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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 computationSun, 21 Dec 2008 04:44:38 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Dec/21/t12298599990teyf1389ndcrn2.htm/, Retrieved Sat, 18 May 2024 11:57:20 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=35515, Retrieved Sat, 18 May 2024 11:57:20 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact168
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Standard Deviation-Mean Plot] [SMP inschrijvinge...] [2008-12-21 10:55:25] [8d78428855b119373cac369316c08983]
- RM    [Variance Reduction Matrix] [VRM inschrijvinge...] [2008-12-21 11:14:53] [8d78428855b119373cac369316c08983]
- RMP       [(Partial) Autocorrelation Function] [(P)ACF inschrijvi...] [2008-12-21 11:44:38] [d6e9f26c3644bfc30f06303d9993b878] [Current]
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Dataseries X:
11.514
31.514
27.071
29.462
26.105
22.397
23.843
21.705
18.089
20.764
25.316
17704
15548
28029
29383
36438
32034
22679
24319
18004
17537
20366
22782
19169
13807
29743
25591
29096
26482
22405
27044
17970
18730
19684
19785
18479
10698
31956
29506
34506
27165
26736
23691
18157
17328
18205
20995
17382
9367
31124
26551
30651
25859
25100
25778
20418
18688
20424
24776
19814
12738




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35515&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35515&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35515&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 time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.070441-0.4880.313875
2-0.049197-0.34080.367354
30.0268480.1860.426611
4-0.014417-0.09990.460425
5-0.129312-0.89590.187388
60.0020850.01440.494267
70.1031690.71480.239105
80.0154190.10680.457687
90.0197790.1370.445788
10-0.221777-1.53650.065489
11-0.029934-0.20740.418292
12-0.125968-0.87270.193578
13-0.090418-0.62640.267
14-0.060783-0.42110.337775
150.0153990.10670.457741
160.0793350.54970.292554
170.1748971.21170.115775
18-0.159345-1.1040.137554
190.1337890.92690.179303
20-0.125763-0.87130.193962
21-0.028127-0.19490.42316
220.0037980.02630.489559
230.0355290.24620.403307
240.0915270.63410.264507
250.068830.47690.317809
260.0085430.05920.476524
27-0.080221-0.55580.290468
280.072250.50060.309484
29-0.15357-1.0640.146334
300.0419030.29030.386415
31-0.052768-0.36560.358139
32-0.009824-0.06810.473009
330.0544190.3770.353907
34-0.036307-0.25150.401235
35-0.077758-0.53870.296283
360.0207840.1440.443053
37-0.050825-0.35210.363143
38-0.029024-0.20110.420742
390.0556980.38590.350643
400.0095740.06630.473696
410.014070.09750.461376
420.0150540.10430.458684
430.0004530.00310.498753
440.0036040.0250.490091
450.0262620.1820.428194
46-0.010501-0.07280.471152
470.013260.09190.463593
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.070441 & -0.488 & 0.313875 \tabularnewline
2 & -0.049197 & -0.3408 & 0.367354 \tabularnewline
