Nothing
suppressMessages(require(broom))
test_that("example", {
skip_if_not_installed("Hmisc")
reg <- lm(
Sepal.Length ~ Sepal.Width + Petal.Length + Petal.Width,
data = iris
)
ggally_expect_doppelganger("lm", ggcoef(reg))
data(tips)
ggally_expect_doppelganger(
"tips",
ggtable(tips, "smoker", c("day", "time", "sex"))
)
# displaying row proportions
ggally_expect_doppelganger(
"tips-cells",
ggtable(tips, "smoker", c("day", "time", "sex"), cells = "row.prop")
)
# filling cells with residuals
ggally_expect_doppelganger(
"tips-fill-std_resid",
ggtable(
tips,
"smoker",
c("day", "time", "sex"),
fill = "std.resid",
legend = 1
)
)
ggally_expect_doppelganger(
"tips-fill-resid",
ggtable(tips, "smoker", c("day", "time", "sex"), fill = "resid", legend = 1)
)
# if continuous variables are provided, just displaying some summary statistics
ggally_expect_doppelganger(
"tips-continuous",
ggtable(tips, c("smoker", "total_bill"), c("day", "time", "sex", "tip"))
)
# specifying weights
d <- as.data.frame(Titanic)
ggally_expect_doppelganger(
"titanic-weight-freq",
ggtable(
d,
"Survived",
c("Class", "Sex", "Age"),
mapping = aes(weight = Freq),
cells = "row.prop",
fill = "std.resid"
)
)
})
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