R version 2.8.0 (2008-10-20)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
R is free software and comes with ABSOLUTELY NO WARRANTY.
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Type 'license()' or 'licence()' for distribution details.
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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(8.155
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+ ,45.829
+ ,111
+ ,16.337
+ ,8.746
+ ,15.408
+ ,107
+ ,15.747
+ ,21.624
+ ,38.382
+ ,101
+ ,14.822
+ ,10.162
+ ,18.275
+ ,105
+ ,15.374
+ ,41.500
+ ,70.233
+ ,102
+ ,15.004
+ ,9.663
+ ,17.068
+ ,103
+ ,15.127
+ ,15.252
+ ,26.976
+ ,105
+ ,15.430
+ ,16.211
+ ,27.363
+ ,100
+ ,14.706
+ ,7.783
+ ,13.492
+ ,90
+ ,13.274
+ ,6.593
+ ,11.562
+ ,86
+ ,12.680
+ ,1.932
+ ,3.391
+ ,94
+ ,13.775
+ ,3.561
+ ,6.369
+ ,96
+ ,14.067
+ ,3.317
+ ,5.747
+ ,101
+ ,14.888
+ ,1.905
+ ,3.278
+ ,100
+ ,14.654
+ ,6.355
+ ,11.071
+ ,95
+ ,13.995
+ ,5.976
+ ,10.720
+ ,85
+ ,12.529
+ ,8.174
+ ,14.142
+ ,83
+ ,12.240
+ ,117.696
+ ,201.571
+ ,78
+ ,11.433
+ ,20.776
+ ,35.784
+ ,78
+ ,11.482
+ ,17.180
+ ,29.879
+ ,85
+ ,12.512
+ ,6.020
+ ,11.034
+ ,70
+ ,10.226
+ ,12.990
+ ,22.269
+ ,87
+ ,12.840
+ ,9.788
+ ,16.775
+ ,84
+ ,12.384
+ ,6.853
+ ,12.048
+ ,114
+ ,16.795
+ ,5.112
+ ,8.963
+ ,106
+ ,15.607
+ ,12.900
+ ,22.421
+ ,84
+ ,12.274
+ ,6.021
+ ,10.192
+ ,115
+ ,16.905
+ ,9.198
+ ,16.423
+ ,102
+ ,14.971
+ ,6.033
+ ,10.677
+ ,102
+ ,14.946
+ ,11.794
+ ,20.155
+ ,79
+ ,11.629
+ ,11.416
+ ,20.021
+ ,74
+ ,10.941
+ ,9.873
+ ,16.890
+ ,83
+ ,12.123
+ ,12.235
+ ,20.728
+ ,86
+ ,12.630
+ ,3.810
+ ,6.728
+ ,84
+ ,12.331
+ ,2.843
+ ,5.017
+ ,95
+ ,13.905
+ ,4.920
+ ,9.720
+ ,105
+ ,15.369
+ ,2.187
+ ,4.080
+ ,97
+ ,14.254
+ ,53.206
+ ,91.174
+ ,89
+ ,13.011
+ ,10.872
+ ,18.714
+ ,78
+ ,11.447
+ ,4.402
+ ,7.746
+ ,102
+ ,15.029
+ ,3.940
+ ,6.556
+ ,83
+ ,12.215
+ ,13.356
+ ,22.622
+ ,93
+ ,13.643
+ ,9.899
+ ,17.597
+ ,82
+ ,12.015
+ ,30.531
+ ,53.467
+ ,84
+ ,12.336
+ ,11.700
+ ,20.620
+ ,102
+ ,14.933
+ ,5.871
+ ,10.207
+ ,99
+ ,14.506
+ ,7.185
+ ,12.387
+ ,109
+ ,16.084
+ ,44.601
+ ,77.562
+ ,83
+ ,12.134
+ ,4.475
+ ,7.994
+ ,102
+ ,14.971
+ ,10.543
+ ,18.085
+ ,94
+ ,13.874
+ ,4.321
+ ,8.042
+ ,110
+ ,16.202
+ ,14.135
+ ,25.785
+ ,96
+ ,14.079
+ ,6.825
+ ,11.632
+ ,82
+ ,12.102
+ ,3.782
+ ,6.755
+ ,87
+ ,12.798
+ ,19.290
+ ,32.591
+ ,87
+ ,12.713
+ ,5.622
+ ,9.898
+ ,79
+ ,11.559
+ ,5.501
+ ,9.588
+ ,82
+ ,12.085
+ ,4.216
+ ,7.455
+ ,93
+ ,13.627
+ ,2.085
+ ,3.604
+ ,81
+ ,11.893
+ ,7.508
+ ,13.377
+ ,114
+ ,16.791
+ ,3.083
+ ,5.550
+ ,101
+ ,14.790
+ ,2.187
+ ,4.130
+ ,83
+ ,12.129
+ ,2.914
+ ,5.148
+ ,75
+ ,11.016
+ ,11.033
+ ,18.768
+ ,85
+ ,12.556
+ ,2.657
+ ,4.688
+ ,84
+ ,12.363
+ ,8.308
+ ,14.640
+ ,102
+ ,14.943
+ ,4.482
+ ,7.550
+ ,88
+ ,12.947
+ ,4.325
+ ,7.726
+ ,88
+ ,12.937
+ ,3.056
+ ,5.449
+ ,91
+ ,13.430
+ ,5.351
+ ,9.826
+ ,90
+ ,13.216
+ ,7.756
+ ,13.315
+ ,93
+ ,13.721
+ ,1.918
+ ,3.423
+ ,95
+ ,13.997
+ ,2.933
+ ,5.324
+ ,92
+ ,13.548
+ ,9.489
+ ,16.883
+ ,82
+ ,12.087
+ ,2.888
+ ,5.046
+ ,91
+ ,13.368
+ ,40.378
+ ,68.018
+ ,94
+ ,13.788
+ ,7.744
+ ,13.213
+ ,92
+ ,13.543
+ ,2.261
+ ,4.007
+ ,104
+ ,15.341
+ ,1.583
+ ,2.870
+ ,104
+ ,15.319
+ ,2.380
+ ,4.238
+ ,96
+ ,14.168
+ ,3.280
+ ,5.742
+ ,86
+ ,12.691
+ ,2.551
+ ,4.519
+ ,96
+ ,14.045
+ ,2.116
+ ,3.618
+ ,93
+ ,13.695
+ ,2.532
+ ,4.593
+ ,100
+ ,14.646
+ ,12.499
+ ,20.263
+ ,93
+ ,13.722
+ ,2.896
+ ,5.151
+ ,95
+ ,14.021
+ ,2.091
+ ,3.736
+ ,103
+ ,15.122
+ ,3.169
+ ,5.669
+ ,118
+ ,17.390
+ ,1.487
+ ,2.582
+ ,97
+ ,14.321
+ ,1.288
+ ,2.397
+ ,102
+ ,15.047
+ ,1.946
+ ,3.650
+ ,105
+ ,15.422
+ ,3.374
+ ,6.142
+ ,99
+ ,14.491
+ ,7.220
+ ,12.870
+ ,101
+ ,14.792
+ ,16.349
+ ,27.483
+ ,94
+ ,13.826
+ ,4.996
+ ,8.737
+ ,105
+ ,15.358
+ ,6.435
+ ,11.160
+ ,95
+ ,13.886
+ ,4.905
+ ,8.439
+ ,97
+ ,14.201
+ ,6.779
+ ,11.798
+ ,91
+ ,13.363
+ ,7.304
+ ,12.932
+ ,106
+ ,15.569
+ ,11.935
+ ,20.934
+ ,123
+ ,18.061
+ ,3.173
+ ,5.383
+ ,88
+ ,12.898
+ ,3.677
+ ,6.616
+ ,108
+ ,15.890
+ ,7.851
+ ,13.069
+ ,113
+ ,16.556
+ ,14.750
+ ,24.992
+ ,89
+ ,13.136
+ ,9.395
+ ,16.150
+ ,94
+ ,13.751
+ ,12.687
+ ,21.833
+ ,86
+ ,12.615
+ ,22.124
+ ,37.702
+ ,82
+ ,12.102
+ ,4.886
+ ,8.555
+ ,107
+ ,15.728
+ ,112.237
+ ,189.504
+ ,85
+ ,12.439
+ ,5.420
+ ,9.716
+ ,127
+ ,18.611
+ ,13.897
+ ,23.651
+ ,96
+ ,14.067
+ ,13.110
+ ,22.591
+ ,79
+ ,11.556
+ ,36.631
+ ,61.447
+ ,81
+ ,11.932
+ ,8.813
+ ,15.654
+ ,97
+ ,14.234
+ ,7.325
+ ,13.080
+ ,107
+ ,15.725
+ ,4.334
+ ,7.718
+ ,97
+ ,14.213
+ ,9.665
+ ,16.877
+ ,92
+ ,13.573
+ ,2.352
+ ,4.156
+ ,99
+ ,14.498
+ ,2.307
+ ,4.133
+ ,97
+ ,14.318
+ ,8.020
+ ,14.467
+ ,75
+ ,10.952
+ ,9.416
+ ,16.747
+ ,99
+ ,14.597
+ ,4.524
+ ,8.022
+ ,107
+ ,15.685
+ ,1.873
+ ,3.351
+ ,90
+ ,13.158
+ ,3.194
+ ,5.662
+ ,91
+ ,13.312
+ ,6.869
+ ,11.910
+ ,92
+ ,13.571
+ ,2.099
+ ,3.785
+ ,118
+ ,17.363
+ ,5.376
+ ,9.574
+ ,90
+ ,13.211
+ ,5.404
+ ,9.773
+ ,88
+ ,12.967
+ ,6.601
+ ,10.510
+ ,96
+ ,14.036
+ ,3.926
+ ,6.687
+ ,91
+ ,13.386
+ ,1.688
+ ,3.010
+ ,101
+ ,14.849
+ ,6.668
+ ,11.717
+ ,102
+ ,15.051
+ ,2.837
+ ,5.380
+ ,104
+ ,15.237
+ ,1.452
+ ,2.516
+ ,90
+ ,13.255
+ ,31.389
+ ,54.334
+ ,82
+ ,12.019
+ ,3.784
+ ,6.820
+ ,89
+ ,13.004
+ ,5.429
+ ,9.290
+ ,96
+ ,14.109
+ ,2.686
+ ,5.338
+ ,83
+ ,12.250
+ ,2.601
+ ,5.462
+ ,79
+ ,11.634
+ ,1.996
+ ,3.952
+ ,82
+ ,12.084
+ ,2.930
+ ,5.597
+ ,82
+ ,12.070
+ ,9.787
+ ,18.360
+ ,98
+ ,14.437
+ ,5.359
+ ,10.519
+ ,84
+ ,12.291
+ ,2.611
+ ,5.221
+ ,93
+ ,13.664
+ ,5.028
+ ,10.255
+ ,97
+ ,14.230
+ ,4.939
+ ,9.216
+ ,93
+ ,13.589
+ ,1.565
+ ,2.833
+ ,104
+ ,15.294
+ ,3.166
+ ,5.639
+ ,102
+ ,15.010
+ ,1.601
+ ,2.867
+ ,110
+ ,16.195
+ ,1.574
+ ,2.859
+ ,111
+ ,16.338
+ ,1.988
+ ,3.577
+ ,110
+ ,16.218
+ ,1.732
+ ,3.056
+ ,104
+ ,15.233
+ ,1.585
+ ,2.962
+ ,105
+ ,15.403
+ ,8.232
+ ,14.596
+ ,105
+ ,15.455
+ ,1.738
+ ,3.047
+ ,104
+ ,15.335
+ ,2.003
+ ,3.506
+ ,105
+ ,15.366
+ ,2.944
+ ,5.164
+ ,109
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+ ,3.847
+ ,6.563
+ ,91
+ ,13.437
+ ,8.635
+ ,14.252
+ ,104
+ ,15.286
+ ,1.424
+ ,2.581
+ ,94
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+ ,4.251
+ ,7.592
+ ,99
+ ,14.599
+ ,23.050
+ ,41.757
+ ,92
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+ ,10.052
+ ,17.937
+ ,105
+ ,15.437
+ ,35.964
+ ,64.194
+ ,89
+ ,13.023
+ ,4.536
+ ,7.922
+ ,103
+ ,15.160
+ ,5.056
+ ,8.745
+ ,103
+ ,15.070
+ ,5.611
+ ,9.899
+ ,101
+ ,14.853
+ ,43.970
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+ ,6.788
+ ,11.916
+ ,105
+ ,15.395
+ ,17.047
+ ,31.147
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+ ,8.488
+ ,14.554
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+ ,14.071
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+ ,13.905
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+ ,15.311
+ ,3.879
+ ,6.696
+ ,99
+ ,14.577
+ ,5.280
+ ,9.762
+ ,97
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+ ,23.525
+ ,38.627
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+ ,15.102
+ ,9.981
+ ,17.113
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+ ,11.471
+ ,20.183
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+ ,3.918
+ ,6.970
+ ,101
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+ ,6.876
+ ,12.535
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+ ,8.429
+ ,14.644
+ ,97
+ ,14.210
+ ,10.793
+ ,19.233
+ ,91
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+ ,7.693
+ ,13.880
+ ,90
+ ,13.157
+ ,6.390
+ ,11.564
+ ,95
+ ,13.934
+ ,16.513
+ ,30.021
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+ ,13.091
+ ,6.516
+ ,12.108
+ ,89
+ ,13.021
+ ,17.937
+ ,32.282
+ ,95
+ ,13.927
+ ,13.589
+ ,24.009
+ ,96
+ ,14.072
+ ,6.857
+ ,12.637
+ ,95
+ ,13.908
+ ,9.005
+ ,16.201
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+ ,14.170
+ ,7.427
+ ,13.650
+ ,95
+ ,13.993
+ ,9.015
+ ,15.969
+ ,97
+ ,14.200
+ ,6.216
+ ,11.121
+ ,105
+ ,15.470
+ ,17.455
+ ,30.278
+ ,98
+ ,14.327
+ ,6.014
+ ,10.272
+ ,101
+ ,14.778
+ ,3.978
+ ,6.855
+ ,98
+ ,14.356
+ ,56
+ ,84
+ ,117
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+ ,9.377
+ ,100
+ ,14.699
+ ,4.685
+ ,8.152
+ ,104
+ ,15.302
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+ ,24.829
+ ,101
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+ ,20.890
+ ,36.558
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+ ,12.655
+ ,8.987
+ ,16.110
+ ,96
+ ,14.140
+ ,17.813
+ ,29.832
+ ,101
+ ,14.853
+ ,2.298
+ ,4.234
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+ ,13.651
+ ,4.065
+ ,7.050
+ ,102
+ ,15.047
+ ,14.443
+ ,26.738
+ ,119
+ ,17.495
+ ,2.249
+ ,4.873
+ ,122
+ ,17.969
+ ,8.045
+ ,15.263
+ ,97
+ ,14.211
+ ,883
+ ,1.575
+ ,95
+ ,13.964
+ ,3.955
+ ,7.543
+ ,118
+ ,17.334
+ ,7.905
+ ,14.481
+ ,88
+ ,12.997
+ ,1.576
+ ,3.025
+ ,85
+ ,12.454
+ ,1.073
+ ,2.093
+ ,103
+ ,15.123
+ ,2.606
+ ,4.803
+ ,82
+ ,12.043
+ ,2.755
+ ,4.810
+ ,87
+ ,12.748
+ ,1.310
+ ,2.325
+ ,85
+ ,12.544
+ ,2.487
+ ,4.817
+ ,87
+ ,12.844
+ ,4.285
+ ,7.372
+ ,89
+ ,13.091
+ ,6.276
+ ,10.706
+ ,86
+ ,12.697
+ ,1.672
+ ,2.948
+ ,86
+ ,12.667
+ ,2.807
+ ,5.076
+ ,83
+ ,12.150
+ ,2.521
+ ,4.349
+ ,82
+ ,11.993
+ ,1.869
+ ,3.207
+ ,89
+ ,13.102
+ ,9.606
+ ,17.100
+ ,88
+ ,12.948
+ ,2.772
+ ,5.069
+ ,88
+ ,12.984
+ ,1.371
+ ,2.316
+ ,83
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+ ,1.469
+ ,2.585
+ ,90
+ ,13.150
+ ,4.678
+ ,8.187
+ ,88
+ ,12.989
+ ,3.278
+ ,5.489
+ ,85
+ ,12.427
+ ,778
+ ,1.369
+ ,86
+ ,12.563
+ ,893
+ ,1.547
+ ,87
+ ,12.718
+ ,2.216
+ ,4.259
+ ,93
+ ,13.676
+ ,2.623
+ ,4.681
+ ,92
+ ,13.554
+ ,5.567
+ ,10.016
+ ,95
+ ,13.897
+ ,3.660
+ ,6.676
+ ,90
+ ,13.240
+ ,2.829
+ ,5.072
+ ,84
+ ,12.327
+ ,3.294
+ ,5.774
+ ,90
+ ,13.250
+ ,1.321
+ ,2.392
+ ,89
+ ,13.019
+ ,1.630
+ ,2.974
+ ,83
+ ,12.255
+ ,2.758
+ ,5.071
+ ,91
+ ,13.297
+ ,2.641
+ ,5.429
+ ,111
+ ,16.308
+ ,3.259
+ ,5.447
+ ,87
+ ,12.801
+ ,4.097
+ ,7.964
+ ,108
+ ,15.891
+ ,1.474
+ ,2.699
+ ,92
+ ,13.533
+ ,2.167
+ ,4.264
+ ,97
+ ,14.205
+ ,1.080
+ ,2.037
+ ,86
+ ,12.631
+ ,1.647
+ ,3.212
+ ,107
+ ,15.668
+ ,1.907
+ ,3.758
+ ,91
+ ,13.332
+ ,5.890
+ ,11.230
+ ,91
+ ,13.326
+ ,4.022
+ ,6.986
+ ,90
+ ,13.196
+ ,4.852
+ ,8.494
+ ,84
+ ,12.410
+ ,1.822
+ ,3.163
+ ,81
+ ,11.949
+ ,8.816
+ ,15.197
+ ,93
+ ,13.641
+ ,7.872
+ ,13.164
+ ,88
+ ,12.950
+ ,2.531
+ ,4.451
+ ,84
+ ,12.384
+ ,3.595
+ ,6.722
+ ,96
+ ,14.121
+ ,3.261
+ ,5.348
+ ,84
+ ,12.326
+ ,2.702
+ ,4.953
+ ,90
+ ,13.197
+ ,2.613
+ ,4.482
+ ,90
+ ,13.232
+ ,1.747
+ ,3.131
+ ,90
+ ,13.190
+ ,6.816
+ ,12.115
+ ,85
+ ,12.550
+ ,2.631
+ ,4.741
+ ,87
+ ,12.772
+ ,1.586
+ ,2.831
+ ,76
+ ,11.231
+ ,4.831
+ ,8.586
+ ,101
+ ,14.830
+ ,14.237
+ ,24.686
+ ,89
+ ,13.061
+ ,3.447
+ ,6.316
+ ,110
+ ,16.146
+ ,8.178
+ ,14.680
+ ,106
+ ,15.568
+ ,3.671
+ ,6.804
+ ,104
+ ,15.311
+ ,4.194
+ ,7.536
+ ,103
+ ,15.095
+ ,5.132
+ ,9.460
+ ,92
+ ,13.511
+ ,12.580
+ ,22.252
+ ,110
+ ,16.091
+ ,3.578
+ ,6.503
+ ,102
+ ,14.943
+ ,10.006
+ ,18.109
+ ,94
+ ,13.848
+ ,4.502
+ ,8.428
+ ,113
+ ,16.629
+ ,6.730
+ ,12.135
+ ,93
+ ,13.637
+ ,64.771
+ ,107.796
+ ,100
+ ,14.749
+ ,2.453
+ ,4.387
+ ,93
+ ,13.602
+ ,6.369
+ ,11.462
+ ,104
+ ,15.350
+ ,15.968
+ ,27.083
+ ,89
+ ,13.096
+ ,4.247
+ ,7.766
+ ,100
+ ,14.720
+ ,2.579
+ ,4.601
+ ,84
+ ,12.411
+ ,7.872
+ ,13.512
+ ,80
+ ,11.793
+ ,1.640
+ ,2.913
+ ,84
+ ,12.307
+ ,6.160
+ ,10.853
+ ,91
+ ,13.376
+ ,4.989
+ ,8.554
+ ,88
+ ,12.870
+ ,3.493
+ ,5.743
+ ,79
+ ,11.667
+ ,9.952
+ ,17.728
+ ,98
+ ,14.428)
+ ,dim=c(4
+ ,589)
+ ,dimnames=list(c('Totaal'
+ ,'inwoners'
+ ,'welvaart'
+ ,'gem_ink
')
+ ,1:589))
> y <- array(NA,dim=c(4,589),dimnames=list(c('Totaal','inwoners','welvaart','gem_ink
'),1:589))
> 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'
> #'GNU S' R Code compiled by R2WASP v. 1.0.44 ()
> #Author: Prof. Dr. P. Wessa
> #To cite this work: AUTHOR(S), (YEAR), YOUR SOFTWARE TITLE (vNUMBER) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> library(lattice)
> library(lmtest)
Loading required package: zoo
Attaching package: 'zoo'
The following object(s) are masked from package:base :
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
Totaal inwoners welvaart gem_ink\r
1 8.155 14.296 133 19.573
2 278.295 469.137 94 13.804
3 7.014 12.242 117 17.224
4 9.682 16.380 100 14.634
5 6.196 10.178 111 16.378
6 21.303 37.161 122 17.943
7 15.031 26.949 109 16.013
8 12.637 21.502 126 18.559
9 9.353 17.279 99 14.479
10 5.606 9.808 107 15.726
11 4.581 8.312 138 20.202
12 9.655 17.541 113 16.608
13 14.851 26.173 123 18.126
