R version 3.0.2 (2013-09-25) -- "Frisbee Sailing" Copyright (C) 2013 The R Foundation for Statistical Computing Platform: i686-pc-linux-gnu (32-bit) R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > x <- array(list(1 + ,119.992 + ,157.302 + ,74.997 + ,0.00784 + ,0.0037 + ,0.00554 + ,0.01109 + ,0.04374 + ,0.426 + ,0.02182 + ,0.0313 + ,0.02971 + ,0.06545 + ,0.02211 + ,21.033 + ,0.414783 + ,0.815285 + ,-4.813031 + ,0.266482 + ,2.301442 + ,0.284654 + ,1 + ,122.4 + ,148.65 + ,113.819 + ,0.00968 + ,0.00465 + ,0.00696 + ,0.01394 + ,0.06134 + ,0.626 + ,0.03134 + ,0.04518 + ,0.04368 + ,0.09403 + ,0.01929 + ,19.085 + ,0.458359 + ,0.819521 + ,-4.075192 + ,0.33559 + ,2.486855 + ,0.368674 + ,1 + ,116.682 + ,131.111 + ,111.555 + ,0.0105 + ,0.00544 + ,0.00781 + ,0.01633 + ,0.05233 + ,0.482 + ,0.02757 + ,0.03858 + ,0.0359 + ,0.0827 + ,0.01309 + ,20.651 + ,0.429895 + ,0.825288 + ,-4.443179 + ,0.311173 + ,2.342259 + ,0.332634 + ,1 + ,116.676 + ,137.871 + ,111.366 + ,0.00997 + ,0.00502 + ,0.00698 + ,0.01505 + ,0.05492 + ,0.517 + ,0.02924 + ,0.04005 + ,0.03772 + ,0.08771 + ,0.01353 + ,20.644 + ,0.434969 + ,0.819235 + ,-4.117501 + ,0.334147 + ,2.405554 + ,0.368975 + ,1 + 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,0.01484 + ,0.133 + ,0.00754 + ,0.0095 + ,0.01285 + ,0.02261 + ,0.0043 + ,26.55 + ,0.36909 + ,0.776158 + ,-6.085567 + ,0.192375 + ,1.889002 + ,0.174152 + ,0 + ,113.715 + ,116.443 + ,96.913 + ,0.00349 + ,0.00171 + ,0.00203 + ,0.00514 + ,0.01472 + ,0.133 + ,0.00748 + ,0.00905 + ,0.01148 + ,0.02245 + ,0.00478 + ,26.547 + ,0.380253 + ,0.7667 + ,-5.943501 + ,0.19215 + ,1.852542 + ,0.179677 + ,0 + ,117.004 + ,144.466 + ,99.923 + ,0.00353 + ,0.00176 + ,0.00218 + ,0.00528 + ,0.01657 + ,0.145 + ,0.00881 + ,0.01062 + ,0.01318 + ,0.02643 + ,0.0059 + ,25.445 + ,0.387482 + ,0.756482 + ,-6.012559 + ,0.229298 + ,1.872946 + ,0.163118 + ,0 + ,115.38 + ,123.109 + ,108.634 + ,0.00332 + ,0.0016 + ,0.00199 + ,0.0048 + ,0.01503 + ,0.137 + ,0.00812 + ,0.00933 + ,0.01133 + ,0.02436 + ,0.00401 + ,26.005 + ,0.405991 + ,0.761255 + ,-5.966779 + ,0.197938 + ,1.974857 + ,0.184067 + ,0 + ,116.388 + ,129.038 + ,108.97 + ,0.00346 + ,0.00169 + ,0.00213 + ,0.00507 + ,0.01725 + ,0.155 + ,0.00874 + ,0.01021 + ,0.01331 + ,0.02623 + ,0.00415 + ,26.143 + ,0.361232 + ,0.763242 + ,-6.016891 + ,0.109256 + ,2.004719 + ,0.174429 + ,1 + ,151.737 + ,190.204 + ,129.859 + ,0.00314 + ,0.00135 + ,0.00162 + ,0.00406 + ,0.01469 + ,0.132 + ,0.00728 + ,0.00886 + ,0.0123 + ,0.02184 + ,0.0057 + ,24.151 + ,0.39661 + ,0.745957 + ,-6.486822 + ,0.197919 + ,2.449763 + ,0.132703 + ,1 + ,148.79 + ,158.359 + ,138.99 + ,0.00309 + ,0.00152 + ,0.00186 + ,0.00456 + ,0.01574 + ,0.142 + ,0.00839 + ,0.00956 + ,0.01309 + ,0.02518 + ,0.00488 + ,24.412 + ,0.402591 + ,0.762508 + ,-6.311987 + ,0.182459 + ,2.251553 + ,0.160306 + ,1 + ,148.143 + ,155.982 + ,135.041 + ,0.00392 + ,0.00204 + ,0.00231 + ,0.00612 + ,0.0145 + ,0.131 + ,0.00725 + ,0.00876 + ,0.01263 + ,0.02175 + ,0.0054 + ,23.683 + ,0.398499 + ,0.778349 + ,-5.711205 + ,0.240875 + ,2.845109 + ,0.19273 + ,1 + ,150.44 + ,163.441 + ,144.736 + ,0.00396 + ,0.00206 + ,0.00233 + ,0.00619 + ,0.02551 + ,0.237 + ,0.01321 + ,0.01574 + ,0.02148 + ,0.03964 + ,0.00611 + ,23.133 + ,0.352396 + ,0.75932 + ,-6.261446 + ,0.183218 + ,2.264226 + ,0.144105 + ,1 + ,148.462 + ,161.078 + ,141.998 + ,0.00397 + ,0.00202 + ,0.00235 + ,0.00605 + ,0.01831 + ,0.163 + ,0.0095 + ,0.01103 + ,0.01559 + ,0.02849 + ,0.00639 + ,22.866 + ,0.408598 + ,0.768845 + ,-5.704053 + ,0.216204 + ,2.679185 + ,0.19771 + ,1 + ,149.818 + ,163.417 + ,144.786 + ,0.00336 + ,0.00174 + ,0.00198 + ,0.00521 + ,0.02145 + ,0.198 + ,0.01155 + ,0.01341 + ,0.01666 + ,0.03464 + ,0.00595 + ,23.008 + ,0.329577 + ,0.75718 + ,-6.27717 + ,0.109397 + ,2.209021 + ,0.156368 + ,0 + ,117.226 + ,123.925 + ,106.656 + ,0.00417 + ,0.00186 + ,0.0027 + ,0.00558 + ,0.01909 + ,0.171 + ,0.00864 + ,0.01223 + ,0.01949 + ,0.02592 + ,0.00955 + ,23.079 + ,0.603515 + ,0.669565 + ,-5.61907 + ,0.191576 + ,2.027228 + ,0.215724 + ,0 + ,116.848 + ,217.552 + ,99.503 + ,0.00531 + ,0.0026 + ,0.00346 + ,0.0078 + ,0.01795 + ,0.163 + ,0.0081 + ,0.01144 + ,0.01756 + ,0.02429 + ,0.01179 + ,22.085 + ,0.663842 + ,0.656516 + ,-5.198864 + ,0.206768 + ,2.120412 + ,0.252404 + ,0 + ,116.286 + ,177.291 + ,96.983 + ,0.00314 + ,0.00134 + ,0.00192 + ,0.00403 + ,0.01564 + ,0.136 + ,0.00667 + ,0.0099 + ,0.01691 + ,0.02001 + ,0.00737 + ,24.199 + ,0.598515 + ,0.654331 + ,-5.592584 + ,0.133917 + ,2.058658 + ,0.214346 + ,0 + ,116.556 + ,592.03 + ,86.228 + ,0.00496 + ,0.00254 + ,0.00263 + ,0.00762 + ,0.0166 + ,0.154 + ,0.0082 + ,0.00972 + ,0.01491 + ,0.0246 + ,0.01397 + ,23.958 + ,0.566424 + ,0.667654 + ,-6.431119 + ,0.15331 + ,2.161936 + ,0.120605 + ,0 + ,116.342 + ,581.289 + ,94.246 + ,0.00267 + ,0.00115 + ,0.00148 + ,0.00345 + ,0.013 + ,0.117 + ,0.00631 + ,0.00789 + ,0.01144 + ,0.01892 + ,0.0068 + ,25.023 + ,0.528485 + ,0.663884 + ,-6.359018 + ,0.116636 + ,2.152083 + ,0.138868 + ,0 + ,114.563 + ,119.167 + ,86.647 + ,0.00327 + ,0.00146 + ,0.00184 + ,0.00439 + ,0.01185 + ,0.106 + ,0.00557 + ,0.00721 + ,0.01095 + ,0.01672 + ,0.00703 + ,24.775 + ,0.555303 + ,0.659132 + ,-6.710219 + ,0.149694 + ,1.91399 + ,0.121777 + ,0 + ,201.774 + ,262.707 + ,78.228 + ,0.00694 + ,0.00412 + ,0.00396 + ,0.01235 + ,0.02574 + ,0.255 + ,0.01454 + ,0.01582 + ,0.01758 + ,0.04363 + ,0.04441 + ,19.368 + ,0.508479 + ,0.683761 + ,-6.934474 + ,0.15989 + ,2.316346 + ,0.112838 + ,0 + ,174.188 + ,230.978 + ,94.261 + ,0.00459 + ,0.00263 + ,0.00259 + ,0.0079 + ,0.04087 + ,0.405 + ,0.02336 + ,0.02498 + ,0.02745 + ,0.07008 + ,0.02764 + ,19.517 + ,0.448439 + ,0.657899 + ,-6.538586 + ,0.121952 + ,2.657476 + ,0.13305 + ,0 + ,209.516 + ,253.017 + ,89.488 + ,0.00564 + ,0.00331 + ,0.00292 + ,0.00994 + ,0.02751 + ,0.263 + ,0.01604 + ,0.01657 + ,0.01879 + ,0.04812 + ,0.0181 + ,19.147 + ,0.431674 + ,0.683244 + ,-6.195325 + ,0.129303 + ,2.784312 + ,0.168895 + ,0 + ,174.688 + ,240.005 + ,74.287 + ,0.0136 + ,0.00624 + ,0.00564 + ,0.01873 + ,0.02308 + ,0.256 + ,0.01268 + ,0.01365 + ,0.01667 + ,0.03804 + ,0.10715 + ,17.883 + ,0.407567 + ,0.655683 + ,-6.787197 + ,0.158453 + ,2.679772 + ,0.131728 + ,0 + ,198.764 + ,396.961 + ,74.904 + ,0.0074 + ,0.0037 + ,0.0039 + ,0.01109 + ,0.02296 + ,0.241 + ,0.01265 + ,0.01321 + ,0.01588 + ,0.03794 + ,0.07223 + ,19.02 + ,0.451221 + ,0.643956 + ,-6.744577 + ,0.207454 + ,2.138608 + ,0.123306 + ,0 + ,214.289 + ,260.277 + ,77.973 + ,0.00567 + ,0.00295 + ,0.00317 + ,0.00885 + ,0.01884 + ,0.19 + ,0.01026 + ,0.01161 + ,0.01373 + ,0.03078 + ,0.04398 + ,21.209 + ,0.462803 + ,0.664357 + ,-5.724056 + ,0.190667 + ,2.555477 + ,0.148569) + ,dim=c(22 + ,195) + ,dimnames=list(c('status' + ,'MDVP:Fo(Hz)' + ,'MDVP:Fhi(Hz)' + ,'MDVP:Flo(Hz)' + ,'MDVP:Jitter(%)' + ,'MDVP:RAP' + ,'MDVP:PPQ' + ,'Jitter:DDP' + ,'MDVP:Shimmer' + ,'MDVP:Shimmer(dB)' + ,'Shimmer:APQ3' + ,'Shimmer:APQ5' + ,'MDVP:APQ' + ,'Shimmer:DDA' + ,'NHR' + ,'HNR' + ,'RPDE' + ,'DFA' + ,'spread1' + ,'spread2' + ,'D2' + ,'PPE') + ,1:195)) > y <- array(NA,dim=c(22,195),dimnames=list(c('status','MDVP:Fo(Hz)','MDVP:Fhi(Hz)','MDVP:Flo(Hz)','MDVP:Jitter(%)','MDVP:RAP','MDVP:PPQ','Jitter:DDP','MDVP:Shimmer','MDVP:Shimmer(dB)','Shimmer:APQ3','Shimmer:APQ5','MDVP:APQ','Shimmer:DDA','NHR','HNR','RPDE','DFA','spread1','spread2','D2','PPE'),1:195)) > for (i in 1:dim(x)[1]) + { + for (j in 1:dim(x)[2]) + { + y[i,j] <- as.numeric(x[i,j]) + } + } > par3 = 'No Linear Trend' > par2 = 'Do not include Seasonal Dummies' > par1 = '1' > par3 <- 'No Linear Trend' > par2 <- 'Do not include Seasonal Dummies' > par1 <- '1' > #'GNU S' R Code compiled by R2WASP v. 1.2.327 () > #Author: root > #To cite this work: Wessa P., (2013), Multiple Regression (v1.0.29) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_multipleregression.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > # > library(lattice) > library(lmtest) Loading required package: zoo Attaching package: 'zoo' The following objects are masked from 'package:base': as.Date, as.Date.numeric > n25 <- 25 #minimum number of obs. for Goldfeld-Quandt test > par1 <- as.numeric(par1) > x <- t(y) > k <- length(x[1,]) > n <- length(x[,1]) > x1 <- cbind(x[,par1], x[,1:k!=par1]) > mycolnames <- c(colnames(x)[par1], colnames(x)[1:k!=par1]) > colnames(x1) <- mycolnames #colnames(x)[par1] > x <- x1 > if (par3 == 'First Differences'){ + x2 <- array(0, dim=c(n-1,k), dimnames=list(1:(n-1), paste('(1-B)',colnames(x),sep=''))) + for (i in 1:n-1) { + for (j in 1:k) { + x2[i,j] <- x[i+1,j] - x[i,j] + } + } + x <- x2 + } > if (par2 == 'Include Monthly Dummies'){ + x2 <- array(0, dim=c(n,11), dimnames=list(1:n, paste('M', seq(1:11), sep =''))) + for (i in 1:11){ + x2[seq(i,n,12),i] <- 1 + } + x <- cbind(x, x2) + } > if (par2 == 'Include Quarterly Dummies'){ + x2 <- array(0, dim=c(n,3), dimnames=list(1:n, paste('Q', seq(1:3), sep =''))) + for (i in 1:3){ + x2[seq(i,n,4),i] <- 1 + } + x <- cbind(x, x2) + } > k <- length(x[1,]) > if (par3 == 'Linear Trend'){ + x <- cbind(x, c(1:n)) + colnames(x)[k+1] <- 't' + } > x status MDVP:Fo(Hz) MDVP:Fhi(Hz) MDVP:Flo(Hz) MDVP:Jitter(%) MDVP:RAP 1 1 119.992 157.302 74.997 0.00784 0.00370 2 1 122.400 148.650 113.819 0.00968 0.00465 3 1 116.682 131.111 111.555 0.01050 0.00544 4 1 116.676 137.871 111.366 0.00997 0.00502 5 1 116.014 141.781 110.655 0.01284 0.00655 6 1 120.552 131.162 113.787 0.00968 0.00463 7 1 120.267 137.244 114.820 0.00333 0.00155 8 1 107.332 113.840 104.315 0.00290 0.00144 9 1 95.730 132.068 91.754 0.00551 0.00293 10 1 95.056 120.103 91.226 0.00532 0.00268 11 1 88.333 112.240 84.072 0.00505 0.00254 12 1 91.904 115.871 86.292 0.00540 0.00281 13 1 136.926 159.866 131.276 0.00293 0.00118 14 1 139.173 179.139 76.556 0.00390 0.00165 15 1 152.845 163.305 75.836 0.00294 0.00121 16 1 142.167 217.455 83.159 0.00369 0.00157 17 1 144.188 349.259 82.764 0.00544 0.00211 18 1 168.778 232.181 75.603 0.00718 0.00284 19 1 153.046 175.829 68.623 0.00742 0.00364 20 1 156.405 189.398 142.822 0.00768 0.00372 21 1 153.848 165.738 65.782 0.00840 0.00428 22 1 153.880 172.860 78.128 0.00480 0.00232 23 1 167.930 193.221 79.068 0.00442 0.00220 24 1 173.917 192.735 86.180 0.00476 0.00221 25 1 163.656 200.841 76.779 0.00742 0.00380 26 1 104.400 206.002 77.968 0.00633 0.00316 27 1 171.041 208.313 75.501 0.00455 0.00250 28 1 146.845 208.701 81.737 0.00496 0.00250 29 1 155.358 227.383 80.055 0.00310 0.00159 30 1 162.568 198.346 77.630 0.00502 0.00280 31 0 197.076 206.896 192.055 0.00289 0.00166 32 0 199.228 209.512 192.091 0.00241 0.00134 33 0 198.383 215.203 193.104 0.00212 0.00113 34 0 202.266 211.604 197.079 0.00180 0.00093 35 0 203.184 211.526 196.160 0.00178 0.00094 36 0 201.464 210.565 195.708 0.00198 0.00105 37 1 177.876 192.921 168.013 0.00411 0.00233 38 1 176.170 185.604 163.564 0.00369 0.00205 39 1 180.198 201.249 175.456 0.00284 0.00153 40 1 187.733 202.324 173.015 0.00316 0.00168 41 1 186.163 