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
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Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
> x <- array(list(1
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+ ,0.01095
+ ,0.01672
+ ,0.00703
+ ,24.775
+ ,0.555303
+ ,0.659132
+ ,-6.710219
+ ,0.149694
+ ,1.91399
+ ,0.121777
+ ,0
+ ,201.774
+ ,262.707
+ ,78.228
+ ,0.00694
+ ,0.00412
+ ,0.00396
+ ,0.01235
+ ,0.02574
+ ,0.255
+ ,0.01454
+ ,0.01582
+ ,0.01758
+ ,0.04363
+ ,0.04441
+ ,19.368
+ ,0.508479
+ ,0.683761
+ ,-6.934474
+ ,0.15989
+ ,2.316346
+ ,0.112838
+ ,0
+ ,174.188
+ ,230.978
+ ,94.261
+ ,0.00459
+ ,0.00263
+ ,0.00259
+ ,0.0079
+ ,0.04087
+ ,0.405
+ ,0.02336
+ ,0.02498
+ ,0.02745
+ ,0.07008
+ ,0.02764
+ ,19.517
+ ,0.448439
+ ,0.657899
+ ,-6.538586
+ ,0.121952
+ ,2.657476
+ ,0.13305
+ ,0
+ ,209.516
+ ,253.017
+ ,89.488
+ ,0.00564
+ ,0.00331
+ ,0.00292
+ ,0.00994
+ ,0.02751
+ ,0.263
+ ,0.01604
+ ,0.01657
+ ,0.01879
+ ,0.04812
+ ,0.0181
+ ,19.147
+ ,0.431674
+ ,0.683244
+ ,-6.195325
+ ,0.129303
+ ,2.784312
+ ,0.168895
+ ,0
+ ,174.688
+ ,240.005
+ ,74.287
+ ,0.0136
+ ,0.00624
+ ,0.00564
+ ,0.01873
+ ,0.02308
+ ,0.256
+ ,0.01268
+ ,0.01365
+ ,0.01667
+ ,0.03804
+ ,0.10715
+ ,17.883
+ ,0.407567
+ ,0.655683
+ ,-6.787197
+ ,0.158453
+ ,2.679772
+ ,0.131728
+ ,0
+ ,198.764
+ ,396.961
+ ,74.904
+ ,0.0074
+ ,0.0037
+ ,0.0039
+ ,0.01109
+ ,0.02296
+ ,0.241
+ ,0.01265
+ ,0.01321
+ ,0.01588
+ ,0.03794
+ ,0.07223
+ ,19.02
+ ,0.451221
+ ,0.643956
+ ,-6.744577
+ ,0.207454
+ ,2.138608
+ ,0.123306
+ ,0
+ ,214.289
+ ,260.277
+ ,77.973
+ ,0.00567
+ ,0.00295
+ ,0.00317
+ ,0.00885
+ ,0.01884
+ ,0.19
+ ,0.01026
+ ,0.01161
+ ,0.01373
+ ,0.03078
+ ,0.04398
+ ,21.209
+ ,0.462803
+ ,0.664357
+ ,-5.724056
+ ,0.190667
+ ,2.555477
+ ,0.148569)
+ ,dim=c(22
+ ,195)
+ ,dimnames=list(c('status'
+ ,'MDVP:Fo(Hz)'
+ ,'MDVP:Fhi(Hz)'
+ ,'MDVP:Flo(Hz)'
+ ,'MDVP:Jitter(%)'
+ ,'MDVP:RAP'
+ ,'MDVP:PPQ'
+ ,'Jitter:DDP'
+ ,'MDVP:Shimmer'
+ ,'MDVP:Shimmer(dB)'
+ ,'Shimmer:APQ3'
+ ,'Shimmer:APQ5'
+ ,'MDVP:APQ'
+ ,'Shimmer:DDA'
+ ,'NHR'
+ ,'HNR'
+ ,'RPDE'
+ ,'DFA'
+ ,'spread1'
+ ,'spread2'
+ ,'D2'
+ ,'PPE')
+ ,1:195))
> y <- array(NA,dim=c(22,195),dimnames=list(c('status','MDVP:Fo(Hz)','MDVP:Fhi(Hz)','MDVP:Flo(Hz)','MDVP:Jitter(%)','MDVP:RAP','MDVP:PPQ','Jitter:DDP','MDVP:Shimmer','MDVP:Shimmer(dB)','Shimmer:APQ3','Shimmer:APQ5','MDVP:APQ','Shimmer:DDA','NHR','HNR','RPDE','DFA','spread1','spread2','D2','PPE'),1:195))
> for (i in 1:dim(x)[1])
+ {
+ for (j in 1:dim(x)[2])
+ {
+ y[i,j] <- as.numeric(x[i,j])
+ }
+ }
> par3 = 'No Linear Trend'
> par2 = 'Do not include Seasonal Dummies'
> par1 = '1'
> par3 <- 'No Linear Trend'
> par2 <- 'Do not include Seasonal Dummies'
> par1 <- '1'
> #'GNU S' R Code compiled by R2WASP v. 1.2.327 ()
> #Author: root
> #To cite this work: Wessa P., (2013), Multiple Regression (v1.0.29) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_multipleregression.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #
> library(lattice)
> library(lmtest)
Loading required package: zoo
Attaching package: 'zoo'
The following objects are masked from 'package:base':
as.Date, as.Date.numeric
> n25 <- 25 #minimum number of obs. for Goldfeld-Quandt test
> par1 <- as.numeric(par1)
> x <- t(y)
> k <- length(x[1,])
> n <- length(x[,1])
> x1 <- cbind(x[,par1], x[,1:k!=par1])
> mycolnames <- c(colnames(x)[par1], colnames(x)[1:k!=par1])
> colnames(x1) <- mycolnames #colnames(x)[par1]
> x <- x1
> if (par3 == 'First Differences'){
+ x2 <- array(0, dim=c(n-1,k), dimnames=list(1:(n-1), paste('(1-B)',colnames(x),sep='')))
+ for (i in 1:n-1) {
+ for (j in 1:k) {
+ x2[i,j] <- x[i+1,j] - x[i,j]
+ }
+ }
+ x <- x2
+ }
> if (par2 == 'Include Monthly Dummies'){
+ x2 <- array(0, dim=c(n,11), dimnames=list(1:n, paste('M', seq(1:11), sep ='')))
+ for (i in 1:11){
+ x2[seq(i,n,12),i] <- 1
+ }
+ x <- cbind(x, x2)
+ }
> if (par2 == 'Include Quarterly Dummies'){
+ x2 <- array(0, dim=c(n,3), dimnames=list(1:n, paste('Q', seq(1:3), sep ='')))
+ for (i in 1:3){
+ x2[seq(i,n,4),i] <- 1
+ }
+ x <- cbind(x, x2)
+ }
> k <- length(x[1,])
> if (par3 == 'Linear Trend'){
+ x <- cbind(x, c(1:n))
+ colnames(x)[k+1] <- 't'
+ }
> x
status MDVP:Fo(Hz) MDVP:Fhi(Hz) MDVP:Flo(Hz) MDVP:Jitter(%) MDVP:RAP
1 1 119.992 157.302 74.997 0.00784 0.00370
2 1 122.400 148.650 113.819 0.00968 0.00465
3 1 116.682 131.111 111.555 0.01050 0.00544
4 1 116.676 137.871 111.366 0.00997 0.00502
5 1 116.014 141.781 110.655 0.01284 0.00655
6 1 120.552 131.162 113.787 0.00968 0.00463
7 1 120.267 137.244 114.820 0.00333 0.00155
8 1 107.332 113.840 104.315 0.00290 0.00144
9 1 95.730 132.068 91.754 0.00551 0.00293
10 1 95.056 120.103 91.226 0.00532 0.00268
11 1 88.333 112.240 84.072 0.00505 0.00254
12 1 91.904 115.871 86.292 0.00540 0.00281
13 1 136.926 159.866 131.276 0.00293 0.00118
14 1 139.173 179.139 76.556 0.00390 0.00165
15 1 152.845 163.305 75.836 0.00294 0.00121
16 1 142.167 217.455 83.159 0.00369 0.00157
17 1 144.188 349.259 82.764 0.00544 0.00211
18 1 168.778 232.181 75.603 0.00718 0.00284
19 1 153.046 175.829 68.623 0.00742 0.00364
20 1 156.405 189.398 142.822 0.00768 0.00372
21 1 153.848 165.738 65.782 0.00840 0.00428
22 1 153.880 172.860 78.128 0.00480 0.00232
23 1 167.930 193.221 79.068 0.00442 0.00220
24 1 173.917 192.735 86.180 0.00476 0.00221
25 1 163.656 200.841 76.779 0.00742 0.00380
26 1 104.400 206.002 77.968 0.00633 0.00316
27 1 171.041 208.313 75.501 0.00455 0.00250
28 1 146.845 208.701 81.737 0.00496 0.00250
29 1 155.358 227.383 80.055 0.00310 0.00159
30 1 162.568 198.346 77.630 0.00502 0.00280
31 0 197.076 206.896 192.055 0.00289 0.00166
32 0 199.228 209.512 192.091 0.00241 0.00134
33 0 198.383 215.203 193.104 0.00212 0.00113
34 0 202.266 211.604 197.079 0.00180 0.00093
35 0 203.184 211.526 196.160 0.00178 0.00094
36 0 201.464 210.565 195.708 0.00198 0.00105
37 1 177.876 192.921 168.013 0.00411 0.00233
38 1 176.170 185.604 163.564 0.00369 0.00205
39 1 180.198 201.249 175.456 0.00284 0.00153
40 1 187.733 202.324 173.015 0.00316 0.00168
41 1 186.163 197.724 177.584 0.00298 0.00165
42 1 184.055 196.537 166.977 0.00258 0.00134
43 0 237.226 247.326 225.227 0.00298 0.00169
44 0 241.404 248.834 232.483 0.00281 0.00157
45 0 243.439 250.912 232.435 0.00210 0.00109
46 0 242.852 255.034 227.911 0.00225 0.00117
47 0 245.510 262.090 231.848 0.00235 0.00127
48 0 252.455 261.487 182.786 0.00185 0.00092
49 0 122.188 128.611 115.765 0.00524 0.00169
50 0 122.964 130.049 114.676 0.00428 0.00124
51 0 124.445 135.069 117.495 0.00431 0.00141
52 0 126.344 134.231 112.773 0.00448 0.00131
53 0 128.001 138.052 122.080 0.00436 0.00137
54 0 129.336 139.867 118.604 0.00490 0.00165
55 1 108.807 134.656 102.874 0.00761 0.00349
56 1 109.860 126.358 104.437 0.00874 0.00398
57 1 110.417 131.067 103.370 0.00784 0.00352
58 1 117.274 129.916 110.402 0.00752 0.00299
59 1 116.879 131.897 108.153 0.00788 0.00334
60 1 114.847 271.314 104.680 0.00867 0.00373
61 0 209.144 237.494 109.379 0.00282 0.00147
62 0 223.365 238.987 98.664 0.00264 0.00154
63 0 222.236 231.345 205.495 0.00266 0.00152
64 0 228.832 234.619 223.634 0.00296 0.00175
65 0 229.401 252.221 221.156 0.00205 0.00114
66 0 228.969 239.541 113.201 0.00238 0.00136
67 1 140.341 159.774 67.021 0.00817 0.00430
68 1 136.969 166.607 66.004 0.00923 0.00507
69 1 143.533 162.215 65.809 0.01101 0.00647
70 1 148.090 162.824 67.343 0.00762 0.00467
71 1 142.729 162.408 65.476 0.00831 0.00469
72 1 136.358 176.595 65.750 0.00971 0.00534
73 1 120.080 139.710 111.208 0.00405 0.00180
74 1 112.014 588.518 107.024 0.00533 0.00268
75 1 110.793 128.101 107.316 0.00494 0.00260
76 1 110.707 122.611 105.007 0.00516 0.00277
77 1 112.876 148.826 106.981 0.00500 0.00270
78 1 110.568 125.394 106.821 0.00462 0.00226
79 1 95.385 102.145 90.264 0.00608 0.00331
80 1 100.770 115.697 85.545 0.01038 0.00622
81 1 96.106 108.664 84.510 0.00694 0.00389
82 1 95.605 107.715 87.549 0.00702 0.00428
83 1 100.960 110.019 95.628 0.00606 0.00351
84 1 98.804 102.305 87.804 0.00432 0.00247
85 1 176.858 205.560 75.344 0.00747 0.00418
86 1 180.978 200.125 155.495 0.00406 0.00220
87 1 178.222 202.450 141.047 0.00321 0.00163
88 1 176.281 227.381 125.610 0.00520 0.00287
89 1 173.898 211.350 74.677 0.00448 0.00237
90 1 179.711 225.930 144.878 0.00709 0.00391
91 1 166.605 206.008 78.032 0.00742 0.00387
92 1 151.955 163.335 147.226 0.00419 0.00224
93 1 148.272 164.989 142.299 0.00459 0.00250
94 1 152.125 161.469 76.596 0.00382 0.00191
95 1 157.821 172.975 68.401 0.00358 0.00196
96 1 157.447 163.267 149.605 0.00369 0.00201
97 1 159.116 168.913 144.811 0.00342 0.00178
98 1 125.036 143.946 116.187 0.01280 0.00743
99 1 125.791 140.557 96.206 0.01378 0.00826
100 1 126.512 141.756 99.770 0.01936 0.01159
101 1 125.641 141.068 116.346 0.03316 0.02144
102 1 128.451 150.449 75.632 0.01551 0.00905
103 1 139.224 586.567 66.157 0.03011 0.01854
104 1 150.258 154.609 75.349 0.00248 0.00105
105 1 154.003 160.267 128.621 0.00183 0.00076
106 1 149.689 160.368 133.608 0.00257 0.00116
107 1 155.078 163.736 144.148 0.00168 0.00068
108 1 151.884 157.765 133.751 0.00258 0.00115
109 1 151.989 157.339 132.857 0.00174 0.00075
110 1 193.030 208.900 80.297 0.00766 0.00450
111 1 200.714 223.982 89.686 0.00621 0.00371
112 1 208.519 220.315 199.020 0.00609 0.00368
113 1 204.664 221.300 189.621 0.00841 0.00502
114 1 210.141 232.706 185.258 0.00534 0.00321
115 1 206.327 226.355 92.020 0.00495 0.00302
116 1 151.872 492.892 69.085 0.00856 0.00404
117 1 158.219 442.557 71.948 0.00476 0.00214
118 1 170.756 450.247 79.032 0.00555 0.00244
119 1 178.285 442.824 82.063 0.00462 0.00157
120 1 217.116 233.481 93.978 0.00404 0.00127
121 1 128.940 479.697 88.251 0.00581 0.00241
122 1 176.824 215.293 83.961 0.00460 0.00209
123 1 138.190 203.522 83.340 0.00704 0.00406
124 1 182.018 197.173 79.187 0.00842 0.00506
125 1 156.239 195.107 79.820 0.00694 0.00403
126 1 145.174 198.109 80.637 0.00733 0.00414
127 1 138.145 197.238 81.114 0.00544 0.00294
128 1 166.888 198.966 79.512 0.00638 0.00368
129 1 119.031 127.533 109.216 0.00440 0.00214
130 1 120.078 126.632 105.667 0.00270 0.00116
131 1 120.289 128.143 100.209 0.00492 0.00269
132 1 120.256 125.306 104.773 0.00407 0.00224
133 1 119.056 125.213 86.795 0.00346 0.00169
134 1 118.747 123.723 109.836 0.00331 0.00168
135 1 106.516 112.777 93.105 0.00589 0.00291
136 1 110.453 127.611 105.554 0.00494 0.00244
137 1 113.400 133.344 107.816 0.00451 0.00219
138 1 113.166 130.270 100.673 0.00502 0.00257
