Summary( freqlist( ~race + sex + arm, data = mockstudy, sparse = TRUE, digits. Mockstudy $weights2 <- c( rep( 1, nrow(mockstudy) - 1), 10000) summary( freqlist( list(weights, weights2) ~ arm + sex + addNA(mdquality.s), data = mockstudy)) Treatment Arm attr(*, 'class')= chr 'freqlist' 'arsenal_table' confirm the coding for the missing data pattern proc freq dataq2mcar. frequency of the combinations of values from both variables. $ mdquality.s: Factor w/ 2 levels '0','1': 1 2 NA 1 2 NA 1 2 NA 1. get the EM estimates proc mi dataq1 nimpute0 em var height weight. PROC FREQ creates descriptive summaries of data sets. PROC FREQ dataicdb.back tables sexrace/outsexfreq noprint RUN.

For n -way tables, PROC FREQ provides stratified analysis by computing statistics across, as well as within, strata. The following FREQ procedure tells SAS to create an output data set which contains.

For two-way tables, PROC FREQ computes tests and measures of association. $ sex : Factor w/ 2 levels 'Male','Female': 1 1 1 2 2 2 1 1 1 2. The FREQ procedure produces one-way to n -way frequency and contingency (crosstabulation) tables. $ Call : language freqlist.table(object = tab.ex) For example - if count of gender greater than 2 then output.

Example1 <- freqlist(tab.ex) str(example1) List of 3 1 I have the following statement Proc Freq data test tables gender run I want this to generate an output based on a condition applied to the gender variable.

Proc freq sas