[英]How to add individual proportions to a stacked bar graph using ggplot2?
[英]How can I make a stacked bar graph from a set of wide data using ggplot2?
我有以下數據集:
Date Treatment Precipitation Irrigation ET Leaching
1 5/1/2018 100% 1.4732 0.000 0.0000 1.4732
2 5/1/2018 125% 1.4732 0.000 0.0000 1.4732
3 5/1/2018 75% 1.4732 0.000 0.0000 1.4732
4 5/1/2018 50% 1.4732 0.000 0.0000 1.4732
5 5/2/2018 100% 0.0000 0.000 0.0000 0.0000
6 5/2/2018 125% 0.0000 0.000 0.0000 0.0000
7 5/2/2018 75% 0.0000 0.000 0.0000 0.0000
8 5/2/2018 50% 0.0000 0.000 0.0000 0.0000
9 5/3/2018 100% 1.5240 0.000 0.0000 1.5240
10 5/3/2018 125% 1.5240 0.000 0.0000 1.5240
11 5/3/2018 75% 1.5240 0.000 0.0000 1.5240
12 5/3/2018 50% 1.5240 0.000 0.0000 1.5240
13 5/4/2018 100% 2.3368 0.000 0.0000 2.3368
14 5/4/2018 125% 2.3368 0.000 0.0000 2.3368
15 5/4/2018 75% 2.3368 0.000 0.0000 2.3368
16 5/4/2018 50% 2.3368 0.000 0.0000 2.3368
17 5/5/2018 100% 0.0000 0.000 0.0000 0.0000
18 5/5/2018 125% 0.0000 0.000 0.0000 0.0000
19 5/5/2018 75% 0.0000 0.000 0.0000 0.0000
20 5/5/2018 50% 0.0000 0.000 0.0000 0.0000
21 5/6/2018 100% 0.7620 0.000 0.0000 0.7620
22 5/6/2018 125% 0.7620 0.000 0.0000 0.7620
23 5/6/2018 75% 0.7620 0.000 0.0000 0.7620
24 5/6/2018 50% 0.7620 0.000 0.0000 0.7620
25 5/7/2018 100% 0.0000 0.000 0.0000 0.0000
26 5/7/2018 125% 0.0000 0.000 0.0000 0.0000
27 5/7/2018 75% 0.0000 0.000 0.0000 0.0000
28 5/7/2018 50% 0.0000 0.000 0.0000 0.0000
29 5/8/2018 100% 0.0000 0.000 0.0000 0.0000
30 5/8/2018 125% 0.0000 0.000 0.0000 0.0000
31 5/8/2018 75% 0.0000 0.000 0.0000 0.0000
32 5/8/2018 50% 0.0000 0.000 0.0000 0.0000
33 5/9/2018 100% 3.3020 0.000 0.0000 3.3020
34 5/9/2018 125% 3.3020 0.000 0.0000 3.3020
35 5/9/2018 75% 3.3020 0.000 0.0000 3.3020
36 5/9/2018 50% 3.3020 0.000 0.0000 3.3020
37 5/10/2018 100% 0.0000 0.000 0.0000 0.0000
38 5/10/2018 125% 0.0000 0.000 0.0000 0.0000
39 5/10/2018 75% 0.0000 0.000 0.0000 0.0000
40 5/10/2018 50% 0.0000 0.000 0.0000 0.0000
41 5/11/2018 100% 0.9906 0.000 0.0000 0.9906
42 5/11/2018 125% 0.9906 0.000 0.0000 0.9906
43 5/11/2018 75% 0.9906 0.000 0.0000 0.9906
44 5/11/2018 50% 0.9906 0.000 0.0000 0.9906
45 5/12/2018 100% 0.0000 0.000 0.0000 0.0000
46 5/12/2018 125% 0.0000 0.000 0.0000 0.0000
47 5/12/2018 75% 0.0000 0.000 0.0000 0.0000
48 5/12/2018 50% 0.0000 0.000 0.0000 0.0000
49 5/13/2018 100% 0.0000 0.000 0.0000 0.0000
50 5/13/2018 125% 0.0000 0.000 0.0000 0.0000
51 5/13/2018 75% 0.0000 0.000 0.0000 0.0000
52 5/13/2018 50% 0.0000 0.000 0.0000 0.0000
53 5/14/2018 100% 0.3048 0.000 0.0000 0.3048
54 5/14/2018 125% 0.3048 0.000 0.0000 0.3048
55 5/14/2018 75% 0.3048 0.000 0.0000 0.3048
56 5/14/2018 50% 0.3048 0.000 0.0000 0.3048
57 5/15/2018 100% 0.0000 0.000 0.0000 0.0000
58 5/15/2018 125% 0.0000 0.000 0.0000 0.0000
59 5/15/2018 75% 0.0000 0.000 0.0000 0.0000
60 5/15/2018 50% 0.0000 0.000 0.0000 0.0000
61 5/16/2018 100% 0.0000 0.000 0.0000 0.0000
62 5/16/2018 125% 0.0000 0.000 0.0000 0.0000
63 5/16/2018 75% 0.0000 0.000 0.0000 0.0000
64 5/16/2018 50% 0.0000 0.000 0.0000 0.0000
65 5/17/2018 100% 0.0000 0.762 0.0000 0.7620
66 5/17/2018 125% 0.0000 0.762 0.0000 0.7620
67 5/17/2018 75% 0.0000 0.762 0.0000 0.7620
68 5/17/2018 50% 0.0000 0.762 0.0000 0.7620
69 5/18/2018 100% 0.0000 0.000 0.0000 0.0000
70 5/18/2018 125% 0.0000 0.000 0.0000 0.0000
71 5/18/2018 75% 0.0000 0.000 0.0000 0.0000
72 5/18/2018 50% 0.0000 0.000 0.0000 0.0000
73 5/19/2018 100% 0.0000 0.000 0.0000 0.0000
74 5/19/2018 125% 0.0000 0.000 0.0000 0.0000
75 5/19/2018 75% 0.0000 0.000 0.0000 0.0000
76 5/19/2018 50% 0.0000 0.000 0.0000 0.0000
77 5/20/2018 100% 0.0000 0.762 0.3048 0.4572
78 5/20/2018 125% 0.0000 0.762 0.3048 0.4572
79 5/20/2018 75% 0.0000 0.762 0.3048 0.4572
80 5/20/2018 50% 0.0000 0.762 0.3048 0.4572
81 5/21/2018 100% 0.0000 0.000 0.1016 0.0000
82 5/21/2018 125% 0.0000 0.000 0.1016 0.0000
83 5/21/2018 75% 0.0000 0.000 0.1016 0.0000
84 5/21/2018 50% 0.0000 0.000 0.1016 0.0000
85 5/22/2018 100% 0.0000 0.000 0.2794 0.0000
86 5/22/2018 125% 0.0000 0.000 0.2794 0.0000
87 5/22/2018 75% 0.0000 0.000 0.2794 0.0000
88 5/22/2018 50% 0.0000 0.000 0.2794 0.0000
89 5/23/2018 100% 0.0000 0.000 0.3810 0.0000
90 5/23/2018 125% 0.0000 0.000 0.3810 0.0000
91 5/23/2018 75% 0.0000 0.000 0.3810 0.0000
92 5/23/2018 50% 0.0000 0.000 0.3810 0.0000
93 5/24/2018 100% 0.0000 0.000 0.3080 0.0000
94 5/24/2018 125% 0.0000 0.000 0.3080 0.0000
95 5/24/2018 75% 0.0000 0.000 0.3080 0.0000
96 5/24/2018 50% 0.0000 0.000 0.3080 0.0000
97 5/25/2018 100% 0.0000 1.016 0.3572 0.0000
98 5/25/2018 125% 0.0000 1.016 0.3572 0.0000
99 5/25/2018 75% 0.0000 1.016 0.3572 0.0000
100 5/25/2018 50% 0.0000 1.016 0.3572 0.0000
