R 中带有 networkD3 的桑基图 - 行号问题
Sankey Diagram in R with networkD3 - row number issues
我想重点关注上面突出显示的 flow，将蓝色 'Thermal generation' 块连接到粉红色 'Electricity grid' 块。您会注意到流量为 526 TWh，这是来自 Energy$links.
的第 62 行
Energy$links
source target value
...
62 26 15 525.531
...
现在让我们关注 source 和 target 值，它们引用 Energy$nodes 中的节点。
Energy$nodes
name
...
15 Heating and cooling - homes
16 Electricity grid
...
26 Gas reserves
27 Thermal generation
...
source 值实际上是指节点数据的“27”行时的“26”。当目标值实际引用节点数据的行“16”时，目标值为“15”。为什么链接数据中的源值和目标值实际上是指行 x - 1 而不是节点数据中的 x 行？除了在构建这些桑基图时在脑海中执行 x - 1 计算之外，还有其他解决方法吗？
这是完整的 Energy 数据：
> Energy
$`nodes`
name
1 Agricultural 'waste'
2 Bio-conversion
3 Liquid
4 Losses
5 Solid
6 Gas
7 Biofuel imports
8 Biomass imports
9 Coal imports
10 Coal
11 Coal reserves
12 District heating
13 Industry
14 Heating and cooling - commercial
15 Heating and cooling - homes
16 Electricity grid
17 Over generation / exports
18 H2 conversion
19 Road transport
20 Agriculture
21 Rail transport
22 Lighting & appliances - commercial
23 Lighting & appliances - homes
24 Gas imports
25 Ngas
26 Gas reserves
27 Thermal generation
28 Geothermal
29 H2
30 Hydro
31 International shipping
32 Domestic aviation
33 International aviation
34 National navigation
35 Marine algae
36 Nuclear
37 Oil imports
38 Oil
39 Oil reserves
40 Other waste
41 Pumped heat
42 Solar PV
43 Solar Thermal
44 Solar
45 Tidal
46 UK land based bioenergy
47 Wave
48 Wind
$links
source target value
1 0 1 124.729
2 1 2 0.597
3 1 3 26.862
4 1 4 280.322
5 1 5 81.144
6 6 2 35.000
7 7 4 35.000
8 8 9 11.606
9 10 9 63.965
10 9 4 75.571
11 11 12 10.639
12 11 13 22.505
13 11 14 46.184
14 15 16 104.453
15 15 14 113.726
16 15 17 27.140
17 15 12 342.165
18 15 18 37.797
19 15 19 4.412
20 15 13 40.858
21 15 3 56.691
22 15 20 7.863
23 15 21 90.008
24 15 22 93.494
25 23 24 40.719
26 25 24 82.233
27 5 13 0.129
28 5 3 1.401
29 5 26 151.891
30 5 19 2.096
31 5 12 48.580
32 27 15 7.013
33 17 28 20.897
34 17 3 6.242
35 28 18 20.897
36 29 15 6.995
37 2 12 121.066
38 2 30 128.690
39 2 18 135.835
40 2 31 14.458
41 2 32 206.267
42 2 19 3.640
43 2 33 33.218
44 2 20 4.413
45 34 1 4.375
46 24 5 122.952
47 35 26 839.978
48 36 37 504.287
49 38 37 107.703
50 37 2 611.990
51 39 4 56.587
52 39 1 77.810
53 40 14 193.026
54 40 13 70.672
55 41 15 59.901
56 42 14 19.263
57 43 42 19.263
58 43 41 59.901
59 4 19 0.882
60 4 26 400.120
61 4 12 46.477
62 26 15 525.531 # the highlighted 'flow'
63 26 3 787.129
64 26 11 79.329
65 44 15 9.452
66 45 1 182.010
67 46 15 19.013
68 47 15 289.366
原因是最终数据被发送到 JavaScript/D3，它使用基于 0 的索引...这意味着 vector/array/etc 的第一个元素的索引。是 0... 与 R 不同，其中向量的第一个元素的索引是 1.
作为轻松转换 R 风格数据的示例...
source <- c("A", "A", "B", "C", "D", "D", "E", "E")
target <- c("D", "E", "E", "D", "H", "I", "I", "H")
nodes <- data.frame(name = unique(c(source, target)))
links <- data.frame(source = match(source, nodes$name) - 1,
target = match(target, nodes$name) - 1,
value = 1)
library(networkD3)
sankeyNetwork(links, nodes, "source", "target", "value", "name")
我想重点关注上面突出显示的 flow，将蓝色 'Thermal generation' 块连接到粉红色 'Electricity grid' 块。您会注意到流量为 526 TWh，这是来自 Energy$links.
