Computes the joint centre using the Symmetrical Centre of Rotation Estimation (SCoRE) method based on time series of marker positions from proximal and distal segments.
Usage
compute_jc_score(
data,
marker_names_prox,
marker_names_dist,
joint_centre_name,
return_items = c("all", "local_distal", "local_proximal", "global", "appended")
)Arguments
- data
A data frame with time-series marker data. Columns must be named in the format `marker_X`, `marker_Y`, `marker_Z`.
- marker_names_prox
A character vector of 3 marker names defining the proximal segment.
- marker_names_dist
A character vector of 3 marker names defining the distal segment.
- joint_centre_name
A character string used to name the resulting joint centre columns.
- return_items
Character string specifying what to return. One of `"all"`, `"local_distal"`, `"local_proximal"`, `"global"`, or `"appended"`.
Value
Depending on `return_items`: * `"all"` – a list with full data frame, local distal, and local proximal coordinates. * `"local_distal"` or `"local_proximal"` – a 3x1 numeric matrix. * `"global"` – a data frame with joint centre coordinates in global frame. * `"appended"` – original data with global joint centre columns appended.