英文:
how to change default color for the value not defined when we use scale_fill_manual
问题
我有一个如下所示的图表。由于我只关注于 name %in% c("A", "B", "C")，我不会为其他名称定义颜色。默认情况下，它们被填充为深灰色。通过不为它们定义颜色，我能够绘制出 D 和 E，而不在图例中显示它们。
是否有一种方法可以将此默认颜色更改为浅灰色？如果可以，怎么做？
# 载入 ggplot2
library(ggplot2)
# 创建数据
data <- data.frame(
name=c("A","B","C","D","E"),
value=c(3,12,5,18,45)
)
# 条形图
ggplot(data, aes(x=name, y=value, fill=name)) +
geom_bar(stat = "identity") +
scale_fill_manual(
values = c("A"="red", "B"="green", "C"="blue") )
英文:
I have a plot like below. As I am only focusing on name %in% c("A", "B", "C") , I will not define the color for other names. By default, they were filled with dark grey. By not defining the color for those, I was able to plot D, E out without showing them in the legend.
Is it a way I can change this default color to light grey? If so , how?
# Load ggplot2
library(ggplot2)
# Create data
data <- data.frame(
name=c("A","B","C","D","E") ,
value=c(3,12,5,18,45)
)
# Barplot
ggplot(data, aes(x=name, y=value, fill=name)) +
geom_bar(stat = "identity") +
scale_fill_manual(
values = c("A"="red", "B"="green", "C"="blue") )
答案1
得分: 2
你可以使用参数na.value来将默认颜色更改为浅灰色，像这样：
# 载入 ggplot2
library(ggplot2)
# 创建数据
data <- data.frame(
name=c("A","B","C","D","E") ,
value=c(3,12,5,18,45)
)
# 条形图
ggplot(data, aes(x=name, y=value, fill=name)) +
geom_bar(stat = "identity") +
scale_fill_manual(
values = c("A"="red", "B"="green", "C"="blue"),
na.value = "lightgrey")
创建于2023-05-10，使用 reprex v2.0.2
英文:
You could use the argument na.value to change the default color to light grey like this:
# Load ggplot2
library(ggplot2)
# Create data
data <- data.frame(
name=c("A","B","C","D","E") ,
value=c(3,12,5,18,45)
)
# Barplot
ggplot(data, aes(x=name, y=value, fill=name)) +
geom_bar(stat = "identity") +
scale_fill_manual(
values = c("A"="red", "B"="green", "C"="blue"),
na.value = "lightgrey")
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<sup>Created on 2023-05-10 with reprex v2.0.2</sup>
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