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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationWed, 10 Dec 2008 07:15:13 -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/10/t1228918585ax6j8csfo13bghl.htm/, Retrieved Sun, 19 May 2024 06:02:35 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=31969, Retrieved Sun, 19 May 2024 06:02:35 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact159
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [ACF - 60 lags] [2008-12-10 14:15:13] [5f3e73ccf1ddc75508eed47fa51813d3] [Current]
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Dataseries X:
632
1270
1211
1469
2570
2765
2487
3644
2501
1629
987
1100
690
1378
1376
1736
2800
2671
2508
3590
2691
1629
1020
1224
787
1424
1232
2021
2782
2682
3284
3194
2736
1701
1089
1240
799
1163
1180
1960
2914
2658
3254
3222
2987
1604
1032
1283
774
1109
1453
1849
2800
3310
3060
3422
3448
1670
1022
1391
767
1172
1498
1623
2646
3439




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 1 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=31969&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=31969&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31969&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 time1 seconds
R Server'George Udny Yule' @ 72.249.76.132







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.7015685.69960
20.3558732.89110.002596
30.0041160.03340.486713
4-0.429855-3.49220.00043
5-0.714959-5.80840
6-0.768645-6.24450
7-0.684701-5.56250
8-0.349138-2.83640.003026
90.0745460.60560.273423
100.3646392.96230.002121
110.6101814.95713e-06
120.7796996.33430
130.5725944.65188e-06
140.290332.35870.010656
15-0.016233-0.13190.447742
16-0.334727-2.71930.004175
17-0.562763-4.57191.1e-05
18-0.623911-5.06872e-06
19-0.539002-4.37892.2e-05
20-0.2805-2.27880.012961
210.0518880.42150.337365
220.2945062.39260.009792
230.4888313.97139e-05
240.577684.69317e-06
250.4557093.70220.000219
260.2232421.81360.037141
27-0.031253-0.25390.400181
28-0.251029-2.03940.02271
29-0.432345-3.51240.000403
30-0.4765-3.87110.000126
31-0.391252-3.17850.001127
32-0.216087-1.75550.041907
330.0409250.33250.370291
340.2223931.80670.037682
350.3453992.8060.003292
360.4154983.37550.000619
370.3277062.66230.004869
380.1335571.0850.140929
39-0.02747-0.22320.412046
40-0.172732-1.40330.08261
41-0.312314-2.53730.006772
42-0.315487-2.5630.006332
43-0.257569-2.09250.020122
44-0.144763-1.17610.121897
450.0535830.43530.332378
460.1660511.3490.090973
470.1920451.56020.06175
480.2547872.06990.02119
490.1968841.59950.057244
500.0600710.4880.313577
51-0.022781-0.18510.426869
52-0.108495-0.88140.190645
53-0.189316-1.5380.064414
54-0.160501-1.30390.098396
55-0.125247-1.01750.156312
56-0.05808-0.47180.319297
570.0564330.45850.324064
580.0989060.80350.212281
590.0671040.54520.293742
600.0807970.65640.256926

