This book is aimed at two complementary audiences: • Intermediate R programmers who want to dive deeper into R and learn more strategies for solving diverse problems • Programmers from other languages who are learning R, and want to understand why R
Turn your R code into packages that others can easily download and use. This practical book shows you how to bundle reusable R functions, sample data, and documentation together by applying author Hadley Wickham’s package development philosophy. In
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
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
This new edition to the classic book by ggplot2 creator Hadley Wickham highlights compatibility with knitr and RStudio. ggplot2 is a data visualization package for R that helps users create data graphics, including those that are multi-layered, with
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
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 composed of a set of i
ggplot2 is an R package implemented by Hadley Wickham for creating graphs. It’s based on the Grammar of Graphics, a concept published by Leland Wilkinson in 2005. ggplot2 has become a popular package for data visualization. The official documentatio
Hadley Wickham大神的Advanced R，适合R语言进阶者使用。Advanced r
K20319 FMindd 1
8/25/1412:28PM
Chapman Hall/cRc
Ther series
Series editors
John m. chambers
Torsten hothorn
Department of statistics
Division of biostatistics
Stanford University
University of zurich