139 1 112.239 126.609 104.095 0.00472 0.00238
140 1 116.150 131.731 109.815 0.00381 0.00181
141 1 170.368 268.796 79.543 0.00571 0.00232
142 1 208.083 253.792 91.802 0.00757 0.00428
143 1 198.458 219.290 148.691 0.00376 0.00182
144 1 202.805 231.508 86.232 0.00370 0.00189
145 1 202.544 241.350 164.168 0.00254 0.00100
146 1 223.361 263.872 87.638 0.00352 0.00169
147 1 169.774 191.759 151.451 0.01568 0.00863
148 1 183.520 216.814 161.340 0.01466 0.00849
149 1 188.620 216.302 165.982 0.01719 0.00996
150 1 202.632 565.740 177.258 0.01627 0.00919
151 1 186.695 211.961 149.442 0.01872 0.01075
152 1 192.818 224.429 168.793 0.03107 0.01800
153 1 198.116 233.099 174.478 0.02714 0.01568
154 1 121.345 139.644 98.250 0.00684 0.00388
155 1 119.100 128.442 88.833 0.00692 0.00393
156 1 117.870 127.349 95.654 0.00647 0.00356
157 1 122.336 142.369 94.794 0.00727 0.00415
158 1 117.963 134.209 100.757 0.01813 0.01117
159 1 126.144 154.284 97.543 0.00975 0.00593
160 1 127.930 138.752 112.173 0.00605 0.00321
161 1 114.238 124.393 77.022 0.00581 0.00299
162 1 115.322 135.738 107.802 0.00619 0.00352
163 1 114.554 126.778 91.121 0.00651 0.00366
164 1 112.150 131.669 97.527 0.00519 0.00291
165 1 102.273 142.830 85.902 0.00907 0.00493
166 0 236.200 244.663 102.137 0.00277 0.00154
167 0 237.323 243.709 229.256 0.00303 0.00173
168 0 260.105 264.919 237.303 0.00339 0.00205
169 0 197.569 217.627 90.794 0.00803 0.00490
170 0 240.301 245.135 219.783 0.00517 0.00316
171 0 244.990 272.210 239.170 0.00451 0.00279
172 0 112.547 133.374 105.715 0.00355 0.00166
173 0 110.739 113.597 100.139 0.00356 0.00170
174 0 113.715 116.443 96.913 0.00349 0.00171
175 0 117.004 144.466 99.923 0.00353 0.00176
176 0 115.380 123.109 108.634 0.00332 0.00160
177 0 116.388 129.038 108.970 0.00346 0.00169
178 1 151.737 190.204 129.859 0.00314 0.00135
179 1 148.790 158.359 138.990 0.00309 0.00152
180 1 148.143 155.982 135.041 0.00392 0.00204
181 1 150.440 163.441 144.736 0.00396 0.00206
182 1 148.462 161.078 141.998 0.00397 0.00202
183 1 149.818 163.417 144.786 0.00336 0.00174
184 0 117.226 123.925 106.656 0.00417 0.00186
185 0 116.848 217.552 99.503 0.00531 0.00260
186 0 116.286 177.291 96.983 0.00314 0.00134
187 0 116.556 592.030 86.228 0.00496 0.00254
188 0 116.342 581.289 94.246 0.00267 0.00115
189 0 114.563 119.167 86.647 0.00327 0.00146
190 0 201.774 262.707 78.228 0.00694 0.00412
191 0 174.188 230.978 94.261 0.00459 0.00263
192 0 209.516 253.017 89.488 0.00564 0.00331
193 0 174.688 240.005 74.287 0.01360 0.00624
194 0 198.764 396.961 74.904 0.00740 0.00370
195 0 214.289 260.277 77.973 0.00567 0.00295
MDVP:PPQ Jitter:DDP MDVP:Shimmer MDVP:Shimmer(dB) Shimmer:APQ3 Shimmer:APQ5
1 0.00554 0.01109 0.04374 0.426 0.02182 0.03130
2 0.00696 0.01394 0.06134 0.626 0.03134 0.04518
3 0.00781 0.01633 0.05233 0.482 0.02757 0.03858
4 0.00698 0.01505 0.05492 0.517 0.02924 0.04005
5 0.00908 0.01966 0.06425 0.584 0.03490 0.04825
6 0.00750 0.01388 0.04701 0.456 0.02328 0.03526
7 0.00202 0.00466 0.01608 0.140 0.00779 0.00937
8 0.00182 0.00431 0.01567 0.134 0.00829 0.00946
9 0.00332 0.00880 0.02093 0.191 0.01073 0.01277
10 0.00332 0.00803 0.02838 0.255 0.01441 0.01725
11 0.00330 0.00763 0.02143 0.197 0.01079 0.01342
12 0.00336 0.00844 0.02752 0.249 0.01424 0.01641
13 0.00153 0.00355 0.01259 0.112 0.00656 0.00717
14 0.00208 0.00496 0.01642 0.154 0.00728 0.00932
15 0.00149 0.00364 0.01828 0.158 0.01064 0.00972
16 0.00203 0.00471 0.01503 0.126 0.00772 0.00888
17 0.00292 0.00632 0.02047 0.192 0.00969 0.01200
18 0.00387 0.00853 0.03327 0.348 0.01441 0.01893
19 0.00432 0.01092 0.05517 0.542 0.02471 0.03572
20 0.00399 0.01116 0.03995 0.348 0.01721 0.02374
21 0.00450 0.01285 0.03810 0.328 0.01667 0.02383
22 0.00267 0.00696 0.04137 0.370 0.02021 0.02591
23 0.00247 0.00661 0.04351 0.377 0.02228 0.02540
24 0.00258 0.00663 0.04192 0.364 0.02187 0.02470
25 0.00390 0.01140 0.01659 0.164 0.00738 0.00948
26 0.00375 0.00948 0.03767 0.381 0.01732 0.02245
27 0.00234 0.00750 0.01966 0.186 0.00889 0.01169
28 0.00275 0.00749 0.01919 0.198 0.00883 0.01144
29 0.00176 0.00476 0.01718 0.161 0.00769 0.01012
30 0.00253 0.00841 0.01791 0.168 0.00793 0.01057
31 0.00168 0.00498 0.01098 0.097 0.00563 0.00680
32 0.00138 0.00402 0.01015 0.089 0.00504 0.00641
33 0.00135 0.00339 0.01263 0.111 0.00640 0.00825
34 0.00107 0.00278 0.00954 0.085 0.00469 0.00606
35 0.00106 0.00283 0.00958 0.085 0.00468 0.00610
36 0.00115 0.00314 0.01194 0.107 0.00586 0.00760
37 0.00241 0.00700 0.02126 0.189 0.01154 0.01347
38 0.00218 0.00616 0.01851 0.168 0.00938 0.01160
39 0.00166 0.00459 0.01444 0.131 0.00726 0.00885
40 0.00182 0.00504 0.01663 0.151 0.00829 0.01003
41 0.00175 0.00496 0.01495 0.135 0.00774 0.00941
42 0.00147 0.00403 0.01463 0.132 0.00742 0.00901
43 0.00182 0.00507 0.01752 0.164 0.01035 0.01024
44 0.00173 0.00470 0.01760 0.154 0.01006 0.01038
45 0.00137 0.00327 0.01419 0.126 0.00777 0.00898
46 0.00139 0.00350 0.01494 0.134 0.00847 0.00879
47 0.00148 0.00380 0.01608 0.141 0.00906 0.00977
48 0.00113 0.00276 0.01152 0.103 0.00614 0.00730
49 0.00203 0.00507 0.01613 0.143 0.00855 0.00776
50 0.00155 0.00373 0.01681 0.154 0.00930 0.00802
51 0.00167 0.00422 0.02184 0.197 0.01241 0.01024
52 0.00169 0.00393 0.02033 0.185 0.01143 0.00959
53 0.00166 0.00411 0.02297 0.210 0.01323 0.01072
54 0.00183 0.00495 0.02498 0.228 0.01396 0.01219
55 0.00486 0.01046 0.02719 0.255 0.01483 0.01609
56 0.00539 0.01193 0.03209 0.307 0.01789 0.01992
57 0.00514 0.01056 0.03715 0.334 0.02032 0.02302
58 0.00469 0.00898 0.02293 0.221 0.01189 0.01459
59 0.00493 0.01003 0.02645 0.265 0.01394 0.01625
60 0.00520 0.01120 0.03225 0.350 0.01805 0.01974
61 0.00152 0.00442 0.01861 0.170 0.00975 0.01258
62 0.00151 0.00461 0.01906 0.165 0.01013 0.01296
63 0.00144 0.00457 0.01643 0.145 0.00867 0.01108
64 0.00155 0.00526 0.01644 0.145 0.00882 0.01075
65 0.00113 0.00342 0.01457 0.129 0.00769 0.00957
66 0.00140 0.00408 0.01745 0.154 0.00942 0.01160
67 0.00440 0.01289 0.03198 0.313 0.01830 0.01810
68 0.00463 0.01520 0.03111 0.308 0.01638 0.01759
69 0.00467 0.01941 0.05384 0.478 0.03152 0.02422
70 0.00354 0.01400 0.05428 0.497 0.03357 0.02494
71 0.00419 0.01407 0.03485 0.365 0.01868 0.01906
72 0.00478 0.01601 0.04978 0.483 0.02749 0.02466
73 0.00220 0.00540 0.01706 0.152 0.00974 0.00925
74 0.00329 0.00805 0.02448 0.226 0.01373 0.01375
75 0.00283 0.00780 0.02442 0.216 0.01432 0.01325
76 0.00289 0.00831 0.02215 0.206 0.01284 0.01219
77 0.00289 0.00810 0.03999 0.350 0.02413 0.02231
78 0.00280 0.00677 0.02199 0.197 0.01284 0.01199
79 0.00332 0.00994 0.03202 0.263 0.01803 0.01886
80 0.00576 0.01865 0.03121 0.361 0.01773 0.01783
81 0.00415 0.01168 0.04024 0.364 0.02266 0.02451
82 0.00371 0.01283 0.03156 0.296 0.01792 0.01841
83 0.00348 0.01053 0.02427 0.216 0.01371 0.01421
84 0.00258 0.00742 0.02223 0.202 0.01277 0.01343
85 0.00420 0.01254 0.04795 0.435 0.02679 0.03022
86 0.00244 0.00659 0.03852 0.331 0.02107 0.02493
87 0.00194 0.00488 0.03759 0.327 0.02073 0.02415
88 0.00312 0.00862 0.06511 0.580 0.03671 0.04159
89 0.00254 0.00710 0.06727 0.650 0.03788 0.04254
90 0.00419 0.01172 0.04313 0.442 0.02297 0.02768
91 0.00453 0.01161 0.06640 0.634 0.03650 0.04282
92 0.00227 0.00672 0.07959 0.772 0.04421 0.04962
93 0.00256 0.00750 0.04190 0.383 0.02383 0.02521
94 0.00226 0.00574 0.05925 0.637 0.03341 0.03794
95 0.00196 0.00587 0.03716 0.307 0.02062 0.02321
96 0.00197 0.00602 0.03272 0.283 0.01813 0.01909
97 0.00184 0.00535 0.03381 0.307 0.01806 0.02024
98 0.00623 0.02228 0.03886 0.342 0.02135 0.02174
99 0.00655 0.02478 0.04689 0.422 0.02542 0.02630
100 0.00990 0.03476 0.06734 0.659 0.03611 0.03963
101 0.01522 0.06433 0.09178 0.891 0.05358 0.04791
102 0.00909 0.02716 0.06170 0.584 0.03223 0.03672
103 0.01628 0.05563 0.09419 0.930 0.05551 0.05005
104 0.00136 0.00315 0.01131 0.107 0.00522 0.00659
105 0.00100 0.00229 0.01030 0.094 0.00469 0.00582
106 0.00134 0.00349 0.01346 0.126 0.00660 0.00818
107 0.00092 0.00204 0.01064 0.097 0.00522 0.00632
108 0.00122 0.00346 0.01450 0.137 0.00633 0.00788
109 0.00096 0.00225 0.01024 0.093 0.00455 0.00576
110 0.00389 0.01351 0.03044 0.275 0.01771 0.01815
111 0.00337 0.01112 0.02286 0.207 0.01192 0.01439
112 0.00339 0.01105 0.01761 0.155 0.00952 0.01058
113 0.00485 0.01506 0.02378 0.210 0.01277 0.01483
114 0.00280 0.00964 0.01680 0.149 0.00861 0.01017
115 0.00246 0.00905 0.02105 0.209 0.01107 0.01284
116 0.00385 0.01211 0.01843 0.235 0.00796 0.00832
117 0.00207 0.00642 0.01458 0.148 0.00606 0.00747
118 0.00261 0.00731 0.01725 0.175 0.00757 0.00971
119 0.00194 0.00472 0.01279 0.129 0.00617 0.00744
120 0.00128 0.00381 0.01299 0.124 0.00679 0.00631
121 0.00314 0.00723 0.02008 0.221 0.00849 0.01117
122 0.00221 0.00628 0.01169 0.117 0.00534 0.00630
123 0.00398 0.01218 0.04479 0.441 0.02587 0.02567
124 0.00449 0.01517 0.02503 0.231 0.01372 0.01580
125 0.00395 0.01209 0.02343 0.224 0.01289 0.01420
126 0.00422 0.01242 0.02362 0.233 0.01235 0.01495
127 0.00327 0.00883 0.02791 0.246 0.01484 0.01805
128 0.00351 0.01104 0.02857 0.257 0.01547 0.01859
129 0.00192 0.00641 0.01033 0.098 0.00538 0.00570
130 0.00135 0.00349 0.01022 0.090 0.00476 0.00588
131 0.00238 0.00808 0.01412 0.125 0.00703 0.00820
132 0.00205 0.00671 0.01516 0.138 0.00721 0.00815
133 0.00170 0.00508 0.01201 0.106 0.00633 0.00701
134 0.00171 0.00504 0.01043 0.099 0.00490 0.00621
135 0.00319 0.00873 0.04932 0.441 0.02683 0.03112
136 0.00315 0.00731 0.04128 0.379 0.02229 0.02592
137 0.00283 0.00658 0.04879 0.431 0.02385 0.02973
138 0.00312 0.00772 0.05279 0.476 0.02896 0.03347
139 0.00290 0.00715 0.05643 0.517 0.03070 0.03530
140 0.00232 0.00542 0.03026 0.267 0.01514 0.01812
141 0.00269 0.00696 0.03273 0.281 0.01713 0.01964
142 0.00428 0.01285 0.06725 0.571 0.04016 0.04003
143 0.00215 0.00546 0.03527 0.297 0.02055 0.02076
144 0.00211 0.00568 0.01997 0.180 0.01117 0.01177
145 0.00133 0.00301 0.02662 0.228 0.01475 0.01558
146 0.00188 0.00506 0.02536 0.225 0.01379 0.01478
147 0.00946 0.02589 0.08143 0.821 0.03804 0.05426
148 0.00819 0.02546 0.06050 0.618 0.02865 0.04101
149 0.01027 0.02987 0.07118 0.722 0.03474 0.04580
150 0.00963 0.02756 0.07170 0.833 0.03515 0.04265
151 0.01154 0.03225 0.05830 0.784 0.02699 0.03714
152 0.01958 0.05401 0.11908 1.302 0.05647 0.07940
153 0.01699 0.04705 0.08684 1.018 0.04284 0.05556
154 0.00332 0.01164 0.02534 0.241 0.01340 0.01399
155 0.00300 0.01179 0.02682 0.236 0.01484 0.01405
156 0.00300 0.01067 0.03087 0.276 0.01659 0.01804
157 0.00339 0.01246 0.02293 0.223 0.01205 0.01289
