Enhanced Teaching Assistant (AI) for Statistical Analysis

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Documentation for package ‘EnTraineR’ version 1.0.0

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deforestation River deforestation: air and water temperatures before/after
gemini_generate Generate text with Google Gemini (Generative Language API) - robust w/ retries
ham Ham: sensory descriptors and overall liking
poussin Poussin: weight by brooding temperature and sex
trainer_AovSum Trainer: Interpret ANOVA (AovSum) with an LLM-ready prompt
trainer_chisq_test Interpret a chi-squared test (chisq.test) with an audience-aware LLM prompt
trainer_core_actually_shown Determine which requested items were actually shown after filtering
trainer_core_audience_profile Build an audience profile (beginner / applied / advanced) with optional summary-only mode
trainer_core_build_prompt Assemble a standard prompt with common sections
trainer_core_conf_label Confidence level label helper
trainer_core_detect_main_factors Detect main-effect factor names present in T-test lines (ignore interactions) Space-safe: captures everything before " - " on non-interaction rows.
trainer_core_extract_block_after Extract lines following a header (up to first blank line)
trainer_core_filter_ttest_by_factors Filter T-test lines by requested factors (main and/or interactions)
trainer_core_generate_or_return Generate or return a prompt, depending on 'generate'
trainer_core_llm_generate LLM generation helper for TraineR
trainer_core_prompt_header Build the standard header for prompts
trainer_core_summary_only_block Utility: render a standard 3-bullet summary-only instruction
trainer_core_ttest_scope_msg Scope message for T-test section based on requested & found factors
trainer_cor_test Interpret a correlation test (cor.test) with an audience-aware LLM prompt
trainer_LinearModel Trainer: Interpret FactoMineR::LinearModel with an LLM-ready prompt
trainer_MCA Trainer: Name an MCA dimension (FactoMineR::MCA) with an LLM-ready prompt
trainer_PCA Trainer: Name a PCA dimension (FactoMineR::PCA) with an LLM-ready prompt
trainer_prop_test Interpret a proportion test (prop.test) with an audience-aware LLM prompt
trainer_t_test Interpret a Student's t-test (stats::t.test) with an LLM-ready prompt
trainer_var_test Interpret an F test comparing two variances (var.test) with an audience-aware LLM prompt