14 11.332 20.266 122 17.923
15 4.509 8.062 117 17.127
16 8.043 14.191 107 15.687
17 14.626 24.423 118 17.389
18 5.377 9.038 102 15.016
19 10.169 18.004 114 16.792
20 8.452 14.671 116 17.073
21 4.503 7.974 113 16.639
22 10.763 19.526 131 19.183
23 19.207 33.194 114 16.816
24 10.194 17.682 118 17.296
25 5.282 8.888 112 16.470
26 7.120 12.152 111 16.367
27 10.374 18.721 100 14.764
28 7.099 12.301 113 16.530
29 11.843 20.903 118 17.395
30 11.191 18.386 116 17.027
31 6.202 10.699 104 15.346
32 8.259 14.528 130 19.150
33 11.673 20.291 114 16.731
34 9.642 16.187 113 16.555
35 23.073 38.960 105 15.444
36 20.102 33.375 111 16.238
37 47.035 79.201 106 15.607
38 12.181 21.094 104 15.305
39 9.293 15.860 108 15.866
40 9.341 16.324 114 16.778
41 4.389 7.853 109 16.071
42 11.293 19.809 111 16.360
43 13.594 23.482 105 15.369
44 6.969 12.423 95 14.026
45 1.306 2.361 94 13.780
46 11.855 20.511 102 14.993
47 9.266 16.678 108 15.892
48 4.983 8.898 100 14.749
49 21.305 35.758 108 15.835
50 6.105 10.808 110 16.087
51 16.081 26.210 108 15.796
52 4.980 8.498 103 15.190
53 8.225 14.018 103 15.153
54 10.576 19.049 98 14.458
55 5.576 9.482 105 15.360
56 10.143 18.020 106 15.584
57 8.884 15.039 104 15.207
58 8.985 15.716 105 15.432
59 5.634 9.520 106 15.552
60 4.485 8.295 101 14.851
61 19.285 33.230 106 15.557
62 6.678 11.507 108 15.858
63 7.101 12.655 112 16.401
64 7.739 14.079 95 13.941
65 5.742 10.515 98 14.427
66 6.192 10.914 95 13.912
67 24.554 39.966 103 15.194
68 4.386 7.409 103 15.146
69 5.697 10.231 120 17.576
70 13.625 23.331 109 15.960
71 55.457 98.343 75 10.980
72 16.181 29.883 107 15.669
73 11.927 20.703 99 14.554
74 79.009 147.395 76 11.237
75 21.129 42.622 81 11.836
76 19.132 34.427 86 12.651
77 27.088 48.595 87 12.749
78 13.241 21.569 97 14.227
79 41.602 78.928 88 12.897
80 26.141 44.082 93 13.602
81 10.678 18.780 82 12.059
82 42.356 82.653 65 9.496
83 23.658 45.001 69 10.126
84 11.936 23.931 55 8.100
85 59.836 114.766 72 10.518
86 39.267 76.654 110 16.101
87 13.664 24.127 113 16.628
88 25.699 48.788 102 14.940
89 19.016 38.602 114 16.719
90 6.849 12.199 118 17.379
91 16.942 29.446 116 17.066
92 12.988 23.582 120 17.652
93 1.130 2.070 112 16.435
94 22.943 39.619 123 18.074
95 2.835 4.857 99 14.546
96 4.732 8.221 116 17.085
97 5.016 8.905 119 17.517
98 20.042 34.423 127 18.613
99 20.786 35.229 111 16.257
100 3.666 6.524 114 16.746
101 5.381 10.142 120 17.593
102 6.272 11.075 125 18.415
103 5.235 8.942 120 17.629
104 6.097 13.092 119 17.446
105 4.931 8.738 127 18.693
106 7.093 12.162 110 16.149
107 2.664 4.715 123 18.125
108 10.084 17.488 117 17.217
109 7.252 12.872 102 15.044
110 10.439 18.505 135 19.792
111 8.663 15.081 116 17.012
112 7.147 12.484 119 17.443
113 12.040 24.279 123 18.024
114 2.479 4.379 122 17.955
115 6.110 10.861 116 17.069
116 9.125 17.998 135 19.777
117 17.724 31.024 107 15.756
118 6.361 11.094 126 18.557
119 8.481 14.773 120 17.659
120 21.670 38.260 104 15.314
121 8.455 14.956 125 18.294
122 6.431 13.515 119 17.543
123 15.695 29.267 111 16.322
124 12.215 21.626 129 19.020
125 16.985 28.075 112 16.459
126 5.509 9.557 112 16.453
127 3.349 5.920 104 15.257
128 5.100 9.365 123 18.042
129 5.098 9.256 128 18.799
130 6.498 11.617 129 18.907
131 4.213 7.528 125 18.364
132 13.679 22.935 108 15.869
133 3.339 5.811 102 14.936
134 2.865 5.231 111 16.293
135 7.810 13.811 118 17.378
136 10.848 19.479 131 19.293
137 3.560 6.291 119 17.547
138 5.120 9.427 122 17.955
139 4.994 9.280 121 17.780
140 6.921 12.608 142 20.906
141 4.308 7.582 105 15.361
142 10.372 18.543 125 18.361
143 8.788 14.967 112 16.471
144 55.767 92.323 118 17.289
145 4.019 7.043 111 16.299
146 7.486 13.762 131 19.288
147 5.889 10.899 138 20.228
148 8.479 15.222 120 17.668
149 13.187 22.208 107 15.654
150 9.933 20.892 120 17.612
151 5.821 10.161 113 16.607
152 19.645 32.145 110 16.143
153 7.991 13.977 115 16.870
154 4.779 8.015 106 15.506
155 3.602 6.608 117 17.222
156 21.505 37.620 120 17.653
157 5.378 9.548 113 16.574
158 3.641 6.855 119 17.439
159 5.885 11.099 126 18.449
160 5.154 9.577 112 16.437
161 7.978 14.341 114 16.700
162 6.874 12.540 126 18.500
163 1.784 3.128 107 15.673
164 2.514 4.679 111 16.298
165 3.423 6.112 114 16.739
166 7.271 12.703 107 15.671
167 3.965 7.326 123 18.075
168 7.124 14.018 139 20.448
169 3.645 6.586 117 17.116
170 15.202 24.828 115 16.931
171 4.408 7.993 107 15.695
172 16.341 30.235 103 15.135
173 4.294 7.697 110 16.126
174 3.175 5.900 105 15.462
175 5.761 10.246 104 15.242
176 11.727 21.498 124 18.159
177 13.005 22.829 97 14.226
178 5.386 9.778 113 16.536
179 3.269 6.124 121 17.751
180 14.968 29.423 116 17.095
181 18.943 32.680 114 16.706
182 8.405 14.748 104 15.282
183 12.020 18.389 97 14.314
184 70.511 117.027 108 15.823
185 6.158 10.864 102 14.918
186 7.398 13.645 108 15.843
187 21.308 34.079 133 19.477
188 12.316 22.029 106 15.514
189 11.570 19.647 101 14.889
190 11.978 22.000 100 14.699
191 1.546 2.755 107 15.663
192 9.130 15.881 90 13.183
193 5.226 9.205 87 12.722
194 4.837 8.333 92 13.448
195 6.837 12.039 91 13.358
196 1.839 3.331 81 11.891
197 4.550 8.172 83 12.135
198 20.470 34.865 95 14.030
199 4.273 7.783 88 12.938
200 560.000 990.000 78 11.519
201 11.147 19.772 90 13.197
202 2.042 3.656 80 11.769
203 10.107 17.732 92 13.462
204 6.693 12.000 91 13.413
205 7.696 14.110 102 14.966
206 5.520 9.560 98 14.371
207 6.305 11.327 101 14.797
208 15.090 26.311 99 14.607
209 43.413 73.859 103 15.168
210 7.131 12.637 99 14.599
211 3.092 5.439 99 14.556
212 18.743 32.444 91 13.417
213 1.138 2.048 92 13.573
214 20.382 35.897 103 15.112
215 17.304 30.928 99 14.517
216 13.142 23.853 102 15.022
217 9.196 15.460 102 14.965
218 7.585 12.210 108 15.926
219 6.365 11.277 96 14.100
220 7.570 13.533 92 13.539
221 11.344 18.229 96 14.117
222 45.037 69.145 100 14.636
223 5.037 8.951 98 14.354
224 5.425 9.897 97 14.217
225 5.923 10.633 97 14.182
226 15.461 26.633 101 14.775
227 5.195 9.375 94 13.745
228 4.642 8.463 97 14.254
229 6.105 10.768 93 13.704
230 32.793 56.407 102 14.965
231 6.098 11.017 88 12.996
232 5.197 9.098 96 14.140
233 4.161 8.207 93 13.727
234 6.140 11.007 92 13.545
235 4.092 7.480 94 13.881
236 3.597 6.597 94 13.777
237 2.885 5.133 95 13.903
238 10.799 19.415 100 14.672
239 4.972 9.047 94 13.876
240 7.354 13.394 93 13.654
241 2.746 4.959 83 12.205
242 6.520 10.219 95 13.968
243 13.284 21.467 130 19.027
244 6.979 11.001 98 14.375
245 6.922 11.790 93 13.589
246 47.352 78.030 111 16.324
247 10.535 17.715 112 16.442
248 11.341 19.128 117 17.130
249 18.588 31.605 105 15.498
250 10.325 17.485 115 16.868
251 9.841 16.910 112 16.509
252 9.930 17.334 114 16.678
253 21.171 36.046 109 15.940
254 5.516 9.507 109 16.023
255 14.675 24.619 116 16.998
256 8.212 14.362 107 15.734
257 8.027 13.931 114 16.803
258 25.978 43.569 107 15.730
259 13.565 23.457 98 14.362
260 6.887 11.809 115 16.899
261 10.218 17.647 107 15.704
262 5.733 10.320 118 17.368
263 14.076 23.359 109 15.985
264 6.197 11.081 110 16.216
265 11.413 20.450 97 14.246
266 7.861 13.610 104 15.291
267 12.047 19.735 101 14.832
268 3.494 6.171 106 15.632
269 12.806 22.381 99 14.592
270 3.800 6.591 99 14.513
271 7.337 12.216 102 15.027
272 10.494 18.957 108 15.910
273 5.660 10.262 139 20.393
274 16.514 28.696 108 15.806
275 9.992 17.345 120 17.691
276 18.510 32.459 110 16.126
277 6.947 12.202 113 16.593
278 145.933 236.196 105 15.391
279 4.574 7.946 99 14.576
280 11.405 20.564 115 16.838
281 5.257 9.405 118 17.358
282 6.127 10.685 116 17.048
283 12.857 22.564 121 17.845
284 3.343 5.923 108 15.888
285 6.343 11.021 113 16.618
286 6.317 11.403 108 15.841
287 7.342 13.217 114 16.701
288 4.605 8.253 152 22.269
289 4.506 7.766 103 15.095
290 4.008 6.950 109 15.959
291 4.658 8.018 105 15.367
292 8.334 14.671 102 14.979
293 8.154 13.820 109 15.964
294 1.143 2.063 109 16.059
295 3.608 6.320 101 14.833
296 4.462 8.150 108 15.813
297 3.623 6.464 110 16.226
298 3.699 6.453 107 15.782
299 17.103 28.935 109 15.996
300 13.826 24.532 87 12.736
301 3.366 6.110 111 16.249
302 3.932 6.887 108 15.901
303 4.406 7.877 111 16.343
304 25.953 45.829 111 16.337
305 8.746 15.408 107 15.747
306 21.624 38.382 101 14.822
307 10.162 18.275 105 15.374
308 41.500 70.233 102 15.004
309 9.663 17.068 103 15.127
310 15.252 26.976 105 15.430
311 16.211 27.363 100 14.706
312 7.783 13.492 90 13.274
313 6.593 11.562 86 12.680
314 1.932 3.391 94 13.775
315 3.561 6.369 96 14.067
316 3.317 5.747 101 14.888
317 1.905 3.278 100 14.654
318 6.355 11.071 95 13.995
319 5.976 10.720 85 12.529
320 8.174 14.142 83 12.240
321 117.696 201.571 78 11.433
322 20.776 35.784 78 11.482
323 17.180 29.879 85 12.512
324 6.020 11.034 70 10.226
325 12.990 22.269 87 12.840
326 9.788 16.775 84 12.384
327 6.853 12.048 114 16.795
328 5.112 8.963 106 15.607
329 12.900 22.421 84 12.274
330 6.021 10.192 115 16.905
331 9.198 16.423 102 14.971
332 6.033 10.677 102 14.946
333 11.794 20.155 79 11.629
334 11.416 20.021 74 10.941
335 9.873 16.890 83 12.123
336 12.235 20.728 86 12.630
337 3.810 6.728 84 12.331
338 2.843 5.017 95 13.905
339 4.920 9.720 105 15.369
340 2.187 4.080 97 14.254
341 53.206 91.174 89 13.011
342 10.872 18.714 78 11.447
343 4.402 7.746 102 15.029
344 3.940 6.556 83 12.215
345 13.356 22.622 93 13.643
346 9.899 17.597 82 12.015
347 30.531 53.467 84 12.336
348 11.700 20.620 102 14.933
349 5.871 10.207 99 14.506
350 7.185 12.387 109 16.084
351 44.601 77.562 83 12.134
352 4.475 7.994 102 14.971
353 10.543 18.085 94 13.874
354 4.321 8.042 110 16.202
355 14.135 25.785 96 14.079
356 6.825 11.632 82 12.102
357 3.782 6.755 87 12.798
358 19.290 32.591 87 12.713
359 5.622 9.898 79 11.559
360 5.501 9.588 82 12.085
361 4.216 7.455 93 13.627
362 2.085 3.604 81 11.893
363 7.508 13.377 114 16.791
364 3.083 5.550 101 14.790
365 2.187 4.130 83 12.129
366 2.914 5.148 75 11.016
367 11.033 18.768 85 12.556
368 2.657 4.688 84 12.363
369 8.308 14.640 102 14.943
370 4.482 7.550 88 12.947
371 4.325 7.726 88 12.937
372 3.056 5.449 91 13.430
373 5.351 9.826 90 13.216
374 7.756 13.315 93 13.721
375 1.918 3.423 95 13.997
376 2.933 5.324 92 13.548
377 9.489 16.883 82 12.087
378 2.888 5.046 91 13.368
379 40.378 68.018 94 13.788
380 7.744 13.213 92 13.543
381 2.261 4.007 104 15.341
382 1.583 2.870 104 15.319
383 2.380 4.238 96 14.168
384 3.280 5.742 86 12.691
385 2.551 4.519 96 14.045
386 2.116 3.618 93 13.695
387 2.532 4.593 100 14.646
388 12.499 20.263 93 13.722
389 2.896 5.151 95 14.021
390 2.091 3.736 103 15.122
391 3.169 5.669 118 17.390
392 1.487 2.582 97 14.321
393 1.288 2.397 102 15.047
394 1.946 3.650 105 15.422
395 3.374 6.142 99 14.491
396 7.220 12.870 101 14.792
397 16.349 27.483 94 13.826
398 4.996 8.737 105 15.358
399 6.435 11.160 95 13.886
400 4.905 8.439 97 14.201
401 6.779 11.798 91 13.363
402 7.304 12.932 106 15.569
403 11.935 20.934 123 18.061
404 3.173 5.383 88 12.898
405 3.677 6.616 108 15.890
406 7.851 13.069 113 16.556
407 14.750 24.992 89 13.136
408 9.395 16.150 94 13.751
409 12.687 21.833 86 12.615
410 22.124 37.702 82 12.102
411 4.886 8.555 107 15.728
412 112.237 189.504 85 12.439
413 5.420 9.716 127 18.611
414 13.897 23.651 96 14.067
415 13.110 22.591 79 11.556
416 36.631 61.447 81 11.932
417 8.813 15.654 97 14.234
418 7.325 13.080 107 15.725
419 4.334 7.718 97 14.213
420 9.665 16.877 92 13.573
421 2.352 4.156 99 14.498
422 2.307 4.133 97 14.318
423 8.020 14.467 75 10.952
424 9.416 16.747 99 14.597
425 4.524 8.022 107 15.685
426 1.873 3.351 90 13.158
427 3.194 5.662 91 13.312
428 6.869 11.910 92 13.571
429 2.099 3.785 118 17.363
430 5.376 9.574 90 13.211
431 5.404 9.773 88 12.967
432 6.601 10.510 96 14.036
433 3.926 6.687 91 13.386
434 1.688 3.010 101 14.849
435 6.668 11.717 102 15.051
436 2.837 5.380 104 15.237
437 1.452 2.516 90 13.255
438 31.389 54.334 82 12.019
439 3.784 6.820 89 13.004
440 5.429 9.290 96 14.109
441 2.686 5.338 83 12.250
442 2.601 5.462 79 11.634
443 1.996 3.952 82 12.084
444 2.930 5.597 82 12.070
445 9.787 18.360 98 14.437
446 5.359 10.519 84 12.291
447 2.611 5.221 93 13.664
448 5.028 10.255 97 14.230
449 4.939 9.216 93 13.589
450 1.565 2.833 104 15.294
451 3.166 5.639 102 15.010
452 1.601 2.867 110 16.195
453 1.574 2.859 111 16.338
454 1.988 3.577 110 16.218
455 1.732 3.056 104 15.233
456 1.585 2.962 105 15.403
457 8.232 14.596 105 15.455
458 1.738 3.047 104 15.335
459 2.003 3.506 105 15.366
460 2.944 5.164 109 15.965
461 3.847 6.563 91 13.437
462 8.635 14.252 104 15.286
463 1.424 2.581 94 13.821
464 4.251 7.592 99 14.599
465 23.050 41.757 92 13.570
