-----Original Message-----
From: r-help-boun...@r-project.org
[mailto:r-help-boun...@r-project.org] On Behalf Of David Winsemius
Sent: Wednesday, 23 December 2009 4:13 p.m.
To: Jon Prince
Cc: r-help@r-project.org
Subject: Re: [R] trouble with model.tables SE means
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+mod
el%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it, inferring that it was an out-of-date version.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outdated version.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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