The Combine Columns process groups together columns of a tall data set and computes a summary statistic, such as the mean for each group. It also creates an accompanying reduced Experimental Design Data Set (EDDS) . This process is useful when you want to combine similar columns of data (for example, from replicate runs) together into one column.
• The Input Data Set containing the columns to be reordered. The drosophilaaging_norm.sas7bdat data set (located in the \ LifeSciences\Sample Data\Microarray\Scanalyze Drosophila directory included with JMP Genomics, associated with the Drosophila aging experiment of Jin et al. (2001) described in Drosophila Aging Experimental Data ) serves as an example.
• An Experimental Design Data Set (EDDS) that tells how the experiment was performed, providing information about the columns of the primary experimental data. The drosophilaaging_exp.sas7bdat EDDS (located in the \ LifeSciences\Sample Data\Microarray\Scanalyze Drosophila directory included with JMP Genomics, associated with the Drosophila aging experiment of Jin et al. (2001) described in Drosophila Aging Experimental Data ) serves as an example.
For detailed information about the files and data sets used or created by JMP Life Sciences software, see Files and Data Sets .The output of the Combine Columns process includes the Results window, which lists the output data sets:
Click to view the drosophilaaging_norm_gc.sas7bdat output data set.
Click to view the drosophilaaging_exp_gc.sas7bdat output EDDS.The output EDDS contains the same nine columns as the input EDDS but only eight rows. Each row corresponds to one column from the drosophilaaging_norm_gc.sas7bdat output data set.