×
首页编程语言正文

我有同样的问题，这里有解释 Bars in geom_bar have unwanted different widths when using facet_wrap 也就是说，在刻面时，我的条显示不同的宽度。我已经尝试了那里提出的解决方案，但似乎我做错了什么，因为那时我的酒吧重叠了。我不是高级 R 用户，所以任何解释将不胜感激。

我的代码:

# Data 
z <- rbind.data.frame(c(23.230077, 109.824940, 72.313763, 76.95888),  
                  c(29.154963, 113.716729, 94.689684, 64.29041), 
                  c(8.450325, 99.190459, 53.193431, 32.97232), 
                  c(15.719120, 126.947621, 39.767791, 56.8059), 
                  c(15.497960, 117.942545, 73.659386, 69.37012), 
                  c(13.522866, 9.939251, 5.906541, 27.69283)) 
colnames(z) <- c("Biomass", "Metals", "Other minerals", "Fossil fuels") 
rownames(z) <- c("Exiobase full", "Exiobase global", "Exiobase EU","ENVIMAT", "ENVIMAT corrected", "Direct Imports") 
library(ggplot2) 
library(reshape2) 
library(plyr) 
 
z1 <- melt(as.matrix(z)); z2 <- c(rep(c(rep("Exiobase", 3), rep("Envimat",2), "Direct"),4)) 
z3 <- cbind.data.frame(z1, z2) 
colnames(z3) <- c("Model", "Material", "Value", "Version") 
 
# Here from the solution posted 
N <- ddply(z3, .(Version), function(x) length(row.names(x))) 
N$Fac <- N$V1 / max(N$V1) 
z4 <-  merge(z3, N[,-2], by = c("Version")) 
 
# Plotting 
fig3 <- ggplot(data=z4, aes(x=Version, y=Value ,fill=Model))+ 
    geom_bar(aes(width = 1.5*Fac),stat="identity", position=position_dodge())+  scale_fill_brewer(palette="Set2")+ ylab("Million Tons")+ 
    geom_text(aes(label = sprintf("%.1f",round(Value, 1), size=10)), position=position_dodge(width=0.9), vjust=-0.25)+ 
    theme_bw()+theme(panel.grid.major.x = element_blank(), panel.grid.major.y = element_line(colour="grey", linetype = "dotted"),axis.title.x = element_blank(),legend.title=element_blank(), panel.background = element_rect(colour = "black"),legend.key=element_blank(),legend.text = element_text(colour="black"), strip.background = element_blank())+ 
    facet_wrap(~Material, nrow=2) 
plot(fig3)

非常感谢!

然后，如果我按照建议使用 BarWidth 和 DodgeWith 作为我最初问题的答案，我将无法控制条形组的闪避宽度。也就是说，我想将它们中的一些放在一起，如下所示的两个栏“Envimat”。我改变了颜色，所以两个紫色条和三个红橙色条应该保持在一起。 新代码:

BarWidth = 0.75 
DodgeWidth = .5 
fig3 <- ggplot(data=z4, aes(x=Version, y=Value ,fill=Model))+ 
    geom_bar(aes(width = BarWidth*Fac),stat="identity", position=position_dodge(width = DodgeWidth))+   
    ylab("Million Tons")+ 
    geom_text(aes(label = sprintf("%.1f",round(Value, 1))), size=2,  
              position=position_dodge(width=DodgeWidth), vjust=-0.25)+ 
    scale_fill_manual(values=c("#fdcc8a", "#fc8d59", "#d7301f", "#b3cde3","#8c96c6", "#c2e699"))+ 
    theme_bw()+theme(panel.grid.major.x = element_blank(),  
                     panel.grid.major.y = element_line(colour="grey", linetype = "dotted"), 
                     axis.title.x = element_blank(),legend.title=element_blank(),  
                     panel.background = element_rect(colour = "black"), 
                     legend.key=element_blank(), 
                     legend.text = element_text(colour="black"),  
                     strip.background = element_blank())+ 
    facet_wrap(~Material, nrow=2) 
plot(fig3)

