The R ggplot2 Jitter is very useful to handle the overplotting caused by the smaller datasets discreteness. In this article we will show you, How to plot a ggplot jitter, Format its color, change the labels, adding boxplot, violin plot, and alter the legend position using R ggplot2 with example.
Syntax of a R ggplot Jitter
The basic syntax to draw a ggplot jitter in R Programming is as shown below
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geom_jitter(data = NULL, width = NULL, height = NULL) |
and the complex syntax behind this Jitter is:
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geom_jitter(mapping = NULL, data = NULL, stat = "identity", width = NULL, height = NULL, position = "jitter", ..., na.rm = FALSE, show.legend = NA, inherit.aes = TRUE) |
TIP: ggplot2 package is not installed by default. Please refer Install R Packages article to understand the steps involved in installing a package.
Create R ggplot2 Jitter
In this example we will show you, How to plot the Jitter using the ggplot2 package, and we are going to use the ChickWeight data set, provided by the R Studio.
NOTE: If your requirement is to import data from external files then please refer R Read CSV article to understand the steps involved in csv file import
R CODE
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# Create R ggplot Jittering # Importing the ggplot2 library library(ggplot2) # Creating basic Jitter ggplot(ChickWeight, aes(x = Diet, y = weight)) + geom_jitter() |
OUTPUT
Change Colors of a Jiiter in R
In this example we will show you, How to change the Jitter plot dot colors using colour argument
R CODE
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# Change Color of a R ggplot Jitter # Importing the ggplot2 library library(ggplot2) # Creating basic Jitter ggplot(ChickWeight, aes(x = Diet, y = weight)) + geom_jitter(aes(colour = Diet)) |
OUTPUT
Position adjustment in a R ggplot2 Jitter
In this example we will show you, How to adjust the dot positions using position argument
R CODE
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# Position adjustment of a R ggplot Jitter # Importing the ggplot2 library library(ggplot2) # Creating basic Jitter ggplot(ChickWeight, aes(x = Diet, y = weight)) + geom_jitter(position = position_jitter(0.5), aes(colour = Diet)) |
OUTPUT
Change Size, and Shape of a dot in a R ggplot2 Jitter
In this example we will show you, How to change the size of the character that represents the point using cex argument, and shape of the character using shape argument.
- cex: Please specify the size of the point(s)
R CODE
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# Change Shape & Size of a Point in a R ggplot Jitter # Importing the ggplot2 library library(ggplot2) # Creating basic Jitter ggplot(ChickWeight, aes(x = Diet, y = weight)) + geom_jitter(position = position_jitter(0.5), aes(colour = Diet), cex = 1.8, shape = 8) |
OUTPUT
Change Width, and Height of a R ggplot2 Jitter
In this example we will show you, How to change the width, and height of the jitter plot
R CODE
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# Change Width & Height of a R ggplot Jitter # Importing the ggplot2 library library(ggplot2) # Creating basic Jitter ggplot(ChickWeight, aes(x = Diet, y = weight)) + geom_jitter(aes(colour = Diet), width = 1.4, height = 500) |
OUTPUT
Add Mean & Median to R ggplot2 Jitter
In this example we will show you, How to add Mean, and Median value to Jitter plot using stat_summary function
R CODE
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# Add Mean & Median to R ggplot Jitter # Importing the ggplot2 library library(ggplot2) # Creating basic Jitter ggplot(ChickWeight, aes(x = Diet, y = weight)) + geom_jitter(position = position_jitter(0.5), aes(colour = Diet)) + stat_summary(fun.y = "mean", geom = "point", shape = 8, size = 3, color = "darkorchid4" ) + stat_summary(fun.y = "median", geom = "point", shape = 2, size = 3, color = "mediumvioletred") |
OUTPUT
Add Boxplot to R ggplot2 Jitter
In this example we will show you, How to add boxplot to R Jitter using geom_boxplot function. This can help us to see the Median, along with the quartile for our violin plot.
TIP: Please refer R ggplot2 Boxplot article to understand the Boxplot arguments.
R CODE
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# Add Boxplot to R ggplot Jitter # Importing the ggplot2 library library(ggplot2) # Creating basic Jitter ggplot(ChickWeight, aes(x = Diet, y = weight)) + geom_boxplot() + geom_jitter(position = position_jitter(0.5), aes(colour = Diet)) |
OUTPUT
Add Boxplot to R ggplot2 jitter 2
In this example we will show you, How to draw a line on each side of the boxes using notch argument
R CODE
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# Add Boxplot to R ggplot Jitter # Importing the ggplot2 library library(ggplot2) # Creating basic Jitter ggplot(ChickWeight, aes(x = Diet, y = weight)) + geom_boxplot(notch = TRUE) + geom_jitter(position = position_jitter(0.5), aes(colour = Diet)) |
OUTPUT
Add Violin plot to R ggplot2 Jitter
In this example we will show you, How to add Violin Plot to Jitter using geom_violin function.
TIP: Please refer R ggplot2 Violin Plot article to understand the Violin plot arguments.
R CODE
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# Add Violin Plot to R ggplot Jitter # Importing the ggplot2 library library(ggplot2) # Creating basic Jitter ggplot(ChickWeight, aes(x = Diet, y = weight, color = Diet)) + geom_violin(fill = "midnightblue") + geom_jitter(position = position_jitter(0.2)) |
OUTPUT
Alter Legend position of a R ggplot2 Jitter
By default ggplot will position the legend at the right side of a Jitter. In this example we will show you, How to change the legend position from right to top. Note, You can use legend.position = “none” to completely remove the legend.
R CODE
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# Alter Legend Position in R ggplot Jitter # Importing the ggplot2 library library(ggplot2) # Creating basic Jitter ggplot(ChickWeight, aes(x = Diet, y = weight, color = Diet)) + geom_violin(fill = "midnightblue") + geom_jitter(position = position_jitter(0.2)) + theme(legend.position = "top") |
OUTPUT
Assigning names to R ggplot Jitter
In this example we will show you, How to assign names to ggplot jitter plot, X-Axis, and Y-Axis using labs function
R CODE
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# Alter Legend Position in R ggplot Jitter # Importing the ggplot2 library library(ggplot2) # Creating basic Jitter ggplot(ChickWeight, aes(x = Diet, y = weight, color = Diet)) + geom_violin(fill = "midnightblue") + geom_jitter(position = position_jitter(0.2)) + theme(legend.position = "top") |
OUTPUT
Change R ggplot2 Jitter Theme
In this example we will show you, How to change the default theme of a ggplot jitter
- theme_dark(): We will use this function to change the jitter default theme to dark. If you type theme_ then R Studio intelligence will show you the list of available options. For example, theme_grey()
R CODE
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# Change the Theme of a R ggplot Jitter # Importing the ggplot2 library library(ggplot2) # Creating basic Jitter ggplot(ChickWeight, aes(x = Diet, y = weight, color = Diet)) + geom_violin(fill = "midnightblue") + geom_jitter(position = position_jitter(0.2)) + labs(title="GGPLOT JITTER", x="Chick Diet", y="Weight") + theme_dark() |
OUTPUT
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