bincounterR

This function discretizes continuous data in two dimensions

internal

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

bincounterR function

<dl><dt>x</dt>
<dd>a matrix of numbers or a list</dd>
<dt>y</dt>
<dd>a matrix of numbers</dd>
<dt>nbins</dt>
<dd>=c(5,5) number of bins in x and in y direction</dd>
<dt>Ranges</dt>
<dd>=matrix(c(-Inf, Inf, -Inf, Inf),2,2) a 2x2 matrix with lower and upper bounds</dd></dl>

Arguments

Count Events in Bins — bincounterR

<dl>

<dt>x</dt>
<dd>a matrix of numbers or a list</dd>


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


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


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

</dl>

bincounterR: Count Events in Bins

Description

Usage

Value

Arguments