similar to: How do I do group wise clustering in R?

I have Windows XP Professional Version 2002 and the R-Version 2.1.1. I did cluster analysis with the cluster package and the agnes (method = ?ward?). The results are satisfactory. But the dendrogram of agnes is confused to work with the results. Is there a tool, I can get a clear arrangement of the results for the cluster analysis. For example a matrix with different numbers for each group.

I was wondering if there was an R equivalent to the two phased approach that MATLAB uses in performing the Kmeans algorithm. If not is there away that I can determine if the kmeans in R and the kmeans in MATLAB are essentially giving me the same clustering information within a small amount of error? -- View this message in context:

Dear R users, I want to generating random samples from Inverse Gaussian distribution . How can I do? and what package should I install? Thanks. Shirin [[alternative HTML version deleted]]

I know that I can get a count of histogram bins in base R with plot=FALSE. However, I'd like to do the same thing with lattice. The problem is that I've set up shingles, and I'd like to get the count within each bin within each shingle. plot=FALSE doesn't seem to do it. [[alternative HTML version deleted]]

I'm trying to read in a tab separated table with read.delim(). I don't particularly care what the row names are. My data file looks like this: start stop Symbol Insert sequence Clone End Pair FISH 203048 67173930 ABC8-43024000D23 TI:993812543 TI:993834585 255176 87869359 ABC8-43034700N15 TI:995224581 TI:995237913 1022033 1060472

Hi,all: I want to perform multiple correspondance analysis via MCA{FactoMineR}. The data is in the attachment. My code: dat<-read.delim("e:\\mydata.txt",header=T) MCA(dat,quanti.sup=7,quali.sup=1:6) Error in `[.data.frame`(tab, , i) : undefined columns selected My question: Why does the error happen? Many thanks. Best. -------------- next part -------------- An embedded and

Hi all. Sorry to bother you. I have a table like the following A B C D E F G1 0 1 1 0 1 1 G2 0 1 1 0 1 1 G3 0 0 0 0 0 1 H1 1 1 1 1 1 1 H2 1 0 1 1 0 1 H3 1 0 1 1 0 1 I already know G1, G2 and G3 belong to the same group and H1, H2 and H3 belong to the other group. I want to cluster A, B, C, D, E and F. It seems that I can't input the group information of G1-H3 into

Dear all, I want to extract rows from a data frame shown here as "test". For example: rows with with sorting PKB123 PKB22 PKB23 PKB32 CTV19 CTV20 PKB11 PKB11 > dput(test) structure(list(Name. = structure(c(1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 19L), .Label = c("CTV10", "CTV11", "CTV12",

Dear all, I have a 2 by 2 matrix and I would like to do a barplot with it. (so 2 bars with each having 2 stacks.). I would like to have one colors per stack, so 4 different colors total. The problem is that R is only given me 2 colors (the same two for the bottom stack and the same two for the top stack). Any idea how I can do to have 4 colors? (without using ggplot2 preferably) Here is my

Hello, Though Bert's and David's answers are what you should do, note that some R functions that need factors will coerce their input variables when necessary. Have you tried to run the code you haven't posted without coercing to factor? It might run... Hope this helps, Rui Barradas On 4/9/2018 6:11 PM, David L Carlson wrote: > Try the help files: > > ?factor >

? stato filtrato un testo allegato il cui set di caratteri non era indicato... Nome: non disponibile URL: <https://stat.ethz.ch/pipermail/r-help/attachments/20110828/d35f51a1/attachment.pl>

The rbind on empty and nonempty data frames behaves inconsistently. I am not sure if by design. In the first example, first row is deleted, which may or may not be on purpose: df1 <- data.frame() df2 <- data.frame(foo=c(1, 2), bar=c("a", "b")) rbind(df1, df2) foo bar 2 2 b Now if we continue: df1 <- data.frame(matrix(0, 0, 2)) names(df1) <- names(df2)

Good morning, I am analyzing a dataset composed by 364 subjects and 13 binary variables (0,1 = absence,presence). I am testing possible association (co-presence) of my variables. To do this, I was trying with cluster analysis. My main interest is to check for the significance of the obtained clusters. First, I tried with the pvclust() function, by using method.hclust="ward" and

Or add the type column first and then rbind: x <- list(A=data.frame(x=1:2, y=3:4),B=data.frame(x=5:6,y=7:8)) x2 <- do.call(rbind, lapply(names(x), function(z) data.frame(type=z, dat[[z]]))) ---------------------------------------- David L Carlson Department of Anthropology Texas A&M University College Station, TX 77843-4352 -----Original Message----- From: R-help

Dear all, I have a question concerning the ks.test() function. I tryed to calculate the example given on the German wikipedia page. xi <- c(9.41,9.92,11.55,11.6,11.73,12,12.06,13.3) I get the right results when I calculate: ks.test(xi,pnorm,11,1) Now the question: shouldn't I obtain the same or a very similar result if I commpare the sample and a calculated sample from the distribution?

I'm trying to find duplicate values in a column of a data frame. For example, dataframe (a) below has two 3's. I would like to mark each value of each row as either not being a duplicate of the one before (0), or as a duplicate (1) - for example, as in dataframe (b). In SPSS, I would simply compare each value to it's "lagged" value, but I can't figure out

Dear useRs,Is there a command or package in R to do heirarchical clustering by "modified ward method"??regardseliza [[alternative HTML version deleted]]

Hi, I'm a R beginner. I have data of this form: user_id, brand_id1, brand_id2, ..... for example: 1 , 45 , 32, 45, 23 2 , 34 4, 11, 43, 45 I'm looking for the right procedure to be able to cluster users. I am especially interested to know which functions to use at each step. I am currently able to load the data in a data frame, each row's name being the user id. #extract user

We often refer requesters to the Posting Guide and chide them for not reading it. Recently I had occasion to re-read the Posting Guide which is for all R lists not just R-help. The word "reproducible" does not appear anywhere in the guide. The closest it comes is the following suggestion: "Sometimes it helps to provide a small example that someone can actually run."

Try the help files: ?factor ---------------------------------------- David L Carlson Department of Anthropology Texas A&M University College Station, TX 77843-4352 -----Original Message----- From: R-help <r-help-bounces at r-project.org> On Behalf Of Saif Tauheed Sent: Monday, April 9, 2018 11:29 AM To: r-help at r-project.org Subject: Re: [R] convert numeric variables to factor Dear