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#' Count the number of missing landmarks in an array
#'
#'@param A An N x 3 x M array where N is the number of landmarks, 3 is the number of dimensions, and M is the number of specimens.
#'
#'@return A length n vector giving the number of missing landmarks for each specimen.
#'@export
#'@examples
#'
#'
#'
#' A <- array(1:(3*6*7), dim = c(7, 3, 6))
#' A[2, , 1] <- NA
#' countMissing(A)
countMissing <- function(A){
stopifnot(is.numeric(A), length(dim(A)) == 3, dim(A)[2] == 3)
completeLandmarks(A)
# Find landmarks with missing data
miss <- apply(A, c(3, 1), function(x) any(is.na(x)))
# Get counts for each specimen
counts <- rowSums(miss)
# How many at least one missing
nIncomplete <- sum(counts > 0)
# MAX
whichMax <- which.max(counts)
maxMissing <- max(counts)
message('')
message(paste(nIncomplete, 'specimens have missing data.'))
message(paste('Max missing: specimen', whichMax, 'with', maxMissing, 'missing landmarks.\n'))
return(counts)
}
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