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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 computationTue, 21 Dec 2010 18:16:23 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/21/t1292955583l5v9sfhlurdau3l.htm/, Retrieved Sat, 11 May 2024 10:12:06 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=113802, Retrieved Sat, 11 May 2024 10:12:06 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact161
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [data set] [2008-12-01 19:54:57] [b98453cac15ba1066b407e146608df68]
- RMP   [Exponential Smoothing] [Unemployment] [2010-11-30 13:37:23] [b98453cac15ba1066b407e146608df68]
- RMPD    [(Partial) Autocorrelation Function] [Goudprijs-ACF] [2010-12-20 12:17:14] [d672a41e0af7ff107c03f1d65e47fd32]
-   PD      [(Partial) Autocorrelation Function] [(Partial) Autocor...] [2010-12-21 17:16:30] [c2a9e95daa10045f9fd6252038bcb219]
-   P         [(Partial) Autocorrelation Function] [(Partial) Autocor...] [2010-12-21 18:10:50] [c2a9e95daa10045f9fd6252038bcb219]
-   P             [(Partial) Autocorrelation Function] [(Partial) Autocor...] [2010-12-21 18:16:23] [c6b3e187a4a1689d42fffda4bc860ab5] [Current]
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Dataseries X:
9.026
9.787
9.536
9.490
9.736
9.694
9.647
9.753
10.070
10.137
9.984
9.732
9.103
9.155
9.308
9.394
9.948
10.177
10.002
9.728
10.002
10.063
10.018
9.960
10.236
10.893
10.756
10.940
10.997
10.827
10.166
10.186
10.457
10.368
10.244
10.511
10.812
10.738
10.171
9.721
9.897
9.828
9.924
10.371
10.846
10.413
10.709
10.662
10.570
10.297
10.635
10.872
10.296
10.383
10.431
10.574
10.653
10.805
10.872
10.625
10.407
10.463
10.556
10.646
10.702
11.353
11.346
11.451
11.964
12.574
13.031
13.812
14.544
14.931
14.886
16.005
17.064
15.168
16.050
15.839
15.137
14.954
15.648
15.305
15.579
16.348
15.928
16.171
15.937
15.713
15.594
15.683
16.438
17.032
17.696
17.745
19.394
20.148
20.108
18.584
18.441
18.391
19.178
18.079
18.483
19.644
19.195
19.650
20.830
23.595
22.937
21.814
21.928
21.777
21.383
21.467
22.052
22.680
24.320
24.977
25.204
25.739
26.434
27.525
30.695
32.436
30.160
30.236
31.293
31.077
32.226




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=113802&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=113802&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=113802&T=0

As an alternative you can also use a QR Code:  

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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.95868210.97260
20.92013310.53140
30.88172510.09180
40.845259.67430
50.807639.24370
60.761948.72080
70.7215318.25830
80.6908437.90710
90.6643357.60370
100.6392437.31650
110.6160357.05080
120.5918796.77440
130.567326.49330
140.5477056.26880
150.5306056.07310
160.5132465.87440
170.4945735.66060
180.4757355.4450
190.4566475.22660
200.4375765.00831e-06
210.4134674.73233e-06
220.3866364.42521e-05
230.3679254.21112.3e-05
