Ross Boylan wrote:
On Tue, 2005-06-07 at 08:36 +0200, Uwe Ligges wrote:
Ross Boylan wrote:
On Sat, Jun 04, 2005 at 07:08:56PM +0200, Martin Maechler wrote:
Ross nextPath - function(pm){ #pm is a CompletePathMaker
Ross[EMAIL PROTECTED] - [EMAIL PROTECTED](1)
Ross [etc]
If your
hi,
is it possible to create a matrix with one row and according to add a row?
in fact, at present, I'm doing an algorithm which fill a matrix.
On the web site of CRAN, the package basic is impossible to be load!
can you tell me where i can found it!
Thanks
Sabine
On Wed, 8 Jun 2005 10:37:15 +0200 (CEST) Navarre Sabine wrote:
hi,
is it possible to create a matrix with one row and according to add a
row? in fact, at present, I'm doing an algorithm which fill a matrix.
I think you are looking for
?rbind
and might also be interested in looking at An
Achim Zeileis wrote:
On Wed, 8 Jun 2005 10:37:15 +0200 (CEST) Navarre Sabine wrote:
hi,
is it possible to create a matrix with one row and according to add a
row? in fact, at present, I'm doing an algorithm which fill a matrix.
I think you are looking for
?rbind
and might also be
Le 08.06.2005 10:37, Navarre Sabine a écrit :
hi,
is it possible to create a matrix with one row and according to add a row?
in fact, at present, I'm doing an algorithm which fill a matrix.
?rbind
When you know the final size of your matrix, it is better to create a
full matrix and then
Hello to everyone!
I have built CRAN task view for genetics. For now I have not submit it
to CRAN yet and it can be accessible from:
http://www.bfro.uni-lj.si/MR/ggorjan/software/R/Genetics.html
http://www.bfro.uni-lj.si/MR/ggorjan/software/R/Genetics.ctv
I have not submitted it to CRAN, since
David == David Finlayson [EMAIL PROTECTED]
on Tue, 7 Jun 2005 12:11:25 -0700 writes:
David I am using the PAM algorithm in the CLUSTER library.
David When I allow PAM to seed the medoids using the default __build__
David algorithm things work
David well:
PaCo == Patrick Connolly [EMAIL PROTECTED]
on Wed, 8 Jun 2005 11:31:44 +1200 writes:
PaCo On Tue, 07-Jun-2005 at 04:10PM +0200, Martin Maechler wrote:
PaCo | Dan == Dan Bolser [EMAIL PROTECTED]
PaCo | ..
PaCo |
PaCo | Dan I have gone back to 2.0.0 :)
Hello!
I would like to overlay barplot(1:10) with a barplot(seq(1:5, each=2)),
indicating that 50% of each bar belongs to category X. How do I do this
in R?
Best wishes,
Sven C. Koehler
__
R-help@stat.math.ethz.ch mailing list
Dear List Members,
I need a bit help about fitting some theoretical
distributions (such as geometric, exponential,
lognormal or weibull distribution) to the following
*dry spell*, *wet spell*, *cycles (Wet-Dry or
Dry-Wet)* from my meteorological (daily rainfall) data
Have a look at the fit.dist function in Jim Lindsey's gnlm package at
http://popgen0146uns50.unimaas.nl/~jlindsey/rcode.html
fit.dist {gnlm} R Documentation
Fit Probability Distributions to Frequency Data
Description
fit.dist fits the distributions in Chapter 4 of Lindsey (1995, 2003 2nd edn):
Dear All,
I've come across a problem in predict.lme. Assigning a model formula to a
variable and then using this variable in lme (instead of typing the formula
into the formula part of lme) works as expect. However, when performing a
predict on the fitted model I gan an error messag -
Ross Boylan wrote:
I defined an S4 class with a slot i. Then I wrote a regular function
that attempted to increment i.
[... details deleted ...]
What do I need to do to update slot values?
Here are some possibly relevant code fragments
setClass(CompletePathMaker,
Hello, R users,
I applied segmented regression method contributed by Muggeo and got
different slope estimates depending on the initial break points. The results
are listed below and I'd like to know what is a reasonable approach handling
this kinds of problem. I think applying various initial
On Wed, 2005-06-08 at 12:07 +0200, Sven C. Koehler wrote:
Hello!
I would like to overlay barplot(1:10) with a barplot(seq(1:5, each=2)),
indicating that 50% of each bar belongs to category X. How do I do this
in R?
