orange4.test: Simulated Orange Data
In ElemStatLearn: Data Sets, Functions and Examples from the Book: "The Elements of Statistical Learning, Data Mining, Inference, and Prediction" by Trevor Hastie, Robert Tibshirani and Jerome Friedman
Description
Usage
Format
Source
Examples
Description
These simulation data are described on the revised page 384-5 of the
book. See the errata file for a revised version if your book is not
the fourth or later printing.
There are 50 x four datasets - training and test data for the four
dimensional problem, and training and test data for the 10
dimensional problem.
Usage
1
Format
The format is:
List of 50
\$ 1 :‘data.frame’: 1000 obs. of 6 variables:
..\$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..\$ F1 : num [1:1000] 2.352 -0.295 1.000 -0.133 -0.774 ...
..\$ F2 : num [1:1000] -1.56 -2.08 1.59 -1.39 0.25 ...
..\$ F3 : num [1:1000] -1.058 0.355 1.779 2.281 1.486 ...
..\$ F4 : num [1:1000] -0.0382 2.2957 -1.8081 1.5588 -3.0523 ...
..\$ f : Factor w/ 50 levels "1","2","3","4",..: 1 1 1 1 1 1 1 1 1 1 ...
... and then 49 similar ones.
Source
Data simulated for the book.
Examples
1
Example output
List of 50
$ 1 :'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 2.352 -0.295 1 -0.133 -0.774 ...
..$ F2 : num [1:1000] -1.56 -2.08 1.59 -1.39 0.25 ...
..$ F3 : num [1:1000] -1.058 0.355 1.779 2.281 1.486 ...
..$ F4 : num [1:1000] -0.0382 2.2957 -1.8081 1.5588 -3.0523 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 1 1 1 1 1 1 1 1 1 1 ...
$ 2 :'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -0.688 0.213 -0.795 -0.837 -2.183 ...
..$ F2 : num [1:1000] -0.951 -1.367 -1.108 -0.84 0.596 ...
..$ F3 : num [1:1000] 0.955 -2.739 3.339 -3.192 -2.541 ...
..$ F4 : num [1:1000] 2.664 1.508 -0.607 0.203 -0.546 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 2 2 2 2 2 2 2 2 2 2 ...
$ 3 :'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 0.298 -0.618 1.573 1.168 0.681 ...
..$ F2 : num [1:1000] 2.39 2.34 2.46 2.57 1.67 ...
..$ F3 : num [1:1000] -1.24 2 -1.02 1.08 1.71 ...
..$ F4 : num [1:1000] 2.084 -0.577 0.662 2.083 1.691 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 3 3 3 3 3 3 3 3 3 3 ...
$ 4 :'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -3.024 -1.747 -1.222 -1.63 -0.957 ...
..$ F2 : num [1:1000] -1.91 -3.32 1.65 2.27 -2.64 ...
..$ F3 : num [1:1000] -0.0881 0.9196 1.3332 -1.2033 -0.7834 ...
..$ F4 : num [1:1000] 1.579 -0.4771 1.9836 -0.0584 1.2025 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 4 4 4 4 4 4 4 4 4 4 ...
$ 5 :'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 2.42 -2.31 2.34 -2.28 1.3 ...
..$ F2 : num [1:1000] 0.615 -0.738 -1.527 0.992 -0.682 ...
..$ F3 : num [1:1000] 1.953 -2.156 0.988 2.535 -0.364 ...
..$ F4 : num [1:1000] 0.726 1.252 -1.135 1.009 -2.793 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 5 5 5 5 5 5 5 5 5 5 ...
$ 6 :'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 2.315 0.467 0.624 0.958 -0.771 ...
..$ F2 : num [1:1000] 1.26 -2.37 1.92 -2.85 -1.94 ...
..$ F3 : num [1:1000] -1.361 -2.001 -2.636 -0.825 0.311 ...
..$ F4 : num [1:1000] -2.0605 1.0466 0.0405 1.0494 -2.44 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 6 6 6 6 6 6 6 6 6 6 ...
$ 7 :'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -0.143 -0.546 1.481 1.525 -1.03 ...
..$ F2 : num [1:1000] -2.649 2.371 1.891 0.576 -2.751 ...
..$ F3 : num [1:1000] -0.501 1.706 -0.514 2.399 -0.38 ...
..$ F4 : num [1:1000] 2.183 -0.815 2.069 -0.919 -0.948 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 7 7 7 7 7 7 7 7 7 7 ...
$ 8 :'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -1.011 0.706 1.316 -1.812 1.95 ...
..$ F2 : num [1:1000] -2.807 0.587 0.058 -2.233 1.13 ...
..$ F3 : num [1:1000] 0.228 2.625 -2.777 -1.493 -0.967 ...
..$ F4 : num [1:1000] -1.413 1.942 0.415 -1.217 2.026 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 8 8 8 8 8 8 8 8 8 8 ...
$ 9 :'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 0.0453 -2.2349 -0.5479 1.4971 0.1758 ...
..$ F2 : num [1:1000] -1.429 0.217 1.097 2.689 -2.807 ...
..$ F3 : num [1:1000] -2.89 2.906 2.897 -0.329 -1.124 ...
..$ F4 : num [1:1000] -1.204 0.341 0.925 1.139 -0.952 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 9 9 9 9 9 9 9 9 9 9 ...
$ 10:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -1.542 -0.172 1.363 0.785 2.526 ...
..$ F2 : num [1:1000] 0.532 -1.562 1.859 -2.769 -1.043 ...
..$ F3 : num [1:1000] 2.687 -2.124 -2.688 -0.334 1.966 ...
..$ F4 : num [1:1000] -1.331 -1.494 1.709 -0.868 1.712 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 10 10 10 10 10 10 10 10 10 10 ...
$ 11:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 2.749 1.219 1.529 0.255 2.536 ...
