MCResult.plot: Scatter Plot Method X vs. Method Y In mcr: Method Comparison Regression

Description

Plot method X (reference) vs. method Y (test) with (optional) line of identity, regression line and confidence bounds for response.

Usage

 1 2 3 4 5 6 7 8 9 10 11 MCResult.plot(x, alpha = 0.05, xn = 20, equal.axis = FALSE, xlim = NULL, ylim = NULL, x.lab = x@mnames[1], y.lab = x@mnames[2], add = FALSE, draw.points = TRUE, points.col = "black", points.pch = 1, points.cex = 0.8, reg = TRUE, reg.col = NULL, reg.lty = 1, reg.lwd = 2, identity = TRUE, identity.col = NULL, identity.lty = 2, identity.lwd = 1, ci.area = TRUE, ci.area.col = NULL, ci.border = FALSE, ci.border.col = NULL, ci.border.lty = 2, ci.border.lwd = 1, add.legend = TRUE, legend.place = c("topleft", "topright", "bottomleft", "bottomright"), main = NULL, sub = NULL, add.cor = TRUE, cor.method = c("pearson", "kendall", "spearman"), add.grid = TRUE, ...)

Arguments

 x object of class "MCResult". alpha numeric value specifying the 100(1-alpha)% confidence bounds. xn number of points (default 20) for calculation of confidence bounds. draw.points logical value. If draw.points=TRUE, the data points will be drawn. xlim limits of the x-axis. If xlim=NULL the x-limits will be calculated automatically. ylim limits of the y-axis. If ylim=NULL the y-limits will be calculated automatically. x.lab label of x-axis. Default is the name of reference method. y.lab label of y-axis. Default is the name of test method. equal.axis logical value. If equal.axis=TRUE x-axis will be equal to y-axis. add logical value. If add=TRUE, the plot will be drawn in current graphical window. points.col Color of data points. points.pch Type of data points (see par()). points.cex Size of data points (see par()). reg Logical value. If reg=TRUE, the regression line will be drawn. reg.col Color of regression line. reg.lty Type of regression line. reg.lwd The width of regression line. identity logical value. If identity=TRUE the identity line will be drawn. identity.col The color of identity line. identity.lty The type of identity line. identity.lwd the width of identity line. ci.area logical value. If ci.area=TRUE (default) the confidence area will be drawn. ci.area.col the color of confidence area. ci.border logical value. If ci.border=TRUE the confidence limits will be drawn. ci.border.col The color of confidence limits. ci.border.lty The line type of confidence limits. ci.border.lwd The line width of confidence limits. add.legend logical value. If add.legend=FALSE the plot will not have any legend. legend.place The position of legend: "topleft","topright","bottomleft","bottomright". main String value. The main title of plot. If main=NULL it will include regression name. sub String value. The subtitle of plot. If sub=NULL and ci.border=TRUE or ci.area=TRUE it will include the art of confidence bounds calculation. add.cor Logical value. If add.cor=TRUE the correlation coefficient will be shown. cor.method a character string indicating which correlation coefficient is to be computed. One of "pearson" (default), "kendall", or "spearman", can be abbreviated. add.grid Logical value. If add.grid=TRUE (default) the gridlines will be drawn. ... further graphical parameters