This document discusses various R packages and tools. It compares the popularity of Python and R programming languages based on search volumes. It also describes several popular R packages, including those for clustering (hclust), graphs (igraph), matrices, time-series analysis, MCMC, and more. Finally, it mentions some R tools and libraries for handling large datasets, key-value storage, protocol buffers, and Japanese localization.