Summary Method for net_gimme
Usage
# S3 method for class 'net_gimme'
summary(object, ...)Examples
# \donttest{
set.seed(1)
panel <- data.frame(
id = rep(1:5, each = 20),
t = rep(seq_len(20), 5),
A = rnorm(100), B = rnorm(100), C = rnorm(100)
)
gm <- build_gimme(panel, vars = c("A","B","C"), id = "id", time = "t")
summary(gm)
#> GIMME Network Analysis -- Summary
#> ========================================
#>
#> FIT INDICES (per subject)
#> ------------------------------
#> metric mean sd min max
#> RMSEA 0.107 0.1219 0.0000 0.279
#> SRMR 0.128 0.0345 0.0966 0.180
#> NNFI -0.598 1.5306 -3.3036 0.326
#> CFI 0.562 0.4528 0.0000 1.000
#>
#>
#> GROUP-LEVEL PATHS ( 0 )
#> ------------------------------
#> (none)
#>
#> AVERAGE TEMPORAL COEFFICIENTS
#> ------------------------------
#> A B C
#> A -0.008 0.000 0.000
#> B 0.000 -0.225 0.000
#> C 0.000 0.000 -0.175
#>
#> AVERAGE CONTEMPORANEOUS COEFFICIENTS
#> ------------------------------
#> A B C
#> A 0 0 0
#> B 0 0 0
#> C 0 0 0
#> metric mean sd min max
#> rmsea RMSEA 0.1068264 0.12190858 0.0000000 0.2788136
#> srmr SRMR 0.1283279 0.03446524 0.0965892 0.1800820
#> nnfi NNFI -0.5984831 1.53060293 -3.3035633 0.3257524
#> cfi CFI 0.5623161 0.45284579 0.0000000 1.0000000
# }