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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationWed, 04 Dec 2013 17:20:35 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Dec/04/t1386195697p5wpi6cm71606ns.htm/, Retrieved Fri, 29 Mar 2024 12:19:50 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=230834, Retrieved Fri, 29 Mar 2024 12:19:50 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact84
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [] [2013-12-04 22:20:35] [5084d5e36b1f8e83675c5d3d354927b3] [Current]
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Dataseries X:
1.94
1.82
1.8
1.79
1.79
1.78
1.81
1.84
1.87
1.87
1.87
1.84
1.82
1.83
1.83
1.82
1.83
1.87
1.88
1.9
1.98
2.03
2.14
2.42
2.73
2.84
2.85
2.94
3.06
3.24
3.18
3.01
2.87
2.73
2.63
2.39
2.26
2.11
2.01
1.99
1.96
1.93
1.98
2.07
2.24
2.31
2.23
2.26
2.28
2.3
2.33
2.26
2.24
2.47
2.55
2.89
3.21
3.21
2.92
2.68
2.4
2.28
2.24
2.2
2.18
2.23
2.24
2.25
2.23
2.25
2.23
2.21
2.17
2.17
2.13
2.12
2.13
2.17
2.33
2.5
2.57
2.59
2.58
2.31




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net

\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 & 4 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=230834&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]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=230834&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=230834&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 time4 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.948778.69560
20.8345677.64890
30.6910786.33380
40.5395854.94542e-06
50.3954313.62420.000248
60.2625322.40610.009158
70.141071.29290.099791
80.0395990.36290.358783
9-0.044211-0.40520.343182
10-0.115207-1.05590.147023
11-0.175015-1.6040.056229
12-0.228082-2.09040.019802
13-0.274247-2.51350.006931
14-0.31021-2.84310.002804
15-0.335058-3.07090.001438
16-0.347561-3.18540.001014
17-0.346581-3.17650.001043
18-0.327825-3.00460.001752
19-0.286592-2.62670.005123
20-0.227992-2.08960.01984
21-0.157858-1.44680.075839
22-0.082983-0.76060.224527
23-0.008792-0.08060.467986
240.0571490.52380.300905
250.1112031.01920.155519
260.1445251.32460.09445
270.1578031.44630.075909
280.1632331.49610.069194
290.1673651.53390.064403
300.1689811.54870.062602
310.1660891.52220.065853
320.1501491.37610.086218
330.1175161.07710.14227
340.0745340.68310.248206
350.0304170.27880.39055
36-0.013922-0.12760.449385
37-0.055115-0.50510.307393
38-0.095162-0.87220.192801
39-0.130102-1.19240.11823
40-0.157469-1.44320.076338
41-0.178662-1.63750.052637
42-0.193373-1.77230.039986
43-0.200667-1.83910.034714
44-0.197139-1.80680.037187
45-0.181075-1.65960.050364
46-0.159713-1.46380.073491
47-0.13871-1.27130.103565
48-0.115918-1.06240.145548
49-0.095503-0.87530.191952
50-0.079026-0.72430.235451
