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Describing the Survey Design to R
- Creating replicate weights for a design: as.svrepdesign()
- Database-backed designs for large surveys
- Full description of multistage surveys
- The usual ‘with-replacement’ approximation
- Svrepdesign()
- Svydesign()
Summary Statistics
- Computing summary statistics and design effects.
- Contingency tables: schism(), svyloglin()
- Extracting information from result objects
- Tables of summary statistics
Graphics
- Boxplots, histograms, plots of tabular data.
- Scatterplot smoothers.
- Strategies for weighting in scatterplots: bubble plots, hexagonal binning, transparency
Regression
- Generalized linear models
- Linear models
- Proportional odds and other cumulative link models
- Survival analysis