pals - Color Palettes, Colormaps, and Tools to Evaluate Them

A comprehensive collection of color palettes, colormaps, and tools to evaluate them. See Kovesi (2015) <doi:10.48550/arXiv.1509.03700>.

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11.64 score 89 stars 11 dependents 3.3k scripts 8.9k downloads

agridat - Agricultural Datasets

Datasets from books, papers, and websites related to agriculture. Example graphics and analyses are included. Data come from small-plot trials, multi-environment trials, uniformity trials, yield monitors, and more.

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data

11.63 score 144 stars 1 dependents 3.1k scripts 4.5k downloads

corrgram - Plot a Correlogram

Calculates correlation of variables and displays the results graphically. Included panel functions can display points, shading, ellipses, and correlation values with confidence intervals. See Friendly (2002) <doi:10.1198/000313002533>.

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10.90 score 18 stars 1 dependents 1.4k scripts 6.6k downloads

desplot - Plotting Field Plans for Agricultural Experiments

A function for plotting maps of agricultural field experiments that are laid out in grids. See Ryder (1981) <doi:10.1017/S0014479700011601>.

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8.67 score 22 stars 3 dependents 143 scripts 4.2k downloads

nipals - Principal Components Analysis using NIPALS or Weighted EMPCA, with Gram-Schmidt Orthogonalization

Principal Components Analysis of a matrix using Non-linear Iterative Partial Least Squares or weighted Expectation Maximization PCA with Gram-Schmidt orthogonalization of the scores and loadings. Optimized for speed. See Andrecut (2009) <doi:10.1089/cmb.2008.0221>.

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7.73 score 7 stars 5 dependents 60 scripts 4.2k downloads

lucid - Printing Floating Point Numbers in a Human-Friendly Format

Print vectors (and data frames) of floating point numbers using a non-scientific format optimized for human readers. Vectors of numbers are rounded using significant digits, aligned at the decimal point, and all zeros trailing the decimal point are dropped. See: Wright (2016). Lucid: An R Package for Pretty-Printing Floating Point Numbers. In JSM Proceedings, Statistical Computing Section. Alexandria, VA: American Statistical Association. 2270-2279.

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6.14 score 25 stars 21 scripts 5.2k downloads

gge - Genotype Plus Genotype-by-Environment Biplots

Create biplots for GGE (genotype plus genotype-by-environment) and GGB (genotype plus genotype-by-block-of-environments) models. See Laffont et al. (2013) <doi:10.2135/cropsci2013.03.0178>.

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5.84 score 7 stars 21 scripts 4.7k downloads

hopkins - Calculate Hopkins Statistic for Clustering

Calculate Hopkins statistic to assess the clusterability of data. See Wright (2023) <doi:10.32614/RJ-2022-055>.

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5.75 score 5 stars 112 scripts 481 downloads

lookup - Functions Similar to VLOOKUP in Excel

Simple functions to lookup items in key-value pairs. See Mehta (2021) <doi:10.1007/978-1-4842-6613-7_6>.

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5.74 score 5 stars 1 dependents 74 scripts 596 downloads

connected - Visualize and Improve Connectedness of Factors in Tables

Visualize the connectedness of factors in two-way tables. Perform two-way filtering to improve the degree of connectedness. See Weeks & Williams (1964) <doi:10.1080/00401706.1964.10490188>.

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4.00 score 1 stars 8 scripts 211 downloads

clustertend - Check the Clustering Tendency

Calculate some statistics aiming to help analyzing the clustering tendency of given data. In the first version, Hopkins statistic is implemented. See Hopkins and Skellam (1954) <doi:10.1093/oxfordjournals.aob.a083391>.

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3.90 score 158 scripts 583 downloads

pagenum - Put Page Numbers on Graphics

A simple way to add page numbers to base/ggplot/lattice graphics.

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3.74 score 11 scripts 165 downloads

mountainplot - Mountain Plots, Folded Empirical Cumulative Distribution Plots

Lattice functions for drawing folded empirical cumulative distribution plots, or mountain plots. A mountain plot is similar to an empirical CDF plot, except that the curve increases from 0 to 0.5, then decreases from 0.5 to 1 using an inverted scale at the right side. See Monti (1995) <doi:10.1080/00031305.1995.10476179>.

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3.70 score 1 stars 5 scripts 154 downloads

rseedcalc - Estimating the Proportion of Genetically Modified Seeds in Seedlots via Multinomial Group Testing

Estimate the percentage of seeds in a seedlot that contain stacks of genetically modified traits. Estimates are calculated using a multinomial group testing model with maximum likelihood estimation of the parameters.

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1.00 score 1 scripts 156 downloads