# Correlation of One Variable to All Others in R (Example)

In this R tutorial you’ll learn how to calculate the correlation of one data frame column to all the others.

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## Creation of Exemplifying Data

Consider the following example data:

```set.seed(6529489) # Create example data data <- data.frame(x1 = rnorm(100), x2 = rnorm(100), x3 = rnorm(100), x4 = rnorm(100)) head(data) # Print head of example data``` Table 1 shows that our example data is constructed of the four columns “x1”, “x2”, “x3”, and “x4”.

## Example: Calculate Correlation of One Variable to All Others Using cor() Function

In this example, I’ll demonstrate how to get the Pearson correlation coefficient between a particular data frame variable with all the other variables in this data frame.

To achieve this, we can apply the cor and colnames functions as shown below:

```data_cor <- cor(data[ , colnames(data) != "x1"], # Calculate correlations data\$x1) data_cor # Print correlation values``` As visualized in Table 2, the previous code has managed to construct a correlation matrix for only one of the columns in our data set.

## Video, Further Resources & Summary

If you need more information on the R codes of this article, you might watch the following video on my YouTube channel. I demonstrate the R programming codes of this tutorial in the video:

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In addition, you may read the related articles on Statistics Globe. A selection of articles about topics such as ggplot2, variables, lists, and graphics in R is shown below.

This tutorial has demonstrated how to compute the correlation of one data frame column to many others in R. If you have additional questions and/or comments, please let me know in the comments below.

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