The samplyr package includes synthetic sampling frames for demonstrating survey sampling designs. These frames use real administrative divisions from African countries. They are designed to illustrate common survey sampling scenarios.
Datasets
bfa_eas: LSMS-style EA frame (Burkina Faso, 14,900 EAs)
zwe_eas: DHS-style EA frame (Zimbabwe, 22,600 EAs)
zwe_households: Household frame for two-phase sampling (Zimbabwe, 379,326 HH)
ken_enterprises: Enterprise survey frame (Kenya, 6,823 establishments)
Auxiliary Data
bfa_eas_variance: Stratum variances for Neyman allocation
bfa_eas_cost: Stratum costs for optimal allocation