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[giscus[bot]]

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Introduction Are you working with a dataset in R that has missing values? Don’t worry, it’s a common issue that every R programmer faces. In this in-depth guide, we’ll cover various techniques to effectively handle and replace missing values in...

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[Peter1960-21]

Please review Stef van Buuren on more appropriate methods of imputation. Mean or median substitution might be extremely wrong. SPSS has a method do use different values for missing codes. Using the module Categories, they can get different values better suited when missingness has different causes.

[spsanderson]

This was meant to be an illustration not an education that using the mean value of a column is appropriate in any infinite number of cases. The analyst must know their data. Steven P Sanderson II, MPH Amazon Author Profile <https://www.amazon.com/stores/Steven-P.-Sanderson/author/B0CZ157DHK?ref_=pe_2466670_811284380&isDramIntegrated=true&shoppingPortalEnabled=true> Book on Lulu <http://goo.gl/lmrlFI> Personal Site <http://www.spsanderson.com>

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On Tue, Dec 3, 2024 at 10:52 AM Peter1960-21 ***@***.***> wrote: Please review Stef van Buuren on more appropriate methods of imputation. Mean or median substitution might be extremely wrong. SPSS has a method do use different values for missing codes. Using the module Categories, they can get different values better suited when missingness has different causes. — Reply to this email directly, view it on GitHub <#19 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AAPCNSYMCMDX3LSDPJYOSIL2DXHUNAVCNFSM6AAAAABS6DPE46VHI2DSMVQWIX3LMV43URDJONRXK43TNFXW4Q3PNVWWK3TUHMYTCNBVGAZDINI> . You are receiving this because you are subscribed to this thread.Message ID: ***@***.*** com>