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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationTue, 09 Dec 2008 07:08:55 -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/09/t1228831769lw064b9co7nco04.htm/, Retrieved Sun, 19 May 2024 12:19:21 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=31425, Retrieved Sun, 19 May 2024 12:19:21 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact145
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [] [2008-12-09 14:08:55] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
137.0
135.9
138.1
137.1
135.1
139.6
131.8
136.7
128.9
131.3
129.5
129.0
129.8
125.4
128.6
130.2
124.6
123.7
124.4
119.2
124.4
123.1
120.9
120.9
117.8
113.6
113.2
115.9
121.1
107.6
114.7
112.8
112.1
109.8
108.5
102.7
110.6
108.2
112.7
107.9
102.7
108.4
108.4
106.9
108.9
103.7
103.6
111.6
105.5
105.5
101.3
103.8
100.3
108.2
105.6
103.0
100.5
104.3
99.1
91.5




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 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 & 4 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=31425&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]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=31425&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31425&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'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.502856-3.86250.000141
20.0758950.5830.281072
3-0.056424-0.43340.333152
40.0042530.03270.487024
5-0.010018-0.07690.469463
60.1604981.23280.111268
7-0.19766-1.51830.067145
80.0790730.60740.272969
9-0.134516-1.03320.152854
100.2014691.54750.063543
110.086120.66150.255434
12-0.279351-2.14570.01801
130.1664621.27860.103019
14-0.141354-1.08580.141001
150.0035750.02750.489094
160.1755351.34830.091357
17-0.042373-0.32550.372988
18-0.153066-1.17570.122214
190.1478191.13540.130395
20-0.178628-1.37210.087618
210.2551431.95980.027375
22-0.30508-2.34340.01125
230.2011481.5450.063841
24-0.131603-1.01090.158105
250.0259690.19950.421291
260.0447560.34380.366118
270.1460871.12210.133179
28-0.270663-2.0790.020987
290.1637421.25770.106722
30-0.066067-0.50750.306857
310.0061210.0470.48133
32-0.030789-0.23650.406935
330.0501540.38520.350721
340.008340.06410.47457
35-0.017852-0.13710.4457
360.0035480.02730.489174
370.0438380.33670.368759
38-0.068456-0.52580.300491
390.0267070.20510.419084
400.0412980.31720.376099
41-0.113213-0.86960.19402
420.1460071.12150.133309
43-0.065818-0.50560.307525
440.0436090.3350.369419
45-0.087441-0.67160.252215
460.0867250.66610.253957
47-0.082637-0.63470.264024
480.0611780.46990.320074
49-0.039427-0.30280.381537
500.0254420.19540.422865
510.0096240.07390.470661
520.0094390.07250.471222
530.0128130.09840.460966
