| myopia {aplore3} | R Documentation |
MYOPIA data
Description
myopia dataset.
Usage
myopia
Format
A data.frame with 618 rows and 18 variables:
- id
Subject identifier (1-1503)
- studyyear
Year subject entered the study (Year)
- myopic
Myopia within the first five years of follow up (1: No, 2: Yes)
- age
Age at first visit (Years)
- gender
Gender (1: Male, 2: Female)
- spheq
Spherical Equivalent Refraction (diopter)
- al
Axial Length (mm)
- acd
Anterior Chamber Depth (mm)
- lt
Lens Thickness (mm)
- vcd
Vitreous Chamber Depth (mm)
- sporthr
How many hours per week outside of school the child spent engaging in sports/outdoor activities (Hours per week)
- readhr
How many hours per week outside of school the child spent reading for pleasure (Hours per week)
- comphr
How many hours per week outside of school the child spent playing video/computer games or working on the computer (Hours per week)
- studyhr
How many hours per week outside of school the child spent reading or studying for school assignments (Hours per week)
- tvhr
How many hours per week outside of school the child spent watching television (Hours per week)
- diopterhr
Composite of near-work activities (Hours per week)
- mommy
Was the subject's mother myopic? (1: No, 2: Yes)
- dadmy
Was the subject's father myopic? (1: No, 2: Yes)
Source
Hosmer, D.W., Lemeshow, S. and Sturdivant, R.X. (2013) Applied Logistic Regression, 3rd ed., New York: Wiley
Examples
head(myopia, n = 10)
summary(myopia)