[R] Extract rows with non-zero elements

[Frankvb]

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)
n <- as.numeric(n)
s <- as.numeric(s)
# 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]

#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?

Does anyone know how this can be done? Your help would be greatly
appreciated.

Regards,

Frank van Berkum



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