54-0.031714-0.24360.404193
550.0206730.15880.437187
56-0.011497-0.08830.464965
57-0.016529-0.1270.449701
580.0019710.01510.493987
59NANANA
60NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.502856 & -3.8625 & 0.000141 \tabularnewline
2 & 0.075895 & 0.583 & 0.281072 \tabularnewline
3 & -0.056424 & -0.4334 & 0.333152 \tabularnewline
4 & 0.004253 & 0.0327 & 0.487024 \tabularnewline
5 & -0.010018 & -0.0769 & 0.469463 \tabularnewline
6 & 0.160498 & 1.2328 & 0.111268 \tabularnewline
7 & -0.19766 & -1.5183 & 0.067145 \tabularnewline
8 & 0.079073 & 0.6074 & 0.272969 \tabularnewline
9 & -0.134516 & -1.0332 & 0.152854 \tabularnewline
10 & 0.201469 & 1.5475 & 0.063543 \tabularnewline
11 & 0.08612 & 0.6615 & 0.255434 \tabularnewline
12 & -0.279351 & -2.1457 & 0.01801 \tabularnewline
13 & 0.166462 & 1.2786 & 0.103019 \tabularnewline
14 & -0.141354 & -1.0858 & 0.141001 \tabularnewline
15 & 0.003575 & 0.0275 & 0.489094 \tabularnewline
16 & 0.175535 & 1.3483 & 0.091357 \tabularnewline
17 & -0.042373 & -0.3255 & 0.372988 \tabularnewline
18 & -0.153066 & -1.1757 & 0.122214 \tabularnewline
19 & 0.147819 & 1.1354 & 0.130395 \tabularnewline
20 & -0.178628 & -1.3721 & 0.087618 \tabularnewline
21 & 0.255143 & 1.9598 & 0.027375 \tabularnewline
22 & -0.30508 & -2.3434 & 0.01125 \tabularnewline
23 & 0.201148 & 1.545 & 0.063841 \tabularnewline
24 & -0.131603 & -1.0109 & 0.158105 \tabularnewline
25 & 0.025969 & 0.1995 & 0.421291 \tabularnewline
26 & 0.044756 & 0.3438 & 0.366118 \tabularnewline
27 & 0.146087 & 1.1221 & 0.133179 \tabularnewline
28 & -0.270663 & -2.079 & 0.020987 \tabularnewline
29 & 0.163742 & 1.2577 & 0.106722 \tabularnewline
30 & -0.066067 & -0.5075 & 0.306857 \tabularnewline
31 & 0.006121 & 0.047 & 0.48133 \tabularnewline
32 & -0.030789 & -0.2365 & 0.406935 \tabularnewline
33 & 0.050154 & 0.3852 & 0.350721 \tabularnewline
34 & 0.00834 & 0.0641 & 0.47457 \tabularnewline
35 & -0.017852 & -0.1371 & 0.4457 \tabularnewline
36 & 0.003548 & 0.0273 & 0.489174 \tabularnewline
37 & 0.043838 & 0.3367 & 0.368759 \tabularnewline
38 & -0.068456 & -0.5258 & 0.300491 \tabularnewline
39 & 0.026707 & 0.2051 & 0.419084 \tabularnewline
40 & 0.041298 & 0.3172 & 0.376099 \tabularnewline
41 & -0.113213 & -0.8696 & 0.19402 \tabularnewline
42 & 0.146007 & 1.1215 & 0.133309 \tabularnewline
43 & -0.065818 & -0.5056 & 0.307525 \tabularnewline
44 & 0.043609 & 0.335 & 0.369419 \tabularnewline
45 & -0.087441 & -0.6716 & 0.252215 \tabularnewline
46 & 0.086725 & 0.6661 & 0.253957 \tabularnewline
47 & -0.082637 & -0.6347 & 0.264024 \tabularnewline
48 & 0.061178 & 0.4699 & 0.320074 \tabularnewline
49 & -0.039427 & -0.3028 & 0.381537 \tabularnewline
