我目前正在处理数据集" diamond",它包含在R.中。具体来说,我试图突出显示605的钻石价格,最常发生(132次)
我的代码如下:
library(ggplot2)
ggplot(diamonds) +
geom_histogram(aes(x=price),
binwidth = 10,
breaks = seq(250, 1000, 10),
color = "black") +
scale_fill_manual(values = c("[250,590]" = "#FF0000", "[600,610]" = "#FF9999", "[620,1000]" = "#FF0000"))
除了填写特定的间隔之外,我似乎把一切都弄好了。
我真的很感激帮助。谢谢!
答案 0 :(得分:1)
您可以使用cut
#Use cut to divide price into groups and table to count frequency of each group
temp = data.frame(table(cut(x = diamonds$price, breaks = seq(250, 1000, 10))))
ggplot(diamonds) +
geom_histogram(
aes(x = price),
binwidth = 10,
breaks = seq(250, 1000, 10),
color = "black",
#For the group with maximum value, assign red, otherwise assign black
fill = replace(rep("black", NROW(temp)), which.max(temp$Freq), "red"))