Workshop 7 group RP

*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: Fri, 24 Dec 2010 14:55:59 +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/24/t1293202477ly00sdp1f712wpa.htm/, Retrieved Fri, 24 Dec 2010 15:54:41 +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/24/t1293202477ly00sdp1f712wpa.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 «

1 162556 1081 213118 6282929 1 29790 309 81767 4324047 1 87550 458 153198 4108272 0 84738 588 -26007 -1212617 1 54660 299 126942 1485329 1 42634 156 157214 1779876 0 40949 481 129352 1367203 1 42312 323 234817 2519076 1 37704 452 60448 912684 1 16275 109 47818 1443586 0 25830 115 245546 1220017 0 12679 110 48020 984885 1 18014 239 -1710 1457425 0 43556 247 32648 -572920 1 24524 497 95350 929144 0 6532 103 151352 1151176 0 7123 109 288170 790090 1 20813 502 114337 774497 1 37597 248 37884 990576 0 17821 373 122844 454195 1 12988 119 82340 876607 1 22330 84 79801 711969 0 13326 102 165548 702380 0 16189 295 116384 264449 0 7146 105 134028 450033 0 15824 64 63838 541063 1 26088 267 74996 588864 0 11326 129 31080 -37216 0 8568 37 32168 783310 0 14416 361 49857 467359 1 3369 28 87161 688779 1 11819 85 106113 608419 1 6620 44 80570 696348 1 4519 49 102129 597793 0 2220 22 301670 821730 0 18562 155 102313 377934 0 10327 91 88577 651939 1 5336 81 112477 697458 1 2365 79 191778 70 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! Summary of computational transaction Raw Input view raw input (R code) Raw Output view raw output of R engine Computing time 21 seconds R Server 'Gwilym Jenkins' @ 72.249.127.135 R Framework error message The field 'Names of X columns' contains a hard return which cannot be interpreted. Please, resubmit your request without hard returns in the 'Names of X columns'. Goodness of Fit Correlation 0.3287 R-squared 0.108 RMSE 0.4233 Actuals, Predictions, and Residuals # Actuals Forecasts Residuals 1 1 0.72093023255814 0.279069767441861 2 1 0.72093023255814 0.279069767441861 3 1 0.72093023255814 0.279069767441861 4 0 0.229381443298969 -0.229381443298969 5 1 0.72093023255814 0.279069767441861 6 1 0.72093023255814 0.279069767441861 7 0 0.72093023255814 -0.72093023255814 8 1 0.72093023255814 0.279069767441861 9 1 0.72093023255814 0.279069767441861 10 1 0.72093023255814 0.279069767441861 11 0 0.72093023255814 -0.72093023255814 12 0 0.72093023255814 -0.72093023255814 13 1 0.72093023255814 0.279069767441861 14 0 0.229381443298969 -0.229381443298969 15 1 0.72093023255814 0.279069767441861 16 0 0.72093023255814 -0.72093023255814 17 0 0.72093023255814 -0.72093023255814 18 1 0.72093023255814 0.279069767441861 19 1 0.72093023255814 0.279069767441861 20 0 0.229381443298969 -0.229381443298969 21 1 0.72093023255814 0.279069767441861 22 1 0.72093023255814 0.279069767441861 23 0 0.72093023255814 -0.72093023255814 24 0 0.229381443298969 -0.229381443298969 25 0 0.229381443298969 -0.229381443298969 26 0 0.72093023255814 -0.72093023255814 27 1 0.72093023255814 0.279069767441861 28 0 0.229381443298969 -0.229381443298969 29 0 0.72093023255814 -0.72093023255814 30 0 0.229381443298969 -0.229381443298969 31 1 0.72093023255814 0.279069767441861 32 1 0.72093023255814 0.279069767441861 33 1 0.72093023255814 0.279069767441861 34 1 0.72093023255814 0.279069767441861 35 0 0.72093023255814 -0.72093023255814 36 0 0.229381443298969 -0.229381443298969 37 0 0.72093023255814 -0.72093023255814 38 1 0.72093023255814 0.279069767441861 39 1 0.72093023255814 0.279069767441861 40 0 0.229381443298969 -0.229381443298969 41 0 0.229381443298969 -0.229381443298969 42 0 0.229381443298969 -0.229381443298969 43 0 0.72093023255814 -0.72093023255814 44 0 0.229381443298969 -0.229381443298969 45 0 0.229381443298969 -0.229381443298969 46 1 0.229381443298969 0.770618556701031 47 1 0.72093023255814 0.279069767441861 48 1 0.72093023255814 0.279069767441861 49 0 0.229381443298969 -0.229381443298969 50 0 0.229381443298969 -0.229381443298969 51 1 0.72093023255814 0.279069767441861 52 1 0.72093023255814 0.279069767441861 53 1 0.72093023255814 0.279069767441861 54 1 0.72093023255814 0.279069767441861 55 1 0.229381443298969 0.770618556701031 56 0 0.229381443298969 -0.229381443298969 57 0 0.72093023255814 -0.72093023255814 58 0 0.229381443298969 -0.229381443298969 59 0 0.229381443298969 -0.229381443298969 60 1 0.229381443298969 0.770618556701031 61 1 0.72093023255814 0.279069767441861 62 0 0.229381443298969 -0.229381443298969 63 1 0.229381443298969 0.770618556701031 64 1 0.229381443298969 0.770618556701031 65 0 0.229381443298969 -0.229381443298969 66 0 0.229381443298969 -0.229381443298969 67 0 0.229381443298969 -0.229381443298969 68 1 0.229381443298969 0.770618556701031 69 0 0.229381443298969 -0.229381443298969 70 1 0.229381443298969 0.770618556701031 71 1 0.229381443298969 0.770618556701031 72 0 0.229381443298969 -0.229381443298969 73 0 0.229381443298969 -0.229381443298969 74 0 0.229381443298969 -0.229381443298969 75 0 0.229381443298969 -0.229381443298969 76 1 0.229381443298969 0.770618556701031 77 0 0.229381443298969 -0.229381443298969 78 0 0.229381443298969 -0.229381443298969 79 0 0.229381443298969 -0.229381443298969 80 1 0.229381443298969 0.770618556701031 81 0 0.229381443298969 -0.229381443298969 82 1 0.229381443298969 0.770618556701031 83 0 0.229381443298969 -0.229381443298969 84 0 0.229381443298969 -0.229381443298969 85 0 0.229381443298969 -0.229381443298969 86 1 0.229381443298969 0.770618556701031 87 0 0.229381443298969 -0.229381443298969 88 0 0.229381443298969 -0.229381443298969 89 0 0.229381443298969 -0.229381443298969 90 0 0.229381443298969 -0.229381443298969 91 0 0.229381443298969 -0.229381443298969 92 1 0.229381443298969 0.770618556701031 93 0 0.229381443298969 -0.229381443298969 94 1 0.229381443298969 0.770618556701031 95 0 0.229381443298969 -0.229381443298969 96 1 0.229381443298969 0.770618556701031 97 0 0.229381443298969 -0.229381443298969 98 1 0.229381443298969 0.770618556701031 99 0 0.229381443298969 -0.229381443298969 100 1 0.229381443298969 0.770618556701031 101 1 0.229381443298969 0.770618556701031 102 0 0.229381443298969 -0.229381443298969 103 0 0.229381443298969 -0.229381443298969 104 0 0.229381443298969 -0.229381443298969 105 0 0.229381443298969 -0.229381443298969 106 0 0.229381443298969 -0.229381443298969 107 1 0.229381443298969 0.770618556701031 108 1 0.72093023255814 0.279069767441861 109 0 0.229381443298969 -0.229381443298969 110 1 0.229381443298969 0.770618556701031 111 0 0.229381443298969 -0.229381443298969 112 1 0.229381443298969 0.770618556701031 113 0 0.229381443298969 -0.229381443298969 114 1 0.229381443298969 0.770618556701031 115 1 0.229381443298969 0.770618556701031 116 0 0.229381443298969 -0.229381443298969 117 0 0.229381443298969 -0.229381443298969 