introduction
data
functions
functions by package
references
I’ll sometimes recall that I used a particular data set or function in a tutorial but can’t remember which one. This index is meant to help us find at least one tutorial in which a function or data set is used.
| item | package | tutorials | class | dimension | title |
|---|---|---|---|---|---|
| airquality | datasets | line graph, strip plot | data.frame | 153x6 | New York Air Quality Measurements |
| Alligator | vcdExtra | multiway | data.frame | 80x5 | Alligator Food Choice |
| bank | gclus | parallel coordinate, scatterplot matrix | data.frame | 200x7 | Swiss bank notes data |
| biopics | fivethirtyeight | misc data carpentry | data.frame | 761x14 | ‘Straight Outta Compton’ Is The Rare Biopic Not About White Dudes |
| blood | astsa | line graph | ts | 91x3 | Daily Blood Work |
| case1202 | Sleuth2 | scatterplot matrix | data.frame | 93x7 | Sex discrimination in Employment |
| county_income | graphclassmate | dot plot | data.frame | 3220x4 | Median income by US county in 2016 |
| CPI | correcting graphical lies | ||||
| diamonds | ggplot2 | boxplot | data.frame | 53940x10 | Prices of 50,000 round cut diamonds |
| economics | ggplot2 | correcting graphical lies, time series data | data.frame | 574x6 | US economic time series |
| flights | nycflights13 | line graph | data.frame | 336776x19 | Flights data |
| gapminder | gapminder | graph basics, working with factors | data.frame | 1704x6 | Gapminder data. |
| hate crimes | correcting graphical lies | ||||
| infant_mortality | graphclassmate | dot plot | data.frame | 12120x6 | Infant mortality in the US, 2007-2016 |
| jj | astsa | line graph | ts | 84 | Johnson and Johnson Quarterly Earnings Per Share |
| LakeHuron | datasets | time series data | ts | 98 | Level of Lake Huron 1875-1972 |
| lap | astsa | time series data | ts | 508x11 | LA Pollution-Mortality Study |
| metro_pop | graphclassmate | multiway | data.frame | 60x3 | Population in the NY metro area |
| midfielddegrees | midfielddata | carpentry with joins | data.frame | 97640x5 | Graduation data for 98,000 undergraduates |
| midfieldstudents | midfielddata | carpentry with joins | data.frame | 97640x15 | Demographic data for 98,000 undergraduates |
| museum_exhibits | graphclassmate | strip plot | data.frame | 588x2 | Visit duration at museum exhibitions |
| Nightingale | HistData | line graph | data.frame | 24x10 | Florence Nightingale’s data on deaths from various causes in the Crimean War |
| nontraditional | graphclassmate | boxplot, dot plot, working with factors | data.frame | 269057x5 | Nontraditional and traditional undergraduates |
| OECD housing | correcting graphical lies | ||||
| oly12 | VGAMdata | scatterplot | data.frame | 10384x14 | 2012 Summer Olympics: Individuals Data |
| prodn | astsa | time series data | ts | 372 | Monthly Federal Reserve Board Production Index |
| SpeedSki | GDAdata | boxplot, strip plot | data.frame | 91x10 | World Speed Skiing Competition, Verbier 21st April, 2011 |
| state.x77 | datasets | misc data carpentry, working with factors | matrix | 50x8 | US State Facts and Figures |
| titanic | socviz | data.frame | 4x4 | A table of survival rates from the Titanic | |
| ucb_admit | graphclassmate | multiway | data.frame | 12x4 | Student admissions at UC Berkeley |
| item | package | tutorials |
|---|---|---|
| .libPaths() | base | updating the R habitat |
| aes() | ggplot2 | graph basics |
| aggr() | VIM | misc data carpentry |
| all_equal() | dplyr | misc data carpentry, reshaping data |
| arrange() | dplyr | data studio |
| as.POSIXct() | base | time and dates |
| as_date() | lubridate | line graph, time and dates, time series data |
