R · Fundamental data structures · Introduction

Introduction

What this guide covers

A comprehensive, rigorous, and formal dissection of R's system of types and containers: atomic vectors, factors, matrices, arrays, lists, data frames, and tibbles—its internal semantics, its coercion rules, its memory model, and its implications for applied statistical analysis.

Overview

Topics covered

Introduction
Fundamental data structures in R
Philosophy and mental model of R
1.1 General taxonomy of data structures
1.2 Three questions that determine any R object
The six atomic types

Related concepts

Main connections

Compatible notation

Mathematical sample in LaTeX

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

0.1 + 0.2 \neq 0.3 \quad \text{In binary arithmetic of double precision}

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0.1 + 0.2 \neq 0.3 \quad \text{In binary arithmetic of double precision}