How can the SAS Proc Univariate procedure be used to analyze data by group? 2

How can the SAS Proc Univariate procedure be used to analyze data by group?

The SAS Proc Univariate procedure is a statistical tool that allows for the analysis of data by group. This procedure allows for the comparison of multiple groups within a dataset, making it a valuable tool for understanding the differences and similarities between various subsets of data. By specifying a group variable, the procedure can provide descriptive statistics, histograms, and other graphical representations for each group, allowing for a comprehensive and efficient analysis. This procedure is particularly useful for identifying patterns and trends within data, as well as for detecting any potential outliers or anomalies within a particular group. Overall, the SAS Proc Univariate procedure is an essential tool for any researcher or analyst looking to gain insights into their data through group analysis.

SAS: Use Proc Univariate by Group


You can use proc univariate in SAS with the by statement to calculate descriptive statistics for each numeric variable in a dataset, grouped by a particular variable.

This procedure uses the following basic syntax:

proc univariatedata=my_data normal;
    by group_variable;
run;

The following example shows how to use this procedure in practice.

Example: Proc Univariate by Group in SAS

Suppose we have the following dataset in SAS that contains information about various basketball players:

/*create dataset*/
data my_data;
    input team $ points rebounds;
    datalines;
A 12 8
A 12 8
A 12 8
A 23 9
A 20 12
A 14 7
A 14 7
B 20 2
B 20 5
B 29 4
B 14 7
B 20 2
B 20 2
B 20 5
;
run;

/*view dataset*/
proc printdata=my_data;

We can use proc univariate with the by statement to calculate descriptive statistics for the points and rebounds variables, grouped by the team variable:

proc univariatedata=my_data;
    by team;
run;

This procedure will produce the following results:

  • Descriptive statistics for points for team A
  • Descriptive statistics for rebounds for team B
  • Descriptive statistics for points for team A
  • Descriptive statistics for rebounds for team B

Here is what the descriptive statistics looks like for the points variable for team A:

If you only want to calculate descriptive statistics for one specific variable grouped by another variable, then you can use the var statement.

For example, you can use the following syntax to calculate descriptive statistics only for the points variable, grouped by the team variable:

proc univariatedata=my_data;
    var points;
    by team;
run;

Feel free to specify as many variables as you’d like in both the var and by statements to calculate descriptive statistics for whichever variables you’d like.

The following tutorials explain how to perform other common tasks in SAS:

Cite this article

stats writer (2024). How can the SAS Proc Univariate procedure be used to analyze data by group?. PSYCHOLOGICAL SCALES. Retrieved from https://scales.arabpsychology.com/stats/how-can-the-sas-proc-univariate-procedure-be-used-to-analyze-data-by-group/

stats writer. "How can the SAS Proc Univariate procedure be used to analyze data by group?." PSYCHOLOGICAL SCALES, 26 Jun. 2024, https://scales.arabpsychology.com/stats/how-can-the-sas-proc-univariate-procedure-be-used-to-analyze-data-by-group/.

stats writer. "How can the SAS Proc Univariate procedure be used to analyze data by group?." PSYCHOLOGICAL SCALES, 2024. https://scales.arabpsychology.com/stats/how-can-the-sas-proc-univariate-procedure-be-used-to-analyze-data-by-group/.

stats writer (2024) 'How can the SAS Proc Univariate procedure be used to analyze data by group?', PSYCHOLOGICAL SCALES. Available at: https://scales.arabpsychology.com/stats/how-can-the-sas-proc-univariate-procedure-be-used-to-analyze-data-by-group/.

[1] stats writer, "How can the SAS Proc Univariate procedure be used to analyze data by group?," PSYCHOLOGICAL SCALES, vol. X, no. Y, ص Z-Z, June, 2024.

stats writer. How can the SAS Proc Univariate procedure be used to analyze data by group?. PSYCHOLOGICAL SCALES. 2024;vol(issue):pages.

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