118 0 0.229381443298969 -0.229381443298969 119 1 0.229381443298969 0.770618556701031 120 0 0.229381443298969 -0.229381443298969 121 0 0.229381443298969 -0.229381443298969 122 0 0.229381443298969 -0.229381443298969 123 0 0.229381443298969 -0.229381443298969 124 1 0.72093023255814 0.279069767441861 125 1 0.229381443298969 0.770618556701031 126 1 0.229381443298969 0.770618556701031 127 0 0.229381443298969 -0.229381443298969 128 0 0.229381443298969 -0.229381443298969 129 0 0.229381443298969 -0.229381443298969 130 0 0.229381443298969 -0.229381443298969 131 0 0.229381443298969 -0.229381443298969 132 0 0.229381443298969 -0.229381443298969 133 0 0.229381443298969 -0.229381443298969 134 0 0.229381443298969 -0.229381443298969 135 0 0.229381443298969 -0.229381443298969 136 0 0.229381443298969 -0.229381443298969 137 0 0.229381443298969 -0.229381443298969 138 0 0.229381443298969 -0.229381443298969 139 0 0.229381443298969 -0.229381443298969 140 0 0.229381443298969 -0.229381443298969 141 0 0.229381443298969 -0.229381443298969 142 0 0.229381443298969 -0.229381443298969 143 0 0.229381443298969 -0.229381443298969 144 0 0.229381443298969 -0.229381443298969 145 0 0.229381443298969 -0.229381443298969 146 0 0.229381443298969 -0.229381443298969 147 0 0.229381443298969 -0.229381443298969 148 0 0.229381443298969 -0.229381443298969 149 0 0.229381443298969 -0.229381443298969 150 0 0.229381443298969 -0.229381443298969 151 0 0.229381443298969 -0.229381443298969 152 0 0.229381443298969 -0.229381443298969 153 0 0.229381443298969 -0.229381443298969 154 0 0.229381443298969 -0.229381443298969 155 0 0.229381443298969 -0.229381443298969 156 0 0.229381443298969 -0.229381443298969 157 0 0.229381443298969 -0.229381443298969 158 0 0.229381443298969 -0.229381443298969 159 0 0.229381443298969 -0.229381443298969 160 0 0.229381443298969 -0.229381443298969 161 0 0.229381443298969 -0.229381443298969 162 0 0.229381443298969 -0.229381443298969 163 0 0.229381443298969 -0.229381443298969 164 0 0.229381443298969 -0.229381443298969 165 0 0.229381443298969 -0.229381443298969 166 0 0.229381443298969 -0.229381443298969 167 0 0.229381443298969 -0.229381443298969 168 0 0.229381443298969 -0.229381443298969 169 0 0.229381443298969 -0.229381443298969 170 0 0.229381443298969 -0.229381443298969 171 0 0.229381443298969 -0.229381443298969 172 0 0.229381443298969 -0.229381443298969 173 0 0.229381443298969 -0.229381443298969 174 0 0.229381443298969 -0.229381443298969 175 0 0.229381443298969 -0.229381443298969 176 0 0.229381443298969 -0.229381443298969 177 0 0.229381443298969 -0.229381443298969 178 1 0.229381443298969 0.770618556701031 179 0 0.229381443298969 -0.229381443298969 180 0 0.229381443298969 -0.229381443298969 181 0 0.229381443298969 -0.229381443298969 182 1 0.229381443298969 0.770618556701031 183 0 0.229381443298969 -0.229381443298969 184 1 0.229381443298969 0.770618556701031 185 1 0.229381443298969 0.770618556701031 186 1 0.229381443298969 0.770618556701031 187 1 0.229381443298969 0.770618556701031 188 0 0.229381443298969 -0.229381443298969 189 0 0.229381443298969 -0.229381443298969 190 0 0.229381443298969 -0.229381443298969 191 0 0.229381443298969 -0.229381443298969 192 0 0.229381443298969 -0.229381443298969 193 0 0.229381443298969 -0.229381443298969 194 0 0.229381443298969 -0.229381443298969 195 0 0.229381443298969 -0.229381443298969 196 1 