dat1 <- data.frame(a = 1:20, b = letters[1:20], c = rep(1:4, 5))
car_folds <- vfold_cv(mtcars)
new_rng_snapshots <- utils::compareVersion("3.6.0", as.character(getRversion())) > 0
expect_s3_class_rset <- function(x) {
expect_s3_class(x, "rset")
}
expect_s3_class_bare_tibble <- function(x) {
expect_s3_class(x, c("tbl_df", "tbl", "data.frame"), exact = TRUE)
}
get_stats <- function(split, ...) {
dat <- analysis(split)
x <- dat[[1]]
tibble(
term = "mean",
estimate = mean(x, na.rm = TRUE),
std.error = sqrt(var(x, na.rm = TRUE) / sum(!is.na(x)))
)
}
check_ind <- function(x, tdat) {
in_dat <- subset(tdat, Data == "Analysis")
in_check <- all(sort(in_dat$Row) == x$in_ind)
out_dat <- subset(tdat, Data == "Analysis")
out_check <- all(sort(out_dat$Row) == x$out_ind)
in_check & out_check
}
get_id_left_out <- function(x) {
unique(as.character(assessment(x)$tension))
}
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