如何使用 ggplot2 更改我的多个区域图的图例、国家标签和大小？

Question

我试图更改我的图例和在其中一个区域图中多次出现的国家/地区的名称。

我。如您所见，图例出现了好几次。我希望这个传说出现在最后一张照片中。对于两者：症状和合并症：

1. 如果这可以在整个图上方显示为：症状：胸痛、发冷等和合并症：哮喘、1 型糖尿病等。

二。每个区域地块的大小不同

1. 它们的大小应该相同。

三。还有国家标签。很好，这些只出现过一次。希望它们看起来像最后一张图片：

A - 印度， B - 巴基斯坦， C - 英国，位于每组面积图上方的左侧。

这是一个我希望我的情节看起来像的示例

这是代码和假数据集：

sympt_count_plot <- ggplot2::ggplot(count_symptoms, ggplot2::aes(x = age_band, y = Count, group = symptoms, fill = symptoms)) +
  ggplot2::geom_area( color = "white") + 
  ggplot2::scale_x_discrete(limits = c( "0-19" ,"20-39", "40-59","60+"), expand = c(0, 0)) +
  ggplot2::scale_y_continuous(expand = expansion(mult = c(0, 0.1))) + 
  viridis::scale_fill_viridis(discrete = TRUE) + 
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust = 1)) + 
  ggplot2::facet_grid(Country ~.)

sympt_count_plot


sympt_percent_plot <- ggplot2::ggplot(count_symptoms, ggplot2::aes(x = age_band, y = Percent, group = symptoms, fill = symptoms)) +
  ggplot2::geom_area( color = "white") + 
  ggplot2::scale_x_discrete(limits = c( "0-19" ,"20-39", "40-59","60+"), expand = c(0, 0)) +
  ggplot2::scale_y_continuous(expand = expansion(mult = c(0, 0.1))) + 
  viridis::scale_fill_viridis(discrete = TRUE) + 
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust = 1)) + 
  ggplot2::facet_grid(Country ~.)

sympt_percent_plot


library(patchwork)
plot_sympt <- sympt_count_plot + sympt_percent_plot

plot_sympt



comorb_count_plot <- ggplot2::ggplot(count_comorbidities, ggplot2::aes(x = age_band, y = Count, group = comorbidities, fill = comorbidities)) +
  ggplot2::geom_area( color = "white") + 
  ggplot2::scale_x_discrete(limits = c( "0-19" ,"20-39", "40-59","60+"), expand = c(0, 0)) +
  ggplot2::scale_y_continuous(expand = expansion(mult = c(0, 0.1))) + 
  #viridis::scale_fill_viridis(discrete = TRUE) + 
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust = 1)) + 
  ggplot2::facet_grid(Country ~.)

comorb_count_plot




comorb_percent_plot <- ggplot2::ggplot(count_comorbidities, ggplot2::aes(x = age_band, y = Percent, group = comorbidities, fill = comorbidities)) +
  ggplot2::geom_area( color = "white") + 
  ggplot2::scale_x_discrete(limits = c( "0-19" ,"20-39", "40-59","60+"), expand = c(0, 0)) +
  ggplot2::scale_y_continuous(expand = expansion(mult = c(0, 0.1))) + 
  #viridis::scale_fill_viridis(discrete = TRUE) + 
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust = 1)) + 
  ggplot2::facet_grid(Country ~.)

comorb_percent_plot


plot_comorb <- comorb_count_plot + comorb_percent_plot

plot_comorb

plot_sympt + plot_comorb 

有没有办法让我按照我想要的方式获得它们。非常感谢您的帮助。

Answer 1

您可以使用cowplot::get_legend 收集图例，然后按您喜欢的方式排列它们。这是一个完整的代表：

# 加载包和数据

library(ggplot2)
library(patchwork)

git <- "https://github.com/gabrielburcea/stackoverflow_fake_data/raw/master"
count_symptoms <- readr::read_csv(paste0(git, "/fake_symptoms.csv"))
count_comorbidities <- readr::read_csv(paste0(git, "/fake_comorbidities.csv"))

#情节1

sympt_count_plot <- ggplot(count_symptoms) +
  geom_area(aes(x = age_band, y = Count, group = symptoms, fill = symptoms),
            color = "white") + 
  scale_x_discrete(limits = c( "0-19" ,"20-39", "40-59","60+"), 
                   expand = c(0, 0)) +
  scale_fill_viridis_d() +  
  scale_y_continuous(expand = expansion(mult = c(0, 0.1))) + 
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust = 1),
        strip.background = element_blank(),
        strip.text = element_text(size = 14, face = "bold", hjust = 0)) + 
  facet_wrap(~Country, ncol = 1)

#情节2

sympt_percent_plot <- ggplot(count_symptoms) +
  geom_area(aes(x = age_band, y = Percent, group = symptoms, fill = symptoms),
            color = "white") + 
  scale_x_discrete(limits = c( "0-19" ,"20-39", "40-59","60+"), expand = c(0, 0)) +
  scale_y_continuous(expand = expansion(mult = c(0, 0.1))) + 
  scale_fill_viridis_d() +  
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust = 1),
        strip.background = element_blank(),
        strip.text = element_text(size = 14, face = "bold", color = "white")) + 
  facet_wrap(~Country, ncol = 1)

#情节3

comorb_count_plot <- ggplot(count_comorbidities) +
  geom_area(aes(age_band, Count, group = comorbidities, fill = comorbidities),
            color = "white") + 
  scale_x_discrete(limits = c( "0-19" ,"20-39", "40-59","60+"),
                   expand = c(0, 0)) +
  scale_y_continuous(expand = expansion(mult = c(0, 0.1))) + 
  scale_fill_brewer(palette = "Oranges") +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust = 1),
        strip.background = element_blank(),
        strip.text = element_text(size = 14, face = "bold", color = "white")) + 
  facet_wrap(~Country, ncol = 1)

#情节4

comorb_percent_plot <- ggplot(count_comorbidities) +
  geom_area(aes(age_band, Percent, group = comorbidities, fill = comorbidities),
            color = "white") + 
  scale_x_discrete(limits = c( "0-19" ,"20-39", "40-59","60+"), 
                   expand = c(0, 0)) +
  scale_y_continuous(expand = expansion(mult = c(0, 0.1))) + 
  scale_fill_brewer(palette = "Oranges") +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust = 1),
        strip.background = element_blank(),
        strip.text = element_text(size = 14, face = "bold", color = "white")) + 
  facet_wrap(~Country, ncol = 1)

# 将图拼接在一起

plot_sympt <-  sympt_count_plot + theme(legend.position = "none") + 
               sympt_percent_plot + theme(legend.position = "none")

plot_comorb <- comorb_count_plot + theme(legend.position = "none") +
               comorb_percent_plot + theme(legend.position = "none")

plot_legend <- wrap_plots(
  cowplot::get_legend(sympt_percent_plot),
  cowplot::get_legend(comorb_percent_plot),
  ncol = 1)
  
wrap_plots(plot_sympt, plot_comorb, plot_legend,
                     nrow = 1, widths = c(2, 2, 1))

^{由reprex package (v0.3.0) 于 2020 年 11 月 14 日创建}