Rstats

R Code Optimization IV: Practical Tools and Workflow

The fourth and final post in the series, covering profiling with profvis, benchmarking with microbenchmark and bench, and the iterative optimization workflow that brings it all together.

R Code Optimization III: Hardware Utilization and Performance

The third post in a four-part series on code optimization, covering vectorization, parallelization, and memory management techniques to maximize computational efficiency.

R Code Optimization II: Language, Design, and Readability

The second post in a series on code optimization, exploring how programming languages, clean code principles, and how algorithm design shapes code efficiency.

R Code Optimization I: Foundations and Principles

The first post in a series focused on code optimization, establishing the foundational principles and decision framework for when to optimize code.

Analyzing Epidemiological Time Series With The R Package {distantia}

Tutorial on the applications of the R package {distantia} to the analysis of epidemiological time series.

Coding a Minimalistic Dynamic Time Warping Library with R

Tutorial on how to implement dynamic time warping in R

R package collinear

R package for multicollinearity management in data frames with numeric and categorical variables.

R package distantia

R package to compare multivariate time-series with dynamic time warping and lock-step methods.

R package spatialRF

R package for spatial regression with Random Forest

Designing R Functions to Compute Betadiversity Indices

Brief tutorial on writing R functions to compute betadiversity scores