240.3518614.02724.8e-05
250.3376253.86438.7e-05
260.322643.69280.000162
270.3104133.55280.000265
280.2979563.41030.000432
290.2805433.2110.000832
300.2654223.03790.001438
310.2494642.85520.002501
320.2322052.65770.004423
330.2096582.39960.008909
340.1857722.12630.017679
350.1632721.86870.031947
360.1474741.68790.046904
370.131641.50670.06715
380.1173771.34340.090726
390.104351.19430.117251
400.0929881.06430.144575
410.0808650.92550.178192
420.0687450.78680.216402
430.0559230.64010.261625
440.0417060.47740.316954
450.0295670.33840.367796
460.0155880.17840.429336
470.0035350.04050.483896
48-0.00809-0.09260.463181
49-0.02131-0.24390.403845
50-0.03473-0.39750.345822
51-0.04928-0.5640.286847
52-0.066424-0.76030.224235
53-0.086656-0.99180.161556
54-0.104307-1.19380.117347
55-0.129922-1.4870.069705
56-0.152103-1.74090.042024
57-0.170469-1.95110.026589
58-0.188509-2.15760.016392
59-0.205562-2.35280.010062
60-0.221032-2.52980.006298

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.958682 & 10.9726 & 0 \tabularnewline
2 & 0.920133 & 10.5314 & 0 \tabularnewline
3 & 0.881725 & 10.0918 & 0 \tabularnewline
4 & 0.84525 & 9.6743 & 0 \tabularnewline
5 & 0.80763 & 9.2437 & 0 \tabularnewline
6 & 0.76194 & 8.7208 & 0 \tabularnewline
7 & 0.721531 & 8.2583 & 0 \tabularnewline
8 & 0.690843 & 7.9071 & 0 \tabularnewline
9 & 0.664335 & 7.6037 & 0 \tabularnewline
10 & 0.639243 & 7.3165 & 0 \tabularnewline
11 & 0.616035 & 7.0508 & 0 \tabularnewline
12 & 0.591879 & 6.7744 & 0 \tabularnewline
13 & 0.56732 & 6.4933 & 0 \tabularnewline
14 & 0.547705 & 6.2688 & 0 \tabularnewline
15 & 0.530605 & 6.0731 & 0 \tabularnewline
16 & 0.513246 & 5.8744 & 0 \tabularnewline
17 & 0.494573 & 5.6606 & 0 \tabularnewline
18 & 0.475735 & 5.445 & 0 \tabularnewline
19 & 0.456647 & 5.2266 & 0 \tabularnewline
20 & 0.437576 & 5.0083 & 1e-06 \tabularnewline
21 & 0.413467 & 4.7323 & 3e-06 \tabularnewline
22 & 0.386636 & 4.4252 & 1e-05 \tabularnewline
23 & 0.367925 & 4.2111 & 2.3e-05 \tabularnewline
24 & 0.351861 & 4.0272 & 4.8e-05 \tabularnewline
25 & 0.337625 & 3.8643 & 8.7e-05 \tabularnewline
26 & 0.32264 & 3.6928 & 0.000162 \tabularnewline
27 & 0.310413 & 3.5528 & 0.000265 \tabularnewline
28 & 0.297956 & 3.4103 & 0.000432 \tabularnewline
29 & 0.280543 & 3.211 & 0.000832 \tabularnewline
30 & 0.265422 & 3.0379 & 0.001438 \tabularnewline
31 & 0.249464 & 2.8552 & 0.002501 \tabularnewline
32 & 0.232205 & 2.6577 & 0.004423 \tabularnewline
33 & 0.209658 & 2.3996 & 0.008909 \tabularnewline
34 & 0.185772 & 2.1263 & 0.017679 \tabularnewline
35 & 0.163272 & 1.8687 & 0.031947 \tabularnewline
36 & 0.147474 & 1.6879 & 0.046904 \tabularnewline
37 & 0.13164 & 1.5067 & 0.06715 \tabularnewline
38 & 0.117377 & 1.3434 & 0.090726 \tabularnewline
39 & 0.10435 & 1.1943 & 0.117251 \tabularnewline
40 & 0.092988 & 1.0643 & 0.144575 \tabularnewline
41 & 0.080865 & 0.9255 & 0.178192 \tabularnewline
42 & 0.068745 & 0.7868 & 0.216402 \tabularnewline
