glm_pixel_dist_edge_min: Predict dead pixels from pixel distances to the nearest...
In alan-turing-institute/DetectorChecker: A package for analysing pixel damage in CT Scanners
Description
Usage
Arguments
Value
Examples
Description
Fit a logistic regression model using glm.
Predict dead pixels from pixel distances to the nearest sub-panel edge
Usage
1
glm_pixel_dist_edge_min(detector)
Arguments
detector
Detector object
Value
Fitted model
Examples
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9
# Create a detector
detector_pilatus <- create_detector("Pilatus")
# Load a pixel matrix
file_path <- system.file("extdata", "Pilatus", "badpixel_mask.tif",
package ="detectorchecker")
detector_pilatus <- load_pix_matrix(
detector = detector_pilatus, file_path = file_path)
# Fit logistic regression model
glm_pixel_dist_edge_min(detector_pilatus)
alan-turing-institute/DetectorChecker documentation built on Jan. 3, 2021, 10:37 a.m.
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Description Usage Arguments Value Examples
Description
Fit a logistic regression model using glm.
Predict dead pixels from pixel distances to the nearest sub-panel edge
Usage
1 | glm_pixel_dist_edge_min(detector)
|
Arguments
detector |
Detector object |
Value
Fitted model
Examples
1 2 3 4 5 6 7 8 9 | # Create a detector
detector_pilatus <- create_detector("Pilatus")
# Load a pixel matrix
file_path <- system.file("extdata", "Pilatus", "badpixel_mask.tif",
package ="detectorchecker")
detector_pilatus <- load_pix_matrix(
detector = detector_pilatus, file_path = file_path)
# Fit logistic regression model
glm_pixel_dist_edge_min(detector_pilatus)
|
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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