Transformation matrix, 2D or 3D depending on data and transformation type
Source:R/transformation_matrix.R
transformation_matrix.Rd
Transformation matrix, 2D or 3D depending on data and transformation type
Arguments
- object
tridim_transformation object
- summary
Whether summary statistics should be returned instead of raw sample values. Defaults to
TRUE
Examples
euc2 <- fit_transformation(depV1+depV2~indepV1+indepV2,
data = NakayaData,
transformation = 'euclidean')
#>
#> SAMPLING FOR MODEL 'tridim_transformation' NOW (CHAIN 1).
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#> Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0 seconds.
#> Chain 1: Adjust your expectations accordingly!
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#> Chain 1:
#> Chain 1: Elapsed Time: 0.119 seconds (Warm-up)
#> Chain 1: 0.111 seconds (Sampling)
#> Chain 1: 0.23 seconds (Total)
#> Chain 1:
transformation_matrix(euc2)
#> [,1] [,2] [,3]
#> [1,] 1.3460547 -0.5698607 0.14297655
#> [2,] 0.5698607 1.3460547 -0.01113589
#> [3,] 0.0000000 0.0000000 1.00000000