wesdr {gamair} | R Documentation |
Diabetic retinopathy in Wisconsin
Description
The data, originally from the gss
package, record whether or not diabetic patients developed retinopathy along with three possible predictors.
Usage
data(wesdr)
Format
The wesdr
data frame has the following columns
- ret
binary variable: 1 = retinopathy, 0 = not.
- bmi
Body mass index (weight in kg divided by square of height in metres)
- gly
Glycosylated hemoglobin - the percentage of hemoglobin bound to glucuse in the blood. This reflects long term average blood glucose levels: less than 6% is typical of non-diabetics, but is only rarely acheived by diabetic patients.
- dur
Duration of disease in years.
Details
Retinopathy is a common problem in diabetic patients and the interst is in predicting the risk using the measured predictors.
Source
Data are from Chong Gu's gss
package.
Examples
require(gamair);require(mgcv)
data(wesdr)
## Smooth ANOVA model...
k <- 5
b <- gam(ret~s(dur,k=k)+s(gly,k=k)+s(bmi,k=k)+ti(dur,gly,k=k)+
ti(dur,bmi,k=k)+ti(gly,bmi,k=k),select=TRUE,
data=wesdr,family=binomial(),method="ML")
ow <- options(warn=-1) ## avoid complaint about zlim
plot(b,pages=1,scheme=1,zlim=c(-3,3))
options(ow)
[Package gamair version 1.0-2 Index]