chisq2D_test_cont

This function does the chi square two sample test for continuous data in two dimensions

The routine twosample_test() in this package runs the
two-sample test using various test statistic for multivariate data.
The user can also run several tests and then find a p value adjusted for simultaneous inference.
The p values are found via permutation or via the parametric bootstrap.
The routine twosample_power() allows the estimation of the power of the tests.
The routine run.studies() allows a user to quickly study the power of a new method and
how it compares to those included in the package.
For details of the methods and references see the included vignettes.

Wolfgang Rolke

MD2sample

Various Methods for the Two Sample Problem in D>1 Dimensions

chisq2D_test_cont function

<dl><dt>dta_x</dt>
<dd>a matrix of numbers</dd>
<dt>dta_y</dt>
<dd>a matrix of numbers</dd>
<dt>Ranges</dt>
<dd>=matrix(c(-Inf, Inf, -Inf, Inf),2,2) a 2x2 matrix with lower and upper bounds</dd>
<dt>nbins</dt>
<dd>=c(5,5) number of bins in x and y direction</dd>
<dt>minexpcount</dt>
<dd>=5 minimum counts required per bin</dd></dl>

Arguments

This function does the chi square two sample test for continuous data in two dimensions — chisq2D_test_cont

<dl>

<dt>dta_x</dt>
<dd>a matrix of numbers</dd>


<dt>dta_y</dt>
<dd>a matrix of numbers</dd>


<dt>Ranges</dt>
<dd>=matrix(c(-Inf, Inf, -Inf, Inf),2,2) a 2x2 matrix with lower and upper bounds</dd>


<dt>nbins</dt>
<dd>=c(5,5) number of bins in x and y direction</dd>


<dt>minexpcount</dt>
<dd>=5 minimum counts required per bin</dd>

</dl>

chisq2D_test_cont: This function does the chi square two sample test for continuous data in two dimensions

Description

Usage

Value

Arguments