Displaying 20 results from an estimated 600 matches similar to: "R-beta: help in rsept"
2000 Jul 17
0
Réf. : image legend
I would also be very much interested in having the image.legend function in R.
The Splus image.legend uses the subplot function, which doesn't seem to be
available in R, so one can't copy the Splus function to R (otherwise it would
probably have been done already).
I greatly appreciate the flexibility of the Splus image.legend function since it
allow you to put the legend where
2000 Jul 13
2
Programming puzzle...
Dear R guru's,
I'd like to sort the columns of a matrix according to the elements in the
first row, and in case of a tie according to the second row, etc.
In case of a 3xn matrix woppa, something like
colorder _ order(woppa[1,], woppa[2,], woppa[3,])
I just cannot seem to find a way to do this for a variable number of rows,
e.g. if woppa has 10 or 15 rows I now manually cut and paste to
1997 Oct 14
1
R-beta: Private libraries
This must be a simple question but I could not find anything under the
FAQ... so here goes.
I am currently working on a (quite specific) set of functions I would like
to place in a library. But: I'd like to keep this separate from the R source
and CRAN libraries. Is there a global variable so that R searches also other
directories for sources when installing libraries? BTW, this can also be
1997 Jun 04
0
R-beta: save.plot and piecharts
Hi all,
I am not sure if someone else noticed this as well, but the combination of
piechart plots and save.plot does not work correctly. The labels and
tickmarks are plotted OK, but the piechart itself is placed somewhere else
in the figure (when using colors) or not visible at all (if not filled).
The combination with postscript("...") works, though.
Two small thingies concerning pie
1999 May 07
0
R-0.64.0 on SUN
When I try to install R-0.64.0 on my SUN (
> uname -a
SunOS ac6 5.7 Generic sun4u sparc SUNW,Ultra-5_10
)
I get after "./configure --disable-readline" and "gmake" the following
errors:
gcc -O2 -I../include -I../../src/include -c saveload.c -o saveload.o
In file included from /usr/include/sys/tiuser.h:18,
from /usr/include/tiuser.h:17,
2001 Nov 10
0
Summary: Teaching with R a quick survey.
Hi
I would like to start by thanking everyone that replied. Thank you for the
information, and for the comments about how or why you use it and thankx for
the encouragement re my talk....
Please note that I do not claim to have ellicited a reply from all users of
R, this is a quick survey not a census.
I have tried to break the responces down to the following categories:
Where: (hopefully
2003 Jul 24
1
pls regression - optimal number of LVs
Dear R-helpers,
I have performed a PLS regression with the mvr function from the pls.pcr package an I have 2 questions :
1- do you know if mvr automatically centers the data ? It seems to me that it does so...
2- why in the situation below does the output say that the optimal number of latent variables is 4 ? In my humble opinion, it is 2 because the RMS increases and the R2 decreases when 3 LVs
2002 Sep 17
1
switch (PR#2033)
Full_Name: Ron Wehrens
Version: 1.5.0
OS: Linux, Solaris, OSF alpha
Submission from: (NULL) (128.95.17.61)
Consider these two functions:
switchme <- function(type, ...) {
switch(type,
E = max(...),
V = length(...),
EII = sum(...),
VII = prod(...),
-100)
}
switchme2 <- function(type, ...) {
switch(type,
V = length(...),
EII
2002 Feb 14
1
Subsets in mclust
Dear group,
I want to use the mclust package on large data, and therefore I want to use
a subset in the initial clustering phase. From help(mclust):
k: If `k' is specified, the hierarchical clustering phase will
use a sample of size `k' of the data in the initial
hierarchical clustering phase. The default is to use the
entire data set.
m2 is a
2000 Apr 30
0
Help Need with aov()
Hi there,
I'm using R1.0.1 Windows 98.
This file contains some inputs and an aov function code. Can someone
check it for me? Somehow I got completely different answer when typing
them in R and in Splus.
