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>.
Last updated
11.69 score 91 stars 14 dependents 3.1k scripts 8.3k 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.
Last updated
data
11.50 score 147 stars 1 dependents 3.5k scripts 2.4k 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>.
Last updated
10.75 score 18 stars 1 dependents 1.6k scripts 4.0k 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>.
Last updated
8.86 score 22 stars 5 dependents 153 scripts 2.4k 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>.
Last updated
7.36 score 7 stars 5 dependents 63 scripts 1.7k 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.
Last updated
5.85 score 25 stars 22 scripts 2.6k 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>.
Last updated
5.80 score 5 stars 125 scripts 482 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>.
Last updated
5.76 score 5 stars 1 dependents 77 scripts 558 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>.
Last updated
4.00 score 1 stars 8 scripts 263 downloadsclustertend - 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>.
Last updated
3.88 score 153 scripts 520 downloadspagenum - Put Page Numbers on Graphics
A simple way to add page numbers to base/ggplot/lattice graphics.
Last updated
3.88 score 15 scripts 291 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>.
Last updated
3.70 score 1 stars 7 scripts 267 downloadsrseedcalc - 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.
Last updated
1.00 score 1 scripts 153 downloads