0.229381443298969 0.770618556701031 197 1 0.229381443298969 0.770618556701031 198 1 0.229381443298969 0.770618556701031 199 1 0.229381443298969 0.770618556701031 200 1 0.229381443298969 0.770618556701031 201 1 0.229381443298969 0.770618556701031 202 1 0.229381443298969 0.770618556701031 203 1 0.229381443298969 0.770618556701031 204 1 0.229381443298969 0.770618556701031 205 1 0.229381443298969 0.770618556701031 206 1 0.229381443298969 0.770618556701031 207 1 0.229381443298969 0.770618556701031 208 1 0.229381443298969 0.770618556701031 209 1 0.229381443298969 0.770618556701031 210 1 0.229381443298969 0.770618556701031 211 0 0.229381443298969 -0.229381443298969 212 0 0.229381443298969 -0.229381443298969 213 0 0.229381443298969 -0.229381443298969 214 0 0.229381443298969 -0.229381443298969 215 0 0.229381443298969 -0.229381443298969 216 0 0.229381443298969 -0.229381443298969 217 0 0.229381443298969 -0.229381443298969 218 0 0.229381443298969 -0.229381443298969 219 0 0.229381443298969 -0.229381443298969 220 0 0.229381443298969 -0.229381443298969 221 0 0.229381443298969 -0.229381443298969 222 0 0.229381443298969 -0.229381443298969 223 0 0.229381443298969 -0.229381443298969 224 0 0.229381443298969 -0.229381443298969 225 0 0.229381443298969 -0.229381443298969 226 0 0.229381443298969 -0.229381443298969 227 0 0.229381443298969 -0.229381443298969 228 0 0.229381443298969 -0.229381443298969 229 0 0.229381443298969 -0.229381443298969 230 0 0.229381443298969 -0.229381443298969 231 0 0.229381443298969 -0.229381443298969 232 0 0.229381443298969 -0.229381443298969 233 0 0.229381443298969 -0.229381443298969 234 0 0.229381443298969 -0.229381443298969 235 0 0.229381443298969 -0.229381443298969 236 0 0.229381443298969 -0.229381443298969 237 0 0.229381443298969 -0.229381443298969 238 0 0.229381443298969 -0.229381443298969 239 0 0.229381443298969 -0.229381443298969 240 0 0.229381443298969 -0.229381443298969 241 0 0.229381443298969 -0.229381443298969 242 0 0.229381443298969 -0.229381443298969 243 0 0.229381443298969 -0.229381443298969 244 0 0.229381443298969 -0.229381443298969 245 0 0.229381443298969 -0.229381443298969 246 1 0.229381443298969 0.770618556701031 247 1 0.229381443298969 0.770618556701031 248 0 0.229381443298969 -0.229381443298969 249 1 0.229381443298969 0.770618556701031 250 1 0.229381443298969 0.770618556701031 251 0 0.229381443298969 -0.229381443298969 252 1 0.229381443298969 0.770618556701031 253 0 0.229381443298969 -0.229381443298969 254 0 0.229381443298969 -0.229381443298969 255 0 0.229381443298969 -0.229381443298969 256 0 0.229381443298969 -0.229381443298969 257 0 0.229381443298969 -0.229381443298969 258 0 0.229381443298969 -0.229381443298969 259 1 0.229381443298969 0.770618556701031 260 0 0.229381443298969 -0.229381443298969 261 1 0.229381443298969 0.770618556701031 262 1 0.229381443298969 0.770618556701031 263 0 0.229381443298969 -0.229381443298969 264 0 0.229381443298969 -0.229381443298969 265 1 0.229381443298969 0.770618556701031 266 0 0.229381443298969 -0.229381443298969 267 1 0.229381443298969 0.770618556701031 268 0 0.229381443298969 -0.229381443298969 269 1 0.229381443298969 0.770618556701031 270 0 0.229381443298969 -0.229381443298969 271 1 0.229381443298969 0.770618556701031 272 1 0.229381443298969 0.770618556701031 273 1 0.229381443298969 0.770618556701031 274 0 0.229381443298969 -0.229381443298969 