search for: sampath26

Hi All I am new to R and I am not sure of how this should be done. I have a matrix of 985x100 values and the class is data.frame. A sample of my dataset looks like this (Since its a huge dataset and it would make the screen look more complex, I am pasting only the first few rows and columns. V2 V3 V4 V5 V6 2 0.009953966 -0.01586103 -0.016227028

Hi All I have a symmetric matrix of genes ( 100x100 matrix). I also have a matrix (100x2) of two columns where column 1 has the gene names and column 2 has the cluster it belongs to (they are sorted and grouped based on the cluster no). I would like to order the rows and columns of the 100x 100 matrix such that the first n genes correspond to cluster 1 and next n genes correspond to cluster 2

Hi All I would like to know how to access the values of the variable lambda.mu and and see what abs(lambdas[1]) does since lambdas is not a keyword. Snippet of the code: scoreFunction <- function(lambdas) { lambda.mu <- abs(lambdas[1]) sme.em(yi,tmei,Xi,Ni,G,lambda.mu,lambda.v)$AICc } Thanks in advance. Regards Ap -- Aparna Sampath Master of Science (Bioinformatics)

Hi All I would like to compute the raw p-value from permutation tests and I found mt.sample.rawp() from the package multtest almost similar to what I want to do. But in the function definition: mt.sample.rawp(V,classlabel,test="t",side="abs",fixed.seed.sampling="y",B=10000,na=.mt.naNUM,nonpara="n") I would like to choose my own t-test which is designed

Hi All This might be something very trivial but I seem to miss something in the syntax or logic which makes me keep wandering around the problem without arriving at a solution. What I want to do is to simulate a sample data for performing cluster analysis. I tried to use x1= mvrnorm(10,rep(0.8,3),diag(3)) x2= mvrnorm(10,rep(0,3),diag(3)) x3= mvrnorm(10,rep(-0.5,3),diag(3)) x=rbind(x1,x2,x3)