按组划分的真/假值计数条形图(斜线图) [英] Barchart of count of true/false values by group (dodged graphs)
问题描述
我对 R 和 ggplot 比较陌生.而且我不确定我想要的是否可行.
I am rather new in R and ggplot. And I am not sure if what I want is doable.
这是我的(部分)数据:
Here is (a portion of) my data:
> mdf
Batch A B C D E
1 G FALSE TRUE FALSE TRUE FALSE
2 G FALSE FALSE FALSE TRUE FALSE
3 G FALSE TRUE FALSE FALSE FALSE
4 G FALSE FALSE FALSE TRUE FALSE
5 G FALSE FALSE TRUE TRUE TRUE
6 G FALSE FALSE TRUE TRUE TRUE
7 G FALSE FALSE FALSE FALSE TRUE
8 G FALSE FALSE TRUE TRUE TRUE
9 G FALSE FALSE FALSE TRUE FALSE
10 G FALSE FALSE FALSE TRUE TRUE
11 G FALSE FALSE FALSE FALSE TRUE
12 G FALSE FALSE FALSE TRUE FALSE
13 G FALSE FALSE FALSE TRUE FALSE
14 G FALSE FALSE FALSE TRUE FALSE
15 G FALSE FALSE FALSE TRUE FALSE
16 G FALSE FALSE FALSE TRUE FALSE
17 G FALSE FALSE TRUE TRUE FALSE
18 G FALSE FALSE TRUE TRUE TRUE
19 A FALSE FALSE FALSE TRUE TRUE
20 A FALSE FALSE FALSE TRUE TRUE
其中 Batch 可以是 A、B、G、R、S 中的任何一个,其他列 (A-E) 都是布尔值/逻辑值.
where Batch can be any of A, B, G, R, S, and the other columns (A-E) are all boolean/logical values.
我能够创建一个图表来计算 B 列中的 TRUE 值,如下所示:
I was able to create a graph which counts the TRUE values in column B as follows:
使用:
ggplot(data = mdf, aes(x = Batch, y = as.numeric(B), fill = Batch))
+ stat_summary(fun.y = sum, geom = "bar")
同样,我可以轻松地为其他列(A、C、D、E)创建另外 4 个图表.
Similarly, I can easily create 4 more graphs for the other columns (A, C, D, E).
但是,是否可以将这 5 个图形合并"在一个图形中?换句话说,我想要一个图表,其中我将有 5 个组(如上图所示)用于 'Batch' 的 5 个值,并且在每个组中,我需要一个单独的条形图,其中包含 5 列中每一列的计数(AE).这可行吗?
But, is it possible to 'merge' these 5 graphs in a single graph? In other words, I would like a graph where I would have 5 groups (as in the above graph) for the 5 values of 'Batch', and in each group I would need a separate bar with the count of each of the 5 columns (A-E). Is this doable?
更新:这是我正在寻找的(使用@mtoto 的建议后创建的)
Update: Here is what I was looking for (created after using the suggestion from @mtoto)
推荐答案
是可以的,你只需要先对数据进行整形,然后你就可以使用 position = "dodge"
来绘制一个条形对于每个 key
.使用 tidyr
:
Yes it's possible, you just need to reshape your data first, then you can use position = "dodge"
to draw a bar for each key
. With tidyr
:
library(tidyr)
library(dplyr)
library(ggplot2)
mdf %>% gather(key, value, -Batch) %>%
ggplot(.,(aes(Batch, as.numeric(value), fill = key))) +
stat_summary(fun.y = sum, geom = "bar", position = "dodge")
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