Description Usage Arguments Value Note See Also Examples
Creates one simulation of train/holdout/validation data sets, then runs the four algorithms on that data. Returns a data frame of run results for each.
1 2 3 4 5 6 7 | paperSimWorkflow(
n.samples = 100,
n.variables = 100,
pct.signals = 0.1,
update.freq = 10,
verbose = FALSE
)
|
n.samples |
An integer for the number of samples |
n.variables |
An integer for the number of variables |
pct.signals |
A numeric for the significant variable bias |
update.freq |
A integer for the number of steps before update |
verbose |
A flag indicating whether verbose output be sent to stdout |
A list containing:
data frame of run results of each sim type
total elapsed time
Default parameter values match those from the Bioinformatics paper.
The workflow consists of the sequence:
createSimulation
privateEC
originalThresholdout
privateRF
standardRF
and
compileAndSaveAllResults
. A comparison analysis with real data (fMRI)
is in paperRealWorkflow
.
Other workflows:
compileAndSaveAllResults()
,
paperRealWorkflow()
,
plotRunResults()
1 2 3 4 5 6 7 8 9 | num.samples <- 100
num.variables <- 100
pct.signals <- 0.1
upd.frq <- 0.1 * num.variables
one.step.result <- paperSimWorkflow(n.samples = num.samples,
n.variables = num.variables,
pct.signals = pct.signals,
update.freq = upd.frq,
verbose = FALSE)
|
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