diff --git a/R/Sampling.R b/R/Sampling.R
index f97b024e..0f595fd6 100644
--- a/R/Sampling.R
+++ b/R/Sampling.R
@@ -23,10 +23,10 @@
 #'
 #' @param type              (character) Choice of:  \itemize{
 #'                                         \item 'none' No sampling is applied - this is the default
-#'                                         \item 'underSample' Undersample the non-outcome class to make the data more ballanced
+#'                                         \item 'underSample' Undersample the non-outcome class to make the data more balanced
 #'                                         \item 'overSample' Oversample the outcome class by adding in each outcome multiple times
 #'                                         } 
-#' @param numberOutcomestoNonOutcomes   (numeric) An numeric specifying the require number of non-outcomes per outcome 
+#' @param numberOutcomestoNonOutcomes   (numeric) A numeric specifying the required number of outcomes per non-outcomes 
 #' @param sampleSeed         (numeric) A seed to use when splitting the data for reproducibility (if not set a random number will be generated)
 #'
 #' @return
@@ -44,6 +44,10 @@ createSampleSettings <- function(type = 'none',
     stop('Incorrect type.  Pick: none/underSample/overSample')
   }
   
+  if(type %in% c('underSample', 'overSample')){
+    ParallelLogger::logWarn('The previous documentation for `numberOutcomestoNonOutcomes` used to not reflect the functionality and has now been changed. The user needs to make sure the code is not relying on what was in the docs previously.')
+  }
+  
   sampleSettings <- list(
     numberOutcomestoNonOutcomes = numberOutcomestoNonOutcomes,
     sampleSeed  = ifelse(type == 'none', 1, sampleSeed) # to make it the same for none
diff --git a/man/createSampleSettings.Rd b/man/createSampleSettings.Rd
index 9c8d0b91..1f5405b2 100644
--- a/man/createSampleSettings.Rd
+++ b/man/createSampleSettings.Rd
@@ -14,11 +14,11 @@ createSampleSettings(
 \arguments{
 \item{type}{(character) Choice of:  \itemize{
 \item 'none' No sampling is applied - this is the default
-\item 'underSample' Undersample the non-outcome class to make the data more ballanced
+\item 'underSample' Undersample the non-outcome class to make the data more balanced
 \item 'overSample' Oversample the outcome class by adding in each outcome multiple times
 }}
 
-\item{numberOutcomestoNonOutcomes}{(numeric) An numeric specifying the require number of non-outcomes per outcome}
+\item{numberOutcomestoNonOutcomes}{(numeric) A numeric specifying the required number of outcomes per non-outcomes}
 
 \item{sampleSeed}{(numeric) A seed to use when splitting the data for reproducibility (if not set a random number will be generated)}
 }