It consists of binary ratings, made by 5 dentists, of whether a given tooth was healthy (sound) or had caries, also known as cavities. The ratings were performed using X-ray only, which was thought to be more error-prone than visual/tactile assessment of each tooth. In total 3,689 ratings were made. This data is in 'grouped' format. Each row is one of the 'pattern' with the final columns being a tally of how many times that pattern occurs in the dataset.
cariesA data.frame with 6 columns and 32 rows.
The rating of the dentist 1
The rating of the dentist 2
The rating of the dentist 3
The rating of the dentist 4
The rating of the dentist 5
The number of times the rating pattern appears in the dataset
Espeland, Mark A., and Stanley L. Handelman. “Using Latent Class Models to Characterize and Assess Relative Error in Discrete Measurements.” Biometrics 45, no. 2 (1989): 587–99.