158 0.00718 0.03351 0.04912 0.438 0.02610 0.02161
159 0.00454 0.01778 0.02852 0.266 0.01500 0.01581
160 0.00318 0.00962 0.03235 0.339 0.01360 0.01650
161 0.00316 0.00896 0.04009 0.406 0.01579 0.01994
162 0.00329 0.01057 0.03273 0.325 0.01644 0.01722
163 0.00340 0.01097 0.03658 0.369 0.01864 0.01940
164 0.00284 0.00873 0.01756 0.155 0.00967 0.01033
165 0.00461 0.01480 0.02814 0.272 0.01579 0.01553
166 0.00153 0.00462 0.02448 0.217 0.01410 0.01426
167 0.00159 0.00519 0.01242 0.116 0.00696 0.00747
168 0.00186 0.00616 0.02030 0.197 0.01186 0.01230
169 0.00448 0.01470 0.02177 0.189 0.01279 0.01272
170 0.00283 0.00949 0.02018 0.212 0.01176 0.01191
171 0.00237 0.00837 0.01897 0.181 0.01084 0.01121
172 0.00190 0.00499 0.01358 0.129 0.00664 0.00786
173 0.00200 0.00510 0.01484 0.133 0.00754 0.00950
174 0.00203 0.00514 0.01472 0.133 0.00748 0.00905
175 0.00218 0.00528 0.01657 0.145 0.00881 0.01062
176 0.00199 0.00480 0.01503 0.137 0.00812 0.00933
177 0.00213 0.00507 0.01725 0.155 0.00874 0.01021
178 0.00162 0.00406 0.01469 0.132 0.00728 0.00886
179 0.00186 0.00456 0.01574 0.142 0.00839 0.00956
180 0.00231 0.00612 0.01450 0.131 0.00725 0.00876
181 0.00233 0.00619 0.02551 0.237 0.01321 0.01574
182 0.00235 0.00605 0.01831 0.163 0.00950 0.01103
183 0.00198 0.00521 0.02145 0.198 0.01155 0.01341
184 0.00270 0.00558 0.01909 0.171 0.00864 0.01223
185 0.00346 0.00780 0.01795 0.163 0.00810 0.01144
186 0.00192 0.00403 0.01564 0.136 0.00667 0.00990
187 0.00263 0.00762 0.01660 0.154 0.00820 0.00972
188 0.00148 0.00345 0.01300 0.117 0.00631 0.00789
189 0.00184 0.00439 0.01185 0.106 0.00557 0.00721
190 0.00396 0.01235 0.02574 0.255 0.01454 0.01582
191 0.00259 0.00790 0.04087 0.405 0.02336 0.02498
192 0.00292 0.00994 0.02751 0.263 0.01604 0.01657
193 0.00564 0.01873 0.02308 0.256 0.01268 0.01365
194 0.00390 0.01109 0.02296 0.241 0.01265 0.01321
195 0.00317 0.00885 0.01884 0.190 0.01026 0.01161
MDVP:APQ Shimmer:DDA NHR HNR RPDE DFA spread1 spread2
1 0.02971 0.06545 0.02211 21.033 0.414783 0.815285 -4.813031 0.266482
2 0.04368 0.09403 0.01929 19.085 0.458359 0.819521 -4.075192 0.335590
3 0.03590 0.08270 0.01309 20.651 0.429895 0.825288 -4.443179 0.311173
4 0.03772 0.08771 0.01353 20.644 0.434969 0.819235 -4.117501 0.334147
5 0.04465 0.10470 0.01767 19.649 0.417356 0.823484 -3.747787 0.234513
6 0.03243 0.06985 0.01222 21.378 0.415564 0.825069 -4.242867 0.299111
7 0.01351 0.02337 0.00607 24.886 0.596040 0.764112 -5.634322 0.257682
8 0.01256 0.02487 0.00344 26.892 0.637420 0.763262 -6.167603 0.183721
9 0.01717 0.03218 0.01070 21.812 0.615551 0.773587 -5.498678 0.327769
10 0.02444 0.04324 0.01022 21.862 0.547037 0.798463 -5.011879 0.325996
11 0.01892 0.03237 0.01166 21.118 0.611137 0.776156 -5.249770 0.391002
12 0.02214 0.04272 0.01141 21.414 0.583390 0.792520 -4.960234 0.363566
13 0.01140 0.01968 0.00581 25.703 0.460600 0.646846 -6.547148 0.152813
14 0.01797 0.02184 0.01041 24.889 0.430166 0.665833 -5.660217 0.254989
15 0.01246 0.03191 0.00609 24.922 0.474791 0.654027 -6.105098 0.203653
16 0.01359 0.02316 0.00839 25.175 0.565924 0.658245 -5.340115 0.210185
17 0.02074 0.02908 0.01859 22.333 0.567380 0.644692 -5.440040 0.239764
18 0.03430 0.04322 0.02919 20.376 0.631099 0.605417 -2.931070 0.434326
19 0.05767 0.07413 0.03160 17.280 0.665318 0.719467 -3.949079 0.357870
20 0.04310 0.05164 0.03365 17.153 0.649554 0.686080 -4.554466 0.340176
21 0.04055 0.05000 0.03871 17.536 0.660125 0.704087 -4.095442 0.262564
22 0.04525 0.06062 0.01849 19.493 0.629017 0.698951 -5.186960 0.237622
23 0.04246 0.06685 0.01280 22.468 0.619060 0.679834 -4.330956 0.262384
24 0.03772 0.06562 0.01840 20.422 0.537264 0.686894 -5.248776 0.210279
25 0.01497 0.02214 0.01778 23.831 0.397937 0.732479 -5.557447 0.220890
26 0.03780 0.05197 0.02887 22.066 0.522746 0.737948 -5.571843 0.236853
27 0.01872 0.02666 0.01095 25.908 0.418622 0.720916 -6.183590 0.226278
28 0.01826 0.02650 0.01328 25.119 0.358773 0.726652 -6.271690 0.196102
29 0.01661 0.02307 0.00677 25.970 0.470478 0.676258 -7.120925 0.279789
30 0.01799 0.02380 0.01170 25.678 0.427785 0.723797 -6.635729 0.209866
31 0.00802 0.01689 0.00339 26.775 0.422229 0.741367 -7.348300 0.177551
32 0.00762 0.01513 0.00167 30.940 0.432439 0.742055 -7.682587 0.173319
33 0.00951 0.01919 0.00119 30.775 0.465946 0.738703 -7.067931 0.175181
34 0.00719 0.01407 0.00072 32.684 0.368535 0.742133 -7.695734 0.178540
35 0.00726 0.01403 0.00065 33.047 0.340068 0.741899 -7.964984 0.163519
36 0.00957 0.01758 0.00135 31.732 0.344252 0.742737 -7.777685 0.170183
37 0.01612 0.03463 0.00586 23.216 0.360148 0.778834 -6.149653 0.218037
38 0.01491 0.02814 0.00340 24.951 0.341435 0.783626 -6.006414 0.196371
39 0.01190 0.02177 0.00231 26.738 0.403884 0.766209 -6.452058 0.212294
40 0.01366 0.02488 0.00265 26.310 0.396793 0.758324 -6.006647 0.266892
41 0.01233 0.02321 0.00231 26.822 0.326480 0.765623 -6.647379 0.201095
42 0.01234 0.02226 0.00257 26.453 0.306443 0.759203 -7.044105 0.063412
43 0.01133 0.03104 0.00740 22.736 0.305062 0.654172 -7.310550 0.098648
44 0.01251 0.03017 0.00675 23.145 0.457702 0.634267 -6.793547 0.158266
45 0.01033 0.02330 0.00454 25.368 0.438296 0.635285 -7.057869 0.091608
46 0.01014 0.02542 0.00476 25.032 0.431285 0.638928 -6.995820 0.102083
47 0.01149 0.02719 0.00476 24.602 0.467489 0.631653 -7.156076 0.127642
48 0.00860 0.01841 0.00432 26.805 0.610367 0.635204 -7.319510 0.200873
49 0.01433 0.02566 0.00839 23.162 0.579597 0.733659 -6.439398 0.266392
50 0.01400 0.02789 0.00462 24.971 0.538688 0.754073 -6.482096 0.264967
51 0.01685 0.03724 0.00479 25.135 0.553134 0.775933 -6.650471 0.254498
52 0.01614 0.03429 0.00474 25.030 0.507504 0.760361 -6.689151 0.291954
53 0.01677 0.03969 0.00481 24.692 0.459766 0.766204 -7.072419 0.220434
54 0.01947 0.04188 0.00484 25.429 0.420383 0.785714 -6.836811 0.269866
55 0.02067 0.04450 0.01036 21.028 0.536009 0.819032 -4.649573 0.205558
56 0.02454 0.05368 0.01180 20.767 0.558586 0.811843 -4.333543 0.221727
57 0.02802 0.06097 0.00969 21.422 0.541781 0.821364 -4.438453 0.238298
58 0.01948 0.03568 0.00681 22.817 0.530529 0.817756 -4.608260 0.290024
59 0.02137 0.04183 0.00786 22.603 0.540049 0.813432 -4.476755 0.262633
60 0.02519 0.05414 0.01143 21.660 0.547975 0.817396 -4.609161 0.221711
61 0.01382 0.02925 0.00871 25.554 0.341788 0.678874 -7.040508 0.066994
62 0.01340 0.03039 0.00301 26.138 0.447979 0.686264 -7.293801 0.086372
63 0.01200 0.02602 0.00340 25.856 0.364867 0.694399 -6.966321 0.095882
64 0.01179 0.02647 0.00351 25.964 0.256570 0.683296 -7.245620 0.018689
65 0.01016 0.02308 0.00300 26.415 0.276850 0.673636 -7.496264 0.056844
66 0.01234 0.02827 0.00420 24.547 0.305429 0.681811 -7.314237 0.006274
67 0.02428 0.05490 0.02183 19.560 0.460139 0.720908 -5.409423 0.226850
68 0.02603 0.04914 0.02659 19.979 0.498133 0.729067 -5.324574 0.205660
69 0.03392 0.09455 0.04882 20.338 0.513237 0.731444 -5.869750 0.151814
70 0.03635 0.10070 0.02431 21.718 0.487407 0.727313 -6.261141 0.120956
71 0.02949 0.05605 0.02599 20.264 0.489345 0.730387 -5.720868 0.158830
72 0.03736 0.08247 0.03361 18.570 0.543299 0.733232 -5.207985 0.224852
73 0.01345 0.02921 0.00442 25.742 0.495954 0.762959 -5.791820 0.329066
74 0.01956 0.04120 0.00623 24.178 0.509127 0.789532 -5.389129 0.306636
75 0.01831 0.04295 0.00479 25.438 0.437031 0.815908 -5.313360 0.201861
76 0.01715 0.03851 0.00472 25.197 0.463514 0.807217 -5.477592 0.315074
77 0.02704 0.07238 0.00905 23.370 0.489538 0.789977 -5.775966 0.341169
78 0.01636 0.03852 0.00420 25.820 0.429484 0.816340 -5.391029 0.250572
79 0.02455 0.05408 0.01062 21.875 0.644954 0.779612 -5.115212 0.249494
80 0.02139 0.05320 0.02220 19.200 0.594387 0.790117 -4.913885 0.265699
81 0.02876 0.06799 0.01823 19.055 0.544805 0.770466 -4.441519 0.155097
82 0.02190 0.05377 0.01825 19.659 0.576084 0.778747 -5.132032 0.210458
83 0.01751 0.04114 0.01237 20.536 0.554610 0.787896 -5.022288 0.146948
84 0.01552 0.03831 0.00882 22.244 0.576644 0.772416 -6.025367 0.078202
85 0.03510 0.08037 0.05470 13.893 0.556494 0.729586 -5.288912 0.343073
86 0.02877 0.06321 0.02782 16.176 0.583574 0.727747 -5.657899 0.315903
87 0.02784 0.06219 0.03151 15.924 0.598714 0.712199 -6.366916 0.335753
88 0.04683 0.11012 0.04824 13.922 0.602874 0.740837 -5.515071 0.299549
89 0.04802 0.11363 0.04214 14.739 0.599371 0.743937 -5.783272 0.299793
90 0.03455 0.06892 0.07223 11.866 0.590951 0.745526 -4.379411 0.375531
91 0.05114 0.10949 0.08725 11.744 0.653410 0.733165 -4.508984 0.389232
92 0.05690 0.13262 0.01658 19.664 0.501037 0.714360 -6.411497 0.207156
93 0.03051 0.07150 0.01914 18.780 0.454444 0.734504 -5.952058 0.087840
94 0.04398 0.10024 0.01211 20.969 0.447456 0.697790 -6.152551 0.173520
95 0.02764 0.06185 0.00850 22.219 0.502380 0.712170 -6.251425 0.188056
96 0.02571 0.05439 0.01018 21.693 0.447285 0.705658 -6.247076 0.180528
97 0.02809 0.05417 0.00852 22.663 0.366329 0.693429 -6.417440 0.194627
98 0.03088 0.06406 0.08151 15.338 0.629574 0.714485 -4.020042 0.265315
99 0.03908 0.07625 0.10323 15.433 0.571010 0.690892 -5.159169 0.202146
100 0.05783 0.10833 0.16744 12.435 0.638545 0.674953 -3.760348 0.242861
101 0.06196 0.16074 0.31482 8.867 0.671299 0.656846 -3.700544 0.260481
102 0.05174 0.09669 0.11843 15.060 0.639808 0.643327 -4.202730 0.310163
103 0.06023 0.16654 0.25930 10.489 0.596362 0.641418 -3.269487 0.270641
104 0.01009 0.01567 0.00495 26.759 0.296888 0.722356 -6.878393 0.089267
105 0.00871 0.01406 0.00243 28.409 0.263654 0.691483 -7.111576 0.144780
106 0.01059 0.01979 0.00578 27.421 0.365488 0.719974 -6.997403 0.210279
107 0.00928 0.01567 0.00233 29.746 0.334171 0.677930 -6.981201 0.184550
108 0.01267 0.01898 0.00659 26.833 0.393563 0.700246 -6.600023 0.249172
109 0.00993 0.01364 0.00238 29.928 0.311369 0.676066 -6.739151 0.160686
110 0.02084 0.05312 0.00947 21.934 0.497554 0.740539 -5.845099 0.278679
111 0.01852 0.03576 0.00704 23.239 0.436084 0.727863 -5.258320 0.256454
112 0.01307 0.02855 0.00830 22.407 0.338097 0.712466 -6.471427 0.184378
113 0.01767 0.03831 0.01316 21.305 0.498877 0.722085 -4.876336 0.212054
114 0.01301 0.02583 0.00620 23.671 0.441097 0.722254 -5.963040 0.250283
115 0.01604 0.03320 0.01048 21.864 0.331508 0.715121 -6.729713 0.181701
116 0.01271 0.02389 0.06051 23.693 0.407701 0.662668 -4.673241 0.261549
117 0.01312 0.01818 0.01554 26.356 0.450798 0.653823 -6.051233 0.273280
118 0.01652 0.02270 0.01802 25.690 0.486738 0.676023 -4.597834 0.372114
119 0.01151 0.01851 0.00856 25.020 0.470422 0.655239 -4.913137 0.393056
