count_vector {sparselink} | R Documentation |
Metrics for sign detection
Description
Calculates sensitivity, specificity and precision for ternary data (with -1 for negative effect, 0 for no effect, 1 for positive effect).
Usage
count_vector(truth, estim)
count_matrix(truth, estim)
Arguments
truth |
(i) vector of length |
estim |
(i) vector of length |
Value
Returns a vector of length 3 (with names "sensitivity", "specificity" and "precision") or a matrix with 3 rows (with names "sensitivity", "specificity" and "precision") and n
columns.
Examples
#--- vector ---
p <- 20
truth <- sample(x=c(-1,0,1),size=p,replace=TRUE)
estim <- sample(x=c(-1,0,1),size=p,replace=TRUE)
table(truth,estim)
count_vector(truth,estim)
#--- matrix ---
p <- 20
n <- 5
truth <- matrix(sample(x=c(-1,0,1),size=n*p,replace=TRUE),nrow=p,ncol=n)
estim <- matrix(sample(x=c(-1,0,1),size=n*p,replace=TRUE),nrow=p,ncol=n)
count_matrix(truth,estim)
[Package sparselink version 1.0.0 Index]