Preliminaries Multivariate data A map Distance matrices Cluster analysis Mantel test Multidimensional scaling Principal components analysis Discriminant function analysis Epilogue Reading time: 32 minute(s) @ 200 WPM. Preliminaries At some time or another, most users of statistics find themselves sitting in front of a large pile of computer output with the realization that it tells them nothing that they really want to know.
Prologue Getting a feel for R The console Function calls and arguments HINT: Getting help Some graphics HINT: Command history and workspace Getting data into R Data frames Creating data frames HINT: Data management in R and RStudio. Exploratory data analysis Scatterplot matrix HINT: R packages Summary statistics and data screening Box plots Stem-and-leaf display Categorical variables: factors Some confirmatory analysis More graphics R scripts (command files) An R menu system: R-commander Epilogue Reading time: 22 minute(s) @ 200 WPM.