combtt: Combine several pobjects of class 'tukeytrend'

In tukeytrend: Tukeys Trend Test via Multiple Marginal Models

Description

Concatenate several objects of class 'tukeytrend', for example to perform inference for multiple marginal models with different endpoints or including different covariates.

Usage

combtt(...)

Arguments

...	names of tukeytrend objects (for multiple endpoinst, or with different covariates), separated by comma

Value

Same structure as output of tuketrendfit, see tukeytrendfit, tukeytrendformula

Examples

# Simulated data for normal and binomial response

dat <- data.frame(y = rnorm(20,0,1), 
 succ=rbinom(n=20, size=10, prob=0.3), 
 dose=rep(c(0,1,2,5,10), each=4))

# linear models with 3 different 
# scalings of the dose variable

fitn <- lm(y~dose, data=dat)
ttn <- tukeytrendfit(fitn, dose="dose",
 scaling=c("ari", "ord", "arilog"))

# generalized linear models with 3 
# different scalings of the dose variable
fitb <- glm(cbind(succ, 10-succ)~dose, data=dat, family=binomial)
ttb <- tukeytrendfit(fitb, dose="dose", 
 scaling=c("ari", "ord", "arilog"))

# concatenate the normal and binomial models
ttnb <- combtt(ttn, ttb)

# joint inference for the 6 regression slopes
summary(asglht(ttnb))

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