ggplot2 geom_bar position =“dodge”不闪避 [英] ggplot2 geom_bar position = "dodge" does not dodge
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问题描述
下面的数据框p3:
测试结果
1 1 26.87778
2 1 24.52598
3 1 24.02202
4 1 20.32632
5 1 22.00618
6 2 19.84013
7 2 19.68983
8 2 19.84013
9 2 19.23892
10 2 19.23892
11 3 34.36430
12 3 33.28196
13 3 33.82313
14 3 33.82313
15 3 32.47020
16 4 25.55169
17 4 26.90442
18 4 25.40138
19 4 24.19895
20 4 25.85230
21 4 25.70199
22 4 24.95047
23 5 18.64646
24 5 18.64646
25 5 17.80653
26 5 18.64646
27 5 18.31049
我正在尝试使用代码制作闪回结果的条形图:
ggplot(p3,aes(x = test,y = result))+ geom_bar(position =dodge,stat =identity)
但它根本不起作用。我不明白为什么它不起作用,因为我以前使用过相同的代码并且工作。
Dennis Murphy: p3 $ test < - factor(p3 $ test)
p3 $ fac < - factor (unlist(sapply(as.vector(table(p3 $ test)),seq_len)))
ggplot(p3,aes(x = test,y = result,fill = fac))+
geom_bar (position ='dodge',stat ='identity')
调整变量:
$ b $
ggplot(p3,aes(x = test,y = result,color = fac,fill = test))+
geom_bar position ='dodge',stat ='identity',linetype = 0)
除了颜色(轮廓)应该是相同的。但它足够接近。
I have the dataframe p3 below:
test result
1 1 26.87778
2 1 24.52598
3 1 24.02202
4 1 20.32632
5 1 22.00618
6 2 19.84013
7 2 19.68983
8 2 19.84013
9 2 19.23892
10 2 19.23892
11 3 34.36430
12 3 33.28196
13 3 33.82313
14 3 33.82313
15 3 32.47020
16 4 25.55169
17 4 26.90442
18 4 25.40138
19 4 24.19895
20 4 25.85230
21 4 25.70199
22 4 24.95047
23 5 18.64646
24 5 18.64646
25 5 17.80653
26 5 18.64646
27 5 18.31049
I am trying to make a barchart with dodged results using the code:
ggplot(p3, aes(x = test, y = result))+ geom_bar(position="dodge", stat="identity")
but it doesn't work at all. I don't understand why it is not working since I used the same code before and it worked.
解决方案
This was answered by Dennis Murphy:
p3$test <- factor(p3$test)
p3$fac <- factor(unlist(sapply(as.vector(table(p3$test)), seq_len)))
ggplot(p3, aes(x = test, y = result, fill = fac)) +
geom_bar(position = 'dodge', stat = 'identity')
Adjusting the variables:
ggplot(p3, aes(x = test, y = result, color = fac, fill = test)) +
geom_bar(position = 'dodge', stat = 'identity', linetype = 0)
I almost got what I wanted, except that the color (outline) should be the same. but it was close enough.
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