search for: predi

...ead.table(file, dec = ",")) mode(ux)<-'numeric' vel<-ux[,1] ang<-ux[,2] x<-ux[,3] y<-ux[,4] dat<- data.frame(ang=ang, x=x,y=y) require(rms) ddist2 <- datadist(dat) options(datadist="ddist2") fitn <- lrm(ang ~ rcs(x,4) + rcs(y,4), data=dat) predi <- Predict(fitn, x, y) bplot(predi,lfun=wireframe, screen = list(z = -40, x = -80), drape=TRUE)* The file 2dcali_red.ttt consists of 4 columns can be found here : http://www.color-space.de/upload/dl/2dcali_red.ttt link The code gives me the bplot-figure, which looks like this: http://r.7896...

Hello all, I've come across an online posting http://www.biostat.wustl.edu/archives/html/s-news/2001-10/msg00119.html that described how to get confidence intervals for predicted values from predict.glm. These instructions were meant for S-Plus. Yet, it generally seems to work with R too, but I am encountering some problems. I am explaining my procedure in the following and would be most grateful if anyone could reply to me on that. I have run glm models to predict fis...

Yesterday I asked for help about read.table with a CSV file. I received the following help. As always many thanks for the prompt responses. Now I load my csv file in a text editor ( pfe) and delete all spaces. My original mail is at the end. From: Peter Dalgaard BSA <p.dalgaard at biostat.ku.dk> Do you have spaces before the commas in your file? > Yes, number , space,

Yesterday I asked for help about read.table with a CSV file. I received the following help. As always many thanks for the prompt responses. Now I load my csv file in a text editor ( pfe) and delete all spaces. My original mail is at the end. From: Peter Dalgaard BSA <p.dalgaard at biostat.ku.dk> Do you have spaces before the commas in your file? > Yes, number , space,

In one particular situation predict.coxph gives an error message. Namely: stratified data, predict='expected', new data, se=TRUE. I think I found the error but I'll leave that to you to decide. Thanks, Chris ######## CODE library(survival) set.seed(20121221) nn <- 10 # sample size in each group lambda0 <- 0....

Hi all- I fit a zero-inflated Poisson model to model bycatch rates using an offset term for effort. I need to apply the fitted model to a datasets of varying levels of effort to predict the associated levels of bycatch. I am seeking assistance as to the correct way to code this. Thanks in advance! Laura [[alternative HTML version deleted]]

Hi this message give me when I calling a number than actually not busy: "Dial failed due to trunk reporting BUSY - giving up" max channel is unlimited and sometimes it dial number ok but most of the time it gives me this error. Please inform me how can solve this problem. thanks -------------- next part -------------- An HTML attachment was scrubbed... URL:

...ecord please re-read my original message. It is clear, concise, polite and thankful for future help. I received a reply "Google it!". Thank you! Thank you Jeff for your links. I am aware of them. However, they do not point to an R package for GP for binary classification which produces prediction intervals. It seems that r-help is not as it was before. Wish you all the best. Roger and out. ________________________________ From: Bert Gunter <bgunter.4567 at gmail.com> Sent: 12 December 2017 00:01 To: Jeff Newmiller Cc: R-help; Damjan Krstajic; Berry, Charles Subject: Re: [R] Ga...

...gt; your issue with a reproducible example and mentioning what you have tried > and how it failed, you won't prompt such frustrated/unhelpful responses in > the future. > > Did you find [1] or [2]? > > [1] https://stats.stackexchange.com/questions/177677/gaussian- > process-prediction-interval > > [2] https://stats.stackexchange.com/questions/9131/obtaining- > a-formula-for-prediction-limits-in-a-linear-model/9144#9144 > -- > Sent from my phone. Please excuse my brevity. > > On December 11, 2017 9:53:01 AM PST, Damjan Krstajic < > dkrstajic at hot...

I rebased my previous 3 patches to the current master with minor changes. Patches 1 to 3 replace all my previous submitted patches. Patches 4 and 5 are new. Thanks, Linfeng Zhang