3 & 0.026848 & 0.186 & 0.426611 \tabularnewline
4 & -0.014417 & -0.0999 & 0.460425 \tabularnewline
5 & -0.129312 & -0.8959 & 0.187388 \tabularnewline
6 & 0.002085 & 0.0144 & 0.494267 \tabularnewline
7 & 0.103169 & 0.7148 & 0.239105 \tabularnewline
8 & 0.015419 & 0.1068 & 0.457687 \tabularnewline
9 & 0.019779 & 0.137 & 0.445788 \tabularnewline
10 & -0.221777 & -1.5365 & 0.065489 \tabularnewline
11 & -0.029934 & -0.2074 & 0.418292 \tabularnewline
12 & -0.125968 & -0.8727 & 0.193578 \tabularnewline
13 & -0.090418 & -0.6264 & 0.267 \tabularnewline
14 & -0.060783 & -0.4211 & 0.337775 \tabularnewline
15 & 0.015399 & 0.1067 & 0.457741 \tabularnewline
16 & 0.079335 & 0.5497 & 0.292554 \tabularnewline
17 & 0.174897 & 1.2117 & 0.115775 \tabularnewline
18 & -0.159345 & -1.104 & 0.137554 \tabularnewline
19 & 0.133789 & 0.9269 & 0.179303 \tabularnewline
20 & -0.125763 & -0.8713 & 0.193962 \tabularnewline
21 & -0.028127 & -0.1949 & 0.42316 \tabularnewline
22 & 0.003798 & 0.0263 & 0.489559 \tabularnewline
23 & 0.035529 & 0.2462 & 0.403307 \tabularnewline
24 & 0.091527 & 0.6341 & 0.264507 \tabularnewline
25 & 0.06883 & 0.4769 & 0.317809 \tabularnewline
26 & 0.008543 & 0.0592 & 0.476524 \tabularnewline
27 & -0.080221 & -0.5558 & 0.290468 \tabularnewline
28 & 0.07225 & 0.5006 & 0.309484 \tabularnewline
29 & -0.15357 & -1.064 & 0.146334 \tabularnewline
30 & 0.041903 & 0.2903 & 0.386415 \tabularnewline
31 & -0.052768 & -0.3656 & 0.358139 \tabularnewline
32 & -0.009824 & -0.0681 & 0.473009 \tabularnewline
33 & 0.054419 & 0.377 & 0.353907 \tabularnewline
34 & -0.036307 & -0.2515 & 0.401235 \tabularnewline
35 & -0.077758 & -0.5387 & 0.296283 \tabularnewline
36 & 0.020784 & 0.144 & 0.443053 \tabularnewline
37 & -0.050825 & -0.3521 & 0.363143 \tabularnewline
38 & -0.029024 & -0.2011 & 0.420742 \tabularnewline
39 & 0.055698 & 0.3859 & 0.350643 \tabularnewline
40 & 0.009574 & 0.0663 & 0.473696 \tabularnewline
41 & 0.01407 & 0.0975 & 0.461376 \tabularnewline
42 & 0.015054 & 0.1043 & 0.458684 \tabularnewline
43 & 0.000453 & 0.0031 & 0.498753 \tabularnewline
44 & 0.003604 & 0.025 & 0.490091 \tabularnewline
45 & 0.026262 & 0.182 & 0.428194 \tabularnewline
46 & -0.010501 & -0.0728 & 0.471152 \tabularnewline
47 & 0.01326 & 0.0919 & 0.463593 \tabularnewline
48 & NA & NA & NA \tabularnewline
49 & NA & NA & NA \tabularnewline
50 & NA & NA & NA \tabularnewline
51 & NA & NA & NA \tabularnewline
52 & NA & NA & NA \tabularnewline
53 & NA & NA & NA \tabularnewline
54 & NA & NA & NA \tabularnewline
55 & NA & NA & NA \tabularnewline
56 & NA & NA & NA \tabularnewline
57 & NA & NA & NA \tabularnewline
58 & NA & NA & NA \tabularnewline
59 & NA & NA & NA \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35515&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]-0.070441[/C][C]-0.488[/C][C]0.313875[/C][/ROW]
[ROW][C]2[/C][C]-0.049197[/C][C]-0.3408[/C][C]0.367354[/C][/ROW]
