rOpenSci is very excited to announce our first peer-reviewed statistical R packages! One of rOpenSci’s core programs is software peer-review, where we use best practices from software engineering and academic peer-review to improve scientific so...

We’ve released the newest version of NIMBLE on CRAN and on our website. NIMBLE is a system for building and sharing analysis methods for statistical models, especially for hierarchical models and computationally-intensive methods (such as MCMC and SMC). Version 0.13.0 provides new functionality (in particular improved handling of predictive nodes ...

Introduction CRAN is a fantastic resource, in particular because it provides binary packages for Windows and macOS (for both Intel and Apple Silicon Macs). Because there are so many Linux distributions CRAN does not provide binary packages for Linu...

I’ve had some discussions online and in the real world about this blog post and I’d like to restate why containerization is needed for reproducibility, and do so from the lens of functional programming. When setting up a pipeline, wether you’re a fu...

The #30DayMapChallenge is a daily mapping, cartography, and data visualization challenge aimed at the spatial community. Every day in November participants create a map with a given theme (e.g. red, movement, two colours) and share their results on soc...

Dr. Shirin Elsinghorst recently shared her great experience with the R language, motivating her to start the Münster R useR Germany. Shirin shared how R has become a very important... The post Spreading a Passion for R with the Münster Community in Germany appeared first on R Consortium.

In this brief tutorial we will discuss how to navigate through folders in RStudio. When you open RStudio, the software will also open an instance of R. As any other software, when opened R is set to read and write files in a default location, which much likely is not ...

Introducción El análisis exploratorio de datos (EDA en inglés, “Exploratory Data Analysis”) es una de las herramientas más útiles en varias áreas de análisis de datos. El concepto de EDA ha sido utilizado popularmente en los últimos años pa...

This post is part of a series of technotes about r-universe, a new umbrella project by rOpenSci under which we experiment with various ideas for improving publication and discovery of research software in R. As the project evolves, we will post updates to document features and technical details. For more ...

One hundred seventy-four new packages made it to CRAN in October. Here are my “Top 40” selections in sixteen categories: Astronomy, Biology, Business, Computational Methods, Data, Ecology, Finance, Genomics, Mathematics, Machine Learning, Medicine, Pharma, Statistics, Time Series, Utilities, Visualization. Astronomy skylight v1.1: Provides a function to calculate sky illuminance values (in ...

My friend EJ Wagenmaker pointed me towards an entire book on the BF by Bozza (from Ca’Foscari, Venezia), Taroni and Biederman. It is providing a sort of blueprint for using Bayes factors in forensics for both investigative and evaluative purposes. With R code and free access. I am of ...

The {emayili} package already has adapters which make it simple to send email via a variety of services. I have just added an adapter for the ZeptoMail transactional email service. The adapter is available in {emayili} version 0.7.13.

Setup

library(data.table)
library(glue)
library(arrow)

## 
## Attaching package: 'arrow'

## The following object is masked from 'package:utils':
## 
##     timestamp

library(duckdb)

## Loading required package: DBI

library(tictoc)

## 
## Attaching package: 'tictoc'

## The following object is masked from 'package:data.table':
## 
##     shift

library(ggplot2)
library(scales)
library(dplyr)

## 
## Attaching package: 'dplyr'

## The following objects are masked from 'package:data.table':
## 
##     between, first, last

## The following objects are masked from 'package:stats':
## 
##     filter, lag

## The following objects are masked from 'package:base':
## 
##     intersect, setdiff, setequal, union

library(bit64)

## Loading required package: bit

## 
## Attaching package: 'bit'

## The following object is masked from 'package:data.table':
## 
##     setattr

## The following object is masked from 'package:base':
## 
##     xor

## Attaching package bit64

## package:bit64 (c) 2011-2017 Jens Oehlschlaegel

## creators: integer64 runif64 seq :

## coercion: as.integer64 as.vector as.logical as.integer as.double as.character as.bitstring

## logical operator: ! & | xor != == < <= >= >

## arithmetic operator: + - * / %/% %% ^

## math: sign abs sqrt log log2 log10

## math: floor ceiling trunc round

## querying: is.integer64 is.vector [is.atomic} [length] format print str

## values: is.na is.nan is.finite is.infinite

## aggregation: any all min max range sum prod

## cumulation: diff cummin cummax cumsum cumprod

## access: length<- [ [<- [[ [[<-

## combine: c rep cbind rbind as.data.frame

## WARNING don't use as subscripts

## WARNING semantics differ from integer

## for more help type ?bit64

## 
## Attaching package: 'bit64'

## The following object is masked from 'package:utils':
## 
##     hashtab

## The following objects are masked from 'package:base':
## 
##     :, %in%, is.double, match, order, rank

library(microbenchmark)
uscompany <- "~/Documents/Projects/uscompanies/data/"
options(scipen = 999)
knitr::opts_chunk$set(echo = TRUE, warning = FALSE)

Introduction It has been a while since loading Large, Messy ...

  Hi there! Early this year we published a research about getting animal abundance estimates from wildlife - vehicles collisions in Ecography journal:Can we model distribution of population abundance from wildlife–vehicles collision data...

Filtering Complex Data with gsignal IntroductionThe gsignal packageis a new signal processing library ported from Octave. If you use Matlab or Octave, gsignal contains many of the signal processing functions you would expect to find. In this p...

In my last post I brought up the World Migration Matrix, an ambitious dataset constructed in 2009 by Louis Putterman and David N. Weil that attempts to trace the ancestral origins of the present-day populations of nearly every country on Earth. It’s a complete matrix, so that you can pick ...