similar to: error using daisy() in library(cluster). Bug?

Dear all, in the coming Winter Semester, I will be a teaching assistant for a course in Survival Analysis. My job will be to do the lab sessions. The software used for these lab sessions will be R. Most of the students have a background in social sciences and the only stats package they used so far is most likely SPSS. So I assume they might be quite surprised the first time they see R

Hello! I've tried to execute an R script that I used to use with older versions with no problem. In the scrip ,I try to create a series of plots in png format, and now there is an error (my actual verion is R2.0.1) Error in title(main=main,sub=sub,xlab=xlab,ylab=ylab,...): X11 font at size 14 could not be loaded Perhaps I did something wrong with this new install? Thanks and best

Hi! I've got a map in R imported from a GIS (GRASS) as a vector of factors. So I've got 20 different levels in the map and I've created a vector of custom colors of exactly 20 colors in lenght. I'm trying to use image() (really plot.grassmeta() that call image()) to plot the map with those colors but it doesnt work and the colors are changed. I would like that all points

Hi Gabor and everybody; Thanks Gabor, with the alternative step you've told me the problem is resolved. Comparing the two procedures: Extract from the source 'character' data: > rain$ts[2039:2046] [1] "25/03/2000 22:00:00 UTC" "25/03/2000 23:00:00 UTC" [3] "26/03/2000 00:00:00 UTC" "26/03/2000 01:00:00 UTC" [5] "26/03/2000 02:00:00

Hi All - I am using the daisy function from the cluster library to create a dissimilarity matrix. I'm going to use that matrix to run a cluster analysis. My participants are identified with the variable, hhid. However, when I try to keep hhid in the dataset that I use to create the dissimilarity matrix, daisy uses it to create the matrix rather than ignoring it as an ID variable. I need to

Hi, I'm a PhD student and I want to use the function 'daisy' from the package 'cluster' to compute dissimilarities. My variables are of mixed types so I use the argument 'stand' in daisy to define the type of my variables. I have the following error message : Warning message: binary variable(s) 13, 16, 17, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,

Hello, I am running DAISY in R and using the GOWER metric since I am working with mixed variables. I am wondering if there is a way to weight the different variables. I see that there is a weight value for Gower but do not know if this is how to weight the diffrent variables with different weighting values. Please advise if there is a way to weight the different variables. Thank you. -- View

Hi, According to daisy function from cluster documentation, it can compute dissimilarity when NA (missing) value(s) is present. http://stat.ethz.ch/R-manual/R-devel/library/cluster/html/daisy.html But why when I tried this code library(cluster) x <- c(1.115,NA,NA,0.971,NA) y <- c(NA,1.006,NA,NA,0.645) df <- as.data.frame(rbind(x,y)) daisy(df,metric="gower") It gave this

Hi all; I've already send a similar e-mail to the list and Prof. Brian Ripley answered me but my doubts remain unresolved. Thanks for the clarification, but perhaps I wasn't clear enough in posting my questions. I've got a postgres database which I read into R. The first column is Timestamp with timezone, and my data are already in UTC format. An 'printed' extract of R

Hi, I'm trying to apply the function daisy() to a data.frame 10000x10 but I have not enough space (error message: cannot allocate vector of length 1476173280). I didn't imagine I was not able to work with a matrix of just 10000 observations... I have setted in Rgui --max-mem-size=2G (I'm not able to set more space..) How can I solve this issue? Separating observations depending on

Dear R-helpers, First of all, a happy new year to everyone! I succesfully used the daisy function (from package cluster) to find which two rows from a dataframe differ by only one value, and I now want to come up with a simpler way to find _which_ value makes the difference between any such pair of two rows. Consider a very small example (the actual data counts thousands of rows): input

Hi, I have two groups, and I want to find the dissimiarity between the members of the two groups. Since I have mixed level variables on the members, I opt for the daisy function in the cluster package. Let's pretend that the following represent my groups: x <- data.frame(sex=factor(c(1,0,0,1,0,1), levels=0:1, labels=c('Male','Female'), ordered=FALSE),

Hello Everyone, Since rebooting my Centos 6.10 Openvz server "daisy" yesterday, I am getting horrible system performance.? /var/log/messages is full of HDIO_GET_IDENTITY failed for /dev/sdb.? The latest entries look like this: Apr 22 08:51:32 daisy kernel: [141224.655699] CT: 1005: stopped Apr 22 08:55:04 daisy ata_id[21513]: HDIO_GET_IDENTITY failed for '/dev/sdb' Apr 22

>> Hello Everyone, >> >> Since rebooting my Centos 6.10 Openvz server "daisy" yesterday, I am >> getting horrible system performance.? /var/log/messages is full of >> HDIO_GET_IDENTITY failed for /dev/sdb.? The latest entries look like >> this: >> >> Apr 22 08:51:32 daisy kernel: [141224.655699] CT: 1005: stopped >> Apr 22 08:55:04

Dear Rhelp,   I did a daisy on 5 lifestyle variables, 3 of which were nominal and 2 were ordinal and assigned types “nominal” and “ordinal” for the variables, respectively.  I got an output indicating their types as “I” for interval(?). Doing it on the Rdata example “flower” gave the same types in the output as the types they were assigned to.  Why is this so? Below are the codes and outputs.  

I am using DIANA/DAISY/GOWER. Some of my categorical data include NULLS. When assessing disimilarity, these NULLS are considered similar. I do not want these NULLS to contribute towards similarity. Instead is there a way for these NULLS to each be considered different so as to contribute to disimiliarity and not simillarity? Also, I do not want to change these NULLS in the data as I need them for

Dear All, i am developing an application with rails 3, and now i need to generate a pdf file,i search a lot, and try a lot ,such as prawn ,PDFkit and so on, it seems that prawn is no response in rails3, and when i use PDFKit, it asked me to install wkhtmltopdf first, i try to install this,but failed, anyone can help me ? Thanks very much. Daisy -- Posted via http://www.ruby-forum.com/. --

http://bugs.freedesktop.org/show_bug.cgi?id=10933 Summary: nouveau defaults to first graphics card in system even when xorg instructed differently Product: xorg Version: 7.2 Platform: Other OS/Version: Linux (All) Status: NEW Severity: normal Priority: medium Component: Driver/nouveau

I am currently using the function daisy in package cluster to create a dissimilarity matrix because my multivariate dataset contain missing data and variables of various types including factors, symmetric and asymmetric binary and quantitative. This is a step prior to using pco within ecodist. There is a warning which comes twice ">NAs introduced by coercion" I've used

I am having difficulty getting the dynamic tree cut package to work. Given the data table "myddtable" LengthPlaceColorAge5HRed224ABlue205WGreen243GRed222GBlue236WGreen255ARed194H Blue23 I created a similarity matrix using DAISY and Gower metric and specified Place and Color columns as characters (since they are categorical variables) > dd.daisy<-daisy(myddtable, metric =