使用 purrr:map 和 ggplot [英] Use purrr:map with ggplot

问题描述

我没有太多使用 purrr 包的经验.我有一个名为 data 的数据框，如下所示:

I don't have much experience using the purrr package. I have a dataframe named data which looks like this:

Country Year Incidence
USA     1995 20000
USA     2000 23000
UK      1995 16000
UK      2000 22000

这是机密，我不能分享，所以这只是一小部分摘录.我需要绘制一个图，其中年份在 x 轴上，发病率在 y 轴上，但是，我需要为每个国家/地区绘制单独的图.不幸的是，分面不是一种选择，我需要将每个图保存为一个单独的文件.

It's confidential and I can't share it so this is just a small excrept. I need to make a plot where Year is on x-axis and incidence on y-axis, however, I need to have separate plots for each country. Faceting is unfortunately not an option, I need to save each plot as a separate file.

我知道如何拆分数据帧，但是，我不知道如何在 map 函数内部使用 ggplot.这是我尝试使用的代码，但无法正常工作.

I know how I would split the dataframe, however, I don't know how to use ggplot inside of the map function. This is the code that I was trying with and is not working.

data %>%
  group_by(Country) %>%
  group_split() %>%
  map(ggplot, aes(x = Year, y = Incidence)+
        geom_line()+
        geom_point())

编写此代码的正确方法是什么?

What would be the proper way to write this code?

推荐答案

您可以使用:

library(tidyverse)

list_plot <- data %>%
               group_split(Country) %>%
               map(~ggplot(., aes(x = Year, y = Incidence) ) +
                       geom_line()+ geom_point())

您可以在 list_plot 中获得每个 Country 的图表列表，可以使用 list_plot[[1]], 访问list_plot[[2]] 等

You get list of plots in list_plot one for every Country which can be accessed using list_plot[[1]], list_plot[[2]] etc.

您是否考虑过在绘图中使用切面?

Have you considered using facets for your plots?

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