Dat: Joint sample database
In Frames2: Estimation in Dual Frame Surveys

Description Usage Format Details Examples

This dataset contains some variables coming from a real dual frame survey conducted in 2013 in Andalusia (Spain) by a scientific institute specialized in social topics. With this dataset it is intented to show how to properly split a joint dual frame sample into subsamples, so functions of Frame2 can be used.

Dat

Drawnby: Indicates whether individual was selected in the landline sample(1) or in the cell phone sample(2).
Stratum: Indicates the stratum each individual belongs to. For individuals selected in cell phone sample, value of this variable is NA.
Opinion: Response of the individual to the question: Do you think that immigrants currently living in Andalusia are quite a lot? 1 represents "yes" and 0 represents "no".
Landline: Indicates whether individual has a landline (1) or not (0).
Cell: Indicates whether individual has a cell phone(1) or not(0).
ProbLandline: First order inclusion probability of reaching the individual by landline.
ProbCell: First order inclusion probability of reaching the individual by cell phone.
Income: Monthly income (in euros) of the individual.

The survey was based on two frames: a landline frame and a cell phone frame. Landline frame was stratified by province and simple random sampling without replacement was considered in cell phone frame. The size of the whole sample was n = 2402. Total of the variable Income in the whole population is X_{Income} = 12686232063.

data(Dat)
attach(Dat)

#We are going to split dataset Dat into two new datasets, each 
#one corresponding to a frame: frame containing individuals
#using landline and frame containing individuals using cell phone.

FrameLandline <- Dat[Landline == 1,]
FrameCell <- Dat[Cell == 1,]

#Equally, we can split the original dataset in three new different 
#datasets, each one corresponding to one domain: first domain containing
#individuals using only landline, second domain containing individuals
#using only cell phone and the third domain containing individuals
#using both landline and cell phone.

DomainLandline <- Dat[Landline == 1 & Cell == 0,]
DomainCell <- Dat[Landline == 0 & Cell == 1,]
DomainBoth <- Dat[Landline == 1 & Cell == 1,]

#From the domain datasets, we can build frame datasets

FrameLandline <- rbind(DomainLandline, DomainBoth)
FrameCell <- rbind(DomainCell, DomainBoth)