View source: R/analytical_functions.R
get_sf | R Documentation |
Estimate the spatial frequency of visual stimuli from the subject's perspective in an experimental tunnel.
get_sf(obj_name)
obj_name |
The input viewr object; a tibble or data.frame with attribute
|
get_sf()
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. Spatial frequency is reported in cycles/degree and is the inverse of visual angle (degrees/cycle).
A tibble or data.frame with added variables for
sf_pos
, sf_neg
, and sf_end
.
angle.
Eric R. Press
Other visual perception functions:
calc_min_dist_box()
,
get_vis_angle()
## 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_vis_angle()
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) %>%
get_vis_angle() %>%
## Now calculate the spatial frequencies
get_sf()
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() %>%
get_vis_angle() %>%
## Now calculate the spatial frequencies
get_sf()
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