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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationMon, 10 Dec 2007 13:43:39 -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/2007/Dec/10/t1197318569jwlmh0i77qefq74.htm/, Retrieved Tue, 07 May 2024 03:44:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=3045, Retrieved Tue, 07 May 2024 03:44:25 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordss0650550 s0650062
Estimated Impact184
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Inducing Stationa...] [2007-12-10 20:43:39] [ab924f39c1cc7a5dd22761038b10db61] [Current]
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Dataseries X:
2,25
1,85
1,75
1,75
1,55
1,5
1,5
1,1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1,21
1,25
1,25
1,45
1,5
1,5
1,64
1,75
1,93
2
2,17
2,25
2,39
2,5
2,5
2,65
2,75
2,75
2,9
3
3
3
3




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\begin{tabular}{lllllllll}
\hline
Summary of compuational 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 & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3045&T=0

[TABLE]
[ROW][C]Summary of compuational 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]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3045&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3045&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Autocorrelation Function
Time lag kACF(k)T-STATP-value
017.7460
10.941297.29120
20.8841646.84870
30.8228486.37380
40.7478645.79290
50.6764115.23951e-06
60.6075384.7068e-06
70.5273474.08486.6e-05
80.4558793.53120.000401
90.390033.02120.001849
100.3200992.47950.007992
110.2519991.9520.027806
120.1888741.4630.074341
130.1263110.97840.165903
140.0705410.54640.293406
150.0179250.13880.445018
16-0.027855-0.21580.585049
17-0.069384-0.53740.703527
18-0.103856-0.80450.787848
19-0.139594-1.08130.858052
20-0.173483-1.34380.907962
21-0.196985-1.52580.933848
22-0.220487-1.70790.953586
23-0.241912-1.87380.967088
24-0.252429-1.95530.972396
25-0.262947-2.03680.976954
26-0.273465-2.11830.980848
27-0.283983-2.19970.984155
28-0.294501-2.28120.986949
29-0.305019-2.36270.989298
30-0.314788-2.43830.991134
31-0.32142-2.48970.992213
32-0.327482-2.53670.993095
33-0.332456-2.57520.993749
34-0.332831-2.57810.993796
35-0.332209-2.57330.993718
36-0.329982-2.5560.993431
37-0.320714-2.48420.992104
38-0.3136-2.42910.990927
39-0.303716-2.35260.989029
40-0.288002-2.23090.98528
41-0.272801-2.11310.98062
42-0.255313-1.97760.973716
43-0.232245-1.7990.961473
44-0.207572-1.60780.94344
45-0.181499-1.40590.917542
46-0.154668-1.19810.882197
47-0.124682-0.96580.830985
48-0.096537-0.74780.77124
49-0.064276-0.49790.689805
50-0.031835-0.24660.596968
51-0.001364-0.01060.504198
520.032850.25450.400007
530.060230.46650.32126
540.064850.50230.308638
