R version 3.0.2 (2013-09-25) -- "Frisbee Sailing"
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> #####################################
> ## Stage 2 : Three Latent Variables ##
> #####################################
>

> library(metaSEM)
Loading required package: OpenMx
> load("rand116-20_stage1.RData")
>
> sessionInfo()
R version 3.0.2 (2013-09-25)
Platform: x86_64-apple-darwin10.8.0 (64-bit)
locale:
[1] en_AU.UTF-8/en_AU.UTF-8/en_AU.UTF-8/C/en_AU.UTF-8/en_AU.UTF-8
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] metaSEM_0.8-5 OpenMx_1.4-3059
loaded via a namespace (and not attached):
[1] ellipse_0.3-8 grid_3.0.2 lattice_0.20-23 MASS_7.3-29 Matrix_1.0-14
>
>
> #### matrix A ####
>
> A1<-read.csv("matrix.a.csv",sep=",", header=TRUE,row.names=1)
>
> A1
EM L2 L3 L4 L6 L7 I1 I2 I3 F1 F2 F4s F4r F5 F6 F7 F8g F8m F10 F9 F I L
EM 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.3*F_EM 0.3*I_EM 0.3*L_EM
L2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.3*L_L2
L3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.3*L_L3
L4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.3*L_L4
L6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.3*L_L6
L7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.3*L_L7
I1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.3*I_I1 0
I2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.3*I_I2 0
I3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.3*I_I3 0
F1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.3*F_F1 0 0
F2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.3*F_F2 0 0
F4s 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.3*F_F4s 0 0
F4r 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.3*F_F4r 0 0
F5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.3*F_F5 0 0
F6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.3*F_F6 0 0
F7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.3*F_F7 0 0
F8g 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.3*F_F8g 0 0
F8m 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.3*F_F8m 0 0
F10 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.3*F_F10 0 0
F9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.3*F_F9 0 0
F 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
I 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
L 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
>
> A1<-as.mxMatrix(A1)
>
> A1
FullMatrix 'A1'
@labels
[,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11] [,12] [,13] [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23]
[1,] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA "F_EM" "I_EM" "L_EM"
[2,] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA "L_L2"
[3,] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA "L_L3"
[4,] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA "L_L4"
[5,] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA "L_L6"
[6,] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA "L_L7"
[7,] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA "I_I1" NA
[8,] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA "I_I2" NA
[9,] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA "I_I3" NA
[10,] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA "F_F1" NA NA
[11,] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA "F_F2" NA NA
[12,] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA "F_F4s" NA NA
[13,] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA "F_F4r" NA NA
[14,] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA "F_F5" NA NA
[15,] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA "F_F6" NA NA
[16,] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA "F_F7" NA NA
[17,] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA "F_F8g" NA NA
[18,] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA "F_F8m" NA NA
[19,] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA "F_F10" NA NA
[20,] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA "F_F9" NA NA
[21,] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
[22,] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
[23,] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
@values
[,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11] [,12] [,13] [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23]
[1,] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.3 0.3 0.3
[2,] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.3
[3,] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.3
[4,] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.3
[5,] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.3
[6,] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.3
[7,] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.3 0.0
[8,] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.3 0.0
[9,] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.3 0.0
[10,] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.3 0.0 0.0
[11,] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.3 0.0 0.0
[12,] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.3 0.0 0.0
[13,] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.3 0.0 0.0
[14,] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.3 0.0 0.0
[15,] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.3 0.0 0.0
[16,] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.3 0.0 0.0
[17,] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.3 0.0 0.0
[18,] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.3 0.0 0.0
[19,] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.3 0.0 0.0
[20,] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.3 0.0 0.0
[21,] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0
[22,] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0
[23,] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0
@free
[,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11] [,12] [,13] [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23]
[1,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE TRUE TRUE
[2,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE
[3,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE
[4,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE
[5,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE
[6,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE
[7,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE
[8,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE
[9,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE
[10,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE
[11,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE
[12,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE
[13,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE
[14,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE
[15,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE
[16,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE
[17,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE
[18,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE
[19,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE
[20,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE
[21,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
[22,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
[23,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
@lbound: No lower bounds assigned.
