Interpreting statistical network models typically involves interpreting individual edge parameters. If the network model is a Gaussian Graphical Model (GGM), the interpretation is relatively simple: the pairwise interaction parameters are partial corre... [Read more...]

I’m starting to tackle a few hard packages (spplit and spenv) having to do with integrating disparate data sources. I’ll talk here about spplit. I haven’t worked on spplit in a few years; I thought I’d make ano... [Read more...]

JS and R, what a clickbait! Come for JS, stay for our posts about Solaris and WinBuilder. ???? No matter how strongly you believe in JavaScript being the language of the future (see below), you might still gain from using it in your R practice, be it back-end or front-end. javascript ... [Read more...]

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Why R? Webinars are back for Season 2! After over more than 20 000 views in past season we are eager to start a new set of R webinars! All videos from the past series can be watched on our youtube.com/WhyRFoundation channel. See this post to find out ... [Read more...]

24.08.2020 It’s a while ago that I wrote about supervised image classification combining ImageJ and R in Bio7 (see video here). Later I decided to create a classification Graphical User Interface for Bio7 to make this process easier and implement typical functions for convenience. However it took some time to ... [Read more...]

R is a widely used language for data science, but due to performance most of its underlying library are written in C, C++, or Fortran. Julia is a relative newcomer to the field which has busted out since its 1.0 to become one of the top 20 most used languages due to ... [Read more...]

We have updated (and extended) overviewR with three new functions: overview_plot overview_heat overview_na You can also access a detailed overview of all functions in the CheatSheet: overview_plot overview_plot illustrates the information that is ge... [Read more...]

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``` The MirroredStrategy can help us scale up to about 8 GPUs per compute instance; however, we are likely to need 16 instances with 8 GPUs each to train ImageNet in a reasonable time (see Jeremy Howard’s post on Training Imagenet in 18 Minutes). So where do we go from here? Welcome to MultiWorkerMirroredStrategy: ... [Read more...]

Introduction As per lexico.com the word manipulate means “Handle or control (a tool, mechanism, etc.), typically in a skilful manner”. Data manipulation is an exercise of skillfully clearing issues from the data and resulting in clean and tidy data. What is the need for data manipulation? In real-life, data ... [Read more...]

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This post introduces the R package rougnet, which wraps the java script library rough.js to draw sketchy, hand-drawn-like networks. From all my network packages, this is probably the most useless but most fun one I developed. The package is so far only available on github, but it already has ... [Read more...]

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A couple of months ago my Twitter feed featured several mass-participation stern critiques laced with sneering and mockery (aka “Twitter pile-ons”) for some naive regression modelling in the form of lines of best fit through scatter plots. All of t... [Read more...]

When using shiny in production, often you will want to have some sort of database interactions for storing and accessing data. The DBI package provides an easy way to do the database interactions with a variety of SQL database flavors. In this example,... [Read more...]