Calculate confusion matrix for cross-validation.

Calculate a confusion matrix based on predictions from cross-validation.

calcConfusionCv(
  cvFit,
  lambda,
  ematMerged,
  sampleMetadata,
  className = "class",
  classLevels = NA
)

Arguments

cvFit	cv.glmnet object from metapredictCv().
lambda	value of lambda at which to use predictions.
ematMerged	matrix of gene expression for genes by samples.
sampleMetadata	data.frame of sample metadata.
className	name of column in sampleMetadata containing the true labels.
classLevels	Order of classes in the confusion matrix. If NA (default), then the function uses the order in cvFit.

Value

An object of class table.