search for: gmeans

Hi everyone, I have a question about functions. I have two functions: Sampling=function(fname,Total,nSample,nPatient){......return(list(Gmean,Gsd))} Power=function(alfa,m1,m2,s1,s2,n1,n2){....return(powe)} I want to use "Gmean" and "Gsd" which are the returned values from "Sampling" function, in "Power" function. i.e. when I call "power" I want

Hi everyone, I have dataset which I make a sample of it couple of times and each time I get the mean and standard deviation of each row for each sample. I have a function for that, which takes the name of the file and number of times to sample and then returns the mean and standard deviation for each row in each sample. Sample=function(name, n){

Hi there, I have a the following function which takes a name(fname), total number of rows (Total), number of times to make a sample(nSample), number of records/rows to be included in each sample(nPatient). then it generates required samples and calculates the mean and standard deviation of the columns for each sample and finally in calculates the grand mean and standard deviation. The problem

> n=10;t=3 > d<-cbind(id=rep(1:n,each=t),y=rnorm(n*t),x=rnorm(n*t),z=rnorm(n*t)) > head(d) id y x z [1,] 1 -2.1725379 0.07629954 -0.3985258 [2,] 1 -1.2383038 -2.49667038 0.6966127 [3,] 1 -1.2642401 -0.50613307 0.4895856 [4,] 2 0.2171246 0.86711864 -0.6660036 [5,] 2 2.2765760 -0.48547142 -1.4496664 [6,] 2 0.5985345 -1.06427035 2.1761071

Hi R folks, How can I generate the discriment function from lda? I have an unbalanced data set. one class has about 25 entries and another class has about 200 entries. I used lda for classification > z<- lda(V3 ~ V1+V2, data) > z Prior probabilities of groups: 0 1 0.91111111 0.08888889 Group means: V1 V2 0 0.4445161 0.04723951 1 0.4058900

Running: R Version 2.3.1 (2006-06-01), debian stable I'm testing an application that uses rgl (installed with apt-get install r-cran-rgl) but fails, at least partly because that application uses a more current version. There is also a mysterious error msg from Xlib: > library(car) > library(rgl) > iris.mod <- lm(cbind(Sepal.Length, Sepal.Width, Petal.Length, Petal.Width) ~

Hi, everyone, I ran the test case in "Introduction to the Bioconductor marrayInput package first. When I ran the session in (read.marrayRaw) I got the following error messages. Other sessions work well. The functions and errors are labled with blue and red respectively. >mraw <- read.Spot(path = datadir, layout = galinfo$layout, gnames = galinfo$gnames, target = swirlTargets) Error