commonMap: Plot highlights common points between two 1D plots...
In made4: Multivariate analysis of microarray data using ADE4

Description Usage Arguments Details Note Author(s) See Also Examples

CommonMap draws two 1D plots, and links the common points between the two.

1	commonMap(x, y, hor=TRUE, cex=1.5, scaled=TRUE, ...)

`x`	The coordinates of the first axis
`y`	The coordinates of the second axis
`hor`	Logical, whether a horizontal line should be drawn on plot. Default is TRUE.
`cex`	Numeric. The amount by which plotting text and symbols should be scaled relative to the default
`scaled`	Logical, whether the data in x and y are scaled. Scaling is useful for visualising small or large data values. Set to FALSE if actually or true values should be visualised. The default is TRUE.
`...`	further arguments passed to or from other method

Useful for mapping the genes in common from coinertia analysis This graphs a 1D graph, x and y are the coordinates from two different analyses but the rows of each vectors correspond (ie common genes)

This is useful for examining common points in axes from coinertia analysis, or comparing results from two different analysis.

Ailis Fagan and Aedin Culhane

See also between.graph, graph1D

a<-rnorm(20)
b<-rnorm(20)
par(mfrow=c(2,2))
commonMap(a,b)
commonMap(a,b,hor=FALSE, col="red", pch=19)
commonMap(a,b,col="blue", cex=2, pch=19)

# If the vectors contain different variables, the rows should define the variables that correspond
a[15:20]<-NA
b[10:15]<-NA
cbind(a,b)
commonMap(a,b, col="dark green", pch=18)