Use cli erros in rsplit.R Fixes #512

R/rsplit.R

@@ -1,20 +1,20 @@
 rsplit <- function(data, in_id, out_id) {
   if (!is.data.frame(data) & !is.matrix(data)) {
-    rlang::abort("`data` must be a data frame.")
+    cli::cli_abort("`data` must be a data frame.")
   }
 
   if (!is.integer(in_id) | any(in_id < 1)) {
-    rlang::abort("`in_id` must be a positive integer vector.")
+    cli::cli_abort("`in_id` must be a positive integer vector.")
   }
 
   if (!all(is.na(out_id))) {
     if (!is.integer(out_id) | any(out_id < 1)) {
-      rlang::abort("`out_id` must be a positive integer vector.")
+      cli::cli_abort("`out_id` must be a positive integer vector.")
     }
   }
 
   if (length(in_id) == 0) {
-    rlang::abort("At least one row should be selected for the analysis set.")
+    cli::cli_abort("At least one row should be selected for the analysis set.")
   }
 
   structure(
@@ -88,13 +88,13 @@ as.data.frame.rsplit <-
            data = "analysis",
            ...) {
     if (!is.null(row.names)) {
-      rlang::warn(paste0(
+      cli::cli_warn(paste0(
         "`row.names` is kept for consistency with the underlying class but ",
         "non-NULL values will be ignored."
       ))
     }
     if (optional) {
-      rlang::warn(paste0(
+      cli::cli_warn(paste0(
         "`optional` is kept for consistency with the underlying class but ",
         "TRUE values will be ignored."
       ))
@@ -107,7 +107,7 @@ as.data.frame.rsplit <-
           "There is no assessment data set for an `rsplit` object",
           " with class `", rsplit_class, "`."
         )
-        rlang::abort(msg)
+        cli::cli_abort(msg)
       }
       ind <- as.integer(x, data = data, ...)
       permuted_col <- vctrs::vec_slice(x$data, ind) %>%