Control the Size of the Points in a Scatterplot in R
In this article, we are going to see how to control the size of the points in a scatterplot in R Programming language.
We will Control the size of the points in a scatterplot using cex argument of the plot function. In this approach to control the size of the points in a scatterplot, the user needs to call the in-built function plot() and using the cex parameter which will take input value as a float in this function of control the size of the points of the given scatterplot in r language.
Syntax: plot( Data_x, Data_y, cex)
Example 1: Increase the point size in a scatterplot.
In this function, we will be increasing the size of the points of the given scatterplot using the cex argument of the plot function of r language. Here cex will be set to 4 which will increase the size of the points of the scatterplot.
Python3
x = c( 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 ) y = c( 7 , 9 , 6 , 2 , 8 , 1 , 3 , 4 , 5 , 8 ) plot(x, y, cex = 4 ) |
Output:
Example 2: Decreasing the point size in a scatterplot.
In this function, we will be decreasing the size of the points of the given scatterplot using the cex argument of the plot function of r language. Here cex will be set to 0.6 which will decrease the size of the points of the scatterplot.
R
x = c (1, 2, 3, 4, 5, 6, 7, 8, 9, 10) y = c (7, 9, 6, 2, 8, 1, 3, 4, 5, 8) plot ( x, y, cex = 0.6) |
Output: