Displaying 20 results from an estimated 900 matches similar to: "R algorithm for maximum curvatures measures of nonlinear models"
2003 Jun 02
1
Help - Curvature measures of nonlinearity
Dear colleagues,
Von Bertalanffy model is commonly adjust to data on fish length (TL) and age (AGE)
TL= Linf*(1-exp(-K*(AGE-t0)). Linf, K and t0 are parameters of the model.
One main goal of the growth study is the comparison of growth parameter estimates between sexes of the same species, or estimates from different populations.
The realibility statistical tests normally applied are highly
2007 Mar 27
1
"Groups" in XYPLOT
I'm not sure I'm barking up the right tree here, but would I need to make
use of groups to plot two separate datasets within ONE panel in xyplot? The
desired end result is a single xy plot of two separate (but similar in
values and ranges).
Full code follows, xyplot code at bottom
#########Determine Frequencies
##########coastal_slope
#needs the maptools package to read ESRI grid
2005 Apr 04
1
custom loss function + nonlinear models
Hi all;
I'm trying to fit a reparameterization of the
assymptotic regression model as that shown in
Ratkowsky (1990) page 96.
Y~y1+(((y2-y1)*(1-((y2-y3)/(y3-y1))^(2*(X-x1)/(x2-x1))))/(1-((y2-y3)/(y3-y1))^2))
where y1,y2,y3 are expected-values for X=x1, X=x2, and
X=average(x1,x2), respectively.
I tried first with Statistica v7 by LS and
Gauss-Newton algorithm without success (no
2008 Feb 27
1
dhyper, phyper (PR#10853)
Aloha all,
I know too little about what I'm about to write and hope I'm not
wasting your time.
For a class I'm teaching in archaeological data analysis, I'm trying
to put together a routine that calculates the so-called Petersen
index and, especially, confidence intervals for the index. This was
introduced to archaeologists by N.R.J. Fieller and A. Turner in an
article
2007 Oct 01
0
Clustering literature was Re: nonlinear regression
Hi
It is preferable to echo your posts to r-help, you usually get more
answers and some definitelly superb to mine.
It is also better to start a new mail if your question has nothing to do
with original subject
"Maura E Monville" <maura.monville at gmail.com> napsal dne 01.10.2007
17:44:43:
> Unluckily I do not have the privilege of practising with R all day
> long. I
2011 May 26
0
Using deriv3() in a separated nonlinear regression model
Hi all,
I'm adjusting a nonlinear regression model for data that has a categorigal
variable present. So, I can use nls() to do this considering the categorical
variable, like this
#------------------------------------------------------------
da <- expand.grid(tr=gl(2,1,la=c("tr")), x=1:12)
da$y <- 10*da$x/(3+da$x)+rnorm(da$x,0,0.1)
plot(y~x, da)
n0 <-
2012 Aug 12
0
Index Values in NbClust
Dear All,i applied "NbClust", to my data to find optimum number of clusters, and got following resultsNow, i don't know how to read these results. more precisely, i would like to know, how to see which method is more precise for my data considering these index values.your help is needed...thanks in advance
Eliza Botto
> dput(Eliza)structure(list(All.index = structure(c(2, 3, 4, 5,
2002 May 29
0
classification by nls and anova
Dear R-users,
I'd appreciate your statistical opinion on the following problem.
I'm fitting the four parameter logistic model [f(x) = a + (b - a)/(1 +
exp((c - x)*d))] to assay data.
We have a lot of samples to fit and my aim is to classify these samples
into following groups:
1. no interrelation
all results about =~ 0
too low concentration
2. only full
2005 Aug 18
0
[SPAM] - Re: How to assess significance of random effect in lme4 - Bayesian Filter detected spam
Actually, I re-read the post and think it needs clarification. We may
both be right. If the question is "I am building a model and want to
know if I should retain this random effect?" (or something like that)
then the LRT should be used to compare the fitted model against another
model. This would be accomplished via anova().
In other multilevel programs, the variance components are
2008 Feb 16
1
Evaluate function on a grid
I have a function in R^2, say
f <- function(x,y) { ...skipped }
I want to plot this function using contour, persp. wireframe, etc. I know
that the function has a global
minimum at (x0, y0)
The naive approach is to evaluate the function on the outer product of two
arrays, like this:
sx <- c(seq(-3, x0, len = 100), seq(x0, 3, len = 100)[-1])
sy <- c(seq(-3, y0, len = 100), seq(y0, 3,
2007 Oct 17
0
curly bracket in plot (reply)
I used the wrong address. This was meant as a reply to another post.
