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#rstats

137 posts123 participants12 posts today
Public
Data Science

Do you need better performance than what the standard #tidyverse functions have? {collapse} might be worth a look: sebkrantz.github.io/collapse/ #rstats #optimization

sebkrantz.github.ioAdvanced and Fast Data Transformation in RA large C/C++-based package for advanced data transformation and statistical computing in R that is extremely fast, class-agnostic, robust, and programmer friendly. Core functionality includes a rich set of S3 generic grouped and weighted statistical functions for vectors, matrices and data frames, which provide efficient low-level vectorizations, OpenMP multithreading, and skip missing values by default. These are integrated with fast grouping and ordering algorithms (also callable from C), and efficient data manipulation functions. The package also provides a flexible and rigorous approach to time series and panel data in R. It further includes fast functions for common statistical procedures, detailed (grouped, weighted) summary statistics, powerful tools to work with nested data, fast data object conversions, functions for memory efficient R programming, and helpers to effectively deal with variable labels, attributes, and missing data. It seamlessly supports base R objects/classes as well as units, integer64, xts/zoo, tibble, grouped_df, data.table, sf, and pseries/pdata.frame.
Public
Jon Sullivan

I was working on #RStats today with a postgrad student, Stacey, and we needed a colour palette for a graph. Picking a nice set of colours, instead of "red", "blue", "green", etc. can make a graph sparkle.

We used the MoMAColors palette package by BlakeRMills. It takes colours from some excellent art works from the Museum of Modern Art in New York. Thanks to Blake for making this.

github.com/BlakeRMills/MoMACol

A screenshot from part of the webpage at https://github.com/BlakeRMills/MoMAColors showing the Lupi colour palette and the art work that inspired it, called "Week 43 (Trying New Things / A Week of New Things)", by Giorgia Lupi (2015). It's an abstract piece with ink and pencil, and colored pencil and marker on paper.
Public
Miki :rstats:

#30DayChartChallenge Día 16: Negative Relationship FOUND! 📉🐍🐦🐢🐟

¡Lo conseguimos! Tras ajustar por masa corporal, la relación entre Tasa Metabólica Específica (W/kg) y Longevidad Máxima (años) en ~530 especies animales (AnAge DB, outliers quitados) SÍ es negativa (Pearson ρ ≈ -0.42, p < 2.2e-16). #RelationshipsWeek #Animals

El gráfico log-log muestra la tendencia: mayor intensidad metabólica por kilo se asocia con vidas más cortas. ¡Apoya la idea del "ritmo de vida"! 🔥➡️⏳ Colores por Clase Taxonómica.

Un recordatorio de la importancia de normalizar variables y limpiar datos para ver la señal correcta. ¡Ciencia en acción!

🛠 #rstats #ggplot2 #ggpubr | Data: AnAge | Theme: #theme_week3_animals
📂 Código/Viz: t.ly/ouLN0

Scatter plot log-log mostrando la relación entre Longevidad Máxima (años, eje Y) y Tasa Metabólica Basal Específica (Watts/kg, eje X) para 534 especies animales (outliers eliminados). Los puntos están coloreados por Clase taxonómica (Mammalia, Aves, Reptilia, Amphibia). Una línea de regresión lineal de color marrón oscuro con intervalo de confianza gris muestra una clara tendencia negativa. El coeficiente de correlación de Pearson (rho = -0.42, p < 2.2e-16) se muestra en la esquina superior derecha. El gráfico utiliza un tema con fondo beige claro y textos en marrón. Fuente: AnAge Database.
#Day16#Negative#dataviz
Public
safest_integer

```
library(tidyverse)
z = function(n) {
bb = function(i) {
x = y = 0
for (k in 0:(n - 1)) {
x = x + ((floor(i/2^(2*k))) %% 2) * 2^k
y = y + ((floor(i/2^(2*k+1))) %% 2) * 2^k
}
c(x, y)
}
as.data.frame(t(sapply(0:(4^n - 1), bb)))
}
ggplot(z(6)) +
geom_path(aes(x=V1, y=V2, col=sin(V1/4)+cos(V2/4)), show.legend=F) +
scale_colour_gradient(low='orange', high='blue') +
theme_void()
```
en.wikipedia.org/wiki/Z-order_
#rstats #generativeart #tilingtuesday #rtistry

Public
Luke Pembleton

Too much frustration with trying to implement some quarto this week. Settling for just the original perfectly functional #rstats script and some plots saved as high quality images or append into a pdf was all it needed. Sometimes I’m all aboard the quarto train and sometimes I feel it’s just too much friction…

Public *
Tyler Morgan-Wall

Anyone in #RStats ever wrap a static library and get it on the CRAN without problems? I've successfully built some packages (that require cmake), have installed the static library to inst/lib/ARCH, and then have successfully linked the library in another package, but it's unclear how blessed this is by the CRAN.

Below are the relevant sections from Writing R Extensions:
cran.r-project.org/doc/manuals

WRE, Unix-alikes:
cran.r-project.org/doc/manuals

WRE, Windows:
cran.r-project.org/doc/manuals

cran.r-project.orgWriting R ExtensionsWriting R Extensions
Public
Philippe Massicotte

I need input from #rstats users who use the rnaturalearth package.

Currently, the ne_download() function always save the requested data on disk whatever the load argument is set to TRUE or FALSE.

I am currently thinking to change this behavior to only save the data on disk when load = FALSE. This would be a breaking change, but I think it would be more consistent with the argument name and save unnecessary disk operations.

What do you think?

Public
rOpenSci

📣 rOpenSci Champions Program Application Clinic coming up in 45 minutes! | Clinica de Aplicación para el Programa de Campeon(e|a)s de rOpenSci en 45 minutos!

Yanina Bellini Saibene will be there to answer questions and help you with your application | Yani estara disponible durante el evento para contestar preguntas y ayudarte con tu aplicacion.

The event will have Spanish as first language | El evento tendra al castellano como idioma principal.

Info to join | Info para sumarte: ropensci.org/events/clinica-ch

ropensci.orgClinica de Aplicación para el Programa de Campeon(e|a)s de rOpenSciEspacio para preguntas sobre el programa de Campeon(e|a)s de rOpenSci y para trabajar en tu aplicación para ser parte del programa.
#RStats#RStatsES
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