#BFI scores for males and females
errorCircles(1:25,1:25,data=psychTools::bfi,group="gender",paired=TRUE,ylab="female scores",
xlab="male scores",main="BFI scores by gender")
abline(a=0,b=1)
#drop the circles since all samples are the same sizes
errorCircles(1:25,1:25,data=psychTools::bfi,group="gender",paired=TRUE,circles=FALSE,
ylab="female scores",xlab="male scores",main="BFI scores by gender")
abline(a=0,b=1)
data(psychTools::affect)
colors <- c("black","red","white","blue")
films <- c("Sad","Horror","Neutral","Happy")
affect.stats <- errorCircles("EA2","TA2",data=psychTools::affect[-c(1,20)],
group="Film",labels=films,
xlab="Energetic Arousal",ylab="Tense Arousal",ylim=c(10,22),xlim=c(8,20),
pch=16,cex=2,colors=colors, main ="EA and TA pre and post affective movies")
#now, use the stats from the prior run
errorCircles("EA1","TA1",data=affect.stats,labels=films,pch=16,cex=2,colors=colors,add=TRUE)
#show sample size with the size of the circles
errorCircles("SATV","SATQ",sat.act,group="education")
#Can also provide error.bars.by functionality
errorCircles(2,5,group=2,data=sat.act,circles=FALSE,pch=16,colors="blue",
ylim= c(200,800),main="SATV by education",labels="")
#just do the breakdown and then show the points
# errorCircles(3,5,group=3,data=sat.act,circles=FALSE,pch=16,colors="blue",
# ylim= c(200,800),main="SATV by age",labels="",bars=FALSE)
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