July 2020

Strategy for improved the characterisation of human metabolic phenotyping using COmbined Multiblock Principal components Analysis with Statistical Spectroscopy (COMPASS)

July 28, 2020 | interactive data visualization with R

We have recently published a strategy for improving human metabolic phenotyping using Combined Multiblock Principal components Analysis with Statistical Spectroscopy (COMPASS). The COMPASS approach is developed within R environment. The open access manuscript can be found here.
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covid19italy v0.3.0 is now on CRAN

July 28, 2020 | Rami Krispin

Version 0.3.0 of the covid19italy is now available on CRAN. The package provides a daily snapshot of the covid19 cases in Italy by province, region and national levels. While the data on the package is getting refreshed once every few months, the update_data function enables you to get the ... [Read more...]

Let the snail crawl: Animated density curves

July 28, 2020 | Rcrastinate

Previously, I’ve plotted a ridgeline based on a variable’s density through time. It might look nice but it’s quite obvious that time can be visualized in a more fitting way - by time itself, in an animated plot that is. So, let’s fire up the {gganimate} ... [Read more...]

An Example With accumulate()

July 28, 2020 | R on Data & The World

As with most useful (collections of) libraries, the tidyverse has a lot to offer. One interesting bit that I found recently was the accumulate() function in the purrr library, which allows you to apply a function over a succession of values in a vector. This post is a quick example ...
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covid19italy v0.3.0 is now on CRAN

July 28, 2020 | Rami Krispin

Version 0.3.0 of the covid19italy is now available on CRAN. The package provides a daily snapshot of the covid19 cases in Italy by province, region and national levels. While the data on the package is getting refreshed once every few months, the update_data function enables you to get the ... [Read more...]

ttdo 0.0.6: Bugfix

July 28, 2020 | Thinking inside the box

A bugfix release of our (still small) ttdo package arrived on CRAN overnight. As introduced last fall, the ttdo package extends the most excellent (and very minimal / zero depends) unit testing package tinytest by Mark van der Loo with the very cleve... [Read more...]

Specify additional aesthetics for points

July 28, 2020 | Quantargo Blog

ggplot2 implements the grammar of graphics to map attributes from a data set to plot features through aesthetics. This framework can be used to adjust the point size, color and transparency alpha of points in a scatter plot. Add additional plotting d...
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Network Analysis: Who is the Most Important Influencer?

July 28, 2020 | Learning Machines

Networks are everywhere: traffic infrastructure and the internet come to mind, but networks are also in nature: food chains, protein-interaction networks, genetic interaction networks and of course neural networks which are being modelled by Artificial Neural Networks. In this post, we will create a small network (also called graph mathematically) ... [Read more...]

How to create PowerPoint reports with R

July 27, 2020 | Andrew Treadway

In my last post, we discussed how to create and read Word files with R’s officer package. This article will expand on officer by showing how we can use it to create PowerPoint reports. Getting started Let’s get started by loading officer. Next, we’ll create a PowerPoint ...
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Progress Bar

July 27, 2020 | R | Trundler

Trundler’s catalog of retailers and products is growing all the time! Sometimes, it might take a while to return queries that request a lot of data. That’s why we’ve added a new progress bar feature to the {trundler} R package. We implemented this u... [Read more...]

Progress Bar

July 27, 2020 | R | Trundler

Trundler’s catalog of retailers and products is growing all the time! Sometimes, it might take a while to return queries that request a lot of data. That’s why we’ve added a new progress bar feature to the {trundler} R package. We implemented this using the fantastic {progressr} ... [Read more...]

Maximum Likelihood Estimation

July 27, 2020 | R | All Your Bayes

TLDR Maximum Likelihood Estimation (MLE) is one method of inferring model parameters. This post aims to give an intuitive explanation of MLE, discussing why it is so useful (simplicity and availability in software) as well as where it is limited (point estimates are not as informative as Bayesian estimates, which ...
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