50 & 0.025442 & 0.1954 & 0.422865 \tabularnewline
51 & 0.009624 & 0.0739 & 0.470661 \tabularnewline
52 & 0.009439 & 0.0725 & 0.471222 \tabularnewline
53 & 0.012813 & 0.0984 & 0.460966 \tabularnewline
54 & -0.031714 & -0.2436 & 0.404193 \tabularnewline
55 & 0.020673 & 0.1588 & 0.437187 \tabularnewline
56 & -0.011497 & -0.0883 & 0.464965 \tabularnewline
57 & -0.016529 & -0.127 & 0.449701 \tabularnewline
58 & 0.001971 & 0.0151 & 0.493987 \tabularnewline
59 & NA & NA & NA \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=31425&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]-0.502856[/C][C]-3.8625[/C][C]0.000141[/C][/ROW]
[ROW][C]2[/C][C]0.075895[/C][C]0.583[/C][C]0.281072[/C][/ROW]
[ROW][C]3[/C][C]-0.056424[/C][C]-0.4334[/C][C]0.333152[/C][/ROW]
[ROW][C]4[/C][C]0.004253[/C][C]0.0327[/C][C]0.487024[/C][/ROW]
[ROW][C]5[/C][C]-0.010018[/C][C]-0.0769[/C][C]0.469463[/C][/ROW]
[ROW][C]6[/C][C]0.160498[/C][C]1.2328[/C][C]0.111268[/C][/ROW]
[ROW][C]7[/C][C]-0.19766[/C][C]-1.5183[/C][C]0.067145[/C][/ROW]
[ROW][C]8[/C][C]0.079073[/C][C]0.6074[/C][C]0.272969[/C][/ROW]
[ROW][C]9[/C][C]-0.134516[/C][C]-1.0332[/C][C]0.152854[/C][/ROW]
[ROW][C]10[/C][C]0.201469[/C][C]1.5475[/C][C]0.063543[/C][/ROW]
[ROW][C]11[/C][C]0.08612[/C][C]0.6615[/C][C]0.255434[/C][/ROW]
[ROW][C]12[/C][C]-0.279351[/C][C]-2.1457[/C][C]0.01801[/C][/ROW]
[ROW][C]13[/C][C]0.166462[/C][C]1.2786[/C][C]0.103019[/C][/ROW]
[ROW][C]14[/C][C]-0.141354[/C][C]-1.0858[/C][C]0.141001[/C][/ROW]
[ROW][C]15[/C][C]0.003575[/C][C]0.0275[/C][C]0.489094[/C][/ROW]
[ROW][C]16[/C][C]0.175535[/C][C]1.3483[/C][C]0.091357[/C][/ROW]
[ROW][C]17[/C][C]-0.042373[/C][C]-0.3255[/C][C]0.372988[/C][/ROW]
[ROW][C]18[/C][C]-0.153066[/C][C]-1.1757[/C][C]0.122214[/C][/ROW]
[ROW][C]19[/C][C]0.147819[/C][C]1.1354[/C][C]0.130395[/C][/ROW]
[ROW][C]20[/C][C]-0.178628[/C][C]-1.3721[/C][C]0.087618[/C][/ROW]
[ROW][C]21[/C][C]0.255143[/C][C]1.9598[/C][C]0.027375[/C][/ROW]
[ROW][C]22[/C][C]-0.30508[/C][C]-2.3434[/C][C]0.01125[/C][/ROW]
[ROW][C]23[/C][C]0.201148[/C][C]1.545[/C][C]0.063841[/C][/ROW]
[ROW][C]24[/C][C]-0.131603[/C][C]-1.0109[/C][C]0.158105[/C][/ROW]
[ROW][C]25[/C][C]0.025969[/C][C]0.1995[/C][C]0.421291[/C][/ROW]
[ROW][C]26[/C][C]0.044756[/C][C]0.3438[/C][C]0.366118[/C][/ROW]
[ROW][C]27[/C][C]0.146087[/C][C]1.1221[/C][C]0.133179[/C][/ROW]
[ROW][C]28[/C][C]-0.270663[/C][C]-2.079[/C][C]0.020987[/C][/ROW]
[ROW][C]29[/C][C]0.163742[/C][C]1.2577[/C][C]0.106722[/C][/ROW]
[ROW][C]30[/C][C]-0.066067[/C][C]-0.5075[/C][C]0.306857[/C][/ROW]
[ROW][C]31[/C][C]0.006121[/C][C]0.047[/C][C]0.48133[/C][/ROW]
[ROW][C]32[/C][C]-0.030789[/C][C]-0.2365[/C][C]0.406935[/C][/ROW]
[ROW][C]33[/C][C]0.050154[/C][C]0.3852[/C][C]0.350721[/C][/ROW]
