burnRate

The <code>burnRate</code> data frame contains laboratory data on the
proportion of remaining fuel in a piece of wood that has burned
for a fixed period of time subjected to a fixed windspeed.

datasets

Functions and data sets inspired by data sharpening -
data perturbation to achieve improved performance in
nonparametric estimation, as described in Choi, E., Hall, P.
and Rousson, V. (2000).
Capabilities for enhanced local linear regression function
and derivative estimation are included, as well as an
asymptotically correct iterated data sharpening estimator
for any degree of local polynomial regression estimation.
A cross-validation-based bandwidth selector is included which,
in concert with the iterated sharpener, will often provide
superior performance, according to a median integrated squared
error criterion.  Sample data sets are provided to illustrate
function usage.

W.J. Braun

sharpData

Data Sharpening

burnRate function

This data frame contains the following columns:<dl class="dl-horizontal">
 <dt>proportionBurned</dt><dd>a numeric vector</dd>
 <dt>densityRatio</dt><dd>ratio of windspeed, multiplied by density of air,
 to density of firebrand</dd>
 <dt>species</dt><dd>factor listing tree species</dd>
 <dt>diameter</dt><dd>numeric vector of diameter of burned particle in cm</dd>
 <dt>windspeed</dt><dd>windspeed in cm per second</dd>
 <dt>testTime</dt><dd>length of test in seconds</dd>
 </dl>

Format

Firebrand Burning Properties — burnRate

This data frame contains the following columns:<dl class='dl-horizontal'>
 <dt>proportionBurned</dt><dd>a numeric vector</dd>
 <dt>densityRatio</dt><dd>ratio of windspeed, multiplied by density of air,
 to density of firebrand</dd>
 <dt>species</dt><dd>factor listing tree species</dd>
 <dt>diameter</dt><dd>numeric vector of diameter of burned particle in cm</dd>
 <dt>windspeed</dt><dd>windspeed in cm per second</dd>
 <dt>testTime</dt><dd>length of test in seconds</dd>
 </dl>

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burnRate: Firebrand Burning Properties

Description

Usage

Arguments

Format