I do not know what problem might be. But I recommend to go back to the excel
file, import it into MS Access. Then make an ODBC connection to the access
file. From which you will connect from R using RODBC.

Caveman

On Thu, May 26, 2011 at 11:59 PM, David Winsemius <dwinsemius@comcast.net>wrote:

>
> On May 26, 2011, at 5:15 PM, Struckmeier, Nathanael wrote:
>
>  Hello,
>>
>> I've been banging my head against my monitor for some time now trying to
>> import data into R. The problem is either in my use of syntax, my data
>> format, or my memory. I have described what I have tried below. Please
>> help.
>>
>> =========My GOAL==============================
>>
>>  import a 4 column, 8,000 row table into R including headers.
>>>
>>
>> =========WHAT I'VE ATTEMPTED==================
>>
>> Original data was in Excel format.
>>
>> Converted data to both a .txt and .csv (to see which worked better)
>>
>> Imported data into R via commands as object "demand" (see below)
>>
>> Please excuse the long file path.
>>
>> demand=read.delim("C:\\Documents and Settings\\E066582\\My
>> Documents\\R\\R-2.13.0\\bin\\demand.txt", header=T)
>>
>>
>>
>> demand=read.csv(("C:\\Documents and Settings\\E066582\\My
>> Documents\\R\\R-2.13.0\\bin\\demand.csv")
>>
>> ==========PROBLEMS==============================
>>
>> In both cases, about half to three fourths of my data shows up as
>>
>> object "demand" with about 4000 lines. My headers also fail to appear.
>> When my data is imported into R and I type the object name to bring it
>> up I receive a memory usage error.
>>
>> ==========SOLUTIONS============================
>>
>> I've gone in and cleaned up my data, making sure there are no (') or (#)
>> but it could still a formatting issue
>>
>> My computer has 1.9GB RAM.  I have looked but I can't figure out how to
>> increase R memory usage.
>>
>> Any ideas would be appreciated. If someone needs more information to
>> help me I'll supply it.
>>
>
> The "information" needed to address this is a public path to a place where
> one of those files resides.
>
> The problem is almost certainly not related to memory size. That is a tiny
> file. You could also cut and paste the first 20 lines into a message. Maybe
> there is something in the contents of the header that is the problem.
>
> --
>
> David Winsemius, MD
> West Hartford, CT
>
>
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>

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