..$ F2 : num [1:1000] -0.471 -2.557 -0.52 -0.147 0.462 ...
..$ F3 : num [1:1000] -0.17 1.061 -0.362 -2.382 -1.781 ...
..$ F4 : num [1:1000] -1.46 0.19 -2.53 1.93 1.71 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 11 11 11 11 11 11 11 11 11 11 ...
$ 12:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 2.519 -1.14 -0.441 0.386 1.916 ...
..$ F2 : num [1:1000] 1.508 0.491 -3.064 -1.528 1.275 ...
..$ F3 : num [1:1000] 1.2085 3.0766 0.0362 2.5519 2.0979 ...
..$ F4 : num [1:1000] -0.5555 0.641 0.1514 -1.5764 -0.0273 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 12 12 12 12 12 12 12 12 12 12 ...
$ 13:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 0.662 -1.427 0.199 1.626 -2.083 ...
..$ F2 : num [1:1000] 1.371 -2.104 -2.545 -0.115 2.957 ...
..$ F3 : num [1:1000] 1.173 0.631 2.09 2.058 1.195 ...
..$ F4 : num [1:1000] 2.8372 -1.5471 0.0574 1.8765 -0.5303 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 13 13 13 13 13 13 13 13 13 13 ...
$ 14:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 0.0816 -2.958 -1.0402 -0.2959 0.2246 ...
..$ F2 : num [1:1000] -1.419 0.84 -1.503 -0.486 0.597 ...
..$ F3 : num [1:1000] 2.3827 -0.0375 -0.2604 -2.9427 -0.9474 ...
..$ F4 : num [1:1000] 1.426 0.166 3.091 -0.684 2.8 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 14 14 14 14 14 14 14 14 14 14 ...
$ 15:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -2.72 -1.95 -1.43 -1.3 2.58 ...
..$ F2 : num [1:1000] 0.689 0.847 -1.962 0.255 0.829 ...
..$ F3 : num [1:1000] -0.019 -2.481 1.852 -1.04 -2.061 ...
..$ F4 : num [1:1000] -1.328 -0.23 0.568 -2.699 -0.591 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 15 15 15 15 15 15 15 15 15 15 ...
$ 16:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -2.985 -1.588 -0.381 3.377 -1.512 ...
..$ F2 : num [1:1000] -1.392 2.481 -2.76 -0.239 -1.347 ...
..$ F3 : num [1:1000] -0.5586 0.1925 -0.1094 0.0629 2.2316 ...
..$ F4 : num [1:1000] -2.01 -2.28 2.09 1.34 1.66 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 16 16 16 16 16 16 16 16 16 16 ...
$ 17:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 1.119 2.12 -2.357 -0.236 -1.308 ...
..$ F2 : num [1:1000] -0.2419 0.0347 -0.3944 0.0104 1.402 ...
..$ F3 : num [1:1000] -2.965 2.058 -0.787 1.082 -2.54 ...
..$ F4 : num [1:1000] 0.754 -1.389 -2.15 -3.121 0.583 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 17 17 17 17 17 17 17 17 17 17 ...
$ 18:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 0.403 -3.206 0.467 -2.54 -2.189 ...
..$ F2 : num [1:1000] -2.484 0.399 3.45 0.803 0.772 ...
..$ F3 : num [1:1000] -1.441 -0.939 -0.703 -1.774 -1.339 ...
..$ F4 : num [1:1000] -1.507 0.307 -0.62 1.325 2.231 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 18 18 18 18 18 18 18 18 18 18 ...
$ 19:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -1.89 2.75 -1.53 1.1 1.57 ...
..$ F2 : num [1:1000] 0.403 -0.495 -0.24 2.775 2.599 ...
..$ F3 : num [1:1000] -0.114 1.012 3.153 -0.105 -1.2 ...
..$ F4 : num [1:1000] 2.337 -0.553 1.564 0.346 -0.572 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 19 19 19 19 19 19 19 19 19 19 ...
$ 20:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -2.834 1.843 -2.307 2.463 0.909 ...
..$ F2 : num [1:1000] -0.582 -1.167 -0.708 1.527 3.137 ...
..$ F3 : num [1:1000] -1.429 1.127 -0.441 -0.454 0.211 ...
..$ F4 : num [1:1000] 1.22872 3.10045 -1.84435 -1.25516 -0.00174 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 20 20 20 20 20 20 20 20 20 20 ...
$ 21:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 2.429 -2.166 0.22 -0.0641 -2.4497 ...
..$ F2 : num [1:1000] -0.0414 -2.0196 -2.1137 -2.3031 1.1774 ...
..$ F3 : num [1:1000] -1.067 1.321 -0.152 -0.201 0.389 ...
..$ F4 : num [1:1000] 1.88 -1 3.02 2.68 1.33 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 21 21 21 21 21 21 21 21 21 21 ...
$ 22:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 2.2962 2.1793 -0.659 0.0184 -0.4521 ...
..$ F2 : num [1:1000] -0.168 -1.004 1.454 -1.281 -1.324 ...
..$ F3 : num [1:1000] 2.236 -2.8 -0.893 -2.746 2.746 ...
..$ F4 : num [1:1000] 0.451 -0.909 2.609 -0.86 -0.576 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 22 22 22 22 22 22 22 22 22 22 ...
$ 23:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -1.0965 -0.3101 -0.6169 0.0722 -2.2779 ...
..$ F2 : num [1:1000] 1.194 2.936 -1.384 0.886 0.137 ...
..$ F3 : num [1:1000] 0.815 -1.499 2.422 2.241 1.294 ...
..$ F4 : num [1:1000] -2.69 -0.691 -2.558 1.92 2.451 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 23 23 23 23 23 23 23 23 23 23 ...
$ 24:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 0.406 0.831 2.401 0.613 -1.736 ...
