ppsetApply {affy} | R Documentation

## Apply a function over the ProbeSets in an AffyBatch

### Description

Apply a function over the ProbeSets in an AffyBatch

### Usage

    ppsetApply(abatch, FUN, genenames = NULL, ...)

    ppset.ttest(ppset, covariate, pmcorrect.fun = pmcorrect.pmonly, ...)

### Arguments

`abatch` | an object inheriting from `AffyBatch`.
`ppset` | an object of class `ProbeSet`.
`covariate` | the name a covariate in the slot `phenoData`.
`pmcorrect.fun` | a function to correct PM intensities.
`FUN` | a function working on a `ProbeSet`.
`genenames` | a list of Affymetrix probesets ids to work with. All probe set ids used when `NULL`.
`...` | optional parameters to the function `FUN`.

### Value

Returns a `list` of objects, or values, as returned by the function `FUN` for each `ProbeSet` it processes.

### Author(s)

Laurent Gautier <laurent@cbs.dtu.dk>

### See Also

`ProbeSet-class`

### Examples

    ppset.ttest <- function(ppset, covariate, pmcorrect.fun = pmcorrect.pmonly, ...) {
      probes <- do.call("pmcorrect.fun", list(ppset))
      my.ttest <- function(x) {
        y <- split(x, get(covariate))
        t.test(y[[1]], y[[2]])$p.value
      }
      r <- apply(probes, 1, my.ttest)
      return(r)
    }
    ##this takes a long time - and rowttests is a good alternative
    ## eg: rt = rowttests(exprs(Dilution), Dilution$liver)
    ## Not run:
      data(Dilution)
      all.ttest <- ppsetApply(Dilution, ppset.ttest, covariate="liver")

    ## End(Not run)

[Package affy version 1.65.1 Index]