check_arguments: Checks the arguments passed to the error rate estimator...
In sortinghat: sortinghat

Description Usage Arguments Details Value

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.

1	check_arguments(x, y, train, classify)

`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.)

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.

TRUE invisibly if no errors are encountered.

sortinghat documentation built on May 30, 2017, 4:52 a.m.