in R/planting_2021.R 3 | \docType{data} 4 | \name{planting_2021} 5 | \alias{planting_2021} 6 | \title{Data from Lisa Lendway's backyard garden, summer 2021} 7 | \format{ 8 | A tibble with 102 rows and 7 variables: 9 | \describe{ 10 | \item{plot}{label of plot where vegetables were planted - see garden_coords dataset for more info} 11 | \item{vegetable}{type of vegetable planted} 12 | \item{variety}{variety of vegetable planted, usually according to the information on the seed package, but sometimes inferred by Lisa and sometimes unknown or reseeded from last year's plants} 13 | \item{number_seeds_planted}{the exact number or a guess at how many seeds/plants were planted} 14 | \item{date}{date the vegetable was planted} 15 | \item{number_seeds_exact}{if number_seeds_planted is exact, this is TRUE; if it was a guess, then this is FALSE} 16 | \item{notes}{mostly missing but intially created just in case} 17 | } 18 | } 19 | \source{ 20 | Manually collected by Lisa Lendway, initially in a Google sheet. 21 | } 22 | \usage{ 23 | planting_2021 24 | } 25 | \description{ 26 | See documentation for the garden_planting dataset for more detail. The rows represent the planting of a vegetable variety. There could be multiple rows for the same vegetable variety, if they were planted on the same day in different plots or on different days. 27 | } 28 | \keyword{datasets} 29 | -------------------------------------------------------------------------------- /man/spending_2021.Rd: -------------------------------------------------------------------------------- 1 | % Generated by roxygen2: do not edit by hand 2 | % Please edit documentation in R/spending_2021.R 3 | \docType{data} 4 | \name{spending_2021} 5 | \alias{spending_2021} 6 | \title{Data from Lisa Lendway's backyard garden} 7 | \format{ 8 | A tibble with 18 rows and 5 variables: 9 | \describe{ 10 | \item{vegetable}{type of vegetable seed/plant OR other supply type, ie. dirt} 11 | \item{variety}{variety of vegetable seed/plant OR further description of other product} 12 | \item{brand}{brand of seed or plant} 13 | \item{price}{raw price - no taxes} 14 | \item{price_with_tax}{price with taxes} 15 | } 16 | } 17 | \source{ 18 | Manually collected by Lisa Lendway, initially in a Google sheet. 19 | } 20 | \usage{ 21 | spending_2021 22 | } 23 | \description{ 24 | See documentation for the garden_spending dataset for more detail. This dataset summarizes how much was spent on gardening materials. 25 | } 26 | \keyword{datasets} 27 | --------------------------------------------------------------------------------