Initiate an AnalysisParameters
object with the default analysis parameters for each of the analysis elements.
Usage
analysisParameters(elements = analysisElements())
Examples
p <- analysisParameters()
print(p)
#> Parameters:
#> pre-treatment
#> QC
#> occupancyFilter
#> cls = class
#> QCidx = QC
#> occupancy = 2/3
#> impute
#> cls = class
#> QCidx = QC
#> occupancy = 2/3
#> parallel = variables
#> seed = 1234
#> RSDfilter
#> cls = class
#> QCidx = QC
#> RSDthresh = 50
#> removeQC
#> cls = class
#> QCidx = QC
#> occupancyFilter
#> maximum
#> cls = class
#> occupancy = 2/3
#> impute
#> class
#> cls = class
#> occupancy = 2/3
#> seed = 1234
#> transform
#> TICnorm
#> refactor = TRUE
#>
#> modelling
#> randomForest
#> cls = class
#> rf = list()
#> reps = 1
#> binary = FALSE
#> comparisons = list()
#> perm = 0
#> returnModels = FALSE
#> seed = 1234
#>
#> correlations
#> method = pearson
#> pAdjustMethod = bonferroni
#> corPvalue = 0.05
#> minCoef = 0
#> maxCor = Inf