[ROW][C]34[/C][C]0.00834[/C][C]0.0641[/C][C]0.47457[/C][/ROW]
[ROW][C]35[/C][C]-0.017852[/C][C]-0.1371[/C][C]0.4457[/C][/ROW]
[ROW][C]36[/C][C]0.003548[/C][C]0.0273[/C][C]0.489174[/C][/ROW]
[ROW][C]37[/C][C]0.043838[/C][C]0.3367[/C][C]0.368759[/C][/ROW]
[ROW][C]38[/C][C]-0.068456[/C][C]-0.5258[/C][C]0.300491[/C][/ROW]
[ROW][C]39[/C][C]0.026707[/C][C]0.2051[/C][C]0.419084[/C][/ROW]
[ROW][C]40[/C][C]0.041298[/C][C]0.3172[/C][C]0.376099[/C][/ROW]
[ROW][C]41[/C][C]-0.113213[/C][C]-0.8696[/C][C]0.19402[/C][/ROW]
[ROW][C]42[/C][C]0.146007[/C][C]1.1215[/C][C]0.133309[/C][/ROW]
[ROW][C]43[/C][C]-0.065818[/C][C]-0.5056[/C][C]0.307525[/C][/ROW]
[ROW][C]44[/C][C]0.043609[/C][C]0.335[/C][C]0.369419[/C][/ROW]
[ROW][C]45[/C][C]-0.087441[/C][C]-0.6716[/C][C]0.252215[/C][/ROW]
[ROW][C]46[/C][C]0.086725[/C][C]0.6661[/C][C]0.253957[/C][/ROW]
[ROW][C]47[/C][C]-0.082637[/C][C]-0.6347[/C][C]0.264024[/C][/ROW]
[ROW][C]48[/C][C]0.061178[/C][C]0.4699[/C][C]0.320074[/C][/ROW]
[ROW][C]49[/C][C]-0.039427[/C][C]-0.3028[/C][C]0.381537[/C][/ROW]
[ROW][C]50[/C][C]0.025442[/C][C]0.1954[/C][C]0.422865[/C][/ROW]
[ROW][C]51[/C][C]0.009624[/C][C]0.0739[/C][C]0.470661[/C][/ROW]
[ROW][C]52[/C][C]0.009439[/C][C]0.0725[/C][C]0.471222[/C][/ROW]
[ROW][C]53[/C][C]0.012813[/C][C]0.0984[/C][C]0.460966[/C][/ROW]
[ROW][C]54[/C][C]-0.031714[/C][C]-0.2436[/C][C]0.404193[/C][/ROW]
[ROW][C]55[/C][C]0.020673[/C][C]0.1588[/C][C]0.437187[/C][/ROW]
[ROW][C]56[/C][C]-0.011497[/C][C]-0.0883[/C][C]0.464965[/C][/ROW]
[ROW][C]57[/C][C]-0.016529[/C][C]-0.127[/C][C]0.449701[/C][/ROW]
[ROW][C]58[/C][C]0.001971[/C][C]0.0151[/C][C]0.493987[/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=31425&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31425&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
1-0.502856-3.86250.000141
20.0758950.5830.281072
3-0.056424-0.43340.333152
40.0042530.03270.487024
5-0.010018-0.07690.469463
60.1604981.23280.111268
7-0.19766-1.51830.067145
80.0790730.60740.272969
9-0.134516-1.03320.152854
100.2014691.54750.063543
110.086120.66150.255434
12-0.279351-2.14570.01801
130.1664621.27860.103019
14-0.141354-1.08580.141001
150.0035750.02750.489094
160.1755351.34830.091357
17-0.042373-0.32550.372988
18-0.153066-1.17570.122214
190.1478191.13540.130395
20-0.178628-1.37210.087618
210.2551431.95980.027375
22-0.30508-2.34340.01125
230.2011481.5450.063841
24-0.131603-1.01090.158105
250.0259690.19950.421291
260.0447560.34380.366118
270.1460871.12210.133179
28-0.270663-2.0790.020987
290.1637421.25770.106722
30-0.066067-0.50750.306857
310.0061210.0470.48133
32-0.030789-0.23650.406935
330.0501540.38520.350721
340.008340.06410.47457
35-0.017852-0.13710.4457
360.0035480.02730.489174
370.0438380.33670.368759
