In this workshop we will explore using AI to perform various data analyses, including univariate, bivariate, and multivariate analyses as well as generate reproducible code. We will use AI to explore checking assumptions and interpretations of statistical models as well as missing data analysis. We will also explore using AI to learn more about specific […]
This workshop will explore how to utilize AI to create plots and tables. We will also focus on how to create plots that match journal specifications as well as how to annotate plots that were created in other programs. We will also cover how to generate reproducible code for the data visualizations and tables.
This workshop will focus on how to use AI to design studies to answer research questions. In particular, we will utilize AI to explore various experimental designs and sampling strategies under feasibility constraints. We will also explore using AI to help determine the best way to organize the data for the study as well as […]
This workshop will focus on using AI to construct analyzable datasets from archival data sources, pdfs, images, and other sources and formats. We will also focus on manipulating and transforming data for statistical analysis.
When data is measured at multiple spatial locations, it often follows that measurements that are close together are more similar than measurements that are further apart. This puts us at risk of violating the linear model assumption of independent observations. Researchers can try to detect violation of independence via visual inspection of maps of residuals […]