| attributes() | base | introducing factors |
| bind_rows() | dplyr | misc data carpentry |
| blocks_to_rowrecs() | cdata | reshaping data |
| build_frame() | wrapr | carpentry with joins, reshaping data |
| class() | base | introducing factors |
| complete() | tidyr | strip plot |
| complete.cases() | stats | dot plot, scatterplot |
| coord_flip() | ggplot2 | boxplot |
| count() | dplyr | carpentry with joins |
| cut() | base | misc data carpentry |
| data() | utils | data basics |
| date() | lubridate | working with factors |
| date_decimal() | lubridate | line graph, time and dates |
| decimal_date() | lubridate | time and dates |
| distinct() | dplyr | carpentry with joins, scatterplot |
| dmy() | lubridate | time and dates |
| download.file() | utils | correcting graphical lies, line graph |
| drop_na() | tidyr | reshaping data |
| everything() | tidyselect | dot plot |
| export() | rio | reshaping data |
| facet_grid() | ggplot2 | carpentry with joins, dot plot |
| facet_wrap() | ggplot2 | dot plot, graph basics, line graph |
| factor() | base | introducing factors, line graph |
| fct_drop() | forcats | working with factors |
| fct_recode() | forcats | working with factors |
| fct_reorder() | forcats | carpentry with joins, dot plot, working with factors |
| fct_rev() | forcats | working with factors |
| file.exists() | base | line graph |
| file.mtime() | base | line graph |
| filter() | dplyr | data studio, graph basics |
| geom_boxplot() | ggplot2 | boxplot |
| geom_jitter() | ggplot2 | dot plot, strip plot |
| geom_line() | ggplot2 | line graph, time series data |
| geom_point() | ggplot2 | graph basics, line graph |
| geom_segment() | ggplot2 | working with factors |
| geom_smooth() | ggplot2 | graph basics |
| geom_text() | ggplot2 | dot plot |
| geom_vline() | ggplot2 | correcting graphical lies |
| ggpairs() | GGally | scatterplot matrix |
| ggparcoord() | GGally | parallel coordinate |
| ggplot() | ggplot2 | graph basics |
| ggsave() | ggplot2 | graph basics |
| ggscatmat() | GGally | scatterplot matrix |
| glimpse() | tibble | graph basics |
| gpairs() | gpairs | scatterplot matrix |
| group_summarize() | seplyr | correcting graphical lies, dot plot, working with factors |
| guide_legend() | ggplot2 | boxplot, line graph |
| guides() | ggplot2 | boxplot, line graph |
| if_else() | dplyr | dot plot, line graph |
| image_annotate() | magick | dot plot |
| image_append() | magick | dot plot |
| image_blank() | magick | dot plot |
| image_border() | magick | dot plot |
| image_colorize() | magick | dot plot |
| image_contrast() | magick | dot plot |
| image_info() | magick | dot plot |
| image_modulate() | magick | dot plot |
| image_noise() | magick | dot plot |
| image_quantize() | magick | dot plot |
| image_read() | magick | dot plot |
| image_scale() | magick | dot plot |
| image_write | magick | dot plot |
| import() | rio | reshaping data |
| install.packages() | base | software studio, updating the R habitat |
| install_github() | devtools | software studio |
| IQR() | stats | boxplot |
| labs() | ggplot2 | graph basics |
| left_join() | dplyr | carpentry with joins, correcting graphical lies, dot plot |
| legend() | base | scatterplot matrix |
| levels() | base | introducing factors |
| ls() | base | interacting with R |
| ls.str() | base | interacting with R |
| make_date() | lubridate | line graph, time and dates |
| mdy() | lubridate | time and dates |
| mdy_hm() | lubridate | time and dates |
| month() | lubridate | correcting graphical lies |
| mutate() | dplyr | data studio, graph basics |
| names() | base | line graph |
| nlevels() | base | introducing factors |
