From: Judy Chung <cp3942_at_gmail.com>

Date: Thu 08 Dec 2005 - 20:59:31 EST

3 1.0 8.935039

4 2.0 7.970755

R-help@stat.math.ethz.ch mailing list

https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html Received on Thu Dec 08 21:12:09 2005

Date: Thu 08 Dec 2005 - 20:59:31 EST

1 0.0 10.006306 2 0.5 9.433443 3 1.0 8.893405 4 2.0 7.904274 [[2]] Y1 X1 1 0.0 10.015972 2 0.5 9.460064

3 1.0 8.935039

4 2.0 7.970755

[[3]]

Y1 X1

1 0.0 9.985741 2 0.5 9.552583 3 1.0 9.138239 4 2.0 8.362664

[[4]]

.......

[[5]]

.......

*> x1<-coffee[[1]]$Y1
**> y1<-coffee[[1]]$X1
**> x2<-coffee[[2]]$Y1
**> y2<-coffee[[2]]$X1
*

> x3<-coffee[[3]]$Y1

> y3<-coffee[[3]]$X1

.....

*> plot(y1~x1)
*

> points(y2~x2)

> points(y3~x3)

.......

Because I am a newbie in R, so I just can use the above method to
solve the problem.

If there is a smarter way to this.

Thanks for any help.

R-help@stat.math.ethz.ch mailing list

https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html Received on Thu Dec 08 21:12:09 2005

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