extract_na: Feature extraction: percentage of missing values
In heike/DS401: Quality Assessment of Scans of Land Engraved Areas on Fired Bullets
extract_na R Documentation
Feature extraction: percentage of missing values
Description
A good quality of 3d scans is crucial for an assessment of similarity of
striation marks between different bullets.
Here, we measure the percentage of missing values in the scan. Generally,
a higher percentage of missing values is associated with a lower scan quality.
Usage
extract_na(x3p)
Arguments
x3p
scan in x3p format
Value
percentage of missing values in the surface matrix of the scan
Examples
data(fau277_bb_l2)
extract_na(fau277_bb_l2) # this scan has a particularly high percentage of missing values
extract_na(fau001_ba_l1) # good scan
heike/DS401 documentation built on Oct. 23, 2022, 1:39 p.m.
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| extract_na | R Documentation |
Feature extraction: percentage of missing values
Description
A good quality of 3d scans is crucial for an assessment of similarity of striation marks between different bullets. Here, we measure the percentage of missing values in the scan. Generally, a higher percentage of missing values is associated with a lower scan quality.
Usage
extract_na(x3p)
Arguments
x3p |
scan in x3p format |
Value
percentage of missing values in the surface matrix of the scan
Examples
data(fau277_bb_l2) extract_na(fau277_bb_l2) # this scan has a particularly high percentage of missing values extract_na(fau001_ba_l1) # good scan
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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