sdwinsp2: Simulation of heteroscedastic data with identical...

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

Simulation of heteroscedastic data with identical non-selectivity profiles

Description

Simulation of data with identical selectivity profiles, but with heteroscedasticity. To be used in simulations. Setting either simulation parameters to 'r' will invoke random generation of these numbers. Note that specifying parameters both outside and inside of parameter_row will make those parameters outside being overridden.

Usage

sdwinsp2(
  n = "r",
  R = "r",
  cv_vec = "r",
  ci = "r",
  xi0 = 1,
  xi = 2,
  parameter_row = c(1)
)

Arguments

n	Integer or 'r' - number of unique samples
R	Integer or 'r' - number of unique replicated measurements of each sample
cv_vec	vector with two elements or 'r' - MS CVs in decimal
ci	vector with two elements or 'r' - Concentration interval
xi0	number that corresponds to starting SD respect to base SD
xi	number that corresponds to ending SD respect to starting SD
parameter_row	A data frame or data table with only 1 row. Should contain a subset of simulation parameters. Possible simulation parameters are n, R, cvx, cvy, ci_lwr and ci_upr, xi0, xi

Details

Combine with lapply() or sapply() to simulate more than one data table. For parallel computing use mc_sdwinsp2(). This function should only be used by advanced users. It is not user friendly for those not familiar with R

Value

A data table with 4 columns, two of which are measurement results from two MSs in comparison. In addition, n * R rows

Examples

sdwinsp2()

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