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Projected Mean

Source: R/ortensor.R
projected_mean.Rd

Eigenvector with largest eigenvalue of the orientation tensor

Usage

projected_mean(x, ...)

Arguments

x

either an object of class "Vec3", "Line", "Ray", "Plane", "Pair", or "Fault" where the rows are the observations and the columns are the coordinates, or an "ortensor" object.

...

additional arguments passed to ortensor() (ignored if x is "ortensor" object).

Value

Vector in coordinate system of x

References

Bachmann, F., Hielscher, R., Jupp, P. E., Pantleon, W., Schaeben, H., & Wegert, E. (2010). Inferential statistics of electron backscatter diffraction data from within individual crystalline grains. Journal of Applied Crystallography, 43(6), 1338–1355. https://doi.org/10.1107/S002188981003027X

See also

ot_eigen() for eigenvalues of orientation tensor, sph_mean() for arithmetic mean, geodesic_mean() for geodesic mean.

Examples

example_lines_df$quality
#>  [1]  3  3 NA NA NA NA  4  4  4  3  3  3  3  3  3  3  3  3  3  3  3  3 NA  5  3
#> [26] NA  5  5  5  5  5  5  5  5  5  3  3  3  5  5  5  5  5  5  5  5  5  5  5  5
#> [51]  5  5  5  5  5  5  5  5  5  5  5  5  5  5  5  5  5  5  5  5  5  5  5  5  5
#> [76]  5  5  5  5  5  3  3  3  5
projected_mean(example_lines, w = runif(nrow(example_lines)))
#> Line object (n = 1):
#>  azimuth   plunge 
#> 69.09796 14.82125