search for: trackobj

From ?trackObjs: Overview of trackObjs package Description: The trackObjs package sets up a link between R objects in memory and files on disk so that objects are automatically resaved to files when they are changed. R objects in files are read in on demand and do not consume memory pr...

From ?trackObjs: Overview of trackObjs package Description: The trackObjs package sets up a link between R objects in memory and files on disk so that objects are automatically resaved to files when they are changed. R objects in files are read in on demand and do not consume memory pr...

...lysis projects in a tree. Using cd(), Save(), fixr(), mlazy() etcetera solves nicely some of the nuisances that have worried or annoyed me and sometimes caused big problems over the years. Well thought out. Now one feature that would be fabulous would be automatic time-stamping of objects. The trackObjs package from provides this, among other services. The question is, can the two packages work together peacefully? One curiosity: they have opposite ideas of the word "cache". In mvbutils, a cached object is one that is stored on disk, only retrieved into memory when needed. In trackObj...

The trackObjs package stores objects in files on disk so that files are automatically rewritten when objects are changed, and so that objects are accessible but do not occupy memory until they are accessed. Also tracks times when objects are created and modified, and caches some basic characteristics of objects...

Dear UseRs, I would like to know the created time and date of specific object. Is there any function for it? Thank you in advance. Sincerely,

...etc. # afterwards, each of the calls x<-15 # should not call myFun x=15 # should not call myFun assign(x,15) # should not call myFun etc. Has anyone an idea? Unfortunately, this feature is also missing in the library trackObjs. regards, Thomas -- Thomas Liebig Fraunhofer-Institut f?r Intelligente Analyse- und Informationssysteme (IAIS) Schloss Birlinghoven, D-53754 Sankt Augustin, Germany Email: thomas.liebig at iais.fraunhofer.de Phone: +49 2241 142050 Fax: +49 2241 142072

I have some code that can potentially produce a huge number of large-ish R data frames, each of a different number of rows. All the data frames together will be way too big to keep in R's memory, but we'll assume a single one is manageable. It's just when there's a million of them that the machine might start to burn up. However I might, for example, want to compute some

Dear R users, I am analysing a very large data set and I need to perform several data manipulations. The dataset is so big that the only way I can play with it without having memory problems (E.g. "cannot allocate vectors of size...") is to write a batch script to: 1. cut the data into pieces 2. save the pieces in seperate .RData files 3. Remove everything from the environment 4. load

When trying to remember what did I do in the session, especially after coming back to it after a few days, I'd like to mimic Unix's ls -ltrh -- does R retain the timing a certain variable is created? If not, would it make a useful addition, to have ls with an option to sort by creation time? Cheers, Alexy