diff --git a/R/est.prob.R b/R/est.prob.R
index 12e459d..3a4d8b7 100644
--- a/R/est.prob.R
+++ b/R/est.prob.R
@@ -6,8 +6,6 @@
 #' 
 #' \itemize{
 #' \item \code{method = "empirical"} : generates the relative frequency of the data \code{x/sum(x)}.
-#' \item
-#' \item
 #' }
 #' 
 #' @param x a numeric vector storing count values.
@@ -18,8 +16,7 @@
 #' # generate a count vector
 #' x <- runif(100)
 #' # generate a probability vector from corresponding counts
-#' # method = "empirical"
-#' x.prob <- estimate.probability(x, method = "empirical")
+#' x.prob <- estimate.probability(x, method = 'empirical')
 #' @export
 estimate.probability <- function(x, method = "empirical"){
         
diff --git a/man/estimate.probability.Rd b/man/estimate.probability.Rd
index c2fafba..e3f433a 100644
--- a/man/estimate.probability.Rd
+++ b/man/estimate.probability.Rd
@@ -22,16 +22,13 @@ The following probability estimation methods are implemented in this function:
 
 \itemize{
 \item \code{method = "empirical"} : generates the relative frequency of the data \code{x/sum(x)}.
-\item
-\item
 }
 }
 \examples{
 # generate a count vector
 x <- runif(100)
 # generate a probability vector from corresponding counts
-# method = "empirical"
-x.prob <- estimate.probability(x, method = "empirical")
+x.prob <- estimate.probability(x, method = 'empirical')
 }
 \author{
 Hajk-Georg Drost