plot

ggplot2优雅的自定义分面轴刻度

2021-09-23  本文已影响0人  R语言数据分析指南

本节来解释如何使用ggh4x自带的facetted_pos_scales( )来自定义分面图形的轴刻度

加载R包

library(tidyverse)
library(ggh4x)

数据清洗

air_df <- airquality %>% 
  pivot_longer(cols = 1:4,names_to = "Env_vars",
               values_to = "Values")

绘制分面折线图

P <- ggplot(air_df, aes(x = Day,y = Values,color = as.factor(Month),group = Month)) + 
  geom_point() + geom_line() +
  labs(x = "Day of month", y = NULL) +
  scale_color_brewer(palette = "Set1", labels = c("May","June","July","August","September")) +
  facet_wrap(~Env_vars, nrow = 2, 
             scales = "free_y",strip.position = "left", 
             labeller = as_labeller(c(Temp = "Temperature (°F)", 
                                      Solar.R = "Solar radiace (lang)",
                                      Wind = "Wind (mph)",
                                      Ozone = "Ozone (ppb)"))) + 
  theme(strip.background = element_blank(),
        strip.placement = "outside",
        legend.position = "top",
        legend.title = element_blank())

P 

自定义轴刻度

P + facetted_pos_scales(
  y = list(Env_vars == "Ozone" ~ scale_y_continuous(limits=c(0,200),breaks=seq(0,200,40)),
           Env_vars == "Solar.R" ~ scale_y_continuous(limits=c(0, 350),breaks=seq(0,350,50)),
           Env_vars == "Temp" ~ scale_y_continuous(limits=c(40, 120),breaks=seq(40,120,20)),
           Env_vars == "Wind" ~ scale_y_continuous(limits=c(0,30),breaks=seq(0,30,5),
                                                   labels = letters[1:7])))

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