Many ways. I assume you know that Inf and -Inf are (special) numeric values
that can be treated like other numerics. i.e.

> 1 == - Inf
[1] FALSE

So straightforward indexing (selection) would do it.
But there is also ?is.infinite and ?is.finite, so

apply(yourdat, 1, function(x)all(is.finite(x)))

would produce the index vector to keep rows with only finite values
assuming yourdat contains only numeric data. If this is not the case, just
select the numeric columns to index on, i.e.

apply(yourdat[sapply(yourdat,is.numeric)], 1, function(x) all(is.finite(x)))

One possible problem here is handling of NA's:

is.finite(c(-Inf,NA))
[1] FALSE FALSE
... so rows containing NA's but no -Inf's would also get removed. If you
wish to keep rows with NA's but no -Inf's, then

function(x)(is.finite(x) | is.na(x) )

could be used.

Cheers,
Bert

Bert Gunter

"The trouble with having an open mind is that people keep coming along and
sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )


On Sat, Feb 16, 2019 at 7:07 AM AbouEl-Makarim Aboueissa <
abouelmakarim1...@gmail.com> wrote:

> Dear All: good morning
>
>
> I have a log-transformed data frame with some *-Inf* data values.
>
> *my question: *how to remove all rows with *-Inf* data value from that data
> frame?
>
>
> with many thanks
> abou
> ______________________
>
>
> *AbouEl-Makarim Aboueissa, PhD*
>
> *Professor, Statistics and Data Science*
> *Graduate Coordinator*
>
> *Department of Mathematics and Statistics*
> *University of Southern Maine*
>
>         [[alternative HTML version deleted]]
>
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> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
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> PLEASE do read the posting guide
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> and provide commented, minimal, self-contained, reproducible code.
>

        [[alternative HTML version deleted]]

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