| | | *The author of this computation has been verified* | | R Software Module: /rwasp_regression_trees1.wasp (opens new window with default values) | | Title produced by software: Recursive Partitioning (Regression Trees) | | Date of computation: Wed, 22 Dec 2010 16:47:45 +0000 | | | | Cite this page as follows: | | Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2010/Dec/22/t1293036335a0asu3frhyri27a.htm/, Retrieved Wed, 22 Dec 2010 17:45:35 +0100 | | | | BibTeX entries for LaTeX users: | @Manual{KEY,
author = {{YOUR NAME}},
publisher = {Office for Research Development and Education},
title = {Statistical Computations at FreeStatistics.org, URL http://www.freestatistics.org/blog/date/2010/Dec/22/t1293036335a0asu3frhyri27a.htm/},
year = {2010},
}
@Manual{R,
title = {R: A Language and Environment for Statistical Computing},
author = {{R Development Core Team}},
organization = {R Foundation for Statistical Computing},
address = {Vienna, Austria},
year = {2010},
note = {{ISBN} 3-900051-07-0},
url = {http://www.R-project.org},
}
| | | | Original text written by user: | | | | | IsPrivate? | | No (this computation is public) | | | | User-defined keywords: | | | | | Dataseries X: | | » Textbox « » Textfile « » CSV « | | 3.567 2.217 1.061
3.536 2.176 1.041
3.538 2.146 1.021
3.638 2.297 1.000
3.635 2.332 0.929
3.646 2.352 1.000
3.552 2.230 1.000
3.557 2.204 0.903
3.489 2.352 1.000
3.375 1.978 1.176
3.443 1.987 1.190
3.264 1.663 1.312
3.427 1.940 1.243
3.376 1.978 1.243
3.349 2.053 1.097
3.664 2.332 1.146
3.641 2.301 1.176
3.675 2.286 1.267
3.328 1.944 1.161
3.348 1.978 1.146
3.522 2.000 1.190
3.517 2.000 1.190
3.624 2.217 1.079
3.612 2.176 1.114
3.676 2.230 1.079
3.711 2.243 1.079
3.382 1.857 1.279
3.516 2.000 1.176
3.346 1.934 1.146
3.327 1.954 1.146
3.315 1.881 1.161
3.249 1.813 1.279
3.263 1.778 1.279
3.291 1.845 1.312
3.328 1.903 1.230
3.348 1.934 1.217
3.631 2.217 1.079
3.616 2.176 1.130
3.616 2.185 1.114
3.666 2.318 1.041
3.653 2.190 1.130
3.646 2.279 1.097
3.367 1.987 1.130
3.613 2.114 1.146
3.633 2.146 1.204
3.467 2.049 1.161
3.400 1.881 1.255
3.379 1.934 1.204
3.399 1.987 1. etc... | | | | Output produced by software: | Enter (or paste) a matrix (table) containing all data (time) series. Every column represents a different variable and must be delimited by a space or Tab. Every row represents a period in time (or category) and must be delimited by hard returns. The easiest way to enter data is to copy and paste a block of spreadsheet cells. Please, do not use commas or spaces to seperate groups of digits!
| Goodness of Fit | | Correlation | 0.8401 | | R-squared | 0.7057 | | RMSE | 0.042 |
| Actuals, Predictions, and Residuals | | # | Actuals | Forecasts | Residuals | | 1 | 1.061 | 1.04656521739130 | 0.0144347826086957 | | 2 | 1.041 | 1.07995454545455 | -0.0389545454545455 | | 3 | 1.021 | 1.07995454545455 | -0.0589545454545455 | | 4 | 1 | 0.979444444444444 | 0.0205555555555555 | | 5 | 0.929 | 0.979444444444444 | -0.0504444444444444 | | 6 | 1 | 1.09741176470588 | -0.0974117647058823 | | 7 | 1 | 1.04656521739130 | -0.0465652173913043 | | 8 | 0.903 | 1.04656521739130 | -0.143565217391304 | | 9 | 1 | 0.979444444444444 | 0.0205555555555555 | | 10 | 1.176 | 1.18881818181818 | -0.0128181818181818 | | 11 | 1.19 | 1.18991666666667 | 8.33333333332131e-05 | | 12 | 1.312 | 1.32894444444444 | -0.0169444444444444 | | 13 | 1.243 | 1.21051470588235 | 0.0324852941176472 | | 14 | 1.243 | 1.18881818181818 | 0.0541818181818183 | | 15 | 1.097 | 1.12896 | -0.03196 | | 16 | 1.146 | 1.09741176470588 | 0.0485882352941176 | | 17 | 1.176 | 1.09741176470588 | 0.0785882352941176 | | 18 | 1.267 | 1.09741176470588 | 0.169588235294118 | | 19 | 1.161 | 1.21051470588235 | -0.0495147058823528 | | 20 | 1.146 | 1.18881818181818 | -0.0428181818181819 | | 21 | 1.19 | 1.19414285714286 | -0.00414285714285723 | | 22 | 1.19 | 1.19414285714286 | -0.00414285714285723 | | 23 | 1.079 | 1.04656521739130 | 0.0324347826086957 | | 24 | 1.114 | 1.12152 | -0.00751999999999997 | | 25 | 1.079 | 1.09741176470588 | -0.0184117647058823 | | 26 | 1.079 | 1.09741176470588 | -0.0184117647058823 | | 27 | 1.279 | 1.21051470588235 | 0.068485294117647 | | 28 | 1.176 | 1.19414285714286 | -0.0181428571428572 | | 29 | 1.146 | 1.21051470588235 | -0.064514705882353 | | 30 | 1.146 | 1.18881818181818 | -0.0428181818181819 | | 31 | 1.161 | 1.21051470588235 | -0.0495147058823528 | | 32 | 1.279 | 1.21051470588235 | 0.068485294117647 | | 33 | 1.279 | 1.2425 | 0.0365 | | 34 | 1.312 | 1.21051470588235 | 0.101485294117647 | | 35 | 1.23 | 1.21051470588235 | 0.0194852941176471 | | 36 | 1.217 | 1.21051470588235 | 0.0064852941176472 | | 37 | 1.079 | 1.04656521739130 | 0.0324347826086957 | | 38 | 1.13 | 1.12152 | 0.00847999999999982 | | 39 | 1.114 | 1.12152 | -0.00751999999999997 | | 40 | 1.041 | 1.09741176470588 | -0.0564117647058824 | | 41 | 1.13 | 1.14836363636364 | -0.0183636363636364 | | 42 | 1.097 | 1.09741176470588 | -0.000411764705882334 | | 43 | 1.13 | 1.16553333333333 | -0.0355333333333334 | | 44 | 1.146 | 1.16803571428571 | -0.0220357142857144 | | 45 | 1.204 | 1.16803571428571 | 0.0359642857142857 | | 46 | 1.161 | 1.18991666666667 | -0.0289166666666667 | | 47 | 1.255 | 1.21051470588235 | 0.044485294117647 | | 48 | 1.204 | 1.21051470588235 | -0.00651470588235292 | | 49 | 1.161 | 1.16553333333333 | -0.00453333333333328 | | 50 | 1.176 | 1.21051470588235 | -0.0345147058823529 | | 51 | 1.114 | 1.04656521739130 | 0.0674347826086958 | | 52 | 1.061 | 1.07995454545455 | -0.0189545454545454 | | 53 | 1.161 | 1.16803571428571 | -0.00703571428571426 | | 54 | 1.097 | 1.07995454545455 | 0.0170454545454546 | | 55 | 1.079 | 1.14836363636364 | -0.0693636363636363 | | 56 | 1.114 | 1.14836363636364 | -0.0343636363636362 | | 57 | 1.041 | 1.09741176470588 | -0.0564117647058824 | | 58 | 1.041 | 1.09741176470588 | -0.0564117647058824 | | 59 | 1.217 | 1.19414285714286 | 0.0228571428571429 | | 60 | 1.255 | 1.19414285714286 | 0.0608571428571427 | | 61 | 1.217 | 1.24097368421053 | -0.0239736842105263 | | 62 | 1.204 | 1.18881818181818 | 0.0151818181818182 | | 63 | 1.146 | 1.14836363636364 | -0.00236363636363635 | | 64 | 1.097 | 1.09741176470588 | -0.000411764705882334 | | 65 | 1.176 | 1.18991666666667 | -0.0139166666666668 | | 66 | 1.29 | 1.21051470588235 | 0.0794852941176472 | | 67 | 1.217 | 1.18881818181818 | 0.0281818181818183 | | 68 | 1.267 | 1.21051470588235 | 0.056485294117647 | | 69 | 1.146 | 1.13376923076923 | 0.0122307692307690 | | 70 | 1.114 | 1.12152 | -0.00751999999999997 | | 71 | 0.978 | 0.979444444444444 | -0.00144444444444447 | | 72 | 1.19 | 1.21051470588235 | -0.0205147058823529 | | 73 | 1.146 | 1.18881818181818 | -0.0428181818181819 | | 74 | 1.041 | 1.07995454545455 | -0.0389545454545455 | | 75 | 1.146 | 1.13376923076923 | 0.0122307692307690 | | 76 | 1.041 | 1.04656521739130 | -0.00556521739130433 | | 77 | 1.217 | 1.24097368421053 | -0.0239736842105263 | | 78 | 1.204 | 1.18991666666667 | 0.0140833333333332 | | 79 | 1.217 | 1.21051470588235 | 0.0064852941176472 | | 80 | 1.322 | 1.21051470588235 | 0.111485294117647 | | 81 | 1.23 | 1.25714285714286 | -0.0271428571428571 | | 82 | 1.255 | 1.25714285714286 | -0.00214285714285722 | | 83 | 1.146 | 1.16803571428571 | -0.0220357142857144 | | 84 | 1.161 | 1.14836363636364 | 0.0126363636363638 | | 85 | 1.204 | 1.16803571428571 | 0.0359642857142857 | | 86 | 1.19 | 1.14836363636364 | 0.0416363636363637 | | 87 | 1.19 | 1.21051470588235 | -0.0205147058823529 | | 88 | 1.161 | 1.21051470588235 | -0.0495147058823528 | | 89 | 1.279 | 1.32894444444444 | -0.0499444444444446 | | 90 | 1.161 | 1.21051470588235 | -0.0495147058823528 | | 91 | 1.146 | 1.21051470588235 | -0.064514705882353 | | 92 | 1.176 | 1.16553333333333 | 0.0104666666666666 | | 93 | 1.204 | 1.21051470588235 | -0.00651470588235292 | | 94 | 1.204 | 1.24097368421053 | -0.0369736842105264 | | 95 | 1.29 | 1.32169230769231 | -0.0316923076923077 | | 96 | 1.061 | 1.09741176470588 | -0.0364117647058824 | | 97 | 1.146 | 1.14836363636364 | -0.00236363636363635 | | 98 | 1.13 | 1.14836363636364 | -0.0183636363636364 | | 99 | 1.322 | 1.25714285714286 | 0.064857142857143 | | 100 | 1.279 | 1.25714285714286 | 0.0218571428571428 | | 101 | 1.279 | 1.25714285714286 | 0.0218571428571428 | | 102 | 1.13 | 1.19414285714286 | -0.0641428571428573 | | 103 | 1.079 | 1.12896 | -0.04996 | | 104 | 1.23 | 1.21051470588235 | 0.0194852941176471 | | 105 | 1.204 | 1.18991666666667 | 0.0140833333333332 | | 106 | 1.13 | 1.16553333333333 | -0.0355333333333334 | | 107 | 1.217 | 1.21051470588235 | 0.0064852941176472 | | 108 | 1.161 | 1.19414285714286 | -0.0331428571428571 | | 109 | 1.176 | 1.18881818181818 | -0.0128181818181818 | | 110 | 1.23 | 1.24097368421053 | -0.0109736842105264 | | 111 | 1.13 | 1.12896 | 0.00103999999999993 | | 112 | 1.243 | 1.2425 | 0.000500000000000167 | | 113 | 1.228 | 1.21051470588235 | 0.0174852941176471 | | 114 | 1.173 | 1.18881818181818 | -0.0158181818181817 | | 115 | 1.185 | 1.21051470588235 | -0.0255147058823528 | | 116 | 1.114 | 1.16803571428571 | -0.0540357142857142 | | 117 | 1.143 | 1.16803571428571 | -0.0250357142857143 | | 118 | 1.107 | 1.12152 | -0.0145200000000001 | | 119 | 1.161 | 1.19414285714286 | -0.0331428571428571 | | 120 | 1.246 | 1.24097368421053 | 0.00502631578947366 | | 121 | 1.346 | 1.32894444444444 | 0.0170555555555556 | | 122 | 1.344 | 1.32894444444444 | 0.0150555555555556 | | 123 | 1.248 | 1.25714285714286 | -0.00914285714285712 | | 124 | 1.21 | 1.25714285714286 | -0.0471428571428572 | | 125 | 1.25 | 1.24097368421053 | 0.00902631578947366 | | 126 | 1.23 | 1.21051470588235 | 0.0194852941176471 | | 127 | 1.215 | 1.21051470588235 | 0.0044852941176472 | | 128 | 1.196 | 1.19414285714286 | 0.00185714285714278 | | 129 | 1.121 | 1.12152 | -0.000520000000000076 | | 130 | 1.223 | 1.16803571428571 | 0.0549642857142858 | | 131 | 1.083 | 1.09741176470588 | -0.0144117647058823 | | 132 | 1.176 | 1.16803571428571 | 0.00796428571428565 | | 133 | 1.146 | 1.07995454545455 | 0.0660454545454545 | | 134 | 1.17 | 1.21051470588235 | -0.0405147058823530 | | 135 | 1.27 | 1.2425 | 0.0275000000000001 | | 136 | 1.225 | 1.21051470588235 | 0.0144852941176472 | | 137 | 1.097 | 1.12152 | -0.0245200000000001 | | 138 | 1.137 | 1.12152 | 0.0154799999999999 | | 139 | 1.228 | 1.25714285714286 | -0.0291428571428571 | | 140 | 1.248 | 1.25714285714286 | -0.00914285714285712 | | 141 | 1.045 | 1.04656521739130 | -0.00156521739130433 | | 142 | 1.057 | 1.04656521739130 | 0.0104347826086957 | | 143 | 1.161 | 1.14836363636364 | 0.0126363636363638 | | 144 | 1.161 | 1.21051470588235 | -0.0495147058823528 | | 145 | 1.26 | 1.21051470588235 | 0.0494852941176471 | | 146 | 1.199 | 1.21051470588235 | -0.0115147058823528 | | 147 | 1.201 | 1.21051470588235 | -0.00951470588235281 | | 148 | 1.215 | 1.21051470588235 | 0.0044852941176472 | | 149 | 1.161 | 1.18991666666667 | -0.0289166666666667 | | 150 | 1.107 | 1.13376923076923 | -0.0267692307692309 | | 151 | 1.332 | 1.32894444444444 | 0.00305555555555559 | | 152 | 1.158 | 1.21051470588235 | -0.052514705882353 | | 153 | 1.27 | 1.21051470588235 | 0.0594852941176471 | | 154 | 1.121 | 1.07995454545455 | 0.0410454545454546 | | 155 | 1.107 | 