生成ggplot2中多个变量的箱线图而不进行分解 [英] Generate boxplots for multiple variables in ggplot2 without factoring

问题描述

添加了使用标准boxplot()函数生成的boxplot.

Added the boxplot generated with standard boxplot() function.

给出虹膜数据，以下代码:

Given the iris dataste, the following code:

boxplot(iris[,])

创建一个具有五个框的箱形图，每个变量一个，而不将它们分为种类(例如物种).尽管这很简单，但是我无法在ggplot2中做同样的事情.

Creates a boxplot with five boxes, one for each variable, without splitting them into categories such as, for instance, species. While this is simple enough, I have been unable to do the same in ggplot2.

那么我的问题很简单:我该如何实现?

My question, then, is simple: how can I achieve this?

推荐答案

种类是一个具有三个级别的因素( setosa ， versicolor 和 virginica ).我认为如果将其与其他变量一起绘制是没有意义的.

Species is a factor with three levels (setosa, versicolor and virginica). I think it doesn't make sense if you plot it with the other variables.

如果要绘制所有其他4个变量( Sepal.Length ， Sepal.Width ， Petal.Length ，和 Petal.Width )如下图所示

It makes more sense if you want to plot all other 4 variables (Sepal.Length, Sepal.Width, Petal.Length, and Petal.Width) in one plot as below

library(dplyr)
library(tidyr)
library(ggplot2)
iris %>% dplyr::select(Species, everything()) %>% tidyr::gather("id", "value",2:5) %>% 
  ggplot(., aes(x = id, y = value))+geom_boxplot()

如果要在同一图中绘制所有5个变量，则需要将 species 转换为数字

If you want to plot all 5 variables in the same plot, you need to convert species to be numeric

iris %>% dplyr::mutate(Species = as.numeric(Species)) %>% tidyr::gather("id", "value",1:5) %>% 
  ggplot(., aes(x = id, y = value))+geom_boxplot()

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