..$ F2 : num [1:1000] -1.32 0.273 1.116 -2.824 0.543 ...
..$ F3 : num [1:1000] -0.48 3.242 -0.211 -1.242 2.325 ...
..$ F4 : num [1:1000] -3.588 0.207 1.559 -0.923 -1.126 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 24 24 24 24 24 24 24 24 24 24 ...
$ 25:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 2.331 2.357 -1.143 -1.181 -0.932 ...
..$ F2 : num [1:1000] 1.626 0.606 2.195 -0.265 2.795 ...
..$ F3 : num [1:1000] 0.953 1.172 -1.545 -2.342 0.54 ...
..$ F4 : num [1:1000] -0.18 1.426 -1.023 -1.453 -0.369 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 25 25 25 25 25 25 25 25 25 25 ...
$ 26:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 1.376 -1.291 0.168 1.878 2.326 ...
..$ F2 : num [1:1000] 0.492 0.7931 1.1489 -1.0441 0.0575 ...
..$ F3 : num [1:1000] -0.329 -0.102 2.868 1.116 1.804 ...
..$ F4 : num [1:1000] 3.122 2.881 -0.238 -2.413 0.967 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 26 26 26 26 26 26 26 26 26 26 ...
$ 27:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -0.613 -0.676 -0.947 -2.614 1.191 ...
..$ F2 : num [1:1000] -0.204 1.958 0.743 1.658 -2.712 ...
..$ F3 : num [1:1000] -0.25 -2.488 -2.67 -1.445 0.437 ...
..$ F4 : num [1:1000] 3.39 1.365 -1.276 0.696 0.445 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 27 27 27 27 27 27 27 27 27 27 ...
$ 28:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 2.952 0.105 -1.096 0.211 -2.19 ...
..$ F2 : num [1:1000] -0.5 -0.428 1.159 -2.027 0.702 ...
..$ F3 : num [1:1000] 0.241 -2.496 -0.223 -0.678 -2.161 ...
..$ F4 : num [1:1000] 0.5 -1.671 2.657 -2.241 0.329 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 28 28 28 28 28 28 28 28 28 28 ...
$ 29:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 1.089 -0.533 0.23 -1.475 3.259 ...
..$ F2 : num [1:1000] 0.33 2.81 -1.38 1.15 0.43 ...
..$ F3 : num [1:1000] 1.864 0.814 -1.965 0.439 -0.43 ...
..$ F4 : num [1:1000] -2.403 0.406 2.091 2.752 -0.17 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 29 29 29 29 29 29 29 29 29 29 ...
$ 30:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 1.42 3.14 1.13 1.72 1.96 ...
..$ F2 : num [1:1000] -2.34 0.8 1.92 -2.16 -2.52 ...
..$ F3 : num [1:1000] -1.562 -0.145 -2.171 -0.55 1.022 ...
..$ F4 : num [1:1000] 0.893 0.382 -0.586 1.206 0.983 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 30 30 30 30 30 30 30 30 30 30 ...
$ 31:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -2.589 -0.879 -1.458 1.875 -1.173 ...
..$ F2 : num [1:1000] -0.0921 -3.0533 -2.3637 -0.589 2.2107 ...
..$ F3 : num [1:1000] 1.346 0.143 1.2 -1.803 -2.168 ...
..$ F4 : num [1:1000] -1.523 0.453 1.898 2.314 2.039 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 31 31 31 31 31 31 31 31 31 31 ...
$ 32:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -1.37 -1.813 -2.487 -0.989 0.45 ...
..$ F2 : num [1:1000] 2.127 2.559 0.802 2.556 -1.008 ...
..$ F3 : num [1:1000] -2.031 -0.197 0.317 2.716 -2.765 ...
..$ F4 : num [1:1000] 1.464 -0.452 -1.586 -0.495 -1.083 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 32 32 32 32 32 32 32 32 32 32 ...
$ 33:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -2.097 0.231 -0.609 1.601 2.304 ...
..$ F2 : num [1:1000] 1.123 2.313 -0.643 1.187 -0.374 ...
..$ F3 : num [1:1000] 1.13 -1.19 -2.17 1.21 3.02 ...
..$ F4 : num [1:1000] -1.656 -2.161 -2.148 2.498 0.386 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 33 33 33 33 33 33 33 33 33 33 ...
$ 34:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 0.4809 -2.9118 -1.611 -0.0906 1.4684 ...
..$ F2 : num [1:1000] -0.223 -0.688 -2.856 1.283 -2.198 ...
..$ F3 : num [1:1000] 0.515 0.54 1.084 2.549 -0.44 ...
..$ F4 : num [1:1000] -3.6602 -1.5862 0.0593 2.5676 1.4636 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 34 34 34 34 34 34 34 34 34 34 ...
$ 35:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -2.22829 0.00652 0.51303 -3.00495 -0.8946 ...
..$ F2 : num [1:1000] -1.47 -2.58 -1.94 0.78 -2.5 ...
..$ F3 : num [1:1000] 1.635 1.162 1.453 -0.315 -0.231 ...
..$ F4 : num [1:1000] -0.1706 1.414 2.839 0.0263 1.8595 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 35 35 35 35 35 35 35 35 35 35 ...
$ 36:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -0.632 0.879 0.596 -2.591 0.774 ...
..$ F2 : num [1:1000] -0.452 -2.958 0.538 0.259 3.356 ...
..$ F3 : num [1:1000] 0.465 0.303 -2 1.527 0.914 ...
..$ F4 : num [1:1000] 2.87 1.73 -2.49 -1.18 1.46 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 36 36 36 36 36 36 36 36 36 36 ...
$ 37:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -1.432 2.972 -2.168 -0.453 1.102 ...
..$ F2 : num [1:1000] 0.291 1.238 1.493 -3.002 0.65 ...
..$ F3 : num [1:1000] -0.6816 -0.6004 -1.3828 1.5702 -0.0687 ...