101 5/26/2018 100% 0.0000 0.000 0.4588 0.0000
102 5/26/2018 125% 0.0000 0.000 0.4588 0.0000
103 5/26/2018 75% 0.0000 0.000 0.4588 0.0000
104 5/26/2018 50% 0.0000 0.000 0.4588 0.0000
105 5/27/2018 100% 0.0000 1.016 0.5842 0.0000
106 5/27/2018 125% 0.0000 1.016 0.5842 0.0000
107 5/27/2018 75% 0.0000 1.016 0.5842 0.0000
108 5/27/2018 50% 0.0000 1.016 0.5842 0.0000
109 5/28/2018 100% 0.0000 0.000 0.4064 0.0000
110 5/28/2018 125% 0.0000 0.000 0.4064 0.0000
111 5/28/2018 75% 0.0000 0.000 0.4064 0.0000
112 5/28/2018 50% 0.0000 0.000 0.4064 0.0000
113 5/29/2018 100% 0.0000 0.635 0.5334 0.0000
114 5/29/2018 125% 0.0000 0.635 0.5334 0.0000
115 5/29/2018 75% 0.0000 0.635 0.5334 0.0000
116 5/29/2018 50% 0.0000 0.635 0.5334 0.0000
117 5/30/2018 100% 0.0000 0.000 0.1270 0.0000
118 5/30/2018 125% 0.0000 0.000 0.1270 0.0000
119 5/30/2018 75% 0.0000 0.000 0.1270 0.0000
120 5/30/2018 50% 0.0000 0.000 0.1270 0.0000
121 5/31/2018 100% 0.0000 0.000 0.4064 0.0000
122 5/31/2018 125% 0.0000 0.000 0.4064 0.0000
123 5/31/2018 75% 0.0000 0.000 0.4064 0.0000
124 5/31/2018 50% 0.0000 0.000 0.4064 0.0000
125 6/1/2018 100% 0.0000 0.000 0.3810 0.0000
126 6/1/2018 125% 0.0000 0.000 0.3810 0.0000
127 6/1/2018 75% 0.0000 0.000 0.3810 0.0000
128 6/1/2018 50% 0.0000 0.000 0.3810 0.0000
129 6/2/2018 100% 0.7366 0.000 0.1270 0.0000
130 6/2/2018 125% 0.7366 0.000 0.1270 0.0000
131 6/2/2018 75% 0.7366 0.000 0.1270 0.0000
132 6/2/2018 50% 0.7366 0.000 0.1270 0.0000
133 6/3/2018 100% 0.0762 0.000 0.2032 0.0000
134 6/3/2018 125% 0.0762 0.000 0.2032 0.0000
135 6/3/2018 75% 0.0762 0.000 0.2032 0.0000
136 6/3/2018 50% 0.0762 0.000 0.2032 0.0000
137 6/4/2018 100% 0.0000 0.000 0.4572 0.0000
138 6/4/2018 125% 0.0000 0.000 0.4572 0.0000
139 6/4/2018 75% 0.0000 0.000 0.4572 0.0000
140 6/4/2018 50% 0.0000 0.000 0.4572 0.0000
141 6/5/2018 100% 0.7112 0.000 0.4572 0.0000
142 6/5/2018 125% 0.7112 0.000 0.4572 0.0000
143 6/5/2018 75% 0.7112 0.000 0.4572 0.0000
144 6/5/2018 50% 0.7112 0.000 0.4572 0.0000
145 6/6/2018 100% 0.0000 0.762 0.2794 0.0000
146 6/6/2018 125% 0.0000 0.762 0.2794 0.0000
147 6/6/2018 75% 0.0000 0.762 0.2794 0.0000
148 6/6/2018 50% 0.0000 0.762 0.2794 0.0000
149 6/7/2018 100% 0.2032 0.000 0.5080 0.0000
150 6/7/2018 125% 0.2032 0.000 0.5080 0.0000
151 6/7/2018 75% 0.2032 0.000 0.5080 0.0000
152 6/7/2018 50% 0.2032 0.000 0.5080 0.0000