466 10.052 17.937 105 15.437
467 35.964 64.194 89 13.023
468 4.536 7.922 103 15.160
469 5.056 8.745 103 15.070
470 5.611 9.899 101 14.853
471 43.970 71.063 112 16.460
472 6.788 11.916 105 15.395
473 17.047 31.147 93 13.713
474 8.488 14.554 96 14.071
475 7.928 13.905 104 15.311
476 3.879 6.696 99 14.577
477 5.280 9.762 97 14.269
478 23.525 38.627 103 15.102
479 9.981 17.113 107 15.785
480 11.471 20.183 103 15.061
481 3.918 6.970 101 14.859
482 6.876 12.535 89 13.140
483 8.429 14.644 97 14.210
484 10.793 19.233 91 13.345
485 7.693 13.880 90 13.157
486 6.390 11.564 95 13.934
487 16.513 30.021 89 13.091
488 6.516 12.108 89 13.021
489 17.937 32.282 95 13.927
490 13.589 24.009 96 14.072
491 6.857 12.637 95 13.908
492 9.005 16.201 96 14.170
493 7.427 13.650 95 13.993
494 9.015 15.969 97 14.200
495 6.216 11.121 105 15.470
496 17.455 30.278 98 14.327
497 6.014 10.272 101 14.778
498 3.978 6.855 98 14.356
499 56.000 84.000 117 17.213
500 5.409 9.377 100 14.699
501 4.685 8.152 104 15.302
502 14.213 24.829 101 14.801
503 20.890 36.558 86 12.655
504 8.987 16.110 96 14.140
505 17.813 29.832 101 14.853
506 2.298 4.234 93 13.651
507 4.065 7.050 102 15.047
508 14.443 26.738 119 17.495
509 2.249 4.873 122 17.969
510 8.045 15.263 97 14.211
511 883.000 1.575 95 13.964
512 3.955 7.543 118 17.334
513 7.905 14.481 88 12.997
514 1.576 3.025 85 12.454
515 1.073 2.093 103 15.123
516 2.606 4.803 82 12.043
517 2.755 4.810 87 12.748
518 1.310 2.325 85 12.544
519 2.487 4.817 87 12.844
520 4.285 7.372 89 13.091
521 6.276 10.706 86 12.697
522 1.672 2.948 86 12.667
523 2.807 5.076 83 12.150
524 2.521 4.349 82 11.993
525 1.869 3.207 89 13.102
526 9.606 17.100 88 12.948
527 2.772 5.069 88 12.984
528 1.371 2.316 83 12.213
529 1.469 2.585 90 13.150
530 4.678 8.187 88 12.989
531 3.278 5.489 85 12.427
532 778.000 1.369 86 12.563
533 893.000 1.547 87 12.718
534 2.216 4.259 93 13.676
535 2.623 4.681 92 13.554
536 5.567 10.016 95 13.897
537 3.660 6.676 90 13.240
538 2.829 5.072 84 12.327
539 3.294 5.774 90 13.250
540 1.321 2.392 89 13.019
541 1.630 2.974 83 12.255
542 2.758 5.071 91 13.297
543 2.641 5.429 111 16.308
544 3.259 5.447 87 12.801
545 4.097 7.964 108 15.891
546 1.474 2.699 92 13.533
547 2.167 4.264 97 14.205
548 1.080 2.037 86 12.631
549 1.647 3.212 107 15.668
550 1.907 3.758 91 13.332
551 5.890 11.230 91 13.326
552 4.022 6.986 90 13.196
553 4.852 8.494 84 12.410
554 1.822 3.163 81 11.949
555 8.816 15.197 93 13.641
556 7.872 13.164 88 12.950
557 2.531 4.451 84 12.384
558 3.595 6.722 96 14.121
559 3.261 5.348 84 12.326
560 2.702 4.953 90 13.197
561 2.613 4.482 90 13.232
562 1.747 3.131 90 13.190
563 6.816 12.115 85 12.550
564 2.631 4.741 87 12.772
565 1.586 2.831 76 11.231
566 4.831 8.586 101 14.830
567 14.237 24.686 89 13.061
568 3.447 6.316 110 16.146
569 8.178 14.680 106 15.568
570 3.671 6.804 104 15.311
571 4.194 7.536 103 15.095
572 5.132 9.460 92 13.511
573 12.580 22.252 110 16.091
574 3.578 6.503 102 14.943
575 10.006 18.109 94 13.848
576 4.502 8.428 113 16.629
577 6.730 12.135 93 13.637
578 64.771 107.796 100 14.749
579 2.453 4.387 93 13.602
580 6.369 11.462 104 15.350
581 15.968 27.083 89 13.096
582 4.247 7.766 100 14.720
583 2.579 4.601 84 12.411
584 7.872 13.512 80 11.793
585 1.640 2.913 84 12.307
586 6.160 10.853 91 13.376
587 4.989 8.554 88 12.870
588 3.493 5.743 79 11.667
589 9.952 17.728 98 14.428
> k <- length(x[1,])
> df <- as.data.frame(x)
> (mylm <- lm(df))
Call:
lm(formula = df)
Coefficients:
(Intercept) inwoners welvaart `gem_ink\r`
36.0532 0.5335 14.1896 -98.6667
> (mysum <- summary(mylm))
Call:
lm(formula = df)
Residuals:
Min 1Q Median 3Q Max
-23.1764 -8.5935 -4.2577 -0.1482 876.4713
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 36.05322 19.25165 1.873 0.0616 .
inwoners 0.53350 0.05096 10.469 <2e-16 ***
welvaart 14.18958 8.57765 1.654 0.0986 .
`gem_ink\r` -98.66670 58.40897 -1.689 0.0917 .
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: 60.57 on 585 degrees of freedom
Multiple R-squared: 0.1691, Adjusted R-squared: 0.1649
F-statistic: 39.69 on 3 and 585 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,] 7.532592e-07 1.506518e-06 9.999992e-01
[2,] 5.890917e-09 1.178183e-08 1.000000e+00
[3,] 5.024446e-11 1.004889e-10 1.000000e+00
[4,] 3.176764e-13 6.353528e-13 1.000000e+00
[5,] 3.507894e-15 7.015788e-15 1.000000e+00
[6,] 3.329559e-17 6.659119e-17 1.000000e+00
[7,] 3.272509e-19 6.545019e-19 1.000000e+00
[8,] 2.396383e-21 4.792766e-21 1.000000e+00
[9,] 1.844039e-23 3.688077e-23 1.000000e+00
[10,] 1.091026e-25 2.182053e-25 1.000000e+00
[11,] 1.393604e-27 2.787208e-27 1.000000e+00
[12,] 1.151508e-29 2.303015e-29 1.000000e+00
[13,] 7.972160e-32 1.594432e-31 1.000000e+00
[14,] 4.505685e-34 9.011371e-34 1.000000e+00
[15,] 2.474656e-36 4.949311e-36 1.000000e+00
[16,] 1.594931e-38 3.189861e-38 1.000000e+00
[17,] 1.138653e-40 2.277306e-40 1.000000e+00
[18,] 7.077629e-43 1.415526e-42 1.000000e+00
[19,] 6.514484e-45 1.302897e-44 1.000000e+00
[20,] 3.607511e-47 7.215022e-47 1.000000e+00
[21,] 7.714890e-49 1.542978e-48 1.000000e+00
[22,] 5.811815e-51 1.162363e-50 1.000000e+00
[23,] 3.922319e-53 7.844638e-53 1.000000e+00
[24,] 1.508931e-54 3.017862e-54 1.000000e+00
[25,] 8.693993e-57 1.738799e-56 1.000000e+00
[26,] 4.620291e-59 9.240581e-59 1.000000e+00
[27,] 2.409734e-61 4.819468e-61 1.000000e+00
[28,] 2.722274e-63 5.444549e-63 1.000000e+00
[29,] 1.823665e-65 3.647329e-65 1.000000e+00
[30,] 5.189291e-67 1.037858e-66 1.000000e+00
[31,] 3.946859e-69 7.893718e-69 1.000000e+00
[32,] 2.174696e-71 4.349392e-71 1.000000e+00
[33,] 1.256644e-73 2.513288e-73 1.000000e+00
[34,] 6.559737e-76 1.311947e-75 1.000000e+00
[35,] 3.340734e-78 6.681467e-78 1.000000e+00
[36,] 1.955718e-80 3.911436e-80 1.000000e+00
[37,] 1.013899e-82 2.027798e-82 1.000000e+00
[38,] 5.903572e-85 1.180714e-84 1.000000e+00
[39,] 3.088687e-87 6.177374e-87 1.000000e+00
[40,] 1.525423e-89 3.050846e-89 1.000000e+00
[41,] 1.371916e-91 2.743832e-91 1.000000e+00
[42,] 6.574605e-94 1.314921e-93 1.000000e+00
[43,] 6.119673e-96 1.223935e-95 1.000000e+00
[44,] 2.933361e-98 5.866723e-98 1.000000e+00
[45,] 2.624454e-99 5.248909e-99 1.000000e+00
[46,] 1.627924e-101 3.255849e-101 1.000000e+00
[47,] 8.840465e-104 1.768093e-103 1.000000e+00
[48,] 1.353018e-105 2.706036e-105 1.000000e+00
[49,] 7.196931e-108 1.439386e-107 1.000000e+00
[50,] 5.379970e-110 1.075994e-109 1.000000e+00
[51,] 2.817941e-112 5.635882e-112 1.000000e+00
[52,] 1.413753e-114 2.827507e-114 1.000000e+00
[53,] 8.518469e-117 1.703694e-116 1.000000e+00
[54,] 4.966743e-119 9.933486e-119 1.000000e+00
[55,] 2.933461e-121 5.866923e-121 1.000000e+00
[56,] 1.458059e-123 2.916118e-123 1.000000e+00
[57,] 8.235522e-126 1.647104e-125 1.000000e+00
[58,] 9.771557e-128 1.954311e-127 1.000000e+00
[59,] 5.899401e-130 1.179880e-129 1.000000e+00
[60,] 2.843758e-132 5.687516e-132 1.000000e+00
[61,] 9.617521e-132 1.923504e-131 1.000000e+00
[62,] 6.420417e-134 1.284083e-133 1.000000e+00
[63,] 3.355075e-136 6.710151e-136 1.000000e+00
[64,] 1.677662e-138 3.355324e-138 1.000000e+00
[65,] 3.592298e-131 7.184596e-131 1.000000e+00
[66,] 7.834344e-132 1.566869e-131 1.000000e+00
[67,] 5.619149e-134 1.123830e-133 1.000000e+00
[68,] 1.430916e-113 2.861831e-113 1.000000e+00
[69,] 9.446323e-114 1.889265e-113 1.000000e+00
[70,] 1.482647e-115 2.965293e-115 1.000000e+00
[71,] 2.408910e-117 4.817819e-117 1.000000e+00
[72,] 9.170315e-119 1.834063e-118 1.000000e+00
[73,] 8.304581e-118 1.660916e-117 1.000000e+00
[74,] 2.545238e-119 5.090476e-119 1.000000e+00
[75,] 7.755839e-121 1.551168e-120 1.000000e+00
[76,] 4.592259e-120 9.184518e-120 1.000000e+00
[77,] 8.350797e-122 1.670159e-121 1.000000e+00
[78,] 2.474397e-123 4.948795e-123 1.000000e+00
[79,] 4.370288e-121 8.740577e-121 1.000000e+00
[80,] 2.161561e-119 4.323122e-119 1.000000e+00
[81,] 4.845713e-121 9.691426e-121 1.000000e+00
[82,] 2.765536e-122 5.531073e-122 1.000000e+00
[83,] 9.592969e-123 1.918594e-122 1.000000e+00
[84,] 2.255732e-124 4.511465e-124 1.000000e+00
[85,] 5.075163e-126 1.015033e-125 1.000000e+00
[86,] 1.458328e-127 2.916656e-127 1.000000e+00
[87,] 3.220671e-129 6.441341e-129 1.000000e+00
[88,] 7.555226e-131 1.511045e-130 1.000000e+00
[89,] 2.061833e-132 4.123666e-132 1.000000e+00
[90,] 4.409165e-134 8.818329e-134 1.000000e+00
[91,] 9.699023e-136 1.939805e-135 1.000000e+00
[92,] 2.134464e-137 4.268928e-137 1.000000e+00
[93,] 5.053205e-139 1.010641e-138 1.000000e+00
[94,] 1.048607e-140 2.097215e-140 1.000000e+00
[95,] 2.319212e-142 4.638423e-142 1.000000e+00
[96,] 5.599683e-144 1.119937e-143 1.000000e+00
[97,] 1.144726e-145 2.289453e-145 1.000000e+00
[98,] 4.076143e-147 8.152286e-147 1.000000e+00
[99,] 9.591187e-149 1.918237e-148 1.000000e+00
[100,] 2.056822e-150 4.113644e-150 1.000000e+00
[101,] 4.443286e-152 8.886573e-152 1.000000e+00
[102,] 8.949297e-154 1.789859e-153 1.000000e+00
[103,] 1.832139e-155 3.664277e-155 1.000000e+00
[104,] 4.782063e-157 9.564127e-157 1.000000e+00
[105,] 9.464955e-159 1.892991e-158 1.000000e+00
[106,] 1.854228e-160 3.708456e-160 1.000000e+00
[107,] 1.309545e-161 2.619091e-161 1.000000e+00
[108,] 2.634743e-163 5.269486e-163 1.000000e+00
[109,] 5.176985e-165 1.035397e-164 1.000000e+00
[110,] 2.480412e-166 4.960824e-166 1.000000e+00
[111,] 4.820209e-168 9.640419e-168 1.000000e+00
[112,] 1.024893e-169 2.049786e-169 1.000000e+00
[113,] 2.008503e-171 4.017005e-171 1.000000e+00
[114,] 3.872325e-173 7.744651e-173 1.000000e+00
[115,] 7.392153e-175 1.478431e-174 1.000000e+00
[116,] 3.138779e-176 6.277557e-176 1.000000e+00
[117,] 8.185365e-178 1.637073e-177 1.000000e+00
[118,] 2.131468e-179 4.262935e-179 1.000000e+00
[119,] 5.333622e-181 1.066724e-180 1.000000e+00
[120,] 1.046753e-182 2.093506e-182 1.000000e+00
[121,] 2.346516e-184 4.693033e-184 1.000000e+00
[122,] 4.478952e-186 8.957905e-186 1.000000e+00
[123,] 9.010262e-188 1.802052e-187 1.000000e+00
[124,] 1.731615e-189 3.463230e-189 1.000000e+00
[125,] 3.258078e-191 6.516157e-191 1.000000e+00
[126,] 7.483462e-193 1.496692e-192 1.000000e+00
[127,] 1.887909e-194 3.775817e-194 1.000000e+00
[128,] 3.573356e-196 7.146713e-196 1.000000e+00
[129,] 6.619545e-198 1.323909e-197 1.000000e+00
[130,] 1.727083e-199 3.454166e-199 1.000000e+00
[131,] 3.157772e-201 6.315543e-201 1.000000e+00
[132,] 6.065895e-203 1.213179e-202 1.000000e+00
[133,] 1.125120e-204 2.250240e-204 1.000000e+00
[134,] 3.550548e-206 7.101095e-206 1.000000e+00
[135,] 7.945464e-208 1.589093e-207 1.000000e+00
[136,] 1.524889e-209 3.049779e-209 1.000000e+00
[137,] 2.858382e-211 5.716764e-211 1.000000e+00
[138,] 1.995230e-212 3.990460e-212 1.000000e+00
[139,] 3.728681e-214 7.457362e-214 1.000000e+00
[140,] 8.988442e-216 1.797688e-215 1.000000e+00
[141,] 2.009533e-217 4.019066e-217 1.000000e+00
[142,] 3.694260e-219 7.388521e-219 1.000000e+00
[143,] 9.143334e-221 1.828667e-220 1.000000e+00
[144,] 6.659445e-222 1.331889e-221 1.000000e+00
[145,] 1.196161e-223 2.392322e-223 1.000000e+00
[146,] 3.995911e-225 7.991822e-225 1.000000e+00
[147,] 7.071704e-227 1.414341e-226 1.000000e+00
[148,] 1.665598e-228 3.331195e-228 1.000000e+00
[149,] 2.882595e-230 5.765191e-230 1.000000e+00
[150,] 5.280786e-232 1.056157e-231 1.000000e+00
[151,] 9.289824e-234 1.857965e-233 1.000000e+00
[152,] 1.584229e-235 3.168459e-235 1.000000e+00
[153,] 2.914244e-237 5.828488e-237 1.000000e+00
[154,] 4.930314e-239 9.860628e-239 1.000000e+00
[155,] 8.333601e-241 1.666720e-240 1.000000e+00
[156,] 1.509395e-242 3.018791e-242 1.000000e+00
[157,] 3.034022e-244 6.068045e-244 1.000000e+00
[158,] 5.206966e-246 1.041393e-245 1.000000e+00
[159,] 8.831528e-248 1.766306e-247 1.000000e+00
[160,] 1.652853e-249 3.305706e-249 1.000000e+00
[161,] 2.789217e-251 5.578433e-251 1.000000e+00
[162,] 1.177172e-252 2.354344e-252 1.000000e+00
[163,] 1.982322e-254 3.964644e-254 1.000000e+00
[164,] 4.447241e-256 8.894481e-256 1.000000e+00
[165,] 7.717720e-258 1.543544e-257 1.000000e+00
[166,] 1.441092e-259 2.882185e-259 1.000000e+00
[167,] 2.471231e-261 4.942461e-261 1.000000e+00
[168,] 4.141893e-263 8.283786e-263 1.000000e+00
[169,] 7.517069e-265 1.503414e-264 1.000000e+00
[170,] 1.422476e-266 2.844952e-266 1.000000e+00
[171,] 2.653411e-268 5.306823e-268 1.000000e+00
[172,] 4.320318e-270 8.640636e-270 1.000000e+00
[173,] 6.867068e-272 1.373414e-271 1.000000e+00
[174,] 5.316945e-273 1.063389e-272 1.000000e+00
[175,] 8.691874e-275 1.738375e-274 1.000000e+00
[176,] 1.497243e-276 2.994486e-276 1.000000e+00
[177,] 1.121238e-277 2.242477e-277 1.000000e+00
[178,] 2.183588e-278 4.367176e-278 1.000000e+00
