RQuantLib 0.4.4: Several smaller updates

November 8, 2017
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A shiny new (mostly-but-not-completely maintenance) release of RQuantLib, now at version 0.4.4, arrived on CRAN overnight, and will get to Debian shortly. This is the first release in over a year, and it it contains (mostly) a small number of fixes t...

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solrium 1.0: Working with Solr from R

Nearly 4 years ago I wrote on this blog about an R package solr for working with the database Solr. Since then we’ve created a refresh of that package in the solrium package. Since solrium first hit CRAN about two years ago, users have raised a number of issues that required breaking changes. Thus, this blog post is about...

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In case you missed it: October 2017 roundup

November 7, 2017
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In case you missed them, here are some articles from October of particular interest to R users. A recent survey of competitors on the Kaggle platform reveals that Python (76%) and R (59%) are the preferred tools for building predictive models. Microsoft's "Team Data Science Process" has been updated with new guidelines on use of the IDEAR framework for...

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9th MilanoR Meeting: November 20th

November 7, 2017
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9th MilanoR Meeting: November 20th

MilanoR is a free event, open to all R users and enthusiasts or those who wish to learn more about R. The meeting consists of two talks (this time one about big data and and one about statistical learning) + a free buffet and networking time The post 9th MilanoR Meeting: November 20th appeared first on MilanoR.

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Setting up twitter streamR Service on an Ubuntu server

November 7, 2017
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Setting up twitter streamR Service on an Ubuntu server

I am working on a super-secret project for which I am harvesting a highly confidential source of data: twitter 🙂 The idea is to gather a small amount of twitter data, but for a long time… maybe a year. I tried to use the package TwitteR, but it can only  grab up to a week of tweets… it’s not...

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Metropolis-in-Gibbs Sampling and Runtime Analysis with Profviz

November 7, 2017
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Metropolis-in-Gibbs Sampling and Runtime Analysis with Profviz

First off, here are the previous posts in my Bayesian sampling series: Bayesian Simple Linear Regression with Gibbs Sampling in R Blocked Gibbs Sampling in R for Bayesian Multiple Linear Regression In the first post, I illustrated Gibbs Sampling - an algorithm for getting draws from a posterior when conditional posteriors are known. In the … Continue reading Metropolis-in-Gibbs...

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simmer 3.6.4

November 7, 2017
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The fourth update of the 3.6.x release of simmer, the Discrete-Event Simulator for R, is on CRAN. This release patches several bugs regarding resource priority and preemption management when seized amounts greater than one were involved. Check the examples available in the corresponding issues on GitHub (#114, #115, #116) to know if you are affected. It can be… Continuar leyendo simmer 3.6.4...

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Drawing 10 Million Points With ggplot: Clifford Attractors

November 7, 2017
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Drawing 10 Million Points With ggplot: Clifford Attractors

For me, mathematics cultivates a perpetual state of wonder about the nature of mind, the limits of thoughts, and our place in this vast cosmos (Clifford A. Pickover – The Math Book: From Pythagoras to the 57th Dimension, 250 Milestones in the History of Mathematics) I am a big fan of Clifford Pickover and I … Continue reading Drawing...

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Plots of Back-Calculated Lengths-At-Age I

November 7, 2017
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Plots of Back-Calculated Lengths-At-Age I

Last spring, I posted about my version of a modified age-bias plot. One reader commented on that post via Twitter – “Now that you solved the age-bias plot, how about the ‘best’ display of back-calculated length-at-age data, with Von...

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Practical Machine Learning with R and Python – Part 5

November 6, 2017
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Practical Machine Learning with R and Python – Part 5

This is the 5th and probably penultimate part of my series on ‘Practical Machine Learning with R and Python’. The earlier parts of this series included 1. Practical Machine Learning with R and Python – Part 1 In this initial post, I touch upon univariate, multivariate, polynomial regression and KNN regression in R and Python 2.Practical … Continue reading Practical...

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RcppQuantuccia 0.0.2

November 6, 2017
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A first maintenance release of RcppQuantuccia got to CRAN earlier today. RcppQuantuccia brings the Quantuccia header-only subset / variant of QuantLib to R. At present it mostly offers calendaring, but Quantuccia just got a decent amount of new funct...

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A simstudy update provides an excuse to generate and display Likert-type data

November 6, 2017
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A simstudy update provides an excuse to generate and display Likert-type data

I just updated simstudy to version 0.1.7. It is available on CRAN. To mark the occasion, I wanted to highlight a new function, genOrdCat, which puts into practice some code that I presented a little while back as part of a discussion of ordinal logistic regression. The new function was motivated by a reader/researcher who came across my blog in...

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Firearms Sourced and Recovered in the United States and Territories 2010-2016

November 6, 2017
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Firearms Sourced and Recovered in the United States and Territories 2010-2016

I want to try and probe a question that was raised since Las Vegas and now revived due to the tragedy in Sutherland Springs,TX: Given the free trade between states, can a state unilaterally regulate firearms. This post will try to start to give an answer to this question using R. Since there is not an open electronic federal database...

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Data acquisition in R (2/4)

November 6, 2017
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Data acquisition in R (2/4)

R is an incredible tool for reproducible research. In the present series of blog posts I want to show how one can easily acquire data within an R session, documenting every step in a fully reproducible way. There are numerous data acquisition options for R users. Of course, I do not attempt to show all the data possibilities and...

