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Consider adding a ``drop'' rows operation  #1527

@kendonB

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@kendonB

I know that filter can easily achieve this, but it is error prone when there are NA values.

Dropping using filter(!condition) drops NAs but drop(condition) would keep them.

Hope this helps.

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