Quick Hit: Updates to QuickLookR and {rdatainfo}

May 12, 2019
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Quick Hit: Updates to QuickLookR and {rdatainfo}

I’m using GitUgh links here b/c the issue was submitted there. Those not wishing to be surveilled by Microsoft can find the macOS QuickLook plugin project and {rdatainfo} project in SourceHut and GitLab (~hrbrmstr and hrbrmstr accounts respectively). I hadn’t touched QuickLookR🔗 or {rdatainfo}🔗 at all since 2016 since it was really just an example... Continue reading →

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Earthquake Analysis (3/4): Visualizing Data on Maps

May 12, 2019
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Earthquake Analysis (3/4): Visualizing Data on Maps

Interested in guest posting? We would love to share your codes and ideas with our community. Categories Basic Statistics Tags Data Visualisation ggplot2 Maps R Programming Tips & Tricks This is the third part of our post series about the exploratory analysis of a publicly available dataset reporting earthquakes and similar events within a specific 30 days time span. In this post, we are going to show static,...

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Make it explainable!

May 12, 2019
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Make it explainable!

Most people make the mistake of thinking design is what it looks like… People think it’s this veneer — that the designers are handed this box and told, ‚Make it look good!’ That’s not what we think design is. It’s not just what it looks like and feels like. Design is how it works. Steve … Czytaj dalej Make...

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The Secret of Landusia: A Text Adventure in the R Language

May 12, 2019
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The Secret of Landusia: A Text Adventure in the R Language

Text adventures dominated the computer gaming world in the 1980s. This article explains how to write interactive fiction using the R language., The post The Secret of Landusia: A Text Adventure in the R Language appeared first on The Lucid Manager.

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Gamma Process Prior for Semiparametric Survival Analysis

May 11, 2019
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Gamma Process Prior for Semiparametric Survival Analysis

Motviation The Gamma Process Prior Independent Hazards Correlated Hazards Heads up: equations may not render on blog aggregation sites. See original post here for good formatting. If you like this post, you can follow me on twitter. Motviation Suppose we observe survival/event times from some distribution \ where \(f\) is the density and \(F(t)=1-S(t)\) is the corresponding CDF expressed in terms of the...

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RcppArmadillo 0.9.400.3.0

RcppArmadillo 0.9.400.3.0

The recent 0.9.400.2.0 release of RcppArmadillo required a bug fix release. Conrad follow up on Armadillo 9.400.2 with 9.400.3 – which we packaged (and tested extensively as usual). It is now on CRAN and will get to Debian shortly. Armadillo is a ...

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winedApp: Wine Recommendation and Data Analysis Web App

May 11, 2019
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winedApp: Wine Recommendation and Data Analysis Web App

About  Don't wind up with the wrong wine at the wrong time: unwind with the world's best! winedApp provides insights into prices, ratings, descriptions, and geographic distribution of the world's most esteemed wines. Novice or connoisseur, consumer or seller, this app will meet your oenophile needs. In the Wine Explorer, you can enter your location,

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What is “Tidy Data”?

May 11, 2019
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I would like to write a bit on the meaning and history of the phrase “tidy data.” Hadley Wickham has been promoting the term “tidy data.” For example in an eponymous paper, he wrote: In tidy data: Each variable forms a column. Each observation forms a row. Each type of observational unit forms a table. … Continue reading What...

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Big Data-4: Webserver log analysis with RDDs, Pyspark, SparkR and SparklyR

May 11, 2019
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Big Data-4: Webserver log analysis with RDDs, Pyspark, SparkR and SparklyR

“There’s something so paradoxical about pi. On the one hand, it represents order, as embodied by the shape of a circle, long held to be a symbol of perfection and eternity. On the other hand, pi is unruly, disheveled in appearance, its digits obeying no obvious rule, or at least none that we can perceive. … Continue reading Big...

