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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationFri, 23 Dec 2016 17:07:19 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Dec/23/t1482509250v3r366z9vff1fpu.htm/, Retrieved Fri, 01 Nov 2024 03:38:28 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=302989, Retrieved Fri, 01 Nov 2024 03:38:28 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact98

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [aaaaa] [2016-12-23 16:07:19] [bb262dce3bb40077245e847c94886178] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
3710
3480
4024
4154
4142
4122
4228
4122
3938
3976
3952
4072
3756
3378
4250
3888
4116
4216
4214
4320
4056
4104
3976
4258
3892
3628
4056
4022
4294
4282
4250
4418
3966
4184
4094
4074
3950
3700
4148
4192
4394
4216
4366
4512
3996
4292
4074
4228
4044
3634
4330
4282
4428
4346
4632
4634
4156
4512
4142
4442
4064
3818
4334
4404
4644
4542
4718
4568
4338
4544
4302
4506
4164
4096
4556
4472
4548
4710
4660
4702
4460
4524
4440
4566
4196
3996
4616
4312
4592
4684
4542
4810
4360
4540
4428
4606
4130
4034
4564
4286
4578
4530
4666
4852
4164
4494
4356
4338
4130
3840
4362
4296
4626
4490
4708
4686
4266
4528
4216
4488
4268
4052
4438
4354
4558
4494

Tables (Output of Computation)





Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R ServerBig Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time2 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=302989&T=0

[TABLE]
[ROW]
Summary of computational transaction[/C][/ROW] [ROW]Raw Input[/C] view raw input (R code) [/C][/ROW] [ROW]Raw Output[/C]view raw output of R engine [/C][/ROW] [ROW]Computing time[/C]2 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=302989&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=302989&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R ServerBig Analytics Cloud Computing Center






Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.596696-6.3430
20.058160.61830.268826
30.1503751.59850.056362
4-0.169095-1.79750.037463
50.0568560.60440.2734
60.084570.8990.185285
7-0.105923-1.1260.13128
8-0.126377-1.34340.090915
90.3834724.07644.3e-05
10-0.421158-4.4779e-06
110.3712413.94646.9e-05
12-0.186621-1.98380.024851
13-0.16634-1.76820.039862
140.2955553.14180.001072
15-0.1393-1.48080.070723
16-0.070644-0.7510.227119
170.1315871.39880.082308
18-0.029601-0.31470.376798
19-0.114768-1.220.112502
200.2443382.59740.005322
21-0.165776-1.76220.040368
22-0.086397-0.91840.180179
230.2760842.93480.002022
24-0.29171-3.10090.001218
250.1170471.24420.107996
260.0887780.94370.173661
27-0.130296-1.38510.08438
280.0342820.36440.358112
290.035160.37380.354643
30-0.031185-0.33150.37044
31-0.009881-0.1050.458267
320.0885860.94170.174181
33-0.177816-1.89020.030646
340.1825511.94050.027403
35-0.084589-0.89920.18523
36-0.038702-0.41140.340776
370.0858370.91250.181734
38-0.034508-0.36680.357217
39-0.068678-0.73010.233431
400.0856080.910.182372
410.0404470.430.334023
