bout statistics is about as
sensible as taking a statistician's advice about chemistry - the mileage can
vary.
S Ellison
> -Original Message-
> From: r-help-boun...@r-project.org
> [mailto:r-help-boun...@r-project.org] On Behalf Of Austin Paul
> Sent: 27 September 2011 0
if this is making sense to you.
Regards,
Indrajit
From: Austin Paul
Cc: "r-help@r-project.org"
Sent: Tuesday, September 27, 2011 12:30 PM
Subject: Re: [R] two-way anova help
Hi Indrajit and Bert,
Â
I really appeciate your help. I have coded as
lication. Your model form will remain the same.
>
> Regards,
> Indrajit
>
> --
> *From:* Austin Paul
> *To:* Indrajit Sengupta
> *Cc:* "r-help@r-project.org"
> *Sent:* Tuesday, September 27, 2011 10:57 AM
> *Subject:* Re: [R] t
ale, data =)
> >
> >
> > Regards,
> > Indrajit
> >
> >
> > --
> > *From:* Austin Paul
> > *To:* r-help@r-project.org
> > *Sent:* Tuesday, September 27, 2011 6:13 AM
> > *Subject:* [R] two-way anova help
> &
___
To: Austin Paul
Cc: "r-help@r-project.org"
Sent: Tuesday, September 27, 2011 12:10 PM
Subject: Re: [R] two-way anova help
Hi Paul,
There should not be any problem. Here is how I visualize the data table looks
like:
Obs Male_type Â
Female_typeÂ
Response
1 1 1 34
2 1 1 44
model form will remain the same.
Regards,
Indrajit
From: Austin Paul
Cc: "r-help@r-project.org"
Sent: Tuesday, September 27, 2011 10:57 AM
Subject: Re: [R] two-way anova help
Hi,
Yes. As I explained, the three male and three female types were
ale:female, data =)
>
>
> Regards,
> Indrajit
>
>
> --
> *From:* Austin Paul
> *To:* r-help@r-project.org
> *Sent:* Tuesday, September 27, 2011 6:13 AM
> *Subject:* [R] two-way anova help
>
> Hello,
>
> I am having some trouble coding a two-way anova due t
stin Paul
To: r-help@r-project.org
Sent: Tuesday, September 27, 2011 6:13 AM
Subject: [R] two-way anova help
Hello,
I am having some trouble coding a two-way anova due to replicated
treatments.
I have a factorial design with three male parents and three female parents.
They were mated in all
Hello,
I am having some trouble coding a two-way anova due to replicated
treatments.
I have a factorial design with three male parents and three female parents.
They were mated in all combinations and their babies were grown out and
measured for size. 50 babies were measured for each of the 9 cr
Hi,
I am fairly new to R and still trying to figure out how it all works, and I
have run into a few issues. I apologize in advance if my questions are a bit
basic, I'm also no statistics wizard, so part of my problem my be a more
fundamental lack of knowledge in the field.
I have a dataset that l
the following works. i don't exactly what happens here. I guess "lm"
might treat S1 and S2 as quantitative variables, not qualitative
variables.
cheers,
Zhiliang
S1 <- as.character(Data[,1])
S1 <- as.factor(S1)
S2 <- as.character(Data[,2])
S2 <- as.factor(S2)
data <- data.frame(S1=S1, S2=S2, ExM=
On Jul 8, 2009, at 12:11 PM, Greg Snow wrote:
Well, since we don't have Data.txt it is kind of hard for us to
replicate what you have done.
Here goes a guess as to what the problem may be.
Have you told R anywhere that S1 and S2 are factors with 6 levels
rather than numeric vectors? Or are
5 AM
> To: r-help@r-project.org
> Subject: [R] Two-way ANOVA gives different results using anova(lm())
> than doing it by hand
>
>
> Hey!
>
>
>
> Could you please take a quick look at what I have done? Somehow I get
> wrong results using the anova(lm()) combi
Hey!
Could you please take a quick look at what I have done? Somehow I get wrong
results using the anova(lm()) combination compared to doing a two way ANOVA by
hand.
Running:
Data<-read.table("Data.txt");
g<-lm(ExM~S1*S2,Data);
anova(g);
Gives:
Analysis of Variance Table
Res
Using traditional ANOVA, you'd have to drop either cases or time
points with missing data. Using linear mixed effects analysis, you'd
be able to use all the data. LME also has the benefit of *not*
assuming sphericity, which is good for data like yours (many measures
across few cases) where the trad
Hello,
I'm trying to do a comparsion on a large scale say 10L bottle of liquid and a
small scale bottle of liquid 0.5L, I have 5 different samples from each and
they are measured over the space of 8 days as % viability and the % viability
decreases over time. However not all 10 samples got me
Mackovjak
Gesendet: Wednesday, March 19, 2008 6:02 PM
An: r-help@r-project.org
Betreff: [R] Two Way ANOVA
First time using, the mailing list and I'm somewhat new to R, so excuse me
if I do anything wrong.
I was wondering how I would set up a two way ANOVA for the following
First time using, the mailing list and I'm somewhat new to R, so excuse me if I
do anything wrong.
I was wondering how I would set up a two way ANOVA for the following data:
Nitrogen
(0)
Nitrogen
(20)
(cell
means)
to:[EMAIL PROTECTED] On Behalf Of Keith Jones
> Sent: Friday, 29 February 2008 3:46 p.m.
> To: r-help@r-project.org
> Subject: [R] Two Way ANOVA
>
> Hi,
>
> I am using the:
>
> pcf.aov<-aov(meas~op+part, data=pcf.ex2),
>
> command to perform a two way ANOVA. When
Hi,
I am using the:
pcf.aov<-aov(meas~op+part, data=pcf.ex2),
command to perform a two way ANOVA. When I save the:
sumpcf<- summary.aov(pcf.aov),
result of the summary.aov command in a variable I need to access the
individual pieces of information in the summary. The summary appears
to be
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