man4ish schreef:
> I am trying to calculate the regression for the follwing input data stored in
> 'data.txt' file.I am reading this and storing it in the variable i .then i
> am trying to get the predicted value using f1 as dependent and others
> f2....f10 as independent variables.It is giving the following error. Also i
> want that i shoul get one predicted value for each row(y). What should i do.
> Please help me out i will be thankful to you.
>
> i<-read.table("data.txt",header=FALSE)
> i
> V1 V2 V3 V4 V5 V6 V7 V8 V9 V10 V11
> 1 molecule f1 f2 f3 f4 f5 f6 f7 f8 f9 f10
> 2 m1 3 7 0 3 0 0 0 1 1 1
> 3 m2 2 7 0 2 0 2 0 1 0 1
> 4 m3 0 0 0 3 0 0 0 3 1 0
> 5 m4 3 7 0 1 3 0 0 0 0 1
>
> attach(i)
> out<-lm(y~x1+x2+x3+x4+x5+x6+x7+x8+x9+x10)
> Error in eval(expr, envir, enclos) : object "y" not found
>
>
In the read.table command you have to specify if you have a header that
gives the column names (which you have). You can do this by specifying
"header = TRUE". Additionally, read the documentation of lm()
carefully. Based on the object "i" the call to lm() should look like
(after using header=TRUE in read.table)
out <- lm(molecule~f1+...+f10) (used the dots to save some typing)
cheers,
Paul
--
Drs. Paul Hiemstra
Department of Physical Geography
Faculty of Geosciences
University of Utrecht
Heidelberglaan 2
P.O. Box 80.115
3508 TC Utrecht
Phone: +31302535773
Fax: +31302531145
http://intamap.geo.uu.nl/~paul
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