197.724 177.584 0.00298 0.00165 42 1 184.055 196.537 166.977 0.00258 0.00134 43 0 237.226 247.326 225.227 0.00298 0.00169 44 0 241.404 248.834 232.483 0.00281 0.00157 45 0 243.439 250.912 232.435 0.00210 0.00109 46 0 242.852 255.034 227.911 0.00225 0.00117 47 0 245.510 262.090 231.848 0.00235 0.00127 48 0 252.455 261.487 182.786 0.00185 0.00092 49 0 122.188 128.611 115.765 0.00524 0.00169 50 0 122.964 130.049 114.676 0.00428 0.00124 51 0 124.445 135.069 117.495 0.00431 0.00141 52 0 126.344 134.231 112.773 0.00448 0.00131 53 0 128.001 138.052 122.080 0.00436 0.00137 54 0 129.336 139.867 118.604 0.00490 0.00165 55 1 108.807 134.656 102.874 0.00761 0.00349 56 1 109.860 126.358 104.437 0.00874 0.00398 57 1 110.417 131.067 103.370 0.00784 0.00352 58 1 117.274 129.916 110.402 0.00752 0.00299 59 1 116.879 131.897 108.153 0.00788 0.00334 60 1 114.847 271.314 104.680 0.00867 0.00373 61 0 209.144 237.494 109.379 0.00282 0.00147 62 0 223.365 238.987 98.664 0.00264 0.00154 63 0 222.236 231.345 205.495 0.00266 0.00152 64 0 228.832 234.619 223.634 0.00296 0.00175 65 0 229.401 252.221 221.156 0.00205 0.00114 66 0 228.969 239.541 113.201 0.00238 0.00136 67 1 140.341 159.774 67.021 0.00817 0.00430 68 1 136.969 166.607 66.004 0.00923 0.00507 69 1 143.533 162.215 65.809 0.01101 0.00647 70 1 148.090 162.824 67.343 0.00762 0.00467 71 1 142.729 162.408 65.476 0.00831 0.00469 72 1 136.358 176.595 65.750 0.00971 0.00534 73 1 120.080 139.710 111.208 0.00405 0.00180 74 1 112.014 588.518 107.024 0.00533 0.00268 75 1 110.793 128.101 107.316 0.00494 0.00260 76 1 110.707 122.611 105.007 0.00516 0.00277 77 1 112.876 148.826 106.981 0.00500 0.00270 78 1 110.568 125.394 106.821 0.00462 0.00226 79 1 95.385 102.145 90.264 0.00608 0.00331 80 1 100.770 115.697 85.545 0.01038 0.00622 81 1 96.106 108.664 84.510 0.00694 0.00389 82 1 95.605 107.715 87.549 0.00702 0.00428 83 1 100.960 110.019 95.628 0.00606 0.00351 84 1 98.804 102.305 87.804 0.00432 0.00247 85 1 176.858 205.560 75.344 0.00747 0.00418 86 1 180.978 200.125 155.495 0.00406 0.00220 87 1 178.222 202.450 141.047 0.00321 0.00163 88 1 176.281 227.381 125.610 0.00520 0.00287 89 1 173.898 211.350 74.677 0.00448 0.00237 90 1 179.711 225.930 144.878 0.00709 0.00391 91 1 166.605 206.008 78.032 0.00742 0.00387 92 1 151.955 163.335 147.226 0.00419 0.00224 93 1 148.272 164.989 142.299 0.00459 0.00250 94 1 152.125 161.469 76.596 0.00382 0.00191 95 1 157.821 172.975 68.401 0.00358 0.00196 96 1 157.447 163.267 149.605 0.00369 0.00201 97 1 159.116 168.913 144.811 0.00342 0.00178 98 1 125.036 143.946 116.187 0.01280 0.00743 99 1 125.791 140.557 96.206 0.01378 0.00826 100 1 126.512 141.756 99.770 0.01936 0.01159 101 1 125.641 141.068 116.346 0.03316 0.02144 102 1 128.451 150.449 75.632 0.01551 0.00905 103 1 139.224 586.567 66.157 0.03011 0.01854 104 1 150.258 154.609 75.349 0.00248 0.00105 105 1 154.003 160.267 128.621 0.00183 0.00076 106 1 149.689 160.368 133.608 0.00257 0.00116 107 1 155.078 163.736 144.148 0.00168 0.00068 108 1 151.884 157.765 133.751 0.00258 0.00115 109 1 151.989 157.339 132.857 0.00174 0.00075 110 1 193.030 208.900 80.297 0.00766 0.00450 111 1 200.714 223.982 89.686 0.00621 0.00371 112 1 208.519 220.315 199.020 0.00609 0.00368 113 1 204.664 221.300 189.621 0.00841 0.00502 114 1 210.141 232.706 185.258 0.00534 0.00321 115 1 206.327 226.355 92.020 0.00495 0.00302 116 1 151.872 492.892 69.085 0.00856 0.00404 117 1 158.219 442.557 71.948 0.00476 0.00214 118 1 170.756 450.247 79.032 0.00555 0.00244 119 1 178.285 442.824 82.063 0.00462 0.00157 120 1 217.116 233.481 93.978 0.00404 0.00127 121 1 128.940 479.697 88.251 0.00581 0.00241 122 1 176.824 215.293 83.961 0.00460 0.00209 123 1 138.190 203.522 83.340 0.00704 0.00406 124 1 182.018 197.173 79.187 0.00842 0.00506 125 1 156.239 195.107 79.820 0.00694 0.00403 126 1 145.174 198.109 80.637 0.00733 0.00414 127 1 138.145 197.238 81.114 0.00544 0.00294 128 1 166.888 198.966 79.512 0.00638 0.00368 129 1 119.031 127.533 109.216 0.00440 0.00214 130 1 120.078 126.632 105.667 0.00270 0.00116 131 1 120.289 128.143 100.209 0.00492 0.00269 132 1 120.256 125.306 104.773 0.00407 0.00224 133 1 119.056 125.213 86.795 0.00346 0.00169 134 1 118.747 123.723 109.836 0.00331 0.00168 135 1 106.516 112.777 93.105 0.00589 0.00291 136 1 110.453 127.611 105.554 0.00494 0.00244 137 1 113.400 133.344 107.816 0.00451 0.00219 138 1 113.166 130.270 100.673 0.00502 0.00257 139 1 112.239 126.609 104.095 0.00472 0.00238 140 1 116.150 131.731 109.815 0.00381 0.00181 141 1 170.368 268.796 79.543 0.00571 0.00232 142 1 208.083 253.792 91.802 0.00757 0.00428 143 1 198.458 219.290 148.691 0.00376 0.00182 144 1 202.805 231.508 86.232 0.00370 0.00189 145 1 202.544 241.350 164.168 0.00254 0.00100 146 1 223.361 263.872 87.638 0.00352 0.00169 147 1 169.774 191.759 151.451 0.01568 0.00863 148 1 183.520 216.814 161.340 0.01466 0.00849 149 1 188.620 216.302 165.982 0.01719 0.00996 150 1 202.632 565.740 177.258 0.01627 0.00919 151 1 186.695 211.961 149.442 0.01872 0.01075 152 1 192.818 224.429 168.793 0.03107 0.01800 153 1 198.116 233.099 174.478 0.02714 0.01568 154 1 121.345 139.644 98.250 0.00684 0.00388 155 1 119.100 128.442 88.833 0.00692 0.00393 156 1 117.870 127.349 95.654 0.00647 0.00356 157 1 122.336 142.369 94.794 0.00727 0.00415 158 1 117.963 134.209 100.757 0.01813 0.01117 159 1 126.144 154.284 97.543 0.00975 0.00593 160 1 127.930 138.752 112.173 0.00605 0.00321 161 1 114.238 124.393 77.022 0.00581 0.00299 162 1 115.322 135.738 107.802 0.00619 0.00352 163 1 114.554 126.778 91.121 0.00651 0.00366 164 1 112.150 131.669 97.527 0.00519 0.00291 165 1 102.273 142.830 85.902 0.00907 0.00493 166 0 236.200 244.663 102.137 0.00277 0.00154 167 0 237.323 243.709 229.256 0.00303 0.00173 168 0 260.105 264.919 237.303 0.00339 0.00205 169 0 197.569 217.627 90.794 0.00803 0.00490 170 0 240.301 245.135 219.783 0.00517 0.00316 171 0 244.990 272.210 239.170 0.00451 0.00279 172 0 112.547 133.374 105.715 0.00355 0.00166 173 0 110.739 113.597 100.139 0.00356 0.00170 174 0 113.715 116.443 96.913 0.00349 0.00171 175 0 117.004 144.466 99.923 0.00353 0.00176 176 0 115.380 123.109 108.634 0.00332 0.00160 177 0 116.388 129.038 108.970 0.00346 0.00169 178 1 151.737 190.204 129.859 0.00314 0.00135 179 1 148.790 158.359 138.990 0.00309 0.00152 180 1 148.143 155.982 135.041 0.00392 0.00204 181 1 150.440 163.441 144.736 0.00396 0.00206 182 1 148.462 161.078 141.998 0.00397 0.00202 183 1 149.818 163.417 144.786 0.00336 0.00174 184 0 117.226 123.925 106.656 0.00417 0.00186 185 0 116.848 217.552 99.503 0.00531 0.00260 186 0 116.286 177.291 96.983 0.00314 0.00134 187 0 116.556 592.030 86.228 0.00496 0.00254 188 0 116.342 581.289 94.246 0.00267 0.00115 189 0 114.563 119.167 86.647 0.00327 0.00146 190 0 201.774 262.707 78.228 0.00694 0.00412 191 0 174.188 230.978 94.261 0.00459 0.00263 192 0 209.516 253.017 89.488 0.00564 0.00331 193 0 174.688 240.005 74.287 0.01360 0.00624 194 0 198.764 396.961 74.904 0.00740 0.00370 195 0 214.289 260.277 77.973 0.00567 0.00295 MDVP:PPQ Jitter:DDP MDVP:Shimmer MDVP:Shimmer(dB) Shimmer:APQ3 Shimmer:APQ5 1 0.00554 0.01109 0.04374 0.426 0.02182 0.03130 2 0.00696 0.01394 0.06134 0.626 0.03134 0.04518 3 0.00781 0.01633 0.05233 0.482 0.02757 0.03858 4 0.00698 0.01505 0.05492 0.517 0.02924 0.04005 5 0.00908 0.01966 0.06425 0.584 0.03490 0.04825 6 0.00750 0.01388 0.04701 0.456 0.02328 0.03526 7 0.00202 0.00466 0.01608 0.140 0.00779 0.00937 8 0.00182 0.00431 0.01567 0.134 0.00829 0.00946 9 0.00332 0.00880 0.02093 0.191 0.01073 0.01277 10 0.00332 0.00803 0.02838 0.255 0.01441 0.01725 11 0.00330 0.00763 0.02143 0.197 0.01079 0.01342 12 0.00336 0.00844 0.02752 0.249 0.01424 0.01641 13 0.00153 0.00355 0.01259 0.112 0.00656 0.00717 14 0.00208 0.00496 0.01642 0.154 0.00728 0.00932 15 0.00149 0.00364 0.01828 0.158 0.01064 0.00972 16 0.00203 0.00471 0.01503 0.126 0.00772 0.00888 17 0.00292 0.00632 0.02047 0.192 0.00969 0.01200 18 0.00387 0.00853 0.03327 0.348 0.01441 0.01893 19 0.00432 0.01092 0.05517 0.542 0.02471 0.03572 20 0.00399 0.01116 0.03995 0.348 0.01721 0.02374 21 0.00450 0.01285 0.03810 0.328 0.01667 0.02383 22 0.00267 0.00696 0.04137 0.370 0.02021 0.02591 23 0.00247 0.00661 0.04351 0.377 0.02228 0.02540 24 0.00258 0.00663 0.04192 0.364 0.02187 0.02470 25 0.00390 0.01140 0.01659 0.164 0.00738 0.00948 26 0.00375 0.00948 0.03767 0.381 0.01732 0.02245 27 0.00234 0.00750 0.01966 0.186 0.00889 0.01169 28 0.00275 0.00749 0.01919 0.198 0.00883 0.01144 29 0.00176 0.00476 0.01718 0.161 0.00769 0.01012 30 0.00253 0.00841 0.01791 0.168 0.00793 0.01057 31 0.00168 0.00498 0.01098 0.097 0.00563 0.00680 32 0.00138 0.00402 0.01015 0.089 0.00504 0.00641 33 0.00135 0.00339 0.01263 0.111 0.00640 0.00825 34 0.00107 0.00278 0.00954 0.085 0.00469 0.00606 35 0.00106 0.00283 0.00958 0.085 0.00468 0.00610 36 0.00115 0.00314 0.01194 0.107 0.00586 0.00760 37 0.00241 0.00700 0.02126 0.189 0.01154 0.01347 38 0.00218 0.00616 0.01851 0.168 0.00938 0.01160 39 0.00166 0.00459 0.01444 0.131 0.00726 0.00885 40 0.00182 0.00504 0.01663 0.151 0.00829 0.01003 41 0.00175 0.00496 0.01495 0.135 0.00774 0.00941 42 0.00147 0.00403 0.01463 0.132 0.00742 0.00901 43 0.00182 0.00507 0.01752 0.164 0.01035 0.01024 44 0.00173 0.00470 0.01760 0.154 0.01006 0.01038 45 0.00137 0.00327 0.01419 0.126 0.00777 0.00898 46 0.00139 0.00350 0.01494 0.134 0.00847 0.00879 47 0.00148 0.00380 0.01608 0.141 0.00906 0.00977 48 0.00113 0.00276 0.01152 0.103 0.00614 0.00730 49 0.00203 0.00507 0.01613 0.143 0.00855 0.00776 50 0.00155 0.00373 0.01681 0.154 0.00930 0.00802 51 0.00167 0.00422 0.02184 0.197 0.01241 0.01024 52 0.00169 0.00393 0.02033 0.185 0.01143 0.00959 53 0.00166 0.00411 0.02297 0.210 0.01323 0.01072 54 0.00183 0.00495 0.02498 0.228 0.01396 0.01219 55 0.00486 0.01046 0.02719 0.255 0.01483 0.01609 56 0.00539 0.01193 0.03209 0.307 0.01789 0.01992 57 0.00514 0.01056 0.03715 0.334 0.02032 0.02302 58 0.00469 0.00898 0.02293 0.221 0.01189 0.01459 59 0.00493 0.01003 0.02645 0.265 0.01394 0.01625 60 0.00520 0.01120 0.03225 0.350 0.01805 0.01974 61 0.00152 0.00442 0.01861 0.170 0.00975 0.01258 62 0.00151 0.00461 0.01906 0.165 0.01013 0.01296 63 0.00144 0.00457 0.01643 0.145 0.00867 0.01108 64 0.00155 0.00526 0.01644 0.145 0.00882 0.01075 65 0.00113 0.00342 0.01457 0.129 0.00769 0.00957 66 0.00140 0.00408 0.01745 0.154 0.00942 0.01160 67 0.00440 0.01289 0.03198 0.313 0.01830 0.01810 68 0.00463 0.01520 0.03111 0.308 0.01638 0.01759 69 0.00467 0.01941 0.05384 0.478 0.03152 0.02422 70 0.00354 0.01400 0.05428 0.497 0.03357 0.02494 71 0.00419 0.01407 0.03485 0.365 0.01868 0.01906 72 0.00478 0.01601 0.04978 0.483 0.02749 0.02466 73 0.00220 0.00540 0.01706 0.152 0.00974 0.00925 74 0.00329 0.00805 0.02448 0.226 0.01373 0.01375 75 0.00283 0.00780 0.02442 0.216 0.01432 0.01325 76 0.00289 0.00831 0.02215 0.206 0.01284 0.01219 77 0.00289 0.00810 0.03999 0.350 0.02413 0.02231 78 0.00280 