4.MEMA_3grps.txt 3.0 KB

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  1. # 3 genetypic groups: Val/Val (12), Val/Met (10), Met/Met (9)
  2. # Unequal number of subjects across groups
  3. # 1 effect estimate per subject
  4. # By default 3dMEMA can only compare two groups
  5. # Here the subject grouping is coded through covariates (similarly for 3dttest++)
  6. # Notice the centering strategy
  7. 3dMEMA -prefix output.3grps -jobs 2 \
  8. -missing_data 0 -HKtest \
  9. -covariates cov_3grps.1D \
  10. -covariates_center VM-VV = 0 MM-VV = 0 FD = 0 \
  11. -set VV \
  12. as data/as+tlrc'[HO_resvnr_mvn#0_Coef]' data/as+tlrc'[HO_resvnr_mvn#0_Tstat]' \
  13. cg data/cg+tlrc'[HO_resvnr_mvn#0_Coef]' data/cg+tlrc'[HO_resvnr_mvn#0_Tstat]' \
  14. cm data/cm+tlrc'[HO_resvnr_mvn#0_Coef]' data/cm+tlrc'[HO_resvnr_mvn#0_Tstat]' \
  15. db data/db+tlrc'[HO_resvnr_mvn#0_Coef]' data/db+tlrc'[HO_resvnr_mvn#0_Tstat]' \
  16. dh data/dh+tlrc'[HO_resvnr_mvn#0_Coef]' data/dh+tlrc'[HO_resvnr_mvn#0_Tstat]' \
  17. dt data/dt+tlrc'[HO_resvnr_mvn#0_Coef]' data/dt+tlrc'[HO_resvnr_mvn#0_Tstat]' \
  18. gm data/gm+tlrc'[HO_resvnr_mvn#0_Coef]' data/gm+tlrc'[HO_resvnr_mvn#0_Tstat]' \
  19. hb data/hb+tlrc'[HO_resvnr_mvn#0_Coef]' data/hb+tlrc'[HO_resvnr_mvn#0_Tstat]' \
  20. js data/js+tlrc'[HO_resvnr_mvn#0_Coef]' data/js+tlrc'[HO_resvnr_mvn#0_Tstat]' \
  21. kb data/kb+tlrc'[HO_resvnr_mvn#0_Coef]' data/kb+tlrc'[HO_resvnr_mvn#0_Tstat]' \
  22. mg data/mg+tlrc'[HO_resvnr_mvn#0_Coef]' data/mg+tlrc'[HO_resvnr_mvn#0_Tstat]' \
  23. ph data/ph+tlrc'[HO_resvnr_mvn#0_Coef]' data/ph+tlrc'[HO_resvnr_mvn#0_Tstat]' \
  24. pl data/pl+tlrc'[HO_resvnr_mvn#0_Coef]' data/pl+tlrc'[HO_resvnr_mvn#0_Tstat]' \
  25. ro data/ro+tlrc'[HO_resvnr_mvn#0_Coef]' data/ro+tlrc'[HO_resvnr_mvn#0_Tstat]' \
  26. te data/te+tlrc'[HO_resvnr_mvn#0_Coef]' data/te+tlrc'[HO_resvnr_mvn#0_Tstat]' \
  27. tf data/tf+tlrc'[HO_resvnr_mvn#0_Coef]' data/tf+tlrc'[HO_resvnr_mvn#0_Tstat]' \
  28. zy data/zy+tlrc'[HO_resvnr_mvn#0_Coef]' data/zy+tlrc'[HO_resvnr_mvn#0_Tstat]' \
  29. ee data/ee+tlrc'[HO_resvnr_mvn#0_Coef]' data/ee+tlrc'[HO_resvnr_mvn#0_Tstat]' \
  30. jl data/jl+tlrc'[HO_resvnr_mvn#0_Coef]' data/jl+tlrc'[HO_resvnr_mvn#0_Tstat]' \
  31. jp data/jp+tlrc'[HO_resvnr_mvn#0_Coef]' data/jp+tlrc'[HO_resvnr_mvn#0_Tstat]' \
  32. kc data/kc+tlrc'[HO_resvnr_mvn#0_Coef]' data/kc+tlrc'[HO_resvnr_mvn#0_Tstat]' \
  33. rb data/rb+tlrc'[HO_resvnr_mvn#0_Coef]' data/rb+tlrc'[HO_resvnr_mvn#0_Tstat]' \
  34. aw data/aw+tlrc'[HO_resvnr_mvn#0_Coef]' data/aw+tlrc'[HO_resvnr_mvn#0_Tstat]' \
  35. fc data/fc+tlrc'[HO_resvnr_mvn#0_Coef]' data/fc+tlrc'[HO_resvnr_mvn#0_Tstat]' \
  36. jd data/jd+tlrc'[HO_resvnr_mvn#0_Coef]' data/jd+tlrc'[HO_resvnr_mvn#0_Tstat]' \
  37. jh data/jh+tlrc'[HO_resvnr_mvn#0_Coef]' data/jh+tlrc'[HO_resvnr_mvn#0_Tstat]' \
  38. nb data/nb+tlrc'[HO_resvnr_mvn#0_Coef]' data/nb+tlrc'[HO_resvnr_mvn#0_Tstat]' \
  39. ps data/ps+tlrc'[HO_resvnr_mvn#0_Coef]' data/ps+tlrc'[HO_resvnr_mvn#0_Tstat]' \
  40. sh data/sh+tlrc'[HO_resvnr_mvn#0_Coef]' data/sh+tlrc'[HO_resvnr_mvn#0_Tstat]' \
  41. sk data/sk+tlrc'[HO_resvnr_mvn#0_Coef]' data/sk+tlrc'[HO_resvnr_mvn#0_Tstat]' \
  42. yj data/yj+tlrc'[HO_resvnr_mvn#0_Coef]' data/yj+tlrc'[HO_resvnr_mvn#0_Tstat]'