similar to: lrm in Design package--missing value where TRUE/FALSE needed

Hi I am trying to convert SAS codes to R, but some of the result are quite different from SAS. When I ran proc mixed, I have an option ddfm=bw followed by the model. How can I show this method in R?(I am thinking that this maybe the reason that I can't get the similar results) below is my SAS codes: proc mixed data=test covtest empirical; class pair grade team school; model score = trt

|-----Original Message----- |From: John Drescher [mailto:drescherjm at gmail.com] |Sent: 22 June 2010 6:56 PM |To: delpheye |Cc: samba at lists.samba.org |Subject: Re: [Samba] xp clients can't auth after reboot without smb restart | |> "An error occurred while reconnecting Z: to \\domain-fs\business |> Microsoft Windows Network: The specified network name is no longer |available

Hi, I've been using the Matlab robustfit function for linear regressions where I suspect some data points are outliers. Is there an equivalent function in R? Take care, Darren PS, This is the Matlab help on robustfit: >> help robustfit ROBUSTFIT Robust linear regression B = ROBUSTFIT(X,Y) returns the vector B of regression coefficients, obtained by performing robust

Dear List Many thanks to those who helped me yesterday regarding possible ways to increase memory size in R. I have found the inefficient part of my program to be a double for() loop, and was wondering if anybody could suggest an alternative to using this double loop which would speed things up. The program looks like this: for (j in 1:m) { for (i in 1:n) {

Greetings. I'm trying to recreate in R some regression models I've done in SAS, but I'm not getting the same results. My advisor suspects this may be due to differences in precision between R and SAS. Does anyone know where I can find specifications for R's type double? (It doesn't seem to be in the R Language Definition.) Thanks in advance for any help anyone can

I am trying to run the following function (a hierarchical bayes linear model) and receive the error in solve.default. The function was originally written for an older version of SPlus. Can anyone give me some insights into where the problem is? Thanks R 2.4.1 on MAC OSX 2mb ram Mark Grant markg at uic.edu > attach(Aspirin.frame) > hblm(Diff ~ 1, s = SE) Error in solve.default(R, rinv)