Repository of Reproducible Computations

Free Statistics

of Irreproducible Research!

Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_regression_trees1.wasp

Title produced by software

Recursive Partitioning (Regression Trees)

Date of computation

Mon, 09 Dec 2013 12:08:39 -0500

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Dec/09/t1386609225zio69q1hwxj9g1e.htm/, Retrieved Thu, 25 Apr 2024 16:16:13 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=231700, Retrieved Thu, 25 Apr 2024 16:16:13 +0000

QR Codes:

Paste this QR Code to cite your computation.

Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-     [Recursive Partitioning (Regression Trees)] [] [2013-12-05 18:35:02] [2c7dedbadf9652d0ab85aa087468ddf4]
- R PD    [Recursive Partitioning (Regression Trees)] [] [2013-12-09 17:08:39] [cb53f031a0ffd0579ef217f9e7726ef4] [Current]

Feedback Forum

Post a new message

Dataseries X:

Download CSV

Histogram

Boxplots

119.992 157.302 74.997 0.00784 0.00007 0.0037 0.00554 0.04374 0.426 0.02971 1
122.4 148.65 113.819 0.00968 0.00008 0.00465 0.00696 0.06134 0.626 0.04368 1
116.682 131.111 111.555 0.0105 0.00009 0.00544 0.00781 0.05233 0.482 0.0359 1
116.676 137.871 111.366 0.00997 0.00009 0.00502 0.00698 0.05492 0.517 0.03772 1
116.014 141.781 110.655 0.01284 0.00011 0.00655 0.00908 0.06425 0.584 0.04465 1
120.552 131.162 113.787 0.00968 0.00008 0.00463 0.0075 0.04701 0.456 0.03243 1
120.267 137.244 114.82 0.00333 0.00003 0.00155 0.00202 0.01608 0.14 0.01351 1
107.332 113.84 104.315 0.0029 0.00003 0.00144 0.00182 0.01567 0.134 0.01256 1
95.73 132.068 91.754 0.00551 0.00006 0.00293 0.00332 0.02093 0.191 0.01717 1
95.056 120.103 91.226 0.00532 0.00006 0.00268 0.00332 0.02838 0.255 0.02444 1
88.333 112.24 84.072 0.00505 0.00006 0.00254 0.0033 0.02143 0.197 0.01892 1
91.904 115.871 86.292 0.0054 0.00006 0.00281 0.00336 0.02752 0.249 0.02214 1
136.926 159.866 131.276 0.00293 0.00002 0.00118 0.00153 0.01259 0.112 0.0114 1
139.173 179.139 76.556 0.0039 0.00003 0.00165 0.00208 0.01642 0.154 0.01797 1
152.845 163.305 75.836 0.00294 0.00002 0.00121 0.00149 0.01828 0.158 0.01246 1
142.167 217.455 83.159 0.00369 0.00003 0.00157 0.00203 0.01503 0.126 0.01359 1
144.188 349.259 82.764 0.00544 0.00004 0.00211 0.00292 0.02047 0.192 0.02074 1
168.778 232.181 75.603 0.00718 0.00004 0.00284 0.00387 0.03327 0.348 0.0343 1
153.046 175.829 68.623 0.00742 0.00005 0.00364 0.00432 0.05517 0.542 0.05767 1
156.405 189.398 142.822 0.00768 0.00005 0.00372 0.00399 0.03995 0.348 0.0431 1
153.848 165.738 65.782 0.0084 0.00005 0.00428 0.0045 0.0381 0.328 0.04055 1
153.88 172.86 78.128 0.0048 0.00003 0.00232 0.00267 0.04137 0.37 0.04525 1
167.93 193.221 79.068 0.00442 0.00003 0.0022 0.00247 0.04351 0.377 0.04246 1
173.917 192.735 86.18 0.00476 0.00003 0.00221 0.00258 0.04192 0.364 0.03772 1
163.656 200.841 76.779 0.00742 0.00005 0.0038 0.0039 0.01659 0.164 0.01497 1
104.4 206.002 77.968 0.00633 0.00006 0.00316 0.00375 0.03767 0.381 0.0378 1
171.041 208.313 75.501 0.00455 0.00003 0.0025 0.00234 0.01966 0.186 0.01872 1
146.845 208.701 81.737 0.00496 0.00003 0.0025 0.00275 0.01919 0.198 0.01826 1
155.358 227.383 80.055 0.0031 0.00002 0.00159 0.00176 0.01718 0.161 0.01661 1
162.568 198.346 77.63 0.00502 0.00003 0.0028 0.00253 0.01791 0.168 0.01799 1
197.076 206.896 192.055 0.00289 0.00001 0.00166 0.00168 0.01098 0.097 0.00802 0
199.228 209.512 192.091 0.00241 0.00001 0.00134 0.00138 0.01015 0.089 0.00762 0
198.383 215.203 193.104 0.00212 0.00001 0.00113 0.00135 0.01263 0.111 0.00951 0
202.266 211.604 197.079 0.0018 0.000009 0.00093 0.00107 0.00954 0.085 0.00719 0
203.184 211.526 196.16 0.00178 0.000009 0.00094 0.00106 0.00958 0.085 0.00726 0
201.464 210.565 195.708 0.00198 0.00001 0.00105 0.00115 0.01194 0.107 0.00957 0
177.876 192.921 168.013 0.00411 0.00002 0.00233 0.00241 0.02126 0.189 0.01612 1
176.17 185.604 163.564 0.00369 0.00002 0.00205 0.00218 0.01851 0.168 0.01491 1
180.198 201.249 175.456 0.00284 0.00002 0.00153 0.00166 0.01444 0.131 0.0119 1
187.733 202.324 173.015 0.00316 0.00002 0.00168 0.00182 0.01663 0.151 0.01366 1
186.163 197.724 177.584 0.00298 0.00002 0.00165 0.00175 0.01495 0.135 0.01233 1
184.055 196.537 166.977 0.00258 0.00001 0.00134 0.00147 0.01463 0.132 0.01234 1
237.226 247.326 225.227 0.00298 0.00001 0.00169 0.00182 0.01752 0.164 0.01133 0
241.404 248.834 232.483 0.00281 0.00001 0.00157 0.00173 0.0176 0.154 0.01251 0
243.439 250.912 232.435 0.0021 0.000009 0.00109 0.00137 0.01419 0.126 0.01033 0
242.852 255.034 227.911 0.00225 0.000009 0.00117 0.00139 0.01494 0.134 0.01014 0
245.51 262.09 231.848 0.00235 0.00001 0.00127 0.00148 0.01608 0.141 0.01149 0
252.455 261.487 182.786 0.00185 0.000007 0.00092 0.00113 0.01152 0.103 0.0086 0
122.188 128.611 115.765 0.00524 0.00004 0.00169 0.00203 0.01613 0.143 0.01433 0
122.964 130.049 114.676 0.00428 0.00003 0.00124 0.00155 0.01681 0.154 0.014 0
124.445 135.069 117.495 0.00431 0.00003 0.00141 0.00167 0.02184 0.197 0.01685 0
126.344 134.231 112.773 0.00448 0.00004 0.00131 0.00169 0.02033 0.185 0.01614 0
128.001 138.052 122.08 0.00436 0.00003 0.00137 0.00166 0.02297 0.21 0.01677 0
129.336 139.867 118.604 0.0049 0.00004 0.00165 0.00183 0.02498 0.228 0.01947 0
108.807 134.656 102.874 0.00761 0.00007 0.00349 0.00486 0.02719 0.255 0.02067 1
109.86 126.358 104.437 0.00874 0.00008 0.00398 0.00539 0.03209 0.307 0.02454 1
110.417 131.067 103.37 0.00784 0.00007 0.00352 0.00514 0.03715 0.334 0.02802 1
117.274 129.916 110.402 0.00752 0.00006 0.00299 0.00469 0.02293 0.221 0.01948 1
116.879 131.897 108.153 0.00788 0.00007 0.00334 0.00493 0.02645 0.265 0.02137 1
114.847 271.314 104.68 0.00867 0.00008 0.00373 0.0052 0.03225 0.35 0.02519 1
209.144 237.494 109.379 0.00282 0.00001 0.00147 0.00152 0.01861 0.17 0.01382 0
223.365 238.987 98.664 0.00264 0.00001 0.00154 0.00151 0.01906 0.165 0.0134 0
222.236 231.345 205.495 0.00266 0.00001 0.00152 0.00144 0.01643 0.145 0.012 0
228.832 234.619 223.634 0.00296 0.00001 0.00175 0.00155 0.01644 0.145 0.01179 0
229.401 252.221 221.156 0.00205 0.000009 0.00114 0.00113 0.01457 0.129 0.01016 0
228.969 239.541 113.201 0.00238 0.00001 0.00136 0.0014 0.01745 0.154 0.01234 0
140.341 159.774 67.021 0.00817 0.00006 0.0043 0.0044 0.03198 0.313 0.02428 1
136.969 166.607 66.004 0.00923 0.00007 0.00507 0.00463 0.03111 0.308 0.02603 1
143.533 162.215 65.809 0.01101 0.00008 0.00647 0.00467 0.05384 0.478 0.03392 1
148.09 162.824 67.343 0.00762 0.00005 0.00467 0.00354 0.05428 0.497 0.03635 1
142.729 162.408 65.476 0.00831 0.00006 0.00469 0.00419 0.03485 0.365 0.02949 1
136.358 176.595 65.75 0.00971 0.00007 0.00534 0.00478 0.04978 0.483 0.03736 1
120.08 139.71 111.208 0.00405 0.00003 0.0018 0.0022 0.01706 0.152 0.01345 1
112.014 588.518 107.024 0.00533 0.00005 0.00268 0.00329 0.02448 0.226 0.01956 1
110.793 128.101 107.316 0.00494 0.00004 0.0026 0.00283 0.02442 0.216 0.01831 1
110.707 122.611 105.007 0.00516 0.00005 0.00277 0.00289 0.02215 0.206 0.01715 1
112.876 148.826 106.981 0.005 0.00004 0.0027 0.00289 0.03999 0.35 0.02704 1
110.568 125.394 106.821 0.00462 0.00004 0.00226 0.0028 0.02199 0.197 0.01636 1
95.385 102.145 90.264 0.00608 0.00006 0.00331 0.00332 0.03202 0.263 0.02455 1
100.77 115.697 85.545 0.01038 0.0001 0.00622 0.00576 0.03121 0.361 0.02139 1
96.106 108.664 84.51 0.00694 0.00007 0.00389 0.00415 0.04024 0.364 0.02876 1
95.605 107.715 87.549 0.00702 0.00007 0.00428 0.00371 0.03156 0.296 0.0219 1
100.96 110.019 95.628 0.00606 0.00006 0.00351 0.00348 0.02427 0.216 0.01751 1
98.804 102.305 87.804 0.00432 0.00004 0.00247 0.00258 0.02223 0.202 0.01552 1
176.858 205.56 75.344 0.00747 0.00004 0.00418 0.0042 0.04795 0.435 0.0351 1
180.978 200.125 155.495 0.00406 0.00002 0.0022 0.00244 0.03852 0.331 0.02877 1
178.222 202.45 141.047 0.00321 0.00002 0.00163 0.00194 0.03759 0.327 0.02784 1
176.281 227.381 125.61 0.0052 0.00003 0.00287 0.00312 0.06511 0.58 0.04683 1
173.898 211.35 74.677 0.00448 0.00003 0.00237 0.00254 0.06727 0.65 0.04802 1
179.711 225.93 144.878 0.00709 0.00004 0.00391 0.00419 0.04313 0.442 0.03455 1
166.605 206.008 78.032 0.00742 0.00004 0.00387 0.00453 0.0664 0.634 0.05114 1
