ojtds

Raw results from 20-s TDS evaluations of six orange juice samples by 50 consumers.

 datasets

 TDS 

TDS data set: orange juice

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>.

J C Castura

tempR

Temporal Sensory Data Analysis

J.C. Castura

TDS data set: orange juice function

A data frame with 1800 rows (50 consumers * 6 samples * 6 attributes) and 25 columns (4 headers + 21 time slices)<ul>
<li>[, 1] cons (int) consumer id</li>
<li>[, 2] samp (chr) sample id</li>
<li>[, 3] samp_pos (int) position of sample in serving order</li>
<li>[, 4] attribute (chr) sensory attribute</li>
<li>[, 5:25] time_<code>99</code>s (int) value is <code>1</code> if attribute is selected at time slice; otherwise value is <code>0</code></li>
</ul>

TDS data set: orange juice: TDS data set: orange juice

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