问题描述
我有一个带有一些文本的直方图，我正在尝试将其居中为相应的类型
I have a histogram with some text and I m trying to center it for the corresponding type
df = read.table(text = "
id year type amount
1 1991 HIIT 22
2 1991 inter 144
3 1991 VIIT 98
4 1992 HIIT 20
5 1992 inter 136
6 1992 VIIT 108
7 1993 HIIT 20
8 1993 inter 120
9 1993 VIIT 124
10 1994 HIIT 26
11 1994 inter 118
12 1994 VIIT 120
13 1995 HIIT 23
14 1995 inter 101
15 1995 VIIT 140
16 1996 HIIT 27
17 1996 inter 103
18 1996 VIIT 162
19 1997 HIIT 24
20 1997 inter 96
21 1997 VIIT 172
22 1998 HIIT 24
23 1998 inter 92
24 1998 VIIT 177
25 1999 HIIT 28
26 1999 inter 45
27 1999 VIIT 220
28 2000 HIIT 26
29 2000 inter 36
30 2000 VIIT 231", header = TRUE, sep = "")
library(dplyr);
library(ggplot2);
library(scales);
df %>%
mutate(type = factor(type, levels = c("inter", "VIIT", "HIIT"))) %>%
group_by(year) %>%
mutate(ratio = amount/sum(amount),
pos=cumsum(ratio)-ratio/2) %>%
ggplot(aes(x=factor(year), y=ratio, fill=type)) +
geom_bar(stat="identity") +
geom_text(aes(y = pos, label = percent(pos)), size = 4) +
scale_y_continuous(name="", labels = percent) +
coord_flip()
我的情节看起来像:
您能帮我解决此问题，因为我不知道如何使用位置参数对其进行修复
Can you help me to solve this problem because I have no idea how to fix it with the position parameter
谢谢
推荐答案
我不确定您要尝试执行的操作，但是假设您希望条形图每个彩色部分中间的文本
I'm not sure exactly what you're trying to do, but assume that you want the text in the middle of each colored segment of the bar to
- 在酒吧的中央；和
- 使用有意义的数字显示栏的大小
要解决第一个问题，需要先通过 type 对数据进行排序，然后再通过 cumsum 计算 pos 值.
To fix the first issue, you need to have the data sorted by type before you calculate the pos value via cumsum.
要解决第二个问题，您应该向标签美学显示 ratio ，而不是 pos ，该数字除了作为放置坐标的水平坐标外，没有其他意义.标签.
To fix the second, you should be showing ratio to the label aesthetic, not pos, which is not a meaningful number other than being the horizontal coordinate to place the label.
df %>%
mutate(type = factor(type, levels = c("inter", "VIIT", "HIIT"))) %>%
group_by(year) %>%
arrange(desc(type)) %>%
mutate(ratio = amount / sum(amount),
pos = cumsum(ratio) - ratio / 2) %>%
ggplot(aes(x = factor(year), y = ratio, fill = type)) +
geom_bar(stat = "identity") +
geom_text(aes(y = pos, label = percent(ratio)), size = 4) +
scale_y_continuous(name="", labels = percent) +
coord_flip()
顺便说一句，这不是直方图，而是堆积的填充条形图.直方图完全不同.
By the way, this isn't a histogram, it's a stacked filled bar chart. A histogram is something quite different.
正如评论中指出的那样，ggplot2的最新版本 position_stack 将为您计算位置，而不是在数据管道中创建 pos 变量.因此，下面的代码也许是整件事的更整洁的方式(给出了相同的结果):
As pointed out in the comments, the fairly recent addition to ggplot2, position_stack, will calculate the position for you rather than creating pos variable in your data pipeline. So the code below is perhaps a neater way of doing the whole thing (gives identical result):
df %>%
group_by(year) %>%
mutate(type = factor(type, levels = c("inter", "VIIT", "HIIT"))) %>%
mutate(ratio = amount / sum(amount)) %>%
ggplot(aes(x = factor(year), y = ratio, fill = type)) +
geom_bar(stat = "identity") +
geom_text(aes(label = percent(ratio)), position = position_stack(vjust = 0.5), size = 4) +
scale_y_continuous(name="", labels = percent) +
coord_flip()
这篇关于ggplot条形图中的中心文本层的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持！