38-0.068456-0.52580.300491
390.0267070.20510.419084
400.0412980.31720.376099
41-0.113213-0.86960.19402
420.1460071.12150.133309
43-0.065818-0.50560.307525
440.0436090.3350.369419
45-0.087441-0.67160.252215
460.0867250.66610.253957
47-0.082637-0.63470.264024
480.0611780.46990.320074
49-0.039427-0.30280.381537
500.0254420.19540.422865
510.0096240.07390.470661
520.0094390.07250.471222
530.0128130.09840.460966
54-0.031714-0.24360.404193
550.0206730.15880.437187
56-0.011497-0.08830.464965
57-0.016529-0.1270.449701
580.0019710.01510.493987
59NANANA
60NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.502856-3.86250.000141
2-0.236864-1.81940.036964
3-0.18197-1.39770.083713
4-0.144032-1.10630.136536
5-0.121338-0.9320.177564
60.1415321.08710.140702
7-0.040521-0.31120.378355
8-0.03894-0.29910.382957
9-0.191726-1.47270.073077
100.0416570.320.37506
110.3089122.37280.010466
12-0.111281-0.85480.198068
130.0129290.09930.460616
14-0.122544-0.94130.175201
15-0.190161-1.46070.074707
160.0065920.05060.479893
170.1131130.86880.194227
18-0.005756-0.04420.482442
190.0384560.29540.384367
20-0.167526-1.28680.101596
21-0.009639-0.0740.470616
22-0.290511-2.23150.014732
23-0.00351-0.0270.48929
24-0.044394-0.3410.367159
25-0.031918-0.24520.403588
26-0.056829-0.43650.332029
270.0341520.26230.396991
28-0.030623-0.23520.407425
29-0.074385-0.57140.284962
300.0409670.31470.37706
310.0107290.08240.467298
32-0.188259-1.4460.076728
33-0.034797-0.26730.395091
34-0.024158-0.18560.426711
350.0797360.61250.271291
36-0.043819-0.33660.368815
37-0.054695-0.42010.337961
38-0.01825-0.14020.444496
390.006170.04740.481181
40-0.057079-0.43840.331336
41-0.01904-0.14620.442112
420.0636040.48860.313484
430.0196430.15090.440293
44-0.100376-0.7710.22189
45-0.082692-0.63520.263887
46-0.077207-0.5930.277712
47-0.000932-0.00720.497155
480.0037930.02910.488429
490.063360.48670.314146
50-0.146969-1.12890.131757
510.0511290.39270.347968
52-0.011215-0.08610.465823
530.0196190.15070.440364
54-0.032975-0.25330.400464
550.1246670.95760.17109
560.0270920.20810.417936
57-0.055125-0.42340.336764
58-0.060524-0.46490.32186
59NANANA
60NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.502856 & -3.8625 & 0.000141 \tabularnewline
2 & -0.236864 & -1.8194 & 0.036964 \tabularnewline
3 & -0.18197 & -1.3977 & 0.083713 \tabularnewline
4 & -0.144032 & -1.1063 & 0.136536 \tabularnewline
5 & -0.121338 & -0.932 & 0.177564 \tabularnewline
6 & 0.141532 & 1.0871 & 0.140702 \tabularnewline
7 & -0.040521 & -0.3112 & 0.378355 \tabularnewline
8 & -0.03894 & -0.2991 & 0.382957 \tabularnewline
9 & -0.191726 & -1.4727 & 0.073077 \tabularnewline
10 & 0.041657 & 0.32 & 0.37506 \tabularnewline
11 & 0.308912 & 2.3728 & 0.010466 \tabularnewline
