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#############################################
# SWALE S4 CLASS DEFINITIONS #
# Copyright(c) 2009 Wouter D. Weeda #
# University of Amsterdam #
#############################################
#[CONTAINS]
#version
#solution
## Swale version class (version is set here)
setClass(
Class='version',
representation=representation(
version='numeric',
build='numeric',
update='numeric',
svnrev='numeric'
),
prototype=prototype(
version=1,
build=3,
update=5,
svnrev=37
)#,
#package='swale'
)
## SWALE basisfunctions
setClass(
Class='basis',
representation=representation(
type='character',
deriv.type='character',
num.funcs='numeric',
num.points='numeric',
matrix='matrix',
deriv='matrix',
version='ANY'
),
prototype=prototype(
version=new('version')
)#,
#package='swale'
)
## EEG/MEG data object
setClass(
Class='eeg.data',
representation=representation(
data='matrix',
trend='matrix',
trials='numeric',
samples='numeric',
sampRate='numeric',
channel='character',
condition='character',
within='character',
version='ANY'
),
prototype=prototype(
version=new('version')
)#,
#package='swale'
)
## SWALE internal object
setClass(
Class='swale.internal',
representation=representation(
waves='matrix',
amps='matrix',
lats='matrix',
model='matrix',
rss='numeric',
gradient='numeric',
version='ANY',
basis='ANY',
eeg.data='ANY'
),
prototype=prototype(
version=new('version')
)#,
#package='swale'
)
## SWALE solution object
setClass(
Class='swale.solution',
representation=representation(
waveform='matrix',
derivwave='matrix',
amplitude='matrix',
latency='matrix',
model='matrix',
latencyRange='numeric',
pp.latency='matrix',
pp.amplitude='matrix',
aic='numeric',
discard='numeric',
internal='ANY',
control='ANY',
version='ANY'
),
prototype=prototype(
version=new('version')
)#,
#package='swale'
)
setClass(
Class='control',
representation=representation(
iter.limit='numeric',
iter.convergence='numeric',
split.type='character', #how to split
peak.windows='ANY', #where to split ROWS = SPLITS (col = start,end)
peak.method = 'ANY',
disc.edge = 'ANY',
max.lat = 'ANY',
start.value = 'matrix',
output='logical',
version='ANY'
),
prototype=prototype(
iter.limit = 500,
iter.convergence = 1e-6,
split.type = 'none',
peak.windows = NULL,
peak.method = list('max'),
disc.edge = list(15),
max.lat = list(1.5),
output = TRUE,
version=new('version')
)#,
#package='swale'
)
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