R/scale-pattern-viridis.R
, R/zxx.r
scale_pattern_colour_viridis_d.Rd
The viridis
scales provide colour maps that are perceptually uniform in both
colour and black-and-white. They are also designed to be perceived by viewers
with common forms of colour blindness. See also
https://bids.github.io/colormap/.
scale_pattern_colour_viridis_d(
...,
alpha = 1,
begin = 0,
end = 1,
direction = 1,
option = "D",
aesthetics = "pattern_colour"
)
scale_pattern_fill_viridis_d(
...,
alpha = 1,
begin = 0,
end = 1,
direction = 1,
option = "D",
aesthetics = "pattern_fill"
)
scale_pattern_fill2_viridis_d(
...,
alpha = 1,
begin = 0,
end = 1,
direction = 1,
option = "D",
aesthetics = "pattern_fill2"
)
scale_pattern_colour_viridis_c(
...,
alpha = 1,
begin = 0,
end = 1,
direction = 1,
option = "D",
values = NULL,
space = "Lab",
na.value = "grey50",
guide = guide_colourbar(available_aes = "pattern_colour"),
aesthetics = "pattern_colour"
)
scale_pattern_fill_viridis_c(
...,
alpha = 1,
begin = 0,
end = 1,
direction = 1,
option = "D",
values = NULL,
space = "Lab",
na.value = "grey50",
guide = guide_colourbar(available_aes = "pattern_fill"),
aesthetics = "pattern_fill"
)
scale_pattern_fill2_viridis_c(
...,
alpha = 1,
begin = 0,
end = 1,
direction = 1,
option = "D",
values = NULL,
space = "Lab",
na.value = "grey50",
guide = guide_colourbar(available_aes = "pattern_fill2"),
aesthetics = "pattern_fill2"
)
Other arguments passed on to discrete_scale()
,
continuous_scale()
, or binned_scale to control name, limits, breaks,
labels and so forth.
See ggplot2::scale_colour_viridis_d
for more information
Character string or vector of character strings listing the
name(s) of the aesthetic(s) that this scale works with. This can be useful, for
example, to apply colour settings to the colour
and fill
aesthetics at the
same time, via aesthetics = c("colour", "fill")
.
A ggplot2::Scale object.
if (require("ggplot2")) {
df <- data.frame(level = c("a", "b", "c", "d"),
outcome = c(2.3, 1.9, 3.2, 1))
# discrete 'viridis' palette
gg <- ggplot(df) +
geom_col_pattern(
aes(level, outcome, pattern_fill = level),
pattern = 'stripe',
fill = 'white',
colour = 'black'
) +
theme_bw(18) +
scale_pattern_fill_viridis_d()
plot(gg)
# continuous 'viridis' palette
gg <- ggplot(df) +
geom_col_pattern(
aes(level, outcome, pattern_fill = outcome),
pattern = 'stripe',
fill = 'white',
colour = 'black'
) +
theme_bw(18) +
scale_pattern_fill_viridis_c()
plot(gg)
}