在Excel中,数据组织如下:
Bare NP Singular-Marked NP Plural-Marked NP
BrP Speakers AmE Speakers BrP Speakers AmE Speakers BrP Speakers AmE Speakers
Plural Interpretation 0.005747126 0.006896552 0.194117647 0.124567474 0.872093023 0.985815603
Plural & Singular Interpretation 0.649425287 0.910344828 0.029411765 0.051903114 0.127906977 0.014184397
Singular Interpretation 0.344827586 0.082758621 0.776470588 0.823529412 0 0
我能够生成如下所示的堆叠条形图:
是否有一种简单的方法可以重现x轴分割成单独条件的方式(即,“裸NP”,“奇异标记NP”和“多重标记” NP“)使用R
?
目前我能想到的只有:
pluralInterp <- c(0.005747126,0.006896552,0.194117647,0.124567474,0.872093023,0.985815603)
pluralAndSingInterp <- c(0.649425287,0.910344828,0.029411765,0.051903114,0.127906977,0.014184397)
singInterp <- c(0.344827586,0.082758621,0.776470588,0.823529412,0,0)
a <- rbind(pluralInterp,pluralAndSingInterp,singInterp)
colnames(a) <- c("Bare NP ~ BrP Speakers",
"Bare NP ~ AmE Speakers",
"Singular-Marked NP ~ BrP Speakers",
"Singular-Marked NP ~ AmE Speakers",
"Plural-Marked NP ~ BrP Speakers",
"Plural-Marked NP ~ AmE Speakers"
)
barplot(a,
col=c("blue","red","purple"),
ylab="Frequency of Interpretation",
xlab="Form of NP and Native Language",
main="Frequency of BrP and AmE Interpretations of NPs in Neutral Environments"
)
产生以下图表:
答案 0 :(得分:4)
稍微手动调整边距并调用axis()
两次可以帮助您实现目标。
保存像bp <- barplot(...)
这样的条形图会保存每个条形图的中点以供将来参考。
oldpar <-par(mar=c(7,5.1,4.1,2.1))
bp <- barplot(a,
col=c("blue","red","purple"),
ylab="Frequency of Interpretation",
xlab="",
main="Frequency of BrP and AmE Interpretations \n of NPs in Neutral Environments",
axisnames=FALSE
)
然后,您可以使用bp
中存储的值来正确对齐事物。您可以使用line=...
<{1}}参数将组和子组标签对齐到axis()
avgpts <- tapply(bp,rep(1:3,each=2),mean)
grps <- c("Bare NP","Singular-Marked NP","Plural-Marked NP")
subgrps <- c("BrP","AmE")
axis(1,at=bp,labels=rep(subgrps,3), cex.axis=0.7)
axis(1,at=avgpts,labels=grps, cex.axis=0.7,line=1.5,lwd=0)
title(xlab="Form of NP and Native Language",line=4.5)
导致: