bin_dist

Data X is binned into X.bin bins in x-direction and Y.bins in y-direction. The number
of points in each cell is then counted. Same is done for data PX. An euclidean
distance is calculated between the number of points in each cell between X and PX.

Tools for visual inference. Generate null data sets
and null plots using permutation and simulation. Calculate distance metrics
for a lineup, and examine the distributions of metrics.

Di Cook

nullabor

Tools for Graphical Inference

Hadley Wickham

Niladri Roy Chowdhury

Heike Hofmann

bin_dist function

<dl><dt>X</dt>
<dd>a data.frame with two variables, the first two columns
are used</dd>
<dt>PX</dt>
<dd>another data.frame with two variables, the first two columns
are used</dd>
<dt>lineup.dat</dt>
<dd>lineup data so that the binning is done based on the lineup data and not
the individual plots, by default lineup.dat = lineup.dat ; if one wishes to calculate the
binned distance between two plots, one should use lineup.dat = NULL</dd>
<dt>X.bin</dt>
<dd>number of bins on the x-direction, by default X.bin = 5</dd>
<dt>Y.bin</dt>
<dd>number of bins on the y-direction, by default Y.bin = 5</dd></dl>

Arguments

Binned Distance — bin_dist

<dl>

<dt>X</dt>
<dd>a data.frame with two variables, the first two columns
are used</dd>


<dt>PX</dt>
<dd>another data.frame with two variables, the first two columns
are used</dd>


<dt>lineup.dat</dt>
<dd>lineup data so that the binning is done based on the lineup data and not
the individual plots, by default lineup.dat = lineup.dat ; if one wishes to calculate the
binned distance between two plots, one should use lineup.dat = NULL</dd>


<dt>X.bin</dt>
<dd>number of bins on the x-direction, by default X.bin = 5</dd>


<dt>Y.bin</dt>
<dd>number of bins on the y-direction, by default Y.bin = 5</dd>

</dl>

bin_dist: Binned Distance

Description

Usage

Value

Arguments

Examples