Hello,
I'm trying to do some non-linear regression with 2 cell types and 4 tissue
type treatments using selfStart models
Following Ritz and Streibig (2009), I wrote the following routines:
##Selfstart
expDecayAndConstantInflowModel - function(Tb0, time, aL, aN, T0){
Hi,
I've been trying to work with the gnls() function in the nlme package. My
decision to use gnls() was so that I could fit varPower and such to some of
the data. However, in working with a small dataset, I've found that the
results given by gnls() don't seem to make any sense and they
Hi Kingsford,
That's exactly what I was looking for!
Thanks.
Mike
On Thu, 22 Oct 2009, Kingsford Jones wrote:
help(gnls, pack=nlme)
hth,
Kingsford Jones
On Thu, Oct 22, 2009 at 4:36 PM, Michael A. Gilchrist mi...@utk.edu wrote:
Hello,
I've been fitting a random effects model using
Hello,
I've been fitting a random effects model using nlme to some data, but I am
discovering that the variation in my random effect is very small. As a result,
I would like to replace it as a fixed effect (i.e. essentially fit the same
model but with no random effect).
As I understand it
On Sat, 17 Oct 2009, Douglas Bates wrote:
On Fri, Oct 16, 2009 at 7:09 PM, Michael A. Gilchrist mi...@utk.edu wrote:
Hello,
I'm having problems creating and using a selfStart model with nlme.
Briefly, I've defined the model, a selfStart object, and then combined them
to make
, Dieter Menne wrote:
Michael A. Gilchrist wrote:
-
nlme(Count ~ quad.PBMC.model(aL, aN, T0),
+ data = tissueData,
+ weights = varConstPower(form =~ Count),
+ start = list( fixed = c(rep(1000, 8), -2, -2) ),
+ fixed = list(T0 ~ TypeTissue-1, aL
Hello,
I'm having problems creating and using a selfStart model with nlme. Briefly,
I've defined the model, a selfStart object, and then combined them to make a
selfStart.default model.
If I apply getInitial to the selfStart model, I get results. However, if I try
usint it with nls or
Hello,
I will start out with the caveat that I'm not a statistician by training, but
have a fairly decent understanding of probability and likelihood.
Nevertheless, I'm trying to fit a nonlinear model to a dataset which has two
main factors using nlme. Within the dataset there are two Type
Hello,
Excuse me for posting two questions in one day, but I figured it would be
better to ask my questions in separate emails. I will again give the caveat
that I'm not a statistician by training, but have a fairly decent
understanding of probability and likelihood.
As before, I'm trying
, Michael A. Gilchrist [EMAIL PROTECTED] wrote:
Wow, that's elegant and simple. It's also faster than my approach.
NB, you don't need to use close(), read.delim() closes the pipe when its
done reading.
If read.delim() close the connection in this case, it's a bug. It
should only close the connection
-
On Fri, 12 Sep 2008, Prof Brian Ripley wrote:
Why not use
con - pipe(COMMAND)
foo - read.delim(con, colClasses=numeric)
close(con)
? See the 'R Data Input/Output Manual'.
On Fri, 12 Sep 2008, Michael A. Gilchrist wrote:
Hello,
I am currently using R to run an external program and then read
Hello,
I am currently using R to run an external program and then read the results
the external program sends to the stdout which are tsv data.
When R reads the results in it converts it to to a list of strings which I
then have to maniuplate with a whole slew of commands (which, figuring
Hello,
I am wondering if it is possible to run separate lines of code within switch()
as one can do in most languages.
For example, I'd like to have switch execute a few lines of code based on the
value passed to it.
For example,
index = 1
switch(index,
command 1; command 2;
:[EMAIL PROTECTED] On Behalf Of Michael A.
Gilchrist
Sent: Tuesday, August 26, 2008 6:03 PM
To: r-help@r-project.org
Subject: [R] switch() usage
Hello,
I am wondering if it is possible to run separate lines of
code within switch()
as one can do in most languages.
For example, I'd like to have switch
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