@ubound: No upper bounds assigned.
>
>
> #### matrix S ####
>
> S1<-read.csv("matrix.s.csv",sep=",", header=TRUE,row.names=1)
>
> S1
EM L2 L3 L4 L6 L7 I1 I2 I3 F1 F2 F4s F4r F5 F6 F7 F8g F8m F10 F9 F I L
EM 0.2*eEM 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
L2 0 0.2*eL2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
L3 0 0 0.2*eL3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
L4 0 0 0 0.2*eL4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
L6 0 0 0 0 0.2*eL6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
L7 0 0 0 0 0 0.2*eL7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
I1 0 0 0 0 0 0 0.2*eI1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
I2 0 0 0 0 0 0 0 0.2*eI2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
I3 0 0 0 0 0 0 0 0 0.2*eI3 0 0 0 0 0 0 0 0 0 0 0 0 0 0
F1 0 0 0 0 0 0 0 0 0 0.2*eF1 0 0 0 0 0 0 0 0 0 0 0 0 0
F2 0 0 0 0 0 0 0 0 0 0 0.2*eF2 0 0 0 0 0 0 0 0 0 0 0 0
F4s 0 0 0 0 0 0 0 0 0 0 0 0.2*eF4s 0 0 0 0 0 0 0 0 0 0 0
F4r 0 0 0 0 0 0 0 0 0 0 0 0 0.2*eF4r 0 0 0 0 0 0 0 0 0 0
F5 0 0 0 0 0 0 0 0 0 0 0 0 0 0.2*eF5 0 0 0 0 0 0 0 0 0
F6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.2*eF6 0 0 0 0 0 0 0 0
F7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.2*eF7 0 0 0 0 0 0 0
F8g 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.2*eF8g 0 0 0 0 0 0
F8m 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.2*eF8m 0 0 0 0 0
F10 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.2*eF10 0 0 0 0
F9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.2*eF9 0 0 0
F 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0.3*corFI 0.3*corFL
I 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.3*corFI 1 0.3*corIL
L 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.3*corFL 0.3*corIL 1
>
> S1<-as.mxMatrix(S1)
>
> S1
FullMatrix 'S1'
@labels
[,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11] [,12] [,13] [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23]
[1,] "eEM" NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
[2,] NA "eL2" NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
[3,] NA NA "eL3" NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
[4,] NA NA NA "eL4" NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
[5,] NA NA NA NA "eL6" NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
[6,] NA NA NA NA NA "eL7" NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
[7,] NA NA NA NA NA NA "eI1" NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
[8,] NA NA NA NA NA NA NA "eI2" NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
[9,] NA NA NA NA NA NA NA NA "eI3" NA NA NA NA NA NA NA NA NA NA NA NA NA NA
[10,] NA NA NA NA NA NA NA NA NA "eF1" NA NA NA NA NA NA NA NA NA NA NA NA NA
[11,] NA NA NA NA NA NA NA NA NA NA "eF2" NA NA NA NA NA NA NA NA NA NA NA NA
[12,] NA NA NA NA NA NA NA NA NA NA NA "eF4s" NA NA NA NA NA NA NA NA NA NA NA
[13,] NA NA NA NA NA NA NA NA NA NA NA NA "eF4r" NA NA NA NA NA NA NA NA NA NA
[14,] NA NA NA NA NA NA NA NA NA NA NA NA NA "eF5" NA NA NA NA NA NA NA NA NA
[15,] NA NA NA NA NA NA NA NA NA NA NA NA NA NA "eF6" NA NA NA NA NA NA NA NA
[16,] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA "eF7" NA NA NA NA NA NA NA
[17,] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA "eF8g" NA NA NA NA NA NA
[18,] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA "eF8m" NA NA NA NA NA
[19,] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA "eF10" NA NA NA NA
[20,] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA "eF9" NA NA NA
[21,] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA "corFI" "corFL"
[22,] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA "corFI" NA "corIL"
[23,] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA "corFL" "corIL" NA
@values