151.955 163.335 147.226 0.00419 0.00003 0.00224 0.00227 0.07959 0.772 0.0569 1
148.272 164.989 142.299 0.00459 0.00003 0.0025 0.00256 0.0419 0.383 0.03051 1
152.125 161.469 76.596 0.00382 0.00003 0.00191 0.00226 0.05925 0.637 0.04398 1
157.821 172.975 68.401 0.00358 0.00002 0.00196 0.00196 0.03716 0.307 0.02764 1
157.447 163.267 149.605 0.00369 0.00002 0.00201 0.00197 0.03272 0.283 0.02571 1
159.116 168.913 144.811 0.00342 0.00002 0.00178 0.00184 0.03381 0.307 0.02809 1
125.036 143.946 116.187 0.0128 0.0001 0.00743 0.00623 0.03886 0.342 0.03088 1
125.791 140.557 96.206 0.01378 0.00011 0.00826 0.00655 0.04689 0.422 0.03908 1
126.512 141.756 99.77 0.01936 0.00015 0.01159 0.0099 0.06734 0.659 0.05783 1
125.641 141.068 116.346 0.03316 0.00026 0.02144 0.01522 0.09178 0.891 0.06196 1
128.451 150.449 75.632 0.01551 0.00012 0.00905 0.00909 0.0617 0.584 0.05174 1
139.224 586.567 66.157 0.03011 0.00022 0.01854 0.01628 0.09419 0.93 0.06023 1
150.258 154.609 75.349 0.00248 0.00002 0.00105 0.00136 0.01131 0.107 0.01009 1
154.003 160.267 128.621 0.00183 0.00001 0.00076 0.001 0.0103 0.094 0.00871 1
149.689 160.368 133.608 0.00257 0.00002 0.00116 0.00134 0.01346 0.126 0.01059 1
155.078 163.736 144.148 0.00168 0.00001 0.00068 0.00092 0.01064 0.097 0.00928 1
151.884 157.765 133.751 0.00258 0.00002 0.00115 0.00122 0.0145 0.137 0.01267 1
151.989 157.339 132.857 0.00174 0.00001 0.00075 0.00096 0.01024 0.093 0.00993 1
193.03 208.9 80.297 0.00766 0.00004 0.0045 0.00389 0.03044 0.275 0.02084 1
200.714 223.982 89.686 0.00621 0.00003 0.00371 0.00337 0.02286 0.207 0.01852 1
208.519 220.315 199.02 0.00609 0.00003 0.00368 0.00339 0.01761 0.155 0.01307 1
204.664 221.3 189.621 0.00841 0.00004 0.00502 0.00485 0.02378 0.21 0.01767 1
210.141 232.706 185.258 0.00534 0.00003 0.00321 0.0028 0.0168 0.149 0.01301 1
206.327 226.355 92.02 0.00495 0.00002 0.00302 0.00246 0.02105 0.209 0.01604 1
151.872 492.892 69.085 0.00856 0.00006 0.00404 0.00385 0.01843 0.235 0.01271 1
158.219 442.557 71.948 0.00476 0.00003 0.00214 0.00207 0.01458 0.148 0.01312 1
170.756 450.247 79.032 0.00555 0.00003 0.00244 0.00261 0.01725 0.175 0.01652 1
178.285 442.824 82.063 0.00462 0.00003 0.00157 0.00194 0.01279 0.129 0.01151 1
217.116 233.481 93.978 0.00404 0.00002 0.00127 0.00128 0.01299 0.124 0.01075 1
128.94 479.697 88.251 0.00581 0.00005 0.00241 0.00314 0.02008 0.221 0.01734 1
176.824 215.293 83.961 0.0046 0.00003 0.00209 0.00221 0.01169 0.117 0.01104 1
138.19 203.522 83.34 0.00704 0.00005 0.00406 0.00398 0.04479 0.441 0.0322 1
182.018 197.173 79.187 0.00842 0.00005 0.00506 0.00449 0.02503 0.231 0.01931 1
156.239 195.107 79.82 0.00694 0.00004 0.00403 0.00395 0.02343 0.224 0.0172 1
145.174 198.109 80.637 0.00733 0.00005 0.00414 0.00422 0.02362 0.233 0.01944 1
138.145 197.238 81.114 0.00544 0.00004 0.00294 0.00327 0.02791 0.246 0.02259 1
166.888 198.966 79.512 0.00638 0.00004 0.00368 0.00351 0.02857 0.257 0.02301 1
119.031 127.533 109.216 0.0044 0.00004 0.00214 0.00192 0.01033 0.098 0.00811 1
120.078 126.632 105.667 0.0027 0.00002 0.00116 0.00135 0.01022 0.09 0.00903 1
120.289 128.143 100.209 0.00492 0.00004 0.00269 0.00238 0.01412 0.125 0.01194 1
120.256 125.306 104.773 0.00407 0.00003 0.00224 0.00205 0.01516 0.138 0.0131 1
119.056 125.213 86.795 0.00346 0.00003 0.00169 0.0017 0.01201 0.106 0.00915 1
118.747 123.723 109.836 0.00331 0.00003 0.00168 0.00171 0.01043 0.099 0.00903 1
106.516 112.777 93.105 0.00589 0.00006 0.00291 0.00319 0.04932 0.441 0.03651 1
110.453 127.611 105.554 0.00494 0.00004 0.00244 0.00315 0.04128 0.379 0.03316 1
113.4 133.344 107.816 0.00451 0.00004 0.00219 0.00283 0.04879 0.431 0.0437 1
113.166 130.27 100.673 0.00502 0.00004 0.00257 0.00312 0.05279 0.476 0.04134 1
112.239 126.609 104.095 0.00472 0.00004 0.00238 0.0029 0.05643 0.517 0.04451 1
116.15 131.731 109.815 0.00381 0.00003 0.00181 0.00232 0.03026 0.267 0.0277 1
170.368 268.796 79.543 0.00571 0.00003 0.00232 0.00269 0.03273 0.281 0.02824 1
208.083 253.792 91.802 0.00757 0.00004 0.00428 0.00428 0.06725 0.571 0.04464 1
198.458 219.29 148.691 0.00376 0.00002 0.00182 0.00215 0.03527 0.297 0.0253 1
202.805 231.508 86.232 0.0037 0.00002 0.00189 0.00211 0.01997 0.18 0.01506 1
202.544 241.35 164.168 0.00254 0.00001 0.001 0.00133 0.02662 0.228 0.02006 1
223.361 263.872 87.638 0.00352 0.00002 0.00169 0.00188 0.02536 0.225 0.01909 1
169.774 191.759 151.451 0.01568 0.00009 0.00863 0.00946 0.08143 0.821 0.08808 1
183.52 216.814 161.34 0.01466 0.00008 0.00849 0.00819 0.0605 0.618 0.06359 1
188.62 216.302 165.982 0.01719 0.00009 0.00996 0.01027 0.07118 0.722 0.06824 1
202.632 565.74 177.258 0.01627 0.00008 0.00919 0.00963 0.0717 0.833 0.0646 1
186.695 211.961 149.442 0.01872 0.0001 0.01075 0.01154 0.0583 0.784 0.06259 1
192.818 224.429 168.793 0.03107 0.00016 0.018 0.01958 0.11908 1.302 0.13778 1
198.116 233.099 174.478 0.02714 0.00014 0.01568 0.01699 0.08684 1.018 0.08318 1
121.345 139.644 98.25 0.00684 0.00006 0.00388 0.00332 0.02534 0.241 0.02056 1
119.1 128.442 88.833 0.00692 0.00006 0.00393 0.003 0.02682 0.236 0.02018 1
117.87 127.349 95.654 0.00647 0.00005 0.00356 0.003 0.03087 0.276 0.02402 1
122.336 142.369 94.794 0.00727 0.00006 0.00415 0.00339 0.02293 0.223 0.01771 1
117.963 134.209 100.757 0.01813 0.00015 0.01117 0.00718 0.04912 0.438 0.02916 1
126.144 154.284 97.543 0.00975 0.00008 0.00593 0.00454 0.02852 0.266 0.02157 1
127.93 138.752 112.173 0.00605 0.00005 0.00321 0.00318 0.03235 0.339 0.03105 1
114.238 124.393 77.022 0.00581 0.00005 0.00299 0.00316 0.04009 0.406 0.04114 1
115.322 135.738 107.802 0.00619 0.00005 0.00352 0.00329 0.03273 0.325 0.02931 1
114.554 126.778 91.121 0.00651 0.00006 0.00366 0.0034 0.03658 0.369 0.03091 1
112.15 131.669 97.527 0.00519 0.00005 0.00291 0.00284 0.01756 0.155 0.01363 1
102.273 142.83 85.902 0.00907 0.00009 0.00493 0.00461 0.02814 0.272 0.02073 1
236.2 244.663 102.137 0.00277 0.00001 0.00154 0.00153 0.02448 0.217 0.01621 0
237.323 243.709 229.256 0.00303 0.00001 0.00173 0.00159 0.01242 0.116 0.00882 0
260.105 264.919 237.303 0.00339 0.00001 0.00205 0.00186 0.0203 0.197 0.01367 0
197.569 217.627 90.794 0.00803 0.00004 0.0049 0.00448 0.02177 0.189 0.01439 0
240.301 245.135 219.783 0.00517 0.00002 0.00316 0.00283 0.02018 0.212 0.01344 0
244.99 272.21 239.17 0.00451 0.00002 0.00279 0.00237 0.01897 0.181 0.01255 0
112.547 133.374 105.715 0.00355 0.00003 0.00166 0.0019 0.01358 0.129 0.0114 0
110.739 113.597 100.139 0.00356 0.00003 0.0017 0.002 0.01484 0.133 0.01285 0
113.715 116.443 96.913 0.00349 0.00003 0.00171 0.00203 0.01472 0.133 0.01148 0
117.004 144.466 99.923 0.00353 0.00003 0.00176 0.00218 0.01657 0.145 0.01318 0
115.38 123.109 108.634 0.00332 0.00003 0.0016 0.00199 0.01503 0.137 0.01133 0
116.388 129.038 108.97 0.00346 0.00003 0.00169 0.00213 0.01725 0.155 0.01331 0
151.737 190.204 129.859 0.00314 0.00002 0.00135 0.00162 0.01469 0.132 0.0123 1
148.79 158.359 138.99 0.00309 0.00002 0.00152 0.00186 0.01574 0.142 0.01309 1
148.143 155.982 135.041 0.00392 0.00003 0.00204 0.00231 0.0145 0.131 0.01263 1
150.44 163.441 144.736 0.00396 0.00003 0.00206 0.00233 0.02551 0.237 0.02148 1
148.462 161.078 141.998 0.00397 0.00003 0.00202 0.00235 0.01831 0.163 0.01559 1
149.818 163.417 144.786 0.00336 0.00002 0.00174 0.00198 0.02145 0.198 0.01666 1
117.226 123.925 106.656 0.00417 0.00004 0.00186 0.0027 0.01909 0.171 0.01949 0
116.848 217.552 99.503 0.00531 0.00005 0.0026 0.00346 0.01795 0.163 0.01756 0
116.286 177.291 96.983 0.00314 0.00003 0.00134 0.00192 0.01564 0.136 0.01691 0
116.556 592.03 86.228 0.00496 0.00004 0.00254 0.00263 0.0166 0.154 0.01491 0
116.342 581.289 94.246 0.00267 0.00002 0.00115 0.00148 0.013 0.117 0.01144 0
114.563 119.167 86.647 0.00327 0.00003 0.00146 0.00184 0.01185 0.106 0.01095 0
201.774 262.707 78.228 0.00694 0.00003 0.00412 0.00396 0.02574 0.255 0.01758 0
174.188 230.978 94.261 0.00459 0.00003 0.00263 0.00259 0.04087 0.405 0.02745 0
209.516 253.017 89.488 0.00564 0.00003 0.00331 0.00292 0.02751 0.263 0.01879 0
174.688 240.005 74.287 0.0136 0.00008 0.00624 0.00564 0.02308 0.256 0.01667 0
198.764 396.961 74.904 0.0074 0.00004 0.0037 0.0039 0.02296 0.241 0.01588 0
214.289 260.277 77.973 0.00567 0.00003 0.00295 0.00317 0.01884 0.19 0.01373 0

