I recently published a bit of self-promotion in the form of an animation based on the new geom_voronoi_tile() and geom_voronoi_segment() functions in ggforce: Selfpromoting fun with geom_voronoi_* in #ggforce #ggplot2 #tweenr pic.twitter.com/CcFCJ8UDyy— Thomas Lin Pedersen (@thomasp85) December 16, 2016 This prompted someone to ... [Read more...]

Hey R fans! A new episode of DataCamp's DataChats video series is out!  In this episode, we interview Ronald Pearson. Ron holds a Ph.D. in Electrical Engineering and Computer Science from M.I.T. and has written or co-written five books. Furthermore... [Read more...]

Calculating correlations is often starting point before more advanced analytical steps take place. Big data (long data) always presents computational challenges of both scale and distributed nature. In turn they may get aggravated by the presence of large number of features (wide data). But challenges do not stop here as ... [Read more...]

Even though ensembles of trees (random forests and the like) generally have better predictive power and robustness, fitting a single decision tree to data can often be very useful for: understanding the important variables in a data set exploring unusual subsegments of the data (and the explanatory variables that define ... [Read more...]

[For this exercise, before proceeding, first read the rvest package help and the selectorgadget help.] Answers to the exercises are available here. Exercise 1 Consider the url ‘http://statbel.fgov.be/en/statistics/figures/economy/indicators/prix_prod_con/’ Extract all the information load on table ‘Third Quarter 2016’. Exercise 2 Consider the ... [Read more...]

I recently mentioned that I’ve been working on a development version of an Apache Drill R package called sergeant. Here’s a lifted “TLDR” on Drill: Drill supports a variety of NoSQL databases and file systems, including HBase, MongoDB, MapR-DB, HDFS, MapR-FS, Amazon S3, Azure Blob Storage, Google Cloud ... [Read more...]

How many data science books have you read? 5? 10? A few dozen? How many free online courses have you taken? A few? How many blog posts have you read? (I’d be willing to bet: you’ve read dozens.) If you’re like most budding data scientists, you’ve probably consumed ... [Read more...]

A couple of weeks ago I attended some interviews as part of my process for admission into an MBA program. While most candidates would pore over the possible questions and then try to teach them to a third party to help them with a mock interview, I decided to expedite ... [Read more...]

A couple of weeks ago I attended some interviews as part of my process for admission into an MBA program. While most candidates would pore over the possible questions and then try to teach them to a third party to help them with a mock interview, I decided to expedite ... [Read more...]

Numerical optimization is an important tool in the data scientist's toolbox. Many classical statistical problems boil down to finding the highest (or lowest) point on a multi-dimensional surface: the base R function optim provides many techniques for solving such maximum likelihood problems. Counterintuitively, numerical optimizations are easiest (though rarely actually ... [Read more...]

[Read more...]

In our last blog post we mentioned the need people felt to integrate Shiny apps in content management systems like Drupal. Release 0.7.8 added one extra feature in this respect so people could also include ShinyProxy hosted Shiny apps in external iframes. It also kicked-off our effort to support service scalability ... [Read more...]

Monday 19 December 2016 - 08:16 ShinyProxy is a novel, open source platform to deploy Shiny apps for the enterprise or larger organizations. In our last blog post we mentioned the need people felt to integrate Shiny apps in content management systems like Drupal. Release 0.7.8 added one extra feature in this respect so ... [Read more...]

Almost every biomedical research paper requires a “Table 1: baseline patient characteristics.” Many developers have published tools to help streamline the construction of such tables. The qwraps2::summary_table function is my contribution to the ... [Read more...]

Almost every biomedical research paper requires a “Table 1: baseline patient characteristics.” Many developers have published tools to help streamline the construction of such tables. The qwraps2::summary_table function is my contribution to the ... [Read more...]

[Read more...]

ADD CONTROL WIDGETS In the second part of our series you will see how to add control widgets in your Shiny app. Widget is a web element that your users can interact with. The widgets provided by Shiny are: FUNCTIONS actionButton: Action Button checkboxGroupInput: A group of check boxes checkboxInput: ... [Read more...]

Earlier this week, Conrad released Armadillo 7.600.1. The corresponding RcppArmadillo release 0.7.600.1.0 is now on CRAN and in Debian. This follows several of rounds testing at our end with a full reverse-dependency of a pre-release version followe... [Read more...]

[Read more...]