12 & -0.111281 & -0.8548 & 0.198068 \tabularnewline
13 & 0.012929 & 0.0993 & 0.460616 \tabularnewline
14 & -0.122544 & -0.9413 & 0.175201 \tabularnewline
15 & -0.190161 & -1.4607 & 0.074707 \tabularnewline
16 & 0.006592 & 0.0506 & 0.479893 \tabularnewline
17 & 0.113113 & 0.8688 & 0.194227 \tabularnewline
18 & -0.005756 & -0.0442 & 0.482442 \tabularnewline
19 & 0.038456 & 0.2954 & 0.384367 \tabularnewline
20 & -0.167526 & -1.2868 & 0.101596 \tabularnewline
21 & -0.009639 & -0.074 & 0.470616 \tabularnewline
22 & -0.290511 & -2.2315 & 0.014732 \tabularnewline
23 & -0.00351 & -0.027 & 0.48929 \tabularnewline
24 & -0.044394 & -0.341 & 0.367159 \tabularnewline
25 & -0.031918 & -0.2452 & 0.403588 \tabularnewline
26 & -0.056829 & -0.4365 & 0.332029 \tabularnewline
27 & 0.034152 & 0.2623 & 0.396991 \tabularnewline
28 & -0.030623 & -0.2352 & 0.407425 \tabularnewline
29 & -0.074385 & -0.5714 & 0.284962 \tabularnewline
30 & 0.040967 & 0.3147 & 0.37706 \tabularnewline
31 & 0.010729 & 0.0824 & 0.467298 \tabularnewline
32 & -0.188259 & -1.446 & 0.076728 \tabularnewline
33 & -0.034797 & -0.2673 & 0.395091 \tabularnewline
34 & -0.024158 & -0.1856 & 0.426711 \tabularnewline
35 & 0.079736 & 0.6125 & 0.271291 \tabularnewline
36 & -0.043819 & -0.3366 & 0.368815 \tabularnewline
37 & -0.054695 & -0.4201 & 0.337961 \tabularnewline
38 & -0.01825 & -0.1402 & 0.444496 \tabularnewline
39 & 0.00617 & 0.0474 & 0.481181 \tabularnewline
40 & -0.057079 & -0.4384 & 0.331336 \tabularnewline
41 & -0.01904 & -0.1462 & 0.442112 \tabularnewline
42 & 0.063604 & 0.4886 & 0.313484 \tabularnewline
43 & 0.019643 & 0.1509 & 0.440293 \tabularnewline
44 & -0.100376 & -0.771 & 0.22189 \tabularnewline
45 & -0.082692 & -0.6352 & 0.263887 \tabularnewline
46 & -0.077207 & -0.593 & 0.277712 \tabularnewline
47 & -0.000932 & -0.0072 & 0.497155 \tabularnewline
48 & 0.003793 & 0.0291 & 0.488429 \tabularnewline
49 & 0.06336 & 0.4867 & 0.314146 \tabularnewline
50 & -0.146969 & -1.1289 & 0.131757 \tabularnewline
51 & 0.051129 & 0.3927 & 0.347968 \tabularnewline
52 & -0.011215 & -0.0861 & 0.465823 \tabularnewline
53 & 0.019619 & 0.1507 & 0.440364 \tabularnewline
54 & -0.032975 & -0.2533 & 0.400464 \tabularnewline
55 & 0.124667 & 0.9576 & 0.17109 \tabularnewline
56 & 0.027092 & 0.2081 & 0.417936 \tabularnewline
57 & -0.055125 & -0.4234 & 0.336764 \tabularnewline
58 & -0.060524 & -0.4649 & 0.32186 \tabularnewline
59 & NA & NA & NA \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=31425&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]-0.502856[/C][C]-3.8625[/C][C]0.000141[/C][/ROW]
[ROW][C]2[/C][C]-0.236864[/C][C]-1.8194[/C][C]0.036964[/C][/ROW]
[ROW][C]3[/C][C]-0.18197[/C][C]-1.3977[/C][C]0.083713[/C][/ROW]
