R Weekly 2020-34 Best OS for R, lines of best fit, truncated distributions
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Hello and welcome to this new issue!
Release Date: 2020-08-24
This week’s release was curated by Miles McBain, with help from the RWeekly team members and contributors.
Highlight
Insights
Why Package & Environment Management is Critical for Serious Data Science
Simulate! Simulate! - Part 4: A binomial generalized linear mixed model
Make R Shiny Dashboards Faster with updateInput, CSS, and JavaScript
R in the Real World
R in Academia
Resources
New Packages
???? Go Live for More New Pkgs ????
CRAN
{hover} 0.1.0: CSS Animations for ‘shiny’ Button Elements
{nimbleSCR} 0.1.0: Spatial Capture-Recapture (SCR) Methods Using ‘nimble’
{fable.prophet} 0.1.0: Prophet Modelling Interface for ‘fable’
{cyclomort} 1.0.2: Survival Modeling with a Periodic Hazard Function
{HeterFunctionalData} 0.1.0: Test of No Main and/or Interaction Effects in Functional Data
- {fairmodels} 0.1.1: Flexible Tool for Bias Detection, Visualization, and Mitigation
{bootComb} 0.2.0: Combine Parameter Estimates via Parametric Bootstrap
{tgstat} 2.3.14: Amos Tanay’s Group High Performance Statistical Utilities
{hiphop} 0.0.1: Parentage Assignment using Bi-Allelic Genetic Markers
{faux} 0.0.1.4: Simulation for Factorial Designs
{bomWater} 0.4.0: Download Australian Bureau of Meteorology Water Data
{PO.EN} 1.0: An Elastic-Net Regularized Presence-Only Model
{pdi} 0.4.1: Phenotypic Index Measures for Oak Decline Severity
{eurlex} 0.2.1: Retrieve Data on European Union Law
{ebmstate} 0.1.0: Empirical Bayes Multi-State Cox Model
{textmatching} 0.1.0: Functions for Matching with Text-Based Confounding
{weightedZdiff} 0.1.0: Calculation of z-Differences
{twn} 0.1.0: Taxa Waterbeheer Nederland voor R
{SmartMeterAnalytics} 1.0.3: Methods for Smart Meter Data Analysis
{prt} 0.1.0: Tabular Data Backed by Partitioned ‘fst’ Files
{pathmodelfit} 1.0.4: Path Component Fit Indices for Latent Structural Equation Models
{BayesMRA} 1.0.0: Bayesian Multi-Resolution Gaussian Process Approximations
{tTOlr} 0.2: Likelihood Ratio Statistics for One or Two Sample T-Tests
{ProbReco} 0.1.0: Score Optimal Probabilistic Forecast Reconciliation
{liver} 1.0: “Eating the Liver of Data Science”
{DWBmodelUN} 1.0.0: Dynamic Water Balance a Hydrological Model
{konfound} 0.2.2: Quantify the Robustness of Causal Inferences
{ffscrapr} 1.0.0: API Client for Fantasy Football League Platforms
{pdxTrees} 0.4.0: Data Package of Portland, Oregon Trees
{edmdata} 1.0.0: Data Sets for Psychometric Modeling
{BioInsight} 0.1.0: Filter and Plot RNA Biotypes
{dpseg} 0.1.1: Piecewise Linear Segmentation by Dynamic Programming
{ROCpsych} 1.3: Compute and Compare Diagnostic Test Statistics Across Groups
{ResidentialEnergyConsumption} 1.0.1: Residential Energy Consumption Data
{ER} 1.0.0: Effect + Residual Modelling
{rasciidoc} 2.1.3: Create Reports Using R and ‘asciidoc’
{goxygen} 1.0.3: In-Code Documentation for ‘GAMS’
- {glmbb} 0.4: All Hierarchical or Graphical Models for Generalized Linear Model
GitHub or Bitbucket
{tinieR} 0.1.0: Shrink image filesizes with TinyPNG.com’s API
Introducing ‘cairocore’ - fast 2d drawing canvas backed by cairo
Introducing ‘chipmunkcore’ - a wrapper for the chipmunk2d physics simulation c library
Galton board now working (in mysterious ways!)
