#' Create a table of effect measures with their CI
#'
#' Create a table of effect measures with their CI.
#'
#' The table will have 3 columns. The measure name, the estimates and the
#' confidence interval.
#'
#' @param df Dataframe of results.
#' @param rowgroup Name of column with row group names.
#' @param rowname Name of column with row names.
#' @param digits Integer, number of digits to the right of the decimal.
#' @param title The title of the table.
#' @param subtitle Subtitle of the table.
#'
#' @importFrom dplyr select rename mutate mutate_if mutate_at
#' @importFrom tidyr unite
#' @importFrom gt cols_label tab_footnote tab_options
#' @importFrom rlang .data
#'
#' @return A \code{gt_tbl} object
#' @export
gt_measures_rowgrp <- function(df, rowgroup = "term", rowname = "model",
digits = 3,
title = "Title", subtitle = "Subtitle") {
# confidence interval label used in footnote
ci_label <- sprintf("%.0f%% confidence interval", 100 * (1 - df$.alpha[1]))
df <- df %>%
select(!matches("alpha|method")) %>%
# mutate(across(.cols = where(is.numeric), .fns = round, digits)) %>%
dplyr::mutate_if(.predicate = is.numeric, .funs = round, digits = digits) %>%
unite(col = "CI", ".lower", ".upper", sep = ", ") %>%
mutate(CI = paste0("(", .data$CI, ")"))
gt::gt(df, rowname_col = rowname, groupname_col = rowgroup) %>%
gt_basic(title, subtitle) %>%
cols_label(
.estimate = "Estimate") %>%
tab_footnote(
footnote = ci_label,
locations = cells_column_labels(columns = matches("CI$"))
) %>%
tab_options(
row_group.font.weight = "bold"
)
}
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