The standard way to put data into a package is to convert it to RDA as
described in the Writing R Extensions document. This is faster and more compact
than CSV.
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Sent from my phone. Please excuse my brevity.
On April 16, 2014 5:10:03 AM PDT, Luca Cerone <luca.cer...@gmail.com> wrote:
>Hi, in a package I am developing some functions need to use some
>external
>data.
>I have these data as a set of .csv files that I have placed in the
>inst/extdata folder.
>
>At the moment I have a file "db-internal.r" where I load all the
>internal
>databases that could be used by the functions in my package;
>and assign them to some global (to the package) variables (all with the
>prefix db_ in front of them)
>For example (I didn't come out with a better name, sorry)
>
>db_italian_cities = read.csv(system.file("extdata/italian_cities.csv")
>
>like this I can use db_italian_cities in my functions.
>
>Some of these datasets are quite big and really slow down loading the
>package, plus for some of the task the package is meant to solve they
>might
>not even be required.
>I would like to be able to lazyload these datasets only when needed,
>how
>can I possibly achieve this without creating special databases?
>
>Some of them could change, so I intend to be able to download the most
>recent ones through a function that ensure the package is using the
>most
>recent version,
>so I would really prefer to simply use csv files.
>
>Thanks a lot in advance for the help!
>
>Cheers,
>Luca
>
> [[alternative HTML version deleted]]
>
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>and provide commented, minimal, self-contained, reproducible code.
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