51-0.067731-0.62080.268217
52-0.062419-0.57210.284399
53-0.059382-0.54420.293856
54-0.05204-0.4770.317316
55-0.040261-0.3690.356528
56-0.021728-0.19910.421318
57-0.000186-0.00170.499323
580.0142690.13080.44813
590.0180510.16540.434496
600.0176320.16160.436005

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.94877 & 8.6956 & 0 \tabularnewline
2 & 0.834567 & 7.6489 & 0 \tabularnewline
3 & 0.691078 & 6.3338 & 0 \tabularnewline
4 & 0.539585 & 4.9454 & 2e-06 \tabularnewline
5 & 0.395431 & 3.6242 & 0.000248 \tabularnewline
6 & 0.262532 & 2.4061 & 0.009158 \tabularnewline
7 & 0.14107 & 1.2929 & 0.099791 \tabularnewline
8 & 0.039599 & 0.3629 & 0.358783 \tabularnewline
9 & -0.044211 & -0.4052 & 0.343182 \tabularnewline
10 & -0.115207 & -1.0559 & 0.147023 \tabularnewline
11 & -0.175015 & -1.604 & 0.056229 \tabularnewline
12 & -0.228082 & -2.0904 & 0.019802 \tabularnewline
13 & -0.274247 & -2.5135 & 0.006931 \tabularnewline
14 & -0.31021 & -2.8431 & 0.002804 \tabularnewline
15 & -0.335058 & -3.0709 & 0.001438 \tabularnewline
16 & -0.347561 & -3.1854 & 0.001014 \tabularnewline
17 & -0.346581 & -3.1765 & 0.001043 \tabularnewline
18 & -0.327825 & -3.0046 & 0.001752 \tabularnewline
19 & -0.286592 & -2.6267 & 0.005123 \tabularnewline
20 & -0.227992 & -2.0896 & 0.01984 \tabularnewline
21 & -0.157858 & -1.4468 & 0.075839 \tabularnewline
22 & -0.082983 & -0.7606 & 0.224527 \tabularnewline
23 & -0.008792 & -0.0806 & 0.467986 \tabularnewline
24 & 0.057149 & 0.5238 & 0.300905 \tabularnewline
25 & 0.111203 & 1.0192 & 0.155519 \tabularnewline
26 & 0.144525 & 1.3246 & 0.09445 \tabularnewline
27 & 0.157803 & 1.4463 & 0.075909 \tabularnewline
28 & 0.163233 & 1.4961 & 0.069194 \tabularnewline
29 & 0.167365 & 1.5339 & 0.064403 \tabularnewline
30 & 0.168981 & 1.5487 & 0.062602 \tabularnewline
31 & 0.166089 & 1.5222 & 0.065853 \tabularnewline
32 & 0.150149 & 1.3761 & 0.086218 \tabularnewline
33 & 0.117516 & 1.0771 & 0.14227 \tabularnewline
34 & 0.074534 & 0.6831 & 0.248206 \tabularnewline
35 & 0.030417 & 0.2788 & 0.39055 \tabularnewline
36 & -0.013922 & -0.1276 & 0.449385 \tabularnewline
37 & -0.055115 & -0.5051 & 0.307393 \tabularnewline
38 & -0.095162 & -0.8722 & 0.192801 \tabularnewline
39 & -0.130102 & -1.1924 & 0.11823 \tabularnewline
40 & -0.157469 & -1.4432 & 0.076338 \tabularnewline
41 & -0.178662 & -1.6375 & 0.052637 \tabularnewline
42 & -0.193373 & -1.7723 & 0.039986 \tabularnewline
43 & -0.200667 & -1.8391 & 0.034714 \tabularnewline
44 & -0.197139 & -1.8068 & 0.037187 \tabularnewline
45 & -0.181075 & -1.6596 & 0.050364 \tabularnewline
46 & -0.159713 & -1.4638 & 0.073491 \tabularnewline
47 & -0.13871 & -1.2713 & 0.103565 \tabularnewline
48 & -0.115918 & -1.0624 & 0.145548 \tabularnewline
49 & -0.095503 & -0.8753 & 0.191952 \tabularnewline
