bland.altman.ade: Bland-Altman plot

In epade: Easy Plots

Bland-Altman plot

Description

Plot for assessing agreement between two methods of clinical measurement

Usage

bland.altman.ade(x, y, data=NULL, ltext=TRUE, main="Bland-Altman Plot",
                 xlab=NULL, ylab=NULL, xlim=NULL, ylim=NULL,
                 lwd=2, cex=1, pch=16, lty=c(1,2,2), xticks=NULL, yticks=NULL,
                 col=NULL, tcol=NULL, bgcol=NULL, lcol=c(4,2,2), alpha=NULL,
                 fitline=1, wall=0, v=NULL, h=NULL, span=0.75)

Arguments

x	a numeric vector of first mesurement a string with the name of first mesurement in the data.frame
y	a numeric vector of second mesurement a string with the name of second mesurement in the data.frame
data	data.frame if used strings for (x,y)
ltext	logical asking whether to draw labels for the lines a string vector with the labels for the lines
main	an overall title for the plot
xlab	a title for the x axis
ylab	a title for the y axis
xlim	the x limits (x1, x2) of the plot
ylim	the y limits (y1, y2) of the plot
lwd	the line width
cex	character (or symbol) expansion: a numerical value
pch	plotting "character", i.e., symbol to use. This can either be a single character or an integer code for one of a set of graphics symbols.
lty	the line type, a vector is possible
xticks	the number of ticks on the x axis or a vector of exact ticks
yticks	the number of ticks on the y axis or a vector of exact ticks
col	color of the points
tcol	color of the text in whole plot
bgcol	the background color for plot dekoration
lcol	color for the lines in plot, a vector of colors is possible
alpha	a parameter in [0, 1] for semi-transparency of points
fitline	a number between 0 and 3 to fit: 0. not fit 1. a lm regression line 2. a loess local regression line 3. a pylinomial regression line
wall	a number between 0 and 6 for selection the dekoration style of the plot.
v	the x-value(s) for vertical line(s).
h	the y-value(s) for horizontal line(s).
span	the span parameter for lowess curve fit (only if fitline=2)

Details

It is only a Wrapper function for scatter.ade. Ploting the Difference against the mean for both variables.

See Also

scatter.ade

Examples

x<-rnorm(1000, 0, 3)
y<-x+rnorm(1000, 1, 0.5)
bland.altman.ade(x, y, wall=2)

epade documentation built on Oct. 29, 2022, 1:14 a.m.