Project measure / variable:   Brown2   acq_vel_d3


  STRAIN COMPARISON PLOT
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Brown2 - acquisition training mean velocity, day3



  MEASURE SUMMARY
Measure Summary FemaleMale
Number of strains tested13 strains14 strains
Mean of the strain means20.2   cm/s 20.7   cm/s
Median of the strain means21.1   cm/s 20.5   cm/s
SD of the strain means± 4.89 ± 4.40
Coefficient of variation (CV)0.242 0.213
Min–max range of strain means12.8   –   29.4   cm/s 13.6   –   32.6   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 9.1599 9.1599 0.3922 0.5318
strain 12 3175.6642 264.6387 11.3305 < 0.0001
sex:strain 12 720.2673 60.0223 2.5699 0.0033
Residuals 220 5138.3711 23.3562


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 12.8 3.83   7 1.45 0.3 9.34, 20.3 -1.52
129S1/SvImJ m 13.6 2.32   7 0.876 0.171 11.1, 18.0 -1.6
A/J f 14.1 3.87   6 1.58 0.274 7.43, 17.4 -1.26
A/J m 19.8 3.46   18 0.816 0.175 13.6, 25.2 -0.19
AKR/J f 21.1 7.28   12 2.1 0.346 7.16, 31.5 0.18
AKR/J m 21.9 5.52   12 1.59 0.252 15.6, 32.5 0.28
BALB/cByJ f 15.3 5.72   15 1.48 0.374 8.32, 27.7 -1.01
BALB/cByJ m 18.4 3.97   6 1.62 0.215 10.8, 22.0 -0.51
BALB/cJ f 18.4 6.64   14 1.78 0.361 7.04, 27.5 -0.38
BALB/cJ m 21.2 5.27   10 1.67 0.248 12.8, 30.2 0.12
C3H/HeJ f 22.1 4.86   10 1.54 0.22 14.4, 31.2 0.38
C3H/HeJ m 19.8 4.48   9 1.49 0.226 8.86, 23.5 -0.19
C57BL/6J f 22.6 3.36   7 1.27 0.149 18.5, 27.5 0.48
C57BL/6J m 18.5 2.28   7 0.862 0.124 15.2, 21.4 -0.49
CAST/EiJ f 16.0 3.66   10 1.16 0.229 12.7, 25.5 -0.87
CAST/EiJ m 16.0 3.0   11 0.906 0.188 10.7, 21.2 -1.06
DBA/2J f 29.4 4.7   6 1.92 0.16 23.0, 36.4 1.87
DBA/2J m 22.8 5.35   6 2.18 0.234 18.2, 33.0 0.49
FVB/NJ f 27.2 5.21   6 2.13 0.191 18.6, 32.7 1.42
FVB/NJ m 32.6 3.34   6 1.36 0.102 27.5, 37.8 2.72
MOLF/EiJ f 21.1 2.03   12 0.585 0.096 16.6, 24.4 0.18
MOLF/EiJ m 22.6 3.1   4 1.55 0.137 18.5, 26.0 0.44
SJL/J f 22.5 3.55   12 1.03 0.158 16.0, 28.5 0.46
SJL/J m 17.5 5.36   12 1.55 0.307 9.92, 25.9 -0.72
SM/J f 20.5 6.38   9 2.13 0.311 8.91, 28.1 0.05
SM/J m 22.9 6.59   12 1.9 0.288 9.95, 33.1 0.51
SPRET/EiJ m 21.6 3.5   12 1.01 0.162 13.3, 25.7 0.21


  LEAST SQUARES MEANS (MODEL-ADJUSTED)
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ f 12.7529 1.8266 16.3528 9.1529
129S1/SvImJ m 13.5571 1.8266 17.1571 9.9572
A/J f 14.1383 1.973 18.0267 10.2499
A/J m 19.8056 1.1391 22.0505 17.5606
AKR/J f 21.0633 1.3951 23.8128 18.3138
AKR/J m 21.8833 1.3951 24.6328 19.1338
BALB/cByJ f 15.282 1.2478 17.7412 12.8228
BALB/cByJ m 18.45 1.973 22.3384 14.5616
BALB/cJ f 18.405 1.2916 20.9505 15.8595
BALB/cJ m 21.24 1.5283 24.2519 18.2281
C3H/HeJ f 22.11 1.5283 25.1219 19.0981
C3H/HeJ m 19.7956 1.6109 22.9704 16.6207
C57BL/6J f 22.6286 1.8266 26.2285 19.0286
C57BL/6J m 18.4714 1.8266 22.0714 14.8715
CAST/EiJ f 16.0 1.5283 19.0119 12.9881
CAST/EiJ m 15.9727 1.4572 18.8445 13.101
DBA/2J f 29.3833 1.973 33.2717 25.4949
DBA/2J m 22.8167 1.973 26.7051 18.9283
FVB/NJ f 27.25 1.973 31.1384 23.3616
FVB/NJ m 32.5833 1.973 36.4717 28.6949
MOLF/EiJ f 21.1 1.3951 23.8495 18.3505
MOLF/EiJ m 22.6 2.4164 27.3623 17.8377
SJL/J f 22.4667 1.3951 25.2162 19.7172
SJL/J m 17.4683 1.3951 20.2178 14.7188
SM/J f 20.5011 1.6109 23.676 17.3263
SM/J m 22.9125 1.3951 25.662 20.163


  LEAST SQUARES MEANS (MODEL-ADJUSTED), SEXES COMBINED
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ both 13.155 1.2916 15.7005 10.6095
A/J both 16.9719 1.1391 19.2169 14.727
AKR/J both 21.4733 0.9865 23.4175 19.5291
BALB/cByJ both 16.866 1.1672 19.1664 14.5656
BALB/cJ both 19.8225 1.0005 21.7943 17.8507
C3H/HeJ both 20.9528 1.1103 23.1409 18.7647
C57BL/6J both 20.55 1.2916 23.0955 18.0045
CAST/EiJ both 15.9864 1.0558 18.0672 13.9056
DBA/2J both 26.1 1.3951 28.8495 23.3505
FVB/NJ both 29.9167 1.3951 32.6662 27.1672
MOLF/EiJ both 21.85 1.3951 24.5995 19.1005
SJL/J both 19.9675 0.9865 21.9117 18.0233
SM/J both 21.7068 1.0655 23.8068 19.6068




  GWAS USING LINEAR MIXED MODELS