50% off | Unlimited Data & AI Learning

Last chance! 50% off unlimited learning

Sale ends in

Learn R Programming

tempR (version 0.10.1.1)

Temporal Sensory Data Analysis

Description

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) , Castura, Baker, and Ross (2016) , and Pineau et al. (2009) .

Copy Link

Version

Install

install.packages('tempR')

Monthly Downloads

272

Version

0.10.1.1

License

GPL (>= 2)

Maintainer

J C Castura

Last Published

May 7th, 2024

Functions in tempR (0.10.1.1)

get.mat.diff.sign

Pairwise comparisons
make.palettes

Convenience function for getting a pretty palette and highlight colours
TCATA data set: orange juice

TCATA data set: orange juice
get.significance

TDS significance proportion
tcata.line.plot

Temporal Check-All-That-Apply (TCATA) curve
TDS data set: orange juice

TDS data set: orange juice
plot_pca.trajectories

Plot trajectories based on Temporal Check-All-That-Apply (TCATA) data
similarity.tcata.repeatability

Quantify TCATA assessor repeatability
pretty_palette

Get a pretty palette of colours
lengthwhichis.na

Count observations with missing data
std.time

Time standardize results
tempR

tempR
similarity.tcata.replication

Quantify TCATA assessor replication
tds.plot

Plot TDS curves
tds.diff.plot

Plot TDS difference curves
TCATA data set: Syrah wines

TCATA data set: Syrah wines
tcata.diff.plot

TCATA difference plot
adjust.brightness

Adjust color brightness
convert.tcategory

Convert Temporal Category data
convert.tcata

Convert TCATA data
count.selections

Count attribute selections
citation.counts

Counts TCATA Citations and Observations for a Product and a Comparison Set
dist.city.block

Calculate city block distance between two matrices
bootstrap.band

Get bootstrap confidence bands for attribute selections
get.chance

TDS chance proportion
fill.gaps

Fills gaps
draw.hcross

Draw h-cross, range box, and box to enclose h-box
get.significance.diff

Get least significant differences for pairwise comparisons
TDS data set: snack bars

TDS data set: snack bars
get.smooth

Convenience function for curve smoothing
get.decluttered

Get decluttering matrix indicating where to show/hide reference lines
get.dominance.rates

Get TDS dominance rates
get.differences

Get vector of difference in dominance rates
get.times

Get times