workedExampleMedianNormalize: Worked Example of MiChip Processing
In MiChip: MiChip Parsing and Summarizing Functions

Loads a set of hybridizations into a matrix and them proceeds to filter, summarize and median normalize them

1	workedExampleMedianNormalize(exptname, intensityCutoff=0, datadir=".", minSumlength, madAdjust = FALSE)

`exptname`	string indicating the name of the experiment
`intensityCutoff`	The intensity value for accepting the spots intensity value in the experiment
`datadir`	The directory where hybridization files are found.
`minSumlength`	Minimum exceptable number of values to summarize intensity value.
`madAdjust`	if `TRUE` then summarized data will be filtered according to the MAD median absolute deviation and set to `NA` if the median is less than MAD

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#Normalize data in the current directory to the median per chip
datadir <- system.file("extdata", package="MiChip")
myNormedEset <-workedExampleMedianNormalize("MyExpt", intensityCutoff=0, datadir, minSumlength=0, madAdjust=TRUE)