[R] R-Size Limit (Confused)

[David Winsemius]

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