![]() If the list is long, you may be able to use a shortcut to specify the list of variables. In any FREQ procedure, you can specify many variables in a TABLES statement. The table contains only the number and percentage of each sex. Review the output to convince yourself that indeed the cumulative frequencies and cumulative percentages are not printed in the table. Right-click the link to save the data set to a convenient location on your computer.įrequency Count of SEX: No Cumulative Stats The FREQ Procedure sex ![]() ![]() Throughout this lesson, we'll use the ICDB background data set to illustrate the FREQ procedure. In either case, you can specify as many options as you would like. Table options must be specified after a forward slash (/) in the TABLES statement. Procedure options, such as the typical "DATA=" option, must follow the PROC FREQ statement. If you don't include a TABLES statement, then SAS creates a one-way frequency table for every variable in your input data set.Īs you can see, there are two types of options, namely procedure options and table options. The TABLES statement tells SAS the specific frequency table(s) that you want to create. The FREQ procedure takes the following generic form: PROC FREQ options That's why we'll skip the default version and will jump right to the more practical version in which you restrict the number of tables SAS creates by using a TABLES statement. ![]() That means then if you rely on the default version of the FREQ procedure, it is possible to create lots and lots and lots of output. And, if a variable is numeric, the FREQ procedure doesn't care if it is a discrete numeric variable with just a few possible outcomes (number of siblings, say) or a continuous numeric variable with an infinite number of possible outcomes (weight, say). the FREQ procedure doesn't care whether the variable is a character variable or a numeric variable. That every there is italicized with good reason. By default, the FREQ procedure creates a one-way table that contains the frequency, percent, cumulative frequency, and cumulative percent of every value of every variable in the input data set. ![]()
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