42-0.147728-1.57040.059563
430.1346441.43130.077555
44-0.054393-0.57820.28214
45-0.044319-0.47110.319231
460.078130.83050.203993
47-0.022748-0.24180.404683
48-0.062883-0.66850.252601

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.596696 & -6.343 & 0 \tabularnewline
2 & 0.05816 & 0.6183 & 0.268826 \tabularnewline
3 & 0.150375 & 1.5985 & 0.056362 \tabularnewline
4 & -0.169095 & -1.7975 & 0.037463 \tabularnewline
5 & 0.056856 & 0.6044 & 0.2734 \tabularnewline
6 & 0.08457 & 0.899 & 0.185285 \tabularnewline
7 & -0.105923 & -1.126 & 0.13128 \tabularnewline
8 & -0.126377 & -1.3434 & 0.090915 \tabularnewline
9 & 0.383472 & 4.0764 & 4.3e-05 \tabularnewline
10 & -0.421158 & -4.477 & 9e-06 \tabularnewline
11 & 0.371241 & 3.9464 & 6.9e-05 \tabularnewline
12 & -0.186621 & -1.9838 & 0.024851 \tabularnewline
13 & -0.16634 & -1.7682 & 0.039862 \tabularnewline
14 & 0.295555 & 3.1418 & 0.001072 \tabularnewline
15 & -0.1393 & -1.4808 & 0.070723 \tabularnewline
16 & -0.070644 & -0.751 & 0.227119 \tabularnewline
17 & 0.131587 & 1.3988 & 0.082308 \tabularnewline
18 & -0.029601 & -0.3147 & 0.376798 \tabularnewline
19 & -0.114768 & -1.22 & 0.112502 \tabularnewline
20 & 0.244338 & 2.5974 & 0.005322 \tabularnewline
21 & -0.165776 & -1.7622 & 0.040368 \tabularnewline
22 & -0.086397 & -0.9184 & 0.180179 \tabularnewline
23 & 0.276084 & 2.9348 & 0.002022 \tabularnewline
24 & -0.29171 & -3.1009 & 0.001218 \tabularnewline
25 & 0.117047 & 1.2442 & 0.107996 \tabularnewline
26 & 0.088778 & 0.9437 & 0.173661 \tabularnewline
27 & -0.130296 & -1.3851 & 0.08438 \tabularnewline
28 & 0.034282 & 0.3644 & 0.358112 \tabularnewline
29 & 0.03516 & 0.3738 & 0.354643 \tabularnewline
30 & -0.031185 & -0.3315 & 0.37044 \tabularnewline
31 & -0.009881 & -0.105 & 0.458267 \tabularnewline
32 & 0.088586 & 0.9417 & 0.174181 \tabularnewline
33 & -0.177816 & -1.8902 & 0.030646 \tabularnewline
34 & 0.182551 & 1.9405 & 0.027403 \tabularnewline
35 & -0.084589 & -0.8992 & 0.18523 \tabularnewline
36 & -0.038702 & -0.4114 & 0.340776 \tabularnewline
37 & 0.085837 & 0.9125 & 0.181734 \tabularnewline
38 & -0.034508 & -0.3668 & 0.357217 \tabularnewline
39 & -0.068678 & -0.7301 & 0.233431 \tabularnewline
40 & 0.085608 & 0.91 & 0.182372 \tabularnewline
41 & 0.040447 & 0.43 & 0.334023 \tabularnewline
42 & -0.147728 & -1.5704 & 0.059563 \tabularnewline
43 & 0.134644 & 1.4313 & 0.077555 \tabularnewline
44 & -0.054393 & -0.5782 & 0.28214 \tabularnewline
45 & -0.044319 & -0.4711 & 0.319231 \tabularnewline
46 & 0.07813 & 0.8305 & 0.203993 \tabularnewline
47 & -0.022748 & -0.2418 & 0.404683 \tabularnewline
48 & -0.062883 & -0.6685 & 0.252601 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=302989&T=1

[TABLE]
[ROW][C]Autocorrelation Function[/C][/ROW]
[ROW][C]Time lag k[/C][C]ACF(k)[/C][C]T-STAT[/C][C]P-value[/C][/ROW]
[ROW][C]1[/C][C]-0.596696[/C][C]-6.343[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.05816[/C][C]0.6183[/C][C]0.268826[/C][/ROW]
