search for: 0.2048

Hi, Given test <- matrix(c(1, 1,2,2), 2,2) t <- apply(test, 1, t.test) How can I obtain a table of p-values, confidence interval etc, instead of [[1]] One Sample t-test data: newX[, i] t = 3, df = 1, p-value = 0.2048 alternative hypothesis: true mean is not equal to 0 95 percent confidence interval: -4.853102 7.853102 sample estimates: mean of x 1.5 [[2]]

Hi, I have the following numbers as a result of bootstrap: Bootstrap Statistics : original bias std. error t1* 0.2700797 0.02168322 0.05843803 Intervals : Level Percentile 95% ( 0.2048, 0.4256 ) Can somebodly please show me how to plot a bar with confidence interval? I've searched the archive, but i'm a novice, so it didn't help

Dear R-help list, I am attempting to understand the proper formulation of ANCOVA's in R. I would like to test both parallelism and intercept equality for some data sets, so I have generated an artificial data set to ease my understanding. This is what I have done #Limits of random error added to vectors min <- -0.1 max <- 0.1 x <- c(c(1:10), c(1:10))+runif(20, min, max) x1 <-

Thank you very much for your reply. Your code work well with this example. I modified a little to fit my real data, I got an error massage. Error in split.default(x = seq_len(nrow(x)), f = f, drop = drop, ...) : Group length is 0 but data length > 0 On Thu, Jan 31, 2013 at 12:21 PM, arun kirshna [via R] < ml-node+s789695n4657196h87@n4.nabble.com> wrote: > Hi, > Try this: >