120 0.01075 0.02038 0.00681 24.581 0.462516 0.582710 -5.517173 0.389295
121 0.01734 0.02548 0.02350 24.743 0.487756 0.684130 -6.186128 0.279933
122 0.01104 0.01603 0.01161 27.166 0.400088 0.656182 -4.711007 0.281618
123 0.03220 0.07761 0.01968 18.305 0.538016 0.741480 -5.418787 0.160267
124 0.01931 0.04115 0.01813 18.784 0.589956 0.732903 -5.445140 0.142466
125 0.01720 0.03867 0.02020 19.196 0.618663 0.728421 -5.944191 0.143359
126 0.01944 0.03706 0.01874 18.857 0.637518 0.735546 -5.594275 0.127950
127 0.02259 0.04451 0.01794 18.178 0.623209 0.738245 -5.540351 0.087165
128 0.02301 0.04641 0.01796 18.330 0.585169 0.736964 -5.825257 0.115697
129 0.00811 0.01614 0.01724 26.842 0.457541 0.699787 -6.890021 0.152941
130 0.00903 0.01428 0.00487 26.369 0.491345 0.718839 -5.892061 0.195976
131 0.01194 0.02110 0.01610 23.949 0.467160 0.724045 -6.135296 0.203630
132 0.01310 0.02164 0.01015 26.017 0.468621 0.735136 -6.112667 0.217013
133 0.00915 0.01898 0.00903 23.389 0.470972 0.721308 -5.436135 0.254909
134 0.00903 0.01471 0.00504 25.619 0.482296 0.723096 -6.448134 0.178713
135 0.03651 0.08050 0.03031 17.060 0.637814 0.744064 -5.301321 0.320385
136 0.03316 0.06688 0.02529 17.707 0.653427 0.706687 -5.333619 0.322044
137 0.04370 0.07154 0.02278 19.013 0.647900 0.708144 -4.378916 0.300067
138 0.04134 0.08689 0.03690 16.747 0.625362 0.708617 -4.654894 0.304107
139 0.04451 0.09211 0.02629 17.366 0.640945 0.701404 -5.634576 0.306014
140 0.02770 0.04543 0.01827 18.801 0.624811 0.696049 -5.866357 0.233070
141 0.02824 0.05139 0.02485 18.540 0.677131 0.685057 -4.796845 0.397749
142 0.04464 0.12047 0.04238 15.648 0.606344 0.665945 -5.410336 0.288917
143 0.02530 0.06165 0.01728 18.702 0.606273 0.661735 -5.585259 0.310746
144 0.01506 0.03350 0.02010 18.687 0.536102 0.632631 -5.898673 0.213353
145 0.02006 0.04426 0.01049 20.680 0.497480 0.630409 -6.132663 0.220617
146 0.01909 0.04137 0.01493 20.366 0.566849 0.574282 -5.456811 0.345238
147 0.08808 0.11411 0.07530 12.359 0.561610 0.793509 -3.297668 0.414758
148 0.06359 0.08595 0.06057 14.367 0.478024 0.768974 -4.276605 0.355736
149 0.06824 0.10422 0.08069 12.298 0.552870 0.764036 -3.377325 0.335357
150 0.06460 0.10546 0.07889 14.989 0.427627 0.775708 -4.892495 0.262281
151 0.06259 0.08096 0.10952 12.529 0.507826 0.762726 -4.484303 0.340256
152 0.13778 0.16942 0.21713 8.441 0.625866 0.768320 -2.434031 0.450493
153 0.08318 0.12851 0.16265 9.449 0.584164 0.754449 -2.839756 0.356224
154 0.02056 0.04019 0.04179 21.520 0.566867 0.670475 -4.865194 0.246404
155 0.02018 0.04451 0.04611 21.824 0.651680 0.659333 -4.239028 0.175691
156 0.02402 0.04977 0.02631 22.431 0.628300 0.652025 -3.583722 0.207914
157 0.01771 0.03615 0.03191 22.953 0.611679 0.623731 -5.435100 0.230532
158 0.02916 0.07830 0.10748 19.075 0.630547 0.646786 -3.444478 0.303214
159 0.02157 0.04499 0.03828 21.534 0.635015 0.627337 -5.070096 0.280091
160 0.03105 0.04079 0.02663 19.651 0.654945 0.675865 -5.498456 0.234196
161 0.04114 0.04736 0.02073 20.437 0.653139 0.694571 -5.185987 0.259229
162 0.02931 0.04933 0.02810 19.388 0.577802 0.684373 -5.283009 0.226528
163 0.03091 0.05592 0.02707 18.954 0.685151 0.719576 -5.529833 0.242750
164 0.01363 0.02902 0.01435 21.219 0.557045 0.673086 -5.617124 0.184896
165 0.02073 0.04736 0.03882 18.447 0.671378 0.674562 -2.929379 0.396746
166 0.01621 0.04231 0.00620 24.078 0.469928 0.628232 -6.816086 0.172270
167 0.00882 0.02089 0.00533 24.679 0.384868 0.626710 -7.018057 0.176316
168 0.01367 0.03557 0.00910 21.083 0.440988 0.628058 -7.517934 0.160414
169 0.01439 0.03836 0.01337 19.269 0.372222 0.725216 -5.736781 0.164529
170 0.01344 0.03529 0.00965 21.020 0.371837 0.646167 -7.169701 0.073298
171 0.01255 0.03253 0.01049 21.528 0.522812 0.646818 -7.304500 0.171088
172 0.01140 0.01992 0.00435 26.436 0.413295 0.756700 -6.323531 0.218885
173 0.01285 0.02261 0.00430 26.550 0.369090 0.776158 -6.085567 0.192375
174 0.01148 0.02245 0.00478 26.547 0.380253 0.766700 -5.943501 0.192150
175 0.01318 0.02643 0.00590 25.445 0.387482 0.756482 -6.012559 0.229298
176 0.01133 0.02436 0.00401 26.005 0.405991 0.761255 -5.966779 0.197938
177 0.01331 0.02623 0.00415 26.143 0.361232 0.763242 -6.016891 0.109256
178 0.01230 0.02184 0.00570 24.151 0.396610 0.745957 -6.486822 0.197919
179 0.01309 0.02518 0.00488 24.412 0.402591 0.762508 -6.311987 0.182459
180 0.01263 0.02175 0.00540 23.683 0.398499 0.778349 -5.711205 0.240875
181 0.02148 0.03964 0.00611 23.133 0.352396 0.759320 -6.261446 0.183218
182 0.01559 0.02849 0.00639 22.866 0.408598 0.768845 -5.704053 0.216204
183 0.01666 0.03464 0.00595 23.008 0.329577 0.757180 -6.277170 0.109397
184 0.01949 0.02592 0.00955 23.079 0.603515 0.669565 -5.619070 0.191576
185 0.01756 0.02429 0.01179 22.085 0.663842 0.656516 -5.198864 0.206768
186 0.01691 0.02001 0.00737 24.199 0.598515 0.654331 -5.592584 0.133917
187 0.01491 0.02460 0.01397 23.958 0.566424 0.667654 -6.431119 0.153310
188 0.01144 0.01892 0.00680 25.023 0.528485 0.663884 -6.359018 0.116636
189 0.01095 0.01672 0.00703 24.775 0.555303 0.659132 -6.710219 0.149694
190 0.01758 0.04363 0.04441 19.368 0.508479 0.683761 -6.934474 0.159890
191 0.02745 0.07008 0.02764 19.517 0.448439 0.657899 -6.538586 0.121952
192 0.01879 0.04812 0.01810 19.147 0.431674 0.683244 -6.195325 0.129303
193 0.01667 0.03804 0.10715 17.883 0.407567 0.655683 -6.787197 0.158453
194 0.01588 0.03794 0.07223 19.020 0.451221 0.643956 -6.744577 0.207454
195 0.01373 0.03078 0.04398 21.209 0.462803 0.664357 -5.724056 0.190667
D2 PPE
1 2.301442 0.284654
2 2.486855 0.368674
3 2.342259 0.332634
4 2.405554 0.368975
5 2.332180 0.410335
6 2.187560 0.357775
7 1.854785 0.211756
8 2.064693 0.163755
9 2.322511 0.231571
10 2.432792 0.271362
11 2.407313 0.249740
12 2.642476 0.275931
13 2.041277 0.138512
14 2.519422 0.199889
15 2.125618 0.170100
16 2.205546 0.234589
17 2.264501 0.218164
18 3.007463 0.430788
19 3.109010 0.377429
20 2.856676 0.322111
21 2.739710 0.365391
22 2.557536 0.259765
23 2.916777 0.285695
24 2.547508 0.253556
25 2.692176 0.215961
26 2.846369 0.219514
27 2.589702 0.147403
28 2.314209 0.162999
29 2.241742 0.108514
30 1.957961 0.135242
31 1.743867 0.085569
32 2.103106 0.068501
33 1.512275 0.096320
34 1.544609 0.056141
35 1.423287 0.044539
36 2.447064 0.057610
37 2.477082 0.165827
38 2.536527 0.173218
39 2.269398 0.141929
40 2.382544 0.160691
41 2.374073 0.130554
42 2.361532 0.115730
43 2.416838 0.095032
44 2.256699 0.117399
45 2.330716 0.091470
46 2.365800 0.102706
47 2.392122 0.097336
48 2.028612 0.086398
49 2.079922 0.133867
50 2.054419 0.128872
51 1.840198 0.103561
52 2.431854 0.105993
53 1.972297 0.119308
54 2.223719 0.147491
55 1.986899 0.316700
56 2.014606 0.344834
57 1.922940 0.335041
58 2.021591 0.314464
59 1.827012 0.326197
60 1.831691 0.316395
61 2.460791 0.101516
62 2.321560 0.098555
63 2.278687 0.103224
64 2.498224 0.093534
65 2.003032 0.073581
66 2.118596 0.091546
67 2.359973 0.226156
68 2.291558 0.226247
69 2.118496 0.185580
70 2.137075 0.141958
71 2.277927 0.180828
72 2.642276 0.242981
73 2.205024 0.188180
74 1.928708 0.225461
75 2.225815 0.244512
76 1.862092 0.228624
77 2.007923 0.193918
78 1.777901 0.232744
79 2.017753 0.260015
80 2.398422 0.277948
81 2.645959 0.327978
82 2.232576 0.260633
83 2.428306 0.264666
84 2.053601 0.177275
85 3.099301 0.242119
86 3.098256 0.200423
87 2.654271 0.144614
88 3.136550 0.220968
89 3.007096 0.194052
90 3.671155 0.332086
91 3.317586 0.301952
92 2.344876 0.134120
93 2.344336 0.186489
94 2.080121 0.160809
95 2.143851 0.160812
96 2.344348 0.164916
97 2.473239 0.151709
98 2.671825 0.340623
99 2.441612 0.260375
100 2.634633 0.378483
101 2.991063 0.370961
102 2.638279 0.356881
103 2.690917 0.444774
104 2.004055 0.113942
105 2.065477 0.093193
106 1.994387 0.112878
107 2.129924 0.106802
108 2.499148 0.105306
109 2.296873 0.115130
110 2.608749 0.185668
111 2.550961 0.232520
112 2.502336 0.136390
113 2.376749 0.268144
114 2.489191 0.177807
115 2.938114 0.115515
116 2.702355 0.274407
117 2.640798 0.170106
118 2.975889 0.282780
119 2.816781 0.251972
120 2.925862 0.220657
121 2.686240 0.152428
122 2.655744 0.234809
123 2.090438 0.229892
124 2.174306 0.215558
125 1.929715 0.181988
126 1.765957 0.222716
127 1.821297 0.214075
128 1.996146 0.196535
129 2.328513 0.112856
130 2.108873 0.183572
131 2.539724 0.169923
132 2.527742 0.170633
133 2.516320 0.232209
134 2.034827 0.141422
135 2.375138 0.243080
136 2.631793 0.228319
137 2.445502 0.259451
138 2.672362 0.274387
139 2.419253 0.209191
140 2.445646 0.184985
141 2.963799 0.277227
142 2.665133 0.231723
143 2.465528 0.209863
144 2.470746 0.189032
145 2.576563 0.159777
146 2.840556 0.232861
147 3.413649 0.457533
148 3.142364 0.336085
149 3.274865 0.418646
150 2.910213 0.270173
151 2.958815 0.301487
152 3.079221 0.527367
153 3.184027 0.454721
154 2.013530 0.168581
155 2.451130 0.247455
156 2.439597 0.206256
157 2.699645 0.220546
158 2.964568 0.261305
159 2.892300 0.249703
160 2.103014 0.216638
161 2.151121 0.244948
162 2.442906 0.238281
163 2.408689 0.220520
164 1.871871 0.212386
165 2.560422 0.367233
166 2.235197 0.119652
167 1.852402 0.091604
168 1.881767 0.075587
169 2.882450 0.202879
170 2.266432 0.100881
171 2.095237 0.096220
172 2.193412 0.160376
173 1.889002 0.174152
174 1.852542 0.179677
175 1.872946 0.163118
176 1.974857 0.184067
177 2.004719 0.174429
178 2.449763 0.132703
179 2.251553 0.160306
180 2.845109 0.192730
181 2.264226 0.144105
182 2.679185 0.197710
183 2.209021 0.156368
184 2.027228 0.215724
185 2.120412 0.252404
186 2.058658 0.214346
187 2.161936 0.120605
188 2.152083 0.138868
189 1.913990 0.121777
190 2.316346 0.112838
191 2.657476 0.133050
192 2.784312 0.168895
193 2.679772 0.131728
194 2.138608 0.123306
195 2.555477 0.148569
> k <- length(x[1,])
> df <- as.data.frame(x)
> (mylm <- lm(df))
Call:
lm(formula = df)
Coefficients:
(Intercept) `MDVP:Fo(Hz)` `MDVP:Fhi(Hz)` `MDVP:Flo(Hz)`
2.221e+00 -1.665e-03 -9.241e-05 -1.652e-03
`MDVP:Jitter(%)` `MDVP:RAP` `MDVP:PPQ` `Jitter:DDP`
-1.987e+02 -1.003e+03 -2.569e+01 4.385e+02
`MDVP:Shimmer` `MDVP:Shimmer(dB)` `Shimmer:APQ3` `Shimmer:APQ5`
2.243e+01 6.093e-01 -2.279e+02 -2.785e+01
`MDVP:APQ` `Shimmer:DDA` NHR HNR
1.057e+00 7.073e+01 -2.565e+00 -1.760e-02
RPDE DFA spread1 spread2
-1.063e+00 4.411e-01 1.392e-01 1.263e+00
D2 PPE
5.822e-02 9.624e-01
> (mysum <- summary(mylm))
Call:
lm(formula = df)
Residuals:
Min 1Q Median 3Q Max
-0.92998 -0.15169 0.05049 0.21335 0.58752
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 2.221e+00 1.157e+00 1.920 0.05651 .
