If one knows y, x, and a, and wishes to estimate b in
y = a*x + b (+ random error presumably)
then surely the simplest procedure is
b.hat <- mean(y-a*x)
Is it not so?
cheers,
Rolf
On 09/12/11 08:09, Ben Bolker wrote:
R. Michael Weylandt gmail.com> writes:
Fit y-b w
R. Michael Weylandt gmail.com> writes:
> Fit y-b without an intercept? (which you do by adding "+ 0" or "- 1"
> to the model formula) Not sure if this is the optimal result, but it
> will give you a pretty reasonable answer.
This seems backward. The OP has the slope and wants the intercept.
>
Fit y-b without an intercept? (which you do by adding "+ 0" or "- 1"
to the model formula) Not sure if this is the optimal result, but it
will give you a pretty reasonable answer.
Michael
On Thu, Dec 8, 2011 at 10:52 AM, Alaios wrote:
> Dear all,
> I have a formula of the form
> y=ax+b
> I know
Dear all,
I have a formula of the form
y=ax+b
I know everything except b. How I can ask R to do fitting to find only the
value of b?
I already know the lm() but it always return both an intercept point (b) and
the a.
What should I do ?
I would like to thank you in advance for your help
B.R
Al
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