153 6/8/2018 100% 0.1270 1.016 0.2286 0.0000
154 6/8/2018 125% 0.1270 1.016 0.2286 0.0000
155 6/8/2018 75% 0.1270 1.016 0.2286 0.0000
156 6/8/2018 50% 0.1270 1.016 0.2286 0.0000
157 6/9/2018 100% 0.0000 0.000 0.4064 0.0000
158 6/9/2018 125% 0.0000 0.000 0.4064 0.0000
159 6/9/2018 75% 0.0000 0.000 0.4064 0.0000
160 6/9/2018 50% 0.0000 0.000 0.4064 0.0000
161 6/10/2018 100% 0.0000 0.000 0.2286 0.0000
162 6/10/2018 125% 0.0000 0.000 0.2286 0.0000
163 6/10/2018 75% 0.0000 0.000 0.2286 0.0000
164 6/10/2018 50% 0.0000 0.000 0.2286 0.0000
165 6/11/2018 100% 0.0000 1.016 0.4572 0.0000
166 6/11/2018 125% 0.0000 1.016 0.4572 0.0000
我想使用 gpplot2 制作堆疊條形圖。 理想情況下,我似乎可以使用以下代碼實現它:
ggplot(data, aes(fill="response source"", y=response, x=date)) +
geom_bar(position="fill", stat="identity")
但是,我目前的格式不能這樣工作。 我需要一個單一的響應值列和一個“響應源”列,說明該值是來自降水、灌溉、ET 還是浸出。
是否有另一種方法可以對我的 ggplot 進行編碼以使用當前格式的數據? 我認為沒有一種有效的方法可以將我當前的數據格式轉換為理想格式。
提前感謝您的幫助,如果我在帖子中犯了錯誤並需要更改任何內容,請告訴我,因為我對 Stack Overflow 相當缺乏經驗。
我們可以用pivot_longer
重塑成“長”格式
library(dplyr)
library(tidyr)
library(lubridate)
library(ggplot2)
df1 %>%
mutate(Date = mdy(Date)) %>%
pivot_longer(cols = Precipitation:Leaching,
names_to = "response_source", values_to = "response") %>%
ggplot(aes(fill= response_source, y=response, x=Date)) +
geom_bar(position="fill", stat="identity")
df1 <- structure(list(Date = c("5/1/2018", "5/1/2018", "5/1/2018", "5/1/2018",
"5/2/2018", "5/2/2018", "5/2/2018", "5/2/2018", "5/3/2018", "5/3/2018",
"5/3/2018", "5/3/2018", "5/4/2018", "5/4/2018", "5/4/2018", "5/4/2018",
"5/5/2018", "5/5/2018", "5/5/2018", "5/5/2018", "5/6/2018", "5/6/2018",
"5/6/2018", "5/6/2018", "5/7/2018", "5/7/2018", "5/7/2018", "5/7/2018",
"5/8/2018", "5/8/2018", "5/8/2018", "5/8/2018", "5/9/2018", "5/9/2018",
"5/9/2018", "5/9/2018", "5/10/2018", "5/10/2018", "5/10/2018",
"5/10/2018", "5/11/2018", "5/11/2018", "5/11/2018", "5/11/2018",
"5/12/2018", "5/12/2018", "5/12/2018", "5/12/2018", "5/13/2018",
"5/13/2018", "5/13/2018", "5/13/2018", "5/14/2018", "5/14/2018",
"5/14/2018", "5/14/2018", "5/15/2018", "5/15/2018", "5/15/2018",
"5/15/2018", "5/16/2018", "5/16/2018", "5/16/2018", "5/16/2018",
"5/17/2018", "5/17/2018", "5/17/2018", "5/17/2018", "5/18/2018",
"5/18/2018", "5/18/2018", "5/18/2018", "5/19/2018", "5/19/2018",
"5/19/2018", "5/19/2018", "5/20/2018", "5/20/2018", "5/20/2018",
