This repository contains the second programming assignment for an R course, focused on caching expensive computations by leveraging R’s scoping rules. The assignment walks you through creating a special matrix object that stores both a matrix and its cached inverse, avoiding repeated calls to costly operations. It builds on a worked example that caches the mean of a numeric vector, demonstrating how the operator preserves state across function calls. You then implement analogous logic for matrices via two functions, one to construct the cache-aware object and another to compute or retrieve the cached inverse. The instructions emphasize using solve for inversion and assuming that the supplied matrix is always invertible. The repository outlines the workflow for forking, editing the provided R stub, committing your solution, and submitting your repository URL as the final deliverable.

Features

  • Provides R script templates for a programming assignment
  • Demonstrates lexical scoping concepts in R
  • Implements caching to avoid redundant matrix inversion
  • Includes instructions for modifying provided functions
  • Helps learners practice functional programming in R
  • Serves as coursework material for the Coursera specialization

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Programming Language

R

Related Categories

R Education Software

Registered

2025-09-24