[ROW][C]3[/C][C]0.026848[/C][C]0.186[/C][C]0.426611[/C][/ROW]
[ROW][C]4[/C][C]-0.014417[/C][C]-0.0999[/C][C]0.460425[/C][/ROW]
[ROW][C]5[/C][C]-0.129312[/C][C]-0.8959[/C][C]0.187388[/C][/ROW]
[ROW][C]6[/C][C]0.002085[/C][C]0.0144[/C][C]0.494267[/C][/ROW]
[ROW][C]7[/C][C]0.103169[/C][C]0.7148[/C][C]0.239105[/C][/ROW]
[ROW][C]8[/C][C]0.015419[/C][C]0.1068[/C][C]0.457687[/C][/ROW]
[ROW][C]9[/C][C]0.019779[/C][C]0.137[/C][C]0.445788[/C][/ROW]
[ROW][C]10[/C][C]-0.221777[/C][C]-1.5365[/C][C]0.065489[/C][/ROW]
[ROW][C]11[/C][C]-0.029934[/C][C]-0.2074[/C][C]0.418292[/C][/ROW]
[ROW][C]12[/C][C]-0.125968[/C][C]-0.8727[/C][C]0.193578[/C][/ROW]
[ROW][C]13[/C][C]-0.090418[/C][C]-0.6264[/C][C]0.267[/C][/ROW]
[ROW][C]14[/C][C]-0.060783[/C][C]-0.4211[/C][C]0.337775[/C][/ROW]
[ROW][C]15[/C][C]0.015399[/C][C]0.1067[/C][C]0.457741[/C][/ROW]
[ROW][C]16[/C][C]0.079335[/C][C]0.5497[/C][C]0.292554[/C][/ROW]
[ROW][C]17[/C][C]0.174897[/C][C]1.2117[/C][C]0.115775[/C][/ROW]
[ROW][C]18[/C][C]-0.159345[/C][C]-1.104[/C][C]0.137554[/C][/ROW]
[ROW][C]19[/C][C]0.133789[/C][C]0.9269[/C][C]0.179303[/C][/ROW]
[ROW][C]20[/C][C]-0.125763[/C][C]-0.8713[/C][C]0.193962[/C][/ROW]
[ROW][C]21[/C][C]-0.028127[/C][C]-0.1949[/C][C]0.42316[/C][/ROW]
[ROW][C]22[/C][C]0.003798[/C][C]0.0263[/C][C]0.489559[/C][/ROW]
[ROW][C]23[/C][C]0.035529[/C][C]0.2462[/C][C]0.403307[/C][/ROW]
[ROW][C]24[/C][C]0.091527[/C][C]0.6341[/C][C]0.264507[/C][/ROW]
[ROW][C]25[/C][C]0.06883[/C][C]0.4769[/C][C]0.317809[/C][/ROW]
[ROW][C]26[/C][C]0.008543[/C][C]0.0592[/C][C]0.476524[/C][/ROW]
[ROW][C]27[/C][C]-0.080221[/C][C]-0.5558[/C][C]0.290468[/C][/ROW]
[ROW][C]28[/C][C]0.07225[/C][C]0.5006[/C][C]0.309484[/C][/ROW]
[ROW][C]29[/C][C]-0.15357[/C][C]-1.064[/C][C]0.146334[/C][/ROW]
[ROW][C]30[/C][C]0.041903[/C][C]0.2903[/C][C]0.386415[/C][/ROW]
[ROW][C]31[/C][C]-0.052768[/C][C]-0.3656[/C][C]0.358139[/C][/ROW]
[ROW][C]32[/C][C]-0.009824[/C][C]-0.0681[/C][C]0.473009[/C][/ROW]
[ROW][C]33[/C][C]0.054419[/C][C]0.377[/C][C]0.353907[/C][/ROW]
[ROW][C]34[/C][C]-0.036307[/C][C]-0.2515[/C][C]0.401235[/C][/ROW]
[ROW][C]35[/C][C]-0.077758[/C][C]-0.5387[/C][C]0.296283[/C][/ROW]
[ROW][C]36[/C][C]0.020784[/C][C]0.144[/C][C]0.443053[/C][/ROW]
[ROW][C]37[/C][C]-0.050825[/C][C]-0.3521[/C][C]0.363143[/C][/ROW]
[ROW][C]38[/C][C]-0.029024[/C][C]-0.2011[/C][C]0.420742[/C][/ROW]
[ROW][C]39[/C][C]0.055698[/C][C]0.3859[/C][C]0.350643[/C][/ROW]
[ROW][C]40[/C][C]0.009574[/C][C]0.0663[/C][C]0.473696[/C][/ROW]
[ROW][C]41[/C][C]0.01407[/C][C]0.0975[/C][C]0.461376[/C][/ROW]
[ROW][C]42[/C][C]0.015054[/C][C]0.1043[/C][C]0.458684[/C][/ROW]
[ROW][C]43[/C][C]0.000453[/C][C]0.0031[/C][C]0.498753[/C][/ROW]
[ROW][C]44[/C][C]0.003604[/C][C]0.025[/C][C]0.490091[/C][/ROW]
[ROW][C]45[/C][C]0.026262[/C][C]0.182[/C][C]0.428194[/C][/ROW]
[ROW][C]46[/C][C]-0.010501[/C][C]-0.0728[/C][C]0.471152[/C][/ROW]
[ROW][C]47[/C][C]0.01326[/C][C]0.0919[/C][C]0.463593[/C][/ROW]