On 10/17/07 10:55, thomas.schwander at mvv.de wrote:
> Hi Jonathan,
>
> I read your post in the R-Help. Did you get rid off the problem? I'm standing inf
> ront of the same problem... If you've got an answer to me to drae a curly bracket,
> could you please be so kind to tell me who you did?
I missed
2011 Jun 07
2
gam() (in mgcv) with multiple interactions
Hi! I'm learning mgcv, and reading Simon Wood's book on GAMs, as recommended to me earlier by some folks on this list. I've run into a question to which I can't find the answer in his book, so I'm hoping somebody here knows.
My outcome variable is binary, so I'm doing a binomial fit with gam(). I have five independent variables, all continuous, all uniformly
2005 Dec 04
1
Understanding nonlinear optimization and Rosenbrock's banana valley function?
GENERAL REFERENCE ON NONLINEAR OPTIMIZATION?
What are your favorite references on nonlinear optimization? I like
Bates and Watts (1988) Nonlinear Regression Analysis and Its
Applications (Wiley), especially for its key insights regarding
parameter effects vs. intrinsic curvature. Before I spent time and
money on several of the refences cited on the help pages for "optim",
2012 Nov 05
0
Diference in results from doBy::popMeans, multcomp::glht and contrast::contrast for a lme model
Hello R users,
I'm analyzing an experiment in a balanced incomplet block design (BIB). The
effect of blocks are assumed to be random, so I'm using nlme::lme for this.
I'm analysing another more complex experiments and I notice some diferences
from doBy::popMeans() compared multcomp::glht() and contrast::contrast().
In my example, glht() and contrast() were equal I suspect popMeans()
2011 Jun 01
1
xtable with conditional formatting using \textcolor
Hello list,
I'm doing a table with scores and I want include colors to represent status
of an individual. I'm using sweave <<results=tex>>= and xtable but I can't
get a result I want. My attemps are
#-----------------------------------------------------------------------------
# code R
da <- data.frame(id=letters[1:5], score=1:5*2)
col <- function(x){
2005 Jul 28
0
Need Help About My Problem ( Dovecot / Postfix / MySQL / Postfixadmin )
Dear , Dovecot List ( Everyone )
I have some problem about dovecot/postfix/mysql
Would u like to tell me about the solution ? sir
Thank you very much for advance. Sir
Best Regards,
Pratchaya
==================================
==================================
==================================
This is my problem/error sir
1. ERROR = "" A NO
2011 Jun 02
4
Use line break at scrip but avoid line break on graphics
Hello list,
I have plots with long strings in main=, ylab= or xlab=. So, in I my script
I use break long lines to avoid lines hiden on my monitor and in sweave
document pages. I use graphics like this
plot(1, main="aaaaaaaaaaaaaaaaaaaa
bbbbbbbbbbbbbbbbbbbb")
but I would like a plot result like this
plot(1, main="aaaaaaaaaaaaaaaaaaaa bbbbbbbbbbbbbbbbbbbb")
I
2011 Aug 06
1
How set lm() to don't return NA in summary()?
Hi,
I've data from an incomplete fatorial design. One level of a factor doesn't
has the levels of the other. When I use lm(), the summary() return NA for
that non estimable parameters. Ok, I understant it. But I use
contrast::contrast(), gmodels::estimable(), multcomp::glht() and all these
fail when model has NA estimates. This is becouse vcov() and coef() has
different dimensions. Is
2011 Feb 15
1
ternary contour plot
Colin,
If your propose is to create a ternary plot with points and vectors, I think easier do this with graphics based plots instead of trellis based plots. Although, with little work you can do with trellis too. I gave you a reproducible code to put an arrow in a ternary plot. I use the function locator() to extract coordinates. The code is the following
2011 Aug 06
1
multcomp::glht() doesn't work for an incomplete factorial using aov()?
Hi R users,
I sent a message yesterday about NA in model estimates (
http://r.789695.n4.nabble.com/How-set-lm-to-don-t-return-NA-in-summary-td3722587.html).
If I use aov() instead of lm() I get no NA in model estimates and I use
gmodels::estimable() without problems. Ok!
Now I'm performing a lot of contrasts and I need correcting for
multiplicity. So, I can use multcomp::glht() for this.