0.00677 0.02199 0.197 0.01284 0.01199 79 0.00332 0.00994 0.03202 0.263 0.01803 0.01886 80 0.00576 0.01865 0.03121 0.361 0.01773 0.01783 81 0.00415 0.01168 0.04024 0.364 0.02266 0.02451 82 0.00371 0.01283 0.03156 0.296 0.01792 0.01841 83 0.00348 0.01053 0.02427 0.216 0.01371 0.01421 84 0.00258 0.00742 0.02223 0.202 0.01277 0.01343 85 0.00420 0.01254 0.04795 0.435 0.02679 0.03022 86 0.00244 0.00659 0.03852 0.331 0.02107 0.02493 87 0.00194 0.00488 0.03759 0.327 0.02073 0.02415 88 0.00312 0.00862 0.06511 0.580 0.03671 0.04159 89 0.00254 0.00710 0.06727 0.650 0.03788 0.04254 90 0.00419 0.01172 0.04313 0.442 0.02297 0.02768 91 0.00453 0.01161 0.06640 0.634 0.03650 0.04282 92 0.00227 0.00672 0.07959 0.772 0.04421 0.04962 93 0.00256 0.00750 0.04190 0.383 0.02383 0.02521 94 0.00226 0.00574 0.05925 0.637 0.03341 0.03794 95 0.00196 0.00587 0.03716 0.307 0.02062 0.02321 96 0.00197 0.00602 0.03272 0.283 0.01813 0.01909 97 0.00184 0.00535 0.03381 0.307 0.01806 0.02024 98 0.00623 0.02228 0.03886 0.342 0.02135 0.02174 99 0.00655 0.02478 0.04689 0.422 0.02542 0.02630 100 0.00990 0.03476 0.06734 0.659 0.03611 0.03963 101 0.01522 0.06433 0.09178 0.891 0.05358 0.04791 102 0.00909 0.02716 0.06170 0.584 0.03223 0.03672 103 0.01628 0.05563 0.09419 0.930 0.05551 0.05005 104 0.00136 0.00315 0.01131 0.107 0.00522 0.00659 105 0.00100 0.00229 0.01030 0.094 0.00469 0.00582 106 0.00134 0.00349 0.01346 0.126 0.00660 0.00818 107 0.00092 0.00204 0.01064 0.097 0.00522 0.00632 108 0.00122 0.00346 0.01450 0.137 0.00633 0.00788 109 0.00096 0.00225 0.01024 0.093 0.00455 0.00576 110 0.00389 0.01351 0.03044 0.275 0.01771 0.01815 111 0.00337 0.01112 0.02286 0.207 0.01192 0.01439 112 0.00339 0.01105 0.01761 0.155 0.00952 0.01058 113 0.00485 0.01506 0.02378 0.210 0.01277 0.01483 114 0.00280 0.00964 0.01680 0.149 0.00861 0.01017 115 0.00246 0.00905 0.02105 0.209 0.01107 0.01284 116 0.00385 0.01211 0.01843 0.235 0.00796 0.00832 117 0.00207 0.00642 0.01458 0.148 0.00606 0.00747 118 0.00261 0.00731 0.01725 0.175 0.00757 0.00971 119 0.00194 0.00472 0.01279 0.129 0.00617 0.00744 120 0.00128 0.00381 0.01299 0.124 0.00679 0.00631 121 0.00314 0.00723 0.02008 0.221 0.00849 0.01117 122 0.00221 0.00628 0.01169 0.117 0.00534 0.00630 123 0.00398 0.01218 0.04479 0.441 0.02587 0.02567 124 0.00449 0.01517 0.02503 0.231 0.01372 0.01580 125 0.00395 0.01209 0.02343 0.224 0.01289 0.01420 126 0.00422 0.01242 0.02362 0.233 0.01235 0.01495 127 0.00327 0.00883 0.02791 0.246 0.01484 0.01805 128 0.00351 0.01104 0.02857 0.257 0.01547 0.01859 129 0.00192 0.00641 0.01033 0.098 0.00538 0.00570 130 0.00135 0.00349 0.01022 0.090 0.00476 0.00588 131 0.00238 0.00808 0.01412 0.125 0.00703 0.00820 132 0.00205 0.00671 0.01516 0.138 0.00721 0.00815 133 0.00170 0.00508 0.01201 0.106 0.00633 0.00701 134 0.00171 0.00504 0.01043 0.099 0.00490 0.00621 135 0.00319 0.00873 0.04932 0.441 0.02683 0.03112 136 0.00315 0.00731 0.04128 0.379 0.02229 0.02592 137 0.00283 0.00658 0.04879 0.431 0.02385 0.02973 138 0.00312 0.00772 0.05279 0.476 0.02896 0.03347 139 0.00290 0.00715 0.05643 0.517 0.03070 0.03530 140 0.00232 0.00542 0.03026 0.267 0.01514 0.01812 141 0.00269 0.00696 0.03273 0.281 0.01713 0.01964 142 0.00428 0.01285 0.06725 0.571 0.04016 0.04003 143 0.00215 0.00546 0.03527 0.297 0.02055 0.02076 144 0.00211 0.00568 0.01997 0.180 0.01117 0.01177 145 0.00133 0.00301 0.02662 0.228 0.01475 0.01558 146 0.00188 0.00506 0.02536 0.225 0.01379 0.01478 147 0.00946 0.02589 0.08143 0.821 0.03804 0.05426 148 0.00819 0.02546 0.06050 0.618 0.02865 0.04101 149 0.01027 0.02987 0.07118 0.722 0.03474 0.04580 150 0.00963 0.02756 0.07170 0.833 0.03515 0.04265 151 0.01154 0.03225 0.05830 0.784 0.02699 0.03714 152 0.01958 0.05401 0.11908 1.302 0.05647 0.07940 153 0.01699 0.04705 0.08684 1.018 0.04284 0.05556 154 0.00332 0.01164 0.02534 0.241 0.01340 0.01399 155 0.00300 0.01179 0.02682 0.236 0.01484 0.01405 156 0.00300 0.01067 0.03087 0.276 0.01659 0.01804 157 0.00339 0.01246 0.02293 0.223 0.01205 0.01289 158 0.00718 0.03351 0.04912 0.438 0.02610 0.02161 159 0.00454 0.01778 0.02852 0.266 0.01500 0.01581 160 0.00318 0.00962 0.03235 0.339 0.01360 0.01650 161 0.00316 0.00896 0.04009 0.406 0.01579 0.01994 162 0.00329 0.01057 0.03273 0.325 0.01644 0.01722 163 0.00340 0.01097 0.03658 0.369 0.01864 0.01940 164 0.00284 0.00873 0.01756 0.155 0.00967 0.01033 165 0.00461 0.01480 0.02814 0.272 0.01579 0.01553 166 0.00153 0.00462 0.02448 0.217 0.01410 0.01426 167 0.00159 0.00519 0.01242 0.116 0.00696 0.00747 168 0.00186 0.00616 0.02030 0.197 0.01186 0.01230 169 0.00448 0.01470 0.02177 0.189 0.01279 0.01272 170 0.00283 0.00949 0.02018 0.212 0.01176 0.01191 171 0.00237 0.00837 0.01897 0.181 0.01084 0.01121 172 0.00190 0.00499 0.01358 0.129 0.00664 0.00786 173 0.00200 0.00510 0.01484 0.133 0.00754 0.00950 174 0.00203 0.00514 0.01472 0.133 0.00748 0.00905 175 0.00218 0.00528 0.01657 0.145 0.00881 0.01062 176 0.00199 0.00480 0.01503 0.137 0.00812 0.00933 177 0.00213 0.00507 0.01725 0.155 0.00874 0.01021 178 0.00162 0.00406 0.01469 0.132 0.00728 0.00886 179 0.00186 0.00456 0.01574 0.142 0.00839 0.00956 180 0.00231 0.00612 0.01450 0.131 0.00725 0.00876 181 0.00233 0.00619 0.02551 0.237 0.01321 0.01574 182 0.00235 0.00605 0.01831 0.163 0.00950 0.01103 183 0.00198 0.00521 0.02145 0.198 0.01155 0.01341 184 0.00270 0.00558 0.01909 0.171 0.00864 0.01223 185 0.00346 0.00780 0.01795 0.163 0.00810 0.01144 186 0.00192 0.00403 0.01564 0.136 0.00667 0.00990 187 0.00263 0.00762 0.01660 0.154 0.00820 0.00972 188 0.00148 0.00345 0.01300 0.117 0.00631 0.00789 189 0.00184 0.00439 0.01185 0.106 0.00557 0.00721 190 0.00396 0.01235 0.02574 0.255 0.01454 0.01582 191 0.00259 0.00790 0.04087 0.405 0.02336 0.02498 192 0.00292 0.00994 0.02751 0.263 0.01604 0.01657 193 0.00564 0.01873 0.02308 0.256 0.01268 0.01365 194 0.00390 0.01109 0.02296 0.241 0.01265 0.01321 195 0.00317 0.00885 0.01884 0.190 0.01026 0.01161 MDVP:APQ Shimmer:DDA NHR HNR RPDE DFA spread1 spread2 1 0.02971 0.06545 0.02211 21.033 0.414783 0.815285 -4.813031 0.266482 2 0.04368 0.09403 0.01929 19.085 0.458359 0.819521 -4.075192 0.335590 3 0.03590 0.08270 0.01309 20.651 0.429895 0.825288 -4.443179 0.311173 4 0.03772 0.08771 0.01353 20.644 0.434969 0.819235 -4.117501 0.334147 5 0.04465 0.10470 0.01767 19.649 0.417356 0.823484 -3.747787 0.234513 6 0.03243 0.06985 0.01222 21.378 0.415564 0.825069 -4.242867 0.299111 7 0.01351 0.02337 0.00607 24.886 0.596040 0.764112 -5.634322 0.257682 8 0.01256 0.02487 0.00344 26.892 0.637420 0.763262 -6.167603 0.183721 9 0.01717 0.03218 0.01070 21.812 0.615551 0.773587 -5.498678 0.327769 10 0.02444 0.04324 0.01022 21.862 0.547037 0.798463 -5.011879 0.325996 11 0.01892 0.03237 0.01166 21.118 0.611137 0.776156 -5.249770 0.391002 12 0.02214 0.04272 0.01141 21.414 0.583390 0.792520 -4.960234 0.363566 13 0.01140 0.01968 0.00581 25.703 0.460600 0.646846 -6.547148 0.152813 14 0.01797 0.02184 0.01041 24.889 0.430166 0.665833 -5.660217 0.254989 15 0.01246 0.03191 0.00609 24.922 0.474791 0.654027 -6.105098 0.203653 16 0.01359 0.02316 0.00839 25.175 0.565924 0.658245 -5.340115 0.210185 17 0.02074 0.02908 0.01859 22.333 0.567380 0.644692 -5.440040 0.239764 18 0.03430 0.04322 0.02919 20.376 0.631099 0.605417 -2.931070 0.434326 19 0.05767 0.07413 0.03160 17.280 0.665318 0.719467 -3.949079 0.357870 20 0.04310 0.05164 0.03365 17.153 0.649554 0.686080 -4.554466 0.340176 21 0.04055 0.05000 0.03871 17.536 0.660125 0.704087 -4.095442 0.262564 22 0.04525 0.06062 0.01849 19.493 0.629017 0.698951 -5.186960 0.237622 23 0.04246 0.06685 0.01280 22.468 0.619060 0.679834 -4.330956 0.262384 24 0.03772 0.06562 0.01840 20.422 0.537264 0.686894 -5.248776 0.210279 25 0.01497 0.02214 0.01778 23.831 0.397937 0.732479 -5.557447 0.220890 26 0.03780 0.05197 0.02887 22.066 0.522746 0.737948 -5.571843 0.236853 27 0.01872 0.02666 0.01095 25.908 0.418622 0.720916 -6.183590 0.226278 28 0.01826 0.02650 0.01328 25.119 0.358773 0.726652 -6.271690 0.196102 29 0.01661 0.02307 0.00677 25.970 0.470478 0.676258 -7.120925 0.279789 30 0.01799 0.02380 0.01170 25.678 0.427785 0.723797 -6.635729 0.209866 31 0.00802 0.01689 0.00339 26.775 0.422229 0.741367 -7.348300 0.177551 32 0.00762 0.01513 0.00167 30.940 0.432439 0.742055 -7.682587 0.173319 33 0.00951 0.01919 0.00119 30.775 0.465946 0.738703 -7.067931 0.175181 34 0.00719 0.01407 0.00072 32.684 0.368535 0.742133 -7.695734 0.178540 35 0.00726 0.01403 0.00065 33.047 0.340068 0.741899 -7.964984 0.163519 36 0.00957 0.01758 0.00135 31.732 0.344252 0.742737 -7.777685 0.170183 37 0.01612 0.03463 0.00586 23.216 0.360148 0.778834 -6.149653 0.218037 38 0.01491 0.02814 0.00340 24.951 0.341435 0.783626 -6.006414 0.196371 39 0.01190 0.02177 0.00231 26.738 0.403884 0.766209 -6.452058 0.212294 40 0.01366 0.02488 0.00265 26.310 0.396793 0.758324 -6.006647 0.266892 41 0.01233 0.02321 0.00231 26.822 0.326480 0.765623 -6.647379 0.201095 42 0.01234 0.02226 0.00257 26.453 0.306443 0.759203 -7.044105 0.063412 43 0.01133 0.03104 0.00740 22.736 0.305062 0.654172 -7.310550 0.098648 44 0.01251 0.03017 0.00675 23.145 0.457702 0.634267 -6.793547 0.158266 45 0.01033 0.02330 0.00454 25.368 0.438296 0.635285 -7.057869 0.091608 46 0.01014 0.02542 0.00476 25.032 0.431285 0.638928 -6.995820 0.102083 47 0.01149 0.02719 0.00476 24.602 0.467489 0.631653 -7.156076 0.127642 48 0.00860 0.01841 0.00432 26.805 0.610367 0.635204 -7.319510 0.200873 49 0.01433 0.02566 0.00839 23.162 0.579597 0.733659 -6.439398 0.266392 50 0.01400 0.02789 0.00462 24.971 0.538688 0.754073 -6.482096 0.264967 51 0.01685 0.03724 0.00479 25.135 0.553134 0.775933 -6.650471 0.254498 52 0.01614 0.03429 0.00474 25.030 0.507504 0.760361 -6.689151 0.291954 53 0.01677 0.03969 0.00481 24.692 0.459766 0.766204 -7.072419 0.220434 54 0.01947 0.04188 0.00484 25.429 0.420383 0.785714 -6.836811 0.269866 55 0.02067 0.04450 0.01036 21.028 0.536009 0.819032 -4.649573 0.205558 56 0.02454 0.05368 0.01180 20.767 0.558586 0.811843 -4.333543 0.221727 57 0.02802 0.06097 0.00969 21.422 0.541781 0.821364 -4.438453 0.238298 58 0.01948 0.03568 0.00681 22.817 0.530529 0.817756 -4.608260 0.290024 59 0.02137 0.04183 0.00786 22.603 0.540049 0.813432 -4.476755 0.262633 60 0.02519 0.05414 0.01143 21.660 0.547975 0.817396 -4.609161 0.221711 61 0.01382 0.02925 0.00871 25.554 0.341788 0.678874 -7.040508 0.066994 62 0.01340 0.03039 0.00301 26.138 0.447979 0.686264 -7.293801 0.086372 63 0.01200 0.02602 0.00340 25.856 0.364867 0.694399 -6.966321 0.095882 64 0.01179 0.02647 0.00351 25.964 0.256570 0.683296 -7.245620 0.018689 65 0.01016 0.02308 0.00300 26.415 0.276850 0.673636 -7.496264 0.056844 66 0.01234 0.02827 0.00420 24.547 0.305429 0.681811 -7.314237 0.006274 67 0.02428 0.05490 0.02183 19.560 0.460139 0.720908 -5.409423 0.226850 68 0.02603 0.04914 0.02659 19.979 0.498133 0.729067 -5.324574 0.205660 69 0.03392 0.09455 0.04882 20.338 0.513237 0.731444 -5.869750 0.151814 70 0.03635 0.10070 0.02431 