Hello all,
Thanks for all your replies. I have studied on it some more in the meantime,
and found indeed out that what I was trying to do was not correct to begin
with. Sorry to have wasted your time, but thanks for the comments.
--
View this message in context:
http://r.789695.n4.nabble.com/H
R tries hard to keep you from committing scientific abuse.
As stated, your problem seems to me akin to
1. Given that a man's age can be modelled as a function
of the grayness of his hair,
2. predict a man's age from the temperature in Barcelona.
Your calibration relates 'abs' and 'conc'. No
FORTUNE!!!
-- Bert
On Tue, Mar 27, 2012 at 11:44 AM, Peter Ehlers wrote:
>
> R tries hard to keep you from committing scientific abuse.
> As stated, your problem seems to me akin to
>
> 1. Given that a man's age can be modelled as a function
> of the grayness of his hair,
> 2. predict a man's a
R tries hard to keep you from committing scientific abuse.
As stated, your problem seems to me akin to
1. Given that a man's age can be modelled as a function
of the grayness of his hair,
2. predict a man's age from the temperature in Barcelona.
Your calibration relates 'abs' and 'conc'. Now
On 27-03-2012, at 19:24, Nederjaard wrote:
> Hello,
>
> I'm new here, but will try to be as specific and complete as possible. I'm
> trying to use “lm“ to first estimate parameter values from a set of
> calibration measurements, and then later to use those estimates to calculate
> another set o
Hello,
I'm new here, but will try to be as specific and complete as possible. I'm
trying to use âlmâ to first estimate parameter values from a set of
calibration measurements, and then later to use those estimates to calculate
another set of values with âpredict.lmâ.
First I have a calib
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