Displaying 5 results from an estimated 5 matches for "pinh".
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ping
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?
1997 Dec 02
1
R-alpha: NextMethod in 0.50-a4
...culiar message about not
being able to find the function print.groupedData which happens to be
the function that is currently being evaluated. I tried different
forms of the call to NextMethod but to no avail.
The purpose and design of the groupedData class is described in
@InProceedings{ bate:pinh:1997,
author = {Douglas M. Bates and Jos\'{e} C. Pinheiro},
title = {Software Design for Longitudinal Data},
editor = {Timothy G. Gregoire},
booktitle = {Modelling Longitudinal and Spatially Correlated Data:
Methods, Applications and Future Directions},
year = 1997,
address =...
2001 Aug 17
1
lme: Specifying a formula
Dear list,
I am faced with the following model:
y=E+P+M+H+PxE+Error
y is a response, E and P are factors with fixed effects.
M is a random effect nested in P and H is a random effect nested in M.
PxE is interaction of P and E.
It seems that I should fit such a model with the lme function of library
nlme, but I was not able to figure out from the help page how to specify the
formula. In the
2001 Jun 06
3
HLM-like analysis in R
Greetings-
I have some data on which I need to do something like a Hierarchical
Linear Model (please bear with me, I'm only learning the technique so I
don't know yet if my language is correct). Essentially I'm analyzing data
at two levels simultaneously; data are about individuals an organizations
of which they are members.
Can someone point me toward an appropriate package in R?
2001 Mar 28
4
fitting growth curves
Dear R-list members,
Cynthia M. Jones wrote a paper (Fitting growth curves to retrospective
size-at-age data, Fisheries Research 46(2000):123-129; abstract at
http://www.elsevier.nl/gej-ng/10/19/44/70/24/37/abstract.html)where the
SAS procedure MIXED, Macro NLINMIX (Littell et. al., 1996)was used to
estimate the von Bertalanffy growth function parameters assuming that
data from the same fish are