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(119.992 + ,157.302 + ,74.997 + ,0.00784 + ,0.00007 + ,0.0037 + ,0.00554 + ,0.01109 + ,0.04374 + ,0.426 + ,0.02182 + ,0.0313 + ,0.02971 + ,0.06545 + ,0.02211 + ,21.033 + ,1 + ,0.414783 + ,0.815285 + ,-4.813031 + ,0.266482 + ,2.301442 + ,0.284654 + ,122.4 + ,148.65 + ,113.819 + ,0.00968 + ,0.00008 + ,0.00465 + ,0.00696 + ,0.01394 + ,0.06134 + ,0.626 + ,0.03134 + ,0.04518 + ,0.04368 + ,0.09403 + ,0.01929 + ,19.085 + ,1 + ,0.458359 + ,0.819521 + ,-4.075192 + ,0.33559 + ,2.486855 + ,0.368674 + ,116.682 + ,131.111 + ,111.555 + ,0.0105 + ,0.00009 + ,0.00544 + ,0.00781 + ,0.01633 + ,0.05233 + ,0.482 + ,0.02757 + ,0.03858 + ,0.0359 + ,0.0827 + ,0.01309 + ,20.651 + ,1 + ,0.429895 + ,0.825288 + ,-4.443179 + ,0.311173 + ,2.342259 + ,0.332634 + ,116.676 + ,137.871 + ,111.366 + ,0.00997 + ,0.00009 + ,0.00502 + ,0.00698 + ,0.01505 + ,0.05492 + ,0.517 + ,0.02924 + ,0.04005 + ,0.03772 + ,0.08771 + ,0.01353 + ,20.644 + ,1 + ,0.434969 + ,0.819235 + ,-4.117501 + 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+ ,0.659132 + ,-6.710219 + ,0.149694 + ,1.91399 + ,0.121777 + ,201.774 + ,262.707 + ,78.228 + ,0.00694 + ,0.00003 + ,0.00412 + ,0.00396 + ,0.01235 + ,0.02574 + ,0.255 + ,0.01454 + ,0.01582 + ,0.01758 + ,0.04363 + ,0.04441 + ,19.368 + ,0 + ,0.508479 + ,0.683761 + ,-6.934474 + ,0.15989 + ,2.316346 + ,0.112838 + ,174.188 + ,230.978 + ,94.261 + ,0.00459 + ,0.00003 + ,0.00263 + ,0.00259 + ,0.0079 + ,0.04087 + ,0.405 + ,0.02336 + ,0.02498 + ,0.02745 + ,0.07008 + ,0.02764 + ,19.517 + ,0 + ,0.448439 + ,0.657899 + ,-6.538586 + ,0.121952 + ,2.657476 + ,0.13305 + ,209.516 + ,253.017 + ,89.488 + ,0.00564 + ,0.00003 + ,0.00331 + ,0.00292 + ,0.00994 + ,0.02751 + ,0.263 + ,0.01604 + ,0.01657 + ,0.01879 + ,0.04812 + ,0.0181 + ,19.147 + ,0 + ,0.431674 + ,0.683244 + ,-6.195325 + ,0.129303 + ,2.784312 + ,0.168895 + ,174.688 + ,240.005 + ,74.287 + ,0.0136 + ,0.00008 + ,0.00624 + ,0.00564 + ,0.01873 + ,0.02308 + ,0.256 + ,0.01268 + ,0.01365 + ,0.01667 + ,0.03804 + ,0.10715 + ,17.883 + ,0 + ,0.407567 + ,0.655683 + ,-6.787197 + ,0.158453 + ,2.679772 + ,0.131728 + ,198.764 + ,396.961 + ,74.904 + ,0.0074 + ,0.00004 + ,0.0037 + ,0.0039 + ,0.01109 + ,0.02296 + ,0.241 + ,0.01265 + ,0.01321 + ,0.01588 + ,0.03794 + ,0.07223 + ,19.02 + ,0 + ,0.451221 + ,0.643956 + ,-6.744577 + ,0.207454 + ,2.138608 + ,0.123306 + ,214.289 + ,260.277 + ,77.973 + ,0.00567 + ,0.00003 + ,0.00295 + ,0.00317 + ,0.00885 + ,0.01884 + ,0.19 + ,0.01026 + ,0.01161 + ,0.01373 + ,0.03078 + ,0.04398 + ,21.209 + ,0 + ,0.462803 + ,0.664357 + ,-5.724056 + ,0.190667 + ,2.555477 + ,0.148569) + ,dim=c(23 + ,195) + ,dimnames=list(c('MDVP:Fo(Hz)' + ,'MDVP:Fhi(Hz)' + ,'MDVP:Flo(Hz)' + ,'MDVP:Jitter(%)' + ,'MDVP:Jitter(Abs)' + ,'MDVP:RAP' + ,'MDVP:PPQ' + ,'Jitter:DDP' + ,'MDVP:Shimmer' + ,'MDVP:Shimmer(dB)' + ,'Shimmer:APQ3' + ,'Shimmer:APQ5' + ,'MDVP:APQ' + ,'Shimmer:DDA' + ,'NHR' + ,'HNR' + ,'status' + ,'RPDE' + ,'DFA' + ,'spread1' + ,'spread2' + ,'D2' + ,'PPE') + ,1:195)) > y <- array(NA,dim=c(23,195),dimnames=list(c('MDVP:Fo(Hz)','MDVP:Fhi(Hz)','MDVP:Flo(Hz)','MDVP:Jitter(%)','MDVP:Jitter(Abs)','MDVP:RAP','MDVP:PPQ','Jitter:DDP','MDVP:Shimmer','MDVP:Shimmer(dB)','Shimmer:APQ3','Shimmer:APQ5','MDVP:APQ','Shimmer:DDA','NHR','HNR','status','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 = '15' > 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 NHR MDVP:Fo(Hz) MDVP:Fhi(Hz) MDVP:Flo(Hz) MDVP:Jitter(%) 1 0.02211 119.992 157.302 74.997 0.00784 2 0.01929 122.400 148.650 113.819 0.00968 3 0.01309 116.682 131.111 111.555 0.01050 4 0.01353 116.676 137.871 111.366 0.00997 5 0.01767 116.014 141.781 110.655 0.01284 6 0.01222 120.552 131.162 113.787 0.00968 7 0.00607 120.267 137.244 114.820 0.00333 8 0.00344 107.332 113.840 104.315 0.00290 9 0.01070 95.730 132.068 91.754 0.00551 10 0.01022 95.056 120.103 91.226 0.00532 11 0.01166 88.333 112.240 84.072 0.00505 12 0.01141 91.904 115.871 86.292 0.00540 13 0.00581 136.926 159.866 131.276 0.00293 14 0.01041 139.173 179.139 76.556 0.00390 15 0.00609 152.845 163.305 75.836 0.00294 16 0.00839 142.167 217.455 83.159 0.00369 17 0.01859 144.188 349.259 82.764 0.00544 18 0.02919 168.778 232.181 75.603 0.00718 19 0.03160 153.046 175.829 68.623 0.00742 20 0.03365 156.405 189.398 142.822 0.00768 21 0.03871 153.848 165.738 65.782 0.00840 22 0.01849 153.880 172.860 78.128 0.00480 23 0.01280 167.930 193.221 79.068 0.00442 24 0.01840 173.917 192.735 86.180 0.00476 25 0.01778 163.656 200.841 76.779 0.00742 26 0.02887 104.400 206.002 77.968 0.00633 27 0.01095 171.041 208.313 75.501 0.00455 28 0.01328 146.845 208.701 81.737 0.00496 29 0.00677 155.358 227.383 80.055 0.00310 30 0.01170 162.568 198.346 77.630 0.00502 31 0.00339 197.076 206.896 192.055 0.00289 32 0.00167 199.228 209.512 192.091 0.00241 33 0.00119 198.383 215.203 193.104 0.00212 34 0.00072 202.266 211.604 197.079 0.00180 35 0.00065 203.184 211.526 196.160 0.00178 36 0.00135 201.464 210.565 195.708 0.00198 37 0.00586 177.876 192.921 168.013 0.00411 38 0.00340 176.170 185.604 163.564 0.00369 39 0.00231 180.198 201.249 175.456 0.00284 40 0.00265 187.733 202.324 173.015 0.00316 41 0.00231 186.163 197.724 177.584 0.00298 42 0.00257 184.055 196.537 166.977 0.00258 43 0.00740 237.226 247.326 225.227 0.00298 44 0.00675 241.404 248.834 232.483 0.00281 45 0.00454 243.439 250.912 232.435 0.00210 46 0.00476 242.852 255.034 227.911 0.00225 47 0.00476 245.510 262.090 231.848 0.00235 48 0.00432 252.455 261.487 182.786 0.00185 49 0.00839 122.188 128.611 115.765 0.00524 50 0.00462 122.964 130.049 114.676 0.00428 51 0.00479 124.445 135.069 117.495 0.00431 52 0.00474 126.344 134.231 112.773 0.00448 53 0.00481 128.001 138.052 122.080 0.00436 54 0.00484 129.336 139.867 118.604 0.00490 55 0.01036 108.807 134.656 102.874 0.00761 56 0.01180 109.860 126.358 104.437 0.00874 57 0.00969 110.417 131.067 103.370 0.00784 58 0.00681 117.274 129.916 110.402 0.00752 59 0.00786 116.879 131.897 108.153 0.00788 60 0.01143 114.847 271.314 104.680 0.00867 61 0.00871 209.144 237.494 109.379 0.00282 62 0.00301 223.365 238.987 98.664 0.00264 63 0.00340 222.236 231.345 205.495 0.00266 64 0.00351 228.832 234.619 223.634 0.00296 65 0.00300 229.401 252.221 221.156 0.00205 66 0.00420 228.969 239.541 113.201 0.00238 67 0.02183 140.341 159.774 67.021 0.00817 68 0.02659 136.969 166.607 66.004 0.00923 69 0.04882 143.533 162.215 65.809 0.01101 70 0.02431 148.090 162.824 67.343 0.00762 71 0.02599 142.729 162.408 65.476 0.00831 72 0.03361 136.358 176.595 65.750 0.00971 73 0.00442 120.080 139.710 111.208 0.00405 74 0.00623 112.014 588.518 107.024 0.00533 75 0.00479 110.793 128.101 107.316 0.00494 76 0.00472 110.707 122.611 105.007 0.00516 77 0.00905 112.876 148.826 106.981 0.00500 78 0.00420 110.568 125.394 106.821 0.00462 79 0.01062 95.385 102.145 90.264 0.00608 80 0.02220 100.770 115.697 85.545 0.01038 81 0.01823 96.106 108.664 84.510 0.00694 82 0.01825 95.605 107.715 87.549 0.00702 83 0.01237 100.960 110.019 95.628 0.00606 84 0.00882 98.804 102.305 87.804 0.00432 85 0.05470 176.858 205.560 75.344 0.00747 86 0.02782 180.978 200.125 155.495 0.00406 87 0.03151 178.222 202.450 141.047 0.00321 88 0.04824 176.281 227.381 125.610 0.00520 89 0.04214 173.898 211.350 74.677 0.00448 90 0.07223 179.711 225.930 144.878 0.00709 91 0.08725 166.605 206.008 78.032 0.00742 92 0.01658 151.955 163.335 147.226 0.00419 93 0.01914 148.272 164.989 142.299 0.00459 94 0.01211 152.125 161.469 76.596 0.00382 95 0.00850 157.821 172.975 68.401 0.00358 96 0.01018 157.447 163.267 149.605 0.00369 97 0.00852 159.116 168.913 144.811 0.00342 98 0.08151 125.036 143.946 116.187 0.01280 99 0.10323 125.791 140.557 96.206 0.01378 100 0.16744 126.512 141.756 99.770 0.01936 101 0.31482 125.641 141.068 116.346 0.03316 102 0.11843 128.451 150.449 75.632 0.01551 103 0.25930 139.224 586.567 66.157 0.03011 104 0.00495 150.258 154.609 75.349 0.00248 105 0.00243 154.003 160.267 128.621 0.00183 106 0.00578 149.689 160.368 133.608 0.00257 107 0.00233 155.078 163.736 144.148 0.00168 108 0.00659 151.884 157.765 133.751 0.00258 109 0.00238 151.989 157.339 132.857 0.00174 110 0.00947 193.030 208.900 80.297 0.00766 111 0.00704 200.714 223.982 89.686 0.00621 112 0.00830 208.519 220.315 199.020 0.00609 113 0.01316 204.664 221.300 189.621 0.00841 114 0.00620 210.141 232.706 185.258 0.00534 115 0.01048 206.327 226.355 92.020 0.00495 116 0.06051 151.872 492.892 69.085 0.00856 117 0.01554 158.219 442.557 71.948 0.00476 118 0.01802 170.756 450.247 79.032 0.00555 119 0.00856 178.285 442.824 82.063 0.00462 120 0.00681 217.116 233.481 93.978 0.00404 121 0.02350 128.940 479.697 88.251 0.00581 122 0.01161 176.824 215.293 83.961 0.00460 123 0.01968 138.190 203.522 83.340 0.00704 124 0.01813 182.018 197.173 79.187 0.00842 125 0.02020 156.239 195.107 79.820 0.00694 126 0.01874 145.174 198.109 80.637 0.00733 127 0.01794 138.145 197.238 81.114 0.00544 128 0.01796 166.888 198.966 79.512 0.00638 129 0.01724 119.031 127.533 109.216 0.00440 130 0.00487 120.078 126.632 105.667 0.00270 131 0.01610 120.289 128.143 100.209 0.00492 132 0.01015 120.256 125.306 104.773 0.00407 133 0.00903 119.056 125.213 86.795 0.00346 134 0.00504 118.747 123.723 109.836 0.00331 135 0.03031 106.516 112.777 93.105 0.00589 136 0.02529 110.453 127.611 105.554 0.00494 137 0.02278 113.400 133.344 107.816 0.00451 138 0.03690 113.166 130.270 100.673 0.00502 139 0.02629 112.239 126.609 104.095 0.00472 140 0.01827 116.150 131.731 109.815 0.00381 141 0.02485 170.368 268.796 79.543 0.00571 142 0.04238 208.083 253.792 91.802 0.00757 143 0.01728 198.458 219.290 148.691 0.00376 144 0.02010 202.805 231.508 86.232 0.00370 145 0.01049 202.544 241.350 164.168 0.00254 146 0.01493 223.361 263.872 87.638 0.00352 147 0.07530 169.774 191.759 151.451 0.01568 148 0.06057 183.520 216.814 161.340 0.01466 149 0.08069 188.620 216.302 165.982 