550.0719660.55740.289649
560.0741310.57420.283985
570.0633880.4910.312607
580.0526460.40780.342437
590.036710.28440.388558

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 7.746 & 0 \tabularnewline
1 & 0.94129 & 7.2912 & 0 \tabularnewline
2 & 0.884164 & 6.8487 & 0 \tabularnewline
3 & 0.822848 & 6.3738 & 0 \tabularnewline
4 & 0.747864 & 5.7929 & 0 \tabularnewline
5 & 0.676411 & 5.2395 & 1e-06 \tabularnewline
6 & 0.607538 & 4.706 & 8e-06 \tabularnewline
7 & 0.527347 & 4.0848 & 6.6e-05 \tabularnewline
8 & 0.455879 & 3.5312 & 0.000401 \tabularnewline
9 & 0.39003 & 3.0212 & 0.001849 \tabularnewline
10 & 0.320099 & 2.4795 & 0.007992 \tabularnewline
11 & 0.251999 & 1.952 & 0.027806 \tabularnewline
12 & 0.188874 & 1.463 & 0.074341 \tabularnewline
13 & 0.126311 & 0.9784 & 0.165903 \tabularnewline
14 & 0.070541 & 0.5464 & 0.293406 \tabularnewline
15 & 0.017925 & 0.1388 & 0.445018 \tabularnewline
16 & -0.027855 & -0.2158 & 0.585049 \tabularnewline
17 & -0.069384 & -0.5374 & 0.703527 \tabularnewline
18 & -0.103856 & -0.8045 & 0.787848 \tabularnewline
19 & -0.139594 & -1.0813 & 0.858052 \tabularnewline
20 & -0.173483 & -1.3438 & 0.907962 \tabularnewline
21 & -0.196985 & -1.5258 & 0.933848 \tabularnewline
22 & -0.220487 & -1.7079 & 0.953586 \tabularnewline
23 & -0.241912 & -1.8738 & 0.967088 \tabularnewline
24 & -0.252429 & -1.9553 & 0.972396 \tabularnewline
25 & -0.262947 & -2.0368 & 0.976954 \tabularnewline
26 & -0.273465 & -2.1183 & 0.980848 \tabularnewline
27 & -0.283983 & -2.1997 & 0.984155 \tabularnewline
28 & -0.294501 & -2.2812 & 0.986949 \tabularnewline
29 & -0.305019 & -2.3627 & 0.989298 \tabularnewline
30 & -0.314788 & -2.4383 & 0.991134 \tabularnewline
31 & -0.32142 & -2.4897 & 0.992213 \tabularnewline
32 & -0.327482 & -2.5367 & 0.993095 \tabularnewline
33 & -0.332456 & -2.5752 & 0.993749 \tabularnewline
34 & -0.332831 & -2.5781 & 0.993796 \tabularnewline
35 & -0.332209 & -2.5733 & 0.993718 \tabularnewline
36 & -0.329982 & -2.556 & 0.993431 \tabularnewline
37 & -0.320714 & -2.4842 & 0.992104 \tabularnewline
38 & -0.3136 & -2.4291 & 0.990927 \tabularnewline
39 & -0.303716 & -2.3526 & 0.989029 \tabularnewline
40 & -0.288002 & -2.2309 & 0.98528 \tabularnewline
41 & -0.272801 & -2.1131 & 0.98062 \tabularnewline
42 & -0.255313 & -1.9776 & 0.973716 \tabularnewline
43 & -0.232245 & -1.799 & 0.961473 \tabularnewline
44 & -0.207572 & -1.6078 & 0.94344 \tabularnewline
45 & -0.181499 & -1.4059 & 0.917542 \tabularnewline
46 & -0.154668 & -1.1981 & 0.882197 \tabularnewline
47 & -0.124682 & -0.9658 & 0.830985 \tabularnewline
48 & -0.096537 & -0.7478 & 0.77124 \tabularnewline
49 & -0.064276 & -0.4979 & 0.689805 \tabularnewline
50 & -0.031835 & -0.2466 & 0.596968 \tabularnewline
51 & -0.001364 & -0.0106 & 0.504198 \tabularnewline
