Structural Equation Modeling in R
A technical introduction to Structural Equation Modeling (SEM) in R, explaining its concepts, graphical models, and applications in research.
Andis Arietta is a data scientist and evolutionary ecologist researching how land management and climate change shape eco-evolutionary dynamics. With a background in genomics, statistics, and machine learning, he bridges science, conservation, and data-driven decision making.
7 articles from this blog
A technical introduction to Structural Equation Modeling (SEM) in R, explaining its concepts, graphical models, and applications in research.
A technical guide on using AI models like ChatGPT and Claude2 in R to analyze and summarize large volumes of public comment text for policy research.
A technical guide on using R to convert smartphone spherical panoramas into hemispherical images for canopy analysis, including code and workflow.
A tutorial on visualizing mixed effect regression models and their uncertainty using non-parametric bootstrapping in R with ggplot2.
A tutorial on creating biomass pyramid and funnel plots using ggplot2 in R, including code examples and customization tips.
A tutorial on visualizing custom statistical models, including linear and non-linear fits, using ggplot2 in R for data science workflows.
A technical tutorial on web scraping and text analysis using R and ggplot2 to analyze descriptions of US Wilderness Areas.