There are functions for this purpose:
?na.omit # dispays help page for na.fail, na.omit, na.exclude,
na.pass
--
David Winsemius
On Mar 5, 2009, at 1:18 AM, Lazarus Mramba wrote:
Dear R-help team,
I am getting addicted to using R but keep on getting many challenges
on the way especia
] Dropping rows conditionally
To: r-help@r-project.org
Date: Thursday, March 5, 2009, 12:18 AM
Dear R-help team,
I am getting addicted to using R but keep on getting many challenges on the way
especially on data management (data cleaning).
I have been wanting to drop all the rows if there values
Hi Lazarus,
It would be more simple with mdat as a matrix (before coercing to a
data.frame). It might be a simpler way to compare a matrix with a vector but I
don't find it for the moment; in any case, this works:
mdatT <- matrix(mdat %in% c(1, 11, 20), ncol=3)
> mdat[!apply(mdatT, 1, any), ]
Dear R-help team,
I am getting addicted to using R but keep on getting many challenges on the way
especially on data management (data cleaning).
I have been wanting to drop all the rows if there values are `NA' or have
specific values like 1 or 2 or 3.
mdat <- matrix(1:21, nrow = 7, ncol=3,
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