我正在使用ggplot并使用命令fill = factor(Zone)创建了一个geom_bar图,以便在x轴上显示每个试验(试验1,2)的3个柱(区域a,b,c)。
但是,这也会根据' Zone'自动为我的酒吧分配颜色。 (即区域a =红色,b =蓝色,c =绿色)而不是我的手动调色板。
如何通过试验和区域(即完全不同)保持x轴分离,但是手动或根据另一个参数指定条形颜色?
数据:
dput(summarydata)
structure(list(trial = c(1, 1, 1, 2, 2, 2), zone = c("c", "b",
"a", "c", "b", "a"), N = c(77, 77, 77, 9, 9, 9), mean = c(24.339207007839,
24.3293834745274, 51.3314095176336, 4.97411297139253, 61.7131442273329,
33.3127428012746), median = c(24.2125207231389, 24.9084249084249,
50.7692307692308, 5.20833333333333, 67.6056338028169, 30.2083333333333
), sd = c(9.57972648488188, 10.5885530988102, 17.117966513353,
2.96053414557149, 12.2967321565455, 12.5049588941075), se = c(1.0917111525428,
1.20667761501389, 1.95077333167849, 0.986844715190498, 4.09891071884851,
4.16831963136916)), .Names = c("trial", "zone", "N", "mean",
"median", "sd", "se"), row.names = c(NA, -6L), class = "data.frame")
代码:
Palette1<-c("red", "red", "blue", "red", "green", "blue")
ggplot(summarydata, aes(x=trial, y=mean, fill=zone))+
geom_bar(position="dodge",stat="identity") +
scale_x_discrete (labels=c ("Trial 1", "Trial 2"))+
scale_fill_manual (values=Palette1)
答案 0 :(得分:0)
使用zone
变量,每个区域可以有一种颜色。如果您需要每zone
和trial
一种颜色,则必须创建一个组合trial
和zone
的新变量。例如,这是如何做到的。
library(ggplot2)
# Change trial to a factor (maybe it's already a factor in the original data
# and it was lost in the dput pasted above)
summarydata$trial <- factor(summarydata$trial)
# Create a new variable combining trial and zone
summarydata$trialzone <- paste0("Trial",summarydata$trial,
summarydata$zone)
Palette1<-c("red", "red", "blue", "red", "green", "blue")
ggplot(summarydata, aes(x=trial, y=mean, fill=trialzone))+
geom_bar(position="dodge",stat="identity") +
scale_x_discrete(labels = c("Trial 1", "Trial 2")) +
scale_fill_manual(values = Palette1)
添加其他变量以使图例颜色对应 红色高,蓝色中等,绿色低
summarydata$variable <- factor(c("medium", "high", "high",
"medium", "low", "high"),
levels = c("high", "medium", "low"),
ordered = TRUE)
Palette2 <- c("red","blue","green")
使用group
分隔一次试用中具有相同填充/颜色的zones
ggplot(summarydata, aes(x=trial, y=mean,
fill=variable, group = zone))+
geom_bar(position="dodge",stat="identity") +
scale_x_discrete(labels = c("Trial 1", "Trial 2")) +
scale_fill_manual(values = Palette2)
答案 1 :(得分:0)