ggplot multipanel figure different legend different sizes

Let us fix that by replacing it to just Year. Let us do three simple customizations.įirst, note that legend of the grouped boxplot we just made still says “factor(year)”. Let us customize the grouped boxplot a bit. Grouped Boxplot in ggplot2 Customizing Grouped Boxplot with ggplot2 For each continent, we have three boxplots one for each year. Now we have a nice grouped boxplot as we originally intended. Ggplot(aes(x=continent, y=lifeExp, fill=factor(year))) + We can specify that the year is categorical variable by using factor(year) and giving that to the fill argument inside aesthetics. In order to make grouped boxplot using ggplot2, the group variable should be a categorical variable not numerical. Grouped Boxplot: First Try Making Grouped Boxplot with ggplot2 That is the reason we did not get the grouped boxplot. The reason is that if you look at the type of the variable “year” (see with head(gapminder)), you can see that the variable year is of “int” type. However, the resulting boxplot is just a simple boxplot, not a grouped boxplot as we wanted. Ggplot(aes(x=continent, y=lifeExp, fill=year)) + For the sake of simplicity, we just have one geom layer geom_boxplot(). Since we want to use year as grouping variable, we can simply specify “fill=year” in addition to the x-axis and y-axis, and make a boxplot with geom_boxplot(), as shown below. We will use filter function in dplyr to filter the data for the three years of interest and feed the resulting data frame for making a grouped boxplot. Let us make a simpler data frame with just data for three years, 1952,1987, and 2007. Our gapminder data frame has year variable and has data from multiple years. Let us say, we want to make a grouped boxplot showing the life expectancy over multiple years for each continent. The key idea to make a grouped boxplot is to use fill argument inside ggplot’s aesthetics. Let us make grouped boxplot using the gapminder dataset with ggplot. Simple Boxplot with ggplot2 Making Grouped Boxplot with ggplot2: First Try Then we ad two layers of geom, geom_boxplot for showing the boxplot and geom_jitter for showing the data points with jitter. In addition, we also specify “fill=continent” to color out boxplots by continent.

Note that we specify x-axis and y-axis variables in the aesthetics. Ggplot(aes(x=continent,y=lifeExp, fill=continent)) +

Let us first make a simple boxplot showing the actual data with jitter. The gapminder data frame has six columns or variables, therefore it is ideal to illustrate grouped boxplots with ggplot2.Ĭountry. Let us have a peek at the gapminder data set. Let us load tidyverse and gapminder data package. In R, ggplot2 package offers multiple options to visualize such grouped boxplots. In those situation, it is very useful to visualize using “grouped boxplots”. Sometimes, you may have multiple sub-groups for a variable of interest. ggplot2 is great to make beautiful boxplots really quickly. Boxplots are great to visualize distributions of multiple variables.

Ggplot multipanel figure different legend different sizes