newMCResultJackknife: MCResultJackknife Object Constructor with Matrix in Wide...

In mcr: Method Comparison Regression

MCResultJackknife Object Constructor with Matrix in Wide Format as Input

Description

MCResultJackknife Object Constructor with Matrix in Wide Format as Input

Usage

newMCResultJackknife(
  wdata,
  para,
  sample.names = NULL,
  method.names = NULL,
  regmeth = "Unknown",
  glob.coef,
  cimeth = "unknown",
  B0jack,
  B1jack,
  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 test method (y).
para	regression parameters in matrix form. Rows: Intercept, Slope. Cols: EST, SE, LCI, UCI.
sample.names	names of individual data points, e.g. barcodes of measured samples.
method.names	names of reference and test method.
regmeth	name of statistical method used for regression.
glob.coef	global coefficients
cimeth	name of statistical method used for computing confidence intervals.
B0jack	jackknife intercepts
B1jack	jeckknife slopes
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	numeric vector specifying the weights used for each point

Value

MCResult object containing regression results.

mcr documentation built on Sept. 23, 2024, 5:10 p.m.