Reference

Package overview
gphys-package	Analyse electrophysiology data acquired by Neuromatic / Igor Pro
Read/plot ephys data
PlotRasterFromSweeps() plot(<spiketimes>)	Make a raster plot from a set of Nclamp sweeps recording odour responses
PlotOdourResponseFromSpikes()	Boxplot of spikes within a window (optionally less a baseline)
CollectSpikesFromSweeps()	Read in Igor Pro exported text file of Nclamp spike times
AddLinesToRasterPlot()	Add eg voltage traces to existing spike raster plot
MakeAverageWaves()	Make average (analogue) waves that match a spiketimes object
IgorWavesForSpikes()	Find the Igor waves matching a set of spikes (even if shuffled)
Summarising responses
OdourResponseFromSpikes()	Produce table of spiking responses (optionally subtracting baseline)
lifetime_sparseness()	Calculate lifetime sparseness according to Olsen et al. 2008
Odour delivery information
read.odd()	Read in the ODD text file describing odour presentation sequence
fix.odd()	Fix the odour labels in an odd config
Spike trains
as.repeatedTrain()	Generic function to convert spikes to STAR as.repeatedTrain objects
spiketimes()	Make spiketimes object (spike times + stimulus info) from list of dataframes
split(<spiketimes>)	Split a spiketimes object with multiple repeats into list with one entry per repeat
merge(<spiketimes>)	Merge two spiketimes lists with different ODD configs
divide()	Divide spiketimes object with multiple repeats into list with one entry per repeat
is.spiketimes()	Test if object is of class spiketimes
subset(<spiketimes>)	Subset spiketimes object to contain only sweeps for an odour subset
`[`(<spiketimes>)	Extract one or more spiketimes objects as a new spiketimes list
`+`(<spiketimes>)	Combine multiple compatible spiketimes series (to plot as single raster)
Time series helper functions/methods
smooth_decimate()	Boxcar smooth and decimate a time series
scale(<ts>)	Rescale the y values of a (multi-)time series (ts) object
mean(<mts>)	Take the mean of all the columns in a multi-time series (mts) object
tsp.nclamppxp()	Get time series properties for an Nclamp pxp file
tsp.psth()	Find start, end and frequency of a STAR psth object Checks that it is regularly sampled
PSTH helper functions/methods These help interact with STAR package smoothed peristimulus time histogram objects
smpsth()	Generate smooth PSTHs for a set of spike trains
`[`(<mpsth>)	Extract one or more psth objects to make a new mpsth list
as.ts(<mpsth>)	Convert a multi-psth list into a (multi) time series object
as.ts(<psth>)	Convert a STAR psth into a (multi) time series object
as.mpsth()	Convert a list of STAR psth objects into an mpsth object
plot(<mpsth>)	Plot PSTHs for multiple neurons (or multiple stimuli)
Miscellaneous utility functions
finder_colour()	Query the colour label of a file in the MacOS X Finder
finder_colour_fast()	Query the colour label of a file in the MacOS X Finder
set_finder_colour()	Set the colour label of a file in the MacOS X Finder See http://stackoverflow.com/questions/2435580/tagging-files-with-colors-in-os-x-finder-from-shell-scripts