similar to: clust with "hclustWard"

Hi! I am dealing with random forest using R. Is there a way to sample a fixed no.of rows from a dataset for use with different trees in random Forest. To be more clear, my data set contains 1500 rows, and I am growing 500 trees in Random Forest Is it possible to sample only 500 rows of data from the data set and use it for different trees in the forest. I mean each tree of the forest should use

Hi all! The randomForest in R enables us to prune the trees using the nodesize feature where we can stop splitting a node if it contains less than the specified no.of of records/entities at that node. However is there a way to stop the tree growing after a specified number of levels. To be more clear on what I mean by a level. Level 0 is the parent node, Level 1 has 2 daughter nodes, Level 2 has

hi, how can i do cluster analysis on spatial data? (longitude & latitude) Because i used the function clust of the clustTool package and it did'nt work at all: cl <- clust(dv,3,method="hclustAverage",distMethod="euclidean") thanks a lot Karine HEERAH Master 2 , océanographie et environnements marins Université Pierre et Marie Curie (Paris 6)

Dear list, I have two dissimilarity matrices, one for a training data set which I then clustered using PAM. The second is a diss matrix for a validation data set (an independent field sample). I have been trying to use knn to distinguish distances between the validation data set and the 6 mediods of the training data defined by using PAM. I continue to get error messages in regards to either the

Hi: I have tried to find the appropriate clust algorithm for mixed type of data. The suggested way I see is: 1. use daisy to get the dissimilarity matrix 2. use PAM/hclust by providing the dissimilarity matrix, to get the clusters but by following this, when the data set grows bigger say 10,000 rows of data, the dissimilarity matrix will be O(n^2), and out of memory will occur. I am

Hi the list, I am writing a package in S4 and I do not manage to understand a bug. The "R CMD check" and the "R CMD build" both work. Here is links to the package (not on CRAN yet for the raison that I explain bellow): http://christophe.genolini.free.fr/aTelecharger/kml_0.5.zip http://christophe.genolini.free.fr/aTelecharger/kml_0.5.tar.gz Then I install the package and I

On Mon, Jun 15, 2015 at 10:50 AM, mats petersson <mats at planetcatfish.com> wrote: > It will iterate over the instructions in the order that they are stored in > the module/function/basicblock that they belong to. And that SHOULD, > assuming llvm-dis does what it is expected to do, be the same order. > Thanks for the reply. What about instruction ordering across basic blocks?

On 6/16/15 1:09 AM, Nick Lewycky wrote: > Anirudh Sivaraman wrote: >> On Mon, Jun 15, 2015 at 10:50 AM, mats >> petersson<mats at planetcatfish.com> wrote: >>> It will iterate over the instructions in the order that they are >>> stored in >>> the module/function/basicblock that they belong to. And that SHOULD, >>> assuming llvm-dis does

Hello all! I am performingsome clustering analysis on microarray data using agnes{cluster} and I have created my own dissimilarity matrix according to a distance measure different from "euclidean" or "manhattan" etc. My question is, if I choose for example method="complete", how are the distances between the elements calculated? Are they taken form the dissimilarity

Dear All, I would like to use the simprof function (clustsig package) but the available distances do not include Jaccard distance, which is the most appropriate for pres/abs community data. Here is the core of the function: > simprof function (data, num.expected = 1000, num.simulated = 999, method.cluster = "average", method.distance = "euclidean", method.transform =

On Jun 29, 2015 3:16 AM, "Evgeny Astigeevich" <evgeny.astigeevich at arm.com> wrote: > > Hi Anirudh, > > 'x' has a control dependency on 'y' because the value assigned to 'x' > depends on a path selected. This dependency can be converted into a data > dependency by means of a 'select' instruction because the control flow is >

Dear R users, I'd like to ask u whether you know how to sort out the following: I'm trying to reproduce a dataset of clusters, and for that I need to build up a cluster index (inside a function) using the command "replicate" as follows: dataset<- function( clusters=100, cluster.size=50, outcome.mean=list(mean=3, sd=1), outcome.var=list(mean=0, sd=1), treat=1, unbal =

Hello I am anirudh, I need help to write script to fetch detail like ips, speedlimit from mysql and add htb rules at the starting of the server. it is for a small isp i am working for. can any one help me out!, i had tried but fail to limit speed -- Anirudh Chowdary _______________________________________________ LARTC mailing list LARTC@mailman.ds9a.nl

On 6/29/15 5:16 AM, Evgeny Astigeevich wrote: > Hi Anirudh, > > 'x' has a control dependency on 'y' because the value assigned to 'x' > depends on a path selected. This dependency can be converted into a data > dependency by means of a 'select' instruction because the control flow is > simple. Just an FYI, there is an optimization called

I am having trouble getting a covariance matrix for each cluster which is output by kmeans(). My input looks like: > imagedat <- read.table("table", header=TRUE) > imagedat Red Green Blue 0_0 5 7 8 1_0 5 5 18 2_0 7 8 49 3_0 22 8 76 4_0 54 10 67 5_0 50 9 28 6_0 18 10 15 7_0 9 7 6

Hello, The following code does'nt work for me. The last command reports an error. I have created a consensus tree using the consensus comand from phylo but cannot manipulate the phylo object afterwards to create a dendogram , by transforming the phylo object into a hclust object and then into a dendogram ?? Thanks for any help library(ade4) library(cluster) library(stats) library(ape)

Hi I have submitted a package (rioja) to CRAN. It checks OK for all R versions and OS's except r-release-macosx-ix86 where it fails when checking the examples. Specifically, it fails because R can't find the package vegan which is needed in a function. Here is the snippet from the check results: ### Begin snippet checking examples ... ERROR Running examples in 'rioja-Ex.R'

I have a quick question, and I apologize in advance if, in asking, I expose my woeful ignorance of R and its packages. I am trying to use the bootcov function to estimate the standard errors for some regression quantiles using a cluster bootstrap. However, it seems that bootcov passes arguments that rq.fit doesn't like, preventing the command from executing. Here is an example:

Hi R-helpers I have a dataframe DF (lets say with the variables, y, x1, x2, x3, ..., clust) containing relatively many NAs. When I fit an ordinal regression model with the function lrm from the Design library: model.lrm <- lrm(y ~ x1 + x2, data=DF, x=TRUE, y=TRUE) it will by default delete missing values in the variables y, x1, x2. Based on model.lrm, I want to apply the robust covariance

Does inst_iterator (http://llvm.org/docs/ProgrammersManual.html#iterating-over-the-instruction-in-a-function) guarantee that the iterated instructions are in program order: the order of instructions printed by llvm-dis? Thanks in advance, Anirudh