Description Usage Arguments Value Note
generate modified friedman1 data set: 5 real, 5 uniform noise, 5 correlated with real, p-15 normal noise
1 | mz.friedman1(n = 100, p = 55)
|
n |
sample size |
p |
total predictors (>15) |
y is numeric vector, x is numeric data frame, already z scored (to matrix: data.matrix(x)), xy is a data frame with xy
Y = 10sin(pi X1 X2) + 20(X3 − 0.5)^2 + 10 X4 + 5 X5 + e
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