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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, 22 Dec 2008 02:49:30 -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/22/t1229939475zc2ykzrvbr5i73h.htm/, Retrieved Mon, 13 May 2024 13:19:43 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=35966, Retrieved Mon, 13 May 2024 13:19:43 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact163
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [ACF Azië] [2008-12-22 09:49:30] [a413cf7744efd6bb212437a3916e2f23] [Current]
-   PD    [(Partial) Autocorrelation Function] [ACF paper] [2008-12-23 12:15:50] [74be16979710d4c4e7c6647856088456]
- RMPD      [Multiple Regression] [UitvoerAfrika] [2008-12-23 12:50:25] [4238876274b434b9c82080bce2179078]
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Dataseries X:
1025,5
691,2
971,6
926
997,1
964,9
860
948
951,4
827,3
994
944,5
976,2
668,8
939,9
1096,1
977,7
1096,9
1060,8
1121,4
1190,9
1177,9
1108,1
1045,6
1263,9
911
1175,9
1091,3
1027,7
1081,7
879,7
955,5
1037,9
959,9
931,8
1062,2
1077,2
668,4
954,3
797,2
829,2
957,3
844,2
893,6
1132
898,8
1064
1279,7
1382,5
824,1
1304,1
1253,5
1136,3
1414,7
1293,2
1325,7
1463,8
1244,2
1573,6
1327,3
1418,5
1042,2
1384,8
1474,8
1556,5
1466,2
1221,7
1279,7
1348,4
1189,8
1296,6
1417,6
1513,9
1006,1
1202,8
1258,8
1211,5
1283,3
1332,3
1374,3
1406,1
1419,1
1554,4
1499,8
1609,6
1033,9
1550,5
1491,4
1368,9
1537,1
1492,3
1504,1
1301,2
1344,2
1319,1
1420,3
1582,9
1002,6
1559,1
1462,7
1414,8
1537,5
1455,9
1619,9
1667,2
1488,9
1442,5
1779,6
1801,9
1233,4
1581,1
1515
1439,2
1585,8
1488,8
1601,3
1646,8
1630,2
1720,7
2013,5
2051,2
1404,7
2015,9
1544,1
1816,6
1773,4
1577,4
1709,8
1810,2
1520,5
1798,6
1666,8
1730,4
1147,8
1777
1700
1907,4
1745,8
1771,6
1790,2
1958,7
1560,4
1752,1
2011,6
2082,8
1616,4
1846,1
1824,9
1711,3
1805
1737,6
1939,6
1711,4
1964,8
1864,4
1980,7
2226,7
1433,3
1960,7




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=35966&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=35966&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35966&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
10.7478239.42970
20.7798199.83310
30.7658629.65720
40.7363719.28530
50.716389.03320
60.6845218.63150
70.6744968.50510
80.6582078.29970
90.6412948.08640
100.5937477.48690
110.5463386.88910
120.6855048.64390
130.5039966.35510
140.5291186.67190
150.5294156.67570
160.5175666.52630
170.5044086.36030
180.4892896.16970
190.4770156.01490
200.4678775.89970
210.4601825.80270
220.4230025.33390
230.3872984.88361e-06
240.5241946.60980
250.3713454.68253e-06
260.4178475.26880
270.4108865.18110
280.4083675.14930
290.3998545.0421e-06
300.3698144.66323e-06
310.3854174.85991e-06
320.3648464.60054e-06
330.3561374.49077e-06
