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Introduction and Overview of R Language
Introduction to R
- R as a language
- Working with data in R
Data structures
- Vectors
- Matrices
- Lists
- Data frames
Basic statistics in R
- Distributions
- Testing
- Modeling
Statistical analysis with R
- Linear models
- Generalized linear models
Data handling
- Importing data from multiple sources/formats like .csv, .txt, .xlsx, SAS and SPSS files
- Exporting data to multiple formats
- Handling data frames: filtering, sorting, merging
- PLYR package for easy data manipulation
The R ecosystem
- Why use R?
- Getting started
- Installation and setup
- Packages
Graphics in R
- Graphics for exploratory data analysis
- Standard graphic displays
Advanced statistical modeling with R
- Density estimation
- Survival analysis
- Classification
- Clustering
Data types
- Character
- Factor
- Integer
- Float
- Date and time
Functions
- Commonly used built in functions
- Writing user defined functions
- Installing packages
- Looping functions
- The “apply” family of functions
- Basic visualization
Introduction to Writing R Packages Integrating with other tools.