| w10 | | *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: Tue, 14 Dec 2010 09:11:51 +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/14/t1292317783b7t62lq9imc673f.htm/, Retrieved Tue, 14 Dec 2010 10:09:47 +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/14/t1292317783b7t62lq9imc673f.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 « | | 3.66356 7.74414 -4.4 4.2 0 18 19 116
3.04452 8.03398 -5.7 4.8 -0.3 69.1 9 506
3.71357 4.70048 -13.5 4.3 0.2 80 3 95
2.94444 7.5251 1.4 3 0.1 177 22 161
4.06044 7.7626 4.1 5.6 1.1 287 7 80
3.68888 7.88683 5.8 2.3 -0.1 200 9 33
3.3322 7.81521 2.7 1.9 0.4 228 7 129
3.3673 7.77779 7.1 8.9 0.2 220 15 155
2.07944 6.89163 4.1 2 0.1 183 9 132
1.94591 7.6774 1.1 5.2 0.1 43.1 10 480
3.3322 5.71373 -9 3.4 0 80 6 98
3.21888 8.33471 1.6 4.4 -0.3 78.1 16 558
1.09861 4.65396 -0.4 5.7 0.8 267 3 121
5.3845 7.38895 -4.8 6 0 81 20 122
3.93183 7.81763 -0.9 1.4 -0.3 236 15 51
3.3673 4.96981 -0.5 0.6 1.7 341.1 4 552
2.83321 7.80384 -1 1.8 0 16 7 150
3.04452 7.62168 -2.3 5.2 -0.1 66.1 12 428
2.99573 5.21494 5.8 2.6 -0.2 68.8 3 582
4.21951 7.64204 5.1 2.2 1.1 199 18 538
3.04452 7.77149 10.8 2.4 -1.5 329.8 13 579
3.7612 8.31385 12.2 4 -2.8 230.4 17 572
3.58352 7.63964 -2.8 2.1 -1.6 210.2 11 512
2.48491 7.05531 11.2 3.3 2.3 302.8 23 604
2.48491 7.38275 13.6 0.6 -0.8 159.8 11 602
3.3322 7.56786 -12.3 3.7 -0.2 7 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 | 0.4739 | | R-squared | 0.2245 | | RMSE | 0.7801 |
| Actuals, Predictions, and Residuals | | # | Actuals | Forecasts | Residuals | | 1 | 3.66356 | 3.52363472312703 | 0.139925276872966 | | 2 | 3.04452 | 3.52363472312703 | -0.479114723127034 | | 3 | 3.71357 | 2.76772288135593 | 0.945847118644066 | | 4 | 2.94444 | 3.52363472312703 | -0.579194723127034 | | 5 | 4.06044 | 3.52363472312703 | 0.536805276872966 | | 6 | 3.68888 | 3.52363472312703 | 0.165245276872966 | | 7 | 3.3322 | 3.52363472312703 | -0.191434723127034 | | 8 | 3.3673 | 3.52363472312703 | -0.156334723127034 | | 9 | 2.07944 | 2.76772288135593 | -0.688282881355934 | | 10 | 1.94591 | 3.52363472312703 | -1.57772472312703 | | 11 | 3.3322 | 2.76772288135593 | 0.564477118644066 | | 12 | 3.21888 | 3.52363472312703 | -0.304754723127034 | | 13 | 1.09861 | 2.10102692307692 | -1.00241692307692 | | 14 | 5.3845 | 3.52363472312703 | 1.86086527687297 | | 15 | 3.93183 | 3.52363472312703 | 0.408195276872966 | | 16 | 3.3673 | 3.52021857142857 | -0.152918571428571 | | 17 | 2.83321 | 3.52363472312703 | -0.690424723127034 | | 18 | 3.04452 | 3.52363472312703 | -0.479114723127034 | | 19 | 2.99573 | 2.76772288135593 | 0.228007118644066 | | 20 | 4.21951 | 3.52363472312703 | 0.695875276872965 | | 21 | 3.04452 | 3.52363472312703 | -0.479114723127034 | | 22 | 3.7612 | 3.52363472312703 | 0.237565276872966 | | 23 | 3.58352 | 3.52363472312703 | 0.0598852768729659 | | 24 | 2.48491 | 2.76772288135593 | -0.282812881355933 | | 25 | 2.48491 | 3.52363472312703 | -1.03872472312703 | | 26 | 3.3322 | 3.52363472312703 | -0.191434723127034 | | 27 | 3.13549 | 3.52363472312703 | -0.388144723127034 | | 28 | 2.07944 | 3.52363472312703 | -1.44419472312703 | | 29 | 3.68888 | 3.52363472312703 | 0.165245276872966 | | 30 | 2.99573 | 2.76772288135593 | 0.228007118644066 | | 31 | 3.98898 | 3.52363472312703 | 0.465345276872966 | | 32 | 3.04452 | 2.10102692307692 | 0.943493076923077 | | 33 | 3.55535 | 3.52363472312703 | 0.0317152768729656 | | 34 | 1.79176 | 3.52363472312703 | -1.73187472312703 | | 35 | 3.04452 | 2.76772288135593 | 0.276797118644066 | | 36 | 2.56495 | 3.52363472312703 | -0.958684723127034 | | 37 | 4.36945 | 3.52363472312703 | 0.845815276872965 | | 38 | 3.46574 | 3.52363472312703 | -0.0578947231270344 | | 39 | 4.60517 | 3.52363472312703 | 1.08153527687297 | | 40 | 3.09104 | 3.52363472312703 | -0.432594723127034 | | 41 | 4.15888 | 3.52363472312703 | 0.635245276872966 | | 42 | 1.79176 | 3.52363472312703 | -1.73187472312703 | | 43 | 2.48491 | 3.52021857142857 | -1.03530857142857 | | 44 | 3.21888 | 3.52363472312703 | -0.304754723127034 | | 45 | 3.73767 | 2.76772288135593 | 0.969947118644066 | | 46 | 4.2485 | 2.76772288135593 | 1.48077711864407 | | 47 | 3.8712 | 3.52021857142857 | 0.350981428571429 | | 48 | 4.00733 | 3.52363472312703 | 0.483695276872965 | | 49 | 2.94444 | 2.76772288135593 | 0.176717118644067 | | 50 | 3.09104 | 2.76772288135593 | 0.323317118644066 | | 51 | 1.94591 | 2.76772288135593 | -0.821812881355934 | | 52 | 3.52636 | 3.52363472312703 | 0.00272527687296575 | | 53 | 3.8712 | 3.52363472312703 | 0.347565276872966 | | 54 | 2.99573 | 3.52363472312703 | -0.527904723127034 | | 55 | 4.07754 | 3.52363472312703 | 0.553905276872966 | | 56 | 3.21888 | 3.52363472312703 | -0.304754723127034 | | 57 | 3.49651 | 3.52363472312703 | -0.0271247231270344 | | 58 | 3.2581 | 2.76772288135593 | 0.490377118644067 | | 59 | 2.99573 | 3.52363472312703 | -0.527904723127034 | | 60 | 2.70805 | 2.76772288135593 | -0.0596728813559335 | | 61 | 3.09104 | 3.52021857142857 | -0.429178571428571 | | 62 | 4.06044 | 3.52363472312703 | 0.536805276872966 | | 63 | 3.61092 | 3.52363472312703 | 0.087285276872966 | | 64 | 2.56495 | 2.76772288135593 | -0.202772881355934 | | 65 | 1.60944 | 2.10102692307692 | -0.491586923076923 | | 66 | 5.0876 | 3.52363472312703 | 1.56396527687297 | | 67 | 2.30259 | 3.52363472312703 | -1.22104472312703 | | 68 | 3.2581 | 3.52363472312703 | -0.265534723127034 | | 69 | 3.66356 | 2.76772288135593 | 0.895837118644066 | | 70 | 3.04452 | 3.52363472312703 | -0.479114723127034 | | 71 | 3.4012 | 3.52363472312703 | -0.122434723127034 | | 72 | 3.04452 | 3.52021857142857 | -0.475698571428572 | | 73 | 3.4012 | 3.52363472312703 | -0.122434723127034 | | 74 | 3.55535 | 3.52021857142857 | 0.0351314285714284 | | 75 | 3.97029 | 3.52363472312703 | 0.446655276872966 | | 76 | 4.72739 | 3.52363472312703 | 1.20375527687297 | | 77 | 4.30407 | 3.52363472312703 | 0.780435276872966 | | 78 | 2.56495 | 3.52363472312703 | -0.958684723127034 | | 79 | 3.78419 | 3.52363472312703 | 0.260555276872966 | | 80 | 4.95583 | 3.52021857142857 | 1.43561142857143 | | 81 | 3.66356 | 3.52363472312703 | 0.139925276872966 | | 82 | 5.26786 | 3.52363472312703 | 1.74422527687297 | | 83 | 3.46574 | 2.76772288135593 | 0.698017118644066 | | 84 | 2.07944 | 2.76772288135593 | -0.688282881355934 | | 85 | 3.3673 | 3.52363472312703 | -0.156334723127034 | | 86 | 3.29584 | 3.52363472312703 | -0.227794723127034 | | 87 | 2.19722 | 3.52363472312703 | -1.32641472312703 | | 88 | 3.43399 | 3.52363472312703 | -0.089644723127034 | | 89 | 3.2581 | 3.52021857142857 | -0.262118571428571 | | 90 | 2.83321 | 3.52363472312703 | -0.690424723127034 | | 91 | 3.63759 | 3.52363472312703 | 0.113955276872966 | | 92 | 2.70805 | 3.52363472312703 | -0.815584723127034 | | 93 | 2.99573 | 3.52363472312703 | -0.527904723127034 | | 94 | 4.00733 | 3.52363472312703 | 0.483695276872965 | | 95 | 3.43399 | 2.76772288135593 | 0.666267118644067 | | 96 | 0.69315 | 2.76772288135593 | -2.07457288135593 | | 97 | 3.52636 | 3.52363472312703 | 0.00272527687296575 | | 98 | 2.63906 | 3.52363472312703 | -0.884574723127034 | | 99 | 1.94591 | 3.52363472312703 | -1.57772472312703 | | 100 | 3.71357 | 3.52363472312703 | 0.189935276872966 | | 101 | 2.83321 | 2.76772288135593 | 0.0654871186440662 | | 102 | 3.43399 | 3.52363472312703 | -0.089644723127034 | | 103 | 3.29584 | 3.52363472312703 | -0.227794723127034 | | 104 | 3.17805 | 3.52363472312703 | -0.345584723127034 | | 105 | 4.81218 | 3.52363472312703 | 1.28854527687297 | | 106 | 4.63473 | 3.52363472312703 | 1.11109527687297 | | 107 | 3.04452 | 2.76772288135593 | 0.276797118644066 | | 108 | 3.8712 | 3.52021857142857 | 0.350981428571429 | | 109 | 3.68888 | 3.52363472312703 | 0.165245276872966 | | 110 | 4.33073 | 3.52363472312703 | 0.807095276872966 | | 111 | 4.61512 | 3.52363472312703 | 1.09148527687297 | | 112 | 4.43082 | 3.52363472312703 | 0.907185276872966 | | 113 | 3.4012 | 2.76772288135593 | 0.633477118644066 | | 114 | 2.48491 | 3.52363472312703 | -1.03872472312703 | | 115 | 3.29584 | 3.52363472312703 | -0.227794723127034 | | 116 | 2.94444 | 3.52363472312703 | -0.579194723127034 | | 117 | 3.3673 | 3.52363472312703 | -0.156334723127034 | | 118 | 2.89037 | 3.52363472312703 | -0.633264723127034 | | 119 | 4.90527 | 3.52363472312703 | 1.38163527687297 | | 120 | 2.63906 | 2.76772288135593 | -0.128662881355933 | | 121 | 3.29584 | 3.52363472312703 | -0.227794723127034 | | 122 | 3.71357 | 2.76772288135593 | 0.945847118644066 | | 123 | 4.39445 | 3.52363472312703 | 0.870815276872966 | | 124 | 3.82864 | 3.52363472312703 | 0.305005276872966 | | 125 | 2.56495 | 2.76772288135593 | -0.202772881355934 | | 126 | 3.3322 | 3.52363472312703 | -0.191434723127034 | | 127 | 3.13549 | 2.76772288135593 | 0.367767118644066 | | 128 | 0.69315 | 2.10102692307692 | -1.40787692307692 | | 129 | 4.00733 | 3.52363472312703 | 0.483695276872965 | | 130 | 3.2581 | 3.52363472312703 | -0.265534723127034 | | 131 | 3.2581 | 2.76772288135593 | 0.490377118644067 | | 132 | 4.84419 | 3.52363472312703 | 1.32055527687297 | | 133 | 2.63906 | 2.76772288135593 | -0.128662881355933 | | 134 | 1.38629 | 2.10102692307692 | -0.714736923076923 | | 135 | 3.2581 | 2.76772288135593 | 0.490377118644067 | | 136 | 2.30259 | 3.52363472312703 | -1.22104472312703 | | 137 | 3.09104 | 2.76772288135593 | 0.323317118644066 | | 138 | 2.94444 | 3.52363472312703 | -0.579194723127034 | | 139 | 3.4012 | 2.76772288135593 | 0.633477118644066 | | 140 | 2.99573 | 2.10102692307692 | 0.894703076923077 | | 141 | 3.82864 | 3.52363472312703 | 0.305005276872966 | | 142 | 2.30259 | 3.52363472312703 | -1.22104472312703 | | 143 | 4.29046 | 3.52363472312703 | 0.766825276872966 | | 144 | 4.41884 | 3.52363472312703 | 0.895205276872966 | | 145 | 3.3673 | 3.52363472312703 | -0.156334723127034 | | 146 | 2.30259 | 2.10102692307692 | 0.201563076923077 | | 147 | 3.98898 | 3.52363472312703 | 0.465345276872966 | | 148 | 4.12713 | 2.76772288135593 | 1.35940711864407 | | 149 | 3.68888 | 3.52021857142857 | 0.168661428571429 | | 150 | 2.30259 | 2.10102692307692 | 0.201563076923077 | | 151 | 3.29584 | 3.52363472312703 | -0.227794723127034 | | 152 | 3.13549 | 2.76772288135593 | 0.367767118644066 | | 153 | 2.07944 | 2.76772288135593 | -0.688282881355934 | | 154 | 5.25227 | 3.52363472312703 | 1.72863527687297 | | 155 | 3.78419 | 3.52363472312703 | 0.260555276872966 | | 156 | 3.97029 | 3.52021857142857 | 0.450071428571428 | | 157 | 2.99573 | 2.76772288135593 | 0.228007118644066 | | 158 | 2.56495 | 3.52021857142857 | -0.955268571428571 | | 159 | 3.21888 | 2.76772288135593 | 0.451157118644066 | | 160 | 1.38629 | 3.52363472312703 | -2.13734472312703 | | 161 | 3.13549 | 3.52363472312703 | -0.388144723127034 | | 162 | 4.06044 | 3.52363472312703 | 0.536805276872966 | | 163 | 4.27667 | 3.52363472312703 | 0.753035276872966 | | 164 | 3.49651 | 3.52363472312703 | -0.0271247231270344 | | 165 | 3.21888 | 3.52363472312703 | -0.304754723127034 | | 166 | 4.07754 | 3.52363472312703 | 0.553905276872966 | | 167 | 4.20469 | 3.52363472312703 | 0.681055276872966 | | 168 | 4.18965 | 3.52021857142857 | 0.669431428571429 | | 169 | 2.48491 | 2.76772288135593 | -0.282812881355933 | | 170 | 1.09861 | 2.76772288135593 | -1.66911288135593 | | 171 | 2.48491 | 3.52363472312703 | -1.03872472312703 | | 172 | 2.48491 | 3.52363472312703 | -1.03872472312703 | | 173 | 0.69315 | 3.52363472312703 | -2.83048472312703 | | 174 | 4.34381 | 3.52363472312703 | 0.820175276872966 | | 175 | 2.63906 | 2.76772288135593 | -0.128662881355933 | | 176 | 3.29584 | 3.52363472312703 | -0.227794723127034 | | 177 | 4.17439 | 3.52363472312703 | 0.650755276872966 | | 178 | 3.71357 | 3.52363472312703 | 0.189935276872966 | | 179 | 4.02535 | 3.52363472312703 | 0.501715276872966 | | 180 | 4.85203 | 3.52363472312703 | 1.32839527687297 | | 181 | 4.64439 | 3.52021857142857 | 1.12417142857143 | | 182 | 3.63759 | 3.52363472312703 | 0.113955276872966 | | 183 | 3.4012 | 3.52363472312703 | -0.122434723127034 | | 184 | 1.79176 | 2.76772288135593 | -0.975962881355934 | | 185 | 4.11087 | 3.52363472312703 | 0.587235276872966 | | 186 | 3.3673 | 3.52363472312703 | -0.156334723127034 | | 187 | 4.44265 | 3.52363472312703 | 0.919015276872966 | | 188 | 2.77259 | 3.52363472312703 | -0.751044723127034 | | 189 | 3.71357 | 2.76772288135593 | 0.945847118644066 | | 190 | 5.17048 | 3.52363472312703 | 1.64684527687297 | | 191 | 3.09104 | 3.52363472312703 | -0.432594723127034 | | 192 | 2.70805 | 3.52363472312703 | -0.815584723127034 | | 193 | 4.11087 | 3.52363472312703 | 0.587235276872966 | | 194 | 4.79579 | 3.52363472312703 | 1.27215527687297 | | 195 | 2.3979 | 3.52021857142857 | -1.12231857142857 | | 196 | 2.99573 | 2.76772288135593 | 0.228007118644066 | | 197 | 3.13549 | 3.52363472312703 | -0.388144723127034 | | 198 | 3.43399 | 3.52363472312703 | -0.089644723127034 | | 199 | 3.4012 | 3.52363472312703 | -0.122434723127034 | | 200 | 3.09104 | 3.52363472312703 | -0.432594723127034 | | 201 | 4.45435 | 3.52363472312703 | 0.930715276872966 | | 202 | 4.18965 | 3.52363472312703 | 0.666015276872966 | | 203 | 3.73767 | 3.52363472312703 | 0.214035276872966 | | 204 | 4.20469 | 3.52021857142857 | 0.684471428571429 | | 205 | 2.56495 | 2.76772288135593 | -0.202772881355934 | | 206 | 2.56495 | 3.52363472312703 | -0.958684723127034 | | 207 | 4.85981 | 3.52363472312703 | 1.33617527687297 | | 208 | 5.25227 | 3.52363472312703 | 1.72863527687297 | | 209 | 2.63906 | 2.76772288135593 | -0.128662881355933 | | 210 | 3.13549 | 2.76772288135593 | 0.367767118644066 | | 211 | 1.94591 | 2.76772288135593 | -0.821812881355934 | | 212 | 3.4012 | 3.52021857142857 | -0.119018571428572 | | 213 | 4.72739 | 3.52363472312703 | 1.20375527687297 | | 214 | 3.3673 | 2.76772288135593 | 0.599577118644067 | | 215 | 3.2581 | 3.52363472312703 | -0.265534723127034 | | 216 | 3.73767 | 3.52363472312703 | 0.214035276872966 | | 217 | 1.79176 | 3.52363472312703 | -1.73187472312703 | | 218 | 4.06044 | 3.52363472312703 | 0.536805276872966 | | 219 | 3.91202 | 3.52363472312703 | 0.388385276872966 | | 220 | 0.69315 | 2.76772288135593 | -2.07457288135593 | | 221 | 1.60944 | 2.76772288135593 | -1.15828288135593 | | 222 | 4.46591 | 3.52363472312703 | 0.942275276872966 | | 223 | 3.17805 | 3.52363472312703 | -0.345584723127034 | | 224 | 2.89037 | 3.52021857142857 | -0.629848571428572 | | 225 | 4.17439 | 3.52363472312703 | 0.650755276872966 | | 226 | 3.73767 | 3.52363472312703 | 0.214035276872966 | | 227 | 4.00733 | 3.52363472312703 | 0.483695276872965 | | 228 | 3.04452 | 3.52363472312703 | -0.479114723127034 | | 229 | 2.63906 | 3.52363472312703 | -0.884574723127034 | | 230 | 4.11087 | 3.52363472312703 | 0.587235276872966 | | 231 | 4.47734 | 3.52363472312703 | 0.953705276872966 | | 232 | 3.17805 | 3.52363472312703 | -0.345584723127034 | | 233 | 3.3322 | 3.52363472312703 | -0.191434723127034 | | 234 | 0.69315 | 2.76772288135593 | -2.07457288135593 | | 235 | 4.58497 | 3.52363472312703 | 1.06133527687297 | | 236 | 0.69315 | 2.10102692307692 | -1.40787692307692 | | 237 | 3.4012 | 3.52363472312703 | -0.122434723127034 | | 238 | 2.07944 | 3.52363472312703 | -1.44419472312703 | | 239 | 4.55388 | 3.52363472312703 | 1.03024527687297 | | 240 | 3.21888 | 2.76772288135593 | 0.451157118644066 | | 241 | 2.77259 | 2.10102692307692 | 0.671563076923077 | | 242 | 3.29584 | 2.76772288135593 | 0.528117118644067 | | 243 | 3.3322 | 3.52363472312703 | -0.191434723127034 | | 244 | 4.02535 | 3.52363472312703 | 0.501715276872966 | | 245 | 4.38203 | 3.52363472312703 | 0.858395276872966 | | 246 | 2.99573 | 3.52021857142857 | -0.524488571428571 | | 247 | 3.55535 | 3.52363472312703 | 0.0317152768729656 | | 248 | 3.2581 | 3.52363472312703 | -0.265534723127034 | | 249 | 4.47734 | 3.52363472312703 | 0.953705276872966 | | 250 | 4.06044 | 3.52021857142857 | 0.540221428571428 | | 251 | 3.21888 | 3.52363472312703 | -0.304754723127034 | | 252 | 4.46591 | 3.52021857142857 | 0.945691428571429 | | 253 | 3.13549 | 2.76772288135593 | 0.367767118644066 | | 254 | 2.30259 | 2.10102692307692 | 0.201563076923077 | | 255 | 3.61092 | 3.52021857142857 | 0.0907014285714287 | | 256 | 3.13549 | 3.52021857142857 | -0.384728571428572 | | 257 | 3.89182 | 3.52363472312703 | 0.368185276872966 | | 258 | 3.21888 | 3.52363472312703 | -0.304754723127034 | | 259 | 3.17805 | 2.76772288135593 | 0.410327118644066 | | 260 | 3.73767 | 3.52363472312703 | 0.214035276872966 | | 261 | 2.3979 | 3.52363472312703 | -1.12573472312703 | | 262 | 3.68888 | 3.52363472312703 | 0.165245276872966 | | 263 | 4.26268 | 3.52363472312703 | 0.739045276872965 | | 264 | 4.94164 | 3.52363472312703 | 1.41800527687297 | | 265 | 3.29584 | 3.52363472312703 | -0.227794723127034 | | 266 | 2.07944 | 2.76772288135593 | -0.688282881355934 | | 267 | 2.19722 | 3.52363472312703 | -1.32641472312703 | | 268 | 2.07944 | 3.52021857142857 | -1.44077857142857 | | 269 | 4.54329 | 3.52363472312703 | 1.01965527687297 | | 270 | 2.07944 | 3.52363472312703 | -1.44419472312703 | | 271 | 4.36945 | 3.52363472312703 | 0.845815276872965 | | 272 | 3.97029 | 3.52363472312703 | 0.446655276872966 | | 273 | 3.98898 | 3.52021857142857 | 0.468761428571429 | | 274 | 2.99573 | 3.52363472312703 | -0.527904723127034 | | 275 | 3.52636 | 2.76772288135593 | 0.758637118644066 | | 276 | 2.99573 | 3.52363472312703 | -0.527904723127034 | | 277 | 5.39363 | 3.52363472312703 | 1.86999527687297 | | 278 | 3.63759 | 3.52363472312703 | 0.113955276872966 | | 279 | 2.30259 | 2.76772288135593 | -0.465132881355934 | | 280 | 4.92725 | 3.52363472312703 | 1.40361527687297 | | 281 | 2.94444 | 3.52363472312703 | -0.579194723127034 | | 282 | 2.70805 | 3.52363472312703 | -0.815584723127034 | | 283 | 2.07944 | 3.52363472312703 | -1.44419472312703 | | 284 | 3.4012 | 3.52363472312703 | -0.122434723127034 | | 285 | 5.05625 | 3.52363472312703 | 1.53261527687297 | | 286 | 4.93447 | 3.52363472312703 | 1.41083527687297 | | 287 | 2.56495 | 3.52363472312703 | -0.958684723127034 | | 288 | 3.04452 | 3.52363472312703 | -0.479114723127034 | | 289 | 1.38629 | 2.76772288135593 | -1.38143288135593 | | 290 | 2.77259 | 3.52363472312703 | -0.751044723127034 | | 291 | 3.91202 | 3.52363472312703 | 0.388385276872966 | | 292 | 4.35671 | 3.52363472312703 | 0.833075276872965 | | 293 | 3.4012 | 3.52363472312703 | -0.122434723127034 | | 294 | 4.02535 | 3.52363472312703 | 0.501715276872966 | | 295 | 3.73767 | 3.52363472312703 | 0.214035276872966 | | 296 | 2.94444 | 3.52363472312703 | -0.579194723127034 | | 297 | 4.09434 | 3.52021857142857 | 0.574121428571428 | | 298 | 3.04452 | 3.52021857142857 | -0.475698571428572 | | 299 | 3.17805 | 3.52363472312703 | -0.345584723127034 | | 300 | 2.56495 | 3.52363472312703 | -0.958684723127034 | | 301 | 2.63906 | 2.10102692307692 | 0.538033076923077 | | 302 | 3.09104 | 3.52363472312703 | -0.432594723127034 | | 303 | 3.4012 | 3.52363472312703 | -0.122434723127034 | | 304 | 2.19722 | 2.76772288135593 | -0.570502881355933 | | 305 | 3.7612 | 3.52021857142857 | 0.240981428571429 | | 306 | 2.77259 | 2.76772288135593 | 0.00486711864406653 | | 307 | 3.4012 | 2.76772288135593 | 0.633477118644066 | | 308 | 3.61092 | 2.76772288135593 | 0.843197118644067 | | 309 | 3.3673 | 2.76772288135593 | 0.599577118644067 | | 310 | 0.69315 | 2.10102692307692 | -1.40787692307692 | | 311 | 2.94444 | 2.76772288135593 | 0.176717118644067 | | 312 | 4.17439 | 3.52363472312703 | 0.650755276872966 | | 313 | 2.83321 | 3.52363472312703 | -0.690424723127034 | | 314 | 3.04452 | 2.10102692307692 | 0.943493076923077 | | 315 | 3.2581 | 3.52363472312703 | -0.265534723127034 | | 316 | 3.21888 | 3.52363472312703 | -0.304754723127034 | | 317 | 4.23411 | 3.52363472312703 | 0.710475276872966 | | 318 | 4.81218 | 3.52363472312703 | 1.28854527687297 | | 319 | 4.39445 | 3.52363472312703 | 0.870815276872966 | | 320 | 2.63906 | 2.76772288135593 | -0.128662881355933 | | 321 | 3.2581 | 3.52363472312703 | -0.265534723127034 | | 322 | 1.94591 | 3.52021857142857 | -1.57430857142857 | | 323 | 2.94444 | 3.52363472312703 | -0.579194723127034 | | 324 | 2.56495 | 3.52363472312703 | -0.958684723127034 | | 325 | 3.21888 | 2.76772288135593 | 0.451157118644066 | | 326 | 2.77259 | 3.52363472312703 | -0.751044723127034 | | 327 | 4.61512 | 3.52363472312703 | 1.09148527687297 | | 328 | 1.60944 | 2.10102692307692 | -0.491586923076923 | | 329 | 2.07944 | 2.10102692307692 | -0.021586923076923 | | 330 | 3.8712 | 3.52021857142857 | 0.350981428571429 | | 331 | 3.17805 | 3.52363472312703 | -0.345584723127034 | | 332 | 3.58352 | 3.52363472312703 | 0.0598852768729659 | | 333 | 4.68213 | 3.52363472312703 | 1.15849527687297 | | 334 | 2.56495 | 3.52363472312703 | -0.958684723127034 | | 335 | 2.30259 | 2.76772288135593 | -0.465132881355934 | | 336 | 3.55535 | 3.52363472312703 | 0.0317152768729656 | | 337 | 3.46574 | 3.52021857142857 | -0.0544785714285716 | | 338 | 2.48491 | 3.52363472312703 | -1.03872472312703 | | 339 | 4.21951 | 3.52021857142857 | 0.699291428571428 | | 340 | 2.30259 | 3.52363472312703 | -1.22104472312703 | | 341 | 2.70805 | 3.52021857142857 | -0.812168571428571 | | 342 | 2.99573 | 3.52363472312703 | -0.527904723127034 | | 343 | 2.48491 | 2.76772288135593 | -0.282812881355933 | | 344 | 3.13549 | 3.52363472312703 | -0.388144723127034 | | 345 | 4.15888 | 3.52363472312703 | 0.635245276872966 | | 346 | 1.79176 | 2.76772288135593 | -0.975962881355934 | | 347 | 3.29584 | 3.52363472312703 | -0.227794723127034 | | 348 | 2.83321 | 3.52021857142857 | -0.687008571428572 | | 349 | 3.52636 | 2.10102692307692 | 1.42533307692308 | | 350 | 3.2581 | 2.76772288135593 | 0.490377118644067 | | 351 | 3.98898 | 2.76772288135593 | 1.22125711864407 | | 352 | 1.60944 | 2.76772288135593 | -1.15828288135593 | | 353 | 3.49651 | 3.52363472312703 | -0.0271247231270344 | | 354 | 3.17805 | 3.52363472312703 | -0.345584723127034 | | 355 | 4.67283 | 3.52363472312703 | 1.14919527687297 | | 356 | 3.43399 | 2.76772288135593 | 0.666267118644067 | | 357 | 2.07944 | 3.52363472312703 | -1.44419472312703 | | 358 | 3.29584 | 3.52363472312703 | -0.227794723127034 | | 359 | 2.30259 | 3.52363472312703 | -1.22104472312703 | | 360 | 2.07944 | 2.76772288135593 | -0.688282881355934 | | 361 | 0.69315 | 2.10102692307692 | -1.40787692307692 | | 362 | 3.13549 | 3.52363472312703 | -0.388144723127034 | | 363 | 3.82864 | 3.52363472312703 | 0.305005276872966 | | 364 | 3.8712 | 3.52363472312703 | 0.347565276872966 | | 365 | 2.99573 | 2.76772288135593 | 0.228007118644066 | | 366 | 3.2581 | 3.52363472312703 | -0.265534723127034 | | 367 | 3.3322 | 3.52021857142857 | -0.188018571428572 | | 368 | 3.49651 | 3.52363472312703 | -0.0271247231270344 | | 369 | 1.94591 | 2.76772288135593 | -0.821812881355934 | | 370 | 4.57471 | 3.52363472312703 | 1.05107527687297 | | 371 | 3.91202 | 3.52363472312703 | 0.388385276872966 | | 372 | 3.80666 | 2.76772288135593 | 1.03893711864407 | | 373 | 3.93183 | 3.52021857142857 | 0.411611428571429 | | 374 | 2.48491 | 2.76772288135593 | -0.282812881355933 | | 375 | 3.13549 | 3.52363472312703 | -0.388144723127034 | | 376 | 2.94444 | 2.76772288135593 | 0.176717118644067 | | 377 | 3.4012 | 3.52363472312703 | -0.122434723127034 | | 378 | 1.94591 | 2.76772288135593 | -0.821812881355934 | | 379 | 3.17805 | 2.76772288135593 | 0.410327118644066 | | 380 | 3.21888 | 3.52363472312703 | -0.304754723127034 | | 381 | 2.63906 | 2.10102692307692 | 0.538033076923077 | | 382 | 3.3322 | 3.52363472312703 | -0.191434723127034 | | 383 | 2.70805 | 