count_subareas_random

Randomly samples submatrices (quadrats) of specified size from a binary matrix,
and returns the positions, submatrices, and count of 1s in each sampled quadrat.

Datasets and utility functions to support the book
"R for Plant Disease Epidemiology" (R4PDE). It includes functions for quantifying disease,
assessing spatial patterns, and modeling plant disease epidemics based on weather predictors.
These tools are intended for teaching and research in plant disease epidemiology. Several functions
are based on classical and contemporary methods, including those discussed in Laurence V. Madden,
Gareth Hughes, and Frank van den Bosch (2007) <doi:10.1094/9780890545058>.

Emerson M. Del Ponte

r4pde

Companion to R for Plant Disease Epidemiology Book

Emerson Del Ponte

count_subareas_random function

<dl><dt>matrix_data</dt>
<dd>A binary matrix of 0s and 1s.</dd>
<dt>sub_rows</dt>
<dd>Number of rows in each subgrid sample.</dd>
<dt>sub_cols</dt>
<dd>Number of columns in each subgrid sample.</dd>
<dt>n_samples</dt>
<dd>Number of subgrid samples to draw.</dd></dl>

Arguments

Random Subgrid Sampling of a Binary Matrix — count_subareas_random

<dl>

<dt>matrix_data</dt>
<dd>A binary matrix of 0s and 1s.</dd>


<dt>sub_rows</dt>
<dd>Number of rows in each subgrid sample.</dd>


<dt>sub_cols</dt>
<dd>Number of columns in each subgrid sample.</dd>


<dt>n_samples</dt>
<dd>Number of subgrid samples to draw.</dd>

</dl>

count_subareas_random: Random Subgrid Sampling of a Binary Matrix

Description

Usage

Value

Arguments

See Also