`RootAngleAnalyzer` Class Documentation#

Package: sc.fiji.snt.analysis

Class to perform Root angle analysis on a Tree according to Bird and Cuntz 2019, PMID 31167149.

Methods#

Getters Methods#

getAnalysis()#

getAngles()#

getCramerVonMisesStatistic()#: Computes the Cramér-von Mises statistic between computed root angles and fitted von Mises distribution. A value of 0 indicates a perfect fit between the empirical distribution and the theoretical distribution, and larger values indicate a greater discrepancy between the two distributions.

getDensityPlot()#

static getDensityPlot(List)

getDescriptiveStatistics()#

static getHistogram(List, boolean)

getHistogram(boolean)#

getTaggedGraph()#

getTaggedTree(ColorTable, double, double)#: Returns a recolored copy of the analyzed tree with the root angles assigned to its node values.

Other Methods#

balancingFactor()#: Returns the balancing factor, computed from centripetalBias().

centripetalBias()#: Returns the strength of the centripetal bias, also known as κ. κ is defined as the concentration of the von Mises fit of the root angle distribution. κ= 0 indicate no bias (root angles are distributed uniformly). K->∞ indicate that all neurites point directly toward the root of the tree

static main(String;)

max()#

mean()#

meanDirection()#: Returns the mean direction of the fitted von Mises distribution.

min()#

static supportedMetrics()

See Also#