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	17 seconds
R Server	'George Udny Yule' @ yule.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 17 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=231700&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]17 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=231700&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231700&T=0

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	17 seconds
R Server	'George Udny Yule' @ yule.wessa.net

Goodness of Fit
Correlation	0.9362
R-squared	0.8765
RMSE	0.0059

\begin{tabular}{lllllllll}
\hline
Goodness of Fit \tabularnewline
Correlation & 0.9362 \tabularnewline
R-squared & 0.8765 \tabularnewline
RMSE & 0.0059 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=231700&T=1

[TABLE]
[ROW][C]Goodness of Fit[/C][/ROW]
[ROW][C]Correlation[/C][C]0.9362[/C][/ROW]
[ROW][C]R-squared[/C][C]0.8765[/C][/ROW]
[ROW][C]RMSE[/C][C]0.0059[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=231700&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231700&T=1

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Goodness of Fit
Correlation	0.9362
R-squared	0.8765
RMSE	0.0059

Actuals, Predictions, and Residuals
#	Actuals	Forecasts	Residuals
1	0.02971	0.0364047826086957	-0.00669478260869565
2	0.04368	0.0503427272727273	-0.00666272727272727
3	0.0359	0.0364047826086957	-0.000504782608695652
4	0.03772	0.0364047826086957	0.00131521739130434
5	0.04465	0.0503427272727273	-0.00569272727272727
6	0.03243	0.0364047826086957	-0.00397478260869565
7	0.01351	0.0136246666666667	-0.000114666666666667
8	0.01256	0.0123233333333333	0.000236666666666666
9	0.01717	0.0178714285714286	-0.000701428571428572
10	0.02444	0.0234325	0.0010075
11	0.01892	0.0178714285714286	0.00104857142857143
12	0.02214	0.0234325	-0.0012925
13	0.0114	0.010566	0.000834
14	0.01797	0.0148475	0.0031225
15	0.01246	0.0148475	-0.0023875
16	0.01359	0.0148475	-0.0012575
17	0.02074	0.0178714285714286	0.00286857142857143
18	0.0343	0.0306694736842105	0.00363052631578947
19	0.05767	0.0503427272727273	0.00732727272727273
20	0.0431	0.0306694736842105	0.0124305263157895
21	0.04055	0.0306694736842105	0.00988052631578948
22	0.04525	0.0364047826086957	0.00884521739130435
23	0.04246	0.0364047826086957	0.00605521739130434
24	0.03772	0.0306694736842105	0.00705052631578947
25	0.01497	0.0148475	0.000122500000000001
26	0.0378	0.0364047826086957	0.00139521739130435
27	0.01872	0.0178714285714286	0.000848571428571428
28	0.01826	0.0178714285714286	0.000388571428571426
29	0.01661	0.0148475	0.0017625
30	0.01799	0.0148475	0.0031425
31	0.00802	0.00843454545454545	-0.000414545454545456
32	0.00762	0.00843454545454545	-0.000814545454545455
33	0.00951	0.010566	-0.001056
34	0.00719	0.00843454545454545	-0.00124454545454545
35	0.00726	0.00843454545454545	-0.00117454545454546
36	0.00957	0.010566	-0.000996
37	0.01612	0.0157881818181818	0.00033181818181818
38	0.01491	0.0136246666666667	0.00128533333333333
39	0.0119	0.0123233333333333	-0.000423333333333333
40	0.01366	0.0136246666666667	3.53333333333334e-05
41	0.01233	0.0123233333333333	6.66666666666697e-06
42	0.01234	0.0123233333333333	1.66666666666666e-05
43	0.01133	0.01149625	-0.00016625
44	0.01251	0.01149625	0.00101375
45	0.01033	0.010566	-0.000236
46	0.01014	0.01149625	-0.00135625
47	0.01149	0.01149625	-6.24999999999931e-06
48	0.0086	0.00843454545454545	0.000165454545454545
49	0.01433	0.0136246666666667	0.000705333333333334
50	0.014	0.0136246666666667	0.000375333333333333
51	0.01685	0.0178714285714286	-0.00102142857142857
52	0.01614	0.0178714285714286	-0.00173142857142857
53	0.01677	0.0178714285714286	-0.00110142857142857
54	0.01947	0.0198690909090909	-0.000399090909090908
55	0.02067	0.0198690909090909	0.000800909090909092
56	0.02454	0.0234325	0.0011075
57	0.02802	0.0306694736842105	-0.00264947368421053
58	0.01948	0.0178714285714286	0.00160857142857143
59	0.02137	0.0198690909090909	0.00150090909090909
60	0.02519	0.0234325	0.0017575
61	0.01382	0.0136246666666667	0.000195333333333334
62	0.0134	0.0148475	-0.0014475
63	0.012	0.01149625	0.000503750000000001
64	0.01179	0.01149625	0.000293750000000001
65	0.01016	0.01149625	-0.00133625
66	0.01234	0.0136246666666667	-0.00128466666666667
67	0.02428	0.0234325	0.000847500000000001
68	0.02603	0.0234325	0.0025975
69	0.03392	0.0364047826086957	-0.00248478260869565
70	0.03635	0.0364047826086957	-5.47826086956527e-05
71	0.02949	0.0306694736842105	-0.00117947368421053
72	0.03736	0.0364047826086957	0.000955217391304344
73	0.01345	0.0136246666666667	-0.000174666666666667
74	0.01956	0.0178714285714286	0.00168857142857143
75	0.01831	0.0178714285714286	0.000438571428571427
76	0.01715	0.0178714285714286	-0.000721428571428574
77	0.02704	0.0306694736842105	-0.00362947368421053
78	0.01636	0.0178714285714286	-0.00151142857142857
79	0.02455	0.0234325	0.0011175
80	0.02139	0.0234325	-0.0020425
81	0.02876	0.0306694736842105	-0.00190947368421053
82	0.0219	0.0234325	-0.0015325
83	0.01751	0.0178714285714286	-0.000361428571428572
84	0.01552	0.0178714285714286	-0.00235142857142857
85	0.0351	0.0364047826086957	-0.00130478260869565
86	0.02877	0.0306694736842105	-0.00189947368421053
87	0.02784	0.0306694736842105	-0.00282947368421053
88	0.04683	0.0503427272727273	-0.00351272727272727
89	0.04802	0.0503427272727273	-0.00232272727272727
90	0.03455	0.0364047826086957	-0.00185478260869566
91	0.05114	0.0503427272727273	0.00079727272727273
92	0.0569	0.0759511111111111	-0.0190511111111111
93	0.03051	0.0364047826086957	-0.00589478260869565
94	0.04398	0.0503427272727273	-0.00636272727272727
95	0.02764	0.0306694736842105	-0.00302947368421053
96	0.02571	0.0306694736842105	-0.00495947368421053
97	0.02809	0.0306694736842105	-0.00257947368421053
98	0.03088	0.0306694736842105	0.000210526315789474
99	0.03908	0.0364047826086957	0.00267521739130434
100	0.05783	0.0503427272727273	0.00748727272727273
101	0.06196	0.0759511111111111	-0.0139911111111111
102	0.05174	0.0503427272727273	0.00139727272727273
103	0.06023	0.0759511111111111	-0.0157211111111111
104	0.01009	0.010566	-0.000476000000000001
105	0.00871	0.00843454545454545	0.000275454545454546
106	0.01059	0.010566	2.39999999999997e-05
107	0.00928	0.00843454545454545	0.000845454545454545
108	0.01267	0.0123233333333333	0.000346666666666667
109	0.00993	0.00843454545454545	0.00149545454545454
110	0.02084	0.0234325	-0.0025925
111	0.01852	0.0157881818181818	0.00273181818181818
112	0.01307	0.0136246666666667	-0.000554666666666667
113	0.01767	0.0157881818181818	0.00188181818181818
114	0.01301	0.0136246666666667	-0.000614666666666666
115	0.01604	0.0157881818181818	0.000251818181818179
116	0.01271	0.0148475	-0.0021375
117	0.01312	0.0148475	-0.0017275
118	0.01652	0.0148475	0.0016725
119	0.01151	0.010566	0.000943999999999999
120	0.01075	0.010566	0.000183999999999998
121	0.01734	0.0178714285714286	-0.000531428571428572
122	0.01104	0.010566	0.000473999999999999
123	0.0322	0.0364047826086957	-0.00420478260869565
124	0.01931	0.0198690909090909	-0.000559090909090908
125	0.0172	0.0178714285714286	-0.000671428571428573
126	0.01944	0.0178714285714286	0.00156857142857143
127	0.02259	0.0234325	-0.000842499999999999
128	0.02301	0.0234325	-0.000422499999999999
129	0.00811	0.00843454545454545	-0.000324545454545456
130	0.00903	0.00843454545454545	0.000595454545454545
131	0.01194	0.010566	0.001374
132	0.0131	0.0136246666666667	-0.000524666666666666
133	0.00915	0.010566	-0.001416
134	0.00903	0.00843454545454545	0.000595454545454545
135	0.03651	0.0364047826086957	0.000105217391304348
136	0.03316	0.0364047826086957	-0.00324478260869565
137	0.0437	0.0364047826086957	0.00729521739130435
138	0.04134	0.0364047826086957	0.00493521739130435
139	0.04451	0.0364047826086957	0.00810521739130435
140	0.0277	0.0234325	0.0042675
141	0.02824	0.0306694736842105	-0.00242947368421053
142	0.04464	0.0503427272727273	-0.00570272727272727
143	0.0253	0.0306694736842105	-0.00536947368421053
144	0.01506	0.0157881818181818	-0.000728181818181819
145	0.02006	0.0198690909090909	0.000190909090909092
146	0.01909	0.0198690909090909	-0.00077909090909091
147	0.08808	0.0759511111111111	0.0121288888888889
148	0.06359	0.0503427272727273	0.0132472727272727
149	0.06824	0.0759511111111111	-0.00771111111111111
150	0.0646	0.0759511111111111	-0.0113511111111111
151	0.06259	0.0759511111111111	-0.0133611111111111
152	0.13778	0.0759511111111111	0.0618288888888889
153	0.08318	0.0759511111111111	0.0072288888888889
154	0.02056	0.0198690909090909	0.000690909090909089
155	0.02018	0.0198690909090909	0.000310909090909091
156	0.02402	0.0234325	0.000587500000000001
157	0.01771	0.0178714285714286	-0.000161428571428573
158	0.02916	0.0364047826086957	-0.00724478260869565
159	0.02157	0.0234325	-0.0018625
160	0.03105	0.0306694736842105	0.000380526315789474
161	0.04114	0.0364047826086957	0.00473521739130435
162	0.02931	0.0306694736842105	-0.00135947368421053
163	0.03091	0.0306694736842105	0.000240526315789472
164	0.01363	0.0148475	-0.0012175
165	0.02073	0.0234325	-0.0027025
166	0.01621	0.0157881818181818	0.000421818181818179
167	0.00882	0.010566	-0.001746
168	0.01367	0.0157881818181818	-0.00211818181818182
169	0.01439	0.0157881818181818	-0.00139818181818182
170	0.01344	0.0157881818181818	-0.00234818181818182
171	0.01255	0.01149625	0.00105375
172	0.0114	0.010566	0.000834
173	0.01285	0.0123233333333333	0.000526666666666667
174	0.01148	0.0148475	-0.0033675
175	0.01318	0.0136246666666667	-0.000444666666666666
176	0.01133	0.0123233333333333	-0.000993333333333334
177	0.01331	0.0136246666666667	-0.000314666666666666
178	0.0123	0.0123233333333333	-2.33333333333335e-05
179	0.01309	0.0136246666666667	-0.000534666666666668
180	0.01263	0.0123233333333333	0.000306666666666667
181	0.02148	0.0198690909090909	0.00161090909090909
182	0.01559	0.0136246666666667	0.00196533333333333
183	0.01666	0.0178714285714286	-0.00121142857142857
184	0.01949	0.0178714285714286	0.00161857142857143
185	0.01756	0.0148475	0.0027125
186	0.01691	0.0148475	0.0020625
187	0.01491	0.0148475	6.25000000000001e-05
188	0.01144	0.010566	0.000874
189	0.01095	0.010566	0.000383999999999999
190	0.01758	0.0198690909090909	-0.00228909090909091
191	0.02745	0.0364047826086957	-0.00895478260869565
192	0.01879	0.0198690909090909	-0.00107909090909091
193	0.01667	0.0157881818181818	0.000881818181818182
194	0.01588	0.0157881818181818	9.1818181818179e-05
195	0.01373	0.0148475	-0.0011175

