Thank you so much!!
Best,
Dave Deriso
UCSD Psychology
study.lme = lme(value~condition:diff - 1,random=~1|subject)
> summary(study.lme)
Linear mixed-effects model fit by REML
Data: NULL
AIC BIClogLik
19354.54 19405.71 -9666.272
Random effects:
Formula: ~1 | subject
file_to_delete = file.choose()
file.remove(file_to_delete)
Best,
Dave Deriso
UCSD Psychology
On Thu, May 20, 2010 at 1:46 AM, Sergey Goriatchev wrote:
> Hello,
>
> I have an Excel file on a drive and I extract data from it into R session.
> Once I have extracted the data, I want to
12828.399 688 1.007109 0.3142
Also, why are diff25 and condition1 missing from the output??
Thanks again for your generous help!!!
Best,
Dave Deriso
On Wed, May 19, 2010 at 10:08 PM, David Atkins wrote:
>
> Dave--
>
> Given that you want all comparisons among all means in your desig
12828.399 688 1.007109 0.3142
Also, why are diff25 and condition1 missing from the output??
Thanks again for your generous help!!!
Best,
Dave Deriso
On Wed, May 19, 2010 at 10:08 PM, David Atkins wrote:
>
> Dave--
>
> Given that you want all comparisons among all means in your design,
#compute the significance
library(nlme)
study.lme = lme(value~condition*diff,random=~1|subject/rep)
summary(study.lme)
Thank you so much for your generous help!!!
Best,
Dave Deriso
UCSD Psychology
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__
Hello,
With a little broader searching, I did find a solution by Fernando Saldanha
(http://tolstoy.newcastle.edu.au/R/help/05/04/3559.html):
eval(parse(text = paste('testMatrix', '[1,] <- 4', sep = '')))
Thanks anyway!!
Best,
Dave
On Mon, Feb 8, 201
Matrix)
When I try to access "inputName[1,]" instead of "inputName," it fails. Does
anyone know how to do this?
Thanks in advance!!
Best Regards,
Dave Deriso
Undergraduate Researcher
UCSD Psychiatry
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_
ave messed up your first example: perhaps you meant
>
> studentDataSource="http://files.davidderiso.com/r/studentData.data";
>
> There are no P values in that example because there is no residual
> variation: the model fits exactly.
>
>
> On Sat, 9 Jan 2010, Dave Deriso w
n 9, 2010 at 3:33 AM, Dave Deriso wrote:
> Hello,
>
> I have a simple question about using the aov function syntax (ie. * + or :)
> for the interaction of 2 factors. I have read the help files, and researched
> other sites, and have included my source files. My goal is to measure th
I can get the measure the significance of
population:condition with 2 different methods, but I get 2 different results
(using the "allData" source). Can you please explain why these Pr(>F) values
are different?
Thank you so much for your help!!
Sincerely,
Dave Deriso
UCSD Psychiatry
#Exa
[i] =
rbind(as.numeric(k[(i+1)])-as.numeric(k[(i)]))}else{k2[i] =
rbind((1+as.numeric(k[(i+1)]))-as.numeric(k[(i)]))}}
Thanks so much for your help!!!
Best,
Dave Deriso
UCSD Psychiatry
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