Create an object summarizing continous variables optionally stratifying by one or more startifying variables and performing statistical tests. Usually, svyCreateTableOne should be used as the universal frontend for both continuous and categorical data.
svyCreateContTable(vars, strata, data, test = TRUE,
testNormal = svyTestNormal, argsNormal = list(method = "Wald"),
testNonNormal = svyTestNonNormal, argsNonNormal = NULL, smd = TRUE)Variable(s) to be summarized given as a character vector.
Stratifying (grouping) variable name(s) given as a character vector. If omitted, the overall results are returned.
A survey design object in which these variables exist. All variables (both vars and strata) must be in this survey design object. It is created with the svydesign function in the survey package.
If TRUE, as in the default and there are more than two groups, groupwise comparisons are performed. Both tests that assume normality and tests that do not are performed. Either one of the result can be obtained from the print method.
A function used to perform the normal assumption based tests. The default is multiple degrees of freedom test using svyglm and regTermTest. This is equivalent of the svyttest when there are only two groups.
A named list of arguments passed to the function specified in testNormal.
A function used to perform the nonparametric tests. The default is svyranktest.
A named list of arguments passed to the function specified in testNonNormal.
If TRUE, as in the default and there are more than two groups, standardized mean differences for all pairwise comparisons are calculated.
An object of class svyContTable.
svyCreateTableOne, print.svyContTable, summary.svyContTable,
## See the examples for svyCreateTableOne()
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