context("stabpath::get_stability_paths(w/ subsample method) - test of use cases ")
library(leaps)
library(ElemStatLearn)
data(prostate)
model <- regsubsets(x = lpsa ~ (. - train), data = prostate,
nbest = 1, nvmax = 8, really.big = TRUE)
# note: using variable 'max_formula <- lpsa ~ (. - train)' will result in
# check() run error message:
# max_formula is not found when this is run via check()
model$call <- quote(regsubsets(x = lpsa ~ (. - train), data = prostate,
nbest = 1, nvmax = 8, really.big = TRUE))
# 'model$call <- ...' needed, otherwise test cases are not running
# with devtools::test() or covr::package_coverage() => throwing error:
# object 'code' not found
# reason: model$call when refit.regsubsets is run under devtools::test
# does not have the expected structure
test_that("get_stability_paths with prostate data - subsample", {
expect_is(
get_stability_paths(model, data = prostate, reps = 10),
c("stabpath", "matrix"))
expect_named(
get_stability_paths(model, data = prostate, reps = 10)[5, ],
c("lcavol", "lweight", "age", "lbph", "svi", "lcp", "gleason", "pgg45"))
})
set.seed(20141020)
s <- get_stability_paths(model, data = prostate, reps = 10)[5, ]
test_that("get_stability_paths with prostate data - subsample, row values", {
expect_equal(
unname(s),
c(1.0, 0.8, 0.3, 0.7, 0.9, 0.1, 0.0, 0.2))
})
context("stabpath::get_stability_paths (w/ bootstrap method) - test of use cases ")
test_that("get_stability_paths with prostate data - bootstrap", {
expect_is(
get_stability_paths(model, data = prostate, reps = 10, method = "bootstrap"),
c("stabpath", "matrix"))
expect_named(
get_stability_paths(model, data = prostate, reps = 10, method = "bootstrap")[5, ],
c("lcavol", "lweight", "age", "lbph", "svi", "lcp", "gleason", "pgg45"))
})
set.seed(20141020)
b <- get_stability_paths(model, data = prostate, reps = 10, method = "bootstrap")[5, ]
test_that("get_stability_paths with prostate data - bootstrap, row values", {
expect_equal(
unname(b),
c(1.0, 0.7, 0.4, 0.4, 0.9, 0.2, 0.2, 0.2))
})
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