..$ F4 : num [1:1000] 3.196 0.535 0.617 -1.606 -3.334 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 37 37 37 37 37 37 37 37 37 37 ...
$ 38:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -2.517 -1.26 0.387 -2.639 2.084 ...
..$ F2 : num [1:1000] 1.454 -0.72 3.193 -0.098 2.122 ...
..$ F3 : num [1:1000] -0.9261 -2.2702 0.0343 2.2891 -0.1917 ...
..$ F4 : num [1:1000] 0.233 1.331 -0.583 -0.368 -1.388 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 38 38 38 38 38 38 38 38 38 38 ...
$ 39:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -0.112 2.0649 2.429 0.0088 1.5174 ...
..$ F2 : num [1:1000] 2.75 2.03 -1.11 -2.32 -0.67 ...
..$ F3 : num [1:1000] -1.273 0.806 -0.877 2.248 -2.642 ...
..$ F4 : num [1:1000] -0.388 0.593 1.078 -1.409 0.208 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 39 39 39 39 39 39 39 39 39 39 ...
$ 40:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 1.02 1.33 -1.97 1.1 3.21 ...
..$ F2 : num [1:1000] 1.03 1.85 -2.59 -2.2 -1.75 ...
..$ F3 : num [1:1000] 2.6004 1.736 -0.0673 -2.3823 0.8544 ...
..$ F4 : num [1:1000] 1.454 -1.303 -1.46 1.324 0.394 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 40 40 40 40 40 40 40 40 40 40 ...
$ 41:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 1.785 -0.2777 -1.7686 0.8106 -0.0493 ...
..$ F2 : num [1:1000] -2.055 -0.207 -1.87 1.998 -0.418 ...
..$ F3 : num [1:1000] 1.421 -2.028 -0.221 2.367 2.892 ...
..$ F4 : num [1:1000] -0.1 -2.93 1.706 0.815 -2.322 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 41 41 41 41 41 41 41 41 41 41 ...
$ 42:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -0.466 0.693 -0.2 -1.68 0.83 ...
..$ F2 : num [1:1000] -2.852 1.84 2.998 -0.948 0.221 ...
..$ F3 : num [1:1000] 1.208 1.61 -0.372 -2.25 2.476 ...
..$ F4 : num [1:1000] 1.495 -2.576 0.783 -0.962 -2.864 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 42 42 42 42 42 42 42 42 42 42 ...
$ 43:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -1.978 -0.528 3.019 0.179 -1.54 ...
..$ F2 : num [1:1000] 2.2945 2.4736 -1.1777 1.0471 0.0332 ...
..$ F3 : num [1:1000] 2.5 3.08 -0.44 -3.28 2.03 ...
..$ F4 : num [1:1000] 0.024 0.208 1.373 0.591 -1.989 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 43 43 43 43 43 43 43 43 43 43 ...
$ 44:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 1.08 -1.54 1.03 2.49 2.38 ...
..$ F2 : num [1:1000] 3.278 -1.127 2.625 1.905 0.505 ...
..$ F3 : num [1:1000] 0.95 0.965 -0.48 1.018 -1.506 ...
..$ F4 : num [1:1000] -0.183 -2.173 1.641 0.494 -2.289 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 44 44 44 44 44 44 44 44 44 44 ...
$ 45:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 0.62 -0.174 -1.208 2.216 0.623 ...
..$ F2 : num [1:1000] -2.746 2.301 0.156 -1.601 0.993 ...
..$ F3 : num [1:1000] -0.526 -2.288 1.895 -1.134 0.183 ...
..$ F4 : num [1:1000] 1.864 0.229 2.002 0.761 -3.34 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 45 45 45 45 45 45 45 45 45 45 ...
$ 46:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -2.75 -2.345 -0.407 -0.584 -1.632 ...
..$ F2 : num [1:1000] 0.836 -2.465 -0.297 -3.058 -0.119 ...
..$ F3 : num [1:1000] -1.131 -0.121 -2.525 -0.403 2.97 ...
..$ F4 : num [1:1000] -0.811 0.687 1.572 -0.673 -0.518 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 46 46 46 46 46 46 46 46 46 46 ...
$ 47:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 1.494 0.788 -1.676 -2.319 -1.732 ...
..$ F2 : num [1:1000] -0.2677 -1.0392 1.3064 0.0776 -0.4792 ...
..$ F3 : num [1:1000] -2.6 -1.19 3.15 1.61 -1.04 ...
..$ F4 : num [1:1000] 0.0799 2.8279 -0.9562 1.2502 2.1687 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 47 47 47 47 47 47 47 47 47 47 ...
$ 48:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 0.141 3.069 -0.78 -3.04 -1.318 ...
..$ F2 : num [1:1000] 1.259 -0.932 1.867 -1.36 -1.606 ...
..$ F3 : num [1:1000] -2.81 -0.7 1.58 1.72 -2.15 ...
..$ F4 : num [1:1000] 0.291 -0.833 -2.361 0.975 -0.693 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 48 48 48 48 48 48 48 48 48 48 ...
$ 49:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -0.5157 -0.0963 0.5356 -0.7575 -2.0162 ...
..$ F2 : num [1:1000] 1.4927 3.1661 1.5464 0.5661 -0.0242 ...
..$ F3 : num [1:1000] 2.226 -0.567 1.103 2.923 1.452 ...
..$ F4 : num [1:1000] 1.597 -0.543 2.573 0.485 2.908 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 49 49 49 49 49 49 49 49 49 49 ...
$ 50:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 0.257 0.596 -0.89 2.494 0.442 ...
..$ F2 : num [1:1000] -0.322 -1.612 2.31 1.811 -0.312 ...
..$ F3 : num [1:1000] 3.394 -2.154 -1.97 0.323 1.123 ...
