rlang, stringr, tidyselect, scales, generics, magrittr,
tibble, tidyr, dplyr, purrr, labeling, ggrepel,
'aaa-.r' 'biplot-key.r' 'biplot.r' 'data.r' 'dplyr-verbs.r'
'utils.r' 'ord-recoverers.r' 'ord-augmentation.r'
'ord-conference.r' 'ord-tbl.r' 'fun-lda.r' 'fun-lra.r'
'fun-wrap.r' 'geom-axis.r' 'geom-intervals.r' 'geom-isoline.r'
'geom-origin.r' 'geom-text-radiate.r' 'geom-unit-circle.r'
'geom-utils.r' 'geom-vector.r' 'methods-base-eigen.r'
'methods-base-svd.r' 'methods-mass-correspondence.r'
'methods-mass-lda.r' 'methods-mass-mca.r' 'methods-ordr-lra.r'
'methods-stats-cancor.r' 'methods-stats-cmds.r'
'methods-stats-factanal.r' 'methods-stats-kmeans.r'
'methods-stats-lm.r' 'methods-stats-prcomp.r'
'methods-stats-princomp.r' 'ord-annotation.r' 'ord-format.r'
'ord-negation.r' 'ord-plot.r' 'ord-supplementation.r'
'ord-tidiers.r' 'ordinate.r' 'ordr.r' 'stat-center.r'
'stat-chull.r' 'stat-cone.r' 'stat-matrix.r' 'stat-scale.r'
'stat-spantree.r' 'themes.r' 'zzz-biplot-geoms.r'
'zzz-biplot-stats.r' 'zzz.r'

An R Interface to the Oniguruma Regular Expression Library
Jon Clayden, based on Onigmo by K. Kosako and K. Takata
Provides an alternative to R's built-in functionality for handling
regular expressions, based on the Oniguruma library. It offers first-class
compiled regex objects, partial matching and function-based substitutions,
amongst other features.

workspace.R dict.R ore.R match.R es.R zzz.R

Provides an alternative to R's built-in functionality for handling
regular expressions, based on the Oniguruma library. Offers first-class
compiled regex objects, partial matching and function-based substitutions,
amongst other features.

workspace.R file.R dict.R ore.R match.R es.R zzz.R

An R Interface to the Onigmo Regular Expression Library
Provides an alternative to R's built-in functionality for handling
regular expressions, based on the Onigmo library. Offers first-class
compiled regex objects, partial matching and function-based substitutions,
amongst other features.

Large Amplitude Oscillatory Shear (LAOS)
c(person("Serena", "Berretta", role = c("aut","cre") , email = "serena.berretta@ge.imati.cnr.it") , person("Giorgio", "Luciano", role="aut"), person("Kristian Hovde", "Liland", role= "ctb"), person("Simon" , "Rogers", role="ctb"))
The Sequence of Physical Processes (SPP) framework is a way of interpreting the transient data derived from oscillatory rheological tests. It is designed to allow both the linear and non-linear deformation regimes to be understood within a single unified framework. This code provides a convenient way to determine the SPP framework metrics for a given sample of oscillatory data. It will produce a text file containing the SPP metrics, which the user can then plot using their software of choice. It can also produce a second text file with additional derived data (components of tangent, normal, and binormal vectors), as well as pre-plotted figures if so desired. It is the R version of the Package SPP by Simon Rogers Group for Soft Matter (Simon A. Rogers, Brian M. Erwin, Dimitris Vlassopoulos, Michel Cloitre (2011) <doi:10.1122/1.3544591>).
Serena Berretta [aut, cre],
Giorgio Luciano [aut],
Kristian Hovde Liland [ctb],
Simon Rogers [ctb]