Package: tempR 0.10.1.1

tempR: Temporal Sensory Data Analysis

Analysis and visualization of data from temporal sensory methods, including for temporal check-all-that-apply (TCATA) and temporal dominance of sensations (TDS). Methods are mainly from manuscripts by Castura, J.C., Antúnez, L., Giménez, A., and Ares, G. (2016) <doi:10.1016/j.foodqual.2015.06.017>, Castura, Baker, and Ross (2016) <doi:10.1016/j.foodqual.2016.06.011>, and Pineau et al. (2009) <doi:10.1016/j.foodqual.2009.04.005>.

Authors:J.C. Castura [aut, cre, ctb]

tempR_0.10.1.1.tar.gz
tempR_0.10.1.1.zip(r-4.7)tempR_0.10.1.1.zip(r-4.6)tempR_0.10.1.1.zip(r-4.5)
tempR_0.10.1.1.tgz(r-4.6-any)tempR_0.10.1.1.tgz(r-4.5-any)
tempR_0.10.1.1.tar.gz(r-4.7-any)tempR_0.10.1.1.tar.gz(r-4.6-any)
tempR_0.10.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
tempR/json (API)

# Install 'tempR' in R:
install.packages('tempR', repos = c('https://jcc9.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • bars - TDS data set: snack bars
  • ojtcata - TCATA data set: orange juice
  • ojtds - TDS data set: orange juice
  • syrah - TCATA data set: Syrah wines

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.17 score 1 stars 37 scripts 315 downloads 4 mentions 28 exports 0 dependencies

Last updated from:ce85dbfbce. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK147
source / vignettesOK159
linux-release-x86_64OK130
macos-release-arm64OK131
macos-oldrel-arm64OK144
windows-develOK70
windows-releaseOK70
windows-oldrelOK75
wasm-releaseOK98

Exports:adjust.brightnessbootstrap.bandcitation.countsconvert.tcataconvert.tcategorycount.selectionsdist.city.blockfill.gapsget.chanceget.declutteredget.differencesget.dominance.ratesget.mat.diff.signget.significanceget.significance.diffget.smoothget.timeslengthwhichis.namake.palettesplot_pca.trajectoriespretty_palettesimilarity.tcata.repeatabilitysimilarity.tcata.replicationstd.timetcata.diff.plottcata.line.plottds.diff.plottds.plot

Dependencies:

Readme and manuals

Help Manual

Help pageTopics
Adjust color brightnessadjust.brightness
Get bootstrap confidence bands for attribute selectionsbootstrap.band
Counts TCATA Citations and Observations for a Product and a Comparison Setcitation.counts
Convert TCATA dataconvert.tcata
Convert Temporal Category dataconvert.tcategory
Count attribute selectionscount.selections
Calculate city block distance between two matricesdist.city.block
Draw h-cross, range box, and box to enclose h-boxdraw.hcross
Fills gapsfill.gaps
TDS chance proportionget.chance
Get decluttering matrix indicating where to show/hide reference linesget.decluttered
Get vector of difference in dominance ratesget.differences
Get TDS dominance ratesget.dominance.rates
Pairwise comparisonsget.mat.diff.sign
TDS significance proportionget.significance
Get least significant differences for pairwise comparisonsget.significance.diff
Convenience function for curve smoothingget.smooth
Get timesget.times
Count observations with missing datalengthwhichis.na
Convenience function for getting a pretty palette and highlight coloursmake.palettes
Plot trajectories based on Temporal Check-All-That-Apply (TCATA) dataplot_pca.trajectories
Get a pretty palette of colourspretty_palette
Quantify TCATA assessor repeatabilitysimilarity.tcata.repeatability
Quantify TCATA assessor replicationsimilarity.tcata.replication
Time standardize resultsstd.time
TCATA data set: orange juiceojtcata
TCATA data set: Syrah winessyrah
TCATA difference plottcata.diff.plot
Temporal Check-All-That-Apply (TCATA) curvetcata.line.plot
TDS data set: orange juiceojtds
TDS data set: snack barsbars
Plot TDS difference curvestds.diff.plot
Plot TDS curvestds.plot
tempRtempR-package tempR