50 & -0.079026 & -0.7243 & 0.235451 \tabularnewline
51 & -0.067731 & -0.6208 & 0.268217 \tabularnewline
52 & -0.062419 & -0.5721 & 0.284399 \tabularnewline
53 & -0.059382 & -0.5442 & 0.293856 \tabularnewline
54 & -0.05204 & -0.477 & 0.317316 \tabularnewline
55 & -0.040261 & -0.369 & 0.356528 \tabularnewline
56 & -0.021728 & -0.1991 & 0.421318 \tabularnewline
57 & -0.000186 & -0.0017 & 0.499323 \tabularnewline
58 & 0.014269 & 0.1308 & 0.44813 \tabularnewline
59 & 0.018051 & 0.1654 & 0.434496 \tabularnewline
60 & 0.017632 & 0.1616 & 0.436005 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=230834&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]0.94877[/C][C]8.6956[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.834567[/C][C]7.6489[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.691078[/C][C]6.3338[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.539585[/C][C]4.9454[/C][C]2e-06[/C][/ROW]
[ROW][C]5[/C][C]0.395431[/C][C]3.6242[/C][C]0.000248[/C][/ROW]
[ROW][C]6[/C][C]0.262532[/C][C]2.4061[/C][C]0.009158[/C][/ROW]
[ROW][C]7[/C][C]0.14107[/C][C]1.2929[/C][C]0.099791[/C][/ROW]
[ROW][C]8[/C][C]0.039599[/C][C]0.3629[/C][C]0.358783[/C][/ROW]
[ROW][C]9[/C][C]-0.044211[/C][C]-0.4052[/C][C]0.343182[/C][/ROW]
[ROW][C]10[/C][C]-0.115207[/C][C]-1.0559[/C][C]0.147023[/C][/ROW]
[ROW][C]11[/C][C]-0.175015[/C][C]-1.604[/C][C]0.056229[/C][/ROW]
[ROW][C]12[/C][C]-0.228082[/C][C]-2.0904[/C][C]0.019802[/C][/ROW]
[ROW][C]13[/C][C]-0.274247[/C][C]-2.5135[/C][C]0.006931[/C][/ROW]
[ROW][C]14[/C][C]-0.31021[/C][C]-2.8431[/C][C]0.002804[/C][/ROW]
[ROW][C]15[/C][C]-0.335058[/C][C]-3.0709[/C][C]0.001438[/C][/ROW]
[ROW][C]16[/C][C]-0.347561[/C][C]-3.1854[/C][C]0.001014[/C][/ROW]
[ROW][C]17[/C][C]-0.346581[/C][C]-3.1765[/C][C]0.001043[/C][/ROW]
[ROW][C]18[/C][C]-0.327825[/C][C]-3.0046[/C][C]0.001752[/C][/ROW]
[ROW][C]19[/C][C]-0.286592[/C][C]-2.6267[/C][C]0.005123[/C][/ROW]
[ROW][C]20[/C][C]-0.227992[/C][C]-2.0896[/C][C]0.01984[/C][/ROW]
[ROW][C]21[/C][C]-0.157858[/C][C]-1.4468[/C][C]0.075839[/C][/ROW]
[ROW][C]22[/C][C]-0.082983[/C][C]-0.7606[/C][C]0.224527[/C][/ROW]
[ROW][C]23[/C][C]-0.008792[/C][C]-0.0806[/C][C]0.467986[/C][/ROW]
[ROW][C]24[/C][C]0.057149[/C][C]0.5238[/C][C]0.300905[/C][/ROW]
[ROW][C]25[/C][C]0.111203[/C][C]1.0192[/C][C]0.155519[/C][/ROW]
[ROW][C]26[/C][C]0.144525[/C][C]1.3246[/C][C]0.09445[/C][/ROW]
[ROW][C]27[/C][C]0.157803[/C][C]1.4463[/C][C]0.075909[/C][/ROW]
[ROW][C]28[/C][C]0.163233[/C][C]1.4961[/C][C]0.069194[/C][/ROW]
[ROW][C]29[/C][C]0.167365[/C][C]1.5339[/C][C]0.064403[/C][/ROW]
[ROW][C]30[/C][C]0.168981[/C][C]1.5487[/C][C]0.062602[/C][/ROW]
[ROW][C]31[/C][C]0.166089[/C][C]1.5222[/C][C]0.065853[/C][/ROW]
[ROW][C]32[/C][C]0.150149[/C][C]1.3761[/C][C]0.086218[/C][/ROW]
[ROW][C]33[/C][C]0.117516[/C][C]1.0771[/C][C]0.14227[/C][/ROW]
