evaluate: Evaluation for estimated cell type proportions

In InteRD: The Integrated and Robust Deconvolution

Evaluation for estimated cell type proportions

Description

Several evaluation metrics are provided, such as mean absolute deviance ('MAD'), Kendall-tau correlation coefficient ('Ken'), Pearson correlation coefficient ('Cor'), given true cell type proportions.

Usage

evaluate(est.prop,true.prop)

Arguments

est.prop	The estimated cell type proportions.
true.prop	The True cell type proportions

Value

Cell-type level evaluations based on MAD, Ken, and Pearson ('cell.type.eva'), and overall evaluations based on averaged MAD, Ken, and Pearson ('all.eva').

Examples

##read data
library(InteRD)
readRDSFromWeb<-function(ref) {readRDS(gzcon(url(ref)))}
urlremote<-"https://github.com/chencxxy28/Data/raw/main/data_InteRD/"
pseudo.seger<-readRDSFromWeb(paste0(urlremote,"pseudo.seger.rds"))
true_p<-readRDSFromWeb(paste0(urlremote,"true_p.rds"))
SCDC_ENSEMBLE_MAD<-readRDSFromWeb(paste0(urlremote,"SCDC_ENSEMBLE_MAD_seger.rds"))
evaluate(SCDC_ENSEMBLE_MAD,true_p)$all.eva

InteRD documentation built on Aug. 12, 2022, 9:05 a.m.