1.07995454545455 | 0.0270454545454546 | | 156 | 1.26 | 1.24097368421053 | 0.0190263157894737 | | 157 | 1.199 | 1.24097368421053 | -0.0419736842105263 | | 158 | 1.236 | 1.25714285714286 | -0.0211428571428571 | | 159 | 1.236 | 1.24097368421053 | -0.00497368421052635 | | 160 | 1.223 | 1.24097368421053 | -0.0179736842105263 | | 161 | 1.272 | 1.25714285714286 | 0.0148571428571429 | | 162 | 1.121 | 1.07995454545455 | 0.0410454545454546 | | 163 | 1.127 | 1.04656521739130 | 0.0804347826086957 | | 164 | 1.137 | 1.16803571428571 | -0.0310357142857143 | | 165 | 1.217 | 1.21051470588235 | 0.0064852941176472 | | 166 | 1.167 | 1.16553333333333 | 0.00146666666666673 | | 167 | 1.161 | 1.21051470588235 | -0.0495147058823528 | | 168 | 1.246 | 1.21051470588235 | 0.0354852941176471 | | 169 | 1.201 | 1.18991666666667 | 0.0110833333333333 | | 170 | 1.134 | 1.12896 | 0.00503999999999993 | | 171 | 1.199 | 1.12896 | 0.0700400000000001 | | 172 | 1.173 | 1.21051470588235 | -0.0375147058823528 | | 173 | 1.22 | 1.21051470588235 | 0.0094852941176471 | | 174 | 1.26 | 1.24097368421053 | 0.0190263157894737 | | 175 | 1.238 | 1.21051470588235 | 0.0274852941176471 | | 176 | 1.22 | 1.19414285714286 | 0.0258571428571428 | | 177 | 1.188 | 1.16803571428571 | 0.0199642857142857 | | 178 | 1.121 | 1.16803571428571 | -0.0470357142857143 | | 179 | 1.182 | 1.16803571428571 | 0.0139642857142857 | | 180 | 1.155 | 1.12152 | 0.0334800000000000 | | 181 | 1.176 | 1.12896 | 0.04704 | | 182 | 1.146 | 1.21051470588235 | -0.064514705882353 | | 183 | 1.182 | 1.21051470588235 | -0.0285147058823529 | | 184 | 1.176 | 1.21051470588235 | -0.0345147058823529 | | 185 | 1.394 | 1.32169230769231 | 0.0723076923076922 | | 186 | 1.346 | 1.25714285714286 | 0.088857142857143 | | 187 | 1.173 | 1.21051470588235 | -0.0375147058823528 | | 188 | 1.283 | 1.21051470588235 | 0.072485294117647 | | 189 | 1.204 | 1.18881818181818 | 0.0151818181818182 | | 190 | 1.053 | 1.12896 | -0.07596 | | 191 | 1.121 | 1.18881818181818 | -0.0678181818181818 | | 192 | 1.167 | 1.21051470588235 | -0.0435147058823528 | | 193 | 1.19 | 1.21051470588235 | -0.0205147058823529 | | 194 | 1.215 | 1.21051470588235 | 0.0044852941176472 | | 195 | 1.258 | 1.21051470588235 | 0.0474852941176471 | | 196 | 1.303 | 1.24097368421053 | 0.0620263157894736 | | 197 | 1.199 | 1.21051470588235 | -0.0115147058823528 | | 198 | 1.19 | 1.18881818181818 | 0.00118181818181817 | | 199 | 1.176 | 1.18881818181818 | -0.0128181818181818 | | 200 | 1.182 | 1.21051470588235 | -0.0285147058823529 | | 201 | 1.158 | 1.18991666666667 | -0.0319166666666668 | | 202 | 1.283 | 1.21051470588235 | 0.072485294117647 | | 203 | 1.299 | 1.32169230769231 | -0.0226923076923078 | | 204 | 1.14 | 1.21051470588235 | -0.070514705882353 | | 205 | 1.185 | 1.21051470588235 | -0.0255147058823528 | | 206 | 1.179 | 1.21051470588235 | -0.0315147058823528 | | 207 | 1.196 | 1.21051470588235 | -0.0145147058823529 | | 208 | 1.215 | 1.21051470588235 | 0.0044852941176472 | | 209 | 1.1 | 1.13376923076923 | -0.0337692307692308 | | 210 | 1.111 | 1.21051470588235 | -0.0995147058823529 | | 211 | 1.215 | 1.21051470588235 | 0.0044852941176472 | | 212 | 1.207 | 1.2425 | -0.0354999999999999 | | 213 | 1.288 | 1.21051470588235 | 0.0774852941176472 | | 214 | 1.238 | 1.21051470588235 | 0.0274852941176471 | | 215 | 1.173 | 1.21051470588235 | -0.0375147058823528 | | 216 | 1.21 | 1.21051470588235 | -0.000514705882352917 | | 217 | 1.152 | 1.21051470588235 | -0.058514705882353 | | 218 | 1.17 | 1.13376923076923 | 0.0362307692307691 | | 219 | 1.31 | 1.32169230769231 | -0.0116923076923077 | | 220 | 1.14 | 1.12896 | 0.0110399999999999 | | 221 | 1.199 | 1.19414285714286 | 0.00485714285714289 | | 222 | 1.233 | 1.24097368421053 | -0.00797368421052624 | | 223 | 1.22 | 1.25714285714286 | -0.0371428571428571 | | 224 | 1.27 | 1.21051470588235 | 0.0594852941176471 | | 225 | 1.255 | 1.21051470588235 | 0.044485294117647 | | 226 | 1.204 | 1.21051470588235 | -0.00651470588235292 | | 227 | 1.255 | 1.18881818181818 | 0.0661818181818181 | | 228 | 1.185 | 1.21051470588235 | -0.0255147058823528 | | 229 | 1.246 | 1.21051470588235 | 0.0354852941176471 | | 230 | 1.167 | 1.21051470588235 | -0.0435147058823528 | | 231 | 1.161 | 1.21051470588235 | -0.0495147058823528 | | 232 | 1.161 | 1.21051470588235 | -0.0495147058823528 | | 233 | 1.196 | 1.21051470588235 | -0.0145147058823529 | | 234 | 1.215 | 1.18991666666667 | 0.0250833333333333 | | 235 | 1.23 | 1.24097368421053 | -0.0109736842105264 | | 236 | 1.143 | 1.16553333333333 | -0.0225333333333333 | | 237 | 1.238 | 1.24097368421053 | -0.00297368421052635 | | 238 | 1.193 | 1.21051470588235 | -0.0175147058823528 | | 239 | 1.064 | 1.21051470588235 | -0.146514705882353 | | 240 | 1.27 | 1.21051470588235 | 0.0594852941176471 | | 241 | 1.255 | 1.21051470588235 | 0.044485294117647 | | 242 | 1.23 | 1.2425 | -0.0125000000000000 | | 243 | 1.23 | 1.2425 | -0.0125000000000000 | | 244 | 1.204 | 1.2425 | -0.0385 | | 245 | 1.279 | 1.21051470588235 | 0.068485294117647 | | 246 | 1.255 | 1.2425 | 0.0125000000000000 | | 247 | 1.23 | 1.2425 | -0.0125000000000000 | | 248 | 1.146 | 1.21051470588235 | -0.064514705882353 | | 249 | 1.204 | 1.2425 | -0.0385 | | 250 | 1.079 | 1.21051470588235 | -0.131514705882353 | | 251 | 1.279 | 1.2425 | 0.0365 | | 252 | 1.279 | 1.2425 | 0.0365 | | 253 | 1.322 | 1.32894444444444 | -0.00694444444444442 | | 254 | 1.322 | 1.21051470588235 | 0.111485294117647 | | 255 | 1.176 | 1.21051470588235 | -0.0345147058823529 | | 256 | 1.146 | 1.21051470588235 | -0.064514705882353 | | 257 | 1.301 | 1.32894444444444 | -0.0279444444444445 | | 258 | 1.204 | 1.21051470588235 | -0.00651470588235292 | | 259 | 1.146 | 1.21051470588235 | -0.064514705882353 | | 260 | 1.146 | 1.21051470588235 | -0.064514705882353 | | 261 | 1.146 | 1.21051470588235 | -0.064514705882353 | | 262 | 1.146 | 1.21051470588235 | -0.064514705882353 | | 263 | 1.176 | 1.21051470588235 | -0.0345147058823529 | | 264 | 1.23 | 1.21051470588235 | 0.0194852941176471 | | 265 | 1.322 | 1.32894444444444 | -0.00694444444444442 | | 266 | 1.279 | 1.21051470588235 | 0.068485294117647 | | 267 | 1.322 | 1.21051470588235 | 0.111485294117647 | | 268 | 1.204 | 1.21051470588235 | -0.00651470588235292 | | 269 | 1.176 | 1.21051470588235 | -0.0345147058823529 | | 270 | 1.204 | 1.21051470588235 | -0.00651470588235292 | | 271 | 1.279 | 1.32894444444444 | -0.0499444444444446 | | 272 | 1.255 | 1.21051470588235 | 0.044485294117647 | | 273 | 1.176 | 1.21051470588235 | -0.0345147058823529 | | 274 | 1.279 | 1.21051470588235 | 0.068485294117647 | | 275 | 1.176 | 1.21051470588235 | -0.0345147058823529 | | 276 | 1.342 | 1.32894444444444 | 0.0130555555555556 | | 277 | 1.204 | 1.21051470588235 | -0.00651470588235292 | | 278 | 1.279 | 1.32894444444444 | -0.0499444444444446 | | 279 | 1.204 | 1.21051470588235 | -0.00651470588235292 | | 280 | 1.176 | 1.21051470588235 | -0.0345147058823529 | | 281 | 1.23 | 1.21051470588235 | 0.0194852941176471 | | 282 | 1.204 | 1.21051470588235 | -0.00651470588235292 | | 283 | 1.204 | 1.21051470588235 | -0.00651470588235292 | | 284 | 1.279 | 1.32894444444444 | -0.0499444444444446 | | 285 | 1.204 | 1.21051470588235 | -0.00651470588235292 | | 286 | 1.279 | 1.21051470588235 | 0.068485294117647 | | 287 | 1.255 | 1.21051470588235 | 0.044485294117647 | | 288 | 1.342 | 1.32894444444444 | 0.0130555555555556 | | 289 | 1.204 | 1.21051470588235 | -0.00651470588235292 | | 290 | 1.279 | 1.21051470588235 | 0.068485294117647 | | 291 | 1.23 | 1.21051470588235 | 0.0194852941176471 | | 292 | 1.23 | 1.21051470588235 | 0.0194852941176471 | | 293 | 1.176 | 1.21051470588235 | -0.0345147058823529 | | 294 | 1.255 | 1.21051470588235 | 0.044485294117647 | | 295 | 1.279 | 1.21051470588235 | 0.068485294117647 | | 296 | 1.301 | 1.21051470588235 | 0.090485294117647 | | 297 | 1.204 | 1.21051470588235 | -0.00651470588235292 | | 298 | 1.342 | 1.32894444444444 | 0.0130555555555556 | | 299 | 1.23 | 1.21051470588235 | 0.0194852941176471 | | 300 | 1.204 | 1.21051470588235 | -0.00651470588235292 | | 301 | 1.255 | 1.21051470588235 | 0.044485294117647 | | 302 | 1.279 | 1.21051470588235 | 0.068485294117647 | | 303 | 1.204 | 1.21051470588235 | -0.00651470588235292 | | 304 | 1.146 | 1.18881818181818 | -0.0428181818181819 | | 305 | 1.146 | 1.18881818181818 | -0.0428181818181819 | | 306 | 1.176 | 1.21051470588235 | -0.0345147058823529 | | 307 | 1.176 | 1.21051470588235 | -0.0345147058823529 | | 308 | 1.23 | 1.21051470588235 | 0.0194852941176471 | | 309 | 1.23 | 1.21051470588235 | 0.0194852941176471 | | 310 | 1.176 | 1.21051470588235 | -0.0345147058823529 | | 311 | 1.398 | 1.32894444444444 | 0.0690555555555554 | | 312 | 1.176 | 1.21051470588235 | -0.0345147058823529 | | 313 | 1.176 | 1.21051470588235 | -0.0345147058823529 | | 314 | 1.23 | 1.21051470588235 | 0.0194852941176471 | | 315 | 1.176 | 1.21051470588235 | -0.0345147058823529 | | 316 | 1.255 | 1.21051470588235 | 0.044485294117647 | | 317 | 1.176 | 1.21051470588235 | -0.0345147058823529 | | 318 | 1.176 | 1.21051470588235 | -0.0345147058823529 | | 319 | 1.23 | 1.21051470588235 | 0.0194852941176471 | | 320 | 1.204 | 1.21051470588235 | -0.00651470588235292 | | 321 | 1.204 | 1.21051470588235 | -0.00651470588235292 | | 322 | 1.176 | 1.21051470588235 | -0.0345147058823529 | | 323 | 1.176 | 1.21051470588235 | -0.0345147058823529 | | 324 | 1.342 | 1.32894444444444 | 0.0130555555555556 | | 325 | 1.204 | 1.21051470588235 | -0.00651470588235292 | | 326 | 1.204 | 1.21051470588235 | -0.00651470588235292 | | 327 | 1.255 | 1.21051470588235 | 0.044485294117647 | | 328 | 1.146 | 1.21051470588235 | -0.064514705882353 | | 329 | 1.146 | 1.21051470588235 | -0.064514705882353 | | 330 | 1.114 | 1.21051470588235 | -0.0965147058823528 | | 331 | 1.176 | 1.21051470588235 | -0.0345147058823529 | | 332 | 1.176 | 1.21051470588235 | -0.0345147058823529 | | 333 | 1.146 | 1.21051470588235 | -0.064514705882353 | | 334 | 1.176 | 1.21051470588235 | -0.0345147058823529 | | 335 | 1.23 | 1.21051470588235 | 0.0194852941176471 | | 336 | 1.146 | 1.21051470588235 | -0.064514705882353 | | 337 | 1.23 | 1.21051470588235 | 0.0194852941176471 | | 338 | 1.23 | 1.21051470588235 | 0.0194852941176471 | | 339 | 1.23 | 1.21051470588235 | 0.0194852941176471 | | 340 | 1.146 | 1.18881818181818 | -0.0428181818181819 | | 341 | 1.176 | 1.21051470588235 | -0.0345147058823529 | | 342 | 1.114 | 1.12896 | -0.0149599999999999 | | 343 | 1.23 | 1.21051470588235 | 0.0194852941176471 | | 344 | 1.146 | 1.21051470588235 | -0.064514705882353 | | 345 | 1.38 | 1.32894444444444 | 0.0510555555555554 | | 346 | 1.255 | 1.21051470588235 | 0.044485294117647 | | 347 | 1.204 | 1.18881818181818 | 0.0151818181818182 | | 348 | 1.204 | 1.18881818181818 | 0.0151818181818182 | | 349 | 1.255 | 1.21051470588235 | 0.044485294117647 | | 350 | 1.176 | 1.21051470588235 | -0.0345147058823529 | | 351 | 1.204 | 1.18881818181818 | 0.0151818181818182 | | 352 | 1.279 | 1.21051470588235 | 0.068485294117647 | | 353 | 1.23 | 1.18881818181818 | 0.0411818181818182 | | 354 | 1.23 | 1.21051470588235 | 0.0194852941176471 | | 355 | 1.079 | 1.21051470588235 | -0.131514705882353 | | 356 | 1.204 | 1.16553333333333 | 0.0384666666666666 | | 357 | 1.176 | 1.21051470588235 | -0.0345147058823529 | | 358 | 1.176 | 1.16553333333333 | 0.0104666666666666 | | 359 | 1.279 | 1.21051470588235 | 0.068485294117647 | | 360 | 1.146 | 1.16553333333333 | -0.0195333333333334 | | 361 | 1.38 | 1.32894444444444 | 0.0510555555555554 | | 362 | 1.23 | 1.21051470588235 | 0.0194852941176471 | | 363 | 1.114 | 1.21051470588235 | -0.0965147058823528 | | 364 | 1.176 | 1.18881818181818 | -0.0128181818181818 | | 365 | 1.255 | 1.18881818181818 | 0.0661818181818181 | | 366 | 1.23 | 1.18881818181818 | 0.0411818181818182 | | 367 | 1.322 | 1.21051470588235 | 0.111485294117647 | | 368 | 1.114 | 1.21051470588235 | -0.0965147058823528 | | 369 | 1.204 | 1.18881818181818 | 0.0151818181818182 | | 370 | 1.204 | 1.21051470588235 | -0.00651470588235292 | | 371 | 1.255 | 1.21051470588235 | 0.044485294117647 | | 372 | 1.301 | 1.21051470588235 | 0.090485294117647 | | 373 | 1.176 | 1.16553333333333 | 0.0104666666666666 | | 374 | 1.279 | 1.21051470588235 | 0.068485294117647 | | 375 | 1.301 | 1.18881818181818 | 0.112181818181818 | | 376 | 1.114 | 1.13376923076923 | -0.0197692307692308 | | 377 | 1.176 | 1.18881818181818 | -0.0128181818181818 | | 378 | 1.176 | 1.18881818181818 | -0.0128181818181818 | | 379 | 1.23 | 1.21051470588235 | 0.0194852941176471 | | 380 | 1.204 | 1.21051470588235 | -0.00651470588235292 | | 381 | 1.146 | 1.13376923076923 | 0.0122307692307690 | | 382 | 1.176 | 1.16553333333333 | 0.0104666666666666 | | 383 | 1.204 | 1.21051470588235 | -0.00651470588235292 | | 384 | 1.176 | 1.21051470588235 | -0.0345147058823529 | | 385 | 1.176 | 1.16553333333333 | 0.0104666666666666 | | 386 | 1.255 | 1.21051470588235 | 0.044485294117647 | | 387 | 1.176 | 1.18881818181818 | -0.0128181818181818 | | 388 | 1.204 | 1.21051470588235 | -0.00651470588235292 | | 389 | 1.23 | 1.21051470588235 | 0.0194852941176471 | | 390 | 1.255 | 1.21051470588235 | 0.044485294117647 | | 391 | 1.23 | 1.16553333333333 | 0.0644666666666667 | | 392 | 1.114 | 1.18881818181818 | -0.0748181818181817 | | 393 | 1.146 | 1.18881818181818 | -0.0428181818181819 | | 394 | 1.146 | 1.21051470588235 | -0.064514705882353 | | 395 | 1.176 | 1.18881818181818 | -0.0128181818181818 | | 396 | 1.204 | 1.21051470588235 | -0.00651470588235292 | | 397 | 1.146 | 1.18881818181818 | -0.0428181818181819 | | 398 | 1.176 | 1.18881818181818 | -0.0128181818181818 | | 399 | 1.204 | 1.21051470588235 | -0.00651470588235292 | | 400 | 1.279 | 1.21051470588235 | 0.068485294117647 | | 401 | 1.041 | 1.12896 | -0.08796 | | 402 | 1.114 | 1.13376923076923 | -0.0197692307692308 | | 403 | 1.301 | 1.21051470588235 | 0.090485294117647 | | 404 | 1.176 | 1.13376923076923 | 0.0422307692307691 | | 405 | 1.146 | 1.18881818181818 | -0.0428181818181819 | | 406 | 1.279 | 1.21051470588235 | 0.068485294117647 | | 407 | 1.114 | 1.13376923076923 | -0.0197692307692308 | | 408 | 1.204 | 1.21051470588235 | -0.00651470588235292 | | 409 | 1.255 | 1.21051470588235 | 0.044485294117647 | | 410 | 1.23 | 1.21051470588235 | 0.0194852941176471 | | 411 | 1.279 | 1.21051470588235 | 0.068485294117647 | | 412 | 1.176 | 1.18881818181818 | -0.0128181818181818 | | 413 | 1.146 | 1.13376923076923 | 0.0122307692307690 | | 414 | 1.146 | 1.16553333333333 | -0.0195333333333334 | | 415 | 1.176 | 1.21051470588235 | -0.0345147058823529 | | 416 | 1.204 | 1.18881818181818 | 0.0151818181818182 | | 417 | 1.146 | 1.12896 | 0.0170399999999999 | | 418 | 1.255 | 1.21051470588235 | 0.044485294117647 | | 419 | 1.23 | 1.18881818181818 | 0.0411818181818182 | | 420 | 1.176 | 1.18881818181818 | -0.0128181818181818 | | 421 | 1.114 | 1.12896 | -0.0149599999999999 | | 422 | 1.146 | 1.16553333333333 | -0.0195333333333334 | | 423 | 1.204 | 1.18881818181818 | 0.0151818181818182 | | 424 | 1.176 | 1.21051470588235 | -0.0345147058823529 | | 425 | 1.279 | 1.21051470588235 | 0.068485294117647 | | 426 | 1.146 | 1.13376923076923 | 0.0122307692307690 | | 427 | 1.114 | 1.13376923076923 | -0.0197692307692308 | | 428 | 1.255 | 1.18881818181818 | 0.0661818181818181 | | 429 | 1.204 | 1.21051470588235 | -0.00651470588235292 | | 430 | 1.23 | 1.18991666666667 | 0.0400833333333332 | | 431 | 1.204 | 1.21051470588235 | -0.00651470588235292 | | 432 | 1.204 | 1.18991666666667 | 0.0140833333333332 | | 433 | 1.176 | 1.18991666666667 | -0.0139166666666668 | | 434 | 1.204 | 1.21051470588235 | -0.00651470588235292 | | 435 | 1.204 | 1.12896 | 0.07504 | | 436 | 1.146 | 1.18991666666667 | -0.0439166666666668 | | 437 | 1.146 | 1.12896 | 0.0170399999999999 | | 438 | 1.176 | 1.18991666666667 | -0.0139166666666668 | | 439 | 1.204 | 1.18991666666667 | 0.0140833333333332 | | 440 | 1.204 | 1.18881818181818 | 0.0151818181818182 | | 441 | 1.176 | 1.18991666666667 | -0.0139166666666668 | | 442 | 1.255 | 1.21051470588235 | 0.044485294117647 | | 443 | 1.204 | 1.18881818181818 | 0.0151818181818182 | | 444 | 1.204 | 1.18991666666667 | 0.0140833333333332 | | 445 | 1.255 | 1.21051470588235 | 0.044485294117647 | | 446 | 1.23 | 1.21051470588235 | 0.0194852941176471 | | 447 | 1.114 | 1.12896 | -0.0149599999999999 | | 448 | 1.204 | 1.18991666666667 | 0.0140833333333332 | | 449 | 1.204 | 1.18881818181818 | 0.0151818181818182 | | 450 | 1.041 | 1.12896 | -0.08796 | | 451 | 1.204 | 1.18991666666667 | 0.0140833333333332 | | 452 | 1.204 | 1.18991666666667 | 0.0140833333333332 | | 453 | 1.146 | 1.12896 | 0.0170399999999999 | | 454 | 1.176 | 1.18991666666667 | -0.0139166666666668 | | 455 | 1.204 | 1.18991666666667 | 0.0140833333333332 | | 456 | 1.204 | 1.18991666666667 | 0.0140833333333332 | | 457 | 1.176 | 1.18991666666667 | -0.0139166666666668 | | 458 | 1.23 | 1.24097368421053 | -0.0109736842105264 | | 459 | 1.301 | 1.32169230769231 | -0.0206923076923078 | | 460 | 1.23 | 1.24097368421053 | -0.0109736842105264 | | 461 | 1.146 | 1.19414285714286 | -0.0481428571428573 | | 462 | 1.204 | 1.24097368421053 | -0.0369736842105264 | | 463 | 1.301 | 1.24097368421053 | 0.0600263157894736 | | 464 | 1.176 | 1.19414285714286 | -0.0181428571428572 | | 465 | 1.255 | 1.24097368421053 | 0.0140263157894736 | | 466 | 1.301 | 1.24097368421053 | 0.0600263157894736 | | 467 | 1.255 | 1.24097368421053 | 0.0140263157894736 | | 468 | 1.23 | 1.24097368421053 | -0.0109736842105264 | | 469 | 1.23 | 1.24097368421053 | -0.0109736842105264 | | 470 | 1.176 | 1.19414285714286 | -0.0181428571428572 | | 471 | 1.23 | 1.24097368421053 | -0.0109736842105264 | | 472 | 1.23 | 1.24097368421053 | -0.0109736842105264 | | 473 | 1.255 | 1.24097368421053 | 0.0140263157894736 | | 474 | 1 | 0.979444444444444 | 0.0205555555555555 | | 475 | 1.23 | 1.24097368421053 | -0.0109736842105264 | | 476 | 1.23 | 1.19414285714286 | 0.0358571428571428 | | 477 | 1.176 | 1.24097368421053 | -0.0649736842105264 | | 478 | 1.146 | 1.12896 | 0.0170399999999999 | | 479 | 1.204 | 1.19414285714286 | 0.00985714285714279 | | 480 | 1.255 | 1.24097368421053 | 0.0140263157894736 | | 481 | 1.301 | 1.32169230769231 | -0.0206923076923078 | | 482 | 1.301 | 1.32169230769231 | -0.0206923076923078 | | 483 | 1.079 | 1.12896 | -0.04996 | | 484 | 1.398 | 1.32169230769231 | 0.0763076923076922 | | 485 | 1.255 | 1.24097368421053 | 0.0140263157894736 | | 486 | 1.041 | 1.07995454545455 | -0.0389545454545455 | | 487 | 1.23 | 1.24097368421053 | -0.0109736842105264 | | 488 | 1.23 | 1.24097368421053 | -0.0109736842105264 | | 489 | 1.146 | 1.19414285714286 | -0.0481428571428573 | | 490 | 1.301 | 1.32169230769231 | -0.0206923076923078 | | 491 | 1.176 | 1.19414285714286 | -0.0181428571428572 | | 492 | 1.176 | 1.12896 | 0.04704 | | 493 | 1.342 | 1.32169230769231 | 0.0203076923076924 | | 494 | 1.204 | 1.24097368421053 | -0.0369736842105264 | | 495 | 1.255 | 1.24097368421053 | 0.0140263157894736 | | 496 | 1.342 | 1.24097368421053 | 0.101026315789474 | | 497 | 1.255 | 1.19414285714286 | 0.0608571428571427 | | 498 | 1.176 | 1.19414285714286 | -0.0181428571428572 | | 499 | 1.204 | 1.19414285714286 | 0.00985714285714279 | | 500 | 1.204 | 1.24097368421053 | -0.0369736842105264 | | 501 | 1.204 | 1.19414285714286 | 0.00985714285714279 | | 502 | 1.23 | 1.19414285714286 | 0.0358571428571428 | | 503 | 1.176 | 1.19414285714286 | -0.0181428571428572 | | 504 | 1.23 | 1.19414285714286 | 0.0358571428571428 | | 505 | 1.204 | 1.19414285714286 | 0.00985714285714279 | | 506 | 1.204 | 1.19414285714286 | 0.00985714285714279 | | 507 | 1.279 | 1.24097368421053 | 0.0380263157894736 | | 508 | 1.041 | 1.07995454545455 | -0.0389545454545455 | | 509 | 1.176 | 1.12896 | 0.04704 | | 510 | 1.204 | 1.12896 | 0.07504 | | 511 | 1.204 | 1.19414285714286 | 0.00985714285714279 | | 512 | 1.342 | 1.25714285714286 | 0.084857142857143 | | 513 | 1.23 | 1.25714285714286 | -0.0271428571428571 | | 514 | 1.114 | 1.07995454545455 | 0.0340454545454547 | | 515 | 1.23 | 1.25714285714286 | -0.0271428571428571 | | 516 | 1.322 | 1.32169230769231 | 0.000307692307692342 | | 517 | 1.079 | 1.07995454545455 | -0.00095454545454543 | | 518 | 1.041 | 1.07995454545455 | -0.0389545454545455 | | 519 | 1.204 | 1.25714285714286 | -0.0531428571428572 | | 520 | 1.114 | 1.04656521739130 | 0.0674347826086958 | | 521 | 1.041 | 1.07995454545455 | -0.0389545454545455 | | 522 | 1.204 | 1.25714285714286 | -0.0531428571428572 | | 523 | 1.23 | 1.25714285714286 | -0.0271428571428571 | | 524 | 1.079 | 1.12896 | -0.04996 | | 525 | 1.204 | 1.25714285714286 | -0.0531428571428572 | | 526 | 1.279 | 1.25714285714286 | 0.0218571428571428 | | 527 | 1.301 | 1.32169230769231 | -0.0206923076923078 | | 528 | 1.279 | 1.25714285714286 | 0.0218571428571428 | | 529 | 1 | 1.04656521739130 | -0.0465652173913043 | | 530 | 1.114 | 1.07995454545455 | 0.0340454545454547 | | 531 | 1.322 | 1.32169230769231 | 0.000307692307692342 | | 532 | 1.176 | 1.12896 | 0.04704 | | 533 | 0.903 | 1.04656521739130 | -0.143565217391304 | | 534 | 1.23 | 1.25714285714286 | -0.0271428571428571 | | 535 | 1.279 | 1.25714285714286 | 0.0218571428571428 | | 536 | 1.255 | 1.25714285714286 | -0.00214285714285722 | | 537 | 1.255 | 1.25714285714286 | -0.00214285714285722 | | 538 | 1.204 | 1.25714285714286 | -0.0531428571428572 | | 539 | 1.255 | 1.25714285714286 | -0.00214285714285722 | | 540 | 1.041 | 1.04656521739130 | -0.00556521739130433 | | 541 | 1.079 | 1.07995454545455 | -0.00095454545454543 | | 542 | 1.079 | 1.07995454545455 | -0.00095454545454543 | | 543 | 1.079 | 1.04656521739130 | 0.0324347826086957 | | 544 | 1.114 | 1.12896 | -0.0149599999999999 | | 545 | 1.279 | 1.25714285714286 | 0.0218571428571428 | | 546 | 1.279 | 1.25714285714286 | 0.0218571428571428 | | 547 | 1.114 | 1.07995454545455 | 0.0340454545454547 | | 548 | 1.146 | 1.07995454545455 | 0.0660454545454545 | | 549 | 1 | 1.07995454545455 | -0.0799545454545454 | | 550 | 1.114 | 1.07995454545455 | 0.0340454545454547 | | 551 | 1.23 | 1.25714285714286 | -0.0271428571428571 | | 552 | 1.279 | 1.25714285714286 | 0.0218571428571428 | | 553 | 1.23 | 1.16803571428571 | 0.0619642857142857 | | 554 | 1.041 | 1.04656521739130 | -0.00556521739130433 | | 555 | 1.176 | 1.16803571428571 | 0.00796428571428565 | | 556 | 1.176 | 1.16803571428571 | 0.00796428571428565 | | 557 | 0.954 | 1.04656521739130 | -0.0925652173913043 | | 558 | 1.176 | 1.16803571428571 | 0.00796428571428565 | | 559 | 1.114 | 1.12152 | -0.00751999999999997 | | 560 | 