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This function determines the number of bins along the x and y axes to obtain a specific number of non-empty bins.

Usage

find_non_empty_bins(nldr_obj, m = 2, q = 0.1)

Arguments

nldr_obj

A list of a tibble contains scaled first and second columns of NLDR data, and numeric vectors representing the limits of the original NLDR data.

m

The desired number of non-empty bins.

q

The buffer amount as proportion of data range.

Value

The number of bins along the x and y axes needed to achieve a specific number of non-empty bins.

Examples

find_non_empty_bins(nldr_obj = scurve_model_obj$nldr_obj, m = 5)