funsExpTrun

EV.Trun

EV.Trun.alt

Two functions: <code>EV.Trun</code> and <code>EV.Trun.alt</code>.
Both functions compute the expected value of Cuzick and Edwards \(T_{run}\) test statistic based on the number of 
consecutive cases from the cases in the data under RL or CSR independence.
The number of cases are denoted as \(n_1\) (denoted as <code>n1</code> as an argument)
and number of controls as \(n_0\) for both functions (denoted as <code>n0</code> as an argument),
to match the case-control class labeling,
which is just the reverse of the labeling in cuzick:1990;textualnnspat.
The function <code>EV.Trun.alt</code> uses a loop and takes slightly longer than the function <code>EV.Trun</code>,
hence <code>EV.Trun</code> is used in other functions.
See also (cuzick:1990;textualnnspat).

Contains the functions for testing the spatial patterns (of segregation, spatial symmetry,
association, disease clustering, species correspondence, and reflexivity) based on nearest neighbor relations,
especially using contingency tables such as
nearest neighbor contingency tables (Ceyhan (2010) <doi:10.1007/s10651-008-0104-x> and
Ceyhan (2017) <doi:10.1016/j.jkss.2016.10.002> and references therein),
nearest neighbor symmetry contingency tables (Ceyhan (2014) <doi:10.1155/2014/698296>),
species correspondence contingency tables and reflexivity contingency tables (Ceyhan (2018)
<doi:10.2436/20.8080.02.72> for two (or higher) dimensional data.
The package also contains functions for generating patterns of segregation, association,
uniformity in a multi-class setting (Ceyhan (2014) <doi:10.1007/s00477-013-0824-9>),
and various non-random labeling patterns for disease clustering
in two dimensional cases (Ceyhan (2014)
<doi:10.1002/sim.6053>), and for visualization of all these patterns
for the two dimensional data.
The tests are usually (asymptotic) normal z-tests or chi-square tests.

Elvan Ceyhan

nnspat

Nearest Neighbor Methods for Spatial Patterns

funsExpTrun function

<dl><dt>n1, n0</dt>
<dd>The number of cases and controls used as arguments for both functions.</dd></dl>

Arguments

Author

Expected Value for Cuzick and Edwards \(T_{run}\) Test statistic — funsExpTrun

<dl>

<dt>n1, n0</dt>
<dd>The number of cases and controls used as arguments for both functions.</dd>

</dl>

funsExpTrun: Expected Value for Cuzick and Edwards \(T_{run}\) Test statistic

Description

Usage

Value

Arguments

Author

References

See Also

Examples