[ROW][C]34[/C][C]0.074534[/C][C]0.6831[/C][C]0.248206[/C][/ROW]
[ROW][C]35[/C][C]0.030417[/C][C]0.2788[/C][C]0.39055[/C][/ROW]
[ROW][C]36[/C][C]-0.013922[/C][C]-0.1276[/C][C]0.449385[/C][/ROW]
[ROW][C]37[/C][C]-0.055115[/C][C]-0.5051[/C][C]0.307393[/C][/ROW]
[ROW][C]38[/C][C]-0.095162[/C][C]-0.8722[/C][C]0.192801[/C][/ROW]
[ROW][C]39[/C][C]-0.130102[/C][C]-1.1924[/C][C]0.11823[/C][/ROW]
[ROW][C]40[/C][C]-0.157469[/C][C]-1.4432[/C][C]0.076338[/C][/ROW]
[ROW][C]41[/C][C]-0.178662[/C][C]-1.6375[/C][C]0.052637[/C][/ROW]
[ROW][C]42[/C][C]-0.193373[/C][C]-1.7723[/C][C]0.039986[/C][/ROW]
[ROW][C]43[/C][C]-0.200667[/C][C]-1.8391[/C][C]0.034714[/C][/ROW]
[ROW][C]44[/C][C]-0.197139[/C][C]-1.8068[/C][C]0.037187[/C][/ROW]
[ROW][C]45[/C][C]-0.181075[/C][C]-1.6596[/C][C]0.050364[/C][/ROW]
[ROW][C]46[/C][C]-0.159713[/C][C]-1.4638[/C][C]0.073491[/C][/ROW]
[ROW][C]47[/C][C]-0.13871[/C][C]-1.2713[/C][C]0.103565[/C][/ROW]
[ROW][C]48[/C][C]-0.115918[/C][C]-1.0624[/C][C]0.145548[/C][/ROW]
[ROW][C]49[/C][C]-0.095503[/C][C]-0.8753[/C][C]0.191952[/C][/ROW]
[ROW][C]50[/C][C]-0.079026[/C][C]-0.7243[/C][C]0.235451[/C][/ROW]
[ROW][C]51[/C][C]-0.067731[/C][C]-0.6208[/C][C]0.268217[/C][/ROW]
[ROW][C]52[/C][C]-0.062419[/C][C]-0.5721[/C][C]0.284399[/C][/ROW]
[ROW][C]53[/C][C]-0.059382[/C][C]-0.5442[/C][C]0.293856[/C][/ROW]
[ROW][C]54[/C][C]-0.05204[/C][C]-0.477[/C][C]0.317316[/C][/ROW]
[ROW][C]55[/C][C]-0.040261[/C][C]-0.369[/C][C]0.356528[/C][/ROW]
[ROW][C]56[/C][C]-0.021728[/C][C]-0.1991[/C][C]0.421318[/C][/ROW]
[ROW][C]57[/C][C]-0.000186[/C][C]-0.0017[/C][C]0.499323[/C][/ROW]
[ROW][C]58[/C][C]0.014269[/C][C]0.1308[/C][C]0.44813[/C][/ROW]
[ROW][C]59[/C][C]0.018051[/C][C]0.1654[/C][C]0.434496[/C][/ROW]
[ROW][C]60[/C][C]0.017632[/C][C]0.1616[/C][C]0.436005[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=230834&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=230834&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
10.948778.69560
20.8345677.64890
30.6910786.33380
40.5395854.94542e-06
50.3954313.62420.000248
60.2625322.40610.009158
70.141071.29290.099791
80.0395990.36290.358783
9-0.044211-0.40520.343182
10-0.115207-1.05590.147023
11-0.175015-1.6040.056229
12-0.228082-2.09040.019802
13-0.274247-2.51350.006931
14-0.31021-2.84310.002804
15-0.335058-3.07090.001438
16-0.347561-3.18540.001014
17-0.346581-3.17650.001043
18-0.327825-3.00460.001752
19-0.286592-2.62670.005123
20-0.227992-2.08960.01984
21-0.157858-1.44680.075839
22-0.082983-0.76060.224527
23-0.008792-0.08060.467986
240.0571490.52380.300905
250.1112031.01920.155519
260.1445251.32460.09445
270.1578031.44630.075909
280.1632331.49610.069194
290.1673651.53390.064403
300.1689811.54870.062602
310.1660891.52220.065853
320.1501491.37610.086218
330.1175161.07710.14227