— mikefc (@coolbutuseless) August 19, 2020
Hoping to release {chipmunkcore} package soon - you'll be able to place your own segments and circular bodies for 2d rigid body physics sim.#RStats @carroll_jono pic.twitter.com/p5QkPQNOuU
Updated Packages
{nlme} 3.1-149: Linear and Nonlinear Mixed Effects Models
{mgcv} 1.8-32: Mixed GAM Computation Vehicle with Automatic Smoothness Estimation
{SNPassoc} 1.9-2.1: SNPs-based Whole Genome Association Studies
{dplyr} 1.0.2: A Grammar of Data Manipulation
{chron} 2.3-56: Chronological Objects which can Handle Dates and Times
{Require} 0.0.7: Installing and Loading R Packages for Reproducible Workflows
{reproducible} 1.2.1: A Set of Tools that Enhance Reproducibility Beyond Package Management
{pbapply} 1.4-3: Adding Progress Bar to ‘*apply’ Functions
{mlr3pipelines} 0.2.1: Preprocessing Operators and Pipelines for ‘mlr3’
{hdf5r} 1.3.3: Interface to the ‘HDF5’ Binary Data Format
{emmeans} 1.5.0: Estimated Marginal Means, aka Least-Squares Means
{MASS} 7.3-52: Support Functions and Datasets for Venables and Ripley’s MASS
{tidyLPA} 1.0.8: Easily Carry Out Latent Profile Analysis (LPA) Using Open-Source or Commercial Software
{rFerns} 4.0.0: Random Ferns Classifier
{pcalg} 2.6-11: Methods for Graphical Models and Causal Inference
{startR} 2.0.0: Automatically Retrieve Multidimensional Distributed Data Sets
{StanHeaders} 2.21.0-6: C++ Header Files for Stan
{Signac} 1.0.0: Analysis of Single-Cell Chromatin Data
{DiffXTables} 0.1.1: Pattern Analysis Across Contingency Tables
Videos and Podcasts
Shiny Developer Series Episode 11 - Eric Nantz is joined by package author and Shiny enthusiast Yoni Sidi to discuss the impact of Shiny in life sciences, origins of
{ggedit}
, and more.
Gist & Cookbook
R Internationally
Tutorials
Loading and Visualizing OpenSky Network Flight Data in R (short)
Buffer areas for nearest neighbours or national marine areas delineation
R Project Updates
Updates from R Core
Upcoming Events in 3 Months
Events in 3 Months:
Jobs
Call for Participation
Quotes of the Week
My hot take: I am loving Distill for sites where I want to be a babysitter but not a parent. Like, I just want to tend to them temporarily but then be able to stop watching them. I'll keep using Hugo for any site that requires more of a bespoke layout/styling.
— Alison Presmanes Hill (@apreshill) August 21, 2020
This is bioseq: a new #rstats package ???? to work with biological sequences and which plays nicely with the #tidyverse.
— Francois Keck (@FrancoisKeck) August 17, 2020
... and yes you can have colored nucleotides! ????????????#bioinformatics #DNA https://t.co/or0uZjZ0wt pic.twitter.com/SypsqLngvb
A tale of three Cities? Of wingers past, present, future?
— The Come On Man (@thecomeonman) August 18, 2020
Fully expecting Twitter to compress it so better res versions here - https://t.co/js869lriQp. DM for hi-res versions.
Can do a few requests if there is enough interest in specific players.#TidyTuesday #Rstats pic.twitter.com/6QmQ6VWBPX
I have updated the *Data Science Course in a Box* resources at https://t.co/N21dyees9Y. If you're teaching introductory data science with #rstats, take a look and feel free to use/adapt as you like. Source code for all materials are linked from the website and licensed CC BY-SA! pic.twitter.com/uw9HrzffkD
— Mine Çetinkaya-Rundel (@minebocek) August 21, 2020
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