1.114 | 1.12152 | -0.00751999999999997 | | 561 | 1.279 | 1.25714285714286 | 0.0218571428571428 | | 562 | 1.23 | 1.16803571428571 | 0.0619642857142857 | | 563 | 1.322 | 1.25714285714286 | 0.064857142857143 | | 564 | 1.114 | 1.12152 | -0.00751999999999997 | | 565 | 1.114 | 1.12152 | -0.00751999999999997 | | 566 | 1.114 | 1.16803571428571 | -0.0540357142857142 | | 567 | 1.146 | 1.16803571428571 | -0.0220357142857144 | | 568 | 1.114 | 1.12152 | -0.00751999999999997 | | 569 | 1.176 | 1.16803571428571 | 0.00796428571428565 | | 570 | 1.146 | 1.12152 | 0.0244799999999998 | | 571 | 1.079 | 1.12152 | -0.0425200000000001 | | 572 | 1.279 | 1.25714285714286 | 0.0218571428571428 | | 573 | 1.146 | 1.12152 | 0.0244799999999998 | | 574 | 1.146 | 1.16803571428571 | -0.0220357142857144 | | 575 | 1.114 | 1.12152 | -0.00751999999999997 | | 576 | 1.114 | 1.12152 | -0.00751999999999997 | | 577 | 1.146 | 1.16803571428571 | -0.0220357142857144 | | 578 | 1.114 | 1.04656521739130 | 0.0674347826086958 | | 579 | 1.114 | 1.12152 | -0.00751999999999997 | | 580 | 1.146 | 1.12152 | 0.0244799999999998 | | 581 | 1.146 | 1.12152 | 0.0244799999999998 | | 582 | 1.146 | 1.16803571428571 | -0.0220357142857144 | | 583 | 1.146 | 1.12152 | 0.0244799999999998 | | 584 | 1.041 | 1.04656521739130 | -0.00556521739130433 | | 585 | 1.114 | 1.12152 | -0.00751999999999997 | | 586 | 1.079 | 1.04656521739130 | 0.0324347826086957 | | 587 | 1.114 | 1.16803571428571 | -0.0540357142857142 | | 588 | 1.114 | 1.12152 | -0.00751999999999997 | | 589 | 1.041 | 1.04656521739130 | -0.00556521739130433 | | 590 | 1.176 | 1.14836363636364 | 0.0276363636363637 | | 591 | 1.204 | 1.14836363636364 | 0.0556363636363637 | | 592 | 1.079 | 1.04656521739130 | 0.0324347826086957 | | 593 | 1 | 0.979444444444444 | 0.0205555555555555 | | 594 | 1.204 | 1.16803571428571 | 0.0359642857142857 | | 595 | 1.176 | 1.16803571428571 | 0.00796428571428565 | | 596 | 0.954 | 0.979444444444444 | -0.0254444444444445 | | 597 | 1.079 | 1.04656521739130 | 0.0324347826086957 | | 598 | 1.176 | 1.14836363636364 | 0.0276363636363637 | | 599 | 1 | 0.979444444444444 | 0.0205555555555555 | | 600 | 0.954 | 0.979444444444444 | -0.0254444444444445 | | 601 | 1.176 | 1.14836363636364 | 0.0276363636363637 | | 602 | 1.114 | 1.14836363636364 | -0.0343636363636362 | | 603 | 1.176 | 1.09741176470588 | 0.0785882352941176 | | 604 | 1.079 | 1.09741176470588 | -0.0184117647058823 | | 605 | 1.146 | 1.09741176470588 | 0.0485882352941176 | | 606 | 1.079 | 1.09741176470588 | -0.0184117647058823 | | 607 | 1.114 | 1.09741176470588 | 0.0165882352941178 | | 608 | 1 | 1.09741176470588 | -0.0974117647058823 | | 609 | 1.146 | 1.14836363636364 | -0.00236363636363635 | | 610 | 1.146 | 1.09741176470588 | 0.0485882352941176 | | 611 | 1.146 | 1.14836363636364 | -0.00236363636363635 | | 612 | 1.079 | 1.09741176470588 | -0.0184117647058823 | | 613 | 1.079 | 1.14836363636364 | -0.0693636363636363 | | 614 | 1.176 | 1.14836363636364 | 0.0276363636363637 | | 615 | 1.114 | 1.09741176470588 | 0.0165882352941178 | | 616 | 1.146 | 1.14836363636364 | -0.00236363636363635 | | 617 | 1.146 | 1.09741176470588 | 0.0485882352941176 | | 618 | 1.041 | 1.09741176470588 | -0.0564117647058824 | | 619 | 1.204 | 1.16803571428571 | 0.0359642857142857 | | 620 | 1.114 | 1.09741176470588 | 0.0165882352941178 | | 621 | 1.146 | 1.14836363636364 | -0.00236363636363635 | | 622 | 1.079 | 1.09741176470588 | -0.0184117647058823 | | 623 | 1.176 | 1.14836363636364 | 0.0276363636363637 | | 624 | 1.279 | 1.09741176470588 | 0.181588235294118 | | 625 | 1.041 | 1.09741176470588 | -0.0564117647058824 | | 626 | 1.079 | 1.09741176470588 | -0.0184117647058823 | | 627 | 1.114 | 1.09741176470588 | 0.0165882352941178 | | 628 | 1.041 | 1.09741176470588 | -0.0564117647058824 | | 629 | 1.079 | 1.09741176470588 | -0.0184117647058823 | | 630 | 1.079 | 1.09741176470588 | -0.0184117647058823 | | 631 | 1.146 | 1.14836363636364 | -0.00236363636363635 | | 632 | 1.079 | 1.09741176470588 | -0.0184117647058823 |
| | | | Charts produced by software: |  | | http://www.freestatistics.org/blog/date/2010/Dec/22/t1293036335a0asu3frhyri27a/2n2xk1293036445.png (open in new window) | | http://www.freestatistics.org/blog/date/2010/Dec/22/t1293036335a0asu3frhyri27a/2n2xk1293036445.ps (open in new window) |
 | | http://www.freestatistics.org/blog/date/2010/Dec/22/t1293036335a0asu3frhyri27a/3gbwn1293036445.png (open in new window) | | http://www.freestatistics.org/blog/date/2010/Dec/22/t1293036335a0asu3frhyri27a/3gbwn1293036445.ps (open in new window) |
 | | http://www.freestatistics.org/blog/date/2010/Dec/22/t1293036335a0asu3frhyri27a/4q3wq1293036445.png (open in new window) | | http://www.freestatistics.org/blog/date/2010/Dec/22/t1293036335a0asu3frhyri27a/4q3wq1293036445.ps (open in new window) |
| | | | Parameters (Session): | | par1 = 5 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ; | | | | Parameters (R input): | | par1 = 3 ; par2 = none ; par3 = 3 ; par4 = no ; | | | | R code (references can be found in the software module): | library(party)
library(Hmisc)
par1 <- as.numeric(par1)
par3 <- as.numeric(par3)
x <- data.frame(t(y))
is.data.frame(x)
x <- x[!is.na(x[,par1]),]
k <- length(x[1,])
n <- length(x[,1])
colnames(x)[par1]
x[,par1]
if (par2 == 'kmeans') {
cl <- kmeans(x[,par1], par3)
print(cl)
clm <- matrix(cbind(cl$centers,1:par3),ncol=2)
clm <- clm[sort.list(clm[,1]),]
for (i in 1:par3) {
cl$cluster[cl$cluster==clm[i,2]] <- paste('C',i,sep='')
}
cl$cluster <- as.factor(cl$cluster)
print(cl$cluster)
x[,par1] <- cl$cluster
}
if (par2 == 'quantiles') {
x[,par1] <- cut2(x[,par1],g=par3)