340.0745340.68310.248206
350.0304170.27880.39055
36-0.013922-0.12760.449385
37-0.055115-0.50510.307393
38-0.095162-0.87220.192801
39-0.130102-1.19240.11823
40-0.157469-1.44320.076338
41-0.178662-1.63750.052637
42-0.193373-1.77230.039986
43-0.200667-1.83910.034714
44-0.197139-1.80680.037187
45-0.181075-1.65960.050364
46-0.159713-1.46380.073491
47-0.13871-1.27130.103565
48-0.115918-1.06240.145548
49-0.095503-0.87530.191952
50-0.079026-0.72430.235451
51-0.067731-0.62080.268217
52-0.062419-0.57210.284399
53-0.059382-0.54420.293856
54-0.05204-0.4770.317316
55-0.040261-0.3690.356528
56-0.021728-0.19910.421318
57-0.000186-0.00170.499323
580.0142690.13080.44813
590.0180510.16540.434496
600.0176320.16160.436005







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.948778.69560
2-0.65705-6.0220
30.0422160.38690.3499
4-0.042028-0.38520.350535
50.0118830.10890.456768
6-0.101036-0.9260.178547
7-0.060913-0.55830.289072
80.0989950.90730.18342
9-0.123792-1.13460.12989
10-0.064863-0.59450.276894
11-0.031272-0.28660.387559
12-0.083703-0.76710.222572
13-0.017628-0.16160.436017
14-0.024939-0.22860.40988
15-0.013786-0.12640.449877
16-0.012727-0.11660.45371
17-0.006406-0.05870.47666
180.100220.91850.180486
190.0796230.72980.233786
20-0.037658-0.34510.365427
210.0503950.46190.32268
220.0077470.0710.471783
230.0389480.3570.361006
24-0.071606-0.65630.25672
250.0175620.1610.436255
26-0.114742-1.05160.147993
270.0183130.16780.433556
280.1398271.28150.101766
29-0.005596-0.05130.479608
30-0.062224-0.57030.285001
31-0.021613-0.19810.421727
32-0.100503-0.92110.179812
33-0.06859-0.62860.265646
340.0116090.10640.457761
350.0946870.86780.193983
36-0.083645-0.76660.222729
370.0289940.26570.395547
38-0.050435-0.46220.322549
390.0549950.5040.307776
40-0.062369-0.57160.284552
41-0.035686-0.32710.372215
420.0332350.30460.380712
43-0.017877-0.16380.435124
440.0383490.35150.363056
450.0137170.12570.450129
46-0.096171-0.88140.190301
47-0.010164-0.09320.463001
480.0549570.50370.3079
49-0.082254-0.75390.226518
50-0.061476-0.56340.287318
51-0.063577-0.58270.28083
520.0291550.26720.394982
53-0.019004-0.17420.431072
540.0063780.05850.476764
550.0252320.23130.408839
560.0426870.39120.348309
57-0.013296-0.12190.451652
58-0.109434-1.0030.159375
59-0.007359-0.06750.473192
600.0331150.30350.381127

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.94877 & 8.6956 & 0 \tabularnewline
2 & -0.65705 & -6.022 & 0 \tabularnewline
3 & 0.042216 & 0.3869 & 0.3499 \tabularnewline
4 & -0.042028 & -0.3852 & 0.350535 \tabularnewline
5 & 0.011883 & 0.1089 & 0.456768 \tabularnewline
6 & -0.101036 & -0.926 & 0.178547 \tabularnewline
7 & -0.060913 & -0.5583 & 0.289072 \tabularnewline
8 & 0.098995 & 0.9073 & 0.18342 \tabularnewline
9 & -0.123792 & -1.1346 & 0.12989 \tabularnewline