[ROW][C]3[/C][C]0.150375[/C][C]1.5985[/C][C]0.056362[/C][/ROW]
[ROW][C]4[/C][C]-0.169095[/C][C]-1.7975[/C][C]0.037463[/C][/ROW]
[ROW][C]5[/C][C]0.056856[/C][C]0.6044[/C][C]0.2734[/C][/ROW]
[ROW][C]6[/C][C]0.08457[/C][C]0.899[/C][C]0.185285[/C][/ROW]
[ROW][C]7[/C][C]-0.105923[/C][C]-1.126[/C][C]0.13128[/C][/ROW]
[ROW][C]8[/C][C]-0.126377[/C][C]-1.3434[/C][C]0.090915[/C][/ROW]
[ROW][C]9[/C][C]0.383472[/C][C]4.0764[/C][C]4.3e-05[/C][/ROW]
[ROW][C]10[/C][C]-0.421158[/C][C]-4.477[/C][C]9e-06[/C][/ROW]
[ROW][C]11[/C][C]0.371241[/C][C]3.9464[/C][C]6.9e-05[/C][/ROW]
[ROW][C]12[/C][C]-0.186621[/C][C]-1.9838[/C][C]0.024851[/C][/ROW]
[ROW][C]13[/C][C]-0.16634[/C][C]-1.7682[/C][C]0.039862[/C][/ROW]
[ROW][C]14[/C][C]0.295555[/C][C]3.1418[/C][C]0.001072[/C][/ROW]
[ROW][C]15[/C][C]-0.1393[/C][C]-1.4808[/C][C]0.070723[/C][/ROW]
[ROW][C]16[/C][C]-0.070644[/C][C]-0.751[/C][C]0.227119[/C][/ROW]
[ROW][C]17[/C][C]0.131587[/C][C]1.3988[/C][C]0.082308[/C][/ROW]
[ROW][C]18[/C][C]-0.029601[/C][C]-0.3147[/C][C]0.376798[/C][/ROW]
[ROW][C]19[/C][C]-0.114768[/C][C]-1.22[/C][C]0.112502[/C][/ROW]
[ROW][C]20[/C][C]0.244338[/C][C]2.5974[/C][C]0.005322[/C][/ROW]
[ROW][C]21[/C][C]-0.165776[/C][C]-1.7622[/C][C]0.040368[/C][/ROW]
[ROW][C]22[/C][C]-0.086397[/C][C]-0.9184[/C][C]0.180179[/C][/ROW]
[ROW][C]23[/C][C]0.276084[/C][C]2.9348[/C][C]0.002022[/C][/ROW]
[ROW][C]24[/C][C]-0.29171[/C][C]-3.1009[/C][C]0.001218[/C][/ROW]
[ROW][C]25[/C][C]0.117047[/C][C]1.2442[/C][C]0.107996[/C][/ROW]
[ROW][C]26[/C][C]0.088778[/C][C]0.9437[/C][C]0.173661[/C][/ROW]
[ROW][C]27[/C][C]-0.130296[/C][C]-1.3851[/C][C]0.08438[/C][/ROW]
[ROW][C]28[/C][C]0.034282[/C][C]0.3644[/C][C]0.358112[/C][/ROW]
[ROW][C]29[/C][C]0.03516[/C][C]0.3738[/C][C]0.354643[/C][/ROW]
[ROW][C]30[/C][C]-0.031185[/C][C]-0.3315[/C][C]0.37044[/C][/ROW]
[ROW][C]31[/C][C]-0.009881[/C][C]-0.105[/C][C]0.458267[/C][/ROW]
[ROW][C]32[/C][C]0.088586[/C][C]0.9417[/C][C]0.174181[/C][/ROW]
[ROW][C]33[/C][C]-0.177816[/C][C]-1.8902[/C][C]0.030646[/C][/ROW]
[ROW][C]34[/C][C]0.182551[/C][C]1.9405[/C][C]0.027403[/C][/ROW]
[ROW][C]35[/C][C]-0.084589[/C][C]-0.8992[/C][C]0.18523[/C][/ROW]
[ROW][C]36[/C][C]-0.038702[/C][C]-0.4114[/C][C]0.340776[/C][/ROW]
[ROW][C]37[/C][C]0.085837[/C][C]0.9125[/C][C]0.181734[/C][/ROW]
[ROW][C]38[/C][C]-0.034508[/C][C]-0.3668[/C][C]0.357217[/C][/ROW]
[ROW][C]39[/C][C]-0.068678[/C][C]-0.7301[/C][C]0.233431[/C][/ROW]
[ROW][C]40[/C][C]0.085608[/C][C]0.91[/C][C]0.182372[/C][/ROW]
[ROW][C]41[/C][C]0.040447[/C][C]0.43[/C][C]0.334023[/C][/ROW]
[ROW][C]42[/C][C]-0.147728[/C][C]-1.5704[/C][C]0.059563[/C][/ROW]
[ROW][C]43[/C][C]0.134644[/C][C]1.4313[/C][C]0.077555[/C][/ROW]
[ROW][C]44[/C][C]-0.054393[/C][C]-0.5782[/C][C]0.28214[/C][/ROW]
[ROW][C]45[/C][C]-0.044319[/C][C]-0.4711[/C][C]0.319231[/C][/ROW]
[ROW][C]46[/C][C]0.07813[/C][C]0.8305[/C][C]0.203993[/C][/ROW]
[ROW][C]47[/C][C]-0.022748[/C][C]-0.2418[/C][C]0.404683[/C][/ROW]
