Utilize R to perform linear regression analysis on an e-commerce sales dataset, reinforcing the concepts learned in Week 2.

This project provides a structured introduction to numerical analysis, focusing on methods for solving equations, approximating integrals, and handling systems of linear equations. It begins with root-finding techniques, including the method of false position, Newton-Raphson, secant method, and fixed-point iteration. Numerical integration is addressed through Riemann sums, Simpson’s rule, and the Romberg algorithm, illustrating different approaches to approximation and accuracy. Finally, the project examines Gaussian elimination, both in its basic form and with scaled partial pivoting, to solve linear systems efficiently and reliably. Overall, it offers a concise yet comprehensive foundation in numerical methods, blending theoretical insight with computational practice.

Análisis de la Dinámica del Sector Cemento en Colombia: Extracción de Señales y Pronóstico ARIMA y SARIMA

Dokumen ini berisi pembahasan tentang analisis data kategori menggunakan R. Materi yang ada mencakup konsep dasar dalam analisis data kategori seperti tabel kontingensi, ukuran asosiasi, dan model log-linear.