OrderWR {TeachingSampling} | R Documentation |
Pseudo-Support for Fixed Size With Replacement Sampling Designs
Description
Creates a matrix containing every possible ordered sample under fixed sample size with replacement designs
Usage
OrderWR(N,m,ID=FALSE)
Arguments
N |
Population size |
m |
Sample size |
ID |
By default FALSE, a vector of values (numeric or string) identifying each unit in the population |
Details
The number of samples in a with replacement support is not equal to the number of ordered samples induced by a with replacement sampling design.
Value
The function returns a matrix of N^m
rows and m
columns. Each row of this matrix
corresponds to a possible ordered sample.
Author(s)
Hugo Andres Gutierrez Rojas hagutierrezro@gmail.com. The author acknowledges to Hanwen Zhang for valuable suggestions.
References
Tille, Y. (2006), Sampling Algorithms. Springer
Gutierrez, H. A. (2009), Estrategias de muestreo: Diseno de encuestas y estimacion de parametros.
Editorial Universidad Santo Tomas
See Also
Examples
# Vector U contains the label of a population
U <- c("Yves", "Ken", "Erik", "Sharon", "Leslie")
N <- length(U)
# Under this context, there are five (5) possible ordered samples
OrderWR(N,1)
# The same output, but labeled
OrderWR(N,1,ID=U)
# y is the variable of interest
y<-c(32,34,46,89,35)
OrderWR(N,1,ID=y)
# If the smaple size is m=2, there are (25) possible ordered samples
OrderWR(N,2)
# The same output, but labeled
OrderWR(N,2,ID=U)
# y is the variable of interest
y<-c(32,34,46,89,35)
OrderWR(N,2,ID=y)
# Note that the number of ordered samples is not equal to the number of
# samples in a well defined with-replacement support
OrderWR(N,2)
SupportWR(N,2)
OrderWR(N,4)
SupportWR(N,4)