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Side by Side Scatter charts in R

  • Last Updated : 21 Jul, 2021

In this article, we will discuss how to make side by side scatter plot in R Programming Language.

Method 1: Using par() function

Here we will use par() function to divide frames into grids.

Syntax: par(mfrow, mar, mgp, las)

Parameters:



  • mfrow: A numeric vector of length 2, which sets the rows and column in which frame has to be divided.
  • mar: A numeric vector of length 4, which sets the margin sizes in the following order: bottom, left, top, and right.
  • mgp: A numeric vector of length 3, which sets the axis label locations relative to the edge of the inner plot window.
  • las: A numeric value indicating the orientation of the tick mark labels and any other text added to a plot after its initialization.

Here, by changing row and column values, we can draw graphs in them. For drawing side-by-side plots we will keep row as 1 and column as the no. of plots required.

R




# Define data-set columns
x1 <- c(31,13,25,31,16,12,23,43,12,22,45,32)
x2 <- c(12,23,43,12,22,45,32,31,13,25,31,16,21) 
  
# set the plotting area into a 1*2 array
par(mfrow = c(1,2))    
  
# Draw the two scatter chart using above datasets
plot(x1, col="red")
plot(x2, col="blue")

Output:

Method 2: Using ggplot2

Here we will use gridExtra contains a function called arrange() that is used to arrange plots as desired.

Syntax: grid.arrange(plot, nrow, ncol)

Parameter:

  • plot: ggplot2 plot which we want to arrange
  • nrow: Number of rows
  • ncol: Number of columns

Here, by changing nrow and ncol values, we can draw graphs in them. For drawing side-by-side plots we will keep nrow as 1 and ncol as the no. of plots required.

R




# Define data-set columns
x1 <- c(31,13,25,31,16)
x2 <- c(12,23,43,12,22,45,32) 
x3 <- c(234,123,210)
  
label1 <- c('geek','geek-i-knack',
            'technical-scipter',
            'content-writer',
            'problem-setter')
  
label2 <- c('sun','mon','tue',
            'wed','thur','fri','sat')
  
label3 <- c('solved','attempted','unsolved')
  
# Create data frame using above data column
data1 <- data.frame(x1,label1)
data2 <- data.frame(x2,label2)
data3 <- data.frame(x3,label3)
  
# set the plotting area into a 1*3 array
par(mfrow = c(1,3))
  
# import library ggplot2 and gridExtra
library(ggplot2)
library(gridExtra)
  
# Draw the three scatter chart using above datasets
plot1<-ggplot(data1, aes(x=label1, y=x1, group=1)) +
geom_point(color="green")
  
plot2<-ggplot(data2, aes(x=label2, y=x2, group=1)) +
geom_point()
  
plot3<-ggplot(data3, aes(x=label3, y=x3, group=1)) +
geom_point(color=c("red","yellow","blue"))
  
# Use grid.arrange to put plots in columns
grid.arrange(plot1, plot2, plot3, ncol=3)

Output:




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