[179,] 4.190117e-280 8.380234e-280 1.000000e+00
[180,] 6.678780e-282 1.335756e-281 1.000000e+00
[181,] 1.813852e-283 3.627704e-283 1.000000e+00
[182,] 2.908619e-285 5.817238e-285 1.000000e+00
[183,] 5.661574e-287 1.132315e-286 1.000000e+00
[184,] 8.955902e-289 1.791180e-288 1.000000e+00
[185,] 1.637205e-290 3.274411e-290 1.000000e+00
[186,] 3.810996e-292 7.621993e-292 1.000000e+00
[187,] 9.737303e-294 1.947461e-293 1.000000e+00
[188,] 2.376261e-295 4.752522e-295 1.000000e+00
[189,] 4.823541e-297 9.647083e-297 1.000000e+00
[190,] 1.301821e-298 2.603643e-298 1.000000e+00
[191,] 3.115047e-300 6.230094e-300 1.000000e+00
[192,] 6.191167e-302 1.238233e-301 1.000000e+00
[193,] 1.176348e-303 2.352695e-303 1.000000e+00
[194,] 2.774333e-294 5.548666e-294 1.000000e+00
[195,] 5.121365e-296 1.024273e-295 1.000000e+00
[196,] 1.022060e-297 2.044120e-297 1.000000e+00
[197,] 1.924537e-299 3.849073e-299 1.000000e+00
[198,] 3.423319e-301 6.846639e-301 1.000000e+00
[199,] 5.935661e-303 1.187132e-302 1.000000e+00
[200,] 1.080726e-304 2.161451e-304 1.000000e+00
[201,] 1.875877e-306 3.751755e-306 1.000000e+00
[202,] 3.337427e-308 6.674855e-308 1.000000e+00
[203,] 1.120583e-309 2.241167e-309 1.000000e+00
[204,] 1.924300e-311 3.848599e-311 1.000000e+00
[205,] 3.341554e-313 6.683109e-313 1.000000e+00
[206,] 6.386088e-315 1.277218e-314 1.000000e+00
[207,] 1.112356e-316 2.224712e-316 1.000000e+00
[208,] 1.874925e-318 3.749850e-318 1.000000e+00
[209,] 3.140281e-320 6.280562e-320 1.000000e+00
[210,] 5.335909e-322 1.067182e-321 1.000000e+00
[211,] 9.881313e-324 1.976263e-323 1.000000e+00
[212,] 0.000000e+00 0.000000e+00 1.000000e+00
[213,] 0.000000e+00 0.000000e+00 1.000000e+00
[214,] 0.000000e+00 0.000000e+00 1.000000e+00
[215,] 0.000000e+00 0.000000e+00 1.000000e+00
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[219,] 0.000000e+00 0.000000e+00 1.000000e+00
[220,] 0.000000e+00 0.000000e+00 1.000000e+00
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[263,] 0.000000e+00 0.000000e+00 1.000000e+00
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[265,] 0.000000e+00 0.000000e+00 1.000000e+00
[266,] 0.000000e+00 0.000000e+00 1.000000e+00
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[276,] 0.000000e+00 0.000000e+00 1.000000e+00
[277,] 0.000000e+00 0.000000e+00 1.000000e+00
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[279,] 0.000000e+00 0.000000e+00 1.000000e+00
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[281,] 0.000000e+00 0.000000e+00 1.000000e+00
[282,] 0.000000e+00 0.000000e+00 1.000000e+00
[283,] 0.000000e+00 0.000000e+00 1.000000e+00
[284,] 0.000000e+00 0.000000e+00 1.000000e+00
[285,] 0.000000e+00 0.000000e+00 1.000000e+00
[286,] 0.000000e+00 0.000000e+00 1.000000e+00
[287,] 0.000000e+00 0.000000e+00 1.000000e+00
[288,] 0.000000e+00 0.000000e+00 1.000000e+00
[289,] 0.000000e+00 0.000000e+00 1.000000e+00
[290,] 0.000000e+00 0.000000e+00 1.000000e+00
[291,] 0.000000e+00 0.000000e+00 1.000000e+00
[292,] 0.000000e+00 0.000000e+00 1.000000e+00
[293,] 0.000000e+00 0.000000e+00 1.000000e+00
[294,] 0.000000e+00 0.000000e+00 1.000000e+00
[295,] 0.000000e+00 0.000000e+00 1.000000e+00
[296,] 0.000000e+00 0.000000e+00 1.000000e+00
[297,] 0.000000e+00 0.000000e+00 1.000000e+00
[298,] 0.000000e+00 0.000000e+00 1.000000e+00
[299,] 0.000000e+00 0.000000e+00 1.000000e+00
[300,] 0.000000e+00 0.000000e+00 1.000000e+00
[301,] 0.000000e+00 0.000000e+00 1.000000e+00
[302,] 0.000000e+00 0.000000e+00 1.000000e+00
[303,] 0.000000e+00 0.000000e+00 1.000000e+00
[304,] 0.000000e+00 0.000000e+00 1.000000e+00
[305,] 0.000000e+00 0.000000e+00 1.000000e+00
[306,] 0.000000e+00 0.000000e+00 1.000000e+00
[307,] 0.000000e+00 0.000000e+00 1.000000e+00
[308,] 0.000000e+00 0.000000e+00 1.000000e+00
[309,] 0.000000e+00 0.000000e+00 1.000000e+00
[310,] 0.000000e+00 0.000000e+00 1.000000e+00
[311,] 0.000000e+00 0.000000e+00 1.000000e+00
[312,] 0.000000e+00 0.000000e+00 1.000000e+00
[313,] 0.000000e+00 0.000000e+00 1.000000e+00
[314,] 0.000000e+00 0.000000e+00 1.000000e+00
[315,] 0.000000e+00 0.000000e+00 1.000000e+00
[316,] 0.000000e+00 0.000000e+00 1.000000e+00
[317,] 0.000000e+00 0.000000e+00 1.000000e+00
[318,] 0.000000e+00 0.000000e+00 1.000000e+00
[319,] 0.000000e+00 0.000000e+00 1.000000e+00
[320,] 0.000000e+00 0.000000e+00 1.000000e+00
[321,] 0.000000e+00 0.000000e+00 1.000000e+00
[322,] 0.000000e+00 0.000000e+00 1.000000e+00
[323,] 0.000000e+00 0.000000e+00 1.000000e+00
[324,] 0.000000e+00 0.000000e+00 1.000000e+00
[325,] 0.000000e+00 0.000000e+00 1.000000e+00
[326,] 0.000000e+00 0.000000e+00 1.000000e+00
[327,] 0.000000e+00 0.000000e+00 1.000000e+00
[328,] 0.000000e+00 0.000000e+00 1.000000e+00
[329,] 0.000000e+00 0.000000e+00 1.000000e+00
[330,] 0.000000e+00 0.000000e+00 1.000000e+00
[331,] 0.000000e+00 0.000000e+00 1.000000e+00
[332,] 0.000000e+00 0.000000e+00 1.000000e+00
[333,] 0.000000e+00 0.000000e+00 1.000000e+00
[334,] 0.000000e+00 0.000000e+00 1.000000e+00
[335,] 0.000000e+00 0.000000e+00 1.000000e+00
[336,] 0.000000e+00 0.000000e+00 1.000000e+00
[337,] 0.000000e+00 0.000000e+00 1.000000e+00
[338,] 0.000000e+00 0.000000e+00 1.000000e+00
[339,] 0.000000e+00 0.000000e+00 1.000000e+00
[340,] 0.000000e+00 0.000000e+00 1.000000e+00
[341,] 0.000000e+00 0.000000e+00 1.000000e+00
[342,] 0.000000e+00 0.000000e+00 1.000000e+00
[343,] 0.000000e+00 0.000000e+00 1.000000e+00
[344,] 0.000000e+00 0.000000e+00 1.000000e+00
[345,] 0.000000e+00 0.000000e+00 1.000000e+00
[346,] 0.000000e+00 0.000000e+00 1.000000e+00
[347,] 0.000000e+00 0.000000e+00 1.000000e+00
[348,] 0.000000e+00 0.000000e+00 1.000000e+00
[349,] 0.000000e+00 0.000000e+00 1.000000e+00
[350,] 0.000000e+00 0.000000e+00 1.000000e+00
[351,] 0.000000e+00 0.000000e+00 1.000000e+00
[352,] 0.000000e+00 0.000000e+00 1.000000e+00
[353,] 0.000000e+00 0.000000e+00 1.000000e+00
[354,] 0.000000e+00 0.000000e+00 1.000000e+00
[355,] 0.000000e+00 0.000000e+00 1.000000e+00
[356,] 0.000000e+00 0.000000e+00 1.000000e+00
[357,] 0.000000e+00 0.000000e+00 1.000000e+00
[358,] 0.000000e+00 0.000000e+00 1.000000e+00
[359,] 0.000000e+00 0.000000e+00 1.000000e+00
[360,] 0.000000e+00 0.000000e+00 1.000000e+00
[361,] 0.000000e+00 0.000000e+00 1.000000e+00
[362,] 0.000000e+00 0.000000e+00 1.000000e+00
[363,] 0.000000e+00 0.000000e+00 1.000000e+00
[364,] 0.000000e+00 0.000000e+00 1.000000e+00
[365,] 0.000000e+00 0.000000e+00 1.000000e+00
[366,] 0.000000e+00 0.000000e+00 1.000000e+00
[367,] 0.000000e+00 0.000000e+00 1.000000e+00
[368,] 0.000000e+00 0.000000e+00 1.000000e+00
[369,] 0.000000e+00 0.000000e+00 1.000000e+00
[370,] 0.000000e+00 0.000000e+00 1.000000e+00
[371,] 0.000000e+00 0.000000e+00 1.000000e+00
[372,] 0.000000e+00 0.000000e+00 1.000000e+00
[373,] 0.000000e+00 0.000000e+00 1.000000e+00
[374,] 0.000000e+00 0.000000e+00 1.000000e+00
[375,] 0.000000e+00 0.000000e+00 1.000000e+00
[376,] 0.000000e+00 0.000000e+00 1.000000e+00
[377,] 0.000000e+00 0.000000e+00 1.000000e+00
[378,] 0.000000e+00 0.000000e+00 1.000000e+00
[379,] 0.000000e+00 0.000000e+00 1.000000e+00
[380,] 0.000000e+00 0.000000e+00 1.000000e+00
[381,] 0.000000e+00 0.000000e+00 1.000000e+00
[382,] 0.000000e+00 0.000000e+00 1.000000e+00
[383,] 0.000000e+00 0.000000e+00 1.000000e+00
[384,] 0.000000e+00 0.000000e+00 1.000000e+00
[385,] 0.000000e+00 0.000000e+00 1.000000e+00
[386,] 0.000000e+00 0.000000e+00 1.000000e+00
[387,] 0.000000e+00 0.000000e+00 1.000000e+00
[388,] 0.000000e+00 0.000000e+00 1.000000e+00
[389,] 0.000000e+00 0.000000e+00 1.000000e+00
[390,] 0.000000e+00 0.000000e+00 1.000000e+00
[391,] 0.000000e+00 0.000000e+00 1.000000e+00
[392,] 0.000000e+00 0.000000e+00 1.000000e+00
[393,] 0.000000e+00 0.000000e+00 1.000000e+00
[394,] 0.000000e+00 0.000000e+00 1.000000e+00
[395,] 0.000000e+00 0.000000e+00 1.000000e+00
[396,] 0.000000e+00 0.000000e+00 1.000000e+00
[397,] 0.000000e+00 0.000000e+00 1.000000e+00
[398,] 0.000000e+00 0.000000e+00 1.000000e+00
[399,] 0.000000e+00 0.000000e+00 1.000000e+00
[400,] 0.000000e+00 0.000000e+00 1.000000e+00
[401,] 0.000000e+00 0.000000e+00 1.000000e+00
[402,] 0.000000e+00 0.000000e+00 1.000000e+00
[403,] 0.000000e+00 0.000000e+00 1.000000e+00
[404,] 0.000000e+00 0.000000e+00 1.000000e+00
[405,] 0.000000e+00 0.000000e+00 1.000000e+00
[406,] 0.000000e+00 0.000000e+00 1.000000e+00
[407,] 0.000000e+00 0.000000e+00 1.000000e+00
[408,] 0.000000e+00 0.000000e+00 1.000000e+00
[409,] 0.000000e+00 0.000000e+00 1.000000e+00
[410,] 0.000000e+00 0.000000e+00 1.000000e+00
[411,] 0.000000e+00 0.000000e+00 1.000000e+00
[412,] 0.000000e+00 0.000000e+00 1.000000e+00
[413,] 0.000000e+00 0.000000e+00 1.000000e+00
[414,] 0.000000e+00 0.000000e+00 1.000000e+00
[415,] 0.000000e+00 0.000000e+00 1.000000e+00
[416,] 0.000000e+00 0.000000e+00 1.000000e+00
[417,] 0.000000e+00 0.000000e+00 1.000000e+00
[418,] 0.000000e+00 0.000000e+00 1.000000e+00
[419,] 0.000000e+00 0.000000e+00 1.000000e+00
[420,] 0.000000e+00 0.000000e+00 1.000000e+00
[421,] 0.000000e+00 0.000000e+00 1.000000e+00
[422,] 0.000000e+00 0.000000e+00 1.000000e+00
[423,] 0.000000e+00 0.000000e+00 1.000000e+00
[424,] 0.000000e+00 0.000000e+00 1.000000e+00
[425,] 0.000000e+00 0.000000e+00 1.000000e+00
[426,] 0.000000e+00 0.000000e+00 1.000000e+00
[427,] 0.000000e+00 0.000000e+00 1.000000e+00
[428,] 0.000000e+00 0.000000e+00 1.000000e+00
[429,] 0.000000e+00 0.000000e+00 1.000000e+00
[430,] 0.000000e+00 0.000000e+00 1.000000e+00
[431,] 0.000000e+00 0.000000e+00 1.000000e+00
[432,] 0.000000e+00 0.000000e+00 1.000000e+00
[433,] 0.000000e+00 0.000000e+00 1.000000e+00
[434,] 0.000000e+00 0.000000e+00 1.000000e+00
[435,] 0.000000e+00 0.000000e+00 1.000000e+00
[436,] 0.000000e+00 0.000000e+00 1.000000e+00
[437,] 0.000000e+00 0.000000e+00 1.000000e+00
[438,] 0.000000e+00 0.000000e+00 1.000000e+00
[439,] 0.000000e+00 0.000000e+00 1.000000e+00
[440,] 0.000000e+00 0.000000e+00 1.000000e+00
[441,] 0.000000e+00 0.000000e+00 1.000000e+00
[442,] 0.000000e+00 0.000000e+00 1.000000e+00
[443,] 0.000000e+00 0.000000e+00 1.000000e+00
[444,] 0.000000e+00 0.000000e+00 1.000000e+00
[445,] 0.000000e+00 0.000000e+00 1.000000e+00
[446,] 0.000000e+00 0.000000e+00 1.000000e+00
[447,] 0.000000e+00 0.000000e+00 1.000000e+00
[448,] 0.000000e+00 0.000000e+00 1.000000e+00
[449,] 0.000000e+00 0.000000e+00 1.000000e+00
[450,] 0.000000e+00 0.000000e+00 1.000000e+00
[451,] 0.000000e+00 0.000000e+00 1.000000e+00
[452,] 0.000000e+00 0.000000e+00 1.000000e+00
[453,] 0.000000e+00 0.000000e+00 1.000000e+00
[454,] 0.000000e+00 0.000000e+00 1.000000e+00
[455,] 0.000000e+00 0.000000e+00 1.000000e+00
[456,] 0.000000e+00 0.000000e+00 1.000000e+00
[457,] 0.000000e+00 0.000000e+00 1.000000e+00
[458,] 0.000000e+00 0.000000e+00 1.000000e+00
[459,] 0.000000e+00 0.000000e+00 1.000000e+00
[460,] 0.000000e+00 0.000000e+00 1.000000e+00
[461,] 0.000000e+00 0.000000e+00 1.000000e+00
[462,] 0.000000e+00 0.000000e+00 1.000000e+00
[463,] 0.000000e+00 0.000000e+00 1.000000e+00
[464,] 0.000000e+00 0.000000e+00 1.000000e+00
[465,] 0.000000e+00 0.000000e+00 1.000000e+00
[466,] 0.000000e+00 0.000000e+00 1.000000e+00
[467,] 0.000000e+00 0.000000e+00 1.000000e+00
[468,] 0.000000e+00 0.000000e+00 1.000000e+00
[469,] 0.000000e+00 0.000000e+00 1.000000e+00
[470,] 0.000000e+00 0.000000e+00 1.000000e+00
[471,] 0.000000e+00 0.000000e+00 1.000000e+00
[472,] 0.000000e+00 0.000000e+00 1.000000e+00
[473,] 0.000000e+00 0.000000e+00 1.000000e+00
[474,] 0.000000e+00 0.000000e+00 1.000000e+00
[475,] 0.000000e+00 0.000000e+00 1.000000e+00
[476,] 0.000000e+00 0.000000e+00 1.000000e+00
[477,] 0.000000e+00 0.000000e+00 1.000000e+00
[478,] 0.000000e+00 0.000000e+00 1.000000e+00
[479,] 0.000000e+00 0.000000e+00 1.000000e+00
[480,] 0.000000e+00 0.000000e+00 1.000000e+00
[481,] 0.000000e+00 0.000000e+00 1.000000e+00
[482,] 0.000000e+00 0.000000e+00 1.000000e+00
[483,] 0.000000e+00 0.000000e+00 1.000000e+00
[484,] 0.000000e+00 0.000000e+00 1.000000e+00
[485,] 0.000000e+00 0.000000e+00 1.000000e+00
[486,] 0.000000e+00 0.000000e+00 1.000000e+00
[487,] 0.000000e+00 0.000000e+00 1.000000e+00
[488,] 0.000000e+00 0.000000e+00 1.000000e+00
[489,] 0.000000e+00 0.000000e+00 1.000000e+00
[490,] 0.000000e+00 0.000000e+00 1.000000e+00
[491,] 0.000000e+00 0.000000e+00 1.000000e+00
[492,] 0.000000e+00 0.000000e+00 1.000000e+00
[493,] 0.000000e+00 0.000000e+00 1.000000e+00
[494,] 0.000000e+00 0.000000e+00 1.000000e+00
[495,] 0.000000e+00 0.000000e+00 1.000000e+00
[496,] 0.000000e+00 0.000000e+00 1.000000e+00
