Process Description

Split Experiment

The Split Experiment process divides an experiment into separate experiments either randomly or according to variables in the Experimental Design Data Set (EDDS). Separate tall data sets and EDDSs are created for each split.

What do I need?

Two SAS data sets are needed to run the Split Experiment process: a tall data set and its corresponding experimental design data set.

A tall SAS data set has samples as columns and molecular entity (for example, marker, gene, clone, protein, or metabolite) as rows.

The Experimental Design Data Set (EDDS) tells how the experiment was performed, providing information about the columns in the corresponding tall data set. Note that one column in the EDDS must be named ColumnName and the values contained in this column must exactly match the column names in the tall data set.

For detailed information about the files and data sets used or created by JMP Genomics software, see Files and Data Sets.

Output/Results

The output generated by this process is summarized in a Results window. Refer to the Split Experiment output documentation for detailed descriptions.