fit_variance_law

This function fits the Fairfield-Smith variance law, computes weighted R^2 on
the log-log scale, identifies the optimum plot size and recommended shape,
and produces two ggplot2 visualisations (original and log scale).

Provides methods for determining optimum plot size and shape in field
experiments using Fairfield-Smith's variance law approach. It will evaluate
field variability, determine optimum plot size and shape and study fertility
trends across the field.

Yogesh Garde

optsize

Optimal Plot Size Estimation for Field Experiments

Y.A. Garde

S.G. Patil

M.S. Shitap

fit_variance_law function

<dl><dt>df_mat</dt>
<dd>numeric matrix of data</dd>
<dt>plot_curve</dt>
<dd>logical, if TRUE returns ggplot objects</dd></dl>

Arguments

Fit Fairfield-Smith's variance law to matrix data with ggplot2 plots — fit_variance_law

<dl>

<dt>df_mat</dt>
<dd>numeric matrix of data</dd>


<dt>plot_curve</dt>
<dd>logical, if TRUE returns ggplot objects</dd>

</dl>

fit_variance_law: Fit Fairfield-Smith's variance law to matrix data with ggplot2 plots

Description

Usage

Value

Arguments