I'm a political science PhD candidate who uses R regularly but would never call myself *an R person*. I needed a Claude Code skill for base R — something without tidyverse
without ggplot2
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18,560 skills indexed with the new KISS metadata standard.
without ggplot2
out_file)
%s_clean.csv
data_clean.csv
`code = 2` (head at end
`nstart = 25`): runs algorithm from multiple random starts
no other stopping criterion.
`SSasymp`
Type I SS (sequential) are computed — order of terms matters.
`contr.poly` for ordered.
reserved = FALSE)` by default does NOT encode reserved chars (`/`
start
`
not original values. Use `as.numeric(levels(f))[f]` or `as.numeric(as.character(f))`.
not its character labels. Use `x[as.character(f)]` for label-based indexing.
warning = function(w) {...})` catches the **first** warning and exits. Use `withCallingHandlers` + `invokeRestart(muffleWarning)` to suppress warnings but continue.
x
output.csv
control flow
data wrangling
context
you choose where company code and selected data are stored (including the **EU**)
decomposition
filler content