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https://issues.apache.org/jira/browse/ARROW-12055?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17307066#comment-17307066
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Joris Van den Bossche commented on ARROW-12055:
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Assuming {{is.na}} is backed by the {{is_null}} kernel, this is correct
behaviour from Arrow's point of view, I think? Question is if we want to add
options to classify NaN as null as well in various places, or R could back
{{is.na}} by a combination of {{is_null}} and {{is_nan}} ?
> [R] is.na() evaluates to FALSE on Arrow NaN values
> --------------------------------------------------
>
> Key: ARROW-12055
> URL: https://issues.apache.org/jira/browse/ARROW-12055
> Project: Apache Arrow
> Issue Type: Bug
> Components: R
> Affects Versions: 3.0.0
> Reporter: Ian Cook
> Priority: Major
>
> {code:java}
> > is.na(NaN)
> [1] TRUE
> > is.na(Scalar$create(NaN))
> [1] FALSE{code}
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