Enhanced Teaching Assistant (AI) for Statistical Analysis
Generate text with Google Gemini (Generative Language API) - robust w/...
Trainer: Interpret ANOVA (AovSum) with an LLM-ready prompt
Interpret a chi-squared test (chisq.test) with an audience-aware LLM p...
Interpret a correlation test (cor.test) with an audience-aware LLM pro...
Determine which requested items were actually shown after filtering
Build an audience profile (beginner / applied / advanced) with optiona...
Assemble a standard prompt with common sections
Confidence level label helper
Detect main-effect factor names present in T-test lines (ignore intera...
Extract lines following a header (up to first blank line)
Filter T-test lines by requested factors (main and/or interactions)
Generate or return a prompt, depending on generate
LLM generation helper for TraineR
Build the standard header for prompts
Utility: render a standard 3-bullet summary-only instruction
Scope message for T-test section based on requested & found factors
Trainer: Interpret FactoMineR::LinearModel with an LLM-ready prompt
Trainer: Name an MCA dimension (FactoMineR::MCA) with an LLM-ready pro...
Trainer: Name a PCA dimension (FactoMineR::PCA) with an LLM-ready prom...
Interpret a proportion test (prop.test) with an audience-aware LLM pro...
Interpret a Student's t-test (stats::t.test) with an LLM-ready prompt
Interpret an F test comparing two variances (var.test) with an audienc...
An assistant built on large language models that helps interpret statistical model outputs in R by generating concise, audience-specific explanations.
Useful links