Search results
The following PROC FREQ statements create an output data set of frequencies and percentages: proc freq; tables A A*B / out=D; run; The output data set D contains frequencies and percentages for the table of A by B, which is the last table request listed in the TABLES statement.
- ODS Table Names
PROC FREQ assigns a name to each table that it creates. You...
- Multiway Tables
CROSSLIST Tables. If you specify the CROSSLIST option, PROC...
- Computational Resources
For each variable in a table request, PROC FREQ stores all...
- OUTPUT Statement
Note that you can use the Output Delivery System (ODS) to...
- ODS Table Names
The PROC FREQ statement invokes the procedure and optionally identifies the input data set. By default, the procedure uses the most recently created SAS data set. Table 3.4 lists the options available in the PROC FREQ statement.
The OUTPUT statement creates a data set that contains statistics (such as the Pearson chi-square and its p -value), and the OUT= option in the TABLES statement creates a data set that contains frequency table counts and percentages. See the section Output Data Sets for more information.
7 lis 2023 · PROC FREQ in SAS used to create freq distribution statistics and analysing categorical data. Chi-square analysis, ODS Graphics, Tables, OUTPUT statements used in proc freq 15+ examples.
26 wrz 2024 · The PROC FREQ statement is the only required statement for the FREQ procedure. If you specify the following statements, PROC FREQ produces a one-way frequency table for each variable in the most recently created data set.
The PROC FREQ procedure is used to summarize categorical variables in SAS. It calculates count/frequency and cumulative frequency of categories of a categorical variable. It can also produce bar charts and tests for association between two categorical variables.
The PROC FREQ statement is the only required statement for the FREQ procedure. If you specify the following statements, PROC FREQ produces a one-way frequency table for each variable in the most recently created data set.