0.01719 150 0.07889 202.632 565.740 177.258 0.01627 151 0.10952 186.695 211.961 149.442 0.01872 152 0.21713 192.818 224.429 168.793 0.03107 153 0.16265 198.116 233.099 174.478 0.02714 154 0.04179 121.345 139.644 98.250 0.00684 155 0.04611 119.100 128.442 88.833 0.00692 156 0.02631 117.870 127.349 95.654 0.00647 157 0.03191 122.336 142.369 94.794 0.00727 158 0.10748 117.963 134.209 100.757 0.01813 159 0.03828 126.144 154.284 97.543 0.00975 160 0.02663 127.930 138.752 112.173 0.00605 161 0.02073 114.238 124.393 77.022 0.00581 162 0.02810 115.322 135.738 107.802 0.00619 163 0.02707 114.554 126.778 91.121 0.00651 164 0.01435 112.150 131.669 97.527 0.00519 165 0.03882 102.273 142.830 85.902 0.00907 166 0.00620 236.200 244.663 102.137 0.00277 167 0.00533 237.323 243.709 229.256 0.00303 168 0.00910 260.105 264.919 237.303 0.00339 169 0.01337 197.569 217.627 90.794 0.00803 170 0.00965 240.301 245.135 219.783 0.00517 171 0.01049 244.990 272.210 239.170 0.00451 172 0.00435 112.547 133.374 105.715 0.00355 173 0.00430 110.739 113.597 100.139 0.00356 174 0.00478 113.715 116.443 96.913 0.00349 175 0.00590 117.004 144.466 99.923 0.00353 176 0.00401 115.380 123.109 108.634 0.00332 177 0.00415 116.388 129.038 108.970 0.00346 178 0.00570 151.737 190.204 129.859 0.00314 179 0.00488 148.790 158.359 138.990 0.00309 180 0.00540 148.143 155.982 135.041 0.00392 181 0.00611 150.440 163.441 144.736 0.00396 182 0.00639 148.462 161.078 141.998 0.00397 183 0.00595 149.818 163.417 144.786 0.00336 184 0.00955 117.226 123.925 106.656 0.00417 185 0.01179 116.848 217.552 99.503 0.00531 186 0.00737 116.286 177.291 96.983 0.00314 187 0.01397 116.556 592.030 86.228 0.00496 188 0.00680 116.342 581.289 94.246 0.00267 189 0.00703 114.563 119.167 86.647 0.00327 190 0.04441 201.774 262.707 78.228 0.00694 191 0.02764 174.188 230.978 94.261 0.00459 192 0.01810 209.516 253.017 89.488 0.00564 193 0.10715 174.688 240.005 74.287 0.01360 194 0.07223 198.764 396.961 74.904 0.00740 195 0.04398 214.289 260.277 77.973 0.00567 MDVP:Jitter(Abs) MDVP:RAP MDVP:PPQ Jitter:DDP MDVP:Shimmer MDVP:Shimmer(dB) 1 7.0e-05 0.00370 0.00554 0.01109 0.04374 0.426 2 8.0e-05 0.00465 0.00696 0.01394 0.06134 0.626 3 9.0e-05 0.00544 0.00781 0.01633 0.05233 0.482 4 9.0e-05 0.00502 0.00698 0.01505 0.05492 0.517 5 1.1e-04 0.00655 0.00908 0.01966 0.06425 0.584 6 8.0e-05 0.00463 0.00750 0.01388 0.04701 0.456 7 3.0e-05 0.00155 0.00202 0.00466 0.01608 0.140 8 3.0e-05 0.00144 0.00182 0.00431 0.01567 0.134 9 6.0e-05 0.00293 0.00332 0.00880 0.02093 0.191 10 6.0e-05 0.00268 0.00332 0.00803 0.02838 0.255 11 6.0e-05 0.00254 0.00330 0.00763 0.02143 0.197 12 6.0e-05 0.00281 0.00336 0.00844 0.02752 0.249 13 2.0e-05 0.00118 0.00153 0.00355 0.01259 0.112 14 3.0e-05 0.00165 0.00208 0.00496 0.01642 0.154 15 2.0e-05 0.00121 0.00149 0.00364 0.01828 0.158 16 3.0e-05 0.00157 0.00203 0.00471 0.01503 0.126 17 4.0e-05 0.00211 0.00292 0.00632 0.02047 0.192 18 4.0e-05 0.00284 0.00387 0.00853 0.03327 0.348 19 5.0e-05 0.00364 0.00432 0.01092 0.05517 0.542 20 5.0e-05 0.00372 0.00399 0.01116 0.03995 0.348 21 5.0e-05 0.00428 0.00450 0.01285 0.03810 0.328 22 3.0e-05 0.00232 0.00267 0.00696 0.04137 0.370 23 3.0e-05 0.00220 0.00247 0.00661 0.04351 0.377 24 3.0e-05 0.00221 0.00258 0.00663 0.04192 0.364 25 5.0e-05 0.00380 0.00390 0.01140 0.01659 0.164 26 6.0e-05 0.00316 0.00375 0.00948 0.03767 0.381 27 3.0e-05 0.00250 0.00234 0.00750 0.01966 0.186 28 3.0e-05 0.00250 0.00275 0.00749 0.01919 0.198 29 2.0e-05 0.00159 0.00176 0.00476 0.01718 0.161 30 3.0e-05 0.00280 0.00253 0.00841 0.01791 0.168 31 1.0e-05 0.00166 0.00168 0.00498 0.01098 0.097 32 1.0e-05 0.00134 0.00138 0.00402 0.01015 0.089 33 1.0e-05 0.00113 0.00135 0.00339 0.01263 0.111 34 9.0e-06 0.00093 0.00107 0.00278 0.00954 0.085 35 9.0e-06 0.00094 0.00106 0.00283 0.00958 0.085 36 1.0e-05 0.00105 0.00115 0.00314 0.01194 0.107 37 2.0e-05 0.00233 0.00241 0.00700 0.02126 0.189 38 2.0e-05 0.00205 0.00218 0.00616 0.01851 0.168 39 2.0e-05 0.00153 0.00166 0.00459 0.01444 0.131 40 2.0e-05 0.00168 0.00182 0.00504 0.01663 0.151 41 2.0e-05 0.00165 0.00175 0.00496 0.01495 0.135 42 1.0e-05 0.00134 0.00147 0.00403 0.01463 0.132 43 1.0e-05 0.00169 0.00182 0.00507 0.01752 0.164 44 1.0e-05 0.00157 0.00173 0.00470 0.01760 0.154 45 9.0e-06 0.00109 0.00137 0.00327 0.01419 0.126 46 9.0e-06 0.00117 0.00139 0.00350 0.01494 0.134 47 1.0e-05 0.00127 0.00148 0.00380 0.01608 0.141 48 7.0e-06 0.00092 0.00113 0.00276 0.01152 0.103 49 4.0e-05 0.00169 0.00203 0.00507 0.01613 0.143 50 3.0e-05 0.00124 0.00155 0.00373 0.01681 0.154 51 3.0e-05 0.00141 0.00167 0.00422 0.02184 0.197 52 4.0e-05 0.00131 0.00169 0.00393 0.02033 0.185 53 3.0e-05 0.00137 0.00166 0.00411 0.02297 0.210 54 4.0e-05 0.00165 0.00183 0.00495 0.02498 0.228 55 7.0e-05 0.00349 0.00486 0.01046 0.02719 0.255 56 8.0e-05 0.00398 0.00539 0.01193 0.03209 0.307 57 7.0e-05 0.00352 0.00514 0.01056 0.03715 0.334 58 6.0e-05 0.00299 0.00469 0.00898 0.02293 0.221 59 7.0e-05 0.00334 0.00493 0.01003 0.02645 0.265 60 8.0e-05 0.00373 0.00520 0.01120 0.03225 0.350 61 1.0e-05 0.00147 0.00152 0.00442 0.01861 0.170 62 1.0e-05 0.00154 0.00151 0.00461 0.01906 0.165 63 1.0e-05 0.00152 0.00144 0.00457 0.01643 0.145 64 1.0e-05 0.00175 0.00155 0.00526 0.01644 0.145 65 9.0e-06 0.00114 0.00113 0.00342 0.01457 0.129 66 1.0e-05 0.00136 0.00140 0.00408 0.01745 0.154 67 6.0e-05 0.00430 0.00440 0.01289 0.03198 0.313 68 7.0e-05 0.00507 0.00463 0.01520 0.03111 0.308 69 8.0e-05 0.00647 0.00467 0.01941 0.05384 0.478 70 5.0e-05 0.00467 0.00354 0.01400 0.05428 0.497 71 6.0e-05 0.00469 0.00419 0.01407 0.03485 0.365 72 7.0e-05 0.00534 0.00478 0.01601 0.04978 0.483 73 3.0e-05 0.00180 0.00220 0.00540 0.01706 0.152 74 5.0e-05 0.00268 0.00329 0.00805 0.02448 0.226 75 4.0e-05 0.00260 0.00283 0.00780 0.02442 0.216 76 5.0e-05 0.00277 0.00289 0.00831 0.02215 0.206 77 4.0e-05 0.00270 0.00289 0.00810 0.03999 0.350 78 4.0e-05 0.00226 0.00280 0.00677 0.02199 0.197 79 6.0e-05 0.00331 0.00332 0.00994 0.03202 0.263 80 1.0e-04 0.00622 0.00576 0.01865 0.03121 0.361 81 7.0e-05 0.00389 0.00415 0.01168 0.04024 0.364 82 7.0e-05 0.00428 0.00371 0.01283 0.03156 0.296 83 6.0e-05 0.00351 0.00348 0.01053 0.02427 0.216 84 4.0e-05 0.00247 0.00258 0.00742 0.02223 0.202 85 4.0e-05 0.00418 0.00420 0.01254 0.04795 0.435 86 2.0e-05 0.00220 0.00244 0.00659 0.03852 0.331 87 2.0e-05 0.00163 0.00194 0.00488 0.03759 0.327 88 3.0e-05 0.00287 0.00312 0.00862 0.06511 0.580 89 3.0e-05 0.00237 0.00254 0.00710 0.06727 0.650 90 4.0e-05 0.00391 0.00419 0.01172 0.04313 0.442 91 4.0e-05 0.00387 0.00453 0.01161 0.06640 0.634 92 3.0e-05 0.00224 0.00227 0.00672 0.07959 0.772 93 3.0e-05 0.00250 0.00256 0.00750 0.04190 0.383 94 3.0e-05 0.00191 0.00226 0.00574 0.05925 0.637 95 2.0e-05 0.00196 0.00196 0.00587 0.03716 0.307 96 2.0e-05 0.00201 0.00197 0.00602 0.03272 0.283 97 2.0e-05 0.00178 0.00184 0.00535 0.03381 0.307 98 1.0e-04 0.00743 0.00623 0.02228 0.03886 0.342 99 1.1e-04 0.00826 0.00655 0.02478 0.04689 0.422 100 1.5e-04 0.01159 0.00990 0.03476 0.06734 0.659 101 2.6e-04 0.02144 0.01522 0.06433 0.09178 0.891 102 1.2e-04 0.00905 0.00909 0.02716 0.06170 0.584 103 2.2e-04 0.01854 0.01628 0.05563 0.09419 0.930 104 2.0e-05 0.00105 0.00136 0.00315 0.01131 0.107 105 1.0e-05 0.00076 0.00100 0.00229 0.01030 0.094 106 2.0e-05 0.00116 0.00134 0.00349 0.01346 0.126 107 1.0e-05 0.00068 0.00092 0.00204 0.01064 0.097 108 2.0e-05 0.00115 0.00122 0.00346 0.01450 0.137 109 1.0e-05 0.00075 0.00096 0.00225 0.01024 0.093 110 4.0e-05 0.00450 0.00389 0.01351 0.03044 0.275 111 3.0e-05 0.00371 0.00337 0.01112 0.02286 0.207 112 3.0e-05 0.00368 0.00339 0.01105 0.01761 0.155 113 4.0e-05 0.00502 0.00485 0.01506 0.02378 0.210 114 3.0e-05 0.00321 0.00280 0.00964 0.01680 0.149 115 2.0e-05 0.00302 0.00246 0.00905 0.02105 0.209 116 6.0e-05 0.00404 0.00385 0.01211 0.01843 0.235 117 3.0e-05 0.00214 0.00207 0.00642 0.01458 0.148 118 3.0e-05 0.00244 0.00261 0.00731 0.01725 0.175 119 3.0e-05 0.00157 0.00194 0.00472 0.01279 0.129 120 2.0e-05 0.00127 0.00128 0.00381 0.01299 0.124 121 5.0e-05 0.00241 0.00314 0.00723 0.02008 0.221 122 3.0e-05 0.00209 0.00221 0.00628 0.01169 0.117 123 5.0e-05 0.00406 0.00398 0.01218 0.04479 0.441 124 5.0e-05 0.00506 0.00449 0.01517 0.02503 0.231 125 4.0e-05 0.00403 0.00395 0.01209 0.02343 0.224 126 5.0e-05 0.00414 0.00422 0.01242 0.02362 0.233 127 4.0e-05 0.00294 0.00327 0.00883 0.02791 0.246 128 4.0e-05 0.00368 0.00351 0.01104 0.02857 0.257 129 4.0e-05 0.00214 0.00192 0.00641 0.01033 0.098 130 2.0e-05 0.00116 0.00135 0.00349 0.01022 0.090 131 4.0e-05 0.00269 0.00238 0.00808 0.01412 0.125 132 3.0e-05 0.00224 0.00205 0.00671 0.01516 0.138 133 3.0e-05 0.00169 0.00170 0.00508 0.01201 0.106 134 3.0e-05 0.00168 0.00171 0.00504 0.01043 0.099 135 6.0e-05 0.00291 0.00319 0.00873 0.04932 0.441 136 4.0e-05 0.00244 0.00315 0.00731 0.04128 0.379 137 4.0e-05 0.00219 0.00283 0.00658 0.04879 0.431 138 4.0e-05 0.00257 0.00312 0.00772 0.05279 0.476 139 4.0e-05 0.00238 0.00290 0.00715 0.05643 0.517 140 3.0e-05 0.00181 0.00232 0.00542 0.03026 0.267 141 3.0e-05 0.00232 0.00269 0.00696 0.03273 0.281 142 4.0e-05 0.00428 0.00428 0.01285 0.06725 0.571 143 2.0e-05 0.00182 0.00215 0.00546 0.03527 0.297 144 2.0e-05 0.00189 0.00211 0.00568 0.01997 0.180 145 1.0e-05 0.00100 0.00133 0.00301 0.02662 0.228 146 2.0e-05 0.00169 0.00188 0.00506 0.02536 0.225 147 9.0e-05 0.00863 0.00946 0.02589 0.08143 0.821 148 8.0e-05 0.00849 0.00819 0.02546 0.06050 0.618 149 9.0e-05 0.00996 0.01027 0.02987 0.07118 0.722 150 8.0e-05 0.00919 0.00963 0.02756 0.07170 0.833 151 1.0e-04 0.01075 0.01154 0.03225 0.05830 0.784 152 1.6e-04 0.01800 0.01958 0.05401 0.11908 1.302 153 1.4e-04 0.01568 0.01699 0.04705 0.08684 1.018 154 6.0e-05 0.00388 0.00332 0.01164 0.02534 0.241 155 6.0e-05 0.00393 0.00300 0.01179 0.02682 0.236 156 5.0e-05 0.00356 0.00300 0.01067 0.03087 0.276 157 6.0e-05 0.00415 0.00339 0.01246 0.02293 0.223 158 1.5e-04 0.01117 0.00718 0.03351 0.04912 0.438 159 8.0e-05 0.00593 0.00454 0.01778 0.02852 0.266 160 5.0e-05 0.00321 0.00318 0.00962 0.03235 0.339 161 5.0e-05 0.00299 0.00316 0.00896 0.04009 0.406 162 5.0e-05 0.00352 0.00329 0.01057 0.03273 0.325 163 6.0e-05 0.00366 0.00340 0.01097 0.03658 0.369 164 5.0e-05 0.00291 0.00284 0.00873 0.01756 0.155 165 9.0e-05 0.00493 0.00461 0.01480 0.02814 0.272 166 1.0e-05 0.00154 0.00153 0.00462 0.02448 0.217 167 1.0e-05 0.00173 0.00159 0.00519 0.01242 0.116 168 1.0e-05 0.00205 0.00186 0.00616 0.02030 0.197 169 4.0e-05 0.00490 0.00448 0.01470 0.02177 0.189 170 2.0e-05 0.00316 0.00283 0.00949 0.02018 0.212 171 2.0e-05 0.00279 0.00237 0.00837 0.01897 0.181 172 3.0e-05 0.00166 0.00190 0.00499 0.01358 0.129 173 3.0e-05 0.00170 0.00200 0.00510 0.01484 0.133 174 3.0e-05 0.00171 0.00203 0.00514 0.01472 0.133 175 3.0e-05 0.00176 0.00218 0.00528 0.01657 0.145 176 3.0e-05 0.00160 0.00199 0.00480 0.01503 0.137 177 3.0e-05 0.00169 0.00213 0.00507 0.01725 0.155 178 2.0e-05 0.00135 0.00162 0.00406 0.01469 0.132 179 2.0e-05 0.00152 0.00186 0.00456 0.01574 0.142 180 3.0e-05 0.00204 0.00231 0.00612 0.01450 0.131 181 3.0e-05 0.00206 0.00233 0.00619 0.02551 0.237 182 3.0e-05 0.00202 0.00235 0.00605 0.01831 0.163 183 2.0e-05 0.00174 0.00198 0.00521 0.02145 0.198 184 4.0e-05 0.00186 0.00270 0.00558 0.01909 0.171 185 5.0e-05 0.00260 0.00346 0.00780 0.01795 0.163 186 3.0e-05 0.00134 0.00192 0.00403 0.01564 0.136 187 4.0e-05 0.00254 0.00263 0.00762 0.01660 0.154 188 2.0e-05 0.00115 0.00148 0.00345 0.01300 0.117 189 3.0e-05 0.00146 0.00184 0.00439 0.01185 0.106 190 3.0e-05 0.00412 0.00396 0.01235 0.02574 0.255 191 3.0e-05 0.00263 0.00259 0.00790 0.04087 0.405 192 3.0e-05 0.00331 0.00292 0.00994 0.02751 0.263 193 8.0e-05 0.00624 0.00564 0.01873 0.02308 0.256 194 4.0e-05 0.00370 0.00390 0.01109 0.02296 0.241 195 3.0e-05 0.00295 0.00317 0.00885 0.01884 0.190 Shimmer:APQ3 Shimmer:APQ5 MDVP:APQ Shimmer:DDA HNR status RPDE 1 0.02182 0.03130 0.02971 0.06545 21.033 1 0.414783 2 0.03134 0.04518 0.04368 0.09403 19.085 1 0.458359 3 0.02757 0.03858 0.03590 0.08270 20.651 1 0.429895 4 0.02924 0.04005 0.03772 0.08771 20.644 1 0.434969 5 0.03490 0.04825 0.04465 0.10470 19.649 1 0.417356 6 0.02328 0.03526 0.03243 0.06985 21.378 1 0.415564 7 0.00779 0.00937 0.01351 0.02337 24.886 1 0.596040 8 0.00829 0.00946 0.01256 0.02487 26.892 1 0.637420 9 0.01073 0.01277 0.01717 0.03218 21.812 1 0.615551 10 0.01441 0.01725 0.02444 0.04324 21.862 1 0.547037 11 0.01079 0.01342 0.01892 0.03237 21.118 1 0.611137 12 0.01424 0.01641 0.02214 0.04272 21.414 1 0.583390 13 0.00656 0.00717 0.01140 0.01968 25.703 1 0.460600 14 0.00728 0.00932 0.01797 0.02184 24.889 1 0.430166 15 0.01064 0.00972 0.01246 0.03191 24.922 1 0.474791 16 0.00772 0.00888 0.01359 0.02316 25.175 1 0.565924 17 0.00969 0.01200 0.02074 0.02908 22.333 1 0.567380 18 0.01441 0.01893 0.03430 0.04322 20.376 1 0.631099 19 0.02471 0.03572 0.05767 0.07413 17.280 1 0.665318 20 0.01721 0.02374 0.04310 0.05164 17.153 1 0.649554 21 0.01667 0.02383 0.04055 0.05000 17.536 1 0.660125 22 0.02021 0.02591 0.04525 0.06062 19.493 1 0.629017 23 0.02228 0.02540 0.04246 0.06685 22.468 1 0.619060 24 0.02187 0.02470 0.03772 0.06562 20.422 1 0.537264 25 0.00738 0.00948 0.01497 0.02214 23.831 1 0.397937 26 0.01732 0.02245 0.03780 0.05197 22.066 1 0.522746 27 0.00889 0.01169 0.01872 0.02666 25.908 1 0.418622 28 0.00883 0.01144 0.01826 0.02650 25.119 1 0.358773 29 0.00769 0.01012 0.01661 0.02307 25.970 1 0.470478 30 0.00793 0.01057 0.01799 0.02380 25.678 1 0.427785 31 0.00563 0.00680 0.00802 0.01689 26.775 0 0.422229 32 0.00504 0.00641 0.00762 0.01513 30.940 0 0.432439 33 0.00640 0.00825 0.00951 0.01919 30.775 0 0.465946 34 0.00469 0.00606 0.00719 0.01407 32.684 0 0.368535 35 0.00468 0.00610 0.00726 0.01403 33.047 0 0.340068 36 0.00586 0.00760 0.00957 0.01758 31.732 0 0.344252 37 0.01154 0.01347 0.01612 0.03463 23.216 1 0.360148 38 0.00938 0.01160 0.01491 0.02814 24.951 1 0.341435 39 0.00726 0.00885 0.01190 0.02177 26.738 1 0.403884 40 0.00829 0.01003 0.01366 0.02488 26.310 1 0.396793 41 0.00774 0.00941 0.01233 0.02321 26.822 1 0.326480 42 0.00742 0.00901 0.01234 0.02226 26.453 1 0.306443 43 0.01035 0.01024 0.01133 0.03104 22.736 0 0.305062 44 0.01006 0.01038 0.01251 0.03017 23.145 0 0.457702 45 0.00777 0.00898 0.01033 0.02330 25.368 0 0.438296 46 0.00847 0.00879 0.01014 0.02542 25.032 0 0.431285 47 0.00906 0.00977 0.01149 0.02719 24.602 0 0.467489 48 0.00614 0.00730 0.00860 0.01841 26.805 0 0.610367 49 0.00855 0.00776 0.01433 0.02566 23.162 0 0.579597 50 0.00930 0.00802 0.01400 0.02789 24.971 0 0.538688 51 0.01241 0.01024 0.01685 0.03724 25.135 0 0.553134 52 0.01143 0.00959 0.01614 0.03429 25.030 0 0.507504 53 0.01323 0.01072 0.01677 0.03969 24.692 0 0.459766 54 0.01396 0.01219 0.01947 0.04188 25.429 0 0.420383 55 0.01483 0.01609 0.02067 0.04450 21.028 1 0.536009 56 0.01789 0.01992 0.02454 0.05368 20.767 1 0.558586 57 0.02032 0.02302 0.02802 0.06097 21.422 1 0.541781 58 0.01189 0.01459 0.01948 0.03568 22.817 1 0.530529 59 0.01394 0.01625 0.02137 0.04183 22.603 1 0.540049 60 0.01805 0.01974 0.02519 0.05414 21.660 1 0.547975 61 0.00975 0.01258 0.01382 0.02925 25.554 0 0.341788 62 0.01013 0.01296 0.01340 0.03039 26.138 0 0.447979 63 0.00867 0.01108 0.01200 0.02602 25.856 0 0.364867 64 0.00882 0.01075 0.01179 0.02647 25.964 0 0.256570 65 0.00769 0.00957 0.01016 0.02308 26.415 0 0.276850 66 0.00942 0.01160 0.01234 0.02827 24.547 0 0.305429 67 0.01830 0.01810 0.02428 0.05490 19.560 1 0.460139 68 0.01638 0.01759 0.02603 0.04914 19.979 1 0.498133 69 0.03152 0.02422 0.03392 0.09455 20.338 1 0.513237 70 0.03357 0.02494 0.03635 0.10070 21.718 1 0.487407 71 0.01868 0.01906 0.02949 0.05605 20.264 1 0.489345 72 0.02749 0.02466 0.03736 0.08247 18.570 1 0.543299 73 0.00974 0.00925 0.01345 0.02921 25.742 1 0.495954 74 0.01373 0.01375 0.01956 0.04120 24.178 1 0.509127 75 0.01432 0.01325 0.01831 0.04295 25.438 1 0.437031 76 0.01284 0.01219 0.01715 0.03851 25.197 1 0.463514 77 0.02413 0.02231 0.02704 0.07238 23.370 1 0.489538 78 0.01284 0.01199 0.01636 0.03852 25.820 1 0.429484 79 0.01803 0.01886 0.02455 0.05408 21.875 1 0.644954 80 0.01773 0.01783 0.02139 0.05320 19.200 1 0.594387 81 0.02266 0.02451 0.02876 0.06799 19.055 1 0.544805 82 0.01792 0.01841 0.02190 0.05377 19.659 1 0.576084 83 0.01371 0.01421 0.01751 0.04114 20.536 1 0.554610 84 0.01277 0.01343 0.01552 0.03831 22.244 1 0.576644 85 0.02679 0.03022 0.03510 0.08037 13.893 1 0.556494 86 0.02107 0.02493 0.02877 0.06321 16.176 1 0.583574 87 0.02073 0.02415 0.02784 0.06219 15.924 1 0.598714 88 0.03671 0.04159 0.04683 0.11012 13.922 1 0.602874 89 0.03788 0.04254 0.04802 0.11363 14.739 1 0.599371 90 0.02297 0.02768 0.03455 0.06892 11.866 1 0.590951 91 0.03650 0.04282 0.05114 0.10949 11.744 1 0.653410 92 0.04421 0.04962 0.05690 0.13262 19.664 1 0.501037 93 0.02383 0.02521 0.03051 0.07150 18.780 1 0.454444 94 0.03341 0.03794 0.04398 0.10024 20.969 1 0.447456 95 0.02062 0.02321 0.02764 0.06185 22.219 1 0.502380 96 0.01813 0.01909 0.02571 0.05439 21.693 1 0.447285 97 0.01806 0.02024 0.02809 0.05417 22.663 1 0.366329 98 0.02135 0.02174 0.03088 0.06406 15.338 1 0.629574 99 0.02542 0.02630 0.03908 0.07625 15.433 1 0.571010 100 0.03611 0.03963 0.05783 0.10833 12.435 1 0.638545 101 0.05358 0.04791 0.06196 0.16074 8.867 1 0.671299 102 0.03223 0.03672 0.05174 0.09669 15.060 1 0.639808 103 0.05551 0.05005 0.06023 0.16654 10.489 1 0.596362 104 0.00522 0.00659 0.01009 0.01567 26.759 1 0.296888 105 0.00469 0.00582 0.00871 0.01406 28.409 1 0.263654 106 0.00660 0.00818 0.01059 0.01979 27.421 1 0.365488 107 0.00522 0.00632 0.00928 0.01567 29.746 1 0.334171 108 0.00633 0.00788 0.01267 0.01898 26.833 1 0.393563 109 0.00455 0.00576 0.00993 0.01364 29.928 1 0.311369 110 0.01771 0.01815 0.02084 0.05312 21.934 1 0.497554 111 0.01192 0.01439 0.01852 0.03576 23.239 1 0.436084 112 0.00952 0.01058 0.01307 0.02855 22.407 1 0.338097 113 0.01277 0.01483 0.01767 0.03831 21.305 1 0.498877 114 0.00861 0.01017 0.01301 0.02583 23.671 1 0.441097 115 0.01107 0.01284 0.01604 0.03320 21.864 1 0.331508 116 0.00796 0.00832 0.01271 0.02389 23.693 1 0.407701 117 0.00606 0.00747 0.01312 0.01818 26.356 1 0.450798 118 0.00757 0.00971 0.01652 0.02270 25.690 1 0.486738 119 0.00617 0.00744 0.01151 0.01851 25.020 1 0.470422 120 0.00679 0.00631 0.01075 0.02038 24.581 1 0.462516 121 0.00849 0.01117 0.01734 0.02548 24.743 1 0.487756 122 0.00534 0.00630 0.01104 0.01603 27.166 1 0.400088 123 0.02587 0.02567 0.03220 0.07761 18.305 1 0.538016 124 0.01372 0.01580 0.01931 0.04115 18.784 1 0.589956 125 0.01289 0.01420 0.01720 0.03867 19.196 1 0.618663 126 0.01235 0.01495 0.01944 0.03706 18.857 1 0.637518 127 0.01484 0.01805 0.02259 0.04451 18.178 1 0.623209 128 0.01547 0.01859 0.02301 0.04641 18.330 1 0.585169 129 0.00538 0.00570 0.00811 0.01614 26.842 1 0.457541 130 0.00476 0.00588 0.00903 0.01428 26.369 1 0.491345 131 0.00703 0.00820 0.01194 0.02110 23.949 1 0.467160 132 0.00721 0.00815 0.01310 0.02164 26.017 1 0.468621 133 0.00633 0.00701 0.00915 0.01898 23.389 1 0.470972 134 0.00490 0.00621 0.00903 0.01471 25.619 1 0.482296 135 0.02683 0.03112 0.03651 0.08050 17.060 1 0.637814 136 0.02229 0.02592 0.03316 0.06688 17.707 1 0.653427 137 0.02385 0.02973 0.04370 0.07154 19.013 1 0.647900 138 0.02896 0.03347 0.04134 0.08689 16.747 1 0.625362 139 0.03070 0.03530 0.04451 0.09211 17.366 1 0.640945 140 0.01514 0.01812 0.02770 0.04543 18.801 1 0.624811 141 0.01713 0.01964 0.02824 0.05139 18.540 1 0.677131 142 0.04016 0.04003 0.04464 0.12047 15.648 1 0.606344 143 0.02055 0.02076 0.02530 0.06165 18.702 1 0.606273 144 0.01117 0.01177 0.01506 0.03350 18.687 1 0.536102 145 0.01475 0.01558 0.02006 0.04426 20.680 1 0.497480 146 0.01379 0.01478 0.01909 0.04137 20.366 1 0.566849 147 0.03804 0.05426 0.08808 0.11411 12.359 1 0.561610 148 0.02865 0.04101 