[ROW][C]48[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]49[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]50[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]51[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]52[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]53[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]54[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]55[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]56[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]57[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]58[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]60[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35515&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35515&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
1-0.070441-0.4880.313875
2-0.049197-0.34080.367354
30.0268480.1860.426611
4-0.014417-0.09990.460425
5-0.129312-0.89590.187388
60.0020850.01440.494267
70.1031690.71480.239105
80.0154190.10680.457687
90.0197790.1370.445788
10-0.221777-1.53650.065489
11-0.029934-0.20740.418292
12-0.125968-0.87270.193578
13-0.090418-0.62640.267
14-0.060783-0.42110.337775
150.0153990.10670.457741
160.0793350.54970.292554
170.1748971.21170.115775
18-0.159345-1.1040.137554
190.1337890.92690.179303
20-0.125763-0.87130.193962
21-0.028127-0.19490.42316
220.0037980.02630.489559
230.0355290.24620.403307
240.0915270.63410.264507
250.068830.47690.317809
260.0085430.05920.476524
27-0.080221-0.55580.290468
280.072250.50060.309484
29-0.15357-1.0640.146334
300.0419030.29030.386415
31-0.052768-0.36560.358139
32-0.009824-0.06810.473009
330.0544190.3770.353907
34-0.036307-0.25150.401235
35-0.077758-0.53870.296283
360.0207840.1440.443053
37-0.050825-0.35210.363143
38-0.029024-0.20110.420742
390.0556980.38590.350643
400.0095740.06630.473696
410.014070.09750.461376
420.0150540.10430.458684
430.0004530.00310.498753
440.0036040.0250.490091
450.0262620.1820.428194
46-0.010501-0.07280.471152
470.013260.09190.463593
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.070441-0.4880.313875
2-0.054429-0.37710.353883
30.0195140.13520.44651
4-0.013798-0.09560.46212
5-0.130086-0.90130.185974
6-0.019428-0.13460.446745
70.0919750.63720.263503
80.0351980.24390.404189
90.0284270.19690.42235
10-0.245503-1.70090.047717
11-0.067968-0.47090.319924
12-0.137526-0.95280.172731
13-0.104392-0.72330.236518
14-0.115756-0.8020.213258
15-0.089517-0.62020.269031
160.0412490.28580.388138
170.2206031.52840.066491
18-0.141185-0.97820.166449
190.1634441.13240.131551
20-0.2126-1.47290.073648
210.0116710.08090.467946
22-0.071344-0.49430.311679
23-0.08882-0.61540.270611
240.0106710.07390.470687
250.0279880.19390.423533
26-0.015028-0.10410.458756
270.0736440.51020.306117
28-0.008419-0.05830.476865
290.0051730.03580.48578
30-0.015442-0.1070.457624
31-0.096684-0.66980.253082
32-0.09432-0.65350.258286
