首页 > 解决方案 > ggplot同步y轴刻度

问题描述

我想在相同比例的 y 轴上生成两个直方图,gridExtra这是我的尝试:

library(rvest)
library(tidyverse)
library(gridExtra)

dat_url <- 'https://gender-pay-gap.service.gov.uk/viewing/download-data/2019'
dat <- read_csv(dat_url) 

p1 <- dat %>% 
  filter(between(DiffMedianHourlyPercent,-100,100)) %>% 
  ggplot(aes(x = DiffMedianHourlyPercent)) + 
  geom_histogram(aes(fill = DiffMedianHourlyPercent<=0),
                 breaks=seq(-100,100, by=2)) +
  guides(fill=FALSE)
p1 <- p1 + scale_fill_brewer(palette="Set2") + 
  theme_bw() +
  theme(legend.position="none")

p2 <- dat %>% 
  filter(between(DiffMeanHourlyPercent,-100,100)) %>% 
  ggplot(aes(x = DiffMeanHourlyPercent)) + 
  geom_histogram(aes(fill = DiffMeanHourlyPercent<=0),
                 breaks=seq(-100,100, by=2)) +
  guides(fill=FALSE)
p2 <- p2 + scale_fill_brewer(palette="Set2") + 
  theme_bw() +
  theme(legend.position="none")
p2

grid.arrange(p1, p2, nrow = 1)

从图中可以看出,y 轴的比例不同......在此处输入图像描述

标签: rggplot2gridextra

解决方案


我建议你尝试一种facet_wrap()方法。您的代码正在创建其他数据以创建不同的图。您可以设置一个最佳管道,以便根据您想要的变量重塑数据,并使用公共 y 轴获得所需的图。这里的代码:

library(rvest)
library(tidyverse)
library(gridExtra)
#Data
dat_url <- 'https://gender-pay-gap.service.gov.uk/viewing/download-data/2019'
dat <- read_csv(dat_url) 

#Plot
G1 <- dat %>% 
  select(c(DiffMedianHourlyPercent,DiffMeanHourlyPercent)) %>%
  pivot_longer(everything()) %>%
  #Filter
  group_by(name) %>%
  filter(between(value,-100,100)) %>%
  ggplot(aes(x = value)) + 
  geom_histogram(aes(fill = value<=0),
                 breaks=seq(-100,100, by=2)) +
  guides(fill=FALSE)+
  scale_fill_brewer(palette="Set2") + 
  theme_bw() +
  theme(legend.position="none")+
  facet_wrap(.~name,scales = 'free_x')

输出:

在此处输入图像描述


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