March 2019

Discrete Event Simulation Metamodeling – Splines with R and Arena

March 31, 2019 | R Blogs by Pedro N. de Lima

Simulation Metamodeling - building and using surrogate models that can approximate results from more complicated simulation models - is an interesting approach to analyze results from complicated, computationally expensive simulation models. Metamodels are useful because they can yield good approximations of the original simulation model response variables using less computational ...
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Easyalluvial 0.2.0 released

March 31, 2019 | R on datistics

easyalluvial allows you to build exploratory alluvial plots (sankey diagrams) with a single line of code while automatically binning numerical variables. In version 0.2.0 marginal histograms improve the visibility of those numerical variables. Further a method has been added that creates model agnostic 4 dimensional partial dependence alluvial plots to visualise the ...
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RInside Help in Testing

March 31, 2019 | R Views

A problem arises when building R interfaces to C/C++ libraries involves testing: how to go about replicating the existing C/C++ tests in R without undue effort. If the C/C++ tests are simple and small enough, they can be manually translated. However, when there are many tests, and ... [Read more...]

Monotonic Binning with GBM

March 31, 2019 | statcompute

In addition to monotonic binning algorithms introduced in my previous post (https://statcompute.wordpress.com/2019/03/10/a-summary-of-my-home-brew-binning-algorithms-for-scorecard-development), two more functions based on Generalized Boosted Regression Models have been added to my GitHub repository, gbm_bin() and gbmcv_bin(). The function gbm_bin() estimates a GBM model without the cross validation and ... [Read more...]

Variable selection using Gibbs sampling

March 31, 2019 | Fabian Dablander

“Which variables are important?” is a key question in science and statistics. In this blog post, I focus on linear models and discuss a Bayesian solution to this problem using spike-and-slab priors and the Gibbs sampler, a computational method to sample from a joint distribution using only conditional distributions. Variable ...
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Tips for R to Python and Vice-Versa seamlessly

March 31, 2019 | Pradeep Mavuluri

When we TATVA AI visit our clients, often both data scientists and higher management ask us, how we deal with both  Python and R simultaneously for client requests; as there is no universal preference among clients. Though solution is not straight forward, however, I suggest to exploit common libraries for ...
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Matrix-style screensaver in R

March 31, 2019 | Eran Raviv

This post shares short code snippet to make your own screen saver in R, The Matrix-style: The code takes a few seconds to complete. [crayon-5ca12224a8f2d376309537/] Because of randomness, once you ran the code, you will never see the exact screen saver elsewhere. Enjoy. Related posts: Syntax ...
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Using R: plotting the genome on a line

March 31, 2019 | mrtnj

Imagine you want to make a Manhattan-style plot or anything else where you want a series of intervals laid out on one axis after one another. If it’s actually a Manhattan plot you may have a friendly R package that does it for you, but here is how to ...
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BDA3 Chapter 1 Exercise 3

March 30, 2019 | Brian Callander

BDA3 Chapter 1 Exercise 3 Posted on 31 March, 2019 by Brian Tags: bda chapter 1, solutions, hardy-weinberg principle Category: bda3 Here’s my solution to exercise 3, chapter 1, of Gelman’s Bayesian Data Analysis (BDA), 3rd edition. There are solutions to some of the exercises on the book’s webpage. \(\DeclareMathOperator{\dbinomial}{Binomial} \DeclareMathOperator{\dbern}{... [Read more...]
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