52 & 0.03285 & 0.2545 & 0.400007 \tabularnewline
53 & 0.06023 & 0.4665 & 0.32126 \tabularnewline
54 & 0.06485 & 0.5023 & 0.308638 \tabularnewline
55 & 0.071966 & 0.5574 & 0.289649 \tabularnewline
56 & 0.074131 & 0.5742 & 0.283985 \tabularnewline
57 & 0.063388 & 0.491 & 0.312607 \tabularnewline
58 & 0.052646 & 0.4078 & 0.342437 \tabularnewline
59 & 0.03671 & 0.2844 & 0.388558 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3045&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]0[/C][C]1[/C][C]7.746[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.94129[/C][C]7.2912[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.884164[/C][C]6.8487[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.822848[/C][C]6.3738[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.747864[/C][C]5.7929[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.676411[/C][C]5.2395[/C][C]1e-06[/C][/ROW]
[ROW][C]6[/C][C]0.607538[/C][C]4.706[/C][C]8e-06[/C][/ROW]
[ROW][C]7[/C][C]0.527347[/C][C]4.0848[/C][C]6.6e-05[/C][/ROW]
[ROW][C]8[/C][C]0.455879[/C][C]3.5312[/C][C]0.000401[/C][/ROW]
[ROW][C]9[/C][C]0.39003[/C][C]3.0212[/C][C]0.001849[/C][/ROW]
[ROW][C]10[/C][C]0.320099[/C][C]2.4795[/C][C]0.007992[/C][/ROW]
[ROW][C]11[/C][C]0.251999[/C][C]1.952[/C][C]0.027806[/C][/ROW]
[ROW][C]12[/C][C]0.188874[/C][C]1.463[/C][C]0.074341[/C][/ROW]
[ROW][C]13[/C][C]0.126311[/C][C]0.9784[/C][C]0.165903[/C][/ROW]
[ROW][C]14[/C][C]0.070541[/C][C]0.5464[/C][C]0.293406[/C][/ROW]
[ROW][C]15[/C][C]0.017925[/C][C]0.1388[/C][C]0.445018[/C][/ROW]
[ROW][C]16[/C][C]-0.027855[/C][C]-0.2158[/C][C]0.585049[/C][/ROW]
[ROW][C]17[/C][C]-0.069384[/C][C]-0.5374[/C][C]0.703527[/C][/ROW]
[ROW][C]18[/C][C]-0.103856[/C][C]-0.8045[/C][C]0.787848[/C][/ROW]
[ROW][C]19[/C][C]-0.139594[/C][C]-1.0813[/C][C]0.858052[/C][/ROW]
[ROW][C]20[/C][C]-0.173483[/C][C]-1.3438[/C][C]0.907962[/C][/ROW]
[ROW][C]21[/C][C]-0.196985[/C][C]-1.5258[/C][C]0.933848[/C][/ROW]
[ROW][C]22[/C][C]-0.220487[/C][C]-1.7079[/C][C]0.953586[/C][/ROW]
[ROW][C]23[/C][C]-0.241912[/C][C]-1.8738[/C][C]0.967088[/C][/ROW]
[ROW][C]24[/C][C]-0.252429[/C][C]-1.9553[/C][C]0.972396[/C][/ROW]
[ROW][C]25[/C][C]-0.262947[/C][C]-2.0368[/C][C]0.976954[/C][/ROW]
[ROW][C]26[/C][C]-0.273465[/C][C]-2.1183[/C][C]0.980848[/C][/ROW]
[ROW][C]27[/C][C]-0.283983[/C][C]-2.1997[/C][C]0.984155[/C][/ROW]
[ROW][C]28[/C][C]-0.294501[/C][C]-2.2812[/C][C]0.986949[/C][/ROW]
[ROW][C]29[/C][C]-0.305019[/C][C]-2.3627[/C][C]0.989298[/C][/ROW]
[ROW][C]30[/C][C]-0.314788[/C][C]-2.4383[/C][C]0.991134[/C][/ROW]
[ROW][C]31[/C][C]-0.32142[/C][C]-2.4897[/C][C]0.992213[/C][/ROW]
[ROW][C]32[/C][C]-0.327482[/C][C]-2.5367[/C][C]0.993095[/C][/ROW]
[ROW][C]33[/C][C]-0.332456[/C][C]-2.5752[/C][C]0.993749[/C][/ROW]
[ROW][C]34[/C][C]-0.332831[/C][C]-2.5781[/C][C]0.993796[/C][/ROW]