0.06359 0.08595 14.367 1 0.478024 149 0.03474 0.04580 0.06824 0.10422 12.298 1 0.552870 150 0.03515 0.04265 0.06460 0.10546 14.989 1 0.427627 151 0.02699 0.03714 0.06259 0.08096 12.529 1 0.507826 152 0.05647 0.07940 0.13778 0.16942 8.441 1 0.625866 153 0.04284 0.05556 0.08318 0.12851 9.449 1 0.584164 154 0.01340 0.01399 0.02056 0.04019 21.520 1 0.566867 155 0.01484 0.01405 0.02018 0.04451 21.824 1 0.651680 156 0.01659 0.01804 0.02402 0.04977 22.431 1 0.628300 157 0.01205 0.01289 0.01771 0.03615 22.953 1 0.611679 158 0.02610 0.02161 0.02916 0.07830 19.075 1 0.630547 159 0.01500 0.01581 0.02157 0.04499 21.534 1 0.635015 160 0.01360 0.01650 0.03105 0.04079 19.651 1 0.654945 161 0.01579 0.01994 0.04114 0.04736 20.437 1 0.653139 162 0.01644 0.01722 0.02931 0.04933 19.388 1 0.577802 163 0.01864 0.01940 0.03091 0.05592 18.954 1 0.685151 164 0.00967 0.01033 0.01363 0.02902 21.219 1 0.557045 165 0.01579 0.01553 0.02073 0.04736 18.447 1 0.671378 166 0.01410 0.01426 0.01621 0.04231 24.078 0 0.469928 167 0.00696 0.00747 0.00882 0.02089 24.679 0 0.384868 168 0.01186 0.01230 0.01367 0.03557 21.083 0 0.440988 169 0.01279 0.01272 0.01439 0.03836 19.269 0 0.372222 170 0.01176 0.01191 0.01344 0.03529 21.020 0 0.371837 171 0.01084 0.01121 0.01255 0.03253 21.528 0 0.522812 172 0.00664 0.00786 0.01140 0.01992 26.436 0 0.413295 173 0.00754 0.00950 0.01285 0.02261 26.550 0 0.369090 174 0.00748 0.00905 0.01148 0.02245 26.547 0 0.380253 175 0.00881 0.01062 0.01318 0.02643 25.445 0 0.387482 176 0.00812 0.00933 0.01133 0.02436 26.005 0 0.405991 177 0.00874 0.01021 0.01331 0.02623 26.143 0 0.361232 178 0.00728 0.00886 0.01230 0.02184 24.151 1 0.396610 179 0.00839 0.00956 0.01309 0.02518 24.412 1 0.402591 180 0.00725 0.00876 0.01263 0.02175 23.683 1 0.398499 181 0.01321 0.01574 0.02148 0.03964 23.133 1 0.352396 182 0.00950 0.01103 0.01559 0.02849 22.866 1 0.408598 183 0.01155 0.01341 0.01666 0.03464 23.008 1 0.329577 184 0.00864 0.01223 0.01949 0.02592 23.079 0 0.603515 185 0.00810 0.01144 0.01756 0.02429 22.085 0 0.663842 186 0.00667 0.00990 0.01691 0.02001 24.199 0 0.598515 187 0.00820 0.00972 0.01491 0.02460 23.958 0 0.566424 188 0.00631 0.00789 0.01144 0.01892 25.023 0 0.528485 189 0.00557 0.00721 0.01095 0.01672 24.775 0 0.555303 190 0.01454 0.01582 0.01758 0.04363 19.368 0 0.508479 191 0.02336 0.02498 0.02745 0.07008 19.517 0 0.448439 192 0.01604 0.01657 0.01879 0.04812 19.147 0 0.431674 193 0.01268 0.01365 0.01667 0.03804 17.883 0 0.407567 194 0.01265 0.01321 0.01588 0.03794 19.020 0 0.451221 195 0.01026 0.01161 0.01373 0.03078 21.209 0 0.462803 DFA spread1 spread2 D2 PPE 1 0.815285 -4.813031 0.266482 2.301442 0.284654 2 0.819521 -4.075192 0.335590 2.486855 0.368674 3 0.825288 -4.443179 0.311173 2.342259 0.332634 4 0.819235 -4.117501 0.334147 2.405554 0.368975 5 0.823484 -3.747787 0.234513 2.332180 0.410335 6 0.825069 -4.242867 0.299111 2.187560 0.357775 7 0.764112 -5.634322 0.257682 1.854785 0.211756 8 0.763262 -6.167603 0.183721 2.064693 0.163755 9 0.773587 -5.498678 0.327769 2.322511 0.231571 10 0.798463 -5.011879 0.325996 2.432792 0.271362 11 0.776156 -5.249770 0.391002 2.407313 0.249740 12 0.792520 -4.960234 0.363566 2.642476 0.275931 13 0.646846 -6.547148 0.152813 2.041277 0.138512 14 0.665833 -5.660217 0.254989 2.519422 0.199889 15 0.654027 -6.105098 0.203653 2.125618 0.170100 16 0.658245 -5.340115 0.210185 2.205546 0.234589 17 0.644692 -5.440040 0.239764 2.264501 0.218164 18 0.605417 -2.931070 0.434326 3.007463 0.430788 19 0.719467 -3.949079 0.357870 3.109010 0.377429 20 0.686080 -4.554466 0.340176 2.856676 0.322111 21 0.704087 -4.095442 0.262564 2.739710 0.365391 22 0.698951 -5.186960 0.237622 2.557536 0.259765 23 0.679834 -4.330956 0.262384 2.916777 0.285695 24 0.686894 -5.248776 0.210279 2.547508 0.253556 25 0.732479 -5.557447 0.220890 2.692176 0.215961 26 0.737948 -5.571843 0.236853 2.846369 0.219514 27 0.720916 -6.183590 0.226278 2.589702 0.147403 28 0.726652 -6.271690 0.196102 2.314209 0.162999 29 0.676258 -7.120925 0.279789 2.241742 0.108514 30 0.723797 -6.635729 0.209866 1.957961 0.135242 31 0.741367 -7.348300 0.177551 1.743867 0.085569 32 0.742055 -7.682587 0.173319 2.103106 0.068501 33 0.738703 -7.067931 0.175181 1.512275 0.096320 34 0.742133 -7.695734 0.178540 1.544609 0.056141 35 0.741899 -7.964984 0.163519 1.423287 0.044539 36 0.742737 -7.777685 0.170183 2.447064 0.057610 37 0.778834 -6.149653 0.218037 2.477082 0.165827 38 0.783626 -6.006414 0.196371 2.536527 0.173218 39 0.766209 -6.452058 0.212294 2.269398 0.141929 40 0.758324 -6.006647 0.266892 2.382544 0.160691 41 0.765623 -6.647379 0.201095 2.374073 0.130554 42 0.759203 -7.044105 0.063412 2.361532 0.115730 43 0.654172 -7.310550 0.098648 2.416838 0.095032 44 0.634267 -6.793547 0.158266 2.256699 0.117399 45 0.635285 -7.057869 0.091608 2.330716 0.091470 46 0.638928 -6.995820 0.102083 2.365800 0.102706 47 0.631653 -7.156076 0.127642 2.392122 0.097336 48 0.635204 -7.319510 0.200873 2.028612 0.086398 49 0.733659 -6.439398 0.266392 2.079922 0.133867 50 0.754073 -6.482096 0.264967 2.054419 0.128872 51 0.775933 -6.650471 0.254498 1.840198 0.103561 52 0.760361 -6.689151 0.291954 2.431854 0.105993 53 0.766204 -7.072419 0.220434 1.972297 0.119308 54 0.785714 -6.836811 0.269866 2.223719 0.147491 55 0.819032 -4.649573 0.205558 1.986899 0.316700 56 0.811843 -4.333543 0.221727 2.014606 0.344834 57 0.821364 -4.438453 0.238298 1.922940 0.335041 58 0.817756 -4.608260 0.290024 2.021591 0.314464 59 0.813432 -4.476755 0.262633 1.827012 0.326197 60 0.817396 -4.609161 0.221711 1.831691 0.316395 61 0.678874 -7.040508 0.066994 2.460791 0.101516 62 0.686264 -7.293801 0.086372 2.321560 0.098555 63 0.694399 -6.966321 0.095882 2.278687 0.103224 64 0.683296 -7.245620 0.018689 2.498224 0.093534 65 0.673636 -7.496264 0.056844 2.003032 0.073581 66 0.681811 -7.314237 0.006274 2.118596 0.091546 67 0.720908 -5.409423 0.226850 2.359973 0.226156 68 0.729067 -5.324574 0.205660 2.291558 0.226247 69 0.731444 -5.869750 0.151814 2.118496 0.185580 70 0.727313 -6.261141 0.120956 2.137075 0.141958 71 0.730387 -5.720868 0.158830 2.277927 0.180828 72 0.733232 -5.207985 0.224852 2.642276 0.242981 73 0.762959 -5.791820 0.329066 2.205024 0.188180 74 0.789532 -5.389129 0.306636 1.928708 0.225461 75 0.815908 -5.313360 0.201861 2.225815 0.244512 76 0.807217 -5.477592 0.315074 1.862092 0.228624 77 0.789977 -5.775966 0.341169 2.007923 0.193918 78 0.816340 -5.391029 0.250572 1.777901 0.232744 79 0.779612 -5.115212 0.249494 2.017753 0.260015 80 0.790117 -4.913885 0.265699 2.398422 0.277948 81 0.770466 -4.441519 0.155097 2.645959 0.327978 82 0.778747 -5.132032 0.210458 2.232576 0.260633 83 0.787896 -5.022288 0.146948 2.428306 0.264666 84 0.772416 -6.025367 0.078202 2.053601 0.177275 85 0.729586 -5.288912 0.343073 3.099301 0.242119 86 0.727747 -5.657899 0.315903 3.098256 0.200423 87 0.712199 -6.366916 0.335753 2.654271 0.144614 88 0.740837 -5.515071 0.299549 3.136550 0.220968 89 0.743937 -5.783272 0.299793 3.007096 0.194052 90 0.745526 -4.379411 0.375531 3.671155 0.332086 91 0.733165 -4.508984 0.389232 3.317586 0.301952 92 0.714360 -6.411497 0.207156 2.344876 0.134120 93 0.734504 -5.952058 0.087840 2.344336 0.186489 94 0.697790 -6.152551 0.173520 2.080121 0.160809 95 0.712170 -6.251425 0.188056 2.143851 0.160812 96 0.705658 -6.247076 0.180528 2.344348 0.164916 97 0.693429 -6.417440 0.194627 2.473239 0.151709 98 0.714485 -4.020042 0.265315 2.671825 0.340623 99 0.690892 -5.159169 0.202146 2.441612 0.260375 100 0.674953 -3.760348 0.242861 2.634633 0.378483 101 0.656846 -3.700544 0.260481 2.991063 0.370961 102 0.643327 -4.202730 0.310163 2.638279 0.356881 103 0.641418 -3.269487 0.270641 2.690917 0.444774 104 0.722356 -6.878393 0.089267 2.004055 0.113942 105 0.691483 -7.111576 0.144780 2.065477 0.093193 106 0.719974 -6.997403 0.210279 1.994387 0.112878 107 0.677930 -6.981201 0.184550 2.129924 0.106802 108 0.700246 -6.600023 0.249172 2.499148 0.105306 109 0.676066 -6.739151 0.160686 2.296873 0.115130 110 0.740539 -5.845099 0.278679 2.608749 0.185668 111 0.727863 -5.258320 0.256454 2.550961 0.232520 112 0.712466 -6.471427 0.184378 2.502336 0.136390 113 0.722085 -4.876336 0.212054 2.376749 0.268144 114 0.722254 -5.963040 0.250283 2.489191 0.177807 115 0.715121 -6.729713 0.181701 2.938114 0.115515 116 0.662668 -4.673241 0.261549 2.702355 0.274407 117 0.653823 -6.051233 0.273280 2.640798 0.170106 118 0.676023 -4.597834 0.372114 2.975889 0.282780 119 0.655239 -4.913137 0.393056 2.816781 0.251972 120 0.582710 -5.517173 0.389295 2.925862 0.220657 121 0.684130 -6.186128 0.279933 2.686240 0.152428 122 0.656182 -4.711007 0.281618 2.655744 0.234809 123 0.741480 -5.418787 0.160267 2.090438 0.229892 124 0.732903 -5.445140 0.142466 2.174306 0.215558 125 0.728421 -5.944191 0.143359 1.929715 0.181988 126 0.735546 -5.594275 0.127950 1.765957 0.222716 127 0.738245 -5.540351 0.087165 1.821297 0.214075 128 0.736964 -5.825257 0.115697 1.996146 0.196535 129 0.699787 -6.890021 0.152941 2.328513 0.112856 130 0.718839 -5.892061 0.195976 2.108873 0.183572 131 0.724045 -6.135296 0.203630 2.539724 0.169923 132 0.735136 -6.112667 0.217013 2.527742 0.170633 133 0.721308 -5.436135 0.254909 2.516320 0.232209 134 0.723096 -6.448134 0.178713 2.034827 0.141422 135 0.744064 -5.301321 0.320385 2.375138 0.243080 136 0.706687 -5.333619 0.322044 2.631793 0.228319 137 0.708144 -4.378916 0.300067 2.445502 0.259451 138 0.708617 -4.654894 0.304107 2.672362 0.274387 139 0.701404 -5.634576 0.306014 2.419253 0.209191 140 0.696049 -5.866357 0.233070 2.445646 0.184985 141 0.685057 -4.796845 0.397749 2.963799 0.277227 142 0.665945 -5.410336 0.288917 2.665133 0.231723 143 0.661735 -5.585259 0.310746 2.465528 0.209863 144 0.632631 -5.898673 0.213353 2.470746 0.189032 145 0.630409 -6.132663 0.220617 2.576563 0.159777 146 0.574282 -5.456811 0.345238 2.840556 0.232861 147 0.793509 -3.297668 