View source: R/summarizeNetworkInformation.R
summarizeNetworkInfo | R Documentation |
The purpose of this is to reduce computation time by calculating some necessary information before the data is bootstrapped. The function calculates (1) $pi_i$ (the unit inclusion probability) for each unit, given the size of its associated network and sample size (n1_vec
) and (2) for each of the variables
, the sum of the values of that variable for each network.
summarizeNetworkInfo(popdata, vars, popvar = NULL, n1_vec, yvar)
popdata |
population data. |
vars |
variables to summarise |
popvar |
A character string (OR VECTOR??) used to identify different populations. The default value is NULL. |
n1_vec |
Vector of initial sample size(s) for the initial simple random sample(s) without replacement; can be a single value or vector of values. |
yvar |
A string giving the name of the variable of interest, y, in the supplied dataframe popdata. This variable determines the condition under which adaptive cluster sampling takes place. In the dataframe $popdata$ this variable y must be numeric. |
The population data (one row per cell of each population), with additional columns indicating $pi_i$ for each network and (n1
) and the number of units per network for each of the vars
. WHERE the value of the var is greater than zero?
saubyadaptiveACSampling
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