Скачать или смотреть How to Fix the arrange() failed at implicit mutate() Error When Sorting Data in R

Learn how to resolve the `arrange() failed at implicit mutate()` error in R when trying to sort data by purpose in descending order. Get clear, step-by-step guidance to streamline your data processing.
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This video is based on the question https://stackoverflow.com/q/63850250/ asked by the user 'courty340' ( https://stackoverflow.com/u/13799997/ ) and on the answer https://stackoverflow.com/a/63850272/ provided by the user 'akrun' ( https://stackoverflow.com/u/3732271/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

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Understanding and Resolving the arrange() Error in R

When working with data in R, you may encounter a frustrating error that can stall your progress and leave you scratching your head. One such error is the following:

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

This error can be especially common when attempting to sort your data after performing group operations. In this post, we will break down the steps needed to identify and fix this issue, allowing you to smoothly sort your data as intended.

The Problem: Sorting Data by Purpose

You may have found yourself in a situation where you ran the following code to sort a dataset by its "purpose":

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

However, instead of getting a sorted output, you encountered the error. After analyzing the code, the likely culprit is related to how the count function generates its results and the naming of the resulting columns.

Why Does This Error Occur?

In R, the count() function from the dplyr package summarizes a dataset by counting the occurrences of unique values across a specified column. By default, it names the resultant frequency column n. The key points to understand include:

Implicit Mutate Step: The error occurs during the transformation process where R attempts to create temporary columns for sorting.

Misnamed Column: The confusion arises when trying to arrange by a column name that doesn't exist—specifically count_purpose, which is not the default n.

The Solution: Simplifying the Approach

To fix this issue, you can simplify your data processing steps. Instead of using group_by, tally, and count in sequence, focus solely on the count() function, which efficiently counts and organizes your data.

Revised Code Example

Here’s the appropriate code to achieve your sorting objective without triggering the error:

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

Explanation of the Solution

Load the necessary library: Make sure the dplyr package is loaded into your R environment to access its functions.

Use count(purpose): This step counts the occurrences of each unique "purpose" in the dataset, generating a table with the purpose and its corresponding count in column n.

Sort with arrange(desc(n)): By arranging based on n, you can easily sort the results in descending order (from highest to lowest count).

Conclusion

In summary, the error you encountered when trying to sort your data was caused by a misnamed column and overly complex steps in your code. By simplifying your approach and utilizing the count() function effectively, you can avoid such pitfalls and handle your data smoothly. Always remember to check column names and the functions you are using for clarity and efficiency.

No need to get stuck anymore—follow these steps to continue your data analysis in R with ease!