[R] formula formatting/grammar for regression

BKMooney bkmooney at gmail.com
Fri Feb 27 19:01:11 CET 2009

This is just (or should be) just a simple example of what I would like to
extend to further regression - which is why I was looking for a resource on
the grammar.  

If I try:
lm(ypts ~ exp(xpts)), I only get an intercept and one coefficient.  And for
the coefficient, I am not sure where that should go?  (ie is that A or r in
the formula y=A*exp(r*x) ) 

Also, when I tried to use nls, I get an error:  
nls(ypts ~ exp(xpts))
Error in getInitial.default(func, data, mCall = as.list(match.call(func,  : 
  no 'getInitial' method found for "function" objects

If someone could please point out what I am doing wrong, or point me to a
good resource on this, I would greatly appreciate it.  


Dieter Menne wrote:
> Brigid Mooney <bkmooney <at> gmail.com> writes:
>> I am doing some basic regression analysis, and am getting a bit
>> confused on how to enter non-polynomial formulas to be used.
> ..
>> But am confused on what the formula should be for trying to find a fit
>> to y = A*exp(r*x).
> If this example is just a placeholder for "more complex than poly",
> you should check function nls which works for non-linear functions.
> However, if you really want to solve this problem only, doing a 
> log on you data and fitting a log of the above function with lm()
> is the easiest way out. Results can be a bit different from the
> nonlinear case depending on noise, because in one case weight
> are log-weighted, in the other linearly.
> Dieter
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