Create Pair Plots in Base R
To create a Pair Plot in the R Language, we use the pairs() function. The pairs function is provided in R Language by default and it produces a matrix of scatterplots. The pairs() function takes the data frame as an argument and returns a matrix of scatter plots between each pair of variables in the data frame.
Syntax: pairs( df )
Parameter:
- df: determines the data frame used for plotting to scatter plot.
Example:
Here, is a basic Pair Plot in Base R.
R
# create sample_data x <- rnorm(500) y <- x + rnorm(500, 0, 10) z <- x - rnorm(500, 0, 7) sample_data <- data.frame(x, y, z) #create pairs plot pairs( sample_data ) |
Output:
Here, in the above pair plot, diagonal boxes show the name of variables x, y, and z. All other boxes display a scatterplot between each pairwise combination of variables. For example, the second box shows a scatterplot between x and y whereas the third box shows a scatter plot between x and z.
The problem with this pair plot is that this doesn’t give us any statistical information about variables and there are only three distinguished scatter plots out of six in the above figure as x-z and z-x plot is same, y-x and x-y plot is same, and y-z and z-y plot is same. So, there is a wastage of space as well as the absence of relational data. To solve this we use the ggplot2 package.
How to Create and Interpret Pairs Plots in R?
In this article, we will discuss how to create and interpret Pair Plots in the R Language.
The Pair Plot helps us to visualize the distribution of single variables as well as relationships between two variables. They are a great method to identify trends between variables for follow-up analysis. Pair plots are essentially multipanel scatter plots where every different panel contains a scatter plot between a pair of variables.
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