Overview | The registration API | Example 1: Randomized pivotal sampling | Joint probabilities via he_jip() | Verifying the registration | Example 2: Wrapping an external package (sampling::UPtille) | Example 3: A custom with-replacement method | Example 4: A custom balanced method | Example 5: A spatial method with spread | Writing a joint_fn | Session persistence | References

Overview | Equal probability sampling | Without replacement | With replacement | Unequal probability sampling | Computing design quantities | Balanced sampling | Stratified balanced sampling | Balanced sampling with inequalities | Spatially balanced sampling | Design queries | Joint inclusion probabilities (WOR) | Joint expected hits (WR) | Submatrices for large populations | Sampling covariance | Batch sampling | Design properties and statistical guarantees | Notes on specific methods | Choosing a method | Choosing a variance strategy | Extending sondage | References

Configure robotoolbox | KoboToolbox API assets | List your projects | KoboToolbox asset | KoboToolbox data | Filtering and selecting fields | KoboToolbox form | Wrapping up

Loading the project | Extracting the audit data

Spatial data | Survey questions | Loading the project | Extracting the data | Geopoint | Geotrace | Geoshape | Conclusion

Loading data | Loading the survey | Extracting the data | Manipulating repeat group as dm object | Visualizing the relationship between tables | Number of rows of each table | A dm object is a list of data.frame | Filtering data | Joining tables | Conclusion

Loading the survey | Listing available languages | Reading data in each language | Accessing variable labels | Variable labels as column names | Accessing labels from select_one question type | Accessing labels for select_multiple question type