R 如何使用ggplot()更改堆叠条形图中的分组

R 如何使用ggplot()更改堆叠条形图中的分组,r,R,我试图在一个分类变量上绘制一系列堆叠的酒吧聊天(客户满意度以1到5为尺度)。我想显示从1到5的组。但是,R按数据标签而不是数据值对堆叠条形图进行分组 有谁能告诉我我把图表弄错了什么地方吗。ggplot通过数据标签(字母而不是1到5)汇总满意度(从1到5)。我如何告诉R以从1到5(高度不满意到高度满意)的正确顺序绘制满意度 抱歉,因为我还是新手,我没有上传图片的特权。您可能需要运行代码才能查看图表 x8.p.m <-structure(list(Var.1 = structure(c(2L,

我试图在一个分类变量上绘制一系列堆叠的酒吧聊天(客户满意度以1到5为尺度)。我想显示从1到5的组。但是,R按数据标签而不是数据值对堆叠条形图进行分组

有谁能告诉我我把图表弄错了什么地方吗。ggplot通过数据标签(字母而不是1到5)汇总满意度(从1到5)。我如何告诉R以从1到5(高度不满意到高度满意)的正确顺序绘制满意度

抱歉,因为我还是新手,我没有上传图片的特权。您可能需要运行代码才能查看图表

x8.p.m <-structure(list(Var.1 = structure(c(2L, 4L, 5L, 3L, 1L, 2L, 4L, 
5L, 3L, 1L, 2L, 4L, 5L, 3L, 1L, 2L, 4L, 5L, 3L, 1L, 2L, 4L, 5L, 
3L, 1L, 2L, 4L, 5L, 3L, 1L, 2L, 4L, 5L, 3L, 1L, 2L, 4L, 5L, 3L, 
1L, 2L, 4L, 5L, 3L, 1L, 2L, 4L, 5L, 3L, 1L, 2L, 4L, 5L, 3L, 1L, 
2L, 4L, 5L, 3L, 1L, 2L, 4L, 5L, 3L, 1L, 2L, 4L, 5L, 3L, 1L, 2L, 
4L, 5L, 3L, 1L, 2L, 4L, 5L, 3L, 1L, 2L, 4L, 5L, 3L, 1L, 2L, 4L, 
5L, 3L, 1L, 2L, 4L, 5L, 3L, 1L, 2L, 4L, 5L, 3L, 1L, 2L, 4L, 5L, 
3L, 1L, 2L, 4L, 5L, 3L, 1L, 2L, 4L, 5L, 3L, 1L, 2L, 4L, 5L, 3L, 
1L, 2L, 4L, 5L, 3L, 1L, 2L, 4L, 5L, 3L, 1L, 2L, 4L, 5L, 3L, 1L, 
2L, 4L, 5L, 3L, 1L, 2L, 4L, 5L, 3L, 1L, 2L, 4L, 5L, 3L, 1L), .Label = c("Extremely Dis-Satistfied", 
"Highly Satisfied", "Moderately Dis-Satisfied", "Moderately Satisfied", 
"Satisfied"), class = "factor"), Var.2 = structure(c(1L, 1L, 
1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 
4L, 4L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 1L, 1L, 1L, 1L, 
1L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 
5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 1L, 1L, 1L, 1L, 1L, 2L, 
2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 
5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 
2L, 2L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 
5L, 6L, 6L, 6L, 6L, 6L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 
3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 6L, 
6L, 6L, 6L, 6L), .Label = c("I've changed for work/ a new job/ gone on a work plan", 
"I want a phone that 2degrees doesn't offer", "I want Best Mates/ Favourites", 
"I was offered or saw a better offer on another network", "Issues with the 2degrees network (poor coverage)", 
"Other"), class = "factor"), YearQuarter = structure(c(15218, 
15218, 15218, 15218, 15218, 15218, 15218, 15218, 15218, 15218, 
15218, 15218, 15218, 15218, 15218, 15218, 15218, 15218, 15218, 
15218, 15218, 15218, 15218, 15218, 15218, 15218, 15218, 15218, 
15218, 15218, 15309, 15309, 15309, 15309, 15309, 15309, 15309, 
15309, 15309, 15309, 15309, 15309, 15309, 15309, 15309, 15309, 
15309, 15309, 15309, 15309, 15309, 15309, 15309, 15309, 15309, 
15309, 15309, 15309, 15309, 15309, 15400, 15400, 15400, 15400, 
15400, 15400, 15400, 15400, 15400, 15400, 15400, 15400, 15400, 
15400, 15400, 15400, 15400, 15400, 15400, 15400, 15400, 15400, 
15400, 15400, 15400, 15400, 15400, 15400, 15400, 15400, 15492, 
15492, 15492, 15492, 15492, 15492, 15492, 15492, 15492, 15492, 
15492, 15492, 15492, 15492, 15492, 15492, 15492, 15492, 15492, 
15492, 15492, 15492, 15492, 15492, 15492, 15492, 15492, 15492, 
15492, 15492, 15584, 15584, 15584, 15584, 15584, 15584, 15584, 
15584, 15584, 15584, 15584, 15584, 15584, 15584, 15584, 15584, 
15584, 15584, 15584, 15584, 15584, 15584, 15584, 15584, 15584, 
15584, 15584, 15584, 15584, 15584), class = "Date"), value = c(70, 
20, 7, 2, 2, 54, 33, 8, 0, 4, 37, 29, 23, 11, 0, 46, 29, 18, 
4, 2, 16, 29, 26, 20, 10, 37, 20, 9, 13, 22, 66, 18, 14, 2, 0, 
65, 20, 12, 3, 0, 47, 29, 18, 4, 3, 48, 32, 16, 3, 1, 24, 25, 
19, 22, 10, 41, 14, 18, 9, 18, 66, 25, 6, 3, 0, 62, 23, 14, 1, 
0, 47, 30, 14, 8, 1, 46, 31, 16, 6, 1, 19, 27, 25, 22, 7, 34, 
15, 17, 13, 21, 68, 22, 7, 2, 1, 62, 21, 16, 1, 0, 45, 30, 18, 
5, 1, 43, 28, 22, 5, 2, 20, 23, 25, 23, 10, 36, 20, 12, 14, 19, 
60, 25, 13, 2, 0, 62, 23, 10, 6, 0, 41, 24, 26, 9, 0, 47, 31, 
16, 5, 1, 13, 29, 22, 24, 13, 28, 16, 20, 18, 18)), .Names = c("Var.1", 
"Var.2", "YearQuarter", "value"), row.names = c(NA, -150L), class = "data.frame")
> 

ggplot(data=x8.p.m, aes(x=YearQuarter, y=value, fill=Var.1)) + geom_bar(stat="identity",position="stack")+facet_wrap(~Var.2)
x8.p.m
ggplot(数据=x8.p.m,aes(x=YearQuarter,y=value,fill=Var.1))+geom_-bar(stat=“identity”,position=“stack”)+facet_-wrap(~Var.2)

首先查看您的因子水平:

levels(x8.p.m$Var.1)
然后查看以下博文:

PS正如你在文章中所读到的,这不是一个
ggplot2
问题