How to handle missing data in R (Ft. @StatisticsGlobe)

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In this video, we have a special guest on the channel to show us how to handle missing data in R. Joachim Schork is a statistician, programmer & SEO expert from Germany. He provides free statistical programming tutorials on his website and YouTube channel Statistics Globe.

- Creation of Example Data
- Listwise Deletion
- Single Imputation
- Multiple Imputation
- Summary

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#r #missingdata #datawrangling #dataprofessor

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Thanks a lot Chanin for this amazing collaboration! It's an honor to be featured on your channel!

StatisticsGlobe

Thank you for introducting us to mice package!

gabrielmuller

Great topic from two great presenters. I'm learning R and I regularly find great info on Joachim's StatisticsGlobe channel and website.

pipertripp

Love this! We were just discussing how to deal with missing data the other day on our show! Great to see how to handle it with R.

Major_Data

Hey there loving the look of this channel, just came across it, any recommendations where to begin? (Undergrad biochemist with next to no coding experience)

oliverlindhorst

May I ask what is the basis behind the imputation calculation, or in other words, would there be issues with using imputation methods if the underlying distribution of the variable with missing values is uncertain or non-normal?

jeffreylau

Hi sir plz
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sheiksibgathulla

I know it's not uncommon but having the multiple imputation be further off from the true y than the single was really anticlimatic.

salvadors

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