21.718 0.487407 0.727313 -6.261141 0.120956 71 0.02949 0.05605 0.02599 20.264 0.489345 0.730387 -5.720868 0.158830 72 0.03736 0.08247 0.03361 18.570 0.543299 0.733232 -5.207985 0.224852 73 0.01345 0.02921 0.00442 25.742 0.495954 0.762959 -5.791820 0.329066 74 0.01956 0.04120 0.00623 24.178 0.509127 0.789532 -5.389129 0.306636 75 0.01831 0.04295 0.00479 25.438 0.437031 0.815908 -5.313360 0.201861 76 0.01715 0.03851 0.00472 25.197 0.463514 0.807217 -5.477592 0.315074 77 0.02704 0.07238 0.00905 23.370 0.489538 0.789977 -5.775966 0.341169 78 0.01636 0.03852 0.00420 25.820 0.429484 0.816340 -5.391029 0.250572 79 0.02455 0.05408 0.01062 21.875 0.644954 0.779612 -5.115212 0.249494 80 0.02139 0.05320 0.02220 19.200 0.594387 0.790117 -4.913885 0.265699 81 0.02876 0.06799 0.01823 19.055 0.544805 0.770466 -4.441519 0.155097 82 0.02190 0.05377 0.01825 19.659 0.576084 0.778747 -5.132032 0.210458 83 0.01751 0.04114 0.01237 20.536 0.554610 0.787896 -5.022288 0.146948 84 0.01552 0.03831 0.00882 22.244 0.576644 0.772416 -6.025367 0.078202 85 0.03510 0.08037 0.05470 13.893 0.556494 0.729586 -5.288912 0.343073 86 0.02877 0.06321 0.02782 16.176 0.583574 0.727747 -5.657899 0.315903 87 0.02784 0.06219 0.03151 15.924 0.598714 0.712199 -6.366916 0.335753 88 0.04683 0.11012 0.04824 13.922 0.602874 0.740837 -5.515071 0.299549 89 0.04802 0.11363 0.04214 14.739 0.599371 0.743937 -5.783272 0.299793 90 0.03455 0.06892 0.07223 11.866 0.590951 0.745526 -4.379411 0.375531 91 0.05114 0.10949 0.08725 11.744 0.653410 0.733165 -4.508984 0.389232 92 0.05690 0.13262 0.01658 19.664 0.501037 0.714360 -6.411497 0.207156 93 0.03051 0.07150 0.01914 18.780 0.454444 0.734504 -5.952058 0.087840 94 0.04398 0.10024 0.01211 20.969 0.447456 0.697790 -6.152551 0.173520 95 0.02764 0.06185 0.00850 22.219 0.502380 0.712170 -6.251425 0.188056 96 0.02571 0.05439 0.01018 21.693 0.447285 0.705658 -6.247076 0.180528 97 0.02809 0.05417 0.00852 22.663 0.366329 0.693429 -6.417440 0.194627 98 0.03088 0.06406 0.08151 15.338 0.629574 0.714485 -4.020042 0.265315 99 0.03908 0.07625 0.10323 15.433 0.571010 0.690892 -5.159169 0.202146 100 0.05783 0.10833 0.16744 12.435 0.638545 0.674953 -3.760348 0.242861 101 0.06196 0.16074 0.31482 8.867 0.671299 0.656846 -3.700544 0.260481 102 0.05174 0.09669 0.11843 15.060 0.639808 0.643327 -4.202730 0.310163 103 0.06023 0.16654 0.25930 10.489 0.596362 0.641418 -3.269487 0.270641 104 0.01009 0.01567 0.00495 26.759 0.296888 0.722356 -6.878393 0.089267 105 0.00871 0.01406 0.00243 28.409 0.263654 0.691483 -7.111576 0.144780 106 0.01059 0.01979 0.00578 27.421 0.365488 0.719974 -6.997403 0.210279 107 0.00928 0.01567 0.00233 29.746 0.334171 0.677930 -6.981201 0.184550 108 0.01267 0.01898 0.00659 26.833 0.393563 0.700246 -6.600023 0.249172 109 0.00993 0.01364 0.00238 29.928 0.311369 0.676066 -6.739151 0.160686 110 0.02084 0.05312 0.00947 21.934 0.497554 0.740539 -5.845099 0.278679 111 0.01852 0.03576 0.00704 23.239 0.436084 0.727863 -5.258320 0.256454 112 0.01307 0.02855 0.00830 22.407 0.338097 0.712466 -6.471427 0.184378 113 0.01767 0.03831 0.01316 21.305 0.498877 0.722085 -4.876336 0.212054 114 0.01301 0.02583 0.00620 23.671 0.441097 0.722254 -5.963040 0.250283 115 0.01604 0.03320 0.01048 21.864 0.331508 0.715121 -6.729713 0.181701 116 0.01271 0.02389 0.06051 23.693 0.407701 0.662668 -4.673241 0.261549 117 0.01312 0.01818 0.01554 26.356 0.450798 0.653823 -6.051233 0.273280 118 0.01652 0.02270 0.01802 25.690 0.486738 0.676023 -4.597834 0.372114 119 0.01151 0.01851 0.00856 25.020 0.470422 0.655239 -4.913137 0.393056 120 0.01075 0.02038 0.00681 24.581 0.462516 0.582710 -5.517173 0.389295 121 0.01734 0.02548 0.02350 24.743 0.487756 0.684130 -6.186128 0.279933 122 0.01104 0.01603 0.01161 27.166 0.400088 0.656182 -4.711007 0.281618 123 0.03220 0.07761 0.01968 18.305 0.538016 0.741480 -5.418787 0.160267 124 0.01931 0.04115 0.01813 18.784 0.589956 0.732903 -5.445140 0.142466 125 0.01720 0.03867 0.02020 19.196 0.618663 0.728421 -5.944191 0.143359 126 0.01944 0.03706 0.01874 18.857 0.637518 0.735546 -5.594275 0.127950 127 0.02259 0.04451 0.01794 18.178 0.623209 0.738245 -5.540351 0.087165 128 0.02301 0.04641 0.01796 18.330 0.585169 0.736964 -5.825257 0.115697 129 0.00811 0.01614 0.01724 26.842 0.457541 0.699787 -6.890021 0.152941 130 0.00903 0.01428 0.00487 26.369 0.491345 0.718839 -5.892061 0.195976 131 0.01194 0.02110 0.01610 23.949 0.467160 0.724045 -6.135296 0.203630 132 0.01310 0.02164 0.01015 26.017 0.468621 0.735136 -6.112667 0.217013 133 0.00915 0.01898 0.00903 23.389 0.470972 0.721308 -5.436135 0.254909 134 0.00903 0.01471 0.00504 25.619 0.482296 0.723096 -6.448134 0.178713 135 0.03651 0.08050 0.03031 17.060 0.637814 0.744064 -5.301321 0.320385 136 0.03316 0.06688 0.02529 17.707 0.653427 0.706687 -5.333619 0.322044 137 0.04370 0.07154 0.02278 19.013 0.647900 0.708144 -4.378916 0.300067 138 0.04134 0.08689 0.03690 16.747 0.625362 0.708617 -4.654894 0.304107 139 0.04451 0.09211 0.02629 17.366 0.640945 0.701404 -5.634576 0.306014 140 0.02770 0.04543 0.01827 18.801 0.624811 0.696049 -5.866357 0.233070 141 0.02824 0.05139 0.02485 18.540 0.677131 0.685057 -4.796845 0.397749 142 0.04464 0.12047 0.04238 15.648 0.606344 0.665945 -5.410336 0.288917 143 0.02530 0.06165 0.01728 18.702 0.606273 0.661735 -5.585259 0.310746 144 0.01506 0.03350 0.02010 18.687 0.536102 0.632631 -5.898673 0.213353 145 0.02006 0.04426 0.01049 20.680 0.497480 0.630409 -6.132663 0.220617 146 0.01909 0.04137 0.01493 20.366 0.566849 0.574282 -5.456811 0.345238 147 0.08808 0.11411 0.07530 12.359 0.561610 0.793509 -3.297668 0.414758 148 0.06359 0.08595 0.06057 14.367 0.478024 0.768974 -4.276605 0.355736 149 0.06824 0.10422 0.08069 12.298 0.552870 0.764036 -3.377325 0.335357 150 0.06460 0.10546 0.07889 14.989 0.427627 0.775708 -4.892495 0.262281 151 0.06259 0.08096 0.10952 12.529 0.507826 0.762726 -4.484303 0.340256 152 0.13778 0.16942 0.21713 8.441 0.625866 0.768320 -2.434031 0.450493 153 0.08318 0.12851 0.16265 9.449 0.584164 0.754449 -2.839756 0.356224 154 0.02056 0.04019 0.04179 21.520 0.566867 0.670475 -4.865194 0.246404 155 0.02018 0.04451 0.04611 21.824 0.651680 0.659333 -4.239028 0.175691 156 0.02402 0.04977 0.02631 22.431 0.628300 0.652025 -3.583722 0.207914 157 0.01771 0.03615 0.03191 22.953 0.611679 0.623731 -5.435100 0.230532 158 0.02916 0.07830 0.10748 19.075 0.630547 0.646786 -3.444478 0.303214 159 0.02157 0.04499 0.03828 21.534 0.635015 0.627337 -5.070096 0.280091 160 0.03105 0.04079 0.02663 19.651 0.654945 0.675865 -5.498456 0.234196 161 0.04114 0.04736 0.02073 20.437 0.653139 0.694571 -5.185987 0.259229 162 0.02931 0.04933 0.02810 19.388 0.577802 0.684373 -5.283009 0.226528 163 0.03091 0.05592 0.02707 18.954 0.685151 0.719576 -5.529833 0.242750 164 0.01363 0.02902 0.01435 21.219 0.557045 0.673086 -5.617124 0.184896 165 0.02073 0.04736 0.03882 18.447 0.671378 0.674562 -2.929379 0.396746 166 0.01621 0.04231 0.00620 24.078 0.469928 0.628232 -6.816086 0.172270 167 0.00882 0.02089 0.00533 24.679 0.384868 0.626710 -7.018057 0.176316 168 0.01367 0.03557 0.00910 21.083 0.440988 0.628058 -7.517934 0.160414 169 0.01439 0.03836 0.01337 19.269 0.372222 0.725216 -5.736781 0.164529 170 0.01344 0.03529 0.00965 21.020 0.371837 0.646167 -7.169701 0.073298 171 0.01255 0.03253 0.01049 21.528 0.522812 0.646818 -7.304500 0.171088 172 0.01140 0.01992 0.00435 26.436 0.413295 0.756700 -6.323531 0.218885 173 0.01285 0.02261 0.00430 26.550 0.369090 0.776158 -6.085567 0.192375 174 0.01148 0.02245 0.00478 26.547 0.380253 0.766700 -5.943501 0.192150 175 0.01318 0.02643 0.00590 25.445 0.387482 0.756482 -6.012559 0.229298 176 0.01133 0.02436 0.00401 26.005 0.405991 0.761255 -5.966779 0.197938 177 0.01331 0.02623 0.00415 26.143 0.361232 0.763242 -6.016891 0.109256 178 0.01230 0.02184 0.00570 24.151 0.396610 0.745957 -6.486822 0.197919 179 0.01309 0.02518 0.00488 24.412 0.402591 0.762508 -6.311987 0.182459 180 0.01263 0.02175 0.00540 23.683 0.398499 0.778349 -5.711205 0.240875 181 0.02148 0.03964 0.00611 23.133 0.352396 0.759320 -6.261446 0.183218 182 0.01559 0.02849 0.00639 22.866 0.408598 0.768845 -5.704053 0.216204 183 0.01666 0.03464 0.00595 23.008 0.329577 0.757180 -6.277170 0.109397 184 0.01949 0.02592 0.00955 23.079 0.603515 0.669565 -5.619070 0.191576 185 0.01756 0.02429 0.01179 22.085 0.663842 0.656516 -5.198864 0.206768 186 0.01691 0.02001 0.00737 24.199 0.598515 0.654331 -5.592584 0.133917 187 0.01491 0.02460 0.01397 23.958 0.566424 0.667654 -6.431119 0.153310 188 0.01144 0.01892 0.00680 25.023 0.528485 0.663884 -6.359018 0.116636 189 0.01095 0.01672 0.00703 24.775 0.555303 0.659132 -6.710219 0.149694 190 0.01758 0.04363 0.04441 19.368 0.508479 0.683761 -6.934474 0.159890 191 0.02745 0.07008 0.02764 19.517 0.448439 0.657899 -6.538586 0.121952 192 0.01879 0.04812 0.01810 19.147 0.431674 0.683244 -6.195325 0.129303 193 0.01667 0.03804 0.10715 17.883 0.407567 0.655683 -6.787197 0.158453 194 0.01588 0.03794 0.07223 19.020 0.451221 0.643956 -6.744577 0.207454 195 0.01373 0.03078 0.04398 21.209 0.462803 0.664357 -5.724056 0.190667 D2 PPE 1 2.301442 0.284654 2 2.486855 0.368674 3 2.342259 0.332634 4 2.405554 0.368975 5 2.332180 0.410335 6 2.187560 0.357775 7 1.854785 0.211756 8 2.064693 0.163755 9 2.322511 0.231571 10 2.432792 0.271362 11 2.407313 0.249740 12 2.642476 0.275931 13 2.041277 0.138512 14 2.519422 0.199889 15 2.125618 0.170100 16 2.205546 0.234589 17 2.264501 0.218164 18 3.007463 0.430788 19 3.109010 0.377429 20 2.856676 0.322111 21 2.739710 0.365391 22 2.557536 0.259765 23 2.916777 0.285695 24 2.547508 0.253556 25 2.692176 0.215961 26 2.846369 0.219514 27 2.589702 0.147403 28 2.314209 0.162999 29 2.241742 0.108514 30 1.957961 0.135242 31 1.743867 0.085569 32 2.103106 0.068501 33 1.512275 0.096320 34 1.544609 0.056141 35 1.423287 0.044539 36 2.447064 0.057610 37 2.477082 0.165827 38 2.536527 0.173218 39 2.269398 0.141929 40 2.382544 0.160691 41 2.374073 0.130554 42 2.361532 0.115730 43 2.416838 0.095032 44 2.256699 0.117399 45 2.330716 0.091470 46 2.365800 0.102706 47 2.392122 0.097336 48 2.028612 0.086398 49 2.079922 0.133867 50 2.054419 0.128872 51 1.840198 0.103561 52 2.431854 0.105993 53 1.972297 0.119308 54 2.223719 0.147491 55 1.986899 0.316700 56 2.014606 0.344834 57 1.922940 0.335041 58 2.021591 0.314464 59 1.827012 0.326197 60 1.831691 0.316395 61 2.460791 0.101516 62 2.321560 0.098555 63 2.278687 0.103224 64 2.498224 0.093534 65 2.003032 0.073581 66 2.118596 0.091546 67 2.359973 0.226156 68 2.291558 0.226247 69 2.118496 0.185580 70 2.137075 0.141958 71 2.277927 0.180828 72 2.642276 0.242981 73 2.205024 0.188180 74 1.928708 0.225461 75 2.225815 0.244512 76 1.862092 0.228624 77 2.007923 0.193918 78 1.777901 0.232744 79 2.017753 0.260015 80 2.398422 0.277948 81 2.645959 0.327978 82 2.232576 0.260633 83 2.428306 0.264666 84 2.053601 0.177275 85 3.099301 0.242119 86 3.098256 0.200423 87 2.654271 0.144614 88 