Estimate Aerosol Particle Collection Through Sample Lines

Estimate ideal efficiencies of aerosol sampling through sample lines. Functions were developed consistent with the approach described in Hogue, Mark; Thompson, Martha; Farfan, Eduardo; Hadlock, Dennis, (2014), "Hand Calculations for Transport of Radioactive Aerosols through Sampling Systems" Health Phys 106, 5, S78-S87, .

Interface with Google BigQuery with Shiny Compatibility

Interface with 'Google BigQuery', see < https://cloud.google.com/bigquery/> for more information. This package uses 'googleAuthR' so is compatible with similar packages, including 'Google Cloud Storage' (< https://cloud.google.com/storage/>) for result extracts.

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.

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.

Characterise Transitions in Test Result Status in Longitudinal Studies

Analyse data from longitudinal studies to characterise changes in values of semi-quantitative outcome variables within individual subjects, using high performance C++ code to enable rapid processing of large datasets. A flexible methodology is available for codifying these state transitions.

Managing Larger Data on a GitHub Repository

Because larger (> 50 MB) data files cannot easily be committed to git, a different approach is required to manage data associated with an analysis in a GitHub repository. This package provides a simple work-around by allowing larger (up to 2 GB) data files to piggyback on a repository as assets attached to individual GitHub releases. These files are not handled by git in any way, but instead are uploaded, downloaded, or edited directly by calls through the GitHub API. These data files can be versioned manually by creating different releases. This approach works equally well with public or private repositories. Data can be uploaded and downloaded programmatically from scripts. No authentication is required to download data from public repositories.

Automatic Database Normalisation for Data Frames

Automatic normalisation of a data frame to third normal form, with the intention of easing the process of data cleaning. (Usage to design your actual database for you is not advised.) Originally inspired by the 'AutoNormalize' library for 'Python' by 'Alteryx' (< https://github.com/alteryx/autonormalize>), with various changes and improvements. Automatic discovery of functional or approximate dependencies, normalisation based on those, and plotting of the resulting "database" via 'Graphviz', with options to exclude some attributes at discovery time, or remove discovered dependencies at normalisation time.

Functions to Streamline Statistical Analysis and Reporting

Built upon popular R packages such as 'ggstatsplot' and 'ARTool', this collection offers a wide array of tools for simplifying reproducible analyses, generating high-quality visualizations, and producing 'APA'-compliant outputs. The primary goal of this package is to significantly reduce repetitive coding efforts, allowing you to focus on interpreting results. Whether you're dealing with ANOVA assumptions, reporting effect sizes, or creating publication-ready visualizations, this package makes these tasks easier.

Calculate ANSI/ASA S3.5-1997 (R2024) Speech Intelligibility Index

Calculates the American National Standards Institute (ANSI) S3.5-1997 Speech Intelligibility Index (SII) (ANSI, 1997), a standard method for computing the intelligibility of speech from acoustical measurements of speech, noise, and hearing thresholds. This package includes data frames corresponding to Tables 1 - 4 in the ANSI standard as well as functions utilizing these tables and user-provided hearing threshold and noise level measurements to compute the SII score. The methods implemented here extend the standard computations to allow calculation of SII when the measured frequencies do not match those required by the standard by applying interpolation. The package also includes a native C++ implementation of the 'AUDMOD' specific loudness model for impaired hearing (Bramslow, 2004), ported from the 'bramslow2004' implementation in the Auditory Modeling Toolbox (AMT), to calculate loudness in sones. It provides methods to predict aided SII under hearing aid prescriptive rationales, including Open-NL (Open Non-Linear), a theoretical optimization framework that uses a Nelder-Mead simplex search to maximize the SII (by default with the Johnson and Dillon (2011) desensitization correction), subject to loudness penalties and simulated Maximum Power Output (MPO) constraints. Further functions calculate real-ear insertion gains, estimate maximum power output (SSPL90), and prescribe dynamic range compression. Open-NL and the prescription functions are research tools for theoretical modeling and simulation; they have not been clinically validated and are not intended for fitting hearing aids to patients. Development of this package was originally funded by the Center for Bioscience Education and Technology (CBET) of the Rochester Institute of Technology (RIT).