similar to: R-beta: problem with cmdscale in rseptbeta for W95

Displaying 20 results from an estimated 800 matches similar to: "R-beta: problem with cmdscale in rseptbeta for W95"

1997 Oct 24
0
R-beta: Problem with cmdscale on R for W95
I'm using rseptbeta for w95, I tried to do: > library(mva) > data(eurodist) > cmdscale(eurodist) Error in .C("dblcen", x, as.integer(n)) : C/Fortran function not in load table > how can I solve this problem? Andrea Rossetti _______________________________________________________ Statistica & Informatica per la Gestione delle Imprese | Universit? degli Studi di
1997 Oct 17
1
R-beta: memory problem vith "dist" on W95
Using Rseptbeta for Windows 95 I encountered this problem: > library(mva) > data(quakes) > dist(quakes) Error: memory exhausted I'm using a pentium 133 with 32 MB ram memory! What I must to do? Thanks and excuse me for my english! Andrea Rossetti, rossetti at stat.unipg.it _______________________________________________________ Statistica & Informatica per la Gestione delle
1997 Dec 10
0
R-beta: Re: problem vith "cmdscale" on W95
I'm using the WINDOWS 95 version of R (with midified menu "exe.zip"): I tried to do library(mva) data(quakes) quakes<-quakes[sample(seq(1:1000),100),1:5] cmd.dsq<-cmdscale(dsq) Error in .C("dblcen", x, as.integer(n)) : C/Fortran function not in load table how can I solve this problem? -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-
1997 Oct 18
0
R-beta: documentation
I'm using W95 rseptbeta how can I find documentation for: * eda, * mva, * spline, * survival4, libraries? Andrea Rossetti _______________________________________________________ Statistica & Informatica per la Gestione delle Imprese | Universit? degli Studi di Perugia (Italia) | iiasc home page: http://www.stat.unipg.it |
1997 Oct 16
4
R-beta: Time Series Analysis
I have just downloaded rsept.zip and rseptbeta.zip for Windows 95 and I think that is a GREAT product. 1st: I want to know the differences between them. 2nd: I'm interested very much in time series analysis, but watching the html help there is not any function (for ex. like the S-Plus functions acf pacf and arima functions etc). If there is some pacages to plug-in with documentation
1997 Oct 16
4
R-beta: Time Series Analysis
I have just downloaded rsept.zip and rseptbeta.zip for Windows 95 and I think that is a GREAT product. 1st: I want to know the differences between them. 2nd: I'm interested very much in time series analysis, but watching the html help there is not any function (for ex. like the S-Plus functions acf pacf and arima functions etc). If there is some pacages to plug-in with documentation
1997 Dec 03
0
R-beta: generate a dll for R for win95
Hi, I've just downloaded a fracdiff.tar.gz (package for arima(p,d,q) modelling) I would like to plugh-in to R for windows 95 (rsept), how can I make a "*.dll" from the fortran code to put into "lib" directory, and a "library file" to put into "library" directory? Please help me I'm very interested in the arima modelling. Andrea Rossetti.
1997 Nov 16
0
R-beta: documentation?
