diff --git a/examples/A first look at R/1-Getting_Started_with_R.R b/examples/A first look at R/1-Getting_Started_with_R.R
index c608d96..3b6c427 100644
--- a/examples/A first look at R/1-Getting_Started_with_R.R	
+++ b/examples/A first look at R/1-Getting_Started_with_R.R	
@@ -141,6 +141,9 @@ dim(diamondSample)
 # For now we will see how easy it is to produce bare bones plots with 
 # the base graphics system.	
 
+# Set the font size so that it will be clearly legible.
+theme_set(theme_gray(base_size = 18))
+
 # In this sample you use ggplot2.
 ggplot(diamondSample, aes(x = carat, y = price)) +
   geom_point(colour = "blue")
diff --git a/examples/A first look at R/2-Introduction_to_ggplot2.R b/examples/A first look at R/2-Introduction_to_ggplot2.R
index 8c9d09f..4260b3e 100644
--- a/examples/A first look at R/2-Introduction_to_ggplot2.R	
+++ b/examples/A first look at R/2-Introduction_to_ggplot2.R	
@@ -4,14 +4,18 @@
 # beautiful plots by describing the plot structure.
 
 # Install and load the packages.
+options(warn = -1)
 if (!require("ggplot2", quietly = TRUE))
-    install.packages("ggplot2")
+    install.packages("ggplot2", quiet = TRUE)
 # mapproj is required for map projections.
-if (!suppressPackageStartupMessages(require("mapproj", quietly = TRUE)))
-    install.packages("mapproj")
+#if (!suppressPackageStartupMessages(require("mapproj", quietly = TRUE)))
+#    install.packages("mapproj")
+if (!require("mapproj", quietly = TRUE))
+    install.packages("mapproj", quiet = TRUE)
+options(warn = 0)
 
 library("ggplot2", quietly = TRUE)
-suppressPackageStartupMessages(library("mapproj", quietly = TRUE))
+library("mapproj", quietly = TRUE)
 
 # R has a number of built-in datasets.
 # In this example you use the dataset called quakes.
diff --git a/examples/MRS_and_Machine_Learning/Benchmarks/MRO-MKL-benchmarks.R b/examples/MRS_and_Machine_Learning/Benchmarks/MRO-MKL-benchmarks.R
index 4243538..3470115 100644
--- a/examples/MRS_and_Machine_Learning/Benchmarks/MRO-MKL-benchmarks.R
+++ b/examples/MRS_and_Machine_Learning/Benchmarks/MRO-MKL-benchmarks.R
@@ -2,8 +2,24 @@
 # computations. This script runs performance benchmarks using different 
 # numbers of threads
 
-# The test uses the package "version.compare", available on github
-# Install this package first, if it is not already installed
+# The test uses the package "version.compare", available on GitHub.
+# Install this package first, if it is not already installed.
+# It uses RevoMultiBenchmark, and so requires that Microsoft R Server be installed.
+
+# Check whether Microsoft R Server (RRE 8.0) is installed
+if (!require("RevoScaleR")) {
+    cat("RevoScaleR package does not seem to exist. 
+      \nThis means that the functions starting with 'rx' will not run. 
+      \nIf you have Microsoft R Server installed, please switch the R engine.
+      \nFor example, in R Tools for Visual Studio: 
+      \nR Tools -> Options -> R Engine. 
+      \nIf Microsoft R Server is not installed, you can download it from: 
+      \nhttps://www.microsoft.com/en-us/server-cloud/products/r-server/
+      \n")
+
+    quit()
+    }
+
 
 if (!require("version.compare")){
   (if (!require("devtools")) install.packages("devtools"))
@@ -30,6 +46,7 @@ threadsToTest <- if(exists("setMKLthreads")){
   1
 }
 
+
 # Run the benchmark tests
 # Set scale.factor to 1 for the full tests, lower than 1 for tests on 
 # reduces data set sizes