sortinghat (version 0.1)

check_arguments: Checks the arguments passed to the error rate estimator functions.

Description

This function is a helper function that checks the arguments passed to make sure the input is valid and consistent across all error rate estimators.

Usage

check_arguments(x, y, train, classify)

Arguments

x

a matrix of n observations and p features

y

a vector of n class labels

train

a function that builds the classifier (See details)

classify

a function that classified observations from the constructed classifier from train. (See details.)

Value

• TRUE invisibly if no errors are encountered.

Details

We expect that the first two arguments of the classifier function given in train are x and y, corresponding to the data matrix and the vector of their labels. Additional arguments can be passed to the train function. The returned object should be a classifier that will be passed to the function given in the classify argument.