permute.features.and.plot: Write PDF
In IGM.MEA: IGM MEA Analysis

Description Usage Arguments Value Author(s) Examples

Generates a PDF containing plots and p-values for each feature. P-values are generating using Mann Whitney and permutation tests. This function requires that you create a list of dataframes for a given feature type (e.g. spikes) using the aggregate.data() function

1	permute.features.and.plot(s, wt, np, features.list, type, output.dir)

`s`	MEA data structure
`wt`	The treatment that will act as the wildtype/reference for the Mann Whitney and Permutation tests
`np`	Number of permutations to be performed
`features.list`	A list of dataframes containing data for a given feature
`type`	Type of features contained in features.list (e.g. spikes, ns, or bursts)
`output.dir`	Directory where output files will be generated

A PDF file containing the plots and p-values.

Ryan Dhindsa

	data("S")
	#spike.features<-IGM.aggregate.features(S, feat.type="spike" )
	#wt <- "untreated"
	#output.dir = getwd()
	#permute.features.and.plot(S, wt, np, spike.features, "spikes", output.dir)