Predictive Maintenance: Zero to Deployment in Manufacturing

April 7, 2020
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Predictive Maintenance: Zero to Deployment in Manufacturing

Predictive maintenance has been seen as a holy grail for cost cutting manufacturing. There are various steps involved in just feasibility study such as problem identification, sensor installation, signal processing, feature extraction and analysis, and finally modeling. Once a reliable and robust model is developed, the model has to be deployed to a manufacturing environment.

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R Consortium Member Esri Empowers Informed Decision-Making Around COVID-19

April 7, 2020
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R Consortium Member Esri Empowers Informed Decision-Making Around COVID-19

Esri, international supplier of geographic information system software, web GIS and geodatabase management applications, is providing a comprehensive set of resources for researchers and others mapping the spread of...

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F is for filter

April 7, 2020
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F is for filter

For the letter F - filters! Filters are incredibly useful, especially when combined with the main pipe %__%. I frequently use filters along with ggplot functions, to chart a...

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Curated Regular Expression Resources

April 7, 2020
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Curated Regular Expression Resources

Regular expression (also abbreviated to regex) really is a powertool any programmer should know. It was and is one of the things I most liked learning, as it provides...

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COVID-19 in the US: Back-of-the-Envelope Calculation of Actual Infections and Future Deaths

April 7, 2020
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COVID-19 in the US: Back-of-the-Envelope Calculation of Actual Infections and Future Deaths

One of the biggest problems of the COVID-19 pandemic is that there are no reliable numbers of infections. This fact renders many model projections next to useless. If you...

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registration open for online NIMBLE short course, June 3-5, 2020

April 6, 2020
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registration open for online NIMBLE short course, June 3-5, 2020

Registration is now open for a three-day online training workshop on NIMBLE, June 3-5, 2020, 9 am – 2 pm California time (noon – 5 pm US EDT). This...

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10 Things We Learned in Creating the Blog Guide with bookdown

After soliciting, reviewing, and publishing over 100 blog posts and tech notes by rOpenSci community members, we have created the rOpenSci Blog Guide for Authors and Editors to address...

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Retries in API packages and reinventing the wheel

April 6, 2020
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Retries in API packages and reinventing the wheel

Web APIs can sometimes fail for no particular reason; therefore packages accessing them often add some robustness to their code by retrying calling the API a few times if there...

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Discount on Manning Books, Including our own Practical Data Science with R 2nd Edition

April 6, 2020
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Discount on Manning Books, Including our own Practical Data Science with R 2nd Edition

We have a discount on Manning Books, including our own Practical Data Science with R 2nd Edition! Manning.com is offering FREE shipping with code SHIP35 for US residents only....

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Free coding education in the time of Covid-19

April 6, 2020
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Free coding education in the time of Covid-19

At the time of this COVID 19, there are tons of resources being offered for free to update your skills. If you are an ML enthusiast. and… Read more...

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XLConnect 1.0.1

April 6, 2020
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XLConnect 1.0.1

XLConnect 1.0.1 now available from CRAN and from our GitHub repository. We are pleased to announce the release of XLConnect 1.0.1. This release is mainly a maintenance release...

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Appsilon’s shiny.info Development and Testing Shiny Package Released on CRAN

April 6, 2020
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Appsilon’s shiny.info Development and Testing Shiny Package Released on CRAN

Appsilon’s open source shiny.info package just received a major update and is now available on CRAN. A great solution for development and testing, shiny.info allows for displaying diagnostic information...

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E is for Exposition Pipe

April 6, 2020
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E is for Exposition Pipe

For the letter E, I want to talk about a set of operators provided by tidyverse (specifically the magrittr package) that makes for much prettier, easier-to-read code: pipes. The...

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RStudio Connect as a Solution for Remote Data Science Teams

April 6, 2020
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RStudio Connect as a Solution for Remote Data Science Teams

The situation around COVID-19 has forced many countries around the world to adopt social distancing policies. This means that more of the world’s workforce is working remotely than ever...

