[R] R import glitch "missing data"

[Peter Langfelder]

On Thu, May 26, 2011 at 10:03 AM, StatBat2
<NStruckmeier at harryanddavid.com> wrote:
> Hello!
>
> I am trying import data into R and im running into a snag.
>
> 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")
>
> demand=read.csv(("C:\\Documents and Settings\\E066582\\My
> Documents\\R\\R-2.13.0\\bin\\demand.csv", header=True)
>
> In both cases, about half to three fourths of my data shows up as object
> "demand". My headers also fail to appear. I get about 4000 lines of my table
> as well as missing headers. I've tried different variations on the synatx of
> how i go about importing, with or without headers designated, with or
> without .csv ',' designation, but nothing changes. I'm at a loss as to what
> is incorrect.

Do you  get any error or warning messages?

Are there any apostrophes (') in your data? These can cause mayhem. If
you have any, use the argument
quote = "\"".

HTH,

Peter