calculate_mcc: Calculate Matthews correlation coefficient vector

In emba: Ensemble Boolean Model Biomarker Analysis

Description

Use this function to calculate the MCC scores given vectors of TP (true positives), FP (false positives), TN (true negatives) and FN (false negatives) values. Note that the input vectors have to be of the same size and have one-to-one value correspondence for the output MCC vector to make sense.

Usage

calculate_mcc(tp, tn, fp, fn)

Arguments

tp	numeric vector of TPs
tn	numeric vector of TNs
fp	numeric vector of FPs
fn	numeric vector of FNs

Value

a numeric vector of MCC values, each value being in the [-1,1] interval. If any of the four sums of the MCC formula are zero, then we return an MCC score of zero, which can be shown to be the correct limiting value (model is no better than a random predictor, see Chicco et al. (2020), doi: 10.1186/s12864-019-6413-7).

See Also

Other confusion matrix calculation functions: calculate_models_mcc(), calculate_models_synergies_fn(), calculate_models_synergies_fp(), calculate_models_synergies_tn(), calculate_models_synergies_tp()

emba documentation built on Jan. 7, 2021, 9:09 a.m.