algo.summary {surveillance}R Documentation

Summary Table Generation for Several Disease Chains

Description

Summary table generation for several disease chains.

Usage

        algo.summary(compMatrices)

Arguments

compMatrices list of matrices constructed by algo.compare.

Details

As lag the mean of all single lags is returned. TP values, FN values, TN values and FP values are summed up. dist, sens and spec are new computed on the basis of the new TP value, FN value, TN value and FP value.

Value

matrix summing up the singular input matrices

See Also

algo.compare, algo.quality

Examples

    # Create a test object
    disProgObj1 <- sim.pointSource(p = 0.99, r = 0.5, length = 400,
                            A = 1, alpha = 1, beta = 0, phi = 0,
                            frequency = 1, state = NULL, K = 1.7)
    disProgObj2 <- sim.pointSource(p = 0.99, r = 0.5, length = 400,
                            A = 1, alpha = 1, beta = 0, phi = 0,
                            frequency = 1, state = NULL, K = 5)
    disProgObj3 <- sim.pointSource(p = 0.99, r = 0.5, length = 400,
                            A = 1, alpha = 1, beta = 0, phi = 0,
                            frequency = 1, state = NULL, K = 17)

    # Let this object be tested from any methods in range = 200:400
    range <- 200:400
    control <- list( list(funcName = "rki1", range = range),
                    list(funcName = "rki2", range = range),
                    list(funcName = "rki3", range = range)
                )

    compMatrix1 <- algo.compare(algo.call(disProgObj1, control=control))
    compMatrix2 <- algo.compare(algo.call(disProgObj2, control=control))
    compMatrix3 <- algo.compare(algo.call(disProgObj3, control=control))

    algo.summary( list(a=compMatrix1, b=compMatrix2, c=compMatrix3) )

[Package surveillance version 1.1-2 Index]