MCResult.plotDifference: Bland-Altman Plot

In mcr: Method Comparison Regression

Bland-Altman Plot

Description

Draw different Bland-Altman plot modifications (see parameter plot.type).

Usage

MCResult.plotDifference(
  .Object,
  xlab = NULL,
  ylab = NULL,
  ref.line = TRUE,
  ref.line.col = "black",
  ref.line.lty = 1,
  ref.line.lwd = 1,
  bias.line.lty = 1,
  bias.line.lwd = 1,
  bias.line.col = "red",
  bias.text.col = NULL,
  bias.text.cex = 0.8,
  loa.line.lty = 2,
  loa.line.lwd = 1,
  loa.line.col = "red",
  loa.text.col = NULL,
  plot.type = 3,
  main = NULL,
  cex = 0.8,
  digits = 2,
  add.grid = TRUE,
  ylim = NULL,
  ...
)

Arguments

.Object	object of class "MCResult".
xlab	label for the x-axis
ylab	label for the y-axis
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.
bias.line.lty	line type for estimated bias.
bias.line.lwd	line width for estimated bias.
bias.line.col	color of the line for estimated bias.
bias.text.col	color of the label for estimated bias (defaults to the same as bias.line.col.)
bias.text.cex	The magnification to be used for the label for estimated bias
loa.line.lty	line type for estimated limits of agreement.
loa.line.lwd	line width for estimated limits of agreement.
loa.line.col	color of the line for estimated limits of agreement.
loa.text.col	color of the label for estimated limits of agreement (defaults to the same as loa.line.col.)
plot.type	integer specifying a specific Bland-Altman plot modification (default is 3). Possible choices are: 1 - difference plot X vs. Y-X with null-line and mean plus confidence intervals. 2 - difference plot X vs. (Y-X)/X (relative differences) with null-line and mean. 3 - difference plot 0.5*(X+Y) vs. Y-X with null-line and mean plus confidence intervals. 4 - difference plot 0.5*(X+Y) vs. (Y-X)/X (relative differences) with null-line. 5 - difference plot rank(X) vs. Y-X with null-line and mean plus confidence intervals. 6 - difference plot rank(X) vs. (Y-X)/X (relative differences) with null-line and mean. 7 - difference plot sqrt(X*Y) vs. Y/X with null-line and mean plus confidence intervals calculated with help of log-transformation. 8 - difference plot 0.5*(X+Y) vs. (Y-X) / (0.5*(X+Y)) with null-line.
main	plot title.
cex	numeric value specifying the magnification factor used for points
digits	number of decimal places for the difference of means and standard deviation appearing in the plot.
add.grid	logical value. If add.grid=TRUE (Default) gridlines will be drawn.
ylim	limits for the y-axis
...	further graphical parameters

Value

No return value, instead a plot is generated

References

Bland, J. M., Altman, D. G. (1986) Statistical methods for assessing agreement between two methods of clinical measurement. Lancet, i: 307–310.

See Also

plot.mcr, plotResiduals, plotDifference, plotBias, compareFit

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 )

    plotDifference( model ) # Default plot.type=3
    plotDifference( model, plot.type=5)
    plotDifference( model, plot.type=7, ref.line.lty=3, ref.line.col="green3" )

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