centroid_3d_sq_dist: Calculate sum of squared 3D point distances from centroid
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View source: R/centroid_3d_sq_dist.R
centroid_3d_sq_dist R Documentation
Calculate sum of squared 3D point distances from centroid
Description
Calculates sum of squared point distances in
3D space betweeen points and their centroid.
\frac{
\sum_{i=1}^n (x_i-x_m)^2 + (y_i-y_m)^2 + (z-z_m)^2
}{
sum_(i=1)^n ((x - x_m)^2 + (y - y_m)^2 + (z - z_m)^2)
}
Where X/Y/Z represent one axis each, a_m represents the mean
of all points' coordinates on an axis, and n represents the total
number of points.
Usage
centroid_3d_sq_dist(point_matrix)
Arguments
point_matrix
An n-by-3 numerical matrix where each
row corresponds to a single point in 3D space.
synr documentation built on June 22, 2024, 7:25 p.m.
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View source: R/centroid_3d_sq_dist.R
| centroid_3d_sq_dist | R Documentation |
Calculate sum of squared 3D point distances from centroid
Description
Calculates sum of squared point distances in 3D space betweeen points and their centroid.
\frac{
\sum_{i=1}^n (x_i-x_m)^2 + (y_i-y_m)^2 + (z-z_m)^2
}{
sum_(i=1)^n ((x - x_m)^2 + (y - y_m)^2 + (z - z_m)^2)
}
Where X/Y/Z represent one axis each, a_m represents the mean
of all points' coordinates on an axis, and n represents the total
number of points.
Usage
centroid_3d_sq_dist(point_matrix)
Arguments
point_matrix |
An n-by-3 numerical matrix where each row corresponds to a single point in 3D space. |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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