\begin{tabular}{lllllllll}
\hline
Actuals, Predictions, and Residuals \tabularnewline
# & Actuals & Forecasts & Residuals \tabularnewline
1 & 0.02971 & 0.0364047826086957 & -0.00669478260869565 \tabularnewline
2 & 0.04368 & 0.0503427272727273 & -0.00666272727272727 \tabularnewline
3 & 0.0359 & 0.0364047826086957 & -0.000504782608695652 \tabularnewline
4 & 0.03772 & 0.0364047826086957 & 0.00131521739130434 \tabularnewline
5 & 0.04465 & 0.0503427272727273 & -0.00569272727272727 \tabularnewline
6 & 0.03243 & 0.0364047826086957 & -0.00397478260869565 \tabularnewline
7 & 0.01351 & 0.0136246666666667 & -0.000114666666666667 \tabularnewline
8 & 0.01256 & 0.0123233333333333 & 0.000236666666666666 \tabularnewline
9 & 0.01717 & 0.0178714285714286 & -0.000701428571428572 \tabularnewline
10 & 0.02444 & 0.0234325 & 0.0010075 \tabularnewline
11 & 0.01892 & 0.0178714285714286 & 0.00104857142857143 \tabularnewline
12 & 0.02214 & 0.0234325 & -0.0012925 \tabularnewline
13 & 0.0114 & 0.010566 & 0.000834 \tabularnewline
14 & 0.01797 & 0.0148475 & 0.0031225 \tabularnewline
15 & 0.01246 & 0.0148475 & -0.0023875 \tabularnewline
16 & 0.01359 & 0.0148475 & -0.0012575 \tabularnewline
17 & 0.02074 & 0.0178714285714286 & 0.00286857142857143 \tabularnewline
18 & 0.0343 & 0.0306694736842105 & 0.00363052631578947 \tabularnewline
19 & 0.05767 & 0.0503427272727273 & 0.00732727272727273 \tabularnewline
20 & 0.0431 & 0.0306694736842105 & 0.0124305263157895 \tabularnewline
21 & 0.04055 & 0.0306694736842105 & 0.00988052631578948 \tabularnewline
22 & 0.04525 & 0.0364047826086957 & 0.00884521739130435 \tabularnewline
23 & 0.04246 & 0.0364047826086957 & 0.00605521739130434 \tabularnewline
24 & 0.03772 & 0.0306694736842105 & 0.00705052631578947 \tabularnewline
25 & 0.01497 & 0.0148475 & 0.000122500000000001 \tabularnewline
26 & 0.0378 & 0.0364047826086957 & 0.00139521739130435 \tabularnewline
27 & 0.01872 & 0.0178714285714286 & 0.000848571428571428 \tabularnewline
28 & 0.01826 & 0.0178714285714286 & 0.000388571428571426 \tabularnewline
29 & 0.01661 & 0.0148475 & 0.0017625 \tabularnewline
30 & 0.01799 & 0.0148475 & 0.0031425 \tabularnewline
31 & 0.00802 & 0.00843454545454545 & -0.000414545454545456 \tabularnewline
32 & 0.00762 & 0.00843454545454545 & -0.000814545454545455 \tabularnewline
33 & 0.00951 & 0.010566 & -0.001056 \tabularnewline
34 & 0.00719 & 0.00843454545454545 & -0.00124454545454545 \tabularnewline
35 & 0.00726 & 0.00843454545454545 & -0.00117454545454546 \tabularnewline
36 & 0.00957 & 0.010566 & -0.000996 \tabularnewline
37 & 0.01612 & 0.0157881818181818 & 0.00033181818181818 \tabularnewline
38 & 0.01491 & 0.0136246666666667 & 0.00128533333333333 \tabularnewline
39 & 0.0119 & 0.0123233333333333 & -0.000423333333333333 \tabularnewline
40 & 0.01366 & 0.0136246666666667 & 3.53333333333334e-05 \tabularnewline
41 & 0.01233 & 0.0123233333333333 & 6.66666666666697e-06 \tabularnewline
42 & 0.01234 & 0.0123233333333333 & 1.66666666666666e-05 \tabularnewline
43 & 0.01133 & 0.01149625 & -0.00016625 \tabularnewline
44 & 0.01251 & 0.01149625 & 0.00101375 \tabularnewline
45 & 0.01033 & 0.010566 & -0.000236 \tabularnewline
46 & 0.01014 & 0.01149625 & -0.00135625 \tabularnewline
47 & 0.01149 & 0.01149625 & -6.24999999999931e-06 \tabularnewline
48 & 0.0086 & 0.00843454545454545 & 0.000165454545454545 \tabularnewline
49 & 0.01433 & 0.0136246666666667 & 0.000705333333333334 \tabularnewline
50 & 0.014 & 0.0136246666666667 & 0.000375333333333333 \tabularnewline
51 & 0.01685 & 0.0178714285714286 & -0.00102142857142857 \tabularnewline
52 & 0.01614 & 0.0178714285714286 & -0.00173142857142857 \tabularnewline
53 & 0.01677 & 0.0178714285714286 & -0.00110142857142857 \tabularnewline
54 & 0.01947 & 0.0198690909090909 & -0.000399090909090908 \tabularnewline
55 & 0.02067 & 0.0198690909090909 & 0.000800909090909092 \tabularnewline
56 & 0.02454 & 0.0234325 & 0.0011075 \tabularnewline
57 & 0.02802 & 0.0306694736842105 & -0.00264947368421053 \tabularnewline
58 & 0.01948 & 0.0178714285714286 & 0.00160857142857143 \tabularnewline
59 & 0.02137 & 0.0198690909090909 & 0.00150090909090909 \tabularnewline
60 & 0.02519 & 0.0234325 & 0.0017575 \tabularnewline
61 & 0.01382 & 0.0136246666666667 & 0.000195333333333334 \tabularnewline
62 & 0.0134 & 0.0148475 & -0.0014475 \tabularnewline
63 & 0.012 & 0.01149625 & 0.000503750000000001 \tabularnewline
64 & 0.01179 & 0.01149625 & 0.000293750000000001 \tabularnewline
65 & 0.01016 & 0.01149625 & -0.00133625 \tabularnewline
66 & 0.01234 & 0.0136246666666667 & -0.00128466666666667 \tabularnewline
67 & 0.02428 & 0.0234325 & 0.000847500000000001 \tabularnewline
68 & 0.02603 & 0.0234325 & 0.0025975 \tabularnewline
69 & 0.03392 & 0.0364047826086957 & -0.00248478260869565 \tabularnewline
70 & 0.03635 & 0.0364047826086957 & -5.47826086956527e-05 \tabularnewline
71 & 0.02949 & 0.0306694736842105 & -0.00117947368421053 \tabularnewline
72 & 0.03736 & 0.0364047826086957 & 0.000955217391304344 \tabularnewline
73 & 0.01345 & 0.0136246666666667 & -0.000174666666666667 \tabularnewline
74 & 0.01956 & 0.0178714285714286 & 0.00168857142857143 \tabularnewline
75 & 0.01831 & 0.0178714285714286 & 0.000438571428571427 \tabularnewline
76 & 0.01715 & 0.0178714285714286 & -0.000721428571428574 \tabularnewline
77 & 0.02704 & 0.0306694736842105 & -0.00362947368421053 \tabularnewline
78 & 0.01636 & 0.0178714285714286 & -0.00151142857142857 \tabularnewline
79 & 0.02455 & 0.0234325 & 0.0011175 \tabularnewline
80 & 0.02139 & 0.0234325 & -0.0020425 \tabularnewline
81 & 0.02876 & 0.0306694736842105 & -0.00190947368421053 \tabularnewline
82 & 0.0219 & 0.0234325 & -0.0015325 \tabularnewline
83 & 0.01751 & 0.0178714285714286 & -0.000361428571428572 \tabularnewline
84 & 0.01552 & 0.0178714285714286 & -0.00235142857142857 \tabularnewline
85 & 0.0351 & 0.0364047826086957 & -0.00130478260869565 \tabularnewline
86 & 0.02877 & 0.0306694736842105 & -0.00189947368421053 \tabularnewline
87 & 0.02784 & 0.0306694736842105 & -0.00282947368421053 \tabularnewline
88 & 0.04683 & 0.0503427272727273 & -0.00351272727272727 \tabularnewline
89 & 0.04802 & 0.0503427272727273 & -0.00232272727272727 \tabularnewline
90 & 0.03455 & 0.0364047826086957 & -0.00185478260869566 \tabularnewline
91 & 0.05114 & 0.0503427272727273 & 0.00079727272727273 \tabularnewline
92 & 0.0569 & 0.0759511111111111 & -0.0190511111111111 \tabularnewline
93 & 0.03051 & 0.0364047826086957 & -0.00589478260869565 \tabularnewline
94 & 0.04398 & 0.0503427272727273 & -0.00636272727272727 \tabularnewline
95 & 0.02764 & 0.0306694736842105 & -0.00302947368421053 \tabularnewline
96 & 0.02571 & 0.0306694736842105 & -0.00495947368421053 \tabularnewline
97 & 0.02809 & 0.0306694736842105 & -0.00257947368421053 \tabularnewline
98 & 0.03088 & 0.0306694736842105 & 0.000210526315789474 \tabularnewline
