ABSTRACT

Although there are currently a wide variety of software packages suitable for the modern statistician, R has the triple advantage of being comprehensive, widespread, and free. Published in 2008, the second edition of Statistiques avec R enjoyed great success as an R guidebook in the French-speaking world. Translated and updated, R for Statistics in

part |2 pages

I An Overview of R

chapter 1|26 pages

Main Concepts

chapter 2|22 pages

Preparing Data

chapter 3|36 pages

R Graphics

chapter 4|14 pages

Making Programs with R

part |2 pages

II Statistical Methods

chapter 5|4 pages

A Quick Start with R

chapter 6|24 pages

Hypothesis Test

chapter 7|24 pages

Regression

chapter 8|24 pages

Analysis of Variance and Covariance

chapter 9|28 pages

Classification

chapter 10|32 pages

Exploratory Multivariate Analysis

chapter 11|16 pages

Clustering