Package: squat 0.3.0

Aymeric Stamm

squat: Statistics for Quaternion Temporal Data

An implementation of statistical tools for the analysis of rotation-valued time series and functional data. It relies on pre-existing quaternion data structure provided by the 'Eigen' 'C++' library.

Authors:Lise Bellanger [aut], Pierre Drouin [aut], Aymeric Stamm [aut, cre], Benjamin Martineau [ctb]

squat_0.3.0.tar.gz
squat_0.3.0.tar.gz(r-4.5-noble)squat_0.3.0.tar.gz(r-4.4-noble)
squat_0.3.0.tgz(r-4.4-emscripten)squat_0.3.0.tgz(r-4.3-emscripten)
squat.pdf |squat.html✨
squat/json (API)
NEWS

# Install 'squat' in R:
install.packages('squat', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/lmjl-alea/squat/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:

1.70 score 5 scripts 133 downloads 27 exports 107 dependencies

Last updated 11 months agofrom:17119673bb. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 06 2024
R-4.5-linux-x86_64OKNov 06 2024

Exports:appendas_qtsas_qts_samplecentringdbscandifferentiatedistDTWhclusthemispherizeinverse_qtsis_qtsis_qts_samplekmeansmoving_averagenormalizeqts2aatsqts2atsqts2avtsqts2dtsqts2ntsreorientresamplernorm_qtsscalesmoothstraighten

Dependencies:abindaskpassbase64encbslibcachemcliclustercodacodetoolscolorspacecpp11crosstalkcurldata.tabledbscanDEoptimRdigestdoParalleldotCall64dplyrdtwevaluatefansifarverfastmapfdaclusterfdasrvffieldsfontawesomeforcatsforeachfsfunDatafurrrfuturegenericsggplot2ggrepelglobalsgluegtablehighrhtmltoolshtmlwidgetshttrirlbaisobanditeratorsjquerylibjsonliteknitrlabelinglaterlatticelazyevallifecyclelistenvlpSolvemagrittrmapsMASSMatrixmemoiseMFPCAmgcvmimemunsellmvtnormnlmenloptropensslparallellypillarpkgconfigplotlyplyrprogressrpromisesproxypurrrR6rappdirsRColorBrewerRcppRcppArmadilloRcppEigenrlangrmarkdownroahdrobustbasesassscalesspamstringistringrsystibbletidyrtidyselecttinytextoleranceutf8vctrsviridisLitewithrxfunyaml

Readme and manuals

Help Manual

Help pageTopics
Operator '-' for 'qts' Objects-.qts
Operator '*' for 'qts' Objects*.qts
Operator '+' for 'qts' Objects+.qts
QTS Sample Concatenationappend append.default append.qts_sample
Plot for 'prcomp_qts' objectsautoplot.prcomp_qts
Plot for 'qts' objectsautoplot.qts
Plot for 'qts_sample' objectsautoplot.qts_sample
Plot for 'qtsclust' objectsautoplot.qtsclust
QTS Centering and Standardizationcentring
QTS Nearest-Neighbor Clusteringdbscan dbscan.default dbscan.qts_sample
QTS Differentiationdifferentiate differentiate.qts differentiate.qts_sample
QTS Distance Matrix Computationdist dist.default dist.qts_sample
Dynamic Time Warping for Quaternion Time SeriesDTW
QTS Exponentialexp exp.qts exp.qts_sample
QTS Hierarchical Agglomerative Clusteringhclust hclust.default hclust.qts_sample
QTS Hemispherizationhemispherize hemispherize.qts hemispherize.qts_sample
Inverse Operator for 'qts' Objectsinverse_qts
QTS K-Means Alignment Algorithmkmeans kmeans.default kmeans.qts_sample
QTS Logarithmlog log.qts log.qts_sample
QTS Geometric Meanmean.qts_sample
QTS Geometric Medianmedian.qts_sample
QTS Moving Averagemoving_average moving_average.qts moving_average.qts_sample
QTS Normalizationnormalize normalize.qts normalize.qts_sample
Plot for 'prcomp_qts' objectsplot.prcomp_qts screeplot.prcomp_qts
Plot for 'qts' objectsplot.qts
Plot for 'qts_sample' objectsplot.qts_sample
Plot for 'qtsclust' objectsplot.qtsclust
PCA for QTS Sampleprcomp.qts_sample
Predict QTS from PCA decompositionpredict.prcomp_qts
QTS Classas_qts format.qts is_qts qts
QTS Sample Classas_qts_sample is_qts_sample qts_sample [.qts_sample
QTS Transformation to Angle-Axis Time Seriesqts2aats
QTS Transformation To Angle Time Seriesqts2ats
QTS Transformation to Angular Velocity Time Seriesqts2avts
QTS Transformation To Distance Time Seriesqts2dts
QTS Transformation To Norm Time Seriesqts2nts
QTS Reorientationreorient reorient.qts reorient.qts_sample
QTS Resamplingresample resample.qts resample.qts_sample
QTS Random Samplingrnorm_qts
QTS Sample Centering and Standardizationscale scale.default scale.qts_sample
QTS Smoothing via SLERP Interpolationsmooth smooth.default smooth.qts smooth.qts_sample
QTS Straighteningstraighten straighten.qts straighten.qts_sample
The VESPA datasetvespa
The VESPA64 datasetvespa64