| screen8 {htestClust} | R Documentation |
Example data for informative cluster size
Description
Simulated hypothetical clustered data created for illustration of functions in the htestClust package.
Usage
data(screen8)
Format
A data frame with 2224 rows and 12 columns:
- sch.id
identification variable for school (clusters).
- stud.id
identification variable for students within schools (observations within clusters).
- age
student age in years.
- gender
binary student gender.
- height
student height in inches.
- weight
student weight in lbs.
- math
score from standardized math test.
- read
score from standardized reading test.
- phq2
ordinal (0-6) score from a mental health screening; higher scores correspond to higher levels of depression.
- qfit
age-adjusted fitness quartile from physical health assessment at end of school year.
- qfit.s
age-adjusted fitness quartile from physical health assessment at beginning of school year.
- activity
student's primary after-school activity.
Details
Hypothetical data simulated for the following scenario.
An urban school district has collected demographic, biometric, and academic performance data
from graduating 8th grade students. screen8 contains a sample of this data from 2224 students across
73 schools. Student-level observations are clustered within schools.
The school district has implemented an incentive program in which schools with higher participation rates are
prioritized for classroom and technology upgrades. Cluster size could be informative in this data, as resource-poor
schools might have higher participation rates (larger cluster size), but also tend to have worse health metrics and
lower standardized test scores.
Author(s)
Mary Gregg
Examples
data(screen8)
head(screen8)
## plot average math scores by cluster size
cl.size <- as.numeric(table(screen8$sch.id))
ave.math <- tapply(screen8$math, list(screen8$sch.id), mean)
plot(cl.size, ave.math)