suppressPackageStartupMessages({
library(dplyr)
library(ggplot2)
library(ggpattern)
})
geom_bar_pattern()
(p <- ggplot(mpg, aes(class)) +
geom_bar_pattern(aes(pattern = class, pattern_angle = class), fill = 'white', colour = 'black',
pattern_spacing = 0.03, pattern_key_scale_factor = 1) +
theme_bw() +
labs(title = "ggpattern::geom_bar_pattern()") +
theme(
legend.key.size = unit(2.5, 'cm'),
# legend.justification = c(0, 1),
# legend.position = c(0, 1),
legend.direction = 'horizontal',
legend.position = 'bottom'
) +
coord_fixed(ratio = 1/15) +
scale_pattern_discrete(guide = guide_legend(nrow = 1)))
geom_bar_pattern()
df <- data.frame(
group = c("Cool", "But", "Use", "Less"),
value = c(10, 20, 30, 40)
)
(p <- ggplot(df, aes(x="", y = value, pattern = group, pattern_angle = group))+
geom_bar_pattern(
width = 1,
stat = "identity",
fill = 'white',
colour = 'black',
pattern_aspect_ratio = 1,
pattern_density = 0.3
) +
coord_polar("y", start=0) +
theme_void(20) +
theme(
legend.key.size = unit(2.5, 'cm')
) +
labs(title = "ggpattern::geom_bar_pattern() + coord_polar()"))
geom_boxplot_pattern()
(p <- ggplot(mpg, aes(class, hwy)) +
geom_boxplot_pattern(aes(pattern = class, pattern_fill=class), pattern_spacing = 0.03) +
# coord_flip() +
theme_bw() +
labs(title = "ggpattern::geom_boxplot_pattern()") +
theme(legend.key.size = unit(1.5, 'cm')) +
coord_fixed(1/4))
geom_col_pattern()
df <- data.frame(trt = c("a", "b", "c"), outcome = c(2.3, 1.9, 3.2))
(p <- ggplot(df, aes(trt, outcome)) +
geom_col_pattern(aes(pattern = trt, fill=trt), colour='black', pattern_density = 0.5, pattern_key_scale_factor = 0.95) +
theme_bw() +
labs(title = "ggpattern::geom_col_pattern()") +
theme(
legend.key.size = unit(2.5, 'cm')
) +
coord_fixed(ratio = 1/4))
geom_crossbar_pattern()
df <- data.frame(
trt = factor(c(1, 1, 2, 2)),
resp = c(1, 5, 3, 4),
group = factor(c(1, 2, 1, 2)),
upper = c(1.1, 5.3, 3.3, 4.2),
lower = c(0.8, 4.6, 2.4, 3.6)
)
(p <- ggplot(df, aes(trt, resp, colour = group)) +
geom_crossbar_pattern(aes(ymin = lower, ymax = upper, pattern_angle = trt,
pattern = group), width = 0.2, pattern_spacing = 0.02) +
theme_bw() +
labs(title = "ggpattern::geom_crossbar_pattern()") +
theme(legend.key.size = unit(3, 'cm')) +
coord_fixed(ratio = 1/5))
geom_density_pattern()
(p <- ggplot(mtcars) +
geom_density_pattern(aes(x=mpg, pattern_fill=as.factor(cyl), pattern = as.factor(cyl)),
fill = 'white',
pattern_density = 0.4,
pattern_key_scale_factor = 8/9,
pattern_lwd = 3) +
theme_bw() +
labs(title = "ggpattern::geom_density_pattern()") +
theme(legend.key.size = unit(1, 'cm')) +
# theme(legend.position = 'none') +
coord_fixed(ratio = 100))
geom_map_pattern()
library(maps)
crimes <- data.frame(state = tolower(rownames(USArrests)), USArrests)
crimesm <- reshape2::melt(crimes, id = 1)
states_map <- map_data("state")
(p <- ggplot(crimes, aes(map_id = state)) +
geom_map_pattern(
aes(
# fill = Murder,
pattern_fill = Murder,
pattern_spacing = state,
pattern_density = state,
pattern_angle = state,
