R Weekly 2020-00

Release Date: 2020-00-00

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Highlight

Insights

• Reproducible Work in R: Using MRAN and Docker

• The Evolution of Distributed Programming in R

• rOpenSci Dev Guide 0.5.0: Updates

• “You Are Here”: Understanding How GPS Works

• Why you should use vapply in R

• Attributes in R

• How many is too many? A look at goals in the Premier League

• Adding RStudio Addins to VSCode

• Rolling Averages with {slider} and Covid Data

• Sept 2020: “Top 40” New CRAN Packages

• The Case for a Data Science Lab

• Approaches to Time Series Data with Weak Seasonality

• Correlation and correlation structure (4) – asymmetric correlations of equity portfolios

• Text mining the 2020 Fed Beige Book

R in the Real World

• Reproduce economic indicators from ‘The Economist’

• Flood mapping and rapid impact assessment in Niamey

• First Look at SkillCorner’s Open Source Tracking Dataset

Resources

• R Programming for Beginners / The Ultimate Guide to GGPLOT2: Scatter Plots

• The Good, the Bad and the Ugly: how (not) to visualize data

• Statology: R-Guides

• Mixed Models With R: Bayesian Approaches

New Packages

📦 Go Live for More New Pkgs 📦

CRAN

• {visualpred} 0.1.0: Visualization 2D of Binary Classification Models

• {Snake} 1.0: Game of Snake

• {MGDrivE2} 1.0.1: Mosquito Gene Drive Explorer 2

• {hetu} 1.0.1: Structural Handling of Finnish Personal Identity Numbers

• {flipdownr} 0.1.0: Implement a Countdown in ‘RMarkdown’ Documents and ‘shiny’ Applications

• {APML} 0.0.1: An Approach for Machine-Learning Modelling

• {healthfinance} 0.1.0: Financial Projections and Planning for Health Care Practices

• {drought} 1.0: Statistical Modeling and Assessment of Drought

• {assert} 1.0.0: Validate Function Arguments

• {anovir} 0.1.0: Analysis of Virulence

• {acled.api} 1.0.7: Automated Retrieval of ACLED Conflict Event Data

• {MPGE} 1.0.0: A Two-Step Approach to Testing Overall Effect of Gene-Environment Interaction for Multiple Phenotypes

• {EnvExpInd} 0.1.0: Environmental Exposure on the Individual Level

• {scoringTools} 0.1.0: Credit Scoring Tools

• {deepredeff} 0.1.0: Deep Learning Prediction of Effectors

• {labstatR} 1.0.11: Libreria Del Laboratorio Di Statistica Con R

• {eefAnalytics} 1.0.8: Robust Analytical Methods for Evaluating Educational Interventions using Randomised Controlled Trials Designs

• {abn} 2.3-0: Modelling Multivariate Data with Additive Bayesian Networks

• {not} 1.2: Narrowest-Over-Threshold Change-Point Detection

• {klsh} 0.1.0: Blocking for Record Linkage

• {comsimitv} 0.1.4: Flexible Framework for Simulating Community Assembly

• {BlackCarbon} 0.1.0: Processing Raw Black Carbon Concentration

• {aceEditor} 0.1.0: The ‘Ace’ Editor as a HTML Widget

• {wsjplot} 0.1.0: Style Time Series Plots Like the Wall Street Journal

• {thorn} 0.1.0: ‘HTMLwidgets’ Displaying Some ‘WebGL’ Shaders

• {smd} 0.6.6: Compute Standardized Mean Differences

• {mbmixture} 0.2-5: Microbiome Mixture Analysis

• {inti} 0.1.0: Tools and Statistical Procedures in Plant Science

• {gaussplotR} 0.1.4: Predict and Plot 2D Gaussians

• {findInFiles} 0.1.1: Find Pattern in Files

• {bggAnalytics} 0.1.1: BoardGameGeek’s Board Game Data Analysis Tools

• {restaurant} 0.1.0: Restaurant Data for Entity Resolution

• {PAMmisc} 1.6.3: Miscellaneous Functions for Passive Acoustic Analysis

• {cd} 0.1.0: CD Data for Entity Resolution

• {biogrowth} 0.1.0: Modelling of Microbial Growth

• {asymptor} 0.2: Estimate Asymptomatic Cases via Capture/Recapture Methods

• {ripserr} 0.1.1: Calculate Persistent Homology with Ripser-Based Engines

• {animint2} 2020.9.18: Animated Interactive Grammar of Graphics

• {r5r} 0.2-0: Rapid Realistic Routing with ‘R5’