[ROW][C]4[/C][C]-0.144032[/C][C]-1.1063[/C][C]0.136536[/C][/ROW]
[ROW][C]5[/C][C]-0.121338[/C][C]-0.932[/C][C]0.177564[/C][/ROW]
[ROW][C]6[/C][C]0.141532[/C][C]1.0871[/C][C]0.140702[/C][/ROW]
[ROW][C]7[/C][C]-0.040521[/C][C]-0.3112[/C][C]0.378355[/C][/ROW]
[ROW][C]8[/C][C]-0.03894[/C][C]-0.2991[/C][C]0.382957[/C][/ROW]
[ROW][C]9[/C][C]-0.191726[/C][C]-1.4727[/C][C]0.073077[/C][/ROW]
[ROW][C]10[/C][C]0.041657[/C][C]0.32[/C][C]0.37506[/C][/ROW]
[ROW][C]11[/C][C]0.308912[/C][C]2.3728[/C][C]0.010466[/C][/ROW]
[ROW][C]12[/C][C]-0.111281[/C][C]-0.8548[/C][C]0.198068[/C][/ROW]
[ROW][C]13[/C][C]0.012929[/C][C]0.0993[/C][C]0.460616[/C][/ROW]
[ROW][C]14[/C][C]-0.122544[/C][C]-0.9413[/C][C]0.175201[/C][/ROW]
[ROW][C]15[/C][C]-0.190161[/C][C]-1.4607[/C][C]0.074707[/C][/ROW]
[ROW][C]16[/C][C]0.006592[/C][C]0.0506[/C][C]0.479893[/C][/ROW]
[ROW][C]17[/C][C]0.113113[/C][C]0.8688[/C][C]0.194227[/C][/ROW]
[ROW][C]18[/C][C]-0.005756[/C][C]-0.0442[/C][C]0.482442[/C][/ROW]
[ROW][C]19[/C][C]0.038456[/C][C]0.2954[/C][C]0.384367[/C][/ROW]
[ROW][C]20[/C][C]-0.167526[/C][C]-1.2868[/C][C]0.101596[/C][/ROW]
[ROW][C]21[/C][C]-0.009639[/C][C]-0.074[/C][C]0.470616[/C][/ROW]
[ROW][C]22[/C][C]-0.290511[/C][C]-2.2315[/C][C]0.014732[/C][/ROW]
[ROW][C]23[/C][C]-0.00351[/C][C]-0.027[/C][C]0.48929[/C][/ROW]
[ROW][C]24[/C][C]-0.044394[/C][C]-0.341[/C][C]0.367159[/C][/ROW]
[ROW][C]25[/C][C]-0.031918[/C][C]-0.2452[/C][C]0.403588[/C][/ROW]
[ROW][C]26[/C][C]-0.056829[/C][C]-0.4365[/C][C]0.332029[/C][/ROW]
[ROW][C]27[/C][C]0.034152[/C][C]0.2623[/C][C]0.396991[/C][/ROW]
[ROW][C]28[/C][C]-0.030623[/C][C]-0.2352[/C][C]0.407425[/C][/ROW]
[ROW][C]29[/C][C]-0.074385[/C][C]-0.5714[/C][C]0.284962[/C][/ROW]
[ROW][C]30[/C][C]0.040967[/C][C]0.3147[/C][C]0.37706[/C][/ROW]
[ROW][C]31[/C][C]0.010729[/C][C]0.0824[/C][C]0.467298[/C][/ROW]
[ROW][C]32[/C][C]-0.188259[/C][C]-1.446[/C][C]0.076728[/C][/ROW]
[ROW][C]33[/C][C]-0.034797[/C][C]-0.2673[/C][C]0.395091[/C][/ROW]
[ROW][C]34[/C][C]-0.024158[/C][C]-0.1856[/C][C]0.426711[/C][/ROW]
[ROW][C]35[/C][C]0.079736[/C][C]0.6125[/C][C]0.271291[/C][/ROW]
[ROW][C]36[/C][C]-0.043819[/C][C]-0.3366[/C][C]0.368815[/C][/ROW]
[ROW][C]37[/C][C]-0.054695[/C][C]-0.4201[/C][C]0.337961[/C][/ROW]
[ROW][C]38[/C][C]-0.01825[/C][C]-0.1402[/C][C]0.444496[/C][/ROW]
[ROW][C]39[/C][C]0.00617[/C][C]0.0474[/C][C]0.481181[/C][/ROW]
[ROW][C]40[/C][C]-0.057079[/C][C]-0.4384[/C][C]0.331336[/C][/ROW]
[ROW][C]41[/C][C]-0.01904[/C][C]-0.1462[/C][C]0.442112[/C][/ROW]
[ROW][C]42[/C][C]0.063604[/C][C]0.4886[/C][C]0.313484[/C][/ROW]
[ROW][C]43[/C][C]0.019643[/C][C]0.1509[/C][C]0.440293[/C][/ROW]
[ROW][C]44[/C][C]-0.100376[/C][C]-0.771[/C][C]0.22189[/C][/ROW]
