r

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Translated

R statistical programming for data analysis, visualization, and modeling. Use for .r files.

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Sourceg1joshi/agent-skills

Added on2026-02-11

NPX Install

npx skill4agent add g1joshi/agent-skills r

SKILL.md Content

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R

A language and environment for statistical computing and graphics.

When to Use

Statistical Analysis
Data Visualization (ggplot2)
Bioinformatics
Academic research

Quick Start

print("Hello, World!")

# Vector
x <- c(1, 2, 3, 4, 5)

# Mean
mean(x)

# Data Frame
df <- data.frame(
  Name = c("Alice", "Bob"),
  Age = c(25, 30)
)

Core Concepts

Vectorization

R operations are designed to work on entire vectors at once, avoiding explicit loops.

x + 1 # Adds 1 to every element in x

Pipe Operator

%>%

Used to clean code by passing output of one function as input to the next (Tidyverse).

data %>%
  filter(users > 100) %>%
  group_by(region) %>%
  summarize(total = sum(users))

Best Practices

Do:

Use the Tidyverse (dplyr, ggplot2) for modern R
Document functions with Roxygen2
Use RStudio IDE

Don't:

Use explicit
```
for
```
loops if vectorization is possible (performance)
Mix naming conventions (snake_case is preferred in tidyverse)

r