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)
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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
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+ ,0.02551
+ ,0.237
+ ,0.01321
+ ,0.01574
+ ,0.02148
+ ,0.03964
+ ,0.00611
+ ,23.133
+ ,1
+ ,0.352396
+ ,0.75932
+ ,-6.261446
+ ,0.183218
+ ,2.264226
+ ,0.144105
+ ,148.462
+ ,161.078
+ ,141.998
+ ,0.00397
+ ,0.00003
+ ,0.00202
+ ,0.00235
+ ,0.00605
+ ,0.01831
+ ,0.163
+ ,0.0095
+ ,0.01103
+ ,0.01559
+ ,0.02849
+ ,0.00639
+ ,22.866
+ ,1
+ ,0.408598
+ ,0.768845
+ ,-5.704053
+ ,0.216204
+ ,2.679185
+ ,0.19771
+ ,149.818
+ ,163.417
+ ,144.786
+ ,0.00336
+ ,0.00002
+ ,0.00174
+ ,0.00198
+ ,0.00521
+ ,0.02145
+ ,0.198
+ ,0.01155
+ ,0.01341
+ ,0.01666
+ ,0.03464
+ ,0.00595
+ ,23.008
+ ,1
+ ,0.329577
+ ,0.75718
+ ,-6.27717
+ ,0.109397
+ ,2.209021
+ ,0.156368
+ ,117.226
+ ,123.925
+ ,106.656
+ ,0.00417
+ ,0.00004
+ ,0.00186
+ ,0.0027
+ ,0.00558
+ ,0.01909
+ ,0.171
+ ,0.00864
+ ,0.01223
+ ,0.01949
+ ,0.02592
+ ,0.00955
+ ,23.079
+ ,0
+ ,0.603515
+ ,0.669565
+ ,-5.61907
+ ,0.191576
+ ,2.027228
+ ,0.215724
+ ,116.848
+ ,217.552
+ ,99.503
+ ,0.00531
+ ,0.00005
+ ,0.0026
+ ,0.00346
+ ,0.0078
+ ,0.01795
+ ,0.163
+ ,0.0081
+ ,0.01144
+ ,0.01756
+ ,0.02429
+ ,0.01179
+ ,22.085
+ ,0
+ ,0.663842
+ ,0.656516
+ ,-5.198864
+ ,0.206768
+ ,2.120412
+ ,0.252404
+ ,116.286
+ ,177.291
+ ,96.983
+ ,0.00314
+ ,0.00003
+ ,0.00134
+ ,0.00192
+ ,0.00403
+ ,0.01564
+ ,0.136
+ ,0.00667
+ ,0.0099
+ ,0.01691
+ ,0.02001
+ ,0.00737
+ ,24.199
+ ,0
+ ,0.598515
+ ,0.654331
+ ,-5.592584
+ ,0.133917
+ ,2.058658
+ ,0.214346
+ ,116.556
+ ,592.03
+ ,86.228
+ ,0.00496
+ ,0.00004
+ ,0.00254
+ ,0.00263
+ ,0.00762
+ ,0.0166
+ ,0.154
+ ,0.0082
+ ,0.00972
+ ,0.01491
+ ,0.0246
+ ,0.01397
+ ,23.958
+ ,0
+ ,0.566424
+ ,0.667654
+ ,-6.431119
+ ,0.15331
+ ,2.161936
+ ,0.120605
+ ,116.342
+ ,581.289
+ ,94.246
+ ,0.00267
+ ,0.00002
+ ,0.00115
+ ,0.00148
+ ,0.00345
+ ,0.013
+ ,0.117
+ ,0.00631
+ ,0.00789
+ ,0.01144
+ ,0.01892
+ ,0.0068
+ ,25.023
+ ,0
+ ,0.528485
+ ,0.663884
+ ,-6.359018
+ ,0.116636
+ ,2.152083
+ ,0.138868
+ ,114.563
+ ,119.167
+ ,86.647
+ ,0.00327
+ ,0.00003
+ ,0.00146
+ ,0.00184
+ ,0.00439
+ ,0.01185
+ ,0.106
+ ,0.00557
+ ,0.00721
+ ,0.01095
+ ,0.01672
+ ,0.00703
+ ,24.775
+ ,0
+ ,0.555303
+ ,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