[ROW][C]45[/C][C]-0.082692[/C][C]-0.6352[/C][C]0.263887[/C][/ROW]
[ROW][C]46[/C][C]-0.077207[/C][C]-0.593[/C][C]0.277712[/C][/ROW]
[ROW][C]47[/C][C]-0.000932[/C][C]-0.0072[/C][C]0.497155[/C][/ROW]
[ROW][C]48[/C][C]0.003793[/C][C]0.0291[/C][C]0.488429[/C][/ROW]
[ROW][C]49[/C][C]0.06336[/C][C]0.4867[/C][C]0.314146[/C][/ROW]
[ROW][C]50[/C][C]-0.146969[/C][C]-1.1289[/C][C]0.131757[/C][/ROW]
[ROW][C]51[/C][C]0.051129[/C][C]0.3927[/C][C]0.347968[/C][/ROW]
[ROW][C]52[/C][C]-0.011215[/C][C]-0.0861[/C][C]0.465823[/C][/ROW]
[ROW][C]53[/C][C]0.019619[/C][C]0.1507[/C][C]0.440364[/C][/ROW]
[ROW][C]54[/C][C]-0.032975[/C][C]-0.2533[/C][C]0.400464[/C][/ROW]
[ROW][C]55[/C][C]0.124667[/C][C]0.9576[/C][C]0.17109[/C][/ROW]
[ROW][C]56[/C][C]0.027092[/C][C]0.2081[/C][C]0.417936[/C][/ROW]
[ROW][C]57[/C][C]-0.055125[/C][C]-0.4234[/C][C]0.336764[/C][/ROW]
[ROW][C]58[/C][C]-0.060524[/C][C]-0.4649[/C][C]0.32186[/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=31425&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31425&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
1-0.502856-3.86250.000141
2-0.236864-1.81940.036964
3-0.18197-1.39770.083713
4-0.144032-1.10630.136536
5-0.121338-0.9320.177564
60.1415321.08710.140702
7-0.040521-0.31120.378355
8-0.03894-0.29910.382957
9-0.191726-1.47270.073077
100.0416570.320.37506
110.3089122.37280.010466
12-0.111281-0.85480.198068
130.0129290.09930.460616
14-0.122544-0.94130.175201
15-0.190161-1.46070.074707
160.0065920.05060.479893
170.1131130.86880.194227
18-0.005756-0.04420.482442
190.0384560.29540.384367
20-0.167526-1.28680.101596
21-0.009639-0.0740.470616
22-0.290511-2.23150.014732
23-0.00351-0.0270.48929
24-0.044394-0.3410.367159
25-0.031918-0.24520.403588
26-0.056829-0.43650.332029
270.0341520.26230.396991
28-0.030623-0.23520.407425
29-0.074385-0.57140.284962
300.0409670.31470.37706
310.0107290.08240.467298
32-0.188259-1.4460.076728
33-0.034797-0.26730.395091
34-0.024158-0.18560.426711
350.0797360.61250.271291
36-0.043819-0.33660.368815
37-0.054695-0.42010.337961
38-0.01825-0.14020.444496
390.006170.04740.481181
40-0.057079-0.43840.331336
41-0.01904-0.14620.442112
420.0636040.48860.313484
430.0196430.15090.440293
44-0.100376-0.7710.22189
45-0.082692-0.63520.263887
46-0.077207-0.5930.277712
47-0.000932-0.00720.497155
480.0037930.02910.488429
490.063360.48670.314146
50-0.146969-1.12890.131757
510.0511290.39270.347968
52-0.011215-0.08610.465823
530.0196190.15070.440364
54-0.032975-0.25330.400464
550.1246670.95760.17109
560.0270920.20810.417936
57-0.055125-0.42340.336764
58-0.060524-0.46490.32186
59NANANA
60NANANA



Parameters (Session):
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; 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')