ggplot geom_bar，其中x =多列 [英] ggplot geom_bar where x = multiple columns

问题描述

如何制作条形图，其中X来自数据框的多个值?

How can I go about making a bar plot where the X comes from multiple values of a data frame?

假数据:

data <- data.frame(col1 = rep(c("A", "B", "C", "B", "C", "A", "A", "B", "B", "A", "C")),
                   col2 = rep(c(2012, 2012, 2012, 2013, 2013, 2014, 2014, 2014, 2015, 2015, 2015)), 
                   col3 = rep(c("Up", "Down", "Up", "Up", "Down", "Left", "Right", "Up", "Right", "Down", "Up")),
                   col4 = rep(c("Y", "N", "N", "N", "Y", "N", "Y", "Y", "Y", "N", "Y")))

我要做的是根据col1，col2，和col3.

What I'm trying to do is plot the number (also, ideally, the percentage) of Y's and N's in col4 based on grouped by col1, col2, and col3.

总体而言，如果有50行，而其中25行具有Y，则我应该能够制作一个如下所示的图形:

Overall, if there are 50 rows and 25 of the rows have Y's, I should be able to make a graph that looks like this:

我知道带有ggplot的基本条形图是:

I know a basic barplot with ggplot is:

ggplot(data, aes(x = col1, fil = col4)) + geom_bar()

我不是要查找col2在col3中每个col3有多少col4，所以我想facet_wrap()并不是问题，但我不知道该怎么做代替.

I'm not looking for how many of col4 is found per col3 by col2, though, so facet_wrap() isn't the trick, I think, but I don't know what to do instead.

推荐答案

您需要先将数据帧转换为长格式，然后使用创建的变量设置facet_wrap().

You need to first convert your data frame into a long format, and then use the created variable to set the facet_wrap().

data_long <- tidyr::gather(data, key = type_col, value = categories, -col4)

ggplot(data_long, aes(x = categories, fill = col4)) +
  geom_bar() + 
  facet_wrap(~ type_col, scales = "free_x")

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