diff --git a/R/CST_QuantileMapping.R b/R/CST_QuantileMapping.R
index 257b5b6203817b5a34c07add6981f55c3e6aaf20..acd5259dd8f1c16da23ff21504c5b386fd7657b0 100644
--- a/R/CST_QuantileMapping.R
+++ b/R/CST_QuantileMapping.R
@@ -9,19 +9,19 @@
 #'@param exp An object of class \code{s2dv_cube}.
 #'@param obs An object of class \code{s2dv_cube}.
 #'@param exp_cor A multidimensional array with named dimensions in which the
-#'quantile mapping correction should be applied. If it is not specified, the
-#'correction is applied to object 'exp' using leave-one-out cross-validation.
-#'This is useful to correct a forecast when the hindcast is provided in parameter 'exp'.
+#'  quantile mapping correction should be applied. If it is not specified, the
+#'  correction is applied to object 'exp' using leave-one-out cross-validation.
+#'  This is useful to correct a forecast when the hindcast is provided in parameter 'exp'.
 #'@param sdate_dim A character string indicating the dimension name in which 
 #'  cross-validation would be applied when exp_cor is not provided. 'sdate' by 
 #'  default.
 #'@param memb_dim A character string indicating the dimension name where
 #'  ensemble members are stored in the experimental arrays. It can be NULL if 
 #'  there is no ensemble member dimension. It is set as 'member' by default.
-#'@param window_dim A character string indicating the dimension name in which extra
-#'samples are stored. This dimension is joined to the 'member' dimension.
-#'This is useful to correct daily data, for which robust statistics can be obtained
-#'by creating a window of dates around the target date.
+#'@param window_dim  A character string indicating the dimension name in which extra
+#'  samples are stored. This dimension is joined to the 'member' dimension.
+#'  This is useful to correct daily data, for which robust statistics can be obtained
+#'  by creating a window of dates around the target date.
 #'@param method A character string indicating the method to be used:'PTF', 
 #'  'DIST', 'RQUANT', 'QUANT', 'SSPLIN'. By default, the empirical quantile 
 #'  mapping 'QUANT' is used.
@@ -101,9 +101,9 @@ CST_QuantileMapping <- function(exp, obs, exp_cor = NULL, sdate_dim = 'sdate',
 #'@param obs A multidimensional array with named dimensions containing the 
 #'  reference dataset.
 #'@param exp_cor A multidimensional array with named dimensions in which the
-#'quantile mapping correction should be applied. If it is not specified, the
-#'correction is applied to object 'exp' using leave-one-out cross-validation.
-#'This is useful to correct a forecast when the hindcast is provided in parameter 'exp'.
+#'  quantile mapping correction should be applied. If it is not specified, the
+#'  correction is applied to object 'exp' using leave-one-out cross-validation.
+#'  This is useful to correct a forecast when the hindcast is provided in parameter 'exp'.
 #'@param sdate_dim A character string indicating the dimension name in which
 #'  cross-validation would be applied when exp_cor is not provided. 'sdate' by
 #'  default.
@@ -111,9 +111,9 @@ CST_QuantileMapping <- function(exp, obs, exp_cor = NULL, sdate_dim = 'sdate',
 #'  ensemble members are stored in the experimental arrays. It can be NULL if 
 #'  there is no ensemble member dimension. It is set as 'member' by default.
 #'@param window_dim A character string indicating the dimension name in which extra
-#'samples are stored. This dimension is joined to the 'member' dimension.
-#'This is useful to correct daily data, for which robust statistics can be obtained
-#'by creating a window of dates around the target date.
+#'  samples are stored. This dimension is joined to the 'member' dimension.
+#'  This is useful to correct daily data, for which robust statistics can be obtained
+#'  by creating a window of dates around the target date.
 #'@param method A character string indicating the method to be used: 'PTF',
 #'  'DIST', 'RQUANT', 'QUANT', 'SSPLIN'. By default, the empirical quantile 
 #'  mapping 'QUANT' is used. 
@@ -137,8 +137,8 @@ CST_QuantileMapping <- function(exp, obs, exp_cor = NULL, sdate_dim = 'sdate',
 #'dim(obs) <- c(member = 1, syear = 10, window = 15)
 #'fcst <- 100*(1:prod(8,1,1))
 #'dim(fcst) <- c(member = 8, syear = 1, swindow = 1)
-#'res <- QuantileMapping(exp = exp, obs = obs, exp_cor = fcst, memb_dim = 'member', 
-#'                       sdate_dim = 'syear', window_dim = 'window')
+#'res <- QuantileMapping(exp = exp, obs = obs, exp_cor = fcst, 
+#'                       memb_dim = 'member', sdate_dim = 'syear', window_dim = 'window')
 #'@import qmap 
 #'@import multiApply 
 #'@import s2dv