Nothing
test_that("wordmark geom works", {
# skip because of the multithread problem
skip_on_cran()
library(ggplot2)
teams_a <- c("KC", "MIA", "TB", "ARI", "LAC", "IND", "TEN", "PIT",
"NO", "CLE", "CIN", "MIN", "DAL", "JAX", "ATL", "BAL")
teams_b <- c("BUF", "CAR", "CHI", "DEN", "DET", "GB", "HOU", "LA",
"LV", "NE", "NYG", "NYJ", "PHI", "SEA", "SF", "WAS")
df_a <- data.frame(
a = rep(1:4, 2),
b = sort(rep(1:4, 4), decreasing = TRUE),
teams = teams_a
)
df_b <- data.frame(
a = rep(1:4, 2),
b = sort(rep(1:4, 4), decreasing = TRUE),
teams = teams_b
)
# keep alpha == 1 for all teams including an "A"
matches <- grepl("A", df_a$teams)
df_a$alpha <- ifelse(matches, 1, 0.2)
# set a custom fill colour for the non "A" teams
matches <- grepl("A", df_b$teams)
df_b$colour <- ifelse(matches, NA, "gray")
# apply alpha via an aesthetic from inside the dataset `df_a`
p1 <- ggplot(df_a, aes(x = a, y = b)) +
geom_nfl_wordmarks(aes(team_abbr = teams, alpha = alpha), width = 0.12) +
geom_label(aes(label = teams), nudge_y = -0.20, alpha = 0.5) +
scale_x_continuous(expand = expansion(add = 0.5)) +
scale_alpha_identity() +
theme_void()
# apply colour via an aesthetic from inside the dataset `df_b`
p2 <- ggplot(df_b, aes(x = a, y = b)) +
geom_nfl_wordmarks(aes(team_abbr = teams, colour = colour), width = 0.12) +
geom_label(aes(label = teams), nudge_y = -0.20, alpha = 0.5) +
scale_x_continuous(expand = expansion(add = 0.5)) +
scale_alpha_identity() +
scale_color_identity() +
theme_void()
vdiffr::expect_doppelganger("p1", p1)
vdiffr::expect_doppelganger("p2", p2)
})
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