Project measure / variable:   Brown2   thigmotaxia_ave


  STRAIN COMPARISON PLOT
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Brown2 - mean time within pool edge, across all aquistion and reversal trials



  MEASURE SUMMARY
Measure Summary FemaleMale
Number of strains tested13 strains14 strains
Mean of the strain means15.3   s 14.3   s
Median of the strain means14.4   s 11.4   s
SD of the strain means± 6.57 ± 6.51
Coefficient of variation (CV)0.429 0.455
Min–max range of strain means4.87   –   29.5   s 5.18   –   24.1   s
Mean sample size per strain10.5   mice 10.0   mice


  ANOVA, Q-Q NORMALITY ASSESSMENT
ANOVA summary      
FactorDFSum of squaresMean sum of squaresF valuep value (Pr>F)
sex 1 116.8251 116.8251 1.8811 0.1715
strain 12 8348.2873 695.6906 11.202 < 0.0001
sex:strain 12 817.2628 68.1052 1.0966 0.3635
Residuals 240 14904.9834 62.1041


Q-Q normality assessment based on residuals

  


  STRAIN MEANS (UNADJUSTED)
  
Select table page:
Strain Sex Mean SD N mice SEM CV Min, Max Z score
129S1/SvImJ f 7.69 8.92   12 2.58 1.16 -1.16
129S1/SvImJ m 5.18 3.91   12 1.13 0.754 0.079, 12.6 -1.4
A/J f 29.5 7.92   6 3.23 0.268 20.4, 40.4 2.16
A/J m 21.3 7.47   18 1.76 0.35 10.1, 37.6 1.07
AKR/J f 4.87 2.02   12 0.584 0.416 2.59, 9.29 -1.59
AKR/J m 7.75 2.53   12 0.731 0.327 3.9, 12.6 -1.01
BALB/cByJ f 14.1 9.55   15 2.47 0.676 4.86, 33.0 -0.18
BALB/cByJ m 9.33 5.88   6 2.4 0.631 3.6, 19.1 -0.76
BALB/cJ f 11.7 9.04   14 2.42 0.776 2.69, 33.3 -0.55
BALB/cJ m 9.79 9.02   10 2.85 0.921 2.27, 32.4 -0.69
C3H/HeJ f 19.8 7.89   10 2.5 0.399 9.11, 31.0 0.69
C3H/HeJ m 19.6 10.7   9 3.58 0.55 6.96, 41.1 0.81
C57BL/6J f 16.8 9.32   12 2.69 0.556 3.6, 32.7 0.23
C57BL/6J m 11.8 7.19   12 2.08 0.607 3.25, 27.4 -0.38
CAST/EiJ f 20.4 13.0   10 4.1 0.634 3.15, 47.3 0.78
CAST/EiJ m 20.6 13.0   11 3.91 0.629 6.62, 39.9 0.97
DBA/2J f 11.6 3.31   6 1.35 0.285 6.65, 14.7 -0.56
DBA/2J m 7.49 2.43   6 0.991 0.324 4.18, 10.4 -1.05
FVB/NJ f 14.4 2.57   6 1.05 0.179 10.1, 17.3 -0.14
FVB/NJ m 20.8 8.66   6 3.54 0.417 14.2, 34.3 1.0
MOLF/EiJ f 21.1 8.26   12 2.38 0.39 10.3, 43.0 0.89
MOLF/EiJ m 21.1 11.3   4 5.65 0.537 11.4, 37.4 1.04
SJL/J f 17.3 7.41   12 2.14 0.429 10.5, 34.3 0.31
SJL/J m 11.1 2.85   12 0.823 0.258 7.72, 14.9 -0.49
SM/J f 9.48 5.42   9 1.81 0.571 4.26, 20.7 -0.88
SM/J m 10.3 6.66   12 1.92 0.649 2.63, 23.2 -0.61
SPRET/EiJ m 24.1 8.5   12 2.45 0.353 6.26, 35.7 1.5


  LEAST SQUARES MEANS (MODEL-ADJUSTED)
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ f 7.6925 2.2749 12.1739 3.2111
129S1/SvImJ m 5.1782 2.2749 9.6596 0.6969
A/J f 29.4833 3.2172 35.821 23.1457
A/J m 21.35 1.8575 25.009 17.691
AKR/J f 4.8658 2.2749 9.3472 0.3844
AKR/J m 7.75 2.2749 12.2314 3.2686
BALB/cByJ f 14.1153 2.0348 18.1236 10.1071
BALB/cByJ m 9.3267 3.2172 15.6643 2.989
BALB/cJ f 11.65 2.1062 15.799 7.501
BALB/cJ m 9.787 2.4921 14.6961 4.8779
C3H/HeJ f 19.765 2.4921 24.6741 14.8559
C3H/HeJ m 19.5511 2.6269 24.7258 14.3764
C57BL/6J f 16.7742 2.2749 21.2556 12.2928
C57BL/6J m 11.8458 2.2749 16.3272 7.3644
CAST/EiJ f 20.436 2.4921 25.3451 15.5269
CAST/EiJ m 20.5818 2.3761 25.2625 15.9012
DBA/2J f 11.6167 3.2172 17.9543 5.279
DBA/2J m 7.4933 3.2172 13.831 1.1557
FVB/NJ f 14.4167 3.2172 20.7543 8.079
FVB/NJ m 20.7667 3.2172 27.1043 14.429
MOLF/EiJ f 21.15 2.2749 25.6314 16.6686
MOLF/EiJ m 21.05 3.9403 28.812 13.288
SJL/J f 17.2667 2.2749 21.7481 12.7853
SJL/J m 11.0592 2.2749 15.5406 6.5778
SM/J f 9.4844 2.6269 14.6591 4.3098
SM/J m 10.2575 2.2749 14.7389 5.7761


  LEAST SQUARES MEANS (MODEL-ADJUSTED), SEXES COMBINED
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ both 6.4354 1.6086 9.6042 3.2666
A/J both 25.4167 1.8575 29.0757 21.7576
AKR/J both 6.3079 1.6086 9.4767 3.1391
BALB/cByJ both 11.721 1.9033 15.4704 7.9716
BALB/cJ both 10.7185 1.6314 13.9323 7.5047
C3H/HeJ both 19.6581 1.8104 23.2244 16.0917
C57BL/6J both 14.31 1.6086 17.4788 11.1412
CAST/EiJ both 20.5089 1.7216 23.9004 17.1174
DBA/2J both 9.555 2.2749 14.0364 5.0736
FVB/NJ both 17.5917 2.2749 22.0731 13.1103
MOLF/EiJ both 21.1 2.2749 25.5814 16.6186
SJL/J both 14.1629 1.6086 17.3317 10.9941
SM/J both 9.871 1.7375 13.2937 6.4483




  GWAS USING LINEAR MIXED MODELS