Description Objects from the Class Slots Methods Author(s) References See Also Examples
Holds a population object with its calculated parameters for use in Monte Carlo repeated sampling experiments.
Objects can be created by calls of the form new("montePop",
...). However, it is probably better, and certainly easier, to use
the constructor method montePop to create objects.
mean:Object of class "numeric": The population
mean.
var:Object of class "numeric": The population
variance.
stDev:Object of class "numeric": The population
standard deviation
N:Object of class "numeric": The size of the population.
total:Object of class "numeric": The population
total.
popVals:Object of class "numeric": The
individual population values.
zeroTruncated:Object of class "logical":
TRUE: The population is zero-truncated; FALSE
otherwise. This is used specifically with
"sampSurf" objects.
n:Object of class "numeric": The desired sample
sizes for calculation of the following three slots. Note that this
and the following slots can be NA if this sample size-based
information is not desired.
fpc:Object of class "numeric": The finite
population correction for each sample size, or NA.
varMean:Object of class "numeric": The variance
of the mean for the population at each sample size, or NA.
stErr:Object of class "numeric": The population
standard error of the mean for each sample size, or NA.
description:Object of class "character": a
description of the population if desired.
signature(x = "montePop"): population histogram
signature(population = "montePop"):
Bootstrap sampling from the population.
signature(population = "montePop"):
Normal threory (simple random) sampling from the population.
signature(object = "montePop"): the population.
signature(object = "montePop"): of the population.
Jeffrey H. Gove
The ‘“monte”: When is n Sufficiently Large?’ vignette.
1 | showClass("montePop")
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