Hi Jan, Glad to hear the post is useful to you! :D Here's a practical, self-contained example of bootstrapping: https://cran.r-project.org/web/packages/broom/vignettes/bootstrapping.html
And an excerpt from my own work: https://github.com/wikimedia-research/Discovery-Search-Test-PhraseRescoreBoost/blob/39a02f6a65b7893b6b13d9b65af42f9861bfa4eb/cda.R#L90--L106 because I needed to bootstrap the distribution of a K-L divergence metric ( https://en.wikipedia.org/wiki/Kullback%E2%80%93Leibler_divergence) Also, if you are using the R package "forecast" for ARIMA models, one of the options in predict.Arima (I think) is to create confidence intervals for the forecast by bootstrapping residual errors :) Hope that helps! - Mikhail On Saturday, February 4, 2017, Jan Dittrich <[email protected]> wrote: > Hello Analytics, > > I read "Hiring a data scientist" (https://blog.wikimedia.org/ > 2017/02/02/hiring-data-scientist/) recently and it gave us a lot of > useful insights into our (WMDEs) process of hiring a Data Analyst. > > I stumbled upon the Bootstrap question and was reminded that I should > extend my knowledge there; I read about the theory behind but I never used > it in practice, so I wondered if one of you has some examples to share > where you used bootstrapping in your work (Ideally in a iPython or > RMarkdown notebook, which usefulness was also highlighted in the Job post > :-) ) > > Jan > > -- > Jan Dittrich > UX Design/ User Research > > Wikimedia Deutschland e.V. | Tempelhofer Ufer 23-24 | 10963 Berlin > Phone: +49 (0)30 219 158 26-0 > http://wikimedia.de > > Imagine a world, in which every single human being can freely share in the > sum of all knowledge. That‘s our commitment. > > Wikimedia Deutschland - Gesellschaft zur Förderung Freien Wissens e. V. > Eingetragen im Vereinsregister des Amtsgerichts Berlin-Charlottenburg unter > der Nummer 23855 B. Als gemeinnützig anerkannt durch das Finanzamt für > Körperschaften I Berlin, Steuernummer 27/029/42207. > -- *Mikhail Popov* // Count Logula, Discovery <https://www.mediawiki.org/wiki/Wikimedia_Discovery>, Wikimedia Foundation <https://wikimediafoundation.org/> Public PGP Key <https://people.wikimedia.org/~bearloga/public.asc> *Imagine a world in which every single human being can freely share in the **sum of all knowledge. That's our commitment.* Donate <https://donate.wikimedia.org/>.
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