[ROW][C]48[/C][C]-0.062883[/C][C]-0.6685[/C][C]0.252601[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=302989&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=302989&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.596696-6.3430
20.058160.61830.268826
30.1503751.59850.056362
4-0.169095-1.79750.037463
50.0568560.60440.2734
60.084570.8990.185285
7-0.105923-1.1260.13128
8-0.126377-1.34340.090915
90.3834724.07644.3e-05
10-0.421158-4.4779e-06
110.3712413.94646.9e-05
12-0.186621-1.98380.024851
13-0.16634-1.76820.039862
140.2955553.14180.001072
15-0.1393-1.48080.070723
16-0.070644-0.7510.227119
170.1315871.39880.082308
18-0.029601-0.31470.376798
19-0.114768-1.220.112502
200.2443382.59740.005322
21-0.165776-1.76220.040368
22-0.086397-0.91840.180179
230.2760842.93480.002022
24-0.29171-3.10090.001218
250.1170471.24420.107996
260.0887780.94370.173661
27-0.130296-1.38510.08438
280.0342820.36440.358112
290.035160.37380.354643
30-0.031185-0.33150.37044
31-0.009881-0.1050.458267
320.0885860.94170.174181
33-0.177816-1.89020.030646
340.1825511.94050.027403
35-0.084589-0.89920.18523
36-0.038702-0.41140.340776
370.0858370.91250.181734
38-0.034508-0.36680.357217
39-0.068678-0.73010.233431
400.0856080.910.182372
410.0404470.430.334023
42-0.147728-1.57040.059563
430.1346441.43130.077555
44-0.054393-0.57820.28214
45-0.044319-0.47110.319231
460.078130.83050.203993
47-0.022748-0.24180.404683
48-0.062883-0.66850.252601






Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.596696-6.3430
2-0.46259-4.91741e-06
3-0.147965-1.57290.05927
4-0.164506-1.74870.041528
5-0.173019-1.83920.034255
6-0.010249-0.1090.456717
70.0087420.09290.463063
8-0.36337-3.86279.4e-05
90.0867070.92170.179323
10-0.16566-1.7610.040473
110.2513082.67140.004334
120.0963311.0240.154007
13-0.227762-2.42110.008532
14-0.119812-1.27360.102706
15-0.06301-0.66980.252175
16-0.159984-1.70070.045879
17-0.015699-0.16690.43388
18-0.052889-0.56220.287541
190.0224410.23860.405942
20-0.079699-0.84720.199335
210.1261451.34090.091314
22-0.075763-0.80540.211147
230.1924642.04590.021543
240.0429850.45690.324296
25-0.101956-1.08380.140378
26-0.063741-0.67760.249713
270.13791.46590.072726
28-0.056857-0.60440.273397
29-0.140896-1.49770.068493
30-0.042939-0.45650.324471
310.0317180.33720.368307
32-0.065093-0.6920.245193
330.090710.96430.168487
340.0285320.30330.38111
350.0745830.79280.214771
360.0064860.06890.472576
37-0.152869-1.6250.053472
380.0127780.13580.446096
39-0.000756-0.0080.4968
40-0.139221-1.47990.070836
41-0.04519-0.48040.315945
42-0.010436-0.11090.455931
43-0.033232-0.35330.362274
44-0.032595-0.34650.364811
45-0.036086-0.38360.350999
46-0.068002-0.72290.235626
470.045390.48250.315193
480.0004020.00430.498299

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.596696 & -6.343 & 0 \tabularnewline
2 & -0.46259 & -4.9174 & 1e-06 \tabularnewline
3 & -0.147965 & -1.5729 & 0.05927 \tabularnewline
4 & -0.164506 & -1.7487 & 0.041528 \tabularnewline