340.3223584.06483.8e-05
350.278993.51790.000284
360.4138025.21780
370.2486363.13520.001023
380.2632633.31960.000559
390.2356032.97080.001716
400.2125472.68010.004067
410.1706462.15180.016463
420.1390671.75360.040716
430.1400811.76640.039627
440.1083131.36580.086969
450.1040241.31170.095757
460.0664120.83740.201807
470.0355710.44850.327192
480.1451481.83020.034543
490.0227130.28640.38747
500.0370220.46680.320632
510.0289530.36510.357769
520.0246850.31130.378005
530.0134590.16970.432727
540.0103490.13050.448172
550.0142360.17950.428881
56-0.004559-0.05750.477117
570.0039140.04940.480351
58-0.033393-0.42110.337135
59-0.058602-0.73890.230516
600.0517910.65310.257331

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.747823 & 9.4297 & 0 \tabularnewline
2 & 0.779819 & 9.8331 & 0 \tabularnewline
3 & 0.765862 & 9.6572 & 0 \tabularnewline
4 & 0.736371 & 9.2853 & 0 \tabularnewline
5 & 0.71638 & 9.0332 & 0 \tabularnewline
6 & 0.684521 & 8.6315 & 0 \tabularnewline
7 & 0.674496 & 8.5051 & 0 \tabularnewline
8 & 0.658207 & 8.2997 & 0 \tabularnewline
9 & 0.641294 & 8.0864 & 0 \tabularnewline
10 & 0.593747 & 7.4869 & 0 \tabularnewline
11 & 0.546338 & 6.8891 & 0 \tabularnewline
12 & 0.685504 & 8.6439 & 0 \tabularnewline
13 & 0.503996 & 6.3551 & 0 \tabularnewline
14 & 0.529118 & 6.6719 & 0 \tabularnewline
15 & 0.529415 & 6.6757 & 0 \tabularnewline
16 & 0.517566 & 6.5263 & 0 \tabularnewline
17 & 0.504408 & 6.3603 & 0 \tabularnewline
18 & 0.489289 & 6.1697 & 0 \tabularnewline
19 & 0.477015 & 6.0149 & 0 \tabularnewline
20 & 0.467877 & 5.8997 & 0 \tabularnewline
21 & 0.460182 & 5.8027 & 0 \tabularnewline
22 & 0.423002 & 5.3339 & 0 \tabularnewline
23 & 0.387298 & 4.8836 & 1e-06 \tabularnewline
24 & 0.524194 & 6.6098 & 0 \tabularnewline
25 & 0.371345 & 4.6825 & 3e-06 \tabularnewline
26 & 0.417847 & 5.2688 & 0 \tabularnewline
27 & 0.410886 & 5.1811 & 0 \tabularnewline
28 & 0.408367 & 5.1493 & 0 \tabularnewline
29 & 0.399854 & 5.042 & 1e-06 \tabularnewline
30 & 0.369814 & 4.6632 & 3e-06 \tabularnewline
31 & 0.385417 & 4.8599 & 1e-06 \tabularnewline
32 & 0.364846 & 4.6005 & 4e-06 \tabularnewline
33 & 0.356137 & 4.4907 & 7e-06 \tabularnewline
34 & 0.322358 & 4.0648 & 3.8e-05 \tabularnewline
35 & 0.27899 & 3.5179 & 0.000284 \tabularnewline
36 & 0.413802 & 5.2178 & 0 \tabularnewline
37 & 0.248636 & 3.1352 & 0.001023 \tabularnewline
38 & 0.263263 & 3.3196 & 0.000559 \tabularnewline
39 & 0.235603 & 2.9708 & 0.001716 \tabularnewline
40 & 0.212547 & 2.6801 & 0.004067 \tabularnewline
41 & 0.170646 & 2.1518 & 0.016463 \tabularnewline
42 & 0.139067 & 1.7536 & 0.040716 \tabularnewline
43 & 0.140081 & 1.7664 & 0.039627 \tabularnewline
44 & 0.108313 & 1.3658 & 0.086969 \tabularnewline
45 & 0.104024 & 1.3117 & 0.095757 \tabularnewline
