The tutorals follow the textbook Sampling by Steven K. Thompson, Third Edition and tutorials by Shirin Golchi. The data sets are from the basic R library and from these sites: Data Sets 1 and Flickr Data.
CLT and SRS without replacement, data file
Sampling distributions of sample mean, Hansen-Hurwitz, Horvitz-Thompson estimators
Variances of Hansen-Hurwitz and Horvitz-Thompson estimators through simulations
Ratio Estimator sampling distribution and Model Based inference simulations
Comparing stratificaion designs with different allocation of sample sizes within a stratum
Comparing different allocation of sample size within a stratum and Cluster sampling design, Data Set
Systematic sampling and Cluster sampling through simulations, Data Set
Hansen-Hurwitz and Horvitz-Thompson with Cluster Design and simulations from Multi-Stage design, Data Set
Network Sampling design, parallel computing and using sql within R, Data Set