> On Jan 5, 2016, at 12:01 PM, Bojana Dinic wrote:
>
> najpre, srecna Nova godina i sve najbolje tbi i tvojoj porodici. Nadam se da
> ces se za praznike lepo odmoriti.
> Mene su vec zadesile neke obaveze, pa sam htela da te pitam da li znas neki
> paket, makro,
Hello!
Can anyone give me advice on running Hierarchical Cluster Analysis on large
datasets? For example, 8x1. Calculating distances on such a
dataframe seems impossible even on very powerful computer.
Also, any other advice that would lead to reduction of dimensionality,
i.e.,
Hello!
I have a very large matrix of results: 5x10. I saved it as RDS, but I
would also need to save it as txt or csv. Is there a way to do it? Now, with
write.table I am receiving an error:
Error in .External2(C_writetable, x, file, nrow(x), p, rnames, sep, eol, :
long vectors not
Hello,
On Oct 29, 2013, at 10:16 PM, Prof Brian Ripley rip...@stats.ox.ac.uk wrote:
On 29/10/2013 20:42, Rui Barradas wrote:
Hello,
You can use the argument to write.csv or write.table append = TRUE to
write the matrix in chunks. Something like the following.
That was going to be my
Hello!
I am using relatively simple linear model. By applying fastbw() on ols()
results from rms package I would like to get subtable Approximate Estimates
after Deleting Factors. However, it seems this is not possible. Am I right? I
can only get coefficients for variables kept in the model
Hello ALL,
I just started to use segmented package for some piecewise linear fitting
problem. However, author noted: The package is not concerned with estimation
of the number of the breakpoints. Although the BIC has been suggested, in
general nonstatistical issues related to the understanding
that particular effect. Then, the same for the
second interaction numericB:factorA. Unfortunately, I am not sure that
my thoughts would pass sanity check.
Can you comment, please?
Many thanks again! Best,
Petar
On 02/10/12 20:36, Petar Milin wrote:
Hello!
Can anyone give a tip how to plot parametric
Hello!
Can anyone give a tip how to plot parametric effects in an Generalized
Additive Model, from mgcv package?
Thanks,
PM
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R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide
Hello!
I am struggling for quite some time with proper printing of local
characters in pdf plot, via Sweave snippets in Rnw file.
When I am working directly within R, all is fine and I can get local
character properly, like:
pdf('figs/fig-relativeEntropy0.pdf', h=6, w=6, encoding='CP1250')
\u010dina (open-sea)'
Duncan Murdoch
On Fri, 2012-09-14 at 08:17 -0400, Duncan Murdoch wrote:
On 14/09/2012 7:07 AM, Petar Milin wrote:
Hello!
I am struggling for quite some time with proper printing of local
characters in pdf plot, via Sweave snippets in Rnw file.
When I am working
Hello ALL!
Some times ago I started to learn and play with Bayesian stuffs. Many
advice use of WinBUGS for Bayesian inference Using Gibbs Sampler.
However, WinBUGS is discontinued, and now, development is under
OpenBUGS. I wasn't lazy, so I installed both and tried out. In more than
90% of cases
Dear all!
Sometimes, when using plain lm(), if I have highly correlated numeric
predictors (covariates), I firstly ran lm() to get residuals of one from
the other. This way, they became uncorrelated (orthogonal), and I can
check if the residualized one contributes to prediction, over and above
the
Hello ALL!
I am running Fedora 16 x86_64. Due to some dubious problems with the
TeXLive (2007, which is a default), I removed it. That removed R as
well, and some other dependent packages. Then, I installed TeXLive 2011
from CTAN. However, when I wanted to install R, from Fedora's
repositories, it
, but placing a symbolic link at /usr/share/texmf,
pointing at /usr/local/texlive/2011 might do the trick. It's a bit of a hack,
but that often works for me.
Best,
Randy
On Apr 18, 2012, at 7:31 AM, Petar Milin wrote:
Hello ALL!
I am running Fedora 16 x86_64. Due to some dubious
Hello ALL!
I am running Linux, Fedora 15 64-bits, and R on it. I need to use
WinBUGS and R2WinBUGS, but as far as I read, WinBUGS is closed project,
to be continued with/as OpenBUGS. Thus, I have found R2OpenBUGS on
OpenBUGS Contributed Code (http://openbugs.info/w/UserContributedCode),
not on
Hello useRs!
Recently, I migrated from Debian i386 to Fedora 15 64-bit, after a long
and happy experiences with Debian distributions (first Ubuntu, later
Debian itself). I installed R with yum install R, and then necessary
packages. Everything seems to work fine, for now, except that exporting
be in src/. What should be done if one wants to prepare for CRAN?
Thanks!
Best,
Petar
--
#
Petar Milin
Department of Psychology, University of Novi Sad, Serbia
Laboratory for Experimental Psychology, University
!
Petar
On 03/06/11 22:32, Uwe Ligges wrote:
On 03.06.2011 21:46, Petar Milin wrote:
Hello!
I am truing to compile an R-package having c-code. I put foo.c in src/
folder and useDynLib(foo)
Where foo is the name of your package, I hope.
Does R CMD INSTALL yourpackage generate a packagename.so
Hello ALL!
I am an Linux user (Debian testing i386), with very dusty
Win-experience. Nevertheless, my colleagues and I are making some
package in R, and I built C-routines to speed up things.
