Introductory Slides for R - Statistics

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The fix EditorThe command fix(pythagoras) opens up an editor showingfunction (){}which you can modify, save (as function object pythagoras) and then use, e.g.function (x,y){sqrt(xˆ2+yˆ2)}> pythagoras(1:2,2)[1] 2.236068 2.828427shorter vector is recycled until length of longer vector is matched.but> pythagoras(1:2,1:3)[1] 1.414214 2.828427 3.162278Warning message:longer object lengthis not a multiple of shorter object length in: xˆ2 + yˆ225
Another Way to Construct FunctionsWe can define the function object Pythagoras directly from the command line.> Pythagoras Pythagorasfunction(x,y){sqrt(xˆ2+yˆ2)}> Pythagoras(1:3,2:4)[1] 2.236068 3.605551 5.000000Note the + character replacing the prompt > when the command is incomplete.This prompts you to complete an incomplete expression.A function expression is not complete until the opening { is matched by a closing }26
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 and 24: Matrices via rbind> rmat rmat[,1]
Page 25: Custom FunctionsR can be extended b
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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