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R package to create "Table 1", description of baseline characteristics with or without propensity score weighting

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Аs mentioned in this old issue: https://github.com/kaz-yos/tableone/issues/76#issue-752134268 it would be very useful to be able to add some censoring cut-off at which point only < N or ** or similar...

Hi Kaz, Giving `contDigits = 0` to the `print.TableOne` function to render a continuous variable as an integer appears to error out. ``` > print(tableOne,contDigits = 1) Stratified by trt...

Message from the CRAN maintainer: NEWS for R-devel has • Calling && or || with either argument of length greater than one now gives a warning (which it is intended...

bug

A good variable label and row name should imply the "=TRUE" or "=FALSE". The `varLabels` option is extremely useful but not if the "=TRUE" remains. Ideal behavior would be allow...

I made table 1 and got the right totals and proportions initially. But on a second run the totals changed. It appears it is eliminating the missing values. My data...

In detail: - Change a period to a comma (it was an incomplete sentence) - Change a period to a question mark - "you need to recoded it something" →...

This line induces behavior in `labelled` that's not present in v1.0.0: https://github.com/kaz-yos/tableone/blob/b02ef39d9ae895103447baaa25b8536d2574984c/tests/testthat/test-CreateTableOne.R#L284 The issue didn't cause an error in the current CRAN version of `labelled`, 2.9.0. I didn't check when...

Many tests in test-modules-print.R rely on an implicit assumption of R >= 4.0.0. For example: https://github.com/kaz-yos/tableone/blob/b02ef39d9ae895103447baaa25b8536d2574984c/tests/testthat/test-modules-print.R#L447-L450 Uses the default value of `stringsAsFactors` whereas the source code: https://github.com/kaz-yos/tableone/blob/c3cf03ce642c40df775d03ca4dc9ed0217d6b69a/R/modules-print.R#L257-L261 Explicitly sets the...

Hello, I am looking to do multiple testing adjustment for my continuous data. I read in Tom Pollards Python tabelone that the Bonferroni correction is automatically applied to the data...

Hi Kazuki, I too came across issue #83. As noted by, @docvock, the source of the problem is that survey updated the default output of the svyquantile function. Here's further...