Programming & Scientific Computing · R Programming & Statistical Analysis

Introduction to R and RStudio — Expert Reference

Public introduction · full guide in Eikos

Introduction

What this guide covers

Introduction Introduction Data science · Computational statistics

Overview

Topics covered

  • Introduction
  • Introduction to R and RStudio
  • What is R? Nature, history and architecture
  • History and genealogy of language
  • Fundamental characteristics of the language
  • R internal architecture

Related concepts

Main connections

  • Median & robust location
  • Bootstrap resampling
  • Linear algebra & matrices
  • Student's t distribution
  • Chi-squared tests & goodness of fit
  • Quantiles & percentiles

Compatible notation

Mathematical sample in LaTeX

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

𝐱+𝐲=(x1+y1,x2+y2,…,xn+yn)(elementwise)
View LaTeX source\mathbf{x} + \mathbf{y} = (x_1 + y_1,\; x_2 + y_2,\; \ldots,\; x_n + y_n) \quad \text{(elementwise)}