..$ F4 : num [1:1000] -1.598 -1.438 -0.294 -0.29 -3.128 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 50 50 50 50 50 50 50 50 50 50 ...
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Description Usage Format Source Examples
Description
These simulation data are described on the revised page 384-5 of the book. See the errata file for a revised version if your book is not the fourth or later printing.
There are 50 x four datasets - training and test data for the four dimensional problem, and training and test data for the 10 dimensional problem.
Usage
1 |
Format
The format is: List of 50 \$ 1 :‘data.frame’: 1000 obs. of 6 variables: ..\$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ... ..\$ F1 : num [1:1000] 2.352 -0.295 1.000 -0.133 -0.774 ... ..\$ F2 : num [1:1000] -1.56 -2.08 1.59 -1.39 0.25 ... ..\$ F3 : num [1:1000] -1.058 0.355 1.779 2.281 1.486 ... ..\$ F4 : num [1:1000] -0.0382 2.2957 -1.8081 1.5588 -3.0523 ... ..\$ f : Factor w/ 50 levels "1","2","3","4",..: 1 1 1 1 1 1 1 1 1 1 ... ... and then 49 similar ones.
Source
Data simulated for the book.
Examples
1 |
Example output
List of 50
$ 1 :'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 2.352 -0.295 1 -0.133 -0.774 ...
..$ F2 : num [1:1000] -1.56 -2.08 1.59 -1.39 0.25 ...
..$ F3 : num [1:1000] -1.058 0.355 1.779 2.281 1.486 ...
..$ F4 : num [1:1000] -0.0382 2.2957 -1.8081 1.5588 -3.0523 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 1 1 1 1 1 1 1 1 1 1 ...
$ 2 :'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -0.688 0.213 -0.795 -0.837 -2.183 ...
..$ F2 : num [1:1000] -0.951 -1.367 -1.108 -0.84 0.596 ...
..$ F3 : num [1:1000] 0.955 -2.739 3.339 -3.192 -2.541 ...
..$ F4 : num [1:1000] 2.664 1.508 -0.607 0.203 -0.546 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 2 2 2 2 2 2 2 2 2 2 ...
$ 3 :'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 0.298 -0.618 1.573 1.168 0.681 ...
..$ F2 : num [1:1000] 2.39 2.34 2.46 2.57 1.67 ...
..$ F3 : num [1:1000] -1.24 2 -1.02 1.08 1.71 ...
..$ F4 : num [1:1000] 2.084 -0.577 0.662 2.083 1.691 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 3 3 3 3 3 3 3 3 3 3 ...
$ 4 :'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -3.024 -1.747 -1.222 -1.63 -0.957 ...
..$ F2 : num [1:1000] -1.91 -3.32 1.65 2.27 -2.64 ...
..$ F3 : num [1:1000] -0.0881 0.9196 1.3332 -1.2033 -0.7834 ...
..$ F4 : num [1:1000] 1.579 -0.4771 1.9836 -0.0584 1.2025 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 4 4 4 4 4 4 4 4 4 4 ...
$ 5 :'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 2.42 -2.31 2.34 -2.28 1.3 ...
..$ F2 : num [1:1000] 0.615 -0.738 -1.527 0.992 -0.682 ...
..$ F3 : num [1:1000] 1.953 -2.156 0.988 2.535 -0.364 ...
..$ F4 : num [1:1000] 0.726 1.252 -1.135 1.009 -2.793 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 5 5 5 5 5 5 5 5 5 5 ...
$ 6 :'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 2.315 0.467 0.624 0.958 -0.771 ...
..$ F2 : num [1:1000] 1.26 -2.37 1.92 -2.85 -1.94 ...
..$ F3 : num [1:1000] -1.361 -2.001 -2.636 -0.825 0.311 ...
..$ F4 : num [1:1000] -2.0605 1.0466 0.0405 1.0494 -2.44 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 6 6 6 6 6 6 6 6 6 6 ...
$ 7 :'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -0.143 -0.546 1.481 1.525 -1.03 ...
..$ F2 : num [1:1000] -2.649 2.371 1.891 0.576 -2.751 ...
..$ F3 : num [1:1000] -0.501 1.706 -0.514 2.399 -0.38 ...
..$ F4 : num [1:1000] 2.183 -0.815 2.069 -0.919 -0.948 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 7 7 7 7 7 7 7 7 7 7 ...
$ 8 :'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -1.011 0.706 1.316 -1.812 1.95 ...
..$ F2 : num [1:1000] -2.807 0.587 0.058 -2.233 1.13 ...
..$ F3 : num [1:1000] 0.228 2.625 -2.777 -1.493 -0.967 ...
..$ F4 : num [1:1000] -1.413 1.942 0.415 -1.217 2.026 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 8 8 8 8 8 8 8 8 8 8 ...
$ 9 :'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 0.0453 -2.2349 -0.5479 1.4971 0.1758 ...
..$ F2 : num [1:1000] -1.429 0.217 1.097 2.689 -2.807 ...
..$ F3 : num [1:1000] -2.89 2.906 2.897 -0.329 -1.124 ...
..$ F4 : num [1:1000] -1.204 0.341 0.925 1.139 -0.952 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 9 9 9 9 9 9 9 9 9 9 ...
$ 10:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -1.542 -0.172 1.363 0.785 2.526 ...
..$ F2 : num [1:1000] 0.532 -1.562 1.859 -2.769 -1.043 ...
..$ F3 : num [1:1000] 2.687 -2.124 -2.688 -0.334 1.966 ...
..$ F4 : num [1:1000] -1.331 -1.494 1.709 -0.868 1.712 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 10 10 10 10 10 10 10 10 10 10 ...
$ 11:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 2.749 1.219 1.529 0.255 2.536 ...
..$ F2 : num [1:1000] -0.471 -2.557 -0.52 -0.147 0.462 ...
..$ F3 : num [1:1000] -0.17 1.061 -0.362 -2.382 -1.781 ...
