Surface Renewal Analysis for Energy Flux Exchanges in an Ecosystem: 1: Calculating Ramp Characteristics using R.

July 13, 2017
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Surface Renewal Analysis for Energy Flux Exchanges in an Ecosystem: 1: Calculating Ramp Characteristics using R.

Summary: The application of Surface Renewal (SR) analysis as an alternative to energy and gaseous flux measurements using eddy covariance has gained prominence as a less costly and reliable method.  The R code provided in this post is the first of two posts. In this first post  R programming language is applied to calculate ramp … Continue reading Surface...

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Parallel Computing Exercises: Foreach and DoParallel (Part-2)

July 13, 2017
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Parallel Computing Exercises: Foreach and DoParallel (Part-2)

In general, foreach is a statement for iterating over items in a collection without using any explicit counter. In R, it is also a way to run code in parallel, which may be more convenient and readable that the sfLapply function (considered in the previous set of exercises of this series) or other apply-alike functions. Related exercise sets: Parallel Computing...

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From Khrushchev to Kaggle: The Russian Real Estate Market

July 13, 2017
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From Khrushchev to Kaggle: The Russian Real Estate Market

In April 2017, Sberbank, Russia’s oldest and largest bank, created a Kaggle competition with the goal of predicting realty prices in Moscow. Given Russia’s volatile economy, The post From Khrushchev to Kaggle: The Russian Real Estate Market appeared first on NYC Data Science Academy Blog.

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Interactive sunbuRst graphs in Power BI in 5 minutes!!

July 13, 2017
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Interactive sunbuRst graphs in Power BI in 5 minutes!!

Introduction If I mention Power BI to fellow data scientists I often get strange looks. However, I quite like the tool, it is an easy and fast way to share results, KPI’s and graphs with others. With the latest release, Power BI now … Continue reading →

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Course on Multiple Correspondence Analysis with FactoMineR

July 13, 2017
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Course on Multiple Correspondence Analysis with FactoMineR

Here is a course with videos that present Multiple Correspondence Analysis in a French way. The most well-known use of Multiple Correspondence Analysis is: surveys. Four videos present a course on MCA, highlighting the way to interpret the data. Then  you will find videos presenting the way to implement MCA in FactoMineR, to deal with

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Correspondence Analysis with FactoMineR

July 13, 2017
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Correspondence Analysis with FactoMineR

Here is a course with videos that present Correspondence Analysis in a French way. Five videos present a course on CA, highlighting the way to interpret the data. Then  you will find videos presenting the way to implement in FactoMineR. With this course, you will be stand-alone to perform and interpret results obtain with Correspondence

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PCA course using FactoMineR

July 13, 2017
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PCA course using FactoMineR

Here is a course with videos that present Principal Component Analysis in a French way. Three videos present a course on PCA, highlighting the way to interpret the data. Then  you will find videos presenting the way to implement in FactoMineR, to deal with missing values in PCA thanks to the package missMDA and lastly

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Using the iGraph package to Analyse the Enron Corpus

July 12, 2017
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Using the iGraph package to Analyse the Enron Corpus

Instructions on how to use R and iGraph to analyse the Enron email corpus. This article describes how to research relationships between employees. Continue reading → The post Using the iGraph package to Analyse the Enron Corpus appeared first on The Devil is in the Data.

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The R Survey

July 12, 2017
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The R Survey

The R Consortium is undertaking a multi-year effort to survey the whole R world. In a rather low-key blog post at the end of last month, the R Consortium’s technical committee, the Infrastructure Steering Committee (ISC), launched its prototype survey of R users. The idea is to use the information gleaned from the exploratory questions in this first survey...

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haven 1.1.0

July 12, 2017
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I’m pleased to announce the release of haven 1.1.0. Haven is designed to faciliate the transfer of data between R and SAS, SPSS, and Stata. It makes it easy to read SAS, SPSS, and Stata file formats in to R data frames, and makes it easy to save your R data frames in to SPSS and Stata if you...

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RNG impact on MCMC [or lack thereof]

July 12, 2017
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RNG impact on MCMC [or lack thereof]

Following the talk at MCM 2017 about the strange impact of the random generator on the outcome of an MCMC generator, I tried in Montréal airport the following code on the banana target of Haario et al. (1999), copied from Soetaert and Laine and using the MCMC function of the FME package: library(FME) Banana

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Better Grouped Summaries in dplyr

July 12, 2017
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For R dplyr users one of the promises of the new rlang/tidyeval system is an improved ability to program over dplyr itself. In particular to add new verbs that encapsulate previously compound steps into better self-documenting atomic steps. Let’s take a look at this capability. First let’s start dplyr. suppressPackageStartupMessages(library("dplyr")) packageVersion("dplyr") ## '0.7.1.9000' A … Continue reading Better...

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Data Science Accelerator for Credit Risk Prediction

July 12, 2017
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Data Science Accelerator for Credit Risk Prediction

by Fang Zhou, Data Scientist; Graham Williams, Director of Data Science, all at Microsoft Credit Risk Scoring is a classic but increasingly important operation in banking as banks are becoming far more risk careful when lending for mortgages, credit card payments or other commercial purposes, in an industry known for fierce competition and the global financial crisis. With an...

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Analyzing Obesity across USA

July 12, 2017
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Analyzing Obesity across USA

The main aim of this project is to study the states which had the most obese population among adults and children as well as teens in USA. Secondly, another objective of this project is to learn how to scrape data in R from an HTML page using rvest package and generate beautiful maps using ggplot Related Post Can we predict...

