comb_all_data_model_error {quollr} | R Documentation |
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)
[Package quollr version 0.3.7 Index]