Obtain factor scores and related definition variables from a lavaan object for 2S-PA analyses.
augment_lav_predict.RdThis function obtained the factor scores, standard errors,
loading matrix, and variance covariance matrix by calling
the lavaan::lavPredict() function.
Usage
augment_lav_predict(
lavobj,
method = c("regression", "Bartlett"),
drop_list_single = TRUE,
...
)Arguments
- lavobj
A fitted
lavaan::lavaanobject- method
A character string indicating the scoring method to use. Must be either
"regression"or"Bartlett".- drop_list_single
logical. Should the results be unlisted for single-group models?
- ...
Additional arguments passed to
lavaan::lavPredict()
Value
A data.frame containing the factor scores, the corresponding
standard errors, the loadings and cross-loadings of the factor
scores as indicators of the latent variables, the
error variance-covariance matrix of the factor scores,
and the measurement intercepts.
In addition, three character matrices are added as attributes
that can be used as input to tspa_mx_model():
ld: cross-loading matrixev: error variance-covariance matrixint: measurement intercepts
Examples
library(lavaan)
#> This is lavaan 0.6-18
#> lavaan is FREE software! Please report any bugs.
hs_model <- ' visual =~ x1 + x2 + x3 '
fit <- cfa(hs_model,
data = HolzingerSwineford1939,
group = "school")
augment_lav_predict(fit)
#> $Pasteur
#> fs_visual se_fs_visual visual_by_fs_visual ev_fs_visual int_fs_visual
#> 1 -0.821165191 0.3391326 0.6734826 0.1150109 0
#> 2 -0.124009418 0.3391326 0.6734826 0.1150109 0
#> 3 -0.370072089 0.3391326 0.6734826 0.1150109 0
#> 4 0.440928618 0.3391326 0.6734826 0.1150109 0
#> 5 -0.691389016 0.3391326 0.6734826 0.1150109 0
#> 6 -0.110032619 0.3391326 0.6734826 0.1150109 0
#> 7 -0.904127845 0.3391326 0.6734826 0.1150109 0
#> 8 -0.031747573 0.3391326 0.6734826 0.1150109 0
#> 9 -0.439478981 0.3391326 0.6734826 0.1150109 0
#> 10 -0.938939050 0.3391326 0.6734826 0.1150109 0
#> 11 -0.436821880 0.3391326 0.6734826 0.1150109 0
#> 12 0.305033497 0.3391326 0.6734826 0.1150109 0
#> 13 0.522076263 0.3391326 0.6734826 0.1150109 0
#> 14 -0.090367931 0.3391326 0.6734826 0.1150109 0
#> 15 0.526276771 0.3391326 0.6734826 0.1150109 0
#> 16 -0.226580678 0.3391326 0.6734826 0.1150109 0
#> 17 -0.582016192 0.3391326 0.6734826 0.1150109 0
#> 18 0.017040431 0.3391326 0.6734826 0.1150109 0
#> 19 0.563052459 0.3391326 0.6734826 0.1150109 0
#> 20 0.746621910 0.3391326 0.6734826 0.1150109 0
#> 21 0.234672405 0.3391326 0.6734826 0.1150109 0
#> 22 1.157487518 0.3391326 0.6734826 0.1150109 0
#> 23 -0.162272449 0.3391326 0.6734826 0.1150109 0
#> 24 -0.556027059 0.3391326 0.6734826 0.1150109 0
#> 25 -0.321443540 0.3391326 0.6734826 0.1150109 0
#> 26 0.153141050 0.3391326 0.6734826 0.1150109 0
#> 27 0.696234416 0.3391326 0.6734826 0.1150109 0
