commonMap {made4} | R Documentation

## Plot highlights common points between two 1D plots (biparitite)

### Description

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

### Usage

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

### Arguments

`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

### Details

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)

### Note

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

### Author(s)

Ailis Fagan and Aedin Culhane

### See Also

See also `between.graph`, `graph1D`

### Examples

    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)

[Package made4 version 1.64.0 Index]