Design philosophy | Working with the agent skill | Trust flow | Information layers | Semantic layer | Context layer | Examples | Data dictionary | Measure file | Context document | Warehouse semantic layers | Data sources | Data dictionaries | Definitions | Project directory organization | Constructing the agent

commons' harness | SQL code execution | Destructive actions | Data access | Transmitting results to the R process | R code execution | OS-level sandboxing | Communication with the main app process | Permissioning facts | Logging trajectories

The basics | Posit Connect | Multiple clients and R sessions | Custom tools

Choosing a model | What is gander actually doing?

Choosing a model | The chores addin | Adding custom helpers

What are helpers for? | The prompt directory | Extension packages | Using others' custom helpers

Introduction | 1-Sample t-Test | 2-Sample t-Test

Introduction | Hypothesis tests | One numerical variable (mean) | One numerical variable (standardized mean $t$) | One numerical variable (median) | One numerical variable (paired) | One categorical (one proportion) | One categorical variable (standardized proportion $z$) | Two categorical (2 level) variables | Two categorical (2 level) variables (z) | One categorical (>2 level) - GoF | Two categorical (>2 level): Chi-squared test of independence | One numerical variable, one categorical (2 levels) (diff in means) | One numerical variable, one categorical (2 levels) (t) | One numerical variable, one categorical (2 levels) (diff in medians) | One numerical, one categorical (>2 levels) - ANOVA | Two numerical vars - SLR | Two numerical vars - correlation | Two numerical vars - SLR (t) | Multiple explanatory variables | Confidence intervals | One numerical (one mean) | One numerical (one mean - standardized) | Two categorical variables (diff in proportions) | Two categorical variables (z) | Two numerical vars - t

Introduction | specify(): Specifying Response (and Explanatory) Variables | hypothesize(): Declaring the Null Hypothesis | generate(): Generating the Null Distribution | calculate(): Calculating Summary Statistics | Other Utilities | Theoretical Methods | Multiple regression | Conclusion

Introduction | Test of Independence | Goodness of Fit

Introduction