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Showing posts from July, 2018

Exquisite ancient mosaic uncovered in Israel

An incredible 1,700-year-old ancient mosaic had been uncovered by archaeologists in Israel. FOX News https://ift.tt/2K9H1hn July 30, 2018 at 10:09PM

California wildfires: Satellite imagery reveals shocking blanket of thick smoke over western US

New satellite imagery reveals thick blankets of smoke over California and Oregon from the raging wildfires that have incinerated hundreds of thousands of acres this summer. FOX News https://ift.tt/2AnwwYf July 30, 2018 at 06:00PM

The edge of space just crept 12 miles closer to Earth

Did you feel that? FOX News https://ift.tt/2mSIjV5 July 30, 2018 at 02:00PM

Mourning orca mother carries dead calf for fifth day

A mourning orca whale continued to carry her dead calf for a fifth straight day on Saturday. FOX News https://ift.tt/2K7ff5g July 30, 2018 at 11:07AM

New R package debugr – use automatic debug messages to improve your code

(This article was first published on Topics in R , and kindly contributed to R-bloggers) debugr is a new package designed to support debugging in R. It mainly provides the dwatch() function which prints a debug output to the console or to a file. A debug output can consist of a static text message, the values of one or more objects (potentially transformed by applying some functions) or the value of one or multiple (more complex) R expressions. Whether or not a debug message is displayed can be made dependent on the evaluation of a criterion phrased as an R expression. Generally, debug messages are only shown if the debug mode is activated. The debug mode is activated and deactivated with debugr_switchOn() and  debugr_switchOff() , respectively, which change the logical debugr.active  value in the global options. Since debug messages are only displayed in debug mode, the dwatch()  function calls can even remain in the original code as they remain silent and won’t have any

Long Running Tasks With Shiny: Challenges and Solutions

(This article was first published on Fells Stats , and kindly contributed to R-bloggers) One of the great additions to the R ecosystem in recent years is RStudio’s Shiny package. With it, you can easily whip up and share a user interface for a new statistical method in just a few hours. Today I want to share some of the methods and challenges that come up when the actual computation of a result takes a non-trivial amount of time (e.g >5 seconds). First Attempt Shiny operates in a  reactive programming framework . Fundamentally this means that any time any UI element that affects the result changes, so does the result. This happens automatically, with your analysis code running every time a widget is changed. In a lot of cases, this is exactly what you want and it makes Shiny programs concise and easy to make; however in the case of long running processes, this can lead to frozen UI elements and a frustrating user experience. The easiest solution is to use an Action But

A Certification for R Package Quality

(This article was first published on Revolutions , and kindly contributed to R-bloggers) There are more than 12,000 packages for R available on CRAN, and many others available on Github and elsewhere. But how can you be sure that a given R package follows best development practices for high-quality, secure software? Based on a recent survey of R users related to challenges in selecting R packages , the R Consortium now recommends a way for package authors to self-validate that their package follows best practices for development. The CII Best Practices Badge Program , developed by the Linux Foundation's Core Infrastructure Initiative, defines a set of criteria  that open-source software projects should follow for quality and security. The criteria relate to open-source license standards, documentation, secure development and delivery practices, version control and bug reporting practices, build and test processes, and much more. R packages that meet these standards are

Podcast on Nonclinical Statistics

(This article was first published on Blog - Applied Predictive Modeling , and kindly contributed to R-bloggers) Hugo Bowne-Anderson and I spoke about about data science in pharmaceuticals, the tidyverse, and more for the excellent DataFramed podcast from DataCamp. Listen to it here or through your favorite blogging app. To leave a comment for the author, please follow the link and comment on their blog: Blog - Applied Predictive Modeling . R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: Data science , Big Data, R jobs , visualization ( ggplot2 , Boxplots , maps , animation ), programming ( RStudio , Sweave , LaTeX , SQL , Eclipse , git , hadoop , Web Scraping ) statistics ( regression , PCA , time series , trading ) and more... from R-bloggers https://ift.tt/2ApJaG9 via IFTTT

R Consortium Proposal Accepted!

