MCResult.calcResponse: Calculate Response with Confidence Interval.

In mcr: Method Comparison Regression

Calculate Response with Confidence Interval.

Description

Calculate Response Intercept + Slope * Refrencemethod with Corresponding Confidence Interval

Usage

MCResult.calcResponse(.Object, x.levels, alpha, ...)

Arguments

.Object	object of class "MCResult".
x.levels	a numeric vector with points for which response schould be calculated.
alpha	numeric value specifying the 100(1-alpha)% confidence level of the confidence interval (Default is 0.05).
...	further parameters

Value

response and corresponding confidence interval for each point in vector x.levels.

See Also

calcBias

Examples

    #library("mcr")
    data(creatinine,package="mcr")
    x <- creatinine$serum.crea
    y <- creatinine$plasma.crea
    # Deming regression fit.
    # The confidence intercals for regression coefficients
    # are calculated with analytical method
    model <- mcreg( x,y,error.ratio=1,method.reg="Deming", method.ci="analytical",
                     mref.name = "serum.crea", mtest.name = "plasma.crea", na.rm=TRUE )
    calcResponse(model, x.levels=c(1,2,3))

mcr documentation built on Oct. 11, 2023, 5:14 p.m.