Computes the Hansen-Hurwitz estimator of the population total according to a simple random sampling with replacement design
E.WR(N, m, y)
Vector, matrix or data frame containing the recollected information of the variables of interest for every unit in the selected sample
Returns the estimation of the population total of every single variable of interest, its estimated variance and its estimated coefficient of variation estimated under an simple random with replacement design
The function returns a data matrix whose columns correspond to the estimated parameters of the variables of interest
Hugo Andres Gutierrez Rojas firstname.lastname@example.org
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
# Uses the Lucy data to draw a random sample according to a WR design data(Lucy) attach(Lucy) N <- dim(Lucy) m <- 400 sam <- S.WR(N,m) # The information about the units in the sample is stored in an object called data data <- Lucy[sam,] attach(data) names(data) # 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.WR(N,m,estima)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.