问题描述
这是我正在处理的数据：
df= structure(list(effect = c(-0.183660494380325,-0.286711283030125,0.144420824373155,0.107958002095135,-0.236028784063033,-0.160120624560128,-0.241734940173219,-0.301094909534684,0.080319901278758,0.166386486331364,2.18044670333557,0.150214406648656,0.101218219003822,-0.382893498692355,-0.131525337511054,-0.0963503379451771,-0.266851983630642,-0.237371391841929,-0.0718562471672148,-0.833148477215979,-0.31532073921026,-0.666010175452128,0.128074208388128,0.105220228400002,0.212888583788477,0.173837214351567,0.0723268793073809,0.227657131980834,0.219566925261995,-0.0577587298548685),lower = c(-0.378799556647341,-0.758072446650849,0.0273385116378299,-0.0239857116078122,-0.595394742028366,-0.392378190445114,-1.07812282304258,-0.870284236088555,-0.117427834790597,0.0202865790073198,-0.0309968796929358,-0.115160638753749,-0.0518695893701463,-1.77050833334992,-0.413234955839275,-0.715635813448282,-0.731134011308218,-0.688660305462684,-0.743460375678667,-1.87822726521072,-1.69792593382383,-2.31272677544801,-0.028273151895772,-0.247721998059409,-0.0799161658359572,-0.110588127178339,-0.114331814482118,-0.127583669808567,-0.114524635314751,-0.393815864368995
),upper = c(0.0119292041841525,0.188761936680526,0.261375601855666,0.239780243784321,0.125309603839398,0.0726943910130132,0.606383207664197,0.274457379488013,0.277860600000933,0.31225850014966,4.28541221179007,0.414903371934528,0.254152061126853,1.06207219690377,0.150862559742933,0.525447262952953,0.201162598075368,0.217070141774486,0.601971540143289,0.260535057064083,1.11526641785088,1.10904764279685,0.284217288085084,0.457299344432491,0.504523841925775,0.45735105097433,0.258818976847914,0.58105825758076,0.552088686400803,0.278729034684897),Subject = structure(c(1L,2L,3L,4L,1L,4L),.Label = c("BIOL112_2019W1","CHEM100_2019W1","CHEM121_2019W1","PHYS100_2019W1"),class = "factor"),item = c("Anx","Anx","Anx"),Dem = c("All","All","Man","Woman","Non-binary","On-campus","<30 min","<60 min",">60 min",">60 min"),cat = c("Class","Class","Gender","Commute","Commute"
)),row.names = c(NA,-30L),class = "data.frame")
当我绘制 facet_grid ggplot 对象并将矩形添加到 alpha = 0.2 的图时，当我的矩形有不同的 alpha 值时，我的矩形具有不同的 alpha 值。我不明白为什么：
ggplot(df,aes(x=Dem) )+
theme_bw()+
geom_rect(aes(ymin = 0,ymax = 0.2,xmin = -Inf,xmax = Inf,fill = 'negligible'),alpha = .2)+
geom_rect(aes(ymin = 0.2,ymax = 0.5,fill = 'small'),alpha = .2)+
geom_rect(aes(ymin = 0.5,ymax = 0.8,fill = 'medium'),alpha = .2)+
geom_rect(aes(ymin = 0.8,ymax = Inf,fill = 'large'),alpha = .2)+
geom_rect(aes(ymin = 0,ymax = -0.2,alpha = .2)+
geom_rect(aes(ymin = -0.2,ymax = -0.5,alpha = .2)+
geom_rect(aes(ymin = -0.5,ymax = -0.8,alpha = .2)+
geom_rect(aes(ymin = -0.8,ymax = -Inf,alpha = .2)+
geom_point(aes(y=effect),stat="identity")+
#scale_x_discrete(position = "top") +
geom_errorbar(aes(ymin=lower,ymax=upper),width=.2)+
facet_grid(Subject~cat,scales="free")+
theme(axis.text.x = element_text(angle = 45,hjust = 1))
我希望所有矩形的 alpha 一致为 0.2，因此对于每个分面图，它们看起来都相同
解决方法
暂无找到可以解决该程序问题的有效方法，小编努力寻找整理中！
如果你已经找到好的解决方法，欢迎将解决方案带上本链接一起发送给小编。
小编邮箱:dio#foxmail.com (将#修改为@）