99 & 0.03908 & 0.0364047826086957 & 0.00267521739130434 \tabularnewline
100 & 0.05783 & 0.0503427272727273 & 0.00748727272727273 \tabularnewline
101 & 0.06196 & 0.0759511111111111 & -0.0139911111111111 \tabularnewline
102 & 0.05174 & 0.0503427272727273 & 0.00139727272727273 \tabularnewline
103 & 0.06023 & 0.0759511111111111 & -0.0157211111111111 \tabularnewline
104 & 0.01009 & 0.010566 & -0.000476000000000001 \tabularnewline
105 & 0.00871 & 0.00843454545454545 & 0.000275454545454546 \tabularnewline
106 & 0.01059 & 0.010566 & 2.39999999999997e-05 \tabularnewline
107 & 0.00928 & 0.00843454545454545 & 0.000845454545454545 \tabularnewline
108 & 0.01267 & 0.0123233333333333 & 0.000346666666666667 \tabularnewline
109 & 0.00993 & 0.00843454545454545 & 0.00149545454545454 \tabularnewline
110 & 0.02084 & 0.0234325 & -0.0025925 \tabularnewline
111 & 0.01852 & 0.0157881818181818 & 0.00273181818181818 \tabularnewline
112 & 0.01307 & 0.0136246666666667 & -0.000554666666666667 \tabularnewline
113 & 0.01767 & 0.0157881818181818 & 0.00188181818181818 \tabularnewline
114 & 0.01301 & 0.0136246666666667 & -0.000614666666666666 \tabularnewline
115 & 0.01604 & 0.0157881818181818 & 0.000251818181818179 \tabularnewline
116 & 0.01271 & 0.0148475 & -0.0021375 \tabularnewline
117 & 0.01312 & 0.0148475 & -0.0017275 \tabularnewline
118 & 0.01652 & 0.0148475 & 0.0016725 \tabularnewline
119 & 0.01151 & 0.010566 & 0.000943999999999999 \tabularnewline
120 & 0.01075 & 0.010566 & 0.000183999999999998 \tabularnewline
121 & 0.01734 & 0.0178714285714286 & -0.000531428571428572 \tabularnewline
122 & 0.01104 & 0.010566 & 0.000473999999999999 \tabularnewline
123 & 0.0322 & 0.0364047826086957 & -0.00420478260869565 \tabularnewline
124 & 0.01931 & 0.0198690909090909 & -0.000559090909090908 \tabularnewline
125 & 0.0172 & 0.0178714285714286 & -0.000671428571428573 \tabularnewline
126 & 0.01944 & 0.0178714285714286 & 0.00156857142857143 \tabularnewline
127 & 0.02259 & 0.0234325 & -0.000842499999999999 \tabularnewline
128 & 0.02301 & 0.0234325 & -0.000422499999999999 \tabularnewline
129 & 0.00811 & 0.00843454545454545 & -0.000324545454545456 \tabularnewline
130 & 0.00903 & 0.00843454545454545 & 0.000595454545454545 \tabularnewline
131 & 0.01194 & 0.010566 & 0.001374 \tabularnewline
132 & 0.0131 & 0.0136246666666667 & -0.000524666666666666 \tabularnewline
133 & 0.00915 & 0.010566 & -0.001416 \tabularnewline
134 & 0.00903 & 0.00843454545454545 & 0.000595454545454545 \tabularnewline
135 & 0.03651 & 0.0364047826086957 & 0.000105217391304348 \tabularnewline
136 & 0.03316 & 0.0364047826086957 & -0.00324478260869565 \tabularnewline
137 & 0.0437 & 0.0364047826086957 & 0.00729521739130435 \tabularnewline
138 & 0.04134 & 0.0364047826086957 & 0.00493521739130435 \tabularnewline
139 & 0.04451 & 0.0364047826086957 & 0.00810521739130435 \tabularnewline
140 & 0.0277 & 0.0234325 & 0.0042675 \tabularnewline
141 & 0.02824 & 0.0306694736842105 & -0.00242947368421053 \tabularnewline
142 & 0.04464 & 0.0503427272727273 & -0.00570272727272727 \tabularnewline
143 & 0.0253 & 0.0306694736842105 & -0.00536947368421053 \tabularnewline
144 & 0.01506 & 0.0157881818181818 & -0.000728181818181819 \tabularnewline
145 & 0.02006 & 0.0198690909090909 & 0.000190909090909092 \tabularnewline
146 & 0.01909 & 0.0198690909090909 & -0.00077909090909091 \tabularnewline
147 & 0.08808 & 0.0759511111111111 & 0.0121288888888889 \tabularnewline
148 & 0.06359 & 0.0503427272727273 & 0.0132472727272727 \tabularnewline
149 & 0.06824 & 0.0759511111111111 & -0.00771111111111111 \tabularnewline
150 & 0.0646 & 0.0759511111111111 & -0.0113511111111111 \tabularnewline
151 & 0.06259 & 0.0759511111111111 & -0.0133611111111111 \tabularnewline
152 & 0.13778 & 0.0759511111111111 & 0.0618288888888889 \tabularnewline
153 & 0.08318 & 0.0759511111111111 & 0.0072288888888889 \tabularnewline
154 & 0.02056 & 0.0198690909090909 & 0.000690909090909089 \tabularnewline
155 & 0.02018 & 0.0198690909090909 & 0.000310909090909091 \tabularnewline
156 & 0.02402 & 0.0234325 & 0.000587500000000001 \tabularnewline
157 & 0.01771 & 0.0178714285714286 & -0.000161428571428573 \tabularnewline
158 & 0.02916 & 0.0364047826086957 & -0.00724478260869565 \tabularnewline
159 & 0.02157 & 0.0234325 & -0.0018625 \tabularnewline
160 & 0.03105 & 0.0306694736842105 & 0.000380526315789474 \tabularnewline
161 & 0.04114 & 0.0364047826086957 & 0.00473521739130435 \tabularnewline
162 & 0.02931 & 0.0306694736842105 & -0.00135947368421053 \tabularnewline
163 & 0.03091 & 0.0306694736842105 & 0.000240526315789472 \tabularnewline
164 & 0.01363 & 0.0148475 & -0.0012175 \tabularnewline
165 & 0.02073 & 0.0234325 & -0.0027025 \tabularnewline
166 & 0.01621 & 0.0157881818181818 & 0.000421818181818179 \tabularnewline
167 & 0.00882 & 0.010566 & -0.001746 \tabularnewline
168 & 0.01367 & 0.0157881818181818 & -0.00211818181818182 \tabularnewline
169 & 0.01439 & 0.0157881818181818 & -0.00139818181818182 \tabularnewline
170 & 0.01344 & 0.0157881818181818 & -0.00234818181818182 \tabularnewline
171 & 0.01255 & 0.01149625 & 0.00105375 \tabularnewline
172 & 0.0114 & 0.010566 & 0.000834 \tabularnewline
173 & 0.01285 & 0.0123233333333333 & 0.000526666666666667 \tabularnewline
174 & 0.01148 & 0.0148475 & -0.0033675 \tabularnewline
175 & 0.01318 & 0.0136246666666667 & -0.000444666666666666 \tabularnewline
176 & 0.01133 & 0.0123233333333333 & -0.000993333333333334 \tabularnewline
177 & 0.01331 & 0.0136246666666667 & -0.000314666666666666 \tabularnewline
178 & 0.0123 & 0.0123233333333333 & -2.33333333333335e-05 \tabularnewline
179 & 0.01309 & 0.0136246666666667 & -0.000534666666666668 \tabularnewline
180 & 0.01263 & 0.0123233333333333 & 0.000306666666666667 \tabularnewline
181 & 0.02148 & 0.0198690909090909 & 0.00161090909090909 \tabularnewline
182 & 0.01559 & 0.0136246666666667 & 0.00196533333333333 \tabularnewline
183 & 0.01666 & 0.0178714285714286 & -0.00121142857142857 \tabularnewline
184 & 0.01949 & 0.0178714285714286 & 0.00161857142857143 \tabularnewline
185 & 0.01756 & 0.0148475 & 0.0027125 \tabularnewline
186 & 0.01691 & 0.0148475 & 0.0020625 \tabularnewline
187 & 0.01491 & 0.0148475 & 6.25000000000001e-05 \tabularnewline
188 & 0.01144 & 0.010566 & 0.000874 \tabularnewline
189 & 0.01095 & 0.010566 & 0.000383999999999999 \tabularnewline
190 & 0.01758 & 0.0198690909090909 & -0.00228909090909091 \tabularnewline
191 & 0.02745 & 0.0364047826086957 & -0.00895478260869565 \tabularnewline
192 & 0.01879 & 0.0198690909090909 & -0.00107909090909091 \tabularnewline
193 & 0.01667 & 0.0157881818181818 & 0.000881818181818182 \tabularnewline
194 & 0.01588 & 0.0157881818181818 & 9.1818181818179e-05 \tabularnewline
195 & 0.01373 & 0.0148475 & -0.0011175 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=231700&T=2

