我有相同的问题,在这里解释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。我已经尝试过那里提出的解决方案,但似乎我做错了,因为然后我的杠重叠了。我不是高级R用户,因此不胜感激。
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,如果我使用提议的BarWidth和DodgeWith作为对原始问题的回答,则无法控制一组钢筋的躲避宽度。也就是说,我想将其中的一些组合在一起,如下图所示,用于“Envimat”两个条。我更改了颜色,因此应将两个紫色的条和三个橙色的条保持在一起。
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(在红色橙色条中,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,紫色的条会被分开
BarWidth = 0.75
DodgeWidth = .75
非常感谢
最佳答案
position_dodge()
可以采用width参数。使用它来设置躲避宽度,并确保将其应用于geom_bar
和geom_text
。您可能需要调整y轴比例的限制,文本的大小以及图形设备的大小。
另外,将size
放在aes()
的geom_text
语句之外。
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:修订的问题
不是一般的解决方案-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)
关于r - 尝试使用ggplot2中的facet_wrap固定条宽度时重叠的条,我们在Stack Overflow上找到一个类似的问题:https://stackoverflow.com/questions/37624482/