Fix examples for generate_synthetic_data() and mply_dbl()

Author: const-ae

R/generate_synthetic_data.R

@@ -57,7 +57,7 @@
 #'   # Returning a SummarizedExperiment
 #'   se <- generate_synthetic_data(n_proteins = 10, return_summarized_experiment = TRUE)
 #'   se
-#'   head(assay(se))
+#'   head(SummarizedExperiment::assay(se))
 #'
 #' @export
 generate_synthetic_data <- function(n_proteins, n_conditions = 2,

R/util.R

@@ -21,18 +21,20 @@
 #' @examples
 #'   # Behaves similar to sapply(), but it always returns a matrix
 #'   t(sapply(1:5, function(i) c(i - i/3, i, i + i/3)))
-#'   mply_dbl(1:5, function(i) c(i - i/3, i, i + i/3), ncol=3)
+#'   proDA:::mply_dbl(1:5, function(i) c(i - i/3, i, i + i/3), ncol=3)
 #'
 #'   # Which can avoid some bad surprises
 #'   t(sapply(1:5, identity))
-#'   mply_dbl(1:5, identity)
+#'   proDA:::mply_dbl(1:5, identity)
 #'
 #'
 #'   # Works also with matrix input
 #'   mat <- matrix(1:20, ncol=4)
 #'   mat
-#'   msply_dbl(mat, function(i) rep(i, each=2))
+#'   proDA:::msply_dbl(mat, function(i) rep(i, each=2))
 #'
+#'
+#' @keywords internal
 mply_dbl <- function(x, FUN, ncol=1, ...){
   if(is.vector(x)){
     res <- vapply(x, FUN, FUN.VALUE=rep(0.0, times=ncol), ...)