modelDivMelt uses the provided training set data to generate and save a
LASSO model for linear regression analysis on future samples. The training set
must be a comma separated file with the following columns:
Sample = sample name
min,max,mean and stddev - those measures w.r.t. fluorescence
sigma - sigma from linear model of fluorescence
dmin,dmax,dmean and dstddev - those measures w.r.t. delta fluorescence
positive - 0 if rejected (negative control), 1 if accepted
The output file is written as an R object. The default filename is model.rda.
modelDivMelt( trngFile, datFile)
CSV file representing training set samples (required)
name of output model file (model.rda by default)
David Swan [email protected]
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