[,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11] [,12] [,13] [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23]
[1,] 0.2 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
[2,] 0.0 0.2 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
[3,] 0.0 0.0 0.2 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
[4,] 0.0 0.0 0.0 0.2 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
[5,] 0.0 0.0 0.0 0.0 0.2 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
[6,] 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
[7,] 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
[8,] 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
[9,] 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
[10,] 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
[11,] 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
[12,] 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
[13,] 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
[14,] 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
[15,] 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
[16,] 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.0 0.0 0.0 0.0 0.0 0.0
[17,] 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.0 0.0 0.0 0.0 0.0
[18,] 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.0 0.0 0.0 0.0
[19,] 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.0 0.0 0.0
[20,] 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.0 0.0
[21,] 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.3 0.3
[22,] 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.3 1.0 0.3
[23,] 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.3 0.3 1.0
@free
[,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11] [,12] [,13] [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23]
[1,] TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
[2,] FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
[3,] FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
[4,] FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
[5,] FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
[6,] FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
[7,] FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
[8,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
[9,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
[10,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
[11,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
[12,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
[13,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
[14,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
[15,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
[16,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
[17,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE
[18,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE
[19,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE
[20,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE
[21,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE TRUE
[22,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE TRUE
[23,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE TRUE FALSE
@lbound: No lower bounds assigned.
@ubound: No upper bounds assigned.
>
>
> #### matrix F ####
>
> F1<-create.Fmatrix(c(rep(1, 20),rep(0, 3)))
>
> ### estimate ####
>
> random2a<-tssem2(random1, Amatrix=A1, Smatrix=S1, Fmatrix=F1, diag.constraints=TRUE, intervals.type="z", model.name="TSSEM EntryMode Model A")
Running TSSEM EntryMode Model A
>
> random2b<-tssem2(random1, Amatrix=A1, Smatrix=S1, Fmatrix=F1, diag.constraints=TRUE, intervals.type="LB", model.name="TSSEM EntryMode Model B")
Running TSSEM EntryMode Model B
>
> random2c<-tssem2(random1, Amatrix=A1, Smatrix=S1, Fmatrix=F1, model.name="TSSEM EntryMode Model C")
