diff --git a/R/ds.asCharacter.R b/R/ds.asCharacter.R
index 623e43db..dfc68ee5 100644
--- a/R/ds.asCharacter.R
+++ b/R/ds.asCharacter.R
@@ -44,7 +44,8 @@
 #'   # Converting the R object into a class character
 #'   ds.asCharacter(x.name = "D$LAB_TSC",
 #'                  newobj = "char.obj",
-#'                  datasources = connections[1]) #only the first Opal server is used ("study1")
+#'                  datasources = connections[1]) #only the first Opal server
+#'                                                #is used ("study1")
 #'                  
 #'   # Clear the Datashield R sessions and logout                 
 #'   datashield.logout(connections) 
diff --git a/R/ds.asDataMatrix.R b/R/ds.asDataMatrix.R
index bdfa9fdd..a49edce4 100644
--- a/R/ds.asDataMatrix.R
+++ b/R/ds.asDataMatrix.R
@@ -43,7 +43,8 @@
 #'   # Converting the R object into a matrix
 #'   ds.asDataMatrix(x.name = "D",
 #'                   newobj = "mat.obj",
-#'                   datasources = connections[1]) #only the first Opal server is used ("study1")
+#'                   datasources = connections[1]) #only the first Opal server
+#'                                                 #is used ("study1")
 #'                  
 #'   # Clear the Datashield R sessions and logout                 
 #'   datashield.logout(connections) 
diff --git a/R/ds.asInteger.R b/R/ds.asInteger.R
index 0e9670df..b2457de7 100644
--- a/R/ds.asInteger.R
+++ b/R/ds.asInteger.R
@@ -57,7 +57,8 @@
 #'   # Converting the R object into an integer
 #'   ds.asInteger(x.name = "D$LAB_TSC",
 #'                   newobj = "int.obj",
-#'                   datasources = connections[1]) #only the first Opal server is used ("study1")
+#'                   datasources = connections[1]) #only the first Opal server
+#'                                                 #is used ("study1")
 #'   ds.class(x = "int.obj", datasources = connections[1])   
 #'   
 #'   # Clear the Datashield R sessions and logout                 
diff --git a/R/ds.asNumeric.R b/R/ds.asNumeric.R
index 803a6308..f24fc76b 100644
--- a/R/ds.asNumeric.R
+++ b/R/ds.asNumeric.R
@@ -57,7 +57,8 @@
 #'   # Converting the R object into a numeric class
 #'   ds.asNumeric(x.name = "D$LAB_TSC",
 #'                   newobj = "num.obj",
-#'                   datasources = connections[1]) #only the first Opal server is used ("study1")
+#'                   datasources = connections[1]) #only the first Opal server
+#'                                                 #is used ("study1")
 #'   ds.class(x = "num.obj", datasources = connections[1]) 
 #'                 
 #'   # Clear the Datashield R sessions and logout                 
diff --git a/R/ds.completeCases.R b/R/ds.completeCases.R
index 107f70de..5cd3b572 100644
--- a/R/ds.completeCases.R
+++ b/R/ds.completeCases.R
@@ -55,13 +55,16 @@
 #'                    newobj = "D.completeCases", # name for the output object 
 #'                                                # that is stored in the Opal servers
 #'                    datasources = connections)  # All Opal servers are used 
-#'                                                # (see above the connection to the Opal servers)
+#'                                                # (see above the connection to
+#'                                                # the Opal servers)
 #'                  
-#'   ds.completeCases(x1 = "D$LAB_TSC", #vector (variable) of the data frames in the Opal servers 
+#'   ds.completeCases(x1 = "D$LAB_TSC", #vector (variable) of the data frames in
+#'                                      #the Opal servers 
 #'                                      #(see above the connection to the Opal servers)
 #'                    newobj = "LAB_TSC.completeCases", #name for the output variable 
 #'                                                      #that is stored in the Opal servers
-#'                    datasources = connections[2]) #only the second Opal server is used ("study2")
+#'                    datasources = connections[2]) #only the second Opal server
+#'                                                  #is used ("study2")
 #'                    
 #'   # Clear the Datashield R sessions and logout
 #'   datashield.logout(connections) 
diff --git a/R/ds.dataFrame.R b/R/ds.dataFrame.R
index ccd671c4..3e222ccc 100644
--- a/R/ds.dataFrame.R
+++ b/R/ds.dataFrame.R
@@ -80,7 +80,8 @@
 #'                completeCases = TRUE, #only rows with not missing values are selected
 #'                DataSHIELD.checks = FALSE,
 #'                newobj = "df1",
-#'                datasources = connections[1], #only the first Opal server is used ("study1")
+#'                datasources = connections[1], #only the first Opal server
+#'                                              #is used ("study1")
 #'                notify.of.progress = FALSE)
 #'
 #'
diff --git a/R/ds.dataFrameSort.R b/R/ds.dataFrameSort.R
index f8fc52f7..60a5bbdf 100644
--- a/R/ds.dataFrameSort.R
+++ b/R/ds.dataFrameSort.R
@@ -70,7 +70,8 @@
 #'                    sort.descending = TRUE,
 #'                    sort.method = "numeric",
 #'                    newobj = "df.sort",
-#'                    datasources = connections[1]) #only the first Opal server is used ("study1")
+#'                    datasources = connections[1]) #only the first Opal server
+#'                                                  #is used ("study1")
 #'                    
 #'   # Clear the Datashield R sessions and logout                 
 #'   datashield.logout(connections) 
diff --git a/R/ds.densityGrid.R b/R/ds.densityGrid.R
index d617dd73..23e88658 100644
--- a/R/ds.densityGrid.R
+++ b/R/ds.densityGrid.R
@@ -69,10 +69,11 @@
 #'   ds.densityGrid(x="D$LAB_TSC",
 #'                  y="D$LAB_HDL",
 #'                  type="split"
-#'                  datasources = connections[1])#only the first Opal server is used ("study1")
+#'                  datasources = connections[1])#only the first Opal server
+#'                                               #is used ("study1")
 #'
-#'   # Example3: generate a grid density object where the number of intervals is set to 15, for
-#'               each study separately
+#'   # Example3: generate a grid density object where the number of intervals is set to 15,
+#'   #           for each study separately
 #'   ds.densityGrid(x="D$LAB_TSC",
 #'                  y="D$LAB_HDL",
 #'                  type="split",