Workarounds to include R stat functions in data science pipelines

Workarounds to include R stat functions in data science pipelines

This post explores some of the possible workarounds that can be employed if you want to include non-pipe-aware functions to magrittr pipelines without using intubate and, at the end, the intubate alternative. See intubate <||> R stat functions in...

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Webscraping with rvest: So Easy Even An MBA Can Do It!

November 6, 2016
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Webscraping with rvest: So Easy Even An MBA Can Do It!

This is the fourth installment in our series about web scraping with R. This includes practical examples for the leading R web scraping packages, including: RCurl package The post Webscraping with rvest: So Easy Even An MBA Can Do It! appeared first on ProgrammingR.

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MPGView: Find the Vehicle Best for Fuel Economy

November 6, 2016
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MPGView: Find the Vehicle Best for Fuel Economy

America is a nation on wheels. According to 2014 stats, there are 797 cars owned per 1000 people in America.ref Besides paying the price for the vehicle, The post MPGView: Find the Vehicle Best for Fuel Economy appeared first on NYC Data Science Academy Blog.

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Subprocess in R?

November 6, 2016
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Subprocess in R?

I’ve been trying to find a R equivalent to Python’s subprocess and so far I’ve failed. Since a capability to handle child processes in a way that’s more sophisticated than a simple system() call (R has two of them, system() and system2()) might turn out handy I decided to build a new package for R. It’s name is … More...

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Is ‘Yeah’ Josh and Chuck’s favorite word?

November 5, 2016
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Is ‘Yeah’ Josh and Chuck’s favorite word?

Text mining and sentiment analysis of a Stuff You Should Know Podcast Stuff You Should Know (or SYSK) is one of the many great podcasts from How Stuff Works. The two SYSK hosts Josh and Chuck have taught me so many fascinating things over the years,...

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A Simple Guide to S3 Methods

November 5, 2016
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A few months ago I wrote about my first solo author submission to the R Journal entitled, “A Simple Guide to S3 Methods”. Unfortunately the article didn’t make it to publication on the R Journal, but admittedly that might have been a bit of a lon...

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Timeseries forecasting using extreme gradient boosting

November 5, 2016
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Timeseries forecasting using extreme gradient boosting

In the last few years there have been more attempts at a fresh approach to statistical timeseries forecasting using the increasingly accessible tools of machine learning. This means methods like neural networks and extreme gradient boosting, as supple...

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Shiny Server (Pro) 1.5

November 4, 2016
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Shiny Server (Pro) 1.5

Shiny Server 1.5.1.834 and Shiny Server Pro 1.5.1.760 are now available. The Shiny Server 1.5.x release family upgrades our underlying Node.js engine from 0.10.47 to 6.9.1. The impetus for this change was not stability or performance, but because the 0.10.x release family has reached the end of its life. We highly recommend that you test

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New Expansion of the R Course Finder!

November 4, 2016
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New Expansion of the R Course Finder!

On the 1st of september we launched R course finder, an online directory that helps you to find the right R course quickly. With so many R courses available online, we thought it was a good idea to offer a tool that helps people to compare these courses, before they decide where to spend their

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Feuilleton

November 4, 2016
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Feuilleton

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LR02: SD line, GoA, Regression

LR02: SD line, GoA, Regression

This posts continues the discussion of correlation started on LR01: Correlation. We will try to answer the following questions: Should correlation be used for any pair of data? Does association mean causation? What are ecological correlations? What hap...

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I’ve started writing a ‘book’: Functional programming and unit testing for data munging with R

November 3, 2016
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I have started writing a ‘book’ using the awesome bookdown package. In the book I explain and show why using functional programming and putting your functions in your own packages is the way to go when you want to clean, prepare and transform lar...

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New R package: packagedocs

November 3, 2016
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I’m pleased to announce the CRAN release of packagedocs which provides a mechanism for simple generation and automated deployment of nice-looking online R package documentation that plugs into the traditional R package vignette system. You can see...

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ratio-of-uniforms [#3]

November 3, 2016
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ratio-of-uniforms [#3]

Being still puzzled (!) by the ratio-of-uniform approach, mostly failing to catch its relevance for either standard distributions in a era when computing a cosine or an exponential is negligible, or non-standard distributions for which computing bounds and boundaries is out-of-reach, I kept searching for solutions that would include unbounded densities and still produce compact

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Download product information and reviews from Amazon.com

November 3, 2016
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Rmazon The goal of Rmazon is to help you download product information and reviews from Amazon.com easily. Installation You can install Rmazon from github with: # install.packages("devtools") devtools::install_github("56north/Rmazon") Example – product information This is a basic example which shows you how ro get product information: # Get product information for 'The Art of R Programming:... Read more »

RTutor: CO2 Trading and Risk of Firm Relocation

November 3, 2016
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RTutor: CO2 Trading and Risk of Firm Relocation

Many economists would agree that the most efficient way to fight global warming would be a world-wide tax or an emmission trading system for greenhouse gases. Yet, if only a part of the world implements such a scheme, a reasonable concern is that firms...

