get_projection: Compute Projection for High-Dimensional Data

In quollr: Visualising How Nonlinear Dimension Reduction Warps Your Data

Compute Projection for High-Dimensional Data

Description

Compute Projection for High-Dimensional Data

Usage

get_projection(
  projection,
  proj_scale,
  highd_data,
  model_highd,
  trimesh_data,
  axis_param
)

Arguments

projection	A matrix or data frame representing the projection.
proj_scale	Scaling factor for the projection.
highd_data	A data frame or matrix of high-dimensional data.
model_highd	A model object or function used for high-dimensional transformation.
trimesh_data	A data frame defining transformation from one space to another.
axis_param	A list of parameters for axis configuration.

Value

A data frame or matrix with the transformed projection.

Examples

projection_df <- cbind(
c(-0.17353,-0.02906,0.19857,0.00037,0.00131,-0.05019,0.03371),
c(-0.10551,0.14829,-0.02063,0.02658,-0.03150,0.19698,0.00044))

df_bin <- scurve_model_obj$model_highd
edge_data <- scurve_model_obj$trimesh_data

get_projection(projection = projection_df, proj_scale = 1,
highd_data = scurve, model_highd = df_bin,
trimesh_data = edge_data,
axis_param = list(limits = 1, axis_scaled = 3, axis_pos_x = -0.72,
axis_pos_y = -0.72,threshold = 0.09))

quollr documentation built on Aug. 8, 2025, 6:08 p.m.