TDS significance proportion

Description

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

Usage

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get.significance(chance, n, alpha = 0.05)

Arguments

chance

chance proportion; see get.chance.

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)

Details

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.

References

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

Examples

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# 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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