ggplot2中的条形图，宽度作为一个变量，甚至条间的间距

Question

所以我试图做一个条形宽度映射到变量的堆积条形图;但我想我的酒吧之间的间距是恒定的。

有没有人知道如何使间隔常数之间的酒吧？

现在我有这样的：提前

p<-ggplot(dd, aes(variable, value.y, fill=Date, width=value.x/15))+ coord_flip() + opts(ylab="") 

p1<-p+ geom_bar(stat="identity") + scale_fill_brewer(palette="Dark2") + scale_fill_hue(l=55,c=55) 

p2<-p1 + opts(axis.title.x = theme_blank(), axis.title.y = theme_blank()) 

p2 

感谢。

顺便说这是我的数据（抱歉长，体积大dput）：

> dput(dd) 
structure(list(variable = structure(c(1L, 1L, 1L, 1L, 1L, 3L, 
3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 7L, 7L, 7L, 7L, 7L, 2L, 2L, 
2L, 2L, 2L, 6L, 6L, 6L, 6L, 6L, 5L, 5L, 5L, 5L, 5L, 9L, 9L, 9L, 
9L, 9L, 8L, 8L, 8L, 8L, 8L), .Label = c("Alcohol and Tobacco", 
"Health and Personal Care", "Clothing", "Energy", "Recreation and Education", 
"Household", "Food", "Transportation", "Shelter"), class = "factor", scores = structure(c(2.91, 
5.31, 10.08, 15.99, 4.95, 11.55, 11.2, 27.49, 20.6), .Dim = 9L, .Dimnames = list(
    c("Alcohol and Tobacco", "Clothing", "Energy", "Food", "Health and Personal Care", 
    "Household", "Recreation and Education", "Shelter", "Transportation" 
    )))), value.x = c(2.91, 2.91, 2.91, 2.91, 2.91, 5.31, 5.31, 
5.31, 5.31, 5.31, 10.08, 10.08, 10.08, 10.08, 10.08, 15.99, 15.99, 
15.99, 15.99, 15.99, 4.95, 4.95, 4.95, 4.95, 4.95, 11.55, 11.55, 
11.55, 11.55, 11.55, 11.2, 11.2, 11.2, 11.2, 11.2, 27.49, 27.49, 
27.49, 27.49, 27.49, 20.6, 20.6, 20.6, 20.6, 20.6), Date = structure(c(5L, 
4L, 3L, 2L, 1L, 5L, 4L, 3L, 2L, 1L, 5L, 4L, 3L, 2L, 1L, 5L, 4L, 
3L, 2L, 1L, 5L, 4L, 3L, 2L, 1L, 5L, 4L, 3L, 2L, 1L, 5L, 4L, 3L, 
2L, 1L, 5L, 4L, 3L, 2L, 1L, 5L, 4L, 3L, 2L, 1L), .Label = c("1993-2001", 
"2001-2006", "2007-2010", "2010-2011", "2012 Jan - May"), class = "factor"), 
    value.y = c(2.1, 2.5, 7.6, 21.7, 2.8, 1.5, 0.3, -4.1, -4.2, 
    4.7, 3, 16.9, 1.9, 32.8, 23.9, 3.2, 4.6, 11.3, 8.9, 12.9, 
    1.7, 2, 7.8, 5.9, 10, 1.9, 2.1, 5.6, 2.2, 9.9, 1.4, 1.3, 
    2.2, 0.6, 17.3, 1.1, 2.3, 6.4, 13.1, 10, 4.3, 7.6, 0.9, 15.2, 
    20.5)), .Names = c("variable", "value.x", "Date", "value.y" 
), row.names = c(NA, -45L), class = "data.frame") 

Answer 1

尝试＃2

我诱骗到GGPLOT2写一个连续的尺度为分类。

# The numbers for tmp I calculated by hand. Not sure how to program 
# this part but the math is 
# last + half(previous_width) + half(current_width) 
# Change the 1st number in cumsum to adjust the between category width 

tmp <- c(2.91,7.02,14.715,27.75,38.22,46.47,57.845,77.19,101.235) + cumsum(rep(5,9))

dd$x.pos1 <- rep(tmp,each=5) 
ggplot(dd,aes(x=x.pos1,y=value.y,fill=Date)) + 
geom_bar(aes(width=value.x),stat="identity",position="stack") + 
scale_x_continuous(breaks=tmp,labels=levels(dd$variable)) + 
coord_flip() 

良好的措施，你可能会想调整文字大小。这是用... + opts(axis.text.y=theme_text(size=12))

Answer 2

对于分类或“离散”规模 - 你可以调整宽度，但它需要0-1之间1.你的value.x超过1，因此重叠。您可以使用的重新调整，从规模封装与重新调整以达到最佳“视图中快速调整这使得杆的范畴内，宽度为代表的一些其他变量（在这种情况下value.x）

install.packages("scales") 
library(scales) 
ggplot(dd,aes(x=variable,y=value.y,fill=Date)) + 
geom_bar(aes(width=rescale(value.x,c(0.5,1))),stat="identity",position="stack")' + 
coord_flip() 

播放“更改为0.5至0.25 ...等

就个人而言，我觉得这样的事情是提供更多的信息：

ggplot(dd,aes(x=variable,y=value.y,fill=Date)) + 
geom_bar(aes(width=rescale(value.x,c(0.2,1))),stat="identity") + 
coord_flip() + facet_grid(~Date) + opts(legend.position="none")