[R] reading csv-data

[Johanna Sundvik]

Thank you all for your help. 

There was an easy solution to my problem:

read.csv2("example.csv", dec=".", header=TRUE)
or 
Mean1 <- as.numeric(as.character(Mean1))

-Johanna


Lainaus Ivar Herfindal <ivar.herfindal at bio.ntnu.no>:

> 
> 
> Thomas Lumley wrote:
> 
> > On Fri, 17 Jun 2005, Johanna Sundvik wrote:
> > 
> >>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.
> >>
> > 
> > 
> > Your files must have some entries that are not numbers, such as "." or 
> > something.  R then can't tell that the field is supposed to be numeric. 
> > This may happen with missing data, in which case the na.strings= argument 
> > can be used to tell R how missing data are specified.
> > 
> > You can convert the data to numeric as described in FAQ 7.10
> > 
> >  	-thomas
> > 
> I think the problem can be that you use read.csv2(), which expect a 
> comma (",") as decimal-indicator (as is common in Scandinavia), and a 
> semi-colon (";") as separator between columns. Either you should try 
> read.csv(), or you can try read.csv2("example.csv", dec=".", header=TRUE)
> 
> Have a look at ?read.csv (read.csv2 is in the same help-text).
> 
> Ivar
> 
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