3.136550 0.220968 89 3.007096 0.194052 90 3.671155 0.332086 91 3.317586 0.301952 92 2.344876 0.134120 93 2.344336 0.186489 94 2.080121 0.160809 95 2.143851 0.160812 96 2.344348 0.164916 97 2.473239 0.151709 98 2.671825 0.340623 99 2.441612 0.260375 100 2.634633 0.378483 101 2.991063 0.370961 102 2.638279 0.356881 103 2.690917 0.444774 104 2.004055 0.113942 105 2.065477 0.093193 106 1.994387 0.112878 107 2.129924 0.106802 108 2.499148 0.105306 109 2.296873 0.115130 110 2.608749 0.185668 111 2.550961 0.232520 112 2.502336 0.136390 113 2.376749 0.268144 114 2.489191 0.177807 115 2.938114 0.115515 116 2.702355 0.274407 117 2.640798 0.170106 118 2.975889 0.282780 119 2.816781 0.251972 120 2.925862 0.220657 121 2.686240 0.152428 122 2.655744 0.234809 123 2.090438 0.229892 124 2.174306 0.215558 125 1.929715 0.181988 126 1.765957 0.222716 127 1.821297 0.214075 128 1.996146 0.196535 129 2.328513 0.112856 130 2.108873 0.183572 131 2.539724 0.169923 132 2.527742 0.170633 133 2.516320 0.232209 134 2.034827 0.141422 135 2.375138 0.243080 136 2.631793 0.228319 137 2.445502 0.259451 138 2.672362 0.274387 139 2.419253 0.209191 140 2.445646 0.184985 141 2.963799 0.277227 142 2.665133 0.231723 143 2.465528 0.209863 144 2.470746 0.189032 145 2.576563 0.159777 146 2.840556 0.232861 147 3.413649 0.457533 148 3.142364 0.336085 149 3.274865 0.418646 150 2.910213 0.270173 151 2.958815 0.301487 152 3.079221 0.527367 153 3.184027 0.454721 154 2.013530 0.168581 155 2.451130 0.247455 156 2.439597 0.206256 157 2.699645 0.220546 158 2.964568 0.261305 159 2.892300 0.249703 160 2.103014 0.216638 161 2.151121 0.244948 162 2.442906 0.238281 163 2.408689 0.220520 164 1.871871 0.212386 165 2.560422 0.367233 166 2.235197 0.119652 167 1.852402 0.091604 168 1.881767 0.075587 169 2.882450 0.202879 170 2.266432 0.100881 171 2.095237 0.096220 172 2.193412 0.160376 173 1.889002 0.174152 174 1.852542 0.179677 175 1.872946 0.163118 176 1.974857 0.184067 177 2.004719 0.174429 178 2.449763 0.132703 179 2.251553 0.160306 180 2.845109 0.192730 181 2.264226 0.144105 182 2.679185 0.197710 183 2.209021 0.156368 184 2.027228 0.215724 185 2.120412 0.252404 186 2.058658 0.214346 187 2.161936 0.120605 188 2.152083 0.138868 189 1.913990 0.121777 190 2.316346 0.112838 191 2.657476 0.133050 192 2.784312 0.168895 193 2.679772 0.131728 194 2.138608 0.123306 195 2.555477 0.148569 > k <- length(x[1,]) > df <- as.data.frame(x) > (mylm <- lm(df)) Call: lm(formula = df) Coefficients: (Intercept) `MDVP:Fo(Hz)` `MDVP:Fhi(Hz)` `MDVP:Flo(Hz)` 2.221e+00 -1.665e-03 -9.241e-05 -1.652e-03 `MDVP:Jitter(%)` `MDVP:RAP` `MDVP:PPQ` `Jitter:DDP` -1.987e+02 -1.003e+03 -2.569e+01 4.385e+02 `MDVP:Shimmer` `MDVP:Shimmer(dB)` `Shimmer:APQ3` `Shimmer:APQ5` 2.243e+01 6.093e-01 -2.279e+02 -2.785e+01 `MDVP:APQ` `Shimmer:DDA` NHR HNR 1.057e+00 7.073e+01 -2.565e+00 -1.760e-02 RPDE DFA spread1 spread2 -1.063e+00 4.411e-01 1.392e-01 1.263e+00 D2 PPE 5.822e-02 9.624e-01 > (mysum <- summary(mylm)) Call: lm(formula = df) Residuals: Min 1Q Median 3Q Max -0.92998 -0.15169 0.05049 0.21335 0.58752 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 2.221e+00 1.157e+00 1.920 0.05651 . `MDVP:Fo(Hz)` -1.665e-03 1.129e-03 -1.475 0.14193 `MDVP:Fhi(Hz)` -9.241e-05 3.190e-04 -0.290 0.77242 `MDVP:Flo(Hz)` -1.652e-03 7.845e-04 -2.106 0.03667 * `MDVP:Jitter(%)` -1.987e+02 5.965e+01 -3.332 0.00105 ** `MDVP:RAP` -1.003e+03 9.313e+03 -0.108 0.91439 `MDVP:PPQ` -2.569e+01 8.706e+01 -0.295 0.76831 `Jitter:DDP` 4.385e+02 3.105e+03 0.141 0.88786 `MDVP:Shimmer` 2.243e+01 3.351e+01 0.669 0.50431 `MDVP:Shimmer(dB)` 6.093e-01 1.196e+00 0.509 0.61121 `Shimmer:APQ3` -2.279e+02 8.915e+03 -0.026 0.97963 `Shimmer:APQ5` -2.785e+01 1.999e+01 -1.393 0.16543 `MDVP:APQ` 1.057e+00 9.234e+00 0.114 0.90902 `Shimmer:DDA` 7.073e+01 2.971e+03 0.024 0.98103 NHR -2.565e+00 1.977e+00 -1.298 0.19616 HNR -1.760e-02 1.407e-02 -1.251 0.21279 RPDE -1.063e+00 4.338e-01 -2.449 0.01531 * DFA 4.411e-01 7.286e-01 0.605 0.54571 spread1 1.392e-01 9.634e-02 1.445 0.15019 spread2 1.263e+00 4.773e-01 2.646 0.00890 ** D2 5.822e-02 1.135e-01 0.513 0.60866 PPE 9.624e-01 1.316e+00 0.731 0.46573 --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 Residual standard error: 0.3262 on 173 degrees of freedom Multiple R-squared: 0.4912, Adjusted R-squared: 0.4295 F-statistic: 7.954 on 21 and 173 DF, p-value: < 2.2e-16 > if (n > n25) { + kp3 <- k + 3 + nmkm3 <- n - k - 3 + gqarr <- array(NA, dim=c(nmkm3-kp3+1,3)) + numgqtests <- 0 + numsignificant1 <- 0 + numsignificant5 <- 0 + numsignificant10 <- 0 + for (mypoint in kp3:nmkm3) { + j <- 0 + numgqtests <- numgqtests + 1 + for (myalt in c('greater', 'two.sided', 'less')) { + j <- j + 1 + gqarr[mypoint-kp3+1,j] <- gqtest(mylm, point=mypoint, alternative=myalt)$p.value + } + if (gqarr[mypoint-kp3+1,2] < 0.01) numsignificant1 <- numsignificant1 + 1 + if (gqarr[mypoint-kp3+1,2] < 0.05) numsignificant5 <- numsignificant5 + 1 + if (gqarr[mypoint-kp3+1,2] < 0.10) numsignificant10 <- numsignificant10 + 1 + } + gqarr + } [,1] [,2] [,3] [1,] 6.341871e-48 1.268374e-47 1.000000000 [2,] 1.961526e-69 3.923052e-69 1.000000000 [3,] 2.970468e-79 5.940935e-79 1.000000000 [4,] 3.212548e-93 6.425097e-93 1.000000000 [5,] 7.140240e-110 1.428048e-109 1.000000000 [6,] 9.143762e-126 1.828752e-125 1.000000000 [7,] 1.161235e-04 2.322470e-04 0.999883877 [8,] 3.042862e-05 6.085723e-05 0.999969571 [9,] 7.546276e-06 1.509255e-05 0.999992454 [10,] 1.995624e-06 3.991248e-06 0.999998004 [11,] 5.706185e-07 1.141237e-06 0.999999429 [12,] 1.539297e-07 3.078594e-07 0.999999846 [13,] 1.743227e-04 3.486455e-04 0.999825677 [14,] 9.815048e-05 1.963010e-04 0.999901850 [15,] 4.415105e-04 8.830209e-04 0.999558490 [16,] 5.775835e-04 1.155167e-03 0.999422417 [17,] 6.389249e-04 1.277850e-03 0.999361075 [18,] 3.687384e-04 7.374768e-04 0.999631262 [19,] 3.272073e-04 6.544146e-04 0.999672793 [20,] 1.686790e-04 3.373580e-04 0.999831321 [21,] 8.784190e-05 1.756838e-04 0.999912158 [22,] 4.082907e-05 8.165813e-05 0.999959171 [23,] 2.196980e-05 4.393959e-05 0.999978030 [24,] 2.401842e-05 4.803683e-05 0.999975982 [25,] 1.151814e-04 2.303629e-04 0.999884819 [26,] 8.956868e-05 1.791374e-04 0.999910431 [27,] 6.092979e-05 1.218596e-04 0.999939070 [28,] 4.126566e-05 8.253132e-05 0.999958734 [29,] 2.848166e-05 5.696331e-05 0.999971518 [30,] 3.144564e-05 6.289129e-05 0.999968554 [31,] 3.246723e-05 6.493447e-05 0.999967533 [32,] 3.962679e-05 7.925359e-05 0.999960373 [33,] 2.212697e-05 4.425395e-05 0.999977873 [34,] 1.532533e-05 3.065067e-05 0.999984675 [35,] 8.453578e-06 1.690716e-05 0.999991546 [36,] 4.521776e-06 9.043551e-06 0.999995478 [37,] 2.418940e-04 4.837880e-04 0.999758106 [38,] 3.437164e-04 6.874328e-04 0.999656284 [39,] 5.650947e-04 1.130189e-03 0.999434905 [40,] 6.551301e-04 1.310260e-03 0.999344870 [41,] 5.699421e-04 1.139884e-03 0.999430058 [42,] 8.225593e-04 1.645119e-03 0.999177441 [43,] 6.214861e-04 1.242972e-03 0.999378514 [44,] 3.967896e-04 7.935791e-04 0.999603210 [45,] 5.286269e-04 1.057254e-03 0.999471373 [46,] 3.474527e-04 6.949055e-04 0.999652547 [47,] 2.148201e-04 4.296402e-04 0.999785180 [48,] 1.472262e-04 2.944523e-04 0.999852774 [49,] 9.003053e-05 1.800611e-04 0.999909969 [50,] 1.591958e-04 3.183917e-04 0.999840804 [51,] 1.708451e-04 3.416901e-04 0.999829155 [52,] 1.396571e-04 2.793142e-04 0.999860343 [53,] 9.215942e-05 1.843188e-04 0.999907841 [54,] 7.073218e-05 1.414644e-04 0.999929268 [55,] 4.308856e-05 8.617712e-05 0.999956911 [56,] 3.372388e-05 6.744775e-05 0.999966276 [57,] 2.616679e-05 5.233357e-05 0.999973833 [58,] 1.567844e-05 3.135687e-05 0.999984322 [59,] 1.016738e-05 2.033476e-05 0.999989833 [60,] 6.953120e-06 1.390624e-05 0.999993047 [61,] 4.875001e-06 9.750001e-06 0.999995125 [62,] 6.869769e-06 1.373954e-05 0.999993130 [63,] 8.519777e-06 1.703955e-05 0.999991480 [64,] 5.350244e-06 1.070049e-05 0.999994650 [65,] 3.872557e-06 7.745113e-06 0.999996127 [66,] 4.309715e-06 8.619430e-06 0.999995690 [67,] 4.425814e-06 8.851628e-06 0.999995574 [68,] 6.116707e-06 1.223341e-05 0.999993883 [69,] 4.171298e-06 8.342597e-06 0.999995829 [70,] 2.692375e-06 5.384750e-06 0.999997308 [71,] 1.871011e-06 3.742022e-06 0.999998129 [72,] 1.326822e-06 2.653644e-06 0.999998673 [73,] 8.624638e-07 1.724928e-06 0.999999138 [74,] 4.820468e-07 9.640937e-07 0.999999518 [75,] 2.813792e-07 5.627584e-07 0.999999719 [76,] 1.719757e-07 3.439514e-07 0.999999828 [77,] 1.294350e-07 2.588700e-07 0.999999871 [78,] 1.085788e-07 2.171577e-07 0.999999891 [79,] 8.971302e-08 1.794260e-07 0.999999910 [80,] 1.213137e-07 2.426275e-07 0.999999879 [81,] 2.163478e-07 4.326956e-07 0.999999784 [82,] 3.800220e-07 7.600439e-07 0.999999620 [83,] 1.029338e-06 2.058677e-06 0.999998971 [84,] 7.404387e-07 1.480877e-06 0.999999260 [85,] 1.880733e-06 3.761465e-06 0.999998119 [86,] 2.050922e-06 4.101844e-06 0.999997949 [87,] 1.229716e-06 2.459432e-06 0.999998770 [88,] 2.926870e-06 5.853741e-06 0.999997073 [89,] 2.660193e-06 5.320387e-06 0.999997340 [90,] 2.837667e-06 5.675335e-06 0.999997162 [91,] 2.942926e-06 5.885853e-06 0.999997057 [92,] 1.991190e-06 3.982381e-06 0.999998009 [93,] 2.951102e-06 5.902203e-06 0.999997049 [94,] 1.752603e-06 3.505205e-06 0.999998247 [95,] 1.131575e-06 2.263150e-06 0.999998868 [96,] 1.927235e-06 3.854471e-06 0.999998073 [97,] 5.892341e-06 1.178468e-05 0.999994108 [98,] 1.453138e-05 2.906277e-05 0.999985469 [99,] 8.917959e-06 1.783592e-05 0.999991082 [100,] 6.453436e-06 1.290687e-05 0.999993547 [101,] 5.980854e-06 1.196171e-05 0.999994019 [102,] 6.786170e-06 1.357234e-05 0.999993214 [103,] 1.277406e-05 2.554812e-05 0.999987226 [104,] 1.618225e-04 3.236451e-04 0.999838177 [105,] 3.507026e-04 7.014053e-04 0.999649297 [106,] 6.863755e-04 1.372751e-03 0.999313625 [107,] 7.275759e-04 1.455152e-03 0.999272424 [108,] 5.401505e-04 1.080301e-03 0.999459849 [109,] 5.478540e-04 1.095708e-03 0.999452146 [110,] 2.532106e-03 5.064212e-03 0.997467894 [111,] 2.230202e-03 4.460404e-03 0.997769798 [112,] 2.178641e-03 4.357282e-03 0.997821359 [113,] 2.580898e-03 5.161796e-03 0.997419102 [114,] 2.355566e-03 4.711131e-03 0.997644434 [115,] 1.626404e-03 3.252809e-03 0.998373596 [116,] 1.832619e-03 3.665237e-03 0.998167381 [117,] 1.373854e-03 2.747708e-03 0.998626146 [118,] 1.926188e-03 3.852376e-03 0.998073812 [119,] 1.479895e-03 2.959790e-03 0.998520105 [120,] 6.189758e-03 1.237952e-02 0.993810242 [121,] 5.300955e-03 1.060191e-02 0.994699045 [122,] 4.444857e-03 8.889714e-03 0.995555143 [123,] 3.292168e-03 6.584337e-03 0.996707832 [124,] 2.126620e-03 4.253240e-03 0.997873380 [125,] 1.661621e-03 3.323241e-03 0.998338379 [126,] 1.221489e-03 2.442979e-03 0.998778511 [127,] 1.658088e-03 3.316177e-03 0.998341912 [128,] 1.200011e-02 2.400022e-02 0.987999891 [129,] 4.943424e-02 9.886848e-02 0.950565759 [130,] 5.247534e-02 1.049507e-01 0.947524663 [131,] 4.550258e-02 9.100515e-02 0.954497425 [132,] 3.414881e-02 6.829762e-02 0.965851192 [133,] 1.262462e-01 2.524924e-01 0.873753799 [134,] 1.158741e-01 2.317483e-01 0.884125857 [135,] 3.765755e-01 7.531510e-01 0.623424517 [136,] 3.110000e-01 6.220000e-01 0.688999992 [137,] 2.473062e-01 4.946123e-01 0.752693833 [138,] 1.912574e-01 3.825149e-01 0.808742554 [139,] 1.977154e-01 3.954307e-01 0.802284645 [140,] 2.092756e-01 4.185513e-01 0.790724370 [141,] 5.427078e-01 9.145844e-01 0.457292198 [142,] 6.289271e-01 7.421457e-01 0.371072863 [143,] 9.240990e-01 1.518020e-01 0.075900997 [144,] 9.762534e-01 4.749313e-02 0.023746564 [145,] 9.907153e-01 1.856937e-02 0.009284684 [146,] 9.639419e-01 7.211624e-02 0.036058119 > postscript(file="/var/wessaorg/rcomp/tmp/196hi1386779956.