46 & 0.066412 & 0.8374 & 0.201807 \tabularnewline
47 & 0.035571 & 0.4485 & 0.327192 \tabularnewline
48 & 0.145148 & 1.8302 & 0.034543 \tabularnewline
49 & 0.022713 & 0.2864 & 0.38747 \tabularnewline
50 & 0.037022 & 0.4668 & 0.320632 \tabularnewline
51 & 0.028953 & 0.3651 & 0.357769 \tabularnewline
52 & 0.024685 & 0.3113 & 0.378005 \tabularnewline
53 & 0.013459 & 0.1697 & 0.432727 \tabularnewline
54 & 0.010349 & 0.1305 & 0.448172 \tabularnewline
55 & 0.014236 & 0.1795 & 0.428881 \tabularnewline
56 & -0.004559 & -0.0575 & 0.477117 \tabularnewline
57 & 0.003914 & 0.0494 & 0.480351 \tabularnewline
58 & -0.033393 & -0.4211 & 0.337135 \tabularnewline
59 & -0.058602 & -0.7389 & 0.230516 \tabularnewline
60 & 0.051791 & 0.6531 & 0.257331 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35966&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]0.747823[/C][C]9.4297[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.779819[/C][C]9.8331[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.765862[/C][C]9.6572[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.736371[/C][C]9.2853[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.71638[/C][C]9.0332[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.684521[/C][C]8.6315[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.674496[/C][C]8.5051[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.658207[/C][C]8.2997[/C][C]0[/C][/ROW]
[ROW][C]9[/C][C]0.641294[/C][C]8.0864[/C][C]0[/C][/ROW]
[ROW][C]10[/C][C]0.593747[/C][C]7.4869[/C][C]0[/C][/ROW]
[ROW][C]11[/C][C]0.546338[/C][C]6.8891[/C][C]0[/C][/ROW]
[ROW][C]12[/C][C]0.685504[/C][C]8.6439[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.503996[/C][C]6.3551[/C][C]0[/C][/ROW]
[ROW][C]14[/C][C]0.529118[/C][C]6.6719[/C][C]0[/C][/ROW]
[ROW][C]15[/C][C]0.529415[/C][C]6.6757[/C][C]0[/C][/ROW]
[ROW][C]16[/C][C]0.517566[/C][C]6.5263[/C][C]0[/C][/ROW]
[ROW][C]17[/C][C]0.504408[/C][C]6.3603[/C][C]0[/C][/ROW]
[ROW][C]18[/C][C]0.489289[/C][C]6.1697[/C][C]0[/C][/ROW]
[ROW][C]19[/C][C]0.477015[/C][C]6.0149[/C][C]0[/C][/ROW]
[ROW][C]20[/C][C]0.467877[/C][C]5.8997[/C][C]0[/C][/ROW]
[ROW][C]21[/C][C]0.460182[/C][C]5.8027[/C][C]0[/C][/ROW]
[ROW][C]22[/C][C]0.423002[/C][C]5.3339[/C][C]0[/C][/ROW]
[ROW][C]23[/C][C]0.387298[/C][C]4.8836[/C][C]1e-06[/C][/ROW]
[ROW][C]24[/C][C]0.524194[/C][C]6.6098[/C][C]0[/C][/ROW]
[ROW][C]25[/C][C]0.371345[/C][C]4.6825[/C][C]3e-06[/C][/ROW]
[ROW][C]26[/C][C]0.417847[/C][C]5.2688[/C][C]0[/C][/ROW]
[ROW][C]27[/C][C]0.410886[/C][C]5.1811[/C][C]0[/C][/ROW]
[ROW][C]28[/C][C]0.408367[/C][C]5.1493[/C][C]0[/C][/ROW]
[ROW][C]29[/C][C]0.399854[/C][C]5.042[/C][C]1e-06[/C][/ROW]
[ROW][C]30[/C][C]0.369814[/C][C]4.6632[/C][C]3e-06[/C][/ROW]
[ROW][C]31[/C][C]0.385417[/C][C]4.8599[/C][C]1e-06[/C][/ROW]
