3/16/2024 0 Comments Sas statistical software syntax![]() ![]() “As a long time SAS user this book makes the task of transition to R much more palatable and appealing. International Statistical Review, 80, 1, 176-204,Īuthor of Data Analysis and Graphics Using R: An Example-Based Approach “This is a greatly expanded second edition of a text that has already proved widely popular… is a wide ranging and carefully compiled source of information on R…a strongly recommended addition to the library of anyone who comes to R from SAS or SPSS.” When finished, you will be able to import data, manage and transform it, create publication quality graphics, and perform basic statistical analyses. The table of contents and the index allow you to find equivalent R functions by looking up both SAS statements and SPSS commands. The glossary defines over 50 R terms using SAS/SPSS jargon and again using R jargon. The programs and practice data sets are available for download. It steps through over 30 programs written in all three packages, comparing and contrasting the packages’ differing approaches. It demonstrates which of the add-on packages are most like SAS and SPSS and compares them to R’s built-in functions. R for SAS and SPSS Users introduces R using SAS and SPSS terms with which you are already familiar.
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