confusion: Confusionion Matrix for VegsoupPartition Objects
In vegsoup: Classes and Methods for Phytosociology

Description Usage Arguments Details Value Author(s) References See Also Examples

Cross-classifies each partition (clustering) by actual class membership and predicted membership, computes overall accuracy, and the Kappa statistic of agreement.

1 2	## S4 method for signature 'VegsoupPartition,VegsoupPartition' confusion(obj1, obj2)

obj1, obj2

'VegsoupPartition' object. obj1 is compared with obj2.

Method confusion takes two objects inheriting from class VegsoupPartition and computes a cross-tabulation (contingency table) of reference (observed, obj1) vs. comparison (predicted, obj2) class memberships, and calculates the Kappa and Goodman-Kruskal lambda statistics.

A list with the following components:

confus: the cross tabulation of obj1 (rows) and obj2 (columns).
correct: the percentage of correctly predicted samples.
kappa: the value of the Kappa statistic.
lambda: the value of the Lambda statistic.

Roland Kaiser

Goodman, L. A. and Kruskal, W. H. 1954 Measures of association for cross-classifications. Journal of the American Statistical Association 49, 732–764.

VegsoupPartition, accuracy in package 'vegsoup. confus in package optpart and

require(vegsoup)

data(windsfeld)

prt1 <- VegsoupPartition(windsfeld, k = 10, method = "flexible")
prt2 <- VegsoupPartition(windsfeld, k = 10, method = "pam")

confusion(prt1, prt2)