cltrain {locfit}R Documentation

Training dataset for classification


200 observations from a 2 population model. Under population 0, x_{1,i} has a standard normal distribution, and x_{2,i} = (2-x_{1,i}^2+z_i)/3, where z_i is also standard normal. Under population 1, x_{2,i} = -(2-x_{1,i}^2+z_i)/3. The optimal classification regions form a checkerboard pattern, with horizontal boundary at x_2=0, vertical boundaries at x_1 = pm sqrt{2}.

This is the same model as the cltest dataset.




Data Frame. Three variables x1, x2 and y. The latter indicates class membership.

[Package locfit version 1.1-9 Index]