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You didn't mention on R-help that the bug was already fixed in 2.7.0 patched, otherwise I wouldn't have bothered with a bug report. -- Gad Abraham Dept. CSSE and NICTA The University of Melbourne Parkville 3010...
Daren Tan wrote: > Besides the impute package, are there others that have alternative impute approaches ? I hope to compare their performances. > Have a look at transcan() and impute() in package Hmisc. -- Gad Abraham Dept. CSSE and NICTA The University of...
David wrote: > Hi > Which package(s) is R fit frailty models to univariate survival data, i.e. simple data with one survival time per person. I haven't used it myself, but have a look at ?frailty in the survival...
Santosh wrote: > Dear useRs... > > How do you all do binning of an independent variable using R? For example, > observations of a dependent variable at times different from a nominal time. > > > Are there any R functions that help with binning? Have...
Dear list, I'm trying to understand what kind of uncertainty intervals are plotted for survival::survfit.coxph when 'conf.int=TRUE' is called, e.g.: f <- coxph(Surv(futime, fustat) ~ age, data = ovarian) s <- survfit(f, newdata=data.frame...
Atte Tenkanen wrote: > Hi, > > That is of counter for web page. Do you get some pop-up windows? > > > Atte Hi Atte, Yes, annoying stuff from http://ilead.itrack.it. Your webcounter provider using their scripts to do this, without your...
Hi, I'm using survreg() from the survival package for parametric survival regression (modelling inter-arrival times of patients to a waiting list as exponentially distributed, with various regressors such as queue size and season). Does anyone know which algorithm...
Raphael Saldanha wrote: > Hi! > > Is there any package or function on R to ARMA models (Box & Jenkins, without > sazonality and trend) with resources to automatic identification for p and q > ? Have a look at auto.arima() from the forecast package...
Dear list, I'm trying to understand what kind of uncertainty intervals are plotted for survival::survfit.coxph when 'conf.int=TRUE' is called, e.g.: f <- coxph(Surv(futime, fustat) ~ age, data = ovarian) s <- survfit(f, newdata=data.frame...
Andrew Robinson wrote: > Hi Gad, > > try: > > >> class(a) > [1] "Arima" >> getAnywhere(print.Arima) Thanks Andrew. For the record, the standard error is the square root of the diagonal of the covariance matrix a$var.coef (itself obtained through some magic...
kone wrote: > Hi everybody, > > I put some R-code to a web page for drawing fractals. See > > http://fractalswithr.blogspot.com/ > > If you have some R-code for fractal images, I'm willing to include > them to the page. That...
Hi, I'm using latex() from Frank Harrell's Hmisc library to produce LaTeX files. By default, it calls xdvi and displays the dvi. How can I make xdvi not show? I couldn't find a clue in the extensive...
Prof Brian Ripley wrote: > This is not an LAPACK error, but an R function chol2inv complaining that > it is being misused. > > The problem is that you have a vastly overparametrized model (using > recover()) > > Browse[1]> dim(X) > [1] 20 143...
Prof Brian Ripley wrote: > This is not to do with 'wide' matrices' but to do with the lack of > column names. > > There is a bug -- the definition of 'p' should have NROW and not NCOL. > > On Sun, 18 May 2008...
Sklyar, Oleg (London) wrote: > Try using setGeneric("predict") without further arguments, this should > work as it will take the existing 'predict' definition and convert it > into S4 generic. This works nicely for me for all plot, print etc > methods > > * R...
Hi, I'm performing (blocked) 10-fold cross-validation of a several time series forecasting methods, measuring their mean squared error (MSE). I know that the MSE_cv is the average over the 10 MSEs. Is there a way to...
Hi, I'm trying to plot several lag.plots on a page, however the second plot replaces the first one (although it only takes up the upper half as it should): par(mfrow=c(2,1)) a<-sin(1:100...
Hi, I'm interested in doing mixed-effects logistic regression on gene expression data (genes in each batch as fixed effects, and different batches as random effects). The data has many times more variables than samples. This calls for a...
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