KCsmart (version 2.30.0)

idPoints: Identify points in sample point matrix plot

Description

Identify points in sample point matrix plot

Usage

idPoints(spm, mode='pos', dev=2, chromosomes=NULL)

Arguments

spm
The sample point matrix object of which points are to be identified
mode
Determines which points will be identified: mode='pos' will identify points in gained regions, mode='neg' will identify points in lost regions
dev
The device on which the sample point matrix was plotted
chromosomes
If not all chromosomes contained in the sample point matrix were plotted (using the 'chromosomes' argument in the 'plot' command), the same chromosomes must be entered here as an argument

Value

Returns a data.frame listing the the position and the KC score for each identified point.
KCscore
KCscore of the identified point
chromosome
Chromosome on which the identified point is located
chromPosition
Position on the chromosome of the identified point
colin
Co-linear location of the identified point (given the selected chromosomes)

Details

Using the mouse pointer points in a sample point matrix plot can be identified by left-clicking on the to-be-identified points. Right-clicking exits the selection and returns the selected points.

See Also

plot

Examples

Run this code
data(hsSampleData)
data(hsMirrorLocs)

#spm1mb <- calcSpm(hsSampleData, hsMirrorLocs)

#plot(spm1mb, type=1)
#idPoints(spm1mb)

#x11()
#plot(spm1mb, chromosomes=c(1,2,5))
#idPoints(spm1mb, mode='neg', dev=3, chromosomes=c(1,2,5))

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