runFold: Utility function to create predictions for a given fold and...
In mattdneal/FAIMSToolkit: Tools to aid in the analysis of FAIMS data

Utility function to create predictions for a given fold and set of variables

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runFold(trainingData, trainingTargets, testData, models, tuneKFolds,
  tuneRepeats, tuneLength, keep, PCA, verbose, heatmap, extraTrainingData,
  extraTestData)

`trainingData`	A data frame of training data
`trainingTargets`	A logical vector of training class labels
`testData`	A data frame of test data
`models`	A vector of caret::train models
`tuneKFolds`	number of folds for parameter tuning
`tuneRepeats`	number of repeats for parameter tuning
`tuneLength`	number of parameters to try when tuning
`keep`	numeric vector of column indices to keep in training and test data
`PCA`	apply PCA?
`verbose`	verbose output?
`heatmap`	plot a heatmap before training models?
`extraTrainingData`	additional training data
`extraTestData`	additional test data