(Apologise for re-sending. I am re-sending in case subject name did not give
enough information. Any shared experience with lme is deeply appreciated)
Dear all,
Â
I have data from the following experimental design and trying to fit a mixed
model with lme function according to following steps
You did not get any replies because this is largely off topic. Please
stop posting here and post to the r-sig-mixed-models list instead.
-- Bert
On Fri, Mar 1, 2013 at 9:33 AM, KAYIS Seyit Ali s_a_ka...@yahoo.com wrote:
(Apologise for re-sending. I am re-sending in case subject name did not
Greetings,
Any suggestions for approaching the fitting of the function
y = b/exp(a*x) + c*x + y0
where a, b, c, and y0 are unknown constants and y and x are variables in a
give dataset.
Thanks
Tony
[[alternative HTML version deleted]]
Hi Tony,
?nls
Cheers,
Tsjerk
On Feb 15, 2012 8:03 PM, Anthony Fristachi antak...@gmail.com wrote:
Greetings,
Any suggestions for approaching the fitting of the function
y = b/exp(a*x) + c*x + y0
where a, b, c, and y0 are unknown constants and y and x are variables in a
give dataset.
I have a data set and I want to procedure to model fitting (e.g., Poisson,
Gausian, binomial, quasipoisson etc.). I'd like to know if there is an
easier way to do this in R.
Thank you in advance.
--
Atenciosamente,
Diogo Borges Provete
==
Biólogo
Mestre em Biologia
Diogo B. Provete wrote:
I have a data set and I want to procedure to model fitting (e.g., Poisson,
Gausian, binomial, quasipoisson etc.). I'd like to know if there is an
easier way to do this in R.
Easier than what ?
There is no shortage of R functions and packages to fit almost any type
of
On Tue, 2009-06-23 at 14:18 -0400, Paul Simonin wrote:
Hello R Users,
I have a question regarding fitting a model with GAM{mgcv}. I have data
from several predictor (X) variables I wish to use to develop a model to
predict one Y variable. I am working with ecological data, so have data
Hello R Users,
I have a question regarding fitting a model with GAM{mgcv}. I have data
from several predictor (X) variables I wish to use to develop a model to
predict one Y variable. I am working with ecological data, so have data
collected many times (about 20) over the course of two years.
Hi all,
I'm doing nonlinear regressions on data with several factors. I want to fit say
a logistic curve with different parameter values for each factor level. So I'm
doing something like:
tmp - by( myData, list(myFactor1, myFactor2), function(x) nls(...) )
It works fine. However, I could not
On 06/05/2009 8:22 AM, xavier.char...@free.fr wrote:
Hi all,
I'm doing nonlinear regressions on data with several factors. I want to fit say
a logistic curve with different parameter values for each factor level. So I'm
doing something like:
tmp - by( myData, list(myFactor1, myFactor2),
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