Does replyr::let work with data.table?

December 24, 2016
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Does replyr::let work with data.table?

I’ve been asked if the adapter “let” from our R package replyr works with data.table. My answer is: it does work. I am not a data.table user so I am not the one to ask if data.table benefits a from a non-standard evaluation to standard evaluation adapter such as replyr::let. Using replyr::let with data.table looks … Continue...

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Functional programming and unit testing for data munging with R available on Leanpub

December 23, 2016
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The book I’ve been working on these pasts months (you can read about it here, and read it for free here) is now available on Leanpub! You can grab a copy and read it on your ebook reader or on your computer, and what’s even better is that it is av...

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Classification with Linear Discriminant Analysis

December 23, 2016
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Classification with linear discriminant analysis is a common approach to predicting class membership of observations. A previous post explored the descriptive aspect of linear discriminant analysis with data collected on two groups of beetles. In this post, we will use the discriminant functions found in the first post to classify... The post Classification with Linear Discriminant Analysis appeared...

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Get Ready for RStudio::Conf

December 23, 2016
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by Joseph Rickert The 2017 R Conference season will get off to an early start on January 13th and 14th with RStudio::Conf 2017 in Orlando, Florida. The schedule promises an intense but collegial experience with plenty of hands-on practice working with R and the RStudio tool chain of packages and products. To prepare for the

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Merry ChRistmas!

December 23, 2016
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Merry ChRistmas!

Christmas day is soon upon us, so here's a greeting made with R: Each frame is a Voronoi Tesselation: about 1,000 points are chosen across the plane, which each generate a polygon comprising the region closer to it than any other selected point. These process is repeated for three designs (a heart, the word "Merry", and the word "Xmas"),...

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Did you say SQL Server? Yes I did….

December 23, 2016
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Did you say SQL Server? Yes I did….

Introduction My last blog post in 2016 on SQL Server 2016….. Some years ago, I have heard predictions from ‘experts‘ that within a few years Hadoop / Spark systems would take over traditional RDBMS’s like SQL Server. I don’t think … Continue reading →

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forecastHybrid 0.3.0 on CRAN

December 23, 2016
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forecastHybrid 0.3.0 on CRAN

Make it easy to make ensemble time series forecast forecastHybrid is an R package to make it easier to use the average predictions of ‘ensembles’ (or ‘combinations’) of time series models from Rob Hyndman’s forecast package. It looks after t...

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Price Volatility – Basic Brownian Motion

December 23, 2016
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Price Volatility – Basic Brownian Motion

The Situation You are a consultant who has been hired by a business that sells one commodity product. On December 31st the price is $100 per unit. The business owner wants to know what to expect by the end of January. Your client gave you the message: Prices are based off the the sales the

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finch – parse Darwin Core files

December 23, 2016
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finch has just been released to CRAN (binaries should be up soon). finch is a package to parse Darwin Core files. Darwin Core is: a body of standards. It includes a glossary of terms (in other contexts these might be called properties, elements, fields, columns, attributes, or concepts) intended to facilitate the sharing of information about biological diversity by...

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Merry Christmas 2016 (with R)

December 22, 2016
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Merry Christmas 2016 (with R)

I'd like to wish all my readers a Merry Christmas 2016- R style! Behold my 3d Christmas tree created using the plot3D R package: While this might seem like yet another Christmas decoration done in R, it is unique in that the tree is rendered in 3d perspective. I myself wrote...

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Ordering Categories within ggplot2 Facets (followup)

December 22, 2016
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Ordering Categories within ggplot2 Facets (followup)

I saw Simon Jackson’s recent blog post regarding ordering categories within facets. He proposed a way of dealing with the problem of ordering variables shared across facets within facets. This problem becomes apparent in text analysis where words are shared … Continue reading →

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Price Volatility – Basic Brownian Motion

December 22, 2016
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Price Volatility – Basic Brownian Motion

You are a consultant who has been hired by a business that sells one commodity. The business owner wants to know what to expect by the end of January.

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Kindle Clippings

December 22, 2016
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I highlight a lot of junk on my Kindle. Well, it’s not all junk! 💩 There’s usually some good stuff buried deep within my clippings.txt file. But it’s hard to manually parse through the file (and the junk). In the past I’ve relied on online ...

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Goodreads API

December 22, 2016
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Goodreads API

It’s December 23rd and I’ve only read 49 books. Whoops. There’s still time, but it’s definitely getting dicey. I’m about halfway through three books right now so I think I’ll be able to pull it off. Fingers crossed. Of course, last year I ...

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suRprise! – Classifying Kinder Eggs by Boosting

December 22, 2016
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suRprise! – Classifying Kinder Eggs by Boosting

Abstract Carrying the Danish tradition of Juleforsøg to the realm of statistics, we use R to classify the figure content of Kinder Eggs using boosted regression trees for the egg's weight and possible rattling noises. This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. The markdown+Rknitr source code...

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Start me up

December 22, 2016
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The startup package makes it easy to control your R startup processes and to share part of your startup settings with others (e.g. as a public Git repository) while keeping secret parts to yourself. Instead of having long and windy .Renviron and .Rpro...

