Arjun Srivastava's Library

The Art of R Programming: A Tour of Statistical Software Design
Norman Matloff
R is the world's most popular language for developing statistical software: Archaeologists use it to track the spread of ancient civilizations, drug companies use it to discover which medications are safe and effective, and actuaries use it to asses...

The Elements of Statistical Learning: Data Mining, Inference, and Prediction
Trevor Hastie and Robert Tibshirani and Jerome Friedman
During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data ...

Ggplot2: Elegant Graphics for Data Analysis
Hadley Wickham
1. 1 Welcome to ggplot2 ggplot2 is an R package for producing statistical, or data, graphics, but it is unlike most other graphics packages because it has a deep underlying grammar. This grammar, based on the Grammar of Graphics (Wilkinson, 2005), is...

Hands-On Programming With R: Write Your Own Functions and Simulations
Garrett Grolemund
Learn how to program by diving into the R language, and then use your newfound skills to solve practical data science problems. With this book, you’ll learn how to load data, assemble and disassemble data objects, navigate R’s environment system, wr...

R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics
Jd Long and Paul Teetor
Perform data analysis with R quickly and efficiently with more than 275 practical recipes in this expanded second edition. The R language provides everything you need to do statistical work, but its structure can be difficult to master. These task-o...

R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
Hadley Wickham and Garrett Grolemund
Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for ...