. 2008 Jan;178(1):67–82. doi: 10.1534/genetics.107.071506

TABLE 3.

Fitting fluctuation data to a two-parameter model of postplating growth

	α-Factor resistance				10× canavanine resistance				5-FOA resistance
Clone	Mut. rate (10⁻⁶)	Div. postplating	P(LLR)	AIC	Mut. rate (10⁻⁷)	Div. postplating	P(LLR)	AIC	Mut. rate (10⁻⁸)	Div. postplating
A	3.07	1.42	0.0005	−10.0	1.76	0.37	0.26	0.7	6.49	0
B	3.66	0.95	0.01	−4.1	1.16	1.08	0.005	−6.0	4.77	0
C	4.17	0.96	0.01	−4.7	1.5	0.94	0.02	−3.7	7.19	0
D	2.89	2.45	<0.0001	−14.4	1.19	1.12	0.007	−5.2	4.97	0.03
E	2.14	2.74	<0.0001	−24.6	1.53	0.67	0.03	−2.7	4.48	0
F	3.34	1.48	0.0002	−11.6	1.46	0.54	0.1	−0.6	6.7	0
G	2.94	1.46	0.0007	−9.4	1.69	0.08	0.74	1.9	4.74	0
H	2.61	2.32	<0.0001	−20.4	1.88	0.18	0.49	1.5	5.01	0
I	2.56	2.45	<0.0001	−19.8	1.48	0.42	0.21	0.4	7.03	0
J	3.36	1.17	0.001	−8.1	1.55	0.72	0.04	−2.2	3.05	0
Average ± SD	3.07 ± 0.59	1.74 ± 0.68			1.52 ± 0.23	0.61 ± 0.36			5.44 ± 1.34	<0.01
Combined	3.07	1.66	<0.0001	−135.3	1.52	0.57	<0.0001	−26.8	5.43	0

Mut. rate is the phenotypic mutation per genome per generation. Div. postplating is the total number of cell divisions after plating that can give rise to mutants. We show two statistical tests for whether the fit is improved by using a two-parameter model that includes the generation of mutants after plating; P(LLR) is the probability from a log-likelihood-ratio test that the one-parameter model should be preferred, and AIC reports the values of the Akaike information criterion, where negative values indicate that the two-parameter model is preferred. Italic values indicate a preference for the two-parameter model. Both tests are explained in more detail in materials and methods. The combined data set treats the 10 72-tube fluctuation assays as one 720-tube fluctuation assay.