"5/20/2018", "5/21/2018", "5/21/2018", "5/21/2018", "5/21/2018",
"5/22/2018", "5/22/2018", "5/22/2018", "5/22/2018", "5/23/2018",
"5/23/2018", "5/23/2018", "5/23/2018", "5/24/2018", "5/24/2018",
"5/24/2018", "5/24/2018", "5/25/2018", "5/25/2018", "5/25/2018",
"5/25/2018", "5/26/2018", "5/26/2018", "5/26/2018", "5/26/2018",
"5/27/2018", "5/27/2018", "5/27/2018", "5/27/2018", "5/28/2018",
"5/28/2018", "5/28/2018", "5/28/2018", "5/29/2018", "5/29/2018",
"5/29/2018", "5/29/2018", "5/30/2018", "5/30/2018", "5/30/2018",
"5/30/2018", "5/31/2018", "5/31/2018", "5/31/2018", "5/31/2018",
"6/1/2018", "6/1/2018", "6/1/2018", "6/1/2018", "6/2/2018", "6/2/2018",
"6/2/2018", "6/2/2018", "6/3/2018", "6/3/2018", "6/3/2018", "6/3/2018",
"6/4/2018", "6/4/2018", "6/4/2018", "6/4/2018", "6/5/2018", "6/5/2018",
"6/5/2018", "6/5/2018", "6/6/2018", "6/6/2018", "6/6/2018", "6/6/2018",
"6/7/2018", "6/7/2018", "6/7/2018", "6/7/2018", "6/8/2018", "6/8/2018",
"6/8/2018", "6/8/2018", "6/9/2018", "6/9/2018", "6/9/2018", "6/9/2018",
"6/10/2018", "6/10/2018", "6/10/2018", "6/10/2018", "6/11/2018"
), Treatment = c("100%", "125%", "75%", "50%", "100%", "125%",
"75%", "50%", "100%", "125%", "75%", "50%", "100%", "125%", "75%",
"50%", "100%", "125%", "75%", "50%", "100%", "125%", "75%", "50%",
"100%", "125%", "75%", "50%", "100%", "125%", "75%", "50%", "100%",
"125%", "75%", "50%", "100%", "125%", "75%", "50%", "100%", "125%",
"75%", "50%", "100%", "125%", "75%", "50%", "100%", "125%", "75%",
"50%", "100%", "125%", "75%", "50%", "100%", "125%", "75%", "50%",
"100%", "125%", "75%", "50%", "100%", "125%", "75%", "50%", "100%",
"125%", "75%", "50%", "100%", "125%", "75%", "50%", "100%", "125%",
"75%", "50%", "100%", "125%", "75%", "50%", "100%", "125%", "75%",
"50%", "100%", "125%", "75%", "50%", "100%", "125%", "75%", "50%",
"100%", "125%", "75%", "50%", "100%", "125%", "75%", "50%", "100%",
"125%", "75%", "50%", "100%", "125%", "75%", "50%", "100%", "125%",
"75%", "50%", "100%", "125%", "75%", "50%", "100%", "125%", "75%",
"50%", "100%", "125%", "75%", "50%", "100%", "125%", "75%", "50%",
"100%", "125%", "75%", "50%", "100%", "125%", "75%", "50%", "100%",
"125%", "75%", "50%", "100%", "125%", "75%", "50%", "100%", "125%",
"75%", "50%", "100%", "125%", "75%", "50%", "100%", "125%", "75%",
