[R] reference category in binomal glm

Hi all i know this is probably a silly question but im wondering what is the 'reference' category when you run a binomal glm. that is my outcome/DV is 0,1 and i run a regression and get coefficients. do the coefficients refer to the probability to get 0 or 1? thanks so much in advance Z

Re: [R] reference category in binomal glm

Thank you both for your kinds help best z. On Tue, May 27, 2014 at 2:25 PM, Prof Brian Ripley rip...@stats.ox.ac.ukwrote: On 27/05/2014 09:51, Xebar Saram wrote: Hi all i know this is probably a silly question but im wondering what is the 'reference' category when you run a binomal glm

Re: [R] R crashes with memory errors on a 256GB machine (and system shoes only 60GB usage)

bbol...@gmail.com wrote: Xebar Saram zeltakc at gmail.com writes: Hi All, I have a terrible issue i cant seem to debug which is halting my work completely. I have R 3.02 installed on a linux machine (arch linux-latest) which I built specifically for running high memory use models

[R] R crashes with memory errors on a 256GB machine (and system shoes only 60GB usage)

Hi All, I have a terrible issue i cant seem to debug which is halting my work completely. I have R 3.02 installed on a linux machine (arch linux-latest) which I built specifically for running high memory use models. the system is a 16 core, 256 GB RAM machine. it worked well at the start but in

[R] extracting random intercept

Hi all I am using this model for a time series analysis : lung_new - (glmmPQL(LUNG ~ 1, random = ~ 1 | GUID, family = poisson, data = ts0004lag) Im interested in extracting just the random intercept can anyone point me in the right direction thx zeltak [[alternative HTML version

[R] Extracting random intercept

Hi all I am using this model for a time series analysis : lung_new - (glmmPQL(LUNG ~ 1, random = ~ 1 | GUID, family = poisson, data = ts0004lag) Im interested in extracting just the random intercept can anyone point me in the right direction thx zeltak

[R] error using predict

Hi I am very new to R (so excuse me in advance if this is pretty trivial) I am using the predict function to get prediction on a dataset from another dataset using the follwoing command: newpredT2003 = predict( object=out.model_T2003, newdata=aodmc_2003 , level = 0 ) yet i get this error:

[R] choosing a random sample by precentage

hi all i have found the follwoing way to choose a random sample by sample size (200): ten_per_T2000 - F_T2000_All[sample(nrow(F_T2000_All), 200), ] but i wondered if there is a way to choose a sample size by precentage (10% etc..) thx ethan __