The respiratory status of patients recruited for a randomised clinical
multicenter trial.
Usage
data("respiratory")
Format
A data frame with 555 observations on the following 7 variables.
centre
the study center, a factor with levels 1 and
2.
treatment
the treatment arm, a factor with levels placebo
and treatment.
sex
a factor with levels female and male.
age
the age of the patient.
status
the respiratory status (response variable),
a factor with levels poor and good.
month
the month, each patient was examined at months
0, 1, 2, 3 and 4.
subject
the patient ID, a factor with levels 1 to
111.
Details
In each of two centres, eligible patients were randomly assigned
to active treatment or placebo. During the treatment, the respiratory
status (categorised poor or good) was determined at each
of four, monthly visits. The trial recruited 111 participants
(54 in the active group, 57 in the placebo group) and there were
no missing data for either the responses or the covariates. The
question of interest is to assess whether the treatment is effective
and to estimate its effect.
Note that the data are in long form, i.e, repeated measurments are
stored as additional rows in the data frame.
Source
C. S. Davis (1991), Semi-parametric and non-parametric methods
for the analysis of repeated measurements with applications to
clinical trials. Statistics in Medicine, 10,
1959–1980.
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.
R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
> library(HSAUR)
Loading required package: tools
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/HSAUR/respiratory.Rd_%03d_medium.png", width=480, height=480)
> ### Name: respiratory
> ### Title: Respiratory Illness Data
> ### Aliases: respiratory
> ### Keywords: datasets
>
> ### ** Examples
>
>
> data("respiratory", package = "HSAUR")
> mosaicplot(xtabs( ~ treatment + month + status, data = respiratory))
>
>
>
>
>
>
> dev.off()
null device
1
>