• {singcar} 0.1.0: Comparing Single Cases to Small Samples

• {parallelly} 1.20.0: Enhancing the ‘parallel’ Package

• {packer} 0.0.6: An Opinionated Framework for Using ‘JavaScript’

• {SimSurvNMarker} 0.1.1: Simulate Survival Time and Markers

• {PortalHacienda} 0.1.5: Acceder Con R a Los Datos Del Portal De Hacienda

• {MixSIAR} 3.1.12: Bayesian Mixing Models in R

• {eicm} 1.0.1: Explicit Interaction Community Models

• {YPmodel} 1.4: The Short-Term and Long-Term Hazard Ratio Model for Survival Data

• {tablaxlsx} 1.2.4: Write Formatted Tables in Excel Workbooks

• {semantic.dashboard} 0.1.8: Dashboard with Fomantic UI Support for Shiny

• {nlnet} 1.4: Nonlinear Network, Clustering, and Variable Selection Based on DCOL

• {icesTAF} 3.6.0: Functions to Support the ICES Transparent Assessment Framework

• {i2dash} 0.2.2: Iterative and Interactive Dashboards

• {tidycwl} 1.0.5: Tidy Common Workflow Language Tools and Workflows

• {superpc} 1.12: Supervised Principal Components

• {PressPurt} 1.0.2: Indeterminacy of Networks via Press Perturbations

• {growthcurver} 0.3.1: Simple Metrics to Summarize Growth Curves

• {trending} 0.0.1.0: Model Temporal Trends

• {LimnoPalettes} 0.1.0: A Limnology Themed Palette Generator

• {BET} 0.1.0: Binary Expansion Testing

• {keys} 0.1.0: Keyboard Shortcuts for ‘shiny’

• {rock} 0.1.1: Reproducible Open Coding Kit

BioC

GitHub or Bitbucket

• rockthemes

Updated Packages

• {simstudy}: Illuminating research methods through data generation

• {data.table} 1.13.2

• {furrr} 0.2.0

• {recipes} 0.1.14:

• RcppZiggurat 0.1.6

• RStudio 1.4 Preview: Multiple Source Columns

• RcppArmadillo 0.10.1.0.0

• digest 0.6.26: Blake3 and Tuning

• RcppSpdlog 0.0.3: New features and much more docs

Videos and Podcasts

• TidyX Episode 32

• How to Scrape Word Documents with R

• ConTESSA: A Shiny App to Help Quantify Contact Tracing Efficacy (Presentation)

• Video + code from workshop on Deep Learning with Keras and TensorFlow

Shiny Apps

• Turn a shiny application into a tablet or desktop app

• {cranstars}: A shiny app that shows CRAN downloads & github stars statistics, made with the {golem} framework

• ConTESSA: A Shiny App to Help Quantify Contact Tracing Efficacy

• dinnR: Help you plan a week of grocery for your vegan dinners

R Internationally

• Procédures d’installation : R > 4.0.0 et RStudio

Tutorials

• Personal Art Map with R

• parking riddle

• Searching medRxiv and bioRxiv Preprint Data

• Classifying images with torch

• Little useless-useful R function – R-jobs title generator

• Little useless-useful R function – DataFrame Maker

• Playing with {ggplot2} extensions

R Project Updates

Updates from R Core:

Upcoming Events in 3 Months

Events in 3 Months:

• Nairobi R: Data Visualization in R online workshop. Oct. 31

• SatRday Columbus - Free virtual conference on November 14

• rstudio::global (2021)

• A list of R conferences and meetings

• This week’s local R-User and applied stats events

Call for Participation

• NHS-R Book Club

Your support will keep R Weekly team moving! 💡

Quotes of the Week

The #Jaguar has lost at least 20% of its home range in #Pantanal biome, which has been burned more and more. The animation below was made using #moveVis and shows some Jaguars moving in an area which was burned a lot this year. That's sad! pic.twitter.com/0QT9D8AHN9

— We are R-Ladies (@WeAreRLadies) October 22, 2020

My girlfriend baked an #rstats cake for my birthday and it's like the best 👌😍👍 pic.twitter.com/skSfwsQYTm

— Fabio Votta📊🦉 (@favstats) October 23, 2020

Today's #rstats FYI: function overwrite only happens the first time you load a package

select(sleep, ID) # select not found

library(dplyr)
select(sleep, ID) # OK now

library(MASS)
select(sleep, ID) # error

library(dplyr)
select(sleep, ID) # still error

— Lisa DeBruine 🏳️‍🌈 (@LisaDeBruine) October 20, 2020