Nothing
context('Diagnostic Plotting')
test_that(
"Everything"
, {
skip_on_cran()
pCorr <- plotCorrelations(sampleMiceDefs)
pCorr <- plotCorrelations(sampleMiceDefs,factCorrMetric = "TschuprowT",numbCorrMetric = "spearman")
pCorr <- plotCorrelations(sampleMiceDefs,numbCorrMetric = "Rsquared")
pCorr <- plotCorrelations(sampleMiceDefs,numbCorrMetric = "kendall")
pCorr <- plotCorrelations(sampleMiceDefs)
pDist <- plotDistributions(sampleMiceDefs)
pImpV <- plotImputationVariance(sampleMiceDefs)
pMoEr <- plotModelError(sampleMiceDefs)
pVcon <- plotVarConvergence(sampleMiceDefs)
pVImp <- plotVarImportance(sampleMiceDefs)
}
)
test_that(
"allNumeric"
, {
skip_on_cran()
v <- "allNumeric"
pCorrN <- plotCorrelations(sampleMiceDefs,vars=v)
pDistN <- plotDistributions(sampleMiceDefs,vars=v)
pImpVN <- plotImputationVariance(sampleMiceDefs,vars=v)
pMoErN <- plotModelError(sampleMiceDefs,vars=v)
pVconN <- plotVarConvergence(sampleMiceDefs,vars=v)
}
)
test_that(
"allCategorical"
, {
skip_on_cran()
v <- "allCategorical"
pCorrC <- plotCorrelations(sampleMiceDefs,vars=v)
pDistC <- plotDistributions(sampleMiceDefs,vars=v)
pImpVC <- plotImputationVariance(sampleMiceDefs,vars=v)
pMoErC <- plotModelError(sampleMiceDefs,vars=v)
pVconC <- plotVarConvergence(sampleMiceDefs,vars=v)
}
)
test_that(
"Species"
, {
skip_on_cran()
v <- "Species"
pCorrC <- plotCorrelations(sampleMiceDefs,vars=v)
pDistC <- plotDistributions(sampleMiceDefs,vars=v)
pImpVC <- plotImputationVariance(sampleMiceDefs,vars=v)
pMoErC <- plotModelError(sampleMiceDefs,vars=v)
pVconC <- plotVarConvergence(sampleMiceDefs,vars=v)
}
)
test_that(
"Petal.Width"
, {
skip_on_cran()
v <- "Petal.Width"
pCorrC <- plotCorrelations(sampleMiceDefs,vars=v)
pDistC <- plotDistributions(sampleMiceDefs,vars=v)
pImpVC <- plotImputationVariance(sampleMiceDefs,vars=v)
pMoErC <- plotModelError(sampleMiceDefs,vars=v)
pVconC <- plotVarConvergence(sampleMiceDefs,vars=v)
}
)
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