similar to: CORRESPONDENCE ANALYSIS

I need a help in the following code. I could not find any hint at the help files m <- c( 58, 47, 51, 57, 48) plot(1:5, m, pch=19, col=1:5, axes=FALSE) axis(1, at=1:length(m), labels=LETTERS[1:5], col.axis=2) The labels A B C D E appear in this case with the red color. What I really want is that thay get the same color as the circles, but if I try the line axis(1, at=1:length(m),

I WROTE THIS FUNCTION BELOW test <- function(x, ...) UseMethod('test', x) test.data.frame = function(x, model, which, error, ...) { av <- aov(formula(model), data = x) res <- test.aovlist(av, which = which, error = error) return(res) } test.aovlist <- function(x, which, error, ...) { mm <- model.tables(x, "means") tabs <- mm$tables[-1]

I use windows xp. When trying to use the function mtrace from package debug the window that should open with the function to be debugged do not show any text at all. It shows only a part of my desktop. Does anyone know why. Is there any imcompatibility between windows xp and debug package. Thanks in advance. Enio Jelihovschi [[alternative HTML version deleted]]

We want to announce the Package ScottKnott now implemented at CRAN. The package uses the SkottKnott clustering algorithm to perform multiple comparison tests of means using the following experimental designs: Completely Randomized Design (CRD); Factorial Experiment (FE); Latin Squares Design (LSD); Randomized Complete Block Design (RCBD); Split-Plot Experiment (SPE); Split-Split-Plot Experiment

I have a very short question. Is there any possibility to give to the parameter "col.axis" of graphics function "axis" a vector value of many colors instead of just one color, otherwise is there any way around it? Thank you very much Enio Jelihovschi UESC - Brazil [[alternative HTML version deleted]]

We wish to announce the new package: fdth - Frequency Distribution Table and Associated Histogram. The package contains a a set of high level function which easily allows the user to make a frequency distribution table (fdt) and its associated plots. The fdt can be formatted in many ways which may be suited to publication. The plot (S3) can be histogram, polygons or density, which can be dealt

Dear all, I tried out the example in the help document for mca (the multiple correspondence analysis of the MASS package): farms.mca <- mca(farms, abbrev=TRUE) farms.mca plot(farms.mca) But the graphic that I get seems unfeasible to me: I cannot recognize the numbers (printed in black) because they are all overlapping and concealing each other. I don ?t dare using my own data, which

Dear All, I have a dissimilarity matrix which I happily convert to a distance object by running: X <- as.dist(Y) and I can happily now run either hclust(X) or agnes(X). So that the various bits of output are labelled correctly I would dearly like to be able to give names to the columns and rows of X, as would happen if I ran: mydata<-read.table("clipboard",header=T)

I have recently installed R v. 2.6.0. I am running Windows XP. I have done the package update as recommended by Brian Ripley. I wish to create a PDF version of a graph but I am getting the error messages: Error: Invalid font type In addition: Warning messages: 1: font family not found in PostScript font database 2: font family not found in PostScript font database I am using the standard

Dear All, a long time ago I ran a cluster analysis where the dissimilarity matrix used consisted of Dmax (or Kolmogorov-Smirnov distance) values. In other words the maximum difference between two cumulative proportion curves. This all worked very well indeed. The matrix was calculated using Dbase III+ and took a day and a half and the clustering was done using MV-ARCH, with the resultant

Dear R specialists, I have a multivariate statistics question that I want to submit to the R community (which conveys a very good statistical knowledge). I need to perform an optimal scaling based on a discrete variable and an ordinal variable. The discrete variable, Area, defines a geographical area. The ordinal variable, EducationLevel, describes the education level of individuals (the

I agree with the the comments below on "Numerical recipes". We developed some commercial software using the code and tried to get a licence. They never responded to our corresponce :-) We also mailed them fixes to some bugs !!! but never heard anything. So we threw their code away and wrote our own... it was a waste of time using the book. Kim On Thursday, 25 November 1999 6:41,

Greetings, again. This is not strictly an R question, so please feel free to ignore it if you like. My question is about the substance of correspondence analysis. Specifically, is it appropriate to use ca on a matrix of values such that the columns and/or rows are not mutually exclusive? To be more detailed: - The standard use of ca is illustrated in the example of corresp() (from MASS):

Dear R Users,I have a data set with several variables. One of these variables is the number of farms per county and I'd like to split this variable into two domains: (a) counties with fewer than 600 farms and (b) counties with 600 or more farms I've tried solving this problem for hours, but I'm new at R so I'm not getting there. if (x < 600) y <- x else z <- x didn't

Hi, Maybe you can help me. Im trying to join one NT Server 4.0 Remote Access Server to a samba PDC (2.2.2) Domain so that the users who make dial-up connections can be validated on this domain. The Windows NT Server (RAS) is joining to the domain but the users who trying to make a dial-in connection receive a message saying that they not have permission to make a dial in connection. Must I

Dear list, Working the example in Stats complements to V&R 3rd ed., I found this : > library(MASS) > library(mva) > data(farms) > plot(mca(farms,abbrev=TRUE),cex=rep(0.7,2)) # ... Works OK # Sheer curiosity ... > plot(mca(farms,abbrev=TRUE,nf=4),cex=rep(0.7,2)) Error in rep(p * X.svd$d[sec], c(n, n)) : invalid number of copies in "rep" A bit of exploration in the

bonjour, Je voudrais faire une analyse des correspondances multiples avec R. avec les repr?sentation graphiques correspondantes avec R. je ne sais pas comment proc?der .. en vour remerciant par avance Faouzi

Dear list: I have tried MASS's mca function and SAS's PROC corresp on the farms data (included in MASS, also used as mca's example), the results are different: R: mca(farms)$rs: 1 2 1 0.059296637 0.0455871427 2 0.043077902 -0.0354728795 3 0.059834286 0.0730485572 4 0.059834286 0.0730485572 5 0.012900181 -0.0503121890 6

Estimados No me resultó, describo paso a paso y adjunto base de datos str((df[,1:2]))# evaluo el tipo de variable salida data.frame': 101 obs. of 2 variables: $ alergia1 : chr "no" "no" "si" "si" ... $ parasitismo1: chr "si" "si" "si" "si" ... #esto es lo que quiero hacer library(MASS) farms.mca <-

Hello all, I've been peacefully using Samba 3 for about 3 years now, and it has done a wonderful job in my little world as domain member servers for file and print serving. Much bettetrver farms that some of my peers in the company are using. So I want to try Samba 4 and see if I can play with making it my PDC. The only problem is that when I go to make, I receive the following error: ...