PresenceAbsence (version 1.1.11)

pcc: Percent Correctly Classified

Description

pcc calculates the percent correctly classified and (optionally) the associated standard deviation from a confusion matrix.

Usage

pcc(CMX, st.dev = TRUE)

Value

if st.dev = FALSE, returns: PCC percent correctly classified.

if st.dev = TRUE, returns a dataframe where:

[1,1]	PCC	percent correctly classified
[1,2]	PCC.sd	standard deviation of PCC

Arguments

CMX

a confusion matrix - output from cmx

st.dev

a logical indicating whether the associated standard deviation should be calculated

Author

Elizabeth Freeman

Details

Percent Correctly Classified is simply the proportion of test observations that are correctly classified.

See Also

cmx, sensitivity, specificity, Kappa, auc

Examples

data(SIM3DATA)

pcc(cmx(SIM3DATA))

pcc(cmx(SIM3DATA),st.dev=FALSE)