hist.MicroarrayData: Plots a histogram
In HenrikBengtsson/aroma: An R Object-oriented Microarray Analysis package

Description Usage Arguments Author(s) See Also Examples

Creates a histogram plot for any data variable over all grids or over all slides. If the argument slide is given, an boxplot over the print-tips will be generated, others an across-slides boxplot will be generated.

1 2	## S3 method for class 'MicroarrayData' hist(x, what, slides=NULL, include=NULL, exclude=NULL, xlab=NULL, log=NULL, ...)

`what`	What data variable to do a histogram for.
`slides`	The slide(s) that should be used to generate this plot. If `NULL` data from all slides are considered.
`include`	The indices of the spots that should be included. If it is instead a name of one or more flags, the spots which have been flagged with these flags are considered. If `NULL` all spots are considered.
`exclude`	The indices of the spots that should be excluded. If it is instead a name of one or more flags, the spots which have been flagged with these flags are excluded. If `NULL` no spots are excluded.
`xlab, ylab`	Label on the x-axis (y-axis). If `NULL` the label will be automatically set.
`log`	The log base to be used for taking the logarithm of the data before generating the histogram. If `NULL` the non-logarithm data is plotted.
`...`	Common arguments accepted by most plot functions. For more information see `par` and `plot`.

Henrik Bengtsson (http://www.braju.com/R/)

boxplot. For more information see MicroarrayData.

  SMA$loadData("mouse.data")
  layout <- Layout$read("MouseArray.Layout.dat", path=system.file("data-ex", package="aroma"))
  raw <- RawData(mouse.data, layout=layout)
  ma <- getSignal(raw)

  hist(ma, what="M", slide=1)