Hi
r-help-bounces at r-project.org napsal dne 04.05.2010 09:50:28:
>
> Dear all,
>
> In my dataset I have 12 columns and 5824 rows. The second column
contains> information about the height of a claim: it might be zero or positive. I
> would like to do an analysis on the positive part of this matrix, but I
do> need the other colums with this. So if there are like 1000 rows where
the> second column is positive, I would like to extract this 1000x13 matrix
into> another matrix.
>
> The beginning of my code is:
>
> Cars <- read.csv(filename, header=TRUE, row.names=NULL,
sep=";")
> attach(Cars)
Do not do that. you will have troubles with referencing objects and
changing them, unless you perfectly know which object you
modify/reference.
> n <- as.numeric(n)
> s <- as.numeric(s)
you either have n and s as numeric than there is no need for as.numeric or
they come aout as factors and in that case you get numerical
***representation*** of levels, which is probably not what you want.
> # et cetera, the other variabeles are declared as numeric or as factors
>
> # I've tried to extract the data the following way:
> Cars2 <- Cars[Cars$s!=0]
see ?"[" and matrix/data.frame indexing
Cars2 <- Cars[Cars$s!=0, ]
>
> #However, then I get the error message:
> Error in `[.data.frame`(Cars, Cars$s != 0) : undefined columns selected
>
> # If I try
> s[s!=0]
> # I do get the positive s-values, but how can I get all colums in a
matrix?
Cars is ***not*** matrix but data.frame. Seems to be minor difference but
it is like mountain bike and racing bike. They look similar but their use
and properties are quite different.
Regards
Petr
>
> Does anyone know how this can be done? Your help would be greatly
> appreciated.
>
> Regards,
>
> Frank van Berkum
>
>
>
> --
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>
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