当我在ggplot2中使用scale_fill_gradient()和geom_bar()时,只为所有条形填充一个默认颜色。但是期待从低到高的绿色为RED。
theTable <- within(data, Tag <- factor(tag, levels=names(sort(table(tag),
decreasing=FALSE))))
histGraph=ggplot(theTable,aes(x=Tag))+
coord_flip() +
scale_fill_gradient(low = "green", high = "red")+
geom_bar(width=0.7)
输出上述代码,
数据看起来像,
ID Tag
1 BibArticleDOI
1 FirstPage
1 LastPage
2 BibArticleDOI
2 JournalTitle
3 BibArticleDOI
3 FirstPage
修改 正如Roman的建议,编辑上面的代码。
dataOfTag <- as.data.frame(table(data$tag))
dataOfTag$tag <- factor(dataOfTag$Var1, levels = dataOfTag$Var1[order(dataOfTag$Freq)])
histPlot=ggplot(dataOfTag,aes(x=tag, y = Freq, fill = Freq))+
coord_flip() +
scale_fill_gradient(low = "green", high = "red")+
geom_bar(width=0.7, stat = "identity")
histPlot
答案 0 :(得分:8)
您可以尝试以下代码的内容。 预计算频率并将填充分配给频率变量。
library(ggplot2)
xy <- data.frame(letters = sample(letters[1:6], size = 1000, replace = TRUE, prob = c(0.5, 0.3, 0.1, 0.5, 0.25, 0.25)))
xy2 <- as.data.frame(table(xy$letters))
xy2$Var1 <- factor(xy2$Var1, levels = xy2$Var1[order(xy2$Freq)])
ggplot(xy2,aes(x=Var1, y = Freq, fill = Freq))+
coord_flip() +
scale_fill_gradient(low = "green", high = "red")+
geom_bar(width=0.7, stat = "identity")
答案 1 :(得分:0)
我认为您可以使用..count..
,因此您无需预先计算频率:
histGraph=ggplot(theTable,aes(x=Tag, fill=..count..))+
coord_flip() +
scale_fill_gradient(low = "green", high = "red")+
geom_bar(width=0.7)