similar to: Multi-dimensional scaling

Hi, I have tried to develop multidimensional scaling for 3D space using PCA without success, yet;-) Is there some application ready in R? Cheers, Atte

A student of mine wants to use R to do some nonmetric multidimensional scaling. According to the R FAQ, there's a package called pcurve that computes multidimensional scaling solutions, but I was not able to locate it the contrib page (I am a Windows user with R version 1.4.1). Can anyone tell me whether it is possible to do nonmetric multidimensional scaling with R, and if so, how? John

R-help, In the following loop : for(i in 1:8) { cc[[i]]<-tapply(test[,i+6],list(puntar=test$puntar),sum)/tapply(test[,5],list(puntar=test$puntar),sum) cbind.data.frame(cc[[1]],cc[[2]],cc[[3]],cc[[4]], cc[[5]],c[[6]],cc[[7]],cc[[8]]) } Is there anyway I can 'cbind.data.frame' the objects cc[[ i ]] without actually writing every single element?? In this case there are 8 but what if

Hi all I have a vector like this 2003 2002 2001 2000 1999 1998 1997 1996 106 105 106 106 105 106 101 107 How can I get it sorted right(1996....2003)? Thank you Luis Ridao Cruz Fiskiranns??knarstovan N??at??n 1 P.O. Box 3051 FR-110 T??rshavn Faroe Islands Phone: +298 353900 Phone(direct): +298 353912 Mobile: +298 580800 Fax: +298 353901

Hi all, I have a data frame in which one column(PUNTAR) is of character type. What I want is to retrieve is the frame but only with those rows matching elements of PUNTAR with a list characters (e.g c("IX49","IX48") ) Year TUR STODNR PUNTAR 1994 9412 94020061 IX49 1994 9412 94020062 IX48 1994 9412 94020063 X32 1994 9412 94020065 X23 1994 9412

Greetings, I am new to R and quite confused by the apparent inconsistency in it's behavior. My latest difficulty lies in producing eps output for use with latex. In particular, I was successful in obtaining a single figure by using: postscript("ripple1.eps",onefile=FALSE) plot(nu_set[[1]],ip[[1]]) lines(nu_set[[1]],predict(fitIp[[1]])) dev.off() ...but then I tried to place two

Dear All, I am in the somewhat unfortunate position of having to reproduce the results previously obtained from (non-metric?) MDS on a "kinship" matrix using Statistica. A kinship matrix measures affinity between groups, and has its maximum values on the diagonal. Apparently, starting with a nxn kinship matrix, all it was needed to do was to feed it to Statistica flagging that the

Hello, I'm new to samba. Trying to get it running on Solaris on Intel using NIS+. I configured it with the --with-nisplus --with-nisplus-home and --with-automount. I don't seem to be able to get authentication to work. I've created the smbpasswd file from my nis+ tables, set the perms per the docs (encryption.txt to name one) and when I try to run smbpasswd to set a password for

I'm a little less new to samba now - but having a heck of a time getting authentication to work. I'm running NIS+, configured samba with --with-nisplus --with-nisplus-home and --with-automount. Does anyone have some good nis/samba references? I'm striking out. The smbpasswd file *does* have to become smbpasswd.org_dir for samba to work. I first created the smbpasswd file using

I am a beginner in using R and I need help in the interpretation of AR result by R. I used 12 observations for my AR(2) model and it turned out the intercept showed 5.23 while first and second AR coefficients showed 0.40 and 0.46. It is because my raw data are in million so it seems the intercept is too small and it doesn't make sense. Did i make any mistake in my code? My code is as follows:

Dear R Members, I want to know a fast R function to do multidimensional integration. I used the function 'cuhre' in R2cuba library. But it takes painful time to get the answer. I would be thankful if anyone could help me out to solve this problem Thanks Niroshan -- View this message in context: http://r.789695.n4.nabble.com/Two-dimensional-integration-tp4468282p4468282.html Sent

Hi I have two arbitrarily dimensioned arrays, "a" and "b", with length(dim(a))==length(dim(b)). I want to form a sort of "corner-to-corner" version of abind(), or a multidimensional version of blockdiag(). In the case of matrices, the function is easy to write and if a=matrix(1,3,4) and b=matrix(2,2,2), then adiag(a,b) would return: [,1] [,2] [,3] [,4] [,5]

R-help I have a martix with missing values( in which I want the sample size by column) When I : apply(matrix,2,length) I get the length of the vector regardless of missing values. I can't pass an argument to length in apply. Alternatively I could ifelse ( is.na ( matrix [, "columns in matrix " ] ) , 0 , 1) Is there any easier way? Thank you

I sent a query to R-Help about the availability of nonmetric multidimensional scaling (MDS) algorithms in R. I would like to thank Tony Rossini, Jonathan Baron, Sundar Dorai-Raj, and Brian Ripley for helpful replies. The gist of the replies is that isoMDS in the MASS library provides Kruskal's method for nonmetric MDS, sammon in the MASS library provides Sammon's nonlinear mapping method

Hi, I would like to read in multi-dimensional data from a text file, i.e. "tables" with more than 2 dimensions. I have looked for a function which I can abuse for that but haven't found anything. I would appreciate it a lot if somebody gave me a hint if such functions already exist somewhere. Thanks, Werner

The reference below describes the utility of the two-dimensional Kolmogorov-Smirnow (2DKS) test for detecting relationships in bivariate data. If this test has been implemented in R I would love to know about it! Thanks, jake Garvey, J. E., E.A. Marschall, and R.A. Wright (1998). "From star charts to stoneflies: detecting relationships in continuous bivariate data." Ecology

Hello all, I have data from a csv that i need to coerce into a multi dimensional array. As you can see from my sample code i have yet to master building efficient code. I can sort of do what i want but its very cumbersome code and i know there is a better way to do it, i am just not expereinced enought yet. So for the following: #Create Data h1i1a1<-sample(1:20, 5, replace=TRUE)

Dear R list Would anyone be able to tell me whether it is possible to do "enhanced multidimensional scaling" (enhanced MDS) in R? In other words, something that goes beyond "cmdscale" by iteratively improving the fit between observed dissimilarities and inter-object distances, using the KYST algorithm (Kruskal, 1964). I have found several implementations of non-metric MDS

R-help Is there any way to specify the color of grid lines in a simple plot? par(color.tick.marks=c("grey")) plot(rnorm(10),tck=1) Thank you

R-help, I have a barplot and I wish to add standard erros (or deviations) bars to it. How? Thank you Luis Ridao Cruz Fiskiranns??knarstovan N??at??n 1 P.O. Box 3051 FR-110 T??rshavn Faroe Islands Phone: +298 353900 Phone(direct): +298 353912 Mobile: +298 580800 Fax: +298 353901 E-mail: luisr at frs.fo Web: www.frs.fo