Dear Data Scientists – how to ease your job!

March 12, 2020
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Dear Data Scientists – how to ease your job!

You are the modern Indiana Jones of digitalization! Always on the lookout to increase knowledge, show relations and take your organization to the next level. Just like the great discoverers like Leif Eriksson, Vasco da Gama and Lewis and Clark, you never let yourself be stopped from pursuing an idea and discovering new possibilities. As

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All you need to know on clustering with Factoshiny…

March 11, 2020
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All you need to know on clustering with Factoshiny…

The function Factoshiny of the package Factoshiny proposes a complete clustering strategy that allows you: to draw a hierarchical tree and a partition to describe and characterize the clusters by quantitative and categorical variables to consider lots of individuals thanks to the complementarity of Kmeans and clustering algorithms to consider categorical variables or contingency tables Implementation

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Automate the Creation of an API Wrapper package by Scraping its Online Documentation

March 11, 2020
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I’ve recently been building a package to interact with the Rocket.chat API. One thing I don’t like about building API wrapper is that it’s very repetitive: you have to copy and paste things over and over again, for each endpoint of the API. Argum...

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Top 5 R resources on COVID-19 Coronavirus

March 11, 2020
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Top 5 R resources on COVID-19 Coronavirus

R Shiny apps Coronavirus tracker COVID-19 outbreak R packages {nCov2019} R code Analyzing COVID-19 outbreak data with R COVID-19 Data Analysis with {tidyverse} and {ggplot2} Data Photo by CDC The Coronavirus is a serious concern around the...

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Persistent config and data for R packages

March 11, 2020
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Does your R package work best with some configuration? You probably want it to be easily found by your package. Does your R package download huge datasets that don’t change much on the provider side? Maybe you want to save the corresponding data somewhere persistent so that things will go faster during the next R session. In this blog post we shall explain...

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one or two?

March 11, 2020
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A superposition of two random walks from The Riddler: Starting from zero, a random walk is produced by choosing moves between ±1 and ±2 at each step. If the choice between both is made towards maximising the probability of ending up positive after 100 steps, what is this probability? Although the optimal path is not

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AsioHeaders 1.12.2-1

March 11, 2020
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An updated minor version of the AsioHeaders package arrived on CRAN today. Asio provides a cross-platform C++ library for network and low-level I/O programming. It is also included in Boost – but requires linking when used as part of Boost. This st...

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Naming conventions for variables, functions, etc.

March 11, 2020
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The golden rule of code layout is that code should be written to be readable. And that means readable by others, including you in the future. Three principles of naming follow: 1. Names should mean something. 2. Names should be as short as possible. 3. Use your judgement to balance (1) and (2). The third

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March 2020 ISC call for proposals – Now Open!

March 11, 2020
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The March 2020 ISC Call for Proposals is now open. Once again, we are looking for ambitious projects that will contribute to the infrastructure of the R ecosystem and benefit... The post March 2020 ISC call for proposals – Now Open! appeared first on R Consortium.

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Why R? 2020 Conference – Registration and Call for Papers

March 11, 2020
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Why R? 2020 Conference – Registration and Call for Papers

Three editions of Why R? conferences were a great networking success. During each edition, we gathered around 250-300 R enthusiasts from Europe and we managed to carry out more than 35 workshops. Desire for a bigger event led us to the 4th edition! ...

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Defining your own shortcut in RStudio

March 11, 2020
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Defining your own shortcut in RStudio

In this blog post, Matthias shows you how to write and structure code even faster and more efficiently. Learn how to define keyboard shortcuts in RStudio with his step-by-step tutorial. Der Beitrag Defining your own shortcut in RStudio erschien zuerst auf STATWORX.

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Can Trade Explain Covid -19 Cases?

March 10, 2020
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Can Trade Explain Covid -19 Cases?

TLDR: I've found an association between number of people that tested positive for COVID-19 in a country and imports from China. In addition there are particular industries that are particularly correlated with COVID-19 rates. Iran is still an outlier taking this information into account.  Intro: Coronavirus (COVID-19) rates of infection outside of China have not applied to countries uniformly. As of...

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Cross-Methods are a Leak/Variance Trade-Off

March 10, 2020
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We have a new Win Vector data science article to share: Cross-Methods are a Leak/Variance Trade-Off John Mount (Win Vector LLC), Nina Zumel (Win Vector LLC) March 10, 2020 We work some exciting examples of when cross-methods (cross validation, and also cross-frames) work, and when they do not work. Abstract Cross-methods such as cross-validation, and … Continue reading Cross-Methods...

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R 3.6.3 is available, marking the 20th anniversary of R 1.0.0

March 10, 2020
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R 3.6.3 is available, marking the 20th anniversary of R 1.0.0

On February 29, R 3.6.3 was released and is now available for Windows, Linux and Mac systems. This update, codenamed "Holding the Windsock", fixes a few minor bugs, and as a minor update maintains compatibility with scripts and packages written for prior versions of R 3.6. February 29 is an auspicious date, because that was the day that R...

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Want to Build an AI Model for Your Business? Read this.

March 10, 2020
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Want to Build an AI Model for Your Business? Read this.

TL;DR Artificial Intelligence, Machine Learning, and Deep Learning models have demonstrated significant power to grow and improve businesses. We have found that the best approach to AI production is what venture capitalists do when they evaluate and invest in startups. A 2019 McKinsey survey found that a majority of executives whose companies have adopted AI Article Want to Build...