[ROW][C]32[/C][C]0.364846[/C][C]4.6005[/C][C]4e-06[/C][/ROW]
[ROW][C]33[/C][C]0.356137[/C][C]4.4907[/C][C]7e-06[/C][/ROW]
[ROW][C]34[/C][C]0.322358[/C][C]4.0648[/C][C]3.8e-05[/C][/ROW]
[ROW][C]35[/C][C]0.27899[/C][C]3.5179[/C][C]0.000284[/C][/ROW]
[ROW][C]36[/C][C]0.413802[/C][C]5.2178[/C][C]0[/C][/ROW]
[ROW][C]37[/C][C]0.248636[/C][C]3.1352[/C][C]0.001023[/C][/ROW]
[ROW][C]38[/C][C]0.263263[/C][C]3.3196[/C][C]0.000559[/C][/ROW]
[ROW][C]39[/C][C]0.235603[/C][C]2.9708[/C][C]0.001716[/C][/ROW]
[ROW][C]40[/C][C]0.212547[/C][C]2.6801[/C][C]0.004067[/C][/ROW]
[ROW][C]41[/C][C]0.170646[/C][C]2.1518[/C][C]0.016463[/C][/ROW]
[ROW][C]42[/C][C]0.139067[/C][C]1.7536[/C][C]0.040716[/C][/ROW]
[ROW][C]43[/C][C]0.140081[/C][C]1.7664[/C][C]0.039627[/C][/ROW]
[ROW][C]44[/C][C]0.108313[/C][C]1.3658[/C][C]0.086969[/C][/ROW]
[ROW][C]45[/C][C]0.104024[/C][C]1.3117[/C][C]0.095757[/C][/ROW]
[ROW][C]46[/C][C]0.066412[/C][C]0.8374[/C][C]0.201807[/C][/ROW]
[ROW][C]47[/C][C]0.035571[/C][C]0.4485[/C][C]0.327192[/C][/ROW]
[ROW][C]48[/C][C]0.145148[/C][C]1.8302[/C][C]0.034543[/C][/ROW]
[ROW][C]49[/C][C]0.022713[/C][C]0.2864[/C][C]0.38747[/C][/ROW]
[ROW][C]50[/C][C]0.037022[/C][C]0.4668[/C][C]0.320632[/C][/ROW]
[ROW][C]51[/C][C]0.028953[/C][C]0.3651[/C][C]0.357769[/C][/ROW]
[ROW][C]52[/C][C]0.024685[/C][C]0.3113[/C][C]0.378005[/C][/ROW]
[ROW][C]53[/C][C]0.013459[/C][C]0.1697[/C][C]0.432727[/C][/ROW]
[ROW][C]54[/C][C]0.010349[/C][C]0.1305[/C][C]0.448172[/C][/ROW]
[ROW][C]55[/C][C]0.014236[/C][C]0.1795[/C][C]0.428881[/C][/ROW]
[ROW][C]56[/C][C]-0.004559[/C][C]-0.0575[/C][C]0.477117[/C][/ROW]
[ROW][C]57[/C][C]0.003914[/C][C]0.0494[/C][C]0.480351[/C][/ROW]
[ROW][C]58[/C][C]-0.033393[/C][C]-0.4211[/C][C]0.337135[/C][/ROW]
[ROW][C]59[/C][C]-0.058602[/C][C]-0.7389[/C][C]0.230516[/C][/ROW]
[ROW][C]60[/C][C]0.051791[/C][C]0.6531[/C][C]0.257331[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35966&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35966&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
10.7478239.42970
20.7798199.83310
30.7658629.65720
40.7363719.28530
50.716389.03320
60.6845218.63150
70.6744968.50510
80.6582078.29970
90.6412948.08640
100.5937477.48690
110.5463386.88910
120.6855048.64390
130.5039966.35510
140.5291186.67190
150.5294156.67570
160.5175666.52630
170.5044086.36030
180.4892896.16970
190.4770156.01490
200.4678775.89970
210.4601825.80270
220.4230025.33390
230.3872984.88361e-06
240.5241946.60980
250.3713454.68253e-06
260.4178475.26880
270.4108865.18110
280.4083675.14930
290.3998545.0421e-06
300.3698144.66323e-06
310.3854174.85991e-06
320.3648464.60054e-06
330.3561374.49077e-06
340.3223584.06483.8e-05
350.278993.51790.000284
360.4138025.21780
370.2486363.13520.001023
