
"Center" the tunnel data, i.e. translation but no rotation
Source:R/utility_functions.R
redefine_tunnel_center.RdRedefine the center (0, 0, 0,) of the tunnel data via translating
positions along axes.
Usage
redefine_tunnel_center(
obj_name,
axes = c("position_length", "position_width", "position_height"),
length_method = c("original", "middle", "median", "user-defined"),
width_method = c("original", "middle", "median", "user-defined"),
height_method = c("original", "middle", "median", "user-defined"),
length_zero = NA,
width_zero = NA,
height_zero = NA,
...
)Arguments
- obj_name
The input viewr object; a tibble or data.frame with attribute
pathviewr_stepsthat includes"viewr"- axes
Names of axes to be centered
- length_method
Method for length
- width_method
Method for width
- height_method
Method for height
- length_zero
User-defined value
- width_zero
User-defined value
- height_zero
User-defined value
- ...
Additional arguments passed to/from other pathviewr functions
Value
A viewr object (tibble or data.frame with attribute
pathviewr_steps that includes "viewr") in which data have
been translated according to the user's inputs, generally with (0, 0,
0,) being relocated to the center of the tunnel.
Details
For each _method argument, there are four choices of how centering is
handled: 1) "original" keeps axis as is – this is how width and (possibly)
height should be handled for flydra data; 2) "middle" is the middle of the
range of data: (min + max) / 2; 3) "median" is the median value of data on
that axis. Probably not recommended; and 4) "user-defined" lets the user
customize where the (0, 0, 0) point in the tunnel will end up. Each
_zero argument is subtracted from its corresponding axis' data.
See also
Other data cleaning functions:
gather_tunnel_data(),
get_full_trajectories(),
quick_separate_trajectories(),
relabel_viewr_axes(),
rename_viewr_characters(),
rotate_tunnel(),
select_x_percent(),
separate_trajectories(),
standardize_tunnel(),
trim_tunnel_outliers(),
visualize_frame_gap_choice()
Other tunnel standardization functions:
rotate_tunnel(),
standardize_tunnel()
Examples
## Import the Flydra example data included in
## the package
flydra_data <-
read_flydra_mat(
system.file("extdata",
"pathviewr_flydra_example_data.mat",
package = 'pathviewr'),
subject_name = "birdie_wooster"
)
## Re-center the Flydra data set.
## Width will be untouched
## Length will use the "middle" definition
## And height will be user-defined to be
## zeroed at 1.44 on the original axis
flydra_centered <-
flydra_data %>%
redefine_tunnel_center(length_method = "middle",
height_method = "user-defined",
height_zero = 1.44)