0.414758 3.413649 0.457533 148 0.768974 -4.276605 0.355736 3.142364 0.336085 149 0.764036 -3.377325 0.335357 3.274865 0.418646 150 0.775708 -4.892495 0.262281 2.910213 0.270173 151 0.762726 -4.484303 0.340256 2.958815 0.301487 152 0.768320 -2.434031 0.450493 3.079221 0.527367 153 0.754449 -2.839756 0.356224 3.184027 0.454721 154 0.670475 -4.865194 0.246404 2.013530 0.168581 155 0.659333 -4.239028 0.175691 2.451130 0.247455 156 0.652025 -3.583722 0.207914 2.439597 0.206256 157 0.623731 -5.435100 0.230532 2.699645 0.220546 158 0.646786 -3.444478 0.303214 2.964568 0.261305 159 0.627337 -5.070096 0.280091 2.892300 0.249703 160 0.675865 -5.498456 0.234196 2.103014 0.216638 161 0.694571 -5.185987 0.259229 2.151121 0.244948 162 0.684373 -5.283009 0.226528 2.442906 0.238281 163 0.719576 -5.529833 0.242750 2.408689 0.220520 164 0.673086 -5.617124 0.184896 1.871871 0.212386 165 0.674562 -2.929379 0.396746 2.560422 0.367233 166 0.628232 -6.816086 0.172270 2.235197 0.119652 167 0.626710 -7.018057 0.176316 1.852402 0.091604 168 0.628058 -7.517934 0.160414 1.881767 0.075587 169 0.725216 -5.736781 0.164529 2.882450 0.202879 170 0.646167 -7.169701 0.073298 2.266432 0.100881 171 0.646818 -7.304500 0.171088 2.095237 0.096220 172 0.756700 -6.323531 0.218885 2.193412 0.160376 173 0.776158 -6.085567 0.192375 1.889002 0.174152 174 0.766700 -5.943501 0.192150 1.852542 0.179677 175 0.756482 -6.012559 0.229298 1.872946 0.163118 176 0.761255 -5.966779 0.197938 1.974857 0.184067 177 0.763242 -6.016891 0.109256 2.004719 0.174429 178 0.745957 -6.486822 0.197919 2.449763 0.132703 179 0.762508 -6.311987 0.182459 2.251553 0.160306 180 0.778349 -5.711205 0.240875 2.845109 0.192730 181 0.759320 -6.261446 0.183218 2.264226 0.144105 182 0.768845 -5.704053 0.216204 2.679185 0.197710 183 0.757180 -6.277170 0.109397 2.209021 0.156368 184 0.669565 -5.619070 0.191576 2.027228 0.215724 185 0.656516 -5.198864 0.206768 2.120412 0.252404 186 0.654331 -5.592584 0.133917 2.058658 0.214346 187 0.667654 -6.431119 0.153310 2.161936 0.120605 188 0.663884 -6.359018 0.116636 2.152083 0.138868 189 0.659132 -6.710219 0.149694 1.913990 0.121777 190 0.683761 -6.934474 0.159890 2.316346 0.112838 191 0.657899 -6.538586 0.121952 2.657476 0.133050 192 0.683244 -6.195325 0.129303 2.784312 0.168895 193 0.655683 -6.787197 0.158453 2.679772 0.131728 194 0.643956 -6.744577 0.207454 2.138608 0.123306 195 0.664357 -5.724056 0.190667 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)` 4.875e-02 -1.370e-04 1.734e-05 1.992e-05 `MDVP:Jitter(%)` `MDVP:Jitter(Abs)` `MDVP:RAP` `MDVP:PPQ` 4.106e+00 5.241e+01 -3.204e+02 -6.834e+00 `Jitter:DDP` `MDVP:Shimmer` `MDVP:Shimmer(dB)` `Shimmer:APQ3` 1.103e+02 -1.801e+00 6.615e-03 -1.381e+02 `Shimmer:APQ5` `MDVP:APQ` `Shimmer:DDA` HNR 7.746e-01 5.793e-01 4.667e+01 -8.595e-04 status RPDE DFA spread1 -3.708e-03 -1.083e-02 -1.398e-01 -8.536e-03 spread2 D2 PPE 4.444e-02 4.821e-03 1.522e-02 > (mysum <- summary(mylm)) Call: lm(formula = df) Residuals: Min 1Q Median 3Q Max -0.032834 -0.006981 0.000869 0.006328 0.043457 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 4.875e-02 4.471e-02 1.090 0.2770 `MDVP:Fo(Hz)` -1.370e-04 5.734e-05 -2.389 0.0180 * `MDVP:Fhi(Hz)` 1.734e-05 1.224e-05 1.417 0.1582 `MDVP:Flo(Hz)` 1.992e-05 3.103e-05 0.642 0.5218 `MDVP:Jitter(%)` 4.106e+00 2.601e+00 1.579 0.1163 `MDVP:Jitter(Abs)` 5.241e+01 1.775e+02 0.295 0.7681 `MDVP:RAP` -3.204e+02 3.567e+02 -0.898 0.3703 `MDVP:PPQ` -6.834e+00 3.348e+00 -2.041 0.0427 * `Jitter:DDP` 1.103e+02 1.189e+02 0.928 0.3548 `MDVP:Shimmer` -1.801e+00 1.309e+00 -1.376 0.1707 `MDVP:Shimmer(dB)` 6.615e-03 4.598e-02 0.144 0.8858 `Shimmer:APQ3` -1.381e+02 3.436e+02 -0.402 0.6883 `Shimmer:APQ5` 7.746e-01 7.726e-01 1.002 0.3175 `MDVP:APQ` 5.793e-01 4.151e-01 1.396 0.1646 `Shimmer:DDA` 4.667e+01 1.145e+02 0.408 0.6841 HNR -8.596e-04 5.476e-04 -1.570 0.1183 status -3.708e-03 2.908e-03 -1.275 0.2040 RPDE -1.083e-02 1.708e-02 -0.634 0.5269 DFA -1.398e-01 2.627e-02 -5.320 3.19e-07 *** spread1 -8.536e-03 3.713e-03 -2.299 0.0227 * spread2 4.444e-02 1.838e-02 2.418 0.0166 * D2 4.821e-03 4.368e-03 1.104 0.2712 PPE 1.522e-02 5.312e-02 0.286 0.7749 --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 Residual standard error: 0.01252 on 172 degrees of freedom Multiple R-squared: 0.915, Adjusted R-squared: 0.9041 F-statistic: 84.13 on 22 and 172 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,] 1.389812e-02 2.779625e-02 9.861019e-01 [2,] 3.218107e-03 6.436214e-03 9.967819e-01 [3,] 6.642388e-04 1.328478e-03 9.993358e-01 [4,] 1.108457e-04 2.216915e-04 9.998892e-01 [5,] 1.986385e-05 3.972769e-05 9.999801e-01 [6,] 2.913961e-06 5.827921e-06 9.999971e-01 [7,] 6.503629e-07 1.300726e-06 9.999993e-01 [8,] 1.289617e-07 2.579235e-07 9.999999e-01 [9,] 4.561256e-08 9.122513e-08 1.000000e+00 [10,] 6.980557e-09 1.396111e-08 1.000000e+00 [11,] 1.022837e-09 2.045675e-09 1.000000e+00 [12,] 2.730288e-09 5.460575e-09 1.000000e+00 [13,] 5.825089e-10 1.165018e-09 1.000000e+00 [14,] 1.358238e-10 2.716476e-10 1.000000e+00 [15,] 6.328717e-11 1.265743e-10 1.000000e+00 [16,] 1.100992e-11 2.201985e-11 1.000000e+00 [17,] 5.611124e-12 1.122225e-11 1.000000e+00 [18,] 9.600467e-13 1.920093e-12 1.000000e+00 [19,] 1.679948e-13 3.359896e-13 1.000000e+00 [20,] 2.930043e-14 5.860086e-14 1.000000e+00 [21,] 4.918337e-15 9.836675e-15 1.000000e+00 [22,] 8.129240e-16 1.625848e-15 1.000000e+00 [23,] 1.940072e-16 3.880144e-16 1.000000e+00 [24,] 1.074220e-15 2.148440e-15 1.000000e+00 [25,] 3.111638e-16 6.223277e-16 1.000000e+00 [26,] 5.542225e-17 1.108445e-16 1.000000e+00 [27,] 8.977942e-18 1.795588e-17 1.000000e+00 [28,] 3.998862e-18 7.997724e-18 1.000000e+00 [29,] 1.518669e-18 3.037337e-18 1.000000e+00 [30,] 2.488367e-19 4.976735e-19 1.000000e+00 [31,] 4.849725e-20 9.699450e-20 1.000000e+00 [32,] 7.851706e-21 1.570341e-20 1.000000e+00 [33,] 1.548663e-21 3.097327e-21 1.000000e+00 [34,] 2.979646e-22 5.959292e-22 1.000000e+00 [35,] 7.239743e-23 1.447949e-22 1.000000e+00 [36,] 1.444541e-23 2.889081e-23 1.000000e+00 [37,] 1.861545e-23 3.723091e-23 1.000000e+00 [38,] 8.305546e-24 1.661109e-23 1.000000e+00 [39,] 5.293549e-24 1.058710e-23 1.000000e+00 [40,] 1.283877e-24 2.567754e-24 1.000000e+00 [41,] 2.563606e-25 5.127211e-25 1.000000e+00 [42,] 1.166292e-24 2.332585e-24 1.000000e+00 [43,] 3.776894e-25 7.553788e-25 1.000000e+00 [44,] 1.865458e-25 3.730915e-25 1.000000e+00 [45,] 7.851005e-26 1.570201e-25 1.000000e+00 [46,] 1.852197e-26 3.704394e-26 1.000000e+00 [47,] 2.288651e-26 4.577302e-26 1.000000e+00 [48,] 7.542346e-27 1.508469e-26 1.000000e+00 [49,] 2.621597e-27 5.243193e-27 1.000000e+00 [50,] 4.818127e-28 9.636254e-28 1.000000e+00 [51,] 8.340612e-29 1.668122e-28 1.000000e+00 [52,] 7.767340e-29 1.553468e-28 1.000000e+00 [53,] 1.912447e-29 3.824895e-29 1.000000e+00 [54,] 1.213180e-29 2.426360e-29 1.000000e+00 [55,] 2.347333e-29 4.694666e-29 1.000000e+00 [56,] 7.611616e-30 1.522323e-29 1.000000e+00 [57,] 2.677148e-30 5.354297e-30 1.000000e+00 [58,] 5.718522e-31 1.143704e-30 1.000000e+00 [59,] 1.026201e-31 2.052402e-31 1.000000e+00 [60,] 1.571589e-18 3.143178e-18 1.000000e+00 [61,] 6.935112e-19 1.387022e-18 1.000000e+00 [62,] 7.763149e-19 1.552630e-18 1.000000e+00 [63,] 6.582167e-18 1.316433e-17 1.000000e+00 [64,] 3.516923e-18 7.033845e-18 1.000000e+00 [65,] 4.010239e-12 8.020479e-12 1.000000e+00 [66,] 1.050665e-05 2.101330e-05 9.999895e-01 [67,] 1.463471e-05 2.926942e-05 9.999854e-01 [68,] 8.564388e-06 1.712878e-05 9.999914e-01 [69,] 7.928345e-06 1.585669e-05 9.999921e-01 [70,] 6.538105e-06 1.307621e-05 9.999935e-01 [71,] 4.358708e-06 8.717416e-06 9.999956e-01 [72,] 3.077961e-06 6.155921e-06 9.999969e-01 [73,] 2.552903e-04 5.105807e-04 9.997447e-01 [74,] 8.753643e-03 1.750729e-02 9.912464e-01 [75,] 1.709438e-01 3.418876e-01 8.290562e-01 [76,] 8.545601e-01 2.908799e-01 1.454399e-01 [77,] 8.602838e-01 2.794325e-01 1.397162e-01 [78,] 9.756762e-01 4.864769e-02 2.432384e-02 [79,] 9.864478e-01 2.710450e-02 1.355225e-02 [80,] 9.855512e-01 2.889757e-02 1.444878e-02 [81,] 9.821843e-01 3.563148e-02 1.781574e-02 [82,] 9.773676e-01 4.526489e-02 2.263245e-02 [83,] 9.719698e-01 5.606033e-02 2.803017e-02 [84,] 9.670625e-01 6.587503e-02 3.293752e-02 [85,] 9.953641e-01 9.271715e-03 4.635858e-03 [86,] 9.951073e-01 9.785394e-03 4.892697e-03 [87,] 9.970985e-01 5.803073e-03 2.901537e-03 [88,] 9.980281e-01 3.943891e-03 1.971945e-03 [89,] 9.979301e-01 4.139709e-03 2.069855e-03 [90,] 9.974053e-01 5.189419e-03 2.594710e-03 [91,] 9.996955e-01 6.090406e-04 3.045203e-04 [92,] 9.996205e-01 7.590155e-04 3.795077e-04 [93,] 9.996307e-01 7.385487e-04 3.692744e-04 [94,] 9.994702e-01 1.059651e-03 5.298254e-04 [95,] 9.997605e-01 4.790963e-04 2.395482e-04 [96,] 9.997239e-01 5.522522e-04 2.761261e-04 [97,] 9.997133e-01 5.734593e-04 2.867297e-04 [98,] 9.997775e-01 4.450335e-04 2.225167e-04 [99,] 9.997764e-01 4.471883e-04 2.235942e-04 [100,] 9.996916e-01 6.167139e-04 3.083569e-04 [101,] 9.995907e-01 8.186199e-04 4.093100e-04 [102,] 9.994179e-01 1.164252e-03 5.821260e-04 [103,] 9.991892e-01 1.621554e-03 8.107772e-04 [104,] 9.987865e-01 2.426932e-03 1.213466e-03 [105,] 9.983283e-01 3.343461e-03 1.671731e-03 [106,] 9.975144e-01 4.971150e-03 2.485575e-03 [107,] 9.966032e-01 6.793562e-03 3.396781e-03 [108,] 9.963138e-01 7.372438e-03 3.686219e-03 [109,] 9.944151e-01 1.116986e-02 5.584932e-03 [110,] 9.917313e-01 1.653735e-02 8.268675e-03 [111,] 9.880385e-01 2.392303e-02 1.196152e-02 [112,] 9.847522e-01 3.049555e-02 1.524778e-02 [113,] 9.953173e-01 9.365370e-03 4.682685e-03 [114,] 9.944629e-01 1.107410e-02 5.537051e-03 [115,] 9.930163e-01 1.396747e-02 6.983734e-03 [116,] 9.895482e-01 2.090365e-02 1.045183e-02 [117,] 9.923366e-01 1.532677e-02 7.663386e-03 [118,] 9.888221e-01 2.235574e-02 1.117787e-02 [119,] 9.838621e-01 3.227586e-02 1.613793e-02 [120,] 9.768707e-01 4.625853e-02 2.312927e-02 [121,] 9.666762e-01 6.664751e-02 3.332376e-02 [122,] 9.612100e-01 7.758001e-02 3.879001e-02 [123,] 9.585370e-01 8.292603e-02 4.146301e-02 [124,] 9.473931e-01 1.052137e-01 5.260687e-02 [125,] 9.612738e-01 7.745245e-02 3.872622e-02 [126,] 9.557819e-01 8.843614e-02 4.421807e-02 [127,] 9.851356e-01 2.972883e-02 1.486441e-02 [128,] 9.782581e-01 4.348390e-02 2.174195e-02 [129,] 9.672667e-01 6.546654e-02 3.273327e-02 [130,] 9.892614e-01 2.147712e-02 1.073856e-02 [131,] 9.937203e-01 1.255942e-02 6.279708e-03 [132,] 9.911536e-01 1.769284e-02 8.846418e-03 [133,] 9.991640e-01 1.672031e-03 8.360156e-04 [134,] 9.999476e-01 1.047680e-04 5.238399e-05 [135,] 9.998740e-01 2.520204e-04 1.260102e-04 [136,] 9.999094e-01 1.811654e-04 9.058272e-05 [137,] 9.998540e-01 2.920496e-04 1.460248e-04 [138,] 9.998432e-01 3.136559e-04 1.568280e-04 [139,] 9.996859e-01 6.281932e-04 3.140966e-04 [140,] 9.991609e-01 1.678233e-03 8.391165e-04 [141,] 9.974173e-01 5.165412e-03 2.582706e-03 [142,] 9.960153e-01 7.969488e-03 3.984744e-03 [143,] 9.978946e-01 4.210808e-03 2.105404e-03 [144,] 9.919202e-01 1.615960e-02 8.079800e-03 > postscript(file="/var/wessaorg/rcomp/tmp/17u0z1386284358.