search for: trial2

Sorry I don't think my first trial worked I am just starting to use samba, and I keep running into the same problem time and again. I have installed SAMBA 2.0.2 correctly and have (i think) a correct smb.conf file. Now when I try to log on to one of my shares it will not let me in. I get the following errors when logging in: [dutchboy@lisa dutchboy]$ smbclient \\\\lisa\\dutchboy doing

Hi, I've got a problem building a contrast matrix for the Dunnet contrast in package multcopm. The following works fine: > summary(simtest(adiff ~ trial)) Simultaneous tests: Dunnett contrasts Data: adiff by trial Contrast matrix: trial1 trial2 trial3 trial4 trial5 trial2-trial1 -1 1 0 0 0 trial3-trial1 -1 0 1 0 0 trial4-trial1 -1 0 0 1 0 trial5-trial1 -1 0 0 0 1 Absolute Error Tolerance: 0.001 Coefficients: Estimate t value S...

...args=alist(formula=null,data=train)) mystep <- list(func="wrap.step",args=alist(object=model,scope=full,trace=0)) setClass("trial",representation(n="numeric",fit="list",step="list")) trial1 <- new("trial",n=50,fit=myfit,step=mystep) trial2 <- new("trial",n=75,fit=myfit,step=mystep) result <- lapply(list(trial1,trial2),fitmodel,mydf) print(coef(result[[1]])) print(coef(result[[2]])) cat("result #1",NROW(result[[1]]$model),"\n") cat("result #2",NROW(result[[2]]$model),"\n") The...

Hi, I am wondering if anyone can suggest how to test the equality of 2 proportions. The caveat here is that the 2 proportions were calculated from the same number of samples using 2 different tests. So essentially we are comparing 2 accuracy rates from same, say 100, samples. I think this is like a paired test, but don't know if really we need to consider the "paired" nature of the

i have a function that returns a list containing a variety of variable types i am trying to run the function multiple times and return the output into a variable with a semi-consistent naming pattern i.e., for ten trials i want to return the list into variables trial1,trial2,...trial10 is there a generic way to get this to happen i have a similar process that does the same thing to an external file: paste("connection", trial, ".net", sep="") -> outfile write(header, file=outfile, ncolumns=2) write("*Edges", file=ou...

...n1, trial1-package However on the contrary if my code is like below then, package.skeleton() creates data folder. > fn1 <- Vectorize(function(x,y,z) { + return(x + y +z) + }, SIMPLIFY = TRUE) > Data <- rnorm(20) > > setwd("F:/R_PackageBuild") > package.skeleton("trial2") So is it that if I use 'code_files ' argument then, R would not create data folder? Can somebody help me what I am missing in this process? Till now, I create ___manually____ the data folder and within that folder ____manually____ put a RData file where only object is that 'Dat...

I am trying calculate a probability using numerical integration. The first program I ran spit out an answer in a very short time. The program is below: ## START PROGRAM trial <- function(input) { pmvnorm(lower = c(0,0), upper = c(2, 2), mean = input, sigma = matrix(c(.1, 0, 0, .1), nrow = 2, ncol = 2, byrow = FALSE)) } require(mvtnorm) require(adapt) bottomB <- -5*sqrt(.1) topB <-

...n1, trial1-package However on the contrary if my code is like below then, package.skeleton() creates data folder. > fn1 <- Vectorize(function(x,y,z) { + return(x + y +z) + }, SIMPLIFY = TRUE) > Data <- rnorm(20) > > setwd("F:/R_PackageBuild") > package.skeleton("trial2") So is it that if I use 'code_files ' argument then, R would not create data folder? Can somebody help me what I am missing in this process? Till now, I create manually the data folder and within that folder manually put a RData file where only object is that 'Data'. However...