Base R

Provides base R programming guidance covering data structures, data wrangling, statistical modeling, visualization, and I/O — using only packages included in a standard R installation. Use when the user writes or debugs R scripts, works with vectors, matrices, lists, data frames, or factors, applies the apply family (sapply, lapply, vapply, tapply), fits models with lm/glm/aov/nls, creates base graphics with plot/barplot/hist/boxplot/par, reads or writes CSV/RDS/RData files, or asks about R language semantics such as environments, scoping, and non-standard evaluation. Also use for R statistica

10 stars 2 forksData & Analytics

Install

skills CLI (Claude Code, Cursor, Codex and more)

npx skills add iremaydas/base-r-skill --skill base-r

Manual install

git clone --depth 1 https://github.com/iremaydas/base-r-skill.git /tmp/base-r-skill
mkdir -p ~/.claude/skills
cp -r /tmp/base-r-skill/. ~/.claude/skills/base-r

Personal skills live in ~/.claude/skills. Use .claude/skills in a project folder to share a skill with your team.

From the SKILL.md

# Base R Programming Skill

A comprehensive reference for base R programming — covering data structures, control flow, functions, I/O, statistical computing, and plotting.

## Quick Reference

### Data Structures

```r
# Vectors (atomic)
x <- c(1, 2, 3)              # numeric
y <- c("a", "b", "c")        # character
z <- c(TRUE, FALSE, TRUE)    # logical

# Factor
f <- factor(c("low", "med", "high"), levels = c("low", "med", "high"), ordered = TRUE)

# Matrix
m <- matrix(1:6, nrow = 2, ncol = 3)
m[1, ]       # first row
m[, 2]       # second column

# List
lst <- list(name = "ali", scores = c(90, 85), passed = TRUE)
lst$name      # access by name
lst[[2]]      # access by position

# Data frame
df <- data.frame(
  id = 1:3,
  name = c("a", "b", "c"),
  value = c(10.5, 20.3, 30.1),
  stringsAsFactors = FALSE
)
df[df$value > 15, ]    # filter rows
df$new_col <- df$value * 2  # add column
```

### Subsetting

```r
# Vectors
x[1:3]             # by position
x[c(TRUE, FALSE)]  # by logical
x[x > 5]           # by condition
x[-1]              # exclude first

# Data frames
df[1:5, ]                    # first 5 rows
df[, c("name", "value")]     # select columns
df[df$value > 10, "name"]    # filter + select
subset(df, value > 10, select = c(name, value))

# which() for index positions
idx <- which(df$value == max(df$value))
```

### Control Flow

Read the full skill on GitHub

Details

Skill name: base-r
Repository: iremaydas/base-r-skill
License: MIT
Repo updated: 27 March 2026

FAQ

What does the Base R skill do?

How do I install the Base R skill?

skills CLI (Claude Code, Cursor, Codex and more): npx skills add iremaydas/base-r-skill --skill base-r. Skills go in ~/.claude/skills (personal) or .claude/skills (project), and Claude loads them automatically when a task matches the description.

Is Base R popular?

It lives in iremaydas/base-r-skill, which has 10 GitHub stars and 2 forks.

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