Obtains the TDS significance proportion based on the number of observations and chance, as proposed by Pineau et al. (2009; Eq. 1).

1 | ```
get.significance(chance, n, alpha = 0.05)
``` |

`chance` |
chance proportion; see |

`n` |
number of observations. |

`alpha` |
significance level for binomial test of 2 independent proportions (based on normal approximation; see: Pineau et al., 2009, Eq. 1) |

The TDS significance level proposed by Pineau et al. (2009, Eq. 1) provides a simple and widely used heuristic approach for contextualizing observed dominance rates, but should not be used for statistical inference.

Pineau, N., Schlich, P., Cordelle, S., Mathonnière, C., Issanchou, S., Imbert, A., Rogeaux, M., Etiévant, P., & Köster, E. (2009). Temporal Dominance of Sensations: Construction of the TDS curves and comparison with time–intensity. *Food Quality and Preference*, 20, 450–455. http://dx.doi.org/10.1016/j.foodqual.2009.04.005

1 2 3 4 5 | ```
# example using 'bars' data set
attributes <- unique(bars$attribute)
chance <- get.chance(attributes)
signif <- get.significance(chance, nrow(unique(bars[, 1:2])))
signif
``` |

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