Blog

Notes, tutorials, and workshop materials on R programming, data wrangling, and spatial data analysis.

R Notes

Notes, tutorials, and workshop materials on R programming, data wrangling, and spatial data analysis.

  • Introduction to Deepseek in R

    Hands-on guide to installing and running large language models locally using Ollama, with practical steps for deploying LLMs on your own machine.

  • Clonar Repositorios de GIT desde RStudio

    Step-by-step guide on cloning GitHub or GitLab repositories directly from RStudio, including Git setup and project management tips.

  • Tidy Data in R

    Principles of tidy data in R, emphasizing standardized data structure for efficient analysis using the tidyverse framework.

  • Data Structures in R

    Introduction to fundamental object types in R — vectors, matrices, lists — through clear explanations and practical examples.

  • Introduction to Raster in R

    Fundamentals of raster data in R, including structure, spatial resolution, and hands-on examples using the raster and terra packages.