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > plot(x[,1], type='l', main='Actuals and Interpolation', ylab='value of Actuals and Interpolation (dots)', xlab='time or index') > points(x[,1]-mysum$resid) > grid() > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/2k3991386779956.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > plot(mysum$resid, type='b', pch=19, main='Residuals', ylab='value of Residuals', xlab='time or index') > grid() > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/36zpz1386779956.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > hist(mysum$resid, main='Residual Histogram', xlab='values of Residuals') > grid() > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/47bpn1386779956.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > densityplot(~mysum$resid,col='black',main='Residual Density Plot', xlab='values of Residuals') > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/5el0f1386779956.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > qqnorm(mysum$resid, main='Residual Normal Q-Q Plot') > qqline(mysum$resid) > grid() > dev.off() null device 1 > (myerror <- as.ts(mysum$resid)) Time Series: Start = 1 End = 195 Frequency = 1 1 2 3 4 5 4.112083e-02 -6.217526e-02 1.225718e-02 -9.202527e-02 1.132879e-01 6 7 8 9 10 5.890125e-02 2.262824e-01 4.365631e-01 9.472391e-05 -1.807814e-01 11 12 13 14 15 -1.475335e-01 -2.619085e-01 5.646878e-01 1.097173e-01 3.083305e-01 16 17 18 19 20 3.074029e-01 4.483044e-01 -2.934918e-01 -3.071358e-01 3.888592e-02 21 22 23 24 25 -4.417910e-02 8.930493e-02 -1.245019e-01 1.258460e-01 1.699335e-01 26 27 28 29 30 3.794816e-02 1.753366e-01 2.135523e-01 3.401800e-01 3.056647e-01 31 32 33 34 35 -2.776160e-01 -1.467711e-01 -1.830470e-01 -1.277735e-01 -9.245323e-02 36 37 38 39 40 -2.128837e-01 2.024709e-01 1.793894e-01 3.901566e-01 2.376647e-01 41 42 43 44 45 3.659649e-01 5.670951e-01 -2.612456e-01 -2.169076e-01 -4.301494e-02 46 47 48 49 50 -1.077512e-01 -7.220099e-02 2.015985e-02 -3.322249e-01 -4.167296e-01 51 52 53 54 55 -3.947876e-01 -4.514418e-01 -3.931701e-01 -5.533514e-01 1.577452e-01 56 57 58 59 60 1.883520e-01 1.255975e-01 2.437077e-01 2.056313e-01 3.070260e-01 61 62 63 64 65 -3.763745e-01 -2.824950e-01 -2.677312e-01 -2.179111e-01 -1.458044e-01 66 67 68 69 70 -3.093367e-01 7.451482e-02 9.503389e-02 9.034056e-02 6.378808e-02 71 72 73 74 75 1.302036e-01 -9.436780e-02 1.319278e-01 5.612582e-02 -2.598911e-02 76 77 78 79 80 -8.900304e-02 -8.111833e-02 1.179094e-02 3.779168e-02 -1.810538e-01 81 82 83 84 85 -1.899613e-01 -1.401054e-01 -2.078642e-02 3.183339e-01 -6.973506e-02 86 87 88 89 90 1.412197e-01 2.879814e-01 6.141133e-02 -4.345159e-03 -2.107623e-01 91 92 93 94 95 -1.248275e-01 2.131489e-01 2.826093e-01 1.355410e-01 2.308921e-01 96 97 98 99 100 2.643604e-01 1.993111e-01 -2.260489e-02 1.735925e-01 7.328435e-02 101 102 103 104 105 1.227535e-02 7.169399e-03 2.181749e-02 4.018332e-01 4.278509e-01 106 107 108 109 110 4.363158e-01 4.828924e-01 3.008967e-01 3.941996e-01 1.179412e-01 111 112 113 114 115 -1.868224e-02 4.105379e-01 2.473711e-01 2.988617e-01 1.915381e-01 116 117 118 119 120 1.301660e-01 2.783967e-01 -3.215531e-02 1.057278e-01 2.377126e-01 121 122 123 124 125 4.225495e-01 2.155930e-02 3.683878e-02 2.995254e-01 4.114048e-01 126 127 128 129 130 3.924738e-01 3.906513e-01 3.773140e-01 5.875245e-01 2.692519e-01 131 132 133 134 135 2.077493e-01 1.538742e-01 -3.573079e-02 3.661274e-01 2.527761e-02 136 137 138 139 140 5.419457e-02 -1.543416e-01 -1.306768e-01 5.048952e-02 2.286626e-01 141 142 143 144 145 1.114334e-01 1.590722e-01 2.761063e-01 3.020163e-01 4.521665e-01 146 147 148 149 150 1.258336e-01 -3.683680e-01 -1.490385e-01 -2.052342e-01 1.251594e-01 151 152 153 154 155 5.370414e-02 4.293613e-02 9.681676e-02 1.300858e-01 1.085138e-01 156 157 158 159 160 1.364602e-02 2.177015e-01 -2.723634e-01 3.843002e-02 1.340091e-01 161 162 163 164 165 -1.390827e-01 -5.206970e-02 5.197917e-02 2.096216e-01 -4.147645e-01 166 167 168 169 170 -4.607095e-01 -2.255988e-01 -1.080005e-01 -9.299840e-01 -2.268510e-01 171 172 173 174 175 -1.133500e-01 -7.842007e-01 -8.224097e-01 -8.594059e-01 -8.579998e-01 176 177 178 179 180 -8.205207e-01 -7.629323e-01 3.559368e-01 2.980180e-01 5.349723e-02 181 182 183 184 185 2.198247e-01 1.168856e-01 2.908347e-01 -6.071605e-01 -6.540412e-01 186 187 188 189 190 -5.964118e-01 -4.287819e-01 -4.585722e-01 -4.243744e-01 -4.046425e-01 191 192 193 194 195 -6.579624e-01 -7.133772e-01 1.892868e-01 -2.739585e-01 -5.450862e-01 > postscript(file="/var/wessaorg/rcomp/tmp/6d4qq1386779956.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > dum <- cbind(lag(myerror,k=1),myerror) > dum Time Series: Start = 0 End = 195 Frequency = 1 lag(myerror, k = 1) myerror 0 4.112083e-02 NA 1 -6.217526e-02 4.112083e-02 2 1.225718e-02 -6.217526e-02 3 -9.202527e-02 1.225718e-02 4 1.132879e-01 -9.202527e-02 5 5.890125e-02 1.132879e-01 6 2.262824e-01 5.890125e-02 7 4.365631e-01 2.262824e-01 8 9.472391e-05 4.365631e-01 9 -1.807814e-01 9.472391e-05 10 -1.475335e-01 -1.807814e-01 11 -2.619085e-01 -1.475335e-01 12 5.646878e-01 -2.619085e-01 13 1.097173e-01 5.646878e-01 14 3.083305e-01 1.097173e-01 15 3.074029e-01 3.083305e-01 16 4.483044e-01 3.074029e-01 17 -2.934918e-01 4.483044e-01 18 -3.071358e-01 -2.934918e-01 19 3.888592e-02 -3.071358e-01 20 -4.417910e-02 3.888592e-02 21 8.930493e-02 -4.417910e-02 22 -1.245019e-01 8.930493e-02 23 1.258460e-01 -1.245019e-01 24 1.699335e-01 1.258460e-01 25 3.794816e-02 1.699335e-01 26 1.753366e-01 3.794816e-02 27 2.135523e-01 1.753366e-01 28 3.401800e-01 2.135523e-01 29 3.056647e-01 3.401800e-01 30 -2.776160e-01 3.056647e-01 31 -1.467711e-01 -2.776160e-01 32 -1.830470e-01 -1.467711e-01 33 -1.277735e-01 -1.830470e-01 34 -9.245323e-02 -1.277735e-01 35 -2.128837e-01 -9.245323e-02 36 2.024709e-01 -2.128837e-01 37 1.793894e-01 2.024709e-01 38 3.901566e-01 1.793894e-01 39 2.376647e-01 3.901566e-01 40 3.659649e-01 2.376647e-01 41 5.670951e-01 3.659649e-01 42 -2.612456e-01 5.670951e-01 43 -2.169076e-01 -2.612456e-01 44 -4.301494e-02 -2.169076e-01 45 -1.077512e-01 -4.301494e-02 46 -7.220099e-02 -1.077512e-01 47 2.015985e-02 -7.220099e-02 48 -3.322249e-01 2.015985e-02 49 -4.167296e-01 -3.322249e-01 50 -3.947876e-01 -4.167296e-01 51 -4.514418e-01 -3.947876e-01 52 -3.931701e-01 -4.514418e-01 53 -5.533514e-01 -3.931701e-01 54 1.577452e-01 -5.533514e-01 55 1.883520e-01 1.577452e-01 56 1.255975e-01 1.883520e-01 57 2.437077e-01 1.255975e-01 58 2.056313e-01 2.437077e-01 59 3.070260e-01 2.056313e-01 60 -3.763745e-01 3.070260e-01 61 -2.824950e-01 -3.763745e-01 62 -2.677312e-01 -2.824950e-01 63 -2.179111e-01 -2.677312e-01 64 -1.458044e-01 -2.179111e-01 65 -3.093367e-01 -1.458044e-01 66 7.451482e-02 -3.093367e-01 67 9.503389e-02 7.451482e-02 68 9.034056e-02 9.503389e-02 69 6.378808e-02 9.034056e-02 70 1.302036e-01 6.378808e-02 71 -9.436780e-02 1.302036e-01 72 1.319278e-01 -9.436780e-02 73 5.612582e-02 1.319278e-01 74 -2.598911e-02 5.612582e-02 75 -8.900304e-02 -2.598911e-02 76 -8.111833e-02 -8.900304e-02 77 1.179094e-02 -8.111833e-02 78 3.779168e-02 1.179094e-02 79 -1.810538e-01 3.779168e-02 80 -1.899613e-01 -1.810538e-01 81 -1.401054e-01 -1.899613e-01 82 -2.078642e-02 -1.401054e-01 83 3.183339e-01 -2.078642e-02 84 -6.973506e-02 3.183339e-01 85 1.412197e-01 -6.973506e-02 86 2.879814e-01 1.412197e-01 87 6.141133e-02 2.879814e-01 88 -4.345159e-03 6.141133e-02 89 -2.107623e-01 -4.345159e-03 90 -1.248275e-01 -2.107623e-01 91 2.131489e-01 -1.248275e-01 92 2.826093e-01 2.131489e-01 93 1.355410e-01 2.826093e-01 94 2.308921e-01 1.355410e-01 95 2.643604e-01 2.308921e-01 96 1.993111e-01 2.643604e-01 97 -2.260489e-02 1.993111e-01 98 1.735925e-01 -2.260489e-02 99 7.328435e-02 1.735925e-01 100 1.227535e-02 7.328435e-02 101 7.169399e-03 1.227535e-02 102 2.181749e-02 7.169399e-03 103 4.018332e-01 2.181749e-02 104 4.278509e-01 4.018332e-01 105 4.363158e-01 4.278509e-01 106 4.828924e-01 4.363158e-01 107 3.008967e-01 4.828924e-01 108 3.941996e-01 3.008967e-01 109 1.179412e-01 3.941996e-01 110 -1.868224e-02 1.179412e-01 111 4.105379e-01 -1.868224e-02 112 2.473711e-01 4.105379e-01 113 2.988617e-01 2.473711e-01 114 1.915381e-01 2.988617e-01 115 1.301660e-01 1.915381e-01 116 2.783967e-01 1.301660e-01 117 -3.215531e-02 2.783967e-01 118 1.057278e-01 -3.215531e-02 119 2.377126e-01 1.057278e-01 120 4.225495e-01 2.377126e-01 121 2.155930e-02 4.225495e-01 122 3.683878e-02 2.155930e-02 123 2.995254e-01 3.683878e-02 124 4.114048e-01 2.995254e-01 125 3.924738e-01 4.114048e-01 126 3.906513e-01 3.924738e-01 127 3.773140e-01 3.906513e-01 128 5.875245e-01 3.773140e-01 129 2.692519e-01 5.875245e-01 130 2.077493e-01 2.692519e-01 131 1.538742e-01 2.077493e-01 132 -3.573079e-02 1.538742e-01 133 3.661274e-01 -3.573079e-02 134 2.527761e-02 3.661274e-01 135 5.419457e-02 2.527761e-02 136 -1.543416e-01 5.419457e-02 137 -1.306768e-01 -1.543416e-01 138 5.048952e-02 -1.306768e-01 139 2.286626e-01 5.048952e-02 140 1.114334e-01 2.286626e-01 141 1.590722e-01 1.114334e-01 142 2.761063e-01 1.590722e-01 143 3.020163e-01 2.761063e-01 144 4.521665e-01 3.020163e-01 145 1.258336e-01 4.521665e-01 146 -3.683680e-01 1.258336e-01 147 -1.490385e-01 -3.683680e-01 148 -2.052342e-01 -1.490385e-01 149 1.251594e-01 -2.052342e-01 150 5.370414e-02 1.251594e-01 151 4.293613e-02 5.370414e-02 152 9.681676e-02 4.293613e-02 153 1.300858e-01 9.681676e-02 154 1.085138e-01 1.300858e-01 155 1.364602e-02 1.085138e-01 156 2.177015e-01 1.364602e-02 157 -2.723634e-01 2.177015e-01 158 3.843002e-02 -2.723634e-01 159 1.340091e-01 3.843002e-02 160 -1.390827e-01 1.340091e-01 161 -5.206970e-02 -1.390827e-01 162 5.197917e-02 -5.206970e-02 163 2.096216e-01 5.197917e-02 164 -4.147645e-01 2.096216e-01 165 -4.607095e-01 -4.147645e-01 166 -2.255988e-01 -4.607095e-01 167 -1.080005e-01 -2.255988e-01 168 -9.299840e-01 -1.080005e-01 169 -2.268510e-01 -9.299840e-01 170 -1.133500e-01 -2.268510e-01 171 -7.842007e-01 -1.133500e-01 172 -8.224097e-01 -7.842007e-01 173 -8.594059e-01 -8.224097e-01 174 -8.579998e-01 -8.594059e-01 175 -8.205207e-01 -8.579998e-01 176 -7.629323e-01 -8.205207e-01 177 3.559368e-01 -7.629323e-01 178 2.980180e-01 3.559368e-01 179 5.349723e-02 2.980180e-01 