10 & -0.064863 & -0.5945 & 0.276894 \tabularnewline
11 & -0.031272 & -0.2866 & 0.387559 \tabularnewline
12 & -0.083703 & -0.7671 & 0.222572 \tabularnewline
13 & -0.017628 & -0.1616 & 0.436017 \tabularnewline
14 & -0.024939 & -0.2286 & 0.40988 \tabularnewline
15 & -0.013786 & -0.1264 & 0.449877 \tabularnewline
16 & -0.012727 & -0.1166 & 0.45371 \tabularnewline
17 & -0.006406 & -0.0587 & 0.47666 \tabularnewline
18 & 0.10022 & 0.9185 & 0.180486 \tabularnewline
19 & 0.079623 & 0.7298 & 0.233786 \tabularnewline
20 & -0.037658 & -0.3451 & 0.365427 \tabularnewline
21 & 0.050395 & 0.4619 & 0.32268 \tabularnewline
22 & 0.007747 & 0.071 & 0.471783 \tabularnewline
23 & 0.038948 & 0.357 & 0.361006 \tabularnewline
24 & -0.071606 & -0.6563 & 0.25672 \tabularnewline
25 & 0.017562 & 0.161 & 0.436255 \tabularnewline
26 & -0.114742 & -1.0516 & 0.147993 \tabularnewline
27 & 0.018313 & 0.1678 & 0.433556 \tabularnewline
28 & 0.139827 & 1.2815 & 0.101766 \tabularnewline
29 & -0.005596 & -0.0513 & 0.479608 \tabularnewline
30 & -0.062224 & -0.5703 & 0.285001 \tabularnewline
31 & -0.021613 & -0.1981 & 0.421727 \tabularnewline
32 & -0.100503 & -0.9211 & 0.179812 \tabularnewline
33 & -0.06859 & -0.6286 & 0.265646 \tabularnewline
34 & 0.011609 & 0.1064 & 0.457761 \tabularnewline
35 & 0.094687 & 0.8678 & 0.193983 \tabularnewline
36 & -0.083645 & -0.7666 & 0.222729 \tabularnewline
37 & 0.028994 & 0.2657 & 0.395547 \tabularnewline
38 & -0.050435 & -0.4622 & 0.322549 \tabularnewline
39 & 0.054995 & 0.504 & 0.307776 \tabularnewline
40 & -0.062369 & -0.5716 & 0.284552 \tabularnewline
41 & -0.035686 & -0.3271 & 0.372215 \tabularnewline
42 & 0.033235 & 0.3046 & 0.380712 \tabularnewline
43 & -0.017877 & -0.1638 & 0.435124 \tabularnewline
44 & 0.038349 & 0.3515 & 0.363056 \tabularnewline
45 & 0.013717 & 0.1257 & 0.450129 \tabularnewline
46 & -0.096171 & -0.8814 & 0.190301 \tabularnewline
47 & -0.010164 & -0.0932 & 0.463001 \tabularnewline
48 & 0.054957 & 0.5037 & 0.3079 \tabularnewline
49 & -0.082254 & -0.7539 & 0.226518 \tabularnewline
50 & -0.061476 & -0.5634 & 0.287318 \tabularnewline
51 & -0.063577 & -0.5827 & 0.28083 \tabularnewline
52 & 0.029155 & 0.2672 & 0.394982 \tabularnewline
53 & -0.019004 & -0.1742 & 0.431072 \tabularnewline
54 & 0.006378 & 0.0585 & 0.476764 \tabularnewline
55 & 0.025232 & 0.2313 & 0.408839 \tabularnewline
56 & 0.042687 & 0.3912 & 0.348309 \tabularnewline
57 & -0.013296 & -0.1219 & 0.451652 \tabularnewline
58 & -0.109434 & -1.003 & 0.159375 \tabularnewline
59 & -0.007359 & -0.0675 & 0.473192 \tabularnewline
60 & 0.033115 & 0.3035 & 0.381127 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=230834&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]0.94877[/C][C]8.6956[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.65705[/C][C]-6.022[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.042216[/C][C]0.3869[/C][C]0.3499[/C][/ROW]
