Temporal Sensory Data Analysis

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Documentation for package ‘tempR’ version 0.9.9.23

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tempR-package tempR
adjust.brightness Adjust color brightness
bars TDS data set: snack bars
bootstrap.band Get bootstrap confidence bands for attribute selections
citation.counts Counts TCATA Citations and Observations for a Product and a Comparison Set
convert.tcata Convert TCATA data
convert.tcategory Convert Temporal Category data
count.selections Count attribute selections
dist.city.block Calculate city block distance between two matrices
draw.hcross Draw h-cross, range box, and box to enclose h-box
fill.gaps Fills gaps
get.chance TDS chance proportion
get.decluttered Get decluttering matrix indicating where to show/hide reference lines
get.differences Get vector of difference in dominance rates
get.dominance.rates Get TDS dominance rates
get.mat.diff.sign Pairwise comparisons
get.significance TDS significance proportion
get.significance.diff Get least significant differences for pairwise comparisons
get.smooth Convenience function for curve smoothing
get.times Get times
lengthwhichis.na Count observations with missing data
make.palettes Convenience function for getting a pretty palette and highlight colours
ojtcata TCATA data set: orange juice
ojtds TDS data set: orange juice
plot_pca.trajectories Plot trajectories based on Temporal Check-All-That-Apply (TCATA) data
pretty_palette Get a pretty palette of colours
similarity.tcata.repeatability Quantify TCATA assessor repeatability
similarity.tcata.replication Quantify TCATA assessor replication
std.time Time standardize results
syrah TCATA data set: Syrah wines
tcata.diff.plot TCATA difference plot
tcata.line.plot Temporal Check-All-That-Apply (TCATA) curve
tds.diff.plot Plot TDS difference curves
tds.plot Plot TDS curves
tempR tempR