Programming & Scientific Computing · R Programming & Statistical Analysis

Advanced R: Functional programming and control structures

Public introduction · full guide in Eikos

Introduction

What this guide covers

Introduction Introduction Scientific Computing & Advanced R

Overview

Topics covered

  • Introduction
  • Functional Programming and Control Structures in R
  • Execution and Evaluation Philosophy in R
  • Lazy Evaluation and Promises
  • Environments and Assessment Frameworks
  • Closures

Related concepts

Main connections

  • Linear algebra & matrices
  • Bootstrap resampling
  • Calculus & differentiation
  • Quantiles & percentiles
  • Data types & schema specification
  • Confidence interval

Compatible notation

Mathematical sample in LaTeX

The expression is rendered accessibly, with its LaTeX source preserved below.

E=⟨ℬ,Epadre⟩
View LaTeX sourceE = \langle \mathcal{B}, E_{\text{padre}} \rangle