Description Usage Arguments Details Value References Examples

Quantify TCATA assessor repeatability using city block distance

1 |

`X` |
list of matrices, where each matrix is a TCATA data (given as an indicator matrix) for assessor of interest for one rep |

Similarity between repeated evaluations given by a TCATA assessor is quantified. The repeatability index can take on values between `0`

and `1`

, which indicate complete dissimilarity (non-repeatability) and complete similarity (repeatability), respectively.

repeatability.index average city block distance between matrices from replicated evaluations

Castura, J. C., Antúnez, L., Giménez, A., Ares, G. (2016). Temporal check-all-that-apply (TCATA): A novel temporal sensory method for characterizing products. *Food Quality and Preference*, 47, 79-90. http://dx.doi.org/10.1016/j.foodqual.2015.06.017

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | ```
# Toy data from one TCATA assessor on a product over three sessions: rep1, rep2, rep3
rep1 <- rbind(rep(0, 7),
rep(0, 7),
c(0, 0, 0, 1, 1, 1, 1),
c(0, 0, 0, 1, 1, 1, 1),
c(0, 0, 0, 1, 1, 1, 0))
rep2 <- rbind(c(0, 0, 0, 1, 1, 1, 0),
rep(0, 7),
c(0, 1, 1, 1, 1, 1, 0),
rep(1, 7),
c(0, 0, 0, 1, 1, 1, 1))
rep3 <- rbind(rep(0, 7),
rep(0, 7),
rep(1, 7),
rep(1, 7),
rep(1, 7))
rep.data <- list(rep1, rep2, rep3)
# Quantify similarity of assessor a1 to the other assessors
similarity.tcata.repeatability(rep.data)
``` |

```
[1] 0.7333333
```

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