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Process GPX Files into R Data Structures
Process open standard GPX files into data.frames for further use and analysis in R.
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.
Download Data from the NISRA Data Portal
Download data from the Northern Ireland Statistics and Research Agency (NISRA) data portal, accessed at < https://data.nisra.gov.uk>. NISRA is a government agency and the principal source of official statistics and social research on Northern Ireland.
General Purpose 'GraphQL' Client
A 'GraphQL' client, with an R6 interface for initializing a connection to a 'GraphQL' instance, and methods for constructing queries, including fragments and parameterized queries. Queries are checked with the 'libgraphqlparser' C++ parser via the 'graphql' package.
General utilities, workspace organization, code and doc editing, live package maintenance, etc
Hierarchical workspace tree, code editing and backup, easy package prep, editing of packages while loaded, per-object lazy-loading, easy documentation, macro functions, and miscellaneous utilities. Needed by various packages including debug, offarray, and kinference.
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,
Distances on Directed Graphs
Distances on dual-weighted directed graphs using
priority-queue shortest paths (Padgham (2019)
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.
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.