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Pipes (%>%) Everywhere

December 22, 2016
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An R user asked a question regarding whether it’s possible to have the RStudio pipe (%>%) shortcut (Cmd-Shift-M) available in other macOS applications. If you’re using Alfred then you can use this workflow for said task (IIRC this requires an Alfred license which is reasonably cheap). When you add it to Alfred you must edit... Continue reading...

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Take a Test Drive of the Linux Data Science Virtual Machine

December 22, 2016
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Take a Test Drive of the Linux Data Science Virtual Machine

If you've been thinking about trying out the Data Science Virtual Machine on Linux, but don't yet have an Azure account, you can now take a free test drive -- no credit card required! Just visit the Linux DSVM Marketplace page and click the blue button: The Linux Data Science Virtual Machine includes all of the tools a modern...

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Comparative examples using replyr:let

December 22, 2016
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Comparative examples using replyr:let

Consider the problem of “parametric programming” in R. That is: simply writing correct code before knowing some details, such as the names of the columns your procedure will have to be applied to in the future. Our latest version of replyr::let makes such programming easier. Archie’s Mechanics #2 (1954) copyright Archie Publications (edit: great news! … Continue...

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Model Evaluation 2

December 22, 2016
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Model Evaluation 2

We are committed to bringing you 100% authentic exercise sets. We even try to include as different datasets as possible to give you an understanding of different problems. No more classifying Titanic dataset. R has tons of datasets in its library. This is to encourage you to try as many datasets as possible. We will

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DataCamp’s 2017 Conference Guide

December 22, 2016
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DataCamp’s 2017 Conference Guide

2017 is bound to be an exciting year in Data Science. Here's DataCamp's list of conferences that we're most excited about in the new year. Whether you're an R user, a Python hacker, or just a general data science fan - you're sure to find a great confe...

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Euler Problem 4: Largest Palindromic Product

December 22, 2016
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Euler Problem 4: Largest Palindromic Product

Solution to Euler Problem 4: Find the largest palindrome made from the product of two 3-digit numbers. Continue reading → The post Euler Problem 4: Largest Palindromic Product appeared first on The Devil is in the Data.

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Exploring the European Social Survey (ESS) – pipe-friendly workflow with sjmisc, part 2 #rstats #tidyverse

December 22, 2016
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Exploring the European Social Survey (ESS) – pipe-friendly workflow with sjmisc, part 2 #rstats #tidyverse

This is another post of my series about how my packages integrate into a pipe-friendly workflow. The post focusses on my sjmisc-package, which was just updated on CRAN, and highlights some of the new features. Examples are based on data from the European Social Survey, which are freely available. Steps of the data analysis process

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useR! 2017 website is online

December 22, 2016
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Dear All, We are pleased to announce that the useR! 2017 Conference will take place July 04-07, Brussels, Belgium.  As always, we aim to bring together many participants from the R community. 16 tutorials will be given on July 04, 2017 followed by the main conference onJuly 05, 06 and 07, 2017. More details about the topics, program, social events, accommodation and invited speakers can...

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Animating Plots of Beer Ingredients and Sin Taxes over Time

December 21, 2016
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Animating Plots of Beer Ingredients and Sin Taxes over Time

With the upcoming holidays, I thought it fitting to finally explore the ttbbeer package. It contains data on beer ingredients used in US breweries from 2006 to 2015 and on the (sin) tax rates for beer, champagne, distilled spirits, wine and various tob...

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TrelliscopeJS with Plotly

December 21, 2016
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In response to a user’s request and after a short conversation with Carson Sievert (creator / maintainer of the plotly R package), I recently made a small tweak to TrelliscopeJS to make it very easy to create Trelliscope displays with interactive Plotly panels. A simple example is shown in this post. If you missed earlier posts...

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Tree Troubles — Predicting Sidewalk Damage Resulting From Trees In NYC

December 21, 2016
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Tree Troubles — Predicting Sidewalk Damage Resulting From Trees In NYC

Introduction Tree roots growing under sidewalks often cause cracking or lifting of the pavement once the tree surpasses a certain size. This creates significant tripping hazards The post Tree Troubles -- Predicting Sidewalk Damage Resulting From Trees In NYC appeared first on NYC Data Science Academy Blog.

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R for Enterprise: How to Scale Your Analytics Using R

December 21, 2016
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R for Enterprise: How to Scale Your Analytics Using R

by Sean Lopp At RStudio, we work with many companies interested in scaling R. They typically want to know: How can R scale for big data or big computation? How can R scale for a growing team of data scientists? This post provides a framework for answering both questions. Scaling R for Big Data or

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Introducing the AzureSMR package: Manage Azure services from your R session

December 21, 2016
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by Alan Weaver, Advanced Analytics Specialist at Microsoft Very often data scientists and analysts require access to back-end resources on Azure. For example, they may need to start a virtual machine or resize a Hadoop cluster. This typically requires making a request to the IT department and patiently waiting. AzureSMR is a simple R package that enables those users...

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