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Dear list, I tried to use the nparcomp to run some post hoc non-parametric comparison and got and error. Error in uniroot(pfct, interval = interval) : f() values at end points not of opposite sign Appreciate any comments. the command line: >nparcomp(Ulceration~Group,data=test,type='Dunnett',control='Non-treated') Jun =================================================================== data as follows structure(list(Group = c("Duoderm", "Duoderm", "Duoderm", "Duoderm", "Duoderm", &qu...

...to use factor variable in 'selectFGR' function. The following R code is produced below for reproducibility. library(riskRegression) library(pec) dat <-data(Melanoma,package="riskRegression") Melanoma$logthick <- log(Melanoma$thick) f1 <- Hist(time,status)~age+sex+epicel+ulcer df1 <-FGR(f1,cause=1, data=Melanoma) df1 df <-selectFGR(f1, data=Melanoma, rule ="BIC", direction="backward") Thanks in advice for your suggestion. Is there any alternative solution ? Regards Amalraj raja The University of Aberdeen is a charity registered in Scotland,...

...with id and one element per cc # dimnames = c('ID', # 'CHF','VALVE','PULMCIRC','PERIVASC', # 'HTN_C','PARA','NEURO','CHRNLUNG','DM', # 'DMCX','HYPOTHY','RENLFAIL','LIVER','ULCER', # 'AIDS','LYMPH','METS','TUMOR','ARTH', # 'ANEMDEF','ALCOHOL','DRUG','PSYCH','DEPRESS') ) flag = function(data, k) { data = data[k, ] print(data) print(k) id = as.matrix(data[1]) DX =...

On 02/02/2015 03:15 PM, Tim wrote: > What are you exactly searching for? Sounds like he is doing a network install, and is looking for the network path that must be supplied in order to do the install. If he doesn't have a local repository, then he has to supply the first part of the path (e.g. http://..../xyz/ ) and he has to stop at the directory level above .../7/ or some such. I

...-c(500000,2.8,.5,1.8) # initial 1/exp(constant) t<-nlm(likelihood.weibul,initial,print.level=1,hessian=T) Best Regards, Denis Lalountas University of Patras insem<-read.table("Melanoma.txt",header=T) id <- insem$id timeto<-insem$time stat<-insem$status x1<-insem$ulcer x2 <-insem$thickness x2 <- log(x2) id time status sex age year thickness ulcer 1 1 10 0 1 76 1972 6.76 1 2 2 30 0 1 56 1968 0.65 0 3 3 35 0 1 41 1977 1.34 0 4 4 99 0 0 71 1968 2.90 0 5 5 185...

...nty using R 2.6.0 on Windows XP. It also works for me using R 1.2.1 and S-PLUS 2000 on Windows XP after installing the S-PLUS bootstrap library, with slight differences in my outputs. > library(boot) > library(survival) > set.seed(12345) > mel <- melanoma[melanoma$ulcer==1,] > mel$cens <- 1*(mel$status==1) > mel.cox <- coxph(Surv(time, status==1)~thickness, + data=mel) > mel.surv <- survfit(mel.cox) > mel.cens <- survfit(Surv(time-0.001*(status==1),status!=1)~1, + data=mel) > mel.fun <- function(d) { + cox <- coxph(...

...ectFGR' function. The following R code is > produced below for reproducibility. > > library(riskRegression) > library(pec) > dat <-data(Melanoma,package="riskRegression") > Melanoma$logthick <- log(Melanoma$thick) > f1 <- Hist(time,status)~age+sex+epicel+ulcer > df1 <-FGR(f1,cause=1, data=Melanoma) > df1 > df <-selectFGR(f1, data=Melanoma, rule ="BIC", direction="backward") > > Thanks in advice for your suggestion. Is there any alternative solution ? > > Regards > Amalraj raja > > > The Universi...

Hello everyone, I wanted to ask if there is an R-package to fit the following Poisson regression model log(\lambda_{ijk}) = \phi_{i} + \alpha_{j} + \beta_{k} i=1,\cdots,N (subjects) j=0,1 (two levels) k=0,1 (two levels) treating the \phi_{i} as nuinsance parameters. Thank you very much -- -Tony [[alternative HTML version deleted]]

Dear samba-list! I just upgraded our linux-file server from the last samba version (1.19.-something??) to the 2.0beta3 since the speed-up effect seemed worth a try. I did this over the weekend to keep our network functional workdays... But now I've seen that only me can write and read properly from the different shares. The other users (I set up user level security as before) have some

...ectFGR' function. The following R code is > produced below for reproducibility. > > library(riskRegression) > library(pec) > dat <-data(Melanoma,package="riskRegression") > Melanoma$logthick <- log(Melanoma$thick) > f1 <- Hist(time,status)~age+sex+epicel+ulcer > df1 <-FGR(f1,cause=1, data=Melanoma) > df1 > df <-selectFGR(f1, data=Melanoma, rule ="BIC", direction="backward") > > Thanks in advice for your suggestion. Is there any alternative solution ? > > Regards > Amalraj raja > > > The Universi...

...ty using R 2.6.0 on Windows XP. It also works for me using R 1.2.1 and S-PLUS 2000 on Windows XP after installing the S-PLUS bootstrap library, with slight differences in my outputs. > library(boot) > library(survival) > set.seed(12345) > mel <- melanoma[melanoma$ulcer==1,] > mel$cens <- 1*(mel$status==1) > mel.cox <- coxph(Surv(time, status==1)~thickness, + data=mel) > mel.surv <- survfit(mel.cox) > mel.cens <- survfit(Surv(time-0.001*(status==1),status!=1)~1, + data=mel) > mel.fun <- function(d) { + cox <- coxph(...

...ty using R 2.6.0 on Windows XP. It also works for me using R 1.2.1 and S-PLUS 2000 on Windows XP after installing the S-PLUS bootstrap library, with slight differences in my outputs. > library(boot) > library(survival) > set.seed(12345) > mel <- melanoma[melanoma$ulcer==1,] > mel$cens <- 1*(mel$status==1) > mel.cox <- coxph(Surv(time, status==1)~thickness, + data=mel) > mel.surv <- survfit(mel.cox) > mel.cens <- survfit(Surv(time-0.001*(status==1),status!=1)~1, + data=mel) > mel.fun <- function(d) { + cox <- coxph(...

...ty using R 2.6.0 on Windows XP. It also works for me using R 1.2.1 and S-PLUS 2000 on Windows XP after installing the S-PLUS bootstrap library, with slight differences in my outputs. > library(boot) > library(survival) > set.seed(12345) > mel <- melanoma[melanoma$ulcer==1,] > mel$cens <- 1*(mel$status==1) > mel.cox <- coxph(Surv(time, status==1)~thickness, + data=mel) > mel.surv <- survfit(mel.cox) > mel.cens <- survfit(Surv(time-0.001*(status==1),status!=1)~1, + data=mel) > mel.fun <- function(d) { + cox <- coxph(...

FYI to all: I've updated the design document to include the newly disclosed variants 1.1 and 1.2 (collectively called Bounds Check Bypass Store or BCBS). There is no change to the proposed implementation which can already robustly mitigate these variants. I've also updated my patch as we have very significant interest in getting at least an early "beta" version of this into the