present_commutability_evaluation_results: Present every evaluated materials' commutability for every...

In pernille267/commutability.selectivity: Commutability and non-selectivity evaluation tools

Present every evaluated materials' commutability for every unique measurement system

Description

Present every evaluated materials' commutability for every unique measurement system

Usage

present_commutability_evaluation_results(
  data,
  evaluated_materials,
  LFDT = FALSE,
  R = 3,
  level = 0.99,
  method = "DGF",
  success = "Commutable",
  failure = "Non-commutable"
)

Arguments

data	A data frame or data table with format LFDT or WFDT enclosed with all replicated measurements. This is needed for computation
evaluated_materials	A data frame or data table with format LFDT or WFDT enclosed with all replicated measurements for evaluated materials such as EQAMs or CRMs. This is needed for computation
LFDT	Is data and evaluated_materials of format LDFT or WFDT?
R	An integer signifying the maximum number of replicated measurements performed on each evaluated material. This will shrink the width of the prediction interval and band because using the mean of replicates decreases uncertainty
level	A numeric value that captures the overall confidence level of the estimated prediction intervals. This is assumed to already be Bonferroni-corrected. The recommended base level is 0.99
method	Which regression estimator should be used to calculate prediction intervals. Write "DFG" (Default) for Deming regression with Gillard and Fuller method. Write "DCE" for CLSI method
success	In the summary table, what should we denote those pairs of evaluated materials and measurement systems where the evaluated materials are within prediction interval limits
failure	In the summary table, what should we denote those pairs of evaluated materials and measurement systems where the evaluated materials are outside prediction interval limits

Value

A data table with 1 + n columns and m rows. Here n is the number of unique measurement systems considered and m is the number of unique evaluated materials

Examples

present_commutability_evaluation_results(data = sampled_cs_measurements, evaluated_materials = sampled_eqam_measurements, method = "DCE")

pernille267/commutability.selectivity documentation built on July 20, 2022, 9:11 a.m.