What is the benefit of lazyload DB in this circumstance? I don't see it
if your .rda files have one data object each and are compressed.
The paradigm we have been following is to have all the environments
saved in individual .rda files, so after loading the package they can be
accessed with e.g.
What is the benefit of lazyload DB in this circumstance? I don't see it
if your .rda files have one data object each and are compressed.
Do you have a `data/filelist' index in your packages, as suggested by
200update.txt and `Writing R Extensions'? The slow examples I have seen
did not and so w
Hi all,
Bioconductor has several metaData packages that contain quite large
data sets. In the past, these data were simply held in the /data
directory of the package as .rda files and load()ed as needed.
Converting to using lazy data loading may have memory and performance
advantages, but for the