[497,] 0.000000e+00 0.000000e+00 1.000000e+00
[498,] 0.000000e+00 0.000000e+00 1.000000e+00
[499,] 0.000000e+00 0.000000e+00 1.000000e+00
[500,] 0.000000e+00 0.000000e+00 1.000000e+00
[501,] 0.000000e+00 0.000000e+00 1.000000e+00
[502,] 0.000000e+00 0.000000e+00 1.000000e+00
[503,] 0.000000e+00 0.000000e+00 1.000000e+00
[504,] 0.000000e+00 0.000000e+00 1.000000e+00
[505,] 2.214401e-67 4.428802e-67 1.000000e+00
[506,] 7.465581e-68 1.493116e-67 1.000000e+00
[507,] 2.473496e-68 4.946991e-68 1.000000e+00
[508,] 1.290618e-68 2.581236e-68 1.000000e+00
[509,] 3.785678e-69 7.571355e-69 1.000000e+00
[510,] 1.499277e-69 2.998555e-69 1.000000e+00
[511,] 7.503248e-70 1.500650e-69 1.000000e+00
[512,] 2.179510e-70 4.359021e-70 1.000000e+00
[513,] 6.586168e-71 1.317234e-70 1.000000e+00
[514,] 1.913064e-71 3.826127e-71 1.000000e+00
[515,] 5.654130e-72 1.130826e-71 1.000000e+00
[516,] 1.575255e-72 3.150510e-72 1.000000e+00
[517,] 1.211956e-72 2.423912e-72 1.000000e+00
[518,] 1.517707e-72 3.035414e-72 1.000000e+00
[519,] 4.146659e-73 8.293318e-73 1.000000e+00
[520,] 1.160395e-73 2.320789e-73 1.000000e+00
[521,] 3.255026e-74 6.510053e-74 1.000000e+00
[522,] 9.959524e-75 1.991905e-74 1.000000e+00
[523,] 1.414577e-74 2.829154e-74 1.000000e+00
[524,] 4.080413e-75 8.160825e-75 1.000000e+00
[525,] 8.479807e-75 1.695961e-74 1.000000e+00
[526,] 6.030996e-25 1.206199e-24 1.000000e+00
[527,] 1.000000e+00 2.707954e-121 1.353977e-121
[528,] 1.000000e+00 9.199342e-119 4.599671e-119
[529,] 1.000000e+00 2.454403e-116 1.227202e-116
[530,] 1.000000e+00 6.898294e-114 3.449147e-114
[531,] 1.000000e+00 2.160068e-111 1.080034e-111
[532,] 1.000000e+00 6.992105e-109 3.496053e-109
[533,] 1.000000e+00 1.932026e-106 9.660132e-107
[534,] 1.000000e+00 4.849570e-104 2.424785e-104
[535,] 1.000000e+00 1.524778e-101 7.623892e-102
[536,] 1.000000e+00 4.827657e-99 2.413828e-99
[537,] 1.000000e+00 1.507211e-96 7.536054e-97
[538,] 1.000000e+00 2.406110e-94 1.203055e-94
[539,] 1.000000e+00 5.985939e-92 2.992969e-92
[540,] 1.000000e+00 1.257432e-89 6.287161e-90
[541,] 1.000000e+00 3.856379e-87 1.928189e-87
[542,] 1.000000e+00 1.036964e-84 5.184821e-85
[543,] 1.000000e+00 1.488756e-82 7.443781e-83
[544,] 1.000000e+00 4.437535e-80 2.218767e-80
[545,] 1.000000e+00 2.399356e-79 1.199678e-79
[546,] 1.000000e+00 7.093273e-77 3.546637e-77
[547,] 1.000000e+00 2.293084e-74 1.146542e-74
[548,] 1.000000e+00 6.391683e-72 3.195841e-72
[549,] 1.000000e+00 2.018376e-69 1.009188e-69
[550,] 1.000000e+00 3.414601e-67 1.707301e-67
[551,] 1.000000e+00 9.434516e-65 4.717258e-65
[552,] 1.000000e+00 2.845469e-62 1.422735e-62
[553,] 1.000000e+00 3.937164e-60 1.968582e-60
[554,] 1.000000e+00 1.192682e-57 5.963411e-58
[555,] 1.000000e+00 1.763345e-55 8.816724e-56
[556,] 1.000000e+00 3.550326e-53 1.775163e-53
[557,] 1.000000e+00 7.130529e-51 3.565264e-51
[558,] 1.000000e+00 2.005242e-48 1.002621e-48
[559,] 1.000000e+00 5.640158e-46 2.820079e-46
[560,] 1.000000e+00 1.307685e-43 6.538427e-44
[561,] 1.000000e+00 1.186298e-41 5.931492e-42
[562,] 1.000000e+00 1.502606e-39 7.513030e-40
[563,] 1.000000e+00 4.142390e-37 2.071195e-37
[564,] 1.000000e+00 9.328551e-35 4.664275e-35
[565,] 1.000000e+00 1.767472e-32 8.837361e-33
[566,] 1.000000e+00 3.432838e-30 1.716419e-30
[567,] 1.000000e+00 5.332257e-28 2.666128e-28
[568,] 1.000000e+00 1.249985e-25 6.249926e-26
[569,] 1.000000e+00 1.223713e-24 6.118566e-25
[570,] 1.000000e+00 2.827164e-22 1.413582e-22
[571,] 1.000000e+00 3.358738e-20 1.679369e-20
[572,] 1.000000e+00 9.960217e-19 4.980108e-19
[573,] 1.000000e+00 4.918272e-16 2.459136e-16
[574,] 1.000000e+00 1.840632e-13 9.203161e-14
[575,] 1.000000e+00 1.425178e-11 7.125889e-12
[576,] 1.000000e+00 7.480532e-09 3.740266e-09
> postscript(file="/var/www/html/freestat/rcomp/tmp/1fedx1293645852.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$resid)
> grid()
> dev.off()
null device
1
> postscript(file="/var/www/html/freestat/rcomp/tmp/28oc01293645852.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> plot(mysum$resid, type='b', pch=19, main='Residuals', ylab='value of Residuals', xlab='time or index')
> grid()
> dev.off()
null device
1
> postscript(file="/var/www/html/freestat/rcomp/tmp/38oc01293645852.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> hist(mysum$resid, main='Residual Histogram', xlab='values of Residuals')
> grid()
> dev.off()
null device
1
> postscript(file="/var/www/html/freestat/rcomp/tmp/48oc01293645852.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> densityplot(~mysum$resid,col='black',main='Residual Density Plot', xlab='values of Residuals')
> dev.off()
null device
1
> postscript(file="/var/www/html/freestat/rcomp/tmp/58oc01293645852.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 = 589
Frequency = 1
1 2 3 4 5
8.464328e+00 2.013082e+01 3.684305e+00 -1.017926e+01 5.632891e+00
6 7 8 9 10
4.672424e+00 -2.113670e+00 8.380918e+00 -1.209164e+01 -2.332091e+00
11 12 13 14 15
-8.037254e-01 -5.221019e-01 7.948979e+00 1.741616e+00 -6.161324e+00
16 17 18 19 20
-6.081434e+00 6.888138e+00 -1.255763e+00 3.709982e+00 3.117333e+00
21 22 23 24 25
2.488585e+00 -1.818748e+00 7.012078e+00 -3.123524e+00 2.948687e-01
26 27 28 29 30
4.418424e+00 2.090478e+00 -7.978551e+00 6.575067e+00 -6.642968e-01
31 32 33 34 35
2.863945e+00 9.277274e+00 -2.024807e+00 -5.042074e+00 1.373882e-01
36 37 38 39 40
-6.650105e+00 4.523806e+00 -7.481487e-01 -2.250088e+00 2.396932e+00
41 42 43 44 45
3.154763e+00 3.815728e+00 -8.484061e+00 1.773405e-01 -1.019999e+01
46 47 48 49 50
-3.167972e+00 -1.481587e-01 4.600735e-01 -3.912389e+00 -9.316647e+00
51 52 53 54 55
-7.890508e+00 1.613757e+00 -1.736845e+00 3.046343e-01 -9.921026e+00
56 57 58 59 60
-1.997308e+00 -1.048413e+01 -2.733878e+00 -5.128870e+00 -3.841798e+00
61 62 63 64 65
-3.633882e+00 -3.332085e+00 -6.703837e+00 -8.322809e+00 -3.035122e+00
66 67 68 69 70
-1.104261e+01 4.794165e+00 -2.740594e+00 -4.397875e+00 -6.818793e+00
71 72 73 74 75
-1.392042e+01 -8.091156e+00 -3.944353e+00 -5.370021e+00 -1.919989e+01
76 77 78 79 80
-7.359364e+00 -1.148227e+01 -6.977222e+00 -1.273791e+01 -1.099634e+01
81 82 83 84 85
-9.118026e+00 -2.317637e+01 -1.638522e+01 -1.811097e+01 -2.131841e+01
86 87 88 89 90
-9.902323e+00 1.946584e+00 -9.639159e+00 -5.634773e+00 4.646007e+00
91 92 93 94 95
3.034166e+00 3.269001e+00 -3.673045e+00 3.736835e+00 -5.371805e+00
96 97 98 99 100
4.022425e+00 3.996791e+00 3.095573e-02 -5.080552e+00 -1.207077e+00
101 102 103 104 105
-2.989060e+00 7.560322e+00 1.057145e+00 -4.161320e+00 6.516305e+00
106 107 108 109 110
-2.933674e+00 7.111210e+00 3.264884e+00 1.336456e+00 1.731668e+00
111 112 113 114 115
-2.909071e+00 -3.082950e+00 -3.915570e+00 4.521706e+00 2.413311e+00
116 117 118 119 120
-7.918462e-01 1.427120e+00 7.460279e+00 4.152292e+00 4.707465e-01
121 122 123 124 125
-4.265872e+00 5.517678e+00 -5.774741e-01 1.080938e+01 6.762213e-01
126 127 128 129 130
-1.512378e+00 -6.220782e+00 -1.122912e+00 2.676043e+00 -7.171300e-01
131 132 133 134 135
2.361654e+00 -1.342618e+00 -9.465486e+00 -3.445541e+00 4.648334e+00
136 137 138 139 140
9.144664e+00 6.895368e+00 4.469585e+00 1.344915e+00 1.194739e+01
141 142 143 144 145
-1.007670e+01 2.348123e+00 6.563733e-01 1.937644e+00 -2.666247e+00
146 147 148 149 150
8.339364e+00 1.689438e+00 4.798750e+00 -8.470525e+00 -2.297545e+00
151 152 153 154 155
-5.175196e-01 -1.634656e+00 -2.813178e+00 -9.719617e+00 3.080725e+00
156 157 158 159 160
4.395359e+00 -3.889484e+00 -3.980531e+00 -3.674392e+00 -3.456716e+00
161 162 163 164 165
-5.604135e+00 1.577833e+00 -7.819628e+00 -3.008714e+00 -1.920941e+00
166 167 168 169 170
-7.638249e+00 2.085900e+00 8.777539e+00 -7.323208e+00 4.627454e+00
171 172 173 174 175
-5.620451e+00 -4.048657e+00 -5.619919e+00 -3.470164e-01 -7.596715e+00
176 177 178 179 180
-3.614473e+00 -7.984102e+00 -7.753524e+00 -1.557685e+00 3.933771e+00
181 182 183 184 185
-3.831038e+00 -3.407875e+00 2.082319e+00 7.523901e-01 -1.111827e+01
186 187 188 189 190
-5.232714e+00 1.591044e+00 -8.869788e+00 9.362148e-01 -4.468212e+00
191 192 193 194 195
-8.845299e+00 -1.173465e+01 -1.499360e+01 -1.423325e+01 -8.900840e+00
196 197 198 199 200
-1.210137e+01 -1.627754e+01 2.100143e+00 -8.065534e+00 2.553390e+01
201 202 203 204 205
-1.041218e+01 -9.919521e+00 -1.259631e+01 -3.597365e+00 -6.576023e+00
206 207 208 209 210
-8.272962e+00 -8.967380e+00 1.456099e+00 3.005828e+00 2.879939e-03
211 212 213 214 215
-4.438637e+00 -2.059624e+00 -2.245853e+00 -5.297683e+00 -7.673085e+00
216 217 218 219 220
-8.026034e-01 -5.894918e+00 3.909198e+00 -6.703507e+00 -5.295797e+00
221 222 223 224 225
-3.756083e+00 -2.777192e+00 -1.010839e+01 -9.552847e+00 -1.290084e+01
226 227 228 229 230
-1.014784e+01 -1.350631e+01 -5.920137e+00 -3.195235e+00 -4.143248e+00
231 232 233 234 235
-2.243213e+00 -2.762337e+00 -1.503601e+00 -4.786170e+00 -1.796502e-01
236 237 238 239 240
-1.046490e+01 -1.215343e+01 -6.932109e+00 -6.289822e-01 -8.280547e+00
241 242 243 244 245
-9.460726e+00 -4.818488e+00 -1.535704e+00 -7.188073e+00 -1.427014e+01
246 247 248 249 250
5.261674e+00 -1.924026e+00 -4.937063e+00 4.904301e+00 -2.548039e+00
251 252 253 254 255
4.422112e+00 -7.419575e+00 -8.029612e+00 -1.336652e+00 -3.366953e+00
256 257 258 259 260
-1.366328e+00 4.826271e+00 4.229960e-01 -8.530048e+00 1.007894e-01
261 262 263 264 265
-4.072885e+00 3.447124e+00 -3.916064e+00 3.357711e+00 -6.333565e+00
266 267 268 269 270
-2.456749e+00 -4.257735e+00 2.411166e+00 -2.112360e-01 -8.587899e+00
271 272 273 274 275
9.409951e-02 1.639989e+00 3.890707e+00 -7.797128e+00 7.448458e+00
276 277 278 279 280
-4.614510e+00 -1.861732e+00 1.254214e+01 -2.320794e+00 -6.070694e+00
281 282 283 284 285
2.472612e+00 4.522071e-01 8.534202e+00 -7.280054e-01 6.310018e-01
286 287 288 289 290
-5.314934e+00 -5.541811e+00 4.541734e+00 -7.843056e+00 -7.795154e+00
291 292 293 294 295
-9.367311e+00 -4.954651e+00 -6.820983e+00 1.813743e+00 -5.441131e+00
296 297 298 299 300
-8.197118e+00 4.233559e+00 3.076145e+00 -2.778540e+00 -1.318926e+01
301 302 303 304 305
-7.754824e+00 6.293652e-01 1.617146e+00 2.324657e+00 -1.077044e-01
306 307 308 309 310
-5.615624e+00 -8.644780e+00 1.035547e+00 -4.491362e+00 -2.671451e+00
311 312 313 314 315
-2.405719e+00 -2.828444e+00 -4.838494e+00 -1.061683e+01 -1.014508e+01
316 317 318 319 320
2.338463e-04 -8.992978e+00 -2.774032e+00 -5.715379e+00 -5.478546e+00
321 322 323 324 325
-4.626538e+00 -8.264079e+00 -6.410088e+00 -2.022465e+01 -2.556611e+00
326 327 328 329 330
-5.250831e+00 3.867523e+00 7.295919e-02 -1.600432e+01 6.894633e-01
331 332 333 334 335
-5.814681e+00 -8.380842e+00 -8.593540e+00 -5.834853e+00 -1.678961e+01
336 337 338 339 340
-9.019913e+00 -1.109807e+01 -1.193621e+01 -9.815999e+00 -6.036795e+00
341 342 343 344 345
-1.060875e+01 -1.251452e+01 -2.588106e-01 -8.132063e+00 -8.287043e+00
346 347 348 349 350
-1.360723e+01 -8.819109e+00 -9.301126e+00 -9.136712e+00 4.814530e+00
351 352 353 354 355
-1.334495e+01 -6.040788e+00 -7.711183e-02 1.721691e+00 -8.745563e+00
356 357 358 359 360
-4.914882e+00 -7.631854e+00 -1.429410e+01 -1.620007e+01 -6.825736e+00
361 362 363 364 365
-1.091408e+01 -1.180369e+01 3.418831e+00 -9.798002e+00 -1.707612e+01
366 367 368 369 370
-1.319164e+01 -2.288007e+00 -8.005386e+00 -8.516113e+00 -6.844228e+00
371 372 373 374 375
-8.081791e+00 -2.062056e+00 -9.027292e+00 -1.225732e+00 -2.933471e+00
376 377 378 379 380
-4.665275e+00 -6.532304e+00 -8.132389e+00 -5.366831e+00 -4.556410e+00
381 382 383 384 385
1.999811e+00 -2.422642e-01 -2.238471e-01 -3.961175e+00 -1.233876e+01
386 387 388 389 390
-4.257692e+00 -9.856868e+00 -9.084125e-02 -5.093623e-01 -5.444040e+00
391 392 393 394 395
5.535112e+00 6.730607e-01 1.256895e+00 -4.322303e+00 -1.094502e+01
396 397 398 399 400
-9.368908e+00 -4.020970e+00 -1.030090e+01 -1.349618e+01 -1.087367e+01
401 402 403 404 405
-8.336932e+00 -3.601847e+00 1.414664e+00 -1.183180e+01 -5.663892e-01
406 407 408 409 410
-5.070947e+00 -1.423151e+00 -1.232879e+01 -1.063743e+01 -3.524293e+00
411 412 413 414 415
-2.186279e+00 -3.716105e+00 -1.607130e+00 -9.029069e+00 -1.577982e+01
416 417 418 419 420
-4.269073e+00 -7.558887e+00 -2.457378e+00 -9.876012e+00 -1.630162e+00
421 422 423 424 425
-1.021682e+01 3.695981e-01 -1.937202e+01 -1.021490e-01 -6.506590e+00
426 427 428 429 430
-1.477353e+01 -1.368036e+01 -1.973588e+00 2.806230e+00 -9.361183e+00
431 432 433 434 435
-5.134870e+00 -1.237298e+01 -6.193866e+00 -4.016571e+00 2.059318e+00
436 437 438 439 440
-8.418025e+00 -5.178387e+00 -1.132184e+01 -1.571835e+01 -5.691437e+00