(This article was first published on R – AriLamstein.com , and kindly contributed to R-bloggers) Today I am happy to announce that my proposal to the R Consortium was accepted! I first announced that I was submitting a proposal back in March. As a reminder, the proposal has two distinct parts: Creating a guide to working with US Census data in R. Creating an R Consortium Working Group focused on US Census Data. If you’d like to read the proposal in its entirety, you can do so here . I am currently planning to develop the “Census Guide” in public using github. If you’d like to follow along with the development, you can do so by visiting the github respository and clicking the “watch” button: View the Github Repository  The post R Consortium Proposal Accepted! appeared first on AriLamstein.com . To leave a comment for the author, please follow the link and comment on their blog: R – AriLamstein.com . R-bloggers.com offers daily e-mail updates about R news

Rj Editor – Analyse your data with R in jamovi

(This article was first published on jamovi , and kindly contributed to R-bloggers) tl;dr Rj Editor lets you analyse data in jamovi with R, and make use of your favourite R packages from within the jamovi statistical spreadsheet jmvconnect makes it easy to access jamovi data sets from R Rj is a new module for the jamovi statistical spreadsheet that allows you to use the R programming language to analyse data from within jamovi. Although jamovi is already built on top of R, and all the analyses it provides are written in R, to date it hasn’t been possible to enter R code directly. Rj changes that. There are many reasons you might want to do this; there are a lot (thousands!) of analyses available in R packages that haven’t been made available as jamovi modules (yet!), and Rj allows you to make use of these analyses from within jamovi. Additionally, you can make use of loops and if-statements , allowing (among other things) conditional analyses and simulation stud

Following the Movement of Birds in the United States

(This article was first published on R – NYC Data Science Academy Blog , and kindly contributed to R-bloggers) The American Birder For the millions of bird watchers in America, relevant and useful resources are always a welcome sight. Range maps and ecological histories enhance the bird watching experience by adding a layer of conservation awareness and help hobbyists become more acquainted with the birds they observe. As a birder myself, I am always looking for new applications that help me achieve a greater understanding of the birds I observe on a daily basis. Learning more about these fascinating and beautiful animals helps to bring the bigger picture into focus; they have a much larger role in our world than just the momentary glimpse you get when observing them in a park or when walking down the street. The Data I chose to use the eBird dataset from the Cornell Lab of Ornithology to construct a Shiny application in R that allows a birder to “zoom out” from an isola

A Certification for R Package Quality

There are more than 12,000 packages for R available on CRAN, and many others available on Github and elsewhere. But how can you be sure that a given R package follows best development practices for high-quality, secure software? Based on a recent survey of R users related to challenges in selecting R packages, the R Consortium now recommends a way for package authors to self-validate that their package follows best practices for development. The CII Best Practices Badge Program, developed by the Linux Foundation's Core Infrastructure Initiative, defines a set of criteria that open-source software projects should follow for quality and security. The criteria relate to open-source license standards, documentation, secure development and delivery practices, version control and bug reporting practices, build and test processes, and much more. R packages that meet these standards are a signal to R users that can be relied upon, and as the standards document notes: There is no set of pra

US intelligence says North Korea is building new missiles

The Washington Post reports that satellite imagery indicates Kim Jong Un might not be so into the idea of denuclearization. US intelligence agencies say North Korea is making new missiles, another sign that leader Kim Jong Un is uninterested in dismantling its nuclear program despite negotiations with the Trump administration. The Washington Post’s Ellen Nakashima and Joby Warrick report that satellite imagery indicates that North Korea is working on one — or maybe two — liquid-fueled intercontinental ballistic missiles at a research facility outside of Pyongyang. This is the same research facility where North Korea constructed its Hwasong-15 missile, perhaps the most powerful missile in North Korea’s arsenal, which experts believe is capable of hitting the East Coast of the United States. Satellite imagery from the National Geospatial-Intelligence Agency suggests that North Korea is doing “ongoing work on at least one Hwasong-15,” according to the Post. Signs of some North K

FEMA’s top HR official allegedly hired women as sexual partners for male employees

Corey Coleman is also accused of having sexual relations with female employees, allegations that date to 2015. The former top human resources official at FEMA is facing disturbing sexual misconduct allegations, ones that encompass both his personal relationships and his hiring and management decisions. An internal, seven-month investigation found that Corey Coleman, the former chief component human capital officer, transferred female FEMA employees to different departments or regional offices within the agency so that his male colleagues could attempt to have sexual relationships with them, reports the Washington Post’s Lisa Rein , who obtained an executive summary of the preliminary investigation. The report also found that Coleman hired his male friends for positions; that he hired and promoted women he met at bars and on dates to work in FEMA outside normal hiring protocols; and that he had sexual relationships with at least two subordinates, one in 2015, and another in 2017-’18