Plot Residuals of an MCResult Object

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

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 )
#> Please note: 
#> 2 of 110 observations contain missing values and have been removed.
#> Number of data points in analysis is 108.
#> Jackknife based calculation of standard error and confidence intervals according to Linnet's method.
    plotResiduals(model, res.type="optimized", xaxis="both" )

    plotResiduals(model, res.type="y", xaxis="yhat")

Plot Residuals of an MCResult Object

Arguments

Value

See also

Examples