Probability is at the heart of data science. Simulation is also commonly used in algorithms such as the bootstrap. After completing this exercise, you will have a slightly stronger intuition for probability and for writing your own simulation algorithms. Most of the problems in this set have an exact analytical ... [Read more...]

Welcome to the tenth post in the rarely ranting R recommendations series, or R4 for short. A few days ago we showed how to tell the linker to strip shared libraries. As discussed in the post, there are two options. One can either set up ~/.R/Makevars by passing the ... [Read more...]

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The dropout approach developed by Hinton has been widely employed in the context of deep learnings to prevent the deep neural network from over-fitting, as shown in https://statcompute.wordpress.com/2017/01/02/dropout-regularization-in-deep-neural-networks. In the paper http://proceedings.mlr.press/v38/korlakaivinayak15.pdf, the dropout is also proposed to address the ... [Read more...]

Prompted by both my own struggles with wgrib2 compilation and a plea on the rNOMADS email listserv, I’m going to describe how to compile and install wgrib2 on Mac OS. First of all, some background: wgrib2 is an excellent utility written by Wesley Ebisuzaki at NOAA.  It allows for ... [Read more...]

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simplyR is a web space where we’ll be posting practical and easy guides for solving real important problems using R programming language. As we aren’t fans of unnecessary complications, we’ll keep the content of our tutorials / R codes as simpl... [Read more...]

Hello Readers, This is a notification post – Did you realize our website has moved? The blog is live at New JA Blog under the domain http://www.journeyofanalytics.com . You can read about the rent analysis post here. If you received this post AND an email from anu_analytics, then ... [Read more...]

A new cross tab tool I recently put up a simple web app, built with R Shiny, to let users explore the relationship between party vote in the 2014 New Zealand general election and a range of demographic and attitudinal questions in the New Zealand Elec... [Read more...]

Making your code run faster is often the primary goal when using parallel programming techniques in R, but sometimes the effort of converting your code to use a parallel framework leads only to disappointment, at least initially. Norman Matloff, author of Parallel Computing for Data Science: With Examples in R, ... [Read more...]

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Today, we are happy to announce RInno’s first minor release. Over the past 5 months, RInno has been downloaded over 1200 times. Data scientists use it at the FDIC, the US Treasury and US Department of Agriculture among other organizations to install ... [Read more...]

INTRODUCTION The ggvis package is used to make interactive data visualizations. The fact that it combines shiny’s reactive programming model and dplyr’s grammar of data transformation make it a useful tool for data scientists. This package may allows us to implement features like interactivity, but on the other ... [Read more...]

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Income inequality data Ideally the Gini coefficient to estimate inequality is based on original household survey data with hundreds or thousands of data points. Often this data isn’t available due to access restrictions from privacy or other concer... [Read more...]

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The bi-monthly RcppArmadillo release is out with a new version 0.7.960.1.0 which is now on CRAN, and will get to Debian in due course. And it is a big one. Lots of nice upstream changes from Armadillo, and lots of work on our end as the Google Summe... [Read more...]

As you may have noticed, we have made a few changes to our apps for the 2017 season to bring you a smoother and quicker experience while also adding more[...] The post 2017 App Update appeared first on Fantasy Football Analytics. [Read more...]

A common task in plotting is adding texts as labels or annotations to specific locations. ggplot() has functions geom_text(), geom_label() and annotate() for this purpose. In this post we discuss how ggplot2 controls positioning of text. First we need to specify (x, y) coordinate in the plot where ... [Read more...]

An open-source project that aims to fascilitate deployment of R Shiny projects. I helped to build coding infrastructure that integrates the flexdashboard framework. The following is the summary found on the project github page: RInno makes it easy to install local shiny apps by providing an interface between R and ... [Read more...]