Introduction
R is a statistical programming language that is used to describe and test relationships between large amounts of data. In this course, use R to model statistical relationships using graphs, calculations, tests, and so on. Furthermore, learn how to create charts, scatter plots, and histograms, examine outliers, calculate correlations, compute regressions and more.
Course Outline
- Getting Started
- What is R
- Install R and RStudio
- Explore RStudio Interface
- Variables
- Data Types
- Numbers
- Text
- Vector
- Matrix
- Array
- Data Frame
- Factor
- List
- Packages & Data Sets
- Packages
- Data Sets
- File Input/Output
- Read data from file
- Read data from web
- Write data to file
- Charts
- Scatter Plot
- Boxplot
- Bar chart
- Pie chart
- Histogram
- Control Structures
- Conditional Statements
- Loops
- Break & Next
- Operators
- Function
- Function Syntax
- Function Example
- Function With Default Arguments
- Statistical Application of R
- Basic Statistics
- Correlation
- Linear Regression
- Multiple Regression
- 2 Sample T-Test
- 1 Sample T-Test
- ANOVA
- Clustering
