weakly informative reparameterisations for location-scale mixtures

January 18, 2017
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weakly informative reparameterisations for location-scale mixtures

We have been working towards a revision of our reparameterisation paper for quite a while now and too advantage of Kate Lee visiting Paris this fortnight to make a final round: we have now arXived (and submitted) the new version. The major change against the earlier version is the extension of the approach to a

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Diversity in the R Community

January 18, 2017
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Diversity in the R Community

In the follow-up to the useR! conference in Stanford last year, the Women in R Task force took the opportunity to survey the 900-or-so participants about their backgrounds, experiences...

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The Genetic Map Comparator: a user-friendly application to display and compare genetic maps

January 18, 2017
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The Genetic Map Comparator: a user-friendly application to display and compare genetic maps

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Two new online R courses on time series (via DataCamp)

January 18, 2017
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shield_image_course_1143_20161219-28-40ljf5

DataCamp recently launched two new online R courses on time series analysis. Introduction to Time Series Analysis What You’ll Learn: Chapter One: Exploratory Time Series Data Analysis (FREE) Learn how...

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Reproducible Finance with R: Sector Correlations

January 18, 2017
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by Jonathan Regenstein Welcome to the first installation of reproducible finance for 2017. It’s a new year, a new President takes office soon, and we could be entering a...

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GitHub Growth Appears Scale Free

January 18, 2017
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GitHub Growth Appears Scale Free

In 2013, a blogger claimed that the growth of GitHub (GH) users follows a certain type of diffusion model called Bass diffusion. Growth here refers to...

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Workout Wednesday Redux (2017 Week 3)

January 18, 2017
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Workout Wednesday Redux (2017 Week 3)

I had started a “52 Vis” initiative back in 2016 to encourage folks to get practice making visualizations since that’s the only way to get better at virtually anything....

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Elements of a successful #openscience #rstats workshop

January 18, 2017
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Elements of a successful #openscience #rstats workshop

What makes an open science workshop effective or successful*? Over the last 15 years, I have had the good fortune to participate in workshops as a student and sometimes...

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RProtoBuf 0.4.8: Windows support for proto3

January 17, 2017
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Issue ticket #20 demonstrated that we had not yet set up Windows for version 3 of Google Protocol Buffers ("Protobuf") -- while the other platforms support it....

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Introducing padr

January 17, 2017
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Introducing padr

I am happy to introduce the padr package, which is now available on CRAN. If you frequently work with data containing a timestamp, especially automatically created data, you might...

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ggedit 0.0.2: a GUI for advanced editing of ggplot2 objects

January 17, 2017
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ggedit 0.0.2: a GUI for advanced editing of ggplot2 objects

Guest post by Jonathan Sidi, Metrum Research Group Last week the updated version of ggedit was presented in RStudio::conf2017. First, a BIG thank you to the whole RStudio team...

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Regression model with auto correlated errors – Part 3, some astrology

January 17, 2017
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Regression model with auto correlated errors – Part 3, some astrology

The results of the study are interesting from an astrological point of view. Astrological signs are divided into groups by order. The first grouping is by alternating order, with...

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R Jobs for R users – 12 jobs from around the world (2017-01-17)

January 17, 2017
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R Jobs for R users – 12 jobs from around the world (2017-01-17)

  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 is also...

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Git Gud with Git and R

January 17, 2017
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Git Gud with Git and R

If you're doing any kind of in-depth programming in the R language (say, creating a report in Rmarkdown, or developing a package) you might want to consider using a...

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Multivariate Apply Exercises

January 17, 2017
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Multivariate Apply Exercises

mapply() works with multivariate arrays, and applys a function to a set of vector or list arguments. mapply() also simplifies the output. Structure of the mapply() function: mapply(FUN, ...,...

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Two meanings of priors, part II: Quantifying uncertainty about model parameters

January 17, 2017
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Two meanings of priors, part II: Quantifying uncertainty about model parameters

by Angelika Stefan & Felix Schönbrodt This is the second part of “Two meanings of priors”. The first part explained a first meaning – “priors as subjective probabilities of...

