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
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
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
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
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.
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
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
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
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,
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
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
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
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