如何解决分面网格分页条形图中的数据点数量可变:不要拉伸并留下间隙
我有以下结构的数据:
data <- structure(list(country_code_reordered = c("AUS","AUS","AUT","BEL","CAN","NZL","NZL"),year = c(2004,2004,2007,2013,1999,2003,1997,2008,2011,2015,1996,2002,2014,2014
),variable = c("apples","bananas","pears","kiwi","Other","apples","Other"),value = c(0.210602311624262,0.193163140707949,0.596234547667789,0.17398206734332,0.217457043156019,0.608560889500661,0.23261274015293,0.0992685513509725,0.151373051792519,0.516745656703578,0.0712474108989224,0.189258040518201,0.0383721309596656,0.701122417623211,0.109226970952933,0.105200617726645,0.785572411320422,0.0532023348024211,0.218013168445272,0.0584327223054532,0.670351774446853,0.178736197223,0.00601818929193635,0.815245613485064,0.0362174844236991,0.249671873501215,0.104923472200597,0.609187169874489,0.13514989266512,0.191034506260092,0.673815601074788,0.0478154265820596,0.191713466865929,0.760471106552011,0.0521122020472708,0.25138957510272,0.696498222850009,0.188520116312847,0.0904901629697208,0.189079585384056,0.531910135333376,0.0651479433250636,0.0840392490970888,0.110277852460391,0.106226799045419,0.634308156072038,0.183960204165918,0.142414543504934,0.673625252329148,0.0890430949235527,0.239622573605545,0.671334331470902,0.101627964301596,0.200552566638327,0.697819469060078)),row.names = c(NA,-80L),class = c("tbl_df","tbl","data.frame"))
但是更多的国家年(这就是为什么使用 facet_grid
和 facet_wrap
似乎不现实的原因),我想使用以下代码在堆积条形图中绘制:
ggplot(d,aes(fill=variable,y=value,x=year)) +
scale_fill_brewer(name = "Fruits",labels = c("pears","apples"),guide = guide_legend(reverse = T))+
geom_bar(position = "fill",stat="identity") +
labs(x = "Country code",y = "Contribution",title = NULL) +
ggforce::facet_wrap_paginate(~country_code_reordered,nrow = 1,ncol = 4,page = 1,scales = "free_x")
可以使用不同的年份和不同的年份数(例如,AUT
只有一年 - 2013 年,BEL
有两年 - 仅 1999 年和 2003 年,等等)。这导致 AUT
的数据在宽度上被拉伸,而 BEL
有一个间隙。我希望数据显示为
- 条形宽度保持不变(即一年的宽度相同,例如
AUS
和AUT
) - 刻面宽度随年数变化
- “空年”没有空白(即
BEL
没有空的 x 轴条目 2000、2001、2002 年)。
有人能指出我正确的方向吗?
解决方法
如果您将刻面比例和空间设置为 "free_x"
,您将获得相对大小。要删除空年份,您应该将其转换为因子变量。由于音阶是免费的,这会降低面板中未使用的级别。
library(ggplot2)
library(ggforce)
ggplot(data,aes(x = as.factor(year),y = value,fill = variable)) +
geom_col(position = "fill") +
facet_grid_paginate(~ country_code_reordered,scales = "free_x",space = "free_x",nrow = 1,ncol = 4,page = 1)
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