622 search results for "knitr"

The reproducibility crisis in science and prospects for R

July 26, 2016
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Guest post by Gregorio Santori (<[email protected]>) The results that emerged from a recent Nature‘s survey confirm as, for many researchers, we are living in a weak reproducibility age (Baker M. Is there a reproducibility crisis? Nature 2016;533:453-454). Although the definition of reproducibility can vary widely between disciplines, in this survey was adopted the version for … Continue...

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Casting Call for MERS-CoV in Korea, 2015

July 18, 2016
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Casting Call for MERS-CoV in Korea, 2015

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. The markdown+Rknitr source code of this blog is available under a GNU General Public License (GPL v3) license from . Abstract We perform an adjustment for observed-but-not-yet-reported cases (aka. nowcasting) for the epidemic curve of the...

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Geographic data to service the needs of a remote employee – part2

July 6, 2016
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Ava Yang, Mango Solutions Recap In part 1 of this post I set out to find a flat to rent based on three simple criteria: Café density Tube station density Monthly rent So far I have made use of the … Continue reading →

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Bio7 2.4 for Linux Released

July 5, 2016
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Bio7 2.4 for Linux Released

04.07.2016 A new Bio7 Linux release is available at http://bio7.org. The general release note for Bio7 2.4 can be found here! Installation: Bio7 for Linux comes bundled with the latest Java Runtime Environment. To use R with Bio7 you have to install R for Linux. In addition you have to install Rserve configured to use

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Bio7 2.4 for Windows and Mac Released

July 1, 2016
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Bio7 2.4 for Windows and Mac Released

A new release of Bio7 is available for Windows and MacOSX. The Linux version will be released soon, too. This release comes with a plethora of new functions, especially for the R editor. Download at: http://bio7.org Release notes: General Updated Bio7 to use Eclipse 4.6 (Neon) as RCP basis Updated the embedded Java Runtime Environment

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How to use R for matching samples (propensity score)

June 27, 2016
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How to use R for matching samples (propensity score)

According to Wikipedia, propensity score matching (PSM) is a “statistical matching technique that attempts to estimate the effect of a treatment, policy, or other intervention by accounting for the covariates that predict receiving the treatment”. In a broader sense, propensity score analysis assumes that an unbiased comparison between samples can only be made when the Related Post

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Did the weather affect the #Brexit vote?

June 26, 2016
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Did the weather affect the #Brexit vote?

On the evening of the polling day, some parts of London and southern England were hit by very bad weather, while other areas experienced nice weather with high temperatures and sunshine. The weather could have affected the Brexit vote by affecting Turnout or by affecting Voting Intentions. To cut a long story short: there is, … Continue reading...

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In search of an incredible posterior

June 22, 2016
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In search of an incredible posterior

What is credibility? For over one hundred years 1 actuaries have been wresting with the idea of “credibility”. This is the process whereby one may make a quantitative assessment of the predictive power of sample data. Where necessary, the researcher augments the sample with some exogeneous information - usually more data - to arrive at a final conclusion. In...

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Princes Disguised in Uniforms

June 18, 2016
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Princes Disguised in Uniforms

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. The markdown+Rknitr source code of this blog is available under a GNU General Public License (GPL v3) license from . Abstract We revisit the secretary problem as a mathematical fairy tale: Princes wooing a princess sequentially...

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R Hero saves Backup City with archivist and GitHub

June 14, 2016
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Have you ever suffered because of the impossibility of reproducing graphs, tables or analysis’ results in R? Have you ever bothered yourself for not being able to share R objects (i.e., plots or final analysis models) within your reports, posters or articles? Or maybe simply you have too many objects you can’t manage to store in a convenient...

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