Hello, I recently found this list and have been reading deeply the
archives. I am wondering how people here maintain their collections of data
for easy use in R. I am wondering a few things:

1) How do members of this list deal with keeping persistent data
collections with R? I was thinking of individual xts objects by asset and
frequency (such as AAPL daily, AAPL minute, AAPL 60m, etc). While I can
store and maintain these xts objects on disk and load them into R as
needed, I am wondering if there is a more better solution.

2) Coming from that, I have been looking into the indexing package for my
needs. It seems very useful for managing a lot of large data sets in
memory, but I am not sure it is a good method for maintaining persistent
data, I have found trouble adding information to existing data that is
indexed on disk. Do poster here use indexing for this purpose? I did find
an old post or two touching on that with no specifics. I would like to be
able to combine the ability of indexing to have many large data sets
available in memory with persistent storage of data. Has anyone any
experience doing this?

3) How do people keep track of all the data sets within R? Are there any
useful packages for keeping track of multiple sets of financial data and
the information about them?

4) Any other pointers? I know many here are well versed and manage large
data sets with R. Any tips you have or even simply showing me in a helpful
direction to useful packages you use is great. This list is a great help
for me and I am still browsing old threads!

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