[ROW][C]4[/C][C]-0.042028[/C][C]-0.3852[/C][C]0.350535[/C][/ROW]
[ROW][C]5[/C][C]0.011883[/C][C]0.1089[/C][C]0.456768[/C][/ROW]
[ROW][C]6[/C][C]-0.101036[/C][C]-0.926[/C][C]0.178547[/C][/ROW]
[ROW][C]7[/C][C]-0.060913[/C][C]-0.5583[/C][C]0.289072[/C][/ROW]
[ROW][C]8[/C][C]0.098995[/C][C]0.9073[/C][C]0.18342[/C][/ROW]
[ROW][C]9[/C][C]-0.123792[/C][C]-1.1346[/C][C]0.12989[/C][/ROW]
[ROW][C]10[/C][C]-0.064863[/C][C]-0.5945[/C][C]0.276894[/C][/ROW]
[ROW][C]11[/C][C]-0.031272[/C][C]-0.2866[/C][C]0.387559[/C][/ROW]
[ROW][C]12[/C][C]-0.083703[/C][C]-0.7671[/C][C]0.222572[/C][/ROW]
[ROW][C]13[/C][C]-0.017628[/C][C]-0.1616[/C][C]0.436017[/C][/ROW]
[ROW][C]14[/C][C]-0.024939[/C][C]-0.2286[/C][C]0.40988[/C][/ROW]
[ROW][C]15[/C][C]-0.013786[/C][C]-0.1264[/C][C]0.449877[/C][/ROW]
[ROW][C]16[/C][C]-0.012727[/C][C]-0.1166[/C][C]0.45371[/C][/ROW]
[ROW][C]17[/C][C]-0.006406[/C][C]-0.0587[/C][C]0.47666[/C][/ROW]
[ROW][C]18[/C][C]0.10022[/C][C]0.9185[/C][C]0.180486[/C][/ROW]
[ROW][C]19[/C][C]0.079623[/C][C]0.7298[/C][C]0.233786[/C][/ROW]
[ROW][C]20[/C][C]-0.037658[/C][C]-0.3451[/C][C]0.365427[/C][/ROW]
[ROW][C]21[/C][C]0.050395[/C][C]0.4619[/C][C]0.32268[/C][/ROW]
[ROW][C]22[/C][C]0.007747[/C][C]0.071[/C][C]0.471783[/C][/ROW]
[ROW][C]23[/C][C]0.038948[/C][C]0.357[/C][C]0.361006[/C][/ROW]
[ROW][C]24[/C][C]-0.071606[/C][C]-0.6563[/C][C]0.25672[/C][/ROW]
[ROW][C]25[/C][C]0.017562[/C][C]0.161[/C][C]0.436255[/C][/ROW]
[ROW][C]26[/C][C]-0.114742[/C][C]-1.0516[/C][C]0.147993[/C][/ROW]
[ROW][C]27[/C][C]0.018313[/C][C]0.1678[/C][C]0.433556[/C][/ROW]
[ROW][C]28[/C][C]0.139827[/C][C]1.2815[/C][C]0.101766[/C][/ROW]
[ROW][C]29[/C][C]-0.005596[/C][C]-0.0513[/C][C]0.479608[/C][/ROW]
[ROW][C]30[/C][C]-0.062224[/C][C]-0.5703[/C][C]0.285001[/C][/ROW]
[ROW][C]31[/C][C]-0.021613[/C][C]-0.1981[/C][C]0.421727[/C][/ROW]
[ROW][C]32[/C][C]-0.100503[/C][C]-0.9211[/C][C]0.179812[/C][/ROW]
[ROW][C]33[/C][C]-0.06859[/C][C]-0.6286[/C][C]0.265646[/C][/ROW]
[ROW][C]34[/C][C]0.011609[/C][C]0.1064[/C][C]0.457761[/C][/ROW]
[ROW][C]35[/C][C]0.094687[/C][C]0.8678[/C][C]0.193983[/C][/ROW]
[ROW][C]36[/C][C]-0.083645[/C][C]-0.7666[/C][C]0.222729[/C][/ROW]
[ROW][C]37[/C][C]0.028994[/C][C]0.2657[/C][C]0.395547[/C][/ROW]
[ROW][C]38[/C][C]-0.050435[/C][C]-0.4622[/C][C]0.322549[/C][/ROW]
[ROW][C]39[/C][C]0.054995[/C][C]0.504[/C][C]0.307776[/C][/ROW]
[ROW][C]40[/C][C]-0.062369[/C][C]-0.5716[/C][C]0.284552[/C][/ROW]
[ROW][C]41[/C][C]-0.035686[/C][C]-0.3271[/C][C]0.372215[/C][/ROW]
[ROW][C]42[/C][C]0.033235[/C][C]0.3046[/C][C]0.380712[/C][/ROW]
[ROW][C]43[/C][C]-0.017877[/C][C]-0.1638[/C][C]0.435124[/C][/ROW]
[ROW][C]44[/C][C]0.038349[/C][C]0.3515[/C][C]0.363056[/C][/ROW]
