aNCA (version 0.1.0)

calculate_summary_stats: Calculate Summary Statistics

Description

This function calculates various summary statistics for formatted output of PKNCA::pk.nca().

Usage

calculate_summary_stats(data, input_groups = "ATPTREF")

Value

A data frame with summary statistics for each group and parameter.

Arguments

data

A data frame containing results of Non Compartmental Analysis using PKNCA package. Assumes presence of columns: PPORRES, PPSTRES, PPSTRESU, PPTESTCD

input_groups

A character vector specifying the columns to group by. Here. the hierarchical order matters Default is "PPSTRESU".

Details

The function calculates the following statistics for numeric variables:

• Geometric mean (geomean)

• Geometric coefficient of variation (geocv)

• Arithmetic mean (mean)

• Standard deviation (sd)

• Minimum value (min)

• Maximum value (max)

• Median value (median)

• Count of missing values (count.missing)

• Count (count)

The resulting summary statistics are rounded to three decimal places. If units are different, they are standardized to the group's most frequent first unit.

Examples

data <- data.frame(
  ATPTREF = c(1, 1, 1, 1, 1, 1),
  PPTESTCD = c("A", "A", "B", "B", "C", "C"),
  PPORRES = c(10, 20, 5, 15, NA, 30),
  PPSTRES = c(10, 20, 5, 15, NA, 30),
  PPORRESU = c("mg/L", "mg/L", "ng/mL", "ng/mL", "µg/L", "µg/L"),
  PPSTRESU = c("mg/L", "mg/L", "ng/mL", "ng/mL", "µg/L", "µg/L")
)
calculate_summary_stats(data)