mc_plot: Multiple comparison plot.

In PairViz: Visualization using Graph Traversal

Multiple comparison plot.

Description

For grouped data. Draws boxplots for each group and overlays with confidence intervals for pairwise comparison of means.

Usage

mc_plot(data, fit, path = eulerian, col = rainbow(length(data), s = 0.4), 
levels = c(0.9, 0.95, 0.99), varwidth = TRUE, frame.plot = FALSE, 
boxwex = 0.3, cex=0.75, zoom=NULL,ci.yusr=NULL,ci.pos=FALSE,...)

Arguments

data	A list of vectors, such as that returned by split.
fit	Either an aov fit, or else a matrix with columns estimate, followed by confidence intervals. If fit is not an aov fit, the path argument should be a vector.
path	an index vector or a function. If a vector, groups are plotted in order data[path]. By default, it is the function eulerian, and produces an ordering where each pair of groups appears adjacently, with p-values roughly increasing as the sequence progresses.
col	A vector of colours, one per group.
levels	Vector of increasing confidence levels.
varwidth	Passed to boxplot.
frame.plot	Passed to boxplot.
boxwex	Passed to boxplot.
cex	Passed to boxplot.
zoom	If provided, a numeric vector specifying a subsequence of path to display.
ci.yusr	Specifies the vertical par(usr) for the confidence intervals. Defaults to max and min.
ci.pos	If TRUE, all CIs are mu(max) - mu(min), otherwise mu(right) - mu(left).
...	Optional arguments, passed to boxplot and overlayCI.

Author(s)

C.B. Hurley and R.W. Oldford

References

see overview

See Also

See also overlayCI

Examples

	 			
require(PairViz) 			

data(cancer)
bx <- with(cancer, split(sqrt(Survival),Organ))



a <-  aov(sqrt(Survival) ~ Organ,data=cancer)
## Not run: 
dev.new(height=4.5, width=9.5)
op <- par(no.readonly = TRUE)

par(cex.axis=.75, cex.main = 1.0, cex.lab=1)
par(mar=c(3,5,3,5))

mc_plot(bx,a,main="Pairwise comparisons of cancer types", ylab="Sqrt Survival")

par(op)

## End(Not run)

PairViz documentation built on Aug. 12, 2022, 5:06 p.m.