conMx {ConNEcT} | R Documentation |
Calculate contingency measure values of a (lagged) time series matrix
Description
Calculate contingency measure values of a (lagged) time series matrix
Usage
conMx(data, data2 = NULL, lag = 0, conFun)
Arguments
data |
Binary time-points-by-variable matrix |
data2 |
Second binary time-points-by-variable matrix (optional) |
lag |
Non-negative integer indicating how many time points the second variable is lagged (default 0) |
conFun |
Contingency measure function (calculating the contingency value between two binary vectors). Built in: funPropAgree, funClassJacc, funKappa, funCorrJacc, funOdds, funLogOdds, funPhiCC |
Value
list with two elements:
value
Matrix of pairwise calculated contingency measures
para
Parameter settings lag
, funName
and varNames
Examples
conMx(cbind(c(1,0,1,0,1,0,1),c(1,1,1,1,0,0,0)),lag=1,conFun=funCorrJacc)
[Package ConNEcT version 0.7.27 Index]