填充ggplot2的堆疊條形圖

Question

我已經閱讀了ggplot2 docs網站和其他問題，但找不到解決方案。 我正在嘗試可視化不同年齡段的一些數據。 我已經設法做到了，但是看起來並不像我想要的那樣。

這是我的情節的代碼

p <- ggplot(suggestion, aes(interaction(Age,variable), value, color = Age, fill = factor(variable), group = Age))
p + geom_bar(stat = "identity")+
  facet_grid(.~Age)![The facetting separates the age variables][1]

我的最終目標是創建一個堆棧條形圖，這就是我使用填充的原因，但是它沒有將TDX值放入其相應的年齡組和年份。 （有時TDX值== DX值，但是我想在它們不可見時可視化）

這是dput(suggestion)

    structure(list(Age = structure(c(1L, 2L, 3L, 4L, 5L, 6L, 7L, 
1L, 2L, 3L, 4L, 5L, 6L, 7L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 1L, 2L, 
3L, 4L, 5L, 6L, 7L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 1L, 2L, 3L, 4L, 
5L, 6L, 7L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 1L, 2L, 3L, 4L, 5L, 6L, 
7L), .Label = c("0-2", "3-9", "10-19", "20-39", "40-59", "60-64", 
"65+", "UNSP", "(all)"), class = "factor"), variable = structure(c(1L, 
1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 
3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 
5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 
8L, 8L, 8L, 8L, 8L, 8L, 8L), .Label = c("Year.10.DX", "Year.11.DX", 
"Year.12.DX", "Year.13.DX", "Year.10.TDX", "Year.11.TDX", "Year.12.TDX", 
"Year.13.TDX"), class = "factor"), value = c(26.8648932910636, 
30.487741796656, 31.9938838749782, 62.8189679326958, 72.8480838120064, 
69.3044125928752, 36.9789457527416, 21.808001825378, 24.1073451428435, 
40.3305134762935, 70.4486116545885, 68.8342676191755, 63.9227718107745, 
34.6086468618636, 8.84033719571875, 13.2807072303835, 28.4781516422802, 
55.139497471546, 59.7230544500003, 67.9448927372699, 37.7293286937066, 
6.9507024051526, 17.4393054963572, 33.1485743479821, 61.198647580693, 
58.6845873573852, 48.0073013177248, 28.4455801248562, 26.8648932910636, 
19.8044453272475, 23.0189084635948, 53.7037832071889, 60.6516550126422, 
58.1573725886767, 27.0791868812255, 21.808001825378, 19.8146296425633, 
35.0587750051557, 62.3308555053346, 59.3299998610862, 56.5341245769817, 
27.7229319271878, 8.84033719571875, 13.2807072303835, 22.4081606349585, 
48.0252683906252, 52.7560684009579, 65.2890977685045, 32.4142337849399, 
6.9507024051526, 15.2833655677215, 24.5268503180754, 52.536784326675, 
51.4100599515986, 40.9609231655724, 18.1306673637441)), row.names = c(NA, 
-56L), .Names = c("Age", "variable", "value"), class = "data.frame")

Answer 1

目前尚不清楚您需要什么，但也許是這樣。

ggplot(a,aes(x=variable,y=value,fill=Age)) + geom_bar(stat='identity')     
+facet_wrap(~Age)

如果要單獨顯示TDX和DX條目，則需要稍微更改數據框。

> head(a)
Age   variable    value
1   0-2 Year.10.DX 26.86489
2   3-9 Year.10.DX 30.48774
3 10-19 Year.10.DX 31.99388
4 20-39 Year.10.DX 62.81897
5 40-59 Year.10.DX 72.84808
6 60-64 Year.10.DX 69.30441

感興趣的列variable是年份和TDX / DX值的組合。 我們將使用tidyr軟件包將其分為兩列。

library(tidyr)
library(dplyr)
tidy_a<- a %>% separate(variable, into = c( 'nothing',"year",'label'), sep = "\\.")

實際上，由於我們在上進行了拆分，因此實際上將列variable的levels分為三個部分. 和角色. 在每個條目中出現兩次。

> head(tidy_a)
Age nothing year label    value
1   0-2    Year   10    DX 26.86489
2   3-9    Year   10    DX 30.48774
3 10-19    Year   10    DX 31.99388
4 20-39    Year   10    DX 62.81897
5 40-59    Year   10    DX 72.84808
6 60-64    Year   10    DX 69.30441

因此，該列中nothing是毫無用處的，而只是使用separate和split on的必要結果. 。 現在，這將使我們能夠分別可視化TDX / DX。

ggplot(tidy_a,aes(x=year,y=value,fill=label)) + geom_bar(stat='identity') + facet_wrap(~Age)