domain {vardpoor}

Extra variables for domain estimation

Description

The function computes extra variables for domain estimation. Each unique D row defines a domain. Extra variables are computed for each Y variable.

Usage

domain(Y, D, dataset = NULL, checking = TRUE)

Arguments

Y

Matrix of study variables. Any object convertible to data.table with numeric values, NA values are not allowed. Object convertible to data.table or variable names as character, column numbers.

D

Matrix of domain variables. Any object convertible to data.table. The number of rows of D must match the number of rows of Y. Duplicated names are not allowed. Object convertible to data.table or variable names as character, column numbers.

dataset

Optional survey data object convertible to data.table.

checking

Optional variable if this variable is TRUE, then function checks data preparation errors, otherwise not checked. This variable by default is TRUE.

Value

Numeric data.table containing extra variables for domain estimation.

References

Carl-Erik Sarndal, Bengt Swensson, Jan Wretman. Model Assisted Survey Sampling. Springer-Verlag, 1992, p.70.

See Also

vardom, vardomh

Examples

### Example 0
 
domain(Y = 1, D = "A")
 
  
### Example 1

Y1 <- as.matrix(1 : 10)
colnames(Y1) <- "Y1"
D1 <- as.matrix(rep(1, 10))
colnames(D1) <- "D1"
domain(Y = Y1, D = D1)
  
### Example 2
Y <- matrix(1 : 20, 10, 2)
colnames(Y) <- paste0("Y", 1 : 2)
D <- matrix(rep(1 : 2, each = 5), 10, 1)
colnames(D) <- "D"
domain(Y, D)

### Example 3
Y <- matrix(1 : 20, 10, 2)
colnames(Y) <- paste0("Y", 1 : 2)
D <- matrix(rep(1 : 4, each = 5), 10, 2)
colnames(D) <- paste0("D", 1 : 2)
domain(Y, D)
  
### Example 4
Y <- matrix(1 : 20, 10, 2)
colnames(Y) <- paste0("Y", 1 : 2)
D <- matrix(c(rep(1 : 2, each = 5), rep(3, 10)), 10, 2)
colnames(D) <- paste0("D", 1 : 2)
domain(Y, D)