Energy$links
source target value
...
62 26 15 525.531
...
现在让我们关注 source 和 target 值，它们引用 Energy$nodes 中的节点。
Energy$nodes
name
...
15 Heating and cooling - homes
16 Electricity grid
...
26 Gas reserves
27 Thermal generation
...
source 值实际上是指节点数据的“27”行时的“26”。当目标值实际引用节点数据的行“16”时，目标值为“15”。为什么链接数据中的源值和目标值实际上是指行 x - 1 而不是节点数据中的 x 行？除了在构建这些桑基图时在脑海中执行 x - 1 计算之外，还有其他解决方法吗？
这是完整的 Energy 数据：
> Energy
$`nodes`
name
1 Agricultural 'waste'
2 Bio-conversion
3 Liquid
4 Losses
5 Solid
6 Gas
7 Biofuel imports
8 Biomass imports
9 Coal imports
10 Coal
11 Coal reserves
12 District heating
13 Industry
14 Heating and cooling - commercial
15 Heating and cooling - homes
16 Electricity grid
17 Over generation / exports
18 H2 conversion
19 Road transport
20 Agriculture
21 Rail transport
22 Lighting & appliances - commercial
23 Lighting & appliances - homes
24 Gas imports
25 Ngas
26 Gas reserves
27 Thermal generation
28 Geothermal
29 H2
30 Hydro
31 International shipping
32 Domestic aviation
33 International aviation
34 National navigation
35 Marine algae
36 Nuclear
37 Oil imports
38 Oil
39 Oil reserves
40 Other waste
41 Pumped heat
42 Solar PV
43 Solar Thermal
44 Solar
45 Tidal
46 UK land based bioenergy
47 Wave
48 Wind
$links
source target value
1 0 1 124.729
2 1 2 0.597
3 1 3 26.862
4 1 4 280.322
5 1 5 81.144
6 6 2 35.000
7 7 4 35.000
8 8 9 11.606
9 10 9 63.965
10 9 4 75.571
11 11 12 10.639
12 11 13 22.505
13 11 14 46.184
14 15 16 104.453
15 15 14 113.726
16 15 17 27.140
17 15 12 342.165
18 15 18 37.797
19 15 19 4.412
20 15 13 40.858
21 15 3 56.691
22 15 20 7.863
23 15 21 90.008
24 15 22 93.494
25 23 24 40.719
26 25 24 82.233
27 5 13 0.129
28 5 3 1.401
29 5 26 151.891
30 5 19 2.096
31 5 12 48.580
32 27 15 7.013
33 17 28 20.897
34 17 3 6.242
35 28 18 20.897
36 29 15 6.995
37 2 12 121.066
38 2 30 128.690
39 2 18 135.835
40 2 31 14.458
41 2 32 206.267
42 2 19 3.640
43 2 33 33.218
44 2 20 4.413
45 34 1 4.375
46 24 5 122.952
47 35 26 839.978
48 36 37 504.287
49 38 37 107.703
50 37 2 611.990
51 39 4 56.587
52 39 1 77.810
53 40 14 193.026
54 40 13 70.672
55 41 15 59.901
56 42 14 19.263
57 43 42 19.263
58 43 41 59.901
59 4 19 0.882
60 4 26 400.120
61 4 12 46.477
62 26 15 525.531 # the highlighted 'flow'
63 26 3 787.129
64 26 11 79.329
65 44 15 9.452
66 45 1 182.010
67 46 15 19.013
68 47 15 289.366
原因是最终数据被发送到 JavaScript/D3，它使用基于 0 的索引...这意味着 vector/array/etc 的第一个元素的索引。是 0... 与 R 不同，其中向量的第一个元素的索引是 1.
作为轻松转换 R 风格数据的示例...
source <- c("A", "A", "B", "C", "D", "D", "E", "E")
target <- c("D", "E", "E", "D", "H", "I", "I", "H")
nodes <- data.frame(name = unique(c(source, target)))
links <- data.frame(source = match(source, nodes$name) - 1,
target = match(target, nodes$name) - 1,
value = 1)
library(networkD3)
sankeyNetwork(links, nodes, "source", "target", "value", "name")