newMCResultAnalytical: MCResultAnalytical object constructor with matrix in wide...

In mcr: Method Comparison Regression

MCResultAnalytical object constructor with matrix in wide format as input.

Description

MCResultAnalytical object constructor with matrix in wide format as input.

Usage

newMCResultAnalytical(
  wdata,
  para,
  xmean,
  sample.names = NULL,
  method.names = NULL,
  regmeth = "Unknown",
  cimeth = "analytical",
  error.ratio = error.ratio,
  alpha = 0.05,
  weight = rep(1, nrow(wdata))
)

Arguments

wdata	Measurement data in matrix format. First column reference method (x), second column comparator method (y).
para	Regression parameters in matrix form. Rows: Intercept, Slope. Cols: EST, SE, LCI, UCI.
xmean	Global (weighted) mean of x-values.
sample.names	Names of individual data points, e.g. barcodes of measured samples.
method.names	Names of reference and comparator 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 comparator method.
alpha	1 - significance level for confidence intervals.
weight	numeric vector specifying the weights used for each point

Value

MCResultAnalytical object containing regression results.

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