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

## Description

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

## Usage

 `1` ```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 `between.graph`, `graph1D`
 ``` 1 2 3 4 5 6 7 8 9 10 11 12``` ```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) ```