[ROW][C]45[/C][C]0.013717[/C][C]0.1257[/C][C]0.450129[/C][/ROW]
[ROW][C]46[/C][C]-0.096171[/C][C]-0.8814[/C][C]0.190301[/C][/ROW]
[ROW][C]47[/C][C]-0.010164[/C][C]-0.0932[/C][C]0.463001[/C][/ROW]
[ROW][C]48[/C][C]0.054957[/C][C]0.5037[/C][C]0.3079[/C][/ROW]
[ROW][C]49[/C][C]-0.082254[/C][C]-0.7539[/C][C]0.226518[/C][/ROW]
[ROW][C]50[/C][C]-0.061476[/C][C]-0.5634[/C][C]0.287318[/C][/ROW]
[ROW][C]51[/C][C]-0.063577[/C][C]-0.5827[/C][C]0.28083[/C][/ROW]
[ROW][C]52[/C][C]0.029155[/C][C]0.2672[/C][C]0.394982[/C][/ROW]
[ROW][C]53[/C][C]-0.019004[/C][C]-0.1742[/C][C]0.431072[/C][/ROW]
[ROW][C]54[/C][C]0.006378[/C][C]0.0585[/C][C]0.476764[/C][/ROW]
[ROW][C]55[/C][C]0.025232[/C][C]0.2313[/C][C]0.408839[/C][/ROW]
[ROW][C]56[/C][C]0.042687[/C][C]0.3912[/C][C]0.348309[/C][/ROW]
[ROW][C]57[/C][C]-0.013296[/C][C]-0.1219[/C][C]0.451652[/C][/ROW]
[ROW][C]58[/C][C]-0.109434[/C][C]-1.003[/C][C]0.159375[/C][/ROW]
[ROW][C]59[/C][C]-0.007359[/C][C]-0.0675[/C][C]0.473192[/C][/ROW]
[ROW][C]60[/C][C]0.033115[/C][C]0.3035[/C][C]0.381127[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=230834&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=230834&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
10.948778.69560
2-0.65705-6.0220
30.0422160.38690.3499
4-0.042028-0.38520.350535
50.0118830.10890.456768
6-0.101036-0.9260.178547
7-0.060913-0.55830.289072
80.0989950.90730.18342
9-0.123792-1.13460.12989
10-0.064863-0.59450.276894
11-0.031272-0.28660.387559
12-0.083703-0.76710.222572
13-0.017628-0.16160.436017
14-0.024939-0.22860.40988
15-0.013786-0.12640.449877
16-0.012727-0.11660.45371
17-0.006406-0.05870.47666
180.100220.91850.180486
190.0796230.72980.233786
20-0.037658-0.34510.365427
210.0503950.46190.32268
220.0077470.0710.471783
230.0389480.3570.361006
24-0.071606-0.65630.25672
250.0175620.1610.436255
26-0.114742-1.05160.147993
270.0183130.16780.433556
280.1398271.28150.101766
29-0.005596-0.05130.479608
30-0.062224-0.57030.285001
31-0.021613-0.19810.421727
32-0.100503-0.92110.179812
33-0.06859-0.62860.265646
340.0116090.10640.457761
350.0946870.86780.193983
36-0.083645-0.76660.222729
370.0289940.26570.395547
38-0.050435-0.46220.322549
390.0549950.5040.307776
40-0.062369-0.57160.284552
41-0.035686-0.32710.372215
420.0332350.30460.380712
43-0.017877-0.16380.435124
440.0383490.35150.363056
450.0137170.12570.450129
46-0.096171-0.88140.190301
47-0.010164-0.09320.463001
480.0549570.50370.3079
49-0.082254-0.75390.226518
50-0.061476-0.56340.287318
51-0.063577-0.58270.28083
520.0291550.26720.394982
53-0.019004-0.17420.431072
540.0063780.05850.476764
550.0252320.23130.408839
560.0426870.39120.348309
57-0.013296-0.12190.451652
58-0.109434-1.0030.159375
59-0.007359-0.06750.473192
600.0331150.30350.381127



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')