January 2019

Rcpp, Camarón de la Isla and the Beauty of Maths

January 10, 2019 | @aschinchon

Desde que te estoy queriendo yo no sé lo que me pasa cualquier vereda que tomo siempre me lleva a tu casa(Y mira que mira y mira, Camarón de la Isla) The verses that head this post are taken from a song of Camarón de la Isla ...

$x_{n+1}= a_{1}+a_{2}x_{n}+a_{3}y_{n}+a_{4} |x_{n}|^{a_5}+a_{6} |y_{n}|^{a_7}\\ y_{n+1}= a_{8}+a_{9}x_{n}+a_{10}y_{n}+a_{11} |x_{n}|^{a_{12}}+a_{13} |y_{n}|^{a_{14}}$

JSON Payload for POST Request

January 9, 2019 | R on datawookie

Starting with JSON body because this is the way that most API documentation will give you the payload examples. body = '{ "filters": { "keywords": ["money","government"], "award_type_codes": [ "A", "B", "C", "D" ] }, "fields": [ "Award ID", "Mod", "Recipient Name", "Action Date", "Transaction Amount", "Awarding Agency", "Awarding Sub Agency", "Award Type" ], "page": 1, "... [Read more...]

Six Sigma DMAIC Series in R – Part 5

January 9, 2019 | Kamal Kumar

CategoriesBasic Statistics Tags Best R Packages Data Visualisation Prediction R Programming Hope you liked the Part 1, Part 2, Part 3, and Part 4 of this series. In this Part 5, we are going to discuss tools used during the Control phase of Six Sigma DMAIC cycle. The aim of the control phase is to ...

My presentations on ‘Elements of Neural Networks & Deep Learning’ -Part1,2,3

January 9, 2019 | Tinniam V Ganesh

I will be uploading a series of presentations on ‘Elements of Neural Networks and Deep Learning’. In these video presentations I discuss the derivations of L -Layer Deep Learning Networks, starting from the basics. The corresponding implementations are available in vectorized R, Python and Octave are available in my book ‘...

A New Way to Handle Multivariate Outliers

January 9, 2019 | R on Will Hipson

Psychologists often have a standoffish attitude toward outliers. Developmental psychologists, in particular, seem uncomfortable with removing cases because of the challenges inherent in obtaining data in the first place. However, the process of identifying and (sometimes) removing outliers is not a witch hunt to cleanse datasets of “weird” cases; rather, ...

A Look Back on 2018: Part 1

January 9, 2019 | R Views

Welcome to Reproducible Finance 2019! It’s a new year, a new beginning, the Earth has completed one more trip around the sun, and that means it’s time to look back on the previous January to December cycle. Today and next time, we’ll explore the returns and volatilities of ...

baRcodeR 0.1.2 release – new linear barcodes

January 9, 2019 | R on YIHAN WU

baRcodeR 0.1.2 is released on CRAN today! Download and install by

install.packages("baRcodeR")

Example linear barcode The major feature of this release is the ability to print linear (a.k.a normal) barcodes through specifying type = "linear" in create_PDF() rather than type = "matrix" which prints the usual QR code. The github ...

vitae: Dynamic CVs with R Markdown

January 9, 2019 | rOpenSci - open tools for open science

Why vitae? The process of maintaining a CV can be tedious. It’s a task I often forget about - that is until someone requests it and I find that my latest is woefully out of date. To make matters worse, these professional updates often need repeating across variety of ...

Considering sensitivity to unmeasured confounding: part 2

January 9, 2019 | Keith Goldfeld

In part 1 of this 2-part series, I introduced the notion of sensitivity to unmeasured confounding in the context of an observational data analysis. I argued that an estimate of an association between an observed exposure \(D\) and outcome \(Y\) is sensitive to unmeasured confounding if we can conceive of a ...

Updated Review: jamovi User Interface to R

January 9, 2019 | Bob Muenchen

Last February I reviewed the jamovi menu-based front end to R. I’ve reviewed five more user interfaces since then, and have developed a more comprehensive template to make it easier to compare them all. Now I’m cycling back to jamovi, … Continue reading →

On the Road to 0.8.0 — Some Additional New Features Coming in the sergeant Package

January 9, 2019 | hrbrmstr

It was probably not difficult to discern from my previous Drill-themed post that I’m fairly excited about the Apache Drill 1.15.0 release. I’ve rounded out most of the existing corners for it in preparation for a long-overdue CRAN update and have been concentrating on two helper features: configuring & launching ...

R NewYorkers Feeling the Holiday Spirit? Here’s Your Tip

January 9, 2019 | Ben Waxer

Combining Pivot Billions with R to dive into whether the holiday spirit inspires bigger tips and which parts of New York experience this effect the most. The holiday season brings with it a degree of cheer and joy that many claim makes people act friendlier towards each other. I wanted ...

Animating Data Transformations: Part II

January 9, 2019 | Eric Hare

In our previous series on Animating Data Transformations, we showed you how to use gganimate to construct an animation which illustrates the process of going between tall and wide representations of data. Today, we will show the same procedure for constructing an animation of the unnest() function. The unnest() function ...

Moin Moin R – programming in Hamburg

January 9, 2019 | eoda GmbH

The concept of extracting valuable information from Big Data requires powerful statistic tools. The free programming language R is one of the leading programming languages whose core functions are statistical… [Read more...]

Understanding the maths of Computed Tomography (CT) scans

January 9, 2019 | Learning Machines

Noseman is having a headache and as an old-school hypochondriac he goes to see his doctor. His doctor is quite worried and makes an appointment with a radiologist for Noseman to get a CT scan. Because Noseman always wants to know how things work he asks the radiologist about the ... [Read more...]

A deep dive into glmnet: offset

January 9, 2019 | kjytay

I’m writing a series of posts on various function options of the glmnet function (from the package of the same name), hoping to give more detail and insight beyond R’s documentation. In this post, we will look at the offset … Continue reading →

$\lambda = 0.1$

Dow Jones Stock Market Index (4/4): Trade Volume GARCH Model

January 8, 2019 | Giorgio Garziano

CategoriesAdvanced Modeling Tags Data Visualisation Linear Regression R Programming This is the final part of the 4-series posts. In this fourth post, I am going to build an ARMA-GARCH model for Dow Jones Industrial Average (DJIA) daily trade volume log ratio. You can read the other three parts in the ...

Analysis of Connecticut Tax Load by Income Bracket

January 8, 2019 | R on Redwall Analytics

Introduction This brief study finds that Connecticut residents pay $62-63 billion annually in total taxes (including: Federal, State, Municipal Real Estate, Sales, FICA, Medicare) on adjusted gross income of $165-167 billion (an effective tax rate of 37-38%). Some taxes, such as FICA and Medicare, might be considered forms of savings ...

East-West Divide

January 8, 2019 | R | Quantum Jitter

theme_set(theme_bw())

cols <- wes_palette(8, name = "FantasticFox1", type = "continuous")

When tensions heightened at the United Nations early in 2019, I wondered whether we had drawn closer, or farther apart, over the decades since the body was established in 1945. I’ll see if I can garner a clue by performing cluster analysis on the General Assembly voting of five of ...

Making a one pager

January 8, 2019 | Analysis of AFL

Why might having a one pager be handy. You might be really into fantasy sports so want to keep information like points given up by position handy. Lets say you are playing a mate in your favourite fantasy league, having information like points given ... [Read more...]

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