TeachingSampling (version 4.1.1)

Domains: Domains Indicator Matrix

Description

Creates a matrix of domain indicator variables for every single unit in the selected sample or in the entire population

Usage

Domains(y)

Arguments

y

Vector of the domain of interest containing the membership of each unit to a specified category of the domain

Value

The function returns a \(n\times p\) matrix, where \(n\) is the number of units in the selected sample and \(p\) is the number of categories of the domain of interest. The values of this matrix are zero, if the unit does not belongs to a specified category and one, otherwise.

Details

Each value of y represents the domain which a specified unit belongs

References

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.

See Also

E.SI

Examples

# NOT RUN {
############
## Example 1
############
# This domain contains only two categories: "yes" and "no"
x <- as.factor(c("yes","yes","yes","no","no","no","no","yes","yes"))
Domains(x)

############
## Example 2
############
# Uses the Lucy data to draw a random sample of units according 
# to a SI design
data(Lucy)
attach(Lucy)

N <- dim(Lucy)[1]
n <- 400
sam <- sample(N,n)
# The information about the units in the sample is stored in an object called data
data <- Lucy[sam,]
attach(data)
names(data)
# The variable SPAM is a domain of interest
Doma <- Domains(SPAM)
Doma
# HT estimation of the absolute domain size for every category in the domain
# of interest
E.SI(N,n,Doma)

############
## Example 3
############
# Following with Example 2... 
# The variables of interest are: Income, Employees and Taxes
# This function allows to estimate the population total of this variables for every 
# category in the domain of interest SPAM 
estima <- data.frame(Income, Employees, Taxes)
SPAM.no <- estima*Doma[,1]
SPAM.yes <- estima*Doma[,2]
E.SI(N,n,SPAM.no)
E.SI(N,n,SPAM.yes)
# }