The
Create a Design Data Set from an Existing Data Set
process constructs an
Experimental Design Data Set (EDDS)
from an existing tall SAS data set. One of its main tasks is to create a
variable
called
ColumnName
whose values are the names of the columns in the tall data set containing the primary experimental data. You can add and subsequently fill in additional columns corresponding to the experimental conditions in a JMP table and then save the result as a SAS data set.
One tall SAS data set is required to run the
Create a Design Data Set from an Existing Data Set
process.
The
drosophilaaging.sas7bdat
data set from the
Drosophila Aging Experimental Data
of Jin, et al. (2001) is used in the example that follows.
Note that this is a
tall
data set; each gene or spot corresponds to one row whereas each column corresponds to separate experimental conditions.
For detailed information about the files and data sets used or created by JMP Life Sciences software, see
Files and Data Sets
.
The output data sets generated by this process are listed in a
Results
window. Refer to the
Create a Design Data Set from an Existing Data Set
output documentation for detailed descriptions.