Project measure / variable:   Brown2   rev_vel_d3


  STRAIN COMPARISON PLOT
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Brown2 - reversal training mean velocity, day 3



  MEASURE SUMMARY
Measure Summary FemaleMale
Number of strains tested13 strains14 strains
Mean of the strain means21.0   cm/s 21.4   cm/s
Median of the strain means21.3   cm/s 20.8   cm/s
SD of the strain means± 6.02 ± 5.20
Coefficient of variation (CV)0.287 0.243
Min–max range of strain means12.2   –   36.1   cm/s 12.1   –   33.5   cm/s
Mean sample size per strain9.5   mice 9.2   mice


  ANOVA, Q-Q NORMALITY ASSESSMENT
ANOVA summary      
FactorDFSum of squaresMean sum of squaresF valuep value (Pr>F)
sex 1 1.9387 1.9387 0.0768 0.782
strain 12 4702.2781 391.8565 15.5151 < 0.0001
sex:strain 12 806.5529 67.2127 2.6612 0.0024
Residuals 219 5531.1644 25.2565


Q-Q normality assessment based on residuals

  


  STRAIN MEANS (UNADJUSTED)
  
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Strain Sex Mean SD N mice SEM CV Min, Max Z score
129S1/SvImJ f 12.2 3.61   7 1.36 0.295 7.09, 18.1 -1.46
129S1/SvImJ m 12.1 2.11   7 0.797 0.175 9.17, 15.7 -1.78
A/J f 14.4 1.6   6 0.653 0.111 11.7, 16.4 -1.09
A/J m 21.5 5.59   18 1.32 0.26 12.1, 31.7 0.02
AKR/J f 21.3 7.07   12 2.04 0.332 8.32, 33.1 0.05
AKR/J m 19.2 5.19   12 1.5 0.271 12.7, 28.4 -0.42
BALB/cByJ f 14.3 5.14   15 1.33 0.36 7.03, 23.7 -1.11
BALB/cByJ m 20.2 5.9   6 2.41 0.293 11.2, 28.0 -0.23
BALB/cJ f 18.8 8.84   14 2.36 0.47 8.95, 36.8 -0.36
BALB/cJ m 21.7 7.27   10 2.3 0.336 12.3, 32.3 0.06
C3H/HeJ f 21.3 2.94   10 0.928 0.138 16.6, 26.0 0.05
C3H/HeJ m 19.7 4.56   9 1.52 0.232 9.25, 24.3 -0.32
C57BL/6J f 21.6 3.48   7 1.32 0.161 18.0, 27.1 0.1
C57BL/6J m 20.6 1.3   7 0.491 0.0631 18.3, 21.9 -0.15
CAST/EiJ f 19.2 4.88   10 1.54 0.254 15.0, 31.7 -0.3
CAST/EiJ m 16.7 4.59   11 1.39 0.275 7.39, 21.8 -0.9
DBA/2J f 26.0 3.26   6 1.33 0.126 19.9, 29.2 0.83
DBA/2J m 26.0 5.44   6 2.22 0.209 20.3, 33.0 0.89
FVB/NJ f 36.1 2.47   6 1.01 0.0683 33.6, 39.3 2.51
FVB/NJ m 33.5 2.98   6 1.22 0.0889 29.0, 37.1 2.33
MOLF/EiJ f 22.5 2.44   11 0.736 0.109 18.9, 26.6 0.25
MOLF/EiJ m 20.9 5.86   4 2.93 0.28 15.2, 27.7 -0.09
SJL/J f 22.5 3.55   12 1.02 0.158 15.4, 27.4 0.25
SJL/J m 16.0 4.47   12 1.29 0.28 7.47, 22.5 -1.03
SM/J f 22.6 5.86   9 1.95 0.259 12.4, 29.3 0.27
SM/J m 24.7 4.01   12 1.16 0.162 15.7, 29.8 0.64
SPRET/EiJ m 26.4 1.83   12 0.528 0.0694 22.9, 29.4 0.97


  LEAST SQUARES MEANS (MODEL-ADJUSTED)
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ f 12.2414 1.8995 15.9851 8.4978
129S1/SvImJ m 12.0671 1.8995 15.8108 8.3235
A/J f 14.3833 2.0517 18.4269 10.3398
A/J m 21.5167 1.1845 23.8512 19.1821
AKR/J f 21.2683 1.4508 24.1276 18.4091
AKR/J m 19.1667 1.4508 22.0259 16.3074
BALB/cByJ f 14.2673 1.2976 16.8247 11.71
BALB/cByJ m 20.1833 2.0517 24.2269 16.1398
BALB/cJ f 18.8121 1.3431 21.4593 16.165
BALB/cJ m 21.65 1.5892 24.7821 18.5179
C3H/HeJ f 21.3 1.5892 24.4321 18.1679
C3H/HeJ m 19.6611 1.6752 22.9627 16.3595
C57BL/6J f 21.6 1.8995 25.3436 17.8564
C57BL/6J m 20.5714 1.8995 24.3151 16.8278
CAST/EiJ f 19.2 1.5892 22.3321 16.0679
CAST/EiJ m 16.69 1.5153 19.6764 13.7036
DBA/2J f 25.9667 2.0517 30.0102 21.9231
DBA/2J m 26.0333 2.0517 30.0769 21.9898
FVB/NJ f 36.1 2.0517 40.1436 32.0564
FVB/NJ m 33.5167 2.0517 37.5602 29.4731
MOLF/EiJ f 22.4727 1.5153 25.4591 19.4864
MOLF/EiJ m 20.95 2.5128 25.9023 15.9977
SJL/J f 22.5083 1.4508 25.3676 19.6491
SJL/J m 15.9808 1.4508 18.8401 13.1216
SM/J f 22.6222 1.6752 25.9238 19.3207
SM/J m 24.7083 1.4508 27.5676 21.8491


  LEAST SQUARES MEANS (MODEL-ADJUSTED), SEXES COMBINED
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ both 12.1543 1.3431 14.8014 9.5071
A/J both 17.95 1.1845 20.2846 15.6154
AKR/J both 20.2175 1.0258 22.2393 18.1957
BALB/cByJ both 17.2253 1.2138 19.6175 14.8331
BALB/cJ both 20.2311 1.0404 22.2815 18.1806
C3H/HeJ both 20.4806 1.1545 22.756 18.2051
C57BL/6J both 21.0857 1.3431 23.7329 18.4386
CAST/EiJ both 17.945 1.0979 20.1088 15.7812
DBA/2J both 26.0 1.4508 28.8592 23.1408
FVB/NJ both 34.8083 1.4508 37.6676 31.9491
MOLF/EiJ both 21.7114 1.4672 24.6029 18.8198
SJL/J both 19.2446 1.0258 21.2664 17.2228
SM/J both 23.6653 1.108 25.8491 21.4815




  GWAS USING LINEAR MIXED MODELS