R Analytics
R language data analysis and visualization skill. Use when user asks to (1) run R scripts or code, (2) install/update R packages, (3) perform data analysis with R, (4) create visualizations with ggplot2/plotly, (5) statistical analysis, (6) data manipulation with tidyverse/dplyr/data.table. Triggers on keywords like "R语言", "R脚本", "ggplot", "tidyverse", "数据分析", "可视化".
Install
npx skills add LeoLin990405/r-analytics-skill --skill r-analyticsgit clone --depth 1 https://github.com/LeoLin990405/r-analytics-skill.git /tmp/r-analytics-skill
mkdir -p ~/.claude/skills
cp -r /tmp/r-analytics-skill/. ~/.claude/skills/r-analyticsPersonal skills live in ~/.claude/skills. Use .claude/skills in a project folder to share a skill with your team.
From the SKILL.md
# R Analytics
R language data analysis and visualization toolkit.
## Quick Reference
### Run R Code
```bash
# Run inline code
Rscript -e 'print("Hello R")'
# Run script file
Rscript script.R
# Run with arguments
Rscript script.R arg1 arg2
```
### Package Management
```bash
# Update all packages
Rscript -e 'options(repos = c(CRAN = "https://cloud.r-project.org")); update.packages(ask = FALSE, checkBuilt = TRUE)'
# Install package
Rscript -e 'install.packages("tidyverse", repos = "https://cloud.r-project.org")'
# Install multiple packages
Rscript -e 'install.packages(c("ggplot2", "dplyr", "tidyr"), repos = "https://cloud.r-project.org")'
```
## Data Analysis Workflow
### 1. Load Data
```r
# CSV
df <- read.csv("data.csv")
df <- readr::read_csv("data.csv") # faster, tibble output
# Excel
df <- readxl::read_excel("data.xlsx", sheet = 1)
# JSON
df <- jsonlite::fromJSON("data.json")
```
### 2. Data Manipulation (dplyr)
```r
library(dplyr)
df %>%
filter(column > 10) %>% # filter rows
select(col1, col2) %>% # select columns
mutate(new_col = col1 * 2) %>% # create column
group_by(category) %>% # group
summarise(mean_val = mean(value)) # aggregate
```
### 3. Visualization (ggplot2)Details
- Skill name
r-analytics- Repository
- LeoLin990405/r-analytics-skill
- License
- MIT
- Repo updated
- 16 March 2026
FAQ
What does the R Analytics skill do?
R language data analysis and visualization skill. Use when user asks to (1) run R scripts or code, (2) install/update R packages, (3) perform data analysis with R, (4) create visualizations with ggplot2/plotly, (5) statistical analysis, (6) data manipulation with tidyverse/dplyr/data.table. Triggers on keywords like "R语言", "R脚本", "ggplot", "tidyverse", "数据分析", "可视化".
How do I install the R Analytics skill?
skills CLI (Claude Code, Cursor, Codex and more): npx skills add LeoLin990405/r-analytics-skill --skill r-analytics. Skills go in ~/.claude/skills (personal) or .claude/skills (project), and Claude loads them automatically when a task matches the description.
Is R Analytics popular?
It lives in LeoLin990405/r-analytics-skill, which has 5 GitHub stars and 0 forks.
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