datacoldM: Data with missing values

In cold: Count Longitudinal Data

Description

This example is an artificial data with missing values.

Usage

data("datacoldM")

Format

A data frame with 390 observations on the following 4 variables.

Subject

identifies de number of the individual profile.This vector contains observations of 30 individual profiles.

Treatment

a factor with levels 0 and 1.

Time

a numeric vector that identifies the number of the time points observed.

z

a numeric vector representing the response variable.

Examples

data(datacoldM)
 str(datacoldM)
 
mod0.M<- cold(z~Time*Treatment, data=datacoldM, time="Time", 
id="Subject", dependence="ind")
summary (mod0.M)

mod1.M<- cold(z~Time*Treatment, data=datacoldM, time="Time", 
id="Subject", dependence="AR1")
summary (mod1.M)

anova(mod0.M,mod1.M)

cold documentation built on Aug. 25, 2021, 5:06 p.m.