dosescalett: Rescaling dose variables acc. to Tukey et al. (1985)

In tukeytrend: Tukeys Trend Test via Multiple Marginal Models

Description

Add rescaled dose variables to a data.frame.

Usage

dosescalett(data, dose, 
scaling = c("ari", "ord", "log", "arilog"),
sep = "", d0shift = 1)

Arguments

data	a data.frame
dose	a single charcater string, naming the (numeric) variable in data that is to be rescaled
scaling	A vector of character strings, naming the options for rescaling the variable specified in dose: "ari": no rescaling, "ord": ranks of dose levels, "log": log-transformed dose levels, "arilog": log-transformned dose levels, with interpolated dose score for 0, "high.vs.low": dose coerced to a factor, and only highest and lowest dose level retained, all others set NA, "treat": dose coerced to a factor, all levels retained with the option to apply multiple contrast tests to the treatment levels
sep	an optional separator for the names of the rescaled variables
d0shift	an optional factor, that is multiplied with the interpolated dose score for dose = 0 in option scaling="arilog"; ignored in all other options for rescaling

Value

A list containing

data	the input data.frame, with rescaled variables added as colummns
transnam	a vector of names of the re-scaled variables
scaling	the scaling options, as input

tukeytrend documentation built on March 13, 2020, 5:06 p.m.