Enhanced Two-Way Frequency Analysis with BlueSky Integration

Usage

enhancedtwowayfrequency(
  data,
  rowVar,
  colVar,
  cellPercent = TRUE,
  rowPercent = FALSE,
  colPercent = FALSE,
  showCounts = TRUE,
  showTotals = TRUE,
  chiSquareTest = TRUE,
  fisherTest = FALSE,
  continuityCorrection = TRUE,
  associationMeasures = TRUE,
  residualAnalysis = FALSE,
  expectedFrequencies = FALSE,
  minimumExpected = 5,
  robustErrorHandling = TRUE,
  showDiagnostics = FALSE,
  detailedOutput = FALSE,
  clinicalInterpretation = TRUE,
  showRecommendations = FALSE,
  bluesky_integration = TRUE,
  comprehensive_output = FALSE,
  heatmapPlot = FALSE,
  mosaicPlot = FALSE,
  percentageDisplay = "percentage"
)

Arguments

data

.

rowVar

.

colVar

.

cellPercent

Display percentages of total sample (BlueSky BSkyTwoWayFrequency feature)

rowPercent

Display row-wise percentages (sum to 100\

colPercentDisplay column-wise percentages (sum to 100\ columns)

showCountsDisplay raw frequency counts in cross-tabulation

showTotalsInclude row and column totals in tables

chiSquareTestPerform Pearson's chi-square test for association

fisherTestPerform Fisher's exact test (recommended for small samples)

continuityCorrectionApply continuity correction for 2x2 tables

associationMeasuresCalculate Cramér's V, Phi coefficient, and other association measures

residualAnalysisCalculate and display standardized residuals for detecting patterns

expectedFrequenciesDisplay expected frequencies under independence assumption

minimumExpectedThreshold for warning about low expected frequencies

robustErrorHandlingUse BlueSky-style error handling with graceful degradation

showDiagnosticsDisplay diagnostic information about computations and assumptions

detailedOutputInclude comprehensive statistical details and interpretations

clinicalInterpretationProvide clinical context and interpretation guidance

showRecommendationsProvide recommendations based on analysis results

bluesky_integrationUse BlueSky R statistical environment features

comprehensive_outputInclude comprehensive statistical details and diagnostics

heatmapPlotCreate heatmap visualization of frequency table

mosaicPlotCreate mosaic plot showing proportional relationships

percentageDisplayFormat for displaying percentage values

A results object containing:

results$instructions					a html
results$observedFrequencies					a table
results$crossTabMatrix					a table
results$cellPercentMatrix					a table
results$rowPercentMatrix					a table
results$colPercentMatrix					a table
results$testResults					a table
results$associationMeasuresTable					a table
results$assumptionCheck					a table
results$diagnostics					Computational diagnostics and data quality assessment
results$comprehensiveAnalysisSummary					Enhanced statistical summary with BlueSky integration
results$recommendations					a html
results$clinicalInterpretationGuide					a html
results$methodsExplanation					a html
results$heatmapPlot					an image
results$mosaicPlot					an image
results$residualPlot					an image

Tables can be converted to data frames with asDF or as.data.frame. For example:results$observedFrequencies$asDFas.data.frame(results$observedFrequencies) Enhanced two-way frequency analysis toolkit with BlueSky integration for comprehensive cross-tabulation analysis. Includes cell, row, and column percentages, statistical tests for association, robust error handling, and clinical interpretation guidance. Perfect for exploring relationships between categorical variables in clinicopathological research.