check: Apply a list of checks to a dataset at specified variables
In biodatacore/biodatacoreMTM: Utilities for Tidy Modeling

check_at and check_if apply lists predicates on lists of subsets of a data frame. They are suitable for programming and for data analysis pipelines.

1
2
3

check_at(data, .ats, .fs, individually = TRUE)

check_if(data, .ps, .fs, individually = TRUE)

`data`	data frame
`.ats`	list. Each element of .ats can be a character vector of names or a numeric vector of positions. Only those elements corresponding to .at will be modified.
`.fs`	list. Each elemnt of .fs can be a single predicate function or a formula describing such a predicate function. Must return a scalar logical.
`individually`	scalar logical. If TRUE, each column in the subset is passed to .f. if FALSE, the entire subset dataframe is passed.
`.ps`	list. Each elemnt of .ps can be a single predicate function, a formula describing such a predicate function, or a logical vector of the same length as the number of cols of data. Only those elements where .p evaluates to TRUE will be checked