Basic R Programming

Overview

• History of R
• Advantages and disadvantages
• Downloading and installing
• How to find documentation

Introduction

• Using the R console
• Getting help
• Learning about the environment
• Writing and executing scripts
• Saving your work

Installing Packages

• Finding resources
• Installing resources

Data Structures, Variables

• Variables and assignment
• Data types
• Indexing, subsetting
• Viewing data and summaries
• Naming conventions
• Objects

Getting Data into the R Environment

• Built-in data
• Reading data from structured text files
• Reading data using ODBC

Control Flow

• Truth testing
• Branching
• Looping
• Vectorized calculations

Functions in Depth

• Parameters
• Return values
• Variable scope
• Exception handling

Handling Dates in R

• Date and date-time classes in R
• Formatting dates for modeling

Descriptive Statistics

• Continuous data
• Categorical data

Inferential Statistics

• Bivariate correlation
• T-test and non-parametric equivalents
• Chi-squared test
• Distribution testing
• Power testing

Base Graphics

• Base graphics system in R
• Scatterplots, histograms, barcharts, box and whiskers, dotplots
• Labels, legends, Titles, Axes
• Exporting graphics to different formats

Advanced R Graphics

• Understanding the grammar of graphics
• Quick plot function
• Building graphics by pieces