Adding data points to the violin plot

The width of a dot corresponds to the bin width in the case of a dot plot. This is followed by the case where the dots are stacked, where each of the dots represents one observation. To add data points we use geom_dotplot() after creating a violinplot.

Syntax:

geom_dotplot(mapping = NULL,data = NULL,binwidth = NULL,binaxis = “x”,stackdir = “up”)

Parameter : 

  • mapping – Set of aesthetic mappings created by aes()
  • data – The data to be displayed
  • binaxis –  The axis to bin along, “x”  or “y”
  • stackdir – Defines the direction in which the dots should be stacked
  • dotsize – The diameter of the dots relative to binwidth

Example: Adding data points to violin plot.

R




# defining the columns of the data frame
data_frame <- data.frame(col1=c(rep("A", 10) , rep("B", 12) , rep("C", 18)),
                         col2=c( sample(2:5, 10 , replace=T) ,
                                sample(4:10, 12 , replace=T),
                                sample(1:7, 18 , replace=T))
                         )
 
# plotting the data frame
ggplot(data_frame, aes(x = col1, y = col2, fill = col1)) +
 
# adding violin plot
  geom_violin(alpha = 0.5) +
  geom_dotplot(binaxis = "y",
               stackdir = "center",
               dotsize = 0.5)


Output:

Violinplot with Data Points in R

How To Make Violinplot with Data Points in R?

In this article, we will discuss how to make violinplot with data points in the R programming language.

A violin plot is a compact display of a continuous distribution. The geom_violin() method in R is used to construct a violin plot in the working space which understands various aesthetic mappings, like alpha, color or fill.

Syntax:

geom_violin()

To construct a regular violin plot simply call the geom_violin() function after the visualization.

Example: A regular violin plot.

R




library("ggplot2")
 
# defining the columns of the data frame
data_frame <- data.frame(col1=c(rep("A", 10) , rep("B", 12) , rep("C", 18)),
                        col2=c( sample(2:5, 10 , replace=T) ,
                                sample(4:10, 12 , replace=T),
                                sample(1:7, 18 , replace=T))
)
 
# plotting the data frame
ggplot(data_frame, aes(x = col1, y = col2, fill = col1)) +
 
 # adding violin plot
 geom_violin()


Output:

Violinplot with Data Points in R

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