search for: mu_0

Hello, For a simple problem with 1 predictor (x) and 2 classes (0 and 1), the linear discriminant function should be something like 2(mu_0 - mu_1)/var x + x-independent-terms where var is the common variance. Question 1: Why does lda() report only a single "Coefficients o...

Hello, Is there a built-in test in R for hypothesis testing with samples of known variance? For example, I've got a set of data, a mean to compare against, and a known variance, and I want to determine the p-value for which I can reject the null hypothesis (mu_1 = mu_0) and accept the alternative (mu_1 > mu_0). I've found that JMP and Minitab can both do this (in JMP, it's a one-sided confidence interval in the Distribution platform), but I haven't figured out how to do such a test in R. Thanks, Tom

I am new in R. I can simulate Arma, using Arima.sim However, I want to simulate an Arima Model. Say (1-B)Zt=5+(1-B)at. I do not know how to deal with 5 in this model. Can any one could help me? Thank you very much! Regards, -- View this message in context: http://www.nabble.com/simulate-arima-model-tp23239027p23239027.html Sent from the R help mailing list archive at Nabble.com.

..., sigma_p, mu_p) sigma_p*z + mu_p # Another transformation function similar to the # previous one - it can take a vector as its x argument Txz <- function(x, sigma_p, mu_p) (x - mu_p)/sigma_p # The general function with several arguments BetaG <- function(mu, alpha, n, sigma, mu_0) { lasZ <- zetas(alpha) # It is a vector sigma_M <- sigma/sqrt(n) lasX <- Tzx(lasZ, sigma_M, mu_0) # Another vector(transf. from lasZ) NewZ <- Txz(lasX, sigma_M, mu) # A new vector:transf. from lasX # And the result is a single value: pnorm(NewZ[2]) - pnorm...

Hi R users! I am trying to learn some multilevel analysis, but unfortunately i am now very confused. The reason: http://www.ats.ucla.edu/stat/hlm/seminars/hlm_mlm/mlm_hlm_seminar.htm http://www.ats.ucla.edu/stat/sas/seminars/sas_mlm/mlm_sas_seminar.htm and MlmSoftRev. pdf from mlmRev package. >From what i see, the first two links seem to declare the level one variable as a random part (i