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abandoned the methods approach for a more simpler conditional parsing as the S3 methods resulted in an error
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2 changed files with 34 additions and 8 deletions
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@ -1,13 +1,13 @@
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# Generated by roxygen2: do not edit by hand
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S3method(cut,hms)
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S3method(regression_table,default)
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S3method(regression_table,list)
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export(argsstring2list)
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export(baseline_table)
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export(custom_theme)
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export(cut_variable_server)
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export(cut_variable_ui)
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export(default_format_arguments)
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export(default_parsing)
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export(factorize)
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export(format_writer)
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export(getfun)
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@ -2,15 +2,9 @@
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% Please edit documentation in R/regression_table.R
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\name{regression_table}
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\alias{regression_table}
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\alias{regression_table.list}
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\alias{regression_table.default}
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\title{Create table of regression model}
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\usage{
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regression_table(x, ...)
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\method{regression_table}{list}(x, ...)
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\method{regression_table}{default}(x, ..., args.list = NULL, fun = "gtsummary::tbl_regression")
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}
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\arguments{
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\item{x}{regression model}
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@ -80,4 +74,36 @@ list(
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purrr::map(regression_table) |>
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tbl_merge()
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}
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regression_table <- function(x, ...) {
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UseMethod("regression_table")
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}
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#' @rdname regression_table
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#' @export
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regression_table.list <- function(x, ...) {
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x |>
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purrr::map(\(.m){
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regression_table(x = .m, ...) |>
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gtsummary::add_n()
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}) |>
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gtsummary::tbl_stack()
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}
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#' @rdname regression_table
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#' @export
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regression_table.default <- function(x, ..., args.list = NULL, fun = "gtsummary::tbl_regression") {
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# Stripping custom class
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class(x) <- class(x)[class(x) != "webresearch_model"]
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if (any(c(length(class(x)) != 1, class(x) != "lm"))) {
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if (!"exponentiate" \%in\% names(args.list)) {
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args.list <- c(args.list, list(exponentiate = TRUE))
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}
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}
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out <- do.call(getfun(fun), c(list(x = x), args.list))
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out |>
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gtsummary::add_glance_source_note() # |>
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# gtsummary::bold_p()
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}
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}
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