That would be fantastic. How about an option whereby all the worksheets are downloaded and read into dataframes and appear as a a list of dataframes? Farrel Buchinsky Google Voice Tel: (412) 567-7870
On Thu, Dec 10, 2009 at 10:38, Adrian Dragulescu <adria...@eskimo.com>wrote: > > I will try to have something in place by Monday to allow you to download a > specific sheet not default to the first. I will let you know. > > Adrian > > > On Thu, 10 Dec 2009, Farrel Buchinsky wrote: > > Thank you Adrian. Your response was very informative. >> >> ?downloadDocument filled me with excitement untill I read, "If you try to >> download a spreadsheet with multiple worksheets into a 'csv' or 'tsv' >> format, only the first worksheet will be downloaded." >> >> So now there is a convenient fast way to read data under two circumstances >> >> 1. if the spreadsheet has been >> published< >> http://blog.revolution-computing.com/2009/09/how-to-use-a-google-spreadsheet-as-data-in-r.html >> > >> 2. if one only wants the first sheet (RGoogleData's downloadDocument()). >> >> >> >> Farrel Buchinsky >> Google Voice Tel: (412) 567-7870 >> >> Sent from Pittsburgh, Pennsylvania, United States >> >> On Thu, Dec 10, 2009 at 09:32, Adrian Dragulescu <adria...@eskimo.com >> >wrote: >> >> >>> Farrel, >>> >>> Please read the manuals. On the RGoogleData package page you can read: >>> "The package provides R access to Google services through the Google >>> supported Java API. >>> >>> [...] >>> >>> A package with very similar functionality is maintained by Duncan Temple >>> Lang at \url{http://www.omegahat.org/RGoogleDocs/}. The approach taken >>> there is to use \code{RCurl} and \code{XML} to interact with the lower >>> level Google HTML protocol. You should check it out too." >>> >>> Regarding the questions you have about speed. Google spreadsheets is >>> labeled Labs, mabye there are performance issues on Google side. The >>> approach for both RGoogleDocs and RGoogleData is to make requests to the >>> Google servers and parse the XML results. RGoogleDocs parses using a C >>> library, RGoogleData uses a Java library. Going through the Java >>> interface >>> is an extra step, so that might explain the speed difference. >>> >>> Check ?downloadDocument if you want to download the entire document. It >>> should be fast. You can load it into R after that. >>> >>> Best, >>> Adrian >>> >>> >>> >>> On Wed, 9 Dec 2009, Farrel Buchinsky wrote: >>> >>> Both of these applications fulfill a great need of mine: to read data >>> >>>> directly from google spreadsheets that are private to myself and one or >>>> two >>>> collaborators. Thanks to the authors. I had been using RGoogleDocs for >>>> the >>>> about 6 months (maybe more) but have had to stop using it in the past >>>> month >>>> since for some reason that I do not understand it no longer reads google >>>> spreadsheets. I loved it. Its loss depresses me. I started using >>>> RGoogleData >>>> which works. >>>> >>>> I have noticed that both packages read data slowly. RGoogleData is much >>>> slower than RGoogleDocs used to be. Both seem a lot slower than if one >>>> manually downloaded a google spreadsheet as a csv and then used read.csv >>>> function - but then I would not be able to use scripts and execute >>>> without >>>> finding and futzing. >>>> >>>> Can anyone explain in English why these packages read slower than a csv >>>> download? >>>> Can anyone explain what the core difference is between the two packages? >>>> Can anyone share their experience with reading Google data straight into >>>> R? >>>> >>>> Farrel Buchinsky >>>> Google Voice Tel: (412) 567-7870 >>>> >>>> Sent from Pittsburgh, Pennsylvania, United States >>>> >>>> >>>> >> [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
