R Tutorial

R Programming Language

Quick Tutorial

Agenda

Introduction Data Types Free Format Input Simple Graphs

Agenda

Introduction Data Types Free Format Input Simple Graphs

What is R

R is a free software programming language and software environment for statistical computing and graphics. (Wikipedia)

Download R

R is available for Windows, Linux and MacOSDownload it from:http://www.r-project.org/

What R does and What it doesnt Data handling and storage:

numeric, textual; Matrix algebra; Hash tables and regular

expressions; High-level data analytic and

statistical functions Classes (OO); Graphics; Programming language:

loops, branching, subroutines

Is not a database, but connects to DBMSs;

Has no graphical user interfaces, but connects to Java, TclTk;

Language interpreter can be very slow, but allows to call own C/C++ code;

No spreadsheet view of data, but connects to Excel/MsOffice;

No commercial support

Agenda

Introduction Data Types Free Format Input Simple Graphs

Data Types

Numeric:

Data Types (cont.)

Strings (character):

Data Types (cont.)

Vectors:

Data Types (cont.)

Matrices

Data Types (cont.)

Logical:

Data Types (cont.)

Factors:

Data Types (cont.)

Lists:

Data Types (cont.) Data Frames:

Agenda

Introduction Data Types Free Format Input Simple Graphs

Free Format Input

The function used to read data frames is called: read.table()

R can read directly from the web. So, you can specify the url of the dataset as input

Alternatively, you can specify the path to the local file on your machine

Free Format Input

Agenda

Introduction Data Types Free Format Input Simple Graphs

Simple Graphs

Useful Function

q(): quit R getwd(), setwd(): get and set working

directory help(functionName) or ?functionName mean(), var(), cov(), cor(), summary() .. etcNote: R depends on functions rather than commands. So, the use of parenthesis is crucial!

References

http://data.princeton.edu/R/introducingR.pdf http://www.cyclismo.org/tutorial/R/index.html http://www.statmethods.net/index.html www.math.ntu.edu.

tw/~hchen/Prediction/notes/R-programming.ppt http://en.wikipedia.org/wiki/R_

(programming_language)