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Hi, I am trying to use (i) as an index but R considers it as a function and not as text. To be more specific I would like for example to estimate some regressions named qrnox1, qrnox2, qrnox3,..... and so on. But when I am using qrnox(i) ot qrnox[i] it tries to find the ith element of vector qrnox. The thing is that I want to estimate the qrnoxi regression and not the qrnox(i) function or

Dear all, I am running a code using bootstraps for estimating standard errors but the mac crashes. When I use small number of bootstraps (100) it works fine but if I increase that number it crashes. Thanks in advance dimitris The code, the error and my mac characteristics are the following: ##############code##################### qr.1<- rq(y~factor(year)+factor(state)+x1+I(x^2)+I(x^3),

Hi, I am estimating a regression but the summary command is unable to provide me results, while the coefficients are available from the coefficients value. I suppose that it cannot estimate the covariance matrix. Is there any command that I can relax the tolerance so it can estimate the covariance matrix. The code and the error of R is: eq1<-rq(y~factor(year)+factor(state)+x1+x2+x3,

Dear all, I would like to create a number of vectors which contain the the first n elements of an existing vector. For example I have the vectors vnk (200x1) and vro(200x1) and I want to create 200 vectors that contain the 1st till the n_th element of the vectors and thus be able to create a vector s with 200 elements which are the product of all these vectors: i.e s1<-vnk[1]%*%vro[1]

Dear all, I am trying to estimate the prediction from a fixed effects model and their confidence intervals as well. Though I do not want to include in the prediction and at the confidence intervals the intercept. For that reason I used the argument incl.non.slopes=FALSE. But either if it is TRUE or FALSE it does not have any difference and also the system does not provide any warning. I really

Hi, I am trying to estimate a quantile regression using panel data. I am trying to use the model that is described in Dr. Koenker's article. So I use the code the that is posted in the following link: http://www.econ.uiuc.edu/~roger/research/panel/rq.fit.panel.R While this code run perfectly, it does not work for my data providing a warning message: In rq.fit.sfn(D, y, rhs = a) : tiny