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Kernel spatial smoothing : transforming points pattern to continuous coverage

May 11, 2019
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Kernel spatial smoothing : transforming points pattern to continuous coverage

Representing mass data (inhabitants, livestock,…) on a map in not always easy : choropleth maps are clearly a no-go, except if you normalize with area and then you stumble on the MAUP… A nice solution is smoothing, producing a raster. You even get freebies like (potential) statistical confidentiality, a better geographic synthesis and easy multiple … Continuer la lecture...

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Porting and redirecting a Hugo-based blogdown website to an HTTPS-enabled custom domain and how to do it the easy way

May 11, 2019
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Porting and redirecting a Hugo-based blogdown website to an HTTPS-enabled custom domain and how to do it the easy way

Introduction As we wrote in Should you start your R blog now?, blogging has probably never been more accessible to the general population, R users included. Usually, the simplest solution is to host your blog via a service that provides it for free, such as Netlify, GitHub or GitLab Pages. But what if you want to host that awesome blog...

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What’s that disease called? Overview of icd package

May 10, 2019
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What’s that disease called? Overview of icd package

Intro There are many illnesses and diseases known to man. How do the various stakeholders in the medical science industry classify the same illness? The illness will need to be coded in a standardized manner to aid in fair reimbursements and concise reporting of diseases. The International Classification of Diseases (ICD) provides this uniform coding system. The ICD “is the...

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Easily explore your data using the summarytools package

May 10, 2019
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Easily explore your data using the summarytools package

Whenever we start working with data with which we are not familiar, our first step is usually some kind of exploratory data analysis. We may look at the structure of the data using the str function, or use a tool like the RStudio Viewer to examine the data. We might also use the base R function summary or the...

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EARL speaker – highlights from the Mango team

May 10, 2019
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While we’re aiming to try and fit in as many EARL talks as we can, we know it’s impossible to see them all! We’ve asked some of the Mango team to let us know who they’re looking forward to seeing speak. First up is Alfie Smith one of our Data Scientists – more team picks to follow! Alfie Smith...

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Dealing with correlation in designed field experiments: part II

With field experiments, studying the correlation between the observed traits may not be an easy task. Indeed, in these experiments, subjects are not independent, but they are grouped by treatment factors (e.g., genotypes or weed control methods) or by blocking factors (e.g., blocks, plots, main-plots). I have dealt with this problem in a previous post and I gave a...

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easy Riddler

May 9, 2019
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easy Riddler

The riddle of the week is rather standard probability calculus If N points are generated at random places on the perimeter of a circle, what is the probability that you can pick a diameter such that all of those points are on only one side of the newly halved circle? Since it is equivalent to

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What’s new in R 3.6.0

May 9, 2019
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A major update to the open-source R language, R 3.6.0, was released on April 26 and is now available for download for Windows, Mac and Linux. As a major update, it has many new features, user-visible changes and bug fixes. You can read the details in the release announcement, and in this blog post I'll highlight the most significant...

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Introduction to statistics with origami (and R examples)

May 9, 2019
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I have written a small booklet (about 120 pages A5 size) on statistics and origami it is a very simple -basic book, useful for introductory courses.  There are several R examples and the R script for each of them You can downolad the files free from:  http://www.mariocigada.com/mariodocs/origanova_e.html in a .zip file you find the text … Continue reading Introduction...

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Analysing Raster Data: the rasterList Package

May 9, 2019
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Analysing Raster Data: the rasterList Package

The rasterList package has been created to make complex operation on spatially gridded region. Here's how to use it when analysing raster data. The post Analysing Raster Data: the rasterList Package appeared first on MilanoR.

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(Bootstraping) Follow-Up Contrasts for Within-Subject ANOVAs

May 9, 2019
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(Bootstraping) Follow-Up Contrasts for Within-Subject ANOVAs

So you've run an ANOVA and found that your residuals are neither normally distributed, nor homogeneous, or that you are in violation of any other assumptions. Naturally you want to run some a-parametric analysis... but how?In this post I will demonstrate how to run a permutation test ANOVA (easy!) and how to run bootstrap follow-up analysis (a bit more...

