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Laboratory Results with Longitudinal Structure

Source: R/data_toolssummary_docs.R
toolssummary_laboratory_results.Rd

Simulated laboratory test results dataset with multiple visit timepoints, comprehensive lab panels, and clinical categories. Designed to test descriptive statistics tables, visit-based grouping, longitudinal data presentation, and laboratory data summaries using summarytools enhanced functionality.

Usage

toolssummary_laboratory_results

Format

A data frame with 200 observations and 15 variables:

subject_id

Character. Unique subject identifier (LAB_0001 to LAB_0050, repeated)

visit

Factor. Study visit ("Baseline", "Week 4", "Week 8", "Week 12")

visit_date

Date. Date of laboratory assessment

lab_category

Factor. Clinical interpretation ("Normal", "Borderline", "Abnormal")

urgency

Factor. Test urgency level ("Routine", "STAT", "Priority")

wbc

Numeric. White blood cell count (2.0-15.0 × 10³/μL)

rbc

Numeric. Red blood cell count (3.5-6.0 × 10⁶/μL)

hematocrit

Numeric. Hematocrit percentage (30-55%)

platelets

Integer. Platelet count (100-500 × 10³/μL)

sodium

Integer. Serum sodium (130-150 mEq/L)

potassium

Numeric. Serum potassium (3.0-5.5 mEq/L)

creatinine

Numeric. Serum creatinine (0.5-3.0 mg/dL) with ~4% missing

bun

Integer. Blood urea nitrogen (7-50 mg/dL)

alt

Integer. Alanine aminotransferase (5-100 U/L) with ~2% missing

ast

Integer. Aspartate aminotransferase (5-120 U/L)

Source

Simulated data generated using create_toolssummary_test_data.R

Details

This dataset represents laboratory test results from a longitudinal clinical study with 50 subjects followed across 4 timepoints. Laboratory values are within realistic clinical ranges with appropriate inter-test correlations and visit-to-visit variability. Perfect for testing summarytools capabilities with repeated measures data.

Key Features:

  • Complete blood count (CBC) and chemistry panels

  • Longitudinal structure with 4 visit timepoints

  • Clinical categorization and urgency levels

  • Realistic laboratory value ranges and correlations

  • Date variables for temporal analysis

  • Missing data patterns reflecting real laboratory studies

summarytools Integration Testing:

  • dfSummary: Laboratory panel overview with value distributions

  • freq: Categorical analysis of lab categories and urgency levels

  • descr: Comprehensive statistics for all laboratory values

  • ctable: Cross-tabulations by visit or clinical categories

Recommended Usage Scenarios:

  • Laboratory value summaries by visit timepoint

  • Normal vs abnormal result analysis

  • Longitudinal laboratory trend assessment

  • Clinical decision support data presentation

See also

toolssummary, toolssummary_datasets

Examples

if (FALSE) { # \dontrun{
# Load the dataset
data(toolssummary_laboratory_results)

# Laboratory values summary with enhanced statistics
result <- toolssummary(
  data = toolssummary_laboratory_results,
  vars = c("wbc", "rbc", "sodium", "potassium", "alt"),
  useSummarytools = TRUE,
  showDescr = TRUE,
  showDfSummary = TRUE
)

# Analysis by visit timepoint
result_visit <- toolssummary(
  data = toolssummary_laboratory_results,
  vars = c("wbc", "hematocrit", "platelets", "creatinine"),
  groupVar = "visit",
  useSummarytools = TRUE,
  showCrosstabs = TRUE
)
} # }