Benchmarking your code is one thing – another thing is to keep and use the gained knowledge for future projects. In this blog, Jakob presents his collection of benchmarks and creates an easy to use a setup for new ones. Der Beitrag A Collection of Benchmarks in R erschien zuerst auf ...

Time flies by and we are more people now here at STATWROX. But, did we change our behavior in using emojis or are we still the same? I am revisiting my analysis and will have a look! Der Beitrag Using emojis and .png as icons in your ggplot erschien zuerst ...

Do you want to optimise your code but don't know where to start? In this post I guide you through my thought process when I optimised my code. Der Beitrag Optimising your R code – a guided example erschien zuerst auf STATWORX.

Is it cheaper to fill up your gas tank in the evening? Many car drivers have their own theories and myths about refuelling. Our colleague Jakob tackled 6 of these myths using statistics in his latest blog post. Der Beitrag 6 myths about refuelling – tackled with statistics erschien zuerst auf STATWORX.

In the last 23 days I presented one function each day from the helfRlein package we created here at STATWORX. I hope you found some of the functions useful and had some fun discovering new ways of doing things with R! Since today is Christmas, only one thing remains to say: ...

This little helper adds functionality to the base R function strsplit - hence the same name! Der Beitrag Day 23 – little helper strsplit erschien zuerst auf STATWORX.

This little helper does the same thing as the "Find in files" search within RStudio. Der Beitrag Day 22 – little helper get_files erschien zuerst auf STATWORX.

This little helper returns indices of recurring patterns. It works with numbers as well as with characters. Der Beitrag Day 21 – little helper get_sequence erschien zuerst auf STATWORX.

This little helper replaces non-standard characters (such as the German umlaut "ä") with their standard equivalents (in this case "ae"). Der Beitrag Day 20 – little helper char_replace erschien zuerst auf STATWORX.

This little helper frees your memory from unused objects. Well, basically it just calls gc() a few times. Der Beitrag Day 19 – little helper clean_gc erschien zuerst auf STATWORX.

With this little helper you can load functions directly from an URL (e.g. from GitHub). Der Beitrag Day 18 – little helper burglr erschien zuerst auf STATWORX.

This little helper is just a convenience function to set infinite values and NaNs to NA. Der Beitrag Day 17 – little helper to_na erschien zuerst auf STATWORX.

This little helper is our own STATWORX color palette. Der Beitrag Day 16 – little helper statworx_palette erschien zuerst auf STATWORX.

This little helper returns a set of colors which we often use at STATWORX. Der Beitrag Day 15 – little helper sci_palette erschien zuerst auf STATWORX.

This little helper returns the folder structure of a given path. With this, one can for example add a nice overview to the documentation of a project or within a git. Der Beitrag Day 14 – little helper print_fs erschien zuerst auf STATWORX.

This little helper reads in multiple files of the same type and combines them into a data.table. Der Beitrag Day 13 – little helper read_files erschien zuerst auf STATWORX.

This little helper is a debug function if you do not work with RStudio. Der Beitrag Day 12 – little helper dive erschien zuerst auf STATWORX.

This little helper removes leading and trailing whitespaces from a string. With R version 3.5.1 trimws was introduced, which does the exact same thing. This just shows, it was not a bad idea to write such a function. Der Beitrag Day 11 – little helper trim erschien zuerst auf STATWORX.

We at STATWORX work a lot with R and we often use the same little helper functions within our projects. These functions ease our daily work life by reducing repetitive code parts or by creating overviews of our projects. At first, there was no plan to make a package, but ...

We at STATWORX work a lot with R and we often use the same little helper functions within our projects. These functions ease our daily work life by reducing repetitive code parts or by creating overviews of our projects. At first, there was no plan to make a package, but ...