#> 28 -0.020961039 0.3391326 0.6734826 0.1150109 0
#> 29 0.532601236 0.3391326 0.6734826 0.1150109 0
#> 30 -0.727687585 0.3391326 0.6734826 0.1150109 0
#> 31 -0.676719580 0.3391326 0.6734826 0.1150109 0
#> 32 -1.120216393 0.3391326 0.6734826 0.1150109 0
#> 33 -0.313631732 0.3391326 0.6734826 0.1150109 0
#> 34 -0.187091845 0.3391326 0.6734826 0.1150109 0
#> 35 -0.887709484 0.3391326 0.6734826 0.1150109 0
#> 36 -0.760795908 0.3391326 0.6734826 0.1150109 0
#> 37 0.556943532 0.3391326 0.6734826 0.1150109 0
#> 38 -0.458666570 0.3391326 0.6734826 0.1150109 0
#> 39 0.514741536 0.3391326 0.6734826 0.1150109 0
#> 40 0.373009089 0.3391326 0.6734826 0.1150109 0
#> 41 -0.528550562 0.3391326 0.6734826 0.1150109 0
#> 42 -0.865864795 0.3391326 0.6734826 0.1150109 0
#> 43 -1.182344640 0.3391326 0.6734826 0.1150109 0
#> 44 -0.435334517 0.3391326 0.6734826 0.1150109 0
#> 45 0.306520860 0.3391326 0.6734826 0.1150109 0
#> 46 0.821604565 0.3391326 0.6734826 0.1150109 0
#> 47 1.213927875 0.3391326 0.6734826 0.1150109 0
#> 48 -0.851887996 0.3391326 0.6734826 0.1150109 0
#> 49 -0.085053749 0.3391326 0.6734826 0.1150109 0
#> 50 -0.508885873 0.3391326 0.6734826 0.1150109 0
#> 51 0.502467638 0.3391326 0.6734826 0.1150109 0
#> 52 0.284732253 0.3391326 0.6734826 0.1150109 0
#> 53 0.202677755 0.3391326 0.6734826 0.1150109 0
#> 54 -0.335953502 0.3391326 0.6734826 0.1150109 0
#> 55 0.556410369 0.3391326 0.6734826 0.1150109 0
#> 56 -0.058746970 0.3391326 0.6734826 0.1150109 0
#> 57 -0.066932487 0.3391326 0.6734826 0.1150109 0
#> 58 0.554230368 0.3391326 0.6734826 0.1150109 0
#> 59 -0.321761185 0.3391326 0.6734826 0.1150109 0
#> 60 -0.421834819 0.3391326 0.6734826 0.1150109 0
#> 61 0.345476529 0.3391326 0.6734826 0.1150109 0
#> 62 0.194809883 0.3391326 0.6734826 0.1150109 0
#> 63 -0.207870208 0.3391326 0.6734826 0.1150109 0
#> 64 -0.441658981 0.3391326 0.6734826 0.1150109 0
#> 65 0.102070958 0.3391326 0.6734826 0.1150109 0
#> 66 0.311198487 0.3391326 0.6734826 0.1150109 0
#> 67 0.676364229 0.3391326 0.6734826 0.1150109 0
#> 68 0.297858262 0.3391326 0.6734826 0.1150109 0
#> 69 -1.055487128 0.3391326 0.6734826 0.1150109 0
#> 70 -0.737997019 0.3391326 0.6734826 0.1150109 0
#> 71 -1.576099236 0.3391326 0.6734826 0.1150109 0
#> 72 0.534360181 0.3391326 0.6734826 0.1150109 0
#> 73 -0.105888156 0.3391326 0.6734826 0.1150109 0
#> 74 0.266237302 0.3391326 0.6734826 0.1150109 0
#> 75 -0.352427927 0.3391326 0.6734826 0.1150109 0
#> 76 -0.334783784 0.3391326 0.6734826 0.1150109 0
#> 77 0.133588508 0.3391326 0.6734826 0.1150109 0
#> 78 -1.035662965 0.3391326 0.6734826 0.1150109 0
#> 79 0.762507108 0.3391326 0.6734826 0.1150109 0
#> 80 -0.260699265 0.3391326 0.6734826 0.1150109 0
#> 81 -0.329095893 0.3391326 0.6734826 0.1150109 0
#> 82 0.752413211 0.3391326 0.6734826 0.1150109 0
#> 83 0.149268188 0.3391326 0.6734826 0.1150109 0
