Function reference • DS401

All functions
`assess_bottomempty()`	Feature extraction: percentage of missing values in the bottom n0% of the scan
`assess_col_na()`	Asssess percentage of missing values in columns
`assess_median_na_proportion()`	Feature Extraction: Median of the proportion of NA values present in the middle of a 3d scan, from a specific number of different y values.
`assess_middle_na_proportion()`	Feature Extraction: Proportion of NA values in the middle of the scan.
`assess_percentile_na_proportion()`	Feature Extraction: A specified percentile of the proportion of NA values present in the middle of a 3d scan, from a specific number of different y values.
`assess_rotation()`	Assess rotational imbalance of a scan
`extract_median_na_proportion()`	Feature Extraction: Median of the proportion of NA values present in the middle of a 3d scan, from 20 different y values.
`extract_na()`	Feature extraction: percentage of missing values
`extract_na_column()`	Feature extraction: percentage of missing values by column
`extract_na_row()`	Feature extraction: percentage of missing values by row
`fau001_ba_l1`	Example x3p scan
`fau277_bb_l2`	Example x3p scan
`find_brightness()`	Get the lighting from an x3p object
`lighting_protocol()`	Get lighting protocol from the name of an x3p object
`predict_quality()`	Predicts the probability that a x3p scan will be good and also predicts the reason why it is bad quality if it is predicted to be bad quality.
`predict_quality_one()`	Predicts the probability that a x3p scan will be good and also predicts the reason why it is bad quality if it is predicted to be bad quality.
`training`	Training data and results

Reference

All functions