?strsplit
On Sun, 4 May 2008, Georg Ehret wrote:
Dear R Usergroup,
I have the following vector and I would like to split it on ",".
How can I do this?
u
[1]
"160798191,160802762,160813395,160816017,160817873,160824082,160825247,160826925,160834272,160836257,"
Thank you in advance!
Dear R Usergroup,
I have the following vector and I would like to split it on ",".
How can I do this?
> u
[1]
"160798191,160802762,160813395,160816017,160817873,160824082,160825247,160826925,160834272,160836257,"
Thank you in advance!
With my best regards, Georg.
*
Hi
Paul Murrell wrote:
> Hi
>
>
> Andrewjohnclose wrote:
>> Hi,
>>
>> I am having trouble plotting a series of dendrograms using lattice and grid
>> code as found in Paul Murrells book R Graphics.
>>
>> This is the error message I recieve:
>>
>> Error in downViewport.vpPath(vpPathDirect(name),
Hi
Andrewjohnclose wrote:
> Hi,
>
> I am having trouble plotting a series of dendrograms using lattice and grid
> code as found in Paul Murrells book R Graphics.
>
> This is the error message I recieve:
>
> Error in downViewport.vpPath(vpPathDirect(name), strict, recording =
> recording) :
>
look at the spectrums before you do the cbind - I would not suggest letting
R wrap the data to fill in a data frame. I would suggest using something
that you "know how it acts" in the frequency domain like zero. You are
probably introducing periodicies that are not real, and I would suggest not
t
R function "spectrum" expects a time series as input. I have attached a
compressed archive with two detrended and denoised signals (txt format)
whose spectra I would like to compare.
I start out trying to generate a multivariate time series.
Please, notice the different signals length. Moreover, R
On 04/05/2008 7:39 PM, Paulo Cardoso wrote:
Is it possible to call a program (an .exe wrote in C) from R Gui? I'm
interested in interact with inputs for this program and analyze outputs with
R.
The program itself calls a input.dat file with a number of needed
parameters. Based on this input fil
Is it possible to call a program (an .exe wrote in C) from R Gui? I'm
interested in interact with inputs for this program and analyze outputs with
R.
The program itself calls a input.dat file with a number of needed
parameters. Based on this input file it produces a number of files resuming
the p
Since sending this message I have now solved the problem - needed to alter the
initial values of alpha and beta!
> From: [EMAIL PROTECTED]> To: r-help@r-project.org> Date: Mon, 5 May 2008
> 00:03:53 +0100> Subject: [R] Residual resampling for non linear reg model> >
> > > > I was attempting t
I was attempting to use the residual resampling approach to generate 999
bootstrap samples of alpha and beta and find their confidence intervals.
However, I keep getting the error message:Error in nls(resample.mp ~
cases/(alpha + (beta * cases)), start = init.values, : singular
gra
Hi
Georg Ehret wrote:
> Dear R user group,
> I wish to plot small pie-charts to specific coordinates in a e.g.
> scatter-plot:
>
> E.g.:
>> plot(rnorm(100),rnorm(100))
>> points(1,1,col="red",cex=4)
> -> I wish to put pie(c(2,3)) at the position of the red circle...
>
> How can I do this e
Hello Johannes,
Johannes Hüsing wrote:
Leonard Mada [Sun, May 04, 2008 at 07:26:04PM CEST]:
> Dear list members,
>
> Every "modern" OS comes with dozens of useless fonts, so that the
> current font drop-down list in most programs is overcrowded with fonts
> one never will use. Selecting a usef
On Sun, May 4, 2008 at 2:30 PM, Georg Ehret <[EMAIL PROTECTED]> wrote:
> Dear R user group,
> I wish to plot small pie-charts to specific coordinates in a e.g.
> scatter-plot:
>
> E.g.:
> > plot(rnorm(100),rnorm(100))
> > points(1,1,col="red",cex=4)
> -> I wish to put pie(c(2,3)) at the p
Dear R user group,
I wish to plot small pie-charts to specific coordinates in a e.g.
scatter-plot:
E.g.:
> plot(rnorm(100),rnorm(100))
> points(1,1,col="red",cex=4)
-> I wish to put pie(c(2,3)) at the position of the red circle...
How can I do this efficiently?
