WT		Line 9		Line 17		Line 23	
	Rep1	Rep2	Rep1	Rep2	Rep1	Rep2	Rep1	Rep2
Day 0	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000
Day 3	0.0000	0.0000	0.0909	0.0123	0.1266	0.1753	0.0256	0.0103
Day 7	0.0686	0.0309	0.2424	0.1481	0.4937	0.5361	0.1410	0.1031
Day 10	0.1569	0.1552	0.3485	0.2813	0.7595	0.6186	0.2949	0.2321
Day 14	0.2667	0.3077	0.6061	0.4286	0.8219	0.8400	0.5156	0.6667
								
Two-way RM ANOVA	Matching by cols							
								
Source of Variation	% of total variation	P value						
Interaction	11.21	< 0.0001						
Time	63.26	< 0.0001						
Transgenic Line	23.48	0.0015						
Subjects (matching)	0.6784	0.1475						
								
Source of Variation	P value summary	Significant?						
Interaction	***	Yes						
Time	***	Yes						
Transgenic Line	**	Yes						
Subjects (matching)	ns	No						
								
Source of Variation	Df	Sum-of-squares	Mean square	F				
Interaction	12	0.2918	0.02432	10.86				
Time	4	1.647	0.4116	183.8				
Transgenic Line	3	0.6111	0.2037	46.14				
Subjects (matching)	4	0.01766	0.004415	1.972				
Residual	16	0.03583	0.002239					
								
Number of missing values	0							
								
Bonferroni posttests								
								
WT vs Line 9								
Transgenic Line	WT	Line 9	Difference	95% CI of diff.				
Day 0	0	0	0	-0.1722 to 0.1722				
Day 3	0	0.05163	0.05163	-0.1206 to 0.2239				
Day 7	0.04978	0.1953	0.1455	-0.02673 to 0.3177				
Day 10	0.156	0.3149	0.1589	-0.01339 to 0.3311				
Day 14	0.2872	0.5173	0.2301	0.05790 to 0.4024				
								
Transgenic Line	Difference	t	P value	Summary				
Day 0	0	0	P > 0.05	ns				
Day 3	0.05163	0.9983	P > 0.05	ns				
Day 7	0.1455	2.814	P > 0.05	ns				
Day 10	0.1589	3.072	P < 0.05	*				
Day 14	0.2301	4.45	P<0.01	**				
								
WT vs Line 17								
Transgenic Line	WT	Line 17	Difference	95% CI of diff.				
Day 0	0	0	0	-0.1722 to 0.1722				
Day 3	0	0.1509	0.1509	-0.02132 to 0.3232				
Day 7	0.04978	0.5149	0.4651	0.2929 to 0.6373				
Day 10	0.156	0.689	0.533	0.3608 to 0.7052				
Day 14	0.2872	0.831	0.5438	0.3715 to 0.7160				
								
Transgenic Line	Difference	t	P value	Summary				
Day 0	0	0	P > 0.05	ns				
Day 3	0.1509	2.918	P < 0.05	*				
Day 7	0.4651	8.994	P<0.001	***				
Day 10	0.533	10.31	P<0.001	***				
Day 14	0.5438	10.52	P<0.001	***				
								
WT vs Line 23								
Transgenic Line	WT	Line 23	Difference	95% CI of diff.				
Day 0	0	0	0	-0.1722 to 0.1722				
Day 3	0	0.01798	0.01798	-0.1543 to 0.1902				
Day 7	0.04978	0.1221	0.07228	-0.09996 to 0.2445				
Day 10	0.156	0.2635	0.1075	-0.06475 to 0.2797				
Day 14	0.2872	0.5911	0.304	0.1317 to 0.4762				
								
Transgenic Line	Difference	t	P value	Summary				
Day 0	0	0	P > 0.05	ns				
Day 3	0.01798	0.3476	P > 0.05	ns				
Day 7	0.07228	1.398	P > 0.05	ns				
Day 10	0.1075	2.079	P > 0.05	ns				
Day 14	0.304	5.878	P<0.001	***				
								
Narrative results								
Source of Variation	DF	Sum of Squares	Mean Square					
Interaction	12	0.2918	0.02432					
Time	4	1.647	0.4116					
Transgenic Line	3	0.6111	0.2037					
Subjects (matching)	4	0.01766	0.004415					
Residual (Error)	16	0.03583	0.002239					
Total	39	2.603						
								
								
Does Time have the same effect at all values of Transgenic Line?								
Interaction accounts for 11.21% of the total variance.								
F = 10.86.  DFn=12 DFd=16								
The P value is <0.0001								
"If there is no interaction overall, there is a less than 0.01% chance of randomly observing so much"								
interaction in an experiment of this size.  The interaction is considered extremely significant.								
								
"Since the interaction is statistically significant, the P values that"								
follow for the row and column effects are difficult to interpret.								
								
								
Does Transgenic Line affect the result? (Are the curves different?)								
Transgenic Line accounts for 23.48% of the total variance (after adjusting for matching).								
F = 46.14.  DFn=3 DFd=4								
The P value = 0.0015								
"If Transgenic Line has no effect overall, there is a 0.15% chance of randomly observing an"								
effect this big (or bigger) in an experiment of this size.  The effect is considered very significant.								
								
								
Does Time affect the result? (Are the curves horizontal?)								
Time accounts for 63.26% of the total variance (after adjusting for matching).								
F = 183.84.  DFn=4 DFd=16								
The P value is <0.0001								
"If Time has no effect overall, there is a less than 0.01% chance of randomly observing an"								
effect this big (or bigger) in an experiment of this size.  The effect is considered extremely significant.								
								
								
Was the matching effective?								
F = 1.97.  DFn=4 DFd=16								
The P value = 0.1475								
"If matching were not effective overall, there is a 15% chance of randomly observing an"								
effect this big (or bigger) in an experiment of this size.  The effect is considered not significant.