context("Geom testing")
library(ggplot2)
library(vdiffr)
library(magrittr)
# Define input df
df <-
# Use built-in demo dataset
df_linear_associations %>%
# Arrange by name in order to filter the first few biomarkers for more
# than one studies
dplyr::arrange(name) %>%
# Estimate confidence intervals
dplyr::mutate(
xmin = beta - qnorm(1 - (1 - 0.95) / 2) * se,
xmax = beta + qnorm(1 - (1 - 0.95) / 2) * se
) %>%
# Select only first 30 rows (10 biomarkers)
dplyr::filter(dplyr::row_number() <= 30) %>%
# Add a logical variable for statistical significance
dplyr::mutate(filled = pvalue < 0.001)
g <-
ggplot(data = df, aes(x = beta, y = name))
test_that("geom_effect works", {
vdiffr::expect_doppelganger(
title = "geom-effect",
fig =
g + geom_effect(
ggplot2::aes(
xmin = xmin,
xmax = xmax,
colour = trait,
shape = trait,
filled = filled
),
position = ggstance::position_dodgev(height = 0.5)
) +
theme(panel.grid.major = element_line()),
path = "geom_effect"
)
})
test_that("geom_stripes works", {
vdiffr::expect_doppelganger(
title = "geom-stripes",
fig =
g + geom_effect(
ggplot2::aes(
xmin = xmin,
xmax = xmax,
colour = trait,
shape = trait,
filled = filled
),
position = ggstance::position_dodgev(height = 0.5)
) +
theme_minimal() +
geom_stripes(),
path = "geom_stripes"
)
})
test_that("theme_forest works", {
vdiffr::expect_doppelganger(
title = "theme-forest",
fig =
g + geom_effect(
ggplot2::aes(
xmin = xmin,
xmax = xmax,
colour = trait,
shape = trait,
filled = filled
),
position = ggstance::position_dodgev(height = 0.5)
) +
theme_forest(),
path = "theme_forest"
)
})
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.