Hi,
Thank you all so much for the help provided here!
@Dennis.. from your work-through I can see where I had gotten lost, I
greatly appreciate your time.
The question that remains is whether or not I actually need to be doing
this it seems, so here is the rationale...
The variables cannot be s
At 02:05 25/11/2012, Catriona Hendry wrote:
Hi,
@ Albyn, David.. No, its not homework. Its basic groundwork for testing
allometric relationships for a graduate project I am working on. I read the
guide before posting, I spent half the day trying to understand how I am
going wrong based on the ad
Catriona:
You have already been roundly (and appropriately) chastised for your sins.
So I need not join the chorus.
Instead, let me just briefly focus on the substance of what you are trying
to do, because I continue to believe it's wrong. Here's the leading
question:
Could you just as logicall
BTW that plot is ridiculous. You should be plotting using the
coefficients from the non-offset model, since that is the real data
model.
On Nov 24, 2012, at 6:05 PM, Catriona Hendry wrote:
Hi,
@ Albyn, David.. No, its not homework. Its basic groundwork for
testing
allometric relationshi
Hi Albyn,
Not a problem :)
I had calculated the CI using
>confint(Regression_PhyloContrasts, level=0.95)
Is that adequate? I had been using this as my indicator of significance,
but ultimately I need a P-value for the deviation from a slope of 1. Which
is where I ran into trouble trying to use
Dear Cat
My apologies for presuming...
Here's a "primitive" solution: compute a t-statistic or CI.
t = (beta-hat - 1)/SE(beta-hat), compare to qt(.975, res.df)
Or Better, compute the 95% confidence interval
beta-hat + c(-1,1)*qt(.975, res.df)*SE(beta-hat)
albyn
On 2012-11-24 18:05, Catri
On Nov 24, 2012, at 6:05 PM, Catriona Hendry wrote:
Hi,
@ Albyn, David.. No, its not homework. Its basic groundwork for
testing
allometric relationships for a graduate project I am working on. I
read the
guide before posting, I spent half the day trying to understand how
I am
going wron
Hi,
@ Albyn, David.. No, its not homework. Its basic groundwork for testing
allometric relationships for a graduate project I am working on. I read the
guide before posting, I spent half the day trying to understand how I am
going wrong based on the advice given to others.
@Bert, David... I apolo
On Nov 24, 2012, at 4:27 PM, Catriona Hendry wrote:
Hi!
I have a question that is probably very basic, but I cannot figure
out how
to do it. I simply need to compare the significance of a regression
slope
against a slope of 1, instead of the default of zero.
I know this topic has been po
1. The model is correct : lm( y~ x + offset(x))
( AFAICS)
2. Read the posting guide, please: Code? I do not know what you mean by:
" this resulted in a regression line that was plotted perpendicular to
the data when added with the abline function."
Of course, maybe someone else will groc this.
Is this homework?
PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
albyn
On Sat, Nov 24, 2012 at 07:27:25PM -0500, Catriona Hendry wrote:
> Hi!
>
> I have a question that is probably very basic, but I cannot figure out how
> to do it. I simply need to
Hi!
I have a question that is probably very basic, but I cannot figure out how
to do it. I simply need to compare the significance of a regression slope
against a slope of 1, instead of the default of zero.
I know this topic has been posted before, and I have tried to use the
advice given to othe
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