}
if (par2 == 'hclust') {
hc <- hclust(dist(x[,par1])^2, 'cen')
print(hc)
memb <- cutree(hc, k = par3)
dum <- c(mean(x[memb==1,par1]))
for (i in 2:par3) {
dum <- c(dum, mean(x[memb==i,par1]))
}
hcm <- matrix(cbind(dum,1:par3),ncol=2)
hcm <- hcm[sort.list(hcm[,1]),]
for (i in 1:par3) {
memb[memb==hcm[i,2]] <- paste('C',i,sep='')
}
memb <- as.factor(memb)
print(memb)
x[,par1] <- memb
}
if (par2=='equal') {
ed <- cut(as.numeric(x[,par1]),par3,labels=paste('C',1:par3,sep=''))
x[,par1] <- as.factor(ed)
}
table(x[,par1])
colnames(x)
colnames(x)[par1]
x[,par1]
if (par2 == 'none') {
m <- ctree(as.formula(paste(colnames(x)[par1],' ~ .',sep='')),data = x)
}
load(file='createtable')
if (par2 != 'none') {
m <- ctree(as.formula(paste('as.factor(',colnames(x)[par1],') ~ .',sep='')),data = x)
if (par4=='yes') {
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'10-Fold Cross Validation',3+2*par3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'',1,TRUE)
a<-table.element(a,'Prediction (training)',par3+1,TRUE)
a<-table.element(a,'Prediction (testing)',par3+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Actual',1,TRUE)
for (jjj in 1:par3) a<-table.element(a,paste('C',jjj,sep=''),1,TRUE)
a<-table.element(a,'CV',1,TRUE)
for (jjj in 1:par3) a<-table.element(a,paste('C',jjj,sep=''),1,TRUE)
a<-table.element(a,'CV',1,TRUE)
a<-table.row.end(a)
for (i in 1:10) {
ind <- sample(2, nrow(x), replace=T, prob=c(0.9,0.1))
m.ct <- ctree(as.formula(paste('as.factor(',colnames(x)[par1],') ~ .',sep='')),data =x[ind==1,])
if (i==1) {
m.ct.i.pred <- predict(m.ct, newdata=x[ind==1,])
m.ct.i.actu <- x[ind==1,par1]
m.ct.x.pred <- predict(m.ct, newdata=x[ind==2,])
m.ct.x.actu <- x[ind==2,par1]
} else {
m.ct.i.pred <- c(m.ct.i.pred,predict(m.ct, newdata=x[ind==1,]))
m.ct.i.actu <- c(m.ct.i.actu,x[ind==1,par1])
m.ct.x.pred <- c(m.ct.x.pred,predict(m.ct, newdata=x[ind==2,]))
m.ct.x.actu <- c(m.ct.x.actu,x[ind==2,par1])
}
}
print(m.ct.i.tab <- table(m.ct.i.actu,m.ct.i.pred))
numer <- 0
for (i in 1:par3) {
print(m.ct.i.tab[i,i] / sum(m.ct.i.tab[i,]))
numer <- numer + m.ct.i.tab[i,i]
}
print(m.ct.i.cp <- numer / sum(m.ct.i.tab))
print(m.ct.x.tab <- table(m.ct.x.actu,m.ct.x.pred))
numer <- 0
for (i in 1:par3) {
print(m.ct.x.tab[i,i] / sum(m.ct.x.tab[i,]))
numer <- numer + m.ct.x.tab[i,i]
}
print(m.ct.x.cp <- numer / sum(m.ct.x.tab))
for (i in 1:par3) {
a<-table.row.start(a)
a<-table.element(a,paste('C',i,sep=''),1,TRUE)
for (jjj in 1:par3) a<-table.element(a,m.ct.i.tab[i,jjj])
a<-table.element(a,round(m.ct.i.tab[i,i]/sum(m.ct.i.tab[i,]),4))
for (jjj in 1:par3) a<-table.element(a,m.ct.x.tab[i,jjj])
a<-table.element(a,round(m.ct.x.tab[i,i]/sum(m.ct.x.tab[i,]),4))
a<-table.row.end(a)
}
a<-table.row.start(a)
a<-table.element(a,'Overall',1,TRUE)
for (jjj in 1:par3) a<-table.element(a,'-')
a<-table.element(a,round(m.ct.i.cp,4))
for (jjj in 1:par3) a<-table.element(a,'-')
a<-table.element(a,round(m.ct.x.cp,4))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable3.tab')
}
}
m
bitmap(file='test1.png')
plot(m)
dev.off()
bitmap(file='test1a.png')
plot(x[,par1] ~ as.factor(where(m)),main='Response by Terminal Node',xlab='Terminal Node',ylab='Response')
dev.off()
if (par2 == 'none') {
forec <- predict(m)
result <- as.data.frame(cbind(x[,par1],forec,x[,par1]-forec))
colnames(result) <- c('Actuals','Forecasts','Residuals')
print(result)
}
if (par2 != 'none') {
print(cbind(as.factor(x[,par1]),predict(m)))
myt <- table(as.factor(x[,par1]),predict(m))
print(myt)
}
bitmap(file='test2.png')
if(par2=='none') {
op <- par(mfrow=c(2,2))
plot(density(result$Actuals),main='Kernel Density Plot of Actuals')
plot(density(result$Residuals),main='Kernel Density Plot of Residuals')
plot(result$Forecasts,result$Actuals,main='Actuals versus Predictions',xlab='Predictions',ylab='Actuals')
plot(density(result$Forecasts),main='Kernel Density Plot of Predictions')
par(op)
}
if(par2!='none') {
plot(myt,main='Confusion Matrix',xlab='Actual',ylab='Predicted')
}
dev.off()
if (par2 == 'none') {
detcoef <- cor(result$Forecasts,result$Actuals)
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Goodness of Fit',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Correlation',1,TRUE)
a<-table.element(a,round(detcoef,4))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'R-squared',1,TRUE)
a<-table.element(a,round(detcoef*detcoef,4))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'RMSE',1,TRUE)
a<-table.element(a,round(sqrt(mean((result$Residuals)^2)),4))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Actuals, Predictions, and Residuals',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'#',header=TRUE)
a<-table.element(a,'Actuals',header=TRUE)
a<-table.element(a,'Forecasts',header=TRUE)
a<-table.element(a,'Residuals',header=TRUE)
a<-table.row.end(a)
for (i in 1:length(result$Actuals)) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,result$Actuals[i])
a<-table.element(a,result$Forecasts[i])
a<-table.element(a,result$Residuals[i])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
}
if (par2 != 'none') {
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Confusion Matrix (predicted in columns / actuals in rows)',par3+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'',1,TRUE)
for (i in 1:par3) {
a<-table.element(a,paste('C',i,sep=''),1,TRUE)
}
a<-table.row.end(a)
for (i in 1:par3) {
a<-table.row.start(a)
a<-table.element(a,paste('C',i,sep=''),1,TRUE)
for (j in 1:par3) {
a<-table.element(a,myt[i,j])
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')
}
| | |
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