1 Goal


The goal of this tutorial is to show a sample of complete themes that can be used to customize plots in order to use them in presentations or reports. We can change the colours of the plot by defining a theme rather than changing everything by hand.


2 Drawing with ggplot


# First we load the libraries
library(ggplot2)

# In this example we will use the open repository of plants classification Iris. 
data("iris")
str(iris)
## 'data.frame':    150 obs. of  5 variables:
##  $ Sepal.Length: num  5.1 4.9 4.7 4.6 5 5.4 4.6 5 4.4 4.9 ...
##  $ Sepal.Width : num  3.5 3 3.2 3.1 3.6 3.9 3.4 3.4 2.9 3.1 ...
##  $ Petal.Length: num  1.4 1.4 1.3 1.5 1.4 1.7 1.4 1.5 1.4 1.5 ...
##  $ Petal.Width : num  0.2 0.2 0.2 0.2 0.2 0.4 0.3 0.2 0.2 0.1 ...
##  $ Species     : Factor w/ 3 levels "setosa","versicolor",..: 1 1 1 1 1 1 1 1 1 1 ...
# Let's plot the petal length vs petal width
ggplot() + geom_point(data = iris, aes(x = Petal.Width, y = Petal.Length,color = Species))


3 Basic themes

3.1 Default theme


# The default theme of ggplot if the grey theme
# It can be called as theme_grey or theme_gray
ggplot() + geom_point(data = iris, aes(x = Petal.Width, y = Petal.Length,color = Species)) + theme_grey()