remove examples

R/acca.R

@@ -33,13 +33,6 @@
 #' Journal of Biomedical Informatics 43.4 (2010): 560-568.
 #'
 #'
-#' @examples
-#' \dontrun{
-#'
-#' x <- corrp::corrp(iris)
-#' m <- corrp::corr_matrix(x)
-#' corrp::acca(m, 2)
-#' }
 #'
 #' @export
 #'

R/best_acca.R

@@ -36,13 +36,6 @@
 #' and Soft Computing. Springer, Cham, 2015.
 #'
 #'
-#' @examples
-#' \dontrun{
-#'
-#' x <- corrp::corrp(iris)
-#' m <- corrp::corr_matrix(x)
-#' best_acca(m, 2, 6)
-#' }
 #'
 #' @export
 #'

R/corr_fun.R

@@ -103,11 +103,6 @@
 #' Paul van der Laken, ppsr,2021.
 #' URL \url{https://github.com/paulvanderlaken/ppsr}.
 #'
-#' @examples
-#' \dontrun{
-#'
-#' corr_fun(iris, nx = "Sepal.Length", ny = "Sepal.Width", cor.nn = "dcor")
-#' }
 #'
 #' @export
 corr_fun <- function(df,

R/corr_matrix.R

@@ -14,13 +14,6 @@
 #' @keywords correlation matrix , corrp
 #'
 #'
-#' @examples
-#' \dontrun{
-#'
-#' air_cor <- corrp(airquality)
-#' air_m <- corr_matrix(air_cor, isig = FALSE)
-#' corrplot::corrplot(air_m)
-#' }
 #'
 #' @export
 corr_matrix <- function(c, ...) {

R/corr_rm.R

@@ -19,12 +19,6 @@
 #'
 #' @keywords highly correlated , cmatrix , clist
 #'
-#' @examples
-#' \dontrun{
-#'
-#' air_cor <- corrp(airquality)
-#' corr_rm(df = airquality, c = air_cor, cutoff = 0.75, col = "infer.value", isig = FALSE)
-#' }
 #' @export
 corr_rm <- function(df, c, ...) {
   UseMethod("corr_rm", c)

R/corrp.R

@@ -90,13 +90,6 @@
 #' Paul van der Laken, ppsr,2021.
 #' URL \url{https://github.com/paulvanderlaken/ppsr}.
 #'
-#' @examples
-#' \dontrun{
-#'
-#' air_cor <- corrp(airquality)
-#' air_m <- corr_matrix(air_cor, isig = FALSE)
-#' corrplot::corrplot(air_m)
-#' }
 #'
 #' @export
 corrp <- function(df,

R/ptest.R

@@ -10,13 +10,7 @@
 #' @param alternative \[\code{character(1)}]\cr a character string specifying the alternative hypothesis,
 #' must be one of "two.sided" (default), "greater" or "less". You can specify just the initial letter.
 #' @param ... Additional arguments (TODO).
-#' @examples
-#' \dontrun{
-#'
-#' x <- iris[[1]]
-#' y <- iris[[2]]
-#' ptest(x, y, FUN = function(x, y) cor(x, y), alternative = "t")
-#' }
+#' 
 #' @export
 #'
 ptest <- function(x, y,

R/sil_acca.R

@@ -27,14 +27,6 @@
 #' " International Conference on Artificial Intelligence and Soft Computing. Springer, Cham, 2015.
 #'
 #'
-#' @examples
-#' \dontrun{
-#'
-#' x <- corrp::corrp(iris)
-#' m <- corrp::corr_matrix(x)
-#' acca <- corrp::acca(m, 2)
-#' sil_acca(acca, m)
-#' }
 #'
 #' @export
 #'