I followed instruction how to compile C for R (very useful link:
Hello!
Very often one can hear that MDS usually ends with two-dimensional
solution. Of course, there are methods, like Scree-test (proposed by
Kruskal and Wish, 1981), to determine optimal number of dimensions.
However, I am trying to find references to this two-dimensional
gold-standard. Can
Hello!
I wonder how can one get upper and lower limits of a prediction interval
-- exact values? They are shown on caterpillar plot using ranef() with
argument postVar=TRUE, but I would like to know them. A while ago, some
discussions were opened on Confidence Intervals for Random Effect
Hello!
Can anyone explain me what solve() function does: Gaussian elimination
or iterative, numeric solve? In addition, I would need both the Gaussian
elimination and iterative solution for the course. Are the two built in R?
Thanks!
PM
__
Hello!
I dunno why, but I cannot make randtes.coinertia() from ade4 package
working. I have two nice distance matrices (Euclidean):
dist1
1 2 3 4 5 6 7
2 2.5776799
3 1.7892825 1.0637487
4 1.0557991 2.4270728 2.0626604
5 1.6745483
Hello!
I dunno why, but I cannot make randtes.coinertia() from ade4 package
working. I have two nice distance matrices (Euclidean):
dist1
1 2 3 4 5 6 7
2 2.5776799
3 1.7892825 1.0637487
4 1.0557991 2.4270728 2.0626604
5 1.6745483
Hello!
I need to find a simple scalar value:
Scal = ((1/R) - T) / (P - T),
where R, T, and P are vectors in a data.frame.
Please, can anyone tell me how to solve that in R?
Best,
PM
__
R-help@r-project.org mailing list
11:48, Petar Milin wrote:
Hello!
I need to find a simple scalar value:
Scal = ((1/R) - T) / (P - T),
where R, T, and P are vectors in a data.frame.
Please, can anyone tell me how to solve that in R?
Best,
PM
__
R-help@r-project.org mailing list
https
(test_data))
abline(0,1)
It is helpful to assess the sampling variability, by
creating repeated sets of test_data, and plotting
all of these along with your observations to create
a confidence envelope.
The SuppDists provides Inverse Gauss.
On Thu, Sep 17, 2009 at 11:46 AM, Petar Milin pmi
Thanks all! I did not want to cause any trouble and, God forbid,
offense. I thought, I asked a simple question to improve my
understanding and R-skills.
It seems that there ain't single gospel truth about QQs. :-)
Thanks, again!
Best,
PM
Juliet Hannah wrote:
I think it's helpful to show the
Hello!
I am trying with this question again:
I would like to test few distributional assumptions for some behavioral
response data. There are few theories about true distribution of those
data, like: normal, lognormal, gamma, ex-Gaussian
(exponential-Gaussian), Wald (inverse Gaussian) etc. The
(ols2), above), error message
returns:
Error in predictDesign(fit, adj, type = x, non.slopes = non.slopes)
could not find function Varcov
Best,
PM
Frank E Harrell Jr wrote:
Petar Milin wrote:
I would like to have a line on this plot, instead of two points:
x1 = rnorm(100, 10, 2.5)
x2
Sorry, I hope this will be the last (for now, at least).
Following your advices, I did:
n - 100
anxiety - c(rnorm(n, 10, 2.5), rnorm(n, 26, 3.2),
rnorm(100, 25, 3.1), rnorm(100, 10, 2.6))
m.status - c(rep('married', n*2), rep('not married', n*2))
gender - c(rep('male', n), rep('female',
Hello ALL!
I have a problem to plot factor (lets say gender) as a line, or at least
both line and point, from ols model:
ols1 - ols(Y ~ gender, data=dat, x=T, y=T)
plot(ols1, gender=NA, xlab=gender, ylab=Y,
ylim=c(5,30), conf.int=FALSE)
If I convert gender into discrete numeric predictor, and
Hello ALL!
Can anyone tell me how to specify qqmath() function with distribution
qgamma?
In help it is bit vague how to pass shape and scale parameters for gamma.
Thank you in advance. Best,
PM
__
R-help@r-project.org mailing list
))
Is that correct?
(gammafit() from mhsmm package calculates parameters of gamma function)
Thank you, again. Best,
PM
Duncan Murdoch wrote:
On 9/4/2009 8:36 AM, Petar Milin wrote:
Hello ALL!
Can anyone tell me how to specify qqmath() function with distribution
qgamma?
In help it is bit vague how
Hello!
I recently switched to Debian testing OS and explanation at the:
http://cran.at.r-project.org/bin/linux/debian/
is a little bit fuzzy. Can anyone give step-by-step how-to have updated
R on Debian testing and/or unstable.
Thanks in advance!
PM
__
Hello!
I have posted this message before, but no answer. Now, after a few
upgrades, I still have the same warning messages. I am a bit worried,
since I do not know does this affect or could affect R. I use R under
Linux (Ubuntu 6.06).
After start, and after loading few libraries, I got
Hello!
Recently I updated my R and all packages, under Linux (Ubuntu 6.06).
After that, I started to receive warning messages:
1: In namespaceImportFrom(self, asNamespace(ns)) :
replacing previous import: cov2cor
2: In namespaceImportFrom(self, asNamespace(ns)) :
replacing previous import:
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