Introduction to R (Download PDF)

Download Link: https://drive.google.com/file/d/0B_HnjRcH9aTpNG10ME1raW0zdTA/view?usp=sharing (Click this link to download pdf)

This PDF is a part of Introduction to R workshop conducted by Chris Bruno, Dason Kurkiewicz and Adam Loy from Department of Statistics, IOWA State University on 15 July 2010.

Reference: http://streaming.stat.iastate.edu/workshops/r-intro/

Breakdown of chapters is as following:

1. Introduction

2. Data Management

3. Graphics

4. Models

5. Programming

6. Advanced Manipulations

Reference: http://streaming.stat.iastate.edu/workshops/r-intro/lectures/

This post shares a downloadable PDF introduction to R from a statistics workshop, aimed at newcomers to the language. R is a free environment widely used for statistics, data analysis, and graphics.

A guided introduction like this is a good starting point before moving on to packages such as ggplot2 and dplyr for visualization and data wrangling.

Plot histogram in RStudio using Shiny

CODE:

# '#' denotes a comment

# install.packages("UsingR") uncomment if package is not installed

library(UsingR)

# install.packages("shiny") uncomment if package is not installed
library(shiny)

# install.packages("Hmisc") uncomment if package is not installed
library(Hmisc)

# install.packages("corrplot") uncomment if package is not installed
library(corrplot)

# getwd() gives the current directory where R looks up for files

wd <- getwd()
setwd(wd)