[ROW][C]35[/C][C]-0.332209[/C][C]-2.5733[/C][C]0.993718[/C][/ROW]
[ROW][C]36[/C][C]-0.329982[/C][C]-2.556[/C][C]0.993431[/C][/ROW]
[ROW][C]37[/C][C]-0.320714[/C][C]-2.4842[/C][C]0.992104[/C][/ROW]
[ROW][C]38[/C][C]-0.3136[/C][C]-2.4291[/C][C]0.990927[/C][/ROW]
[ROW][C]39[/C][C]-0.303716[/C][C]-2.3526[/C][C]0.989029[/C][/ROW]
[ROW][C]40[/C][C]-0.288002[/C][C]-2.2309[/C][C]0.98528[/C][/ROW]
[ROW][C]41[/C][C]-0.272801[/C][C]-2.1131[/C][C]0.98062[/C][/ROW]
[ROW][C]42[/C][C]-0.255313[/C][C]-1.9776[/C][C]0.973716[/C][/ROW]
[ROW][C]43[/C][C]-0.232245[/C][C]-1.799[/C][C]0.961473[/C][/ROW]
[ROW][C]44[/C][C]-0.207572[/C][C]-1.6078[/C][C]0.94344[/C][/ROW]
[ROW][C]45[/C][C]-0.181499[/C][C]-1.4059[/C][C]0.917542[/C][/ROW]
[ROW][C]46[/C][C]-0.154668[/C][C]-1.1981[/C][C]0.882197[/C][/ROW]
[ROW][C]47[/C][C]-0.124682[/C][C]-0.9658[/C][C]0.830985[/C][/ROW]
[ROW][C]48[/C][C]-0.096537[/C][C]-0.7478[/C][C]0.77124[/C][/ROW]
[ROW][C]49[/C][C]-0.064276[/C][C]-0.4979[/C][C]0.689805[/C][/ROW]
[ROW][C]50[/C][C]-0.031835[/C][C]-0.2466[/C][C]0.596968[/C][/ROW]
[ROW][C]51[/C][C]-0.001364[/C][C]-0.0106[/C][C]0.504198[/C][/ROW]
[ROW][C]52[/C][C]0.03285[/C][C]0.2545[/C][C]0.400007[/C][/ROW]
[ROW][C]53[/C][C]0.06023[/C][C]0.4665[/C][C]0.32126[/C][/ROW]
[ROW][C]54[/C][C]0.06485[/C][C]0.5023[/C][C]0.308638[/C][/ROW]
[ROW][C]55[/C][C]0.071966[/C][C]0.5574[/C][C]0.289649[/C][/ROW]
[ROW][C]56[/C][C]0.074131[/C][C]0.5742[/C][C]0.283985[/C][/ROW]
[ROW][C]57[/C][C]0.063388[/C][C]0.491[/C][C]0.312607[/C][/ROW]
[ROW][C]58[/C][C]0.052646[/C][C]0.4078[/C][C]0.342437[/C][/ROW]
[ROW][C]59[/C][C]0.03671[/C][C]0.2844[/C][C]0.388558[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3045&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3045&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
017.7460
10.941297.29120
20.8841646.84870
30.8228486.37380
40.7478645.79290
50.6764115.23951e-06
60.6075384.7068e-06
70.5273474.08486.6e-05
80.4558793.53120.000401
90.390033.02120.001849
100.3200992.47950.007992
110.2519991.9520.027806
120.1888741.4630.074341
130.1263110.97840.165903
140.0705410.54640.293406
150.0179250.13880.445018
16-0.027855-0.21580.585049
17-0.069384-0.53740.703527
18-0.103856-0.80450.787848
19-0.139594-1.08130.858052
20-0.173483-1.34380.907962
21-0.196985-1.52580.933848
22-0.220487-1.70790.953586
23-0.241912-1.87380.967088
24-0.252429-1.95530.972396
25-0.262947-2.03680.976954
26-0.273465-2.11830.980848
27-0.283983-2.19970.984155
28-0.294501-2.28120.986949
29-0.305019-2.36270.989298
30-0.314788-2.43830.991134
31-0.32142-2.48970.992213
32-0.327482-2.53670.993095
33-0.332456-2.57520.993749
34-0.332831-2.57810.993796
35-0.332209-2.57330.993718
36-0.329982-2.5560.993431
37-0.320714-2.48420.992104
38-0.3136-2.42910.990927
39-0.303716-2.35260.989029
40-0.288002-2.23090.98528
