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The R Project for statistical computing

The R Project for statistical computing. Eric Fouh, Christopher Poirel CS 5604 Fall 2010. What is R?. Usages of R. statistics system data handling and storage facility calculations on arrays, in particular matrices integrated collection of tools for data analysis

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The R Project for statistical computing

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  1. The R Projectfor statistical computing Eric Fouh, Christopher Poirel CS 5604 Fall 2010

  2. What is R?

  3. Usages of R • statistics system • data handling and storage facility • calculations on arrays, in particular matrices • integrated collection of tools for data analysis • graphical tool for data analysis • programming language (called ‘S’)

  4. Structure of R • R functions and dataset are stored in packages • R is provided with 25 “standard” packages: • Hundreds of contributed packages (written by different authors ) are available

  5. R and Information Retrieval

  6. Getting started with R • To start R >R • To quit R >q() • To see installed packages >library() • To load a package >library(class) • To start help > help.start() • To create a vector > x <- c(10.4, 5.6, 3.1, 6.4, 21.7) • To create a matrix > x <- array(1:20, dim=c(4,5)) # Generate a 4 by 5 array filled with number from 1 to 20. • To display an object >x • To delete an object >rm x • To load data from file >HousePrice <- read.table("houses.data")

  7. Examples (1) • Term-Document Matrix

  8. Examples (1)

  9. Examples (2) • Eigenvalues and eigenvectors

  10. Examples(3)

  11. Examples(3) • Law Rank approximation

  12. Examples(3)

  13. Examples(3)

  14. Resources • IIR Book • http://www.r-project.org/ Questions?

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