`MDVP:Fo(Hz)` -1.665e-03 1.129e-03 -1.475 0.14193
`MDVP:Fhi(Hz)` -9.241e-05 3.190e-04 -0.290 0.77242
`MDVP:Flo(Hz)` -1.652e-03 7.845e-04 -2.106 0.03667 *
`MDVP:Jitter(%)` -1.987e+02 5.965e+01 -3.332 0.00105 **
`MDVP:RAP` -1.003e+03 9.313e+03 -0.108 0.91439
`MDVP:PPQ` -2.569e+01 8.706e+01 -0.295 0.76831
`Jitter:DDP` 4.385e+02 3.105e+03 0.141 0.88786
`MDVP:Shimmer` 2.243e+01 3.351e+01 0.669 0.50431
`MDVP:Shimmer(dB)` 6.093e-01 1.196e+00 0.509 0.61121
`Shimmer:APQ3` -2.279e+02 8.915e+03 -0.026 0.97963
`Shimmer:APQ5` -2.785e+01 1.999e+01 -1.393 0.16543
`MDVP:APQ` 1.057e+00 9.234e+00 0.114 0.90902
`Shimmer:DDA` 7.073e+01 2.971e+03 0.024 0.98103
NHR -2.565e+00 1.977e+00 -1.298 0.19616
HNR -1.760e-02 1.407e-02 -1.251 0.21279
RPDE -1.063e+00 4.338e-01 -2.449 0.01531 *
DFA 4.411e-01 7.286e-01 0.605 0.54571
spread1 1.392e-01 9.634e-02 1.445 0.15019
spread2 1.263e+00 4.773e-01 2.646 0.00890 **
D2 5.822e-02 1.135e-01 0.513 0.60866
PPE 9.624e-01 1.316e+00 0.731 0.46573
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Residual standard error: 0.3262 on 173 degrees of freedom
Multiple R-squared: 0.4912, Adjusted R-squared: 0.4295
F-statistic: 7.954 on 21 and 173 DF, p-value: < 2.2e-16
> if (n > n25) {
+ kp3 <- k + 3
+ nmkm3 <- n - k - 3
+ gqarr <- array(NA, dim=c(nmkm3-kp3+1,3))
+ numgqtests <- 0
+ numsignificant1 <- 0
+ numsignificant5 <- 0
+ numsignificant10 <- 0
+ for (mypoint in kp3:nmkm3) {
+ j <- 0
+ numgqtests <- numgqtests + 1
+ for (myalt in c('greater', 'two.sided', 'less')) {
+ j <- j + 1
+ gqarr[mypoint-kp3+1,j] <- gqtest(mylm, point=mypoint, alternative=myalt)$p.value
+ }
+ if (gqarr[mypoint-kp3+1,2] < 0.01) numsignificant1 <- numsignificant1 + 1
+ if (gqarr[mypoint-kp3+1,2] < 0.05) numsignificant5 <- numsignificant5 + 1
+ if (gqarr[mypoint-kp3+1,2] < 0.10) numsignificant10 <- numsignificant10 + 1
+ }
+ gqarr
+ }
[,1] [,2] [,3]
[1,] 6.341871e-48 1.268374e-47 1.000000000
[2,] 1.961526e-69 3.923052e-69 1.000000000
[3,] 2.970468e-79 5.940935e-79 1.000000000
[4,] 3.212548e-93 6.425097e-93 1.000000000
[5,] 7.140240e-110 1.428048e-109 1.000000000
[6,] 9.143762e-126 1.828752e-125 1.000000000
[7,] 1.161235e-04 2.322470e-04 0.999883877
[8,] 3.042862e-05 6.085723e-05 0.999969571
[9,] 7.546276e-06 1.509255e-05 0.999992454
[10,] 1.995624e-06 3.991248e-06 0.999998004
[11,] 5.706185e-07 1.141237e-06 0.999999429
[12,] 1.539297e-07 3.078594e-07 0.999999846
[13,] 1.743227e-04 3.486455e-04 0.999825677
[14,] 9.815048e-05 1.963010e-04 0.999901850
[15,] 4.415105e-04 8.830209e-04 0.999558490
[16,] 5.775835e-04 1.155167e-03 0.999422417
[17,] 6.389249e-04 1.277850e-03 0.999361075
[18,] 3.687384e-04 7.374768e-04 0.999631262
[19,] 3.272073e-04 6.544146e-04 0.999672793
[20,] 1.686790e-04 3.373580e-04 0.999831321
[21,] 8.784190e-05 1.756838e-04 0.999912158
[22,] 4.082907e-05 8.165813e-05 0.999959171
[23,] 2.196980e-05 4.393959e-05 0.999978030
[24,] 2.401842e-05 4.803683e-05 0.999975982
[25,] 1.151814e-04 2.303629e-04 0.999884819
[26,] 8.956868e-05 1.791374e-04 0.999910431
[27,] 6.092979e-05 1.218596e-04 0.999939070
[28,] 4.126566e-05 8.253132e-05 0.999958734
[29,] 2.848166e-05 5.696331e-05 0.999971518
[30,] 3.144564e-05 6.289129e-05 0.999968554
[31,] 3.246723e-05 6.493447e-05 0.999967533
[32,] 3.962679e-05 7.925359e-05 0.999960373
[33,] 2.212697e-05 4.425395e-05 0.999977873
[34,] 1.532533e-05 3.065067e-05 0.999984675
[35,] 8.453578e-06 1.690716e-05 0.999991546
[36,] 4.521776e-06 9.043551e-06 0.999995478
[37,] 2.418940e-04 4.837880e-04 0.999758106
[38,] 3.437164e-04 6.874328e-04 0.999656284
[39,] 5.650947e-04 1.130189e-03 0.999434905
[40,] 6.551301e-04 1.310260e-03 0.999344870
[41,] 5.699421e-04 1.139884e-03 0.999430058
[42,] 8.225593e-04 1.645119e-03 0.999177441
[43,] 6.214861e-04 1.242972e-03 0.999378514
[44,] 3.967896e-04 7.935791e-04 0.999603210
[45,] 5.286269e-04 1.057254e-03 0.999471373
[46,] 3.474527e-04 6.949055e-04 0.999652547
[47,] 2.148201e-04 4.296402e-04 0.999785180
[48,] 1.472262e-04 2.944523e-04 0.999852774
[49,] 9.003053e-05 1.800611e-04 0.999909969
[50,] 1.591958e-04 3.183917e-04 0.999840804
[51,] 1.708451e-04 3.416901e-04 0.999829155
[52,] 1.396571e-04 2.793142e-04 0.999860343
[53,] 9.215942e-05 1.843188e-04 0.999907841
[54,] 7.073218e-05 1.414644e-04 0.999929268
[55,] 4.308856e-05 8.617712e-05 0.999956911
[56,] 3.372388e-05 6.744775e-05 0.999966276
[57,] 2.616679e-05 5.233357e-05 0.999973833
[58,] 1.567844e-05 3.135687e-05 0.999984322
[59,] 1.016738e-05 2.033476e-05 0.999989833
[60,] 6.953120e-06 1.390624e-05 0.999993047
[61,] 4.875001e-06 9.750001e-06 0.999995125
[62,] 6.869769e-06 1.373954e-05 0.999993130
[63,] 8.519777e-06 1.703955e-05 0.999991480
[64,] 5.350244e-06 1.070049e-05 0.999994650
[65,] 3.872557e-06 7.745113e-06 0.999996127
[66,] 4.309715e-06 8.619430e-06 0.999995690
[67,] 4.425814e-06 8.851628e-06 0.999995574
[68,] 6.116707e-06 1.223341e-05 0.999993883
[69,] 4.171298e-06 8.342597e-06 0.999995829
[70,] 2.692375e-06 5.384750e-06 0.999997308
[71,] 1.871011e-06 3.742022e-06 0.999998129
[72,] 1.326822e-06 2.653644e-06 0.999998673
[73,] 8.624638e-07 1.724928e-06 0.999999138
[74,] 4.820468e-07 9.640937e-07 0.999999518
[75,] 2.813792e-07 5.627584e-07 0.999999719
[76,] 1.719757e-07 3.439514e-07 0.999999828
[77,] 1.294350e-07 2.588700e-07 0.999999871
[78,] 1.085788e-07 2.171577e-07 0.999999891
[79,] 8.971302e-08 1.794260e-07 0.999999910
[80,] 1.213137e-07 2.426275e-07 0.999999879
[81,] 2.163478e-07 4.326956e-07 0.999999784
[82,] 3.800220e-07 7.600439e-07 0.999999620
[83,] 1.029338e-06 2.058677e-06 0.999998971
[84,] 7.404387e-07 1.480877e-06 0.999999260
[85,] 1.880733e-06 3.761465e-06 0.999998119
[86,] 2.050922e-06 4.101844e-06 0.999997949
[87,] 1.229716e-06 2.459432e-06 0.999998770
[88,] 2.926870e-06 5.853741e-06 0.999997073
[89,] 2.660193e-06 5.320387e-06 0.999997340
[90,] 2.837667e-06 5.675335e-06 0.999997162
[91,] 2.942926e-06 5.885853e-06 0.999997057
[92,] 1.991190e-06 3.982381e-06 0.999998009
[93,] 2.951102e-06 5.902203e-06 0.999997049
[94,] 1.752603e-06 3.505205e-06 0.999998247
[95,] 1.131575e-06 2.263150e-06 0.999998868
[96,] 1.927235e-06 3.854471e-06 0.999998073
[97,] 5.892341e-06 1.178468e-05 0.999994108
[98,] 1.453138e-05 2.906277e-05 0.999985469
[99,] 8.917959e-06 1.783592e-05 0.999991082
[100,] 6.453436e-06 1.290687e-05 0.999993547
[101,] 5.980854e-06 1.196171e-05 0.999994019
[102,] 6.786170e-06 1.357234e-05 0.999993214
[103,] 1.277406e-05 2.554812e-05 0.999987226
[104,] 1.618225e-04 3.236451e-04 0.999838177
[105,] 3.507026e-04 7.014053e-04 0.999649297
[106,] 6.863755e-04 1.372751e-03 0.999313625
[107,] 7.275759e-04 1.455152e-03 0.999272424
[108,] 5.401505e-04 1.080301e-03 0.999459849
[109,] 5.478540e-04 1.095708e-03 0.999452146
[110,] 2.532106e-03 5.064212e-03 0.997467894
[111,] 2.230202e-03 4.460404e-03 0.997769798
[112,] 2.178641e-03 4.357282e-03 0.997821359
[113,] 2.580898e-03 5.161796e-03 0.997419102
[114,] 2.355566e-03 4.711131e-03 0.997644434
[115,] 1.626404e-03 3.252809e-03 0.998373596
[116,] 1.832619e-03 3.665237e-03 0.998167381
[117,] 1.373854e-03 2.747708e-03 0.998626146
[118,] 1.926188e-03 3.852376e-03 0.998073812
[119,] 1.479895e-03 2.959790e-03 0.998520105
[120,] 6.189758e-03 1.237952e-02 0.993810242
[121,] 5.300955e-03 1.060191e-02 0.994699045
[122,] 4.444857e-03 8.889714e-03 0.995555143
[123,] 3.292168e-03 6.584337e-03 0.996707832
[124,] 2.126620e-03 4.253240e-03 0.997873380
[125,] 1.661621e-03 3.323241e-03 0.998338379
[126,] 1.221489e-03 2.442979e-03 0.998778511
[127,] 1.658088e-03 3.316177e-03 0.998341912
[128,] 1.200011e-02 2.400022e-02 0.987999891
[129,] 4.943424e-02 9.886848e-02 0.950565759
[130,] 5.247534e-02 1.049507e-01 0.947524663
[131,] 4.550258e-02 9.100515e-02 0.954497425
[132,] 3.414881e-02 6.829762e-02 0.965851192
[133,] 1.262462e-01 2.524924e-01 0.873753799
[134,] 1.158741e-01 2.317483e-01 0.884125857
[135,] 3.765755e-01 7.531510e-01 0.623424517
[136,] 3.110000e-01 6.220000e-01 0.688999992
[137,] 2.473062e-01 4.946123e-01 0.752693833
[138,] 1.912574e-01 3.825149e-01 0.808742554
[139,] 1.977154e-01 3.954307e-01 0.802284645
[140,] 2.092756e-01 4.185513e-01 0.790724370
[141,] 5.427078e-01 9.145844e-01 0.457292198
[142,] 6.289271e-01 7.421457e-01 0.371072863
[143,] 9.240990e-01 1.518020e-01 0.075900997
[144,] 9.762534e-01 4.749313e-02 0.023746564
[145,] 9.907153e-01 1.856937e-02 0.009284684
[146,] 9.639419e-01 7.211624e-02 0.036058119
> postscript(file="/var/wessaorg/rcomp/tmp/12cau1386786877.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$resid)
> grid()
> dev.off()
null device
1
> postscript(file="/var/wessaorg/rcomp/tmp/2dekj1386786877.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> plot(mysum$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/3damu1386786877.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> hist(mysum$resid, main='Residual Histogram', xlab='values of Residuals')
> grid()
> dev.off()
null device
1
> postscript(file="/var/wessaorg/rcomp/tmp/49r4g1386786877.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> densityplot(~mysum$resid,col='black',main='Residual Density Plot', xlab='values of Residuals')
> dev.off()
null device
1
> postscript(file="/var/wessaorg/rcomp/tmp/57umf1386786877.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> qqnorm(mysum$resid, main='Residual Normal Q-Q Plot')
> qqline(mysum$resid)
> grid()
> dev.off()
null device
1
> (myerror <- as.ts(mysum$resid))
Time Series:
Start = 1
End = 195
Frequency = 1
1 2 3 4 5
4.112083e-02 -6.217526e-02 1.225718e-02 -9.202527e-02 1.132879e-01
6 7 8 9 10
5.890125e-02 2.262824e-01 4.365631e-01 9.472391e-05 -1.807814e-01
11 12 13 14 15
-1.475335e-01 -2.619085e-01 5.646878e-01 1.097173e-01 3.083305e-01
16 17 18 19 20
3.074029e-01 4.483044e-01 -2.934918e-01 -3.071358e-01 3.888592e-02
21 22 23 24 25
-4.417910e-02 8.930493e-02 -1.245019e-01 1.258460e-01 1.699335e-01
26 27 28 29 30
3.794816e-02 1.753366e-01 2.135523e-01 3.401800e-01 3.056647e-01
31 32 33 34 35
-2.776160e-01 -1.467711e-01 -1.830470e-01 -1.277735e-01 -9.245323e-02
36 37 38 39 40
