Nothing
context("Bootstrapping")
library(finalfit)
test_that("ff_newdata gives dataframe", {
expect_is(ff_newdata(colon_s, explanatory = c("age.factor", "extent.factor"), newdata = list(
c("<40 years", "Submucosa"),
c("<40 years", "Submucosa"))) -> newdata,
"data.frame")
})
test_that("ff_newdata gives dataframe", {
expect_is(ff_newdata(colon_s, explanatory = c("nodes", "extent.factor", "perfor.factor"), rowwise = FALSE,
newdata = list(
rep(seq(0, 30), 4),
c(rep("Muscle", 62), rep("Adjacent structures", 62)),
c(rep("No", 31), rep("Yes", 31), rep("No", 31), rep("Yes", 31))
)) -> newdata,
"data.frame")
})
test_that("ff_newdata gives dataframe", {
expect_is(colon_s %>%
glmmulti("mort_5yr", c("age.factor", "extent.factor")) %>%
boot_predict(newdata = ff_newdata(colon_s, explanatory = c("age.factor", "extent.factor"),
newdata = list(
c("<40 years", "Submucosa"),
c("<40 years", "Submucosa"))),
estimate_name = "Predicted probability of death",
compare_name = "Absolute risk difference", R=40, digits = c(2,3)),
"data.frame")
})
test_that("ff_newdata gives dataframe", {
expect_is(colon_s %>%
glmmulti("mort_5yr", c("age.factor", "extent.factor")) %>%
boot_predict(newdata = ff_newdata(colon_s, explanatory = c("age.factor", "extent.factor"),
newdata = list(
c("<40 years", "Submucosa"),
c("<40 years", "Submucosa"))),
condense = FALSE,
comparison = "ratio", R=40, digits = c(2,3)),
"data.frame")
})
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