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Good Night I made different test to check normality and multinormality in my dataset, but I don´t know which test is better. To verify univariate normality I checked: shapiro.test, cvm.test, ad.test, lillie.test, sf.test or jaque.bera.test and To verify multivariate normal distribution I use mardia, mvShapiro.Test, mvsf, mshapiro.test, mvnorm.e. I have a dataset with almost 1000 data and 9

Hi Arun, thank-you very much! The 2nd option worked perfectly. That was what I wanted. Now, I have another question. I am using the R packages dataRetrieval and EGRET from https://github.com/USGS-CIDA/WRTDS. I have 2 objects Daily and Sample that have the naming convention (Names = "21NC02WQ.C1000000" or whatevver the list of site names happens to be) that I need to have after running

hello all, I am getting wrong estimates from this code. do you know what could be the problem. thanks x<- c(1.6, 1.7, 1.7, 1.7, 1.8, 1.8, 1.8, 1.8) y <- c( 6, 13, 18, 28, 52, 53, 61, 60) n <- c(59, 60, 62, 56, 63, 59, 62, 60) DF <- data.frame(x, y, n) # note: there is no need to have the choose(n, y) term in the likelihood fn <- function(p, DF) { z <- p[1]+p[2]*DF$x

Hello, How can I print out the p-value or the t-test value for coefficients estimated from a likelihood function. Thanks