R course notes. r4stats.com | Analyzing the World of Analytics. Introduction to Statistical Computing in R. A statistical package, such as SPSS or SAS, is primarily oriented toward combining instructions with rectangular case-by-variable datasets to produce (often voluminous) printouts. Such packages make routine data analysis relatively easy, but they make it relatively difficult to do things that are innovative or non-standard, or to add to the built-in capabilities of the package.
In contrast, a good statistical computing environment also makes routine data analysis easy, but it additionally supports convenient programming; this means that users can extend the already impressive facilities of R. Statisticians and others have taken advantage of the extensibility of R to contribute more than 2000 freely available “packages” of documented R programs and data to CRAN ( the Comprehensive R Archive Network) and many others to the Bioconductor package archive.
Precompiled binaries for popular Linux systems are available from CRAN, or users can compile R from source. Installing the car Package R. RGraphExampleLibrary: R Example Graph Library. Introduction I wondered why there wasn't a website with output of the many examples of R packages. Well, here it is. This site contains hundreds of plots and graphics from the example sections of over 90 packages.
There are many more R packages available and even within the selected packages some plots are not created (for various reasons). But this collection should give a broad overview of the graphic features available. Using the library Just click on the 'packages' tab for an overview of R packages.After selecting a R package a list of small plots is displayed. Arrg, It Does Not Work ... The example code and log output is currently not available.
The Making of ... Essential ingredients: Home Page.