How to analyze max-diff data in R

May 23, 2017
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How to analyze max-diff data in R

This post discusses a number of options that are available in R for analyzing data from max-diff experiments, using the package flipMaxDiff. For a more detailed explanation of how to analyze max-diff, and what the outputs...

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Preview of EARL San Francisco

May 22, 2017
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The first ever EARL (Enterprise Applications of the R Language) conference in San Francisco will take place on June 5-7 (and it's not too late to register). The EARL...

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The Marcos Lopez de Prado Hierarchical Risk Parity Algorithm

May 22, 2017
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The Marcos Lopez de Prado Hierarchical Risk Parity Algorithm

This post will be about replicating the Marcos Lopez de Prado algorithm from his paper building diversified portfolios that outperform … Continue reading →

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Instrumental Variables in R exercises (Part-2)

May 22, 2017
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Instrumental Variables in R exercises (Part-2)

This is the second part of the series on Instrumental Variables. For other parts of the series follow the tag instrumental variables. In this exercise set we will build...

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Slides, videos, and tweets from the 2017 New York R Conference

May 22, 2017
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Slides, videos, and tweets from the 2017 New York R Conference

In April I attended the 2017 New York R conference, hosted by Lander Analytics and Work-Bench. It was both the third time the conference was held...

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The End of the Honeymoon: Falling Out of Love with quantstrat

May 22, 2017
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The End of the Honeymoon: Falling Out of Love with quantstrat

Introduction I spent good chunks of Friday, Saturday, and Sunday attempting to write another blog post on using R and the quantstrat package for backtesting, and all I have...

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R vs Python: Different similarities and similar differences

May 22, 2017
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R vs Python: Different similarities and similar differences

A debate about which language is better suited for Datascience, R or Python, can set off diehard fans of these languages into a tizzy. This post tries to look...

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Bagging, the perfect solution for model instability

May 22, 2017
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Bagging, the perfect solution for model instability

By Gabriel Vasconcelos Motivation The name bagging comes from boostrap aggregating. It is a machine learning technique proposed by Breiman (1996) to increase stability in potentially unstable estimators. For...

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Connecting R to an Oracle Database

May 22, 2017
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Connecting R to an Oracle Database

R is a very popular language for doing analytics, and particularly statistics, on your data. There are a number of R functions for reading in data, but most of...

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Sunflowers for COLOURlovers

May 22, 2017
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Sunflowers for COLOURlovers

Andar, lo que es andar, anduve encima siempre de las nubes (Del tiempo perdido, Robe) If you give importance to colours, maybe you know already COLOURlovers. As can be...

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Finally, Four Backticks on Github

Finally, Four Backticks on Github

It is always the little things… Over the years, I have been totally happy with almost everything about Github, but I have also been waiting for one little thing: I...

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Arranging subplots with ggplot2

May 21, 2017
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Arranging subplots with ggplot2

For my recently published paper, I produced not-so-standard figures that show the two step decomposition used in the analysis. Have a look:

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Manipulate Biological Data Using Biostrings Package Exercises (Part 1)

May 21, 2017
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Manipulate Biological Data Using Biostrings Package Exercises (Part 1)

Bioinformatics is an amalgamation Biology and Computer science.Biological Data is manipulated using Computers and Computer software’s in Bioinformatics. Biological Data includes DNA; RNA & Protiens. DNA & RNA is...

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A Very Palette-able Post

May 21, 2017
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A Very Palette-able  Post

Many of my posts seem to begin with a link to a tweet, and this one falls into that pattern: And @_inundata is already working on a #rstats palette....

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Using R: When using do in dplyr, don’t forget the dot

May 21, 2017
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Using R: When using do in dplyr, don’t forget the dot

There will be a few posts about switching from plyr/reshape2 for data wrangling to the more contemporary dplyr/tidyr. My most common use of plyr looked something like this: we...

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Shiny Applications Layouts Exercises (Part-9)

May 20, 2017
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Shiny Applications Layouts Exercises (Part-9)

Shiny Application Layouts – Update Input In the ninth part of our series we will see the updated input scenario. This is different from the Dynamic UI example we...

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New series: R and big data (concentrating on Spark and sparklyr)

May 20, 2017
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New series: R and big data (concentrating on Spark and sparklyr)

Win-Vector LLC has recently been teaching how to use R with big data through Spark and sparklyr. We have also been helping clients become productive on R/Spark infrastructure through...

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Sankey charts for swinging voters

Sankey charts for swinging voters

Continuing my examination of the individual level voting behaviour from the New Zealand Election Study, I wanted to look at the way individuals swap between parties, and between “did...

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R Weekly Bulletin Vol – IX

May 20, 2017
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R Weekly Bulletin Vol – IX

This week’s R bulletin will cover topics on how to list files, extracting file names, and creating a folder using R. Hope you like this R weekly bulletin. Enjoy...

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Which science is all around? #BillMeetScienceTwitter

May 19, 2017
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Which science is all around? #BillMeetScienceTwitter

I’ll admit I didn’t really know who Bill Nye was before yesterday. His name sounds a bit like Bill Nighy’s, that’s all I knew. But well science is all...

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New R Users group in Münster!

May 19, 2017
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New R Users group in Münster!

This is to announce that Münster now has its very own R users group! If you are from the area, come join us (or if you happen to know someone...

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A Primer in Functional Programming in R Exercises (Part – 1)

May 19, 2017
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A Primer in Functional Programming in R Exercises (Part – 1)

In the exercises below we cover the basics of functional programming in R( part 1 of a two series exercises on functional programming) . We consider recursion with R...

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Text Mining with R: A Tidy Approach

Text Mining with R: A Tidy Approach

About the book This book applies tidy data principles to text analysis. The aim is to present tools to make many text mining tasks easier, more effective, and...

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AzureDSVM: a new R package for elastic use of the Azure Data Science Virtual Machine

May 19, 2017
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by Le Zhang (Data Scientist, Microsoft) and Graham Williams (Director of Data Science, Microsoft) The Azure Data Science Virtual Machine (DSVM) is a curated VM which provides commonly-used tools...

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R/Finance 2017 livestreaming today and tomorrow

May 19, 2017
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If you weren't able to make it to Chicago for R/Finance, the annual conference devoted to applications of R in the financial industry, don't fret: the entire conference is...

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Improving automatic document production with R

May 19, 2017
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Improving automatic document production with R

In this post, I describe the latest iteration of my automatic document production with R. It improves upon the methods used in Rtraining, and previous work on this topic...

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How to interpret correspondence analysis plots (it probably isn’t the way you think)

May 19, 2017
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How to interpret correspondence analysis plots (it probably isn’t the way you think)

Correspondence analysis is a popular data science technique. It takes a large table, and turns it into a seemingly easy-to-read visualization. Unfortunately,...

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2017-01 Variable-width lines in R

May 18, 2017
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This document describes the ‘vwline’ package, which provides an R interface for drawing variable-width curves. The package provides functions to draw line segments through a set of locations, or...

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Review of Efficient R Programming

May 18, 2017
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Review of Efficient R Programming

In the crowded market space of data science and R language books, Lovelace and Gillespie’s Efficient R Programming...

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