If you open the spreadsheet in Excel you can then do "Save as..." and
select type CSV (comma-delimited text). Once you have the data in CSV
format, you can use the R function read.csv to import the data.
Cheers,
Bryan
andy wrote:
> Hello
>
> I am trying to import an *.xls spreadsheet into R. I am doing this as
> follows:
>
> > read.table(file("A5_DL.xls"))
>
> But obtain the error:
>
> Error in type.convert(data[[i]], as.is = as.is[i], dec = dec, na.strings
> = character(0)) :
> invalid multibyte string at '?????'
>
> So I copied it all over to a text document and tried to import that, thus:
> > read.table("A5.txt")
>
> The error I got then was:
>
> Error in scan(file, what, nmax, sep, dec, quote, skip, nlines,
> na.strings, :
> line 26 did not have 34 elements
>
> Having gone over the line in question, it all seems to be the same as
> any other row. I really don't want to have to manually re-enter the data
> (some 98 rows x 26 columns).
>
> Can someone advise me on what I am overlooking here please.
>
> Thanks
>
> Andy
>
>
--
Bryan Woods
Dept. of Geology & Geophysics
Yale University, KGL 106D / KGL 234
210 Whitney Ave
New Haven, CT 06511
203.432.5669 (office)
978.726.3462 (cell)
203.432.3134 (fax)
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