Random sampling methods based on R and their applications

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Summary

The results showed that simple random sampling and systematic sampling can be realized directly through the R sampling functions, and before making stratified sampling, cluster sampling and multi-stage sampling, the data frames need to be constructed according to the characteristics of the populations.

Type
article
Published
2014-01-01
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Keywords

Stratified sampling, Sampling (signal processing), Systematic sampling, Cluster sampling, Simple random sample

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