275 0 0.229381443298969 -0.229381443298969 276 0 0.229381443298969 -0.229381443298969 277 0 0.229381443298969 -0.229381443298969 278 0 0.229381443298969 -0.229381443298969 279 1 0.229381443298969 0.770618556701031 280 0 0.229381443298969 -0.229381443298969 281 1 0.229381443298969 0.770618556701031 282 0 0.229381443298969 -0.229381443298969 283 0 0.229381443298969 -0.229381443298969 284 0 0.229381443298969 -0.229381443298969 285 0 0.229381443298969 -0.229381443298969 286 0 0.229381443298969 -0.229381443298969 287 1 0.229381443298969 0.770618556701031 288 0 0.229381443298969 -0.229381443298969 289 1 0.229381443298969 0.770618556701031 290 0 0.229381443298969 -0.229381443298969 291 1 0.229381443298969 0.770618556701031 292 0 0.229381443298969 -0.229381443298969 293 0 0.229381443298969 -0.229381443298969 294 0 0.229381443298969 -0.229381443298969 295 0 0.229381443298969 -0.229381443298969 296 1 0.229381443298969 0.770618556701031 297 0 0.229381443298969 -0.229381443298969 298 1 0.229381443298969 0.770618556701031 299 0 0.229381443298969 -0.229381443298969 300 0 0.229381443298969 -0.229381443298969 301 1 0.229381443298969 0.770618556701031 302 0 0.229381443298969 -0.229381443298969 303 0 0.229381443298969 -0.229381443298969 304 1 0.229381443298969 0.770618556701031 305 0 0.229381443298969 -0.229381443298969 306 0 0.229381443298969 -0.229381443298969 307 1 0.229381443298969 0.770618556701031 308 1 0.229381443298969 0.770618556701031 309 0 0.229381443298969 -0.229381443298969 310 1 0.229381443298969 0.770618556701031 311 1 0.229381443298969 0.770618556701031 312 0 0.229381443298969 -0.229381443298969 313 1 0.229381443298969 0.770618556701031 314 1 0.229381443298969 0.770618556701031 315 0 0.229381443298969 -0.229381443298969 316 0 0.229381443298969 -0.229381443298969 317 0 0.229381443298969 -0.229381443298969 318 0 0.229381443298969 -0.229381443298969 319 0 0.229381443298969 -0.229381443298969 320 0 0.229381443298969 -0.229381443298969 321 0 0.229381443298969 -0.229381443298969 322 0 0.229381443298969 -0.229381443298969 323 0 0.229381443298969 -0.229381443298969 324 1 0.229381443298969 0.770618556701031 325 0 0.229381443298969 -0.229381443298969 326 0 0.229381443298969 -0.229381443298969 327 1 0.229381443298969 0.770618556701031 328 1 0.229381443298969 0.770618556701031 329 0 0.229381443298969 -0.229381443298969 330 0 0.229381443298969 -0.229381443298969 331 0 0.229381443298969 -0.229381443298969 332 0 0.229381443298969 -0.229381443298969 333 0 0.229381443298969 -0.229381443298969 334 0 0.229381443298969 -0.229381443298969 335 0 0.229381443298969 -0.229381443298969 336 0 0.229381443298969 -0.229381443298969 337 0 0.229381443298969 -0.229381443298969 338 0 0.229381443298969 -0.229381443298969 339 0 0.229381443298969 -0.229381443298969 340 0 0.229381443298969 -0.229381443298969 341 0 0.229381443298969 -0.229381443298969 342 0 0.229381443298969 -0.229381443298969 343 0 0.229381443298969 -0.229381443298969 344 0 0.229381443298969 -0.229381443298969 345 0 0.229381443298969 -0.229381443298969 346 0 0.229381443298969 -0.229381443298969 347 0 0.229381443298969 -0.229381443298969 348 0 0.229381443298969 -0.229381443298969 349 0 0.229381443298969 -0.229381443298969 350 0 0.229381443298969 -0.229381443298969 351 0 0.229381443298969 -0.229381443298969 352 0 0.229381443298969 -0.229381443298969 353 0 0.229381443298969 -0.229381443298969 354 0 0.229381443298969 -0.229381443298969 355 0 0.229381443298969 -0.229381443298969 356 0 0.229381443298969 -0.229381443298969 357 0 0.229381443298969 -0.229381443298969 358 0 0.229381443298969 -0.229381443298969 359 0 0.229381443298969 -0.229381443298969 360 0 0.229381443298969 -0.229381443298969 361 0 0.229381443298969 -0.229381443298969 362 0 0.229381443298969 -0.229381443298969 363 0 0.229381443298969 -0.229381443298969 364 1 0.229381443298969 0.770618556701031 365 0 0.229381443298969 -0.229381443298969 366 0 0.229381443298969 -0.229381443298969 367 0 0.229381443298969 -0.229381443298969 368 0 0.229381443298969 -0.229381443298969 369 0 0.229381443298969 -0.229381443298969 370 0 0.229381443298969 -0.229381443298969 371 0 0.229381443298969 -0.229381443298969 372 0 0.229381443298969 -0.229381443298969 373 0 0.229381443298969 -0.229381443298969 374 0 0.229381443298969 -0.229381443298969 375 0 0.229381443298969 -0.229381443298969 376 0 0.229381443298969 -0.229381443298969 377 0 0.229381443298969 -0.229381443298969 378 0 0.229381443298969 -0.229381443298969 379 0 0.229381443298969 -0.229381443298969 380 0 0.229381443298969 -0.229381443298969 381 0 0.229381443298969 -0.229381443298969 382 0 0.229381443298969 -0.229381443298969 383 0 0.229381443298969 -0.229381443298969 384 0 0.229381443298969 -0.229381443298969 385 0 0.229381443298969 -0.229381443298969 386 0 0.229381443298969 -0.229381443298969 387 0 0.229381443298969 -0.229381443298969 388 0 0.229381443298969 -0.229381443298969 389 0 0.229381443298969 -0.229381443298969 390 0 0.229381443298969 -0.229381443298969 391 0 0.229381443298969 -0.229381443298969 392 0 0.229381443298969 -0.229381443298969 393 0 0.229381443298969 -0.229381443298969 394 0 0.229381443298969 -0.229381443298969 395 1 0.229381443298969 0.770618556701031 396 0 0.229381443298969 -0.229381443298969 397 0 0.229381443298969 -0.229381443298969 398 1 0.72093023255814 0.279069767441861 399 0 0.229381443298969 -0.229381443298969 400 1 0.229381443298969 0.770618556701031 401 0 0.229381443298969 -0.229381443298969 402 0 0.229381443298969 -0.229381443298969 403 0 0.229381443298969 -0.229381443298969 404 1 0.229381443298969 0.770618556701031 405 0 0.229381443298969 -0.229381443298969 406 0 0.229381443298969 -0.229381443298969 407 0 0.229381443298969 -0.229381443298969 408 0 0.229381443298969 -0.229381443298969 409 0 0.229381443298969 -0.229381443298969 410 0 0.229381443298969 -0.229381443298969 411 0 0.229381443298969 -0.229381443298969 412 1 0.229381443298969 0.770618556701031 413 1 0.229381443298969 0.770618556701031 414 1 0.229381443298969 0.770618556701031 415 0 0.229381443298969 -0.229381443298969 416 0 0.229381443298969 -0.229381443298969 417 0 0.229381443298969 -0.229381443298969 418 1 0.229381443298969 0.770618556701031 419 0 0.229381443298969 -0.229381443298969 420 0 0.229381443298969 -0.229381443298969 421 0 0.229381443298969 -0.229381443298969 422 0 0.229381443298969 -0.229381443298969 423 1 0.229381443298969 0.770618556701031 424 0 0.229381443298969 -0.229381443298969 425 0 0.229381443298969 -0.229381443298969 426 1 0.229381443298969 0.770618556701031 427 0 0.229381443298969 -0.229381443298969 428 0 0.229381443298969 -0.229381443298969 429 0 0.229381443298969 -0.229381443298969 430 0 0.229381443298969 -0.229381443298969 431 0 0.229381443298969 -0.229381443298969

