Table 3.
Subject | Estimate | SE | df | t‐Value | p |
---|---|---|---|---|---|
(Intercept)a | 2,338.03 | 73.23 | 436 | 31.92 | <0.001 |
Crab Habitat [mussel] | −893.08 | 142.06 | 310 | −6.28 | <0.001 |
Crab Habitat [pool] | −1,078.90 | 65.65 | 4,292 | −16.43 | <0.001 |
Photo Habitat [mussel] | 239.71 | 12.28 | 509,442 | 19.51 | <0.001 |
Photo Habitat [pool] | 727.28 | 11.87 | 510,886 | 61.28 | <0.001 |
Crab [mussel] × Photo [mussel] | 225.26 | 17.82 | 508,001 | 12.63 | <0.001 |
Crab [pool] × Photo [mussel] | 161.08 | 17.91 | 508,139 | 8.99 | <0.001 |
Crab [mussel] × Photo [pool] | 453.92 | 17.22 | 509,449 | 26.36 | <0.001 |
Crab [pool] × Photo [pool] | 109.53 | 17.39 | 509,349 | 6.29 | <0.001 |
Here, under the test was how quick crabs were to find (i.e., camouflage efficacy) against background types. LMER predicts the time to find crab (i.e., latency to click) risk in relation to crab origin (“crab habitat”), background habitat displayed (“photo habitat”) and their interaction. Intercept includes game ID and crab size as random variables.
Intercept includes factor level: Crab [mud] and Photo [mud].