43 & 0.055923 & 0.6401 & 0.261625 \tabularnewline
44 & 0.041706 & 0.4774 & 0.316954 \tabularnewline
45 & 0.029567 & 0.3384 & 0.367796 \tabularnewline
46 & 0.015588 & 0.1784 & 0.429336 \tabularnewline
47 & 0.003535 & 0.0405 & 0.483896 \tabularnewline
48 & -0.00809 & -0.0926 & 0.463181 \tabularnewline
49 & -0.02131 & -0.2439 & 0.403845 \tabularnewline
50 & -0.03473 & -0.3975 & 0.345822 \tabularnewline
51 & -0.04928 & -0.564 & 0.286847 \tabularnewline
52 & -0.066424 & -0.7603 & 0.224235 \tabularnewline
53 & -0.086656 & -0.9918 & 0.161556 \tabularnewline
54 & -0.104307 & -1.1938 & 0.117347 \tabularnewline
55 & -0.129922 & -1.487 & 0.069705 \tabularnewline
56 & -0.152103 & -1.7409 & 0.042024 \tabularnewline
57 & -0.170469 & -1.9511 & 0.026589 \tabularnewline
58 & -0.188509 & -2.1576 & 0.016392 \tabularnewline
59 & -0.205562 & -2.3528 & 0.010062 \tabularnewline
60 & -0.221032 & -2.5298 & 0.006298 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=113802&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]0.958682[/C][C]10.9726[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.920133[/C][C]10.5314[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.881725[/C][C]10.0918[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.84525[/C][C]9.6743[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.80763[/C][C]9.2437[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.76194[/C][C]8.7208[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.721531[/C][C]8.2583[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.690843[/C][C]7.9071[/C][C]0[/C][/ROW]
[ROW][C]9[/C][C]0.664335[/C][C]7.6037[/C][C]0[/C][/ROW]
[ROW][C]10[/C][C]0.639243[/C][C]7.3165[/C][C]0[/C][/ROW]
[ROW][C]11[/C][C]0.616035[/C][C]7.0508[/C][C]0[/C][/ROW]
[ROW][C]12[/C][C]0.591879[/C][C]6.7744[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.56732[/C][C]6.4933[/C][C]0[/C][/ROW]
[ROW][C]14[/C][C]0.547705[/C][C]6.2688[/C][C]0[/C][/ROW]
[ROW][C]15[/C][C]0.530605[/C][C]6.0731[/C][C]0[/C][/ROW]
[ROW][C]16[/C][C]0.513246[/C][C]5.8744[/C][C]0[/C][/ROW]
[ROW][C]17[/C][C]0.494573[/C][C]5.6606[/C][C]0[/C][/ROW]
[ROW][C]18[/C][C]0.475735[/C][C]5.445[/C][C]0[/C][/ROW]
[ROW][C]19[/C][C]0.456647[/C][C]5.2266[/C][C]0[/C][/ROW]
[ROW][C]20[/C][C]0.437576[/C][C]5.0083[/C][C]1e-06[/C][/ROW]
[ROW][C]21[/C][C]0.413467[/C][C]4.7323[/C][C]3e-06[/C][/ROW]
[ROW][C]22[/C][C]0.386636[/C][C]4.4252[/C][C]1e-05[/C][/ROW]
[ROW][C]23[/C][C]0.367925[/C][C]4.2111[/C][C]2.3e-05[/C][/ROW]
[ROW][C]24[/C][C]0.351861[/C][C]4.0272[/C][C]4.8e-05[/C][/ROW]
[ROW][C]25[/C][C]0.337625[/C][C]3.8643[/C][C]8.7e-05[/C][/ROW]
[ROW][C]26[/C][C]0.32264[/C][C]3.6928[/C][C]0.000162[/C][/ROW]
[ROW][C]27[/C][C]0.310413[/C][C]3.5528[/C][C]0.000265[/C][/ROW]
[ROW][C]28[/C][C]0.297956[/C][C]3.4103[/C][C]0.000432[/C][/ROW]
[ROW][C]29[/C][C]0.280543[/C][C]3.211[/C][C]0.000832[/C][/ROW]
[ROW][C]30[/C][C]0.265422[/C][C]3.0379[/C][C]0.001438[/C][/ROW]
