On Fri, 23-May-2008 at 08:40PM -0700, amarjit singh sethi wrote:
|> Dear all,
|> I am quite new to R; facing certain problems:
|> Say, I have a text file( named as "try"):
|> > idt=read.table(df,header=T, sep="\t")
|> > idt
|> Year C1 C2 C3 C4 C5 C6
|> 1 Y1 3.5 13.8 9.5 6.8 0.4 24.2
|> 2 Y2 3.8 13.9 9.9 7.6 0.7 12.8
|> 3 Y3 4.5 14.5 14.2 9.2 0.6 14.5
|> 4 Y4 5.9 16.2 24.6 12.7 0.2 24.3
|> 5 Y5 7.2 20.4 40.6 18.2 0.8 28.2
|> 6 Y6 5.9 18.6 37.4 14.5 0.3 36.9
|> 7 Y7 8.0 16.1 88.6 24.1 0.1 34.6
|> 8 Y8 13.6 21.1 56.3 19.0 0.7 33.3
|> > # To generate intercorrelatio matrix
|> > r = cor(idt)
|> Error in cor(idt) : missing observations in cov/cor
|> In addition: Warning message:
|> In cor(idt) : NAs introduced by coercion
The help file for cor says this about x and y:
x: a numeric vector, matrix or data frame.
y: 'NULL' (default) or a vector, matrix or data frame with
compatible dimensions to 'x'. The default is equivalent to
'y = x' (but more efficient).
Your x isn't a numeric vector, matrix or data frame.
x[,-1] is, and that might give what you want, but read the rest of the
help file to determine if that's what you want it to do. Having
rownames on your dataframe might help seeing what is happening. The
easiest way I can see to get row names is in your read.table line.
Add row.names = 1.
HTH
--
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___ Patrick Connolly
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_( Y )_ Middle minds discuss events
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