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Thread: How to handle missing values in lm.fit?

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    How to handle missing values in lm.fit?




    Is there a way to use lm.fit without completely removing rows with missing data using R?

    Is there a way for lm.fit to leave out one piece of missing data but compare the rest? I've tried all of the na.actions and can't seem to find one that works.

    Any help is appreciated.

    Thanks!

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    Re: How to handle missing values in lm.fit?


    Is that an R package looking at fit of linear models?


    Well if the model casewise deleted those observations, then they shouldn't be examined, right?
    Stop cowardice, ban guns!

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