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Automating Summary of Surveys with RMarkdown

November 6, 2017
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Automating Summary of Surveys with RMarkdown

This guide shows how to automate the summary of surveys with R and R Markdown using RStudio. This is great for portions of the document that don’t change (e.g., “the survey shows substantial partisan polarization”). The motivation is really twofold: efficiency (maximize the reusabililty of code, minimize copying and pasting errors) and reproducibility (maximize the number of people and...

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Using Magick with RMarkdown and Shiny

Using Magick with RMarkdown and Shiny

This week magick 1.5 appeared on CRAN. The latest update adds support for using images in knitr documents and shiny apps. In this post we show how this nicely ties together a reproducible image workflow in R, from source image or plot directly into your report or application. library(magick) stopifnot(packageVersion('magick') __= 1.5) Also the magick intro vignette has been updated in this...

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R/exams for Blended Learning in a Mathematics 101 Course

November 6, 2017
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R/exams for Blended Learning in a Mathematics 101 Course

Overview of how R/exams is used to assist learning, feedback, and assessment in a large introductory mathematics course at Universität Innsbruck. Motivation Many statisticians regularly teach large lecture courses on...

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Taking a Shot at cdcfluview v0.7.0 (a.k.a. The Dangers of Relying on ‘Hidden’ APIs)

November 6, 2017
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Taking a Shot at cdcfluview v0.7.0 (a.k.a. The Dangers of Relying on ‘Hidden’ APIs)

Unlike @noamross, I am not an epidemiologist (NOTE: Noam battles pandemics before breakfast, so be super nice to him) but I do like to find kindred methodologies in other disciplines to help foster the growth of cybersecurity into something beyond it’s current Barnum & Bailey state. I also love finding and exposing hidden APIs and... Continue reading →

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A history-oriented introduction to R for Excel users

November 6, 2017
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A history-oriented introduction to R for Excel users

While spreadsheets are fine tools for collecting and sharing data, the temptation is often there to also use them for in-depth analysis better suited to reproducible systems like R. Historian Jesse Sadler recently published the useful guide Excel vs R: A Brief Introduction to R, which provides useful advice to data analysts currently using spreadsheets on how to transition...

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Scraping Javascript-rendered web content using R

November 6, 2017
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Scraping Javascript-rendered web content using R

Web Scraping, which is an essential part of Getting Data, used to be a very straightforward process just by locating the html content with xpath or css selector and extracting the data until Web developers started inserting Javascript-rendered content in the web page. Hence a css selector or an xpath pointing to a browser-generated / Related Post Analysing Cryptocurrency Market...

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13 Jobs for R users from around the world (2017-11-06)

November 6, 2017
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13 Jobs for R users from around the world (2017-11-06)

To post your R job on the next post Just visit  this link and post a new R job  to the R community. You can post a job for  free  (and there are also “featured job” options available for extra exposure). Current R jobs Job seekers:  please follow the links below to learn more and apply for your R job of interest: Featured Jobs...

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A teeny tiny Twitter tale

November 5, 2017
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A teeny tiny Twitter tale

Use of social media within the NHS to raise awareness of dangerous conditions - We had an event at work today, bringing together clinicians and QI staff across a range of disciplines and services to provide some education and raise awareness ...

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rstudio::conf(2018) program now available!

November 5, 2017
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rstudio::conf 2018, the conference on all things R and RStudio, is only a few months away. Now is the time to claim your spot or grab one of the few remaining seats at Training Days! REGISTER NOW Whether you’re already registered or still ...

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Setting fire to deployment: Heroku

November 5, 2017
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Setting fire to deployment: Heroku

There are many ways to utilize fiery: It can be the engine behind a local running web-app, it can serve a dynamic site running on your own server, or it can serve a more demanding service by running in the cloud. In this post I’m going to focus on one way of achieving the latter, namely by deploying a...

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EARL Presentation on HR Analytics: Using ML to Predict Employee Turnover

EARL Presentation on HR Analytics: Using ML to Predict Employee Turnover

The EARL Boston 2017 conference was held November 1 - 3 in Boston, Mass. There were some excellent presentations illustrating how R is being embraced in enterprises, especially in the financial and pharmaceutical industries. Matt Dancho, founder of Bus...

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pinp 0.0.4: Small tweak

November 5, 2017
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pinp 0.0.4: Small tweak

A maintenance release of our pinp package for snazzier one or two column vignettes is now on CRAN as of yesterday. In version 0.0.3, we disabled the default \pnasbreak command we inherit from the PNAS LaTeX style. That change turns out to have been t...

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Rick and Morty and Tidy Data Principles (Part 3)

November 5, 2017
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Rick and Morty and Tidy Data Principles (Part 3)

Motivation The first and second part of this analysis gave the idea that I did too much scrapping and processing and that deserves more analysis to use that information well. In this third and final part I'm also taking a lot of ideas from Julia Silge's blog. In the GitHub repo of this project you shall find not just Rick...

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Mythical Generic Overhead

November 4, 2017
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Mythical Generic Overhead

Computational overhead analysis of using generic+method approach instead of if-else sequence and switch statement. Prologue Earlier this week I came across this tweet from Thomas (author of many useful and powerful R packages): Should If else blocks that checks class always be converted to generic+methods? Please discuss #rstats— Thomas Lin Pedersen (@thomasp85)...

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You beautiful, naïve, sophisticated newborn series

November 4, 2017
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You beautiful, naïve, sophisticated newborn series

My husband and I recently started watching the wonderful series “Parks and recreation” which was recommended to me by my fellow R-Lady Jennifer Thompson in this very convincing thread. The serie was even endorsed by other R-Ladies. Jennifer told me...

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