| glass {catdata} | R Documentation |
Glass Identification
Description
A dataset coming from USA Forensic Science Service that distinguishes between six types of glass (four types of window glass, and three types nonwindow). Predictors are the refractive index and the oxide content of various minerals.
Usage
data(heart)
Format
A data frame with 214 observations on the following 10 variables.
RIRefractive index
NaOxide content of sodium
MgOxide content of magnesium
AlOxide content of aluminium
SiOxide content of silicon
KOxide content of potassium
CaOxide content of calcium
BaOxide content of barium
FeOxide content of iron
typeType of glass
Source
http://archive.ics.uci.edu/ml/datasets/Glass+Identification
References
Ripley, B. D. (1996), Pattern Recognition and Neural Networks, Cambridge University Press.
Examples
## Not run:
##example of analysis:
if(interactive()){vignette("prediction-glass")}
## End(Not run)
[Package catdata version 1.2.4 Index]