SMOLR_POINT_FEATURES: SMOLR COORDINATE-BASED FEATURES
In maartenpaul/SMoLR: Single Molecule Localization Microscopy visualization and analysis in R
Description
Usage
Arguments
Value
Author(s)
Examples
Description
Extraction of features based on the coordinates of the localization data
Usage
1
Arguments
x
itemx
localization data, SMOLR_DBSCAN or SMOLR_KDE object, can be a list of objects
itemskeleton
estimate the skeleton length, using skeltonization of a binary image.
Value
A data.frame with columns indicating the different obtained values
Author(s)
Optical Imaging Centre ErasmusMC Rotterdam
Examples
1
2
3
4
5
6
7
8
9
#obtain statistics for a localization data.frame
x1<-SMOLR_POINT_FEATURES(smolrdata)
x1
#obtain statistics after clustering using SMOLR_KDE
x2<-SMOLR_POINT_FEATURES(SMOLR_KDE(smolrdata))
x2
#obtain statistics after clustering using SMOLR_DBSCAN
x3<-SMOLR_POINT_FEATURES(SMOLR_DBSCAN(smolrdata,MinPts=10))
x3
maartenpaul/SMoLR documentation built on May 21, 2019, 10:14 a.m.
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Description Usage Arguments Value Author(s) Examples
Description
Extraction of features based on the coordinates of the localization data
Usage
1 |
Arguments
x |
itemx
localization data, |
Value
A data.frame with columns indicating the different obtained values
Author(s)
Optical Imaging Centre ErasmusMC Rotterdam
Examples
1 2 3 4 5 6 7 8 9 | #obtain statistics for a localization data.frame
x1<-SMOLR_POINT_FEATURES(smolrdata)
x1
#obtain statistics after clustering using SMOLR_KDE
x2<-SMOLR_POINT_FEATURES(SMOLR_KDE(smolrdata))
x2
#obtain statistics after clustering using SMOLR_DBSCAN
x3<-SMOLR_POINT_FEATURES(SMOLR_DBSCAN(smolrdata,MinPts=10))
x3
|
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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