Functional Programming - PSYCHOLOGICAL STATISTICS

Learning R: Applying Functions to Vectors with `sapply()`

Introduction to Iterative Function Application in R The R programming language is renowned for its powerful statistical capabilities and its core philosophy of applying operations across entire data structures rather than relying on traditional looping constructs. When dealing with sequences of data, such as a vector, it is a frequent requirement to apply a specific […]

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Learning to Reduce Lists with the `reduce()` Function in R

In the expansive world of data analysis and scientific computing conducted using R, a common and critical requirement is the ability to aggregate a large collection of data elements—be it a complex list or a simple vector—into a single, concise summary value. This fundamental process is often referred to as folding or reduction in the

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Understanding `lapply()` vs. `sapply()` in R: A Comprehensive Guide

The lapply() function is a cornerstone of the R programming language, serving as a powerful utility for implementing the principles of functional programming. Its core purpose is to iterate systematically over elements within various data structures—be they a list, a vector, or a data frame—and it is strictly defined to return all resulting values consistently

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Learning the `map()` Function in R: A Step-by-Step Guide with Examples

The map() function, a cornerstone of the purrr package in R, is an incredibly powerful tool designed to streamline iterative operations. It allows users to apply a specific function to every element within a vector or list, returning the results consistently organized within a list structure. This approach aligns perfectly with the principles of functional

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