Hmisc
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Harrell Miscellaneous
As discussed by email, I'm preparing a PR to add a `latex.formula()` S3 method. Because formulae contain many other classes, it will also include `.name`, `.call`, `.(`, `.character`, `.numeric`, and...
Hello, When calling _mdb.get_ and passing the _datetimevars_ argument, we get the following error: `Error in csv.get(f, datetimevars = datetime, lowernames = lowernames, : formal argument “datetimevars” matched by multiple...
Behavior of rcorr.cens can be surprising (predictor variable corresponds to survival, not rel. risk)
While computing time-to-event C indexes, I stumbled upon a surprising behavior of rcorr.cens: a pair i,j is concordant with event time pair T_i < T_j if x[i] < x[j]. This...
There's one more `globalVariables()` that needs `utils::globalVariables()`; https://github.com/harrelfe/Hmisc/blob/44f15e5587d0d88acbfd8969ab3e47706e1e24be/R/na.delete.s#L80 Compare with: https://github.com/harrelfe/Hmisc/blob/b8b24ea72a3ff398bb657654043d1945308bc746/R/ggfreqScatter.r#L114 PS. I discovered this when doing R CMD check on an in-house package; ```r * checking R code for...
Dear Frank, _first of all:_ thanks for providing your package to the community! `Hmisc` has spared me a lot of time transferring numbers out of `R` output into LateX tables....
The `print.summary.formula.response` returns `invisible()`, i.e., nothing. This is not really fortunate, as this way, it can not be used to further process the table (for instance, to write it to...
When calling `latex()` on a summary table that used `stratify()`, the caption includes a message about the stratification and this message gets appended to any caption that is manually specified...
Hi Professor Harrel I bet there is an option to skip imputing certain entries (using them as donners only). If so, please advise how does it work. Will it be...
Hi Professor Harrel I set the seed (with set.seed()) before I run aregImpute(). I could not get the same result. I do not believe that the problem comes from fit.mult.impute()....
Hello, After using `base::droplevels` on a labelled data frame, the labels associated with factor class variables seem to get dropped. Is there a workaround for this? Thanks