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http://www.nytimes.com/2009/01/07/technology/business-computing/07program.html?pagewanted=all

http://www.nytimes.com/2009/01/07/technology/business-computing/07program.html?pagewanted=all. Data Structures. character vector. numeric vector. Dataframe :

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http://www.nytimes.com/2009/01/07/technology/business-computing/07program.html?pagewanted=all

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  1. http://www.nytimes.com/2009/01/07/technology/business-computing/07program.html?pagewanted=allhttp://www.nytimes.com/2009/01/07/technology/business-computing/07program.html?pagewanted=all

  2. Data Structures character vector numeric vector Dataframe: d <- c(1,2,3,4)e <- c("red", "white", "red", NA)f <- c(TRUE,TRUE,TRUE,FALSE)mydata <- data.frame(d,e,f)names(mydata) <- c("ID","Color","Passed") List: w <- list(name="Fred", age=5.3) Numeric Vector: a <- c(1,2,5.3,6,-2,4) Character Vector: b <- c("one","two","three") Framework Source: Hadley Wickham Matrix: y<-matrix(1:20, nrow=5,ncol=4)

  3. Sample Script (1) Data Input (2) Statistical Function (3a) Graphical Parameters (3b) Plot Function

  4. Currently, how many R Packages? At the command line enter: • dim(available.packages()) • available.packages()

  5. Course Some Coverage Specialized “Domain” stats graphics (both built-in) Bayesian DifferentialEquations Econometrics Environmetrics ExperimentalDesign Finance Genetics HighPerformanceComputing MachineLearning MedicalImaging NaturalLanguageProcessing Pharmacokinetics Phylogenetics Psychometrics SocialSciences Spatial TimeSeries Data Management plyr reshape Graphics ggplot2

  6. R Packages have been created that are equivalent to the functionality of SAS and SPSS

  7. R “Machine Learning” Libraries

  8. Packages for reading, writing for various data sources and file formats XLConnect sas7bdat Comma Separated Variables Hmisc foreign XML RMySQL RODBC / ROracle RJSONIO RWeka rhbase Rcpp

  9. Example of an Specialized Package for Social Network Analysis tnet

  10. Comprehensive R Archive Network http://cran.r-project.org/web/views/

  11. R Data Visualization http://gallery.r-enthusiasts.com/

  12. The R Graphics Package library(help="graphics") • Graphing Parameters • Basic Chart Types Titles X-Axis Title Y-Axis Title Legend Scales Color Gridlines

  13. The next data visual was produced with about 150 lines of R code

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