[ROW][C]31[/C][C]0.249464[/C][C]2.8552[/C][C]0.002501[/C][/ROW]
[ROW][C]32[/C][C]0.232205[/C][C]2.6577[/C][C]0.004423[/C][/ROW]
[ROW][C]33[/C][C]0.209658[/C][C]2.3996[/C][C]0.008909[/C][/ROW]
[ROW][C]34[/C][C]0.185772[/C][C]2.1263[/C][C]0.017679[/C][/ROW]
[ROW][C]35[/C][C]0.163272[/C][C]1.8687[/C][C]0.031947[/C][/ROW]
[ROW][C]36[/C][C]0.147474[/C][C]1.6879[/C][C]0.046904[/C][/ROW]
[ROW][C]37[/C][C]0.13164[/C][C]1.5067[/C][C]0.06715[/C][/ROW]
[ROW][C]38[/C][C]0.117377[/C][C]1.3434[/C][C]0.090726[/C][/ROW]
[ROW][C]39[/C][C]0.10435[/C][C]1.1943[/C][C]0.117251[/C][/ROW]
[ROW][C]40[/C][C]0.092988[/C][C]1.0643[/C][C]0.144575[/C][/ROW]
[ROW][C]41[/C][C]0.080865[/C][C]0.9255[/C][C]0.178192[/C][/ROW]
[ROW][C]42[/C][C]0.068745[/C][C]0.7868[/C][C]0.216402[/C][/ROW]
[ROW][C]43[/C][C]0.055923[/C][C]0.6401[/C][C]0.261625[/C][/ROW]
[ROW][C]44[/C][C]0.041706[/C][C]0.4774[/C][C]0.316954[/C][/ROW]
[ROW][C]45[/C][C]0.029567[/C][C]0.3384[/C][C]0.367796[/C][/ROW]
[ROW][C]46[/C][C]0.015588[/C][C]0.1784[/C][C]0.429336[/C][/ROW]
[ROW][C]47[/C][C]0.003535[/C][C]0.0405[/C][C]0.483896[/C][/ROW]
[ROW][C]48[/C][C]-0.00809[/C][C]-0.0926[/C][C]0.463181[/C][/ROW]
[ROW][C]49[/C][C]-0.02131[/C][C]-0.2439[/C][C]0.403845[/C][/ROW]
[ROW][C]50[/C][C]-0.03473[/C][C]-0.3975[/C][C]0.345822[/C][/ROW]
[ROW][C]51[/C][C]-0.04928[/C][C]-0.564[/C][C]0.286847[/C][/ROW]
[ROW][C]52[/C][C]-0.066424[/C][C]-0.7603[/C][C]0.224235[/C][/ROW]
[ROW][C]53[/C][C]-0.086656[/C][C]-0.9918[/C][C]0.161556[/C][/ROW]
[ROW][C]54[/C][C]-0.104307[/C][C]-1.1938[/C][C]0.117347[/C][/ROW]
[ROW][C]55[/C][C]-0.129922[/C][C]-1.487[/C][C]0.069705[/C][/ROW]
[ROW][C]56[/C][C]-0.152103[/C][C]-1.7409[/C][C]0.042024[/C][/ROW]
[ROW][C]57[/C][C]-0.170469[/C][C]-1.9511[/C][C]0.026589[/C][/ROW]
[ROW][C]58[/C][C]-0.188509[/C][C]-2.1576[/C][C]0.016392[/C][/ROW]
[ROW][C]59[/C][C]-0.205562[/C][C]-2.3528[/C][C]0.010062[/C][/ROW]
[ROW][C]60[/C][C]-0.221032[/C][C]-2.5298[/C][C]0.006298[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=113802&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=113802&T=1

As an alternative you can also use a QR Code:  

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

Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.95868210.97260
20.92013310.53140
30.88172510.09180
40.845259.67430
50.807639.24370
60.761948.72080
70.7215318.25830
80.6908437.90710
90.6643357.60370
100.6392437.31650
110.6160357.05080
120.5918796.77440
130.567326.49330
140.5477056.26880
150.5306056.07310
160.5132465.87440
170.4945735.66060
180.4757355.4450
190.4566475.22660
200.4375765.00831e-06
210.4134674.73233e-06
220.3866364.42521e-05
230.3679254.21112.3e-05
240.3518614.02724.8e-05
250.3376253.86438.7e-05
260.322643.69280.000162
270.3104133.55280.000265
280.2979563.41030.000432
290.2805433.2110.000832
300.2654223.03790.001438
310.2494642.85520.002501
320.2322052.65770.004423
330.2096582.39960.008909
340.1857722.12630.017679
