Introductory Slides for R - Statistics

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Other Operating SystemsR is available for several versions of Linux (or Unix) and also for MacOS X.I have installed R on Ubuntu Linux and have some experience with it.There are minor differences in interfacing with R.I have no experience with R on any Macs, but students in the pasthave had no problems using it.Reading OS specific instructions certainly helps.See An Introduction to R, Appendix B, at the CRAN web site.For the remainder of the slides I assume a Windows OS.3
Workspaces and DirectoriesBy default the workspace image is saved in{\tt C:\Program Files\R\R-2.10.1\.RData}It is a good idea to keep separate workspace images for different projects (HW?),otherwise the clutter will become unmanageable.Keep each separate workspace in a separate directory.To save an open workspace in a specific directory, say R-practice, click on Fileon the tool bar in the R work session, choose Change dir, browse to that directoryR-practice and choose OK.When you quit, q(), after that change of directories, the workspace .RData is savedin that new directory.A new icon R with name .RData appears in that directory.4
Page 1 and 2: STAT 311Elements of Statistical Met
Page 3: Statistical Analysis PlatformFreely
Page 7 and 8: Help in RIf you know the name of a
Page 9 and 10: Median ValueDescriptionCompute the
Page 11 and 12: Basic Usage of RWe can use R as an
Page 13 and 14: Functions Creating Vectors> 1:10[1]
Page 15 and 16: Data ModesWe saw that vectors can b
Page 17 and 18: Mode CoercionMixed mode elements in
Page 19 and 20: Matrices> mat mat # vertically pos
Page 21 and 22: Submatrices of Matrices> mat[1:3,1:
Page 23 and 24: Matrices via rbind> rmat rmat[,1]
Page 25 and 26: Custom FunctionsR can be extended b
Page 27 and 28: Another Way to Construct FunctionsW
Page 29 and 30: Using the NotePad or WordPad Editor
Page 31 and 32: Saving Objects outside the R Worksp
Page 33 and 34: Getting Data into R from ExcelGetti
Page 35 and 36: ListsLists allow more general forms
Page 37 and 38: Lists with Named Objects> b.list b
Page 39 and 40: Programming Control Tools: for loop
Page 41 and 42: Graphics in RSome people use R just
Page 43 and 44: Simple Command Line Graphics> hist(
Page 45 and 46: Text Annotated Graphicshist.rainier
Page 47 and 48: Math Annotated Graphicsplot.fun
Page 49 and 50: PackagesAside from your own extensi

Introductory Slides for R - Statistics

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