rowsNA: Frequency of Multiple Sets of Missing Values by Row
In quest: Prepare Questionnaire Data for Analysis

Description Usage Arguments Value See Also Examples

rowsNA computes the frequency of missing values for multiple sets of columns from a data.frame. The arguments prop and ov allow the user to specify if they want to sum or mean the missing values as well as compute the frequency of observed values rather than missing values. This function is essentially a vectorized version of rowNA that inputs and outputs a data.frame.

1	rowsNA(data, vrb.nm.list, prop = FALSE, ov = FALSE)

`data`	data.frame of data.
`vrb.nm.list`	list where each element is a character vector of colnames in `data` specifying the variables for that set of columns. The names of `vrb.nm.list` will be the colnames of the return object.
`prop`	logical vector of length 1 specifying whether the frequency of missing values should be returned as a proportion (TRUE) or a count (FALSE).
`ov`	logical vector of length 1 specifying whether the frequency of observed values (TRUE) should be returned rather than the frequency of missing values (FALSE).

data.frame with the frequency of missing values (or observed values if ov = TRUE) for each set of variables. The names are specified by names(vrb.nm.list); if vrb.nm.list does not have any names, then the first element from vrb.nm.list[[i]] is used.

rowNA colNA vecNA is.na

vrb_list <- lapply(X = c("O","C","E","A","N"), FUN = function(chr) {
   tmp <- grepl(pattern = chr, x = names(psych::bfi))
   names(psych::bfi)[tmp]
})
rowsNA(data = psych::bfi,
   vrb.nm.list = vrb_list) # names set to first elements in `vrb.nm.list`[[i]]
names(vrb_list) <- paste0(c("O","C","E","A","N"), "_m")
rowsNA(data = psych::bfi, vrb.nm.list = vrb_list) # names set to names(`vrb.nm.list`)