Columns
Click on a button corresponding to a SAS data set column utility. Refer to the table below for guidance.
Process |
Choose this process for... |
Creating, removing, or changing the labels for one or more variables in a SAS data set |
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Changing the lengths of variables in a SAS data set Tip: Reduce disk space and computational time by shortening long character variables. Note: This process does not change the length of numeric variables. |
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Renaming one or more primary data variables in a tall data set, and creating a new Experimental Design Data Set (EDDS) to accompany it |
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Rearranging the column order in a data set Tip: This is especially useful for reorganizing a data set formed by merging two or more disparate data sets. |
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Removing columns from a wide data set based on a filter specified using variables from the corresponding tall data set to filter its rows |
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Combining columns of a tall data set together, computing a summary statistic, and creating an accompanying reduced EDDS Example: This process can be used to average and combine replicate runs of data from an experiment into one column. |
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Computing a variety of summary statistics for variables in a SAS data set |
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Modifying a SAS data set by performing a mathematical transformation on all specified variables |
See Next-Gen Sequencing for other subcategories.