#> 84 -0.208880471 0.3391326 0.6734826 0.1150109 0
#> 85 -1.078285998 0.3391326 0.6734826 0.1150109 0
#> 86 0.306043760 0.3391326 0.6734826 0.1150109 0
#> 87 0.349677056 0.3391326 0.6734826 0.1150109 0
#> 88 0.165686549 0.3391326 0.6734826 0.1150109 0
#> 89 0.077307606 0.3391326 0.6734826 0.1150109 0
#> 90 -0.077401396 0.3391326 0.6734826 0.1150109 0
#> 91 -0.081863485 0.3391326 0.6734826 0.1150109 0
#> 92 0.106748566 0.3391326 0.6734826 0.1150109 0
#> 93 -0.211593616 0.3391326 0.6734826 0.1150109 0
#> 94 -0.926665153 0.3391326 0.6734826 0.1150109 0
#> 95 -0.739484382 0.3391326 0.6734826 0.1150109 0
#> 96 0.570387167 0.3391326 0.6734826 0.1150109 0
#> 97 -0.913642554 0.3391326 0.6734826 0.1150109 0
#> 98 0.547484887 0.3391326 0.6734826 0.1150109 0
#> 99 -0.602850599 0.3391326 0.6734826 0.1150109 0
#> 100 0.225794270 0.3391326 0.6734826 0.1150109 0
#> 101 0.620447015 0.3391326 0.6734826 0.1150109 0
#> 102 0.158885005 0.3391326 0.6734826 0.1150109 0
#> 103 -0.127938344 0.3391326 0.6734826 0.1150109 0
#> 104 -0.420347455 0.3391326 0.6734826 0.1150109 0
#> 105 1.327978307 0.3391326 0.6734826 0.1150109 0
#> 106 0.181843348 0.3391326 0.6734826 0.1150109 0
#> 107 -0.148932224 0.3391326 0.6734826 0.1150109 0
#> 108 0.612373626 0.3391326 0.6734826 0.1150109 0
#> 109 -0.066558798 0.3391326 0.6734826 0.1150109 0
#> 110 -0.420880619 0.3391326 0.6734826 0.1150109 0
#> 111 1.127036295 0.3391326 0.6734826 0.1150109 0
#> 112 0.237591068 0.3391326 0.6734826 0.1150109 0
#> 113 0.853758689 0.3391326 0.6734826 0.1150109 0
#> 114 -0.143618023 0.3391326 0.6734826 0.1150109 0
#> 115 0.475206679 0.3391326 0.6734826 0.1150109 0
#> 116 -0.670554590 0.3391326 0.6734826 0.1150109 0
#> 117 0.022672257 0.3391326 0.6734826 0.1150109 0
#> 118 0.302002707 0.3391326 0.6734826 0.1150109 0
#> 119 0.151392125 0.3391326 0.6734826 0.1150109 0
#> 120 -0.475300449 0.3391326 0.6734826 0.1150109 0
#> 121 -0.346740056 0.3391326 0.6734826 0.1150109 0
#> 122 -0.078888759 0.3391326 0.6734826 0.1150109 0
#> 123 1.197237913 0.3391326 0.6734826 0.1150109 0
#> 124 0.539243306 0.3391326 0.6734826 0.1150109 0
#> 125 0.867258388 0.3391326 0.6734826 0.1150109 0
#> 126 0.592287901 0.3391326 0.6734826 0.1150109 0
#> 127 -0.500540901 0.3391326 0.6734826 0.1150109 0
#> 128 -0.361193954 0.3391326 0.6734826 0.1150109 0
#> 129 0.626883588 0.3391326 0.6734826 0.1150109 0
#> 130 -0.437514518 0.3391326 0.6734826 0.1150109 0
#> 131 0.695972854 0.3391326 0.6734826 0.1150109 0
#> 132 0.424715775 0.3391326 0.6734826 0.1150109 0
#> 133 -0.203725744 0.3391326 0.6734826 0.1150109 0
#> 134 -0.441499507 0.3391326 0.6734826 0.1150109 0
#> 135 0.735619838 0.3391326 0.6734826 0.1150109 0
#> 136 0.783874697 0.3391326 0.6734826 0.1150109 0
#> 137 0.565709540 0.3391326 0.6734826 0.1150109 0
#> 138 0.258425494 0.3391326 0.6734826 0.1150109 0
#> 139 0.861093397 0.3391326 0.6734826 0.1150109 0