350.1632721.86870.031947
360.1474741.68790.046904
370.131641.50670.06715
380.1173771.34340.090726
390.104351.19430.117251
400.0929881.06430.144575
410.0808650.92550.178192
420.0687450.78680.216402
430.0559230.64010.261625
440.0417060.47740.316954
450.0295670.33840.367796
460.0155880.17840.429336
470.0035350.04050.483896
48-0.00809-0.09260.463181
49-0.02131-0.24390.403845
50-0.03473-0.39750.345822
51-0.04928-0.5640.286847
52-0.066424-0.76030.224235
53-0.086656-0.99180.161556
54-0.104307-1.19380.117347
55-0.129922-1.4870.069705
56-0.152103-1.74090.042024
57-0.170469-1.95110.026589
58-0.188509-2.15760.016392
59-0.205562-2.35280.010062
60-0.221032-2.52980.006298







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.95868210.97260
20.013120.15020.440431
3-0.017233-0.19720.421974
40.0036260.04150.483481
5-0.032399-0.37080.355685
6-0.121416-1.38970.083493
70.033920.38820.349238
80.1015781.16260.123549
90.0378870.43360.332633
100.0097240.11130.455776
110.0222170.25430.399837
12-0.039015-0.44650.32797
13-0.044745-0.51210.304713
140.0497260.56910.285119
150.0385950.44170.329705
16-0.004346-0.04970.480203
17-0.01153-0.1320.447607
18-0.006388-0.07310.470915
19-0.034734-0.39750.345806
20-0.020696-0.23690.40656
21-0.058815-0.67320.251014
22-0.039478-0.45190.326061
230.0906861.03790.150603
240.0349350.39990.344958
250.0115990.13280.447294
26-0.01192-0.13640.445846
270.017960.20560.418725
28-0.048059-0.55010.291608
29-0.086507-0.99010.161971
300.0331870.37980.352337
314e-040.00460.498175
32-0.027019-0.30920.378813
33-0.061514-0.70410.241323
34-0.028864-0.33040.370829
35-0.032747-0.37480.354203
360.0619880.70950.239644
370.0146960.16820.433341
380.0238310.27280.392733
390.0009590.0110.495629
40-0.003022-0.03460.486231
41-0.051718-0.59190.277455
42-0.024418-0.27950.390159
43-0.021181-0.24240.404416
44-0.030105-0.34460.365488
450.0293510.33590.368727
46-0.014776-0.16910.432982
470.0061090.06990.472183
48-0.012783-0.14630.441952
49-0.013786-0.15780.437432
50-0.024762-0.28340.388653
51-0.038881-0.4450.328521
52-0.041951-0.48010.315962
53-0.04714-0.53950.295216
540.0182470.20880.417446
55-0.137728-1.57640.058676
56-0.008245-0.09440.462482
570.0267620.30630.37993
58-0.009397-0.10760.457258
59-0.021017-0.24050.40514
600.0320420.36670.357204

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.958682 & 10.9726 & 0 \tabularnewline
2 & 0.01312 & 0.1502 & 0.440431 \tabularnewline
3 & -0.017233 & -0.1972 & 0.421974 \tabularnewline
4 & 0.003626 & 0.0415 & 0.483481 \tabularnewline
5 & -0.032399 & -0.3708 & 0.355685 \tabularnewline
6 & -0.121416 & -1.3897 & 0.083493 \tabularnewline
7 & 0.03392 & 0.3882 & 0.349238 \tabularnewline
8 & 0.101578 & 1.1626 & 0.123549 \tabularnewline
9 & 0.037887 & 0.4336 & 0.332633 \tabularnewline
10 & 0.009724 & 0.1113 & 0.455776 \tabularnewline
11 & 0.022217 & 0.2543 & 0.399837 \tabularnewline
12 & -0.039015 & -0.4465 & 0.32797 \tabularnewline