380.2632633.31960.000559
390.2356032.97080.001716
400.2125472.68010.004067
410.1706462.15180.016463
420.1390671.75360.040716
430.1400811.76640.039627
440.1083131.36580.086969
450.1040241.31170.095757
460.0664120.83740.201807
470.0355710.44850.327192
480.1451481.83020.034543
490.0227130.28640.38747
500.0370220.46680.320632
510.0289530.36510.357769
520.0246850.31130.378005
530.0134590.16970.432727
540.0103490.13050.448172
550.0142360.17950.428881
56-0.004559-0.05750.477117
570.0039140.04940.480351
58-0.033393-0.42110.337135
59-0.058602-0.73890.230516
600.0517910.65310.257331







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.7478239.42970
20.5004526.31050
30.3035753.82799.3e-05
40.1259441.58810.057126
50.0443110.55870.288562
6-0.02595-0.32720.371968
70.0129010.16270.43549
80.0329250.41520.339288
90.0295670.37280.354887
10-0.091788-1.15740.124422
11-0.173422-2.18680.01511
120.4692065.91650
13-0.281362-3.54780.000255
14-0.146669-1.84940.033127
150.0793741.00090.159205
160.1185231.49450.068511
170.0157050.1980.421638
180.0279810.35280.362341
19-0.02971-0.37460.354218
20-0.050862-0.64130.261112
21-0.004701-0.05930.476401
220.0396210.49960.309023
23-0.05174-0.65240.257537
240.2056632.59330.005196
25-0.075929-0.95740.169903
260.019990.25210.400657
27-0.020755-0.26170.396944
280.0201320.25390.399969
290.0034360.04330.482749
30-0.104245-1.31450.09529
310.0877731.10680.135033
32-0.040334-0.50860.305872
33-0.093989-1.18520.118862
340.0022610.02850.488646
35-0.05065-0.63870.261977
360.1701482.14550.016716
37-0.136833-1.72540.0432
38-0.207198-2.61270.004923
39-0.099588-1.25580.105523
40-0.046021-0.58030.281268
41-0.101278-1.27710.10172
42-0.002216-0.02790.48887
430.0293760.37040.35578
44-0.04129-0.52070.301667
450.0520920.65690.256111
460.0929291.17180.121516
470.0601390.75830.224688
48-0.005534-0.06980.472227
490.0620980.7830.217389
50-0.043549-0.54910.291841
51-0.054033-0.68130.248327
52-0.04714-0.59440.27654
530.0657490.82910.204156
540.0594640.74980.227239
55-0.06029-0.76020.224123
56-0.004624-0.05830.476789
570.0059260.07470.470262
58-0.025271-0.31870.375202
590.0242080.30520.380288
600.0347510.43820.330922

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.747823 & 9.4297 & 0 \tabularnewline
2 & 0.500452 & 6.3105 & 0 \tabularnewline
3 & 0.303575 & 3.8279 & 9.3e-05 \tabularnewline
4 & 0.125944 & 1.5881 & 0.057126 \tabularnewline
5 & 0.044311 & 0.5587 & 0.288562 \tabularnewline
6 & -0.02595 & -0.3272 & 0.371968 \tabularnewline
7 & 0.012901 & 0.1627 & 0.43549 \tabularnewline
8 & 0.032925 & 0.4152 & 0.339288 \tabularnewline
9 & 0.029567 & 0.3728 & 0.354887 \tabularnewline
10 & -0.091788 & -1.1574 & 0.124422 \tabularnewline
11 & -0.173422 & -2.1868 & 0.01511 \tabularnewline
12 & 0.469206 & 5.9165 & 0 \tabularnewline
