Print a Summary of a Grouped Transition Network Analysis Model
Source:R/print.R
print.summary.group_tna.RdPrint a Summary of a Grouped Transition Network Analysis Model
Usage
# S3 method for class 'summary.group_tna'
print(x, ...)Arguments
- x
A
summary.group_tnaobject.- ...
Arguments passed to
print.summary.tna().
See also
Basic functions
build_model(),
hist.group_tna(),
hist.tna(),
plot.group_tna(),
plot.tna(),
plot_mosaic(),
plot_mosaic.group_tna(),
plot_mosaic.tna_data(),
prepare_data(),
print.group_tna(),
print.summary.tna(),
print.tna(),
print.tna_data(),
summary.group_tna(),
summary.tna(),
tna-package
Examples
model <- group_model(engagement_mmm)
print(summary(model))
#> metric:
#>
#> [1] "Node Count" "Edge Count"
#> [3] "Network Density" "Mean Distance"
#> [5] "Mean Out-Strength" "SD Out-Strength"
#> [7] "Mean In-Strength" "SD In-Strength"
#> [9] "Mean Out-Degree" "SD Out-Degree"
#> [11] "Centralization (Out-Degree)" "Centralization (In-Degree)"
#> [13] "Reciprocity"
#>
#> Cluster 1:
#>
#> [1] 3.000000e+00 8.000000e+00 1.000000e+00 2.859459e-01 1.000000e+00
#> [6] 6.310516e-01 1.000000e+00 7.850462e-17 2.666667e+00 5.773503e-01
#> [11] 2.500000e-01 2.500000e-01 8.000000e-01
#>
#> Cluster 2:
#>
#> [1] 3.0000000 9.0000000 1.0000000 0.3046948 1.0000000 0.6891528 1.0000000
#> [8] 0.0000000 3.0000000 0.0000000 0.0000000 0.0000000 1.0000000
#>
#> Cluster 3:
#>
#> [1] 3.0000000 9.0000000 1.0000000 0.2666290 1.0000000 0.5837826 1.0000000
#> [8] 0.0000000 3.0000000 0.0000000 0.0000000 0.0000000 1.0000000