Nothing
#' @importFrom rlang .data
lyl_diff_lyl <- function(lyl_population1, lyl_population0, decimals, weights = NA, age_specific, age_begin, age_end, parameters) {
reference <- lyl_population0[["LYL"]]
colnames(reference)[colnames(reference) != "age"] <- paste0(colnames(reference)[colnames(reference) != "age"], "_ref")
LYL_combined <- dplyr::full_join(lyl_population1[["LYL"]], reference, by = "age")
for (colu in colnames(lyl_population1[["LYL"]])[colnames(lyl_population1[["LYL"]]) != "age"]) {
LYL_combined[, colu] <- LYL_combined[, colu] - LYL_combined[, paste0(colu, "_ref")]
LYL_combined <- LYL_combined[, colnames(LYL_combined)[colnames(LYL_combined)!=paste0(colu, "_ref")]]
}
output <- list(
LYL = LYL_combined,
tau = lyl_population1[["tau"]],
age_specific = age_specific,
age_begin = age_begin,
age_end = age_end,
death_labels = lyl_population1[["death_labels"]],
competing_risks = lyl_population1[["competing_risks"]]
)
cat(paste0("Differences in estimates comparing '", as.character(parameters$lyl_population1),
"' with '", as.character(parameters$lyl_population0), "'.\n"))
if (methods::is(lyl_population1, "lyl")) {
#if (class(lyl_population1) == "lyl") {
class(output) <- "lyl"
return(summary(output, decimals = decimals, difference = TRUE))
}
if (methods::is(lyl_population1, "lyl_range")) {
#if (class(lyl_population1) == "lyl_range") {
class(output) <- "lyl_range"
return(summary(output, decimals = decimals, weights = weights, difference = TRUE))
}
}
#' @importFrom rlang .data
lyl_diff_lyl_ci <- function(lyl_population1, lyl_population0, decimals, level,
weights = NA, type, age_specific, age_begin, age_end, niter, parameters) {
reference <- lyl_population0[["LYL"]]
colnames(reference)[colnames(reference) != "age"] <- paste0(colnames(reference)[colnames(reference) != "age"], "_ref")
LYL_combined <- dplyr::full_join(lyl_population1[["LYL"]], reference, by = "age")
reference_ci <- lyl_population0[["LYL_ci"]]
colnames(reference_ci)[!(colnames(reference_ci) %in% c("age", "iteration"))] <-
paste0(colnames(reference_ci)[!(colnames(reference_ci) %in% c("age", "iteration"))], "_ref")
LYL_combined_ci <- dplyr::full_join(lyl_population1[["LYL_ci"]], reference_ci, by = c("age", "iteration"))
for (colu in colnames(lyl_population1[["LYL"]])[colnames(lyl_population1[["LYL"]]) != "age"]) {
LYL_combined[, colu] <- LYL_combined[, colu] - LYL_combined[, paste0(colu, "_ref")]
LYL_combined <- LYL_combined[, colnames(LYL_combined)[colnames(LYL_combined)!=paste0(colu, "_ref")]]
LYL_combined_ci[, colu] <- LYL_combined_ci[, colu] - LYL_combined_ci[, paste0(colu, "_ref")]
LYL_combined_ci <- LYL_combined_ci[, colnames(LYL_combined_ci)[colnames(LYL_combined_ci)!=paste0(colu, "_ref")]]
}
cat(paste0("Differences in estimates comparing '", as.character(parameters$lyl_population1),
"' with '", as.character(parameters$lyl_population0), "'.\n"))
if (type == "age_specific") {
output <- list(
LYL = LYL_combined,
LYL_ci = LYL_combined_ci,
tau = lyl_population1[["tau"]],
age_specific = age_specific,
death_labels = lyl_population1[["death_labels"]],
competing_risks = lyl_population1[["competing_risks"]],
type = "age_specific",
niter = niter
)
} else {
output <- list(
LYL = LYL_combined,
LYL_ci = LYL_combined_ci,
tau = lyl_population1[["tau"]],
age_begin = age_begin,
age_end = age_end,
death_labels = lyl_population1[["death_labels"]],
competing_risks = lyl_population1[["competing_risks"]],
type = "age_range",
niter = niter
)
}
class(output) <- "lyl_ci"
return(summary(output, decimals = decimals, level = level, weights = weights, difference = TRUE))
}
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.