Indonesian Children's Health Study of respiratory infections for a cohort of 275 Indonesian children. The data are longitudinal with each child having between 1 and 6 repeated measurements.
data(indonRespir)
A data frame with 1200 observations on the following 12 variables:
idnum
child identification number.
respirInfec
indicator of presence of resipiratory infection.
age
age of the child in years.
vitAdefic
indicator of Vitamin A deficiency: 1 = the child had Vitamin A deficiency, 0 = the child did not have Vitamin A deficiency.
female
indicator of child being female: 1 = the child is female, 0 = the child is male.
height
height of the child in centimeters.
stunted
indicator of the child being "short for his/her age": 1 = the child is "short for his/her age", 0 = the child is not "short for his/her age"
visit2
indicator that the child had exactly 2 clinical visits: 1 = the exact number of clinical visits was 2, 0 = the exact number of clinical visits was not 2.
visit3
indicator that the child had exactly 3 clinical visits: 1 = the exact number of clinical visits was 3, 0 = the exact number of clinical visits was not 3.
visit4
indicator that the child had exactly 4 clinical visits: 1 = the exact number of clinical visits was 4, 0 = the exact number of clinical visits was not 4.
visit5
indicator that the child had exactly 5 clinical visits: 1 = the exact number of clinical visits was 5, 0 = the exact number of clinical visits was not 5.
visit6
indicator that the child had exactly 6 clinical visits: 1 = the exact number of clinical visits was 6, 0 = the exact number of clinical visits was not 6.
Diggle, P., Heagerty, P., Liang, K.-L. and Zeger, S. (2002). Analysis of Longitudinal Data (Second Edition). Oxford: Oxford University Press.
# NOT RUN {
library(gammSlice) ; data(indonRespir)
plot(indonRespir$age,jitter(indonRespir$respirInfec))
# }
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