What are the different ways to manage NA's in data?

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What are the different ways to manage NA's in data?
Oct 16 in Data Analytics by ch
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1 answer to this question.

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A few functions to manage NA are na.omit(), na.fail(), na.pass(), is.na()

na.fail returns the object if it does not contain any missing values, and signals an error otherwise. na.omit returns the object with incomplete cases removed. na.pass returns the object unchanged. is.na() checks if element is NA.

answered Oct 16 by Cherukuri
• 32,260 points

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