Re: [R] graphs for pretest data
On Sat, 2008-08-23 at 12:04 -0400, Juliet Hannah wrote: Is there an easy way to make graphs for the following data. I have pretest and posttest scores for men and women. I would like to form a 'titlted segment' plot for the data. That is, make segments joining the scores, with different types of segments for men and women. Example data: menpre - c(43,42,26,39,60,60,46) menpost - c(40,41,36,42,54,58,43) womenpre - c(46,56,81,56,70,70) womenpost - c(44,52,81,59,69,68) Hi Juliet, This looks like spread.labels in the plotrix package might do the job. Check the second example. Jim __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] graphs for pretest data
?plot ?lines Something like this perhaps plot( menpre, type=l, col=red) lines(menpost, col=blue) lines(womenpre,col=green lines(womenpost, col= orange) also have a look at ?par for various options --- On Sat, 8/23/08, Juliet Hannah [EMAIL PROTECTED] wrote: From: Juliet Hannah [EMAIL PROTECTED] Subject: [R] graphs for pretest data To: r-help@r-project.org Received: Saturday, August 23, 2008, 12:04 PM Is there an easy way to make graphs for the following data. I have pretest and posttest scores for men and women. I would like to form a 'titlted segment' plot for the data. That is, make segments joining the scores, with different types of segments for men and women. Example data: menpre - c(43,42,26,39,60,60,46) menpost - c(40,41,36,42,54,58,43) womenpre - c(46,56,81,56,70,70) womenpost - c(44,52,81,59,69,68) Thanks! Juliet __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. __ [[elided Yahoo spam]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] graphs for pretest data
Dear Juliet,
Perhaps start here:
require(lattice)
mwpp - data.frame(y = c(43,42,26,39,60,60,46,40,41,36,42,54,
58,43,46,56,81,56,70,70,44,52,81,59,69,68),
sex = rep(c(rep('men', 14), rep('women', 12))),
pp = c(rep(c('pre', 'post'), each = 7), rep(c('pre', 'post'), each =
6)),
sub = c(1:7, 1:7, 8:13, 8:13))
xyplot(y ~ pp | sex, groups = sub, type = 'b', mwpp)
_
Professor Michael Kubovy
University of Virginia
Department of Psychology
USPS: P.O.Box 400400Charlottesville, VA 22904-4400
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McCormick RoadCharlottesville, VA 22903
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On Aug 23, 2008, at 12:04 PM, Juliet Hannah wrote:
Is there an easy way to make graphs for the following data. I have
pretest and posttest scores for men and
women. I would like to form a 'titlted segment' plot for the data.
That is, make segments joining the scores,
with different types of segments for men and women.
Example data:
menpre - c(43,42,26,39,60,60,46)
menpost - c(40,41,36,42,54,58,43)
womenpre - c(46,56,81,56,70,70)
womenpost - c(44,52,81,59,69,68)
Thanks!
Juliet
[[alternative HTML version deleted]]
__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
Re: [R] graphs for pretest data
On Sat, Aug 23, 2008 at 1:10 PM, Michael Kubovy [EMAIL PROTECTED] wrote:
Dear Juliet,
Perhaps start here:
require(lattice)
mwpp - data.frame(y = c(43,42,26,39,60,60,46,40,41,36,42,54,
58,43,46,56,81,56,70,70,44,52,81,59,69,68),
sex = rep(c(rep('men', 14), rep('women', 12))),
pp = c(rep(c('pre', 'post'), each = 7), rep(c('pre', 'post'), each =
6)),
sub = c(1:7, 1:7, 8:13, 8:13))
Or in ggplot2:
library(ggplot2)
qplot(pp, y, data=mwpp, geom=c(point,line), group = sub, colour=sex)
qplot(pp, y, data=mwpp, geom=c(point,line), group = sub, facets = . ~ sex)
The key is to get your data into a data frame with variables that
explicitly label the experimental units, as Michael did for you.
Hadley
--
http://had.co.nz/
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
