Nothing
# Uncomment next line to skip tests in non-interactive session
skip_if_not_installed("glmnet")
skip_if_not_installed("gbm")
skip_if_not_installed("splines")
skip_if_not_installed("visreg")
library(splines)
library(visreg)
data("simdat")
data("brcancer")
mod_glm <- casebase::fitSmoothHazard(status ~ trt + ns(log(eventtime), df = 3) +
trt:ns(log(eventtime), df = 1),
time = "eventtime",
data = simdat[sample(nrow(simdat),
size = 200), ],
ratio = 1,
family = "glm")
mod_brcancer <- fitSmoothHazard(cens ~ ns(time, df = 3) * tgrade,
data = brcancer,
time = "time")
test_that("no error in plot method for singleEventCB objects - hazard function", {
outglm <- try(plot(mod_glm,
hazard.params = list(xvar = "eventtime",
by = "trt",
alpha = 0.05,
ylab = "Hazard")),
silent = TRUE)
expect_false(inherits(outglm, "try-error"))
})
test_that("no error in plot method for singleEventCB objects - hazard ratio with and without confidence interval", {
newtime <- quantile(mod_glm[["originalData"]][[mod_glm[["timeVar"]]]],
probs = seq(0.01, 0.99, 0.01))
# reference category
newdata <- data.frame(trt = 0, eventtime = newtime)
# check for correctly specified var and exposed args
expect_error(plot(mod_glm,
type = "hr",
newdata = newdata,
increment = 1,
xvar = "eventtime",
ci = TRUE,
rug = TRUE))
# var not found in newdata
expect_error(plot(mod_glm,
type = "hr",
newdata = newdata,
var = "treatment",
increment = 1,
xvar = "eventtime",
ci = TRUE,
rug = TRUE))
# exposed takes priority
expect_warning(plot(mod_glm,
type = "hr",
newdata = newdata,
exposed = function(data) transform(data,
trt = 1),
var = "treatment",
increment = 1,
xvar = "eventtime",
ci = TRUE,
rug = TRUE))
# exposed isnt a function and var not found in newdata
expect_error(plot(mod_glm,
type = "hr",
newdata = newdata,
exposed = transform(newdata, trt = 1),
var = "treatment",
increment = 1,
xvar = "eventtime",
ci = TRUE,
rug = TRUE))
# exposed isnt a function. use var in newdata
expect_warning(plot(mod_glm,
type = "hr",
newdata = newdata,
exposed = transform(newdata, trt = 1),
var = "trt",
increment = 1,
xvar = "eventtime",
ci = TRUE,
rug = TRUE))
# check that supplying only one row to newdata works
# and that the dataset is returned invisibly
expect_invisible(plot(mod_brcancer,
type = "hr",
newdata = brcancer[1, ],
var = "tgrade",
increment = 1,
xvar = "time",
ci = TRUE,
rug = TRUE))
# check that supplying only one row to newdata works
# and that the dataset is returned invisibly
expect_invisible(plot(mod_brcancer,
type = "hr",
newdata = brcancer[1, ],
var = "tgrade",
increment = 1,
xvar = "time",
ci = FALSE,
rug = TRUE, cex = 5))
# check that supplying only one row to newdata works
# and that the dataset is returned invisibly
# when CI=F and other plot params are passed to ...
expect_invisible(plot(mod_brcancer,
type = "hr",
newdata = brcancer[1, ],
var = "tgrade",
increment = 1,
xvar = "time",
ci = FALSE,
rug = TRUE, cex = 5, pch = 22)
)
outglm_hr <- try(plot(mod_glm,
type = "hr",
newdata = newdata,
var = "trt",
increment = 1,
xvar = "eventtime",
ci = TRUE,
rug = TRUE),
silent = TRUE)
outglm_hr_noci <- try(plot(mod_glm,
type = "hr",
newdata = newdata,
var = "trt",
increment = 1,
xvar = "eventtime",
ci = FALSE,
rug = TRUE),
silent = TRUE)
# using the exposed argument instead
outglm_hr_exposed <- try(plot(mod_glm,
type = "hr",
newdata = newdata,
exposed = function(data) transform(data,
trt = 1),
xvar = "eventtime",
ci = TRUE,
rug = TRUE),
silent = TRUE)
expect_false(inherits(outglm_hr, "try-error"))
expect_false(inherits(outglm_hr_noci, "try-error"))
expect_false(inherits(outglm_hr_exposed, "try-error"))
})
library(data.table)
mod_brcancer2 <- fitSmoothHazard(cens ~ ns(time, df = 3) * tgrade,
data = as.data.table(brcancer),
time = "time")
test_that("make sure the data is returned by plot.singleEventCB", {
plot1 <- plot(mod_brcancer,
type = "hr",
newdata = brcancer[1, ],
var = "tgrade",
increment = 1,
xvar = "time",
ci = TRUE,
rug = TRUE)
plot2 <- plot(mod_brcancer2,
type = "hr",
newdata = as.data.table(brcancer[1, ]),
var = "tgrade",
increment = 1,
xvar = "time",
ci = TRUE,
rug = TRUE)
expect_true(inherits(plot1, "data.frame"))
expect_true(inherits(plot2, "data.frame"))
})
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