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R Statistical Programming Online Training

R Statistical Programming


R is a free software programming language and software environment for statistical computing and graphics. The R language is widely used among statisticians and data miners for developing statistical software and data analysis.
  • A technical education and background is recommended.
  • It is a 20 days program and extends up to 2hrs each.
  • The format is 40% theory, 60% Hands-on.

  • It is a 5 days program and extends up to 8hrs each.
  • The format is 40% theory, 60% Hands-on.
    Private Classroom arranged on request and minimum attendies for batch is 4.
course content
  • Introduction to R
    • R as a language
    • Working with data in R
  • The R ecosystem
    • Why use R?
    • Getting started
    • Installation and setup
    • Packages
  • Data types
    • Character
    • Factor
    • Integer
    • Float
    • Date and time
  • Data structures
    • Vectors
    • Matrices
    • Lists
    • Data frames
  • Data handling
    • Importing data from multiple sources/formats like .csv, .txt, .xlsx, SAS and SPSS files
    • Exporting data to multiple formats
    • Handling dataframes: filtering, sorting, merging
    • PLYR package for easy data manipulation
  • Functions
    • Commonly used built in functions
    • Writing user defined functions
    • Installing packages
    • Looping functions
    • The "apply" family of functions
    • Basic visualization
  • Basic statistics in R
    • Distributions
    • Testing
    • Modelling
  • Graphics in R
    • Graphics for exploratory data analysis
    • Standard graphic displays
  • The R environment
    • R in the cloud
  • Statistical analysis with R
    • Linear models
    • Generalised linear models
  • Advanced statistical modelling with R
    • Density estimation
    • Survival analysis
    • Classification
    • Clustering
  • Introduction to Writing R Packages

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