#' Calculate x-months survival and show results in a table
#'
#' This function calculates x-months survival grouped by an optional stratification factor and displays the results in a Table.
#' @param data data.frame or data.table containing survival data.
#' @param time The time interval from start of observation until date of event (e.g. disease progression or death)
#' or censoring.
#' @param status Variable specifying if event occured or data has been censored. Default behaviour inherited from the \code{surv_fit} function in the \code{survival} package, with 0
#' indicating censored data and 1 indicating event.
#' @param var Variable tested for Influence on outcome.
#' @param times Time in months for which survival should be calculated.
#' @export
surv_time_table <- function(data, time, status, times, var){
ls_total <- lapply(times, function(x){
tmp <- mapply(survival_time, time = time, status = status,
MoreArgs = list(times = x, data = data))
as.data.frame(t(dplyr::bind_rows(tmp)))
})
res_total <- do.call(rbind, ls_total)
ls_var <- lapply(times, function(x){
tmp <- mapply(survival_time, time = time, status = status,
MoreArgs = list(var = var, times = x, data = data))
as.data.frame(t(dplyr::bind_rows(tmp)))
})
res_var <- do.call(rbind, ls_var)
colnames(res_var) <- levels(data[[var]])
res_var$Total <- res_total$V1
htmlTable::htmlTable(res_var)
}
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.