Description Usage Arguments Details Value Author(s) References See Also Examples
Computes the Horvitz-Thompson estimator of the population total according to a PO sampling design
Vector, matrix or data frame containing the recollected information of the variables of interest for every unit in the selected sample
Vector of inclusion probabilities for each unit in the selected sample
Returns the estimation of the population total of every single variable of interest, its estimated standard error and its estimated coefficient of variation under a PO sampling design
The function returns a data matrix whose columns correspond to the estimated parameters of the variables of interest
Hugo Andres Gutierrez Rojas email@example.com
Sarndal, C-E. and Swensson, B. and Wretman, J. (1992), Model Assisted Survey Sampling. Springer.
Gutierrez, H. A. (2009), Estrategias de muestreo: Diseno de encuestas y estimacion de parametros. Editorial Universidad Santo Tomas.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20
# Uses the Lucy data to draw a Poisson sample data(Lucy) attach(Lucy) N <- dim(Lucy) # The population size is 2396. The expected sample size is 400 # The inclusion probability is proportional to the variable Income n <- 400 Pik<-n*Income/sum(Income) # The selected sample sam <- S.PO(N,Pik) # The information about the units in the sample is stored in an object called data data <- Lucy[sam,] attach(data) names(data) # The inclusion probabilities of each unit in the selected smaple inclusion <- Pik[sam] # The variables of interest are: Income, Employees and Taxes # This information is stored in a data frame called estima estima <- data.frame(Income, Employees, Taxes) E.PO(estima,inclusion)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.