| now() | lubridate | line graph |
| pairs() | base | scatterplot matrix |
| par() | base | scatterplot matrix |
| pivot_to_rowrecs() | cdata | dot plot, reshaping data |
| qchar_frame() | wrapr | misc data carpentry |
| quantile() | base | misc data carpentry |
| rcb() | graphclassmate | multiway |
| read.table() | utils | correcting graphical lies, data basics, line graph |
| read_csv() | readr | correcting graphical lies, data basics |
| read_excel() | readxl | data basics |
| readRDS() | base | strip plot |
| recode() | dplyr | dot plot |
| rename() | dplyr | carpentry with joins, correcting graphical lies, dot plot, strip plot, time series data |
| reorder() | stats | time series data |
| replace_na() | tidyr | working with factors |
| row.names() | base | reshaping data |
| rownames_to_column() | tibble | reshaping data |
| rowrecs_to_blocks() | cdata | reshaping data |
| sample_n() | dplyr | carpentry with joins |
| sapply() | base | scatterplot, working with factors |
| saveRDS() | base | strip plot |
| scagnostics() | scagnostics | parallel coordinate |
| scale_color_manual() | ggplot2 | strip plot |
| scale_fill_manual | ggplot2 | strip plot |
| scale_fill_manual() | ggplot2 | dot plot |
| scale_x_continuous() | ggplot2 | multiway |
| scale_x_date() | ggplot2 | line graph |
| scale_x_log10() | ggplot2 | graph basics |
| scatterplotMatrix() | car | scatterplot matrix |
| select() | dplyr | data studio |
| select(matches()) | dplyr | reshaping data |
| select_if() | dplyr | scatterplot |
| separate() | tidyr | reshaping data |
| seq() | base | install software, install software |
| sort() | base | introducing factors |
| str_c() | stringr | boxplot, carpentry with joins |
| str_remove_all() | stringr | carpentry with joins |
| str_replace() | stringr | reshaping data |
| str_starts() | stringr | carpentry with joins |
| str_sub() | stringr | carpentry with joins |
| summary() | base | graph basics |
| theme() | ggplot2 | dot plot, strip plot |
| theme_graphclass() | graphclassmate | graph basics |
| ts_df() | tsbox | time series data |
| typeof() | base | introducing factors |
| unclass() | base | introducing factors |
| ungroup() | dplyr | boxplot |
| unite() | tidyr | carpentry with joins |
| unloadNamespace() | base | misc data carpentry |
| unpivot_to_blocks() | cdata | line graph, reshaping data |
| update.packages() | base | updating the R habitat |
| update_packages() | devtools | updating the R habitat |
| weeks() | lubridate | line graph |
| year() | lubridate | correcting graphical lies, time series data |
| ymd() | lubridate | correcting graphical lies, time and dates |
| ymd_hm() | lubridate | time and dates |
| ymd_hms() | lubridate | time and dates |
| package | item | tutorials |
|---|---|---|
| base | .libPaths() | updating the R habitat |
| base | as.POSIXct() | time and dates |
| base | attributes() | introducing factors |
| base | class() | introducing factors |
| base | cut() | misc data carpentry |
| base | factor() | introducing factors, line graph |
| base | file.exists() | line graph |
| base | file.mtime() | line graph |
| base | install.packages() | software studio, updating the R habitat |
| base | legend() | scatterplot matrix |
| base | levels() | introducing factors |
| base | ls() | interacting with R |
| base | ls.str() | interacting with R |
| base | names() | line graph |
| base | nlevels() | introducing factors |
| base | pairs() | scatterplot matrix |
| base | par() | scatterplot matrix |
| base | quantile() | misc data carpentry |
| base | readRDS() | strip plot |
| base | row.names() | reshaping data |
| base | sapply() | scatterplot, working with factors |
