Displaying 20 results from an estimated 1000 matches similar to: "Minimizing both AIC and df in model selection"
2008 Nov 06
2
replacing characters in formulae / models
Dear all,
How can I replace text in objects that are of class "formula"?
y="a * x + b"
class(y)="formula"
grep("x",y)
y[1]
Suppose I would like to replace the "x" by "w" in the formula object "y".
How can this be done? Somehow, the methods that can be used in character objects do not work 1:1 in
formula objects...
Many
2008 Oct 02
1
An AIC model selection question
Dear R users,
Assume I have three models with the following AIC values:
model AIC df
model1 -10 2
model2 -12 5
model3 -11 2
Obviously, model2 would be preferred, but it "wastes" 5 df compared to the other models.
Would it be allowed to select model3 instead, simply because it uses up less df and the delta-AIC
between model2 and model3 is just 1?
Many thanks for any
2008 Feb 22
3
Simultaneously summarizing many models
Dear R users,
Let?s say I have 10 models, each named m1,m2,m3..., and I would like to summarize them automatically
and simultaneously - e.g., to extract parameter estimates later on from all models; how can I do that?
I have tried:
x=1:10 #this creates some example data
y=rnorm(10)
m1=lm(x~y)
m2=lm(x~1)
sum.lms=function(x)summary(paste("m",x,sep=""))
sum.lms(1:2)
but
2009 Aug 20
1
nested, repeated measure lme
Dear all,
Suppose I have a nested, repeated measure lme model. Which of the following formulae is correct?
(assuming data are sampled from several plots in an agricultural experiment)
(1) y~explanatory.variables,random=~time|block/plot/subplot/individual
(2) y~explanatory.variables,random=~time|unique.ID.of.every.individual
I have read that (2) is the only approach that works. But how could I
2008 Nov 03
2
standard errors for predict.nls?
Dear all,
Is there a way to retrieve standard errors from nls models? The help page tells me that arguments
such as se.fit are ignored...
Many thanks and best wishes
Christoph
--
Dr. rer.nat. Christoph Scherber
University of Goettingen
DNPW, Agroecology
Waldweg 26
D-37073 Goettingen
Germany
phone +49 (0)551 39 8807
fax +49 (0)551 39 8806
Homepage http://www.gwdg.de/~cscherb1
2009 Jan 07
1
Extracting degrees of freedom from a gnls object
Dear all,
How can I extract the total and residual d.f. from a gnls object?
I have tried str(summary(gnls.model)) and str(gnls.model) as well as gnls(), but couldn?t find the
entry in the resulting lists.
Many thanks!
Best wishes
Christoph
--
Dr. rer.nat. Christoph Scherber
University of Goettingen
DNPW, Agroecology
Waldweg 26
D-37073 Goettingen
Germany
phone +49 (0)551 39 8807
fax +49
2007 Nov 08
6
Extract correlations from a matrix
Dear R users,
suppose I have a matrix of observations for which I calculate all
pair-wise correlations:
m=matrix(sample(1:100,replace=T),10,10)
w=cor(m,use="pairwise.complete.obs")
How do I extract only those correlations that are >0.6?
w[w>0.6] #obviously doesn?t work,
and I can?t find a way around it.
I would very much appreciate any help!
Best wishes
Christoph
(using R
2008 Jul 24
2
What is wrong with this contrast matrix?
Dear all,
I am fitting a multivariate linear model with 7 response variables and 1 explanatory variable.
The following matrix P:
P <- cbind(
c(1,-1,0,0,0,0,0),
c(2,2,2,2,2,-5,-5),
c(1,0,0,-1,0,0,0),
c(-2,-2,0,-2,2,2,2),
c(-2,1,0,1,0,0,0),
c(0,-1,0,1,0,0,0))
should consist of orthogonal elements (as can be shown using %*% on the individual columns).
However, when I use
2008 Nov 25
4
glm or transformation of the response?
Dear all,
For an introductory course on glm?s I would like to create an example to show the difference between
glm and transformation of the response. For this, I tried to create a dataset where the variance
increases with the mean (as is the case in many ecological datasets):
poissondata=data.frame(
response=rpois(40,1:40),
explanatory=1:40)
attach(poissondata)
However, I have run into
2008 Jun 07
1
Multivariate LM: calculating F-values after calling linear.hypothesis
Dear R users,
I am analyzing several response variables (all scaled to [0;1]) using a
multivariate linear model.
After fitting the model, I set up a hypothesis matrix to test specific
contrasts for these response variables; for example: "a always increases
significantly more than b when regressed against x".