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Who turned out to vote in the 2014 New Zealand general election? by @ellis2013nz

July 12, 2017
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Who turned out to vote in the 2014 New Zealand general election? by @ellis2013nz

Motivation This thread on Twitter prompted some questions for me about who actually turns up to vote in New Zealand’s elections. With limited time, I can’t answer many of the important questions raised in that thread and the article it refers to ...

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Reigniting the fire: A roadmap for fiery

July 11, 2017
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Reigniting the fire: A roadmap for fiery

Last summer, just prior to starting as an intern working for Hadley, I published fiery, a flexible webserver framework that I had worked on during the spring. The reason why I developed fiery amids offerings such as shiny, opencpu, and plumbr was that ...

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Introduction to Volatility

July 11, 2017
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This is the beginning of a series on portfolio volatility, variance, and standard deviation. I realize that it’s a lot more fun to fantasize about analyzing stock returns, which is why television shows and websites constantly update the daily market returns and give them snazzy green and red colors. But good ol’ volatility is quite important in its own...

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Registration open for rstudio::conf 2018!

July 11, 2017
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Registration open for rstudio::conf 2018!

RStudio is very excited to announce that rstudio::conf 2018 is open for registration! rstudio::conf, the conference on all things R and RStudio, will take place February 2 and 3, 2018 in San Diego, California, preceded by Training Days on January 31 and February 1. This year’s conference will feature keynotes from Di Cook, Monash University Professor and Iowa State University Emeritus...

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easy riddle

July 11, 2017
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easy riddle

From the current Riddler, a problem that only requires a few lines of code and a few seconds of reasoning. Or not. N households each stole the earnings from one of the (N-1) other households, one at a time. What is the probability that a given household is not burglarised? And what are the expected

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Asynchronous API calls with postlightmercury

July 11, 2017
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Asynchronous API calls with postlightmercury

In this post I’ll tell you about a new package I’ve built and also take you under the hood to show you a really cool thing thats going on: asynchronous API calls. The package: postlightmercury I created a package called postlightmercury which is now on cran. The package is a wrapper for the Mercury web parser by Postlight.... Read more »

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Take the R Consortium survey on R

July 11, 2017
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Since its foundation just a little over two years ago, the R Consortium has been dedicated to providing support to the R Project and the R community. Already, the R Consortium has channeled the contributions from its corporate members to fund more than 25 projects, working groups, and community initiatives. Recently funded initiatives include a code coverage tool for...

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Data Visualization with googleVis exercises part 6

July 11, 2017
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Data Visualization with googleVis exercises part 6

Geographical Charts In part 6 of this series we are going to see some amazing geographical charts that googleVis provides. Read the examples below to understand the logic of what we are going to do and then test yous skills with the exercise set we prepared for you. Lets begin! Answers to the exercises are Related exercise sets: Data Visualization...

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Install R and Python via Homebrew

Original posted on 2017-01-08Updated posted on 2017-07-12 Why should you do this? With a single brew upgrade you can save yourself a headache and valuable time when you need newer software versions. Besides that, R binaries from CRAN and OS X stock Python can give problems with different libraries. Here are some examples of unexpected situations of the mentioned versions: I built...

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R and GNU tools via Homebrew

Original posted on 2017-01-08Updated posted on 2017-07-12 Introduction A few months ago I needed to use stock Python. One way to achieve that, and not to use OS X provided version, is to install it using Homebrew. Why I needed that? Python packages installed via pip were not recognised. In recent weeks I needed to compile R packages using linear algebra libraries....

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Dealing with S3 methods in R with a simple example

July 11, 2017
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Dealing with S3 methods in R with a simple example

By Gabriel Vasconcelos S3 objects R has three object systems: S3, S4 and RC. S3 is by far the easiest to work with and it can make you codes much understandable and organized, especially if you are working on a … Continue reading →

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useR!2017 In Retrospect

July 11, 2017
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useR!2017 In Retrospect

This week, the useR!2017 conference took place in Brussels. useR! is the annual international R User conference and is the main meeting of the R user and developer community. More than 1,000 people from all over the world came to Brussels to discover...

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R 3.4.1 is released – with some Windows related bug-fixes

July 11, 2017
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R 3.4.1 is released – with some Windows related bug-fixes

R 3.4.1 (codename “Single Candle”) was released several days ago. You can get the latest binaries version from here. (or the .tar.gz source code from here). As mentioned last week by David Smith, R 3.4.1 includes several Windows related bug fixed: including an issue sometimes encountered when attempting to install packages on Windows, and problems displaying functions including Unicode characters … Continue reading "R...

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Introducing learnr

July 10, 2017
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Introducing learnr

We’re pleased to introduce the learnr package, now available on CRAN. The learnr package makes it easy to turn any R Markdown document into an interactive tutorial. Tutorials consist of content along with interactive components for checking and reinforcing understanding. Tutorials can include any or all of the following: Narrative, figures, illustrations, and equations. Code exercises (R code chunks that users...

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In case you missed it: June 2017 roundup

July 10, 2017
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In case you missed them, here are some articles from June of particular interest to R users. R 3.4.1 "Single Candle" has been released. The Scientific Computing Coordinator at the FDA explains how R is used at the FDA and by sponsors for clinical trial submissions. Several useful tips related to including images in Rmarkdown documents. A review of...

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