mz.friedman1: generate modified friedman1 data set: 5 real, 5 uniform...
In jerryzhujian9/mzR: machine learning Zhu's miscellaneous R functions Edit
Description
Usage
Arguments
Value
Note
Description
generate modified friedman1 data set: 5 real, 5 uniform noise, 5 correlated with real, p-15 normal noise
Usage
1
mz.friedman1(n = 100, p = 55)
Arguments
n
sample size
p
total predictors (>15)
Value
y is numeric vector, x is numeric data frame, already z scored (to matrix: data.matrix(x)), xy is a data frame with xy
Note
Y = 10sin(pi X1 X2) + 20(X3 − 0.5)^2 + 10 X4 + 5 X5 + e
jerryzhujian9/mzR documentation built on Jan. 10, 2022, 10:17 a.m.
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Description Usage Arguments Value Note
Description
generate modified friedman1 data set: 5 real, 5 uniform noise, 5 correlated with real, p-15 normal noise
Usage
1 | mz.friedman1(n = 100, p = 55)
|
Arguments
n |
sample size |
p |
total predictors (>15) |
Value
y is numeric vector, x is numeric data frame, already z scored (to matrix: data.matrix(x)), xy is a data frame with xy
Note
Y = 10sin(pi X1 X2) + 20(X3 − 0.5)^2 + 10 X4 + 5 X5 + e
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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