Charts produced by software:

http://www.freestatistics.org/blog/date/2010/Dec/24/t1293202477ly00sdp1f712wpa/2zila1293202536.png (open in new window) http://www.freestatistics.org/blog/date/2010/Dec/24/t1293202477ly00sdp1f712wpa/2zila1293202536.ps (open in new window) http://www.freestatistics.org/blog/date/2010/Dec/24/t1293202477ly00sdp1f712wpa/3zila1293202536.png (open in new window) http://www.freestatistics.org/blog/date/2010/Dec/24/t1293202477ly00sdp1f712wpa/3zila1293202536.ps (open in new window) http://www.freestatistics.org/blog/date/2010/Dec/24/t1293202477ly00sdp1f712wpa/4ar3d1293202536.png (open in new window) http://www.freestatistics.org/blog/date/2010/Dec/24/t1293202477ly00sdp1f712wpa/4ar3d1293202536.ps (open in new window)

Parameters (Session):

par1 = 1 ; par2 = none ; par3 = 2 ; par4 = no ;

Parameters (R input):

par1 = 1 ; par2 = none ; par3 = 2 ; 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') }

Copyright

This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 License.

Software written by Ed van Stee & Patrick Wessa

Disclaimer

Information provided on this web site is provided "AS IS" without warranty of any kind, either express or implied, including, without limitation, warranties of merchantability, fitness for a particular purpose, and noninfringement. We use reasonable efforts to include accurate and timely information and periodically update the information, and software without notice. However, we make no warranties or representations as to the accuracy or completeness of such information (or software), and we assume no liability or responsibility for errors or omissions in the content of this web site, or any software bugs in online applications. Your use of this web site is AT YOUR OWN RISK. Under no circumstances and under no legal theory shall we be liable to you or any other person for any direct, indirect, special, incidental, exemplary, or consequential damages arising from your access to, or use of, this web site.

Privacy Policy

We may request personal information to be submitted to our servers in order to be able to:

• personalize online software applications according to your needs
• enforce strict security rules with respect to the data that you upload (e.g. statistical data)
• manage user sessions of online applications
• alert you about important changes or upgrades in resources or applications

We NEVER allow other companies to directly offer registered users information about their products and services. Banner references and hyperlinks of third parties NEVER contain any personal data of the visitor.

We do NOT sell, nor transmit by any means, personal information, nor statistical data series uploaded by you to third parties.

We carefully protect your data from loss, misuse, alteration, and destruction. However, at any time, and under any circumstance you are solely responsible for managing your passwords, and keeping them secret.

We store a unique ANONYMOUS USER ID in the form of a small 'Cookie' on your computer. This allows us to track your progress when using this website which is necessary to create state-dependent features. The cookie is used for NO OTHER PURPOSE. At any time you may opt to disallow cookies from this website - this will not affect other features of this website.

We examine cookies that are used by third-parties (banner and online ads) very closely: abuse from third-parties automatically results in termination of the advertising contract without refund. We have very good reason to believe that the cookies that are produced by third parties (banner ads) do NOT cause any privacy or security risk.

FreeStatistics.org is safe. There is no need to download any software to use the applications and services contained in this website. Hence, your system's security is not compromised by their use, and your personal data - other than data you submit in the account application form, and the user-agent information that is transmitted by your browser - is never transmitted to our servers.

As a general rule, we do not log on-line behavior of individuals (other than normal logging of webserver 'hits'). However, in cases of abuse, hacking, unauthorized access, Denial of Service attacks, illegal copying, hotlinking, non-compliance with international webstandards (such as robots.txt), or any other harmful behavior, our system engineers are empowered to log, track, identify, publish, and ban misbehaving individuals - even if this leads to ban entire blocks of IP addresses, or disclosing user's identity.

FreeStatistics.org is powered by