The corrplot() function is used to plot a correlation matrix in R. This function provides a visual representation of the correlation matrix, making it easier to understand the relationships between variables.

In this article, we will explore how to use the corrplot() function in R to create a correlation matrix with examples.

Method: Use corrplot() Function

To plot a correlation matrix, we need to load the corrplot package and use the corrplot() function.

Here’s the syntax:

library(corrplot)

corrplot(correlation_matrix)

The following example shows how to use the corrplot() function to plot a correlation matrix in R.

Using corrplot() Function

Suppose we want to plot a correlation matrix created from a data frame.

First, we need to use the cor() function to create the correlation matrix, and then we can use the corrplot() function to plot it:

# Import library
library(corrplot)

# Create data frame
df <- data.frame(Pressure1=c(78.2, 88.2, 71.7, 80.21, 84.21, 82.56, 72.12, 73.85),
                 Temperature=c(35, 36, 37, 38, 32, 30, 31, 34),
                 Pressure2=c(12, 13, 11, 12, 14, 15, 13, 15))

# Create correlation matrix
correlation_matrix <- cor(df)

# Plot correlation matrix
corrplot(correlation_matrix)

Output: 👇️

Correlation matrix

In this example, the cor() function calculates the correlation matrix for the Pressure1, Temperature, and Pressure2 columns of the data frame, and the corrplot() function plots the correlation matrix.