If you pass a matrix to barplot, it will stack values from the same
column
You might try rqss() in the quantreg package. It gives piecewise
linear fits
for a nonparametric form of median regression using total variation
of the
derivative of the fitted function as a penalty term. A tuning parameter
(lambda) controls the number of distinct segments. More details
On Wed, 8 Jun 2005 08:25:16 -0400 Park, Kyong H Mr. RDECOM wrote:
Hello, R users,
I applied segmented regression method contributed by Muggeo and got
different slope estimates depending on the initial break points. The
results are listed below and I'd like to know what is a reasonable
Hello!
I am performing coupling of chains in MCMC and I need the same value
of seed for two chains. I will show demo of what I want:
R code, which might show my example is:
niter - 3
nchain - 2
tmpSeed - 123
for (i in 1:niter) { # iterations
for (j in 1:nchain) { # chains
set.seed(tmpSeed)
Hi,
I'm having trouble converting code from MATLAB to R; I want to find the
equivalence to MATLAB's function 'fsolve'. I've tried 'nlm', on the
squared argument, in R but i did not get the same results.
Thankful if helped.
Best regards,
Martin Englund
Hello,
I have an excel file that I load through RODBC. Some of my columns are
blank. They are equity time series and the stocks did not exist at the
earlier dates. My problem is that the whole column becomes NA even though
there are numbers at later dates.
Here's my excel file
do you want something like this:
niter - 3
nchain - 2
rs - sample(500, niter, TRUE)
for (i in 1:niter) { # iterations
for (j in 1:nchain) { # chains
set.seed(rs[i])
a - runif(1)
cat(iter:, i, chain:, j, runif:, a, \n)
}
}
I hope it helps.
Best,
Dimitris
Dimitris Rizopoulos
On 6/8/2005 9:27 AM, Gorjanc Gregor wrote:
Hello!
I am performing coupling of chains in MCMC and I need the same value
of seed for two chains. I will show demo of what I want:
R code, which might show my example is:
niter - 3
nchain - 2
tmpSeed - 123
for (i in 1:niter) { # iterations
for (j
Hi,
I'm having trouble converting code from MATLAB to R; I want to find the
equivalence to MATLAB's function 'fsolve'. I've tried 'nlm', on the
squared argument, in R but i did not get the same results.
Thankful if helped.
Best regards,
Martin Englund
On Tue, 2005-06-07 at 21:33 -0700, Mike R wrote:
On 6/7/05, Marc Schwartz [EMAIL PROTECTED] wrote:
On 6/7/05, Gabor Grothendieck [EMAIL PROTECTED] wrote:
On 6/7/05, Liaw, Andy [EMAIL PROTECTED] wrote:
snips
Thanks Andy, Gabor and Marc.
contents of .Rprofile
.First -
On Wed, 8 Jun 2005, Lapointe, Pierre wrote:
Hello,
I have an excel file that I load through RODBC. Some of my columns are
blank. They are equity time series and the stocks did not exist at the
earlier dates. My problem is that the whole column becomes NA even though
there are numbers at
Hi Martin
optim()
should do the trick
[and this isn't in R-and-octave2.txt; I'll update when I get a minute]
HTH
rksh
On Jun 8, 2005, at 02:27 pm, Martin Englund wrote:
Hi,
I'm having trouble converting code from MATLAB to R; I want to find the
equivalence to MATLAB's function
On 6/7/05, [EMAIL PROTECTED] [EMAIL PROTECTED] wrote:
Dear R-Users,
Being an engineer and not a statistician, my desired course of action may
either be impossible or very simple.
I am attempting to fit a non-linear model to some measured data. One term in
the model contains a
If I put only one plot in a png, I can drag the generated png on the
edges and it changes its size by this. But when I put several plots
on the same sheet using mfrow, the size can no longer be changed when
viewing the file, and the resolution is bad. What do I need to do to
keep the
Dear useRs,
Given this code I end up with a list of class by:
a - sample(1:5,200,replace=TRUE)
b - sample(c(v1,v2,v3),200,replace=TRUE)
c - sample(c(11,22,33),200,replace=TRUE)
data - runif(200)
grouped - by(data,list(a,b,c),function(x) {c(min=min(x),max=max(x),
Thanks to Duncan, Dimitris as well as James for answers. I'll provide
here also example from James, which seems to be the easiest of them
all and was not posted to the list:
niter - 3
nchain - 2
for (i in 1:niter) { # iterations
for (j in 1:nchain) { # chains
set.seed(i)
a - runif(1)
The tools in setRNG are intended for this kind of problem and I do use
them regularly in much more complicated situations. They help save all
the information, in addition to the seed, that you need for reproducible
simulations. Try
niter - 3
nchain - 2
for (i in 1:niter) { # iterations
Here is a different approach to achieving what I think you want using
summarize() in the Hmisc package:
library(Hmisc)
mydata - data.frame(a = sample(1:5,200,replace=TRUE),
b = sample(c(v1,v2,v3),200,replace=TRUE),
c =
Beware that your easy trick will give you the same result every time you
run it. You need a better scheme if you actually intend to get a new
experiment each time you run it.
