The SAS <-> R cheat sheet shows side-by-side equivalents for common SAS data steps and procedures and their R counterparts using the tidyverse. It covers the full data manipulation workflow from importing and subsetting data to summarising, joining, pivoting, and plotting.
What’s covered#
- Introduction and setup – installing and loading tidyverse
- Datasets; drop, keep, and rename variables
- Conditional filtering
- Sorting and row-wise operations
- New variables and conditional editing –
mutate,if_else,case_when - Counting and summarising –
count,group_by,summarise - Combining datasets –
bind_rows,left_join, and related joins - String manipulation –
str_detect,str_sub,str_replace_all,str_extract - Transpose/pivot –
pivot_wider,pivot_longer - Plotting in R – ggplot2 line, point, bar, and column charts