5 & -0.173019 & -1.8392 & 0.034255 \tabularnewline
6 & -0.010249 & -0.109 & 0.456717 \tabularnewline
7 & 0.008742 & 0.0929 & 0.463063 \tabularnewline
8 & -0.36337 & -3.8627 & 9.4e-05 \tabularnewline
9 & 0.086707 & 0.9217 & 0.179323 \tabularnewline
10 & -0.16566 & -1.761 & 0.040473 \tabularnewline
11 & 0.251308 & 2.6714 & 0.004334 \tabularnewline
12 & 0.096331 & 1.024 & 0.154007 \tabularnewline
13 & -0.227762 & -2.4211 & 0.008532 \tabularnewline
14 & -0.119812 & -1.2736 & 0.102706 \tabularnewline
15 & -0.06301 & -0.6698 & 0.252175 \tabularnewline
16 & -0.159984 & -1.7007 & 0.045879 \tabularnewline
17 & -0.015699 & -0.1669 & 0.43388 \tabularnewline
18 & -0.052889 & -0.5622 & 0.287541 \tabularnewline
19 & 0.022441 & 0.2386 & 0.405942 \tabularnewline
20 & -0.079699 & -0.8472 & 0.199335 \tabularnewline
21 & 0.126145 & 1.3409 & 0.091314 \tabularnewline
22 & -0.075763 & -0.8054 & 0.211147 \tabularnewline
23 & 0.192464 & 2.0459 & 0.021543 \tabularnewline
24 & 0.042985 & 0.4569 & 0.324296 \tabularnewline
25 & -0.101956 & -1.0838 & 0.140378 \tabularnewline
26 & -0.063741 & -0.6776 & 0.249713 \tabularnewline
27 & 0.1379 & 1.4659 & 0.072726 \tabularnewline
28 & -0.056857 & -0.6044 & 0.273397 \tabularnewline
29 & -0.140896 & -1.4977 & 0.068493 \tabularnewline
30 & -0.042939 & -0.4565 & 0.324471 \tabularnewline
31 & 0.031718 & 0.3372 & 0.368307 \tabularnewline
32 & -0.065093 & -0.692 & 0.245193 \tabularnewline
33 & 0.09071 & 0.9643 & 0.168487 \tabularnewline
34 & 0.028532 & 0.3033 & 0.38111 \tabularnewline
35 & 0.074583 & 0.7928 & 0.214771 \tabularnewline
36 & 0.006486 & 0.0689 & 0.472576 \tabularnewline
37 & -0.152869 & -1.625 & 0.053472 \tabularnewline
38 & 0.012778 & 0.1358 & 0.446096 \tabularnewline
39 & -0.000756 & -0.008 & 0.4968 \tabularnewline
40 & -0.139221 & -1.4799 & 0.070836 \tabularnewline
41 & -0.04519 & -0.4804 & 0.315945 \tabularnewline
42 & -0.010436 & -0.1109 & 0.455931 \tabularnewline
43 & -0.033232 & -0.3533 & 0.362274 \tabularnewline
44 & -0.032595 & -0.3465 & 0.364811 \tabularnewline
45 & -0.036086 & -0.3836 & 0.350999 \tabularnewline
46 & -0.068002 & -0.7229 & 0.235626 \tabularnewline
47 & 0.04539 & 0.4825 & 0.315193 \tabularnewline
48 & 0.000402 & 0.0043 & 0.498299 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=302989&T=2

[TABLE]
[ROW][C]Partial Autocorrelation Function[/C][/ROW]
[ROW][C]Time lag k[/C][C]PACF(k)[/C][C]T-STAT[/C][C]P-value[/C][/ROW]
[ROW][C]1[/C][C]-0.596696[/C][C]-6.343[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.46259[/C][C]-4.9174[/C][C]1e-06[/C][/ROW]
[ROW][C]3[/C][C]-0.147965[/C][C]-1.5729[/C][C]0.05927[/C][/ROW]
[ROW][C]4[/C][C]-0.164506[/C][C]-1.7487[/C][C]0.041528[/C][/ROW]
[ROW][C]5[/C][C]-0.173019[/C][C]-1.8392[/C][C]0.034255[/C][/ROW]
[ROW][C]6[/C][C]-0.010249[/C][C]-0.109[/C][C]0.456717[/C][/ROW]
[ROW][C]7[/C][C]0.008742[/C][C]0.0929[/C][C]0.463063[/C][/ROW]
[ROW][C]8[/C][C]-0.36337[/C][C]-3.8627[/C][C]9.4e-05[/C][/ROW]
