[R] Read a Google Spreadsheet?

[Spencer Graves]

Hi, Josh and Ista:


       Thanks very much for the replies.  I just downloaded and 
installed Java x64, and library(xlsx) worked with 64-bit R when it 
hadn't before.


       This gives me hope I can fix a problem with 
writeFindFn2xls{sos}.  It works with 32-bit R, and complains that 
"odbcConnectExcel is only usable with 32-bit Windows." (Problems with 
taking the wrong lesson:  I may have erroneously applied that 
contraindication for RODBC to Java.)


       Thanks again.
       Spencer


On 9/4/2013 6:50 PM, Joshua Wiley wrote:
> Hi Spencer,
>
> It really is not very hard, and I have never had issue with it:
>
> http://www.oracle.com/technetwork/java/javase/downloads/jdk7-downloads-1880260.html
>
> Just download the x86 and x64 versions for your OS and install.  Worst
> case, you need to add the directory to the PATH variable in Windows.
>
> I do this regularly so I can use/test either version of R.
>
> Cheers,
>
> Josh
>
> P.S. Emacs + ESS allows for different versions of R and it is not too
> difficult to use the 64 or 32 bit version... M-x
> R-version-architecture
>
>
> On Wed, Sep 4, 2013 at 6:36 PM, Spencer Graves
> <spencer.graves at structuremonitoring.com> wrote:
>> On 9/4/2013 6:09 PM, Ista Zahn wrote:
>>> Hi Spencer,
>>>
>>> Why don't you want to install 64bit Java?
>>
>>
>>        That may be a reasonable approach.
>>
>>
>>        I may have Java confused with something else, but I remember hearing
>> that it was difficult or unwise to try to install both 32- and 64-bit
>> versions of something like Java or Java Script on the same Windows operating
>> system.  If I need to uninstall 32-bit Java to install 64-bit, who knows
>> what else I could break.  I'm a statistician, not an information
>> technologist:  If I spend more time playing with Java, I'll have less time
>> for other things I want to do.
>>
>>
>>        Thanks for the reply.
>>        Spencer
>>>
>>> On Wed, Sep 4, 2013 at 6:12 PM, Spencer Graves
>>> <spencer.graves at structuremonitoring.com> wrote:
>>>> Hello, All:
>>>>
>>>>
>>>> What do you recommend for reading a Google Spreadsheet into R? I didn't
>>>> find
>>>> anything useful using library(sos); findFn('google spreadsheet').
>>>>
>>>>
>>>> I can solve the problem by downloading the file either as *.ods or *.xlsx
>>>> format, then opening it and saving it as *.xls, then using
>>>> read.xls{gdata}.
>>>>
>>>>
>>>> Alternatives I haven't tried use read.xlsx{xlsx} and
>>>> readWorksheetFromFile{XLConnect} with 32-bit R. Neither of these work for
>>>> me
>>>> with 64-bit R, because they can't find an appropriate rJava on my
>>>> computer;
>>>> see below. (I've been using 64-bit R with Emacs, so switching to 32-bit R
>>>> is
>>>> not completely trivial.) Similarly, read.gnumeric.sheet{gnumeric}
>>>> requires
>>>> the "external program, ssconvert", which seems not to be available on my
>>>> computer or installed for 64-bit R.
>>>>
>>>>
>>>> What do you suggest? Avoid 64-bit R unless I really need it? That seems
>>>> to
>>>> be the message I'm getting from this. (The writeFindFn2xls{sos} also
>>>> works
>>>> in 32-bit R but fails in 64-bit apparently for the same reason.)
>>>>
>>>>
>>>> Thanks,
>>>> Spencer
>>>>
>>>>
>>>>> library(xlsx)
>>>> Loading required package: xlsxjars
>>>> Loading required package: rJava
>>>> Error : .onLoad failed in loadNamespace() for 'rJava', details:
>>>> call: fun(libname, pkgname)
>>>> error: No CurrentVersion entry in Software/JavaSoft registry! Try
>>>> re-installing Java and make sure R and Java have matching architectures.
>>>> Error: package ‘rJava’ could not be loaded
>>>>> library(XLConnect)
>>>> Loading required package: rJava
>>>> Error : .onLoad failed in loadNamespace() for 'rJava', details:
>>>> call: fun(libname, pkgname)
>>>> error: No CurrentVersion entry in Software/JavaSoft registry! Try
>>>> re-installing Java and make sure R and Java have matching architectures.
>>>> Error: package ‘rJava’ could not be loaded
>>>>> sessionInfo()
>>>> R version 3.0.1 (2013-05-16)
>>>> Platform: x86_64-w64-mingw32/x64 (64-bit)
>>>>
>>>> locale:
>>>> [1] LC_COLLATE=English_United States.1252
>>>> [2] LC_CTYPE=English_United States.1252
>>>> [3] LC_MONETARY=English_United States.1252
>>>> [4] LC_NUMERIC=C
>>>> [5] LC_TIME=English_United States.1252
>>>>
>>>> attached base packages:
>>>> [1] stats graphics grDevices utils datasets methods base
>>>>
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