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Visualise the model overlaid on high-dimensional data along with 2-D wireframe model.

Source: R/link_plots.R
show_link_plots.Rd

This function generates a LangeviTour visualisation based on different conditions and input parameters with 2-D wireframe.

Usage

show_link_plots(
  point_data,
  edge_data,
  point_colours = c("#66B2CC", "#FF7755"),
  point_sizes = c(0, 1)
)

Arguments

point_data

A tibble that contains the high-dimensional data, non-linear dimension reductions and model in high-dimensions.

edge_data

A tibble that contains the wireframe data (from and to).

point_colours

A character vector that contains the colours of points in the high-dimensional data and model.

point_sizes

A numeric vector that contains the sizes of points in the high-dimensional data and model.

Value

A browsable HTML element.

Examples

df_exe <- comb_all_data_model(highd_data = scurve, nldr_data = scurve_umap,
model_highd = scurve_model_obj$model_highd, model_2d = scurve_model_obj$model_2d)
edge_data <- scurve_model_obj$trimesh_data
show_link_plots(point_data = df_exe, edge_data = edge_data)