Explores a robust location estimator (Tukey's shorth) through simulation, examining its asymptotic normality and efficiency compared to the mean and median.
Explains that svyglm uses robust standard errors, detailing the statistical theory and variance estimation for survey data.
A technical tutorial explaining core R Shiny concepts like reactivity, UI components, and modules with code examples.
Announces 15 new free R programming books added to the Big Book of R collection, covering data visualization, machine learning, statistics, and databases.
Announces 9 new free and paid books added to the Big Book of R collection, covering data science, visualization, and package development.
A tutorial on using the R package {blastula} to create and send automated emails with dynamic content and HTML formatting.
A comparison of the native Base R pipe (|>) and the {magrittr} pipe (%>%), covering their syntax, strictness, and use cases for data analysis.
![7 New Books added to Big Book of R [7/12/2024]](https://alldevblogs.blob.core.windows.net/thumbs/article-74a3437fb78e-full-9ff738a4.webp)
Announces 7 new free R programming books added to the Big Book of R collection, covering topics like machine learning, data science, and software engineering.
A guide to methods and R implementations for comparing spatial patterns in raster data, covering continuous and categorical data for overlapping and arbitrary regions.
A technical guide to methods for comparing spatial patterns in raster data, focusing on analysis using R for both continuous and categorical data.
The Big Book of R adds five new free, open-source books covering R programming for production, survey analysis, causal inference, biodiversity data, and natural resources.
A technical tutorial on creating interactive data tables by web-scraping with R's rvest package and styling with reactable.
A tutorial on creating interactive, production-grade tables in R using the reactable and reactablefmtr packages.
A tutorial on the six most fundamental R functions for data cleaning, using the tidyverse and palmerpenguins dataset.
Explains a crucial flaw in using boxplots for data visualization and suggests better alternatives.
Explores experimental cross-validation methods for complex survey data using replicate-weight decompositions to respect sampling structure.
Explores methods for choosing optimal weighting parameters (θ) in dual-frame survey sampling to minimize variance in population estimates.
Announces the addition of 6 new R programming books to the Big Book of R collection, covering statistics, machine learning, and data science.
![Big Book of R at 400 [New milestone!]](https://alldevblogs.blob.core.windows.net/thumbs/article-12e01710b8e8-full-a2e2e955.webp)
The Big Book of R, a curated collection of free R programming books, celebrates a milestone of over 400 entries and requests community support for hosting costs.
Using simulated annealing to optimize parameters (B and J) in a spatial kinetic Ising model for simulating spatial patterns.