Thanking you and wishing you
Leonard Mada <[EMAIL PROTECTED]> [Sun, May 04, 2008 at 07:26:04PM CEST]:
> Dear list members,
>
> Every "modern" OS comes with dozens of useless fonts, so that the
> current font drop-down list in most programs is overcrowded with fonts
> one never will use. Selecting a useful font becomes a nig
Hi
I constructed a mixed-effects model from longitudinal repeated
measurements of lab values in 22 patients seperated into two groups
with the groups as fixed effect using lme. I thought about using the
jackknife procedure, i. e., removing any one subject and calculating
the fixed effect, to asses
is this a problem? are there error messages? if so could you provide
them. Try
as.matrix(yourdata). One thing you could do is create a moving average that
reduces the signals to the lowest common denominator. Could you provide
reproducable code with maybe a toy data set so anybody could have a
__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
A couple of comments on this and the original thread.
As pointed out by several posters, in a vectorized language like R one
can usually create the fastest and cleanest code by using vectorized
operations. This applies to R as well as Matlab.
That said, there are at times reasons for using code
Dear list members,
Every "modern" OS comes with dozens of useless fonts, so that the
current font drop-down list in most programs is overcrowded with fonts
one never will use. Selecting a useful font becomes a nightmare.
In an attempt to ease the selection of useful fonts, I began looking
in
I need help in interpreting some output of polymars.
The returned model by my command is:
m$model
pred1knot1 pred2 knot2 coefs SE
1 0 NA 0NA 1.3163 0.0007806758
2 1 NA 0NA -0.10904285 0.0006735827
3 1 1.193575 0NA 1.25396
DeaR list,
I'm running an external program that computes some electromagnetic
response of a scattering body. The numerical scheme is based on a
discretization with a characteristic mesh size "y". The smaller y is,
the better the result (but obviously the computation will take longer).
A
Dear Tobias,
Your observation that "When plot [the residuals from?] this model I get a
banana-shape in Normal Q-Q Plot(with open site [side?] pointing downwards),"
suggests that the residuals are negatively skewed, which in turn suggests
that using log(wt) as the response variable may have been il
Em Sex 02 Mai 2008, Deepayan Sarkar escreveu:
> On 5/2/08, Ronaldo Reis Junior <[EMAIL PROTECTED]> wrote:
> > Hi,
> >
> > I user barplot2 to make a plot bar with errors bars. In old times I
> > needed to use a sequence of segments commands to make this.
> >
> > Now I try to make the same but usin
On Sat, May 3, 2008 at 9:00 PM, Tobias Erik Reiners
<[EMAIL PROTECTED]> wrote:
> Dear Helpers,
>
> I just started working with R and I'm a bit overloaded with information.
>
> My data is from marsupials reindroduced in a area. I have weight(wt), hind
> foot
> lenghts(pes) as continues variables
Thank you for your reply.
I think I have a poor understanding of this distribution but, if I
understand your answer albeit roughly, then to get a mean of 100 I need to
select a mu and derive the sd using sqrt(2*(log(100)-mu)).
That helps a lot.
My application is in modeling/simulating failure/re
On Sun, 4 May 2008, lmbewjs wrote:
Dear R users,
I have a question about R installation under Cygwin. Which versionof R
should I download ,linux or windows? If linux ,which release should I
download? Thanks a lot!
Neither. You need to download the source tarball (R-2.7.0.tar.gz on teh
CR
Dear R users,
I have a question about R installation under Cygwin. Which versionof R should
I download ,linux or windows? If linux ,which release should I download? Thanks
a lot!
Jiansheng Wu
PhD Candidate of State Key Laboratory of Bioelectronics Southeast University,
Nanjing, 210096, Chin
Hello Helpers,
I have some problems with fitting the model for my data...
-->my Literatur says (crawley testbook)=
Non-normality of errors-->I get a banana shape Q-Q plot with opening
of banana downwards
Structure of data:
origin wt pes gender
1 wild 5.35 147.0 male
2 wil
Hi Tobias,
If you want to do inferential statistics with groups differing
systematically on the covariate, you will need to be extra careful in
your interpretation. See, e.g., Miller, G. A. & Chapman, J. P.
Misunderstanding Analysis of Covariance, Journal of Abnormal Psychology,
2001, 110, 40
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