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:
tempR_0.10.1.1.tar.gz
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tempR_0.10.1.1.tgz(r-4.4-any)tempR_0.10.1.1.tgz(r-4.3-any)
tempR_0.10.1.1.tar.gz(r-4.5-noble)tempR_0.10.1.1.tar.gz(r-4.4-noble)
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tempR.pdf |tempR.html✨
tempR/json (API)
| # Install 'tempR' in R: |
| install.packages('tempR', repos = c('https://jcc9.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 7 months agofrom:ce85dbfbce. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 31 2024 |
| R-4.5-win | OK | Oct 31 2024 |
| R-4.5-linux | OK | Oct 31 2024 |
| R-4.4-win | OK | Oct 31 2024 |
| R-4.4-mac | OK | Oct 31 2024 |
| R-4.3-win | OK | Oct 31 2024 |
| R-4.3-mac | OK | Oct 31 2024 |
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:
