R_hat | R Documentation |
R_hat is calculated by dividing the Horvitz-Thompson estimator, Tau_hat_z by Tau_hat_x. See p. 77, Thompson (2002). THERE CANNOT BE NAS IN X OR Y?
R_hat(y, x, N, n1, m_vec, replace = "FALSE")
y |
The variable of interest, y. Must be a numeric vector. The criterion that determines whether adaptive cluster sampling takes place is based on this variable. |
x |
A vector of values for variable $x$, which is auxiliary data about the variable of interest $y$. |
N |
Population size. |
n1 |
An integer giving the initial sample size (e.g., a simple random sample). |
m_vec |
Vector of values m for the set of units in a sample, of length n1. Each m value within the vector |
replace |
Whether sampling should be done with or without replacement. Defaults to |
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