..$ F4 : num [1:1000] -1.46 0.19 -2.53 1.93 1.71 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 11 11 11 11 11 11 11 11 11 11 ...
$ 12:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 2.519 -1.14 -0.441 0.386 1.916 ...
..$ F2 : num [1:1000] 1.508 0.491 -3.064 -1.528 1.275 ...
..$ F3 : num [1:1000] 1.2085 3.0766 0.0362 2.5519 2.0979 ...
..$ F4 : num [1:1000] -0.5555 0.641 0.1514 -1.5764 -0.0273 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 12 12 12 12 12 12 12 12 12 12 ...
$ 13:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 0.662 -1.427 0.199 1.626 -2.083 ...
..$ F2 : num [1:1000] 1.371 -2.104 -2.545 -0.115 2.957 ...
..$ F3 : num [1:1000] 1.173 0.631 2.09 2.058 1.195 ...
..$ F4 : num [1:1000] 2.8372 -1.5471 0.0574 1.8765 -0.5303 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 13 13 13 13 13 13 13 13 13 13 ...
$ 14:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 0.0816 -2.958 -1.0402 -0.2959 0.2246 ...
..$ F2 : num [1:1000] -1.419 0.84 -1.503 -0.486 0.597 ...
..$ F3 : num [1:1000] 2.3827 -0.0375 -0.2604 -2.9427 -0.9474 ...
..$ F4 : num [1:1000] 1.426 0.166 3.091 -0.684 2.8 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 14 14 14 14 14 14 14 14 14 14 ...
$ 15:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -2.72 -1.95 -1.43 -1.3 2.58 ...
..$ F2 : num [1:1000] 0.689 0.847 -1.962 0.255 0.829 ...
..$ F3 : num [1:1000] -0.019 -2.481 1.852 -1.04 -2.061 ...
..$ F4 : num [1:1000] -1.328 -0.23 0.568 -2.699 -0.591 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 15 15 15 15 15 15 15 15 15 15 ...
$ 16:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -2.985 -1.588 -0.381 3.377 -1.512 ...
..$ F2 : num [1:1000] -1.392 2.481 -2.76 -0.239 -1.347 ...
..$ F3 : num [1:1000] -0.5586 0.1925 -0.1094 0.0629 2.2316 ...
..$ F4 : num [1:1000] -2.01 -2.28 2.09 1.34 1.66 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 16 16 16 16 16 16 16 16 16 16 ...
$ 17:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 1.119 2.12 -2.357 -0.236 -1.308 ...
..$ F2 : num [1:1000] -0.2419 0.0347 -0.3944 0.0104 1.402 ...
..$ F3 : num [1:1000] -2.965 2.058 -0.787 1.082 -2.54 ...
..$ F4 : num [1:1000] 0.754 -1.389 -2.15 -3.121 0.583 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 17 17 17 17 17 17 17 17 17 17 ...
$ 18:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 0.403 -3.206 0.467 -2.54 -2.189 ...
..$ F2 : num [1:1000] -2.484 0.399 3.45 0.803 0.772 ...
..$ F3 : num [1:1000] -1.441 -0.939 -0.703 -1.774 -1.339 ...
..$ F4 : num [1:1000] -1.507 0.307 -0.62 1.325 2.231 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 18 18 18 18 18 18 18 18 18 18 ...
$ 19:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -1.89 2.75 -1.53 1.1 1.57 ...
..$ F2 : num [1:1000] 0.403 -0.495 -0.24 2.775 2.599 ...
..$ F3 : num [1:1000] -0.114 1.012 3.153 -0.105 -1.2 ...
..$ F4 : num [1:1000] 2.337 -0.553 1.564 0.346 -0.572 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 19 19 19 19 19 19 19 19 19 19 ...
$ 20:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -2.834 1.843 -2.307 2.463 0.909 ...
..$ F2 : num [1:1000] -0.582 -1.167 -0.708 1.527 3.137 ...
..$ F3 : num [1:1000] -1.429 1.127 -0.441 -0.454 0.211 ...
..$ F4 : num [1:1000] 1.22872 3.10045 -1.84435 -1.25516 -0.00174 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 20 20 20 20 20 20 20 20 20 20 ...
$ 21:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 2.429 -2.166 0.22 -0.0641 -2.4497 ...
..$ F2 : num [1:1000] -0.0414 -2.0196 -2.1137 -2.3031 1.1774 ...
..$ F3 : num [1:1000] -1.067 1.321 -0.152 -0.201 0.389 ...
..$ F4 : num [1:1000] 1.88 -1 3.02 2.68 1.33 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 21 21 21 21 21 21 21 21 21 21 ...
$ 22:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 2.2962 2.1793 -0.659 0.0184 -0.4521 ...
..$ F2 : num [1:1000] -0.168 -1.004 1.454 -1.281 -1.324 ...
..$ F3 : num [1:1000] 2.236 -2.8 -0.893 -2.746 2.746 ...
..$ F4 : num [1:1000] 0.451 -0.909 2.609 -0.86 -0.576 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 22 22 22 22 22 22 22 22 22 22 ...
$ 23:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -1.0965 -0.3101 -0.6169 0.0722 -2.2779 ...
..$ F2 : num [1:1000] 1.194 2.936 -1.384 0.886 0.137 ...
..$ F3 : num [1:1000] 0.815 -1.499 2.422 2.241 1.294 ...
..$ F4 : num [1:1000] -2.69 -0.691 -2.558 1.92 2.451 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 23 23 23 23 23 23 23 23 23 23 ...
$ 24:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 0.406 0.831 2.401 0.613 -1.736 ...
..$ F2 : num [1:1000] -1.32 0.273 1.116 -2.824 0.543 ...
..$ F3 : num [1:1000] -0.48 3.242 -0.211 -1.242 2.325 ...
..$ F4 : num [1:1000] -3.588 0.207 1.559 -0.923 -1.126 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 24 24 24 24 24 24 24 24 24 24 ...
$ 25:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 2.331 2.357 -1.143 -1.181 -0.932 ...
..$ F2 : num [1:1000] 1.626 0.606 2.195 -0.265 2.795 ...
..$ F3 : num [1:1000] 0.953 1.172 -1.545 -2.342 0.54 ...
..$ F4 : num [1:1000] -0.18 1.426 -1.023 -1.453 -0.369 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 25 25 25 25 25 25 25 25 25 25 ...
$ 26:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 1.376 -1.291 0.168 1.878 2.326 ...
..$ F2 : num [1:1000] 0.492 0.7931 1.1489 -1.0441 0.0575 ...
..$ F3 : num [1:1000] -0.329 -0.102 2.868 1.116 1.804 ...
..$ F4 : num [1:1000] 3.122 2.881 -0.238 -2.413 0.967 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 26 26 26 26 26 26 26 26 26 26 ...
$ 27:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -0.613 -0.676 -0.947 -2.614 1.191 ...
..$ F2 : num [1:1000] -0.204 1.958 0.743 1.658 -2.712 ...
..$ F3 : num [1:1000] -0.25 -2.488 -2.67 -1.445 0.437 ...
..$ F4 : num [1:1000] 3.39 1.365 -1.276 0.696 0.445 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 27 27 27 27 27 27 27 27 27 27 ...
$ 28:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 2.952 0.105 -1.096 0.211 -2.19 ...
..$ F2 : num [1:1000] -0.5 -0.428 1.159 -2.027 0.702 ...
..$ F3 : num [1:1000] 0.241 -2.496 -0.223 -0.678 -2.161 ...
..$ F4 : num [1:1000] 0.5 -1.671 2.657 -2.241 0.329 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 28 28 28 28 28 28 28 28 28 28 ...
$ 29:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 1.089 -0.533 0.23 -1.475 3.259 ...
..$ F2 : num [1:1000] 0.33 2.81 -1.38 1.15 0.43 ...
..$ F3 : num [1:1000] 1.864 0.814 -1.965 0.439 -0.43 ...
..$ F4 : num [1:1000] -2.403 0.406 2.091 2.752 -0.17 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 29 29 29 29 29 29 29 29 29 29 ...
$ 30:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 1.42 3.14 1.13 1.72 1.96 ...
..$ F2 : num [1:1000] -2.34 0.8 1.92 -2.16 -2.52 ...
..$ F3 : num [1:1000] -1.562 -0.145 -2.171 -0.55 1.022 ...
..$ F4 : num [1:1000] 0.893 0.382 -0.586 1.206 0.983 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 30 30 30 30 30 30 30 30 30 30 ...
$ 31:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -2.589 -0.879 -1.458 1.875 -1.173 ...
..$ F2 : num [1:1000] -0.0921 -3.0533 -2.3637 -0.589 2.2107 ...
..$ F3 : num [1:1000] 1.346 0.143 1.2 -1.803 -2.168 ...
..$ F4 : num [1:1000] -1.523 0.453 1.898 2.314 2.039 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 31 31 31 31 31 31 31 31 31 31 ...
$ 32:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -1.37 -1.813 -2.487 -0.989 0.45 ...
..$ F2 : num [1:1000] 2.127 2.559 0.802 2.556 -1.008 ...
..$ F3 : num [1:1000] -2.031 -0.197 0.317 2.716 -2.765 ...
..$ F4 : num [1:1000] 1.464 -0.452 -1.586 -0.495 -1.083 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 32 32 32 32 32 32 32 32 32 32 ...
$ 33:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -2.097 0.231 -0.609 1.601 2.304 ...
..$ F2 : num [1:1000] 1.123 2.313 -0.643 1.187 -0.374 ...
..$ F3 : num [1:1000] 1.13 -1.19 -2.17 1.21 3.02 ...
..$ F4 : num [1:1000] -1.656 -2.161 -2.148 2.498 0.386 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 33 33 33 33 33 33 33 33 33 33 ...
$ 34:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 0.4809 -2.9118 -1.611 -0.0906 1.4684 ...
..$ F2 : num [1:1000] -0.223 -0.688 -2.856 1.283 -2.198 ...
..$ F3 : num [1:1000] 0.515 0.54 1.084 2.549 -0.44 ...
..$ F4 : num [1:1000] -3.6602 -1.5862 0.0593 2.5676 1.4636 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 34 34 34 34 34 34 34 34 34 34 ...
$ 35:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -2.22829 0.00652 0.51303 -3.00495 -0.8946 ...
..$ F2 : num [1:1000] -1.47 -2.58 -1.94 0.78 -2.5 ...
..$ F3 : num [1:1000] 1.635 1.162 1.453 -0.315 -0.231 ...
..$ F4 : num [1:1000] -0.1706 1.414 2.839 0.0263 1.8595 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 35 35 35 35 35 35 35 35 35 35 ...
$ 36:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -0.632 0.879 0.596 -2.591 0.774 ...
..$ F2 : num [1:1000] -0.452 -2.958 0.538 0.259 3.356 ...
..$ F3 : num [1:1000] 0.465 0.303 -2 1.527 0.914 ...
..$ F4 : num [1:1000] 2.87 1.73 -2.49 -1.18 1.46 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 36 36 36 36 36 36 36 36 36 36 ...
$ 37:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -1.432 2.972 -2.168 -0.453 1.102 ...
..$ F2 : num [1:1000] 0.291 1.238 1.493 -3.002 0.65 ...
..$ F3 : num [1:1000] -0.6816 -0.6004 -1.3828 1.5702 -0.0687 ...
..$ F4 : num [1:1000] 3.196 0.535 0.617 -1.606 -3.334 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 37 37 37 37 37 37 37 37 37 37 ...
$ 38:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -2.517 -1.26 0.387 -2.639 2.084 ...
..$ F2 : num [1:1000] 1.454 -0.72 3.193 -0.098 2.122 ...
..$ F3 : num [1:1000] -0.9261 -2.2702 0.0343 2.2891 -0.1917 ...
..$ F4 : num [1:1000] 0.233 1.331 -0.583 -0.368 -1.388 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 38 38 38 38 38 38 38 38 38 38 ...
$ 39:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -0.112 2.0649 2.429 0.0088 1.5174 ...
..$ F2 : num [1:1000] 2.75 2.03 -1.11 -2.32 -0.67 ...
..$ F3 : num [1:1000] -1.273 0.806 -0.877 2.248 -2.642 ...
..$ F4 : num [1:1000] -0.388 0.593 1.078 -1.409 0.208 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 39 39 39 39 39 39 39 39 39 39 ...
$ 40:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 1.02 1.33 -1.97 1.1 3.21 ...
..$ F2 : num [1:1000] 1.03 1.85 -2.59 -2.2 -1.75 ...
..$ F3 : num [1:1000] 2.6004 1.736 -0.0673 -2.3823 0.8544 ...
..$ F4 : num [1:1000] 1.454 -1.303 -1.46 1.324 0.394 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 40 40 40 40 40 40 40 40 40 40 ...
$ 41:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 1.785 -0.2777 -1.7686 0.8106 -0.0493 ...
..$ F2 : num [1:1000] -2.055 -0.207 -1.87 1.998 -0.418 ...
..$ F3 : num [1:1000] 1.421 -2.028 -0.221 2.367 2.892 ...
..$ F4 : num [1:1000] -0.1 -2.93 1.706 0.815 -2.322 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 41 41 41 41 41 41 41 41 41 41 ...
$ 42:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -0.466 0.693 -0.2 -1.68 0.83 ...
..$ F2 : num [1:1000] -2.852 1.84 2.998 -0.948 0.221 ...
..$ F3 : num [1:1000] 1.208 1.61 -0.372 -2.25 2.476 ...
..$ F4 : num [1:1000] 1.495 -2.576 0.783 -0.962 -2.864 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 42 42 42 42 42 42 42 42 42 42 ...
$ 43:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -1.978 -0.528 3.019 0.179 -1.54 ...
..$ F2 : num [1:1000] 2.2945 2.4736 -1.1777 1.0471 0.0332 ...
..$ F3 : num [1:1000] 2.5 3.08 -0.44 -3.28 2.03 ...
..$ F4 : num [1:1000] 0.024 0.208 1.373 0.591 -1.989 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 43 43 43 43 43 43 43 43 43 43 ...
$ 44:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 1.08 -1.54 1.03 2.49 2.38 ...
..$ F2 : num [1:1000] 3.278 -1.127 2.625 1.905 0.505 ...
..$ F3 : num [1:1000] 0.95 0.965 -0.48 1.018 -1.506 ...
..$ F4 : num [1:1000] -0.183 -2.173 1.641 0.494 -2.289 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 44 44 44 44 44 44 44 44 44 44 ...
$ 45:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 0.62 -0.174 -1.208 2.216 0.623 ...
..$ F2 : num [1:1000] -2.746 2.301 0.156 -1.601 0.993 ...
..$ F3 : num [1:1000] -0.526 -2.288 1.895 -1.134 0.183 ...
..$ F4 : num [1:1000] 1.864 0.229 2.002 0.761 -3.34 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 45 45 45 45 45 45 45 45 45 45 ...
$ 46:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -2.75 -2.345 -0.407 -0.584 -1.632 ...
..$ F2 : num [1:1000] 0.836 -2.465 -0.297 -3.058 -0.119 ...
..$ F3 : num [1:1000] -1.131 -0.121 -2.525 -0.403 2.97 ...
..$ F4 : num [1:1000] -0.811 0.687 1.572 -0.673 -0.518 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 46 46 46 46 46 46 46 46 46 46 ...
$ 47:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 1.494 0.788 -1.676 -2.319 -1.732 ...
..$ F2 : num [1:1000] -0.2677 -1.0392 1.3064 0.0776 -0.4792 ...
..$ F3 : num [1:1000] -2.6 -1.19 3.15 1.61 -1.04 ...
..$ F4 : num [1:1000] 0.0799 2.8279 -0.9562 1.2502 2.1687 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 47 47 47 47 47 47 47 47 47 47 ...
$ 48:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 0.141 3.069 -0.78 -3.04 -1.318 ...
..$ F2 : num [1:1000] 1.259 -0.932 1.867 -1.36 -1.606 ...
..$ F3 : num [1:1000] -2.81 -0.7 1.58 1.72 -2.15 ...
..$ F4 : num [1:1000] 0.291 -0.833 -2.361 0.975 -0.693 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 48 48 48 48 48 48 48 48 48 48 ...
$ 49:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -0.5157 -0.0963 0.5356 -0.7575 -2.0162 ...
..$ F2 : num [1:1000] 1.4927 3.1661 1.5464 0.5661 -0.0242 ...
..$ F3 : num [1:1000] 2.226 -0.567 1.103 2.923 1.452 ...
..$ F4 : num [1:1000] 1.597 -0.543 2.573 0.485 2.908 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 49 49 49 49 49 49 49 49 49 49 ...
$ 50:'data.frame': 1000 obs. of 6 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 0.257 0.596 -0.89 2.494 0.442 ...
..$ F2 : num [1:1000] -0.322 -1.612 2.31 1.811 -0.312 ...
..$ F3 : num [1:1000] 3.394 -2.154 -1.97 0.323 1.123 ...
..$ F4 : num [1:1000] -1.598 -1.438 -0.294 -0.29 -3.128 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 50 50 50 50 50 50 50 50 50 50 ...
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