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A Function for Calculating Tidy Summaries of Multiple t-tests

April 5, 2020
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The t-test is one of the most often used in psychology and other social sciences. In APA format, researchers are told to report the means and standard deviations of...

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Comments on the COVID-19 model source code from Imperial

April 5, 2020
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At the end of March a paper modelling the impact of various scenarios on the spread of COVID-19 infections, by the MRC Centre for Global Infectious Disease Analysis at...

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How to make that crazy Fox News y axis chart with ggplot2 and scales by @ellis2013nz

How to make that crazy Fox News y axis chart with ggplot2 and scales by @ellis2013nz

Possibly you have seen this graphic circulating on social media. At first it doesn’t look too remarkable, but then you notice the vertical axis. Oh. The gridlines are equally...

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Mapping Covid-19 cases: a Shiny app

April 4, 2020
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Mapping Covid-19 cases: a Shiny app

R lets you create charts and graphs in image form. But the Shiny package lets you create those same charts and graphs in interactive format. I created my first...

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The significance of population size, year, age and per cent women on the education level in Sweden

The significance of population size, year, age and per cent women on the education level in Sweden

In my last post, I analysed how the level of education is affected by region, sex and year. In this post, I will continue with the same dataset but...

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SR2 Chapter 3 Hard

April 4, 2020
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SR2 Chapter 3 Hard

SR2 Chapter 3 Hard Posted on 5 April, 2020 by Brian Tags: statistical...

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SR2 Chapter 3 Medium

April 4, 2020
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SR2 Chapter 3 Medium

SR2 Chapter 3 Medium Posted on 5 April, 2020 by Brian Tags: statistical...

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On the “correlation” between a continuous and a categorical variable

April 4, 2020
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On the “correlation” between a continuous and a categorical variable

Let us get back on the Titanic dataset, loc_fichier = "http://freakonometrics.free.fr/titanic.RData" download.file(loc_fichier, "titanic.RData") load("titanic.RData") base = base On consider two variables, the age (the continuous one) and the survivor...

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D is for dummy_cols

April 4, 2020
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D is for dummy_cols

For the letter D, I'm going to talk about the dummy_cols functions, which isn't actually part of the tidyverse, but hey: my posts, my rules. This function is incredibly...

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Caching in R

April 4, 2020
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Introduction Caching intermediate objects in R can be an efficient way to avoid re-evaluating long-running computations. The general process is always the same: run the chunk of code once, store the output...

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Another “flatten the COVID-19 curve” simulation… in R

April 3, 2020
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Another “flatten the COVID-19 curve” simulation… in R

 Hi there,This is the best meme I've found during these days... Well, here it is my "BUT" contribution. Some weeks ago The Washington Post published this simulations about how "social...

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GARCHery

April 3, 2020
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GARCHery

In our last post, we discussed using the historical average return as one method for setting capital market expectations prior to constructing a satisfactory portfolio. We glossed over setting...

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patientcounter

April 3, 2020
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patientcounter

fast, flexible census tables - Counting patients is hard Blimey. It’s over 3 years since I collaborated with Neil Pettinger on some plots to demonstrate patient...

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Why R? Webinar on R/exams for E-Learning Quizzes and Beyond

April 3, 2020
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Why R? Webinar on R/exams for E-Learning Quizzes and Beyond

Webinar hosted by Why R? Foundation: Slides, video, and e-learning resources. ...

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COVID-19 shiny / plotly dashboard

April 3, 2020
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COVID-19 shiny / plotly dashboard

Governments and COVID-19: Which one stops it faster, better, has fewer people dying? These questions get answered with my dashboard. A contribution to the shiny-contest: https://community.rstudio.com/t/material-design-corona-covid-19-dashboard-2020-shiny-contest-submission/59690 Intro How did Corona...

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