MCResult.plotResiduals: Plot Residuals of an MCResult Object

In mcr: Method Comparison Regression

Plot Residuals of an MCResult Object

Description

Plot Residuals of an MCResult Object

Usage

MCResult.plotResiduals(
  .Object,
  res.type = c("optimized", "y", "x"),
  xaxis = c("yhat", "both", "xhat"),
  ref.line = TRUE,
  ref.line.col = "red",
  ref.line.lty = 2,
  ref.line.lwd = 1,
  main = NULL,
  xlab = NULL,
  ylab = NULL,
  add.grid = TRUE,
  ...
)

Arguments

.Object	object of type "MCResult".
res.type	If res.type="y" the difference between the test method and it's prediction will be drawn. If res.type="x" the reference method and it's prediction will be drawn. In case ordinary and weighted ordinary linear regression this difference will be zero.
xaxis	Values on the x-axis. One can choose from estimated values of x (xaxis="xhat"), y (xaxis="xhat") or the mean of estimated values of x and y (xaxis="both"). If res.type="optimized" the proper type of residuals for each regression will be drawn.
ref.line	logical value. If ref.line = TRUE (default), the reference line will be drawn.
ref.line.col	reference line color.
ref.line.lty	reference line type.
ref.line.lwd	reference line width.
main	character string specifying the main title of the plot
xlab	label for the x-axis
ylab	label for the y-axis
add.grid	logical value. If add.grid = TRUE (default) the gridlines will be drawn.
...	further graphical parameters

Value

No return value, instead a plot is generated

See Also

getResiduals, plot.mcr, plotDifference, plotBias, compareFit

Examples

    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="WDeming", method.ci="jackknife",
                     mref.name = "serum.crea", mtest.name = "plasma.crea", na.rm=TRUE )
    plotResiduals(model, res.type="optimized", xaxis="both" )
    plotResiduals(model, res.type="y", xaxis="yhat")

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