R bloggers

Tips for A/B Testing with R

November 22, 2017
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Tips for A/B Testing with R

Which layout of an advertisement leads to more clicks? Would a different color or position of the purchase button lead to a higher conversion rate? Does a special offer really attract more customers – and which of two phrasings would be better? For a long time,...

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October 2017 New Packages

November 21, 2017
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October 2017 New Packages

Of the 182 new packages that made it to CRAN in October, here are my picks for the “Top 40”. They are organized into eight categories: Engineering, Machine Learning, Numerical Methods, Science, Statistics, Time Series, Utilities and Visualizations. Engineering is a new category, and its appearance may be an early signal for the expansion of R into a new...

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Le Monde puzzle [#1029]

November 21, 2017
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Le Monde puzzle [#1029]

A convoluted counting Le Monde mathematical puzzle: A film theatre has a waiting room and several projection rooms. With four films on display. A first set of 600 spectators enters the waiting room and vote for their favourite film. The most popular film is projected to the spectators who voted for it and the remaining

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4-Day Workshop in Toronto: Learn R, tidyverse, and Shiny with Dean Attali and Kirill Muller

November 21, 2017
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Kirill Muller and I are excited to announce a 4-day R workshop in Toronto on January 23-26, 2018! To register or for more information click here Readers of this blog can receive a 10% discount by using promo code TIDYSHINYTEN (limited-time ...

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xray: The R Package to Have X Ray Vision on your Datasets

November 21, 2017
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xray: The R Package to Have X Ray Vision on your Datasets

This package lets you analyze the variables of a dataset, to evaluate how is the shape of your data. Consider this the first step for modeling.

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βCEA

November 21, 2017
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βCEA

Recently, I've been doing a lot of work on the beta version of BCEA (I was after all born in Agrigento $-$ in the picture to the left $-$, which is a Greek city, so a beta version sounds about right...). The new version is only available as a beta-release from our GitHub repository - usual ways to install it are through...

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Scale up your parallel R workloads with containers and doAzureParallel

November 21, 2017
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Scale up your parallel R workloads with containers and doAzureParallel

by JS Tan (Program Manager, Microsoft) The R language is by and far the most popular statistical language, and has seen massive adoption in both academia and industry. In our new data-centric economy, the models and algorithms that data scientists build in R are not just being used for research and experimentation. They are now also being deployed into...

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dplyr and the design effect in survey samples

November 21, 2017
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Blogdown entry here.For those guys like me who are not such R geeks, this trick could be of interest. The package dplyr can be very useful when it comes to data manipulation and you can extract valuable information from a data frame. For example, when ...

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Practical Machine Learning with R and Python – Part 6

November 21, 2017
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Practical Machine Learning with R and Python – Part 6

Introduction This is the final and concluding part of my series on ‘Practical Machine Learning with R and Python’. In this series I included the implementations of the most common Machine Learning algorithms in R and Python. The algorithms implemented were 1. Practical Machine Learning with R and Python – Part 1 In this initial post, … Continue reading Practical...

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How to Build a Geographic Dashboard with Real-Time Data

November 20, 2017
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How to Build a Geographic Dashboard with Real-Time Data

In this post, I show how to build an interactive geographic dashboard using Displayr, Plotly and R. It is particularly fascinating in that it tracks...

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