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A Simulation Tool to Determine the Required Sample Size for Repertory Grid Studies
Simulation tool to facilitate determination of required sample size to achieve category saturation for studies using multiple repertory grids in conjunction with content analysis.
Functions and Utilities for Jordan
Provides core functions and utilities for packages and other code developed by Jordan Mark Barbone.
Mark-Recapture Distance Sampling
Animal abundance estimation via conventional, multiple covariate and mark-recapture distance sampling (CDS/MCDS/MRDS). Detection function fitting is performed via maximum likelihood. Also included are diagnostics and plotting for fitted detection functions. Abundance estimation is via a Horvitz-Thompson-like estimator.
Generate New Multivariate Normal Samples from Permutations
Given a vector of multivariate normal data, a matrix of covariates and the data covariance matrix, generate new multivariate normal samples that have the same covariance matrix based on permutations of the transformed data residuals.
Companion to the Forthcoming Book - R you Ready?
Package contains some data and functions that are used in my forthcoming "R you ready?" book.
Process GPX Files into R Data Structures
Process open standard GPX files into data.frames for further use and analysis in R.
Core Methods and Classes Used by 'aroma.*' Packages Part of the Aroma Framework
Core methods and classes used by higher-level 'aroma.*' packages part of the Aroma Project, e.g. 'aroma.affymetrix' and 'aroma.cn'.
Calibration of Scatterplot and Biplot Axes
Package for drawing calibrated scales with tick marks on (non-orthogonal) variable vectors in scatterplots and biplots. Also provides some functions for biplot creation and for multivariate analysis such as principal coordinate analysis.
Export R Objects to Several Markup Languages
Coerce R object to 'asciidoc', 'txt2tags', 'restructuredText', 'org', 'textile' or 'pandoc' syntax. Package comes with a set of drivers for 'Sweave'.
Computation of the Orbit-Aware Quad Census
Implements the efficient algorithm by Ortmann and Brandes (2017)