Paul
Gorjanc Gregor wrote:
Thanks to Duncan, Dimitris as well as James for answers. I'll provide
here also example
Hi!
I´m need a function that solves the equation f(x) = 0 (i.e. the root of
the function) when f is a nonlinear function. Is there any? I´ve tried nlm
and optim on the square of the function but the solution is very unstable.
Thanks before hand.
/ Fredrik Thuring
On Wed, 2005-06-08 at 16:46 +0200, Claude Thato Kobe wrote:
If I put only one plot in a png, I can drag the generated png on the
edges and it changes its size by this. But when I put several plots
on the same sheet using mfrow, the size can no longer be changed when
viewing the file, and
I think these are not stored by by() and they are produced inside
print.by(). One way to get them could be:
dn - dimnames(grouped)
dn - expand.grid(dn)
dn - dn[!sapply(grouped[1:nrow(dn)], is.null), ]
dn
rownames(dfr) - apply(dn, 1, paste, collapse = -)
dfr
I hope it helps.
Best,
Dimitris
On Wed, 8 Jun 2005 17:08:35 +0200 Fredrik Thuring wrote:
Hi!
I´m need a function that solves the equation f(x) = 0 (i.e. the root
of the function) when f is a nonlinear function. Is there any? I´ve
tried nlm and optim on the square of the function but the solution is
very unstable.
Look
On Wed, 2005-06-08 at 17:08 +0200, Fredrik Thuring wrote:
Hi!
Im need a function that solves the equation f(x) = 0 (i.e. the root of
the function) when f is a nonlinear function. Is there any? Ive tried nlm
and optim on the square of the function but the solution is very unstable.
Your
Have you plotted f(x)? Plot(s) might help reveal why the solution
is very unstable. If f is a function of a univariate x, this is
trivial. If f is a function of a bivariate x, use something like
contour or persp. If higher dimensions, I might use something like
fit -
That could be addressed like this (where changing the offset
changes the experiment).
offset - 123
niter - 3
nchain - 2
for (i in 1:niter) { # iterations
for (j in 1:nchain) { # chains
set.seed(i+offset)
a - runif(1)
cat(iter:, i, chain:, j, runif:, a, \n)
}
}
On 6/8/05, Paul Gilbert
David == David Finlayson [EMAIL PROTECTED]
on Wed, 8 Jun 2005 09:24:54 -0700 writes:
David Sorry, I wasn't trying to submit a bug report just yet.
the posting guide asks you to provide reproducible examples, in
any case, not just for bug reports ...
{and strictly speaking, you still
Thanks to Paul and Gabor for additional tips/examples. Actually, I find
Pauls suggestion with setRNG also nice and is exactly what I wanted.
Paul, if I understand this correctly, your suggestion with setRNG does not
alter RNG flow, it just takes care that chains really have equal seeds.
I
On 6/8/05, Marc Schwartz [EMAIL PROTECTED] wrote:
snips
Thanks Marc,
Cool ideas, thanks! Building on them, here is a twist.
With this line in .Rprofile:
.First - function() {if(Sys.getenv(R_PROJECT)!=)
source(Sys.getenv(R_PROJECT))}
R can be run with this bash command line:
## export
Here is a small variation. We define a list to hold
the last seed for each chain. Each time we enter the simulation
for a chain we use that seed and each time we exit we update it.
The loop becomes simpler since the setup is all done prior
to looping and everything else is done in the inner
On Wed, Jun 08, 2005 at 12:55:07PM -0400, Gabor Grothendieck wrote:
That could be addressed like this (where changing the offset
changes the experiment).
offset - 123
niter - 3
nchain - 2
for (i in 1:niter) { # iterations
for (j in 1:nchain) { # chains
set.seed(i+offset)
a -
Hi,
I have difficulty in installing package snow from
CRAN. Somehow, this package is not shown up in the
available package list when I tried to use the GUI
interface. So I have to go to CRAN to download the
source file: snow_0.2-1.tar.gz. Then I tried to
install it using the following command:
XLSolutions Corporation (www.xlsolutions-corp.com) is proud to
announce 2-day R/S-plus Fundamentals and Programming
Techniques at 4 locations nationwide.
www.xlsolutions-corp.com/courselist.htm
Seattle, WA - July 11th-12th, 2005
San Francisco
I think for 'snow' you need to download the source and build it
yourself. I assume you are on Windows (you didn't say!). 'snow'
depends on external programs so it would seem unwise to have a
binary package on CRAN.
