search for: x2i

...appreciate any advice or help that anyone can give on this issue and I appreciate your time very much. library(MASS) library(splines) library(sm) library(quantreg) library(locfit) set.seed(20) Zi = rnorm(5000,0, 2) ei = mvrnorm(5000, c(.6,2), matrix(c(.7,0,0,.9),2,2)) X1i = exp(-.5*Zi + ei[,1]) X2i = exp(-.5*(Zi*log(T1i) -log(T1i) + Zi) + ei[,2]) X1i = log(X1i) boot.weight = rmultinom(1,5000, prob=rep(1/5000, 5000)) boot.subset = rep(1:5000, boot.weight) loc.model.1 = locfit(1*(X2i[boot.subset]< 10) ~ lp(X1i[boot.subset], Zi[boot.subset], style = c ? ? ?("n","cpar"),...

Hi everybody, This has been causing me some trouble: I want to combine several lists of pairs into a single?vector but keep the pairs together. The lists are of the form: (1)?x1 x2 x3... N? (2) y1 y2 y3..? N I would like to keep it this way, simply appending one list to another, e.g. (1) x1i x2i... x1j x2j... N (2) etc. A?method like c(...) does not achieve this. It creates a single list, disregarding the pairs. Is there a more efficient way of doing it? Thanks! Oliver Marshall [[alternative HTML version deleted]]

Hi! This is my first time posting. I've read the general rules and guidelines, but please bear with me if I make some fatal error in posting. Anyway, I have a continuous response and 29 predictors made up of continuous variables and nominal and ordinal categorical variables. I'd like to do lasso on these, but I get an error. The way I am using "lars" doesn't allow for the

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...appreciate any advice or help that anyone can give on this issue and I appreciate your time very much. library(MASS) library(splines) library(sm) library(quantreg) library(locfit) set.seed(20) Zi = rnorm(5000,0, 2) ei = mvrnorm(5000, c(.6,2), matrix(c(.7,0,0,.9),2,2)) X1i = exp(-.5*Zi + ei[,1]) X2i = exp(-.5*(Zi*log(T1i) -log(T1i) + Zi) + ei[,2]) X1i = log(X1i) boot.weight = rmultinom(1,5000, prob=rep(1/5000, 5000)) boot.subset = rep(1:5000, boot.weight) loc.model.1 = locfit(1*(X2i[boot.subset]< 10) ~ lp(X1i[boot.subset], Zi[boot.subset], style = c ? ? ?("n","cpar"),...

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