comb_all_data_model_error: Create a tibble with averaged high-dimensional data and...

In quollr: Visualising How Nonlinear Dimension Reduction Warps Your Data

Create a tibble with averaged high-dimensional data and high-dimensional data, non-linear dimension reduction data, model error data

Description

This function combine the average values of high-dimensional data within each hexagonal bin and high-dimensional data, non-linear dimension reduction data, model error data.

Usage

comb_all_data_model_error(
  highd_data,
  nldr_data,
  model_highd,
  model_2d,
  error_data
)

Arguments

highd_data	A tibble that contains the high-dimensional data.
nldr_data	A tibble that contains the non-linear dimension reduction data.
model_highd	A tibble that contains the high-dimensional coordinates of bin centroids.
model_2d	A tibble that contains hexagonal bin centroids in 2-D.
error_data	A tibble that contains high-dimensional model error.

Value

A tibble with the average values of the high-dimensional data within each hexagonal bin and high-dimensional data, non-linear dimension reduction data, model error.

Examples

model_error <- augment(highd_data = scurve, model_highd = scurve_model_obj$model_highd,
model_2d = scurve_model_obj$model_2d)
comb_all_data_model_error(highd_data = scurve, nldr_data = scurve_umap,
model_highd = scurve_model_obj$model_highd, model_2d = scurve_model_obj$model_2d,
error_data = model_error)

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