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convert_matrix <- function(x, sparse = TRUE) {
is_num <- vapply(x, is.numeric, logical(1))
if (!all(is_num)) {
num_viol <- sum(!is_num)
if (num_viol < 5)
rlang::abort(
paste0(
"Columns (",
paste0("`", names(is_num)[!is_num], "`", collapse = ", "),
") are not numeric; cannot convert to matrix."
)
)
else
rlang::abort(
paste0(
num_viol,
" columns are not numeric; cannot ",
"convert to matrix."
)
)
}
# Issue-206: Don't use model.matrix(~ . + 0) here as it drops NA rows unless
# na.pass is set. At this point, all cols are numeric so we can just use
# as.matrix() (no need to worry about factor -> character conversion)
res <- as.matrix(x)
if (sparse) {
res <- Matrix(res, sparse = TRUE)
}
res
}
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