现在的问题(在红橙色条中，我想控制绿色和紫色条之间的距离): red-orange bars overlapped

如果我解决了红橙色条的问题，紫色条就会分开

BarWidth = 0.75 
DodgeWidth = .75

非常感谢

请您参考如下方法:

position_dodge() 可以带一个宽度参数。使用它来设置闪避宽度，并确保将它应用于 geom_bar 和 geom_text。您可能需要调整 y 轴刻度的限制、文本的大小，可能还需要调整图形设备的大小。

此外，在 geom_text 中的 aes() 语句之外获取 size。

像这样:

# Data 
z <- rbind.data.frame(c(23.230077, 109.824940, 72.313763, 76.95888),  
                  c(29.154963, 113.716729, 94.689684, 64.29041), 
                  c(8.450325, 99.190459, 53.193431, 32.97232), 
                  c(15.719120, 126.947621, 39.767791, 56.8059), 
                  c(15.497960, 117.942545, 73.659386, 69.37012), 
                  c(13.522866, 9.939251, 5.906541, 27.69283)) 
colnames(z) <- c("Biomass", "Metals", "Other minerals", "Fossil fuels") 
rownames(z) <- c("Exiobase full", "Exiobase global", "Exiobase EU","ENVIMAT", "ENVIMAT corrected", "Direct Imports") 
library(ggplot2) 
library(reshape2) 
library(plyr) 
 
z1 <- melt(as.matrix(z)); z2 <- c(rep(c(rep("Exiobase", 3), rep("Envimat",2), "Direct"),4)) 
z3 <- cbind.data.frame(z1, z2) 
colnames(z3) <- c("Model", "Material", "Value", "Version") 
 
# Here from the solution posted 
N <- ddply(z3, .(Version), function(x) length(row.names(x))) 
N$Fac <- N$V1 / max(N$V1) 
z4 <-  merge(z3, N[,-2], by = c("Version")) 
 
# Plotting 
BarWidth = .75 
DodgeWidth = .75 
fig3 <- ggplot(data=z4, aes(x=Version, y=Value ,fill=Model))+ 
    geom_bar(aes(width = BarWidth*Fac),stat="identity", position=position_dodge(width = DodgeWidth))+   
   scale_fill_brewer(palette="Set2")+ ylab("Million Tons")+ 
    geom_text(aes(label = sprintf("%.1f",round(Value, 1))), size=2,  
        position=position_dodge(width=DodgeWidth), vjust=-0.25)+ 
    theme_bw()+theme(panel.grid.major.x = element_blank(),  
    panel.grid.major.y = element_line(colour="grey", linetype = "dotted"), 
     axis.title.x = element_blank(),legend.title=element_blank(),  
    panel.background = element_rect(colour = "black"), 
    legend.key=element_blank(), 
    legend.text = element_text(colour="black"),  
    strip.background = element_blank())+ 
    facet_wrap(~Material, nrow=2) 
plot(fig3)

编辑:修改后的问题

不是通用解决方案 - 解决方案特定于 fig3

gb <- ggplot_build(fig3) 
 
w = with(gb$data[[1]][1,], xmax-xmin) 
 
for(i in 1:2) { 
gb$data[[i]][gb$data[[i]]$group == 2, "x"] = 2-(w/2) 
gb$data[[i]][gb$data[[i]]$group == 2, "xmin"] = 2-(w/2)-(w/2) 
gb$data[[i]][gb$data[[i]]$group == 2, "xmax"] = 2-(w/2)+(w/2) 
 
gb$data[[i]][gb$data[[i]]$group == 3, "x"] = 2+(w/2) 
gb$data[[i]][gb$data[[i]]$group == 3, "xmin"] = 2+(w/2)-(w/2) 
gb$data[[i]][gb$data[[i]]$group == 3, "xmax"] = 2+(w/2)+(w/2) 
} 
 
# Get the ggplot grob 
gp = ggplot_gtable(gb) 
 
library(grid) 
grid.newpage() 
grid.draw(gp)


评论关闭
IT序号网
IT序号网 程序员

微信公众号号：IT虾米 （左侧二维码扫一扫）欢迎添加！