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#' @title Bind rows of multiple data frames with zero fill
#'
#' @description A version of bind_rows out of dplyr that
#' fills non-common columns with zeroes instead of NA.
#' Gives an error if any of the input data contains NA already.
#'
#' @param ... Data frames to combine, passed into bind_rows (see dplyr documentation)
#'
#' @template start-example
#' @examples
#' library(tibble)
#'
#' dose_info_A <- tibble(
#' group_id = "hist_A",
#' drug_A = 1
#' )
#'
#' dose_info_B <- tibble(
#' group_id = "hist_B",
#' drug_B = 100 * (1:2)
#' )
#'
#' bind_rows_0(dose_info_A, dose_info_B)
#'
#' @template stop-example
#' @export
bind_rows_0 <- function(...) {
dot.args <- list(...)
full_args <- try(lapply(dot.args, na.fail))
if (inherits(full_args, "try-error")) {
stop("One or more data frame(s) passed into bind_rows_0 contain NA.")
full_args <- dot.args
}
temp <- do.call("bind_rows", full_args)
temp[is.na(temp)] <- 0
temp
}
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