441 442 443 444 445
-5.282922e+00 -9.454454e+00 -7.422582e+00 -8.747528e+00 -2.188783e+00
446 447 448 449 450
-1.551824e+01 -7.676564e+00 -8.858174e+00 -1.487991e+01 -2.707192e+00
451 452 453 454 455
-2.245388e+00 1.071900e+00 9.689288e-01 3.349447e+00 -8.677832e+00
456 457 458 459 460
-6.190921e+00 -6.200216e-01 1.396973e+00 -9.713814e+00 -7.314318e+00
461 462 463 464 465
-1.174711e+00 -2.518591e+00 -6.154023e+00 -1.855996e-01 -1.814706e+00
466 467 468 469 470
-2.358454e+00 -1.227286e+01 -1.482947e+00 -1.028202e+01 -3.374203e+00
471 472 473 474 475
4.825680e+00 -6.554237e+00 -2.237483e+00 -9.190129e+00 -5.737986e-01
476 477 478 479 480
-2.250249e+00 -4.495156e+00 -4.597812e+00 3.967008e+00 -1.085722e+01
481 482 483 484 485
-2.912574e+00 -2.256643e+00 -9.772051e+00 -1.006552e+01 -1.466945e+01
486 487 488 489 490
-9.020717e+00 -6.783137e+00 -1.413017e+01 -9.217490e+00 -9.034729e+00
491 492 493 494 495
-1.169150e+01 2.161951e-01 -3.275268e+00 -1.087961e+01 6.979003e-01
496 497 498 499 500
-1.173240e+01 -1.057020e+01 -9.851838e+00 1.330189e+01 -4.302809e+00
501 502 503 504 505
-1.635559e+00 -7.868065e+00 -6.343591e+00 -2.713257e+00 -1.806510e+00
506 507 508 509 510
-8.745664e+00 1.551508e+00 1.739173e+00 5.409489e+00 -1.038762e+01
511 512 513 514 515
8.758784e+02 -2.040067e-01 -2.185599e+00 -1.341008e+01 -5.486828e+00
516 517 518 519 520
-1.131193e+01 -1.255453e+01 -4.422624e+00 -3.354258e+00 -6.927837e+00
521 522 523 524 525
-3.021482e+00 -6.446570e+00 -1.488881e+01 -1.608805e+01 -6.036465e+00
526 527 528 529 530
-6.716511e+00 -3.579940e+00 -8.636345e+00 -1.555820e+01 -2.844068e+00
531 532 533 534 535
-1.568663e+01 7.604625e+02 8.764713e+02 -6.374334e+00 -4.040232e+00
536 537 538 539 540
-1.266852e+01 -6.669758e+00 -1.159025e+01 -5.567872e+00 -1.433900e+01
541 542 543 544 545
-4.584389e+00 -1.528106e+01 -2.295174e+00 -7.161032e+00 -7.668840e-01
546 547 548 549 550
-6.203831e+00 -1.098963e+01 -1.010455e+01 -8.494776e+00 -1.197824e+01
551 552 553 554 555
-1.257357e+01 -1.081448e+01 -3.203562e+00 -6.306076e+00 -9.063120e+00
556 557 558 559 560
-6.153311e+00 -5.932945e+00 -4.971402e+00 -1.140417e+01 -1.095120e+01
561 562 563 564 565
-7.335587e+00 -1.162483e+01 -3.547614e+00 -1.027371e+01 -6.259756e+00
566 567 568 569 570
-5.723048e+00 -9.172901e+00 -3.756818e+00 -3.759076e+00 -1.042397e+00
571 572 573 574 575
-8.032350e+00 -8.323509e+00 -8.552383e+00 -8.905003e+00 -3.192250e+00
576 577 578 579 580
1.258708e+00 -9.910202e+00 7.485737e+00 -1.350696e+01 3.018549e+00
581 582 583 584 585
-5.267373e+00 -2.533336e+00 -3.300970e+00 -6.979721e+00 -1.360075e+01
586 587 588 589
-7.169105e+00 -1.447020e+01 -5.456367e+00 -2.574610e+00
> postscript(file="/var/www/html/freestat/rcomp/tmp/60xbl1293645852.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 = 589
Frequency = 1
lag(myerror, k = 1) myerror
0 8.464328e+00 NA
1 2.013082e+01 8.464328e+00
2 3.684305e+00 2.013082e+01
3 -1.017926e+01 3.684305e+00
4 5.632891e+00 -1.017926e+01
5 4.672424e+00 5.632891e+00
6 -2.113670e+00 4.672424e+00
7 8.380918e+00 -2.113670e+00
8 -1.209164e+01 8.380918e+00
9 -2.332091e+00 -1.209164e+01
10 -8.037254e-01 -2.332091e+00
11 -5.221019e-01 -8.037254e-01
12 7.948979e+00 -5.221019e-01
13 1.741616e+00 7.948979e+00
14 -6.161324e+00 1.741616e+00
15 -6.081434e+00 -6.161324e+00
16 6.888138e+00 -6.081434e+00
17 -1.255763e+00 6.888138e+00
18 3.709982e+00 -1.255763e+00
19 3.117333e+00 3.709982e+00
20 2.488585e+00 3.117333e+00
21 -1.818748e+00 2.488585e+00
22 7.012078e+00 -1.818748e+00
23 -3.123524e+00 7.012078e+00
24 2.948687e-01 -3.123524e+00
25 4.418424e+00 2.948687e-01
26 2.090478e+00 4.418424e+00
27 -7.978551e+00 2.090478e+00
28 6.575067e+00 -7.978551e+00
29 -6.642968e-01 6.575067e+00
30 2.863945e+00 -6.642968e-01
31 9.277274e+00 2.863945e+00
32 -2.024807e+00 9.277274e+00
33 -5.042074e+00 -2.024807e+00
34 1.373882e-01 -5.042074e+00
35 -6.650105e+00 1.373882e-01
36 4.523806e+00 -6.650105e+00
37 -7.481487e-01 4.523806e+00
38 -2.250088e+00 -7.481487e-01
39 2.396932e+00 -2.250088e+00
40 3.154763e+00 2.396932e+00
41 3.815728e+00 3.154763e+00
42 -8.484061e+00 3.815728e+00
43 1.773405e-01 -8.484061e+00
44 -1.019999e+01 1.773405e-01
45 -3.167972e+00 -1.019999e+01
46 -1.481587e-01 -3.167972e+00
47 4.600735e-01 -1.481587e-01
48 -3.912389e+00 4.600735e-01
49 -9.316647e+00 -3.912389e+00
50 -7.890508e+00 -9.316647e+00
51 1.613757e+00 -7.890508e+00
52 -1.736845e+00 1.613757e+00
53 3.046343e-01 -1.736845e+00
54 -9.921026e+00 3.046343e-01
55 -1.997308e+00 -9.921026e+00
56 -1.048413e+01 -1.997308e+00
57 -2.733878e+00 -1.048413e+01
58 -5.128870e+00 -2.733878e+00
59 -3.841798e+00 -5.128870e+00
60 -3.633882e+00 -3.841798e+00
61 -3.332085e+00 -3.633882e+00
62 -6.703837e+00 -3.332085e+00
63 -8.322809e+00 -6.703837e+00
64 -3.035122e+00 -8.322809e+00
65 -1.104261e+01 -3.035122e+00
66 4.794165e+00 -1.104261e+01
67 -2.740594e+00 4.794165e+00
68 -4.397875e+00 -2.740594e+00
69 -6.818793e+00 -4.397875e+00
70 -1.392042e+01 -6.818793e+00
71 -8.091156e+00 -1.392042e+01
72 -3.944353e+00 -8.091156e+00
73 -5.370021e+00 -3.944353e+00
74 -1.919989e+01 -5.370021e+00
75 -7.359364e+00 -1.919989e+01
76 -1.148227e+01 -7.359364e+00
77 -6.977222e+00 -1.148227e+01
78 -1.273791e+01 -6.977222e+00
79 -1.099634e+01 -1.273791e+01
80 -9.118026e+00 -1.099634e+01
81 -2.317637e+01 -9.118026e+00
82 -1.638522e+01 -2.317637e+01
83 -1.811097e+01 -1.638522e+01
84 -2.131841e+01 -1.811097e+01
85 -9.902323e+00 -2.131841e+01
86 1.946584e+00 -9.902323e+00
87 -9.639159e+00 1.946584e+00
88 -5.634773e+00 -9.639159e+00
89 4.646007e+00 -5.634773e+00
90 3.034166e+00 4.646007e+00
91 3.269001e+00 3.034166e+00
92 -3.673045e+00 3.269001e+00
93 3.736835e+00 -3.673045e+00
94 -5.371805e+00 3.736835e+00
95 4.022425e+00 -5.371805e+00
96 3.996791e+00 4.022425e+00
97 3.095573e-02 3.996791e+00
98 -5.080552e+00 3.095573e-02
99 -1.207077e+00 -5.080552e+00
100 -2.989060e+00 -1.207077e+00
101 7.560322e+00 -2.989060e+00
102 1.057145e+00 7.560322e+00
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516 -1.255453e+01 -1.131193e+01
517 -4.422624e+00 -1.255453e+01
518 -3.354258e+00 -4.422624e+00
519 -6.927837e+00 -3.354258e+00
520 -3.021482e+00 -6.927837e+00
521 -6.446570e+00 -3.021482e+00
522 -1.488881e+01 -6.446570e+00
523 -1.608805e+01 -1.488881e+01
524 -6.036465e+00 -1.608805e+01
525 -6.716511e+00 -6.036465e+00
526 -3.579940e+00 -6.716511e+00
527 -8.636345e+00 -3.579940e+00
528 -1.555820e+01 -8.636345e+00
529 -2.844068e+00 -1.555820e+01
530 -1.568663e+01 -2.844068e+00
531 7.604625e+02 -1.568663e+01
532 8.764713e+02 7.604625e+02
533 -6.374334e+00 8.764713e+02
534 -4.040232e+00 -6.374334e+00
535 -1.266852e+01 -4.040232e+00
536 -6.669758e+00 -1.266852e+01
537 -1.159025e+01 -6.669758e+00
538 -5.567872e+00 -1.159025e+01
539 -1.433900e+01 -5.567872e+00
540 -4.584389e+00 -1.433900e+01
541 -1.528106e+01 -4.584389e+00
542 -2.295174e+00 -1.528106e+01
543 -7.161032e+00 -2.295174e+00
544 -7.668840e-01 -7.161032e+00
545 -6.203831e+00 -7.668840e-01
546 -1.098963e+01 -6.203831e+00
547 -1.010455e+01 -1.098963e+01
548 -8.494776e+00 -1.010455e+01
549 -1.197824e+01 -8.494776e+00
550 -1.257357e+01 -1.197824e+01
551 -1.081448e+01 -1.257357e+01
552 -3.203562e+00 -1.081448e+01
553 -6.306076e+00 -3.203562e+00
554 -9.063120e+00 -6.306076e+00
555 -6.153311e+00 -9.063120e+00
556 -5.932945e+00 -6.153311e+00
557 -4.971402e+00 -5.932945e+00
558 -1.140417e+01 -4.971402e+00
559 -1.095120e+01 -1.140417e+01
560 -7.335587e+00 -1.095120e+01
561 -1.162483e+01 -7.335587e+00
562 -3.547614e+00 -1.162483e+01
563 -1.027371e+01 -3.547614e+00
564 -6.259756e+00 -1.027371e+01
565 -5.723048e+00 -6.259756e+00
566 -9.172901e+00 -5.723048e+00
567 -3.756818e+00 -9.172901e+00
568 -3.759076e+00 -3.756818e+00
569 -1.042397e+00 -3.759076e+00
570 -8.032350e+00 -1.042397e+00
571 -8.323509e+00 -8.032350e+00
572 -8.552383e+00 -8.323509e+00
573 -8.905003e+00 -8.552383e+00
574 -3.192250e+00 -8.905003e+00
575 1.258708e+00 -3.192250e+00
576 -9.910202e+00 1.258708e+00
577 7.485737e+00 -9.910202e+00
578 -1.350696e+01 7.485737e+00
579 3.018549e+00 -1.350696e+01
580 -5.267373e+00 3.018549e+00
581 -2.533336e+00 -5.267373e+00
582 -3.300970e+00 -2.533336e+00
583 -6.979721e+00 -3.300970e+00
584 -1.360075e+01 -6.979721e+00
585 -7.169105e+00 -1.360075e+01
586 -1.447020e+01 -7.169105e+00
587 -5.456367e+00 -1.447020e+01
588 -2.574610e+00 -5.456367e+00
589 NA -2.574610e+00
> dum1 <- dum[2:length(myerror),]
> dum1
lag(myerror, k = 1) myerror
[1,] 2.013082e+01 8.464328e+00
[2,] 3.684305e+00 2.013082e+01
[3,] -1.017926e+01 3.684305e+00
[4,] 5.632891e+00 -1.017926e+01
[5,] 4.672424e+00 5.632891e+00
[6,] -2.113670e+00 4.672424e+00
[7,] 8.380918e+00 -2.113670e+00
[8,] -1.209164e+01 8.380918e+00
[9,] -2.332091e+00 -1.209164e+01
[10,] -8.037254e-01 -2.332091e+00
[11,] -5.221019e-01 -8.037254e-01
[12,] 7.948979e+00 -5.221019e-01
[13,] 1.741616e+00 7.948979e+00
[14,] -6.161324e+00 1.741616e+00
[15,] -6.081434e+00 -6.161324e+00
[16,] 6.888138e+00 -6.081434e+00
[17,] -1.255763e+00 6.888138e+00
[18,] 3.709982e+00 -1.255763e+00
[19,] 3.117333e+00 3.709982e+00
[20,] 2.488585e+00 3.117333e+00
[21,] -1.818748e+00 2.488585e+00
[22,] 7.012078e+00 -1.818748e+00
[23,] -3.123524e+00 7.012078e+00
[24,] 2.948687e-01 -3.123524e+00
[25,] 4.418424e+00 2.948687e-01
[26,] 2.090478e+00 4.418424e+00
[27,] -7.978551e+00 2.090478e+00
[28,] 6.575067e+00 -7.978551e+00
[29,] -6.642968e-01 6.575067e+00
[30,] 2.863945e+00 -6.642968e-01
[31,] 9.277274e+00 2.863945e+00
[32,] -2.024807e+00 9.277274e+00
[33,] -5.042074e+00 -2.024807e+00
[34,] 1.373882e-01 -5.042074e+00
[35,] -6.650105e+00 1.373882e-01
[36,] 4.523806e+00 -6.650105e+00
[37,] -7.481487e-01 4.523806e+00
[38,] -2.250088e+00 -7.481487e-01
[39,] 2.396932e+00 -2.250088e+00
[40,] 3.154763e+00 2.396932e+00
[41,] 3.815728e+00 3.154763e+00
[42,] -8.484061e+00 3.815728e+00
[43,] 1.773405e-01 -8.484061e+00
[44,] -1.019999e+01 1.773405e-01
[45,] -3.167972e+00 -1.019999e+01
[46,] -1.481587e-01 -3.167972e+00
[47,] 4.600735e-01 -1.481587e-01
[48,] -3.912389e+00 4.600735e-01
[49,] -9.316647e+00 -3.912389e+00
[50,] -7.890508e+00 -9.316647e+00
[51,] 1.613757e+00 -7.890508e+00
[52,] -1.736845e+00 1.613757e+00
[53,] 3.046343e-01 -1.736845e+00
[54,] -9.921026e+00 3.046343e-01
[55,] -1.997308e+00 -9.921026e+00
[56,] -1.048413e+01 -1.997308e+00
[57,] -2.733878e+00 -1.048413e+01
[58,] -5.128870e+00 -2.733878e+00
[59,] -3.841798e+00 -5.128870e+00
[60,] -3.633882e+00 -3.841798e+00
[61,] -3.332085e+00 -3.633882e+00
[62,] -6.703837e+00 -3.332085e+00
[63,] -8.322809e+00 -6.703837e+00
[64,] -3.035122e+00 -8.322809e+00
[65,] -1.104261e+01 -3.035122e+00
[66,] 4.794165e+00 -1.104261e+01
[67,] -2.740594e+00 4.794165e+00
[68,] -4.397875e+00 -2.740594e+00
[69,] -6.818793e+00 -4.397875e+00
[70,] -1.392042e+01 -6.818793e+00
[71,] -8.091156e+00 -1.392042e+01
[72,] -3.944353e+00 -8.091156e+00
[73,] -5.370021e+00 -3.944353e+00
[74,] -1.919989e+01 -5.370021e+00
[75,] -7.359364e+00 -1.919989e+01
[76,] -1.148227e+01 -7.359364e+00
[77,] -6.977222e+00 -1.148227e+01
[78,] -1.273791e+01 -6.977222e+00
[79,] -1.099634e+01 -1.273791e+01
[80,] -9.118026e+00 -1.099634e+01
[81,] -2.317637e+01 -9.118026e+00
[82,] -1.638522e+01 -2.317637e+01
[83,] -1.811097e+01 -1.638522e+01
[84,] -2.131841e+01 -1.811097e+01
[85,] -9.902323e+00 -2.131841e+01
[86,] 1.946584e+00 -9.902323e+00
[87,] -9.639159e+00 1.946584e+00
[88,] -5.634773e+00 -9.639159e+00
[89,] 4.646007e+00 -5.634773e+00
[90,] 3.034166e+00 4.646007e+00
[91,] 3.269001e+00 3.034166e+00
[92,] -3.673045e+00 3.269001e+00
[93,] 3.736835e+00 -3.673045e+00
[94,] -5.371805e+00 3.736835e+00
[95,] 4.022425e+00 -5.371805e+00
[96,] 3.996791e+00 4.022425e+00
[97,] 3.095573e-02 3.996791e+00
[98,] -5.080552e+00 3.095573e-02
[99,] -1.207077e+00 -5.080552e+00
[100,] -2.989060e+00 -1.207077e+00
[101,] 7.560322e+00 -2.989060e+00
[102,] 1.057145e+00 7.560322e+00
[103,] -4.161320e+00 1.057145e+00
[104,] 6.516305e+00 -4.161320e+00
[105,] -2.933674e+00 6.516305e+00
[106,] 7.111210e+00 -2.933674e+00
[107,] 3.264884e+00 7.111210e+00
[108,] 1.336456e+00 3.264884e+00
[109,] 1.731668e+00 1.336456e+00
[110,] -2.909071e+00 1.731668e+00
[111,] -3.082950e+00 -2.909071e+00
[112,] -3.915570e+00 -3.082950e+00
[113,] 4.521706e+00 -3.915570e+00
[114,] 2.413311e+00 4.521706e+00
[115,] -7.918462e-01 2.413311e+00
[116,] 1.427120e+00 -7.918462e-01
[117,] 7.460279e+00 1.427120e+00
[118,] 4.152292e+00 7.460279e+00
[119,] 4.707465e-01 4.152292e+00