180 2.198247e-01 5.349723e-02 181 1.168856e-01 2.198247e-01 182 2.908347e-01 1.168856e-01 183 -6.071605e-01 2.908347e-01 184 -6.540412e-01 -6.071605e-01 185 -5.964118e-01 -6.540412e-01 186 -4.287819e-01 -5.964118e-01 187 -4.585722e-01 -4.287819e-01 188 -4.243744e-01 -4.585722e-01 189 -4.046425e-01 -4.243744e-01 190 -6.579624e-01 -4.046425e-01 191 -7.133772e-01 -6.579624e-01 192 1.892868e-01 -7.133772e-01 193 -2.739585e-01 1.892868e-01 194 -5.450862e-01 -2.739585e-01 195 NA -5.450862e-01 > dum1 <- dum[2:length(myerror),] > dum1 lag(myerror, k = 1) myerror [1,] -6.217526e-02 4.112083e-02 [2,] 1.225718e-02 -6.217526e-02 [3,] -9.202527e-02 1.225718e-02 [4,] 1.132879e-01 -9.202527e-02 [5,] 5.890125e-02 1.132879e-01 [6,] 2.262824e-01 5.890125e-02 [7,] 4.365631e-01 2.262824e-01 [8,] 9.472391e-05 4.365631e-01 [9,] -1.807814e-01 9.472391e-05 [10,] -1.475335e-01 -1.807814e-01 [11,] -2.619085e-01 -1.475335e-01 [12,] 5.646878e-01 -2.619085e-01 [13,] 1.097173e-01 5.646878e-01 [14,] 3.083305e-01 1.097173e-01 [15,] 3.074029e-01 3.083305e-01 [16,] 4.483044e-01 3.074029e-01 [17,] -2.934918e-01 4.483044e-01 [18,] -3.071358e-01 -2.934918e-01 [19,] 3.888592e-02 -3.071358e-01 [20,] -4.417910e-02 3.888592e-02 [21,] 8.930493e-02 -4.417910e-02 [22,] -1.245019e-01 8.930493e-02 [23,] 1.258460e-01 -1.245019e-01 [24,] 1.699335e-01 1.258460e-01 [25,] 3.794816e-02 1.699335e-01 [26,] 1.753366e-01 3.794816e-02 [27,] 2.135523e-01 1.753366e-01 [28,] 3.401800e-01 2.135523e-01 [29,] 3.056647e-01 3.401800e-01 [30,] -2.776160e-01 3.056647e-01 [31,] -1.467711e-01 -2.776160e-01 [32,] -1.830470e-01 -1.467711e-01 [33,] -1.277735e-01 -1.830470e-01 [34,] -9.245323e-02 -1.277735e-01 [35,] -2.128837e-01 -9.245323e-02 [36,] 2.024709e-01 -2.128837e-01 [37,] 1.793894e-01 2.024709e-01 [38,] 3.901566e-01 1.793894e-01 [39,] 2.376647e-01 3.901566e-01 [40,] 3.659649e-01 2.376647e-01 [41,] 5.670951e-01 3.659649e-01 [42,] -2.612456e-01 5.670951e-01 [43,] -2.169076e-01 -2.612456e-01 [44,] -4.301494e-02 -2.169076e-01 [45,] -1.077512e-01 -4.301494e-02 [46,] -7.220099e-02 -1.077512e-01 [47,] 2.015985e-02 -7.220099e-02 [48,] -3.322249e-01 2.015985e-02 [49,] -4.167296e-01 -3.322249e-01 [50,] -3.947876e-01 -4.167296e-01 [51,] -4.514418e-01 -3.947876e-01 [52,] -3.931701e-01 -4.514418e-01 [53,] -5.533514e-01 -3.931701e-01 [54,] 1.577452e-01 -5.533514e-01 [55,] 1.883520e-01 1.577452e-01 [56,] 1.255975e-01 1.883520e-01 [57,] 2.437077e-01 1.255975e-01 [58,] 2.056313e-01 2.437077e-01 [59,] 3.070260e-01 2.056313e-01 [60,] -3.763745e-01 3.070260e-01 [61,] -2.824950e-01 -3.763745e-01 [62,] -2.677312e-01 -2.824950e-01 [63,] -2.179111e-01 -2.677312e-01 [64,] -1.458044e-01 -2.179111e-01 [65,] -3.093367e-01 -1.458044e-01 [66,] 7.451482e-02 -3.093367e-01 [67,] 9.503389e-02 7.451482e-02 [68,] 9.034056e-02 9.503389e-02 [69,] 6.378808e-02 9.034056e-02 [70,] 1.302036e-01 6.378808e-02 [71,] -9.436780e-02 1.302036e-01 [72,] 1.319278e-01 -9.436780e-02 [73,] 5.612582e-02 1.319278e-01 [74,] -2.598911e-02 5.612582e-02 [75,] -8.900304e-02 -2.598911e-02 [76,] -8.111833e-02 -8.900304e-02 [77,] 1.179094e-02 -8.111833e-02 [78,] 3.779168e-02 1.179094e-02 [79,] -1.810538e-01 3.779168e-02 [80,] -1.899613e-01 -1.810538e-01 [81,] -1.401054e-01 -1.899613e-01 [82,] -2.078642e-02 -1.401054e-01 [83,] 3.183339e-01 -2.078642e-02 [84,] -6.973506e-02 3.183339e-01 [85,] 1.412197e-01 -6.973506e-02 [86,] 2.879814e-01 1.412197e-01 [87,] 6.141133e-02 2.879814e-01 [88,] -4.345159e-03 6.141133e-02 [89,] -2.107623e-01 -4.345159e-03 [90,] -1.248275e-01 -2.107623e-01 [91,] 2.131489e-01 -1.248275e-01 [92,] 2.826093e-01 2.131489e-01 [93,] 1.355410e-01 2.826093e-01 [94,] 2.308921e-01 1.355410e-01 [95,] 2.643604e-01 2.308921e-01 [96,] 1.993111e-01 2.643604e-01 [97,] -2.260489e-02 1.993111e-01 [98,] 1.735925e-01 -2.260489e-02 [99,] 7.328435e-02 1.735925e-01 [100,] 1.227535e-02 7.328435e-02 [101,] 7.169399e-03 1.227535e-02 [102,] 2.181749e-02 7.169399e-03 [103,] 4.018332e-01 2.181749e-02 [104,] 4.278509e-01 4.018332e-01 [105,] 4.363158e-01 4.278509e-01 [106,] 4.828924e-01 4.363158e-01 [107,] 3.008967e-01 4.828924e-01 [108,] 3.941996e-01 3.008967e-01 [109,] 1.179412e-01 3.941996e-01 [110,] -1.868224e-02 1.179412e-01 [111,] 4.105379e-01 -1.868224e-02 [112,] 2.473711e-01 4.105379e-01 [113,] 2.988617e-01 2.473711e-01 [114,] 1.915381e-01 2.988617e-01 [115,] 1.301660e-01 1.915381e-01 [116,] 2.783967e-01 1.301660e-01 [117,] -3.215531e-02 2.783967e-01 [118,] 1.057278e-01 -3.215531e-02 [119,] 2.377126e-01 1.057278e-01 [120,] 4.225495e-01 2.377126e-01 [121,] 2.155930e-02 4.225495e-01 [122,] 3.683878e-02 2.155930e-02 [123,] 2.995254e-01 3.683878e-02 [124,] 4.114048e-01 2.995254e-01 [125,] 3.924738e-01 4.114048e-01 [126,] 3.906513e-01 3.924738e-01 [127,] 3.773140e-01 3.906513e-01 [128,] 5.875245e-01 3.773140e-01 [129,] 2.692519e-01 5.875245e-01 [130,] 2.077493e-01 2.692519e-01 [131,] 1.538742e-01 2.077493e-01 [132,] -3.573079e-02 1.538742e-01 [133,] 3.661274e-01 -3.573079e-02 [134,] 2.527761e-02 3.661274e-01 [135,] 5.419457e-02 2.527761e-02 [136,] -1.543416e-01 5.419457e-02 [137,] -1.306768e-01 -1.543416e-01 [138,] 5.048952e-02 -1.306768e-01 [139,] 2.286626e-01 5.048952e-02 [140,] 1.114334e-01 2.286626e-01 [141,] 1.590722e-01 1.114334e-01 [142,] 2.761063e-01 1.590722e-01 [143,] 3.020163e-01 2.761063e-01 [144,] 4.521665e-01 3.020163e-01 [145,] 1.258336e-01 4.521665e-01 [146,] -3.683680e-01 1.258336e-01 [147,] -1.490385e-01 -3.683680e-01 [148,] -2.052342e-01 -1.490385e-01 [149,] 1.251594e-01 -2.052342e-01 [150,] 5.370414e-02 1.251594e-01 [151,] 4.293613e-02 5.370414e-02 [152,] 9.681676e-02 4.293613e-02 [153,] 1.300858e-01 9.681676e-02 [154,] 1.085138e-01 1.300858e-01 [155,] 1.364602e-02 1.085138e-01 [156,] 2.177015e-01 1.364602e-02 [157,] -2.723634e-01 2.177015e-01 [158,] 3.843002e-02 -2.723634e-01 [159,] 1.340091e-01 3.843002e-02 [160,] -1.390827e-01 1.340091e-01 [161,] -5.206970e-02 -1.390827e-01 [162,] 5.197917e-02 -5.206970e-02 [163,] 2.096216e-01 5.197917e-02 [164,] -4.147645e-01 2.096216e-01 [165,] -4.607095e-01 -4.147645e-01 [166,] -2.255988e-01 -4.607095e-01 [167,] -1.080005e-01 -2.255988e-01 [168,] -9.299840e-01 -1.080005e-01 [169,] -2.268510e-01 -9.299840e-01 [170,] -1.133500e-01 -2.268510e-01 [171,] -7.842007e-01 -1.133500e-01 [172,] -8.224097e-01 -7.842007e-01 [173,] -8.594059e-01 -8.224097e-01 [174,] -8.579998e-01 -8.594059e-01 [175,] -8.205207e-01 -8.579998e-01 [176,] -7.629323e-01 -8.205207e-01 [177,] 3.559368e-01 -7.629323e-01 [178,] 2.980180e-01 3.559368e-01 [179,] 5.349723e-02 2.980180e-01 [180,] 2.198247e-01 5.349723e-02 [181,] 1.168856e-01 2.198247e-01 [182,] 2.908347e-01 1.168856e-01 [183,] -6.071605e-01 2.908347e-01 [184,] -6.540412e-01 -6.071605e-01 [185,] -5.964118e-01 -6.540412e-01 [186,] -4.287819e-01 -5.964118e-01 [187,] -4.585722e-01 -4.287819e-01 [188,] -4.243744e-01 -4.585722e-01 [189,] -4.046425e-01 -4.243744e-01 [190,] -6.579624e-01 -4.046425e-01 [191,] -7.133772e-01 -6.579624e-01 [192,] 1.892868e-01 -7.133772e-01 [193,] -2.739585e-01 1.892868e-01 [194,] -5.450862e-01 -2.739585e-01 > z <- as.data.frame(dum1) > z lag(myerror, k = 1) myerror 1 -6.217526e-02 4.112083e-02 2 1.225718e-02 -6.217526e-02 3 -9.202527e-02 1.225718e-02 4 1.132879e-01 -9.202527e-02 5 5.890125e-02 1.132879e-01 6 2.262824e-01 5.890125e-02 7 4.365631e-01 2.262824e-01 8 9.472391e-05 4.365631e-01 9 -1.807814e-01 9.472391e-05 10 -1.475335e-01 -1.807814e-01 11 -2.619085e-01 -1.475335e-01 12 5.646878e-01 -2.619085e-01 13 1.097173e-01 5.646878e-01 14 3.083305e-01 1.097173e-01 15 3.074029e-01 3.083305e-01 16 4.483044e-01 3.074029e-01 17 -2.934918e-01 4.483044e-01 18 -3.071358e-01 -2.934918e-01 19 3.888592e-02 -3.071358e-01 20 -4.417910e-02 3.888592e-02 21 8.930493e-02 -4.417910e-02 22 -1.245019e-01 8.930493e-02 23 1.258460e-01 -1.245019e-01 24 1.699335e-01 1.258460e-01 25 3.794816e-02 1.699335e-01 26 1.753366e-01 3.794816e-02 27 2.135523e-01 1.753366e-01 28 3.401800e-01 2.135523e-01 29 3.056647e-01 3.401800e-01 30 -2.776160e-01 3.056647e-01 31 -1.467711e-01 -2.776160e-01 32 -1.830470e-01 -1.467711e-01 33 -1.277735e-01 -1.830470e-01 34 -9.245323e-02 -1.277735e-01 35 -2.128837e-01 -9.245323e-02 36 2.024709e-01 -2.128837e-01 37 1.793894e-01 2.024709e-01 38 3.901566e-01 1.793894e-01 39 2.376647e-01 3.901566e-01 40 3.659649e-01 2.376647e-01 41 5.670951e-01 3.659649e-01 42 -2.612456e-01 5.670951e-01 43 -2.169076e-01 -2.612456e-01 44 -4.301494e-02 -2.169076e-01 45 -1.077512e-01 -4.301494e-02 46 -7.220099e-02 -1.077512e-01 47 2.015985e-02 -7.220099e-02 48 -3.322249e-01 2.015985e-02 49 -4.167296e-01 -3.322249e-01 50 -3.947876e-01 -4.167296e-01 51 -4.514418e-01 -3.947876e-01 52 -3.931701e-01 -4.514418e-01 53 -5.533514e-01 -3.931701e-01 54 1.577452e-01 -5.533514e-01 55 1.883520e-01 1.577452e-01 56 1.255975e-01 1.883520e-01 57 2.437077e-01 1.255975e-01 58 2.056313e-01 2.437077e-01 59 3.070260e-01 2.056313e-01 60 -3.763745e-01 3.070260e-01 61 -2.824950e-01 -3.763745e-01 62 -2.677312e-01 -2.824950e-01 63 -2.179111e-01 -2.677312e-01 64 -1.458044e-01 -2.179111e-01 65 -3.093367e-01 -1.458044e-01 66 7.451482e-02 -3.093367e-01 67 9.503389e-02 7.451482e-02 68 9.034056e-02 9.503389e-02 69 6.378808e-02 9.034056e-02 70 1.302036e-01 6.378808e-02 71 -9.436780e-02 1.302036e-01 72 1.319278e-01 -9.436780e-02 73 5.612582e-02 1.319278e-01 74 -2.598911e-02 5.612582e-02 75 -8.900304e-02 -2.598911e-02 76 -8.111833e-02 -8.900304e-02 77 1.179094e-02 -8.111833e-02 78 3.779168e-02 1.179094e-02 79 -1.810538e-01 3.779168e-02 80 -1.899613e-01 -1.810538e-01 81 -1.401054e-01 -1.899613e-01 82 -2.078642e-02 -1.401054e-01 83 3.183339e-01 -2.078642e-02 84 -6.973506e-02 3.183339e-01 85 1.412197e-01 -6.973506e-02 86 2.879814e-01 1.412197e-01 87 6.141133e-02 2.879814e-01 88 -4.345159e-03 6.141133e-02 89 -2.107623e-01 -4.345159e-03 90 -1.248275e-01 -2.107623e-01 91 2.131489e-01 -1.248275e-01 92 2.826093e-01 2.131489e-01 93 1.355410e-01 2.826093e-01 94 2.308921e-01 1.355410e-01 95 2.643604e-01 2.308921e-01 96 1.993111e-01 2.643604e-01 97 -2.260489e-02 1.993111e-01 98 1.735925e-01 -2.260489e-02 99 7.328435e-02 1.735925e-01 100 1.227535e-02 7.328435e-02 101 7.169399e-03 1.227535e-02 102 2.181749e-02 7.169399e-03 103 4.018332e-01 2.181749e-02 104 4.278509e-01 4.018332e-01 105 4.363158e-01 4.278509e-01 106 4.828924e-01 4.363158e-01 107 3.008967e-01 4.828924e-01 108 3.941996e-01 3.008967e-01 109 1.179412e-01 3.941996e-01 110 -1.868224e-02 1.179412e-01 111 4.105379e-01 -1.868224e-02 112 2.473711e-01 4.105379e-01 113 2.988617e-01 2.473711e-01 114 1.915381e-01 2.988617e-01 115 1.301660e-01 1.915381e-01 116 2.783967e-01 1.301660e-01 117 -3.215531e-02 2.783967e-01 118 1.057278e-01 -3.215531e-02 119 2.377126e-01 1.057278e-01 120 4.225495e-01 2.377126e-01 121 2.155930e-02 4.225495e-01 122 3.683878e-02 2.155930e-02 123 2.995254e-01 3.683878e-02 124 4.114048e-01 2.995254e-01 125 3.924738e-01 4.114048e-01 126 3.906513e-01 3.924738e-01 