我第一次使用ggplot2,我很难让我用ggrepel创建的标签的颜色动态变化。目前,我的代码如下所示:
ggplot(tstat) +
geom_point(aes(Mu, Sigma),size = 5, color = 'black') +
geom_label_repel(aes(Mu, Sigma, label = VarNames, fill = factor(Hemisphere)), fontface = 'bold', color = 'white',
box.padding = unit(0.25, 'lines'),point.padding = unit(0.5, 'lines')) +
geom_rangeframe() +
theme_tufte() +
xlab(expression(paste(mu, "*"))) +
ylab(expression(sigma)) +
theme(axis.title.x = element_text(vjust=-0.5), axis.title.y = element_text(vjust=1.5)) +
ggtitle("Model Sensitivity by Hemisphere")一般来说,这是很好的工作,除了我强烈不喜欢它给我的牙膏绿色,因为这两个因素之一。我想规定fill = factor(Hemisphere))线的具体颜色,但我不知道怎么做。
我已经尝试过使用scale_colours_manual函数,但是当我将它包含在第3行的geom_label_repel(.....) paratheses中时,程序抱怨说"ggplot2不知道如何处理ScaleDisclin.Scale/ggproto类的数据“,当我将scale_colours_manual行放置在第3行之外时,它根本没有任何效果,就像在这个例子中,它产生了与上面的图相同的情节:
ggplot(tstat) +
geom_point(aes(Mu, Sigma),size = 5, color = 'black') +
scale_colour_manual(values = c('blue', 'red')) +
geom_label_repel(aes(Mu, Sigma, label = VarNames, fill = factor(Hemisphere)), fontface = 'bold', color = 'white',
box.padding = unit(0.25, 'lines'),point.padding = unit(0.5, 'lines')) +
geom_rangeframe() +
theme_tufte() +
xlab(expression(paste(mu, "*"))) +
ylab(expression(sigma)) +
theme(axis.title.x = element_text(vjust=-0.5), axis.title.y = element_text(vjust=1.5)) +
ggtitle("Model Sensitivity by Hemisphere")我知道一定有办法的,但我不知道。谢谢你的帮助!
编辑:根据要求,我附加了一个tstat的dput()。不是一个大的数据框架。
structure(list(VarNames = structure(c(4L, 1L, 3L, 2L, 5L, 6L,
4L, 1L, 3L, 2L, 5L, 6L), .Label = c("Dry Deposition", "MEGAN Acetone",
"MEGAN Terpenes", "Monoterpene Yield", "Ocean", "Photolysis"), class = "factor"),
Mu = c(2703.09, 8066.01, 6566.6, 19741.7, 5809.6, 14231.8, 1493.56, 3067.54, 3631.32, 9951.06, 8748.95, 7967.93),
Sigma = c(3478.28, 8883.23, 7276.49, 18454.4, 6218.8, 14989.7, 1925.14, 3410.27, 4017.64, 9289.57, 9354.64, 8403.1),
Hemisphere = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L),
.Label = c("Northern", "Southern"), class = "factor")),
.Names = c("VarNames", "Mu", "Sigma", "Hemisphere"),
class = "data.frame", row.names = c(NA, -12L))发布于 2016-06-06 19:15:30
您可以使用scale_fill_manual:
tstat <- structure(list(VarNames = structure(c(4L, 1L, 3L, 2L, 5L, 6L,
4L, 1L, 3L, 2L, 5L, 6L), .Label = c("Dry Deposition", "MEGAN Acetone",
"MEGAN Terpenes", "Monoterpene Yield", "Ocean", "Photolysis"), class = "factor"),
Mu = c(2703.09, 8066.01, 6566.6, 19741.7, 5809.6, 14231.8, 1493.56, 3067.54, 3631.32, 9951.06, 8748.95, 7967.93),
Sigma = c(3478.28, 8883.23, 7276.49, 18454.4, 6218.8, 14989.7, 1925.14, 3410.27, 4017.64, 9289.57, 9354.64, 8403.1),
Hemisphere = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L),
.Label = c("Northern", "Southern"), class = "factor")),
.Names = c("VarNames", "Mu", "Sigma", "Hemisphere"),
class = "data.frame", row.names = c(NA, -12L))
library(ggplot2)
library(ggrepel)
library(ggthemes)
ggplot(tstat) +
geom_point(aes(Mu, Sigma),size = 5, color = 'black') +
geom_label_repel(aes(Mu, Sigma, label = VarNames, fill = factor(Hemisphere)), fontface = 'bold', color = 'white',
box.padding = unit(0.25, 'lines'),point.padding = unit(0.5, 'lines')) +
geom_rangeframe() +
theme_tufte() +
xlab(expression(paste(mu, "*"))) +
ylab(expression(sigma)) +
theme(axis.title.x = element_text(vjust=-0.5), axis.title.y = element_text(vjust=1.5)) +
ggtitle("Model Sensitivity by Hemisphere") +
scale_fill_manual(values = setNames(c("lightblue", "darkgreen"), levels(tstat$Hemisphere)))

https://stackoverflow.com/questions/37664025
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