get_vis_angle {pathviewr} | R Documentation |
Estimate visual angles from a subject's perspective in an experimental tunnel
Description
Estimate visual angles from a subject's perspective in an experimental tunnel
Usage
get_vis_angle(obj_name)
Arguments
obj_name |
The input viewr object; a tibble or data.frame with
attributes |
Details
get_vis_angle()
assumes the following:
The subject's gaze is fixed at the point on the either side of the tunnel that minimizes the distance to visual stimuli and therefore maximizes visual angles.
The subject's head is facing parallel to the length axis of the tunnel. Visual perception functions in future versions of pathviewr will integrate head orientation coordinates. Angles are reported in radians/cycle (
vis_angle_pos_rad
) and degrees/cycle (vis_angle_pos_deg
).
Value
A tibble or data.frame with added variables for
vis_angle_pos_rad
, vis_angle_pos_deg
,
vis_angle_neg_rad
, vos_angle_neg_deg
,
vis_angle_end_rad
, and vis_angle_end_deg
.
Author(s)
Eric R. Press
See Also
Other visual perception functions:
calc_min_dist_box()
,
get_sf()
Examples
## Import sample data from package
motive_data <-
read_motive_csv(system.file("extdata", "pathviewr_motive_example_data.csv",
package = 'pathviewr'))
flydra_data <-
read_flydra_mat(system.file("extdata", "pathviewr_flydra_example_data.mat",
package = 'pathviewr'),
subject_name = "birdie_sanders")
## Process data up to and including get_min_dist()
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") %>%
calc_min_dist_v(simplify_output = TRUE) %>%
## Now calculate the visual angles
get_vis_angle()
flydra_data_full <-
flydra_data %>%
redefine_tunnel_center(length_method = "middle",
height_method = "user-defined",
height_zero = 1.44) %>%
select_x_percent(desired_percent = 50) %>%
separate_trajectories(max_frame_gap = "autodetect") %>%
get_full_trajectories(span = 0.95) %>%
insert_treatments(tunnel_config = "box",
tunnel_length = 3,
tunnel_width = 1,
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") %>%
calc_min_dist_box() %>%
## Now calculate the visual angles
get_vis_angle()