spec_sens: Calculate specificity and sensitivity on FSPmix simulation...

In MarcelaCespedes/FSPmix: Exploratory tool for fast unsupervised features selection and clustering using mixture models

Description

Compute 2 by 2 confusion matrix as a ratio as well as with numerical values.

Usage

spec_sens(real.dat, pred.dat)

Arguments

real.dat	Vector of simulated data which was fed to FSPmix algorithm for a particular feature. Feature classified into groups A or B.
pred.dat	Vector of predictions for a particular feature, classified into either groups A or B.

Value

tot.obs	Total number of observations classified
conf.mat	Sensitivity and specificity values on a 2 x 2 confusion matrix
con.mat.ratio	Sensitivity and specificity percentages, 2 x 2 matrix

Author(s)

Marcela Cespedes

Examples

set.seed(123)

real.data<- data.frame(ppl = 1:100,
                      group = sample(c("A", "B"), size = 100,prob = c(0.5, 0.5), replace=TRUE ))

pred.data<- data.frame(ppl = 1:100,
                       Pred = sample(c("Pred.A", "Pred.B"), size = 100,prob = c(0.5, 0.5), replace=TRUE ))

spec_sens(real.dat = real.data, pred.dat = pred.data)

MarcelaCespedes/FSPmix documentation built on May 12, 2020, 5:49 p.m.