Enhanced Summary Statistics for Continuous and Date Variables

This function provides comprehensive descriptive statistics for continuous and date variables with multiple output formats and enhanced visualization capabilities. It supports various summary formats including standard descriptives, enhanced pivot tables, and automated EDA reports using the summarytools package.

Key Features:

• Multiple summary formats (standard, enhanced, pivot tables, summarytools)

• Date variable support with automatic format detection

• Distribution diagnostics (normality tests, skewness, kurtosis)

• Grouping capabilities for stratified analysis

• Professional HTML output with embedded visualizations

• Export-ready pivot tables with multiple layout styles

Summary Formats:

• Standard: Basic descriptive statistics (mean, SD, median, range)

• Enhanced (sumvar style): Comprehensive statistics with confidence intervals

• Pivot Enhanced: Professional pivot tables with customizable layouts

• summarytools Integration: Automated EDA with embedded visualizations

Value

A results object containing HTML summaries, pivot tables, and visualizations

Details

Date Variable Support: Automatically detects and parses multiple date formats including:

• YYYY-MM-DD (ISO 8601)

• DD/MM/YYYY and MM/DD/YYYY

• Date-time combinations with HMS

• Provides date-specific statistics (range, median date, time span)

Distribution Diagnostics: When enabled, provides comprehensive distributional analysis:

• Shapiro-Wilk normality test (for n=3-5000)

• Skewness and kurtosis measures

• Normality interpretation and recommendations

Pivot Table Layouts:

• Clinical: Optimized for clinical research presentations

• Statistical: Focused on statistical analysis requirements

• Comparative: Designed for comparative studies and meta-analyses

summarytools Integration: Leverages the summarytools package for automated EDA:

• dfSummary: Comprehensive dataset overview with embedded plots

• descr: Advanced descriptive statistics with robust measures

• freq: Enhanced frequency tables for categorical variables

Super classes

jmvcore::Analysis -> ClinicoPath::summarydata2Base -> summarydata2Class

Methods

Public methods

• summarydata2Class$clone()

Inherited methods

• jmvcore::Analysis$.createImage()
• jmvcore::Analysis$.createImages()
• jmvcore::Analysis$.createPlotObject()
• jmvcore::Analysis$.load()
• jmvcore::Analysis$.render()
• jmvcore::Analysis$.save()
• jmvcore::Analysis$.savePart()
• jmvcore::Analysis$.setCheckpoint()
• jmvcore::Analysis$.setParent()
• jmvcore::Analysis$.setReadDatasetHeaderSource()
• jmvcore::Analysis$.setReadDatasetSource()
• jmvcore::Analysis$.setResourcesPathSource()
• jmvcore::Analysis$.setStatePathSource()
• jmvcore::Analysis$addAddon()
• jmvcore::Analysis$asProtoBuf()
• jmvcore::Analysis$asSource()
• jmvcore::Analysis$check()
• jmvcore::Analysis$init()
• jmvcore::Analysis$optionsChangedHandler()
• jmvcore::Analysis$postInit()
• jmvcore::Analysis$print()
• jmvcore::Analysis$readDataset()
• jmvcore::Analysis$run()
• jmvcore::Analysis$serialize()
• jmvcore::Analysis$setError()
• jmvcore::Analysis$setStatus()
• jmvcore::Analysis$translate()
• ClinicoPath::summarydata2Base$initialize()

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Method clone()

The objects of this class are cloneable with this method.

Usage

summarydata2Class$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

Examples

# \donttest{
# Basic continuous variable summary
summarydata(
  data = mtcars,
  vars = c("mpg", "hp", "wt"),
  summary_format = "standard",
  distr = TRUE
)
#> Error in summarydata(data = mtcars, vars = c("mpg", "hp", "wt"), summary_format = "standard",     distr = TRUE): unused argument (summary_format = "standard")

# Enhanced pivot table summary
summarydata(
  data = clinical_data,
  vars = c("age", "weight", "height"),
  summary_format = "pivot",
  pivot_layout = "clinical",
  include_confidence = TRUE,
  advanced_metrics = TRUE
)
#> Error in summarydata(data = clinical_data, vars = c("age", "weight", "height"),     summary_format = "pivot", pivot_layout = "clinical", include_confidence = TRUE,     advanced_metrics = TRUE): unused arguments (summary_format = "pivot", pivot_layout = "clinical", include_confidence = TRUE, advanced_metrics = TRUE)

# Date variable analysis
summarydata(
  data = study_data,
  date_vars = c("enrollment_date", "follow_up_date"),
  summary_format = "sumvar"
)
#> Error in summarydata(data = study_data, date_vars = c("enrollment_date",     "follow_up_date"), summary_format = "sumvar"): unused arguments (date_vars = c("enrollment_date", "follow_up_date"), summary_format = "sumvar")

# Grouped analysis with summarytools
summarydata(
  data = trial_data,
  vars = c("baseline_score", "outcome_measure"),
  grvar = "treatment_group",
  summary_format = "summarytools_df",
  summarytools_graphs = TRUE
)
#> Error in summarydata(data = trial_data, vars = c("baseline_score", "outcome_measure"),     grvar = "treatment_group", summary_format = "summarytools_df",     summarytools_graphs = TRUE): unused arguments (grvar = "treatment_group", summary_format = "summarytools_df", summarytools_graphs = TRUE)
# }