| MethComp {MethComp} | R Documentation |
Takes the results from BA.est, AltReg
or MCmcmc and returns MethComp object,
suitable for displaying the relationship between methods.
MethComp(obj)
## S3 method for class 'MethComp':
print(x, digits=4, ... )
## S3 method for class 'MethComp':
plot(x, wh.cmp = 1:2,
pl.type = "conv",
axlim = range(x$data$y,na.rm=TRUE),
points = FALSE,
grid = TRUE,
N.grid = 10,
col.grid = grey(0.9),
col.lines = "black",
... )
## S3 method for class 'MethComp':
lines(x, wh.cmp = getOption("MethComp.wh.cmp"),
pl.type = getOption("MethComp.pl.type"),
axlim = par("usr")[1:2],
col.lines = "black",
... )
## S3 method for class 'MethComp':
points(x, wh.cmp = getOption("MethComp.wh.cmp"),
pl.type = getOption("MethComp.pl.type"),
... )
obj |
A MethComp or MCmcmc object. |
x |
A MethComp object. |
digits |
How many digits should be used when displaying conversion equations and variance componenets. |
wh.cmp |
Numeric. Which methods should be plotted. |
pl.type |
Character. If "conv" it will be a plot of two methods against each other, otherwise it will be a plot of the 2nd minus the 1st versus the average; a Bland-Altman type plot. |
axlim |
The extent of the axes. |
points |
Logical. Should the points be included in the plot. |
grid |
Logical. Should there be a grid? |
N.grid |
Numeric. How many gridlines? If a vector of length>1, it will be taken as the position of the gridlines. |
col.grid |
Color of the gridlines. |
col.lines |
Color of the conversion lines. |
... |
Further arguments. |
plot.MethComp plots the conversion function with prediction limits. It also
sets the options "MethComp.wh.cmp" indicating which two methods are
plotted and "MethComp.pl.type" indicating whether a plot of methods
against each other or a Bland-Altman type plot of differences versus averages.
lines.MethComp and points.MethComp adds conversion lines with
prediction limits and points to a plot.
MethComp returns a MethComp object, which is a list with two
elements, Conv, a three-way array giving the linear conversion equations
between methods and VarComp, a two-way array classified by methods and
variance components.
The methods return nothing.
Bendix Carstensen, Steno Diabetes Center, bxc@steno.dk.
data( ox ) BA.ox <- BA.est( ox, linked=T ) print( BA.ox )