13 & -0.281362 & -3.5478 & 0.000255 \tabularnewline
14 & -0.146669 & -1.8494 & 0.033127 \tabularnewline
15 & 0.079374 & 1.0009 & 0.159205 \tabularnewline
16 & 0.118523 & 1.4945 & 0.068511 \tabularnewline
17 & 0.015705 & 0.198 & 0.421638 \tabularnewline
18 & 0.027981 & 0.3528 & 0.362341 \tabularnewline
19 & -0.02971 & -0.3746 & 0.354218 \tabularnewline
20 & -0.050862 & -0.6413 & 0.261112 \tabularnewline
21 & -0.004701 & -0.0593 & 0.476401 \tabularnewline
22 & 0.039621 & 0.4996 & 0.309023 \tabularnewline
23 & -0.05174 & -0.6524 & 0.257537 \tabularnewline
24 & 0.205663 & 2.5933 & 0.005196 \tabularnewline
25 & -0.075929 & -0.9574 & 0.169903 \tabularnewline
26 & 0.01999 & 0.2521 & 0.400657 \tabularnewline
27 & -0.020755 & -0.2617 & 0.396944 \tabularnewline
28 & 0.020132 & 0.2539 & 0.399969 \tabularnewline
29 & 0.003436 & 0.0433 & 0.482749 \tabularnewline
30 & -0.104245 & -1.3145 & 0.09529 \tabularnewline
31 & 0.087773 & 1.1068 & 0.135033 \tabularnewline
32 & -0.040334 & -0.5086 & 0.305872 \tabularnewline
33 & -0.093989 & -1.1852 & 0.118862 \tabularnewline
34 & 0.002261 & 0.0285 & 0.488646 \tabularnewline
35 & -0.05065 & -0.6387 & 0.261977 \tabularnewline
36 & 0.170148 & 2.1455 & 0.016716 \tabularnewline
37 & -0.136833 & -1.7254 & 0.0432 \tabularnewline
38 & -0.207198 & -2.6127 & 0.004923 \tabularnewline
39 & -0.099588 & -1.2558 & 0.105523 \tabularnewline
40 & -0.046021 & -0.5803 & 0.281268 \tabularnewline
41 & -0.101278 & -1.2771 & 0.10172 \tabularnewline
42 & -0.002216 & -0.0279 & 0.48887 \tabularnewline
43 & 0.029376 & 0.3704 & 0.35578 \tabularnewline
44 & -0.04129 & -0.5207 & 0.301667 \tabularnewline
45 & 0.052092 & 0.6569 & 0.256111 \tabularnewline
46 & 0.092929 & 1.1718 & 0.121516 \tabularnewline
47 & 0.060139 & 0.7583 & 0.224688 \tabularnewline
48 & -0.005534 & -0.0698 & 0.472227 \tabularnewline
49 & 0.062098 & 0.783 & 0.217389 \tabularnewline
50 & -0.043549 & -0.5491 & 0.291841 \tabularnewline
51 & -0.054033 & -0.6813 & 0.248327 \tabularnewline
52 & -0.04714 & -0.5944 & 0.27654 \tabularnewline
53 & 0.065749 & 0.8291 & 0.204156 \tabularnewline
54 & 0.059464 & 0.7498 & 0.227239 \tabularnewline
55 & -0.06029 & -0.7602 & 0.224123 \tabularnewline
56 & -0.004624 & -0.0583 & 0.476789 \tabularnewline
57 & 0.005926 & 0.0747 & 0.470262 \tabularnewline
58 & -0.025271 & -0.3187 & 0.375202 \tabularnewline
59 & 0.024208 & 0.3052 & 0.380288 \tabularnewline
60 & 0.034751 & 0.4382 & 0.330922 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35966&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]0.747823[/C][C]9.4297[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.500452[/C][C]6.3105[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.303575[/C][C]3.8279[/C][C]9.3e-05[/C][/ROW]