13 & -0.044745 & -0.5121 & 0.304713 \tabularnewline
14 & 0.049726 & 0.5691 & 0.285119 \tabularnewline
15 & 0.038595 & 0.4417 & 0.329705 \tabularnewline
16 & -0.004346 & -0.0497 & 0.480203 \tabularnewline
17 & -0.01153 & -0.132 & 0.447607 \tabularnewline
18 & -0.006388 & -0.0731 & 0.470915 \tabularnewline
19 & -0.034734 & -0.3975 & 0.345806 \tabularnewline
20 & -0.020696 & -0.2369 & 0.40656 \tabularnewline
21 & -0.058815 & -0.6732 & 0.251014 \tabularnewline
22 & -0.039478 & -0.4519 & 0.326061 \tabularnewline
23 & 0.090686 & 1.0379 & 0.150603 \tabularnewline
24 & 0.034935 & 0.3999 & 0.344958 \tabularnewline
25 & 0.011599 & 0.1328 & 0.447294 \tabularnewline
26 & -0.01192 & -0.1364 & 0.445846 \tabularnewline
27 & 0.01796 & 0.2056 & 0.418725 \tabularnewline
28 & -0.048059 & -0.5501 & 0.291608 \tabularnewline
29 & -0.086507 & -0.9901 & 0.161971 \tabularnewline
30 & 0.033187 & 0.3798 & 0.352337 \tabularnewline
31 & 4e-04 & 0.0046 & 0.498175 \tabularnewline
32 & -0.027019 & -0.3092 & 0.378813 \tabularnewline
33 & -0.061514 & -0.7041 & 0.241323 \tabularnewline
34 & -0.028864 & -0.3304 & 0.370829 \tabularnewline
35 & -0.032747 & -0.3748 & 0.354203 \tabularnewline
36 & 0.061988 & 0.7095 & 0.239644 \tabularnewline
37 & 0.014696 & 0.1682 & 0.433341 \tabularnewline
38 & 0.023831 & 0.2728 & 0.392733 \tabularnewline
39 & 0.000959 & 0.011 & 0.495629 \tabularnewline
40 & -0.003022 & -0.0346 & 0.486231 \tabularnewline
41 & -0.051718 & -0.5919 & 0.277455 \tabularnewline
42 & -0.024418 & -0.2795 & 0.390159 \tabularnewline
43 & -0.021181 & -0.2424 & 0.404416 \tabularnewline
44 & -0.030105 & -0.3446 & 0.365488 \tabularnewline
45 & 0.029351 & 0.3359 & 0.368727 \tabularnewline
46 & -0.014776 & -0.1691 & 0.432982 \tabularnewline
47 & 0.006109 & 0.0699 & 0.472183 \tabularnewline
48 & -0.012783 & -0.1463 & 0.441952 \tabularnewline
49 & -0.013786 & -0.1578 & 0.437432 \tabularnewline
50 & -0.024762 & -0.2834 & 0.388653 \tabularnewline
51 & -0.038881 & -0.445 & 0.328521 \tabularnewline
52 & -0.041951 & -0.4801 & 0.315962 \tabularnewline
53 & -0.04714 & -0.5395 & 0.295216 \tabularnewline
54 & 0.018247 & 0.2088 & 0.417446 \tabularnewline
55 & -0.137728 & -1.5764 & 0.058676 \tabularnewline
56 & -0.008245 & -0.0944 & 0.462482 \tabularnewline
57 & 0.026762 & 0.3063 & 0.37993 \tabularnewline
58 & -0.009397 & -0.1076 & 0.457258 \tabularnewline
59 & -0.021017 & -0.2405 & 0.40514 \tabularnewline
60 & 0.032042 & 0.3667 & 0.357204 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=113802&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]0.958682[/C][C]10.9726[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.01312[/C][C]0.1502[/C][C]0.440431[/C][/ROW]
[ROW][C]3[/C][C]-0.017233[/C][C]-0.1972[/C][C]0.421974[/C][/ROW]
[ROW][C]4[/C][C]0.003626[/C][C]0.0415[/C][C]0.483481[/C][/ROW]
[ROW][C]5[/C][C]-0.032399[/C][C]-0.3708[/C][C]0.355685[/C][/ROW]
[ROW][C]6[/C][C]-0.121416[/C][C]-1.3897[/C][C]0.083493[/C][/ROW]