"50%", "100%", "125%", "75%", "50%", "100%"), Precipitation = c(1.4732,
1.4732, 1.4732, 1.4732, 0, 0, 0, 0, 1.524, 1.524, 1.524, 1.524,
2.3368, 2.3368, 2.3368, 2.3368, 0, 0, 0, 0, 0.762, 0.762, 0.762,
0.762, 0, 0, 0, 0, 0, 0, 0, 0, 3.302, 3.302, 3.302, 3.302, 0,
0, 0, 0, 0.9906, 0.9906, 0.9906, 0.9906, 0, 0, 0, 0, 0, 0, 0,
0, 0.3048, 0.3048, 0.3048, 0.3048, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0.7366, 0.7366, 0.7366, 0.7366, 0.0762, 0.0762, 0.0762, 0.0762,
0, 0, 0, 0, 0.7112, 0.7112, 0.7112, 0.7112, 0, 0, 0, 0, 0.2032,
0.2032, 0.2032, 0.2032, 0.127, 0.127, 0.127, 0.127, 0, 0, 0,
0, 0, 0, 0, 0, 0), Irrigation = c(0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.762, 0.762, 0.762, 0.762,
0, 0, 0, 0, 0, 0, 0, 0, 0.762, 0.762, 0.762, 0.762, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.016, 1.016, 1.016, 1.016,
0, 0, 0, 0, 1.016, 1.016, 1.016, 1.016, 0, 0, 0, 0, 0.635, 0.635,
0.635, 0.635, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.762, 0.762, 0.762, 0.762,
0, 0, 0, 0, 1.016, 1.016, 1.016, 1.016, 0, 0, 0, 0, 0, 0, 0,
0, 1.016), ET = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.3048,
0.3048, 0.3048, 0.3048, 0.1016, 0.1016, 0.1016, 0.1016, 0.2794,
0.2794, 0.2794, 0.2794, 0.381, 0.381, 0.381, 0.381, 0.308, 0.308,
0.308, 0.308, 0.3572, 0.3572, 0.3572, 0.3572, 0.4588, 0.4588,
0.4588, 0.4588, 0.5842, 0.5842, 0.5842, 0.5842, 0.4064, 0.4064,
0.4064, 0.4064, 0.5334, 0.5334, 0.5334, 0.5334, 0.127, 0.127,
0.127, 0.127, 0.4064, 0.4064, 0.4064, 0.4064, 0.381, 0.381, 0.381,
0.381, 0.127, 0.127, 0.127, 0.127, 0.2032, 0.2032, 0.2032, 0.2032,
0.4572, 0.4572, 0.4572, 0.4572, 0.4572, 0.4572, 0.4572, 0.4572,
0.2794, 0.2794, 0.2794, 0.2794, 0.508, 0.508, 0.508, 0.508, 0.2286,
0.2286, 0.2286, 0.2286, 0.4064, 0.4064, 0.4064, 0.4064, 0.2286,
0.2286, 0.2286, 0.2286, 0.4572), Leaching = c(1.4732, 1.4732,
1.4732, 1.4732, 0, 0, 0, 0, 1.524, 1.524, 1.524, 1.524, 2.3368,
2.3368, 2.3368, 2.3368, 0, 0, 0, 0, 0.762, 0.762, 0.762, 0.762,
0, 0, 0, 0, 0, 0, 0, 0, 3.302, 3.302, 3.302, 3.302, 0, 0, 0,
0, 0.9906, 0.9906, 0.9906, 0.9906, 0, 0, 0, 0, 0, 0, 0, 0, 0.3048,
0.3048, 0.3048, 0.3048, 0, 0, 0, 0, 0, 0, 0, 0, 0.762, 0.762,
0.762, 0.762, 0, 0, 0, 0, 0, 0, 0, 0, 0.4572, 0.4572, 0.4572,
0.4572, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
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