Displaying 20 results from an estimated 100 matches similar to: "formula for degrees of freedom for nonlinear mixed model in nlme"
2003 Mar 28
1
winbind with ADS error
RedHat AS 2.1 kernel 2.4.9-e.16 with kbr5-1.2.7
I've been playing with ADS features of samba-3.0alpha21 and am having
problems getting winbind to work.
I can join the domain:
[root@asecl etc]# net ads join
Joined 'ASECL' to realm 'ASE-LRC-AD.AE.UTEXAS.EDU'
After joining the domain, I can use the other 'net ads' options of user,
group, status and info.
2017 Aug 23
2
strange nlme augpred behaviour
Dear all
I encountered strange behaviour of augPred with virtually the same data
First I made groupedData object.
> mar.g<-groupedData(rutilizace~doba|int, data=mar)
When I perform nlme on complete dataset I get an error with augPred
> fit<-nlsList(rutilizace~SSasymp(doba, Asym, R0, lrc), data=mar.g)
Warning message:
c("1 error caught in nls(y ~ cbind(1 - exp(-exp(lrc) * x),
2017 Aug 23
0
strange nlme augpred behaviour
Better posted on r-sig-mixed-models , no?
Cheers,
Bert
Bert Gunter
"The trouble with having an open mind is that people keep coming along
and sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
On Wed, Aug 23, 2017 at 5:17 AM, PIKAL Petr <petr.pikal at precheza.cz> wrote:
> Dear all
>
> I encountered strange
2013 Oct 03
2
SSweibull() : problems with step factor and singular gradient
SSweibull() : problems with step factor and singular gradient
Hello
I am working with growth data of ~4000 tree seedlings and trying to fit non-linear Weibull growth curves through the data of each plant. Since they differ a lot in their shape, initial parameters cannot be set for all plants. That’s why I use the self-starting function SSweibull().
However, I often got two error messages:
2017 Aug 23
2
strange nlme augpred behaviour
Hi
Well, yes I tried it about two weeks ago but my post did not get through as it still awaits moderator approval. I could check which column is offending but actually it is only minor nuisance, I can live with selection of columns before fitting a model. What seems to me strange is that both full dataset and only selected colums gave me identical fit results but only one works within augPred.
2017 Aug 24
0
strange nlme augpred behaviour
> On Aug 23, 2017, at 8:08 AM, PIKAL Petr <petr.pikal at precheza.cz> wrote:
>
> Hi
>
> Well, yes I tried it about two weeks ago but my post did not get through as it still awaits moderator approval.
It got through just fine. It appeared on Aug 15. It just didn't get any replies.
As I read your original question in this thread, it was not clear to me that you had
2002 Aug 28
2
sourcing a file with the plot.lme() function
I ran into a problem trying to make a plot from a file that's read using
source. Basically, I have the following code in a file "plot.R" :
library(nlme)
data(Loblolly)
fm1 <- nlme(height ~ SSasymp(age, Asym, R0, lrc),
data = Loblolly,
fixed = Asym + R0 + lrc ~ 1,
random = Asym ~ 1,
start = c(Asym = 103, R0 = -8.5, lrc = -3.3))
2006 Jul 18
2
Using corStruct in nlme
I am having trouble fitting correlation structures within nlme. I would like to
fit corCAR1, corGaus and corExp correlation structures to my data. I either
get the error "step halving reduced below minimum in pnls step" or
alternatively R crashes.
My dataset is similar to the CO2 example in the nlme package. The one major
difference is that in my case the 'conc' steps are
2013 Feb 17
1
xtable nlme
Hola a todos
Les consulto por un problema con xtable y nlme, tomando un ejemplo del
manual de nlme para obtener los resultados en latex utilizando xtable,
se puede utilizar el siguiente código, pero hay un problema y causa
error.
