On Dec 22, 2009, at 8:52 PM, Jon Prince wrote:
David Winsemius wrote:
On Dec 22, 2009, at 5:19 PM, Jon Prince wrote:
David Winsemius wrote:
On Dec 22, 2009, at 4:22 PM, Jon Prince wrote:
Hi, I'm new to R, with some experience with Matlab and SPSS.
I've figured out how to run my repeated measures anova and am
getting the right numbers for my effects (comparing with results
from other software), but am having trouble with the
model.tables function. Specifically, using:
prints the means, but then won't do the SE values, instead giving:
Warning message:
In model.tables.aovlist(fm, "means", se = TRUE) :
SEs for type 'means' are not yet implemented"
Asking for SEs for "effects" works fine, but that's not what I
want. I searched the help for this issue and one other person
has had this problem last year (http://markmail.org/message/k5yxxqcfiihvzvtp?q=list:r-project+model%2Etables
), but the person helping them was unable to replicate it,
inferring that it was an out-of-date version. My version is:
R version 2.10.1 (2009-12-14)
I only downloaded it the other day, and therefore cannot have an
outdated version. How can I fix this error and get my SE values?
Apologies if I have not provided sufficient information, and
thanks in advance for your help.
When I look at the output of the first model.tables call copied
from the help page, I see a list element that holds "se" values.
Try:
model.tables(fm,"means",se=TRUE)$se
Thanks for the rapid reply! Unfortunately adding the $se returns
NULL, and repeats the same warning message ("...not yet
implemented"). If you're not experiencing the issue, is it
possible for me to replace the relevant code/source file with what
you have (or would that require recompiling)? Could this be an OS
issue? I'm running Mac OSX 10.6.2.
By the way, I "replied all" on this message, but let me know if
that is not the preferred convention. Cheers,
Reply all. That way people can correct my mistakes and general
cluelessness. I'm running MacOSX 10.5.8 so it would seem less
likely that is the explanation.
1) Did you run the example in the help pages?
2) When I look at :
> methods(model.tables)
[1] model.tables.aov* model.tables.aovlist*
... I see both an "aov" method and an "aovlist" method. Is it
possible that there is something about the object that you are
working on that makes it an aovlist at thus invokes a different
function than what the help page invokes?
The code would not require complination... it's available with
getAnywhere() and I do not see any calls to compiled or .Internal
subroutines. Tell me what happens with the above questions first.
Sorry for the delayed response, I've been trying to work out the
discrepancy between my data and the example data in terms of getting
the SE means.
1.) Upon trying the example, it appears to work on my machine (i.e.,
I get the SE means). Since then I've been spending my time trying to
figure out why it doesn't do the same for my data. I can't figure it
out.
2.) Given my lack of experience, it is quite possible that I've
loused up an object somewhere, but I don't know how to track that
down. I have put my code below, and can send the data file too if
you're willing to take a look. Both the p and t factors have three
levels, combined factorially. There are four replications of each p-
t combination, and the rating data vary from 1 to 7.
##load data
rate_data<-read.table("/Users/jonprince/Desktop/
attend_pitch_3p3t.txt")
##set factors
p<-factor(rate_data$V3)
t<-factor(rate_data$V2)
subject<-factor(rate_data$V1)
##set data
rate<-rate_data$V4
##run anova
fm<-aov(rate ~ p*t + Error(subject/(p*t)),rate_data)
But, but, but, ... none of those objects (p,t,subject, rate) are part
of rate_data!
##get summary
summary(fm)
##tables
model.tables(fm,"means",se=TRUE)
Without more information, I would be flailing around, and even then I
am not particularly experienced with the aov framework. My guess is
that you will get better advice on the R-mixed-models-SIG. I would
offer more information to that group, at a minimum the output of str
on rate_data (once you actually create the variables IN rate_data.)
--
David
Thanks again, I really appreciate the help.
Jon
--
Jon Prince
Postdoctoral Research Associate
David Winsemius, MD
Heritage Laboratories
West Hartford, CT
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