Logistic regressions (in R)

忘是亡心i 2022-06-17 11:23 139阅读 0赞

(This article was first published on  **[R – Locke Data][R _ Locke Data]**, and kindly contributed to  [R-bloggers)][R-bloggers]

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Logistic regressions are a great tool for predicting outcomes that are categorical. They use a transformation function based on probability to perform a linear regression. This makes them easy to interpret and implement in other systems.

Logistic regressions can be used to perform a classification for things like determining whether someone needs to go for a biopsy. They can also be used for a more nuanced view by using the probabilities of an outcome for thinks like prioritising interventions based on likelihood to default on a loan.

I recently did a remote talk to Plymouth University on logistic regressions, which covers:

*  how they work (not maths heavy!)
 *  how you build them in R
 *  things to think about when preparing you data
 *  ways to evaluate a logistic regression

You can watch the [video][] below, get the [slides][], and view the slides’ [source code][].

This talk is a cut-down version of my [community workshop][] on logistic regressions, which is in itself a cut-down version of a full day of training on them. [Get in touch][] if you’re interested in the talk or workshop for your user group, or if you’d like to discuss in-depth training.

The post [Logistic regressions (in R)][R _ Locke Data] appeared first on [Locke Data][]. Locke Data are a data science consultancy aimed at helping organisations get ready and get started with data science.

[R _ Locke Data]: http://itsalocke.com/logistic-regressions-r/
[R-bloggers]: https://www.r-bloggers.com/
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[video]: https://www.youtube.com/watch?v=k2Of6NKnMsI
[slides]: http://snip.ly/ri65y
[source code]: https://github.com/stephlocke/Rtraining/blob/master/inst/slidedecks/stats/logisticregressions.Rmd
[community workshop]: http://itsalocke.com/community-r-workshops/
[Get in touch]: http://itsalocke.com/contact-us-page/
[Locke Data]: http://itsalocke.com/