[TABLE]
[ROW][C]Actuals, Predictions, and Residuals[/C][/ROW]
[ROW][C]#[/C][C]Actuals[/C][C]Forecasts[/C][C]Residuals[/C][/ROW]
[ROW][C]1[/C][C]0.02971[/C][C]0.0364047826086957[/C][C]-0.00669478260869565[/C][/ROW]
[ROW][C]2[/C][C]0.04368[/C][C]0.0503427272727273[/C][C]-0.00666272727272727[/C][/ROW]
[ROW][C]3[/C][C]0.0359[/C][C]0.0364047826086957[/C][C]-0.000504782608695652[/C][/ROW]
[ROW][C]4[/C][C]0.03772[/C][C]0.0364047826086957[/C][C]0.00131521739130434[/C][/ROW]
[ROW][C]5[/C][C]0.04465[/C][C]0.0503427272727273[/C][C]-0.00569272727272727[/C][/ROW]
[ROW][C]6[/C][C]0.03243[/C][C]0.0364047826086957[/C][C]-0.00397478260869565[/C][/ROW]
[ROW][C]7[/C][C]0.01351[/C][C]0.0136246666666667[/C][C]-0.000114666666666667[/C][/ROW]
[ROW][C]8[/C][C]0.01256[/C][C]0.0123233333333333[/C][C]0.000236666666666666[/C][/ROW]
[ROW][C]9[/C][C]0.01717[/C][C]0.0178714285714286[/C][C]-0.000701428571428572[/C][/ROW]
[ROW][C]10[/C][C]0.02444[/C][C]0.0234325[/C][C]0.0010075[/C][/ROW]
[ROW][C]11[/C][C]0.01892[/C][C]0.0178714285714286[/C][C]0.00104857142857143[/C][/ROW]
[ROW][C]12[/C][C]0.02214[/C][C]0.0234325[/C][C]-0.0012925[/C][/ROW]
[ROW][C]13[/C][C]0.0114[/C][C]0.010566[/C][C]0.000834[/C][/ROW]
[ROW][C]14[/C][C]0.01797[/C][C]0.0148475[/C][C]0.0031225[/C][/ROW]
[ROW][C]15[/C][C]0.01246[/C][C]0.0148475[/C][C]-0.0023875[/C][/ROW]
[ROW][C]16[/C][C]0.01359[/C][C]0.0148475[/C][C]-0.0012575[/C][/ROW]
[ROW][C]17[/C][C]0.02074[/C][C]0.0178714285714286[/C][C]0.00286857142857143[/C][/ROW]
[ROW][C]18[/C][C]0.0343[/C][C]0.0306694736842105[/C][C]0.00363052631578947[/C][/ROW]
[ROW][C]19[/C][C]0.05767[/C][C]0.0503427272727273[/C][C]0.00732727272727273[/C][/ROW]
[ROW][C]20[/C][C]0.0431[/C][C]0.0306694736842105[/C][C]0.0124305263157895[/C][/ROW]
[ROW][C]21[/C][C]0.04055[/C][C]0.0306694736842105[/C][C]0.00988052631578948[/C][/ROW]
[ROW][C]22[/C][C]0.04525[/C][C]0.0364047826086957[/C][C]0.00884521739130435[/C][/ROW]
[ROW][C]23[/C][C]0.04246[/C][C]0.0364047826086957[/C][C]0.00605521739130434[/C][/ROW]
[ROW][C]24[/C][C]0.03772[/C][C]0.0306694736842105[/C][C]0.00705052631578947[/C][/ROW]
[ROW][C]25[/C][C]0.01497[/C][C]0.0148475[/C][C]0.000122500000000001[/C][/ROW]
[ROW][C]26[/C][C]0.0378[/C][C]0.0364047826086957[/C][C]0.00139521739130435[/C][/ROW]
[ROW][C]27[/C][C]0.01872[/C][C]0.0178714285714286[/C][C]0.000848571428571428[/C][/ROW]
[ROW][C]28[/C][C]0.01826[/C][C]0.0178714285714286[/C][C]0.000388571428571426[/C][/ROW]
[ROW][C]29[/C][C]0.01661[/C][C]0.0148475[/C][C]0.0017625[/C][/ROW]
[ROW][C]30[/C][C]0.01799[/C][C]0.0148475[/C][C]0.0031425[/C][/ROW]
[ROW][C]31[/C][C]0.00802[/C][C]0.00843454545454545[/C][C]-0.000414545454545456[/C][/ROW]
[ROW][C]32[/C][C]0.00762[/C][C]0.00843454545454545[/C][C]-0.000814545454545455[/C][/ROW]
[ROW][C]33[/C][C]0.00951[/C][C]0.010566[/C][C]-0.001056[/C][/ROW]
[ROW][C]34[/C][C]0.00719[/C][C]0.00843454545454545[/C][C]-0.00124454545454545[/C][/ROW]
[ROW][C]35[/C][C]0.00726[/C][C]0.00843454545454545[/C][C]-0.00117454545454546[/C][/ROW]
[ROW][C]36[/C][C]0.00957[/C][C]0.010566[/C][C]-0.000996[/C][/ROW]
[ROW][C]37[/C][C]0.01612[/C][C]0.0157881818181818[/C][C]0.00033181818181818[/C][/ROW]
[ROW][C]38[/C][C]0.01491[/C][C]0.0136246666666667[/C][C]0.00128533333333333[/C][/ROW]
[ROW][C]39[/C][C]0.0119[/C][C]0.0123233333333333[/C][C]-0.000423333333333333[/C][/ROW]
[ROW][C]40[/C][C]0.01366[/C][C]0.0136246666666667[/C][C]3.53333333333334e-05[/C][/ROW]
[ROW][C]41[/C][C]0.01233[/C][C]0.0123233333333333[/C][C]6.66666666666697e-06[/C][/ROW]
[ROW][C]42[/C][C]0.01234[/C][C]0.0123233333333333[/C][C]1.66666666666666e-05[/C][/ROW]
[ROW][C]43[/C][C]0.01133[/C][C]0.01149625[/C][C]-0.00016625[/C][/ROW]
[ROW][C]44[/C][C]0.01251[/C][C]0.01149625[/C][C]0.00101375[/C][/ROW]
[ROW][C]45[/C][C]0.01033[/C][C]0.010566[/C][C]-0.000236[/C][/ROW]
[ROW][C]46[/C][C]0.01014[/C][C]0.01149625[/C][C]-0.00135625[/C][/ROW]
[ROW][C]47[/C][C]0.01149[/C][C]0.01149625[/C][C]-6.24999999999931e-06[/C][/ROW]
[ROW][C]48[/C][C]0.0086[/C][C]0.00843454545454545[/C][C]0.000165454545454545[/C][/ROW]
[ROW][C]49[/C][C]0.01433[/C][C]0.0136246666666667[/C][C]0.000705333333333334[/C][/ROW]
[ROW][C]50[/C][C]0.014[/C][C]0.0136246666666667[/C][C]0.000375333333333333[/C][/ROW]
[ROW][C]51[/C][C]0.01685[/C][C]0.0178714285714286[/C][C]-0.00102142857142857[/C][/ROW]
[ROW][C]52[/C][C]0.01614[/C][C]0.0178714285714286[/C][C]-0.00173142857142857[/C][/ROW]
[ROW][C]53[/C][C]0.01677[/C][C]0.0178714285714286[/C][C]-0.00110142857142857[/C][/ROW]
[ROW][C]54[/C][C]0.01947[/C][C]0.0198690909090909[/C][C]-0.000399090909090908[/C][/ROW]
[ROW][C]55[/C][C]0.02067[/C][C]0.0198690909090909[/C][C]0.000800909090909092[/C][/ROW]
[ROW][C]56[/C][C]0.02454[/C][C]0.0234325[/C][C]0.0011075[/C][/ROW]
[ROW][C]57[/C][C]0.02802[/C][C]0.0306694736842105[/C][C]-0.00264947368421053[/C][/ROW]
[ROW][C]58[/C][C]0.01948[/C][C]0.0178714285714286[/C][C]0.00160857142857143[/C][/ROW]
[ROW][C]59[/C][C]0.02137[/C][C]0.0198690909090909[/C][C]0.00150090909090909[/C][/ROW]
[ROW][C]60[/C][C]0.02519[/C][C]0.0234325[/C][C]0.0017575[/C][/ROW]
[ROW][C]61[/C][C]0.01382[/C][C]0.0136246666666667[/C][C]0.000195333333333334[/C][/ROW]
[ROW][C]62[/C][C]0.0134[/C][C]0.0148475[/C][C]-0.0014475[/C][/ROW]
[ROW][C]63[/C][C]0.012[/C][C]0.01149625[/C][C]0.000503750000000001[/C][/ROW]
[ROW][C]64[/C][C]0.01179[/C][C]0.01149625[/C][C]0.000293750000000001[/C][/ROW]
[ROW][C]65[/C][C]0.01016[/C][C]0.01149625[/C][C]-0.00133625[/C][/ROW]
[ROW][C]66[/C][C]0.01234[/C][C]0.0136246666666667[/C][C]-0.00128466666666667[/C][/ROW]
[ROW][C]67[/C][C]0.02428[/C][C]0.0234325[/C][C]0.000847500000000001[/C][/ROW]
[ROW][C]68[/C][C]0.02603[/C][C]0.0234325[/C][C]0.0025975[/C][/ROW]
[ROW][C]69[/C][C]0.03392[/C][C]0.0364047826086957[/C][C]-0.00248478260869565[/C][/ROW]
[ROW][C]70[/C][C]0.03635[/C][C]0.0364047826086957[/C][C]-5.47826086956527e-05[/C][/ROW]
[ROW][C]71[/C][C]0.02949[/C][C]0.0306694736842105[/C][C]-0.00117947368421053[/C][/ROW]
[ROW][C]72[/C][C]0.03736[/C][C]0.0364047826086957[/C][C]0.000955217391304344[/C][/ROW]
[ROW][C]73[/C][C]0.01345[/C][C]0.0136246666666667[/C][C]-0.000174666666666667[/C][/ROW]
[ROW][C]74[/C][C]0.01956[/C][C]0.0178714285714286[/C][C]0.00168857142857143[/C][/ROW]
[ROW][C]75[/C][C]0.01831[/C][C]0.0178714285714286[/C][C]0.000438571428571427[/C][/ROW]
[ROW][C]76[/C][C]0.01715[/C][C]0.0178714285714286[/C][C]-0.000721428571428574[/C][/ROW]
[ROW][C]77[/C][C]0.02704[/C][C]0.0306694736842105[/C][C]-0.00362947368421053[/C][/ROW]
[ROW][C]78[/C][C]0.01636[/C][C]0.0178714285714286[/C][C]-0.00151142857142857[/C][/ROW]
[ROW][C]79[/C][C]0.02455[/C][C]0.0234325[/C][C]0.0011175[/C][/ROW]
[ROW][C]80[/C][C]0.02139[/C][C]0.0234325[/C][C]-0.0020425[/C][/ROW]
[ROW][C]81[/C][C]0.02876[/C][C]0.0306694736842105[/C][C]-0.00190947368421053[/C][/ROW]
[ROW][C]82[/C][C]0.0219[/C][C]0.0234325[/C][C]-0.0015325[/C][/ROW]
[ROW][C]83[/C][C]0.01751[/C][C]0.0178714285714286[/C][C]-0.000361428571428572[/C][/ROW]
[ROW][C]84[/C][C]0.01552[/C][C]0.0178714285714286[/C][C]-0.00235142857142857[/C][/ROW]
[ROW][C]85[/C][C]0.0351[/C][C]0.0364047826086957[/C][C]-0.00130478260869565[/C][/ROW]
[ROW][C]86[/C][C]0.02877[/C][C]0.0306694736842105[/C][C]-0.00189947368421053[/C][/ROW]
[ROW][C]87[/C][C]0.02784[/C][C]0.0306694736842105[/C][C]-0.00282947368421053[/C][/ROW]
[ROW][C]88[/C][C]0.04683[/C][C]0.0503427272727273[/C][C]-0.00351272727272727[/C][/ROW]
[ROW][C]89[/C][C]0.04802[/C][C]0.0503427272727273[/C][C]-0.00232272727272727[/C][/ROW]
[ROW][C]90[/C][C]0.03455[/C][C]0.0364047826086957[/C][C]-0.00185478260869566[/C][/ROW]
[ROW][C]91[/C][C]0.05114[/C][C]0.0503427272727273[/C][C]0.00079727272727273[/C][/ROW]
[ROW][C]92[/C][C]0.0569[/C][C]0.0759511111111111[/C][C]-0.0190511111111111[/C][/ROW]
[ROW][C]93[/C][C]0.03051[/C][C]0.0364047826086957[/C][C]-0.00589478260869565[/C][/ROW]
[ROW][C]94[/C][C]0.04398[/C][C]0.0503427272727273[/C][C]-0.00636272727272727[/C][/ROW]
[ROW][C]95[/C][C]0.02764[/C][C]0.0306694736842105[/C][C]-0.00302947368421053[/C][/ROW]
[ROW][C]96[/C][C]0.02571[/C][C]0.0306694736842105[/C][C]-0.00495947368421053[/C][/ROW]
[ROW][C]97[/C][C]0.02809[/C][C]0.0306694736842105[/C][C]-0.00257947368421053[/C][/ROW]
[ROW][C]98[/C][C]0.03088[/C][C]0.0306694736842105[/C][C]0.000210526315789474[/C][/ROW]