41-0.272801-2.11310.98062
42-0.255313-1.97760.973716
43-0.232245-1.7990.961473
44-0.207572-1.60780.94344
45-0.181499-1.40590.917542
46-0.154668-1.19810.882197
47-0.124682-0.96580.830985
48-0.096537-0.74780.77124
49-0.064276-0.49790.689805
50-0.031835-0.24660.596968
51-0.001364-0.01060.504198
520.032850.25450.400007
530.060230.46650.32126
540.064850.50230.308638
550.0719660.55740.289649
560.0741310.57420.283985
570.0633880.4910.312607
580.0526460.40780.342437
590.036710.28440.388558







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.941297.29120
1-0.016344-0.12660.550161
2-0.066911-0.51830.69692
3-0.155133-1.20170.88289
4-0.015026-0.11640.546135
5-0.010636-0.08240.532693
6-0.132277-1.02460.84517
70.0141660.10970.456495
80.0060310.04670.481446
9-0.066023-0.51140.694529
10-0.060746-0.47050.68016
11-0.018081-0.14010.555458
12-0.026572-0.20580.581187
13-0.008234-0.06380.52532
14-0.03741-0.28980.613506
150.0176970.13710.445714
16-0.020244-0.15680.562038
170.0009720.00750.497008
18-0.065723-0.50910.693721
19-0.043463-0.33670.631228
200.0425370.32950.371468
21-0.040212-0.31150.621743
22-0.032322-0.25040.598419
230.0377550.29240.385477
24-0.019587-0.15170.560042
25-0.045962-0.3560.638462
26-0.073443-0.56890.714221
27-0.021698-0.16810.566455
28-0.022323-0.17290.568348
29-0.051774-0.4010.655092
30-0.000658-0.00510.502023
31-0.020143-0.1560.561733
32-0.02876-0.22280.587766
33-0.00587-0.04550.518058
34-0.025156-0.19490.576918
35-0.011608-0.08990.535672
360.0274730.21280.416101
37-0.042046-0.32570.627101
38-0.004869-0.03770.514979
390.0149720.1160.454031
40-0.008515-0.0660.526185
41-0.015665-0.12130.548086
420.0123780.09590.461968
430.0296530.22970.409555
44-0.002979-0.02310.509166
45-0.020751-0.16070.563579
460.0355160.27510.392091
47-0.008969-0.06950.527578
480.0274710.21280.416105
490.0028030.02170.491374
500.0029030.02250.491069
510.0481240.37280.355317
52-0.054111-0.41910.661695
53-0.191819-1.48580.928719
540.007370.05710.477331
55-0.008757-0.06780.526926
56-0.081983-0.6350.73609
57-0.04911-0.38040.647506
58-0.034566-0.26770.605093
59NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.94129 & 7.2912 & 0 \tabularnewline
1 & -0.016344 & -0.1266 & 0.550161 \tabularnewline
2 & -0.066911 & -0.5183 & 0.69692 \tabularnewline
3 & -0.155133 & -1.2017 & 0.88289 \tabularnewline
4 & -0.015026 & -0.1164 & 0.546135 \tabularnewline
5 & -0.010636 & -0.0824 & 0.532693 \tabularnewline
6 & -0.132277 & -1.0246 & 0.84517 \tabularnewline
7 & 0.014166 & 0.1097 & 0.456495 \tabularnewline
8 & 0.006031 & 0.0467 & 0.481446 \tabularnewline
9 & -0.066023 & -0.5114 & 0.694529 \tabularnewline
10 & -0.060746 & -0.4705 & 0.68016 \tabularnewline
11 & -0.018081 & -0.1401 & 0.555458 \tabularnewline
12 & -0.026572 & -0.2058 & 0.581187 \tabularnewline
