Description Usage Arguments Value
Creates a set of training data for manual scoring using excel from a processed Genome Studio export and an Rmixmod cluster output
1 | make.training.data(GSdata, mixmodout, marknum = 100, seed = NULL)
|
GSdata |
Processed GenomeStudio data |
mixmodout |
Clustering output from step 2 |
marknum |
The number of markers to sample for each cluster category (total = 4 * marknum) |
seed |
Fix the random seed for reproducibility |
A folder containing a partially populated .csv file and a nested folder of marker plots corresponding to the .csv file
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