Hi I'm an R for windows 95 user, where can I find documentation for "splines", "survival4", "eda" and "mva" packages? Andrea Rossetti. _______________________________________________________ Statistica & Informatica per la Gestione delle Imprese | Universit? degli Studi di Perugia (Italia) | iiasc home page: http://www.stat.unipg.it
2014 Nov 06
1
limit of cmdscale function
Hi We have a few questions regarding the use of the "isoMDS" function. When we run "isoMDS" function using 60,000 x 60,000 data matrix, we get the following error message: ------------------------------------ cmdscale(d, k) : invalid value of 'n' Calls: isoMDS -> cmdscale ------------------------------------ We checked the source code of "cmdscale" and
2004 Mar 15
1
spearman rank correlation problem
Hello R gurus, I want to calculate the Spearman rho between two ranked lists. I am getting results with cor.test that differ in comparison to my own spearman function: > my.spearman function(l1, l2) { if(length(l1) != length(l2)) stop("lists must have same length") r1 <- rank(l1) r2 <- rank(l2) dsq <- sapply(r1-r2,function(x) x^2) 1 - ((6 * sum(dsq))
1998 Jan 28
1
R-beta: executable problem
I downloaded the rseptbeta.zip and exe.zip files for Windows (I'm running Win 95 4.00.950a) about three weeks ago and until now had been very impressed. Today the executable rsept.exe (dated 10/29/97) went strange. It would open a window and immediately close the window (I've seen this before when inadvertently trying to open certain non-windows applications within windows). Here is
2005 Jan 08
0
cmdscale problem
Dear R developers, there appears to be a small problem with function cmdscale: for non-Euclidean distance matrices, using option add=FALSE (the default), cmdscale misses the smallest eigenvalue. This affects GOF statistic g.1 (See Mardia, Kent + Bibby (1979): Multivariate Analysis, eq. (14.4.7). The corresponding formula in Cox + Cox (2001): Multidimensional Scaling, 2nd ed., p 38, would
2002 Feb 15
1
cmdscale k=1
In applying multidimensional scaling, it seems to me that sometimes the underlying dimensionality of the matrix is 1. However I found a case where cmdscale failed when I tried k=1. Here it is: m<-matrix( c(.5,.81,.23,.47,.61, .19,.5,.06,.17,.28, .77,.94,.5,.74,.85, .53,.83,.26,.5,.64, .39,.72,.15,.36,.5), nrow=5) # BTW I think cmdscale uses only the lower triangle--how to enter only # that
2003 Oct 07
0
NaN values returned by cmdscale
Hello all, I'm using R1.7.1 on Linux, generating sammon-optimized MDS plots from distance matrices. This is a calculation I run routinely, often on sample sets of up to 100 samples. This time, with three samples, the sammon function returned an error (shown below), which I tracked down to the cmdscale function it uses to find a starting configuration. In short, cmdscale is returning NaN
2007 Jun 14
2
Difference between prcomp and cmdscale
I'm looking for someone to explain the difference between these procedures. The function prcomp() does principal components anaylsis, and the function cmdscale() does classical multi-dimensional scaling (also called principal coordinates analysis). My confusion stems from the fact that they give very similar results: my.d <- matrix(rnorm(50), ncol=5) rownames(my.d) <-
2007 Jul 23
2
cmdscale question
Hi. I know matrices that use distances between places works fine when using cmdscale. However, what about matricies such as: A B C D E A 0 1 23 12 9 B 1 0 10 12 3 C 23 10 0 23 4 D 12 12 23 0 21 E 9 3 4 21 0 i.e. matrices which do not represent physical distances between places (as they would not make sense for real distances such as the one above)
2001 Dec 18
0
cmdscale: labels missing (PR#1220)
The function cmdscale tries to copy names from the source to the result. This only works if the source is a matrix. If m is a matrix with labels (rownames) and d is an object of class "dist" with labels, this works: cmdscale(m) ...but with this, there are no labels in the results: cmdscale(d) However, this works: cmdscale(as.matrix(d)) My suggestion is to change, in
2013 Apr 09
0
How does clusplot exactly make use of cmdscale?
Dear people, I used clusplot to plot a partition result. The partition result was from pamk with a distance object as input. Then I applied cmdscale on the same distance object for coordinates to make another scatterplot. My problem is this: the coordinates from the cmdscale calculation, though with the same shape, were different in scale and rotation from the scatter plot yielded by clusplot.
2002 Nov 23
0
Intermittant hang in cmdscale (PR#2323)
Full_Name: Cam Webb Version: 1.6.0 (fink X11 compile) OS: Mac OS X (Jaguar) Submission from: (NULL) (64.168.28.87) This is an unpredictable, intermittant hang during cmdscale of the mva library. Some data never cause a problem, other data always do, abut I can't track down the difference in the structure of the data. Sometimes the function will work for `difficult' data after it has
2008 Dec 10
1
convert dataframe to matrix for cmdscale
I have a dataframe like this (toy example): x y z "a" "a" 0 "a" "b" 1 "a" "c" 2 "b" "a" .9 "b" "b" 0 "b" "c" 1.3 "c" "a" 2.2 "c" "b" 1.1 "c" "c" 0 The observations are from a matrix like this: c 2.2 1.1 0.0 b 0.9 0.0