[ROW][C]4[/C][C]0.125944[/C][C]1.5881[/C][C]0.057126[/C][/ROW]
[ROW][C]5[/C][C]0.044311[/C][C]0.5587[/C][C]0.288562[/C][/ROW]
[ROW][C]6[/C][C]-0.02595[/C][C]-0.3272[/C][C]0.371968[/C][/ROW]
[ROW][C]7[/C][C]0.012901[/C][C]0.1627[/C][C]0.43549[/C][/ROW]
[ROW][C]8[/C][C]0.032925[/C][C]0.4152[/C][C]0.339288[/C][/ROW]
[ROW][C]9[/C][C]0.029567[/C][C]0.3728[/C][C]0.354887[/C][/ROW]
[ROW][C]10[/C][C]-0.091788[/C][C]-1.1574[/C][C]0.124422[/C][/ROW]
[ROW][C]11[/C][C]-0.173422[/C][C]-2.1868[/C][C]0.01511[/C][/ROW]
[ROW][C]12[/C][C]0.469206[/C][C]5.9165[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]-0.281362[/C][C]-3.5478[/C][C]0.000255[/C][/ROW]
[ROW][C]14[/C][C]-0.146669[/C][C]-1.8494[/C][C]0.033127[/C][/ROW]
[ROW][C]15[/C][C]0.079374[/C][C]1.0009[/C][C]0.159205[/C][/ROW]
[ROW][C]16[/C][C]0.118523[/C][C]1.4945[/C][C]0.068511[/C][/ROW]
[ROW][C]17[/C][C]0.015705[/C][C]0.198[/C][C]0.421638[/C][/ROW]
[ROW][C]18[/C][C]0.027981[/C][C]0.3528[/C][C]0.362341[/C][/ROW]
[ROW][C]19[/C][C]-0.02971[/C][C]-0.3746[/C][C]0.354218[/C][/ROW]
[ROW][C]20[/C][C]-0.050862[/C][C]-0.6413[/C][C]0.261112[/C][/ROW]
[ROW][C]21[/C][C]-0.004701[/C][C]-0.0593[/C][C]0.476401[/C][/ROW]
[ROW][C]22[/C][C]0.039621[/C][C]0.4996[/C][C]0.309023[/C][/ROW]
[ROW][C]23[/C][C]-0.05174[/C][C]-0.6524[/C][C]0.257537[/C][/ROW]
[ROW][C]24[/C][C]0.205663[/C][C]2.5933[/C][C]0.005196[/C][/ROW]
[ROW][C]25[/C][C]-0.075929[/C][C]-0.9574[/C][C]0.169903[/C][/ROW]
[ROW][C]26[/C][C]0.01999[/C][C]0.2521[/C][C]0.400657[/C][/ROW]
[ROW][C]27[/C][C]-0.020755[/C][C]-0.2617[/C][C]0.396944[/C][/ROW]
[ROW][C]28[/C][C]0.020132[/C][C]0.2539[/C][C]0.399969[/C][/ROW]
[ROW][C]29[/C][C]0.003436[/C][C]0.0433[/C][C]0.482749[/C][/ROW]
[ROW][C]30[/C][C]-0.104245[/C][C]-1.3145[/C][C]0.09529[/C][/ROW]
[ROW][C]31[/C][C]0.087773[/C][C]1.1068[/C][C]0.135033[/C][/ROW]
[ROW][C]32[/C][C]-0.040334[/C][C]-0.5086[/C][C]0.305872[/C][/ROW]
[ROW][C]33[/C][C]-0.093989[/C][C]-1.1852[/C][C]0.118862[/C][/ROW]
[ROW][C]34[/C][C]0.002261[/C][C]0.0285[/C][C]0.488646[/C][/ROW]
[ROW][C]35[/C][C]-0.05065[/C][C]-0.6387[/C][C]0.261977[/C][/ROW]
[ROW][C]36[/C][C]0.170148[/C][C]2.1455[/C][C]0.016716[/C][/ROW]
[ROW][C]37[/C][C]-0.136833[/C][C]-1.7254[/C][C]0.0432[/C][/ROW]
[ROW][C]38[/C][C]-0.207198[/C][C]-2.6127[/C][C]0.004923[/C][/ROW]
[ROW][C]39[/C][C]-0.099588[/C][C]-1.2558[/C][C]0.105523[/C][/ROW]
[ROW][C]40[/C][C]-0.046021[/C][C]-0.5803[/C][C]0.281268[/C][/ROW]
[ROW][C]41[/C][C]-0.101278[/C][C]-1.2771[/C][C]0.10172[/C][/ROW]
[ROW][C]42[/C][C]-0.002216[/C][C]-0.0279[/C][C]0.48887[/C][/ROW]
[ROW][C]43[/C][C]0.029376[/C][C]0.3704[/C][C]0.35578[/C][/ROW]
[ROW][C]44[/C][C]-0.04129[/C][C]-0.5207[/C][C]0.301667[/C][/ROW]
[ROW][C]45[/C][C]0.052092[/C][C]0.6569[/C][C]0.256111[/C][/ROW]
