Hi, Although my question is not directly linked to R functionality, I hope you can forgive me for posing it here. I have been looking for the answer for a long time (~ 4 weeks) and have not been able to find it. My question is:
Suppose I have an m*n matrix, with a random (normally distributed) number per cell. Added to that I have a random number per column. I want to determine the standard deviation of both distributions. For the column-to-column (coco) sd I do following: sd(coco) = sqrt( sd(column averages)^2 - C * sd(cece)^2 /m ) Where C = (m*n-1) / (m*n-n) , and sd(cece) is the sd over the matrix with the column averages subtracted. My question: how can I calculate the confidence interval on sd(coco)? I would really appreciate your help, Roy Werkman -- The information contained in this communication and any atta...{{dropped}} ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html