[120,] -4.265872e+00 4.707465e-01
[121,] 5.517678e+00 -4.265872e+00
[122,] -5.774741e-01 5.517678e+00
[123,] 1.080938e+01 -5.774741e-01
[124,] 6.762213e-01 1.080938e+01
[125,] -1.512378e+00 6.762213e-01
[126,] -6.220782e+00 -1.512378e+00
[127,] -1.122912e+00 -6.220782e+00
[128,] 2.676043e+00 -1.122912e+00
[129,] -7.171300e-01 2.676043e+00
[130,] 2.361654e+00 -7.171300e-01
[131,] -1.342618e+00 2.361654e+00
[132,] -9.465486e+00 -1.342618e+00
[133,] -3.445541e+00 -9.465486e+00
[134,] 4.648334e+00 -3.445541e+00
[135,] 9.144664e+00 4.648334e+00
[136,] 6.895368e+00 9.144664e+00
[137,] 4.469585e+00 6.895368e+00
[138,] 1.344915e+00 4.469585e+00
[139,] 1.194739e+01 1.344915e+00
[140,] -1.007670e+01 1.194739e+01
[141,] 2.348123e+00 -1.007670e+01
[142,] 6.563733e-01 2.348123e+00
[143,] 1.937644e+00 6.563733e-01
[144,] -2.666247e+00 1.937644e+00
[145,] 8.339364e+00 -2.666247e+00
[146,] 1.689438e+00 8.339364e+00
[147,] 4.798750e+00 1.689438e+00
[148,] -8.470525e+00 4.798750e+00
[149,] -2.297545e+00 -8.470525e+00
[150,] -5.175196e-01 -2.297545e+00
[151,] -1.634656e+00 -5.175196e-01
[152,] -2.813178e+00 -1.634656e+00
[153,] -9.719617e+00 -2.813178e+00
[154,] 3.080725e+00 -9.719617e+00
[155,] 4.395359e+00 3.080725e+00
[156,] -3.889484e+00 4.395359e+00
[157,] -3.980531e+00 -3.889484e+00
[158,] -3.674392e+00 -3.980531e+00
[159,] -3.456716e+00 -3.674392e+00
[160,] -5.604135e+00 -3.456716e+00
[161,] 1.577833e+00 -5.604135e+00
[162,] -7.819628e+00 1.577833e+00
[163,] -3.008714e+00 -7.819628e+00
[164,] -1.920941e+00 -3.008714e+00
[165,] -7.638249e+00 -1.920941e+00
[166,] 2.085900e+00 -7.638249e+00
[167,] 8.777539e+00 2.085900e+00
[168,] -7.323208e+00 8.777539e+00
[169,] 4.627454e+00 -7.323208e+00
[170,] -5.620451e+00 4.627454e+00
[171,] -4.048657e+00 -5.620451e+00
[172,] -5.619919e+00 -4.048657e+00
[173,] -3.470164e-01 -5.619919e+00
[174,] -7.596715e+00 -3.470164e-01
[175,] -3.614473e+00 -7.596715e+00
[176,] -7.984102e+00 -3.614473e+00
[177,] -7.753524e+00 -7.984102e+00
[178,] -1.557685e+00 -7.753524e+00
[179,] 3.933771e+00 -1.557685e+00
[180,] -3.831038e+00 3.933771e+00
[181,] -3.407875e+00 -3.831038e+00
[182,] 2.082319e+00 -3.407875e+00
[183,] 7.523901e-01 2.082319e+00
[184,] -1.111827e+01 7.523901e-01
[185,] -5.232714e+00 -1.111827e+01
[186,] 1.591044e+00 -5.232714e+00
[187,] -8.869788e+00 1.591044e+00
[188,] 9.362148e-01 -8.869788e+00
[189,] -4.468212e+00 9.362148e-01
[190,] -8.845299e+00 -4.468212e+00
[191,] -1.173465e+01 -8.845299e+00
[192,] -1.499360e+01 -1.173465e+01
[193,] -1.423325e+01 -1.499360e+01
[194,] -8.900840e+00 -1.423325e+01
[195,] -1.210137e+01 -8.900840e+00
[196,] -1.627754e+01 -1.210137e+01
[197,] 2.100143e+00 -1.627754e+01
[198,] -8.065534e+00 2.100143e+00
[199,] 2.553390e+01 -8.065534e+00
[200,] -1.041218e+01 2.553390e+01
[201,] -9.919521e+00 -1.041218e+01
[202,] -1.259631e+01 -9.919521e+00
[203,] -3.597365e+00 -1.259631e+01
[204,] -6.576023e+00 -3.597365e+00
[205,] -8.272962e+00 -6.576023e+00
[206,] -8.967380e+00 -8.272962e+00
[207,] 1.456099e+00 -8.967380e+00
[208,] 3.005828e+00 1.456099e+00
[209,] 2.879939e-03 3.005828e+00
[210,] -4.438637e+00 2.879939e-03
[211,] -2.059624e+00 -4.438637e+00
[212,] -2.245853e+00 -2.059624e+00
[213,] -5.297683e+00 -2.245853e+00
[214,] -7.673085e+00 -5.297683e+00
[215,] -8.026034e-01 -7.673085e+00
[216,] -5.894918e+00 -8.026034e-01
[217,] 3.909198e+00 -5.894918e+00
[218,] -6.703507e+00 3.909198e+00
[219,] -5.295797e+00 -6.703507e+00
[220,] -3.756083e+00 -5.295797e+00
[221,] -2.777192e+00 -3.756083e+00
[222,] -1.010839e+01 -2.777192e+00
[223,] -9.552847e+00 -1.010839e+01
[224,] -1.290084e+01 -9.552847e+00
[225,] -1.014784e+01 -1.290084e+01
[226,] -1.350631e+01 -1.014784e+01
[227,] -5.920137e+00 -1.350631e+01
[228,] -3.195235e+00 -5.920137e+00
[229,] -4.143248e+00 -3.195235e+00
[230,] -2.243213e+00 -4.143248e+00
[231,] -2.762337e+00 -2.243213e+00
[232,] -1.503601e+00 -2.762337e+00
[233,] -4.786170e+00 -1.503601e+00
[234,] -1.796502e-01 -4.786170e+00
[235,] -1.046490e+01 -1.796502e-01
[236,] -1.215343e+01 -1.046490e+01
[237,] -6.932109e+00 -1.215343e+01
[238,] -6.289822e-01 -6.932109e+00
[239,] -8.280547e+00 -6.289822e-01
[240,] -9.460726e+00 -8.280547e+00
[241,] -4.818488e+00 -9.460726e+00
[242,] -1.535704e+00 -4.818488e+00
[243,] -7.188073e+00 -1.535704e+00
[244,] -1.427014e+01 -7.188073e+00
[245,] 5.261674e+00 -1.427014e+01
[246,] -1.924026e+00 5.261674e+00
[247,] -4.937063e+00 -1.924026e+00
[248,] 4.904301e+00 -4.937063e+00
[249,] -2.548039e+00 4.904301e+00
[250,] 4.422112e+00 -2.548039e+00
[251,] -7.419575e+00 4.422112e+00
[252,] -8.029612e+00 -7.419575e+00
[253,] -1.336652e+00 -8.029612e+00
[254,] -3.366953e+00 -1.336652e+00
[255,] -1.366328e+00 -3.366953e+00
[256,] 4.826271e+00 -1.366328e+00
[257,] 4.229960e-01 4.826271e+00
[258,] -8.530048e+00 4.229960e-01
[259,] 1.007894e-01 -8.530048e+00
[260,] -4.072885e+00 1.007894e-01
[261,] 3.447124e+00 -4.072885e+00
[262,] -3.916064e+00 3.447124e+00
[263,] 3.357711e+00 -3.916064e+00
[264,] -6.333565e+00 3.357711e+00
[265,] -2.456749e+00 -6.333565e+00
[266,] -4.257735e+00 -2.456749e+00
[267,] 2.411166e+00 -4.257735e+00
[268,] -2.112360e-01 2.411166e+00
[269,] -8.587899e+00 -2.112360e-01
[270,] 9.409951e-02 -8.587899e+00
[271,] 1.639989e+00 9.409951e-02
[272,] 3.890707e+00 1.639989e+00
[273,] -7.797128e+00 3.890707e+00
[274,] 7.448458e+00 -7.797128e+00
[275,] -4.614510e+00 7.448458e+00
[276,] -1.861732e+00 -4.614510e+00
[277,] 1.254214e+01 -1.861732e+00
[278,] -2.320794e+00 1.254214e+01
[279,] -6.070694e+00 -2.320794e+00
[280,] 2.472612e+00 -6.070694e+00
[281,] 4.522071e-01 2.472612e+00
[282,] 8.534202e+00 4.522071e-01
[283,] -7.280054e-01 8.534202e+00
[284,] 6.310018e-01 -7.280054e-01
[285,] -5.314934e+00 6.310018e-01
[286,] -5.541811e+00 -5.314934e+00
[287,] 4.541734e+00 -5.541811e+00
[288,] -7.843056e+00 4.541734e+00
[289,] -7.795154e+00 -7.843056e+00
[290,] -9.367311e+00 -7.795154e+00
[291,] -4.954651e+00 -9.367311e+00
[292,] -6.820983e+00 -4.954651e+00
[293,] 1.813743e+00 -6.820983e+00
[294,] -5.441131e+00 1.813743e+00
[295,] -8.197118e+00 -5.441131e+00
[296,] 4.233559e+00 -8.197118e+00
[297,] 3.076145e+00 4.233559e+00
[298,] -2.778540e+00 3.076145e+00
[299,] -1.318926e+01 -2.778540e+00
[300,] -7.754824e+00 -1.318926e+01
[301,] 6.293652e-01 -7.754824e+00
[302,] 1.617146e+00 6.293652e-01
[303,] 2.324657e+00 1.617146e+00
[304,] -1.077044e-01 2.324657e+00
[305,] -5.615624e+00 -1.077044e-01
[306,] -8.644780e+00 -5.615624e+00
[307,] 1.035547e+00 -8.644780e+00
[308,] -4.491362e+00 1.035547e+00
[309,] -2.671451e+00 -4.491362e+00
[310,] -2.405719e+00 -2.671451e+00
[311,] -2.828444e+00 -2.405719e+00
[312,] -4.838494e+00 -2.828444e+00
[313,] -1.061683e+01 -4.838494e+00
[314,] -1.014508e+01 -1.061683e+01
[315,] 2.338463e-04 -1.014508e+01
[316,] -8.992978e+00 2.338463e-04
[317,] -2.774032e+00 -8.992978e+00
[318,] -5.715379e+00 -2.774032e+00
[319,] -5.478546e+00 -5.715379e+00
[320,] -4.626538e+00 -5.478546e+00
[321,] -8.264079e+00 -4.626538e+00
[322,] -6.410088e+00 -8.264079e+00
[323,] -2.022465e+01 -6.410088e+00
[324,] -2.556611e+00 -2.022465e+01
[325,] -5.250831e+00 -2.556611e+00
[326,] 3.867523e+00 -5.250831e+00
[327,] 7.295919e-02 3.867523e+00
[328,] -1.600432e+01 7.295919e-02
[329,] 6.894633e-01 -1.600432e+01
[330,] -5.814681e+00 6.894633e-01
[331,] -8.380842e+00 -5.814681e+00
[332,] -8.593540e+00 -8.380842e+00
[333,] -5.834853e+00 -8.593540e+00
[334,] -1.678961e+01 -5.834853e+00
[335,] -9.019913e+00 -1.678961e+01
[336,] -1.109807e+01 -9.019913e+00
[337,] -1.193621e+01 -1.109807e+01
[338,] -9.815999e+00 -1.193621e+01
[339,] -6.036795e+00 -9.815999e+00
[340,] -1.060875e+01 -6.036795e+00
[341,] -1.251452e+01 -1.060875e+01
[342,] -2.588106e-01 -1.251452e+01
[343,] -8.132063e+00 -2.588106e-01
[344,] -8.287043e+00 -8.132063e+00
[345,] -1.360723e+01 -8.287043e+00
[346,] -8.819109e+00 -1.360723e+01
[347,] -9.301126e+00 -8.819109e+00
[348,] -9.136712e+00 -9.301126e+00
[349,] 4.814530e+00 -9.136712e+00
[350,] -1.334495e+01 4.814530e+00
[351,] -6.040788e+00 -1.334495e+01
[352,] -7.711183e-02 -6.040788e+00
[353,] 1.721691e+00 -7.711183e-02
[354,] -8.745563e+00 1.721691e+00
[355,] -4.914882e+00 -8.745563e+00
[356,] -7.631854e+00 -4.914882e+00
[357,] -1.429410e+01 -7.631854e+00
[358,] -1.620007e+01 -1.429410e+01
[359,] -6.825736e+00 -1.620007e+01
[360,] -1.091408e+01 -6.825736e+00
[361,] -1.180369e+01 -1.091408e+01
[362,] 3.418831e+00 -1.180369e+01
[363,] -9.798002e+00 3.418831e+00
[364,] -1.707612e+01 -9.798002e+00
[365,] -1.319164e+01 -1.707612e+01
[366,] -2.288007e+00 -1.319164e+01
[367,] -8.005386e+00 -2.288007e+00
[368,] -8.516113e+00 -8.005386e+00
[369,] -6.844228e+00 -8.516113e+00
[370,] -8.081791e+00 -6.844228e+00
[371,] -2.062056e+00 -8.081791e+00
[372,] -9.027292e+00 -2.062056e+00
[373,] -1.225732e+00 -9.027292e+00
[374,] -2.933471e+00 -1.225732e+00
[375,] -4.665275e+00 -2.933471e+00
[376,] -6.532304e+00 -4.665275e+00
[377,] -8.132389e+00 -6.532304e+00
[378,] -5.366831e+00 -8.132389e+00
[379,] -4.556410e+00 -5.366831e+00
[380,] 1.999811e+00 -4.556410e+00
[381,] -2.422642e-01 1.999811e+00
[382,] -2.238471e-01 -2.422642e-01
[383,] -3.961175e+00 -2.238471e-01
[384,] -1.233876e+01 -3.961175e+00
[385,] -4.257692e+00 -1.233876e+01
[386,] -9.856868e+00 -4.257692e+00
[387,] -9.084125e-02 -9.856868e+00
[388,] -5.093623e-01 -9.084125e-02
[389,] -5.444040e+00 -5.093623e-01
[390,] 5.535112e+00 -5.444040e+00
[391,] 6.730607e-01 5.535112e+00
[392,] 1.256895e+00 6.730607e-01
[393,] -4.322303e+00 1.256895e+00
[394,] -1.094502e+01 -4.322303e+00
[395,] -9.368908e+00 -1.094502e+01
[396,] -4.020970e+00 -9.368908e+00
[397,] -1.030090e+01 -4.020970e+00
[398,] -1.349618e+01 -1.030090e+01
[399,] -1.087367e+01 -1.349618e+01
[400,] -8.336932e+00 -1.087367e+01
[401,] -3.601847e+00 -8.336932e+00
[402,] 1.414664e+00 -3.601847e+00
[403,] -1.183180e+01 1.414664e+00
[404,] -5.663892e-01 -1.183180e+01
[405,] -5.070947e+00 -5.663892e-01
[406,] -1.423151e+00 -5.070947e+00
[407,] -1.232879e+01 -1.423151e+00
[408,] -1.063743e+01 -1.232879e+01
[409,] -3.524293e+00 -1.063743e+01
[410,] -2.186279e+00 -3.524293e+00
[411,] -3.716105e+00 -2.186279e+00
[412,] -1.607130e+00 -3.716105e+00
[413,] -9.029069e+00 -1.607130e+00
[414,] -1.577982e+01 -9.029069e+00
[415,] -4.269073e+00 -1.577982e+01
[416,] -7.558887e+00 -4.269073e+00
[417,] -2.457378e+00 -7.558887e+00
[418,] -9.876012e+00 -2.457378e+00
[419,] -1.630162e+00 -9.876012e+00
[420,] -1.021682e+01 -1.630162e+00
[421,] 3.695981e-01 -1.021682e+01
[422,] -1.937202e+01 3.695981e-01
[423,] -1.021490e-01 -1.937202e+01
[424,] -6.506590e+00 -1.021490e-01
[425,] -1.477353e+01 -6.506590e+00
[426,] -1.368036e+01 -1.477353e+01
[427,] -1.973588e+00 -1.368036e+01
[428,] 2.806230e+00 -1.973588e+00
[429,] -9.361183e+00 2.806230e+00
[430,] -5.134870e+00 -9.361183e+00
[431,] -1.237298e+01 -5.134870e+00
[432,] -6.193866e+00 -1.237298e+01
[433,] -4.016571e+00 -6.193866e+00
[434,] 2.059318e+00 -4.016571e+00
[435,] -8.418025e+00 2.059318e+00
[436,] -5.178387e+00 -8.418025e+00
[437,] -1.132184e+01 -5.178387e+00
[438,] -1.571835e+01 -1.132184e+01
[439,] -5.691437e+00 -1.571835e+01
[440,] -5.282922e+00 -5.691437e+00
[441,] -9.454454e+00 -5.282922e+00
[442,] -7.422582e+00 -9.454454e+00
[443,] -8.747528e+00 -7.422582e+00
[444,] -2.188783e+00 -8.747528e+00
[445,] -1.551824e+01 -2.188783e+00
[446,] -7.676564e+00 -1.551824e+01
[447,] -8.858174e+00 -7.676564e+00
[448,] -1.487991e+01 -8.858174e+00
[449,] -2.707192e+00 -1.487991e+01
[450,] -2.245388e+00 -2.707192e+00
[451,] 1.071900e+00 -2.245388e+00
[452,] 9.689288e-01 1.071900e+00
[453,] 3.349447e+00 9.689288e-01
[454,] -8.677832e+00 3.349447e+00
[455,] -6.190921e+00 -8.677832e+00
[456,] -6.200216e-01 -6.190921e+00
[457,] 1.396973e+00 -6.200216e-01
[458,] -9.713814e+00 1.396973e+00
[459,] -7.314318e+00 -9.713814e+00
[460,] -1.174711e+00 -7.314318e+00
[461,] -2.518591e+00 -1.174711e+00
[462,] -6.154023e+00 -2.518591e+00
[463,] -1.855996e-01 -6.154023e+00
[464,] -1.814706e+00 -1.855996e-01
[465,] -2.358454e+00 -1.814706e+00
[466,] -1.227286e+01 -2.358454e+00
[467,] -1.482947e+00 -1.227286e+01
[468,] -1.028202e+01 -1.482947e+00
[469,] -3.374203e+00 -1.028202e+01
[470,] 4.825680e+00 -3.374203e+00
[471,] -6.554237e+00 4.825680e+00
[472,] -2.237483e+00 -6.554237e+00
[473,] -9.190129e+00 -2.237483e+00
[474,] -5.737986e-01 -9.190129e+00
[475,] -2.250249e+00 -5.737986e-01
[476,] -4.495156e+00 -2.250249e+00
[477,] -4.597812e+00 -4.495156e+00
[478,] 3.967008e+00 -4.597812e+00
