pathviewr (version 1.1.8)

calc_min_dist_v: Calculate minimum distance to lateral and end walls in a V-shaped experimental tunnel

Description

Calculate minimum distance to lateral and end walls in a V-shaped experimental tunnel

Usage

calc_min_dist_v(obj_name, simplify_output = TRUE)

Value

A tibble or data.frame with added variables for height_2_vertex, height_2_screen, width_2_screen_pos, width_2_screen_neg, min_dist_pos, min_dist_neg, min_dist_end, bound_pos, and bound_neg.

Arguments

obj_name

The input viewr object; a tibble or data.frame with attribute pathviewr_steps that includes "viewr" and treatments_added.

simplify_output

If TRUE, the returned object includes only the minimum distance between the subject and the lateral/end walls. If FALSE, the returned object includes all variables internal to the calculation.

Author

Eric R. Press

Details

For tunnels in which vertex_angle is >90 degree, bound_pos and bound_neg represent a planes orthogonal to the lateral walls and are used to modify min_dist_pos and min_dist_neg calculations to prevent erroneous outputs. calc_min_dist_v() assumes the subject locomotes facing forward, therefore min_dist_end represents the minimum distance between the subject and the end wall to which it is moving towards All outputs are in meters.

See Also

Other mathematical functions: deg_2_rad(), find_curve_elbow(), get_2d_angle(), get_3d_angle(), get_3d_cross_prod(), get_dist_point_line(), get_traj_velocities(), get_velocity(), rad_2_deg()

Examples

 ## Import sample data from package
motive_data <-
  read_motive_csv(system.file("extdata", "pathviewr_motive_example_data.csv",
                              package = 'pathviewr'))

 ## Process data up to and including insert_treatments()
motive_data_full <-
  motive_data %>%
  relabel_viewr_axes() %>%
  gather_tunnel_data() %>%
  trim_tunnel_outliers() %>%
  rotate_tunnel() %>%
  select_x_percent(desired_percent = 50) %>%
  separate_trajectories(max_frame_gap = "autodetect") %>%
  get_full_trajectories(span = 0.95) %>%
  insert_treatments(tunnel_config = "v",
                   perch_2_vertex = 0.4,
                   vertex_angle = 90,
                   tunnel_length = 2,
                   stim_param_lat_pos = 0.1,
                   stim_param_lat_neg = 0.1,
                   stim_param_end_pos = 0.3,
                   stim_param_end_neg = 0.3,
                   treatment = "lat10_end_30") %>%

 ## Now calculate the minimum distances to each wall
  calc_min_dist_v(simplify_output = TRUE)

  ## See 3 new variables for calculations to lateral and end walls
  names(motive_data_full)