33-0.027363-0.18960.425219
34-0.097108-0.67280.252156
35-0.026175-0.18130.428429
36-0.051122-0.35420.362376
370.0642880.44540.329016
38-0.018952-0.13130.448042
390.0849570.58860.279445
40-0.044878-0.31090.378603
41-0.064039-0.44370.329637
42-0.06947-0.48130.316245
43-0.052394-0.3630.359101
44-0.070293-0.4870.314235
45-0.012611-0.08740.465371
46-0.003963-0.02750.489106
47-0.031254-0.21650.414743
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.070441 & -0.488 & 0.313875 \tabularnewline
2 & -0.054429 & -0.3771 & 0.353883 \tabularnewline
3 & 0.019514 & 0.1352 & 0.44651 \tabularnewline
4 & -0.013798 & -0.0956 & 0.46212 \tabularnewline
5 & -0.130086 & -0.9013 & 0.185974 \tabularnewline
6 & -0.019428 & -0.1346 & 0.446745 \tabularnewline
7 & 0.091975 & 0.6372 & 0.263503 \tabularnewline
8 & 0.035198 & 0.2439 & 0.404189 \tabularnewline
9 & 0.028427 & 0.1969 & 0.42235 \tabularnewline
10 & -0.245503 & -1.7009 & 0.047717 \tabularnewline
11 & -0.067968 & -0.4709 & 0.319924 \tabularnewline
12 & -0.137526 & -0.9528 & 0.172731 \tabularnewline
13 & -0.104392 & -0.7233 & 0.236518 \tabularnewline
14 & -0.115756 & -0.802 & 0.213258 \tabularnewline
15 & -0.089517 & -0.6202 & 0.269031 \tabularnewline
16 & 0.041249 & 0.2858 & 0.388138 \tabularnewline
17 & 0.220603 & 1.5284 & 0.066491 \tabularnewline
18 & -0.141185 & -0.9782 & 0.166449 \tabularnewline
19 & 0.163444 & 1.1324 & 0.131551 \tabularnewline
20 & -0.2126 & -1.4729 & 0.073648 \tabularnewline
21 & 0.011671 & 0.0809 & 0.467946 \tabularnewline
22 & -0.071344 & -0.4943 & 0.311679 \tabularnewline
23 & -0.08882 & -0.6154 & 0.270611 \tabularnewline
24 & 0.010671 & 0.0739 & 0.470687 \tabularnewline
25 & 0.027988 & 0.1939 & 0.423533 \tabularnewline
26 & -0.015028 & -0.1041 & 0.458756 \tabularnewline
27 & 0.073644 & 0.5102 & 0.306117 \tabularnewline
28 & -0.008419 & -0.0583 & 0.476865 \tabularnewline
29 & 0.005173 & 0.0358 & 0.48578 \tabularnewline
30 & -0.015442 & -0.107 & 0.457624 \tabularnewline
31 & -0.096684 & -0.6698 & 0.253082 \tabularnewline
32 & -0.09432 & -0.6535 & 0.258286 \tabularnewline
33 & -0.027363 & -0.1896 & 0.425219 \tabularnewline
34 & -0.097108 & -0.6728 & 0.252156 \tabularnewline
35 & -0.026175 & -0.1813 & 0.428429 \tabularnewline
36 & -0.051122 & -0.3542 & 0.362376 \tabularnewline
37 & 0.064288 & 0.4454 & 0.329016 \tabularnewline
38 & -0.018952 & -0.1313 & 0.448042 \tabularnewline
39 & 0.084957 & 0.5886 & 0.279445 \tabularnewline
40 & -0.044878 & -0.3109 & 0.378603 \tabularnewline
41 & -0.064039 & -0.4437 & 0.329637 \tabularnewline
42 & -0.06947 & -0.4813 & 0.316245 \tabularnewline
43 & -0.052394 & -0.363 & 0.359101 \tabularnewline
44 & -0.070293 & -0.487 & 0.314235 \tabularnewline
45 & -0.012611 & -0.0874 & 0.465371 \tabularnewline
46 & -0.003963 & -0.0275 & 0.489106 \tabularnewline
47 & -0.031254 & -0.2165 & 0.414743 \tabularnewline
48 & NA & NA & NA \tabularnewline
49 & NA & NA & NA \tabularnewline
