Pderiv: Derivative of the Prevalence Function
In cuboideum/deadpop: Analysis of Skeletal Populations
Description
Usage
Arguments
Details
Value
Examples
Description
The prevalence ratio is calculated as the number of individuals/elements
carrying a specific trait by the number of individuals/elements in the
sample. This function calculates the derivative of this term.
Usage
1
Arguments
s
An integer specifying the number of individuals/elements in the
sample.
c
An integer, specifying the number of cases, i. e. the number of
individuals/elements carrying the trait of interest in the sample.
Details
The prevalence ratio is determined both by the number of
indivduals/elements carrying the trait of interest and by the number of
individuals/elements in the sample. The graph of a prevalence function with
a fixed number of affected indivduals/elements and a variable sample size
has both the x and the y axis as asymptotes. The derivative of the
prevalence function yields the slope of a tangent line to this graph for a
specific sample size. It has been hypothesised to serve as an indicator of
the effect of sample size on the local prevalence ratio.
Value
The derivative of the prevalence function is returned as a rational
number.
Examples
1
2
3
cuboideum/deadpop documentation built on Feb. 5, 2021, 11:21 p.m.
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Description Usage Arguments Details Value Examples
Description
The prevalence ratio is calculated as the number of individuals/elements carrying a specific trait by the number of individuals/elements in the sample. This function calculates the derivative of this term.
Usage
1 |
Arguments
s |
An integer specifying the number of individuals/elements in the sample. |
c |
An integer, specifying the number of cases, i. e. the number of individuals/elements carrying the trait of interest in the sample. |
Details
The prevalence ratio is determined both by the number of indivduals/elements carrying the trait of interest and by the number of individuals/elements in the sample. The graph of a prevalence function with a fixed number of affected indivduals/elements and a variable sample size has both the x and the y axis as asymptotes. The derivative of the prevalence function yields the slope of a tangent line to this graph for a specific sample size. It has been hypothesised to serve as an indicator of the effect of sample size on the local prevalence ratio.
Value
The derivative of the prevalence function is returned as a rational number.
Examples
1 2 3 |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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