2.76772288135593 | -0.0596728813559335 | | 384 | 3.78419 | 3.52021857142857 | 0.263971428571429 | | 385 | 3.78419 | 3.52363472312703 | 0.260555276872966 | | 386 | 1.60944 | 3.52363472312703 | -1.91419472312703 | | 387 | 3.3673 | 3.52363472312703 | -0.156334723127034 | | 388 | 3.04452 | 2.10102692307692 | 0.943493076923077 | | 389 | 4.45435 | 3.52363472312703 | 0.930715276872966 | | 390 | 1.94591 | 2.76772288135593 | -0.821812881355934 | | 391 | 2.63906 | 2.10102692307692 | 0.538033076923077 | | 392 | 3.3322 | 3.52363472312703 | -0.191434723127034 | | 393 | 3.43399 | 2.76772288135593 | 0.666267118644067 | | 394 | 3.89182 | 3.52363472312703 | 0.368185276872966 | | 395 | 2.19722 | 3.52363472312703 | -1.32641472312703 | | 396 | 4.59512 | 3.52363472312703 | 1.07148527687297 | | 397 | 3.49651 | 3.52021857142857 | -0.0237085714285716 | | 398 | 2.83321 | 3.52363472312703 | -0.690424723127034 | | 399 | 2.19722 | 2.76772288135593 | -0.570502881355933 | | 400 | 2.89037 | 2.76772288135593 | 0.122647118644066 | | 401 | 3.4012 | 3.52021857142857 | -0.119018571428572 | | 402 | 2.99573 | 2.76772288135593 | 0.228007118644066 | | 403 | 3.73767 | 3.52363472312703 | 0.214035276872966 | | 404 | 2.94444 | 2.76772288135593 | 0.176717118644067 | | 405 | 3.58352 | 3.52363472312703 | 0.0598852768729659 | | 406 | 3.29584 | 3.52363472312703 | -0.227794723127034 | | 407 | 4.8752 | 3.52363472312703 | 1.35156527687297 | | 408 | 4.33073 | 3.52363472312703 | 0.807095276872966 | | 409 | 3.29584 | 3.52021857142857 | -0.224378571428571 | | 410 | 3.78419 | 3.52363472312703 | 0.260555276872966 | | 411 | 3.61092 | 2.76772288135593 | 0.843197118644067 | | 412 | 2.83321 | 2.76772288135593 | 0.0654871186440662 | | 413 | 3.7612 | 3.52021857142857 | 0.240981428571429 | | 414 | 3.58352 | 2.76772288135593 | 0.815797118644066 | | 415 | 3.17805 | 2.76772288135593 | 0.410327118644066 | | 416 | 3.52636 | 3.52021857142857 | 0.00614142857142852 | | 417 | 4.21951 | 3.52363472312703 | 0.695875276872965 | | 418 | 3.93183 | 3.52363472312703 | 0.408195276872966 | | 419 | 2.30259 | 2.76772288135593 | -0.465132881355934 | | 420 | 3.2581 | 2.76772288135593 | 0.490377118644067 | | 421 | 2.70805 | 2.76772288135593 | -0.0596728813559335 | | 422 | 3.55535 | 2.76772288135593 | 0.787627118644066 | | 423 | 1.94591 | 2.76772288135593 | -0.821812881355934 | | 424 | 4.36945 | 3.52021857142857 | 0.849231428571428 | | 425 | 4.70048 | 3.52363472312703 | 1.17684527687297 | | 426 | 2.48491 | 2.10102692307692 | 0.383883076923077 | | 427 | 1.60944 | 3.52363472312703 | -1.91419472312703 | | 428 | 3.78419 | 3.52363472312703 | 0.260555276872966 | | 429 | 1.94591 | 2.76772288135593 | -0.821812881355934 | | 430 | 3.09104 | 3.52363472312703 | -0.432594723127034 | | 431 | 3.21888 | 3.52363472312703 | -0.304754723127034 | | 432 | 2.48491 | 3.52363472312703 | -1.03872472312703 | | 433 | 2.19722 | 2.76772288135593 | -0.570502881355933 | | 434 | 4.93447 | 3.52021857142857 | 1.41425142857143 | | 435 | 4.04305 | 3.52363472312703 | 0.519415276872966 | | 436 | 4.51086 | 3.52363472312703 | 0.987225276872966 | | 437 | 1.94591 | 2.10102692307692 | -0.155116923076923 | | 438 | 3.09104 | 3.52363472312703 | -0.432594723127034 | | 439 | 4.60517 | 3.52363472312703 | 1.08153527687297 | | 440 | 3.63759 | 3.52363472312703 | 0.113955276872966 | | 441 | 3.46574 | 3.52363472312703 | -0.0578947231270344 | | 442 | 3.8712 | 3.52363472312703 | 0.347565276872966 | | 443 | 5.15329 | 3.52363472312703 | 1.62965527687297 | | 444 | 3.04452 | 3.52363472312703 | -0.479114723127034 | | 445 | 3.49651 | 3.52363472312703 | -0.0271247231270344 | | 446 | 2.56495 | 2.76772288135593 | -0.202772881355934 | | 447 | 3.85015 | 3.52363472312703 | 0.326515276872966 | | 448 | 2.48491 | 2.76772288135593 | -0.282812881355933 | | 449 | 2.07944 | 2.76772288135593 | -0.688282881355934 | | 450 | 2.99573 | 3.52363472312703 | -0.527904723127034 | | 451 | 1.38629 | 2.76772288135593 | -1.38143288135593 | | 452 | 3.17805 | 3.52363472312703 | -0.345584723127034 | | 453 | 2.19722 | 2.76772288135593 | -0.570502881355933 | | 454 | 3.55535 | 3.52363472312703 | 0.0317152768729656 | | 455 | 3.8712 | 3.52363472312703 | 0.347565276872966 | | 456 | 3.4012 | 3.52363472312703 | -0.122434723127034 | | 457 | 3.04452 | 3.52363472312703 | -0.479114723127034 | | 458 | 4.34381 | 3.52021857142857 | 0.82359142857143 | | 459 | 2.3979 | 3.52363472312703 | -1.12573472312703 | | 460 | 2.63906 | 3.52363472312703 | -0.884574723127034 | | 461 | 2.56495 | 2.76772288135593 | -0.202772881355934 | | 462 | 3.3322 | 2.76772288135593 | 0.564477118644066 | | 463 | 2.56495 | 3.52363472312703 | -0.958684723127034 | | 464 | 3.68888 | 3.52363472312703 | 0.165245276872966 | | 465 | 2.3979 | 3.52363472312703 | -1.12573472312703 | | 466 | 2.3979 | 3.52021857142857 | -1.12231857142857 | | 467 | 4.68213 | 3.52363472312703 | 1.15849527687297 | | 468 | 3.04452 | 3.52363472312703 | -0.479114723127034 | | 469 | 3.04452 | 3.52021857142857 | -0.475698571428572 | | 470 | 2.19722 | 2.10102692307692 | 0.0961930769230772 | | 471 | 3.17805 | 3.52363472312703 | -0.345584723127034 | | 472 | 4.48864 | 3.52363472312703 | 0.965005276872966 | | 473 | 2.30259 | 3.52363472312703 | -1.22104472312703 | | 474 | 3.29584 | 3.52363472312703 | -0.227794723127034 | | 475 | 3.17805 | 3.52363472312703 | -0.345584723127034 | | 476 | 4.06044 | 2.76772288135593 | 1.29271711864407 | | 477 | 4.15888 | 2.76772288135593 | 1.39115711864407 | | 478 | 3.09104 | 2.10102692307692 | 0.990013076923077 | | 479 | 4.41884 | 3.52363472312703 | 0.895205276872966 | | 480 | 2.89037 | 2.76772288135593 | 0.122647118644066 | | 481 | 1.09861 | 2.10102692307692 | -1.00241692307692 | | 482 | 3.43399 | 3.52363472312703 | -0.089644723127034 | | 483 | 3.52636 | 3.52363472312703 | 0.00272527687296575 | | 484 | 3.13549 | 3.52363472312703 | -0.388144723127034 | | 485 | 2.19722 | 3.52363472312703 | -1.32641472312703 | | 486 | 3.13549 | 3.52363472312703 | -0.388144723127034 | | 487 | 2.07944 | 2.76772288135593 | -0.688282881355934 | | 488 | 3.63759 | 2.76772288135593 | 0.869867118644066 | | 489 | 3.73767 | 3.52021857142857 | 0.217451428571429 | | 490 | 2.48491 | 2.76772288135593 | -0.282812881355933 | | 491 | 1.94591 | 3.52363472312703 | -1.57772472312703 | | 492 | 1.94591 | 2.76772288135593 | -0.821812881355934 | | 493 | 2.77259 | 2.76772288135593 | 0.00486711864406653 | | 494 | 2.70805 | 2.76772288135593 | -0.0596728813559335 | | 495 | 1.79176 | 2.76772288135593 | -0.975962881355934 | | 496 | 2.30259 | 2.76772288135593 | -0.465132881355934 | | 497 | 4.11087 | 3.52363472312703 | 0.587235276872966 | | 498 | 3.4012 | 3.52021857142857 | -0.119018571428572 | | 499 | 3.68888 | 3.52363472312703 | 0.165245276872966 | | 500 | 4.17439 | 3.52363472312703 | 0.650755276872966 |
| | | | Charts produced by software: |  | | http://www.freestatistics.org/blog/date/2010/Dec/14/t1292317783b7t62lq9imc673f/2oehb1292317883.png (open in new window) | | http://www.freestatistics.org/blog/date/2010/Dec/14/t1292317783b7t62lq9imc673f/2oehb1292317883.ps (open in new window) |
 | | http://www.freestatistics.org/blog/date/2010/Dec/14/t1292317783b7t62lq9imc673f/3oehb1292317883.png (open in new window) | | http://www.freestatistics.org/blog/date/2010/Dec/14/t1292317783b7t62lq9imc673f/3oehb1292317883.ps (open in new window) |
 | | http://www.freestatistics.org/blog/date/2010/Dec/14/t1292317783b7t62lq9imc673f/4ynzw1292317883.png (open in new window) | | http://www.freestatistics.org/blog/date/2010/Dec/14/t1292317783b7t62lq9imc673f/4ynzw1292317883.ps (open in new window) |
| | | | Parameters (Session): | | par1 = 1 ; par2 = none ; par4 = no ; | | | | Parameters (R input): | | par1 = 1 ; par2 = none ; 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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