Running TSSEM EntryMode Model C
>
> # report
>
> summary(random2a)
Call:
wls(Cov = pooledS, asyCov = asyCov, n = tssem1.obj$total.n, Amatrix = Amatrix,
Smatrix = Smatrix, Fmatrix = Fmatrix, diag.constraints = diag.constraints,
cor.analysis = cor.analysis, intervals.type = intervals.type,
mx.algebras = mx.algebras, model.name = model.name, suppressWarnings = suppressWarnings)
95% confidence intervals: z statistic approximation
Coefficients:
Estimate Std.Error lbound ubound z value Pr(>|z|)
Amatrix[1,21] 1.0310e-01 1.9463e+02 NA NA 0.0005 0.999577
Amatrix[1,22] 1.1788e-01 4.3484e-02 NA NA 2.7108 0.006711 **
Amatrix[1,23] 6.4758e-02 3.1067e-02 NA NA 2.0845 0.037117 *
Amatrix[2,23] 6.1271e-01 2.8501e-02 NA NA 21.4974 < 2.2e-16 ***
Amatrix[3,23] 1.5465e-01 2.9950e-02 NA NA 5.1638 2.420e-07 ***
Amatrix[4,23] -3.1432e-02 5.1563e-02 NA NA -0.6096 0.542142
Amatrix[5,23] 1.5562e-01 5.5908e-02 NA NA 2.7836 0.005376 **
Amatrix[6,23] -1.0331e-01 6.7603e-02 NA NA -1.5282 0.126460
Amatrix[7,22] 1.6614e-01 7.0256e-02 NA NA 2.3648 0.018039 *
Amatrix[8,22] 1.7140e-01 7.3645e-02 NA NA 2.3274 0.019943 *
Amatrix[9,22] -5.0622e-01 6.6605e-02 NA NA -7.6004 2.953e-14 ***
Amatrix[10,21] -8.9803e-03 7.7687e-02 NA NA -0.1156 0.907973
Amatrix[11,21] 1.4350e-01 3.3095e+02 NA NA 0.0004 0.999654
Amatrix[12,21] -2.8841e-02 1.4531e-01 NA NA -0.1985 0.842670
Amatrix[13,21] -2.6013e-02 2.2143e-01 NA NA -0.1175 0.906483
Amatrix[14,21] 2.0547e-01 3.1450e+00 NA NA 0.0653 0.947909
Amatrix[15,21] 6.0591e-02 3.5573e+02 NA NA 0.0002 0.999864
Amatrix[16,21] 2.8893e-01 9.5916e+00 NA NA 0.0301 0.975969
Amatrix[17,21] 5.3368e-01 2.6424e-01 NA NA 2.0197 0.043416 *
Amatrix[18,21] 4.0564e-01 2.1058e-01 NA NA 1.9264 0.054061 .
Amatrix[19,21] 5.2306e-01 1.1893e-01 NA NA 4.3982 1.091e-05 ***
Amatrix[20,21] 5.2497e-01 4.9269e+00 NA NA 0.1066 0.915146
Smatrix[1,1] 9.6500e-01 1.4999e+02 NA NA 0.0064 0.994867
Smatrix[2,2] 6.2459e-01 3.0928e+02 NA NA 0.0020 0.998389
Smatrix[3,3] 9.7608e-01 1.7231e-01 NA NA 5.6647 1.473e-08 ***
Smatrix[4,4] 9.9901e-01 2.0197e-01 NA NA 4.9464 7.559e-07 ***
Smatrix[5,5] 9.7578e-01 3.2338e-02 NA NA 30.1741 < 2.2e-16 ***
Smatrix[6,6] 9.8933e-01 1.7194e+02 NA NA 0.0058 0.995409
Smatrix[7,7] 9.7240e-01 6.9483e-02 NA NA 13.9947 < 2.2e-16 ***
Smatrix[8,8] 9.7062e-01 1.6322e-01 NA NA 5.9467 2.737e-09 ***
Smatrix[9,9] 7.4374e-01 7.1629e+01 NA NA 0.0104 0.991716
Smatrix[10,10] 9.9992e-01 2.4676e-03 NA NA 405.2257 < 2.2e-16 ***
Smatrix[11,11] 9.7941e-01 9.4801e-03 NA NA 103.3118 < 2.2e-16 ***
Smatrix[12,12] 9.9917e-01 1.9890e-03 NA NA 502.3486 < 2.2e-16 ***
Smatrix[13,13] 9.9932e-01 2.3390e-03 NA NA 427.2398 < 2.2e-16 ***
Smatrix[14,14] 9.5778e-01 2.0972e-02 NA NA 45.6688 < 2.2e-16 ***
Smatrix[15,15] 9.9633e-01 7.0894e-03 NA NA 140.5375 < 2.2e-16 ***
Smatrix[16,16] 9.1652e-01 4.3704e-02 NA NA 20.9709 < 2.2e-16 ***
Smatrix[17,17] 7.1519e-01 7.5218e-02 NA NA 9.5082 < 2.2e-16 ***
Smatrix[18,18] 8.3545e-01 5.9816e-02 NA NA 13.9672 < 2.2e-16 ***
Smatrix[19,19] 7.2640e-01 6.7451e-02 NA NA 10.7694 < 2.2e-16 ***
Smatrix[20,20] 7.2441e-01 8.5231e-02 NA NA 8.4994 < 2.2e-16 ***
Smatrix[22,21] -2.3992e-02 2.9615e+01 NA NA -0.0008 0.999354
Smatrix[23,21] 1.6811e-01 2.9173e+01 NA NA 0.0058 0.995402
Smatrix[23,22] 3.0292e-01 1.4372e+03 NA NA 0.0002 0.999832
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Goodness-of-fit indices:
Value
Sample size 234655.0000
Chi-square of target model 390.1656
DF of target model 165.0000
p value of target model 0.0000
Number of constraints imposed on "Smatrix" 20.0000
DF manually adjusted 0.0000
Chi-square of independence model 748.8975
DF of independence model 190.0000
RMSEA 0.0024
SRMR 0.0614
TLI 0.5361
CFI 0.5971
AIC 60.1656
BIC -1650.2033
OpenMx status1: 0 ("0" or "1": The optimization is considered fine.