pattern = state
),
fill = 'white',
colour = 'black',
map = states_map
) +
expand_limits(x = states_map$long, y = states_map$lat) +
coord_map() +
theme_bw() +
labs(title = "ggpattern::geom_map_pattern()") +
scale_pattern_density_discrete(range = c(0.01, 0.3)) +
scale_pattern_spacing_discrete(range = c(0.01, 0.05)) +
theme(legend.position = 'none'))
geom_polygon_pattern()
#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
# Data frame for a polyagon
#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
polygon_df <- dplyr::tibble(
angle = seq(0, 2*pi, length.out = 7) + pi/6,
x = cos(angle),
y = sin(angle)
)
#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
# Create a plot of a patterned polygon
#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
(p <- ggplot(polygon_df) +
geom_polygon_pattern(
aes(x = x, y = y),
fill = 'white',
colour = 'black',
pattern_spacing = 0.15,
pattern_density = 0.4,
pattern_fill = '#002366',
pattern_lwd = 5,
pattern_colour = 'lightblue',
pattern_angle = 45
) +
labs(title = "ggpattern") +
coord_equal() +
theme_bw(25) +
theme(axis.title = element_blank()))
geom_rect_pattern()
plot_df <- data.frame(
xmin = c(0, 10),
xmax = c(8, 18),
ymin = c(0, 10),
ymax = c(5, 19),
type = c('a', 'b'),
angle = c(45, 0),
pname = c('circle', 'circle'),
pcolour = c('red', 'blue'),
pspace = c(0.03, 0.05),
stringsAsFactors = FALSE
)
(p <- ggplot(plot_df) +
geom_rect_pattern(
aes(
xmin=xmin, ymin=ymin, xmax=xmax, ymax=ymax,
# pattern = I(pname),
pattern_angle = I(angle),
pattern_colour = I(pcolour),
pattern_spacing = I(pspace)
),
pattern = 'circle',
fill = 'white',
colour = 'black',
pattern_density = 0.3
) +
theme_bw() +
labs(title = "ggpattern::geom_rect_pattern()") +
theme(legend.key.size = unit(1.5, 'cm')))
geom_ribbon_pattern()
huron <- data.frame(year = 1875:1972, level = as.vector(LakeHuron))
(p <- ggplot(huron, aes(year)) +
geom_ribbon_pattern(aes(ymin = level - 1, ymax = level + 1), fill = NA, colour= 'black',
pattern = 'circle', pattern_spacing = 0.03, pattern_density = 0.5,
pattern_angle = 0,
outline.type = 'legacy') +
# geom_line(aes(y = level)) +
theme_bw() +
labs(title = "ggpattern::geom_ribbon_pattern()") +
theme(legend.key.size = unit(1.5, 'cm')))
geom_sf_pattern()
nc <- sf::st_read(system.file("shape/nc.shp", package = "sf"), quiet = TRUE)
nc <- nc %>% filter(between(CNTY_ID, 1820, 1830))
(p <- ggplot(nc) +
geom_sf_pattern(aes(pattern = NAME, fill=NAME),
pattern_aspect_ratio = 2.8) +
theme_bw() +
labs(title = "ggpattern::geom_sf()") +
theme(legend.key.size = unit(1.5, 'cm')))
#> Warning: Ignoring unknown aesthetics: fill
geom_tile_pattern()
df <- data.frame(
x = rep(c(2, 5, 7, 9, 12), 2),
y = rep(c(1, 2), each = 5),
z = factor(rep(1:5, each = 2)),
w = rep(diff(c(0, 4, 6, 8, 10, 14)), 2)
)
(p <- ggplot(df, aes(x, y)) +
geom_tile_pattern(aes(fill = z, pattern = z), colour = "grey50") +
theme_bw() +
labs(title = "ggpattern::geom_tile_pattern()") +
theme(legend.key.size = unit(2.5, 'cm')) +
coord_fixed(ratio = 3))