t;5 replicate tanks"?
> >
> > Doing a two way anova is very simple in R. You would need to fit a
> > linear model (lm function).
> >
> > Eg.:
> >
> > > model <- lm(y ~ male + female + male:female, data =)
> >
> >
> > Regards,
>
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
9 matches
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