Reproducibility (Between-Lab Precision)

Calculates reproducibility statistics for measurements performed at different laboratories.

Usage

measure_reproducibility(
  data,
  response_col,
  lab_col,
  group_col = NULL,
  conf_level = 0.95
)

Arguments

data

A data frame containing measurements from multiple labs.

response_col

Name of the column containing the response values.

lab_col

Name of the column identifying the laboratory.

group_col

Optional grouping column (e.g., concentration level).

conf_level

Confidence level for intervals. Default is 0.95.

Value

A measure_precision object containing:

• Within-lab variance (repeatability)

• Between-lab variance

• Total reproducibility variance

• Corresponding CV estimates

Details

Reproducibility represents the precision of a method when performed at different laboratories. It includes both within-lab (repeatability) and between-lab variance components.

See also

measure_repeatability(), measure_intermediate_precision()

Other precision: measure_gage_rr(), measure_intermediate_precision(), measure_repeatability()

Examples

# Reproducibility across laboratories
set.seed(123)
data <- data.frame(
  lab_id = rep(c("Lab_A", "Lab_B", "Lab_C"), each = 10),
  concentration = rnorm(30, mean = 100, sd = 2) +
    rep(c(0, 3, -2), each = 10)  # Lab bias
)
measure_reproducibility(data, "concentration", lab_col = "lab_id")
#> measure_precision: reproducibility 
#> ──────────────────────────────────────────────────────────────────────────────── 
#> 
#> Variance Components:
#>   lab_id: 9.442 (71%)
#>   Residual: 3.805 (29%)
#> 
#> CV by component:
#>   lab_id: 3.1%
#>   Residual: 1.9%