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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.
- ODS Table Names
PROC FREQ assigns a name to each table that it creates. You...
- Exact
PROC FREQ computes only exact tests or confidence limits for...
- Output Data Sets
proc freq; tables A A*B / out=D; run; The output data set D...
- LIST
If you omit the TABLES statement, PROC FREQ generates...
- ODS Table Names
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.
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.
7 lis 2023 · PROC FREQ is an essential and most used procedure in SAS primarily for counting, displaying and analysing categorical type data. The PROC FREQ statement invokes the FREQ procedure in SAS. The FREQ procedure produces one-way to N-way frequency and cross-tabulation tables.
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. proc freq; run; Table 3 summarizes the basic functions of the procedure statements. The following sections provide detailed ...
The FREQ procedure produces one-way to n-way frequency and contingency (crosstabulation) tables. For two-way tables, PROC FREQ computes tests and measures of association.
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.