[ROW][C]46[/C][C]0.092929[/C][C]1.1718[/C][C]0.121516[/C][/ROW]
[ROW][C]47[/C][C]0.060139[/C][C]0.7583[/C][C]0.224688[/C][/ROW]
[ROW][C]48[/C][C]-0.005534[/C][C]-0.0698[/C][C]0.472227[/C][/ROW]
[ROW][C]49[/C][C]0.062098[/C][C]0.783[/C][C]0.217389[/C][/ROW]
[ROW][C]50[/C][C]-0.043549[/C][C]-0.5491[/C][C]0.291841[/C][/ROW]
[ROW][C]51[/C][C]-0.054033[/C][C]-0.6813[/C][C]0.248327[/C][/ROW]
[ROW][C]52[/C][C]-0.04714[/C][C]-0.5944[/C][C]0.27654[/C][/ROW]
[ROW][C]53[/C][C]0.065749[/C][C]0.8291[/C][C]0.204156[/C][/ROW]
[ROW][C]54[/C][C]0.059464[/C][C]0.7498[/C][C]0.227239[/C][/ROW]
[ROW][C]55[/C][C]-0.06029[/C][C]-0.7602[/C][C]0.224123[/C][/ROW]
[ROW][C]56[/C][C]-0.004624[/C][C]-0.0583[/C][C]0.476789[/C][/ROW]
[ROW][C]57[/C][C]0.005926[/C][C]0.0747[/C][C]0.470262[/C][/ROW]
[ROW][C]58[/C][C]-0.025271[/C][C]-0.3187[/C][C]0.375202[/C][/ROW]
[ROW][C]59[/C][C]0.024208[/C][C]0.3052[/C][C]0.380288[/C][/ROW]
[ROW][C]60[/C][C]0.034751[/C][C]0.4382[/C][C]0.330922[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35966&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35966&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
10.7478239.42970
20.5004526.31050
30.3035753.82799.3e-05
40.1259441.58810.057126
50.0443110.55870.288562
6-0.02595-0.32720.371968
70.0129010.16270.43549
80.0329250.41520.339288
90.0295670.37280.354887
10-0.091788-1.15740.124422
11-0.173422-2.18680.01511
120.4692065.91650
13-0.281362-3.54780.000255
14-0.146669-1.84940.033127
150.0793741.00090.159205
160.1185231.49450.068511
170.0157050.1980.421638
180.0279810.35280.362341
19-0.02971-0.37460.354218
20-0.050862-0.64130.261112
21-0.004701-0.05930.476401
220.0396210.49960.309023
23-0.05174-0.65240.257537
240.2056632.59330.005196
25-0.075929-0.95740.169903
260.019990.25210.400657
27-0.020755-0.26170.396944
280.0201320.25390.399969
290.0034360.04330.482749
30-0.104245-1.31450.09529
310.0877731.10680.135033
32-0.040334-0.50860.305872
33-0.093989-1.18520.118862
340.0022610.02850.488646
35-0.05065-0.63870.261977
360.1701482.14550.016716
37-0.136833-1.72540.0432
38-0.207198-2.61270.004923
39-0.099588-1.25580.105523
40-0.046021-0.58030.281268
41-0.101278-1.27710.10172
42-0.002216-0.02790.48887
430.0293760.37040.35578
44-0.04129-0.52070.301667
450.0520920.65690.256111
460.0929291.17180.121516
470.0601390.75830.224688
48-0.005534-0.06980.472227
490.0620980.7830.217389
50-0.043549-0.54910.291841
51-0.054033-0.68130.248327
52-0.04714-0.59440.27654
530.0657490.82910.204156
540.0594640.74980.227239
55-0.06029-0.76020.224123
56-0.004624-0.05830.476789
570.0059260.07470.470262
58-0.025271-0.31870.375202
590.0242080.30520.380288
600.0347510.43820.330922



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 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')