similar to: cluster analysis: predefined clusters

Dear list, I try to compare the mean of a variable given a value of a factor with the mean of the same variable for all K-1 other non-missing values of this factor. This procedure I want to repeat for each level of the factor. Having read the recommendations of this list I want to avoid creating K-1 dummy variables and searched for options of the pairwise.t.test. But couldn't find a

Hi,   I have a hierachical code system such as the example below (the printed data are easiest to read). I would like to write a function that returns an 'imputed' data frame, ie. where the the parent values are calculated as the sum of the child values. So, for instance, STAT.01.01.06  is the sum of STAT.01.01.06.01 through STAT.01.01.06.06. The code I have written uses two for loops,

Agenda for the meeting of July 15 @ 11:00 am (EST): - Loop-Hierachical IR Representation Design (Michael Kruse) - Status Updates -------------- next part -------------- An HTML attachment was scrubbed... URL: <http://lists.llvm.org/pipermail/llvm-dev/attachments/20200713/44b826a0/attachment.html>

Le 27/09/16 ? 16:17, Kasper Daniel Hansen a ?crit : > As a package author, it is in my opinion irresponsible to override these > system settings (which is why it is also impossible). You have no idea > what system it is being deployed on, as the it guy dedicated to install and maintain softs on our cluster I have a reasonable knowledge of the systems I work on. I don't want to

Hi, In the article Hierachical token bucket theory says that "Just look at the self feed list and select the nonempty slot (one with a line) with lowest level and highest prio." Then I wonder that if the highest priority class is always in the "CAN SENT" mode, the other classes will have less opportuinity to send packet? Becase they have to wait the hightest priority class

Dear r-helpers! I want to classify my vegetation data with hierachical cluster analysis. My Dataset consist of Abundance-Values (Braun-Blanquet ordinal scale; ranked) for each plant species and relev?. I found a lot of r-packages dealing with cluster analysis, but none of them is able to calculate a distance measure for ranked data. Podani recommends the use of Goodman and Kruskals' Gamma for

I get tables with millions of rows. For plotting to a screen-size jpg, obviously just about 1000 points are enough. Instead of feeding plot() the original millions of rows, I'd rather shrink the original dataframe, using some kind of the following interpolation: -- split dataframe into chunks of N rows each, e.g. 1000 rows each -- compute average for each column -- issue one new row

Hi, I'm trying to perform a hierachical, second order CFA. That's the thing that I need to leave AMOS. I found some sim.hierarchical and omega stuff, but nothing clear enough. Can anyone help me? I just need a simple and clear manual. Best, Pablo. [[alternative HTML version deleted]]

Hi. I am wondering if anybody has studied and/or written code in R to calculate the distance between 2 "trees". For example, if one does a hierarchical agglomerative clustering and say, a hierachical divisive clustering (represented as trees) and wishes to compute a metric on them. I am thinking of something like the symmetric difference as mentioned in Margush and McMorris (1982).

Hi, I already have a dissimilarity matrix and I am submitting the results to the elbow.obj method to get an optimal number of clusters. Am I reading the below output correctly that I should have 17 clusters? code: top150 <- sampleset[1:150,] {cluster1 <- daisy(top150 , metric = c("gower") , stand = TRUE , type = list(symm

Hi folks, I tried for the first time hclust. Unfortunately, with missing data in my data file, it doesn't seem to work. I found no information about how to consider missing data. Omission of all missings is not really an option as I would loose to many cases. Thanks in advance Holger -- View this message in context:

I'm clustering rather large data sets and would like to cut the dendrograms to get a better view of specific components. I calculate the dissimilarity matrix using daisy() because I have a mixture of variable types: factors, ordered factors and numerical variables. If I want one dendrogram, I use agnes() for the agglomerative nesting and pltree() to draw the dendrogram. That way, I get the

Hi, I'd got a matrix of correaltion values. Which cluster method can I use to cluster it? Best Regards...

Hello, I would like to calculate a cluster analysis and I use the function 'hclust'. I have seen the GRAPHICAL results of this function with 'plot'. I would like to analyse this cluster but I don't know how to see the NUMERICAL results of each step of this cluster like: - R Squared - Pseudo F - Pseudo t**2 Thank you for any help, Pierre-Olivier Chasset ===== Pierre-Olivier

Hi, exist a special cluster-analysis algorithms which can work with NA's. a further "problem" is that i want cluster variables not cases to identify special variable-set's. Is it a common way turn the data.frame and use kmeans,because this works with NA's, or have anybody another method for finding "variable-sets" , with exception of factor analysis. thanks for

Hi all, I've stumbled upon some memory limitations for the analysis that I want to run. I've a matrix of distances between 38000 objects. These distances were calculated outside of R. I want to cluster these objects. For smaller sets (egn=100) this is how I proceed: A<-matrix(scan(file, n=100*100),100,100, byrow=TRUE) ad<-as.dist(A)

Hello SysLinux Team, I have recently installed version 5.0of SysLinuxwhat may be I should not have done so. Now my problem is, that everytime I start via PXE (gpxe) I only get the boot: prompt and not the menu as expected (all was working fine with previous versions incl 4.06) In the server log I can see atftpd serving some files to the workstation but not as before where it tried to find the

Dear all, I have a question with regard to the use of hclust. I would like to be able to specify my own distance matrix instead of asking R to compute the distance matrix for me. It is computationally easier for me this way. My question is: How can I get hclust to accept this? Thanks, Ranjan -- *************************************************************************** Ranjan

Hello, My name is Rodrigo, I am using R program and I have a trouble. I am trying to do a dendrogram with genetics information. Let me explain... The Similarity Matrix was already did, and with this matrix I want to construct a dendrogram. So, the distance is done. I need to transform this matrix (that I have) in a dendrogram, I woud be very grateful if someone could help me. PS: I am sending

Hello I have been setting up my computer to run Sweave. I have got the whole thing working on example files, except that my MikTex returns an "Undefined Control Sequence" error for \Sexpr and my output file contains verbatim code sequences at the apropriate point in the text rather than the R output. The rest of the output file is fine with tables, R code sequences and figures in the