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R Programming/Navigation
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From Wikibooks, open books for an open world
R Programming
R Basics
Introduction
Sample Session
Manage your workspace
Settings and Installation
Documentation
Control Structures
Working with functions
Debugging
Using C or Fortran
Utilities
Estimation utilities
Packages
Data Management
Data types
Working with data frames
Importing and exporting data
Text Processing
Times and Dates
Graphics
Grammar of graphics
Publication quality output
Descriptive Statistics
Mathematics
Optimization
Probability Distributions
Random Number Generation
Statistical Core Methods
Maximum Likelihood
Method of Moments
Bayesian Methods
Bootstrap
Multiple Imputation
Nonparametric Methods
Regression Models
Linear Models
Quantile Regression
Binomial Models
Multinomial Models
Tobit And Selection Models
Count Data Models
Duration Analysis
Time Series
Factor Analysis
Classification
Ordination
Clustering
Network Analysis
High Performance Computing
Profiling R code
Parallel computing with R
Appendix
Sources
Index
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Book:R Programming/Templates
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