GroupedTreeStatistics Class Documentation#
Package: sc.fiji.snt.analysis
Computes statistics from Tree groups.
Methods#
Getters Methods#
- getBoxPlot(String, Collection)#
Assembles a Box and Whisker Plot for the specified feature.
- getFlowPlot(String, int, double, boolean)#
Assembles a Flow plot (aka Sankey diagram) for the specified feature.
- getGroupStats(String)#
Gets the group statistics.
- getGroups()#
Gets the group identifiers currently queued for analysis.
- getHistogram(String)#
Gets the relative frequencies histogram for a univariate measurement. The number of bins is determined using the Freedman-Diaconis rule.
- getN(String)#
Gets the number of Trees in a specified group.
- getPolarHistogram(String)#
Gets the relative frequencies histogram for a univariate measurement as a polar (rose) plot assuming a data range between [0-360]. The number of bins is determined using the Freedman-Diaconis rule.
Setters Methods#
- setMinNBins(int)#
Sets the minimum number of bins when assembling histograms.
Other Methods#
- addGroup(Collection, String, String;)#
Adds a comparison group to the analysis queue.
- anovaPValue(String)#
Computes the one-way ANOVA P-value for all the groups being analyzed. It is assumed that data fulfills basic assumptions on normality, variance homogeneity, sample size, etc.
- static main(String;)
- tTest(String, String, String)#
Computes a two-sample, two-tailed t-test P-value for two of groups being analyzed. It is assumed that data fulfills basic assumptions on normality, variance homogeneity, etc.