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Bibliographies in RStudio Markdown are difficult – here’s how to make it easy

May 9, 2019
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Bibliographies in RStudio Markdown are difficult – here’s how to make it easy

This blog is intended for researchers, PhD students, MD students and any other students who wish to have a robust and effective reference management setup. The blog has a particular focus on those using R markdown, Bookdown or LaTeX. Parts of the blog can also help setup Zotero for use with Microsoft Word. The blog … Continue reading "Bibliographies...

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Open Trade Statistics

Introduction Open Trade Statistics (OTS) was created with the intention to lower the barrier to working with international economic trade data. It includes a public API, a dashboard, and an R package for data retrieval. The project started when I was affected by the fact that many Latin American Universities have limited or no access to the United Nations Commodity Trade...

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Introducing RStudio Team

May 8, 2019
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Introducing RStudio Team

RStudio is excited to announce RStudio Team, a new software bundle that makes it easier and more economical to adopt our commercially licensed and supported professional offerings. RStudio Team includes RStudio Server Pro, RStudio Connect, and RStudio Package Manager. With RStudio Team, your data science team will be properly equipped to analyze data at scale using R and Python; manage...

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Introducing RStudio Server Pro 1.2 – New Features, Packaging, and Pricing

May 8, 2019
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Introducing RStudio Server Pro 1.2 – New Features, Packaging, and Pricing

We are excited to announce the general availability of RStudio Server Pro 1.2, and to introduce RStudio Server Pro Standard and RStudio Server Pro Enterprise. RStudio customers have made it clear to us that the future of data analysis is moving to a more elastic and flexible computational model. RStudio Server Pro now allows you to execute R processes remotely,...

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a perfectly normally distributed sample

May 8, 2019
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When I saw this title on R-bloggers, I was wondering how “more perfect” a Normal sample could be when compared with the outcome of rnorm(n). Hence went checking the original blog on bayestestR in search of more information. Which was stating nothing more than how to generate a sample is perfectly normal by using the

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Likert-plots and grouped Likert-plots #rstats

May 8, 2019
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Likert-plots and grouped Likert-plots #rstats

I’m pleased to anounce an update of my sjPlot-package, a package for Data Visualization for Statistics in Social Science. Thanks to the help of Alexander, it is now possible to create grouped Likert-plots. This is what I want to show in this post… First, we load the required packages and sample data. We want to … Weiterlesen Likert-plots and...

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EARL London 2019 speakers announced

May 8, 2019
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We were thrilled with the overall quality and amount of abstracts we received for this year’s EARL London Conference. Which made our job of selecting the final speakers even more difficult! We are pleased to share with you the speakers for EARL London 2019 – we will be interviewing some of our speakers over the next few months, so...

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Converting Individual Binary vectors to a Value based on Column Names

May 7, 2019
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When processing data downloaded from popular survey engines, it’s not uncommon for multiple choice questions to be represented as one column per possible response coded as 0/1. So, a question with just two responses might be downloaded as part of a CSV with one column for q1_1 and another for q1_2. If the responses are … Continue reading Converting...

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Granular Weighted Binning by Generalized Boosted Model

May 7, 2019
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Granular Weighted Binning by Generalized Boosted Model

In the post https://statcompute.wordpress.com/2019/04/27/more-general-weighted-binning, I’ve shown how to do the weighted binning with the function wqtl_bin() by the iterative partitioning. However, the outcome from wqtl_bin() sometimes can be too coarse. The function wgbm_bin() (https://github.com/statcompute/MonotonicBinning/blob/master/code/wgbm_bin.R) leverages the idea of gbm() that implements the Generalized Boosted Model and generates more granular weighted binning outcomes. Below is the

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