Introductory Slides for R - Statistics

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Functions of Vectors> mean(y) # mean is a system function, called with parentheses[1] 3 # typing mean without (..) would display the function body> median(x)[1] 3> sum(x)[1] 15> var(x)[1] 2.5> sort(y)[1] 1 2 3 4 513
Data ModesWe saw that vectors can be made up of numbers or numeric mode elements.We can also use character or logic data in vectors> x x[1] "abc" "ABC" "xyzXYZ">Y Y[1] TRUE TRUE FALSE FALSET and TRUE are equivalent, same with F and FALSENote that we use no quotes on T, TRUE, F and FALSE14
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: Functions Creating Vectors> 1:10[1]
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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