Nothing
test_that("glmmTMB object", {
testthat::skip_if_not_installed("emmeans")
testthat::skip_if_not_installed("ggplot2")
skip_on_cran()
skip_if_not_installed("glmmTMB")
library("glmmTMB")
set_sum_contrasts()
tmb2 <- glmmTMB(count~spp * mined + (1|site),
ziformula = ~spp * mined,
family=nbinom2, Salamanders)
# tmb <- tmb2
# save(tmb, file = "inst/extdata/tmb_example_fit.rda",
# compress = "xz")
#load(system.file("extdata/", "tmb_example_fit.rda", package = "afex"))
## previous versions checked for equivalence of summary() or coef(), but that
## seems unnecessary and did fail at some point
## (i.e., summary() on old glmmTMB object failed)
# expect_equivalent(coef(tmb), #summary(tmb),
# coef(tmb2), #summary(tmb2),
# tolerance = 0.001)
skip_if_not_installed("cowplot")
skip_if_not_installed("ggplot2")
library("ggplot2")
p1n <- afex_plot(tmb2, "spp")
p2n <- afex_plot(tmb2, "spp", data_geom = geom_violin)
p3n <- afex_plot(tmb2, "spp", id = "site", data = Salamanders)
expect_doppelganger("afex_plot: glmmTMB 1", p1n)
expect_doppelganger("afex_plot: glmmTMB 2", p2n)
expect_doppelganger("afex_plot: glmmTMB 3", p3n)
})
test_that("rstanarm plots", {
testthat::skip_if_not_installed("emmeans")
testthat::skip_if_not_installed("ggplot2")
skip_on_cran()
#skip_on_ci()
skip_if_not_installed("rstanarm")
library("rstanarm") ## requires resetting the ggplot2 theme
skip_if_not_installed("ggplot2")
library("ggplot2")
set_sum_contrasts()
load("afex_plot-rstanarm.rda") ## comparison values
tol <- 0.1
cbpp <- lme4::cbpp
cbpp$prob <- with(cbpp, incidence / size)
suppressWarnings(capture_output({
example_model <- rstanarm::stan_glmer(prob ~ period + (1|herd),
data = cbpp, family = binomial, weight = size,
chains = 2, cores = 1, seed = 12345,
iter = 1000, warmup = 500)
}))
b1d <- afex_plot(example_model, "period", return = "data")
expect_equal(b1d, rstanenv$b1d, tolerance = tol)
## make cbpp long
cbpp_l <- vector("list", nrow(cbpp))
for (i in seq_along(cbpp_l)) {
cbpp_l[[i]] <- data.frame(
herd = cbpp$herd[i],
period = cbpp$period[i],
incidence = rep(0, cbpp$size[i])
)
cbpp_l[[i]]$incidence[seq_len(cbpp$incidence[i])] <- 1
}
cbpp_l <- do.call("rbind", cbpp_l)
cbpp_l$herd <- factor(cbpp_l$herd, levels = levels(cbpp$herd))
cbpp_l$period <- factor(cbpp_l$period, levels = levels(cbpp$period))
suppressWarnings(capture_output({
example_model2 <- rstanarm::stan_glmer(incidence ~ period + (1|herd),
data = cbpp_l, family = binomial,
chains = 2, cores = 1, seed = 12345,
iter = 1000)
}))
b3d <- afex_plot(example_model2, "period", return = "data")
b4d <- afex_plot(example_model2, "period", id = "herd", return = "data")
expect_equal(b3d, rstanenv$b3d, tolerance = tol)
expect_equal(b4d, rstanenv$b4d, tolerance = tol)
skip_if_not_installed("MEMSS")
data("Machines", package = "MEMSS")
suppressWarnings(capture_output({
mm <- rstanarm::stan_lmer(score ~ Machine + (Machine|Worker), data=Machines,
chains = 2, cores = 1, seed = 12345, iter = 1000)
}))
b5d <- afex_plot(mm, "Machine", return = "data")
b6d <- afex_plot(mm, "Machine", id = "Worker", return = "data")
expect_equal(b5d, rstanenv$b5d, tolerance = tol)
expect_equal(b6d, rstanenv$b6d, tolerance = tol)
#### save
# rstanenv <- new.env()
# rstanenv$b1d <- b1d
# rstanenv$b3d <- b3d
# rstanenv$b4d <- b4d
# rstanenv$b5d <- b5d
# rstanenv$b6d <- b6d
# ls(envir = rstanenv)
# save(rstanenv, file = "tests/testthat/afex_plot-rstanarm.rda")
})
test_that("brms plots", {
testthat::skip_if_not_installed("emmeans")
testthat::skip_if_not_installed("ggplot2")
skip_on_cran()
#skip_on_os("windows")
skip_if_not_installed("brms")
library("brms") ## requires resetting the ggplot2 theme
skip_if_not_installed("ggplot2")
skip_if_not_installed("MEMSS")
library("ggplot2")
set_sum_contrasts()
data("Machines", package = "MEMSS")
suppressWarnings(capture_output({
mm2 <- brm(score ~ Machine + (Machine|Worker), data=Machines,
chains = 2, cores = 1, seed = 12345, iter = 1000)
}))
bb1n <- afex_plot(mm2, "Machine", data = Machines, dv = "score",
return = "data")
bb2n <- afex_plot(mm2, "Machine", id = "Worker",
data = Machines, dv = "score", return = "data")
load("afex_plot-brms.rda")
expect_equal(bb1n, brmslist$bb1n, tolerance = 5)
expect_equal(bb2n, brmslist$bb2n, tolerance = 5)
# brmslist <- list(
# bb1n = bb1n,
# bb2n = bb2n
# )
# save(brmslist, file = "tests/testthat/afex_plot-brms.rda")
expect_error(afex_plot(mm2, "Machine", data = Machines),
"Could not detect dv column")
})
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