ggplot2:scale_fill_brewer中NA的图例 [英] ggplot2: Legend for NA in scale_fill_brewer

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本文介绍了ggplot2:scale_fill_brewer中NA的图例的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

我想知道如何在 scale_fill_brewer 中获得 NA 值的图例类别。这是我的MWE。

pre $ set $ se $(12345)
dat < -
data.frame (
Row = rep(x = LETTERS [1:5],times = 10)
,Col = rep(x = LETTERS [1:10],each = 5)
,Y = c(rnorm(n = 48,mean = 500,sd = 1),NA,NA)


dat $ Y1 < - addNA(cut(log(dat $ Y ),(5))

levels(dat $ Y1)
[1](6.21,6.212)(6.212,6.214)(6.214,6.216)(6.216 ,6.218](6.218,6.22)NA


library(ggplot2)

ggplot(data = dat,aes(x = Row,y = Col))+
geom_tile(aes(fill = Y1),color =white)+
scale_fill_brewer(palette =PRGn)

p>你可以明确地将缺失的值作为你的 Y1 因子的另一个等级来获取它在你的图例中。



在像之前一样剪切变量之后,您会希望将 NA 添加到该因子的级别。

  dat $ Y1 < -  cut(log(dat $ Y),5) 
等级(dat $ Y1)<-c(等级(dat $ Y1),NA)

然后将所有缺少的值更改为字符串 NA

   

这使得图中的 NA 图例的一部分:


I wonder how I can get legend category for NA values in scale_fill_brewer. Here is my MWE.

set.seed(12345)
dat <- 
  data.frame(
    Row = rep(x = LETTERS[1:5], times = 10)
    , Col = rep(x = LETTERS[1:10], each = 5)
    , Y = c(rnorm(n = 48, mean = 500, sd = 1), NA, NA)
  )

dat$Y1 <-  addNA(cut(log(dat$Y), 5))

levels(dat$Y1)
[1] "(6.21,6.212]"  "(6.212,6.214]" "(6.214,6.216]" "(6.216,6.218]" "(6.218,6.22]"  NA   


library(ggplot2)

ggplot(data =  dat, aes(x = Row, y = Col)) + 
  geom_tile(aes(fill = Y1), colour = "white") +
  scale_fill_brewer(palette = "PRGn")

解决方案

You could explicitly treat the missing values as another level of your Y1 factor to get it on your legend.

After cutting the variable as before, you will want to add NA to the levels of the factor. Here I add it as the last level.

dat$Y1 <-  cut(log(dat$Y), 5)
levels(dat$Y1) <- c(levels(dat$Y1), "NA")

Then change all the missing values to the character string NA.

dat$Y1[is.na(dat$Y1)] <- "NA"

This makes NA part of the legend in your plot:

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