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Parse NOAA Integrated Surface Data Files

November 3, 2016
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Parse NOAA Integrated Surface Data Files

A new package isdparser is on CRAN. isdparser was in part liberated from rnoaa, then improved. We'll use isdparser in rnoaa soon. isdparser does not download files for you from NOAA's ftp servers. The package focuses on parsing the files, which are variable length ASCII strings stored line by line, where each line has some mandatory data, and any amount of optional data. The...

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showCategory parameter for visualizing compareCluster output

November 2, 2016
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showCategory parameter for visualizing compareCluster output

I am using dotplot() to visualize results from enrichGO(), enrichDO(), enricher() and compareCluster() in clusterProfiler R package. When specifying showCategory, I get the right number of categories except with the results of compareCluser(). In my case, I use compareCluster() on a list of 3 elements: str(ClusterList) List of 3 $ All : chr "89886" "29923" "100132891" "101410536" ... $ g1 ...

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rbokeh Version 0.5.0 Released

November 2, 2016
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The rbokeh package version 0.5.0 was recently released. For those not familiar with rbokeh, it is a plotting library based on BokehJS with the goal of making it easy to flexibly create declarative interactive web-based visualizations in R. To get an o...

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je reviendrai à Montréal [MCM 2017]

November 2, 2016
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je reviendrai à Montréal [MCM 2017]

Next summer of 2017, the biennial International Conference on Monte Carlo Methods and Applications (MCM) will take place in Montréal, Québec, Canada, on July 3-7. This is a mathematically-oriented meeting that works in alternance with MCqMC and that is “devoted to the study of stochastic simulation and Monte Carlo methods in general, from the theoretical

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BelgiumMaps.StatBel: R package with Administrative boundaries of Belgium

BelgiumMaps.StatBel: R package with Administrative boundaries of Belgium

We recently opened up the BelgiumMaps.StatBel package and made it available at https://github.com/bnosac/BelgiumMaps.StatBel. This R package contains maps with administrative boundaries (national, regions, provinces, districts, municipalities, statistical sectors, agglomerations (200m)) of Belgium extracted from Open Data at Statistics Belgium.  The package is a data-only package where maps of administrative zones in Belgium are available...

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Announcing RStudio v1.0!

November 2, 2016
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Announcing RStudio v1.0!

Today we’re very pleased to announce the availability of RStudio Version 1.0! Version 1.0 is our 10th major release since the initial launch in February 2011 (see the full release history below), and our biggest ever! Highlights include: Authoring tools for R Notebooks. Integrated support for the sparklyr package (R interface to Spark). Performance profiling via

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Map Projections for R Shapefiles: United States

November 2, 2016
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Map Projections for R Shapefiles: United States

Someone contacted me recently about the map projections used in my blscrapeR package. After a bit of web searching, I couldn’t find a really good list of map projections for the continental U.S. that could be used in R. This list is as much for my own reference as anyone else, but hope you find

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A Bayesian election prediction, implemented with R and Stan

November 2, 2016
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A Bayesian election prediction, implemented with R and Stan

If the media coverage is anything to go by, people are desperate to know who will win the US election on November 8. Polls give us some indication of what's likely to happen, but any single poll isn't a great guide (despite the hype that accompanies some of them). One poll is subject to any number of possible errors,...

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Asynchronous and Distributed Programming in R with the Future Package

November 2, 2016
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Asynchronous and Distributed Programming in R with the Future Package

Every now and again someone comes along and writes an R package that I consider to be a ‘game changer’ for the language and it’s application to Data Science. For example, I consider dplyr one such package as it has … Continue reading →

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Naive Bayes: A Generative Model and Big Data Classifier

November 2, 2016
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Descriptive Analytics-Part 2 : Data Imputation

November 2, 2016
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Descriptive Analytics-Part 2 : Data Imputation

Descriptive Analytics is the examination of data or content, usually manually performed, to answer the question “What happened?”. In order to be able to solve this set of exercises you should have solved the part 0 and’part 1 of this series, in case you haven’t you can find the solutions to run them in your

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“smooth” package for R. es() function. Part II. Pure additive models

November 2, 2016
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“smooth” package for R. es() function. Part II. Pure additive models

A bit of statistics As mentioned in the previous post, all the details of models underlying functions of “smooth” package can be found in extensive documentation. Here I want to discuss several basic, important aspects of statistical model underlying and how it is implementated in R. Today we will have a look at basic

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Santa’s Little Helper – a function for randomly assigning Secret Santa presents

November 1, 2016
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Santa’s Little Helper – a function for randomly assigning Secret Santa presents

Christmas can be a stressful and expensive time of year, with many gifts to buy for many people. My family have tried to eliminate some of this stress by having a Secret Santa gifting system where we all buy one … Continue reading →

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