The following statements count the number of missing and nonmissing values for every variable: first the character variables and then the numeric ones. Use the _CHAR_ and _NUMERIC_ keywords on the TABLES statement to specify that the FREQ procedure should compute statistics for all character or all numeric variables. Specify the MISSING and MISSPRINT options on the TABLES statement.See the section ODS Table Names for more information. You can use the DATA-option to define the input dataset. The BY statement to specify the variable that defines the groups. To do so, you need to provide 2 statements: The TABLE statement to specify the variable you want to analyse. ODS enables you to convert any of the output from PROC FREQ into a SAS data set. You can use the PROC FREQ procedure in SAS to calculate the cumulative percentage per group. If you don't include a TABLES statement, then SAS creates a one-way frequency table for every variable in your input data set. options RUN The TABLES statement tells SAS the specific frequency table (s) that you want to create. Optionally, you can add a TABLES statement and a variable name to create a frequency table of a specific variable. PROC FREQ uses the Output Delivery System (ODS), a SAS subsystem that provides capabilities for displaying and controlling the output from SAS procedures. The FREQ procedure takes the following generic form: PROC FREQ options tables. For a simple frequency table, you only need to specify the input dataset with the DATA-option. PROC FREQ groups a variable's values according to the formatted values. In short, you use the PROC FREQ procedure to create a frequency table in SAS. Specify a format for the variables so that the missing values all have one value and the nonmissing values have another value.To get the FREQ procedure to count missing values, use three tricks: The FREQ procedure is a SAS workhorse that I use almost every day. The MEANS procedure computes statistics for numeric variables, but other SAS procedures enable you to count the number of missing values for character and numeric variables. For the MEANS procedure, "relevant" means "numeric." In many SAS procedures, including PROC MEANS, you can omit the VAR statement in order to operate on all relevant variables. The most basic usage of Proc Freq is to determine the frequency (number of occurrences) for all values found within each variable of your dataset.
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