imed_stats: Conservative inferential statistics

In imedR: Guarded Evidence Synthesis for the Indian Microplastics Evidence Database

Conservative inferential statistics

Description

Tests are explicit, never auto-selected from p-values or normality alone.

Usage

imed_stats(
  x,
  value = "Mean",
  group = NULL,
  test = c("none", "welch", "wilcoxon", "kruskal")
)

Arguments

x	An 'imed_db', or a measurement-level data frame such as the output of 'imed_analysis_set()'. The comparability guard is applied, so the records must belong to one compatible comparability class.
value	Name of the numeric measurement field to analyse (default '"Mean"').
group	Grouping field (unquoted or quoted name); required when 'test' is not '"none"'.
test	Test to run: '"none"' (default), '"welch"', '"wilcoxon"' or '"kruskal"'. The test is never chosen automatically.

Value

An object of class 'c("imed_stats", "list")' with the elements 'descriptive' (a 'tibble' from 'imed_describe()'), 'normality' (a 'tibble' with the Shapiro-Wilk test, present when 3 to 5000 finite values are available) and 'test' (a 'tibble' with 'method', 'statistic' and 'p_value', present when 'test' is not '"none"').

Examples

toy <- data.frame(
  Study_ID = paste0("S", 1:12),
  Comparability_Class = "CLASS_A",
  Reported_Unit = "items/L",
  Metric_Type = "Abundance",
  Strict_Synthesis_Eligibility = "YES",
  Group = rep(c("g1", "g2"), 6),
  Mean = c(2.1, 3.4, 1.8, 4.0, 2.9, 3.1, 2.4, 3.8, 1.9, 3.3, 2.7, 4.2),
  SD = rep(c(0.6, 0.9), 6),
  N = rep(c(10, 12, 8), 4)
)
imed_stats(toy, group = "Group", test = "welch")

imedR documentation built on Nov. 3, 2026, 5:08 p.m.