Monthly Archives: October 2016

Creating figures like the paper ‘Completeness of Digital Accessible Knowledge of Plants of Ghana’ Part 1

October 27, 2016
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Creating figures like the paper ‘Completeness of Digital Accessible Knowledge of Plants of Ghana’ Part 1

Recently I got to read the paper about Completeness of Digital Accessible Knowledge DAK by Alex Asase and A. Townsend Peterson. I really enjoyed reading the paper and liked the way the figures are presented. There is a lot of overlap of this with my work on package bdvis (of course under guidance of Town Peterson). So I

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simmer v3.5.0 released on CRAN

October 27, 2016
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We are proud to present simmer 3.5.0, a new release on CRAN of the Discrete-Event Simulator for R with a bunch of exciting features: Simpler logging. So far, if we wanted arrivals to print something into the console, we had, for instance, to make a...

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ChainLadder version 0.2.3 available on CRAN

October 27, 2016
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ChainLadder is an R package for actuarial analysis of General / Property & Casualty insurance reserves. Version 0.2.3 on CRAN is is the first update in about a year. For the most part, the new version expands upon existing capabilities, as illustrated in the News vignette. Two of the most important arethe rownames (origin period) of a Triangle need no longer be numeric...

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Cut your regression to mediocrity with this 1 WEIRD TRICK!

October 27, 2016
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Cut your regression to mediocrity with this 1 WEIRD TRICK!

Well, like all clickbait articles, this isn’t going to be nearly as helpful to you as you were hoping — at least, not if you’re looking for some way to stop living an average life and fulfill your potential and blah blah blah. But, if you’re concerned about regression to the mean (aka “regression to… Continue reading Cut your...

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ReporteRs: Manager-friendly Word or Powerpoint documents created with R

October 27, 2016
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ReporteRs: Manager-friendly Word or Powerpoint documents created with R

As much as we data scientists would like to work solely in R, there inevitably comes the time when our managers or customers want to see the fruits of our labours as a Word document or PowerPoint presentation. And not just any old document: it needs to be in the official corporate template, and will no doubt go through...

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R, SQL, LaTeX and Chat!

October 27, 2016
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R, SQL, LaTeX and Chat!

Building a product is an exhilarating experience; building a product for the smartest people on the planet is a whole ‘nother beast.Over the last few months, everyone at Datazar has been on an accelerated learning experience. Most of it due to the f...

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Bar plot of Group Means with Individual Observations

October 27, 2016
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Bar plot of Group Means with Individual Observations

Example data sets Install ggpubr Bar plot of group means with individual informations ggpubr is great for data visualization and very easy to use for non-“R programmer”. It makes easy to simply produce an elegant ggplot2-based graphs. Read more about ggpubr: ggpubr . Here we demonstrate how to plot easily a barplot of group means +/- standard...

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Mapping EFSA’s food consumption data with tmap

October 27, 2016
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Mapping EFSA’s food consumption data with tmap

Disclaimer The opinions expressed in the article are those of the author(s) only, and may not necessarily represent the views of EFSA or of any other EU Institution or body. EFSA’s food consumption data The European Food Safety Authority collects food consumption data from all EU countries and and integrates them in their database. The data is based on country specific surveys, in which...

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Raccoon | Ch. 2.1 – T-test, Anova: 1-sample t-test

October 27, 2016
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Raccoon | Ch. 2.1 – T-test, Anova: 1-sample t-test

Raccoon is a free web-book about Statistical Models with R. It's the collection of twenty years of notes, exercises and concepts working with statistics and R. This is the first section of the second chapter, about 1-sample t-test. The post Raccoon | Ch. 2.1 – T-test, Anova: 1-sample t-test appeared first on Quantide - R training & consulting.

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mapmate 0.0.2

October 26, 2016
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mapmate 0.0.2

mapmate is an R package for map- and globe-based data animation pre-production. Specifically, mapmate functions are used to generate and save to disk a series of global map graphics that make up a still image sequence, which can then be used in video editing and rendering software of the user’s choice. This package does not

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