#> 140 -0.059757233 0.3391326 0.6734826 0.1150109 0
#> 141 -0.920340689 0.3391326 0.6734826 0.1150109 0
#> 142 0.845629236 0.3391326 0.6734826 0.1150109 0
#> 143 1.227427574 0.3391326 0.6734826 0.1150109 0
#> 144 1.054223601 0.3391326 0.6734826 0.1150109 0
#> 145 -1.246596805 0.3391326 0.6734826 0.1150109 0
#> 146 -0.473120468 0.3391326 0.6734826 0.1150109 0
#> 147 -0.560171503 0.3391326 0.6734826 0.1150109 0
#> 148 -0.365394462 0.3391326 0.6734826 0.1150109 0
#> 149 0.084744422 0.3391326 0.6734826 0.1150109 0
#> 150 0.910676146 0.3391326 0.6734826 0.1150109 0
#> 151 1.094189533 0.3391326 0.6734826 0.1150109 0
#> 152 -0.013149231 0.3391326 0.6734826 0.1150109 0
#> 153 -0.166472976 0.3391326 0.6734826 0.1150109 0
#> 154 0.008695459 0.3391326 0.6734826 0.1150109 0
#> 155 -0.094989494 0.3391326 0.6734826 0.1150109 0
#> 156 -0.457123143 0.3391326 0.6734826 0.1150109 0
#>
#> $`Grant-White`
#> fs_visual se_fs_visual visual_by_fs_visual ev_fs_visual int_fs_visual
#> 1 -0.915287109 0.311828 0.6990509 0.09723667 0
#> 2 0.035963597 0.311828 0.6990509 0.09723667 0
#> 3 0.355636604 0.311828 0.6990509 0.09723667 0
#> 4 -0.387353871 0.311828 0.6990509 0.09723667 0
#> 5 -0.622393942 0.311828 0.6990509 0.09723667 0
#> 6 0.195944561 0.311828 0.6990509 0.09723667 0
#> 7 1.353023831 0.311828 0.6990509 0.09723667 0
#> 8 -0.341506254 0.311828 0.6990509 0.09723667 0
#> 9 -0.199493575 0.311828 0.6990509 0.09723667 0
#> 10 -0.689869149 0.311828 0.6990509 0.09723667 0
#> 11 -0.463929554 0.311828 0.6990509 0.09723667 0
#> 12 -0.423001505 0.311828 0.6990509 0.09723667 0
#> 13 0.279743296 0.311828 0.6990509 0.09723667 0
#> 14 -0.916908219 0.311828 0.6990509 0.09723667 0
#> 15 0.589344501 0.311828 0.6990509 0.09723667 0
#> 16 0.191474701 0.311828 0.6990509 0.09723667 0
#> 17 0.935275715 0.311828 0.6990509 0.09723667 0
#> 18 0.393715904 0.311828 0.6990509 0.09723667 0
#> 19 0.086569994 0.311828 0.6990509 0.09723667 0
#> 20 0.555606898 0.311828 0.6990509 0.09723667 0
#> 21 -0.558217193 0.311828 0.6990509 0.09723667 0
#> 22 0.766715894 0.311828 0.6990509 0.09723667 0
#> 23 0.115548801 0.311828 0.6990509 0.09723667 0
#> 24 0.901249191 0.311828 0.6990509 0.09723667 0
#> 25 0.174316971 0.311828 0.6990509 0.09723667 0
#> 26 -0.078980322 0.311828 0.6990509 0.09723667 0
#> 27 -0.581882977 0.311828 0.6990509 0.09723667 0
#> 28 -0.661179262 0.311828 0.6990509 0.09723667 0
#> 29 -0.245341176 0.311828 0.6990509 0.09723667 0
#> 30 -0.195801662 0.311828 0.6990509 0.09723667 0
#> 31 -0.281221524 0.311828 0.6990509 0.09723667 0
#> 32 -0.293909378 0.311828 0.6990509 0.09723667 0
#> 33 -0.604192958 0.311828 0.6990509 0.09723667 0
#> 34 -0.738437335 0.311828 0.6990509 0.09723667 0
#> 35 -0.304109345 0.311828 0.6990509 0.09723667 0
#> 36 0.104931733 0.311828 0.6990509 0.09723667 0
#> 37 -0.025781487 0.311828 0.6990509 0.09723667 0
