Introductory Slides for R - Statistics

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Matrices via matrix> matrix(1:12,ncol=3,nrow=4)[,1] [,2] [,3][1,] 1 5 9[2,] 2 6 10[3,] 3 7 11[4,] 4 8 12> matrix(1:12,ncol=3,nrow=4,byrow=T)[,1] [,2] [,3][1,] 1 2 3[2,] 4 5 6[3,] 7 8 9[4,] 10 11 12# byrow = F is default23
Custom FunctionsR can be extended by writing your own function.It is my way of building up an analysis or plot construction in stepwise fashionwithout having to retype all commands.> squareError: object "square" not found> fix(square) #here we edit the function object square & save it.> squarefunction (x){x square(1:5)[1] 1 4 9 16 25Note the difference in calling square with and without arguments.24
Page 1 and 2: STAT 311Elements of Statistical Met
Page 3 and 4: Statistical Analysis PlatformFreely
Page 5 and 6: Workspaces and DirectoriesBy defaul
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: Matrices via rbind> rmat rmat[,1]
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

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