R is a powerful platform for statistics and graphics. Part 2 will focus on building complex graphics in R and basic statistics. R possess a wide range of graphic function that we will explore and use to build custom plots. Basic exploratory statistics often used in publications (interquartile range, linear regression, distributions) and graphical tools to represent them will be introduced.
Course Outline:

Discovery the R console and RStudio interface

Basic operation in R

Imputing data

Removing data

The help function

Data structures and data manipulation

Vectors

Matrices

Data frames

Lists

Problems

Using indexes to select data subset

Displaying your data

Import and export

Importing / exporting text file (.txt, .csv...)

Importing Excel (.xls, .xlsx)

Importing from SAS, SPSS, STATA, Systat...

Problems

How to save a R object

Editing an object with reshape

Basic of programming concept with R

Loops

Conditional executions

Problems

The Fibonacci list

Example of an R function
The lecture is based on the following books and websites:
About the Instructor:
David Ruau; Postdoctoral Research fellow, Pediatrics  Please
contact David Ruau if you have questions about course content, etc.
Prequisites:
Students must have completed the
instructions installing R on a Windows Machine or a Mac before taking this class.