In my experience, this has always been due to the presence of 
non-numeric values in the input.

In the example you show, it is not obvious that there is any. I would 
start by first inspecting the input file very carefully, using a text 
editor outside of R. Since your example appears to have only one 
column of data, you could try reading it with the scan() function. 
This might produce additional information that would help you 
identify any non-numeric data. Using count.fields() on the data file 
might reveal something.

If "Mean1" is an element of "data", then simply typing "Mean1" at the 
prompt should produce a "not found" message. Yet Mean1 was found. 
Have you omitted something in your email, or is there another object 
named "Mean1"?

-Don

At 4:50 PM +0300 6/17/05, Johanna Sundvik wrote:
>Hi!
>
>I have had this problem for a long time. I have tried to study the manuals and
>search the mailing lists, but I can not solve this. I think there 
>has to be one
>simple solution to this, but I just can not find it.
>
>I have saved the data in excel (csv-format). Then I read the data in R e.g.
>
>>data <- read.csv2("example.csv", header=TRUE)
>
>I look the data and it looks ok. E.g
>
>>data
>      Mean1  
>1   4.4332 
>2   8.5113 
>3  35.1624
>4   9.1693
>5    2.974
>6  65.1578
>7  43.2241
>8   3.1278
>9   5.3364
>10  3.9767
>
>However, this "Mean1" is categorical when it should be real numbers.
>
>>  Mean1
>[1] 4.4332  8.5113  35.1624 9.1693  2.974   65.1578 43.2241 3.1278  5.3364
>Levels: 2.974 3.1278 35.1624 4.4332 43.2241 5.3364 65.1578 8.5113 9.1693
>
>Why R does not understand that this should be real numbers? What am I doing
>wrong here? Thanks for your help.
>
>Regards,
>Johanna Sundvik
>
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-- 
--------------------------------------
Don MacQueen
Environmental Protection Department
Lawrence Livermore National Laboratory
Livermore, CA, USA

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