I\'m using R for data analysis, and I\'m sharing some data with collaborators via Google docs. Is there a simple interface that I can use to access a R data.frame object to and
I put up a Github project to demonstrate how to use RGoogleDocs to read from a Google Spreadsheet. I have not yet been able to write to cells, but the read path works great.
Check out the README at https://github.com/hammer/google-spreadsheets-to-r-dataframe
As of 2015, there is now the googlesheets package. It is the best option out there for analyzing and editing Google Sheets data in R. Not only can it pull data from Google Sheets, but you can edit the data in Google Sheets, create new sheets, etc.
The GitHub link above has a readme with usage details; there's also a vignette for getting started, or you can find the official documentation on CRAN.
I just wrote another package to download Google Docs spreadsheets. Its much simpler than the alternatives, since it just requires the URL (and that 'share by link' is enabled).
Try it:
install.packages('gsheet')
library(gsheet)
gsheet2tbl('docs.google.com/spreadsheets/d/1I9mJsS5QnXF2TNNntTy-HrcdHmIF9wJ8ONYvEJTXSNo')
More detail is here: https://github.com/maxconway/gsheet
This may partially answer the question, or help others who want to begin by only downloading FROM public google spreadsheets: http://blog.revolutionanalytics.com/2009/09/how-to-use-a-google-spreadsheet-as-data-in-r.html#
I had a problem with certificates, and instead of figuring that out, I use the option ssl.verifypeer=FALSE. E.g.:
getURL("https://<googledocs URL for sharing CSV>, ssl.verifypeer=FALSE)
Since R itself is relatively limited when it comes to execution flow control, i suggest using an api to an high-level programming language provided by google: link text. There you can pick whichever you are most familiar with.
I for one always use python templates to give R a little more flexibility, so that would be a good combination.
For the task of exporting data from R to google docs, the first thing that comes to my mind would be to save it to csv, then parse and talk to g/docs with one of the given languages.
There are two packages: