PresenceAbsence: pcc – R documentation

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pcc

Percent Correctly Classified

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

pcc(CMX, st.dev = TRUE)

`CMX`	a confusion matrix - output from `cmx`
`st.dev`	a logical indicating whether the associated standard deviation should be calculated

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

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`

data(SIM3DATA)

pcc(cmx(SIM3DATA))

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

Presence-Absence Model Evaluation

v1.1.10

Unlimited

Authors

Elizabeth Freeman

Initial release

2022-02-28