search for: sequantially

Hi, In my application I am JITing thousands of functions, though I am doing it sequantially and running only one at a time. So it is crucial to be able to properly clean up the memory from an old JITed function when JITing and running the new one. I am using Haskell binding of LLVM and my application works OK. However, memory usage increases and never decreases during the run time of my...

...uation where there may be many (very many) JITted functions over the history of an application (which may be running for many days) Thanks On Mar 20, 2009, at 7:34 AM, George Giorgidze wrote: > Hi, > > In my application I am JITing thousands of functions, though I am > doing it sequantially and running only one at a time. So it is > crucial to be able to properly clean up the memory from an old JITed > function when JITing and running the new one. > > I am using Haskell binding of LLVM and my application works OK. > However, memory usage increases and never decrea...

I'm having trouble with the mediate() and medsens() functions from the mediation package. My treatment, mediator and outcomes variables are all continuous and scaled to the 0-1 interval. The data is observational not experimental. I am thus using lm() for the initial outcome and mediation regression models. I also use weights as the data are survey data. (As a footnote, I use the svyglm()

Greetings all. I'm starting analysis in R on a reasonably sized pre-existing dataset, of 583 variables and 1127 observations. This was an SPSS datafile, which I read in using the read.spss command using the foreign package, and the data was assigned to a data.frame when it was read in. The defaults in read.spss were used, except I set to.data.frame = TRUE. The data is a survey dataset (each