Given a matrix or data frame, data, find statistics based upon a grouping variable and then plot x and y means with error bars for each value of the grouping variable. If the data are paired (e.g. by gender), then plot means and error bars for the two groups on all variables.
errorCircles(x, y, data, ydata = NULL, group=NULL, paired = FALSE, labels = NULL,
main = NULL, xlim = NULL, ylim = NULL, xlab = NULL, ylab = NULL,add=FALSE, pos = NULL,
offset = 1, arrow.len = 0.2, alpha = 0.05, sd = FALSE, bars = TRUE, circles = TRUE,
colors=NULL,col.arrows=NULL,col.text=NULL,circle.size=1, ...)If the group variable is specified, then the statistics from statsBy are (invisibly) returned.
The x variable (by name or number) to plot
The y variable (name or number) to plot
The matrix or data.frame to use for the x data
If plotting data from two data.frames, then the y variable of the ydata frame will be used.
If specified, then statsBy is called first to find the statistics by group
If TRUE, plot all x and y variables for the two values of the grouping variable.
Variable names
Main title for plot
xlim values if desired-- defaults to min and max mean(x) +/- 2 se
ylim values if desired -- defaults to min and max mean(y) +/- 2 se
label for x axis -- grouping variable 1
label for y axis -- grouping variable 2
If TRUE, add to the prior plot
Labels are located where with respect to the mean?
Labels are then offset from this location
Arrow length
alpha level of error bars
if sd is TRUE, then draw means +/- 1 sd)
Should error.bars be drawn for both x and y
Should circles representing the relative sample sizes be drawn?
Plot the points using colors -- default is black
What color for the text labels (defaults to colors)
What color should the arrows and circles be? Defaults to colors
A scaling parameter for the error.circles. Defaults to 1, but can be adjusted downwards to make them less instrusive.
Other parameters for plot
William Revelle
When visualizing the effect of an experimental manipulation or the relationship of multiple groups, it is convenient to plot their means as well as their confidence regions in a two dimensional space.
The diameter of the enclosing circle (ellipse) scales as 1/sqrt(N) * the maximum standard error of all variables. That is to say, the area of the ellipse reflects sample size.
statsBy, describeBy, error.crosses
#BFI scores for males and females
errorCircles(1:25,1:25,data=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=bfi,group="gender",paired=TRUE,circles=FALSE,
ylab="female scores",xlab="male scores",main="BFI scores by gender")
abline(a=0,b=1)
if(require(psychTools)) {
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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