Other values indicate problems.)
> summary(random2b)
Call:
wls(Cov = pooledS, asyCov = asyCov, n = tssem1.obj$total.n, Amatrix = Amatrix,
Smatrix = Smatrix, Fmatrix = Fmatrix, diag.constraints = diag.constraints,
cor.analysis = cor.analysis, intervals.type = intervals.type,
mx.algebras = mx.algebras, model.name = model.name, suppressWarnings = suppressWarnings)
95% confidence intervals: Likelihood-based statistic
Coefficients:
Estimate Std.Error lbound ubound z value Pr(>|z|)
Amatrix[1,21] 1.0310e-01 NA -1.7584e+03 4.8342e+02 NA NA
Amatrix[1,22] 1.1788e-01 NA -5.5797e+01 4.6517e+03 NA NA
Amatrix[1,23] 6.4758e-02 NA -7.3394e+03 3.4446e+03 NA NA
Amatrix[2,23] 6.1271e-01 NA 5.0631e-02 9.9608e+01 NA NA
Amatrix[3,23] 1.5465e-01 NA -1.2253e-01 7.9750e-01 NA NA
Amatrix[4,23] -3.1432e-02 NA -4.0195e-01 1.3908e-01 NA NA
Amatrix[5,23] 1.5562e-01 NA -4.6721e-03 3.3870e-01 NA NA
Amatrix[6,23] -1.0331e-01 NA -5.8056e-01 8.7367e-02 NA NA
Amatrix[7,22] 1.6614e-01 NA -2.6416e-02 4.1506e-01 NA NA
Amatrix[8,22] 1.7140e-01 NA -5.9217e-02 6.7896e-01 NA NA
Amatrix[9,22] -5.0622e-01 NA -2.5862e+02 -1.3325e-02 NA NA
Amatrix[10,21] -8.9803e-03 NA -7.4790e-02 5.7564e-02 NA NA
Amatrix[11,21] 1.4350e-01 NA 8.5024e-02 2.0350e-01 NA NA
Amatrix[12,21] -2.8841e-02 NA -7.4369e-02 1.6622e-02 NA NA
Amatrix[13,21] -2.6013e-02 NA -8.2656e-02 3.1528e-02 NA NA
Amatrix[14,21] 2.0547e-01 NA 1.0698e-01 3.1111e-01 NA NA
Amatrix[15,21] 6.0591e-02 NA -2.9492e-02 1.5057e-01 NA NA
Amatrix[16,21] 2.8893e-01 NA 1.8847e-01 4.0012e-01 NA NA
Amatrix[17,21] 5.3368e-01 NA 4.3712e-01 6.4106e-01 NA NA
Amatrix[18,21] 4.0564e-01 NA 2.8515e-01 5.3474e-01 NA NA
Amatrix[19,21] 5.2306e-01 NA 4.1425e-01 6.3724e-01 NA NA
Amatrix[20,21] 5.2497e-01 NA 4.3189e-01 6.3561e-01 NA NA
Smatrix[1,1] 9.6500e-01 NA -3.5532e+05 9.8956e-01 NA NA
Smatrix[2,2] 6.2459e-01 NA -6.3878e+05 9.9716e-01 NA NA
Smatrix[3,3] 9.7608e-01 NA 3.5907e-01 1.0000e+00 NA NA
Smatrix[4,4] 9.9901e-01 NA 8.3885e-01 1.0000e+00 NA NA
Smatrix[5,5] 9.7578e-01 NA 8.8537e-01 1.0000e+00 NA NA
Smatrix[6,6] 9.8933e-01 NA 6.6215e-01 1.0000e+00 NA NA
Smatrix[7,7] 9.7240e-01 NA 8.2788e-01 1.0000e+00 NA NA
Smatrix[8,8] 9.7062e-01 NA 5.2715e-01 1.0000e+00 NA NA
Smatrix[9,9] 7.4374e-01 NA -1.3243e+05 9.9958e-01 NA NA
