A category-theoretic approach to the semantics of by Frank Joseph Oles

By Frank Joseph Oles

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In the resulting data set, you need to keep the ID, HEARING, HEARING_INFO, INCOME, and M_INCOME variables. Once this data set is created, use PROC FREQ to create a two-way contingency table for the variables HEARING and HEARING_INFO to confirm that HEARING_INFO was created correctly. Explore the NOPERCENT, NOCOL, and NOROW options for this procedure. 2. 5. There are other statements in this procedure that were not presented in this section. For example, you can use the OUTPUT statement to output the calculated statistics to a SAS data set.

2. Create another variable, HEARING_INFO, which is based on the variable HEARING. If the HEARING variable contains missing values, HEARING_INFO will be assigned with value 1; otherwise, HEARING_INFO will be assigned with value 0. 3. Label the variable M_INCOME with “monthly income”. 4. Format the M_INCOME variable with the FRACT9. format. Note: You might need to check the SAS documentation for this format. If you have difficulty finding this document, you can search “Fractw. Format SAS” using your preferred online search engine.

Variable-n>; Notice that there will be no equal sign after the KEEP keyword in the KEEP statement. 12 creates the same data set by using the KEEP statement instead of the KEEP= data set option. 2 Selecting Variables with the DROP= Data Set Option or DROP Statement You can also use the DROP= data set option or DROP statement to select variables that you want to remove when creating a data set. 13 selects the same variables (ID, SMOKE, and AGE) from the HEARING data set by using the DROP= option.

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