[ROW][C]9[/C][C]0.086707[/C][C]0.9217[/C][C]0.179323[/C][/ROW]
[ROW][C]10[/C][C]-0.16566[/C][C]-1.761[/C][C]0.040473[/C][/ROW]
[ROW][C]11[/C][C]0.251308[/C][C]2.6714[/C][C]0.004334[/C][/ROW]
[ROW][C]12[/C][C]0.096331[/C][C]1.024[/C][C]0.154007[/C][/ROW]
[ROW][C]13[/C][C]-0.227762[/C][C]-2.4211[/C][C]0.008532[/C][/ROW]
[ROW][C]14[/C][C]-0.119812[/C][C]-1.2736[/C][C]0.102706[/C][/ROW]
[ROW][C]15[/C][C]-0.06301[/C][C]-0.6698[/C][C]0.252175[/C][/ROW]
[ROW][C]16[/C][C]-0.159984[/C][C]-1.7007[/C][C]0.045879[/C][/ROW]
[ROW][C]17[/C][C]-0.015699[/C][C]-0.1669[/C][C]0.43388[/C][/ROW]
[ROW][C]18[/C][C]-0.052889[/C][C]-0.5622[/C][C]0.287541[/C][/ROW]
[ROW][C]19[/C][C]0.022441[/C][C]0.2386[/C][C]0.405942[/C][/ROW]
[ROW][C]20[/C][C]-0.079699[/C][C]-0.8472[/C][C]0.199335[/C][/ROW]
[ROW][C]21[/C][C]0.126145[/C][C]1.3409[/C][C]0.091314[/C][/ROW]
[ROW][C]22[/C][C]-0.075763[/C][C]-0.8054[/C][C]0.211147[/C][/ROW]
[ROW][C]23[/C][C]0.192464[/C][C]2.0459[/C][C]0.021543[/C][/ROW]
[ROW][C]24[/C][C]0.042985[/C][C]0.4569[/C][C]0.324296[/C][/ROW]
[ROW][C]25[/C][C]-0.101956[/C][C]-1.0838[/C][C]0.140378[/C][/ROW]
[ROW][C]26[/C][C]-0.063741[/C][C]-0.6776[/C][C]0.249713[/C][/ROW]
[ROW][C]27[/C][C]0.1379[/C][C]1.4659[/C][C]0.072726[/C][/ROW]
[ROW][C]28[/C][C]-0.056857[/C][C]-0.6044[/C][C]0.273397[/C][/ROW]
[ROW][C]29[/C][C]-0.140896[/C][C]-1.4977[/C][C]0.068493[/C][/ROW]
[ROW][C]30[/C][C]-0.042939[/C][C]-0.4565[/C][C]0.324471[/C][/ROW]
[ROW][C]31[/C][C]0.031718[/C][C]0.3372[/C][C]0.368307[/C][/ROW]
[ROW][C]32[/C][C]-0.065093[/C][C]-0.692[/C][C]0.245193[/C][/ROW]
[ROW][C]33[/C][C]0.09071[/C][C]0.9643[/C][C]0.168487[/C][/ROW]
[ROW][C]34[/C][C]0.028532[/C][C]0.3033[/C][C]0.38111[/C][/ROW]
[ROW][C]35[/C][C]0.074583[/C][C]0.7928[/C][C]0.214771[/C][/ROW]
[ROW][C]36[/C][C]0.006486[/C][C]0.0689[/C][C]0.472576[/C][/ROW]
[ROW][C]37[/C][C]-0.152869[/C][C]-1.625[/C][C]0.053472[/C][/ROW]
[ROW][C]38[/C][C]0.012778[/C][C]0.1358[/C][C]0.446096[/C][/ROW]
[ROW][C]39[/C][C]-0.000756[/C][C]-0.008[/C][C]0.4968[/C][/ROW]
[ROW][C]40[/C][C]-0.139221[/C][C]-1.4799[/C][C]0.070836[/C][/ROW]
[ROW][C]41[/C][C]-0.04519[/C][C]-0.4804[/C][C]0.315945[/C][/ROW]
[ROW][C]42[/C][C]-0.010436[/C][C]-0.1109[/C][C]0.455931[/C][/ROW]
[ROW][C]43[/C][C]-0.033232[/C][C]-0.3533[/C][C]0.362274[/C][/ROW]
[ROW][C]44[/C][C]-0.032595[/C][C]-0.3465[/C][C]0.364811[/C][/ROW]
[ROW][C]45[/C][C]-0.036086[/C][C]-0.3836[/C][C]0.350999[/C][/ROW]
[ROW][C]46[/C][C]-0.068002[/C][C]-0.7229[/C][C]0.235626[/C][/ROW]
[ROW][C]47[/C][C]0.04539[/C][C]0.4825[/C][C]0.315193[/C][/ROW]
[ROW][C]48[/C][C]0.000402[/C][C]0.0043[/C][C]0.498299[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=302989&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=302989&T=2

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.596696-6.3430
2-0.46259-4.91741e-06
3-0.147965-1.57290.05927
4-0.164506-1.74870.041528
5-0.173019-1.83920.034255
6-0.010249-0.1090.456717
70.0087420.09290.463063
8-0.36337-3.86279.4e-05
