On this Picostat.com statistics page, you will find information about the respiratory data set which pertains to Respiratory Illness Data . The respiratory data set is found in the HSAUR R package. Try to load the respiratory data set in R by issuing the following command at the console data("respiratory"). This may load the data into a variable called respiratory. If R says the respiratory data set is not found, you can try installing the package by issuing this command install.packages("HSAUR") and then attempt to reload the data with library("HSAUR") followed by data("respiratory"). Perhaps strangley, if R gives you no output after entering a command, it means the command succeeded. If it succeeded you can see the data by typing respiratory at the command-line which should display the entire dataset.
If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the respiratory R data set. The size of this file is about 9,759 bytes.
Respiratory Illness Data
The respiratory status of patients recruited for a randomised clinical
A data frame with 555 observations on the following 7 variables.
the study center, a factor with levels
the treatment arm, a factor with levels
a factor with levels
the age of the patient.
the respiratory status (response variable),
a factor with levels
the month, each patient was examined at months
the patient ID, a factor with levels
In each of two centres, eligible patients were randomly assigned
to active treatment or placebo. During the treatment, the respiratory
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.
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,
data("respiratory", package = "HSAUR")
mosaicplot(xtabs( ~ treatment + month + status, data = respiratory))
Dataset imported from https://www.r-project.org.