-2.128837e-01 2.024709e-01 1.793894e-01 3.901566e-01 2.376647e-01
41 42 43 44 45
3.659649e-01 5.670951e-01 -2.612456e-01 -2.169076e-01 -4.301494e-02
46 47 48 49 50
-1.077512e-01 -7.220099e-02 2.015985e-02 -3.322249e-01 -4.167296e-01
51 52 53 54 55
-3.947876e-01 -4.514418e-01 -3.931701e-01 -5.533514e-01 1.577452e-01
56 57 58 59 60
1.883520e-01 1.255975e-01 2.437077e-01 2.056313e-01 3.070260e-01
61 62 63 64 65
-3.763745e-01 -2.824950e-01 -2.677312e-01 -2.179111e-01 -1.458044e-01
66 67 68 69 70
-3.093367e-01 7.451482e-02 9.503389e-02 9.034056e-02 6.378808e-02
71 72 73 74 75
1.302036e-01 -9.436780e-02 1.319278e-01 5.612582e-02 -2.598911e-02
76 77 78 79 80
-8.900304e-02 -8.111833e-02 1.179094e-02 3.779168e-02 -1.810538e-01
81 82 83 84 85
-1.899613e-01 -1.401054e-01 -2.078642e-02 3.183339e-01 -6.973506e-02
86 87 88 89 90
1.412197e-01 2.879814e-01 6.141133e-02 -4.345159e-03 -2.107623e-01
91 92 93 94 95
-1.248275e-01 2.131489e-01 2.826093e-01 1.355410e-01 2.308921e-01
96 97 98 99 100
2.643604e-01 1.993111e-01 -2.260489e-02 1.735925e-01 7.328435e-02
101 102 103 104 105
1.227535e-02 7.169399e-03 2.181749e-02 4.018332e-01 4.278509e-01
106 107 108 109 110
4.363158e-01 4.828924e-01 3.008967e-01 3.941996e-01 1.179412e-01
111 112 113 114 115
-1.868224e-02 4.105379e-01 2.473711e-01 2.988617e-01 1.915381e-01
116 117 118 119 120
1.301660e-01 2.783967e-01 -3.215531e-02 1.057278e-01 2.377126e-01
121 122 123 124 125
4.225495e-01 2.155930e-02 3.683878e-02 2.995254e-01 4.114048e-01
126 127 128 129 130
3.924738e-01 3.906513e-01 3.773140e-01 5.875245e-01 2.692519e-01
131 132 133 134 135
2.077493e-01 1.538742e-01 -3.573079e-02 3.661274e-01 2.527761e-02
136 137 138 139 140
5.419457e-02 -1.543416e-01 -1.306768e-01 5.048952e-02 2.286626e-01
141 142 143 144 145
1.114334e-01 1.590722e-01 2.761063e-01 3.020163e-01 4.521665e-01
146 147 148 149 150
1.258336e-01 -3.683680e-01 -1.490385e-01 -2.052342e-01 1.251594e-01
151 152 153 154 155
5.370414e-02 4.293613e-02 9.681676e-02 1.300858e-01 1.085138e-01
156 157 158 159 160
1.364602e-02 2.177015e-01 -2.723634e-01 3.843002e-02 1.340091e-01
161 162 163 164 165
-1.390827e-01 -5.206970e-02 5.197917e-02 2.096216e-01 -4.147645e-01
166 167 168 169 170
-4.607095e-01 -2.255988e-01 -1.080005e-01 -9.299840e-01 -2.268510e-01
171 172 173 174 175
-1.133500e-01 -7.842007e-01 -8.224097e-01 -8.594059e-01 -8.579998e-01
176 177 178 179 180
-8.205207e-01 -7.629323e-01 3.559368e-01 2.980180e-01 5.349723e-02
181 182 183 184 185
2.198247e-01 1.168856e-01 2.908347e-01 -6.071605e-01 -6.540412e-01
186 187 188 189 190
-5.964118e-01 -4.287819e-01 -4.585722e-01 -4.243744e-01 -4.046425e-01
191 192 193 194 195
-6.579624e-01 -7.133772e-01 1.892868e-01 -2.739585e-01 -5.450862e-01
> postscript(file="/var/wessaorg/rcomp/tmp/6f1xp1386786877.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> dum <- cbind(lag(myerror,k=1),myerror)
> dum
Time Series:
Start = 0
End = 195
Frequency = 1
lag(myerror, k = 1) myerror
0 4.112083e-02 NA
1 -6.217526e-02 4.112083e-02
2 1.225718e-02 -6.217526e-02
3 -9.202527e-02 1.225718e-02
4 1.132879e-01 -9.202527e-02
5 5.890125e-02 1.132879e-01
6 2.262824e-01 5.890125e-02
7 4.365631e-01 2.262824e-01
8 9.472391e-05 4.365631e-01
9 -1.807814e-01 9.472391e-05
10 -1.475335e-01 -1.807814e-01
11 -2.619085e-01 -1.475335e-01
12 5.646878e-01 -2.619085e-01
13 1.097173e-01 5.646878e-01
14 3.083305e-01 1.097173e-01
15 3.074029e-01 3.083305e-01
16 4.483044e-01 3.074029e-01
17 -2.934918e-01 4.483044e-01
18 -3.071358e-01 -2.934918e-01
19 3.888592e-02 -3.071358e-01
20 -4.417910e-02 3.888592e-02
21 8.930493e-02 -4.417910e-02
22 -1.245019e-01 8.930493e-02
23 1.258460e-01 -1.245019e-01
24 1.699335e-01 1.258460e-01
25 3.794816e-02 1.699335e-01
26 1.753366e-01 3.794816e-02
27 2.135523e-01 1.753366e-01
28 3.401800e-01 2.135523e-01
29 3.056647e-01 3.401800e-01
30 -2.776160e-01 3.056647e-01
31 -1.467711e-01 -2.776160e-01
32 -1.830470e-01 -1.467711e-01
33 -1.277735e-01 -1.830470e-01
34 -9.245323e-02 -1.277735e-01
35 -2.128837e-01 -9.245323e-02
36 2.024709e-01 -2.128837e-01
37 1.793894e-01 2.024709e-01
38 3.901566e-01 1.793894e-01
39 2.376647e-01 3.901566e-01
40 3.659649e-01 2.376647e-01
41 5.670951e-01 3.659649e-01
42 -2.612456e-01 5.670951e-01
43 -2.169076e-01 -2.612456e-01
44 -4.301494e-02 -2.169076e-01
45 -1.077512e-01 -4.301494e-02
46 -7.220099e-02 -1.077512e-01
47 2.015985e-02 -7.220099e-02
48 -3.322249e-01 2.015985e-02
49 -4.167296e-01 -3.322249e-01
50 -3.947876e-01 -4.167296e-01
51 -4.514418e-01 -3.947876e-01
52 -3.931701e-01 -4.514418e-01
53 -5.533514e-01 -3.931701e-01
54 1.577452e-01 -5.533514e-01
55 1.883520e-01 1.577452e-01
56 1.255975e-01 1.883520e-01
57 2.437077e-01 1.255975e-01
58 2.056313e-01 2.437077e-01
59 3.070260e-01 2.056313e-01
60 -3.763745e-01 3.070260e-01
61 -2.824950e-01 -3.763745e-01
62 -2.677312e-01 -2.824950e-01
63 -2.179111e-01 -2.677312e-01
64 -1.458044e-01 -2.179111e-01
65 -3.093367e-01 -1.458044e-01
66 7.451482e-02 -3.093367e-01
67 9.503389e-02 7.451482e-02
68 9.034056e-02 9.503389e-02
69 6.378808e-02 9.034056e-02
70 1.302036e-01 6.378808e-02
71 -9.436780e-02 1.302036e-01
72 1.319278e-01 -9.436780e-02
73 5.612582e-02 1.319278e-01
74 -2.598911e-02 5.612582e-02
75 -8.900304e-02 -2.598911e-02
76 -8.111833e-02 -8.900304e-02
77 1.179094e-02 -8.111833e-02
78 3.779168e-02 1.179094e-02
79 -1.810538e-01 3.779168e-02
80 -1.899613e-01 -1.810538e-01
81 -1.401054e-01 -1.899613e-01
82 -2.078642e-02 -1.401054e-01
83 3.183339e-01 -2.078642e-02
84 -6.973506e-02 3.183339e-01
85 1.412197e-01 -6.973506e-02
86 2.879814e-01 1.412197e-01
87 6.141133e-02 2.879814e-01
88 -4.345159e-03 6.141133e-02
89 -2.107623e-01 -4.345159e-03
90 -1.248275e-01 -2.107623e-01
91 2.131489e-01 -1.248275e-01
92 2.826093e-01 2.131489e-01
93 1.355410e-01 2.826093e-01
94 2.308921e-01 1.355410e-01
95 2.643604e-01 2.308921e-01
96 1.993111e-01 2.643604e-01
97 -2.260489e-02 1.993111e-01
98 1.735925e-01 -2.260489e-02
99 7.328435e-02 1.735925e-01
100 1.227535e-02 7.328435e-02
101 7.169399e-03 1.227535e-02
102 2.181749e-02 7.169399e-03
103 4.018332e-01 2.181749e-02
104 4.278509e-01 4.018332e-01
105 4.363158e-01 4.278509e-01
106 4.828924e-01 4.363158e-01
107 3.008967e-01 4.828924e-01
108 3.941996e-01 3.008967e-01
109 1.179412e-01 3.941996e-01
110 -1.868224e-02 1.179412e-01
111 4.105379e-01 -1.868224e-02
112 2.473711e-01 4.105379e-01
113 2.988617e-01 2.473711e-01
114 1.915381e-01 2.988617e-01
115 1.301660e-01 1.915381e-01
116 2.783967e-01 1.301660e-01
117 -3.215531e-02 2.783967e-01
118 1.057278e-01 -3.215531e-02
119 2.377126e-01 1.057278e-01
120 4.225495e-01 2.377126e-01
121 2.155930e-02 4.225495e-01
122 3.683878e-02 2.155930e-02
123 2.995254e-01 3.683878e-02
124 4.114048e-01 2.995254e-01
125 3.924738e-01 4.114048e-01
126 3.906513e-01 3.924738e-01
127 3.773140e-01 3.906513e-01
128 5.875245e-01 3.773140e-01
129 2.692519e-01 5.875245e-01
130 2.077493e-01 2.692519e-01
131 1.538742e-01 2.077493e-01
132 -3.573079e-02 1.538742e-01
133 3.661274e-01 -3.573079e-02
134 2.527761e-02 3.661274e-01
135 5.419457e-02 2.527761e-02
136 -1.543416e-01 5.419457e-02
137 -1.306768e-01 -1.543416e-01
138 5.048952e-02 -1.306768e-01
139 2.286626e-01 5.048952e-02
140 1.114334e-01 2.286626e-01
141 1.590722e-01 1.114334e-01
142 2.761063e-01 1.590722e-01
143 3.020163e-01 2.761063e-01
144 4.521665e-01 3.020163e-01
145 1.258336e-01 4.521665e-01
146 -3.683680e-01 1.258336e-01
147 -1.490385e-01 -3.683680e-01
148 -2.052342e-01 -1.490385e-01
149 1.251594e-01 -2.052342e-01
150 5.370414e-02 1.251594e-01
151 4.293613e-02 5.370414e-02
152 9.681676e-02 4.293613e-02
153 1.300858e-01 9.681676e-02
154 1.085138e-01 1.300858e-01
155 1.364602e-02 1.085138e-01
156 2.177015e-01 1.364602e-02
157 -2.723634e-01 2.177015e-01
158 3.843002e-02 -2.723634e-01
159 1.340091e-01 3.843002e-02
160 -1.390827e-01 1.340091e-01
161 -5.206970e-02 -1.390827e-01
162 5.197917e-02 -5.206970e-02
163 2.096216e-01 5.197917e-02
164 -4.147645e-01 2.096216e-01
165 -4.607095e-01 -4.147645e-01
166 -2.255988e-01 -4.607095e-01
167 -1.080005e-01 -2.255988e-01
168 -9.299840e-01 -1.080005e-01
169 -2.268510e-01 -9.299840e-01
170 -1.133500e-01 -2.268510e-01
171 -7.842007e-01 -1.133500e-01
172 -8.224097e-01 -7.842007e-01
173 -8.594059e-01 -8.224097e-01
174 -8.579998e-01 -8.594059e-01
175 -8.205207e-01 -8.579998e-01
176 -7.629323e-01 -8.205207e-01
177 3.559368e-01 -7.629323e-01
178 2.980180e-01 3.559368e-01
179 5.349723e-02 2.980180e-01
180 2.198247e-01 5.349723e-02
181 1.168856e-01 2.198247e-01
182 2.908347e-01 1.168856e-01
183 -6.071605e-01 2.908347e-01
184 -6.540412e-01 -6.071605e-01
185 -5.964118e-01 -6.540412e-01
186 -4.287819e-01 -5.964118e-01
187 -4.585722e-01 -4.287819e-01
188 -4.243744e-01 -4.585722e-01
189 -4.046425e-01 -4.243744e-01
190 -6.579624e-01 -4.046425e-01
191 -7.133772e-01 -6.579624e-01
192 1.892868e-01 -7.133772e-01
193 -2.739585e-01 1.892868e-01
194 -5.450862e-01 -2.739585e-01
195 NA -5.450862e-01
> dum1 <- dum[2:length(myerror),]
> dum1
lag(myerror, k = 1) myerror
[1,] -6.217526e-02 4.112083e-02
[2,] 1.225718e-02 -6.217526e-02
[3,] -9.202527e-02 1.225718e-02
[4,] 1.132879e-01 -9.202527e-02
[5,] 5.890125e-02 1.132879e-01
[6,] 2.262824e-01 5.890125e-02
[7,] 4.365631e-01 2.262824e-01
[8,] 9.472391e-05 4.365631e-01
[9,] -1.807814e-01 9.472391e-05
[10,] -1.475335e-01 -1.807814e-01
[11,] -2.619085e-01 -1.475335e-01
[12,] 5.646878e-01 -2.619085e-01
[13,] 1.097173e-01 5.646878e-01
[14,] 3.083305e-01 1.097173e-01
[15,] 3.074029e-01 3.083305e-01
[16,] 4.483044e-01 3.074029e-01
[17,] -2.934918e-01 4.483044e-01
[18,] -3.071358e-01 -2.934918e-01
[19,] 3.888592e-02 -3.071358e-01
[20,] -4.417910e-02 3.888592e-02
[21,] 8.930493e-02 -4.417910e-02
[22,] -1.245019e-01 8.930493e-02
[23,] 1.258460e-01 -1.245019e-01
[24,] 1.699335e-01 1.258460e-01
[25,] 3.794816e-02 1.699335e-01
[26,] 1.753366e-01 3.794816e-02
[27,] 2.135523e-01 1.753366e-01
[28,] 3.401800e-01 2.135523e-01
[29,] 3.056647e-01 3.401800e-01
[30,] -2.776160e-01 3.056647e-01
[31,] -1.467711e-01 -2.776160e-01
[32,] -1.830470e-01 -1.467711e-01
