There are over 20,000 actively developed R packages that help performing a variety of analysis, such as data import, manipulation, visualization and more. Below is a short list of useful R package. Data Import & Writing readxl readr Data Manipulation dplyr tidyr Data Visualization ggpubr ggplot2 Data Science Package Collection tidyverse Data Exploration skimr DataExplorer Differential Gene Expression DESeq2 edgeR Gene Set Enrichment Analysis fgsea topGO Single Cell Data Analysis

R & RStudio have extensive support including community and research fora, AI tools, etc. If you encounter any issues with installing R packages, have programming or analysis problems, please explore them. There are also various books and tutorials that can be used for learning R. Community support Stack Overflow Posit Community AI Chat ChatGPT Bing chat Research fora ResearchGate Biostars Books & Tutorials (Free) R/Rstudio Set-up R for Excel Users RStudio Education Posit Cheatsheets R for Data Science (2nd Edition / free PDF) R for Data Science (1st Edition / paper copy) available in English /Japanese / Chinese at Bioinformatics Laboratory (P404)