| base | saveRDS() | strip plot |
| base | seq() | install software, install software |
| base | sort() | introducing factors |
| base | summary() | graph basics |
| base | typeof() | introducing factors |
| base | unclass() | introducing factors |
| base | unloadNamespace() | misc data carpentry |
| base | update.packages() | updating the R habitat |
| car | scatterplotMatrix() | scatterplot matrix |
| cdata | blocks_to_rowrecs() | reshaping data |
| cdata | pivot_to_rowrecs() | dot plot, reshaping data |
| cdata | rowrecs_to_blocks() | reshaping data |
| cdata | unpivot_to_blocks() | line graph, reshaping data |
| devtools | install_github() | software studio |
| devtools | update_packages() | updating the R habitat |
| dplyr | all_equal() | misc data carpentry, reshaping data |
| dplyr | arrange() | data studio |
| dplyr | bind_rows() | misc data carpentry |
| dplyr | count() | carpentry with joins |
| dplyr | distinct() | carpentry with joins, scatterplot |
| dplyr | filter() | data studio, graph basics |
| dplyr | if_else() | dot plot, line graph |
| dplyr | left_join() | carpentry with joins, correcting graphical lies, dot plot |
| dplyr | mutate() | data studio, graph basics |
| dplyr | recode() | dot plot |
| dplyr | rename() | carpentry with joins, correcting graphical lies, dot plot, strip plot, time series data |
| dplyr | sample_n() | carpentry with joins |
| dplyr | select() | data studio |
| dplyr | select(matches()) | reshaping data |
| dplyr | select_if() | scatterplot |
| dplyr | ungroup() | boxplot |
| forcats | fct_drop() | working with factors |
| forcats | fct_recode() | working with factors |
| forcats | fct_reorder() | carpentry with joins, dot plot, working with factors |
| forcats | fct_rev() | working with factors |
| GGally | ggpairs() | scatterplot matrix |
| GGally | ggparcoord() | parallel coordinate |
| GGally | ggscatmat() | scatterplot matrix |
| ggplot2 | aes() | graph basics |
| ggplot2 | coord_flip() | boxplot |
| ggplot2 | facet_grid() | carpentry with joins, dot plot |
| ggplot2 | facet_wrap() | dot plot, graph basics, line graph |
| ggplot2 | geom_boxplot() | boxplot |
| ggplot2 | geom_jitter() | dot plot, strip plot |
| ggplot2 | geom_line() | line graph, time series data |
| ggplot2 | geom_point() | graph basics, line graph |
| ggplot2 | geom_segment() | working with factors |
| ggplot2 | geom_smooth() | graph basics |
| ggplot2 | geom_text() | dot plot |
| ggplot2 | geom_vline() | correcting graphical lies |
| ggplot2 | ggplot() | graph basics |
| ggplot2 | ggsave() | graph basics |
| ggplot2 | guide_legend() | boxplot, line graph |
| ggplot2 | guides() | boxplot, line graph |
| ggplot2 | labs() | graph basics |
| ggplot2 | scale_color_manual() | strip plot |
| ggplot2 | scale_fill_manual | strip plot |
| ggplot2 | scale_fill_manual() | dot plot |
| ggplot2 | scale_x_continuous() | multiway |
| ggplot2 | scale_x_date() | line graph |
| ggplot2 | scale_x_log10() | graph basics |
| ggplot2 | theme() | dot plot, strip plot |
| gpairs | gpairs() | scatterplot matrix |
| graphclassmate | rcb() | multiway |
| graphclassmate | theme_graphclass() | graph basics |
| lubridate | as_date() | line graph, time and dates, time series data |
| lubridate | date() | working with factors |
| lubridate | date_decimal() | line graph, time and dates |
| lubridate | decimal_date() | time and dates |
| lubridate | dmy() | time and dates |
| lubridate | make_date() | line graph, time and dates |
| lubridate | mdy() | time and dates |
| lubridate | mdy_hm() | time and dates |
| lubridate | month() | correcting graphical lies |
| lubridate | now() | line graph |
