我是R的新手,对R不太好。我试图做堆栈图,最后得到了一个非常麻烦的代码,我相信可以使用RColorbrewer和ggplot2简化堆叠的条形图,从而简化了工作,但是我不确定该怎么做。 以下是我使用的数据,它们位于名为data2
的data.frame中
Nation glider radar AUV ROV USV corer towed_eq Seismic_eq Drill_rig Manned_sub Other clean
1 Belgium 0 0 1 1 1 3 0 0 0 0 0 6
2 Bulgaria 0 0 0 0 0 0 1 0 0 1 0 2
3 Croatia 0 2 1 2 0 0 0 0 0 0 0 5
4 Cyprus 3 0 0 0 0 0 0 0 0 0 0 3
5 Estonia 0 0 0 1 0 0 0 0 0 0 0 1
6 Finland 1 0 0 0 0 0 0 0 0 0 0 1
7 France 11 2 3 1 0 1 1 3 0 1 0 23
8 Germany 18 3 3 4 0 0 1 4 2 1 0 36
9 Greece 1 0 0 3 0 0 0 0 0 0 0 4
10 Ireland 0 0 0 2 0 0 0 0 0 0 0 2
11 Italy 10 8 3 2 4 0 0 1 0 0 0 28
12 Malta 0 2 0 0 0 0 0 0 0 0 0 2
13 Netherlands 0 2 0 0 0 0 0 0 0 0 0 2
14 Norway 17 3 1 3 0 1 3 1 0 0 1 30
15 Poland 0 0 0 1 0 0 0 0 0 0 0 1
16 Portugal 0 3 6 6 4 2 1 0 0 2 1 25
17 Romania 0 0 0 1 0 0 0 0 0 0 0 1
18 Slovenia 0 1 0 0 0 0 0 0 0 0 0 1
19 Spain 12 17 2 1 0 0 0 2 0 0 0 34
20 Sweden 0 2 1 3 0 0 0 0 0 0 0 6
21 Turkey 0 0 0 0 0 0 0 0 0 2 0 2
22 United Kingdom 0 0 13 4 1 11 4 2 1 0 4 40
23 Unknown 5 0 0 0 0 0 0 0 0 0 0 5
这是我使用的代码
fig <- plot_ly(data2, x = ~Nation, y = ~glider, type = 'bar', name = 'Glider')
fig <- fig %>% add_trace(y = ~radar, name = 'Radar', marker=list(color='rgb(26, 118, 255)'))
fig <- fig %>% add_trace(y = ~AUV, name = 'AUV',marker=list(color='rgb(255, 128, 0)'))
fig <- fig %>% add_trace(y = ~ROV, name = 'ROV',marker=list(color='rgb(204, 0, 0)'))
fig <- fig %>% add_trace(y = ~USV, name = 'USV',marker=list(color='rgb(51, 255, 153)'))
fig <- fig %>% add_trace(y = ~corer, name = 'Corer',marker=list(color='rgb(204, 0, 204)'))
fig <- fig %>% add_trace(y = ~towed_eq, name = 'Towed equipment',marker=list(color='rgb(255, 255, 51)'))
fig <- fig %>% add_trace(y = ~Seismic_eq, name = 'Seismic equipment',marker=list(color='rgb(255, 204, 229)'))
fig <- fig %>% add_trace(y = ~Drill_rig, name = 'Drill rig',marker=list(color='rgb(102, 255, 255)'))
fig <- fig %>% add_trace(y = ~Manned_sub, name = 'Manned submersible',marker=list(color='rgb(128, 255, 0)'))
fig <- fig %>% add_trace(y = ~Other, name = 'Other equipment',marker=list(color='rgb(153, 153, 0)'))
fig <- fig %>% layout(xaxis = list(title = "",tickfont = list(size = 14)), yaxis = list(title = 'Number of assets',tickfont = list(size = 14)), barmode = 'stack')
fig
是否有更简单的方法通过使用Rcolorbrewer而不是每种颜色进行编码?是否可以将堆叠的条形图分组为第1组(滑翔机,AUV,rov,usv),第2组(CORer,towed_ew,地震_eq,drill_rig)和第3组(雷达,manned_sub,其他)?stack_plot
答案 0 :(得分:0)
您可以通过融合数据来尝试这种方法:
library(dplyr)
library(plotly)
library(tidyr)
library(RColorBrewer)
#Data
data <- structure(list(Nation = c("Belgium", "Bulgaria", "Croatia", "Cyprus",
"Estonia", "Finland", "France", "Germany", "Greece", "Ireland",
"Italy", "Malta", "Netherlands", "Norway", "Poland", "Portugal",
"Romania", "Slovenia", "Spain", "Sweden", "Turkey", "United Kingdom",
"Unknown"), glider = c(0, 0, 0, 3, 0, 1, 11, 18, 1, 0, 10, 0,
0, 17, 0, 0, 0, 0, 12, 0, 0, 0, 5), radar = c(0, 0, 2, 0, 0,
0, 2, 3, 0, 0, 8, 2, 2, 3, 0, 3, 0, 1, 17, 2, 0, 0, 0), AUV = c(1,
0, 1, 0, 0, 0, 3, 3, 0, 0, 3, 0, 0, 1, 0, 6, 0, 0, 2, 1, 0, 13,
0), ROV = c(1, 0, 2, 0, 1, 0, 1, 4, 3, 2, 2, 0, 0, 3, 1, 6, 1,
0, 1, 3, 0, 4, 0), USV = c(1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0,
0, 0, 0, 4, 0, 0, 0, 0, 0, 1, 0), corer = c(3, 0, 0, 0, 0, 0,
1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 0, 0, 11, 0), towed_eq = c(0,
1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 3, 0, 1, 0, 0, 0, 0, 0, 4,
0), Seismic_eq = c(0, 0, 0, 0, 0, 0, 3, 4, 0, 0, 1, 0, 0, 1,
0, 0, 0, 0, 2, 0, 0, 2, 0), Drill_rig = c(0, 0, 0, 0, 0, 0, 0,
2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0), Manned_sub = c(0,
1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 0,
0), Other = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1,
0, 0, 0, 0, 0, 4, 0), clean = c(6, 2, 5, 3, 1, 1, 23, 36, 4,
2, 28, 2, 2, 30, 1, 25, 1, 1, 34, 6, 2, 40, 5)), row.names = c(NA,
-23L), class = "data.frame")
现在输入代码:
#First reshape
df2 <- pivot_longer(data,cols = -Nation)
#Plot
p <- plot_ly(df2, x = df2$Nation,
y = df2$value,
type = 'bar',
name = df2$name,
text = df2$value,
color = df2$name,
colors = brewer.pal(length(unique(df2$name)),
"Paired"))%>%
layout(barmode = 'stack',hoverlabel = list(bgcolor= 'white') ,bargap = 0.5) %>%
layout(xaxis = list(categoryorder = 'array',
categoryarray = df2$Nation), showlegend = T)
输出: