orange10.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 12 variables:
..\$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..\$ F1 : num [1:1000] -0.780 2.097 0.798 -0.896 -0.365 ...
..\$ F2 : num [1:1000] 2.5767 0.4146 0.0381 -2.0925 -2.2895 ...
..\$ F3 : num [1:1000] 1.18 -2.45 -2.03 -1.36 -2.63 ...
..\$ F4 : num [1:1000] -0.997 0.710 -2.223 2.478 -0.666 ...
..\$ F5 : num [1:1000] -0.308 0.418 0.407 -0.198 1.347 ...
..\$ F6 : num [1:1000] 0.126 -0.718 -1.173 2.390 0.122 ...
..\$ F7 : num [1:1000] 0.3233 0.0846 0.3814 -0.5928 -0.0555 ...
..\$ F8 : num [1:1000] -0.668 1.836 2.006 -0.782 -0.164 ...
..\$ F9 : num [1:1000] -1.7559 -0.0389 1.7472 -2.1746 0.5236 ...
..\$ F10 : num [1:1000] -0.926 0.196 -0.960 -0.820 -1.207 ...
..\$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -0.78 2.097 0.798 -0.896 -0.365 ...
..$ F2 : num [1:1000] 2.5767 0.4146 0.0381 -2.0925 -2.2895 ...
..$ F3 : num [1:1000] 1.18 -2.45 -2.03 -1.36 -2.63 ...
..$ F4 : num [1:1000] -0.997 0.71 -2.223 2.478 -0.666 ...
..$ F5 : num [1:1000] -0.308 0.418 0.407 -0.198 1.347 ...
..$ F6 : num [1:1000] 0.126 -0.718 -1.173 2.39 0.122 ...
..$ F7 : num [1:1000] 0.3233 0.0846 0.3814 -0.5928 -0.0555 ...
..$ F8 : num [1:1000] -0.668 1.836 2.006 -0.782 -0.164 ...
..$ F9 : num [1:1000] -1.7559 -0.0389 1.7472 -2.1746 0.5236 ...
..$ F10 : num [1:1000] -0.926 0.196 -0.96 -0.82 -1.207 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -1.96 0.982 -0.421 -2.84 0.908 ...
..$ F2 : num [1:1000] -1.914 -1.509 2.116 1.43 -0.377 ...
..$ F3 : num [1:1000] 0.184 -1.974 -2.594 0.666 -1.786 ...
..$ F4 : num [1:1000] 1.596 1.642 0.87 -0.589 -2.276 ...
..$ F5 : num [1:1000] -0.483 -0.44 0.706 -1.136 0.69 ...
..$ F6 : num [1:1000] 0.191 -1.295 -0.787 -1.323 0.112 ...
..$ F7 : num [1:1000] -0.2399 -1.3999 -1.1863 -0.2858 -0.0254 ...
..$ F8 : num [1:1000] 0.8335 0.6878 1.2634 -0.0812 -0.4583 ...
..$ F9 : num [1:1000] 0.6478 -0.0179 1.2933 -0.0296 1.197 ...
..$ F10 : num [1:1000] -0.759 0.329 0.85 0.178 2.212 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 2.3 -2.36 1.92 1.51 -1.91 ...
..$ F2 : num [1:1000] 0.388 -0.38 -1.939 1.756 -1.77 ...
..$ F3 : num [1:1000] 0.662 0.944 -0.579 -1.163 1.576 ...
..$ F4 : num [1:1000] 2.063 1.837 -2.055 -1.726 -0.497 ...
..$ F5 : num [1:1000] -1.129 -1.254 0.94 -0.186 0.732 ...
..$ F6 : num [1:1000] 2.197 -1.116 -1.62 -1.546 -0.372 ...
..$ F7 : num [1:1000] 2.0935 0.67519 0.7538 -0.00499 0.77372 ...
..$ F8 : num [1:1000] 0.994 1.568 -0.28 -0.64 0.293 ...
..$ F9 : num [1:1000] -0.0416 1.6795 0.1009 2.1644 -0.7995 ...
..$ F10 : num [1:1000] 0.0102 -0.0896 -0.8862 1.2921 0.3543 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 0.792 -2.512 -2.128 -2.01 -2.829 ...
..$ F2 : num [1:1000] 0.905 -0.123 2.199 0.823 1.697 ...
..$ F3 : num [1:1000] -3.286 1.656 1.549 -2.286 0.881 ...
..$ F4 : num [1:1000] 0.593 -0.316 0.111 -0.459 0.526 ...
..$ F5 : num [1:1000] -0.408 1.622 -0.023 1.511 -1.002 ...
..$ F6 : num [1:1000] 0.834 -1.665 -2.653 -0.114 -0.467 ...
..$ F7 : num [1:1000] -0.465 0.595 0.25 0.289 -0.933 ...
..$ F8 : num [1:1000] -0.274 -0.057 -0.5846 0.2243 -0.0245 ...
..$ F9 : num [1:1000] 0.732 -0.468 0.831 -0.576 0.833 ...
..$ F10 : num [1:1000] -0.1262 -1.6982 1.2297 0.0615 -0.5208 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -1.4 -1.201 0.447 0.668 1.762 ...
..$ F2 : num [1:1000] 1.37 1.77 2.03 2.57 2.51 ...
..$ F3 : num [1:1000] 1.546 1.971 -0.326 0.242 1.743 ...
..$ F4 : num [1:1000] -1.67 -1.134 -2.164 1.513 -0.334 ...
..$ F5 : num [1:1000] 0.518 0.491 -0.998 2.587 1.528 ...
..$ F6 : num [1:1000] -1.951 -1.248 -0.817 -1.765 -0.473 ...
..$ F7 : num [1:1000] -1.259 -0.555 -0.827 1.051 -0.291 ...
..$ F8 : num [1:1000] 0.0504 -2.8889 -0.5664 1.7779 0.6454 ...
..$ F9 : num [1:1000] 1.6809 -0.4108 1.1783 0.0603 1.3761 ...
..$ F10 : num [1:1000] -0.3946 1.637 -0.0274 -0.5534 0.6436 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 1.02 -3.324 2.418 2.291 -0.436 ...
..$ F2 : num [1:1000] -0.278 -0.602 0.105 -0.215 0.479 ...
..$ F3 : num [1:1000] 1.577 0.218 -0.554 1.535 -1.709 ...
..$ F4 : num [1:1000] 2.7377 -0.0657 1.6945 1.2874 3.2024 ...
..$ F5 : num [1:1000] -0.1782 -0.7729 -0.1814 -2.1466 -0.0132 ...
..$ F6 : num [1:1000] -0.415 -0.807 1.492 -1.193 1.516 ...
..$ F7 : num [1:1000] -0.27903 1.49954 -0.54415 -0.95316 0.00717 ...
..$ F8 : num [1:1000] -0.098 0.515 1.793 -1.074 -1.939 ...
..$ F9 : num [1:1000] -1.149 0.116 -1.445 0.777 0.122 ...
..$ F10 : num [1:1000] -1.019 -0.549 -0.298 0.382 1.315 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -0.774 0.205 1.084 2.196 -1.653 ...
..$ F2 : num [1:1000] -2.04 -1.69 -2.97 1.01 -1.33 ...
..$ F3 : num [1:1000] 2.295 2.712 -0.522 0.018 0.285 ...
..$ F4 : num [1:1000] 1.8583 0.0891 0.1661 1.9167 -2.2269 ...
..$ F5 : num [1:1000] 0.0456 0.3976 0.0745 -1.1792 1.9034 ...
..$ F6 : num [1:1000] 0.152 -1.033 0.649 0.553 1.146 ...
..$ F7 : num [1:1000] -0.62 0.433 0.223 1.098 1.274 ...
..$ F8 : num [1:1000] -0.55 -1.3317 0.0972 -0.4717 -0.9833 ...
..$ F9 : num [1:1000] 0.809 -0.334 1.077 -0.967 -1.728 ...
..$ F10 : num [1:1000] 0.808 -0.54 -1.045 -0.927 1.016 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 1.4462 2.2488 -1.8528 0.9625 0.0955 ...
..$ F2 : num [1:1000] -2.15 -2.5 -1.97 2.12 -1.8 ...
..$ F3 : num [1:1000] 1.455 -1.848 0.987 3.029 2.88 ...
..$ F4 : num [1:1000] -1.7793 -0.3684 1.8075 0.9663 -0.0345 ...
..$ F5 : num [1:1000] 0.302 -1.196 -0.481 -0.167 1.13 ...
..$ F6 : num [1:1000] -0.399 1.11 -1.611 0.157 0.165 ...
..$ F7 : num [1:1000] 0.524 0.708 -0.634 -0.426 1.099 ...
..$ F8 : num [1:1000] -0.724 1.87 -0.237 -0.163 -0.207 ...
..$ F9 : num [1:1000] 0.0595 -0.389 -0.359 0.0596 0.9609 ...
..$ F10 : num [1:1000] -0.939 -0.559 1.795 0.146 0.496 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 1.141 -0.748 -0.174 -3.383 -0.613 ...
..$ F2 : num [1:1000] 1.768 -1.215 -3.625 -0.675 2.618 ...
..$ F3 : num [1:1000] 1.288 1.937 0.143 0.524 0.347 ...
..$ F4 : num [1:1000] -1.761 2.067 0.625 -0.333 1.684 ...
..$ F5 : num [1:1000] 0.294 -1.147 -0.824 -0.117 -1.141 ...
..$ F6 : num [1:1000] -0.4009 -0.0887 0.8471 -1.0021 1.2013 ...
..$ F7 : num [1:1000] -1.168 0.762 -0.598 0.284 -1.1 ...
..$ F8 : num [1:1000] 0.9311 -0.0644 -0.6604 1.5462 2.0641 ...
..$ F9 : num [1:1000] -0.3761 -0.983 -0.5115 -0.0655 0.6419 ...
..$ F10 : num [1:1000] 1.811 0.785 0.224 1.017 -1.131 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 0.909 0.718 -0.614 -1.963 -0.36 ...
..$ F2 : num [1:1000] -2.22 1.33 -1.35 1.02 2.72 ...
..$ F3 : num [1:1000] 0.0616 -0.238 0.0467 1.2647 0.8733 ...
..$ F4 : num [1:1000] 2.41 2.74 -3.48 1.85 -1.52 ...
..$ F5 : num [1:1000] 0.31 1.451 1.188 1.487 -0.978 ...
..$ F6 : num [1:1000] 0.142 -0.593 -0.76 -0.903 -0.204 ...
..$ F7 : num [1:1000] -1.1 -0.197 0.406 0.146 0.755 ...
..$ F8 : num [1:1000] -0.0634 -2.0726 0.5165 0.2295 0.4893 ...
..$ F9 : num [1:1000] 0.198 0.932 1.225 -0.862 0.971 ...
..$ F10 : num [1:1000] 0.317 -1.383 2.354 1.631 0.632 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 1.444 2.674 -0.686 1.503 2.99 ...
..$ F2 : num [1:1000] 1.526 -0.435 2.164 -0.995 -1.521 ...
..$ F3 : num [1:1000] -2.382 -1.683 -2.455 -1.366 -0.246 ...
..$ F4 : num [1:1000] -0.747 0.288 1.654 -2.22 0.596 ...
..$ F5 : num [1:1000] -0.4405 0.5963 0.6664 -0.0111 -1.0059 ...
..$ F6 : num [1:1000] -0.998 0.384 -0.507 -0.629 0.202 ...
..$ F7 : num [1:1000] 0.0277 -0.0671 0.4 0.5163 0.9878 ...
..$ F8 : num [1:1000] -1.678 0.711 0.388 0.576 0.352 ...
..$ F9 : num [1:1000] 1.218 -0.86 -1.269 -0.275 1.033 ...
..$ F10 : num [1:1000] 0.1107 -0.8158 -0.0515 -0.9409 0.2403 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -1.939 1.649 0.924 -1.646 0.154 ...
..$ F2 : num [1:1000] 0.353 0.387 0.555 -1.248 1.115 ...
..$ F3 : num [1:1000] 0.689 -1.486 -1.527 -2.261 1.906 ...
..$ F4 : num [1:1000] 2.27 2.2 -2.38 1.06 -2.2 ...
..$ F5 : num [1:1000] 0.106 2.552 -0.832 -0.355 -0.743 ...
..$ F6 : num [1:1000] -1.081 -0.57 0.121 -0.468 -1.139 ...
..$ F7 : num [1:1000] 0.0312 -0.1173 -0.2118 -1.0968 0.2518 ...
..$ F8 : num [1:1000] -0.16279 -0.23416 -0.38341 0.42838 0.00754 ...
..$ F9 : num [1:1000] -0.968 -0.385 -0.199 -1.073 -0.224 ...
..$ F10 : num [1:1000] 0.4398 0.3487 0.9657 -1.1206 0.0519 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -0.535 -0.375 1.112 2.789 0.913 ...
..$ F2 : num [1:1000] -1.37 2.33 -1.51 -1.17 -1.3 ...
..$ F3 : num [1:1000] -2.213 -1.867 0.301 0.414 -1.193 ...
..$ F4 : num [1:1000] -1.553 -1.314 -2.472 -0.377 -2.493 ...
..$ F5 : num [1:1000] -1.217 -0.166 -0.367 -1.188 1.085 ...
..$ F6 : num [1:1000] -0.646 1.13 0.246 -0.361 -1.504 ...
..$ F7 : num [1:1000] 1.193 0.347 -0.815 1.109 -0.293 ...
..$ F8 : num [1:1000] 0.22 0.675 0.564 -1.046 -0.39 ...
..$ F9 : num [1:1000] -0.729 -1.869 -0.792 -1.164 -0.589 ...
..$ F10 : num [1:1000] 0.9985 0.1934 1.3464 0.0433 -0.4104 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 2.11 -2.33 -1.27 -2.04 2.21 ...
..$ F2 : num [1:1000] -2.668 -1.954 0.417 -0.527 -1.702 ...
..$ F3 : num [1:1000] 0.228 -1.395 -2.623 -2.575 0.82 ...
..$ F4 : num [1:1000] 0.803 -1.003 0.884 1.198 1.105 ...
..$ F5 : num [1:1000] -0.9465 0.0247 -1.719 0.963 0.3009 ...
..$ F6 : num [1:1000] -2.459 -0.737 1.389 -0.631 -0.491 ...
..$ F7 : num [1:1000] -0.244 -0.149 -0.615 0.393 0.841 ...
..$ F8 : num [1:1000] 1.023 -0.641 -0.461 -0.615 0.618 ...
..$ F9 : num [1:1000] 0.49 0.604 1.011 0.656 0.114 ...
..$ F10 : num [1:1000] -0.2174 1.9525 1.0533 -0.0433 -0.9322 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -0.6065 0.0217 1.3685 -1.8882 1.6498 ...
..$ F2 : num [1:1000] -1.65 2.48 1.16 -1.69 1.54 ...
..$ F3 : num [1:1000] 2.201 1.565 1.07 1.539 0.701 ...
..$ F4 : num [1:1000] 2.08 1.63 -2.48 -2.38 2.05 ...
..$ F5 : num [1:1000] -0.163 0.584 -1.18 0.992 1.359 ...
..$ F6 : num [1:1000] 0.871 -0.628 -0.374 1.069 -1.306 ...
..$ F7 : num [1:1000] -0.144 -0.283 0.54 -0.604 -1.299 ...
..$ F8 : num [1:1000] 0.709 -0.6 0.76 0.918 1.146 ...
..$ F9 : num [1:1000] -1.21098 -0.28403 0.00186 -1.51108 0.06021 ...
..$ F10 : num [1:1000] -0.285 -0.174 1.528 -0.702 -1.045 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 1.774 -2.123 0.345 -1.043 1.718 ...
..$ F2 : num [1:1000] 1.804 -1.141 1.023 0.832 -2.055 ...
..$ F3 : num [1:1000] -0.294 1.902 -2.38 -0.452 -1.451 ...
..$ F4 : num [1:1000] -2.2402 0.0171 -1.9099 3.0963 -0.4665 ...
..$ F5 : num [1:1000] -0.51333 -1.27138 0.70305 0.00529 -0.22324 ...
..$ F6 : num [1:1000] 0.918 -0.459 0.919 -0.466 -0.734 ...
..$ F7 : num [1:1000] -0.601 -1.3 -0.668 0.15 -0.71 ...
..$ F8 : num [1:1000] -0.9818 0.0502 1.7684 -1.8393 0.7106 ...
..$ F9 : num [1:1000] 0.9763 -0.0618 0.2795 -0.1533 -0.2304 ...
..$ F10 : num [1:1000] 1.157 -1.835 0.702 -0.06 -0.477 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -2.095 0.462 -1.022 -1.092 -0.256 ...
..$ F2 : num [1:1000] -1.08 3.27 2.11 -1.35 1.39 ...
..$ F3 : num [1:1000] 2.152 -0.347 -0.927 1.937 -2.56 ...
..$ F4 : num [1:1000] 0.644 0.272 1.693 -1.881 -1.191 ...
..$ F5 : num [1:1000] 0.3181 0.7932 0.0301 -0.4887 0.0382 ...
..$ F6 : num [1:1000] 0.06323 -0.20808 -0.00226 1.46862 1.59958 ...
..$ F7 : num [1:1000] 1.372 0.465 -1.206 0.618 1.046 ...
..$ F8 : num [1:1000] 1.112 -0.403 1.212 -0.815 0.956 ...
..$ F9 : num [1:1000] -1.012 -0.605 -1.833 -0.995 1.502 ...
..$ F10 : num [1:1000] 0.524 -0.354 0.146 1.124 0.674 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -0.343 1.439 -0.615 0.797 1.467 ...
..$ F2 : num [1:1000] -2.413 -0.767 0.719 3.302 -2.296 ...
..$ F3 : num [1:1000] 1.31 2.759 -2.988 0.644 -0.949 ...
..$ F4 : num [1:1000] -2.048 -0.553 -0.864 0.293 -2.252 ...
..$ F5 : num [1:1000] -1.08 -0.9 1.024 -1.759 -0.934 ...
..$ F6 : num [1:1000] 0.0986 2.0259 -0.2865 -0.5857 -1.0458 ...
..$ F7 : num [1:1000] 0.979 1.732 -1.034 -1.021 1.317 ...
..$ F8 : num [1:1000] 1.276 -0.358 -0.817 -1.089 0.193 ...
..$ F9 : num [1:1000] -0.7674 -0.3228 0.4118 -0.0762 0.2181 ...
..$ F10 : num [1:1000] -0.7459 -0.9056 1.6223 0.5855 0.0796 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -1.196 -2.271 0.794 -0.538 1.241 ...
..$ F2 : num [1:1000] -0.138 0.158 1.699 0.372 -1.864 ...
..$ F3 : num [1:1000] -0.812 1.369 -2.412 -1.654 -1.777 ...
..$ F4 : num [1:1000] 2.982 2.458 0.868 2.821 -1.878 ...
..$ F5 : num [1:1000] 0.19 -0.111 0.493 1.657 1.67 ...
..$ F6 : num [1:1000] 0.0852 0.661 0.2116 -0.6462 -0.8287 ...
..$ F7 : num [1:1000] 0.049 0.377 1.422 1.133 1.251 ...
..$ F8 : num [1:1000] 0.482 0.917 -0.692 2.095 0.399 ...
..$ F9 : num [1:1000] 1.11 0.444 -0.241 0.96 0.219 ...
..$ F10 : num [1:1000] -1.976 -2.377 1.768 -0.258 -1.992 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -3.43 1.87 2.01 1.99 1.26 ...
..$ F2 : num [1:1000] 0.458 2.248 0.921 2.117 1.562 ...
..$ F3 : num [1:1000] 0.827 1.465 -2.088 0.79 -0.441 ...
..$ F4 : num [1:1000] -0.0979 1.8209 -0.1738 0.7066 2.412 ...
..$ F5 : num [1:1000] -0.567 -0.477 -0.891 0.434 0.677 ...
..$ F6 : num [1:1000] -0.78 0.618 -0.703 -0.319 0.814 ...
..$ F7 : num [1:1000] -0.341 0.115 0.535 -1.168 0.277 ...
..$ F8 : num [1:1000] -0.111 0.838 0.935 -0.117 0.881 ...
..$ F9 : num [1:1000] 1.263 -0.208 1.851 -0.38 0.88 ...
..$ F10 : num [1:1000] -1.415 0.228 -0.225 0.304 1.16 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 0.22 2.293 0.524 -0.451 1.98 ...
..$ F2 : num [1:1000] -0.775 0.528 0.88 0.313 -0.946 ...
..$ F3 : num [1:1000] -3.378018 0.000334 -3.784057 -3.002957 -1.947759 ...
..$ F4 : num [1:1000] -0.758 2.664 0.197 0.761 -0.931 ...
..$ F5 : num [1:1000] 0.105 1.509 1.209 -0.322 1.115 ...
..$ F6 : num [1:1000] -0.1351 0.0914 0.5979 1.3569 0.8053 ...
..$ F7 : num [1:1000] -2.001 -0.498 -0.517 -0.471 0.776 ...
..$ F8 : num [1:1000] -0.778 0.707 -1.59 0.506 -2.488 ...
..$ F9 : num [1:1000] 2.227 0.184 -0.82 -0.672 -1.721 ...
..$ F10 : num [1:1000] 0.611 -1.294 -0.47 0.413 0.169 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -2.371 -2.087 0.287 -1.058 0.452 ...
..$ F2 : num [1:1000] -0.798 -1.16 -2.722 2.298 -1.527 ...
..$ F3 : num [1:1000] -1.959 0.855 1.935 -0.145 2.778 ...
..$ F4 : num [1:1000] 0.0663 -2.4479 -0.4407 1.9805 1.4528 ...
..$ F5 : num [1:1000] -1.039 -0.568 0.525 1.466 0.372 ...
..$ F6 : num [1:1000] 0.522 -0.266 0.408 -0.3 -2.107 ...
..$ F7 : num [1:1000] -1.1783 0.9259 0.0454 0.7978 0.0732 ...
..$ F8 : num [1:1000] 1.0439 0.0593 1.3041 -2.6491 -0.3158 ...
..$ F9 : num [1:1000] 0.9474 1.558 -0.0022 1.1677 0.1935 ...
..$ F10 : num [1:1000] 0.0941 -0.1794 -0.1525 0.0828 -0.9863 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -1.379 -1.684 0.981 2.506 1.181 ...
..$ F2 : num [1:1000] -2.341 1.716 -2.99 -0.386 2.327 ...
..$ F3 : num [1:1000] 0.2134 -2.2446 -0.363 0.6036 -0.0498 ...
..$ F4 : num [1:1000] -1.715 -0.118 -1.884 1.857 -2.08 ...
..$ F5 : num [1:1000] -0.561 -0.546 0.444 -0.503 -0.633 ...
..$ F6 : num [1:1000] -1.665 -1.815 -0.191 0.523 -1.008 ...
..$ F7 : num [1:1000] -1.229 -0.604 -0.27 0.238 0.132 ...
..$ F8 : num [1:1000] 0.324 -0.141 -1.026 1.57 0.891 ...
..$ F9 : num [1:1000] -0.713 1.948 0.411 0.079 -0.917 ...
..$ F10 : num [1:1000] 1.033 -0.517 -0.226 -0.618 -1.071 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -0.8675 1.0785 -1.3965 -0.0152 0.7055 ...
..$ F2 : num [1:1000] 1.538 0.955 -2.668 2.343 1.601 ...
..$ F3 : num [1:1000] -2.134 -2.868 0.59 0.332 -2.068 ...
..$ F4 : num [1:1000] -1.18 0.6 1.3 -2.2 1.34 ...
..$ F5 : num [1:1000] 1.345 0.504 -1.965 1.916 -0.773 ...
..$ F6 : num [1:1000] 0.668 -0.309 -1.626 -0.443 -0.987 ...
..$ F7 : num [1:1000] -0.455 0.129 0.922 -0.261 -0.905 ...
..$ F8 : num [1:1000] 1.1411 0.0248 0.1005 -0.8658 -0.3234 ...
..$ F9 : num [1:1000] 0.12194 1.64174 -0.00857 -1.12689 0.46662 ...
..$ F10 : num [1:1000] 0.7 -2.2394 0.2439 0.6569 -0.0626 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -3.173 1.691 -0.349 -2.182 2.015 ...
..$ F2 : num [1:1000] 0.948 1.772 0.469 -1.848 1.561 ...
..$ F3 : num [1:1000] -1.01 -2.943 0.731 1.538 2.011 ...
..$ F4 : num [1:1000] -0.48 -1.01 2.981 -0.372 0.944 ...
..$ F5 : num [1:1000] 0.25 0.205 -0.263 -0.809 0.18 ...
..$ F6 : num [1:1000] -0.6228 0.1887 -0.5903 -0.0531 -0.4642 ...
..$ F7 : num [1:1000] -0.3671 0.1694 -1.1739 -0.1034 0.0322 ...
..$ F8 : num [1:1000] -0.2426 -0.4718 -0.0561 -1.6475 0.2146 ...
..$ F9 : num [1:1000] 0.00117 -0.15387 0.37687 -0.8718 -1.26168 ...
..$ F10 : num [1:1000] 0.761 1.062 -0.778 1.324 -1.104 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -1.5133 2.1596 -0.3046 -0.0901 -1.4256 ...
..$ F2 : num [1:1000] 1.93 -0.698 -2.378 3.828 -2.832 ...
..$ F3 : num [1:1000] 1.503 0.144 0.349 -0.215 -0.182 ...
..$ F4 : num [1:1000] 1.038 2.092 -1.993 0.936 1.971 ...
..$ F5 : num [1:1000] 0.799 0.727 0.92 0.547 1.051 ...
..$ F6 : num [1:1000] -0.759 0.396 1.015 0.4 0.982 ...
..$ F7 : num [1:1000] -0.387 0.441 0.55 -0.672 0.018 ...
..$ F8 : num [1:1000] -1.6951 -0.7619 -0.3532 0.0721 0.5959 ...
..$ F9 : num [1:1000] 1.048 0.745 -0.932 0.215 0.122 ...
..$ F10 : num [1:1000] -0.67965 -2.06389 -1.35913 -0.93782 -0.00834 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -1.786 2.491 2.126 0.314 2.85 ...
..$ F2 : num [1:1000] 2.076 -1.148 -0.349 -0.947 -1.175 ...
..$ F3 : num [1:1000] 0.063 1.534 -1.92 2.179 -0.395 ...
..$ F4 : num [1:1000] 1.3306 -0.0538 -1.5828 2.9328 -1.6491 ...
..$ F5 : num [1:1000] -1.325 1.055 -2.344 -1.068 0.751 ...
..$ F6 : num [1:1000] -0.1655 0.0652 -1.5169 -1.6773 1.7609 ...
..$ F7 : num [1:1000] -1.127 -0.166 1.822 -0.652 0.404 ...
..$ F8 : num [1:1000] 0.294 0.375 -0.223 -0.254 -1.734 ...
..$ F9 : num [1:1000] -1.216 0.831 -0.203 -0.457 -1.303 ...
..$ F10 : num [1:1000] 1.002 1.004 2.367 0.145 1.055 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 2.756 -0.231 -0.408 -0.685 0.645 ...
..$ F2 : num [1:1000] 1.398 0.506 -2.056 1.653 -0.886 ...
..$ F3 : num [1:1000] 0.117 -3.306 3.197 0.994 1.744 ...
..$ F4 : num [1:1000] 0.826 1.331 0.343 2.627 -2.595 ...
..$ F5 : num [1:1000] -0.751 -1.153 0.854 1.274 -0.43 ...
..$ F6 : num [1:1000] 0.281 0.657 1.077 0.507 1.132 ...
..$ F7 : num [1:1000] -0.614 -0.564 -0.309 0.555 0.722 ...
..$ F8 : num [1:1000] 0.00373 0.15473 -0.48713 -1.47502 -0.20223 ...
..$ F9 : num [1:1000] 0.8723 1.5037 -0.015 1.3379 0.0824 ...
..$ F10 : num [1:1000] -0.723 -0.926 -0.23 1.561 -1.59 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 1.15 1.31 -1.65 -2.05 2.27 ...
..$ F2 : num [1:1000] 0.198 -1.154 -0.898 0.901 0.105 ...
..$ F3 : num [1:1000] -2.71 -2.78 2.6 -2.15 -1.5 ...
..$ F4 : num [1:1000] 1.8689 -0.3724 0.9786 0.0105 2.326 ...
..$ F5 : num [1:1000] 2.17058 1.50084 -0.00484 -0.1198 -1.49962 ...
..$ F6 : num [1:1000] -0.7452 0.1103 -0.0572 -1.0126 0.6366 ...
..$ F7 : num [1:1000] -1.1 0.554 1.004 0.35 -0.491 ...
..$ F8 : num [1:1000] -0.0338 -0.2516 -1.9962 -0.8589 0.7008 ...
..$ F9 : num [1:1000] -0.261 0.112 -0.843 1.134 0.949 ...
..$ F10 : num [1:1000] 0.745 1.049 -0.857 -1.173 0.945 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 2.96 -3.17 -1.38 2.35 2.41 ...
..$ F2 : num [1:1000] 0.37 -0.285 -0.968 -1.001 0.288 ...
..$ F3 : num [1:1000] 0.327 1.148 1.485 0.286 1.535 ...
..$ F4 : num [1:1000] -1.18 -1.51 2.1 -2.46 1.15 ...
..$ F5 : num [1:1000] 1.563 -0.53 -1.55 0.555 -1.586 ...
..$ F6 : num [1:1000] -0.665 2.447 0.323 0.105 0.136 ...
..$ F7 : num [1:1000] 0.8202 -0.2419 -3.2582 -1.0356 -0.0526 ...
..$ F8 : num [1:1000] -0.229 1.426 -2.694 -0.991 0.119 ...
..$ F9 : num [1:1000] -0.0286 -0.8642 0.1983 1.375 -0.3367 ...
..$ F10 : num [1:1000] 1.47 -1.619 0.794 0.522 0.679 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -0.4336 1.6415 -2.1536 -0.0475 -2.4474 ...
..$ F2 : num [1:1000] -1.258 -2.175 -1.593 2.57 -0.756 ...
..$ F3 : num [1:1000] -1.77 1.53 1.54 1.27 1.63 ...
..$ F4 : num [1:1000] 2.253 -1.325 -1.326 2.159 0.502 ...
..$ F5 : num [1:1000] 0.824 -0.223 0.417 0.743 0.973 ...
..$ F6 : num [1:1000] -0.2283 -0.0604 -1.7056 -0.5182 -1.5589 ...
..$ F7 : num [1:1000] -0.466 -0.145 0.929 -0.292 0.306 ...
..$ F8 : num [1:1000] 0.0295 0.4344 0.1107 -1.8983 0.0711 ...
..$ F9 : num [1:1000] 0.117 -0.446 -1.618 -1.08 -1.48 ...
..$ F10 : num [1:1000] 1.392 0.38 -0.745 0.863 -2.499 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 2.61044 -0.45048 -1.4002 -0.00472 0.02211 ...
..$ F2 : num [1:1000] 0.82 2.65 0.221 -0.632 -0.947 ...
..$ F3 : num [1:1000] -1.69 -1.19 2.8 -2.74 3.09 ...
..$ F4 : num [1:1000] -0.722 -0.944 0.419 1.635 0.999 ...
..$ F5 : num [1:1000] 0.109 -0.509 -0.705 1.069 -2.582 ...
..$ F6 : num [1:1000] 0.147 -1.351 0.877 0.288 0.399 ...
..$ F7 : num [1:1000] -0.172 -0.871 -3.575 -0.836 -0.158 ...
..$ F8 : num [1:1000] -0.677 -0.947 1.033 1.04 0.214 ...
..$ F9 : num [1:1000] -0.699 0.397 2.316 0.663 0.619 ...
..$ F10 : num [1:1000] 0.28 -0.736 0.461 0.144 -2.373 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -1.95 0.79 1.95 1.31 1.74 ...
..$ F2 : num [1:1000] -1.09 -1.76 -2.32 1.76 1.52 ...
..$ F3 : num [1:1000] -0.986 -1.032 0.818 -0.223 -1.848 ...
..$ F4 : num [1:1000] 1.9335 -2.2791 0.0659 -2.2719 -1.2636 ...
..$ F5 : num [1:1000] -1.05 -2.511 1.159 -1.512 -0.209 ...
..$ F6 : num [1:1000] -0.0625 1.8345 -1.21 1.1801 0.0768 ...
..$ F7 : num [1:1000] 0.2316 -0.0222 0.4018 -0.7963 0.7489 ...
..$ F8 : num [1:1000] 0.8171 -0.096 1.3001 -1.0955 -0.0468 ...
..$ F9 : num [1:1000] 0.21181 -0.71184 0.00342 -0.5796 0.22192 ...
..$ F10 : num [1:1000] 1.212 -0.214 -0.365 0.174 -0.135 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 1.367 0.41 0.898 -0.8 1.592 ...
..$ F2 : num [1:1000] 2.29 -0.518 1.179 -0.622 1.087 ...
..$ F3 : num [1:1000] 2.253 0.856 -2.646 0.561 -0.776 ...
..$ F4 : num [1:1000] 0.9649 -3.6612 0.0593 -2.8078 -2.7156 ...
..$ F5 : num [1:1000] -0.625 -0.435 -1.153 0.136 1.215 ...
..$ F6 : num [1:1000] 0.202 0.881 0.458 -0.829 0.826 ...
..$ F7 : num [1:1000] 0.393 2.381 -0.463 -1.064 -2.561 ...
..$ F8 : num [1:1000] -0.199 -1.006 0.847 -0.679 -0.913 ...
..$ F9 : num [1:1000] -2.257 0.846 -0.486 0.464 0.351 ...
..$ F10 : num [1:1000] -0.4478 1.2109 0.3792 0.3459 0.0146 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -2.238 2.708 0.566 -1.38 1.885 ...
..$ F2 : num [1:1000] -1.942 -1.113 0.113 1.778 0.957 ...
..$ F3 : num [1:1000] 0.831 -1.432 2.869 0.96 -2.596 ...
..$ F4 : num [1:1000] 1.002 0.463 1.809 -2.102 1.615 ...
..$ F5 : num [1:1000] -0.756 0.942 -0.74 -0.183 0.787 ...
..$ F6 : num [1:1000] -0.192 -1.52 -0.171 0.139 -0.143 ...
..$ F7 : num [1:1000] -0.194 0.431 -0.571 1.725 -1.744 ...
..$ F8 : num [1:1000] -0.0926 -1.3925 -1.039 0.0524 -0.9834 ...
..$ F9 : num [1:1000] -0.1404 -0.0777 1.4599 0.0688 -1.4392 ...
..$ F10 : num [1:1000] -1.887 -0.606 0.326 -0.998 0.338 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 2.45 -2.08 1.09 -1.1 2.6 ...
..$ F2 : num [1:1000] 0.413 1.28 1.875 -2.358 0.396 ...
..$ F3 : num [1:1000] 1.719 -0.293 -0.371 -1.296 -1.758 ...
..$ F4 : num [1:1000] -0.913 -1.931 -2.342 0.837 -1.478 ...
..$ F5 : num [1:1000] -1.503 0.144 -0.129 -0.149 0.296 ...
..$ F6 : num [1:1000] -0.0252 0.2425 -1.8064 -1.3725 2.2701 ...
..$ F7 : num [1:1000] -0.8056 -1.0356 0.5719 -0.0838 -1.9643 ...
..$ F8 : num [1:1000] 0.467 -0.595 0.731 -0.545 1.465 ...
..$ F9 : num [1:1000] 0.349 -0.929 1.396 -0.572 -0.868 ...
..$ F10 : num [1:1000] 0.0759 1.6282 0.2745 -1.3162 0.459 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 1.9622 -0.6237 1.8532 -0.8604 0.0933 ...
..$ F2 : num [1:1000] 1.505 -1.829 2.102 0.772 2.924 ...
..$ F3 : num [1:1000] 1.501 1.6858 -1.4191 0.6597 -0.0818 ...
..$ F4 : num [1:1000] 1.118 -2.554 -0.129 -2.796 -0.877 ...
..$ F5 : num [1:1000] -1.341 1.112 -0.855 -0.443 -0.415 ...
..$ F6 : num [1:1000] -0.302 0.919 0.541 0.623 0.601 ...
..$ F7 : num [1:1000] 0.1297 -0.4495 0.1931 -0.0704 0.2514 ...
..$ F8 : num [1:1000] -0.14 -1.281 0.399 -0.423 0.779 ...
..$ F9 : num [1:1000] 0.286 -2.194 0.903 -0.915 -0.753 ...
..$ F10 : num [1:1000] -2.147 0.62 0.115 -0.752 -1.391 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 2.519 2.129 -2.83 -0.855 0.433 ...
..$ F2 : num [1:1000] 0.613 2.007 1.309 -1.915 -1.042 ...
..$ F3 : num [1:1000] 2.668 -0.323 -0.135 -1.705 2.277 ...
..$ F4 : num [1:1000] -0.0767 -1.6699 0.7198 -2.4455 1.8224 ...
..$ F5 : num [1:1000] 0.304 -1.181 0.651 -1.013 -2.08 ...
..$ F6 : num [1:1000] -1.0547 1.2287 -2.7052 -0.0848 0.8164 ...
..$ F7 : num [1:1000] 0.861 -0.455 0.215 1.198 0.242 ...
..$ F8 : num [1:1000] 0.4189 -0.3301 0.8328 -0.0543 1.273 ...
..$ F9 : num [1:1000] 0.749 1.429 1.486 -1.66 -0.758 ...
..$ F10 : num [1:1000] -0.841 0.766 1.602 -1.347 -0.11 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 0.482 -2.977 -1.327 2.498 -0.435 ...
..$ F2 : num [1:1000] -1.114 0.714 -1.075 -1.332 1.799 ...
..$ F3 : num [1:1000] -2.92 -1.08 -1.96 -1.03 1.18 ...
..$ F4 : num [1:1000] -1.192 -0.577 -1.697 -0.391 -3.098 ...
..$ F5 : num [1:1000] 2.157 1.019 -2.695 0.788 -0.802 ...
..$ F6 : num [1:1000] -0.7088 -0.0014 -0.6978 -0.436 2.923 ...
..$ F7 : num [1:1000] 0.358 -0.629 -0.725 0.514 0.819 ...
..$ F8 : num [1:1000] 0.772 -0.123 0.829 2.232 0.742 ...
..$ F9 : num [1:1000] -0.2027 -0.7848 0.3898 1.6565 0.0476 ...
..$ F10 : num [1:1000] 0.285837 0.604712 0.000953 0.699307 0.303441 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -0.542 2.9341 0.0527 -1.6929 2.1766 ...
..$ F2 : num [1:1000] -0.828 0.899 -2.272 2.784 1.08 ...
..$ F3 : num [1:1000] -0.265 -0.773 -1.126 0.337 -1.355 ...
..$ F4 : num [1:1000] -3.36 1.74 1.86 1.94 1.45 ...
..$ F5 : num [1:1000] 0.0918 0.2292 -1.2757 0.9324 -1.5575 ...
..$ F6 : num [1:1000] 0.872 1.802 -0.682 -0.108 -0.386 ...
..$ F7 : num [1:1000] 0.438 0.262 -1.417 -1.238 0.915 ...
..$ F8 : num [1:1000] 0.334 -0.637 0.812 -1.734 -0.744 ...
..$ F9 : num [1:1000] -0.676 0.983 0.343 -0.304 -0.664 ...
..$ F10 : num [1:1000] 0.237 -0.342 -2.403 -0.317 0.877 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 1.347 1.631 -0.85 -2.471 -0.825 ...
..$ F2 : num [1:1000] -2.397 0.655 1.396 -1.505 1.506 ...
..$ F3 : num [1:1000] -1.59 2.6 2.64 -1.67 -1.09 ...
..$ F4 : num [1:1000] 1.084 1.121 -0.742 0.273 2.368 ...
..$ F5 : num [1:1000] -0.223 1.621 -0.157 1.286 -1.043 ...
..$ F6 : num [1:1000] -0.389 0.542 -1.078 1.902 -0.165 ...
..$ F7 : num [1:1000] -1.084 -0.556 -1.327 -1.189 0.242 ...
..$ F8 : num [1:1000] -0.243478 -0.522436 1.15311 -0.402088 0.000277 ...
..$ F9 : num [1:1000] -0.0342 0.2255 0.6677 -0.1011 -1.108 ...
..$ F10 : num [1:1000] -0.037 -0.9081 1.8274 -0.3577 0.0674 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -1.1313 -1.0915 -2.1267 -0.5386 0.0393 ...
..$ F2 : num [1:1000] -0.4943 -2.3778 -1.4423 -2.3803 0.0238 ...
..$ F3 : num [1:1000] -2.827 -0.304 1.311 -1.105 -3.248 ...
..$ F4 : num [1:1000] 2.04 -1.73 -1.37 1.84 1.16 ...
..$ F5 : num [1:1000] -1.494 -0.697 -1.3 1.41 -1.683 ...
..$ F6 : num [1:1000] -0.745 -0.528 0.654 -0.658 -0.235 ...
..$ F7 : num [1:1000] -0.591 0.45 0.116 -0.946 -1.159 ...
..$ F8 : num [1:1000] -0.194 -1.549 0.194 0.908 -1.895 ...
..$ F9 : num [1:1000] 0.844 -1.641 -0.22 -0.642 0.241 ...
..$ F10 : num [1:1000] 0.545 0.652 -1.345 -2.367 0.489 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 0.723 1.458 1.339 -1.467 -1.143 ...
..$ F2 : num [1:1000] 2.292 -2.406 1.017 -2.669 -0.241 ...
..$ F3 : num [1:1000] -0.591 -1.424 2.68 0.87 1.945 ...
..$ F4 : num [1:1000] -1.714 0.662 -0.408 -1.222 2.634 ...
..$ F5 : num [1:1000] -0.334 -0.603 0.865 1.893 0.176 ...
..$ F6 : num [1:1000] -0.311 0.493 -0.669 -0.641 0.321 ...
..$ F7 : num [1:1000] 0.137 -0.44 -0.503 -0.323 -0.374 ...
..$ F8 : num [1:1000] -1.3936 0.6716 0.6686 0.0547 -1.7846 ...
..$ F9 : num [1:1000] -0.741 1.112 -0.579 -1.434 0.248 ...
..$ F10 : num [1:1000] 0.407 -0.617 -0.469 1.338 2.209 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -0.81 -1.6 3.23 1.55 1.03 ...
..$ F2 : num [1:1000] 2.955 -1.602 -0.931 -0.904 0.851 ...
..$ F3 : num [1:1000] 0.208 -1.208 -0.945 -1.537 -0.916 ...
..$ F4 : num [1:1000] 1.16 -2.39 -1.63 -2 2.6 ...
..$ F5 : num [1:1000] -1.0751 0.0957 0.5813 0.9153 -0.3757 ...
..$ F6 : num [1:1000] -1.08 1.06 -1.04 -1.16 -1.27 ...
..$ F7 : num [1:1000] 0.31 -1.127 0.344 -1.672 0.393 ...
..$ F8 : num [1:1000] 0.5568 -0.6005 0.6694 1.7578 -0.0587 ...
..$ F9 : num [1:1000] -0.68835 -1.07382 1.37632 -0.16078 0.00593 ...
..$ F10 : num [1:1000] 0.2194 -0.7412 -0.1397 -0.5523 0.0304 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 2.3115 -0.9809 -0.6911 0.0549 -1.5124 ...
..$ F2 : num [1:1000] -0.288 -2.883 2.137 2.561 1.528 ...
..$ F3 : num [1:1000] 1.148 1.14 0.714 1.299 0.313 ...
..$ F4 : num [1:1000] -2.035 -0.125 2.523 1.991 2.237 ...
..$ F5 : num [1:1000] -0.605 -0.584 -2.274 1.255 -0.493 ...
..$ F6 : num [1:1000] 0.0867 2.111 -0.8523 0.2644 -2.1034 ...
..$ F7 : num [1:1000] -1.353 1.48 1.143 1.878 -0.501 ...
..$ F8 : num [1:1000] -2.07 1.32 0.18 -0.21 -1.64 ...
..$ F9 : num [1:1000] 0.637 -0.735 0.303 -0.198 0.717 ...
..$ F10 : num [1:1000] -0.916269 -1.156638 1.986284 0.000647 0.645469 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 0.331 2.312 -1.16 -2.945 0.443 ...
..$ F2 : num [1:1000] -1.35 1.62 1.03 1.03 1.91 ...
..$ F3 : num [1:1000] 3.101 1.1 -0.425 -0.201 -2.286 ...
..$ F4 : num [1:1000] 0.481 -0.501 2.823 -1.026 0.524 ...
..$ F5 : num [1:1000] 0.736 -1.365 -0.769 -0.276 -0.581 ...
..$ F6 : num [1:1000] -0.369 0.534 0.234 -0.14 -0.248 ...
..$ F7 : num [1:1000] -0.245 -0.224 1.022 1.065 1.437 ...
..$ F8 : num [1:1000] 1.135 0.123 1.086 -0.526 -0.416 ...
..$ F9 : num [1:1000] 0.848 0.146 -0.601 1.004 -0.603 ...
..$ F10 : num [1:1000] -0.6462 -0.0191 0.3305 1.2977 0.1173 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 2.971 -0.47 -3.328 0.788 0.958 ...
..$ F2 : num [1:1000] -0.109 2.601 -0.415 1.079 2.7 ...
..$ F3 : num [1:1000] 0.515 0.897 1.904 0.441 -1.569 ...
..$ F4 : num [1:1000] -0.8476 -1.3422 0.0484 -2.7189 0.7047 ...
..$ F5 : num [1:1000] -0.42 -0.359 -0.666 0.361 0.124 ...
..$ F6 : num [1:1000] -2.378 -0.944 -0.315 0.916 -0.111 ...
..$ F7 : num [1:1000] 1.489 0.419 0.558 -1.307 -0.561 ...
..$ F8 : num [1:1000] -0.24 2.029 -0.132 1.404 1.853 ...
..$ F9 : num [1:1000] 0.207 -1.111 0.933 -2.625 -0.968 ...
..$ F10 : num [1:1000] 0.9192 0.0889 0.3397 -0.1583 0.5777 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 2.178 -0.676 1.601 1.018 0.348 ...
..$ F2 : num [1:1000] -2.175 -1.649 1.371 0.359 0.576 ...
..$ F3 : num [1:1000] 1.4437 2.568 0.0225 0.339 -1.7539 ...
..$ F4 : num [1:1000] 0.135 -1.158 2.674 -2.816 2.824 ...
..$ F5 : num [1:1000] -1.2567 -0.0582 -0.1911 -0.8107 1.4737 ...
..$ F6 : num [1:1000] -0.747 -0.436 0.302 -1.046 1.881 ...
..$ F7 : num [1:1000] 0.225 -1.276 -1.229 -0.322 -0.264 ...
..$ F8 : num [1:1000] 0.442 -1.422 -1.473 -0.292 -0.41 ...
..$ F9 : num [1:1000] -0.83 0.146 -0.387 -0.615 1.053 ...
..$ F10 : num [1:1000] -0.795 -0.51 0.769 0.536 1.96 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -1.4643 1.9587 0.0347 1.3349 0.945 ...
..$ F2 : num [1:1000] -0.119 0.6149 -0.0136 1.9004 3.0862 ...
..$ F3 : num [1:1000] -1.391 -2.019 2.474 1.295 0.102 ...
..$ F4 : num [1:1000] 2.275 -0.855 -1.781 -2.06 -1.607 ...
..$ F5 : num [1:1000] -0.2862 -0.0698 -0.7518 1.2499 -0.2032 ...
..$ F6 : num [1:1000] 0.61 0.359 -0.822 -0.763 1.655 ...
..$ F7 : num [1:1000] -0.1185 0.9841 0.8009 0.0775 1.4287 ...
..$ F8 : num [1:1000] -1.468 0.113 -0.279 0.805 0.291 ...
..$ F9 : num [1:1000] -1.762 0.355 0.367 0.389 0.627 ...
..$ F10 : num [1:1000] -0.89 -1.368 -1.573 0.422 1.786 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 1.806 0.858 -2.068 -1.236 0.769 ...
..$ F2 : num [1:1000] 1.73 -0.626 2.325 -2.021 1.688 ...
..$ F3 : num [1:1000] 1.59 -1.98 -1.52 -1.46 -2.55 ...
..$ F4 : num [1:1000] 2.074 2.299 0.468 -1.138 -1.172 ...
..$ F5 : num [1:1000] -0.323 -0.946 0.244 -2.082 1.101 ...
..$ F6 : num [1:1000] 0.8481 1.4575 -0.3528 -0.0264 0.6275 ...
..$ F7 : num [1:1000] -1.3015 0.1752 0.2513 -0.0623 -1.5353 ...
..$ F8 : num [1:1000] -1.3665 0.54 -1.1536 -0.0245 -0.0206 ...
..$ F9 : num [1:1000] -0.1979 -1.2556 -0.8346 -0.0437 0.24 ...
..$ F10 : num [1:1000] -0.3107 -1.9501 -0.26 1.5904 0.0366 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 50 50 50 50 50 50 50 50 50 50 ...
ElemStatLearn documentation built on Aug. 12, 2019, 9:04 a.m.
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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 12 variables: ..\$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ... ..\$ F1 : num [1:1000] -0.780 2.097 0.798 -0.896 -0.365 ... ..\$ F2 : num [1:1000] 2.5767 0.4146 0.0381 -2.0925 -2.2895 ... ..\$ F3 : num [1:1000] 1.18 -2.45 -2.03 -1.36 -2.63 ... ..\$ F4 : num [1:1000] -0.997 0.710 -2.223 2.478 -0.666 ... ..\$ F5 : num [1:1000] -0.308 0.418 0.407 -0.198 1.347 ... ..\$ F6 : num [1:1000] 0.126 -0.718 -1.173 2.390 0.122 ... ..\$ F7 : num [1:1000] 0.3233 0.0846 0.3814 -0.5928 -0.0555 ... ..\$ F8 : num [1:1000] -0.668 1.836 2.006 -0.782 -0.164 ... ..\$ F9 : num [1:1000] -1.7559 -0.0389 1.7472 -2.1746 0.5236 ... ..\$ F10 : num [1:1000] -0.926 0.196 -0.960 -0.820 -1.207 ... ..\$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -0.78 2.097 0.798 -0.896 -0.365 ...
..$ F2 : num [1:1000] 2.5767 0.4146 0.0381 -2.0925 -2.2895 ...
..$ F3 : num [1:1000] 1.18 -2.45 -2.03 -1.36 -2.63 ...
..$ F4 : num [1:1000] -0.997 0.71 -2.223 2.478 -0.666 ...
..$ F5 : num [1:1000] -0.308 0.418 0.407 -0.198 1.347 ...
..$ F6 : num [1:1000] 0.126 -0.718 -1.173 2.39 0.122 ...
..$ F7 : num [1:1000] 0.3233 0.0846 0.3814 -0.5928 -0.0555 ...
..$ F8 : num [1:1000] -0.668 1.836 2.006 -0.782 -0.164 ...
..$ F9 : num [1:1000] -1.7559 -0.0389 1.7472 -2.1746 0.5236 ...
..$ F10 : num [1:1000] -0.926 0.196 -0.96 -0.82 -1.207 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -1.96 0.982 -0.421 -2.84 0.908 ...
..$ F2 : num [1:1000] -1.914 -1.509 2.116 1.43 -0.377 ...
..$ F3 : num [1:1000] 0.184 -1.974 -2.594 0.666 -1.786 ...
..$ F4 : num [1:1000] 1.596 1.642 0.87 -0.589 -2.276 ...
..$ F5 : num [1:1000] -0.483 -0.44 0.706 -1.136 0.69 ...
..$ F6 : num [1:1000] 0.191 -1.295 -0.787 -1.323 0.112 ...
..$ F7 : num [1:1000] -0.2399 -1.3999 -1.1863 -0.2858 -0.0254 ...
..$ F8 : num [1:1000] 0.8335 0.6878 1.2634 -0.0812 -0.4583 ...
..$ F9 : num [1:1000] 0.6478 -0.0179 1.2933 -0.0296 1.197 ...
..$ F10 : num [1:1000] -0.759 0.329 0.85 0.178 2.212 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 2.3 -2.36 1.92 1.51 -1.91 ...
..$ F2 : num [1:1000] 0.388 -0.38 -1.939 1.756 -1.77 ...
..$ F3 : num [1:1000] 0.662 0.944 -0.579 -1.163 1.576 ...
..$ F4 : num [1:1000] 2.063 1.837 -2.055 -1.726 -0.497 ...
..$ F5 : num [1:1000] -1.129 -1.254 0.94 -0.186 0.732 ...
..$ F6 : num [1:1000] 2.197 -1.116 -1.62 -1.546 -0.372 ...
..$ F7 : num [1:1000] 2.0935 0.67519 0.7538 -0.00499 0.77372 ...
..$ F8 : num [1:1000] 0.994 1.568 -0.28 -0.64 0.293 ...
..$ F9 : num [1:1000] -0.0416 1.6795 0.1009 2.1644 -0.7995 ...
..$ F10 : num [1:1000] 0.0102 -0.0896 -0.8862 1.2921 0.3543 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 0.792 -2.512 -2.128 -2.01 -2.829 ...
..$ F2 : num [1:1000] 0.905 -0.123 2.199 0.823 1.697 ...
..$ F3 : num [1:1000] -3.286 1.656 1.549 -2.286 0.881 ...
..$ F4 : num [1:1000] 0.593 -0.316 0.111 -0.459 0.526 ...
..$ F5 : num [1:1000] -0.408 1.622 -0.023 1.511 -1.002 ...
..$ F6 : num [1:1000] 0.834 -1.665 -2.653 -0.114 -0.467 ...
..$ F7 : num [1:1000] -0.465 0.595 0.25 0.289 -0.933 ...
..$ F8 : num [1:1000] -0.274 -0.057 -0.5846 0.2243 -0.0245 ...
..$ F9 : num [1:1000] 0.732 -0.468 0.831 -0.576 0.833 ...
..$ F10 : num [1:1000] -0.1262 -1.6982 1.2297 0.0615 -0.5208 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -1.4 -1.201 0.447 0.668 1.762 ...
..$ F2 : num [1:1000] 1.37 1.77 2.03 2.57 2.51 ...
..$ F3 : num [1:1000] 1.546 1.971 -0.326 0.242 1.743 ...
..$ F4 : num [1:1000] -1.67 -1.134 -2.164 1.513 -0.334 ...
..$ F5 : num [1:1000] 0.518 0.491 -0.998 2.587 1.528 ...
..$ F6 : num [1:1000] -1.951 -1.248 -0.817 -1.765 -0.473 ...
..$ F7 : num [1:1000] -1.259 -0.555 -0.827 1.051 -0.291 ...
..$ F8 : num [1:1000] 0.0504 -2.8889 -0.5664 1.7779 0.6454 ...
..$ F9 : num [1:1000] 1.6809 -0.4108 1.1783 0.0603 1.3761 ...
..$ F10 : num [1:1000] -0.3946 1.637 -0.0274 -0.5534 0.6436 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 1.02 -3.324 2.418 2.291 -0.436 ...
..$ F2 : num [1:1000] -0.278 -0.602 0.105 -0.215 0.479 ...
..$ F3 : num [1:1000] 1.577 0.218 -0.554 1.535 -1.709 ...
..$ F4 : num [1:1000] 2.7377 -0.0657 1.6945 1.2874 3.2024 ...
..$ F5 : num [1:1000] -0.1782 -0.7729 -0.1814 -2.1466 -0.0132 ...
..$ F6 : num [1:1000] -0.415 -0.807 1.492 -1.193 1.516 ...
..$ F7 : num [1:1000] -0.27903 1.49954 -0.54415 -0.95316 0.00717 ...
..$ F8 : num [1:1000] -0.098 0.515 1.793 -1.074 -1.939 ...
..$ F9 : num [1:1000] -1.149 0.116 -1.445 0.777 0.122 ...
..$ F10 : num [1:1000] -1.019 -0.549 -0.298 0.382 1.315 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -0.774 0.205 1.084 2.196 -1.653 ...
..$ F2 : num [1:1000] -2.04 -1.69 -2.97 1.01 -1.33 ...
..$ F3 : num [1:1000] 2.295 2.712 -0.522 0.018 0.285 ...
..$ F4 : num [1:1000] 1.8583 0.0891 0.1661 1.9167 -2.2269 ...
..$ F5 : num [1:1000] 0.0456 0.3976 0.0745 -1.1792 1.9034 ...
..$ F6 : num [1:1000] 0.152 -1.033 0.649 0.553 1.146 ...
..$ F7 : num [1:1000] -0.62 0.433 0.223 1.098 1.274 ...
..$ F8 : num [1:1000] -0.55 -1.3317 0.0972 -0.4717 -0.9833 ...
..$ F9 : num [1:1000] 0.809 -0.334 1.077 -0.967 -1.728 ...
..$ F10 : num [1:1000] 0.808 -0.54 -1.045 -0.927 1.016 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 1.4462 2.2488 -1.8528 0.9625 0.0955 ...
..$ F2 : num [1:1000] -2.15 -2.5 -1.97 2.12 -1.8 ...
..$ F3 : num [1:1000] 1.455 -1.848 0.987 3.029 2.88 ...
..$ F4 : num [1:1000] -1.7793 -0.3684 1.8075 0.9663 -0.0345 ...
..$ F5 : num [1:1000] 0.302 -1.196 -0.481 -0.167 1.13 ...
..$ F6 : num [1:1000] -0.399 1.11 -1.611 0.157 0.165 ...
..$ F7 : num [1:1000] 0.524 0.708 -0.634 -0.426 1.099 ...
..$ F8 : num [1:1000] -0.724 1.87 -0.237 -0.163 -0.207 ...
..$ F9 : num [1:1000] 0.0595 -0.389 -0.359 0.0596 0.9609 ...
..$ F10 : num [1:1000] -0.939 -0.559 1.795 0.146 0.496 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 1.141 -0.748 -0.174 -3.383 -0.613 ...
..$ F2 : num [1:1000] 1.768 -1.215 -3.625 -0.675 2.618 ...
..$ F3 : num [1:1000] 1.288 1.937 0.143 0.524 0.347 ...
..$ F4 : num [1:1000] -1.761 2.067 0.625 -0.333 1.684 ...
..$ F5 : num [1:1000] 0.294 -1.147 -0.824 -0.117 -1.141 ...
..$ F6 : num [1:1000] -0.4009 -0.0887 0.8471 -1.0021 1.2013 ...
..$ F7 : num [1:1000] -1.168 0.762 -0.598 0.284 -1.1 ...
..$ F8 : num [1:1000] 0.9311 -0.0644 -0.6604 1.5462 2.0641 ...
..$ F9 : num [1:1000] -0.3761 -0.983 -0.5115 -0.0655 0.6419 ...
..$ F10 : num [1:1000] 1.811 0.785 0.224 1.017 -1.131 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 0.909 0.718 -0.614 -1.963 -0.36 ...
..$ F2 : num [1:1000] -2.22 1.33 -1.35 1.02 2.72 ...
..$ F3 : num [1:1000] 0.0616 -0.238 0.0467 1.2647 0.8733 ...
..$ F4 : num [1:1000] 2.41 2.74 -3.48 1.85 -1.52 ...
..$ F5 : num [1:1000] 0.31 1.451 1.188 1.487 -0.978 ...
..$ F6 : num [1:1000] 0.142 -0.593 -0.76 -0.903 -0.204 ...
..$ F7 : num [1:1000] -1.1 -0.197 0.406 0.146 0.755 ...
..$ F8 : num [1:1000] -0.0634 -2.0726 0.5165 0.2295 0.4893 ...
..$ F9 : num [1:1000] 0.198 0.932 1.225 -0.862 0.971 ...
..$ F10 : num [1:1000] 0.317 -1.383 2.354 1.631 0.632 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 1.444 2.674 -0.686 1.503 2.99 ...
..$ F2 : num [1:1000] 1.526 -0.435 2.164 -0.995 -1.521 ...
..$ F3 : num [1:1000] -2.382 -1.683 -2.455 -1.366 -0.246 ...
..$ F4 : num [1:1000] -0.747 0.288 1.654 -2.22 0.596 ...
..$ F5 : num [1:1000] -0.4405 0.5963 0.6664 -0.0111 -1.0059 ...
..$ F6 : num [1:1000] -0.998 0.384 -0.507 -0.629 0.202 ...
..$ F7 : num [1:1000] 0.0277 -0.0671 0.4 0.5163 0.9878 ...
..$ F8 : num [1:1000] -1.678 0.711 0.388 0.576 0.352 ...
..$ F9 : num [1:1000] 1.218 -0.86 -1.269 -0.275 1.033 ...
..$ F10 : num [1:1000] 0.1107 -0.8158 -0.0515 -0.9409 0.2403 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -1.939 1.649 0.924 -1.646 0.154 ...
..$ F2 : num [1:1000] 0.353 0.387 0.555 -1.248 1.115 ...
..$ F3 : num [1:1000] 0.689 -1.486 -1.527 -2.261 1.906 ...
..$ F4 : num [1:1000] 2.27 2.2 -2.38 1.06 -2.2 ...
..$ F5 : num [1:1000] 0.106 2.552 -0.832 -0.355 -0.743 ...
..$ F6 : num [1:1000] -1.081 -0.57 0.121 -0.468 -1.139 ...
..$ F7 : num [1:1000] 0.0312 -0.1173 -0.2118 -1.0968 0.2518 ...
..$ F8 : num [1:1000] -0.16279 -0.23416 -0.38341 0.42838 0.00754 ...
..$ F9 : num [1:1000] -0.968 -0.385 -0.199 -1.073 -0.224 ...
..$ F10 : num [1:1000] 0.4398 0.3487 0.9657 -1.1206 0.0519 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -0.535 -0.375 1.112 2.789 0.913 ...
..$ F2 : num [1:1000] -1.37 2.33 -1.51 -1.17 -1.3 ...
..$ F3 : num [1:1000] -2.213 -1.867 0.301 0.414 -1.193 ...
..$ F4 : num [1:1000] -1.553 -1.314 -2.472 -0.377 -2.493 ...
..$ F5 : num [1:1000] -1.217 -0.166 -0.367 -1.188 1.085 ...
..$ F6 : num [1:1000] -0.646 1.13 0.246 -0.361 -1.504 ...
..$ F7 : num [1:1000] 1.193 0.347 -0.815 1.109 -0.293 ...
..$ F8 : num [1:1000] 0.22 0.675 0.564 -1.046 -0.39 ...
..$ F9 : num [1:1000] -0.729 -1.869 -0.792 -1.164 -0.589 ...
..$ F10 : num [1:1000] 0.9985 0.1934 1.3464 0.0433 -0.4104 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 2.11 -2.33 -1.27 -2.04 2.21 ...
..$ F2 : num [1:1000] -2.668 -1.954 0.417 -0.527 -1.702 ...
..$ F3 : num [1:1000] 0.228 -1.395 -2.623 -2.575 0.82 ...
..$ F4 : num [1:1000] 0.803 -1.003 0.884 1.198 1.105 ...
..$ F5 : num [1:1000] -0.9465 0.0247 -1.719 0.963 0.3009 ...
..$ F6 : num [1:1000] -2.459 -0.737 1.389 -0.631 -0.491 ...
..$ F7 : num [1:1000] -0.244 -0.149 -0.615 0.393 0.841 ...
..$ F8 : num [1:1000] 1.023 -0.641 -0.461 -0.615 0.618 ...
..$ F9 : num [1:1000] 0.49 0.604 1.011 0.656 0.114 ...
..$ F10 : num [1:1000] -0.2174 1.9525 1.0533 -0.0433 -0.9322 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -0.6065 0.0217 1.3685 -1.8882 1.6498 ...
..$ F2 : num [1:1000] -1.65 2.48 1.16 -1.69 1.54 ...
..$ F3 : num [1:1000] 2.201 1.565 1.07 1.539 0.701 ...
..$ F4 : num [1:1000] 2.08 1.63 -2.48 -2.38 2.05 ...
..$ F5 : num [1:1000] -0.163 0.584 -1.18 0.992 1.359 ...
..$ F6 : num [1:1000] 0.871 -0.628 -0.374 1.069 -1.306 ...
..$ F7 : num [1:1000] -0.144 -0.283 0.54 -0.604 -1.299 ...
..$ F8 : num [1:1000] 0.709 -0.6 0.76 0.918 1.146 ...
..$ F9 : num [1:1000] -1.21098 -0.28403 0.00186 -1.51108 0.06021 ...
..$ F10 : num [1:1000] -0.285 -0.174 1.528 -0.702 -1.045 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 1.774 -2.123 0.345 -1.043 1.718 ...
..$ F2 : num [1:1000] 1.804 -1.141 1.023 0.832 -2.055 ...
..$ F3 : num [1:1000] -0.294 1.902 -2.38 -0.452 -1.451 ...
..$ F4 : num [1:1000] -2.2402 0.0171 -1.9099 3.0963 -0.4665 ...
..$ F5 : num [1:1000] -0.51333 -1.27138 0.70305 0.00529 -0.22324 ...
..$ F6 : num [1:1000] 0.918 -0.459 0.919 -0.466 -0.734 ...
..$ F7 : num [1:1000] -0.601 -1.3 -0.668 0.15 -0.71 ...
..$ F8 : num [1:1000] -0.9818 0.0502 1.7684 -1.8393 0.7106 ...
..$ F9 : num [1:1000] 0.9763 -0.0618 0.2795 -0.1533 -0.2304 ...
..$ F10 : num [1:1000] 1.157 -1.835 0.702 -0.06 -0.477 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -2.095 0.462 -1.022 -1.092 -0.256 ...
..$ F2 : num [1:1000] -1.08 3.27 2.11 -1.35 1.39 ...
..$ F3 : num [1:1000] 2.152 -0.347 -0.927 1.937 -2.56 ...
..$ F4 : num [1:1000] 0.644 0.272 1.693 -1.881 -1.191 ...
..$ F5 : num [1:1000] 0.3181 0.7932 0.0301 -0.4887 0.0382 ...
..$ F6 : num [1:1000] 0.06323 -0.20808 -0.00226 1.46862 1.59958 ...
..$ F7 : num [1:1000] 1.372 0.465 -1.206 0.618 1.046 ...
..$ F8 : num [1:1000] 1.112 -0.403 1.212 -0.815 0.956 ...
..$ F9 : num [1:1000] -1.012 -0.605 -1.833 -0.995 1.502 ...
..$ F10 : num [1:1000] 0.524 -0.354 0.146 1.124 0.674 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -0.343 1.439 -0.615 0.797 1.467 ...
..$ F2 : num [1:1000] -2.413 -0.767 0.719 3.302 -2.296 ...
..$ F3 : num [1:1000] 1.31 2.759 -2.988 0.644 -0.949 ...
..$ F4 : num [1:1000] -2.048 -0.553 -0.864 0.293 -2.252 ...
..$ F5 : num [1:1000] -1.08 -0.9 1.024 -1.759 -0.934 ...
..$ F6 : num [1:1000] 0.0986 2.0259 -0.2865 -0.5857 -1.0458 ...
..$ F7 : num [1:1000] 0.979 1.732 -1.034 -1.021 1.317 ...
..$ F8 : num [1:1000] 1.276 -0.358 -0.817 -1.089 0.193 ...
..$ F9 : num [1:1000] -0.7674 -0.3228 0.4118 -0.0762 0.2181 ...
..$ F10 : num [1:1000] -0.7459 -0.9056 1.6223 0.5855 0.0796 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -1.196 -2.271 0.794 -0.538 1.241 ...
..$ F2 : num [1:1000] -0.138 0.158 1.699 0.372 -1.864 ...
..$ F3 : num [1:1000] -0.812 1.369 -2.412 -1.654 -1.777 ...
..$ F4 : num [1:1000] 2.982 2.458 0.868 2.821 -1.878 ...
..$ F5 : num [1:1000] 0.19 -0.111 0.493 1.657 1.67 ...
..$ F6 : num [1:1000] 0.0852 0.661 0.2116 -0.6462 -0.8287 ...
..$ F7 : num [1:1000] 0.049 0.377 1.422 1.133 1.251 ...
..$ F8 : num [1:1000] 0.482 0.917 -0.692 2.095 0.399 ...
..$ F9 : num [1:1000] 1.11 0.444 -0.241 0.96 0.219 ...
..$ F10 : num [1:1000] -1.976 -2.377 1.768 -0.258 -1.992 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -3.43 1.87 2.01 1.99 1.26 ...
..$ F2 : num [1:1000] 0.458 2.248 0.921 2.117 1.562 ...
..$ F3 : num [1:1000] 0.827 1.465 -2.088 0.79 -0.441 ...
..$ F4 : num [1:1000] -0.0979 1.8209 -0.1738 0.7066 2.412 ...
..$ F5 : num [1:1000] -0.567 -0.477 -0.891 0.434 0.677 ...
..$ F6 : num [1:1000] -0.78 0.618 -0.703 -0.319 0.814 ...
..$ F7 : num [1:1000] -0.341 0.115 0.535 -1.168 0.277 ...
..$ F8 : num [1:1000] -0.111 0.838 0.935 -0.117 0.881 ...
..$ F9 : num [1:1000] 1.263 -0.208 1.851 -0.38 0.88 ...
..$ F10 : num [1:1000] -1.415 0.228 -0.225 0.304 1.16 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 0.22 2.293 0.524 -0.451 1.98 ...
..$ F2 : num [1:1000] -0.775 0.528 0.88 0.313 -0.946 ...
..$ F3 : num [1:1000] -3.378018 0.000334 -3.784057 -3.002957 -1.947759 ...
..$ F4 : num [1:1000] -0.758 2.664 0.197 0.761 -0.931 ...
..$ F5 : num [1:1000] 0.105 1.509 1.209 -0.322 1.115 ...
..$ F6 : num [1:1000] -0.1351 0.0914 0.5979 1.3569 0.8053 ...
..$ F7 : num [1:1000] -2.001 -0.498 -0.517 -0.471 0.776 ...
..$ F8 : num [1:1000] -0.778 0.707 -1.59 0.506 -2.488 ...
..$ F9 : num [1:1000] 2.227 0.184 -0.82 -0.672 -1.721 ...
..$ F10 : num [1:1000] 0.611 -1.294 -0.47 0.413 0.169 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -2.371 -2.087 0.287 -1.058 0.452 ...
..$ F2 : num [1:1000] -0.798 -1.16 -2.722 2.298 -1.527 ...
..$ F3 : num [1:1000] -1.959 0.855 1.935 -0.145 2.778 ...
..$ F4 : num [1:1000] 0.0663 -2.4479 -0.4407 1.9805 1.4528 ...
..$ F5 : num [1:1000] -1.039 -0.568 0.525 1.466 0.372 ...
..$ F6 : num [1:1000] 0.522 -0.266 0.408 -0.3 -2.107 ...
..$ F7 : num [1:1000] -1.1783 0.9259 0.0454 0.7978 0.0732 ...
..$ F8 : num [1:1000] 1.0439 0.0593 1.3041 -2.6491 -0.3158 ...
..$ F9 : num [1:1000] 0.9474 1.558 -0.0022 1.1677 0.1935 ...
..$ F10 : num [1:1000] 0.0941 -0.1794 -0.1525 0.0828 -0.9863 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -1.379 -1.684 0.981 2.506 1.181 ...
..$ F2 : num [1:1000] -2.341 1.716 -2.99 -0.386 2.327 ...
..$ F3 : num [1:1000] 0.2134 -2.2446 -0.363 0.6036 -0.0498 ...
..$ F4 : num [1:1000] -1.715 -0.118 -1.884 1.857 -2.08 ...
..$ F5 : num [1:1000] -0.561 -0.546 0.444 -0.503 -0.633 ...
..$ F6 : num [1:1000] -1.665 -1.815 -0.191 0.523 -1.008 ...
..$ F7 : num [1:1000] -1.229 -0.604 -0.27 0.238 0.132 ...
..$ F8 : num [1:1000] 0.324 -0.141 -1.026 1.57 0.891 ...
..$ F9 : num [1:1000] -0.713 1.948 0.411 0.079 -0.917 ...
..$ F10 : num [1:1000] 1.033 -0.517 -0.226 -0.618 -1.071 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -0.8675 1.0785 -1.3965 -0.0152 0.7055 ...
..$ F2 : num [1:1000] 1.538 0.955 -2.668 2.343 1.601 ...
..$ F3 : num [1:1000] -2.134 -2.868 0.59 0.332 -2.068 ...
..$ F4 : num [1:1000] -1.18 0.6 1.3 -2.2 1.34 ...
..$ F5 : num [1:1000] 1.345 0.504 -1.965 1.916 -0.773 ...
..$ F6 : num [1:1000] 0.668 -0.309 -1.626 -0.443 -0.987 ...
..$ F7 : num [1:1000] -0.455 0.129 0.922 -0.261 -0.905 ...
..$ F8 : num [1:1000] 1.1411 0.0248 0.1005 -0.8658 -0.3234 ...
..$ F9 : num [1:1000] 0.12194 1.64174 -0.00857 -1.12689 0.46662 ...
..$ F10 : num [1:1000] 0.7 -2.2394 0.2439 0.6569 -0.0626 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -3.173 1.691 -0.349 -2.182 2.015 ...
..$ F2 : num [1:1000] 0.948 1.772 0.469 -1.848 1.561 ...
..$ F3 : num [1:1000] -1.01 -2.943 0.731 1.538 2.011 ...
..$ F4 : num [1:1000] -0.48 -1.01 2.981 -0.372 0.944 ...
..$ F5 : num [1:1000] 0.25 0.205 -0.263 -0.809 0.18 ...
..$ F6 : num [1:1000] -0.6228 0.1887 -0.5903 -0.0531 -0.4642 ...
..$ F7 : num [1:1000] -0.3671 0.1694 -1.1739 -0.1034 0.0322 ...
..$ F8 : num [1:1000] -0.2426 -0.4718 -0.0561 -1.6475 0.2146 ...
..$ F9 : num [1:1000] 0.00117 -0.15387 0.37687 -0.8718 -1.26168 ...
..$ F10 : num [1:1000] 0.761 1.062 -0.778 1.324 -1.104 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -1.5133 2.1596 -0.3046 -0.0901 -1.4256 ...
..$ F2 : num [1:1000] 1.93 -0.698 -2.378 3.828 -2.832 ...
..$ F3 : num [1:1000] 1.503 0.144 0.349 -0.215 -0.182 ...
..$ F4 : num [1:1000] 1.038 2.092 -1.993 0.936 1.971 ...
..$ F5 : num [1:1000] 0.799 0.727 0.92 0.547 1.051 ...
..$ F6 : num [1:1000] -0.759 0.396 1.015 0.4 0.982 ...
..$ F7 : num [1:1000] -0.387 0.441 0.55 -0.672 0.018 ...
..$ F8 : num [1:1000] -1.6951 -0.7619 -0.3532 0.0721 0.5959 ...
..$ F9 : num [1:1000] 1.048 0.745 -0.932 0.215 0.122 ...
..$ F10 : num [1:1000] -0.67965 -2.06389 -1.35913 -0.93782 -0.00834 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -1.786 2.491 2.126 0.314 2.85 ...
..$ F2 : num [1:1000] 2.076 -1.148 -0.349 -0.947 -1.175 ...
..$ F3 : num [1:1000] 0.063 1.534 -1.92 2.179 -0.395 ...
..$ F4 : num [1:1000] 1.3306 -0.0538 -1.5828 2.9328 -1.6491 ...
..$ F5 : num [1:1000] -1.325 1.055 -2.344 -1.068 0.751 ...
..$ F6 : num [1:1000] -0.1655 0.0652 -1.5169 -1.6773 1.7609 ...
..$ F7 : num [1:1000] -1.127 -0.166 1.822 -0.652 0.404 ...
..$ F8 : num [1:1000] 0.294 0.375 -0.223 -0.254 -1.734 ...
..$ F9 : num [1:1000] -1.216 0.831 -0.203 -0.457 -1.303 ...
..$ F10 : num [1:1000] 1.002 1.004 2.367 0.145 1.055 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 2.756 -0.231 -0.408 -0.685 0.645 ...
..$ F2 : num [1:1000] 1.398 0.506 -2.056 1.653 -0.886 ...
..$ F3 : num [1:1000] 0.117 -3.306 3.197 0.994 1.744 ...
..$ F4 : num [1:1000] 0.826 1.331 0.343 2.627 -2.595 ...
..$ F5 : num [1:1000] -0.751 -1.153 0.854 1.274 -0.43 ...
..$ F6 : num [1:1000] 0.281 0.657 1.077 0.507 1.132 ...
..$ F7 : num [1:1000] -0.614 -0.564 -0.309 0.555 0.722 ...
..$ F8 : num [1:1000] 0.00373 0.15473 -0.48713 -1.47502 -0.20223 ...
..$ F9 : num [1:1000] 0.8723 1.5037 -0.015 1.3379 0.0824 ...
..$ F10 : num [1:1000] -0.723 -0.926 -0.23 1.561 -1.59 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 1.15 1.31 -1.65 -2.05 2.27 ...
..$ F2 : num [1:1000] 0.198 -1.154 -0.898 0.901 0.105 ...
..$ F3 : num [1:1000] -2.71 -2.78 2.6 -2.15 -1.5 ...
..$ F4 : num [1:1000] 1.8689 -0.3724 0.9786 0.0105 2.326 ...
..$ F5 : num [1:1000] 2.17058 1.50084 -0.00484 -0.1198 -1.49962 ...
..$ F6 : num [1:1000] -0.7452 0.1103 -0.0572 -1.0126 0.6366 ...
..$ F7 : num [1:1000] -1.1 0.554 1.004 0.35 -0.491 ...
..$ F8 : num [1:1000] -0.0338 -0.2516 -1.9962 -0.8589 0.7008 ...
..$ F9 : num [1:1000] -0.261 0.112 -0.843 1.134 0.949 ...
..$ F10 : num [1:1000] 0.745 1.049 -0.857 -1.173 0.945 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 2.96 -3.17 -1.38 2.35 2.41 ...
..$ F2 : num [1:1000] 0.37 -0.285 -0.968 -1.001 0.288 ...
..$ F3 : num [1:1000] 0.327 1.148 1.485 0.286 1.535 ...
..$ F4 : num [1:1000] -1.18 -1.51 2.1 -2.46 1.15 ...
..$ F5 : num [1:1000] 1.563 -0.53 -1.55 0.555 -1.586 ...
..$ F6 : num [1:1000] -0.665 2.447 0.323 0.105 0.136 ...
..$ F7 : num [1:1000] 0.8202 -0.2419 -3.2582 -1.0356 -0.0526 ...
..$ F8 : num [1:1000] -0.229 1.426 -2.694 -0.991 0.119 ...
..$ F9 : num [1:1000] -0.0286 -0.8642 0.1983 1.375 -0.3367 ...
..$ F10 : num [1:1000] 1.47 -1.619 0.794 0.522 0.679 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -0.4336 1.6415 -2.1536 -0.0475 -2.4474 ...
..$ F2 : num [1:1000] -1.258 -2.175 -1.593 2.57 -0.756 ...
..$ F3 : num [1:1000] -1.77 1.53 1.54 1.27 1.63 ...
..$ F4 : num [1:1000] 2.253 -1.325 -1.326 2.159 0.502 ...
..$ F5 : num [1:1000] 0.824 -0.223 0.417 0.743 0.973 ...
..$ F6 : num [1:1000] -0.2283 -0.0604 -1.7056 -0.5182 -1.5589 ...
..$ F7 : num [1:1000] -0.466 -0.145 0.929 -0.292 0.306 ...
..$ F8 : num [1:1000] 0.0295 0.4344 0.1107 -1.8983 0.0711 ...
..$ F9 : num [1:1000] 0.117 -0.446 -1.618 -1.08 -1.48 ...
..$ F10 : num [1:1000] 1.392 0.38 -0.745 0.863 -2.499 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 2.61044 -0.45048 -1.4002 -0.00472 0.02211 ...
..$ F2 : num [1:1000] 0.82 2.65 0.221 -0.632 -0.947 ...
..$ F3 : num [1:1000] -1.69 -1.19 2.8 -2.74 3.09 ...
..$ F4 : num [1:1000] -0.722 -0.944 0.419 1.635 0.999 ...
..$ F5 : num [1:1000] 0.109 -0.509 -0.705 1.069 -2.582 ...
..$ F6 : num [1:1000] 0.147 -1.351 0.877 0.288 0.399 ...
..$ F7 : num [1:1000] -0.172 -0.871 -3.575 -0.836 -0.158 ...
..$ F8 : num [1:1000] -0.677 -0.947 1.033 1.04 0.214 ...
..$ F9 : num [1:1000] -0.699 0.397 2.316 0.663 0.619 ...
..$ F10 : num [1:1000] 0.28 -0.736 0.461 0.144 -2.373 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -1.95 0.79 1.95 1.31 1.74 ...
..$ F2 : num [1:1000] -1.09 -1.76 -2.32 1.76 1.52 ...
..$ F3 : num [1:1000] -0.986 -1.032 0.818 -0.223 -1.848 ...
..$ F4 : num [1:1000] 1.9335 -2.2791 0.0659 -2.2719 -1.2636 ...
..$ F5 : num [1:1000] -1.05 -2.511 1.159 -1.512 -0.209 ...
..$ F6 : num [1:1000] -0.0625 1.8345 -1.21 1.1801 0.0768 ...
..$ F7 : num [1:1000] 0.2316 -0.0222 0.4018 -0.7963 0.7489 ...
..$ F8 : num [1:1000] 0.8171 -0.096 1.3001 -1.0955 -0.0468 ...
..$ F9 : num [1:1000] 0.21181 -0.71184 0.00342 -0.5796 0.22192 ...
..$ F10 : num [1:1000] 1.212 -0.214 -0.365 0.174 -0.135 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 1.367 0.41 0.898 -0.8 1.592 ...
..$ F2 : num [1:1000] 2.29 -0.518 1.179 -0.622 1.087 ...
..$ F3 : num [1:1000] 2.253 0.856 -2.646 0.561 -0.776 ...
..$ F4 : num [1:1000] 0.9649 -3.6612 0.0593 -2.8078 -2.7156 ...
..$ F5 : num [1:1000] -0.625 -0.435 -1.153 0.136 1.215 ...
..$ F6 : num [1:1000] 0.202 0.881 0.458 -0.829 0.826 ...
..$ F7 : num [1:1000] 0.393 2.381 -0.463 -1.064 -2.561 ...
..$ F8 : num [1:1000] -0.199 -1.006 0.847 -0.679 -0.913 ...
..$ F9 : num [1:1000] -2.257 0.846 -0.486 0.464 0.351 ...
..$ F10 : num [1:1000] -0.4478 1.2109 0.3792 0.3459 0.0146 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -2.238 2.708 0.566 -1.38 1.885 ...
..$ F2 : num [1:1000] -1.942 -1.113 0.113 1.778 0.957 ...
..$ F3 : num [1:1000] 0.831 -1.432 2.869 0.96 -2.596 ...
..$ F4 : num [1:1000] 1.002 0.463 1.809 -2.102 1.615 ...
..$ F5 : num [1:1000] -0.756 0.942 -0.74 -0.183 0.787 ...
..$ F6 : num [1:1000] -0.192 -1.52 -0.171 0.139 -0.143 ...
..$ F7 : num [1:1000] -0.194 0.431 -0.571 1.725 -1.744 ...
..$ F8 : num [1:1000] -0.0926 -1.3925 -1.039 0.0524 -0.9834 ...
..$ F9 : num [1:1000] -0.1404 -0.0777 1.4599 0.0688 -1.4392 ...
..$ F10 : num [1:1000] -1.887 -0.606 0.326 -0.998 0.338 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 2.45 -2.08 1.09 -1.1 2.6 ...
..$ F2 : num [1:1000] 0.413 1.28 1.875 -2.358 0.396 ...
..$ F3 : num [1:1000] 1.719 -0.293 -0.371 -1.296 -1.758 ...
..$ F4 : num [1:1000] -0.913 -1.931 -2.342 0.837 -1.478 ...
..$ F5 : num [1:1000] -1.503 0.144 -0.129 -0.149 0.296 ...
..$ F6 : num [1:1000] -0.0252 0.2425 -1.8064 -1.3725 2.2701 ...
..$ F7 : num [1:1000] -0.8056 -1.0356 0.5719 -0.0838 -1.9643 ...
..$ F8 : num [1:1000] 0.467 -0.595 0.731 -0.545 1.465 ...
..$ F9 : num [1:1000] 0.349 -0.929 1.396 -0.572 -0.868 ...
..$ F10 : num [1:1000] 0.0759 1.6282 0.2745 -1.3162 0.459 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 1.9622 -0.6237 1.8532 -0.8604 0.0933 ...
..$ F2 : num [1:1000] 1.505 -1.829 2.102 0.772 2.924 ...
..$ F3 : num [1:1000] 1.501 1.6858 -1.4191 0.6597 -0.0818 ...
..$ F4 : num [1:1000] 1.118 -2.554 -0.129 -2.796 -0.877 ...
..$ F5 : num [1:1000] -1.341 1.112 -0.855 -0.443 -0.415 ...
..$ F6 : num [1:1000] -0.302 0.919 0.541 0.623 0.601 ...
..$ F7 : num [1:1000] 0.1297 -0.4495 0.1931 -0.0704 0.2514 ...
..$ F8 : num [1:1000] -0.14 -1.281 0.399 -0.423 0.779 ...
..$ F9 : num [1:1000] 0.286 -2.194 0.903 -0.915 -0.753 ...
..$ F10 : num [1:1000] -2.147 0.62 0.115 -0.752 -1.391 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 2.519 2.129 -2.83 -0.855 0.433 ...
..$ F2 : num [1:1000] 0.613 2.007 1.309 -1.915 -1.042 ...
..$ F3 : num [1:1000] 2.668 -0.323 -0.135 -1.705 2.277 ...
..$ F4 : num [1:1000] -0.0767 -1.6699 0.7198 -2.4455 1.8224 ...
..$ F5 : num [1:1000] 0.304 -1.181 0.651 -1.013 -2.08 ...
..$ F6 : num [1:1000] -1.0547 1.2287 -2.7052 -0.0848 0.8164 ...
..$ F7 : num [1:1000] 0.861 -0.455 0.215 1.198 0.242 ...
..$ F8 : num [1:1000] 0.4189 -0.3301 0.8328 -0.0543 1.273 ...
..$ F9 : num [1:1000] 0.749 1.429 1.486 -1.66 -0.758 ...
..$ F10 : num [1:1000] -0.841 0.766 1.602 -1.347 -0.11 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 0.482 -2.977 -1.327 2.498 -0.435 ...
..$ F2 : num [1:1000] -1.114 0.714 -1.075 -1.332 1.799 ...
..$ F3 : num [1:1000] -2.92 -1.08 -1.96 -1.03 1.18 ...
..$ F4 : num [1:1000] -1.192 -0.577 -1.697 -0.391 -3.098 ...
..$ F5 : num [1:1000] 2.157 1.019 -2.695 0.788 -0.802 ...
..$ F6 : num [1:1000] -0.7088 -0.0014 -0.6978 -0.436 2.923 ...
..$ F7 : num [1:1000] 0.358 -0.629 -0.725 0.514 0.819 ...
..$ F8 : num [1:1000] 0.772 -0.123 0.829 2.232 0.742 ...
..$ F9 : num [1:1000] -0.2027 -0.7848 0.3898 1.6565 0.0476 ...
..$ F10 : num [1:1000] 0.285837 0.604712 0.000953 0.699307 0.303441 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -0.542 2.9341 0.0527 -1.6929 2.1766 ...
..$ F2 : num [1:1000] -0.828 0.899 -2.272 2.784 1.08 ...
..$ F3 : num [1:1000] -0.265 -0.773 -1.126 0.337 -1.355 ...
..$ F4 : num [1:1000] -3.36 1.74 1.86 1.94 1.45 ...
..$ F5 : num [1:1000] 0.0918 0.2292 -1.2757 0.9324 -1.5575 ...
..$ F6 : num [1:1000] 0.872 1.802 -0.682 -0.108 -0.386 ...
..$ F7 : num [1:1000] 0.438 0.262 -1.417 -1.238 0.915 ...
..$ F8 : num [1:1000] 0.334 -0.637 0.812 -1.734 -0.744 ...
..$ F9 : num [1:1000] -0.676 0.983 0.343 -0.304 -0.664 ...
..$ F10 : num [1:1000] 0.237 -0.342 -2.403 -0.317 0.877 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 1.347 1.631 -0.85 -2.471 -0.825 ...
..$ F2 : num [1:1000] -2.397 0.655 1.396 -1.505 1.506 ...
..$ F3 : num [1:1000] -1.59 2.6 2.64 -1.67 -1.09 ...
..$ F4 : num [1:1000] 1.084 1.121 -0.742 0.273 2.368 ...
..$ F5 : num [1:1000] -0.223 1.621 -0.157 1.286 -1.043 ...
..$ F6 : num [1:1000] -0.389 0.542 -1.078 1.902 -0.165 ...
..$ F7 : num [1:1000] -1.084 -0.556 -1.327 -1.189 0.242 ...
..$ F8 : num [1:1000] -0.243478 -0.522436 1.15311 -0.402088 0.000277 ...
..$ F9 : num [1:1000] -0.0342 0.2255 0.6677 -0.1011 -1.108 ...
..$ F10 : num [1:1000] -0.037 -0.9081 1.8274 -0.3577 0.0674 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -1.1313 -1.0915 -2.1267 -0.5386 0.0393 ...
..$ F2 : num [1:1000] -0.4943 -2.3778 -1.4423 -2.3803 0.0238 ...
..$ F3 : num [1:1000] -2.827 -0.304 1.311 -1.105 -3.248 ...
..$ F4 : num [1:1000] 2.04 -1.73 -1.37 1.84 1.16 ...
..$ F5 : num [1:1000] -1.494 -0.697 -1.3 1.41 -1.683 ...
..$ F6 : num [1:1000] -0.745 -0.528 0.654 -0.658 -0.235 ...
..$ F7 : num [1:1000] -0.591 0.45 0.116 -0.946 -1.159 ...
..$ F8 : num [1:1000] -0.194 -1.549 0.194 0.908 -1.895 ...
..$ F9 : num [1:1000] 0.844 -1.641 -0.22 -0.642 0.241 ...
..$ F10 : num [1:1000] 0.545 0.652 -1.345 -2.367 0.489 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 0.723 1.458 1.339 -1.467 -1.143 ...
..$ F2 : num [1:1000] 2.292 -2.406 1.017 -2.669 -0.241 ...
..$ F3 : num [1:1000] -0.591 -1.424 2.68 0.87 1.945 ...
..$ F4 : num [1:1000] -1.714 0.662 -0.408 -1.222 2.634 ...
..$ F5 : num [1:1000] -0.334 -0.603 0.865 1.893 0.176 ...
..$ F6 : num [1:1000] -0.311 0.493 -0.669 -0.641 0.321 ...
..$ F7 : num [1:1000] 0.137 -0.44 -0.503 -0.323 -0.374 ...
..$ F8 : num [1:1000] -1.3936 0.6716 0.6686 0.0547 -1.7846 ...
..$ F9 : num [1:1000] -0.741 1.112 -0.579 -1.434 0.248 ...
..$ F10 : num [1:1000] 0.407 -0.617 -0.469 1.338 2.209 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -0.81 -1.6 3.23 1.55 1.03 ...
..$ F2 : num [1:1000] 2.955 -1.602 -0.931 -0.904 0.851 ...
..$ F3 : num [1:1000] 0.208 -1.208 -0.945 -1.537 -0.916 ...
..$ F4 : num [1:1000] 1.16 -2.39 -1.63 -2 2.6 ...
..$ F5 : num [1:1000] -1.0751 0.0957 0.5813 0.9153 -0.3757 ...
..$ F6 : num [1:1000] -1.08 1.06 -1.04 -1.16 -1.27 ...
..$ F7 : num [1:1000] 0.31 -1.127 0.344 -1.672 0.393 ...
..$ F8 : num [1:1000] 0.5568 -0.6005 0.6694 1.7578 -0.0587 ...
..$ F9 : num [1:1000] -0.68835 -1.07382 1.37632 -0.16078 0.00593 ...
..$ F10 : num [1:1000] 0.2194 -0.7412 -0.1397 -0.5523 0.0304 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 2.3115 -0.9809 -0.6911 0.0549 -1.5124 ...
..$ F2 : num [1:1000] -0.288 -2.883 2.137 2.561 1.528 ...
..$ F3 : num [1:1000] 1.148 1.14 0.714 1.299 0.313 ...
..$ F4 : num [1:1000] -2.035 -0.125 2.523 1.991 2.237 ...
..$ F5 : num [1:1000] -0.605 -0.584 -2.274 1.255 -0.493 ...
..$ F6 : num [1:1000] 0.0867 2.111 -0.8523 0.2644 -2.1034 ...
..$ F7 : num [1:1000] -1.353 1.48 1.143 1.878 -0.501 ...
..$ F8 : num [1:1000] -2.07 1.32 0.18 -0.21 -1.64 ...
..$ F9 : num [1:1000] 0.637 -0.735 0.303 -0.198 0.717 ...
..$ F10 : num [1:1000] -0.916269 -1.156638 1.986284 0.000647 0.645469 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 0.331 2.312 -1.16 -2.945 0.443 ...
..$ F2 : num [1:1000] -1.35 1.62 1.03 1.03 1.91 ...
..$ F3 : num [1:1000] 3.101 1.1 -0.425 -0.201 -2.286 ...
..$ F4 : num [1:1000] 0.481 -0.501 2.823 -1.026 0.524 ...
..$ F5 : num [1:1000] 0.736 -1.365 -0.769 -0.276 -0.581 ...
..$ F6 : num [1:1000] -0.369 0.534 0.234 -0.14 -0.248 ...
..$ F7 : num [1:1000] -0.245 -0.224 1.022 1.065 1.437 ...
..$ F8 : num [1:1000] 1.135 0.123 1.086 -0.526 -0.416 ...
..$ F9 : num [1:1000] 0.848 0.146 -0.601 1.004 -0.603 ...
..$ F10 : num [1:1000] -0.6462 -0.0191 0.3305 1.2977 0.1173 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 2.971 -0.47 -3.328 0.788 0.958 ...
..$ F2 : num [1:1000] -0.109 2.601 -0.415 1.079 2.7 ...
..$ F3 : num [1:1000] 0.515 0.897 1.904 0.441 -1.569 ...
..$ F4 : num [1:1000] -0.8476 -1.3422 0.0484 -2.7189 0.7047 ...
..$ F5 : num [1:1000] -0.42 -0.359 -0.666 0.361 0.124 ...
..$ F6 : num [1:1000] -2.378 -0.944 -0.315 0.916 -0.111 ...
..$ F7 : num [1:1000] 1.489 0.419 0.558 -1.307 -0.561 ...
..$ F8 : num [1:1000] -0.24 2.029 -0.132 1.404 1.853 ...
..$ F9 : num [1:1000] 0.207 -1.111 0.933 -2.625 -0.968 ...
..$ F10 : num [1:1000] 0.9192 0.0889 0.3397 -0.1583 0.5777 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 2.178 -0.676 1.601 1.018 0.348 ...
..$ F2 : num [1:1000] -2.175 -1.649 1.371 0.359 0.576 ...
..$ F3 : num [1:1000] 1.4437 2.568 0.0225 0.339 -1.7539 ...
..$ F4 : num [1:1000] 0.135 -1.158 2.674 -2.816 2.824 ...
..$ F5 : num [1:1000] -1.2567 -0.0582 -0.1911 -0.8107 1.4737 ...
..$ F6 : num [1:1000] -0.747 -0.436 0.302 -1.046 1.881 ...
..$ F7 : num [1:1000] 0.225 -1.276 -1.229 -0.322 -0.264 ...
..$ F8 : num [1:1000] 0.442 -1.422 -1.473 -0.292 -0.41 ...
..$ F9 : num [1:1000] -0.83 0.146 -0.387 -0.615 1.053 ...
..$ F10 : num [1:1000] -0.795 -0.51 0.769 0.536 1.96 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] -1.4643 1.9587 0.0347 1.3349 0.945 ...
..$ F2 : num [1:1000] -0.119 0.6149 -0.0136 1.9004 3.0862 ...
..$ F3 : num [1:1000] -1.391 -2.019 2.474 1.295 0.102 ...
..$ F4 : num [1:1000] 2.275 -0.855 -1.781 -2.06 -1.607 ...
..$ F5 : num [1:1000] -0.2862 -0.0698 -0.7518 1.2499 -0.2032 ...
..$ F6 : num [1:1000] 0.61 0.359 -0.822 -0.763 1.655 ...
..$ F7 : num [1:1000] -0.1185 0.9841 0.8009 0.0775 1.4287 ...
..$ F8 : num [1:1000] -1.468 0.113 -0.279 0.805 0.291 ...
..$ F9 : num [1:1000] -1.762 0.355 0.367 0.389 0.627 ...
..$ F10 : num [1:1000] -0.89 -1.368 -1.573 0.422 1.786 ...
..$ 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 12 variables:
..$ class: int [1:1000] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
..$ F1 : num [1:1000] 1.806 0.858 -2.068 -1.236 0.769 ...
..$ F2 : num [1:1000] 1.73 -0.626 2.325 -2.021 1.688 ...
..$ F3 : num [1:1000] 1.59 -1.98 -1.52 -1.46 -2.55 ...
..$ F4 : num [1:1000] 2.074 2.299 0.468 -1.138 -1.172 ...
..$ F5 : num [1:1000] -0.323 -0.946 0.244 -2.082 1.101 ...
..$ F6 : num [1:1000] 0.8481 1.4575 -0.3528 -0.0264 0.6275 ...
..$ F7 : num [1:1000] -1.3015 0.1752 0.2513 -0.0623 -1.5353 ...
..$ F8 : num [1:1000] -1.3665 0.54 -1.1536 -0.0245 -0.0206 ...
..$ F9 : num [1:1000] -0.1979 -1.2556 -0.8346 -0.0437 0.24 ...
..$ F10 : num [1:1000] -0.3107 -1.9501 -0.26 1.5904 0.0366 ...
..$ f : Factor w/ 50 levels "1","2","3","4",..: 50 50 50 50 50 50 50 50 50 50 ...
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