#> 38 -0.897318824 0.311828 0.6990509 0.09723667 0
#> 39 -0.892560027 0.311828 0.6990509 0.09723667 0
#> 40 -0.078402465 0.311828 0.6990509 0.09723667 0
#> 41 -0.379063934 0.311828 0.6990509 0.09723667 0
#> 42 -0.324926380 0.311828 0.6990509 0.09723667 0
#> 43 -0.684299797 0.311828 0.6990509 0.09723667 0
#> 44 -0.304109345 0.311828 0.6990509 0.09723667 0
#> 45 0.622793169 0.311828 0.6990509 0.09723667 0
#> 46 -0.152835419 0.311828 0.6990509 0.09723667 0
#> 47 -0.421902013 0.311828 0.6990509 0.09723667 0
#> 48 -0.060883872 0.311828 0.6990509 0.09723667 0
#> 49 -0.303298790 0.311828 0.6990509 0.09723667 0
#> 50 0.425021826 0.311828 0.6990509 0.09723667 0
#> 51 0.131478875 0.311828 0.6990509 0.09723667 0
#> 52 -0.914998172 0.311828 0.6990509 0.09723667 0
#> 53 0.324226132 0.311828 0.6990509 0.09723667 0
#> 54 -0.086170767 0.311828 0.6990509 0.09723667 0
#> 55 0.428424818 0.311828 0.6990509 0.09723667 0
#> 56 0.188465179 0.311828 0.6990509 0.09723667 0
#> 57 -0.306958111 0.311828 0.6990509 0.09723667 0
#> 58 0.581736955 0.311828 0.6990509 0.09723667 0
#> 59 -0.743485051 0.311828 0.6990509 0.09723667 0
#> 60 0.263580524 0.311828 0.6990509 0.09723667 0
#> 61 0.178786831 0.311828 0.6990509 0.09723667 0
#> 62 -0.064832113 0.311828 0.6990509 0.09723667 0
#> 63 0.499976414 0.311828 0.6990509 0.09723667 0
#> 64 -0.092839593 0.311828 0.6990509 0.09723667 0
#> 65 -0.263702931 0.311828 0.6990509 0.09723667 0
#> 66 -0.983966325 0.311828 0.6990509 0.09723667 0
#> 67 1.434912536 0.311828 0.6990509 0.09723667 0
#> 68 -1.037582228 0.311828 0.6990509 0.09723667 0
#> 69 -0.047569849 0.311828 0.6990509 0.09723667 0
#> 70 1.084767775 0.311828 0.6990509 0.09723667 0
#> 71 0.092011181 0.311828 0.6990509 0.09723667 0
#> 72 -0.562687052 0.311828 0.6990509 0.09723667 0
#> 73 -0.304919900 0.311828 0.6990509 0.09723667 0
#> 74 1.038920175 0.311828 0.6990509 0.09723667 0
#> 75 -0.789854287 0.311828 0.6990509 0.09723667 0
#> 76 -0.602282928 0.311828 0.6990509 0.09723667 0
#> 77 -0.894630830 0.311828 0.6990509 0.09723667 0
#> 78 0.532614527 0.311828 0.6990509 0.09723667 0
#> 79 -0.548955945 0.311828 0.6990509 0.09723667 0
#> 80 -0.221514635 0.311828 0.6990509 0.09723667 0
#> 81 -0.095849115 0.311828 0.6990509 0.09723667 0
#> 82 -0.122235502 0.311828 0.6990509 0.09723667 0
#> 83 0.892276864 0.311828 0.6990509 0.09723667 0
#> 84 0.328439663 0.311828 0.6990509 0.09723667 0
#> 85 1.217391042 0.311828 0.6990509 0.09723667 0
#> 86 0.574513902 0.311828 0.6990509 0.09723667 0
#> 87 0.160168762 0.311828 0.6990509 0.09723667 0
#> 88 0.654909662 0.311828 0.6990509 0.09723667 0
#> 89 -0.509777155 0.311828 0.6990509 0.09723667 0
#> 90 1.201493560 0.311828 0.6990509 0.09723667 0
#> 91 0.584874625 0.311828 0.6990509 0.09723667 0
#> 92 0.075142371 0.311828 0.6990509 0.09723667 0
#> 93 0.550976266 0.311828 0.6990509 0.09723667 0