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New version of WEC: focus on interactions

January 17, 2017
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We have uploaded a new version of WEC, an R package to apply ‘weighted effect coding’ to your dummy variables. With weighted effect coding, your dummy variables represent the...

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EARL 2017: Abstract submissions open for San Francisco and London + San Francisco dates and venue announced

January 17, 2017
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Share your knowledge – speak at EARL 2017 Mango Solutions are delighted to announce the call for abstracts for EARL London and EARL San Francisco 2017. EARL (Effective Applications...

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R For Beginners: Basic Graphics Code to Produce Informative Graphs, Part Two, Working With Big Data

January 16, 2017
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R For Beginners:  Basic Graphics Code to Produce Informative Graphs, Part Two, Working With Big Data

R for beginners: Some basic graphics code to produce informative graphs, part two, working with big data A tutorial by D. M. Wiig In part one of this tutorial...

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The Devil’s in the [Davos] Details — A quick look at this year’s WEF Global Risks Report

January 16, 2017
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The Devil’s in the [Davos] Details — A quick look at this year’s WEF Global Risks Report

It’s Davos time again. Each year the World Economic Forum (WEF) gathers the global elite together to discuss how they’re going to shape our collective future. WEF also releases...

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The fivethirtyeight R package

January 16, 2017
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Andrew Flowers, quantitiative editor of FiveThirtyEight.com, announced at last weeks' RStudio conference the availability of a new R package containing data and analyses from some of their data journalism...

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Data science opinions and tools to support them at rstudio::conf

January 16, 2017
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Data science opinions and tools to support them at rstudio::conf

@drsimonj here to share my big takeaways from rstudio::conf 2017. My aim here is to share the broad data science opinions and challenges that I feel bring...

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Creating beautiful charts in chinese with ggplot2

January 16, 2017
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Creating beautiful charts in chinese with ggplot2

Update Jan 17, 2017: Ruilong Xu (徐瑞龙) warned me that 商務處智利中國 is 商务处智利中国 in traditional characters. Thanks for the correction,Ruilong! I still don't have 2016's official trade numbers,sorry。I also...

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How to really do an analysis in R (part 1, data manipulation)

January 16, 2017
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How to really do an analysis in R (part 1, data manipulation)

For a couple of years, I’ve been writing about the importance of data analysis, saying that data analysis is essentially the foundation of data science itself. While I admit...

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New course: Object-Oriented Programming in R: S3 and R6

January 16, 2017
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New course: Object-Oriented Programming in R: S3 and R6

Our newest course, Object-Oriented Programming in R: S3 and R6 taught by Richie Cotton is now available! Object-oriented programming (OOP) lets you specify relationships between functions and the objects that...

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Two meanings of priors, part I: The plausibility of models

January 16, 2017
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Two meanings of priors, part I: The plausibility of models

by Angelika Stefan & Felix Schönbrodt When reading about Bayesian statistics, you regularly come across terms like “objective priors“, “prior odds”, “prior distribution”, and “normal prior”. However, it may...

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The Meeting Point Locator

January 16, 2017
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The Meeting Point Locator

Hi Hillary, It’s Donald, would you like to have a beer with me in La Cabra Brewing, in Berwyn, Pensilvania? (Hypothetical utilization of The Meeting Point Locator) Finding a place to...

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Choroplethr v3.5.3 is now on CRAN

January 16, 2017
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Choroplethr v3.5.3 is now on CRAN

A new version of choroplethr is now on CRAN. You can get it by typing the following: Motivation This new version was motivated by a few... The post Choroplethr...

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Gelman’s MrP in R – What is this all about?

January 15, 2017
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Multilevel regression with poststratification (MrP) is a useful technique to predict a parameter of interest within small domains through modeling the mean of the variable of interest conditional on...

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