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/2gbpj1386284358.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > plot(mysum$resid, type='b', pch=19, main='Residuals', ylab='value of Residuals', xlab='time or index') > grid() > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/3itur1386284359.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > hist(mysum$resid, main='Residual Histogram', xlab='values of Residuals') > grid() > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/4dgcs1386284359.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > densityplot(~mysum$resid,col='black',main='Residual Density Plot', xlab='values of Residuals') > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/5krkp1386284359.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > qqnorm(mysum$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 1.440457e-02 -4.410749e-03 -1.611574e-02 -1.351031e-02 -2.488841e-02 6 7 8 9 10 1.586405e-03 1.479125e-02 1.409905e-02 -6.787112e-03 1.658113e-03 11 12 13 14 15 -3.362988e-03 -2.911585e-03 -2.054376e-03 -9.297200e-04 1.899013e-03 16 17 18 19 20 5.211587e-03 -8.017022e-04 4.879765e-03 4.634087e-04 -4.614421e-03 21 22 23 24 25 5.959778e-03 -1.107966e-04 8.689440e-04 3.901636e-03 -4.242253e-03 26 27 28 29 30 9.352916e-04 1.154490e-03 2.132984e-03 -6.113589e-03 -4.454517e-03 31 32 33 34 35 5.025767e-03 6.267833e-03 1.621715e-02 1.541758e-02 1.278236e-02 36 37 38 39 40 8.124137e-03 1.949299e-03 8.288759e-03 1.214589e-02 9.702009e-03 41 42 43 44 45 7.586045e-03 1.280246e-02 -4.909715e-03 -1.308589e-03 4.589122e-03 46 47 48 49 50 3.668464e-03 -1.286655e-03 6.014654e-03 -9.040522e-03 -3.374017e-03 51 52 53 54 55 2.447870e-04 -7.585454e-03 -5.549802e-03 -9.338611e-03 7.306852e-03 56 57 58 59 60 9.695794e-05 4.783437e-03 5.488998e-03 4.568943e-03 -1.900064e-03 61 62 63 64 65 3.890583e-03 2.902528e-03 1.096486e-03 -3.609674e-03 3.057624e-03 66 67 68 69 70 6.353589e-03 -1.537649e-02 -1.717186e-02 -1.600063e-02 -1.833713e-02 71 72 73 74 75 -1.458035e-02 -1.710644e-02 2.050080e-03 -9.259390e-03 6.479133e-03 76 77 78 79 80 -1.528550e-03 -7.177860e-03 1.177700e-02 -7.268383e-03 -2.904775e-02 81 82 83 84 85 -5.502031e-03 -1.152710e-02 -1.089174e-03 4.911829e-03 9.653544e-03 86 87 88 89 90 1.006784e-02 1.370536e-02 1.490398e-02 1.583569e-02 3.478503e-02 91 92 93 94 95 4.345679e-02 -1.326504e-02 3.619020e-03 -8.986141e-03 -4.678822e-06 96 97 98 99 100 -2.555009e-03 -7.661297e-03 3.244201e-03 3.598975e-03 2.796376e-02 101 102 103 104 105 3.542702e-02 1.102212e-02 2.878686e-02 1.456718e-02 8.017984e-03 106 107 108 109 110 6.436981e-03 6.481975e-03 4.568296e-03 9.161936e-03 -2.668178e-02 111 112 113 114 115 -9.045715e-03 -1.739025e-02 -1.482902e-02 -1.056082e-02 -1.010412e-02 116 117 118 119 120 2.348238e-02 -6.503472e-03 1.887231e-03 -7.125570e-03 -1.308352e-02 121 122 123 124 125 -3.603914e-03 5.376851e-03 -1.121600e-02 -1.329437e-02 -3.850062e-03 126 127 128 129 130 -4.610189e-03 8.337387e-03 -2.603964e-03 1.320623e-03 1.105379e-02 131 132 133 134 135 -4.330760e-03 2.191937e-03 4.367776e-03 2.244737e-03 -7.784592e-04 136 137 138 139 140 -2.397512e-04 1.039526e-02 9.174454e-03 -6.691681e-03 3.484737e-03 141 142 143 144 145 1.670410e-04 -9.338341e-03 1.449301e-03 5.767558e-03 3.494020e-04 146 147 148 149 150 -5.372420e-03 -1.548859e-02 -2.982926e-02 -1.588316e-02 -1.356655e-02 151 152 153 154 155 4.330704e-04 1.082238e-02 1.698301e-03 8.995040e-03 1.524534e-02 156 157 158 159 160 4.517029e-03 -1.863347e-02 -2.288490e-02 -3.283448e-02 3.116941e-03 161 162 163 164 165 4.398164e-03 -7.140848e-03 -4.571714e-03 -9.294226e-03 -8.321446e-03 166 167 168 169 170 -4.431400e-03 -8.344687e-03 -1.324814e-02 -2.584702e-02 -2.194538e-02 171 172 173 174 175 -1.832044e-02 -8.488365e-04 6.303505e-03 6.708334e-03 3.743066e-03 176 177 178 179 180 6.084346e-03 9.500949e-03 6.210184e-03 1.004784e-02 6.352369e-03 181 182 183 184 185 1.410786e-04 7.814987e-03 1.032475e-02 -1.570045e-03 -7.581368e-03 186 187 188 189 190 1.751445e-03 -1.913762e-02 -5.738288e-03 -6.836949e-03 4.043226e-03 191 192 193 194 195 -6.535306e-03 -1.377859e-02 1.488778e-02 2.719242e-02 2.429937e-02 > postscript(file="/var/wessaorg/rcomp/tmp/6zrlh1386284359.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 1.440457e-02 NA 1 -4.410749e-03 1.440457e-02 2 -1.611574e-02 -4.410749e-03 3 -1.351031e-02 -1.611574e-02 4 -2.488841e-02 -1.351031e-02 5 1.586405e-03 -2.488841e-02 6 1.479125e-02 1.586405e-03 7 1.409905e-02 1.479125e-02 8 -6.787112e-03 1.409905e-02 9 1.658113e-03 -6.787112e-03 10 -3.362988e-03 1.658113e-03 11 -2.911585e-03 -3.362988e-03 12 -2.054376e-03 -2.911585e-03 13 -9.297200e-04 -2.054376e-03 14 1.899013e-03 -9.297200e-04 15 5.211587e-03 1.899013e-03 16 -8.017022e-04 5.211587e-03 17 4.879765e-03 -8.017022e-04 18 4.634087e-04 4.879765e-03 19 -4.614421e-03 4.634087e-04 20 5.959778e-03 -4.614421e-03 21 -1.107966e-04 5.959778e-03 22 8.689440e-04 -1.107966e-04 23 3.901636e-03 8.689440e-04 24 -4.242253e-03 3.901636e-03 25 9.352916e-04 -4.242253e-03 26 1.154490e-03 9.352916e-04 27 2.132984e-03 1.154490e-03 28 -6.113589e-03 2.132984e-03 29 -4.454517e-03 -6.113589e-03 30 5.025767e-03 -4.454517e-03 31 6.267833e-03 5.025767e-03 32 1.621715e-02 6.267833e-03 33 1.541758e-02 1.621715e-02 34 1.278236e-02 1.541758e-02 35 8.124137e-03 1.278236e-02 36 1.949299e-03 8.124137e-03 37 8.288759e-03 1.949299e-03 38 1.214589e-02 8.288759e-03 39 9.702009e-03 1.214589e-02 40 7.586045e-03 9.702009e-03 41 1.280246e-02 7.586045e-03 42 -4.909715e-03 1.280246e-02 43 -1.308589e-03 -4.909715e-03 44 4.589122e-03 -1.308589e-03 45 3.668464e-03 4.589122e-03 46 -1.286655e-03 3.668464e-03 47 6.014654e-03 -1.286655e-03 48 -9.040522e-03 6.014654e-03 49 -3.374017e-03 -9.040522e-03 50 2.447870e-04 -3.374017e-03 51 -7.585454e-03 2.447870e-04 52 -5.549802e-03 -7.585454e-03 53 -9.338611e-03 -5.549802e-03 54 7.306852e-03 -9.338611e-03 55 9.695794e-05 7.306852e-03 56 4.783437e-03 9.695794e-05 57 5.488998e-03 4.783437e-03 58 4.568943e-03 5.488998e-03 59 -1.900064e-03 4.568943e-03 60 3.890583e-03 -1.900064e-03 61 2.902528e-03 3.890583e-03 62 1.096486e-03 2.902528e-03 63 -3.609674e-03 1.096486e-03 64 3.057624e-03 -3.609674e-03 65 6.353589e-03 3.057624e-03 66 -1.537649e-02 6.353589e-03 67 -1.717186e-02 -1.537649e-02 68 -1.600063e-02 -1.717186e-02 69 -1.833713e-02 -1.600063e-02 70 -1.458035e-02 -1.833713e-02 71 -1.710644e-02 -1.458035e-02 72 2.050080e-03 -1.710644e-02 73 -9.259390e-03 2.050080e-03 74 6.479133e-03 -9.259390e-03 75 -1.528550e-03 6.479133e-03 76 -7.177860e-03 -1.528550e-03 77 1.177700e-02 -7.177860e-03 78 -7.268383e-03 1.177700e-02 79 -2.904775e-02 -7.268383e-03 80 -5.502031e-03 -2.904775e-02 81 -1.152710e-02 -5.502031e-03 82 -1.089174e-03 -1.152710e-02 83 4.911829e-03 -1.089174e-03 84 9.653544e-03 4.911829e-03 85 1.006784e-02 9.653544e-03 86 1.370536e-02 1.006784e-02 87 1.490398e-02 1.370536e-02 88 1.583569e-02 1.490398e-02 89 3.478503e-02 1.583569e-02 90 4.345679e-02 3.478503e-02 91 -1.326504e-02 4.345679e-02 92 3.619020e-03 -1.326504e-02 93 -8.986141e-03 3.619020e-03 94 -4.678822e-06 -8.986141e-03 95 -2.555009e-03 -4.678822e-06 96 -7.661297e-03 -2.555009e-03 97 3.244201e-03 -7.661297e-03 98 3.598975e-03 3.244201e-03 99 2.796376e-02 3.598975e-03 100 3.542702e-02 2.796376e-02 101 1.102212e-02 3.542702e-02 102 2.878686e-02 1.102212e-02 103 1.456718e-02 2.878686e-02 104 8.017984e-03 1.456718e-02 105 6.436981e-03 8.017984e-03 106 6.481975e-03 6.436981e-03 107 4.568296e-03 6.481975e-03 108 9.161936e-03 4.568296e-03 109 -2.668178e-02 9.161936e-03 110 -9.045715e-03 -2.668178e-02 111 -1.739025e-02 -9.045715e-03 112 -1.482902e-02 -1.739025e-02 113 -1.056082e-02 -1.482902e-02 114 -1.010412e-02 -1.056082e-02 115 2.348238e-02 -1.010412e-02 116 -6.503472e-03 2.348238e-02 117 1.887231e-03 -6.503472e-03 118 -7.125570e-03 1.887231e-03 119 -1.308352e-02 -7.125570e-03 120 -3.603914e-03 -1.308352e-02 121 5.376851e-03 -3.603914e-03 122 -1.121600e-02 5.376851e-03 123 -1.329437e-02 -1.121600e-02 124 -3.850062e-03 -1.329437e-02 125 -4.610189e-03 -3.850062e-03 126 8.337387e-03 -4.610189e-03 127 -2.603964e-03 8.337387e-03 128 1.320623e-03 -2.603964e-03 129 1.105379e-02 1.320623e-03 130 -4.330760e-03 1.105379e-02 131 2.191937e-03 -4.330760e-03 132 4.367776e-03 2.191937e-03 133 2.244737e-03 4.367776e-03 134 -7.784592e-04 2.244737e-03 135 -2.397512e-04 -7.784592e-04 136 1.039526e-02 -2.397512e-04 137 9.174454e-03 1.039526e-02 138 -6.691681e-03 9.174454e-03 139 3.484737e-03 -6.691681e-03 140 1.670410e-04 3.484737e-03 141 -9.338341e-03 1.670410e-04 142 1.449301e-03 -9.338341e-03 143 5.767558e-03 1.449301e-03 144 3.494020e-04 5.767558e-03 145 -5.372420e-03 3.494020e-04 146 -1.548859e-02 -5.372420e-03 