[33,] -1.277735e-01 -1.830470e-01
[34,] -9.245323e-02 -1.277735e-01
[35,] -2.128837e-01 -9.245323e-02
[36,] 2.024709e-01 -2.128837e-01
[37,] 1.793894e-01 2.024709e-01
[38,] 3.901566e-01 1.793894e-01
[39,] 2.376647e-01 3.901566e-01
[40,] 3.659649e-01 2.376647e-01
[41,] 5.670951e-01 3.659649e-01
[42,] -2.612456e-01 5.670951e-01
[43,] -2.169076e-01 -2.612456e-01
[44,] -4.301494e-02 -2.169076e-01
[45,] -1.077512e-01 -4.301494e-02
[46,] -7.220099e-02 -1.077512e-01
[47,] 2.015985e-02 -7.220099e-02
[48,] -3.322249e-01 2.015985e-02
[49,] -4.167296e-01 -3.322249e-01
[50,] -3.947876e-01 -4.167296e-01
[51,] -4.514418e-01 -3.947876e-01
[52,] -3.931701e-01 -4.514418e-01
[53,] -5.533514e-01 -3.931701e-01
[54,] 1.577452e-01 -5.533514e-01
[55,] 1.883520e-01 1.577452e-01
[56,] 1.255975e-01 1.883520e-01
[57,] 2.437077e-01 1.255975e-01
[58,] 2.056313e-01 2.437077e-01
[59,] 3.070260e-01 2.056313e-01
[60,] -3.763745e-01 3.070260e-01
[61,] -2.824950e-01 -3.763745e-01
[62,] -2.677312e-01 -2.824950e-01
[63,] -2.179111e-01 -2.677312e-01
[64,] -1.458044e-01 -2.179111e-01
[65,] -3.093367e-01 -1.458044e-01
[66,] 7.451482e-02 -3.093367e-01
[67,] 9.503389e-02 7.451482e-02
[68,] 9.034056e-02 9.503389e-02
[69,] 6.378808e-02 9.034056e-02
[70,] 1.302036e-01 6.378808e-02
[71,] -9.436780e-02 1.302036e-01
[72,] 1.319278e-01 -9.436780e-02
[73,] 5.612582e-02 1.319278e-01
[74,] -2.598911e-02 5.612582e-02
[75,] -8.900304e-02 -2.598911e-02
[76,] -8.111833e-02 -8.900304e-02
[77,] 1.179094e-02 -8.111833e-02
[78,] 3.779168e-02 1.179094e-02
[79,] -1.810538e-01 3.779168e-02
[80,] -1.899613e-01 -1.810538e-01
[81,] -1.401054e-01 -1.899613e-01
[82,] -2.078642e-02 -1.401054e-01
[83,] 3.183339e-01 -2.078642e-02
[84,] -6.973506e-02 3.183339e-01
[85,] 1.412197e-01 -6.973506e-02
[86,] 2.879814e-01 1.412197e-01
[87,] 6.141133e-02 2.879814e-01
[88,] -4.345159e-03 6.141133e-02
[89,] -2.107623e-01 -4.345159e-03
[90,] -1.248275e-01 -2.107623e-01
[91,] 2.131489e-01 -1.248275e-01
[92,] 2.826093e-01 2.131489e-01
[93,] 1.355410e-01 2.826093e-01
[94,] 2.308921e-01 1.355410e-01
[95,] 2.643604e-01 2.308921e-01
[96,] 1.993111e-01 2.643604e-01
[97,] -2.260489e-02 1.993111e-01
[98,] 1.735925e-01 -2.260489e-02
[99,] 7.328435e-02 1.735925e-01
[100,] 1.227535e-02 7.328435e-02
[101,] 7.169399e-03 1.227535e-02
[102,] 2.181749e-02 7.169399e-03
[103,] 4.018332e-01 2.181749e-02
[104,] 4.278509e-01 4.018332e-01
[105,] 4.363158e-01 4.278509e-01
[106,] 4.828924e-01 4.363158e-01
[107,] 3.008967e-01 4.828924e-01
[108,] 3.941996e-01 3.008967e-01
[109,] 1.179412e-01 3.941996e-01
[110,] -1.868224e-02 1.179412e-01
[111,] 4.105379e-01 -1.868224e-02
[112,] 2.473711e-01 4.105379e-01
[113,] 2.988617e-01 2.473711e-01
[114,] 1.915381e-01 2.988617e-01
[115,] 1.301660e-01 1.915381e-01
[116,] 2.783967e-01 1.301660e-01
[117,] -3.215531e-02 2.783967e-01
[118,] 1.057278e-01 -3.215531e-02
[119,] 2.377126e-01 1.057278e-01
[120,] 4.225495e-01 2.377126e-01
[121,] 2.155930e-02 4.225495e-01
[122,] 3.683878e-02 2.155930e-02
[123,] 2.995254e-01 3.683878e-02
[124,] 4.114048e-01 2.995254e-01
[125,] 3.924738e-01 4.114048e-01
[126,] 3.906513e-01 3.924738e-01
[127,] 3.773140e-01 3.906513e-01
[128,] 5.875245e-01 3.773140e-01
[129,] 2.692519e-01 5.875245e-01
[130,] 2.077493e-01 2.692519e-01
[131,] 1.538742e-01 2.077493e-01
[132,] -3.573079e-02 1.538742e-01
[133,] 3.661274e-01 -3.573079e-02
[134,] 2.527761e-02 3.661274e-01
[135,] 5.419457e-02 2.527761e-02
[136,] -1.543416e-01 5.419457e-02
[137,] -1.306768e-01 -1.543416e-01
[138,] 5.048952e-02 -1.306768e-01
[139,] 2.286626e-01 5.048952e-02
[140,] 1.114334e-01 2.286626e-01
[141,] 1.590722e-01 1.114334e-01
[142,] 2.761063e-01 1.590722e-01
[143,] 3.020163e-01 2.761063e-01
[144,] 4.521665e-01 3.020163e-01
[145,] 1.258336e-01 4.521665e-01
[146,] -3.683680e-01 1.258336e-01
[147,] -1.490385e-01 -3.683680e-01
[148,] -2.052342e-01 -1.490385e-01
[149,] 1.251594e-01 -2.052342e-01
[150,] 5.370414e-02 1.251594e-01
[151,] 4.293613e-02 5.370414e-02
[152,] 9.681676e-02 4.293613e-02
[153,] 1.300858e-01 9.681676e-02
[154,] 1.085138e-01 1.300858e-01
[155,] 1.364602e-02 1.085138e-01
[156,] 2.177015e-01 1.364602e-02
[157,] -2.723634e-01 2.177015e-01
[158,] 3.843002e-02 -2.723634e-01
[159,] 1.340091e-01 3.843002e-02
[160,] -1.390827e-01 1.340091e-01
[161,] -5.206970e-02 -1.390827e-01
[162,] 5.197917e-02 -5.206970e-02
[163,] 2.096216e-01 5.197917e-02
[164,] -4.147645e-01 2.096216e-01
[165,] -4.607095e-01 -4.147645e-01
[166,] -2.255988e-01 -4.607095e-01
[167,] -1.080005e-01 -2.255988e-01
[168,] -9.299840e-01 -1.080005e-01
[169,] -2.268510e-01 -9.299840e-01
[170,] -1.133500e-01 -2.268510e-01
[171,] -7.842007e-01 -1.133500e-01
[172,] -8.224097e-01 -7.842007e-01
[173,] -8.594059e-01 -8.224097e-01
[174,] -8.579998e-01 -8.594059e-01
[175,] -8.205207e-01 -8.579998e-01
[176,] -7.629323e-01 -8.205207e-01
[177,] 3.559368e-01 -7.629323e-01
[178,] 2.980180e-01 3.559368e-01
[179,] 5.349723e-02 2.980180e-01
[180,] 2.198247e-01 5.349723e-02
[181,] 1.168856e-01 2.198247e-01
[182,] 2.908347e-01 1.168856e-01
[183,] -6.071605e-01 2.908347e-01
[184,] -6.540412e-01 -6.071605e-01
[185,] -5.964118e-01 -6.540412e-01
[186,] -4.287819e-01 -5.964118e-01
[187,] -4.585722e-01 -4.287819e-01
[188,] -4.243744e-01 -4.585722e-01
[189,] -4.046425e-01 -4.243744e-01
[190,] -6.579624e-01 -4.046425e-01
[191,] -7.133772e-01 -6.579624e-01
[192,] 1.892868e-01 -7.133772e-01
[193,] -2.739585e-01 1.892868e-01
[194,] -5.450862e-01 -2.739585e-01
> z <- as.data.frame(dum1)
> z
lag(myerror, k = 1) myerror
1 -6.217526e-02 4.112083e-02
2 1.225718e-02 -6.217526e-02
3 -9.202527e-02 1.225718e-02
4 1.132879e-01 -9.202527e-02
5 5.890125e-02 1.132879e-01
6 2.262824e-01 5.890125e-02
7 4.365631e-01 2.262824e-01
8 9.472391e-05 4.365631e-01
9 -1.807814e-01 9.472391e-05
10 -1.475335e-01 -1.807814e-01
11 -2.619085e-01 -1.475335e-01
12 5.646878e-01 -2.619085e-01
13 1.097173e-01 5.646878e-01
14 3.083305e-01 1.097173e-01
15 3.074029e-01 3.083305e-01
16 4.483044e-01 3.074029e-01
17 -2.934918e-01 4.483044e-01
18 -3.071358e-01 -2.934918e-01
19 3.888592e-02 -3.071358e-01
20 -4.417910e-02 3.888592e-02
21 8.930493e-02 -4.417910e-02
22 -1.245019e-01 8.930493e-02
23 1.258460e-01 -1.245019e-01
24 1.699335e-01 1.258460e-01
25 3.794816e-02 1.699335e-01
26 1.753366e-01 3.794816e-02
27 2.135523e-01 1.753366e-01
28 3.401800e-01 2.135523e-01
29 3.056647e-01 3.401800e-01
30 -2.776160e-01 3.056647e-01
31 -1.467711e-01 -2.776160e-01
32 -1.830470e-01 -1.467711e-01
33 -1.277735e-01 -1.830470e-01
34 -9.245323e-02 -1.277735e-01
35 -2.128837e-01 -9.245323e-02
36 2.024709e-01 -2.128837e-01
37 1.793894e-01 2.024709e-01
38 3.901566e-01 1.793894e-01
39 2.376647e-01 3.901566e-01
40 3.659649e-01 2.376647e-01
41 5.670951e-01 3.659649e-01
42 -2.612456e-01 5.670951e-01
43 -2.169076e-01 -2.612456e-01
44 -4.301494e-02 -2.169076e-01
45 -1.077512e-01 -4.301494e-02
46 -7.220099e-02 -1.077512e-01
47 2.015985e-02 -7.220099e-02
48 -3.322249e-01 2.015985e-02
49 -4.167296e-01 -3.322249e-01
50 -3.947876e-01 -4.167296e-01
51 -4.514418e-01 -3.947876e-01
52 -3.931701e-01 -4.514418e-01
53 -5.533514e-01 -3.931701e-01
54 1.577452e-01 -5.533514e-01
55 1.883520e-01 1.577452e-01
56 1.255975e-01 1.883520e-01
57 2.437077e-01 1.255975e-01
58 2.056313e-01 2.437077e-01
59 3.070260e-01 2.056313e-01
60 -3.763745e-01 3.070260e-01
61 -2.824950e-01 -3.763745e-01
62 -2.677312e-01 -2.824950e-01
63 -2.179111e-01 -2.677312e-01
64 -1.458044e-01 -2.179111e-01
65 -3.093367e-01 -1.458044e-01
66 7.451482e-02 -3.093367e-01
67 9.503389e-02 7.451482e-02
68 9.034056e-02 9.503389e-02
69 6.378808e-02 9.034056e-02
70 1.302036e-01 6.378808e-02
71 -9.436780e-02 1.302036e-01
72 1.319278e-01 -9.436780e-02
73 5.612582e-02 1.319278e-01
74 -2.598911e-02 5.612582e-02
75 -8.900304e-02 -2.598911e-02
76 -8.111833e-02 -8.900304e-02
77 1.179094e-02 -8.111833e-02
78 3.779168e-02 1.179094e-02
79 -1.810538e-01 3.779168e-02
80 -1.899613e-01 -1.810538e-01
81 -1.401054e-01 -1.899613e-01
82 -2.078642e-02 -1.401054e-01
83 3.183339e-01 -2.078642e-02
84 -6.973506e-02 3.183339e-01
85 1.412197e-01 -6.973506e-02
86 2.879814e-01 1.412197e-01
87 6.141133e-02 2.879814e-01
88 -4.345159e-03 6.141133e-02
89 -2.107623e-01 -4.345159e-03
90 -1.248275e-01 -2.107623e-01
91 2.131489e-01 -1.248275e-01
92 2.826093e-01 2.131489e-01
93 1.355410e-01 2.826093e-01
94 2.308921e-01 1.355410e-01
95 2.643604e-01 2.308921e-01
96 1.993111e-01 2.643604e-01
97 -2.260489e-02 1.993111e-01
98 1.735925e-01 -2.260489e-02
99 7.328435e-02 1.735925e-01
100 1.227535e-02 7.328435e-02
101 7.169399e-03 1.227535e-02
102 2.181749e-02 7.169399e-03
103 4.018332e-01 2.181749e-02
104 4.278509e-01 4.018332e-01
105 4.363158e-01 4.278509e-01
106 4.828924e-01 4.363158e-01
107 3.008967e-01 4.828924e-01
108 3.941996e-01 3.008967e-01
109 1.179412e-01 3.941996e-01
110 -1.868224e-02 1.179412e-01
111 4.105379e-01 -1.868224e-02
112 2.473711e-01 4.105379e-01
113 2.988617e-01 2.473711e-01
114 1.915381e-01 2.988617e-01
115 1.301660e-01 1.915381e-01
116 2.783967e-01 1.301660e-01
117 -3.215531e-02 2.783967e-01
118 1.057278e-01 -3.215531e-02
119 2.377126e-01 1.057278e-01
120 4.225495e-01 2.377126e-01
121 2.155930e-02 4.225495e-01
122 3.683878e-02 2.155930e-02
123 2.995254e-01 3.683878e-02
124 4.114048e-01 2.995254e-01
125 3.924738e-01 4.114048e-01
126 3.906513e-01 3.924738e-01
127 3.773140e-01 3.906513e-01
128 5.875245e-01 3.773140e-01
129 2.692519e-01 5.875245e-01
130 2.077493e-01 2.692519e-01
131 1.538742e-01 2.077493e-01
132 -3.573079e-02 1.538742e-01
133 3.661274e-01 -3.573079e-02
134 2.527761e-02 3.661274e-01
135 5.419457e-02 2.527761e-02
136 -1.543416e-01 5.419457e-02
137 -1.306768e-01 -1.543416e-01
138 5.048952e-02 -1.306768e-01
139 2.286626e-01 5.048952e-02
140 1.114334e-01 2.286626e-01
141 1.590722e-01 1.114334e-01
142 2.761063e-01 1.590722e-01
143 3.020163e-01 2.761063e-01
144 4.521665e-01 3.020163e-01
145 1.258336e-01 4.521665e-01
146 -3.683680e-01 1.258336e-01
147 -1.490385e-01 -3.683680e-01
148 -2.052342e-01 -1.490385e-01
149 1.251594e-01 -2.052342e-01
150 5.370414e-02 1.251594e-01
