HRDF Funded Course - R Programming and Statistics Training

R is the language of big data—a statistical programming language that helps describe, mine, and test relationships between large amounts of data. The trainer will use R to model statistical relationships using graphs, calculations, tests, and other analysis tools. Learn how to enter and modify data; create charts, scatter plots, and histograms; examine outliers; calculate correlations; and compute regressions, bivariate associations, and statistics for three or more variables.
Topics include:

• Installing R on your computer
• Using the built-in datasets
• Importing data
• Creating bar and pie charts for categorical variables
• Creating histograms and box plots for quantitative variables
• Calculating frequencies and descriptives
• Transforming variables
• Coding missing data
• Analyzing by subgroups
• Creating charts for associations
• Calculating correlations
• Creating charts and statistics for three or more variables
• Creating crosstabs for categorical variables

Module 1. Getting Started

• What is R
• Install R and RStudio
• Explore RStudio Interface
• Variables

Module 2. Data Types

• Numbers 
• Text
• Vector
• Matrix
• Array 
• Data Frame
• Factor 
• List

Module 3. Packages & Data Sets

• Packages
• Data Sets

Module 4. File Input/Output

• Read data from file
• Read data from web 
• Write data to file

Module 5. Charts

• Scatter Plot
• Boxplot
• Bar chart
• Pie chart
• Histogram

Module 6. Control Structures

• Conditional
• Loop
• Break & Next
• Operators

Module 7: Function

• Function Syntax
• Function Example
• Function With Default Arguments

Module 8. Statistical Application of R

• Basic Statistics 
• Correlation
• Linear Regression 
• Multiple Regression
• 2 Sample T-Test
• 1 Sample T-Test
• ANOVA
• Clustering