Early in my science career I believed that any good piece of software included a graphical user interface (GUI). That was many years ago, and during that time I delved deep into the art of Tcl/Tk programming; using the tcltk package to create GUI’s ... [Read more...]

Reinforcement learning has gained considerable traction as it mines real experiences with the help of trial-and-error learning to model decision-making. Thus, this approach attempts to imitate the fundamental method used by humans of learning optimal behavior without the requirement of an explicit model of the environment. In contrast to many ... [Read more...]

A big part of why I’ve launched Locke Data is so that I can give back more to my communities. I want to give more time and more support to others. One of the first steps is doing some activities that give financial support to community groups without damaging ... [Read more...]

  I have previously written about some of the text analysis options that are available in Displayr: sentiment analysis, text cleaning, and the predictive tree.  As text analysis is a growing field, you likely want to... [Read more...]

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This is video two of a three part introduction to Bayesian data analysis aimed at you who isn’t necessarily that well-versed in probability theory but that do know a little bit of programming. If you haven’t watched part one yet, I really recomme... [Read more...]

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Introduction In this post I create yorkr templates for International T20 matches that are available on Cricsheet. With these templates you can convert all T20 data which is in yaml format to R dataframes. Further I create data and the necessary templates for analyzing. All of these templates can be ... [Read more...]

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In the chaos of the last month or so of United States of America governance, one item that grabbed my attention was the claim by President Trump that 80% of appeals decided by the Ninth Circuit Court of Appeal are overturned by the Supreme Court of the... [Read more...]

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Facebook is a famously data-driven organization, and an important goal in any data science activity is forecasting. Now, Facebook has released Prophet, an open-source package for R and Python that implements the time-series methodology that Facebook uses in production for forecasting at scale. Prophet has a very simple interface: you ... [Read more...]

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by Joseph Rickert In a recent post, I highlighted several new packages that arrived on CRAN in January that provided R users with access to data. In this post, I present additional selections for interesting January packages, organized into the categories Miscellaneous, Machine Learning, Statistics and Utilities. Miscellaneous rcss v1.2: ... [Read more...]

There are many opportunities to find maps which are good for R, also You can easily find country level maps. TIP1: GADM database + basic plot function For example GADM […] [Read more...]

Categorical variables in regression models are often included by dummy variables. In R, this is done with factor variables with treatment coding. Typically, the difference and significance of each category are tested against a preselected ... [Read more...]

Make Power Fun (Again?) Brandon LeBeau University of Iowa Overview (G)LMMs Power simglm package Shiny Demo - Broken! Linear Mixed Model (LMM) Power Power is the ability to statistically detect a true effect (i.e. non-ze... [Read more...]

A simply worded riddle this week on The Riddler, about four ropes having non-uniform and unknown burning rates, the only constraint being they all burn completely in one hour. With the help of a lighter (or even a single match), what are the possible units of time one can measure ... [Read more...]

As discussed in a previous post on the principal component method of factor analysis, the term in the estimated covariance matrix , , was excluded and we proceeded directly to factoring and . The principal factor method of factor analysis (also called the principal axis method) finds an initial estimate... The post Factor ... [Read more...]