[ROW][C]99[/C][C]0.03908[/C][C]0.0364047826086957[/C][C]0.00267521739130434[/C][/ROW]
[ROW][C]100[/C][C]0.05783[/C][C]0.0503427272727273[/C][C]0.00748727272727273[/C][/ROW]
[ROW][C]101[/C][C]0.06196[/C][C]0.0759511111111111[/C][C]-0.0139911111111111[/C][/ROW]
[ROW][C]102[/C][C]0.05174[/C][C]0.0503427272727273[/C][C]0.00139727272727273[/C][/ROW]
[ROW][C]103[/C][C]0.06023[/C][C]0.0759511111111111[/C][C]-0.0157211111111111[/C][/ROW]
[ROW][C]104[/C][C]0.01009[/C][C]0.010566[/C][C]-0.000476000000000001[/C][/ROW]
[ROW][C]105[/C][C]0.00871[/C][C]0.00843454545454545[/C][C]0.000275454545454546[/C][/ROW]
[ROW][C]106[/C][C]0.01059[/C][C]0.010566[/C][C]2.39999999999997e-05[/C][/ROW]
[ROW][C]107[/C][C]0.00928[/C][C]0.00843454545454545[/C][C]0.000845454545454545[/C][/ROW]
[ROW][C]108[/C][C]0.01267[/C][C]0.0123233333333333[/C][C]0.000346666666666667[/C][/ROW]
[ROW][C]109[/C][C]0.00993[/C][C]0.00843454545454545[/C][C]0.00149545454545454[/C][/ROW]
[ROW][C]110[/C][C]0.02084[/C][C]0.0234325[/C][C]-0.0025925[/C][/ROW]
[ROW][C]111[/C][C]0.01852[/C][C]0.0157881818181818[/C][C]0.00273181818181818[/C][/ROW]
[ROW][C]112[/C][C]0.01307[/C][C]0.0136246666666667[/C][C]-0.000554666666666667[/C][/ROW]
[ROW][C]113[/C][C]0.01767[/C][C]0.0157881818181818[/C][C]0.00188181818181818[/C][/ROW]
[ROW][C]114[/C][C]0.01301[/C][C]0.0136246666666667[/C][C]-0.000614666666666666[/C][/ROW]
[ROW][C]115[/C][C]0.01604[/C][C]0.0157881818181818[/C][C]0.000251818181818179[/C][/ROW]
[ROW][C]116[/C][C]0.01271[/C][C]0.0148475[/C][C]-0.0021375[/C][/ROW]
[ROW][C]117[/C][C]0.01312[/C][C]0.0148475[/C][C]-0.0017275[/C][/ROW]
[ROW][C]118[/C][C]0.01652[/C][C]0.0148475[/C][C]0.0016725[/C][/ROW]
[ROW][C]119[/C][C]0.01151[/C][C]0.010566[/C][C]0.000943999999999999[/C][/ROW]
[ROW][C]120[/C][C]0.01075[/C][C]0.010566[/C][C]0.000183999999999998[/C][/ROW]
[ROW][C]121[/C][C]0.01734[/C][C]0.0178714285714286[/C][C]-0.000531428571428572[/C][/ROW]
[ROW][C]122[/C][C]0.01104[/C][C]0.010566[/C][C]0.000473999999999999[/C][/ROW]
[ROW][C]123[/C][C]0.0322[/C][C]0.0364047826086957[/C][C]-0.00420478260869565[/C][/ROW]
[ROW][C]124[/C][C]0.01931[/C][C]0.0198690909090909[/C][C]-0.000559090909090908[/C][/ROW]
[ROW][C]125[/C][C]0.0172[/C][C]0.0178714285714286[/C][C]-0.000671428571428573[/C][/ROW]
[ROW][C]126[/C][C]0.01944[/C][C]0.0178714285714286[/C][C]0.00156857142857143[/C][/ROW]
[ROW][C]127[/C][C]0.02259[/C][C]0.0234325[/C][C]-0.000842499999999999[/C][/ROW]
[ROW][C]128[/C][C]0.02301[/C][C]0.0234325[/C][C]-0.000422499999999999[/C][/ROW]
[ROW][C]129[/C][C]0.00811[/C][C]0.00843454545454545[/C][C]-0.000324545454545456[/C][/ROW]
[ROW][C]130[/C][C]0.00903[/C][C]0.00843454545454545[/C][C]0.000595454545454545[/C][/ROW]
[ROW][C]131[/C][C]0.01194[/C][C]0.010566[/C][C]0.001374[/C][/ROW]
[ROW][C]132[/C][C]0.0131[/C][C]0.0136246666666667[/C][C]-0.000524666666666666[/C][/ROW]
[ROW][C]133[/C][C]0.00915[/C][C]0.010566[/C][C]-0.001416[/C][/ROW]
[ROW][C]134[/C][C]0.00903[/C][C]0.00843454545454545[/C][C]0.000595454545454545[/C][/ROW]
[ROW][C]135[/C][C]0.03651[/C][C]0.0364047826086957[/C][C]0.000105217391304348[/C][/ROW]
[ROW][C]136[/C][C]0.03316[/C][C]0.0364047826086957[/C][C]-0.00324478260869565[/C][/ROW]
[ROW][C]137[/C][C]0.0437[/C][C]0.0364047826086957[/C][C]0.00729521739130435[/C][/ROW]
[ROW][C]138[/C][C]0.04134[/C][C]0.0364047826086957[/C][C]0.00493521739130435[/C][/ROW]
[ROW][C]139[/C][C]0.04451[/C][C]0.0364047826086957[/C][C]0.00810521739130435[/C][/ROW]
[ROW][C]140[/C][C]0.0277[/C][C]0.0234325[/C][C]0.0042675[/C][/ROW]
[ROW][C]141[/C][C]0.02824[/C][C]0.0306694736842105[/C][C]-0.00242947368421053[/C][/ROW]
[ROW][C]142[/C][C]0.04464[/C][C]0.0503427272727273[/C][C]-0.00570272727272727[/C][/ROW]
[ROW][C]143[/C][C]0.0253[/C][C]0.0306694736842105[/C][C]-0.00536947368421053[/C][/ROW]
[ROW][C]144[/C][C]0.01506[/C][C]0.0157881818181818[/C][C]-0.000728181818181819[/C][/ROW]
[ROW][C]145[/C][C]0.02006[/C][C]0.0198690909090909[/C][C]0.000190909090909092[/C][/ROW]
[ROW][C]146[/C][C]0.01909[/C][C]0.0198690909090909[/C][C]-0.00077909090909091[/C][/ROW]
[ROW][C]147[/C][C]0.08808[/C][C]0.0759511111111111[/C][C]0.0121288888888889[/C][/ROW]
[ROW][C]148[/C][C]0.06359[/C][C]0.0503427272727273[/C][C]0.0132472727272727[/C][/ROW]
[ROW][C]149[/C][C]0.06824[/C][C]0.0759511111111111[/C][C]-0.00771111111111111[/C][/ROW]
[ROW][C]150[/C][C]0.0646[/C][C]0.0759511111111111[/C][C]-0.0113511111111111[/C][/ROW]
[ROW][C]151[/C][C]0.06259[/C][C]0.0759511111111111[/C][C]-0.0133611111111111[/C][/ROW]
[ROW][C]152[/C][C]0.13778[/C][C]0.0759511111111111[/C][C]0.0618288888888889[/C][/ROW]
[ROW][C]153[/C][C]0.08318[/C][C]0.0759511111111111[/C][C]0.0072288888888889[/C][/ROW]
[ROW][C]154[/C][C]0.02056[/C][C]0.0198690909090909[/C][C]0.000690909090909089[/C][/ROW]
[ROW][C]155[/C][C]0.02018[/C][C]0.0198690909090909[/C][C]0.000310909090909091[/C][/ROW]
[ROW][C]156[/C][C]0.02402[/C][C]0.0234325[/C][C]0.000587500000000001[/C][/ROW]
[ROW][C]157[/C][C]0.01771[/C][C]0.0178714285714286[/C][C]-0.000161428571428573[/C][/ROW]
[ROW][C]158[/C][C]0.02916[/C][C]0.0364047826086957[/C][C]-0.00724478260869565[/C][/ROW]
[ROW][C]159[/C][C]0.02157[/C][C]0.0234325[/C][C]-0.0018625[/C][/ROW]
[ROW][C]160[/C][C]0.03105[/C][C]0.0306694736842105[/C][C]0.000380526315789474[/C][/ROW]
[ROW][C]161[/C][C]0.04114[/C][C]0.0364047826086957[/C][C]0.00473521739130435[/C][/ROW]
[ROW][C]162[/C][C]0.02931[/C][C]0.0306694736842105[/C][C]-0.00135947368421053[/C][/ROW]
[ROW][C]163[/C][C]0.03091[/C][C]0.0306694736842105[/C][C]0.000240526315789472[/C][/ROW]
[ROW][C]164[/C][C]0.01363[/C][C]0.0148475[/C][C]-0.0012175[/C][/ROW]
[ROW][C]165[/C][C]0.02073[/C][C]0.0234325[/C][C]-0.0027025[/C][/ROW]
[ROW][C]166[/C][C]0.01621[/C][C]0.0157881818181818[/C][C]0.000421818181818179[/C][/ROW]
[ROW][C]167[/C][C]0.00882[/C][C]0.010566[/C][C]-0.001746[/C][/ROW]
[ROW][C]168[/C][C]0.01367[/C][C]0.0157881818181818[/C][C]-0.00211818181818182[/C][/ROW]
[ROW][C]169[/C][C]0.01439[/C][C]0.0157881818181818[/C][C]-0.00139818181818182[/C][/ROW]
[ROW][C]170[/C][C]0.01344[/C][C]0.0157881818181818[/C][C]-0.00234818181818182[/C][/ROW]
[ROW][C]171[/C][C]0.01255[/C][C]0.01149625[/C][C]0.00105375[/C][/ROW]
[ROW][C]172[/C][C]0.0114[/C][C]0.010566[/C][C]0.000834[/C][/ROW]
[ROW][C]173[/C][C]0.01285[/C][C]0.0123233333333333[/C][C]0.000526666666666667[/C][/ROW]
[ROW][C]174[/C][C]0.01148[/C][C]0.0148475[/C][C]-0.0033675[/C][/ROW]
[ROW][C]175[/C][C]0.01318[/C][C]0.0136246666666667[/C][C]-0.000444666666666666[/C][/ROW]
[ROW][C]176[/C][C]0.01133[/C][C]0.0123233333333333[/C][C]-0.000993333333333334[/C][/ROW]
[ROW][C]177[/C][C]0.01331[/C][C]0.0136246666666667[/C][C]-0.000314666666666666[/C][/ROW]
[ROW][C]178[/C][C]0.0123[/C][C]0.0123233333333333[/C][C]-2.33333333333335e-05[/C][/ROW]
[ROW][C]179[/C][C]0.01309[/C][C]0.0136246666666667[/C][C]-0.000534666666666668[/C][/ROW]
[ROW][C]180[/C][C]0.01263[/C][C]0.0123233333333333[/C][C]0.000306666666666667[/C][/ROW]
[ROW][C]181[/C][C]0.02148[/C][C]0.0198690909090909[/C][C]0.00161090909090909[/C][/ROW]
[ROW][C]182[/C][C]0.01559[/C][C]0.0136246666666667[/C][C]0.00196533333333333[/C][/ROW]
[ROW][C]183[/C][C]0.01666[/C][C]0.0178714285714286[/C][C]-0.00121142857142857[/C][/ROW]
[ROW][C]184[/C][C]0.01949[/C][C]0.0178714285714286[/C][C]0.00161857142857143[/C][/ROW]
[ROW][C]185[/C][C]0.01756[/C][C]0.0148475[/C][C]0.0027125[/C][/ROW]
[ROW][C]186[/C][C]0.01691[/C][C]0.0148475[/C][C]0.0020625[/C][/ROW]
[ROW][C]187[/C][C]0.01491[/C][C]0.0148475[/C][C]6.25000000000001e-05[/C][/ROW]
[ROW][C]188[/C][C]0.01144[/C][C]0.010566[/C][C]0.000874[/C][/ROW]
[ROW][C]189[/C][C]0.01095[/C][C]0.010566[/C][C]0.000383999999999999[/C][/ROW]
[ROW][C]190[/C][C]0.01758[/C][C]0.0198690909090909[/C][C]-0.00228909090909091[/C][/ROW]
[ROW][C]191[/C][C]0.02745[/C][C]0.0364047826086957[/C][C]-0.00895478260869565[/C][/ROW]
[ROW][C]192[/C][C]0.01879[/C][C]0.0198690909090909[/C][C]-0.00107909090909091[/C][/ROW]
[ROW][C]193[/C][C]0.01667[/C][C]0.0157881818181818[/C][C]0.000881818181818182[/C][/ROW]
[ROW][C]194[/C][C]0.01588[/C][C]0.0157881818181818[/C][C]9.1818181818179e-05[/C][/ROW]
[ROW][C]195[/C][C]0.01373[/C][C]0.0148475[/C][C]-0.0011175[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=231700&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231700&T=2

