View source: R/anatomicalmassprop.R
orient_feather | R Documentation |
Code that returns the orientation of each primary and secondary feather on the wing.
orient_feather(no_pri, no_sec, Pt1, Pt2, Pt3, Pt4, Pt8, Pt9, Pt10, Pt11, Pt12)
no_pri |
a scalar representing the amount of primary feathers. |
no_sec |
a scalar representing the amount of secondary feathers. |
Pt1 |
a 1x3 vector (x,y,z) representing the point on the shoulder joint (m). |
Pt2 |
a 1x3 vector (x,y,z) representing the point on the elbow joint (m). |
Pt3 |
a 1x3 vector (x,y,z) representing the point on the wrist joint (m). |
Pt4 |
a 1x3 vector (x,y,z) representing the point on the end of carpometacarpus (m). |
Pt8 |
a 1x3 vector (x,y,z) representing the point on tip of most distal primary (m). |
Pt9 |
a 1x3 vector (x,y,z) representing the point on the tip of the last primary to model as if it is on the end of the carpometacarpus (m). |
Pt10 |
1x3 vector (x,y,z) representing the point on tip of last primary to model as if it was distributed along the carpometacarpus (m). Usually the first secondary feather tip. |
Pt11 |
1x3 vector (x,y,z) representing the point on tip of most proximal secondary feather (m). |
Pt12 |
1x3 vector (x,y,z) representing the point on exterior shoulder position (wing root leading edge) (m). |
a list called "feather". This contains three matrices.
"loc_start" a matrix defining the 3D point where each feather starts. Rows are the different feathers and columns are x, y, z coordinates respectively.
"loc_end" a matrix defining the 3D point where each feather end. Rows are the different feathers and columns are x, y, z coordinates respectively.
"normal" a matrix that gives the vector that defines the normal to each feather plane. Rows are the different feathers and columns are x, y, z vector directions respectively.
Christina Harvey
# refer to the vignette library(AvInertia) # load data data(dat_id_curr, package = "AvInertia") data(dat_bird_curr, package = "AvInertia") data(dat_feat_curr, package = "AvInertia") data(dat_bone_curr, package = "AvInertia") data(dat_mat, package = "AvInertia") data(clean_pts, package = "AvInertia") # 1. Determine the center of gravity of the bird's torso (including the legs) dat_torsotail_out = massprop_restbody(dat_id_curr, dat_bird_curr) # 2. Calculate the inertia of the flight feathers about the tip of the calamus feather_inertia <- compute_feat_inertia(dat_mat, dat_feat_curr, dat_bird_curr) # 3. Determine the center of gravity of one of the bird's wings dat_wing_out = massprop_birdwing(dat_id_curr, dat_bird_curr, dat_bone_curr, dat_feat_curr, dat_mat, clean_pts, feather_inertia, plot_var = 0) # Visualize the center of gravity of each wing component in the x and y axis dat_wing_out = massprop_birdwing(dat_id_curr, dat_bird_curr, dat_bone_curr, dat_feat_curr, dat_mat, clean_pts, feather_inertia, plot_var = "yx") # or the y and z axis dat_wing_out = massprop_birdwing(dat_id_curr, dat_bird_curr, dat_bone_curr, dat_feat_curr, dat_mat, clean_pts, feather_inertia, plot_var = "yz") # 4. Combine all data and obtain the center of gravity, moment of inertia # and principal axes of the bird curr_full_bird = combine_inertialprop(dat_torsotail_out,dat_wing_out, dat_wing_out, dat_id_curr, dat_bird_curr, symmetric=TRUE)
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