#> 94 -0.886308302 0.311828 0.6990509 0.09723667 0
#> 95 0.552075757 0.311828 0.6990509 0.09723667 0
#> 96 1.415972940 0.311828 0.6990509 0.09723667 0
#> 97 0.298650301 0.311828 0.6990509 0.09723667 0
#> 98 -0.143028906 0.311828 0.6990509 0.09723667 0
#> 99 0.245195154 0.311828 0.6990509 0.09723667 0
#> 100 0.247072593 0.311828 0.6990509 0.09723667 0
#> 101 0.817322291 0.311828 0.6990509 0.09723667 0
#> 102 0.651771976 0.311828 0.6990509 0.09723667 0
#> 103 1.338875623 0.311828 0.6990509 0.09723667 0
#> 104 -1.160005528 0.311828 0.6990509 0.09723667 0
#> 105 0.163306449 0.311828 0.6990509 0.09723667 0
#> 106 -0.387353871 0.311828 0.6990509 0.09723667 0
#> 107 -0.517128372 0.311828 0.6990509 0.09723667 0
#> 108 0.065103160 0.311828 0.6990509 0.09723667 0
#> 109 -0.115438510 0.311828 0.6990509 0.09723667 0
#> 110 0.094049376 0.311828 0.6990509 0.09723667 0
#> 111 0.396725409 0.311828 0.6990509 0.09723667 0
#> 112 0.672356312 0.311828 0.6990509 0.09723667 0
#> 113 1.165974090 0.311828 0.6990509 0.09723667 0
#> 114 -0.483518949 0.311828 0.6990509 0.09723667 0
#> 115 0.035024877 0.311828 0.6990509 0.09723667 0
#> 116 0.741974248 0.311828 0.6990509 0.09723667 0
#> 117 -0.170386603 0.311828 0.6990509 0.09723667 0
#> 118 -0.205873481 0.311828 0.6990509 0.09723667 0
#> 119 0.714777307 0.311828 0.6990509 0.09723667 0
#> 120 -0.620772831 0.311828 0.6990509 0.09723667 0
#> 121 -0.313626938 0.311828 0.6990509 0.09723667 0
#> 122 -0.157466035 0.311828 0.6990509 0.09723667 0
#> 123 0.118269386 0.311828 0.6990509 0.09723667 0
#> 124 0.101111673 0.311828 0.6990509 0.09723667 0
#> 125 -0.625403463 0.311828 0.6990509 0.09723667 0
#> 126 0.486638761 0.311828 0.6990509 0.09723667 0
#> 127 -0.178676540 0.311828 0.6990509 0.09723667 0
#> 128 0.274013189 0.311828 0.6990509 0.09723667 0
#> 129 -0.316347523 0.311828 0.6990509 0.09723667 0
#> 130 -0.026752814 0.311828 0.6990509 0.09723667 0
#> 131 0.245323318 0.311828 0.6990509 0.09723667 0
#> 132 -0.356336853 0.311828 0.6990509 0.09723667 0
#> 133 -0.581594057 0.311828 0.6990509 0.09723667 0
#> 134 0.263002667 0.311828 0.6990509 0.09723667 0
#> 135 -0.864680712 0.311828 0.6990509 0.09723667 0
#> 136 -0.377964443 0.311828 0.6990509 0.09723667 0
#> 137 -0.112717909 0.311828 0.6990509 0.09723667 0
#> 138 0.114449326 0.311828 0.6990509 0.09723667 0
#> 139 0.001287274 0.311828 0.6990509 0.09723667 0
#> 140 0.597634438 0.311828 0.6990509 0.09723667 0
#> 141 -0.252531637 0.311828 0.6990509 0.09723667 0
#> 142 -0.472901881 0.311828 0.6990509 0.09723667 0
#> 143 -0.187255397 0.311828 0.6990509 0.09723667 0
#> 144 -0.542415283 0.311828 0.6990509 0.09723667 0
#> 145 0.358774274 0.311828 0.6990509 0.09723667 0
#>
#> attr(,"ld")
#> visual
#> fs_visual "visual_by_fs_visual"
#> attr(,"ev")
#> fs_visual
#> fs_visual "ev_fs_visual"
#> attr(,"int")
#> [1] "int_fs_visual"