travis config update

.travis.yml

@@ -5,14 +5,14 @@ sudo: false
 cache: packages
 
 r:
-  - oldrel
   - release
   - devel
 
 r_check_args: '--as-cran --use-valgrind'
 
 env:
   - VALGRIND_OPTS='--leak-check=full --track-origins=yes'
+  - _R_CHECK_SYSTEM_CLOCK_=false
 
 addons:
   apt:

DESCRIPTION

@@ -23,5 +23,5 @@ License: GPL-3
 LazyData: TRUE
 URL: http://github.com/happma/WMWssp
 BugReports: http://github.com/happma/WMWssp/issues
-RoxygenNote: 6.0.1
+RoxygenNote: 6.1.1
 Suggests: testthat

R/samplesize.R

@@ -23,7 +23,7 @@
 #' @return \item{N}{The total sample size which was used.}
 #' @example R/example_maximize.txt
 #' @references Brunner, E., Bathke A. C. and Konietschke, F. Rank- and Pseudo-Rank Procedures in Factorial Designs - Using R and SAS. Springer Verlag. to appear.
-#' @references Happ, M., Bathke, A. C., & Brunner, E. (2018). Optimal Sample Size Planning for the Wilcoxon-Mann-Whitney-Test. arXiv preprint arXiv:1805.12249.
+#' @references Happ, M., Bathke, A. C., & Brunner, E. (2019). Optimal Sample Size Planning for the Wilcoxon-Mann-Whitney-Test. Statistics in medicine, 38(3), 363-375.
 #' @keywords export
 WMWssp_maximize = function(x, y, alpha = 0.05, N){
   stopifnot(all(is.finite(x)), all(is.finite(y)),
@@ -108,7 +108,7 @@ WMWssp_maximize = function(x, y, alpha = 0.05, N){
 #' @return \item{power}{The power which was used.}
 #' @return \item{N}{The minimized sample size.}
 #' @references Brunner, E., Bathke A. C. and Konietschke, F. Rank- and Pseudo-Rank Procedures in Factorial Designs - Using R and SAS. Springer Verlag. to appear.
-#' @references Happ, M., Bathke, A. C., & Brunner, E. (2018). Optimal Sample Size Planning for the Wilcoxon-Mann-Whitney-Test. arXiv preprint arXiv:1805.12249.
+#' @references Happ, M., Bathke, A. C., & Brunner, E. (2019). Optimal Sample Size Planning for the Wilcoxon-Mann-Whitney-Test. Statistics in medicine, 38(3), 363-375.
 #' @example R/example_minimize.txt
 #' @keywords export
 WMWssp_minimize = function(x, y, alpha = 0.05, power = 0.8, simulation = FALSE, nsim = 10^4){
@@ -209,7 +209,7 @@ WMWssp_minimize = function(x, y, alpha = 0.05, power = 0.8, simulation = FALSE,
 #' @return \item{power}{The power which was used.}
 #' @return \item{N}{The sample size needed.}
 #' @references Brunner, E., Bathke A. C. and Konietschke, F. Rank- and Pseudo-Rank Procedures in Factorial Designs - Using R and SAS. Springer Verlag. to appear.
-#' @references Happ, M., Bathke, A. C., & Brunner, E. (2018). Optimal Sample Size Planning for the Wilcoxon-Mann-Whitney-Test. arXiv preprint arXiv:1805.12249.
+#' @references Happ, M., Bathke, A. C., & Brunner, E. (2019). Optimal Sample Size Planning for the Wilcoxon-Mann-Whitney-Test. Statistics in medicine, 38(3), 363-375.
 #' @example R/example_ssp.txt
 #' @keywords export
 WMWssp=function(x,y,alpha=0.05,power=0.8, t = 1/2, simulation = FALSE, nsim = 10^4){