用两个图例更改 ggplot 中的两个图例标题

发布于 2024-11-27 08:59:31 字数 843 浏览 0 评论 0原文

我的 ggplot 上有两个图例，具有两个不同的图例标题（从 ggplot() 自动创建）。现在，我想更改这个图例标题。 + labs(colour = "legend name") 仅更改第二个图例标题。我怎样才能改变第一个呢？

示例数据：

dataset <- structure(list(date = structure(c(1264572000, 1266202800, 1277362800), 
class = c("POSIXt", "POSIXct"), tzone = ""), 
x1 = c(-0.00183760994446658, 0.00089738603087497, 0.000423513598318936), 
x2 = c("approach x","approach y","approach z"), 
x3 = c("Type1", "Type1", "Type2")) ,
.Names = c("date", "data","code","type"),
row.names = c("1", "2", "3"), class = "data.frame")

这是我生成绘图的代码：

p <- ggplot(dataset, aes(x=date, y=data)) +
geom_point(aes(shape = factor(type), color = code)) +
scale_shape_manual(value=c(23,15))
print(p)

图例标题默认为：“因子（类型）”和“代码”：在此处输入图像描述

原文

I have two legends on my ggplot with two different legend titles (automatically created from ggplot()). Now, I want to change this legend titles. + labs(colour = "legend name") only change the second legend title. How can I change the first one, too?

Sample data:

dataset <- structure(list(date = structure(c(1264572000, 1266202800, 1277362800), 
class = c("POSIXt", "POSIXct"), tzone = ""), 
x1 = c(-0.00183760994446658, 0.00089738603087497, 0.000423513598318936), 
x2 = c("approach x","approach y","approach z"), 
x3 = c("Type1", "Type1", "Type2")) ,
.Names = c("date", "data","code","type"),
row.names = c("1", "2", "3"), class = "data.frame")

Here is my code to produce the plot:

p <- ggplot(dataset, aes(x=date, y=data)) +
geom_point(aes(shape = factor(type), color = code)) +
scale_shape_manual(value=c(23,15))
print(p)

The legend titles are on default: "factor(type)" and "code":
enter image description here

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相思碎 2024-12-04 08:59:31

以下是使用 iris 数据集的示例：

data(iris)
ggplot(iris, aes(x=Sepal.Length, y=Sepal.Width)) +
    geom_point(aes(shape=Species, colour=Petal.Width)) + 
    scale_colour_gradient() +
    labs(shape="Species label", colour="Petal width label")

您可以使用 labs() 指定标签，并单独指定每个尺度，即 labs(shape="Species label" , color="花瓣宽度标签")。

在此处输入图像描述

Here is an example using the iris dataset:

data(iris)
ggplot(iris, aes(x=Sepal.Length, y=Sepal.Width)) +
    geom_point(aes(shape=Species, colour=Petal.Width)) + 
    scale_colour_gradient() +
    labs(shape="Species label", colour="Petal width label")

You specify the labels using labs(), with each scale separately specified, i.e. labs(shape="Species label", colour="Petal width label").

enter image description here

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