# plot.MCmcmc: Plot estimated conversion lines and formulae. In MethComp: Analysis of Agreement in Method Comparison Studies

## Description

Plots the pairwise conversion formulae between methods from a `MCmcmc` object.

## Usage

 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18``` ```## S3 method for class 'MCmcmc' plot( x, axlim = range(attr(x, "data")\$y, na.rm = TRUE), wh.cmp, lwd.line = c(3, 1), col.line = rep("black", 2), lty.line = rep(1, 2), eqn = TRUE, digits = 2, grid = FALSE, col.grid = gray(0.8), points = FALSE, col.pts = "black", pch.pts = 16, cex.pts = 0.8, ... ) ```

## Arguments

 `x` A `MCmcmc` object `axlim` The limits for the axes in the panels `wh.cmp` Numeric vector or vector of method names. Which of the methods should be included in the plot? `lwd.line` Numerical vector of length 2. The width of the conversion line and the prediction limits. If the second values is 0, no prediction limits are drawn. `col.line` Numerical vector of length 2. The color of the conversion line and the prediction limits. `lty.line` Numerical vector of length 2. The line types of the conversion line and the prediction limits. `eqn` Should the conversion equations be printed on the plot?. Defaults to `TRUE`. `digits` How many digits after the decimal point shoudl be used when printing the conversion equations. `grid` Should a grid be drawn? If a numerical vector is given, the grid is drawn at those values. `col.grid` What color should the grid have? `points` Logical or character. Should the points be plotted. If `TRUE` or `"repl"` paired values of single replicates are plotted. If `"perm"`, replicates are randomly permuted within (item, method) befor plotting. If `"mean"`, means across replicates within item, method are formed and plotted. `col.pts` What color should the observation have. `pch.pts` What plotting symbol should be used. `cex.pts` What scaling should be used for the plot symbols. `...` Parameters to pass on. Currently not used.

## Value

Nothing. The lower part of a (M-1) by (M-1) matrix of plots is drawn, showing the pairwise conversion lines. In the corners of each is given the two conversion equations together with the prediction standard error.

`MCmcmc`, `print.MCmcmc`
 ``` 1 2 3 4 5 6 7 8 9 10 11 12``` ```## Not run: data( hba1c ) ## Not run: str( hba1c ) ## Not run: hba1c <- transform( subset( hba1c, type=="Ven" ), meth = dev, repl = d.ana ) ## End(Not run) ## Not run: hb.res <- MCmcmc( hba1c, n.iter=50 ) ## Not run: data( hba.MC ) ## Not run: str( hba.MC ) ## Not run: par( ask=TRUE ) ## Not run: plot( hba.MC ) ## Not run: plot( hba.MC, pl.obs=TRUE ) ```