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Actuals, Predictions, and Residuals
#	Actuals	Forecasts	Residuals
1	0.02971	0.0364047826086957	-0.00669478260869565
2	0.04368	0.0503427272727273	-0.00666272727272727
3	0.0359	0.0364047826086957	-0.000504782608695652
4	0.03772	0.0364047826086957	0.00131521739130434
5	0.04465	0.0503427272727273	-0.00569272727272727
6	0.03243	0.0364047826086957	-0.00397478260869565
7	0.01351	0.0136246666666667	-0.000114666666666667
8	0.01256	0.0123233333333333	0.000236666666666666
9	0.01717	0.0178714285714286	-0.000701428571428572
10	0.02444	0.0234325	0.0010075
11	0.01892	0.0178714285714286	0.00104857142857143
12	0.02214	0.0234325	-0.0012925
13	0.0114	0.010566	0.000834
14	0.01797	0.0148475	0.0031225
15	0.01246	0.0148475	-0.0023875
16	0.01359	0.0148475	-0.0012575
17	0.02074	0.0178714285714286	0.00286857142857143
18	0.0343	0.0306694736842105	0.00363052631578947
19	0.05767	0.0503427272727273	0.00732727272727273
20	0.0431	0.0306694736842105	0.0124305263157895
21	0.04055	0.0306694736842105	0.00988052631578948
22	0.04525	0.0364047826086957	0.00884521739130435
23	0.04246	0.0364047826086957	0.00605521739130434
24	0.03772	0.0306694736842105	0.00705052631578947
25	0.01497	0.0148475	0.000122500000000001
26	0.0378	0.0364047826086957	0.00139521739130435
27	0.01872	0.0178714285714286	0.000848571428571428
28	0.01826	0.0178714285714286	0.000388571428571426
29	0.01661	0.0148475	0.0017625
30	0.01799	0.0148475	0.0031425
31	0.00802	0.00843454545454545	-0.000414545454545456
32	0.00762	0.00843454545454545	-0.000814545454545455
33	0.00951	0.010566	-0.001056
34	0.00719	0.00843454545454545	-0.00124454545454545
35	0.00726	0.00843454545454545	-0.00117454545454546
36	0.00957	0.010566	-0.000996
37	0.01612	0.0157881818181818	0.00033181818181818
38	0.01491	0.0136246666666667	0.00128533333333333
39	0.0119	0.0123233333333333	-0.000423333333333333
40	0.01366	0.0136246666666667	3.53333333333334e-05
41	0.01233	0.0123233333333333	6.66666666666697e-06
42	0.01234	0.0123233333333333	1.66666666666666e-05
43	0.01133	0.01149625	-0.00016625
44	0.01251	0.01149625	0.00101375
45	0.01033	0.010566	-0.000236
46	0.01014	0.01149625	-0.00135625
47	0.01149	0.01149625	-6.24999999999931e-06
48	0.0086	0.00843454545454545	0.000165454545454545
49	0.01433	0.0136246666666667	0.000705333333333334
50	0.014	0.0136246666666667	0.000375333333333333
51	0.01685	0.0178714285714286	-0.00102142857142857
52	0.01614	0.0178714285714286	-0.00173142857142857
53	0.01677	0.0178714285714286	-0.00110142857142857
54	0.01947	0.0198690909090909	-0.000399090909090908
55	0.02067	0.0198690909090909	0.000800909090909092
56	0.02454	0.0234325	0.0011075
57	0.02802	0.0306694736842105	-0.00264947368421053
58	0.01948	0.0178714285714286	0.00160857142857143
59	0.02137	0.0198690909090909	0.00150090909090909
60	0.02519	0.0234325	0.0017575
61	0.01382	0.0136246666666667	0.000195333333333334
62	0.0134	0.0148475	-0.0014475
63	0.012	0.01149625	0.000503750000000001
64	0.01179	0.01149625	0.000293750000000001
65	0.01016	0.01149625	-0.00133625
66	0.01234	0.0136246666666667	-0.00128466666666667
67	0.02428	0.0234325	0.000847500000000001
68	0.02603	0.0234325	0.0025975
69	0.03392	0.0364047826086957	-0.00248478260869565
70	0.03635	0.0364047826086957	-5.47826086956527e-05
71	0.02949	0.0306694736842105	-0.00117947368421053
72	0.03736	0.0364047826086957	0.000955217391304344
73	0.01345	0.0136246666666667	-0.000174666666666667
74	0.01956	0.0178714285714286	0.00168857142857143
75	0.01831	0.0178714285714286	0.000438571428571427
76	0.01715	0.0178714285714286	-0.000721428571428574
77	0.02704	0.0306694736842105	-0.00362947368421053
78	0.01636	0.0178714285714286	-0.00151142857142857
79	0.02455	0.0234325	0.0011175
80	0.02139	0.0234325	-0.0020425
81	0.02876	0.0306694736842105	-0.00190947368421053
82	0.0219	0.0234325	-0.0015325
83	0.01751	0.0178714285714286	-0.000361428571428572
84	0.01552	0.0178714285714286	-0.00235142857142857
85	0.0351	0.0364047826086957	-0.00130478260869565
86	0.02877	0.0306694736842105	-0.00189947368421053
87	0.02784	0.0306694736842105	-0.00282947368421053
88	0.04683	0.0503427272727273	-0.00351272727272727
89	0.04802	0.0503427272727273	-0.00232272727272727
90	0.03455	0.0364047826086957	-0.00185478260869566
91	0.05114	0.0503427272727273	0.00079727272727273
92	0.0569	0.0759511111111111	-0.0190511111111111
93	0.03051	0.0364047826086957	-0.00589478260869565
94	0.04398	0.0503427272727273	-0.00636272727272727
95	0.02764	0.0306694736842105	-0.00302947368421053
96	0.02571	0.0306694736842105	-0.00495947368421053
97	0.02809	0.0306694736842105	-0.00257947368421053
98	0.03088	0.0306694736842105	0.000210526315789474
99	0.03908	0.0364047826086957	0.00267521739130434
100	0.05783	0.0503427272727273	0.00748727272727273
101	0.06196	0.0759511111111111	-0.0139911111111111
102	0.05174	0.0503427272727273	0.00139727272727273
103	0.06023	0.0759511111111111	-0.0157211111111111
104	0.01009	0.010566	-0.000476000000000001
105	0.00871	0.00843454545454545	0.000275454545454546
106	0.01059	0.010566	2.39999999999997e-05
107	0.00928	0.00843454545454545	0.000845454545454545
108	0.01267	0.0123233333333333	0.000346666666666667
109	0.00993	0.00843454545454545	0.00149545454545454
110	0.02084	0.0234325	-0.0025925
111	0.01852	0.0157881818181818	0.00273181818181818
112	0.01307	0.0136246666666667	-0.000554666666666667
113	0.01767	0.0157881818181818	0.00188181818181818
114	0.01301	0.0136246666666667	-0.000614666666666666
115	0.01604	0.0157881818181818	0.000251818181818179
116	0.01271	0.0148475	-0.0021375
117	0.01312	0.0148475	-0.0017275
118	0.01652	0.0148475	0.0016725
119	0.01151	0.010566	0.000943999999999999
120	0.01075	0.010566	0.000183999999999998
121	0.01734	0.0178714285714286	-0.000531428571428572
122	0.01104	0.010566	0.000473999999999999
123	0.0322	0.0364047826086957	-0.00420478260869565
124	0.01931	0.0198690909090909	-0.000559090909090908
125	0.0172	0.0178714285714286	-0.000671428571428573
126	0.01944	0.0178714285714286	0.00156857142857143
127	0.02259	0.0234325	-0.000842499999999999
128	0.02301	0.0234325	-0.000422499999999999
129	0.00811	0.00843454545454545	-0.000324545454545456
130	0.00903	0.00843454545454545	0.000595454545454545
131	0.01194	0.010566	0.001374
132	0.0131	0.0136246666666667	-0.000524666666666666
133	0.00915	0.010566	-0.001416
134	0.00903	0.00843454545454545	0.000595454545454545
135	0.03651	0.0364047826086957	0.000105217391304348
136	0.03316	0.0364047826086957	-0.00324478260869565
137	0.0437	0.0364047826086957	0.00729521739130435
138	0.04134	0.0364047826086957	0.00493521739130435
139	0.04451	0.0364047826086957	0.00810521739130435
140	0.0277	0.0234325	0.0042675
141	0.02824	0.0306694736842105	-0.00242947368421053
142	0.04464	0.0503427272727273	-0.00570272727272727
143	0.0253	0.0306694736842105	-0.00536947368421053
144	0.01506	0.0157881818181818	-0.000728181818181819
145	0.02006	0.0198690909090909	0.000190909090909092
146	0.01909	0.0198690909090909	-0.00077909090909091
147	0.08808	0.0759511111111111	0.0121288888888889
148	0.06359	0.0503427272727273	0.0132472727272727
149	0.06824	0.0759511111111111	-0.00771111111111111
150	0.0646	0.0759511111111111	-0.0113511111111111
151	0.06259	0.0759511111111111	-0.0133611111111111
152	0.13778	0.0759511111111111	0.0618288888888889
153	0.08318	0.0759511111111111	0.0072288888888889
154	0.02056	0.0198690909090909	0.000690909090909089
155	0.02018	0.0198690909090909	0.000310909090909091
156	0.02402	0.0234325	0.000587500000000001
157	0.01771	0.0178714285714286	-0.000161428571428573
158	0.02916	0.0364047826086957	-0.00724478260869565
159	0.02157	0.0234325	-0.0018625
160	0.03105	0.0306694736842105	0.000380526315789474
161	0.04114	0.0364047826086957	0.00473521739130435
162	0.02931	0.0306694736842105	-0.00135947368421053
163	0.03091	0.0306694736842105	0.000240526315789472
164	0.01363	0.0148475	-0.0012175
165	0.02073	0.0234325	-0.0027025
166	0.01621	0.0157881818181818	0.000421818181818179
167	0.00882	0.010566	-0.001746
168	0.01367	0.0157881818181818	-0.00211818181818182
169	0.01439	0.0157881818181818	-0.00139818181818182
170	0.01344	0.0157881818181818	-0.00234818181818182
171	0.01255	0.01149625	0.00105375
172	0.0114	0.010566	0.000834
173	0.01285	0.0123233333333333	0.000526666666666667
174	0.01148	0.0148475	-0.0033675
175	0.01318	0.0136246666666667	-0.000444666666666666
176	0.01133	0.0123233333333333	-0.000993333333333334
177	0.01331	0.0136246666666667	-0.000314666666666666
178	0.0123	0.0123233333333333	-2.33333333333335e-05
179	0.01309	0.0136246666666667	-0.000534666666666668
180	0.01263	0.0123233333333333	0.000306666666666667
181	0.02148	0.0198690909090909	0.00161090909090909
182	0.01559	0.0136246666666667	0.00196533333333333
183	0.01666	0.0178714285714286	-0.00121142857142857
184	0.01949	0.0178714285714286	0.00161857142857143
185	0.01756	0.0148475	0.0027125
186	0.01691	0.0148475	0.0020625
187	0.01491	0.0148475	6.25000000000001e-05
188	0.01144	0.010566	0.000874
189	0.01095	0.010566	0.000383999999999999
190	0.01758	0.0198690909090909	-0.00228909090909091
191	0.02745	0.0364047826086957	-0.00895478260869565
192	0.01879	0.0198690909090909	-0.00107909090909091
193	0.01667	0.0157881818181818	0.000881818181818182
194	0.01588	0.0157881818181818	9.1818181818179e-05
195	0.01373	0.0148475	-0.0011175

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Figure 3

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 11 ; par2 = quantiles ; par3 = 2 ; par4 = no ;

Parameters (R input):

par1 = 11 ; par2 = quantiles ; par3 = 2 ; par4 = no ;

R code (references can be found in the software module):

par4 <- 'no'
par3 <- '3'
par2 <- 'none'
par1 <- '10'
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')
}

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code