R 中的 scale_colour_discrete 函数
本文将介绍如何在 R 中使用 scale_colour_discrete。
使用 scale_colour_discrete 修改 R 中的 colour 比例标签
scale_colour_discrete 可用于修改通常需要具有离散值的 colour 比例标签。在这种情况下，我们演示了一个使用过滤后的 babynames 数据集的示例，从中仅提取了五个名字以使其更简单。我们使用 geom_line 绘制线图。x/y 轴上的映射变量是婴儿的数量和他们出生的年份。由于名称映射到 colour 比例，它们将有一个图例，其中不同的颜色被映射到每个其中。使用 scale_colour_discrete 函数的 labels 参数，我们可以传递一个值向量，我们可以用它来替换现有的比例标签。
library(ggplot2)
library(gridExtra)
library(babynames)
library(dplyr)
dat <- babynames %>%
filter(name %in% c("Alice", "Maude", "Mae",
"Annie", "Ella")) %>% filter(sex=="F")
p3 <- ggplot(dat, aes(x = year, y = n, colour = name)) +
geom_line() +
scale_colour_discrete(
labels = c("Al", "Mau", "Mae", "An", "El")) +
scale_y_continuous(
breaks = seq(0, 13000, 1000),
name = "Number of babies") +
scale_x_continuous(
breaks = seq(1880, 2017, 12),
name = "Year") +
theme(
legend.position = "left",
legend.background = element_rect(fill = "white", colour = "black"),
plot.title = element_text(
size = rel(1.2), lineheight = .9,
family = "Calibri", face = "bold", colour = "brown"
)) +
ggtitle("Name Popularity Through Years")
p3
使用 scale_colour_discrete 修改 R 中的 colour 比例名称
scale_colour_discrete 函数的另一个有用参数是 name，它控制 colour 刻度标题。自定义字符串值可以分配给 name 参数，这会在以下示例代码中生成修改后的图例名称。
library(ggplot2)
library(gridExtra)
library(babynames)
library(dplyr)
dat <- babynames %>%
filter(name %in% c("Alice", "Maude", "Mae",
"Annie", "Ella")) %>% filter(sex=="F")
p3 <- ggplot(dat, aes(x = year, y = n, colour = name)) +
geom_line() +
scale_colour_discrete(
name = "Name",
labels = c("Al", "Mau", "Mae", "An", "El")) +
scale_y_continuous(
breaks = seq(0, 13000, 1000),
name = "Number of babies") +
scale_x_continuous(
breaks = seq(1880, 2017, 12),
name = "Year") +
theme(
legend.position = "left",
legend.background = element_rect(fill = "white", colour = "black"),
plot.title = element_text(
size = rel(1.2), lineheight = .9,
family = "Calibri", face = "bold", colour = "brown"
)) +
ggtitle("Name Popularity Through Years")
p3
前面的图在单个面板上绘制所有线条，但我们可以使用 facet_wrap 函数在单独的一个面板上输出每条线。facet_wrap 将需要映射的变量作为第一个参数。
library(ggplot2)
library(gridExtra)
library(babynames)
library(dplyr)
dat <- babynames %>%
filter(name %in% c("Alice", "Maude", "Mae",
"Annie", "Ella")) %>% filter(sex=="F")
p4 <- ggplot(dat, aes(x = year, y = n, colour = name)) +
geom_line() +
scale_colour_discrete(
name = "Name",
labels = c("Al", "Mau", "Mae", "An", "El")) +
scale_y_continuous(
breaks = seq(0, 13000, 1000),
name = "Number of babies") +
scale_x_continuous(
breaks = seq(1880, 2017, 12),
name = "Year") +
theme(
legend.position = "left",
legend.background = element_rect(fill = "white", colour = "black"),
plot.title = element_text(
size = rel(1.2), lineheight = .9,
family = "Calibri", face = "bold", colour = "brown"
)) +
ggtitle("Name Popularity Through Years") +
facet_wrap(vars(name))
p4
Founder of DelftStack.com. Jinku has worked in the robotics and automotive industries for over 8 years. He sharpened his coding skills when he needed to do the automatic testing, data collection from remote servers and report creation from the endurance test. He is from an electrical/electronics engineering background but has expanded his interest to embedded electronics, embedded programming and front-/back-end programming.
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