11

所以我正在尝试制作一个条形宽度映射到变量的堆叠条形图；但我希望我的酒吧之间的间距是恒定的。

有谁知道如何使条之间的间距保持不变？

现在我有这个：

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

在此处输入图像描述

提前致谢。

顺便说一下，这是我的数据（对于冗长而庞大的数据感到抱歉）：

> 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")
4

2 回答 2

9

对于分类或“离散”比例 - 您可以调整宽度，但它需要介于 0 和 1 之间。您的 value.x 将其置于 1 之上，因此重叠。您可以使用 scales 包中的 rescale 来快速调整它，以便栏的类别内宽度代表其他一些变量（在本例中为 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()

玩重新缩放以获得最佳“视图”更改 0.5 到 0.25 ......等等。

在此处输入图像描述

就个人而言，我认为这样的内容更具信息性：

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")

在此处输入图像描述

于 2012-07-05T16:17:07.483 回答
5

尝试#2。

我在欺骗 ggplot2 将连续尺度写成分类。

# 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()

在此处输入图像描述

为了更好地衡量，您可能需要调整文本大小。完成了... + opts(axis.text.y=theme_text(size=12))

于 2012-07-06T00:55:36.677 回答