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