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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