按颜色对 ggplot facet_wrap 进行排序?
Sort ggplot facet_wrap by color?
我想按 ggplot
facet_wrap
按颜色排序。
例如,在此演示代码中,颜色对应于 A、B、C 组。我希望所有红色图都彼此相邻,蓝色和绿色图也一样。
我尝试按组对数据进行排序,但 ggplot
似乎在绘图时切换了顺序。
library(tidyverse)
set.seed(42)
# Generate example data frame
id <- 1:15
data <- map(id, ~rnorm(10))
date <- map(id, ~1:10)
group <- map_chr(id, ~sample(c('a','b','c'), size=1))
df <- tibble(id=id, data=data, date=date, group=group) %>% unnest(cols = c(data, date))
# Generate plot
df %>%
arrange(group) %>%
ggplot(mapping = aes(x=date, y=data, color=group)) +
geom_line() +
geom_point() +
facet_wrap(~ id)
这将是一种方式(虽然必须去掉双标题):
df %>%
arrange(group) %>%
ggplot(mapping = aes(x=date, y=data, color=group)) +
geom_line() +
geom_point() +
facet_wrap(~ group + id)
这可能有帮助:
library(tidyverse)
set.seed(42)
# Generate example data frame
id <- 1:15
data <- map(id, ~rnorm(10))
date <- map(id, ~1:10)
group <- map_chr(id, ~sample(c('a','b','c'), size=1))
df <- tibble(id=id, data=data, date=date, group=group) %>% unnest(cols = c(data, date))
df2 <- df %>% mutate(id=factor(id))%>%
group_by(group) %>%
mutate(N = n()) %>%
ungroup() %>%
mutate(id = fct_reorder(id, N))
# Generate plot
df2 %>%
arrange(group) %>%
ggplot(mapping = aes(x=date, y=data, color=group)) +
geom_line() +
geom_point() +
facet_wrap(~ id)
我想按 ggplot
facet_wrap
按颜色排序。
例如,在此演示代码中,颜色对应于 A、B、C 组。我希望所有红色图都彼此相邻,蓝色和绿色图也一样。
我尝试按组对数据进行排序,但 ggplot
似乎在绘图时切换了顺序。
library(tidyverse)
set.seed(42)
# Generate example data frame
id <- 1:15
data <- map(id, ~rnorm(10))
date <- map(id, ~1:10)
group <- map_chr(id, ~sample(c('a','b','c'), size=1))
df <- tibble(id=id, data=data, date=date, group=group) %>% unnest(cols = c(data, date))
# Generate plot
df %>%
arrange(group) %>%
ggplot(mapping = aes(x=date, y=data, color=group)) +
geom_line() +
geom_point() +
facet_wrap(~ id)
这将是一种方式(虽然必须去掉双标题):
df %>%
arrange(group) %>%
ggplot(mapping = aes(x=date, y=data, color=group)) +
geom_line() +
geom_point() +
facet_wrap(~ group + id)
这可能有帮助:
library(tidyverse)
set.seed(42)
# Generate example data frame
id <- 1:15
data <- map(id, ~rnorm(10))
date <- map(id, ~1:10)
group <- map_chr(id, ~sample(c('a','b','c'), size=1))
df <- tibble(id=id, data=data, date=date, group=group) %>% unnest(cols = c(data, date))
df2 <- df %>% mutate(id=factor(id))%>%
group_by(group) %>%
mutate(N = n()) %>%
ungroup() %>%
mutate(id = fct_reorder(id, N))
# Generate plot
df2 %>%
arrange(group) %>%
ggplot(mapping = aes(x=date, y=data, color=group)) +
geom_line() +
geom_point() +
facet_wrap(~ id)