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Solutions to working with small sample sizes

March 10, 2020
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Solutions to working with small sample sizes

Both in science and business, we often experience difficulties collecting enough data to test our hypotheses, either because target groups are small or hard to access, or because data collection entails prohibitive costs. Such obstacles may result in data sets that are too small for the complexity of the statistical model needed to answer the … Continue reading Solutions...

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quantmod_0.4-16 on CRAN

March 10, 2020
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A new version of quantmod is on CRAN! One really cool thing about this release is that almost all the changes are contributions from the community.Ethan Smith made more excellent contributions to getQuote() in this release. It no longer throws an error if one or more symbols are missing.  And it handles multiple symbols in a semicolon-delimted string, just like...

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Preprocessing and resampling using #TidyTuesday college data

March 9, 2020
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Preprocessing and resampling using #TidyTuesday college data

I’ve been publishing screencasts demonstrating how to use the tidymodels framework, from first getting started to how to tune machine learning models. Today, I’m using this week’s #TidyTuesday dataset on college tuition and diversity at US colleges to show some data preprocessing steps and how to use resampling! Here is the code I used in the video,...

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Explainbility of {tidymodels} models with {iml}

Explainbility of {tidymodels} models with {iml}

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Comparing Machine Learning Algorithms for Predicting Clothing Classes: Part 3

March 9, 2020
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Comparing Machine Learning Algorithms for Predicting Clothing Classes: Part 3

Florianne Verkroost is a Ph.D. candidate at Nuffield College at the University of Oxford. She has a passion for data science and a background in mathematics and econometrics. She applies her interdisciplinary knowledge to computationally address societal problems of inequality. This is the third post in a series devoted to comparing different machine learning methods for predicting clothing categories from...

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RStudio 1.3 Preview: Remote Sessions in RStudio Desktop Pro

March 9, 2020
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RStudio 1.3 Preview: Remote Sessions in RStudio Desktop Pro

This blog post is part of a series on new features in RStudio 1.3, currently available as a preview release. Today, we’re going to talk about an exciting new feature of RStudio Desktop Pro - the ability to connect to remote sessions running on an existing RStudio Server Pro instance. This new Desktop Pro feature allows you to launch sessions...

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Coronavirus data analysis with R, tidyverse and ggplot2

March 9, 2020
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Coronavirus data analysis with R, tidyverse and ggplot2

Coronavirus data analysis – an analysis of data around the Novel Coronavirus (COVID-19) with R, tidyverse and ggplot2. Download full analysis reports at links below. Coronavirus data analysis – world wide http://www.rdatamining.com/docs/Coronavirus-data-analysis-world.pdf Coronavirus data analysis – China http://www.rdatamining.com/docs/Coronavirus-data-analysis-china.pdf

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!ABC%in%Grenoble

March 9, 2020
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!ABC%in%Grenoble

Most regrettably, the incoming ABC in Grenoble, planned on 19-20 March 2020 is now postponed till a yet unspecified date, like next Summer or next Fall. Due to travel disruptions all over the World and to gathering restrictions in France, courtesy of the Covid-19 virus. Not particularly surprising given the avalanche of cancellations, but unfortunate.

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Mapping access to services to estimate community resilience – Edina geoforum

March 9, 2020
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Mapping access to services to estimate community resilience – Edina geoforum

Slides on spatial analysis of community resilience using R, GRASS and QGIS.

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R Shiny vs Tableau (3 Business Application Examples)

March 9, 2020
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R Shiny vs Tableau (3 Business Application Examples)

Shiny, a web framework that is written in R, often gets lumped into the conversation with Tableau and PowerBI - two popular Business Intelligence (BI Tools) used for “Dashboarding”. The critical point is that Shiny is much more than just a dashboar...

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All you need to know to analyse a survey with MCA …

March 8, 2020
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All you need to know to analyse a survey with MCA …

All you need to do with MCA to analyse a survey is in Factoshiny! MCA – Multiple Correspondence Analysis – is a method for exploring and visualizing data obtained from a survey or a questionnaire, i.e. datasets with categorical variables. The function Factoshiny of the package Factoshiny allows you to perform MCA in a really

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poorman: Replicating dplyr’s Join and Filter Join Functions with base R

March 8, 2020
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Introduction In my last post I discussed performing split-apply-combine operations on R data.frames and how this functionality was used within poorman - a base R replica of dplyr. In this post I’d like to talk about replicating dplyr’s join and filter join functionality, again using nothing but base. Joins First of all, let’s set up some data to use for our examples....

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How to perform a one sample t-test by hand and in R: test on one mean

March 8, 2020
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How to perform a one sample t-test by hand and in R: test on one mean

Introduction Null and alternative hypothesis Hypothesis testing Two versions of the one sample t-test How to compute the one sample t-test by hand? Scenario 1: variance of the population is known Scenario 2: variance of the population is unknown How to compute the one sample t-test in R? Scenario 1: variance of the population is known Scenario 2: variance of the population is unknown Confidence interval Assumptions Photo by Helloquence Introduction After having...

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isEven without modulo

March 8, 2020
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You may have seen the memes going around about fun ways to program the straightforward function isEven() which returns TRUE if the input is even, and FALSE otherwise. I had a play with this and it turned into enough for a blog post, and a nice walk through some features of R. The ‘traditional’ way to check if an integer is even is...

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