r-expert
Expert-level R statistical computing, data analysis, and visualization
npx skills add majiayu000/claude-skill-registry --skill r-expert-personamanagmentlaye-pcl-83b3bc52 --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# R Statistical Computing Expert Expert guidance for R programming, statistical analysis, data visualization, and data science. ## Core Concepts ### R Fundamentals - Vectors and data frames - Factors and lists - Functions and apply family - Packages and libraries - R Markdown - Tidyverse ecosystem ### Statistical Analysis - Descriptive statistics - Hypothesis testing - Regression analysis - ANOVA - Time series analysis - Machine learning ### Data Visualization - ggplot2 - Base R graphics - Interactive plots (plotly) - Statistical charts - Maps and spatial data ## R Basics ```r # Vectors numbers <- c(1, 2, 3, 4, 5) names <- c("Alice", "Bob", "Charlie") # Data frames df <- data.frame( id = 1:5, name = c("Alice", "Bob", "Charlie", "David", "Eve"), age = c(25, 30, 35, 28, 32), salary = c(50000, 60000, 55000, 52000, 58000) ) # Subsetting df[df$age > 30, ] # Rows where age > 30 df[, c("name", "age")] # Select columns # Functions calculate_mean <- function(x) { sum(x) / length(x) } # Apply family sapply(df$age, function(x) x * 2) lapply(list(1:5, 6:10), sum) # Control structures if (mean(df$age) > 30) { print("Average age is above 30") } else { print("Average age is 30 or below") } # Loop
- Core Concepts
- R Fundamentals
- Statistical Analysis
- Data Visualization
- R Basics
- Tidyverse
- ggplot2 Visualization
- Time Series Analysis
- Machine Learning
- R Markdown
- Data Import/Export
- Best Practices
- Code Style
- Data Analysis
What does the r-expert skill do?
Expert-level R statistical computing, data analysis, and visualization
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill r-expert-personamanagmentlaye-pcl-83b3bc52 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.