90.0867070.92170.179323
10-0.16566-1.7610.040473
110.2513082.67140.004334
120.0963311.0240.154007
13-0.227762-2.42110.008532
14-0.119812-1.27360.102706
15-0.06301-0.66980.252175
16-0.159984-1.70070.045879
17-0.015699-0.16690.43388
18-0.052889-0.56220.287541
190.0224410.23860.405942
20-0.079699-0.84720.199335
210.1261451.34090.091314
22-0.075763-0.80540.211147
230.1924642.04590.021543
240.0429850.45690.324296
25-0.101956-1.08380.140378
26-0.063741-0.67760.249713
270.13791.46590.072726
28-0.056857-0.60440.273397
29-0.140896-1.49770.068493
30-0.042939-0.45650.324471
310.0317180.33720.368307
32-0.065093-0.6920.245193
330.090710.96430.168487
340.0285320.30330.38111
350.0745830.79280.214771
360.0064860.06890.472576
37-0.152869-1.6250.053472
380.0127780.13580.446096
39-0.000756-0.0080.4968
40-0.139221-1.47990.070836
41-0.04519-0.48040.315945
42-0.010436-0.11090.455931
43-0.033232-0.35330.362274
44-0.032595-0.34650.364811
45-0.036086-0.38360.350999
46-0.068002-0.72290.235626
470.045390.48250.315193
480.0004020.00430.498299


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ; par8 = ;
R code (references can be found in the software module):
if (par1 == 'Default') {
par1 = 10*log10(length(x))
} else {
par1 <- as.numeric(par1)
}
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
par5 <- as.numeric(par5)
if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
par7 <- as.numeric(par7)
if (par8 != '') par8 <- as.numeric(par8)
x <- na.omit(x)
ox <- x
if (par8 == '') {
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
} else {
x <- log(x,base=par8)
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='picts.png')
op <- par(mfrow=c(2,1))
plot(ox,type='l',main='Original Time Series',xlab='time',ylab='value')
if (par8=='') {
mytitle <- paste('Working Time Series (lambda=',par2,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
} else {
mytitle <- paste('Working Time Series (base=',par8,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(base=',par8,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
}
plot(x,type='l', main=mytitle,xlab='time',ylab='value')
par(op)
dev.off()
bitmap(file='pic1.png')
racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=mysub)
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF',sub=mysub)
dev.off()
(myacf <- c(racf$acf))
(mypacf <- c(rpacf$acf))
lengthx <- length(x)
sqrtn <- sqrt(lengthx)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,'ACF(k)',header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 2:(par1+1)) {
a<-table.row.start(a)
a<-table.element(a,i-1,header=TRUE)
a<-table.element(a,round(myacf[i],6))
mytstat <- myacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Partial Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,'PACF(k)',header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:par1) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,round(mypacf[i],6))
mytstat <- mypacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')