13 & -0.008234 & -0.0638 & 0.52532 \tabularnewline
14 & -0.03741 & -0.2898 & 0.613506 \tabularnewline
15 & 0.017697 & 0.1371 & 0.445714 \tabularnewline
16 & -0.020244 & -0.1568 & 0.562038 \tabularnewline
17 & 0.000972 & 0.0075 & 0.497008 \tabularnewline
18 & -0.065723 & -0.5091 & 0.693721 \tabularnewline
19 & -0.043463 & -0.3367 & 0.631228 \tabularnewline
20 & 0.042537 & 0.3295 & 0.371468 \tabularnewline
21 & -0.040212 & -0.3115 & 0.621743 \tabularnewline
22 & -0.032322 & -0.2504 & 0.598419 \tabularnewline
23 & 0.037755 & 0.2924 & 0.385477 \tabularnewline
24 & -0.019587 & -0.1517 & 0.560042 \tabularnewline
25 & -0.045962 & -0.356 & 0.638462 \tabularnewline
26 & -0.073443 & -0.5689 & 0.714221 \tabularnewline
27 & -0.021698 & -0.1681 & 0.566455 \tabularnewline
28 & -0.022323 & -0.1729 & 0.568348 \tabularnewline
29 & -0.051774 & -0.401 & 0.655092 \tabularnewline
30 & -0.000658 & -0.0051 & 0.502023 \tabularnewline
31 & -0.020143 & -0.156 & 0.561733 \tabularnewline
32 & -0.02876 & -0.2228 & 0.587766 \tabularnewline
33 & -0.00587 & -0.0455 & 0.518058 \tabularnewline
34 & -0.025156 & -0.1949 & 0.576918 \tabularnewline
35 & -0.011608 & -0.0899 & 0.535672 \tabularnewline
36 & 0.027473 & 0.2128 & 0.416101 \tabularnewline
37 & -0.042046 & -0.3257 & 0.627101 \tabularnewline
38 & -0.004869 & -0.0377 & 0.514979 \tabularnewline
39 & 0.014972 & 0.116 & 0.454031 \tabularnewline
40 & -0.008515 & -0.066 & 0.526185 \tabularnewline
41 & -0.015665 & -0.1213 & 0.548086 \tabularnewline
42 & 0.012378 & 0.0959 & 0.461968 \tabularnewline
43 & 0.029653 & 0.2297 & 0.409555 \tabularnewline
44 & -0.002979 & -0.0231 & 0.509166 \tabularnewline
45 & -0.020751 & -0.1607 & 0.563579 \tabularnewline
46 & 0.035516 & 0.2751 & 0.392091 \tabularnewline
47 & -0.008969 & -0.0695 & 0.527578 \tabularnewline
48 & 0.027471 & 0.2128 & 0.416105 \tabularnewline
49 & 0.002803 & 0.0217 & 0.491374 \tabularnewline
50 & 0.002903 & 0.0225 & 0.491069 \tabularnewline
51 & 0.048124 & 0.3728 & 0.355317 \tabularnewline
52 & -0.054111 & -0.4191 & 0.661695 \tabularnewline
53 & -0.191819 & -1.4858 & 0.928719 \tabularnewline
54 & 0.00737 & 0.0571 & 0.477331 \tabularnewline
55 & -0.008757 & -0.0678 & 0.526926 \tabularnewline
56 & -0.081983 & -0.635 & 0.73609 \tabularnewline
57 & -0.04911 & -0.3804 & 0.647506 \tabularnewline
58 & -0.034566 & -0.2677 & 0.605093 \tabularnewline
59 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3045&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]0[/C][C]0.94129[/C][C]7.2912[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]-0.016344[/C][C]-0.1266[/C][C]0.550161[/C][/ROW]
[ROW][C]2[/C][C]-0.066911[/C][C]-0.5183[/C][C]0.69692[/C][/ROW]
[ROW][C]3[/C][C]-0.155133[/C][C]-1.2017[/C][C]0.88289[/C][/ROW]
[ROW][C]4[/C][C]-0.015026[/C][C]-0.1164[/C][C]0.546135[/C][/ROW]
