spTimer (version 3.3.3)

spT.validation2: Validation Commands

Description

The following function is used to validate the predicted observations with the actual values based on some threshold.

Usage

spT.validation2(z,zhat,cutoff,names=FALSE)

Value

TPR

True Positive Rate, Sensitivity, Hit rate, Recall

FPR

False Positive Rate, False alarm

FNR

False Negative Rate, Miss rate

TNR

True Negative Rate, Specificity

Prevalence

Prevalence

Accuracy

Accuracy

Precision

Precision, Positive Predictive Value

FOR

False Ommission Rate

LRp

Positive Likelihood Ratio

LRn

Negative Likelihood Ratio

FDR

False Discovery Rate

NPV

Negative Predictive Value

DOR

Diagnostic Odds Ratio

F1score

F1 score

Heidke.Skill

Heidke Skill

Arguments

z

The original values (matrix or vector).

zhat

The predicted values (matrix or vector).

cutoff

The threshold value or cut-off point.

names

Logical, if TRUE then print the names of the validation statistics.

See Also

spT.pCOVER,spT.validation.

Examples

##

# Create `x', which is the true values.
# Create `y', which is the predicted values.

x <- rnorm(100,0,0.1)
y <- rnorm(100,0,1)
spT.validation2(x, y, cutoff=0,names=TRUE)

##