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Posted 01-01-2020 10:49 AM
(739 views)

Hi,

Please, could someone help me with the SAS code to verify the count(frequency) of ca case ca cont pop cont for each unique/distinct id and idchem combination. I have 29 obs, 3 pollutants idchem 990005=cla_exp, 990021 = bio_exp and 210701 = amo_exp. I need to count the number of the lung variables associated with each unique id_idchem combination. For obs 2 (Osaa13-idchem 210701) has 1 lung ca case. Same with obs 4 so I expect SAS to count obs 2 & 4 as frequency of 1 since they have the same id_idchem combination.

Thus, I would like the overall freq of unique id_idchem by lung for 210701 to be 2/8 for ca case (for example).

My SAS output Tables 1 & 2 are attached. The SAS code and log are found below.

1 OPTIONS NONOTES NOSTIMER NOSOURCE NOSYNTAXCHECK;

72

73 data mg1b; set mgp(obs=29);

NOTE: There were 29 observations read from the data set WORK.MGP.

NOTE: The data set WORK.MG1B has 29 observations and 4 variables.

NOTE: DATA statement used (Total process time):

real time 0.01 seconds

cpu time 0.01 seconds

74 proc print data=mg1b;

75 Title " Table 1: Exposure to 3 pollutants";

76

NOTE: There were 29 observations read from the data set WORK.MG1B.

NOTE: PROCEDURE PRINT used (Total process time):

real time 0.27 seconds

cpu time 0.27 seconds

77 proc freq data=mg1b;

78 tables idchem*lung;

79 Title" Table 2: Frequency: id_idchem vs case/control for 3 pollutants "; run;

NOTE: There were 29 observations read from the data set WORK.MG1B.

NOTE: PROCEDURE FREQ used (Total process time):

real time 0.21 seconds

cpu time 0.20 seconds

80

81 OPTIONS NONOTES NOSTIMER NOSOURCE NOSYNTAXCHECK;

93

Thanks very much.

ak.

1 ACCEPTED SOLUTION

Accepted Solutions

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proc sort with NODUPKEY is useful, but depending on the size of the data set, can be expensive. In this case, I'd suggest two proc freqs. The first produces a data set FREQS of frequencies of IDCHEM*LUNG (i.e. one obs for each combination with 2 additional variables COUNT and PERCENT). Then submit the new dataset to a proc freq with the same tables specification. This will yield counts of non-empty combinations:

```
proc freq data =mgp noprint;
tables idchem * lung /out=freqs;
run;
proc freq data=freqs;
tables idchem * lung / norow nocol;
run;
```

The advantage here is that proc freq doesn't need a sorted data set.

--------------------------

The hash OUTPUT method will overwrite a SAS data set, but not append. That can be costly. Consider voting for Add a HASH object method which would append a hash object to an existing SAS data set

Would enabling PROC SORT to simultaneously output multiple datasets be useful? Then vote for

Allow PROC SORT to output multiple datasets

--------------------------

The hash OUTPUT method will overwrite a SAS data set, but not append. That can be costly. Consider voting for Add a HASH object method which would append a hash object to an existing SAS data set

Would enabling PROC SORT to simultaneously output multiple datasets be useful? Then vote for

Allow PROC SORT to output multiple datasets

--------------------------

3 REPLIES 3

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Hi @ak2011

Happy new year!

I suggest that you run a PROC SORT with the NODUPKEY option before running the PROC FREQ:

```
proc sort data = env out = env_distinct nodupkey;
by lung id_idchem;
run;
proc freq data = env_distinct;
table lung * idchem / nocol norow nocol nopercent;
run;
```

Does that give you the expected results?

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proc sort with NODUPKEY is useful, but depending on the size of the data set, can be expensive. In this case, I'd suggest two proc freqs. The first produces a data set FREQS of frequencies of IDCHEM*LUNG (i.e. one obs for each combination with 2 additional variables COUNT and PERCENT). Then submit the new dataset to a proc freq with the same tables specification. This will yield counts of non-empty combinations:

```
proc freq data =mgp noprint;
tables idchem * lung /out=freqs;
run;
proc freq data=freqs;
tables idchem * lung / norow nocol;
run;
```

The advantage here is that proc freq doesn't need a sorted data set.

--------------------------

The hash OUTPUT method will overwrite a SAS data set, but not append. That can be costly. Consider voting for Add a HASH object method which would append a hash object to an existing SAS data set

Would enabling PROC SORT to simultaneously output multiple datasets be useful? Then vote for

Allow PROC SORT to output multiple datasets

--------------------------

The hash OUTPUT method will overwrite a SAS data set, but not append. That can be costly. Consider voting for Add a HASH object method which would append a hash object to an existing SAS data set

Would enabling PROC SORT to simultaneously output multiple datasets be useful? Then vote for

Allow PROC SORT to output multiple datasets

--------------------------

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Thanks very much. It works!

ak.

ak.

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