Processes | Expression | Combine Experiments

Combine Experiments
The Combine Experiments process combines experiments by merging multiple tall data sets, and appending their corresponding experimental design data sets together to create a single tall data set and a single Experimental Design Data Set (EDDS).
What do I need?
Two or more pairs of SAS data sets are needed to run the Combine Experiments process. Each pair consists of 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. There must be at least one common variable in each of the tall data sets to be used as key variable for the merge.
Each tall SAS data set must have a corresponding Experimental Design Data Set (EDDS). This required data set 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 Life Sciences software, see Files and Data Sets.
The output generated by this process is summarized in a Results window. Refer to the Combine Experiments output documentation for detailed descriptions.