147 -2.982926e-02 -1.548859e-02 148 -1.588316e-02 -2.982926e-02 149 -1.356655e-02 -1.588316e-02 150 4.330704e-04 -1.356655e-02 151 1.082238e-02 4.330704e-04 152 1.698301e-03 1.082238e-02 153 8.995040e-03 1.698301e-03 154 1.524534e-02 8.995040e-03 155 4.517029e-03 1.524534e-02 156 -1.863347e-02 4.517029e-03 157 -2.288490e-02 -1.863347e-02 158 -3.283448e-02 -2.288490e-02 159 3.116941e-03 -3.283448e-02 160 4.398164e-03 3.116941e-03 161 -7.140848e-03 4.398164e-03 162 -4.571714e-03 -7.140848e-03 163 -9.294226e-03 -4.571714e-03 164 -8.321446e-03 -9.294226e-03 165 -4.431400e-03 -8.321446e-03 166 -8.344687e-03 -4.431400e-03 167 -1.324814e-02 -8.344687e-03 168 -2.584702e-02 -1.324814e-02 169 -2.194538e-02 -2.584702e-02 170 -1.832044e-02 -2.194538e-02 171 -8.488365e-04 -1.832044e-02 172 6.303505e-03 -8.488365e-04 173 6.708334e-03 6.303505e-03 174 3.743066e-03 6.708334e-03 175 6.084346e-03 3.743066e-03 176 9.500949e-03 6.084346e-03 177 6.210184e-03 9.500949e-03 178 1.004784e-02 6.210184e-03 179 6.352369e-03 1.004784e-02 180 1.410786e-04 6.352369e-03 181 7.814987e-03 1.410786e-04 182 1.032475e-02 7.814987e-03 183 -1.570045e-03 1.032475e-02 184 -7.581368e-03 -1.570045e-03 185 1.751445e-03 -7.581368e-03 186 -1.913762e-02 1.751445e-03 187 -5.738288e-03 -1.913762e-02 188 -6.836949e-03 -5.738288e-03 189 4.043226e-03 -6.836949e-03 190 -6.535306e-03 4.043226e-03 191 -1.377859e-02 -6.535306e-03 192 1.488778e-02 -1.377859e-02 193 2.719242e-02 1.488778e-02 194 2.429937e-02 2.719242e-02 195 NA 2.429937e-02 > dum1 <- dum[2:length(myerror),] > dum1 lag(myerror, k = 1) myerror [1,] -4.410749e-03 1.440457e-02 [2,] -1.611574e-02 -4.410749e-03 [3,] -1.351031e-02 -1.611574e-02 [4,] -2.488841e-02 -1.351031e-02 [5,] 1.586405e-03 -2.488841e-02 [6,] 1.479125e-02 1.586405e-03 [7,] 1.409905e-02 1.479125e-02 [8,] -6.787112e-03 1.409905e-02 [9,] 1.658113e-03 -6.787112e-03 [10,] -3.362988e-03 1.658113e-03 [11,] -2.911585e-03 -3.362988e-03 [12,] -2.054376e-03 -2.911585e-03 [13,] -9.297200e-04 -2.054376e-03 [14,] 1.899013e-03 -9.297200e-04 [15,] 5.211587e-03 1.899013e-03 [16,] -8.017022e-04 5.211587e-03 [17,] 4.879765e-03 -8.017022e-04 [18,] 4.634087e-04 4.879765e-03 [19,] -4.614421e-03 4.634087e-04 [20,] 5.959778e-03 -4.614421e-03 [21,] -1.107966e-04 5.959778e-03 [22,] 8.689440e-04 -1.107966e-04 [23,] 3.901636e-03 8.689440e-04 [24,] -4.242253e-03 3.901636e-03 [25,] 9.352916e-04 -4.242253e-03 [26,] 1.154490e-03 9.352916e-04 [27,] 2.132984e-03 1.154490e-03 [28,] -6.113589e-03 2.132984e-03 [29,] -4.454517e-03 -6.113589e-03 [30,] 5.025767e-03 -4.454517e-03 [31,] 6.267833e-03 5.025767e-03 [32,] 1.621715e-02 6.267833e-03 [33,] 1.541758e-02 1.621715e-02 [34,] 1.278236e-02 1.541758e-02 [35,] 8.124137e-03 1.278236e-02 [36,] 1.949299e-03 8.124137e-03 [37,] 8.288759e-03 1.949299e-03 [38,] 1.214589e-02 8.288759e-03 [39,] 9.702009e-03 1.214589e-02 [40,] 7.586045e-03 9.702009e-03 [41,] 1.280246e-02 7.586045e-03 [42,] -4.909715e-03 1.280246e-02 [43,] -1.308589e-03 -4.909715e-03 [44,] 4.589122e-03 -1.308589e-03 [45,] 3.668464e-03 4.589122e-03 [46,] -1.286655e-03 3.668464e-03 [47,] 6.014654e-03 -1.286655e-03 [48,] -9.040522e-03 6.014654e-03 [49,] -3.374017e-03 -9.040522e-03 [50,] 2.447870e-04 -3.374017e-03 [51,] -7.585454e-03 2.447870e-04 [52,] -5.549802e-03 -7.585454e-03 [53,] -9.338611e-03 -5.549802e-03 [54,] 7.306852e-03 -9.338611e-03 [55,] 9.695794e-05 7.306852e-03 [56,] 4.783437e-03 9.695794e-05 [57,] 5.488998e-03 4.783437e-03 [58,] 4.568943e-03 5.488998e-03 [59,] -1.900064e-03 4.568943e-03 [60,] 3.890583e-03 -1.900064e-03 [61,] 2.902528e-03 3.890583e-03 [62,] 1.096486e-03 2.902528e-03 [63,] -3.609674e-03 1.096486e-03 [64,] 3.057624e-03 -3.609674e-03 [65,] 6.353589e-03 3.057624e-03 [66,] -1.537649e-02 6.353589e-03 [67,] -1.717186e-02 -1.537649e-02 [68,] -1.600063e-02 -1.717186e-02 [69,] -1.833713e-02 -1.600063e-02 [70,] -1.458035e-02 -1.833713e-02 [71,] -1.710644e-02 -1.458035e-02 [72,] 2.050080e-03 -1.710644e-02 [73,] -9.259390e-03 2.050080e-03 [74,] 6.479133e-03 -9.259390e-03 [75,] -1.528550e-03 6.479133e-03 [76,] -7.177860e-03 -1.528550e-03 [77,] 1.177700e-02 -7.177860e-03 [78,] -7.268383e-03 1.177700e-02 [79,] -2.904775e-02 -7.268383e-03 [80,] -5.502031e-03 -2.904775e-02 [81,] -1.152710e-02 -5.502031e-03 [82,] -1.089174e-03 -1.152710e-02 [83,] 4.911829e-03 -1.089174e-03 [84,] 9.653544e-03 4.911829e-03 [85,] 1.006784e-02 9.653544e-03 [86,] 1.370536e-02 1.006784e-02 [87,] 1.490398e-02 1.370536e-02 [88,] 1.583569e-02 1.490398e-02 [89,] 3.478503e-02 1.583569e-02 [90,] 4.345679e-02 3.478503e-02 [91,] -1.326504e-02 4.345679e-02 [92,] 3.619020e-03 -1.326504e-02 [93,] -8.986141e-03 3.619020e-03 [94,] -4.678822e-06 -8.986141e-03 [95,] -2.555009e-03 -4.678822e-06 [96,] -7.661297e-03 -2.555009e-03 [97,] 3.244201e-03 -7.661297e-03 [98,] 3.598975e-03 3.244201e-03 [99,] 2.796376e-02 3.598975e-03 [100,] 3.542702e-02 2.796376e-02 [101,] 1.102212e-02 3.542702e-02 [102,] 2.878686e-02 1.102212e-02 [103,] 1.456718e-02 2.878686e-02 [104,] 8.017984e-03 1.456718e-02 [105,] 6.436981e-03 8.017984e-03 [106,] 6.481975e-03 6.436981e-03 [107,] 4.568296e-03 6.481975e-03 [108,] 9.161936e-03 4.568296e-03 [109,] -2.668178e-02 9.161936e-03 [110,] -9.045715e-03 -2.668178e-02 [111,] -1.739025e-02 -9.045715e-03 [112,] -1.482902e-02 -1.739025e-02 [113,] -1.056082e-02 -1.482902e-02 [114,] -1.010412e-02 -1.056082e-02 [115,] 2.348238e-02 -1.010412e-02 [116,] -6.503472e-03 2.348238e-02 [117,] 1.887231e-03 -6.503472e-03 [118,] -7.125570e-03 1.887231e-03 [119,] -1.308352e-02 -7.125570e-03 [120,] -3.603914e-03 -1.308352e-02 [121,] 5.376851e-03 -3.603914e-03 [122,] -1.121600e-02 5.376851e-03 [123,] -1.329437e-02 -1.121600e-02 [124,] -3.850062e-03 -1.329437e-02 [125,] -4.610189e-03 -3.850062e-03 [126,] 8.337387e-03 -4.610189e-03 [127,] -2.603964e-03 8.337387e-03 [128,] 1.320623e-03 -2.603964e-03 [129,] 1.105379e-02 1.320623e-03 [130,] -4.330760e-03 1.105379e-02 [131,] 2.191937e-03 -4.330760e-03 [132,] 4.367776e-03 2.191937e-03 [133,] 2.244737e-03 4.367776e-03 [134,] -7.784592e-04 2.244737e-03 [135,] -2.397512e-04 -7.784592e-04 [136,] 1.039526e-02 -2.397512e-04 [137,] 9.174454e-03 1.039526e-02 [138,] -6.691681e-03 9.174454e-03 [139,] 3.484737e-03 -6.691681e-03 [140,] 1.670410e-04 3.484737e-03 [141,] -9.338341e-03 1.670410e-04 [142,] 1.449301e-03 -9.338341e-03 [143,] 5.767558e-03 1.449301e-03 [144,] 3.494020e-04 5.767558e-03 [145,] -5.372420e-03 3.494020e-04 [146,] -1.548859e-02 -5.372420e-03 [147,] -2.982926e-02 -1.548859e-02 [148,] -1.588316e-02 -2.982926e-02 [149,] -1.356655e-02 -1.588316e-02 [150,] 4.330704e-04 -1.356655e-02 [151,] 1.082238e-02 4.330704e-04 [152,] 1.698301e-03 1.082238e-02 [153,] 8.995040e-03 1.698301e-03 [154,] 1.524534e-02 8.995040e-03 [155,] 4.517029e-03 1.524534e-02 [156,] -1.863347e-02 4.517029e-03 [157,] -2.288490e-02 -1.863347e-02 [158,] -3.283448e-02 -2.288490e-02 [159,] 3.116941e-03 -3.283448e-02 [160,] 4.398164e-03 3.116941e-03 [161,] -7.140848e-03 4.398164e-03 [162,] -4.571714e-03 -7.140848e-03 [163,] -9.294226e-03 -4.571714e-03 [164,] -8.321446e-03 -9.294226e-03 [165,] -4.431400e-03 -8.321446e-03 [166,] -8.344687e-03 -4.431400e-03 [167,] -1.324814e-02 -8.344687e-03 [168,] -2.584702e-02 -1.324814e-02 [169,] -2.194538e-02 -2.584702e-02 [170,] -1.832044e-02 -2.194538e-02 [171,] -8.488365e-04 -1.832044e-02 [172,] 6.303505e-03 -8.488365e-04 [173,] 6.708334e-03 6.303505e-03 [174,] 3.743066e-03 6.708334e-03 [175,] 6.084346e-03 3.743066e-03 [176,] 9.500949e-03 6.084346e-03 [177,] 6.210184e-03 9.500949e-03 [178,] 1.004784e-02 6.210184e-03 [179,] 6.352369e-03 1.004784e-02 [180,] 1.410786e-04 6.352369e-03 [181,] 7.814987e-03 1.410786e-04 [182,] 1.032475e-02 7.814987e-03 [183,] -1.570045e-03 1.032475e-02 [184,] -7.581368e-03 -1.570045e-03 [185,] 1.751445e-03 -7.581368e-03 [186,] -1.913762e-02 1.751445e-03 [187,] -5.738288e-03 -1.913762e-02 [188,] -6.836949e-03 -5.738288e-03 [189,] 4.043226e-03 -6.836949e-03 [190,] -6.535306e-03 4.043226e-03 [191,] -1.377859e-02 -6.535306e-03 [192,] 1.488778e-02 -1.377859e-02 [193,] 2.719242e-02 1.488778e-02 [194,] 2.429937e-02 2.719242e-02 > z <- as.data.frame(dum1) > z lag(myerror, k = 1) myerror 1 -4.410749e-03 1.440457e-02 2 -1.611574e-02 -4.410749e-03 3 -1.351031e-02 -1.611574e-02 4 -2.488841e-02 -1.351031e-02 5 1.586405e-03 -2.488841e-02 6 1.479125e-02 1.586405e-03 7 1.409905e-02 1.479125e-02 8 -6.787112e-03 1.409905e-02 9 1.658113e-03 -6.787112e-03 10 -3.362988e-03 1.658113e-03 11 -2.911585e-03 -3.362988e-03 12 -2.054376e-03 -2.911585e-03 13 -9.297200e-04 -2.054376e-03 14 1.899013e-03 -9.297200e-04 15 5.211587e-03 1.899013e-03 16 -8.017022e-04 5.211587e-03 17 4.879765e-03 -8.017022e-04 18 4.634087e-04 4.879765e-03 19 -4.614421e-03 4.634087e-04 20 5.959778e-03 -4.614421e-03 21 -1.107966e-04 5.959778e-03 22 8.689440e-04 -1.107966e-04 23 3.901636e-03 8.689440e-04 24 -4.242253e-03 3.901636e-03 25 9.352916e-04 -4.242253e-03 26 1.154490e-03 9.352916e-04 27 2.132984e-03 1.154490e-03 28 -6.113589e-03 2.132984e-03 29 -4.454517e-03 -6.113589e-03 30 5.025767e-03 -4.454517e-03 31 6.267833e-03 5.025767e-03 32 1.621715e-02 6.267833e-03 33 1.541758e-02 1.621715e-02 34 1.278236e-02 1.541758e-02 35 8.124137e-03 1.278236e-02 36 1.949299e-03 8.124137e-03 37 8.288759e-03 1.949299e-03 38 1.214589e-02 8.288759e-03 39 9.702009e-03 1.214589e-02 40 7.586045e-03 9.702009e-03 41 1.280246e-02 7.586045e-03 42 -4.909715e-03 1.280246e-02 43 -1.308589e-03 -4.909715e-03 44 4.589122e-03 -1.308589e-03 45 3.668464e-03 4.589122e-03 46 -1.286655e-03 3.668464e-03 47 6.014654e-03 -1.286655e-03 48 -9.040522e-03 6.014654e-03 49 -3.374017e-03 -9.040522e-03 50 2.447870e-04 -3.374017e-03 51 -7.585454e-03 2.447870e-04 52 -5.549802e-03 -7.585454e-03 53 -9.338611e-03 -5.549802e-03 54 7.306852e-03 -9.338611e-03 55 9.695794e-05 7.306852e-03 56 4.783437e-03 9.695794e-05 57 5.488998e-03 4.783437e-03 58 4.568943e-03 