| sampleP {NonProbEst} | R Documentation |
A probabilistic sample
Description
A dataset of 500 individuals extracted with simple random sampling from a simulated fictitious population of 50,000 individuals. Further details on the generation of the dataset can be found in Ferri-García and Rueda (2018). The variables present in the dataset are the following:
education_primaria. A binary variable indicating if the highest academic level achieved by the individual is Primary Education.
education_secundaria. A binary variable indicating if the highest academic level achieved by the individual is Secondary Education.
education_terciaria. A binary variable indicating if the highest academic level achieved by the individual is Tertiary Education.
age. A numeric variable, with values ranging from 18 to 100, indicating the age of the individual.
sex. A binary variable indicating if the individual is a man.
Usage
sampleP
Format
An object of class data.frame with 500 rows and 5 columns.
References
Ferri-García, R., & Rueda, M. (2018). Efficiency of propensity score adjustment and calibration on the estimation from non-probabilistic online surveys. SORT-Statistics and Operations Research Transactions, 1(2), 159-162.