best guess is that they are not integers. Do 'str' on your object and it
probably says they are 'factors'. This is probably due to some of your data
being non-numeric. Try using 'colClasses' on read.csv to specify what the
column should contain. Also try "scan" after skipping the first record if
it is a header:
> scan("", what=0L) # bad input after specifying integer
1: 1 2 3 4
5: 1 v
5:
Error in scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings,
:
scan() expected 'an integer', got 'v'
> scan("", what=0L) # good input
1: 1
2: 2
3: 3
4:
Read 3 items
[1] 1 2 3
>
On Sun, Sep 21, 2008 at 9:01 PM, Ted Byers <[EMAIL PROTECTED]> wrote:
>
> I have a number of files containing anywhere from a few dozen to a few
> thousand integers, one per record.
>
> The statement "refdata18 =
> read.csv("K:\\MerchantData\\RiskModel\\Capture.Week.18.csv", header =
> TRUE,na.strings="")" works fine, and if I type refdata18, I get the
> integers
> displayed, one value per record (along with a record number). However,
> when
> I try " fitdistr(refdata18,"negative binomial")", or hist.scott(refdata18,
> prob = TRUE), I get an error:
>
> Error in fitdistr(refdata18, "negative binomial") :
> 'x' must be a non-empty numeric vector
> Or
> Error in hist.default(x, nclass.scott(x), prob = prob, xlab = xlab, ...) :
> 'x' must be numeric
>
> How can it not recognise integers as numbers?
>
> Thanks
>
> Ted
> --
> View this message in context:
> http://www.nabble.com/Why-isn%27t-R-recognising-integers-as-numbers--tp19600308p19600308.html
> Sent from the R help mailing list archive at Nabble.com.
>
> ______________________________________________
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> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html<http://www.r-project.org/posting-guide.html>
> and provide commented, minimal, self-contained, reproducible code.
>
--
Jim Holtman
Cincinnati, OH
+1 513 646 9390
What is the problem that you are trying to solve?
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