f1Score: f1Score

In optimalFlow: optimalFlow

Description

Calculates the F1 score fore each group in a partition.

Usage

f1Score(clustering, cytometry, noise.cells)

Arguments

clustering	The labels of the new classification.
cytometry	Data of the clustering, where the last variable contains the original labels.
noise.cells	An array of labels to be considered as noise.

Value

A matrix where the first row is the F1 score, the second row is the Precision and the third row is the Recall.

References

E del Barrio, H Inouzhe, JM Loubes, C Matran and A Mayo-Iscar. (2019) optimalFlow: Optimal-transport approach to flow cytometry gating and population matching. arXiv:1907.08006

Examples

f1Score(dplyr::pull(Cytometry3[c(sample(1:250,250),251:(dim(Cytometry3)[1])),],11),
        Cytometry3, noise.types)

optimalFlow documentation built on Nov. 8, 2020, 6:59 p.m.