Smatrix[10,10] 9.9992e-01 NA 9.9441e-01 1.0000e+00 NA NA
Smatrix[11,11] 9.7941e-01 NA 9.5860e-01 9.9277e-01 NA NA
Smatrix[12,12] 9.9917e-01 NA 9.9447e-01 1.0000e+00 NA NA
Smatrix[13,13] 9.9932e-01 NA 9.9317e-01 1.0000e+00 NA NA
Smatrix[14,14] 9.5778e-01 NA 9.0323e-01 9.8854e-01 NA NA
Smatrix[15,15] 9.9633e-01 NA 9.7734e-01 1.0000e+00 NA NA
Smatrix[16,16] 9.1652e-01 NA 8.3992e-01 9.6446e-01 NA NA
Smatrix[17,17] 7.1519e-01 NA 5.8900e-01 8.0892e-01 NA NA
Smatrix[18,18] 8.3545e-01 NA 7.1404e-01 9.1866e-01 NA NA
Smatrix[19,19] 7.2640e-01 NA 5.9388e-01 8.2838e-01 NA NA
Smatrix[20,20] 7.2441e-01 NA 5.9596e-01 8.1346e-01 NA NA
Smatrix[22,21] -2.3992e-02 NA -9.9001e-01 3.4132e-01 NA NA
Smatrix[23,21] 1.6811e-01 NA 2.8327e-03 1.1101e+04 NA NA
Smatrix[23,22] 3.0292e-01 NA -1.9473e-02 2.8923e+04 NA NA
Goodness-of-fit indices:
Value
Sample size 234655.0000
Chi-square of target model 390.1656
DF of target model 165.0000
p value of target model 0.0000
Number of constraints imposed on "Smatrix" 20.0000
DF manually adjusted 0.0000
Chi-square of independence model 748.8975
DF of independence model 190.0000
RMSEA 0.0024
SRMR 0.0614
TLI 0.5361
CFI 0.5971
AIC 60.1656
BIC -1650.2033
OpenMx status1: 0 ("0" or "1": The optimization is considered fine.
Other values indicate problems.)
> summary(random2c)
Call:
wls(Cov = pooledS, asyCov = asyCov, n = tssem1.obj$total.n, Amatrix = Amatrix,
Smatrix = Smatrix, Fmatrix = Fmatrix, diag.constraints = diag.constraints,
cor.analysis = cor.analysis, intervals.type = intervals.type,
mx.algebras = mx.algebras, model.name = model.name, suppressWarnings = suppressWarnings)
95% confidence intervals: z statistic approximation
Coefficients:
Estimate Std.Error lbound ubound z value Pr(>|z|)
Amatrix[1,21] 1.0310e-01 3.1824e-02 4.0723e-02 1.6547e-01 3.2396 0.001197 **
Amatrix[1,22] 1.1788e-01 8.5340e-02 -4.9385e-02 2.8514e-01 1.3813 0.167192
Amatrix[1,23] 6.4759e-02 1.0233e-01 -1.3581e-01 2.6533e-01 0.6328 0.526849
Amatrix[2,23] 6.1271e-01 3.0123e-01 2.2302e-02 1.2031e+00 2.0340 0.041952 *
Amatrix[3,23] 1.5465e-01 1.6211e-01 -1.6308e-01 4.7239e-01 0.9540 0.340089
Amatrix[4,23] -3.1432e-02 9.4254e-02 -2.1617e-01 1.5330e-01 -0.3335 0.738773
Amatrix[5,23] 1.5562e-01 8.3440e-02 -7.9147e-03 3.1916e-01 1.8651 0.062166 .
