MCResult.initialize: MCResult Object Initialization

In mcr: Method Comparison Regression

MCResult Object Initialization

Description

MCResult Object Initialization

Usage

MCResult.initialize(
  .Object,
  data = data.frame(X = NA, Y = NA),
  para = matrix(NA, ncol = 4, nrow = 2),
  mnames = c("unknown", "unknown"),
  regmeth = "unknown",
  cimeth = "unknown",
  error.ratio = 0,
  alpha = 0.05,
  weight = 1
)

Arguments

.Object	object of class "MCResult"
data	measurement data in matrix format. First column reference method (x), second column test method (y).
para	regression parameters in matrix form. Rows: Intercept, Slope. Cols: EST, SE, LCI, UCI.
mnames	names of reference and test method.
regmeth	name of statistical method used for regression.
cimeth	name of statistical method used for computing confidence intervals.
error.ratio	ratio between standard deviation of reference and test method.
alpha	numeric value specifying the 100(1-alpha)% confidence level of confidence intervals (Default is 0.05).
weight	weights to be used for observations

Value

MCResult object with initialized parameter.

mcr documentation built on Oct. 11, 2023, 5:14 p.m.