You’ll usefulness proc univariate to temporarily calculate the ruthless, median, and method of variables in SAS.
This process makes use of refer to modest syntax:
proc univariate information=my_data; run;
Refer to instance presentations the way to usefulness this syntax in follow.
Instance: Calculate Cruel, Median & Form for All Variables
Assume now we have refer to dataset in SAS:
/*develop dataset*/
information my_data;
enter staff $ issues rebounds assists;
datalines;
A 25 10 8
B 18 4 5
C 18 7 10
D 24 12 4
E 27 11 5
F 30 8 7
G 12 8 5
;
run;
/*view dataset*/
proc print information=my_data;
We will usefulness refer to code to calculate the ruthless, median and method for all variables in our dataset:
/*calculate ruthless, median, method for each and every variable in my_data*/
proc univariate information=my_data;
run;
This code produces refer to output:
1. Cruel, Median & Form for Issues Variable
We will see:
- The ruthless issues worth is 22.
- The median issues worth is 24.
- The method issues worth is 18.
2. Cruel, Median & Form for Rebounds Variable
We will see:
- The ruthless rebounds worth is 8.57.
- The median rebounds worth is 8.
- The method rebounds worth is 8.
3. Cruel, Median & Form for Assists Variable
We will see:
- The ruthless assists worth is 6.28.
- The median assists worth is 5.
- The method assists worth is 5.
Should you’d like to just calculate the ruthless, median and method for one explicit variable, you’ll usefulness refer to syntax:
/*calculate ruthless, median, and method just for issues variable*/
proc univariate information=my_data;
var issues;
run;
The ruthless, median and method values will best be calculated for the issues variable.
Observe: You’ll in finding the whole documentation for PROC UNIVARIATE right here.
Supplementary Assets
Refer to tutorials provide an explanation for the way to carry out alternative ordinary duties in SAS:
The way to Calculate Correlation in SAS
The way to Determine Outliers in SAS
The way to Assemble Frequency Tables in SAS
