| Package | Keywords | Description | Links |
|---|---|---|---|
tidyverse |
tidyverse, data analysis | Collection of packages designed for data analysis. The packages are designed to work smoothly together | website, learning resources |
dplyr |
tidyverse, data manipulation | Part of the tidyverse. Package for data manipulation: filtering, selecting and arranging data, summarizing data (e.g. calculating summaries by group), … | website, cheatsheet |
readr |
tidyverse, data import and export | Part of the tidyverse. Package for data import and export (csv, txt, other delimited files) | website, cheatsheet |
readxl |
data import and export | Functions to import and export excel files from multiple sheets into R as tibbles | package documentation |
ggplot2 |
tidyverse, data visualization | Part of the tidyverse. Data visualization | website, cheatsheet |
patchwork |
data visualization | Easy syntax for combining multiple plots into one. Easy control of plot layout, common legends, plot annotations and labels | website with different articles to get started |
tidyr |
tidyverse, data cleaning | Part of the tidyverse. Transforming tables to bring them in a tidy format for further analysis | website, cheatsheet |
stringr |
tidyverse, string manipulation | Part of the tidyverse. Toolkit for working with strings. String manipulation: extracting strings, substrings, find patterns in strings, replace patterns in strings, … | website, cheatsheet |
lubridate |
dates and times | Makes it easy to work with dates and times: convert strings to date time objects, calculate with times (intervals, periods, …) and plot time series | cheatsheet, website |
forcats |
factors, categorical variables | Part of the tidyverse. Working with factors (categorical data types). Renaming, reordering, summarizing categories, … | website, cheatsheet |
data.table |
fast data analysis, big data | Extremely fast and memory efficient data transofmrations in R. The package uses a different syntax from base R and the tidyverse. However, data.tables are also data frames so you can use them either with data.table syntax or with base R/tidyverse syntax | website, cheatsheet |
collapse |
fast data analysis, big data | Packag for fast data manipulation. Well integrated with dplyr and data.table. Provides fast functions for data transformation, aggregation, linear models, statistical functions, grouping, … Have a look at it if you have large data sets and your data operations take a long time | package on github, cheatsheet |
ggsci |
colors, data visualization | Provides additional color scales to ggplot | website |
ggthemes |
colors, themes, data visualizations | Provides additional color scales and themes to ggplot | theme gallery |
usethis |
utility, workflow | Provides useful utility functions around R and Rstudio workflows: project setup, git, github, licenses, package development, … | website |
styler |
utility | Automatically format your code according to the tidyverse style guide. This ensures that your coding style follows good practice | website |
here |
utility | Makes file referencing and relative paths easy | website |
| sjPlot | statistics, data visualizations | Collection of plotting and table output functions for data visualization of statistical results | website |
List of R packages
In the table below, you can find a list of R packages with a short description and some links for further reading. The package selection is based on my personal experience and packages that I regularly use and like. The list is in no way complete. If you know a useful package that I missed, let me know and I can add it to the list.