Summary of Continuous Variables — summarydata • ClinicoPath

This module generates descriptive statistics for continuous variables. It provides both a textual summary and a visually appealing summary table. Optionally, you can enable distribution diagnostics to examine normality, skewness, and kurtosis.

Usage

summarydata(
  data,
  vars,
  distr = FALSE,
  decimal_places = 2,
  outliers = FALSE,
  report_sentences = FALSE
)

Arguments

data: The data as a data frame.
vars: a string naming the variables from data that contains the continuous values used for the report
distr: If TRUE, additional distribution diagnostics (Shapiro-Wilk test, skewness, and kurtosis) will be computed and explained.
decimal_places: Number of decimal places to display for statistical measures. Default of 2 aligns with standard laboratory reporting.
outliers: If TRUE, detect and report potential outliers using IQR method. Helpful for quality control and identifying data entry errors.
report_sentences: If TRUE, generate copy-ready clinical report sentences for direct use in medical documentation.

Value

A results object containing:

`results$todo`					a html
`results$text`					a html
`results$text1`					a html
`results$clinicalInterpretation`					a html
`results$aboutAnalysis`					a html
`results$outlierReport`					a html
`results$reportSentences`					a html
`results$glossary`					a html

Examples

# \donttest{
# Example:
# 1. Load your data frame.
# 2. Select one or more continuous variables.
# 3. (Optional) Enable Distribution Diagnostics to view additional tests.
# 4. Run the summarydata module to see descriptive statistics and distribution characteristics.
# }