[ROW][C]5[/C][C]-0.010636[/C][C]-0.0824[/C][C]0.532693[/C][/ROW]
[ROW][C]6[/C][C]-0.132277[/C][C]-1.0246[/C][C]0.84517[/C][/ROW]
[ROW][C]7[/C][C]0.014166[/C][C]0.1097[/C][C]0.456495[/C][/ROW]
[ROW][C]8[/C][C]0.006031[/C][C]0.0467[/C][C]0.481446[/C][/ROW]
[ROW][C]9[/C][C]-0.066023[/C][C]-0.5114[/C][C]0.694529[/C][/ROW]
[ROW][C]10[/C][C]-0.060746[/C][C]-0.4705[/C][C]0.68016[/C][/ROW]
[ROW][C]11[/C][C]-0.018081[/C][C]-0.1401[/C][C]0.555458[/C][/ROW]
[ROW][C]12[/C][C]-0.026572[/C][C]-0.2058[/C][C]0.581187[/C][/ROW]
[ROW][C]13[/C][C]-0.008234[/C][C]-0.0638[/C][C]0.52532[/C][/ROW]
[ROW][C]14[/C][C]-0.03741[/C][C]-0.2898[/C][C]0.613506[/C][/ROW]
[ROW][C]15[/C][C]0.017697[/C][C]0.1371[/C][C]0.445714[/C][/ROW]
[ROW][C]16[/C][C]-0.020244[/C][C]-0.1568[/C][C]0.562038[/C][/ROW]
[ROW][C]17[/C][C]0.000972[/C][C]0.0075[/C][C]0.497008[/C][/ROW]
[ROW][C]18[/C][C]-0.065723[/C][C]-0.5091[/C][C]0.693721[/C][/ROW]
[ROW][C]19[/C][C]-0.043463[/C][C]-0.3367[/C][C]0.631228[/C][/ROW]
[ROW][C]20[/C][C]0.042537[/C][C]0.3295[/C][C]0.371468[/C][/ROW]
[ROW][C]21[/C][C]-0.040212[/C][C]-0.3115[/C][C]0.621743[/C][/ROW]
[ROW][C]22[/C][C]-0.032322[/C][C]-0.2504[/C][C]0.598419[/C][/ROW]
[ROW][C]23[/C][C]0.037755[/C][C]0.2924[/C][C]0.385477[/C][/ROW]
[ROW][C]24[/C][C]-0.019587[/C][C]-0.1517[/C][C]0.560042[/C][/ROW]
[ROW][C]25[/C][C]-0.045962[/C][C]-0.356[/C][C]0.638462[/C][/ROW]
[ROW][C]26[/C][C]-0.073443[/C][C]-0.5689[/C][C]0.714221[/C][/ROW]
[ROW][C]27[/C][C]-0.021698[/C][C]-0.1681[/C][C]0.566455[/C][/ROW]
[ROW][C]28[/C][C]-0.022323[/C][C]-0.1729[/C][C]0.568348[/C][/ROW]
[ROW][C]29[/C][C]-0.051774[/C][C]-0.401[/C][C]0.655092[/C][/ROW]
[ROW][C]30[/C][C]-0.000658[/C][C]-0.0051[/C][C]0.502023[/C][/ROW]
[ROW][C]31[/C][C]-0.020143[/C][C]-0.156[/C][C]0.561733[/C][/ROW]
[ROW][C]32[/C][C]-0.02876[/C][C]-0.2228[/C][C]0.587766[/C][/ROW]
[ROW][C]33[/C][C]-0.00587[/C][C]-0.0455[/C][C]0.518058[/C][/ROW]
[ROW][C]34[/C][C]-0.025156[/C][C]-0.1949[/C][C]0.576918[/C][/ROW]
[ROW][C]35[/C][C]-0.011608[/C][C]-0.0899[/C][C]0.535672[/C][/ROW]
[ROW][C]36[/C][C]0.027473[/C][C]0.2128[/C][C]0.416101[/C][/ROW]
[ROW][C]37[/C][C]-0.042046[/C][C]-0.3257[/C][C]0.627101[/C][/ROW]
[ROW][C]38[/C][C]-0.004869[/C][C]-0.0377[/C][C]0.514979[/C][/ROW]
[ROW][C]39[/C][C]0.014972[/C][C]0.116[/C][C]0.454031[/C][/ROW]
[ROW][C]40[/C][C]-0.008515[/C][C]-0.066[/C][C]0.526185[/C][/ROW]
[ROW][C]41[/C][C]-0.015665[/C][C]-0.1213[/C][C]0.548086[/C][/ROW]
[ROW][C]42[/C][C]0.012378[/C][C]0.0959[/C][C]0.461968[/C][/ROW]
[ROW][C]43[/C][C]0.029653[/C][C]0.2297[/C][C]0.409555[/C][/ROW]
[ROW][C]44[/C][C]-0.002979[/C][C]-0.0231[/C][C]0.509166[/C][/ROW]
[ROW][C]45[/C][C]-0.020751[/C][C]-0.1607[/C][C]0.563579[/C][/ROW]
[ROW][C]46[/C][C]0.035516[/C][C]0.2751[/C][C]0.392091[/C][/ROW]
[ROW][C]47[/C][C]-0.008969[/C][C]-0.0695[/C][C]0.527578[/C][/ROW]