library(nlme)
library(xtable)
fm1 <- nlme(height ~ SSasymp(age, Asym, R0, lrc),
data = Loblolly,
fixed = Asym + R0 + lrc ~ 1,
2003 May 05
1
R-1.7.0: Rproxy.dll loadlibrary/freelibrary error (PR#2914)
Full_Name: Venkatesh Mysore
Version: R-1.7.0
OS: WindowsXP
Submission from: (NULL) (216.165.110.10)
While accessing Rproxy.dll repeatedly (using the code from the (D)COM example in
the R website) causes a failure in the 24th iteration. R-1.6.2 does NOT give
this error. This seems to be a memory management error, that might be linked to
the huge leakage difference between R-1.7.0 and R-1.6.2
2010 Sep 24
4
invalid argument for file creating
hi
I use song_title to creat a file named by song_title.I have many song
titles to create many files.but unfortunately,some of song titles
contain special characters,such as [ ,which leads the following error:
#####
Errno::EINVAL in Lyric spiderController#scrap_one_category
Invalid argument - e:/rails/lyric/public/song/e/Energy/
[ar:Energy.lrc
#####
I use the following codes to create and write
2007 May 31
1
predict.nls - gives error but only on some nls objects
Dear list,
I have encountered a problem with predict.nls (Windows XP, R.2.5.0), but I am not sure if it is a bug...
On the nls man page, an example is:
DNase1 <- subset(DNase, Run == 1)
fm2DNase1 <- nls(density ~ 1/(1 + exp((xmid - log(conc))/scal)),
data = DNase1,
start = list(xmid = 0, scal = 1))
alg = "plinear", trace =
2005 Apr 23
1
start values for nls() that don't yield singular gradients?
I'm trying to fit a Gompertz sigmoid as follows:
x <- c(15, 16, 17, 18, 19) # arbitrary example data here;
y <- c(0.1, 1.8, 2.2, 2.6, 2.9) # actual data is similar
gm <- nls(y ~ a+b*exp(-exp(-c*(x-d))), start=c(a=?, b=?, c=?, d=?))
I have been unable to properly set the starting value '?'s. All of
my guesses yield either a "singular gradient" error if they
2001 Jul 02
1
nls newbie: help approximating Weibull distribution
Hi folks,
I tried to retain the Weibull distribution using the `nls' function
and proceeding along the lines of the example provided in the
`SSweibull' help (at least I thought so):
t <- (1:200)/100
v <- pweibull(t, shape=3, scale=1)
df <- data.frame(Time=t, Value=v)
Asym <- 1.0; Drop <- 1.0; lrc <- 0; pwr <- 1
df.estimate <- nls(Value ~ SSweibull(Time,
2002 May 02
2
a question
Hi,
I have a program written in R which is good on the version 1.2, but for
the fallowing versions of R, an error always is at the same place.
That is at the level of the fallowing line:
Sur<-
getInitial(res2[m:M,2]~SSasymp(res2[m:M,1],Asymp,resp0,lrc),data=res2)
Error in eval(expr,envir,enclos):numeric envir arg not of length one
I don't know at all this langage for the instant.
2008 Jan 25
1
nlsList (nlme) error
Hi All.
I'm trying to run nlsList an getting an error that makes no sense to
me. I have accuracy and reaction time data over many trials for each
person (id)
When I use nlsList code that is virtually identical to the example in
the doc file I get the following error. I've tried everything I could
think of and can't get around it. Any ideas what I'm doing wrong?
**************
2011 Jun 10
2
Plotting NLS profiles
Hello list,
I'm trying to plot nls profiles, but the plot.profile.nls function in
R doesn't seem to accept any plot.default variables. Specifically,
I'd like to be able to change the x-axis title and the colors to black
and white. Has anyone had any luck with this?
If not, is there a way to override to plotting colors, perhaps in par()?
Thanks,
Sam
fm1 <- nls(demand ~
2001 Sep 08
1
multiple fitted curves plot
Dear Rusers,
How would I plot several (24) fitted curves (nonlinear least squares)
within a single plot? To get the parameters I use:
resff <- list()
for (s in levels(PairID)) {
resff[[s]] <- nls(Photo ~ SSasymp(Ci, Asym, lrc, c0),
subset = (PairID == s))
}
Is it also possible to plot two different groups (male, female) of curves
in the same plot, with different style lines?
2008 May 27
3
How to test significant differences for non-linear relationships for two locations
Hi List,
I have to compare a relationship between y and x for two locations. I found logistic regression fits both datasets well, but I am not sure how to test if relationships for both sites are significantly different. I searched the r site, however no answers exactly match the question.
I used Tukey's HSD to compare two means, but the relationship in my study was not simply linear. So I
2006 Oct 30
1
Random intercept-slope correlation (nlme)
Dear list members,
I am working with a multilevel growth curve, that in its simplest form goes
like follows:
Yit = Ai + Bi t + eit (the error term is assumed to follow an AR(1)
autorregressive process)
One major topic in my research is the convergence in the values of Y over
time. Thus, I am interested in the relationship between the random effects
for the intercept and the slope, and I