What I am stuck with now is how to calculate the correct F-values (and
2011 Aug 19
1
Windows 7 issues with installing packages and setting library paths
Dear all,
I am forced to work in an environment without administrator rights.
When using R2.13.1 on Windows 7 (64-Bit), I found that I can?t install or update any packages due to missing writing permissions.
I managed to get full access to a directory on my C:\ drive now - but how do I specify that all libraries shall be installed into this directory?
In Rcmd_environ I have the following
2012 Jul 20
1
Creating a pdf with layers?
Dear all,
Is it possible to create a pdf file with layers using the pdf() device in R?
Many thanks for your help!
Christoph
(using R 2.15.1 on Windows 7 64-Bit)
--
PD Dr Christoph Scherber
Georg-August University Goettingen
Department of Crop Science
Agroecology
Grisebachstrasse 6
D-37077 Goettingen
Germany
phone 0049 (0)551 39 8807
fax 0049 (0)551 39 8806
http://www.gwdg.de/~cscherb1
2008 Aug 22
1
lme questions re: repeated measures & covariance structure
Hello,
We are attempting to use nlme to fit a linear mixed model to explain bird
abundance as a function of habitat:
lme(abundance~habitat-1,data=data,method="ML",random=~1|sampleunit)
The data consist of repeated counts of birds in sample units across multiple
years, and we have two questions:
1) Is it necessary (and, if so, how) to specify the repeated measure
(years)? As written,
2008 Jul 03
1
lm() question
I have data that looks like
YC Age Num
82 11 2
83 10 0
84 9 8
85 8 21
86 7 49
87 6 18
88 5 79
89 4 28
90 3 273
91 2 175
with a program
mod1=lm(log(Num+1)~YC, data=box44)
plot(log(Num+1)~YC, data=box44, pch=19, xlab="Year Class",
ylab="Loge Number at age", ylim=c(0,6), xlim=c(91,82))
abline(lm(log(Num+1)~YC), col="blue", lwd=2)
summary(mod1)
I need to
2007 May 07
4
Mardia's multivariate normality test
Dear all,
I got this error message
> library(dprep)
> mardia(Savg)
Error in cov(data) : 'x' is empty
But with the same data, I got
> library(mvnormtest)
> mshapiro.test(Savg)
Shapiro-Wilk normality test
data: Z
W = 0.9411, p-value = 0.6739
What does the error message "Error in cov(data) : 'x' is empty" mean? Thanks a lot!
Jiao
2002 Jun 26
2
MAP_ANON replacement?
Here I would like to suggest a replacement for MAP_ANON on systems which
do not have it, such as Solaris < 8. In "man mmap" of Solaris 8:
When MAP_ANON is set in flags, and fd is set to -1, mmap()
provides a direct path to return anonymous pages to the
caller. This operation is equivalent to passing mmap() an
open file descriptor on /dev/zero with
2003 Aug 06
0
R CMD check: checking for undocumented objects ... WARNING
Dear List,
I have a problem building an R package using R 1.7.1 that I cannot resolve
myself. R CMD check tells me that functions I documented properly in Rd-files
are not documented and gives a TeX error at the end, altough the Rd files
check is OK. I have three fucntions, one gets through without complaining, the
other two don't. All the docu for the example data is also OK.
I went through
2001 Sep 28
2
openssh-2.9p2, auth2.c
Even with option "HostbasedUsesNameFromPacketOnly yes", the trailing
dot in chost should be stripped before auth_rhosts2() is called from
hostbased_key_allowed().
Hans Werner Strube strube at physik3.gwdg.de
Drittes Physikalisches Institut, Univ. Goettingen
Buergerstr. 42-44, D-37073 Goettingen, Germany
Suggested change:
*** auth2.c.ORI Wed Apr 25 14:44:15 2001
---
2001 Sep 28
3
openssh-2.9p2, short hostnames
For systems where the local hostname is obtained as a short name without
domain, there should be a ssh_config option "DefaultDomain" as in ssh-3.x
from ssh.com.
For the server, there might be a corresponding option in order to strip
the domain name from the remote client name (if it matches the server's
DefaultDomain) for use in auth_rhost2, since netgroups usually contain
short
2004 May 04
1
RE: more on lm(y~x) question: removing NA´s
1. If your code actually runs, you should upgrade R, and quit using `_' for
assignment... 8-)
2. You seem to have an extraneous `]' after the na.exclude. Could that be
the problem?
Andy
> From: Christoph Scherber
>
> actually, the situation is much more complicated. I am producing
> multiple graphs within a "for" loop. For some strange reason, the
>