Package: optsize 0.1.0

Y.A. Garde
optsize: Optimal Plot Size Estimation for Field Experiments
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.
Authors:
optsize_0.1.0.tar.gz
optsize_0.1.0.tar.gz(r-4.7-any)optsize_0.1.0.tar.gz(r-4.6-any)
optsize_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
optsize/json (API)
| # Install 'optsize' in R: |
| install.packages('optsize', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:f6f9aa5ae8. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 145 | ||
| source / vignettes | OK | 181 | ||
| linux-release-x86_64 | OK | 152 | ||
| wasm-release | OK | 111 |
Exports:compute_moving_avgferti_analysisfit_variance_lawgenerate_plot_shapesget_Tvalsmake_horizontalmake_verticalpopulation_varianceserial_corrserial_corrl
Dependencies:clicpp11farverggplot2gluegtableisobandlabelinglifecycleR6RColorBrewerrlangS7scalesvctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Compute 3x3 moving averages | compute_moving_avg |
| Fertility Classes heatmap with 3 * 3 moving average values - | ferti_analysis |
| Fit Fairfield-Smith's variance law to matrix data with ggplot2 plots | fit_variance_law |
| Generate valid plot sizes and shapes | generate_plot_shapes |
| Compute T values (sum of block totals) for a given h x w plot | get_Tvals |
| Make a horizontal vector from a matrix | make_horizontal |
| Make a vertical vector from a matrix | make_vertical |
| Compute population variance for given h x w plot | population_variance |
| Compute first-order serial correlation of a vector | serial_corr |
| computes the first-order serial correlation for both directions. | serial_corrl |