R Programming: 1. Introduction and installation

This this first tutorials about the R programming, we going to post all the tutorials about the R programming too.

R programming is used to gives the statistically data  modeling with textual and  graphically representation as a output with nice format. R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, …) and graphical techniques, and is highly extensible.

Here is the first step of start of R programming to to understand the basic syntax in R. You can practice more and more from the http://tryr.codeschool.com/ . 

Installation(Window):

Click on the official R programming site (http://www.r-project.org). Search for the Download section

Click “download R” to get the proper mirror. This should take you to a page something like bellow.

Choose the link for Iowa State University or any other mirror you like.

Choose your operating system. In the tutorial case it was selected Microsoft Windows.

Click “install R for the first time”.

Click on “download” to download the installer (for Windows ).

Click on “Save file” to save the installer to your computer.

Double click the .exe file for installation.

Click “Run” to start the installation. Follow the steps. Click next, accept agreement, select your installation folder and finish the installation.

Working on R

          Select the R application from your start menu. All coding style should be same what you practiced on R code school.

1. Get and set working directory

getwd()

setwd("/path/to/your/working/directory")

2. List of commands

Here are some commands that you can use in your R script.

Command/word	Description	Example
#	The characters after are considered comment	#this is a comment
cat	Print a message to the console (like System.out.println in Java)	cat("Hello World!\n")
source	Execute a R script file previously created	source("myScript.r")
<-	Assign a value to a variable	one <- 1 Hello <- "Hello"
install.packages	Download and install a package	install.packages("rpart")
library	Load a installed library to your R script	load(rpart)

OBS: R is case sensitive, so Variable is different from variable.

Thank you !!!