[R] simple fit

[Rolf Turner]

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<michael.weylandt<at>  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.
>
>> On Thu, Dec 8, 2011 at 10:52 AM, Alaios<alaios<at>  yahoo.com>  wrote:
>>>   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.
>   Or:
>
>    lm (y~1,offset=a*x,data= ...)
>
> or
>
>    lm(y-a*x~1,data=...)  [not sure this will evaluate the full
> expresson on the LHS but it might]
>
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