| lubridate | weeks() | line graph |
| lubridate | year() | correcting graphical lies, time series data |
| lubridate | ymd() | correcting graphical lies, time and dates |
| lubridate | ymd_hm() | time and dates |
| lubridate | ymd_hms() | time and dates |
| magick | image_annotate() | dot plot |
| magick | image_append() | dot plot |
| magick | image_blank() | dot plot |
| magick | image_border() | dot plot |
| magick | image_colorize() | dot plot |
| magick | image_contrast() | dot plot |
| magick | image_info() | dot plot |
| magick | image_modulate() | dot plot |
| magick | image_noise() | dot plot |
| magick | image_quantize() | dot plot |
| magick | image_read() | dot plot |
| magick | image_scale() | dot plot |
| magick | image_write | dot plot |
| readr | read_csv() | correcting graphical lies, data basics |
| readxl | read_excel() | data basics |
| rio | export() | reshaping data |
| rio | import() | reshaping data |
| scagnostics | scagnostics() | parallel coordinate |
| seplyr | group_summarize() | correcting graphical lies, dot plot, working with factors |
| stats | complete.cases() | dot plot, scatterplot |
| stats | IQR() | boxplot |
| stats | reorder() | time series data |
| stringr | str_c() | boxplot, carpentry with joins |
| stringr | str_remove_all() | carpentry with joins |
| stringr | str_replace() | reshaping data |
| stringr | str_starts() | carpentry with joins |
| stringr | str_sub() | carpentry with joins |
| tibble | glimpse() | graph basics |
| tibble | rownames_to_column() | reshaping data |
| tidyr | complete() | strip plot |
| tidyr | drop_na() | reshaping data |
| tidyr | replace_na() | working with factors |
| tidyr | separate() | reshaping data |
| tidyr | unite() | carpentry with joins |
| tidyselect | everything() | dot plot |
| tsbox | ts_df() | time series data |
| utils | data() | data basics |
| utils | download.file() | correcting graphical lies, line graph |
| utils | read.table() | correcting graphical lies, data basics, line graph |
| VIM | aggr() | misc data carpentry |
| wrapr | build_frame() | carpentry with joins, reshaping data |
| wrapr | qchar_frame() | misc data carpentry |
Bryan J (2017) Gapminder: Data from gapminder. https://CRAN.R-project.org/package=gapminder
Chan C-h and Leeper TJ (2018) Rio: A swiss-army knife for data i/o. https://CRAN.R-project.org/package=rio
Emerson JW and Green WA (2014) Gpairs: The generalized pairs plot. https://CRAN.R-project.org/package=gpairs
Fox J, Weisberg S and Price B (2018) Car: Companion to applied regression. https://CRAN.R-project.org/package=car
Friendly M (2017) VcdExtra: ’Vcd’ extensions and additions. https://CRAN.R-project.org/package=vcdExtra
Friendly M (2018) HistData: Data sets from the history of statistics and data visualization. https://CRAN.R-project.org/package=HistData
Healy K (2019) Socviz: Utility functions and data sets for data visualization. https://github.com/kjhealy/socviz
Henry L and Wickham H (2018) Tidyselect: Select from a set of strings. https://CRAN.R-project.org/package=tidyselect
Hurley C (2019) Gclus: Clustering graphics. https://CRAN.R-project.org/package=gclus
Kim AY, Ismay C and Chunn J (2018) Fivethirtyeight: Data and code behind the stories and interactives at ’fivethirtyeight’. https://CRAN.R-project.org/package=fivethirtyeight
Layton R (2019) Graphclassmate: Companion materials for a course in data visualization. https://github.com/graphdr/graphclassmate
Layton R, Long R and Ohland M (2018) Midfielddata: Student record data for 98,000 undergraduates. https://github.com/MIDFIELDR/midfielddata
Mount J (2019) Seplyr: Improved standard evaluation interfaces for common data manipulation tasks. https://CRAN.R-project.org/package=seplyr
