search for: paediatric

...way, I couln't find it neither in the help, nor in the non-internal, displayable source of optim. Could anyone tell me where to find such a function? And if it really is what I need for `parscale'? Thank you! G?bor -- Gabor BORGULYA MD MSc Semmelweis University of Budapest, 2nd Dept of Paediatrics Hungarian Paediatric Cancer Registry phone: +36 - 1 - 4591500 / 2834

...ed on my screen. How can I get a plot before the last plot? I mean if the object has several plots how can I get those? "gam.object <- gam(y ~ s(x,6) + z,data=gam.data) plot(gam.object,se=TRUE)" Thank you. Brad. Dr. Guicheng (Brad) Zhang Senior Research Officer School of Paediatrics and Child Health Telethon Institute for Child Health Research 100 Roberts Road, Subiaco Western Australia, 6008 AUSTRALIA Email: Bradz@ichr.uwa.edu.au Phone: 93407896 Fax: 93882097 [[alternative HTML version deleted]]

Hi folks: Does anyone know of a way to do (linear) hypothesis tests of parameters after fitting a maximum-likelihood model w/ optim? I can't seem to find anything like a Wald test whose documentation says it applies to optim output. Also, thanks again to everyone who gave me feedback on the robustness of ML estimation in R! Peter ********************************

.../R-base-1.7.1-1.i386.rpm" error: failed dependencies: libg2c.so.0 is needed by R-base-1.7.1-1 Could anyone tell me how to go on, where to find the missing file/package and what to do with it? Thank you G?bor -- Gabor BORGULYA MD MSc Semmelweis University of Budapest, 2nd Dept of Paediatrics Hungarian Paediatric Cancer Registry phone: +36 - 1 - 4591500 / 2834

...> d=read.csv2(filename) > The special characters are accepted inside strings, but not as names of variables. Could you tell me what to set in R to make it accept these special characters as names? Thank you, G?bor -- Gabor BORGULYA MD MSc Semmelweis University of Budapest, 2nd Dept of Paediatrics Hungarian Paediatric Cancer Registry phone: +36 - 1 - 4591500 / 2834

Dear group, I am trying to use gamm() in mgcv. Here's the scenario. The data frame has approx. 110K observations with information on paediatric readmission binary outcome (Y/N) and total volume of their most responsible physician as the covariate. Since any physician can have multiple patients, the data contains clustering structure which I am trying to account for. My original formula is a <- gamm(readmission~s(volume,fx=F), correla...

Please, how to fill the area under the curve? x <- c(1:10) y <- c(rnorm(10)) plot(x,y) lines(x,y) Thanks, Mauricio Cardeal