# Learning everything with R: An R book list

**Blog of Statistical Estimation**, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)

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R is not easy to learn in the

A good and cheap way is to use R. So, save you money on software but buy a following book instead. The following books provide readers with their R codes describing how to conduct statistical models with R. These books are displayed in the different sections ordered from easiest to hardest to learn (this order is also applied to book list within the section). Notice that some following books (especially for book title without

R Through Excel

R for SAS and SPSS Users

R for Stata Users

R and MATLAB

Python for R Users

**Probability and Statistics**

Discovering Statistics Using R

SPSS could still be the main software in this field and then you must know Prof. Field’s book (Discovering Statistics using SPSS). But you want to learn R and you can try his R book as well (Discovering Statistics Using R). The model in these two books

Probability and Statistics with R for Engineers and Scientists

**Data Visualization**

R Graphics

**Business Analytics**

Data mining and business analytics with R

**Regression Model **

A Modern Approach to Regression with R

- Nonlinear Model

Nonlinear Regression with R

Applied Nonparametric Econometrics

**Simulation**

Monte Carlo Simulation and Resampling for Social Science

Statistical Computing with R

MethodsResampling

Comparing Groups: Randomization and Bootstrap Methods Using R

Bootstrap methods and their application

An Introduction to Bootstrap Methods with Applications to R

**Finance**

I have another post to contain the book list for R in Finance. Please see it here.

Computational Actuarial Science with R

Econometrics

Introduction to programming Econometrics with R – Draft

**Productivity Analysis**

Introduction to Econometric Production Analysis with R

**Economic Theory**

An Introduction to R for Quantitative Economics

**Experimental design**

Design and Analysis of Experiments with R

**Meta-Analysis**

Applied Meta-Analysis with R

Meta-Analysis with R (Use R!)**Programming**

R packages

Introduction to Scientific Programming and Simulation Using R

Software for Data Analysis Programming with R

Art of R Programming: A Tour of Statistical Software Design

The main characteristic of this book is that the author will explain the function by telling the meaning. For example, l in function **Database**

Database Programming Using R

Data Manipulation with R (Use R!)

**Math**

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