Stratified Random Sampling in R : In Stratified sampling every member of the population is grouped into homogeneous subgroups before sampling. Each sub group is called Strata. A representative from each strata is chosen randomly, this is stratified random sampling. Lets see in R
Stratified random sampling of dataframe in R:
Sample_n() along with group_by() function is used to get the stratified random sampling of dataframe in R as shown below. We are using iris dataset
# stratified Random Sampling in R Library(dplyr) sample_iris <- iris %>% group_by(Species) %>% sample_n(3) sample_iris
3 rows are selected from each Species(strata) so the result will be