127 3.773140e-01 3.906513e-01 128 5.875245e-01 3.773140e-01 129 2.692519e-01 5.875245e-01 130 2.077493e-01 2.692519e-01 131 1.538742e-01 2.077493e-01 132 -3.573079e-02 1.538742e-01 133 3.661274e-01 -3.573079e-02 134 2.527761e-02 3.661274e-01 135 5.419457e-02 2.527761e-02 136 -1.543416e-01 5.419457e-02 137 -1.306768e-01 -1.543416e-01 138 5.048952e-02 -1.306768e-01 139 2.286626e-01 5.048952e-02 140 1.114334e-01 2.286626e-01 141 1.590722e-01 1.114334e-01 142 2.761063e-01 1.590722e-01 143 3.020163e-01 2.761063e-01 144 4.521665e-01 3.020163e-01 145 1.258336e-01 4.521665e-01 146 -3.683680e-01 1.258336e-01 147 -1.490385e-01 -3.683680e-01 148 -2.052342e-01 -1.490385e-01 149 1.251594e-01 -2.052342e-01 150 5.370414e-02 1.251594e-01 151 4.293613e-02 5.370414e-02 152 9.681676e-02 4.293613e-02 153 1.300858e-01 9.681676e-02 154 1.085138e-01 1.300858e-01 155 1.364602e-02 1.085138e-01 156 2.177015e-01 1.364602e-02 157 -2.723634e-01 2.177015e-01 158 3.843002e-02 -2.723634e-01 159 1.340091e-01 3.843002e-02 160 -1.390827e-01 1.340091e-01 161 -5.206970e-02 -1.390827e-01 162 5.197917e-02 -5.206970e-02 163 2.096216e-01 5.197917e-02 164 -4.147645e-01 2.096216e-01 165 -4.607095e-01 -4.147645e-01 166 -2.255988e-01 -4.607095e-01 167 -1.080005e-01 -2.255988e-01 168 -9.299840e-01 -1.080005e-01 169 -2.268510e-01 -9.299840e-01 170 -1.133500e-01 -2.268510e-01 171 -7.842007e-01 -1.133500e-01 172 -8.224097e-01 -7.842007e-01 173 -8.594059e-01 -8.224097e-01 174 -8.579998e-01 -8.594059e-01 175 -8.205207e-01 -8.579998e-01 176 -7.629323e-01 -8.205207e-01 177 3.559368e-01 -7.629323e-01 178 2.980180e-01 3.559368e-01 179 5.349723e-02 2.980180e-01 180 2.198247e-01 5.349723e-02 181 1.168856e-01 2.198247e-01 182 2.908347e-01 1.168856e-01 183 -6.071605e-01 2.908347e-01 184 -6.540412e-01 -6.071605e-01 185 -5.964118e-01 -6.540412e-01 186 -4.287819e-01 -5.964118e-01 187 -4.585722e-01 -4.287819e-01 188 -4.243744e-01 -4.585722e-01 189 -4.046425e-01 -4.243744e-01 190 -6.579624e-01 -4.046425e-01 191 -7.133772e-01 -6.579624e-01 192 1.892868e-01 -7.133772e-01 193 -2.739585e-01 1.892868e-01 194 -5.450862e-01 -2.739585e-01 > plot(z,main=paste('Residual Lag plot, lowess, and regression line'), ylab='values of Residuals', xlab='lagged values of Residuals') > lines(lowess(z)) > abline(lm(z)) > grid() > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/7cwzw1386779956.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > acf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Autocorrelation Function') > grid() > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/8o7hd1386779956.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > pacf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Partial Autocorrelation Function') > grid() > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/9k6ab1386779956.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > opar <- par(mfrow = c(2,2), oma = c(0, 0, 1.1, 0)) > plot(mylm, las = 1, sub='Residual Diagnostics') > par(opar) > dev.off() null device 1 > if (n > n25) { + postscript(file="/var/wessaorg/rcomp/tmp/10tibr1386779956.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) + plot(kp3:nmkm3,gqarr[,2], main='Goldfeld-Quandt test',ylab='2-sided p-value',xlab='breakpoint') + grid() + dev.off() + } null device 1 > > #Note: the /var/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/wessaorg/rcomp/createtable") > > a<-table.start() > a<-table.row.start(a) > a<-table.element(a, 'Multiple Linear Regression - Estimated Regression Equation', 1, TRUE) > a<-table.row.end(a) > myeq <- colnames(x)[1] > myeq <- paste(myeq, '[t] = ', sep='') > for (i in 1:k){ + if (mysum$coefficients[i,1] > 0) myeq <- paste(myeq, '+', '') + myeq <- paste(myeq, signif(mysum$coefficients[i,1],6), sep=' ') + if (rownames(mysum$coefficients)[i] != '(Intercept)') { + myeq <- paste(myeq, rownames(mysum$coefficients)[i], sep='') + if (rownames(mysum$coefficients)[i] != 't') myeq <- paste(myeq, '[t]', sep='') + } + } > myeq <- paste(myeq, ' + e[t]') > a<-table.row.start(a) > a<-table.element(a, myeq) > a<-table.row.end(a) > a<-table.end(a) > table.save(a,file="/var/wessaorg/rcomp/tmp/11m01g1386779956.tab") > a<-table.start() > a<-table.row.start(a) > a<-table.element(a,hyperlink('http://www.xycoon.com/ols1.htm','Multiple Linear Regression - Ordinary Least Squares',''), 6, TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'Variable',header=TRUE) > a<-table.element(a,'Parameter',header=TRUE) > a<-table.element(a,'S.D.',header=TRUE) > a<-table.element(a,'T-STAT
H0: parameter = 0',header=TRUE) > a<-table.element(a,'2-tail p-value',header=TRUE) > a<-table.element(a,'1-tail p-value',header=TRUE) > a<-table.row.end(a) > for (i in 1:k){ + a<-table.row.start(a) + a<-table.element(a,rownames(mysum$coefficients)[i],header=TRUE) + a<-table.element(a,signif(mysum$coefficients[i,1],6)) + a<-table.element(a, signif(mysum$coefficients[i,2],6)) + a<-table.element(a, signif(mysum$coefficients[i,3],4)) + a<-table.element(a, signif(mysum$coefficients[i,4],6)) + a<-table.element(a, signif(mysum$coefficients[i,4]/2,6)) + a<-table.row.end(a) + } > a<-table.end(a) > table.save(a,file="/var/wessaorg/rcomp/tmp/126moq1386779956.tab") > a<-table.start() > a<-table.row.start(a) > a<-table.element(a, 'Multiple Linear Regression - Regression Statistics', 2, TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a, 'Multiple R',1,TRUE) > a<-table.element(a, signif(sqrt(mysum$r.squared),6)) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a, 'R-squared',1,TRUE) > a<-table.element(a, signif(mysum$r.squared,6)) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a, 'Adjusted R-squared',1,TRUE) > a<-table.element(a, signif(mysum$adj.r.squared,6)) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a, 'F-TEST (value)',1,TRUE) > a<-table.element(a, signif(mysum$fstatistic[1],6)) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a, 'F-TEST (DF numerator)',1,TRUE) > a<-table.element(a, signif(mysum$fstatistic[2],6)) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a, 'F-TEST (DF denominator)',1,TRUE) > a<-table.element(a, signif(mysum$fstatistic[3],6)) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a, 'p-value',1,TRUE) > a<-table.element(a, signif(1-pf(mysum$fstatistic[1],mysum$fstatistic[2],mysum$fstatistic[3]),6)) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a, 'Multiple Linear Regression - Residual Statistics', 2, TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a, 'Residual Standard Deviation',1,TRUE) > a<-table.element(a, signif(mysum$sigma,6)) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a, 'Sum Squared Residuals',1,TRUE) > a<-table.element(a, signif(sum(myerror*myerror),6)) > a<-table.row.end(a) > a<-table.end(a) > table.save(a,file="/var/wessaorg/rcomp/tmp/13jxw81386779956.tab") > a<-table.start() > a<-table.row.start(a) > a<-table.element(a, 'Multiple Linear Regression - Actuals, Interpolation, and Residuals', 4, TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a, 'Time or Index', 1, TRUE) > a<-table.element(a, 'Actuals', 1, TRUE) > a<-table.element(a, 'Interpolation
Forecast', 1, TRUE) > a<-table.element(a, 'Residuals
Prediction Error', 1, TRUE) > a<-table.row.end(a) > for (i in 1:n) { + a<-table.row.start(a) + a<-table.element(a,i, 1, TRUE) + a<-table.element(a,signif(x[i],6)) + a<-table.element(a,signif(x[i]-mysum$resid[i],6)) + a<-table.element(a,signif(mysum$resid[i],6)) + a<-table.row.end(a) + } > a<-table.end(a) > table.save(a,file="/var/wessaorg/rcomp/tmp/14g6g51386779956.tab") > if (n > n25) { + a<-table.start() + a<-table.row.start(a) + a<-table.element(a,'Goldfeld-Quandt test for Heteroskedasticity',4,TRUE) + a<-table.row.end(a) + a<-table.row.start(a) + a<-table.element(a,'p-values',header=TRUE) + a<-table.element(a,'Alternative Hypothesis',3,header=TRUE) + a<-table.row.end(a) + a<-table.row.start(a) + a<-table.element(a,'breakpoint index',header=TRUE) + a<-table.element(a,'greater',header=TRUE) + a<-table.element(a,'2-sided',header=TRUE) + a<-table.element(a,'less',header=TRUE) + a<-table.row.end(a) + for (mypoint in kp3:nmkm3) { + a<-table.row.start(a) + a<-table.element(a,mypoint,header=TRUE) + a<-table.element(a,signif(gqarr[mypoint-kp3+1,1],6)) + a<-table.element(a,signif(gqarr[mypoint-kp3+1,2],6)) + a<-table.element(a,signif(gqarr[mypoint-kp3+1,3],6)) + a<-table.row.end(a) + } + a<-table.end(a) + table.save(a,file="/var/wessaorg/rcomp/tmp/1540jd1386779956.tab") + a<-table.start() + a<-table.row.start(a) + a<-table.element(a,'Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity',4,TRUE) + a<-table.row.end(a) + a<-table.row.start(a) + a<-table.element(a,'Description',header=TRUE) + a<-table.element(a,'# significant tests',header=TRUE) + a<-table.element(a,'% significant tests',header=TRUE) + a<-table.element(a,'OK/NOK',header=TRUE) + a<-table.row.end(a) + a<-table.row.start(a) + a<-table.element(a,'1% type I error level',header=TRUE) + a<-table.element(a,signif(numsignificant1,6)) + a<-table.element(a,signif(numsignificant1/numgqtests,6)) + if (numsignificant1/numgqtests < 0.01) dum <- 'OK' else dum <- 'NOK' + a<-table.element(a,dum) + a<-table.row.end(a) + a<-table.row.start(a) + a<-table.element(a,'5% type I error level',header=TRUE) + a<-table.element(a,signif(numsignificant5,6)) + a<-table.element(a,signif(numsignificant5/numgqtests,6)) + if (numsignificant5/numgqtests < 0.05) dum <- 'OK' else dum <- 'NOK' + a<-table.element(a,dum) + a<-table.row.end(a) + a<-table.row.start(a) + a<-table.element(a,'10% type I error level',header=TRUE) + a<-table.element(a,signif(numsignificant10,6)) + a<-table.element(a,signif(numsignificant10/numgqtests,6)) + if (numsignificant10/numgqtests < 0.1) dum <- 'OK' else dum <- 'NOK' + a<-table.element(a,dum) + a<-table.row.end(a) + a<-table.end(a) + table.save(a,file="/var/wessaorg/rcomp/tmp/16wcif1386779956.tab") + } > > try(system("convert tmp/196hi1386779956.ps tmp/196hi1386779956.png",intern=TRUE)) character(0) > try(system("convert tmp/2k3991386779956.ps tmp/2k3991386779956.png",intern=TRUE)) character(0) > try(system("convert tmp/36zpz1386779956.ps tmp/36zpz1386779956.png",intern=TRUE)) character(0) > try(system("convert tmp/47bpn1386779956.ps tmp/47bpn1386779956.png",intern=TRUE)) character(0) > try(system("convert tmp/5el0f1386779956.ps tmp/5el0f1386779956.png",intern=TRUE)) character(0) > try(system("convert tmp/6d4qq1386779956.ps tmp/6d4qq1386779956.png",intern=TRUE)) character(0) > try(system("convert tmp/7cwzw1386779956.ps tmp/7cwzw1386779956.png",intern=TRUE)) character(0) > try(system("convert tmp/8o7hd1386779956.ps tmp/8o7hd1386779956.png",intern=TRUE)) character(0) > try(system("convert tmp/9k6ab1386779956.ps tmp/9k6ab1386779956.png",intern=TRUE)) character(0) > try(system("convert tmp/10tibr1386779956.ps tmp/10tibr1386779956.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 26.172 4.248 30.406