5.488998e-03 59 -1.900064e-03 4.568943e-03 60 3.890583e-03 -1.900064e-03 61 2.902528e-03 3.890583e-03 62 1.096486e-03 2.902528e-03 63 -3.609674e-03 1.096486e-03 64 3.057624e-03 -3.609674e-03 65 6.353589e-03 3.057624e-03 66 -1.537649e-02 6.353589e-03 67 -1.717186e-02 -1.537649e-02 68 -1.600063e-02 -1.717186e-02 69 -1.833713e-02 -1.600063e-02 70 -1.458035e-02 -1.833713e-02 71 -1.710644e-02 -1.458035e-02 72 2.050080e-03 -1.710644e-02 73 -9.259390e-03 2.050080e-03 74 6.479133e-03 -9.259390e-03 75 -1.528550e-03 6.479133e-03 76 -7.177860e-03 -1.528550e-03 77 1.177700e-02 -7.177860e-03 78 -7.268383e-03 1.177700e-02 79 -2.904775e-02 -7.268383e-03 80 -5.502031e-03 -2.904775e-02 81 -1.152710e-02 -5.502031e-03 82 -1.089174e-03 -1.152710e-02 83 4.911829e-03 -1.089174e-03 84 9.653544e-03 4.911829e-03 85 1.006784e-02 9.653544e-03 86 1.370536e-02 1.006784e-02 87 1.490398e-02 1.370536e-02 88 1.583569e-02 1.490398e-02 89 3.478503e-02 1.583569e-02 90 4.345679e-02 3.478503e-02 91 -1.326504e-02 4.345679e-02 92 3.619020e-03 -1.326504e-02 93 -8.986141e-03 3.619020e-03 94 -4.678822e-06 -8.986141e-03 95 -2.555009e-03 -4.678822e-06 96 -7.661297e-03 -2.555009e-03 97 3.244201e-03 -7.661297e-03 98 3.598975e-03 3.244201e-03 99 2.796376e-02 3.598975e-03 100 3.542702e-02 2.796376e-02 101 1.102212e-02 3.542702e-02 102 2.878686e-02 1.102212e-02 103 1.456718e-02 2.878686e-02 104 8.017984e-03 1.456718e-02 105 6.436981e-03 8.017984e-03 106 6.481975e-03 6.436981e-03 107 4.568296e-03 6.481975e-03 108 9.161936e-03 4.568296e-03 109 -2.668178e-02 9.161936e-03 110 -9.045715e-03 -2.668178e-02 111 -1.739025e-02 -9.045715e-03 112 -1.482902e-02 -1.739025e-02 113 -1.056082e-02 -1.482902e-02 114 -1.010412e-02 -1.056082e-02 115 2.348238e-02 -1.010412e-02 116 -6.503472e-03 2.348238e-02 117 1.887231e-03 -6.503472e-03 118 -7.125570e-03 1.887231e-03 119 -1.308352e-02 -7.125570e-03 120 -3.603914e-03 -1.308352e-02 121 5.376851e-03 -3.603914e-03 122 -1.121600e-02 5.376851e-03 123 -1.329437e-02 -1.121600e-02 124 -3.850062e-03 -1.329437e-02 125 -4.610189e-03 -3.850062e-03 126 8.337387e-03 -4.610189e-03 127 -2.603964e-03 8.337387e-03 128 1.320623e-03 -2.603964e-03 129 1.105379e-02 1.320623e-03 130 -4.330760e-03 1.105379e-02 131 2.191937e-03 -4.330760e-03 132 4.367776e-03 2.191937e-03 133 2.244737e-03 4.367776e-03 134 -7.784592e-04 2.244737e-03 135 -2.397512e-04 -7.784592e-04 136 1.039526e-02 -2.397512e-04 137 9.174454e-03 1.039526e-02 138 -6.691681e-03 9.174454e-03 139 3.484737e-03 -6.691681e-03 140 1.670410e-04 3.484737e-03 141 -9.338341e-03 1.670410e-04 142 1.449301e-03 -9.338341e-03 143 5.767558e-03 1.449301e-03 144 3.494020e-04 5.767558e-03 145 -5.372420e-03 3.494020e-04 146 -1.548859e-02 -5.372420e-03 147 -2.982926e-02 -1.548859e-02 148 -1.588316e-02 -2.982926e-02 149 -1.356655e-02 -1.588316e-02 150 4.330704e-04 -1.356655e-02 151 1.082238e-02 4.330704e-04 152 1.698301e-03 1.082238e-02 153 8.995040e-03 1.698301e-03 154 1.524534e-02 8.995040e-03 155 4.517029e-03 1.524534e-02 156 -1.863347e-02 4.517029e-03 157 -2.288490e-02 -1.863347e-02 158 -3.283448e-02 -2.288490e-02 159 3.116941e-03 -3.283448e-02 160 4.398164e-03 3.116941e-03 161 -7.140848e-03 4.398164e-03 162 -4.571714e-03 -7.140848e-03 163 -9.294226e-03 -4.571714e-03 164 -8.321446e-03 -9.294226e-03 165 -4.431400e-03 -8.321446e-03 166 -8.344687e-03 -4.431400e-03 167 -1.324814e-02 -8.344687e-03 168 -2.584702e-02 -1.324814e-02 169 -2.194538e-02 -2.584702e-02 170 -1.832044e-02 -2.194538e-02 171 -8.488365e-04 -1.832044e-02 172 6.303505e-03 -8.488365e-04 173 6.708334e-03 6.303505e-03 174 3.743066e-03 6.708334e-03 175 6.084346e-03 3.743066e-03 176 9.500949e-03 6.084346e-03 177 6.210184e-03 9.500949e-03 178 1.004784e-02 6.210184e-03 179 6.352369e-03 1.004784e-02 180 1.410786e-04 6.352369e-03 181 7.814987e-03 1.410786e-04 182 1.032475e-02 7.814987e-03 183 -1.570045e-03 1.032475e-02 184 -7.581368e-03 -1.570045e-03 185 1.751445e-03 -7.581368e-03 186 -1.913762e-02 1.751445e-03 187 -5.738288e-03 -1.913762e-02 188 -6.836949e-03 -5.738288e-03 189 4.043226e-03 -6.836949e-03 190 -6.535306e-03 4.043226e-03 191 -1.377859e-02 -6.535306e-03 192 1.488778e-02 -1.377859e-02 193 2.719242e-02 1.488778e-02 194 2.429937e-02 2.719242e-02 > 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/70g7d1386284359.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/8nzzi1386284359.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/94uyl1386284359.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/10oul31386284359.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$coefficients[i,1] > 0) myeq <- paste(myeq, '+', '') + myeq <- paste(myeq, mysum$coefficients[i,1], sep=' ') + if (rownames(mysum$coefficients)[i] != '(Intercept)') { + myeq <- paste(myeq, rownames(mysum$coefficients)[i], sep='') + if (rownames(mysum$coefficients)[i] != 't') myeq <- paste(myeq, '[t]', sep='') + } + } > myeq <- paste(myeq, ' + e[t]') > a<-table.row.start(a) > a<-table.element(a, myeq) > a<-table.row.end(a) > a<-table.end(a) > table.save(a,file="/var/wessaorg/rcomp/tmp/1116lf1386284359.tab") > a<-table.start() > a<-table.row.start(a) > a<-table.element(a,hyperlink('http://www.xycoon.com/ols1.htm','Multiple Linear Regression - Ordinary Least Squares',''), 6, TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'Variable',header=TRUE) > a<-table.element(a,'Parameter',header=TRUE) > a<-table.element(a,'S.D.',header=TRUE) > a<-table.element(a,'T-STAT
H0: parameter = 0',header=TRUE) > a<-table.element(a,'2-tail p-value',header=TRUE) > a<-table.element(a,'1-tail p-value',header=TRUE) > a<-table.row.end(a) > for (i in 1:k){ + a<-table.row.start(a) + a<-table.element(a,rownames(mysum$coefficients)[i],header=TRUE) + a<-table.element(a,mysum$coefficients[i,1]) + a<-table.element(a, round(mysum$coefficients[i,2],6)) + a<-table.element(a, round(mysum$coefficients[i,3],4)) + a<-table.element(a, round(mysum$coefficients[i,4],6)) + a<-table.element(a, round(mysum$coefficients[i,4]/2,6)) + a<-table.row.end(a) + } > a<-table.end(a) > table.save(a,file="/var/wessaorg/rcomp/tmp/12t2hn1386284359.tab") > a<-table.start() > a<-table.row.start(a) > a<-table.element(a, 'Multiple Linear Regression - Regression Statistics', 2, TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a, 'Multiple R',1,TRUE) > a<-table.element(a, sqrt(mysum$r.squared)) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a, 'R-squared',1,TRUE) > a<-table.element(a, mysum$r.squared) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a, 'Adjusted R-squared',1,TRUE) > a<-table.element(a, mysum$adj.r.squared) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a, 'F-TEST (value)',1,TRUE) > a<-table.element(a, mysum$fstatistic[1]) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a, 'F-TEST (DF numerator)',1,TRUE) > a<-table.element(a, mysum$fstatistic[2]) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a, 'F-TEST (DF denominator)',1,TRUE) > a<-table.element(a, mysum$fstatistic[3]) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a, 'p-value',1,TRUE) > a<-table.element(a, 1-pf(mysum$fstatistic[1],mysum$fstatistic[2],mysum$fstatistic[3])) > 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, mysum$sigma) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a, 'Sum Squared Residuals',1,TRUE) > a<-table.element(a, sum(myerror*myerror)) > a<-table.row.end(a) > a<-table.end(a) > table.save(a,file="/var/wessaorg/rcomp/tmp/13a1t71386284359.tab") > a<-table.start() > a<-table.row.start(a) > a<-table.element(a, 'Multiple Linear Regression - Actuals, Interpolation, and Residuals', 4, TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a, 'Time or Index', 1, TRUE) > a<-table.element(a, 'Actuals', 1, TRUE) > a<-table.element(a, 'Interpolation
Forecast', 1, TRUE) > a<-table.element(a, 'Residuals
Prediction Error', 1, TRUE) > a<-table.row.end(a) > for (i in 1:n) { + a<-table.row.start(a) + a<-table.element(a,i, 1, TRUE) + a<-table.element(a,x[i]) + a<-table.element(a,x[i]-mysum$resid[i]) + a<-table.element(a,mysum$resid[i]) + a<-table.row.end(a) + } > a<-table.end(a) > table.save(a,file="/var/wessaorg/rcomp/tmp/14saf51386284359.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,gqarr[mypoint-kp3+1,1]) + a<-table.element(a,gqarr[mypoint-kp3+1,2]) + a<-table.element(a,gqarr[mypoint-kp3+1,3]) + a<-table.row.end(a) + } + a<-table.end(a) + table.save(a,file="/var/wessaorg/rcomp/tmp/15sbty1386284359.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,numsignificant1) + a<-table.element(a,numsignificant1/numgqtests) + 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,numsignificant5) + a<-table.element(a,numsignificant5/numgqtests) + 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,numsignificant10) + a<-table.element(a,numsignificant10/numgqtests) + 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/16upgr1386284359.tab") + } > > try(system("convert tmp/17u0z1386284358.ps tmp/17u0z1386284358.png",intern=TRUE)) character(0) > try(system("convert tmp/2gbpj1386284358.ps tmp/2gbpj1386284358.png",intern=TRUE)) character(0) > try(system("convert tmp/3itur1386284359.ps tmp/3itur1386284359.png",intern=TRUE)) character(0) > try(system("convert tmp/4dgcs1386284359.ps tmp/4dgcs1386284359.png",intern=TRUE)) character(0) > try(system("convert tmp/5krkp1386284359.ps tmp/5krkp1386284359.png",intern=TRUE)) character(0) > try(system("convert tmp/6zrlh1386284359.ps tmp/6zrlh1386284359.png",intern=TRUE)) character(0) > try(system("convert tmp/70g7d1386284359.ps tmp/70g7d1386284359.png",intern=TRUE)) character(0) > try(system("convert tmp/8nzzi1386284359.ps tmp/8nzzi1386284359.png",intern=TRUE)) character(0) > try(system("convert tmp/94uyl1386284359.ps tmp/94uyl1386284359.png",intern=TRUE)) character(0) > try(system("convert tmp/10oul31386284359.ps tmp/10oul31386284359.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 40.571 6.580 47.132