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Hi, suppose that we have a triangular upper matrix A test <- matrix(ncol = 4, nrow = 4) test[1, ] <- c(NA,1,1,1) test[2, ] <- c(NA,NA,1,1) test[3, ] <- c(NA,NA,NA,1) test[4, ] <- c(NA,NA,NA,NA) I know how quickly set diagonal value diag(test) <- 1. But how quickly set down value i.e. matrix is symmetrical? Is there in r project any quickly function? Thanks, Best Marcin

Hi, It's my problem, supppose that we have a data.frame: t a b c 1 1 1 1 2 0 1 1 3 1 1 1 4 0 0 0 5 1 0 1 6 0 1 0 7 1 1 1 8 0 1 0 I need extract duplicat row i.e i nedd frame like this a b c 3 1 1 1 8 0 1 0 I try use subset(t, duplicated(t)) and t[duplicated(t), ] but this command return a b c 3 1 1 1 7 1 1 1 8 0 1 0 Best Marcin M. -- View this message in context:

Hi, Currently I testing the packets that contain built-in features for classification. Actually I looked packages such as: e1071, Klar, Caret, CORElearn. However, from what I noticed when building a naive Bayesian classifier, that they package use of the finite mixture model to estimate P (x | C) and using a normal distribution. In my research I use binary data and I want modeled P (x | C), eg the

Hi, I have a problem with Kolmogorov-Smirnov test fit. I try fit distribution to my data. Actualy I create two test: - # First Kolmogorov-Smirnov Tests fit - # Second Kolmogorov-Smirnov Tests fit see below. This two test return difrent result and i don't know which is properly. Which result is properly? The first test return lower D = 0.0234 and lower p-value = 0.00304. The lower 'D'

Hi, I try use Rmpi package to my compute. In my work I'm using eclipse version 3.6.2 and statEt version 0.10.0 (launch Rterm or RJ). Actually I observed strange behavior, when I try loading Rmpi directly I don't have any problem i.e.: library("Rmpi") mpi.spawn.Rslaves() 8 slaves are spawned successfully. 0 failed. master (rank 0, comm 1) of size 9 is running on: marcin-HP