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Readme file
SERIES C
 Applied Statistics
Bayesian analysis of human movement curves, by
A. K. S. Alshabani et al., Appl. Statist., 56 (2007), 415–428
Each curve consists of 1440 points in 3D. The first 1440 rows contain the (x, y, z) coordinates of the first curve. The next 1440 rows contain the (x,y,z) coordinates of the second curve, and so on. In total there are 34 curves.
The approximate targets of the curves are (in the order listed in the file):
"L45" "L45" "L45" "L45" "L45" "L45" "L45" "0" "0" "0" "0" "0" "0" "0" "R90" "R90" "R90" "R90" "R90" "R90" "R90" "L90" "L90" "L90" "L90" "L90" "L90" "L90" "R45" "R45" "R45" "R45" "R45" "R45"
A simple R script for reading in the data is as follows:
par(mfrow=c(1,1))
par(pty="s")
Q<-scan("adlr-data.txt")
Q1<-array(Q,c(3,1440,34))
Q2<-aperm(Q1,c(2,1,3))
target<-c(rep(2,times=7),rep(3,times=7),rep(5,times=7),
rep(1,times=7),rep(4,times=6))
targetgroup<-c(rep("L45",times=7),rep("0",times=7),rep("R90",times=7),
rep("L90",times=7),rep("R45",times=6))
##
plot(Q2[,,i],col=target[i],xlim=c(-200,500),ylim=c(-350,350),xlab="x",ylab="y")
for (i in 1:34){
points(Q2[,,i],col=target[i])
}
I. L. Dryden
School of Mathematical Sciences
University of Nottingham
University Park
Nottingham
NG7 2RD
UK
E-mail: ian.dryden@nottingham.ac.uk
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