remove dontrun from examples

computers are faster nowadays...

R/selection_funs.R

@@ -51,11 +51,12 @@ make_range_list <- function(call, method) {
 ##' @param .variables names of the variables the modifier shall be
 ##'   applied to
 ##' @examples
-##' \dontrun{
 ##' my_calib <- dcc(rt_spruce, list(prec = rt_prec, temp = rt_temp),
 ##'   .range(4:9, "temp") + .mean(-5:-9, "temp") + .sum(3:10, "prec"))
 ##' plot(my_calib)
-##' }
+##' @return An object of class `tc_paramlist` defining a list of climate variables 
+##' for further processing, consisting of specifications for the time frame (months)
+##' and the selected variables.
 NULL
 
 ##' @rdname treeclim-modifiers

R/skills.R

@@ -98,13 +98,11 @@
 ##'   Durbin, J, Watson, GS (1951) Testing for serial correlation in
 ##'   least squares regression. Biometrika 38:159-78.
 ##' @examples
-##' \dontrun{
 ##' dc <- dcc(muc_fake, muc_clim, .mean(6:9, "temp") + .sum(6:9,
 ##' "prec"))
 ##' sk <- skills(dc)
 ##' sk
 ##' plot(sk)
-##' }
 ##' @import lmtest
 ##' @import lmodel2
 ##' @export

R/traceplot.R

@@ -13,10 +13,8 @@
 ##'   variables?
 ##' @return an object of class "gg".
 ##' @examples
-##' \dontrun{
 ##' dc_resp <- dcc(muc_spruce, muc_clim, 4:9, dynamic = "evolving")
 ##' traceplot(dc_resp, c("prec.curr.may", "prec.curr.jun"))
-##' }
 ##' @import ggplot2
 ##' @export
 traceplot <- function(x, variables = NULL, facet = FALSE) {