-roger
Steve Adams wrote:
Hi,
I have difficulty in installing package
Please do read the FAQ Q7.8.
Once you have followed that, it should install from the sources (it does
for me). However, to make it work you need other things which are
non-trivial to get working on Windows: see
http://www.stat.uiowa.edu/~luke/R/cluster/cluster.html
for the
Le 08.06.2005 20:51, Steve Adams a écrit :
Hi,
I have difficulty in installing package snow from
CRAN. Somehow, this package is not shown up in the
available package list when I tried to use the GUI
interface. So I have to go to CRAN to download the
source file: snow_0.2-1.tar.gz. Then I tried
And a last post from Paul Gilbert. Thanks to all! This disscusion was
really beneficial for me!
-Original Message-
From: Paul Gilbert [mailto:[EMAIL PROTECTED]
Sent: sre 2005-06-08 21:01
To: Gorjanc Gregor
Subject: Re: [R] Random seed problem in MCMC coupling of chains
Gorjanc Gregor
Gorjanc Gregor wrote:
Thanks to Paul and Gabor for additional tips/examples. Actually, I find
Pauls suggestion with setRNG also nice and is exactly what I wanted.
Paul, if I understand this correctly, your suggestion with setRNG does not
alter RNG flow, it just takes care that chains really
On 6/8/05, Gorjanc Gregor [EMAIL PROTECTED] wrote:
And a last post from Paul Gilbert.
-Original Message-
From: Paul Gilbert [mailto:[EMAIL PROTECTED]
In your example it is important that you generate the same number of
random numbers in each pass through the chain. If that is not
On Wed, 2005-06-08 at 11:32 -0700, Mike R wrote:
On 6/8/05, Marc Schwartz [EMAIL PROTECTED] wrote:
snips
Thanks Marc,
Cool ideas, thanks! Building on them, here is a twist.
With this line in .Rprofile:
.First - function() {if(Sys.getenv(R_PROJECT)!=)
dyn is an R package that facilitates the use of regression
using time series data with lags and diffs (known as dynamic
regression). It is a lightweight package that has no
facilities of its own but leverages off the various time
series and regression functions in R to make it easier to
use them
MM == Martin Maechler [EMAIL PROTECTED]
on Wed, 8 Jun 2005 18:57:55 +0200 writes:
David == David Finlayson [EMAIL PROTECTED]
on Wed, 8 Jun 2005 09:24:54 -0700 writes:
David Sorry, I wasn't trying to submit a bug report just yet.
MM the posting guide asks you to provide
Hi All,
I'm new to R and would like to get started on the right
foot, so to say. So I am requesting feedback on a
paradigm for organizing R projects. In esence, I am
trying to organize my R projects in the same way I
organize my numerical simulations. But it feels like
I am imposing
In
I'm trying to plot Venn diagrams with more than 3 sets (5 actually) in order to
describe graphically the genetic variation between populations.
I tried the limma library but realised it can only plot 3 sets.
Is there any solution? Of course I could plot the chart manually but it'll take
too
I was wondering if someone familiar
with survival analysis can help me with
the following.
I would like to fit a Weibull curve,
that may be dependent on a covariate,
my dataframe labdata that has the
fields cov, time, and censor. Do
I do the following?
wieb-survreg(Surv(labdata$time,
On Wed, 08-Jun-2005 at 11:20AM +0200, Martin Maechler wrote:
| PaCo == Patrick Connolly [EMAIL PROTECTED]
| on Wed, 8 Jun 2005 11:31:44 +1200 writes:
|
| PaCo On Tue, 07-Jun-2005 at 04:10PM +0200, Martin Maechler wrote:
| PaCo | Dan == Dan Bolser [EMAIL PROTECTED]
|
| PaCo |
Hello,
Is there a package or sample code that shows how to do ex ante
forecasts with a macroeconomic structural equations model? I looked
at the sem package, which lets you estimate e.g. Klein's model, but
I'm not sure how to make simulations using the full set of equations,
including the
Hi,
I'm also wondering which expression the survreg() uses
for Weibull regression. Referring to help(survreg) and
help(survreg.distributions), I guess survreg() fits the
following model.
survreg() uses a different parametrization, say
F(x, Wshape, Wscale) = 1-exp(-Wscale*(x^Wshape))),
and
If the data you posted is prototypical of your datasets then note that:
- it has two disconnected components of 1 and 4 sets
- there are only 8 unique rows out of 32
- 5 of these 8 are the regions that contain only the non-intersecting
portion of each of the 5 sets
unique(mydata)
AA CH EA
Have you found the file Using Rmetasim? In windows you can access this file
by using the help and selecting browse directory. There appears to be a
reasonable amount of information here. It looks to me as if you need to work
your way through these files until you understand what is going on.
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