50 & NA & NA & NA \tabularnewline
51 & NA & NA & NA \tabularnewline
52 & NA & NA & NA \tabularnewline
53 & NA & NA & NA \tabularnewline
54 & NA & NA & NA \tabularnewline
55 & NA & NA & NA \tabularnewline
56 & NA & NA & NA \tabularnewline
57 & NA & NA & NA \tabularnewline
58 & NA & NA & NA \tabularnewline
59 & NA & NA & NA \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35515&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]-0.070441[/C][C]-0.488[/C][C]0.313875[/C][/ROW]
[ROW][C]2[/C][C]-0.054429[/C][C]-0.3771[/C][C]0.353883[/C][/ROW]
[ROW][C]3[/C][C]0.019514[/C][C]0.1352[/C][C]0.44651[/C][/ROW]
[ROW][C]4[/C][C]-0.013798[/C][C]-0.0956[/C][C]0.46212[/C][/ROW]
[ROW][C]5[/C][C]-0.130086[/C][C]-0.9013[/C][C]0.185974[/C][/ROW]
[ROW][C]6[/C][C]-0.019428[/C][C]-0.1346[/C][C]0.446745[/C][/ROW]
[ROW][C]7[/C][C]0.091975[/C][C]0.6372[/C][C]0.263503[/C][/ROW]
[ROW][C]8[/C][C]0.035198[/C][C]0.2439[/C][C]0.404189[/C][/ROW]
[ROW][C]9[/C][C]0.028427[/C][C]0.1969[/C][C]0.42235[/C][/ROW]
[ROW][C]10[/C][C]-0.245503[/C][C]-1.7009[/C][C]0.047717[/C][/ROW]
[ROW][C]11[/C][C]-0.067968[/C][C]-0.4709[/C][C]0.319924[/C][/ROW]
[ROW][C]12[/C][C]-0.137526[/C][C]-0.9528[/C][C]0.172731[/C][/ROW]
[ROW][C]13[/C][C]-0.104392[/C][C]-0.7233[/C][C]0.236518[/C][/ROW]
[ROW][C]14[/C][C]-0.115756[/C][C]-0.802[/C][C]0.213258[/C][/ROW]
[ROW][C]15[/C][C]-0.089517[/C][C]-0.6202[/C][C]0.269031[/C][/ROW]
[ROW][C]16[/C][C]0.041249[/C][C]0.2858[/C][C]0.388138[/C][/ROW]
[ROW][C]17[/C][C]0.220603[/C][C]1.5284[/C][C]0.066491[/C][/ROW]
[ROW][C]18[/C][C]-0.141185[/C][C]-0.9782[/C][C]0.166449[/C][/ROW]
[ROW][C]19[/C][C]0.163444[/C][C]1.1324[/C][C]0.131551[/C][/ROW]
[ROW][C]20[/C][C]-0.2126[/C][C]-1.4729[/C][C]0.073648[/C][/ROW]
[ROW][C]21[/C][C]0.011671[/C][C]0.0809[/C][C]0.467946[/C][/ROW]
[ROW][C]22[/C][C]-0.071344[/C][C]-0.4943[/C][C]0.311679[/C][/ROW]
[ROW][C]23[/C][C]-0.08882[/C][C]-0.6154[/C][C]0.270611[/C][/ROW]
[ROW][C]24[/C][C]0.010671[/C][C]0.0739[/C][C]0.470687[/C][/ROW]
[ROW][C]25[/C][C]0.027988[/C][C]0.1939[/C][C]0.423533[/C][/ROW]
[ROW][C]26[/C][C]-0.015028[/C][C]-0.1041[/C][C]0.458756[/C][/ROW]
[ROW][C]27[/C][C]0.073644[/C][C]0.5102[/C][C]0.306117[/C][/ROW]
[ROW][C]28[/C][C]-0.008419[/C][C]-0.0583[/C][C]0.476865[/C][/ROW]
[ROW][C]29[/C][C]0.005173[/C][C]0.0358[/C][C]0.48578[/C][/ROW]
[ROW][C]30[/C][C]-0.015442[/C][C]-0.107[/C][C]0.457624[/C][/ROW]
[ROW][C]31[/C][C]-0.096684[/C][C]-0.6698[/C][C]0.253082[/C][/ROW]
[ROW][C]32[/C][C]-0.09432[/C][C]-0.6535[/C][C]0.258286[/C][/ROW]
[ROW][C]33[/C][C]-0.027363[/C][C]-0.1896[/C][C]0.425219[/C][/ROW]
[ROW][C]34[/C][C]-0.097108[/C][C]-0.6728[/C][C]0.252156[/C][/ROW]
[ROW][C]35[/C][C]-0.026175[/C][C]-0.1813[/C][C]0.428429[/C][/ROW]
[ROW][C]36[/C][C]-0.051122[/C][C]-0.3542[/C][C]0.362376[/C][/ROW]
[ROW][C]37[/C][C]0.064288[/C][C]0.4454[/C][C]0.329016[/C][/ROW]
[ROW][C]38[/C][C]-0.018952[/C][C]-0.1313[/C][C]0.448042[/C][/ROW]
