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Discover how to efficiently replace numeric columns with their mean values using dplyr in R, while preserving specific columns.
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How to Replace Numeric Columns with Mean Values Using dplyr in R

In data analysis, it's not uncommon to want to adjust or transform data to suit the needs of your analysis. One common task is to replace certain columns in a dataset with their mean values. This can be particularly useful when you want to simplify a dataset or fill in missing values intelligently. In this post, we'll explore how to use the dplyr package in R to achieve this task efficiently.

The Problem

Suppose you have a data frame like the following:

[[See Video to Reveal this Text or Code Snippet]]

You want to replace all numeric columns except for y2 with their mean values. The desired output should look like this:

[[See Video to Reveal this Text or Code Snippet]]

The Solution Using dplyr

Step-by-Step Explanation

We will utilize the powerful dplyr package, which is part of the tidyverse collection of R packages. Here’s how to achieve your goal with a clear and concise command.

1. Load dplyr

Ensure that you have the dplyr package installed and loaded into your R session. You can install it with:

[[See Video to Reveal this Text or Code Snippet]]

Then, load the package:

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2. Mutate the Data Frame

To replace the numeric columns with their mean, you can use the mutate function combined with across(). Here’s the code that does exactly that:

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Breakdown of the Code:

mutate(): This function is used to modify existing columns or add new columns.

across(): This function is used within mutate() to apply operations to several columns at once.

where(is.numeric): This selects all columns that are numeric.

& !c(y2): This excludes the column y2 from the selection.

mean: This computes the mean of the selected columns.

Result

After running the above statement, your data frame df will look like this:

[[See Video to Reveal this Text or Code Snippet]]

Conclusion

Using dplyr, replacing specific numeric columns with their mean is a straightforward task that can significantly enhance the readability and usability of your data for further analysis. This method preserves non-numeric columns, ensures that the order of your data remains intact, and provides a clean output. Give this a try next time you're handling data in R, and streamline your data manipulation process with ease.