diff --git a/R/pcurves.R b/R/pcurves.R
index 5429f39..efa9bd1 100644
--- a/R/pcurves.R
+++ b/R/pcurves.R
@@ -1,36 +1,37 @@
-#' @title  Plot pcurve
-#' @description
-#' Using the R package meta to calculate a random effects meta-analysis based on estimates (e.g. log hazard ratios) and their standard errors. Afterwards using dmetar package to create a pcurve plot.
-#' @param yi
-#' A \code{string} of the variable which holds the vector of length k with the observed effect sizes or outcomes in the selected dataset (d)
-#' @param vi
-#' A \code{string} of the variable which holds the vector of length k with the corresponding sampling variances in the selected dataset (d)
-#' @param d
-#' A \code{string} representing the dataset name that should be used for fitting.
-#' @param measure
-#' A character string indicating underlying summary measure
-#' @return returns a pcurve plot
-#' @author Robert Studtrucker
-#' @export
-pcurves<-function(yi,vi,measure,d) {
-
-  requireNamespace("dmetar")
-  requireNamespace("meta")
-
-
-  #load the in variable d defined dataset from the package
-  dat <- checkData(d)
-  checkParameter(dat,c(yi,vi))
-
-#Filtern auf nur peer reviewed arcticles
-dat<-dat[dat$r_peer=="yes",]
-
-# meta-Model
-overall.meta <- meta::metagen(TE=dat[,yi], seTE=sqrt(dat[,vi]),data = dat, studlab = paste(r_author),
-                        comb.fixed = FALSE,comb.random = TRUE,method.tau = "SJ",
-                        hakn = TRUE,prediction = TRUE,sm = measure)
-
-# p-curve
-dmetar::pcurve(overall.meta)
-
-}
+#' @title  Plot pcurve
+#' @description
+#' Using the R package meta to calculate a random effects meta-analysis based on estimates (e.g. log hazard ratios) and their standard errors. Afterwards using dmetar package to create a pcurve plot.
+#' @param yi
+#' A \code{string} of the variable which holds the vector of length k with the observed effect sizes or outcomes in the selected dataset (d)
+#' @param vi
+#' A \code{string} of the variable which holds the vector of length k with the corresponding sampling variances in the selected dataset (d)
+#' @param d
+#' A \code{string} representing the dataset name that should be used for fitting.
+#' @param measure
+#' A character string indicating underlying summary measure
+#' @return returns a pcurve plot
+#' @author Robert Studtrucker
+#' @export
+pcurves<-function(yi,vi,measure,d) {
+
+  requireNamespace("dmetar")
+  requireNamespace("meta")
+
+
+  #load the in variable d defined dataset from the package
+  #dat <- checkData(d)
+  dat <- d
+  checkParameter(dat,c(yi,vi))
+
+#Filter peer reviewed articles
+dat<-dat[dat$r_peer=="yes",]
+
+# meta-Model
+overall.meta <- meta::metagen(TE=dat[,yi], seTE=sqrt(dat[,vi]),data = dat, studlab = paste(r_author),
+                        comb.fixed = FALSE,comb.random = TRUE,method.tau = "SJ",
+                        hakn = TRUE,prediction = TRUE,sm = measure)
+
+# p-curve
+dmetar::pcurve(overall.meta)
+
+}