Process Description

Merge and Transform

The Merge and Transform process merges two SAS data sets that share a common set of variables and computes an arbitrary function for each pair of variables having the same name. The output data set is a transformed merge of the two input data sets.

Caution: You must be familiar with SAS programming to use this utility. Please refer to Base SAS documentation (http://support.sas.com/documentation/) for more information.

What do I need?

Any two SAS Input Data Sets containing a common set of numeric variables. You must specify the variables to be merged and transformed.

For example, the chips45and55_z.sas7bdat and chips45and55_sfs.sas7bdat data sets (shown below) serve as base and merge input SAS data sets, respectively. The X_Block and Y_Block variables (shaded green in each), are Merge Key Variables.

The Merge Key Variables have been specified to be dropped in the output. The f_45 and m_55 variables are to be transformed. Both of these actions are conducted using the following Transform Expression:

varb[i] = log2(max(varb[i]-varm[i]+32,1));

keep Unit Probe_Set_ID Probe f_45 M_55;

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

Output/Results

Refer to the Merge and Transform output documentation for a detailed description of the output of this process

See also

•

Merge

•

Transform