151 4.293613e-02 5.370414e-02
152 9.681676e-02 4.293613e-02
153 1.300858e-01 9.681676e-02
154 1.085138e-01 1.300858e-01
155 1.364602e-02 1.085138e-01
156 2.177015e-01 1.364602e-02
157 -2.723634e-01 2.177015e-01
158 3.843002e-02 -2.723634e-01
159 1.340091e-01 3.843002e-02
160 -1.390827e-01 1.340091e-01
161 -5.206970e-02 -1.390827e-01
162 5.197917e-02 -5.206970e-02
163 2.096216e-01 5.197917e-02
164 -4.147645e-01 2.096216e-01
165 -4.607095e-01 -4.147645e-01
166 -2.255988e-01 -4.607095e-01
167 -1.080005e-01 -2.255988e-01
168 -9.299840e-01 -1.080005e-01
169 -2.268510e-01 -9.299840e-01
170 -1.133500e-01 -2.268510e-01
171 -7.842007e-01 -1.133500e-01
172 -8.224097e-01 -7.842007e-01
173 -8.594059e-01 -8.224097e-01
174 -8.579998e-01 -8.594059e-01
175 -8.205207e-01 -8.579998e-01
176 -7.629323e-01 -8.205207e-01
177 3.559368e-01 -7.629323e-01
178 2.980180e-01 3.559368e-01
179 5.349723e-02 2.980180e-01
180 2.198247e-01 5.349723e-02
181 1.168856e-01 2.198247e-01
182 2.908347e-01 1.168856e-01
183 -6.071605e-01 2.908347e-01
184 -6.540412e-01 -6.071605e-01
185 -5.964118e-01 -6.540412e-01
186 -4.287819e-01 -5.964118e-01
187 -4.585722e-01 -4.287819e-01
188 -4.243744e-01 -4.585722e-01
189 -4.046425e-01 -4.243744e-01
190 -6.579624e-01 -4.046425e-01
191 -7.133772e-01 -6.579624e-01
192 1.892868e-01 -7.133772e-01
193 -2.739585e-01 1.892868e-01
194 -5.450862e-01 -2.739585e-01
> plot(z,main=paste('Residual Lag plot, lowess, and regression line'), ylab='values of Residuals', xlab='lagged values of Residuals')
> lines(lowess(z))
> abline(lm(z))
> grid()
> dev.off()
null device
1
> postscript(file="/var/wessaorg/rcomp/tmp/7h4eq1386786877.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> acf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Autocorrelation Function')
> grid()
> dev.off()
null device
1
> postscript(file="/var/wessaorg/rcomp/tmp/81dls1386786877.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> pacf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Partial Autocorrelation Function')
> grid()
> dev.off()
null device
1
> postscript(file="/var/wessaorg/rcomp/tmp/9hhl91386786877.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> opar <- par(mfrow = c(2,2), oma = c(0, 0, 1.1, 0))
> plot(mylm, las = 1, sub='Residual Diagnostics')
> par(opar)
> dev.off()
null device
1
> if (n > n25) {
+ postscript(file="/var/wessaorg/rcomp/tmp/10l2sk1386786877.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
+ plot(kp3:nmkm3,gqarr[,2], main='Goldfeld-Quandt test',ylab='2-sided p-value',xlab='breakpoint')
+ grid()
+ dev.off()
+ }
null device
1
>
> #Note: the /var/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/wessaorg/rcomp/createtable")
>
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a, 'Multiple Linear Regression - Estimated Regression Equation', 1, TRUE)
> a<-table.row.end(a)
> myeq <- colnames(x)[1]
> myeq <- paste(myeq, '[t] = ', sep='')
> for (i in 1:k){
+ if (mysum$coefficients[i,1] > 0) myeq <- paste(myeq, '+', '')
+ myeq <- paste(myeq, signif(mysum$coefficients[i,1],6), sep=' ')
+ if (rownames(mysum$coefficients)[i] != '(Intercept)') {
+ myeq <- paste(myeq, rownames(mysum$coefficients)[i], sep='')
+ if (rownames(mysum$coefficients)[i] != 't') myeq <- paste(myeq, '[t]', sep='')
+ }
+ }
> myeq <- paste(myeq, ' + e[t]')
> a<-table.row.start(a)
> a<-table.element(a, myeq)
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/11l7xc1386786877.tab")
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,hyperlink('http://www.xycoon.com/ols1.htm','Multiple Linear Regression - Ordinary Least Squares',''), 6, TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Variable',header=TRUE)
> a<-table.element(a,'Parameter',header=TRUE)
> a<-table.element(a,'S.D.',header=TRUE)
> a<-table.element(a,'T-STAT
H0: parameter = 0',header=TRUE)
> a<-table.element(a,'2-tail p-value',header=TRUE)
> a<-table.element(a,'1-tail p-value',header=TRUE)
> a<-table.row.end(a)
> for (i in 1:k){
+ a<-table.row.start(a)
+ a<-table.element(a,rownames(mysum$coefficients)[i],header=TRUE)
+ a<-table.element(a,signif(mysum$coefficients[i,1],6))
+ a<-table.element(a, signif(mysum$coefficients[i,2],6))
+ a<-table.element(a, signif(mysum$coefficients[i,3],4))
+ a<-table.element(a, signif(mysum$coefficients[i,4],6))
+ a<-table.element(a, signif(mysum$coefficients[i,4]/2,6))
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/12p2z71386786877.tab")
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a, 'Multiple Linear Regression - Regression Statistics', 2, TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'Multiple R',1,TRUE)
> a<-table.element(a, signif(sqrt(mysum$r.squared),6))
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'R-squared',1,TRUE)
> a<-table.element(a, signif(mysum$r.squared,6))
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'Adjusted R-squared',1,TRUE)
> a<-table.element(a, signif(mysum$adj.r.squared,6))
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'F-TEST (value)',1,TRUE)
> a<-table.element(a, signif(mysum$fstatistic[1],6))
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'F-TEST (DF numerator)',1,TRUE)
> a<-table.element(a, signif(mysum$fstatistic[2],6))
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'F-TEST (DF denominator)',1,TRUE)
> a<-table.element(a, signif(mysum$fstatistic[3],6))
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'p-value',1,TRUE)
> a<-table.element(a, signif(1-pf(mysum$fstatistic[1],mysum$fstatistic[2],mysum$fstatistic[3]),6))
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'Multiple Linear Regression - Residual Statistics', 2, TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'Residual Standard Deviation',1,TRUE)
> a<-table.element(a, signif(mysum$sigma,6))
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'Sum Squared Residuals',1,TRUE)
> a<-table.element(a, signif(sum(myerror*myerror),6))
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/13zgfb1386786877.tab")
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a, 'Multiple Linear Regression - Actuals, Interpolation, and Residuals', 4, TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'Time or Index', 1, TRUE)
> a<-table.element(a, 'Actuals', 1, TRUE)
> a<-table.element(a, 'Interpolation
Forecast', 1, TRUE)
> a<-table.element(a, 'Residuals
Prediction Error', 1, TRUE)
> a<-table.row.end(a)
> for (i in 1:n) {
+ a<-table.row.start(a)
+ a<-table.element(a,i, 1, TRUE)
+ a<-table.element(a,signif(x[i],6))
+ a<-table.element(a,signif(x[i]-mysum$resid[i],6))
+ a<-table.element(a,signif(mysum$resid[i],6))
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/14dm7g1386786877.tab")
> if (n > n25) {
+ a<-table.start()
+ a<-table.row.start(a)
+ a<-table.element(a,'Goldfeld-Quandt test for Heteroskedasticity',4,TRUE)
+ a<-table.row.end(a)
+ a<-table.row.start(a)
+ a<-table.element(a,'p-values',header=TRUE)
+ a<-table.element(a,'Alternative Hypothesis',3,header=TRUE)
+ a<-table.row.end(a)
+ a<-table.row.start(a)
+ a<-table.element(a,'breakpoint index',header=TRUE)
+ a<-table.element(a,'greater',header=TRUE)
+ a<-table.element(a,'2-sided',header=TRUE)
+ a<-table.element(a,'less',header=TRUE)
+ a<-table.row.end(a)
+ for (mypoint in kp3:nmkm3) {
+ a<-table.row.start(a)
+ a<-table.element(a,mypoint,header=TRUE)
+ a<-table.element(a,signif(gqarr[mypoint-kp3+1,1],6))
+ a<-table.element(a,signif(gqarr[mypoint-kp3+1,2],6))
+ a<-table.element(a,signif(gqarr[mypoint-kp3+1,3],6))
+ a<-table.row.end(a)
+ }
+ a<-table.end(a)
+ table.save(a,file="/var/wessaorg/rcomp/tmp/15ivrb1386786877.tab")
+ a<-table.start()
+ a<-table.row.start(a)
+ a<-table.element(a,'Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity',4,TRUE)
+ a<-table.row.end(a)
+ a<-table.row.start(a)
+ a<-table.element(a,'Description',header=TRUE)
+ a<-table.element(a,'# significant tests',header=TRUE)
+ a<-table.element(a,'% significant tests',header=TRUE)
+ a<-table.element(a,'OK/NOK',header=TRUE)
+ a<-table.row.end(a)
+ a<-table.row.start(a)
+ a<-table.element(a,'1% type I error level',header=TRUE)
+ a<-table.element(a,signif(numsignificant1,6))
+ a<-table.element(a,signif(numsignificant1/numgqtests,6))
+ if (numsignificant1/numgqtests < 0.01) dum <- 'OK' else dum <- 'NOK'
+ a<-table.element(a,dum)
+ a<-table.row.end(a)
+ a<-table.row.start(a)
+ a<-table.element(a,'5% type I error level',header=TRUE)
+ a<-table.element(a,signif(numsignificant5,6))
+ a<-table.element(a,signif(numsignificant5/numgqtests,6))
+ if (numsignificant5/numgqtests < 0.05) dum <- 'OK' else dum <- 'NOK'
+ a<-table.element(a,dum)
+ a<-table.row.end(a)
+ a<-table.row.start(a)
+ a<-table.element(a,'10% type I error level',header=TRUE)
+ a<-table.element(a,signif(numsignificant10,6))
+ a<-table.element(a,signif(numsignificant10/numgqtests,6))
+ if (numsignificant10/numgqtests < 0.1) dum <- 'OK' else dum <- 'NOK'
+ a<-table.element(a,dum)
+ a<-table.row.end(a)
+ a<-table.end(a)
+ table.save(a,file="/var/wessaorg/rcomp/tmp/16z0o11386786877.tab")
+ }
>
> try(system("convert tmp/12cau1386786877.ps tmp/12cau1386786877.png",intern=TRUE))
character(0)
> try(system("convert tmp/2dekj1386786877.ps tmp/2dekj1386786877.png",intern=TRUE))
character(0)
> try(system("convert tmp/3damu1386786877.ps tmp/3damu1386786877.png",intern=TRUE))
character(0)
> try(system("convert tmp/49r4g1386786877.ps tmp/49r4g1386786877.png",intern=TRUE))
character(0)
> try(system("convert tmp/57umf1386786877.ps tmp/57umf1386786877.png",intern=TRUE))
character(0)
> try(system("convert tmp/6f1xp1386786877.ps tmp/6f1xp1386786877.png",intern=TRUE))
character(0)
> try(system("convert tmp/7h4eq1386786877.ps tmp/7h4eq1386786877.png",intern=TRUE))
character(0)
> try(system("convert tmp/81dls1386786877.ps tmp/81dls1386786877.png",intern=TRUE))
character(0)
> try(system("convert tmp/9hhl91386786877.ps tmp/9hhl91386786877.png",intern=TRUE))
character(0)
> try(system("convert tmp/10l2sk1386786877.ps tmp/10l2sk1386786877.png",intern=TRUE))
character(0)
>
>
> proc.time()
user system elapsed
31.748 5.489 37.210