Скачать или смотреть How to Customize PROC MEANS Output in SAS for Specific Statistics

Learn how to get specified values like N, MIN, MEDIAN, MAX, and STD in a single variable using SAS Proc Means output.
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Getting Specified Values from PROC MEANS Output in SAS

When working with SAS for data analysis, PROC MEANS is a powerful tool to summarize your datasets by computing descriptive statistics like counts, means, and standard deviations. However, a common problem arises when users wish to extract and format specific statistics in a desirable way. If you're finding yourself in a similar bind, you're not alone. Many SAS users wonder: Is it possible to get specified values in the stat variable of PROC MEANS output?

The Challenge

You might want to generate a summary dataset that includes specific statistics such as:

Count (N)

Minimum (MIN)

Median (MEDIAN)

Maximum (MAX)

Standard Deviation (STD)

The need often arises where you prefer these statistics to be neatly organized in a single variable seen in the stat column. When using the standard PROC MEANS, you could end up with default statistics that aren't tailored to your needs.

Attempting the Default Approach

Here’s a sample code snippet that can sound familiar:

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This code might not yield the desired flexibility regarding the summary statistics you want.

The Solution

The straightforward answer is: No,PROC MEANS on its own will not generate the output in the desired format. But don’t worry, you can achieve what you’re looking for by generating the data in a "wide" format first before transposing it to a "tall" format. This involves several steps but is quite manageable.

Step-by-Step Implementation

Generate Summary Statistics in Wide Format
Instead of directly modifying PROC MEANS, use PROC SUMMARY to create a comprehensive summary of your statistics.

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Transpose the Data to Tall Format
The next step is to transpose this wide format, converting variables into observations.

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Create a New Variable for Statistics
Here, you will define the stat variable that will hold the names of the statistics.

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Final Transposition to Desired Output
Finally, transpose the tall data to achieve the expected format with each statistic in its respective column.

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Example of the Output

By following the steps outlined, the results will look something like this:

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Conclusion

While it may initially seem impossible to customize the output of PROC MEANS directly, utilizing PROC SUMMARY followed by transposition allows SAS users to extract desired statistics conveniently. By transforming your data appropriately, you can achieve a well-defined summary that highlights critical statistics in a format that suits your analysis needs.

Whether you are working on a research project, preparing a report, or simply analyzing data, mastering these techniques will undeniably enhance your SAS skills. Happy coding!