[479,] -1.085722e+01 3.967008e+00
[480,] -2.912574e+00 -1.085722e+01
[481,] -2.256643e+00 -2.912574e+00
[482,] -9.772051e+00 -2.256643e+00
[483,] -1.006552e+01 -9.772051e+00
[484,] -1.466945e+01 -1.006552e+01
[485,] -9.020717e+00 -1.466945e+01
[486,] -6.783137e+00 -9.020717e+00
[487,] -1.413017e+01 -6.783137e+00
[488,] -9.217490e+00 -1.413017e+01
[489,] -9.034729e+00 -9.217490e+00
[490,] -1.169150e+01 -9.034729e+00
[491,] 2.161951e-01 -1.169150e+01
[492,] -3.275268e+00 2.161951e-01
[493,] -1.087961e+01 -3.275268e+00
[494,] 6.979003e-01 -1.087961e+01
[495,] -1.173240e+01 6.979003e-01
[496,] -1.057020e+01 -1.173240e+01
[497,] -9.851838e+00 -1.057020e+01
[498,] 1.330189e+01 -9.851838e+00
[499,] -4.302809e+00 1.330189e+01
[500,] -1.635559e+00 -4.302809e+00
[501,] -7.868065e+00 -1.635559e+00
[502,] -6.343591e+00 -7.868065e+00
[503,] -2.713257e+00 -6.343591e+00
[504,] -1.806510e+00 -2.713257e+00
[505,] -8.745664e+00 -1.806510e+00
[506,] 1.551508e+00 -8.745664e+00
[507,] 1.739173e+00 1.551508e+00
[508,] 5.409489e+00 1.739173e+00
[509,] -1.038762e+01 5.409489e+00
[510,] 8.758784e+02 -1.038762e+01
[511,] -2.040067e-01 8.758784e+02
[512,] -2.185599e+00 -2.040067e-01
[513,] -1.341008e+01 -2.185599e+00
[514,] -5.486828e+00 -1.341008e+01
[515,] -1.131193e+01 -5.486828e+00
[516,] -1.255453e+01 -1.131193e+01
[517,] -4.422624e+00 -1.255453e+01
[518,] -3.354258e+00 -4.422624e+00
[519,] -6.927837e+00 -3.354258e+00
[520,] -3.021482e+00 -6.927837e+00
[521,] -6.446570e+00 -3.021482e+00
[522,] -1.488881e+01 -6.446570e+00
[523,] -1.608805e+01 -1.488881e+01
[524,] -6.036465e+00 -1.608805e+01
[525,] -6.716511e+00 -6.036465e+00
[526,] -3.579940e+00 -6.716511e+00
[527,] -8.636345e+00 -3.579940e+00
[528,] -1.555820e+01 -8.636345e+00
[529,] -2.844068e+00 -1.555820e+01
[530,] -1.568663e+01 -2.844068e+00
[531,] 7.604625e+02 -1.568663e+01
[532,] 8.764713e+02 7.604625e+02
[533,] -6.374334e+00 8.764713e+02
[534,] -4.040232e+00 -6.374334e+00
[535,] -1.266852e+01 -4.040232e+00
[536,] -6.669758e+00 -1.266852e+01
[537,] -1.159025e+01 -6.669758e+00
[538,] -5.567872e+00 -1.159025e+01
[539,] -1.433900e+01 -5.567872e+00
[540,] -4.584389e+00 -1.433900e+01
[541,] -1.528106e+01 -4.584389e+00
[542,] -2.295174e+00 -1.528106e+01
[543,] -7.161032e+00 -2.295174e+00
[544,] -7.668840e-01 -7.161032e+00
[545,] -6.203831e+00 -7.668840e-01
[546,] -1.098963e+01 -6.203831e+00
[547,] -1.010455e+01 -1.098963e+01
[548,] -8.494776e+00 -1.010455e+01
[549,] -1.197824e+01 -8.494776e+00
[550,] -1.257357e+01 -1.197824e+01
[551,] -1.081448e+01 -1.257357e+01
[552,] -3.203562e+00 -1.081448e+01
[553,] -6.306076e+00 -3.203562e+00
[554,] -9.063120e+00 -6.306076e+00
[555,] -6.153311e+00 -9.063120e+00
[556,] -5.932945e+00 -6.153311e+00
[557,] -4.971402e+00 -5.932945e+00
[558,] -1.140417e+01 -4.971402e+00
[559,] -1.095120e+01 -1.140417e+01
[560,] -7.335587e+00 -1.095120e+01
[561,] -1.162483e+01 -7.335587e+00
[562,] -3.547614e+00 -1.162483e+01
[563,] -1.027371e+01 -3.547614e+00
[564,] -6.259756e+00 -1.027371e+01
[565,] -5.723048e+00 -6.259756e+00
[566,] -9.172901e+00 -5.723048e+00
[567,] -3.756818e+00 -9.172901e+00
[568,] -3.759076e+00 -3.756818e+00
[569,] -1.042397e+00 -3.759076e+00
[570,] -8.032350e+00 -1.042397e+00
[571,] -8.323509e+00 -8.032350e+00
[572,] -8.552383e+00 -8.323509e+00
[573,] -8.905003e+00 -8.552383e+00
[574,] -3.192250e+00 -8.905003e+00
[575,] 1.258708e+00 -3.192250e+00
[576,] -9.910202e+00 1.258708e+00
[577,] 7.485737e+00 -9.910202e+00
[578,] -1.350696e+01 7.485737e+00
[579,] 3.018549e+00 -1.350696e+01
[580,] -5.267373e+00 3.018549e+00
[581,] -2.533336e+00 -5.267373e+00
[582,] -3.300970e+00 -2.533336e+00
[583,] -6.979721e+00 -3.300970e+00
[584,] -1.360075e+01 -6.979721e+00
[585,] -7.169105e+00 -1.360075e+01
[586,] -1.447020e+01 -7.169105e+00
[587,] -5.456367e+00 -1.447020e+01
[588,] -2.574610e+00 -5.456367e+00
> z <- as.data.frame(dum1)
> z
lag(myerror, k = 1) myerror
1 2.013082e+01 8.464328e+00
2 3.684305e+00 2.013082e+01
3 -1.017926e+01 3.684305e+00
4 5.632891e+00 -1.017926e+01
5 4.672424e+00 5.632891e+00
6 -2.113670e+00 4.672424e+00
7 8.380918e+00 -2.113670e+00
8 -1.209164e+01 8.380918e+00
9 -2.332091e+00 -1.209164e+01
10 -8.037254e-01 -2.332091e+00
11 -5.221019e-01 -8.037254e-01
12 7.948979e+00 -5.221019e-01
13 1.741616e+00 7.948979e+00
14 -6.161324e+00 1.741616e+00
15 -6.081434e+00 -6.161324e+00
16 6.888138e+00 -6.081434e+00
17 -1.255763e+00 6.888138e+00
18 3.709982e+00 -1.255763e+00
19 3.117333e+00 3.709982e+00
20 2.488585e+00 3.117333e+00
21 -1.818748e+00 2.488585e+00
22 7.012078e+00 -1.818748e+00
23 -3.123524e+00 7.012078e+00
24 2.948687e-01 -3.123524e+00
25 4.418424e+00 2.948687e-01
26 2.090478e+00 4.418424e+00
27 -7.978551e+00 2.090478e+00
28 6.575067e+00 -7.978551e+00
29 -6.642968e-01 6.575067e+00
30 2.863945e+00 -6.642968e-01
31 9.277274e+00 2.863945e+00
32 -2.024807e+00 9.277274e+00
33 -5.042074e+00 -2.024807e+00
34 1.373882e-01 -5.042074e+00
35 -6.650105e+00 1.373882e-01
36 4.523806e+00 -6.650105e+00
37 -7.481487e-01 4.523806e+00
38 -2.250088e+00 -7.481487e-01
39 2.396932e+00 -2.250088e+00
40 3.154763e+00 2.396932e+00
41 3.815728e+00 3.154763e+00
42 -8.484061e+00 3.815728e+00
43 1.773405e-01 -8.484061e+00
44 -1.019999e+01 1.773405e-01
45 -3.167972e+00 -1.019999e+01
46 -1.481587e-01 -3.167972e+00
47 4.600735e-01 -1.481587e-01
48 -3.912389e+00 4.600735e-01
49 -9.316647e+00 -3.912389e+00
50 -7.890508e+00 -9.316647e+00
51 1.613757e+00 -7.890508e+00
52 -1.736845e+00 1.613757e+00
53 3.046343e-01 -1.736845e+00
54 -9.921026e+00 3.046343e-01
55 -1.997308e+00 -9.921026e+00
56 -1.048413e+01 -1.997308e+00
57 -2.733878e+00 -1.048413e+01
58 -5.128870e+00 -2.733878e+00
59 -3.841798e+00 -5.128870e+00
60 -3.633882e+00 -3.841798e+00
61 -3.332085e+00 -3.633882e+00
62 -6.703837e+00 -3.332085e+00
63 -8.322809e+00 -6.703837e+00
64 -3.035122e+00 -8.322809e+00
65 -1.104261e+01 -3.035122e+00
66 4.794165e+00 -1.104261e+01
67 -2.740594e+00 4.794165e+00
68 -4.397875e+00 -2.740594e+00
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483 -1.006552e+01 -9.772051e+00
484 -1.466945e+01 -1.006552e+01
485 -9.020717e+00 -1.466945e+01
486 -6.783137e+00 -9.020717e+00
487 -1.413017e+01 -6.783137e+00
488 -9.217490e+00 -1.413017e+01
489 -9.034729e+00 -9.217490e+00
490 -1.169150e+01 -9.034729e+00
491 2.161951e-01 -1.169150e+01
492 -3.275268e+00 2.161951e-01
493 -1.087961e+01 -3.275268e+00
494 6.979003e-01 -1.087961e+01
495 -1.173240e+01 6.979003e-01
496 -1.057020e+01 -1.173240e+01
497 -9.851838e+00 -1.057020e+01
498 1.330189e+01 -9.851838e+00
499 -4.302809e+00 1.330189e+01
500 -1.635559e+00 -4.302809e+00
501 -7.868065e+00 -1.635559e+00
502 -6.343591e+00 -7.868065e+00
503 -2.713257e+00 -6.343591e+00
504 -1.806510e+00 -2.713257e+00
505 -8.745664e+00 -1.806510e+00
506 1.551508e+00 -8.745664e+00
507 1.739173e+00 1.551508e+00
508 5.409489e+00 1.739173e+00
509 -1.038762e+01 5.409489e+00
510 8.758784e+02 -1.038762e+01
511 -2.040067e-01 8.758784e+02
512 -2.185599e+00 -2.040067e-01
513 -1.341008e+01 -2.185599e+00
514 -5.486828e+00 -1.341008e+01
515 -1.131193e+01 -5.486828e+00
516 -1.255453e+01 -1.131193e+01
517 -4.422624e+00 -1.255453e+01
518 -3.354258e+00 -4.422624e+00
519 -6.927837e+00 -3.354258e+00
520 -3.021482e+00 -6.927837e+00
521 -6.446570e+00 -3.021482e+00
522 -1.488881e+01 -6.446570e+00
523 -1.608805e+01 -1.488881e+01
524 -6.036465e+00 -1.608805e+01
525 -6.716511e+00 -6.036465e+00
526 -3.579940e+00 -6.716511e+00
527 -8.636345e+00 -3.579940e+00
528 -1.555820e+01 -8.636345e+00
529 -2.844068e+00 -1.555820e+01
530 -1.568663e+01 -2.844068e+00
531 7.604625e+02 -1.568663e+01
532 8.764713e+02 7.604625e+02
533 -6.374334e+00 8.764713e+02
534 -4.040232e+00 -6.374334e+00
535 -1.266852e+01 -4.040232e+00
536 -6.669758e+00 -1.266852e+01
537 -1.159025e+01 -6.669758e+00
538 -5.567872e+00 -1.159025e+01
539 -1.433900e+01 -5.567872e+00
540 -4.584389e+00 -1.433900e+01
541 -1.528106e+01 -4.584389e+00
542 -2.295174e+00 -1.528106e+01
543 -7.161032e+00 -2.295174e+00
544 -7.668840e-01 -7.161032e+00
545 -6.203831e+00 -7.668840e-01
546 -1.098963e+01 -6.203831e+00
547 -1.010455e+01 -1.098963e+01
548 -8.494776e+00 -1.010455e+01
549 -1.197824e+01 -8.494776e+00
550 -1.257357e+01 -1.197824e+01
551 -1.081448e+01 -1.257357e+01
552 -3.203562e+00 -1.081448e+01
553 -6.306076e+00 -3.203562e+00
554 -9.063120e+00 -6.306076e+00
555 -6.153311e+00 -9.063120e+00
556 -5.932945e+00 -6.153311e+00
557 -4.971402e+00 -5.932945e+00
558 -1.140417e+01 -4.971402e+00
559 -1.095120e+01 -1.140417e+01
560 -7.335587e+00 -1.095120e+01
561 -1.162483e+01 -7.335587e+00
562 -3.547614e+00 -1.162483e+01
563 -1.027371e+01 -3.547614e+00
564 -6.259756e+00 -1.027371e+01
565 -5.723048e+00 -6.259756e+00
566 -9.172901e+00 -5.723048e+00
567 -3.756818e+00 -9.172901e+00
568 -3.759076e+00 -3.756818e+00
569 -1.042397e+00 -3.759076e+00
570 -8.032350e+00 -1.042397e+00
571 -8.323509e+00 -8.032350e+00
572 -8.552383e+00 -8.323509e+00
573 -8.905003e+00 -8.552383e+00
574 -3.192250e+00 -8.905003e+00
575 1.258708e+00 -3.192250e+00
576 -9.910202e+00 1.258708e+00
577 7.485737e+00 -9.910202e+00
578 -1.350696e+01 7.485737e+00
579 3.018549e+00 -1.350696e+01
580 -5.267373e+00 3.018549e+00
581 -2.533336e+00 -5.267373e+00
582 -3.300970e+00 -2.533336e+00
583 -6.979721e+00 -3.300970e+00
584 -1.360075e+01 -6.979721e+00
585 -7.169105e+00 -1.360075e+01
586 -1.447020e+01 -7.169105e+00
587 -5.456367e+00 -1.447020e+01
588 -2.574610e+00 -5.456367e+00
> 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/www/html/freestat/rcomp/tmp/7boso1293645852.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> acf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Autocorrelation Function')
> grid()
> dev.off()
null device
1
> postscript(file="/var/www/html/freestat/rcomp/tmp/8boso1293645852.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> pacf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Partial Autocorrelation Function')
> grid()
> dev.off()
null device
1
> postscript(file="/var/www/html/freestat/rcomp/tmp/9boso1293645852.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> opar <- par(mfrow = c(2,2), oma = c(0, 0, 1.1, 0))
> plot(mylm, las = 1, sub='Residual Diagnostics')
> par(opar)
> dev.off()
null device
1
> if (n > n25) {
+ postscript(file="/var/www/html/freestat/rcomp/tmp/104fsr1293645852.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
+ plot(kp3:nmkm3,gqarr[,2], main='Goldfeld-Quandt test',ylab='2-sided p-value',xlab='breakpoint')
+ grid()
+ dev.off()
+ }
null device
1
>
> #Note: the /var/www/html/freestat/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/html/freestat/rcomp/createtable")
>
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a, 'Multiple Linear Regression - Estimated Regression Equation', 1, TRUE)
> a<-table.row.end(a)
> myeq <- colnames(x)[1]
> myeq <- paste(myeq, '[t] = ', sep='')
> for (i in 1:k){
+ if (mysum$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/www/html/freestat/rcomp/tmp/11pgqw1293645852.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/www/html/freestat/rcomp/tmp/12ty721293645852.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/www/html/freestat/rcomp/tmp/137qnb1293645852.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/www/html/freestat/rcomp/tmp/14ar3h1293645852.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/www/html/freestat/rcomp/tmp/15wrkn1293645852.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/www/html/freestat/rcomp/tmp/16hs0t1293645852.tab")
+ }
>
> try(system("convert tmp/1fedx1293645852.ps tmp/1fedx1293645852.png",intern=TRUE))
character(0)
> try(system("convert tmp/28oc01293645852.ps tmp/28oc01293645852.png",intern=TRUE))
character(0)
> try(system("convert tmp/38oc01293645852.ps tmp/38oc01293645852.png",intern=TRUE))
character(0)
> try(system("convert tmp/48oc01293645852.ps tmp/48oc01293645852.png",intern=TRUE))
character(0)
> try(system("convert tmp/58oc01293645852.ps tmp/58oc01293645852.png",intern=TRUE))
character(0)
> try(system("convert tmp/60xbl1293645852.ps tmp/60xbl1293645852.png",intern=TRUE))
character(0)
> try(system("convert tmp/7boso1293645852.ps tmp/7boso1293645852.png",intern=TRUE))
character(0)
> try(system("convert tmp/8boso1293645852.ps tmp/8boso1293645852.png",intern=TRUE))
character(0)
> try(system("convert tmp/9boso1293645852.ps tmp/9boso1293645852.png",intern=TRUE))
character(0)
> try(system("convert tmp/104fsr1293645852.ps tmp/104fsr1293645852.png",intern=TRUE))
character(0)
>
>
> proc.time()
user system elapsed
20.424 3.493 20.928