Mount J and Zumel N (2019a) Cdata: Fluid data transformations. https://CRAN.R-project.org/package=cdata
Mount J and Zumel N (2019b) Wrapr: Wrap r tools for debugging and parametric programming. https://CRAN.R-project.org/package=wrapr
Müller K and Wickham H (2019) Tibble: Simple data frames. https://CRAN.R-project.org/package=tibble
Ooms J (2018) Magick: Advanced graphics and image-processing in r. https://CRAN.R-project.org/package=magick
Ramsey FL, Schafer DW, Sifneos J and Turlach BA (2019) Sleuth2: Data sets from ramsey and schafer’s "statistical sleuth (2nd ed)". https://CRAN.R-project.org/package=Sleuth2
Sax C (2019) Tsbox: Class-agnostic time series. https://CRAN.R-project.org/package=tsbox
Schloerke B, Crowley J, Cook D, Briatte F, Marbach M, Thoen E, Elberg A and Larmarange J (2018) GGally: Extension to ’ggplot2’. https://CRAN.R-project.org/package=GGally
Spinu V, Grolemund G and Wickham H (2018) Lubridate: Make dealing with dates a little easier. https://CRAN.R-project.org/package=lubridate
Stoffer D (2017) Astsa: Applied statistical time series analysis. https://CRAN.R-project.org/package=astsa
Templ M, Kowarik A, Alfons A and Prantner B (2019) VIM: Visualization and imputation of missing values. https://CRAN.R-project.org/package=VIM
Unwin A (2015) GDAdata: Datasets for the book graphical data analysis with r. https://CRAN.R-project.org/package=GDAdata
Wickham H (2018) Nycflights13: Flights that departed nyc in 2013. https://CRAN.R-project.org/package=nycflights13
Wickham H (2019a) Forcats: Tools for working with categorical variables (factors). https://CRAN.R-project.org/package=forcats
Wickham H (2019b) Stringr: Simple, consistent wrappers for common string operations. https://CRAN.R-project.org/package=stringr
Wickham H and Bryan J (2019) Readxl: Read excel files. https://CRAN.R-project.org/package=readxl
Wickham H, Chang W, Henry L, Pedersen TL, Takahashi K, Wilke C and Woo K (2019) Ggplot2: Create elegant data visualisations using the grammar of graphics. https://CRAN.R-project.org/package=ggplot2
Wickham H, François R, Henry L and Müller K (2019) Dplyr: A grammar of data manipulation. https://CRAN.R-project.org/package=dplyr
Wickham H and Henry L (2019) Tidyr: Easily tidy data with ’spread()’ and ’gather()’ functions. https://CRAN.R-project.org/package=tidyr
Wickham H, Hester J and Chang W (2019) Devtools: Tools to make developing r packages easier. https://CRAN.R-project.org/package=devtools
Wickham H, Hester J and Francois R (2018) Readr: Read rectangular text data. https://CRAN.R-project.org/package=readr
Wilkinson L and Anand A (2018) Scagnostics: Compute scagnostics - scatterplot diagnostics. https://CRAN.R-project.org/package=scagnostics
Yee T (2017) VGAMdata: Data supporting the ’vgam’ package. https://CRAN.R-project.org/package=VGAMdata
Citations for references listed above: Bryan (2017), Chan and Leeper (2018), Fox and others (2018), Friendly (2018), Friendly (2017), Healy (2019), Henry and Wickham (2018), Hurley (2019), Ramsey and others (2019), Layton (2019), Layton and others (2018), Mount and Zumel (2019a), Mount (2019), Mount and Zumel (2019b), Müller and Wickham (2019), Ooms (2018), Sax (2019), Schloerke and others (2018), Spinu and others (2018), Stoffer (2017), Templ and others (2019), Unwin (2015), Emerson and Green (2014), Wickham and Hester and others (2019), Wickham and François and others (2019), Wickham (2019a), Wickham and Chang and others (2019), Wickham (2018), Wickham and others (2018), Wickham and Bryan (2019), Wickham (2019b), Wickham and Henry (2019), Wilkinson and Anand (2018), Kim and others (2018), Yee (2017)