R: Calculate Response with Confidence Interval.

MCResult.calcResponse {mcr}

R Documentation

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.

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))