[ROW][C]7[/C][C]0.03392[/C][C]0.3882[/C][C]0.349238[/C][/ROW]
[ROW][C]8[/C][C]0.101578[/C][C]1.1626[/C][C]0.123549[/C][/ROW]
[ROW][C]9[/C][C]0.037887[/C][C]0.4336[/C][C]0.332633[/C][/ROW]
[ROW][C]10[/C][C]0.009724[/C][C]0.1113[/C][C]0.455776[/C][/ROW]
[ROW][C]11[/C][C]0.022217[/C][C]0.2543[/C][C]0.399837[/C][/ROW]
[ROW][C]12[/C][C]-0.039015[/C][C]-0.4465[/C][C]0.32797[/C][/ROW]
[ROW][C]13[/C][C]-0.044745[/C][C]-0.5121[/C][C]0.304713[/C][/ROW]
[ROW][C]14[/C][C]0.049726[/C][C]0.5691[/C][C]0.285119[/C][/ROW]
[ROW][C]15[/C][C]0.038595[/C][C]0.4417[/C][C]0.329705[/C][/ROW]
[ROW][C]16[/C][C]-0.004346[/C][C]-0.0497[/C][C]0.480203[/C][/ROW]
[ROW][C]17[/C][C]-0.01153[/C][C]-0.132[/C][C]0.447607[/C][/ROW]
[ROW][C]18[/C][C]-0.006388[/C][C]-0.0731[/C][C]0.470915[/C][/ROW]
[ROW][C]19[/C][C]-0.034734[/C][C]-0.3975[/C][C]0.345806[/C][/ROW]
[ROW][C]20[/C][C]-0.020696[/C][C]-0.2369[/C][C]0.40656[/C][/ROW]
[ROW][C]21[/C][C]-0.058815[/C][C]-0.6732[/C][C]0.251014[/C][/ROW]
[ROW][C]22[/C][C]-0.039478[/C][C]-0.4519[/C][C]0.326061[/C][/ROW]
[ROW][C]23[/C][C]0.090686[/C][C]1.0379[/C][C]0.150603[/C][/ROW]
[ROW][C]24[/C][C]0.034935[/C][C]0.3999[/C][C]0.344958[/C][/ROW]
[ROW][C]25[/C][C]0.011599[/C][C]0.1328[/C][C]0.447294[/C][/ROW]
[ROW][C]26[/C][C]-0.01192[/C][C]-0.1364[/C][C]0.445846[/C][/ROW]
[ROW][C]27[/C][C]0.01796[/C][C]0.2056[/C][C]0.418725[/C][/ROW]
[ROW][C]28[/C][C]-0.048059[/C][C]-0.5501[/C][C]0.291608[/C][/ROW]
[ROW][C]29[/C][C]-0.086507[/C][C]-0.9901[/C][C]0.161971[/C][/ROW]
[ROW][C]30[/C][C]0.033187[/C][C]0.3798[/C][C]0.352337[/C][/ROW]
[ROW][C]31[/C][C]4e-04[/C][C]0.0046[/C][C]0.498175[/C][/ROW]
[ROW][C]32[/C][C]-0.027019[/C][C]-0.3092[/C][C]0.378813[/C][/ROW]
[ROW][C]33[/C][C]-0.061514[/C][C]-0.7041[/C][C]0.241323[/C][/ROW]
[ROW][C]34[/C][C]-0.028864[/C][C]-0.3304[/C][C]0.370829[/C][/ROW]
[ROW][C]35[/C][C]-0.032747[/C][C]-0.3748[/C][C]0.354203[/C][/ROW]
[ROW][C]36[/C][C]0.061988[/C][C]0.7095[/C][C]0.239644[/C][/ROW]
[ROW][C]37[/C][C]0.014696[/C][C]0.1682[/C][C]0.433341[/C][/ROW]
[ROW][C]38[/C][C]0.023831[/C][C]0.2728[/C][C]0.392733[/C][/ROW]
[ROW][C]39[/C][C]0.000959[/C][C]0.011[/C][C]0.495629[/C][/ROW]
[ROW][C]40[/C][C]-0.003022[/C][C]-0.0346[/C][C]0.486231[/C][/ROW]
[ROW][C]41[/C][C]-0.051718[/C][C]-0.5919[/C][C]0.277455[/C][/ROW]
[ROW][C]42[/C][C]-0.024418[/C][C]-0.2795[/C][C]0.390159[/C][/ROW]
[ROW][C]43[/C][C]-0.021181[/C][C]-0.2424[/C][C]0.404416[/C][/ROW]
[ROW][C]44[/C][C]-0.030105[/C][C]-0.3446[/C][C]0.365488[/C][/ROW]
[ROW][C]45[/C][C]0.029351[/C][C]0.3359[/C][C]0.368727[/C][/ROW]
[ROW][C]46[/C][C]-0.014776[/C][C]-0.1691[/C][C]0.432982[/C][/ROW]
[ROW][C]47[/C][C]0.006109[/C][C]0.0699[/C][C]0.472183[/C][/ROW]
[ROW][C]48[/C][C]-0.012783[/C][C]-0.1463[/C][C]0.441952[/C][/ROW]
[ROW][C]49[/C][C]-0.013786[/C][C]-0.1578[/C][C]0.437432[/C][/ROW]
[ROW][C]50[/C][C]-0.024762[/C][C]-0.2834[/C][C]0.388653[/C][/ROW]
[ROW][C]51[/C][C]-0.038881[/C][C]-0.445[/C][C]0.328521[/C][/ROW]