[ROW][C]48[/C][C]0.027471[/C][C]0.2128[/C][C]0.416105[/C][/ROW]
[ROW][C]49[/C][C]0.002803[/C][C]0.0217[/C][C]0.491374[/C][/ROW]
[ROW][C]50[/C][C]0.002903[/C][C]0.0225[/C][C]0.491069[/C][/ROW]
[ROW][C]51[/C][C]0.048124[/C][C]0.3728[/C][C]0.355317[/C][/ROW]
[ROW][C]52[/C][C]-0.054111[/C][C]-0.4191[/C][C]0.661695[/C][/ROW]
[ROW][C]53[/C][C]-0.191819[/C][C]-1.4858[/C][C]0.928719[/C][/ROW]
[ROW][C]54[/C][C]0.00737[/C][C]0.0571[/C][C]0.477331[/C][/ROW]
[ROW][C]55[/C][C]-0.008757[/C][C]-0.0678[/C][C]0.526926[/C][/ROW]
[ROW][C]56[/C][C]-0.081983[/C][C]-0.635[/C][C]0.73609[/C][/ROW]
[ROW][C]57[/C][C]-0.04911[/C][C]-0.3804[/C][C]0.647506[/C][/ROW]
[ROW][C]58[/C][C]-0.034566[/C][C]-0.2677[/C][C]0.605093[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3045&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3045&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
00.941297.29120
1-0.016344-0.12660.550161
2-0.066911-0.51830.69692
3-0.155133-1.20170.88289
4-0.015026-0.11640.546135
5-0.010636-0.08240.532693
6-0.132277-1.02460.84517
70.0141660.10970.456495
80.0060310.04670.481446
9-0.066023-0.51140.694529
10-0.060746-0.47050.68016
11-0.018081-0.14010.555458
12-0.026572-0.20580.581187
13-0.008234-0.06380.52532
14-0.03741-0.28980.613506
150.0176970.13710.445714
16-0.020244-0.15680.562038
170.0009720.00750.497008
18-0.065723-0.50910.693721
19-0.043463-0.33670.631228
200.0425370.32950.371468
21-0.040212-0.31150.621743
22-0.032322-0.25040.598419
230.0377550.29240.385477
24-0.019587-0.15170.560042
25-0.045962-0.3560.638462
26-0.073443-0.56890.714221
27-0.021698-0.16810.566455
28-0.022323-0.17290.568348
29-0.051774-0.4010.655092
30-0.000658-0.00510.502023
31-0.020143-0.1560.561733
32-0.02876-0.22280.587766
33-0.00587-0.04550.518058
34-0.025156-0.19490.576918
35-0.011608-0.08990.535672
360.0274730.21280.416101
37-0.042046-0.32570.627101
38-0.004869-0.03770.514979
390.0149720.1160.454031
40-0.008515-0.0660.526185
41-0.015665-0.12130.548086
420.0123780.09590.461968
430.0296530.22970.409555
44-0.002979-0.02310.509166
45-0.020751-0.16070.563579
460.0355160.27510.392091
47-0.008969-0.06950.527578
480.0274710.21280.416105
490.0028030.02170.491374
500.0029030.02250.491069
510.0481240.37280.355317
52-0.054111-0.41910.661695
53-0.191819-1.48580.928719
540.007370.05710.477331
55-0.008757-0.06780.526926
56-0.081983-0.6350.73609
57-0.04911-0.38040.647506
58-0.034566-0.26770.605093
59NANANA



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 0 ; 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 1:par1) {
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(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-1,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(mytstat,lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')