optsize (version 0.1.0)

Optimal Plot Size Estimation for Field Experiments

Description

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.

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Version

Install

install.packages('optsize')

Monthly Downloads

121

Version

0.1.0

License

GPL (>= 3)

Maintainer

Yogesh Garde

Last Published

October 6th, 2025

Functions in optsize (0.1.0)

ferti_analysis

Fertility Classes heatmap with 3 * 3 moving average values ---

fit_variance_law

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

compute_moving_avg

Compute 3x3 moving averages

population_variance

Compute population variance for given h x w plot

make_vertical

Make a vertical vector from a matrix

serial_corrl

computes the first-order serial correlation for both directions.

serial_corr

Compute first-order serial correlation of a vector

generate_plot_shapes

Generate valid plot sizes and shapes

get_Tvals

Compute T values (sum of block totals) for a given h x w plot

make_horizontal

Make a horizontal vector from a matrix