Splus gives me this:
> summary( Turnip.aov )
Error: Blocks
Df Sum of Sq Mean Sq F Value Pr(F)
Residuals 3 163.7367 54.57891
Error: Plots %in% Blocks
2003 Sep 11
3
Rgui access violation
Dear All;
While using EMclust() in the mclust package, I frequently
encountered a program error. A message window popped up with the message "
Rgui.exe has generated errors and will be closed by Windows. You will need
to restart the program. An error log is be created."
> version
_
platform i386-pc-mingw32
arch i386
os mingw32
2002 Apr 15
6
two questions
The first: if I have a vector as (1,1,3,2,1,1), which is the command that
gives all the positions of the min value? From the vector of the example a
would like to obtain a new vector as (1,2,5,6) that give me all the
positions of the minimum value 1.
The second: if I have a matrix "A" and I want to obtain a new matrix
deleting a column or a row of A, what have I to do?
Thank you.
2001 Mar 04
0
streaming Vorbis info needed [was Re: annyone interested in "ogg streaming" maillinglist]
Smörk wrote:
> I think I have the same problem. I didn't managed to complie the
> "example" streamer, but if I open a url with a browser the connections
> hangs too. IIRC the old icecast send a 404 if there is no stream
> available. icecast 2 does nothing if I point to
> http://localhost:8000/wrongmountpoint, doesn't matter if I use winamp
> or a normal web
2004 Sep 12
2
Variable Importance in pls: R or B? (and in glpls?)
Dear R-users, dear Ron
I use pls from the pls.pcr package for classification. Since I need to
know which variables are most influential onto the classification
performance, what criteria shall I look at:
a) B, the array of regression coefficients for a certain model (means a
certain number of latent variables) (and: squared or absolute values?)
OR
b) the weight matrix RR (or R in the De
2003 Jan 14
3
PLS regression?
Hi all,
I would like to do some QSAR analysis (quantitative structure activity
relationship). I need to use some Partial Least Squares (PLS) regression,
but I have not seen this option on the R-project. Is it possible to do this
kind of regression on R?
thank you in advance
best regards,
olivier
[[alternate HTML version deleted]]
2017 Dec 01
1
pls in r
Hello,
I am a beginner in R, and I wonder if anyone could help me with a partial least square regression in R. I have looked up the instructions and the manual from Bjorn Mevi and Ron Wehrens. However, I think I managed to write the script correctly, but I dont understand the output on the R environment, and also how to decide on the number of components to use (from the RMSEP), and also how to
2007 Apr 18
0
[Bridge] Oops in 2.6.17.7 running multiple eth bridges
On Thu, 10 Aug 2006 23:59:56 +0200
"Peter M" <peter.mdk@gmail.com> wrote:
> The analyzer is a AMD Duron around 1200 MHz and has 128 MB of RAM.
Your trying to squeeze blood from a turnip (not tulip) by trying
to run 8 interfaces at once on that system.
> I can't remember if the crashes only comes when I'm running tcpdumps
> on several bridges at a time. But
2003 Jul 23
0
pls.pcr compared to Unscrambler
Dear R-helpers,
Has anybody ever tried to compare pls regression outputs from the pls.pcr R-package developped by Wehrens with outputs from the Unscrambler software developped by CAMO company ?
I find very different outputs and wonder if this comes from differences between methods/algorithms SIMPLS (pls.pcr) and PLS1 (Unscrambler).
Arnaud
*************************
Arnaud DOWKIW
Department of
2005 May 22
0
pls version 1.0-3
Version 1.0-3 of the pls package is now available on CRAN.
The pls package implements partial least squares regression (PLSR) and
principal component regression (PCR). Features of the package include
- Several plsr algorithms: orthogonal scores, kernel pls and simpls
- Flexible cross-validation
- A formula interface, with traditional methods like predict, coef,
plot and summary
- Functions
2005 Oct 11
0
pls version 1.1-0
Version 1.1-0 of the pls package is now available on CRAN.
The pls package implements partial least squares regression (PLSR) and
principal component regression (PCR). Features of the package include
- Several plsr algorithms: orthogonal scores, kernel pls and simpls
- Flexible cross-validation
- A formula interface, with traditional methods like predict, coef,
plot and summary
- Functions