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I have a set of paired data, and I'm using ggplot2.boxplot with added (jittered) individual data points:
ggplot2.boxplot(data=INdata,xName='condition',yName='vicarious_pain',groupName='condition',showLegend=FALSE,
position="dodge",
addDot=TRUE,dotSize=3,dotPosition=c("jitter", "jitter"),jitter=0.2,
ylim=c(0,100),
backgroundColor="white",xtitle="",ytitle="Pain intenstity",mainTitle="Pain intensity",
brewerPalette="Paired")
INdata:
ID,condition,pain
1,Treatment,4.5
3,Treatment,12.5
4,Treatment,16
5,Treatment,61.75
6,Treatment,23.25
7,Treatment,5.75
8,Treatment,5.75
9,Treatment,5.75
10,Treatment,44.5
11,Treatment,7.25
12,Treatment,40.75
13,Treatment,17.25
14,Treatment,2.75
15,Treatment,15.5
16,Treatment,15
17,Treatment,25.75
18,Treatment,17
19,Treatment,26.5
20,Treatment,27
21,Treatment,37.75
22,Treatment,26.5
23,Treatment,15.5
25,Treatment,1.25
26,Treatment,5.75
27,Treatment,25
29,Treatment,7.5
1,No Treatment,34.5
3,No Treatment,46.5
4,No Treatment,34.5
5,No Treatment,34
6,No Treatment,65
7,No Treatment,35.5
8,No Treatment,48.5
9,No Treatment,35.5
10,No Treatment,54.5
11,No Treatment,7
12,No Treatment,39.5
13,No Treatment,23
14,No Treatment,11
15,No Treatment,34
16,No Treatment,15
17,No Treatment,43.5
18,No Treatment,39.5
19,No Treatment,73.5
20,No Treatment,28
21,No Treatment,12
22,No Treatment,30.5
23,No Treatment,33.5
25,No Treatment,20.5
26,No Treatment,14
27,No Treatment,49.5
29,No Treatment,7
The resulting plot looks like this: https://i.stack.imgur.com/Bldwy.png
However, since this is paired data, I want to represent this in the plot - specifically to add lines between paired datapoints. I've tried adding
... + geom_line(aes(group = ID))
..but I am not able to implement this into the ggplot2.boxplot code. Instead, I get this error:
Error in if (addMean) p <- p + stat_summary(fun.y = mean, geom = "point", :
argument is not interpretable as logical
In addition: Warning message:
In if (addMean) p <- p + stat_summary(fun.y = mean, geom = "point", :
the condition has length > 1 and only the first element will be used
Grateful for any input on this!
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