Amatrix[6,23] -1.0331e-01 1.0638e-01 -3.1182e-01 1.0519e-01 -0.9711 0.331483
Amatrix[7,22] 1.6614e-01 1.0095e-01 -3.1712e-02 3.6400e-01 1.6458 0.099800 .
Amatrix[8,22] 1.7140e-01 1.3014e-01 -8.3668e-02 4.2647e-01 1.3171 0.187820
Amatrix[9,22] -5.0622e-01 2.2967e-01 -9.5637e-01 -5.6078e-02 -2.2041 0.027515 *
Amatrix[10,21] -8.9803e-03 3.3684e-02 -7.5000e-02 5.7040e-02 -0.2666 0.789775
Amatrix[11,21] 1.4350e-01 3.0133e-02 8.4440e-02 2.0256e-01 4.7622 1.915e-06 ***
Amatrix[12,21] -2.8841e-02 2.3038e-02 -7.3995e-02 1.6313e-02 -1.2519 0.210612
Amatrix[13,21] -2.6013e-02 2.9038e-02 -8.2927e-02 3.0902e-02 -0.8958 0.370359
Amatrix[14,21] 2.0547e-01 5.1725e-02 1.0409e-01 3.0685e-01 3.9724 7.114e-05 ***
Amatrix[15,21] 6.0591e-02 4.5712e-02 -2.9003e-02 1.5019e-01 1.3255 0.185009
Amatrix[16,21] 2.8893e-01 5.3527e-02 1.8402e-01 3.9384e-01 5.3979 6.743e-08 ***
Amatrix[17,21] 5.3368e-01 5.1567e-02 4.3261e-01 6.3475e-01 10.3491 < 2.2e-16 ***
Amatrix[18,21] 4.0564e-01 6.3479e-02 2.8123e-01 5.3006e-01 6.3902 1.656e-10 ***
Amatrix[19,21] 5.2306e-01 5.6647e-02 4.1204e-01 6.3409e-01 9.2337 < 2.2e-16 ***
Amatrix[20,21] 5.2497e-01 5.1215e-02 4.2459e-01 6.2535e-01 10.2502 < 2.2e-16 ***
Smatrix[22,21] -2.3992e-02 7.2179e-02 -1.6546e-01 1.1748e-01 -0.3324 0.739591
Smatrix[23,21] 1.6811e-01 8.5785e-02 -2.6335e-05 3.3624e-01 1.9597 0.050036 .
Smatrix[23,22] 3.0292e-01 2.4028e-01 -1.6802e-01 7.7387e-01 1.2607 0.207413
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Goodness-of-fit indices:
Value
Sample size 234655.0000
Chi-square of target model 390.1656
DF of target model 165.0000
p value of target model 0.0000
Number of constraints imposed on "Smatrix" 0.0000
DF manually adjusted 0.0000
Chi-square of independence model 748.8975
DF of independence model 190.0000
RMSEA 0.0024
SRMR 0.0614
TLI 0.5361
CFI 0.5971
AIC 60.1656
BIC -1650.2033
OpenMx status1: 0 ("0" or "1": The optimization is considered fine.
Other values indicate problems.)
> save.image(file="rand116-20_stage2.RData")
>