[ROW][C]39[/C][C]0.084957[/C][C]0.5886[/C][C]0.279445[/C][/ROW]
[ROW][C]40[/C][C]-0.044878[/C][C]-0.3109[/C][C]0.378603[/C][/ROW]
[ROW][C]41[/C][C]-0.064039[/C][C]-0.4437[/C][C]0.329637[/C][/ROW]
[ROW][C]42[/C][C]-0.06947[/C][C]-0.4813[/C][C]0.316245[/C][/ROW]
[ROW][C]43[/C][C]-0.052394[/C][C]-0.363[/C][C]0.359101[/C][/ROW]
[ROW][C]44[/C][C]-0.070293[/C][C]-0.487[/C][C]0.314235[/C][/ROW]
[ROW][C]45[/C][C]-0.012611[/C][C]-0.0874[/C][C]0.465371[/C][/ROW]
[ROW][C]46[/C][C]-0.003963[/C][C]-0.0275[/C][C]0.489106[/C][/ROW]
[ROW][C]47[/C][C]-0.031254[/C][C]-0.2165[/C][C]0.414743[/C][/ROW]
[ROW][C]48[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]49[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]50[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]51[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]52[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]53[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]54[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]55[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]56[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]57[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]58[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]60[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35515&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35515&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
1-0.070441-0.4880.313875
2-0.054429-0.37710.353883
30.0195140.13520.44651
4-0.013798-0.09560.46212
5-0.130086-0.90130.185974
6-0.019428-0.13460.446745
70.0919750.63720.263503
80.0351980.24390.404189
90.0284270.19690.42235
10-0.245503-1.70090.047717
11-0.067968-0.47090.319924
12-0.137526-0.95280.172731
13-0.104392-0.72330.236518
14-0.115756-0.8020.213258
15-0.089517-0.62020.269031
160.0412490.28580.388138
170.2206031.52840.066491
18-0.141185-0.97820.166449
190.1634441.13240.131551
20-0.2126-1.47290.073648
210.0116710.08090.467946
22-0.071344-0.49430.311679
23-0.08882-0.61540.270611
240.0106710.07390.470687
250.0279880.19390.423533
26-0.015028-0.10410.458756
270.0736440.51020.306117
28-0.008419-0.05830.476865
290.0051730.03580.48578
30-0.015442-0.1070.457624
31-0.096684-0.66980.253082
32-0.09432-0.65350.258286
33-0.027363-0.18960.425219
34-0.097108-0.67280.252156
35-0.026175-0.18130.428429
36-0.051122-0.35420.362376
370.0642880.44540.329016
38-0.018952-0.13130.448042
390.0849570.58860.279445
40-0.044878-0.31090.378603
41-0.064039-0.44370.329637
42-0.06947-0.48130.316245
43-0.052394-0.3630.359101
44-0.070293-0.4870.314235
45-0.012611-0.08740.465371
46-0.003963-0.02750.489106
47-0.031254-0.21650.414743
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ;
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 (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='pic1.png')
racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
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')