Nothing
source("helpers.R")
# recall captures calls to avoid evaluating twice
modd <- lm(mpg ~ hp + factor(gear), data = mtcars)
cmp1 <- comparisons(modd)
cmp1 <- tidy(cmp1)
cmp2 <- tidy(comparisons(modd))[, seq_along(cmp1)]
cmp3 <- comparisons(modd) |> tidy()
for (col in c("estimate", "std.error", "p.value", "conf.high")) {
expect_equivalent(cmp1[[col]], cmp2[[col]])
expect_equivalent(cmp1[[col]], cmp3[[col]])
}
suppressWarnings(rm("modd", .GlobalEnv))
suppressWarnings(rm("modd"))
# #### Are caught calls roughly twice as fast?
# long_avg <- function() {
# cmp1 <- comparisons(mod)
# tidy(cmp1)
# }
# long_sum <- function() {
# cmp1 <- comparisons(mod)
# summary(cmp1)
# }
# long_tid <- function() {
# cmp1 <- comparisons(mod)
# tidy(cmp1)
# }
# bench::mark(
# long_avg(),
# tidy(comparisons(mod)),
# comparisons(mod) |> tidy(),
# long_tid(),
# tidy(comparisons(mod)),
# comparisons(mod) |> tidy(),
# long_sum(),
# comparisons(mod) |> tidy() |> summary(), # I expected this to be faster but not the case
# summary(comparisons(mod)),
# comparisons(mod) |> summary(),
# check = FALSE,
# iterations = 25
# )
rm(list = ls())
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