Computes the Horvitz-Thompson estimator of the population total according to an SY sampling design
E.SY(N, a, y)
Number of groups dividing the population
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 standard error and its estimated coefficient of variation under an SY sampling 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.
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# Uses the Lucy data to draw a Systematic sample data(Lucy) attach(Lucy) N <- dim(Lucy) # The population is divided in 6 groups # The selected sample sam <- S.SY(N,6) # 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.SY(N,6,estima)
Loading required package: dplyr Attaching package: ‘dplyr’ The following objects are masked from ‘package:stats’: filter, lag The following objects are masked from ‘package:base’: intersect, setdiff, setequal, union Loading required package: magrittr The following objects are masked from Lucy: Employees, ID, Income, Level, SPAM, Taxes, Ubication, Zone  "ID" "Ubication" "Level" "Zone" "Income" "Employees"  "Taxes" "SPAM" N Income Employees Taxes Estimation 2394 1.030026e+06 1.502340e+05 27714.000000 Standard Error 0 2.831152e+04 3.303355e+03 1577.105663 CVE 0 2.748622e+00 2.198806e+00 5.690646 DEFF NaN 1.000000e+00 1.000000e+00 1.000000
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