getXcoords {qusage} | R Documentation

## Get the X coordinates for the points of the PDF

### Description

Calculates the x-coordinates for the PDF of a given pathway.

### Usage

    getXcoords(QSarray, path.index=1, addVIF=!is.null(QSarray$vif))

### Arguments

`QSarray` | A QSarray object as output by qusage (or aggregateGeneSet)
`path.index` | either an integer between 1 and numPathways(QSarray), or the name of the pathway to retrieve.
`addVIF` | a logical indicating whether to use the VIF when calculating the variance

### Details

The calculation of the x-coordinates for a PDF is not straightforward, and as such they are not included in the QSarray object initially. During the numerical convolution step, the gene set PDF is calculated at a number of points (equal to `QSarray$n.points`) over a range defined by:

`c(path.mean - range, path.mean + range`)

However, the resulting PDF is actually the sum of the individual gene PDFs, rather than the desired average PDF. Therefore the range which is stored in the resulting QSarray is divided by the number of genes in the pathway, `QSarray$path.size`.

In addition, the width of the PDF can be expanded by the Variance Inflation Factor (VIF), which is equivalent to multiplying the range of the x-coordinates by the `sqrt(VIF)`. If the parameter `addVIF=TRUE`, the VIF calculatd using the `calcVIF` method will be included in the calculation of the x-coordinates.

In general, the x-coordinates for a pathway are calculated for each point n using the following formula:

x.n = ( seq(-1,1,length.out=N.points) * range * sqrt(VIF) ) + path.mean

### Value

A numeric vector of length `QSarray$n.points`.

### Examples

      ##create example data
      eset = matrix(rnorm(500*20),500,20, dimnames=list(1:500,1:20))
      labels = c(rep("A",10),rep("B",10))

      ##first 30 genes are differentially expressed
      eset[1:30, labels=="B"] = eset[1:30, labels=="B"] + 1
      geneSets = list(diff.set=1:30, base.set=31:60)

      ##Run qusage
      set.results = qusage(eset, labels, "B-A", geneSets)

      ##Plot the PDF (see also: plotDensityCurves() )
      x = getXcoords(set.results, 1)
      y = set.results$path.PDF[,1]
      plot(x,y, type="l")

[Package qusage version 2.20.0 Index]