Creating MS Word reports using the officer package

February 17, 2020
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Creating MS Word reports using the officer package

Commonly, the final product that a data scientist or a statistician generates is a report, usually in MS Word format. The officer package enables generating such a report from within R. It also enables generating PowerPoint presentations, but this is… Continue reading →

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What `R` you? (R dataframe vs python dataframe)

February 16, 2020
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Recap Previously in this series, we discovered the equivalent python data structures for the following R data structures: vectors lists arrays/matrixes In this post, we will look at translating R data frames into python....

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How to compute the z-score with R

February 16, 2020
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Are you interested in guest posting? Publish at DataScience+ via your RStudio editor. Category Basic Statistics Tags Data Management R Programming Tips & Tricks Sometimes it is necessary to standardize the data due to its...

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Building a base dplyr with primitives

February 15, 2020
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Introduction In one of my latest posts, I discussed the idea of turning base R’s get and set operators ([, [[, [

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Apple Health Export Part I

February 15, 2020
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Apple Health Export Part I

This post is Part I of a dive into the contents of the Apple Health Export. It will work through the mechanics of moving data from the Apple Health app out...

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new release of offensive programming packages

February 14, 2020
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new release of offensive programming packages

Offensive programming ecosystem has been upgraded. You may now use new versions of packages according to following table ...

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The Premier Machine Learning Conference (15% discount code)

February 14, 2020
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The Premier Machine Learning Conference (15% discount code)

Attend any or all of the five jointly scheduled events! Get an additional 15% discount on your booking with the code RBLOGGERSMLW . Join us in Las Vegas for the largest...

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Dude: Where are my Cats?  RStudio::Conf 2020

February 14, 2020
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Dude: Where are my Cats?  RStudio::Conf 2020 It may not have been the start to the conference that we planned... The post Dude: Where are my Cats?  RStudio::Conf 2020 appeared...

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RcppSimdJson 0.0.1 now on CRAN!

February 13, 2020
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A fun weekend-morning project, namely wrapping the outstanding simdjson library by Daniel Lemire (with contributions by Geoff Langdale, John Keiser and many others) into something callable from R...

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Dynamic discrete choice models, reinforcement learning and Harold, part 2

February 13, 2020
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Dynamic discrete choice models, reinforcement learning and Harold, part 2

In this blog post, I present a paper that has really interested me for a long time. This is part2, where I will briefly present the model of the paper,...

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Benchmarking the portfolio

February 13, 2020
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Benchmarking the portfolio

In our last post, we looked at one measure of risk-adjusted returns, the Sharpe ratio, to help our hero decide whether he wanted to alter his portfolio allocations. Then,...

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Git/Github for contributing to package development

February 13, 2020
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Git/Github for contributing to package development

Disclaimer: I have no affiliation with Microsoft’s GitHub, GitLab, CodeCademy or D2L team.

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Animated Plots using ggplot and gganimate

February 13, 2020
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Animated Plots using ggplot and gganimate

A short overview of the functionalities of the R package gganimate: Learn how to turn your static ggplots in beautiful animations showcasing your data. Der Beitrag Animated Plots using...

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rstudio::conf retrospective

rstudio::conf retrospective

Two weeks ago, I was fortunate to attend my very first Rstudio conference. Spoiler: it was an amazing event - packed to the brim with new ideas, tools, impressions,...

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Visualizing the Tallest Building in Each State

February 13, 2020
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Visualizing the Tallest Building in Each State

Via Digg:This data visualization, put together by takeasecond on Reddit, shows the tallest building in all 50 states in 2020. As the graph demonstrates, the current tallest building in...

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8 reasons why you should submit an abstract for EARL

February 13, 2020
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Abstract submissions for the Enterprise Applications of the R  Language Conference are now open! We are back at the Tower... The post 8 reasons why you should submit an abstract...

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shinyMatrix – Matrix Input for Shiny Apps

February 13, 2020
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shinyMatrix – Matrix Input for Shiny Apps

In this post we’d like to introduce you to our new R package shinyMatrix. It provides...

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The complete guide to clustering analysis: k-means and hierarchical clustering by hand and in R

February 12, 2020
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The complete guide to clustering analysis: k-means and hierarchical clustering by hand and in R

What is clustering analysis? Application 1: Computing distances Solution k-means clustering Application 2: k-means clustering Data kmeans() with 2 groups Quality of a k-means partition nstart for several initial centers kmeans() with 3 groups Manual application and verification in...

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Photo Mosaics in R

February 12, 2020
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Photo Mosaics in R

Harrison Schramm, CAP, PStat, is a Senior Fellow at the Center for Strategic and Budgetary Assessments. In this short piece, I’m going to discuss a fun photography project I did...

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taxadb: A High-Performance Local Taxonomic Database Interface

Dealing with taxonomic inconsistencies within and across datasets is a fundamental challenge of ecology and evolutionary biology. Accounting for species synonyms, taxa splitting and unification is especially important as...

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digest 0.6.24: Some more refinements

February 12, 2020
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Another new version of digest arrived on CRAN (and also on Debian) earlier today. digest creates hash digests of arbitrary R objects (using the md5, sha-1, sha-256, sha-512, crc32,...

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Foreign Demand for France, Germany, Italy and Spain

February 12, 2020
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Foreign Demand for France, Germany, Italy and Spain

Our purpose is to build the quarterly foreign demand for France, Germany, Italy and Spain. To construct these series we use data from DBnomics, through the rdbnomics package. All the code...

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Video Tutorial: Create and Customize a Simple Shiny Dashboard

February 12, 2020
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Video Tutorial: Create and Customize a Simple Shiny Dashboard

By Dominik Krzemiński and Krzysztof Sprycha   Data can be very powerful, but it’s useless if you can’t interpret it or navigate through it. For this reason, it’s crucial...

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Factoshiny: an updated version on CRAN!

February 12, 2020
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Factoshiny: an updated version on CRAN!

The newest version of R package Factoshiny (2.2) is now on CRAN! It gives a graphical user interface that allows you to implement exploratory multivariate analyses such as PCA,...

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Monitoring for Changes in Distribution with Resampling Tests

February 11, 2020
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Monitoring for Changes in Distribution with Resampling Tests

A client recently came to us with a question: what’s a good way to monitor data or model output for changes? That is, how can you tell if new...

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How to make nice publishable adverse event tables using tidyverse

February 11, 2020
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This blog post is just an answer to a colleague to provide R code for the generation of Adverse Event tables. And it is also nice to have the...

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Shiny Contest 2020 is here!

February 11, 2020
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Shiny Contest 2020 is here!

Over the years, we have loved interacting with the Shiny community and loved seeing and sharing all the exciting apps, dashboards, and interactive documents Shiny developers have produced. So...

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My RStudio::Conf 2020 / TidyDevDay Roundup & Reflections!

February 11, 2020
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My RStudio::Conf 2020 / TidyDevDay Roundup & Reflections!

RStudio::Conference 2020 was held in San Francisco, California and...

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What `R` you? (R matrixes and R arrays in python)

February 11, 2020
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Recap Previously in this series, we discovered the equivalent python data structures of the following R data structures: vectors lists In this post, we will look at translating R arrays (and matrixes) into...

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