[ROW][C]52[/C][C]-0.041951[/C][C]-0.4801[/C][C]0.315962[/C][/ROW]
[ROW][C]53[/C][C]-0.04714[/C][C]-0.5395[/C][C]0.295216[/C][/ROW]
[ROW][C]54[/C][C]0.018247[/C][C]0.2088[/C][C]0.417446[/C][/ROW]
[ROW][C]55[/C][C]-0.137728[/C][C]-1.5764[/C][C]0.058676[/C][/ROW]
[ROW][C]56[/C][C]-0.008245[/C][C]-0.0944[/C][C]0.462482[/C][/ROW]
[ROW][C]57[/C][C]0.026762[/C][C]0.3063[/C][C]0.37993[/C][/ROW]
[ROW][C]58[/C][C]-0.009397[/C][C]-0.1076[/C][C]0.457258[/C][/ROW]
[ROW][C]59[/C][C]-0.021017[/C][C]-0.2405[/C][C]0.40514[/C][/ROW]
[ROW][C]60[/C][C]0.032042[/C][C]0.3667[/C][C]0.357204[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=113802&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=113802&T=2

As an alternative you can also use a QR Code:  

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

Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.95868210.97260
20.013120.15020.440431
3-0.017233-0.19720.421974
40.0036260.04150.483481
5-0.032399-0.37080.355685
6-0.121416-1.38970.083493
70.033920.38820.349238
80.1015781.16260.123549
90.0378870.43360.332633
100.0097240.11130.455776
110.0222170.25430.399837
12-0.039015-0.44650.32797
13-0.044745-0.51210.304713
140.0497260.56910.285119
150.0385950.44170.329705
16-0.004346-0.04970.480203
17-0.01153-0.1320.447607
18-0.006388-0.07310.470915
19-0.034734-0.39750.345806
20-0.020696-0.23690.40656
21-0.058815-0.67320.251014
22-0.039478-0.45190.326061
230.0906861.03790.150603
240.0349350.39990.344958
250.0115990.13280.447294
26-0.01192-0.13640.445846
270.017960.20560.418725
28-0.048059-0.55010.291608
29-0.086507-0.99010.161971
300.0331870.37980.352337
314e-040.00460.498175
32-0.027019-0.30920.378813
33-0.061514-0.70410.241323
34-0.028864-0.33040.370829
35-0.032747-0.37480.354203
360.0619880.70950.239644
370.0146960.16820.433341
380.0238310.27280.392733
390.0009590.0110.495629
40-0.003022-0.03460.486231
41-0.051718-0.59190.277455
42-0.024418-0.27950.390159
43-0.021181-0.24240.404416
44-0.030105-0.34460.365488
450.0293510.33590.368727
46-0.014776-0.16910.432982
470.0061090.06990.472183
48-0.012783-0.14630.441952
49-0.013786-0.15780.437432
50-0.024762-0.28340.388653
51-0.038881-0.4450.328521
52-0.041951-0.48010.315962
53-0.04714-0.53950.295216
540.0182470.20880.417446
55-0.137728-1.57640.058676
56-0.008245-0.09440.462482
570.0267620.30630.37993
58-0.009397-0.10760.457258
59-0.021017-0.24050.40514
600.0320420.36670.357204



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; 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)
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,hyperlink('basics.htm','ACF(k)','click here for more information about the Autocorrelation Function'),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,hyperlink('basics.htm','PACF(k)','click here for more information about the Partial Autocorrelation Function'),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')