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.701568 & 5.6996 & 0 \tabularnewline
2 & 0.355873 & 2.8911 & 0.002596 \tabularnewline
3 & 0.004116 & 0.0334 & 0.486713 \tabularnewline
4 & -0.429855 & -3.4922 & 0.00043 \tabularnewline
5 & -0.714959 & -5.8084 & 0 \tabularnewline
6 & -0.768645 & -6.2445 & 0 \tabularnewline
7 & -0.684701 & -5.5625 & 0 \tabularnewline
8 & -0.349138 & -2.8364 & 0.003026 \tabularnewline
9 & 0.074546 & 0.6056 & 0.273423 \tabularnewline
10 & 0.364639 & 2.9623 & 0.002121 \tabularnewline
11 & 0.610181 & 4.9571 & 3e-06 \tabularnewline
12 & 0.779699 & 6.3343 & 0 \tabularnewline
13 & 0.572594 & 4.6518 & 8e-06 \tabularnewline
14 & 0.29033 & 2.3587 & 0.010656 \tabularnewline
15 & -0.016233 & -0.1319 & 0.447742 \tabularnewline
16 & -0.334727 & -2.7193 & 0.004175 \tabularnewline
17 & -0.562763 & -4.5719 & 1.1e-05 \tabularnewline
18 & -0.623911 & -5.0687 & 2e-06 \tabularnewline
19 & -0.539002 & -4.3789 & 2.2e-05 \tabularnewline
20 & -0.2805 & -2.2788 & 0.012961 \tabularnewline
21 & 0.051888 & 0.4215 & 0.337365 \tabularnewline
22 & 0.294506 & 2.3926 & 0.009792 \tabularnewline
23 & 0.488831 & 3.9713 & 9e-05 \tabularnewline
24 & 0.57768 & 4.6931 & 7e-06 \tabularnewline
25 & 0.455709 & 3.7022 & 0.000219 \tabularnewline
26 & 0.223242 & 1.8136 & 0.037141 \tabularnewline
27 & -0.031253 & -0.2539 & 0.400181 \tabularnewline
28 & -0.251029 & -2.0394 & 0.02271 \tabularnewline
29 & -0.432345 & -3.5124 & 0.000403 \tabularnewline
30 & -0.4765 & -3.8711 & 0.000126 \tabularnewline
31 & -0.391252 & -3.1785 & 0.001127 \tabularnewline
32 & -0.216087 & -1.7555 & 0.041907 \tabularnewline
33 & 0.040925 & 0.3325 & 0.370291 \tabularnewline
34 & 0.222393 & 1.8067 & 0.037682 \tabularnewline
35 & 0.345399 & 2.806 & 0.003292 \tabularnewline
36 & 0.415498 & 3.3755 & 0.000619 \tabularnewline
37 & 0.327706 & 2.6623 & 0.004869 \tabularnewline
38 & 0.133557 & 1.085 & 0.140929 \tabularnewline
39 & -0.02747 & -0.2232 & 0.412046 \tabularnewline
40 & -0.172732 & -1.4033 & 0.08261 \tabularnewline
41 & -0.312314 & -2.5373 & 0.006772 \tabularnewline
42 & -0.315487 & -2.563 & 0.006332 \tabularnewline
43 & -0.257569 & -2.0925 & 0.020122 \tabularnewline
44 & -0.144763 & -1.1761 & 0.121897 \tabularnewline
45 & 0.053583 & 0.4353 & 0.332378 \tabularnewline
46 & 0.166051 & 1.349 & 0.090973 \tabularnewline
47 & 0.192045 & 1.5602 & 0.06175 \tabularnewline
48 & 0.254787 & 2.0699 & 0.02119 \tabularnewline
49 & 0.196884 & 1.5995 & 0.057244 \tabularnewline
50 & 0.060071 & 0.488 & 0.313577 \tabularnewline
51 & -0.022781 & -0.1851 & 0.426869 \tabularnewline
52 & -0.108495 & -0.8814 & 0.190645 \tabularnewline
53 & -0.189316 & -1.538 & 0.064414 \tabularnewline
54 & -0.160501 & -1.3039 & 0.098396 \tabularnewline
55 & -0.125247 & -1.0175 & 0.156312 \tabularnewline
56 & -0.05808 & -0.4718 & 0.319297 \tabularnewline
57 & 0.056433 & 0.4585 & 0.324064 \tabularnewline
58 & 0.098906 & 0.8035 & 0.212281 \tabularnewline
59 & 0.067104 & 0.5452 & 0.293742 \tabularnewline
60 & 0.080797 & 0.6564 & 0.256926 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=31969&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]0.701568[/C][C]5.6996[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.355873[/C][C]2.8911[/C][C]0.002596[/C][/ROW]
[ROW][C]3[/C][C]0.004116[/C][C]0.0334[/C][C]0.486713[/C][/ROW]
[ROW][C]4[/C][C]-0.429855[/C][C]-3.4922[/C][C]0.00043[/C][/ROW]
[ROW][C]5[/C][C]-0.714959[/C][C]-5.8084[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]-0.768645[/C][C]-6.2445[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]-0.684701[/C][C]-5.5625[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]-0.349138[/C][C]-2.8364[/C][C]0.003026[/C][/ROW]
[ROW][C]9[/C][C]0.074546[/C][C]0.6056[/C][C]0.273423[/C][/ROW]
[ROW][C]10[/C][C]0.364639[/C][C]2.9623[/C][C]0.002121[/C][/ROW]
[ROW][C]11[/C][C]0.610181[/C][C]4.9571[/C][C]3e-06[/C][/ROW]
[ROW][C]12[/C][C]0.779699[/C][C]6.3343[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.572594[/C][C]4.6518[/C][C]8e-06[/C][/ROW]
[ROW][C]14[/C][C]0.29033[/C][C]2.3587[/C][C]0.010656[/C][/ROW]
[ROW][C]15[/C][C]-0.016233[/C][C]-0.1319[/C][C]0.447742[/C][/ROW]
[ROW][C]16[/C][C]-0.334727[/C][C]-2.7193[/C][C]0.004175[/C][/ROW]
[ROW][C]17[/C][C]-0.562763[/C][C]-4.5719[/C][C]1.1e-05[/C][/ROW]
[ROW][C]18[/C][C]-0.623911[/C][C]-5.0687[/C][C]2e-06[/C][/ROW]
[ROW][C]19[/C][C]-0.539002[/C][C]-4.3789[/C][C]2.2e-05[/C][/ROW]
[ROW][C]20[/C][C]-0.2805[/C][C]-2.2788[/C][C]0.012961[/C][/ROW]
[ROW][C]21[/C][C]0.051888[/C][C]0.4215[/C][C]0.337365[/C][/ROW]
[ROW][C]22[/C][C]0.294506[/C][C]2.3926[/C][C]0.009792[/C][/ROW]
[ROW][C]23[/C][C]0.488831[/C][C]3.9713[/C][C]9e-05[/C][/ROW]
[ROW][C]24[/C][C]0.57768[/C][C]4.6931[/C][C]7e-06[/C][/ROW]
[ROW][C]25[/C][C]0.455709[/C][C]3.7022[/C][C]0.000219[/C][/ROW]
[ROW][C]26[/C][C]0.223242[/C][C]1.8136[/C][C]0.037141[/C][/ROW]
[ROW][C]27[/C][C]-0.031253[/C][C]-0.2539[/C][C]0.400181[/C][/ROW]
[ROW][C]28[/C][C]-0.251029[/C][C]-2.0394[/C][C]0.02271[/C][/ROW]
[ROW][C]29[/C][C]-0.432345[/C][C]-3.5124[/C][C]0.000403[/C][/ROW]
[ROW][C]30[/C][C]-0.4765[/C][C]-3.8711[/C][C]0.000126[/C][/ROW]
[ROW][C]31[/C][C]-0.391252[/C][C]-3.1785[/C][C]0.001127[/C][/ROW]
[ROW][C]32[/C][C]-0.216087[/C][C]-1.7555[/C][C]0.041907[/C][/ROW]
[ROW][C]33[/C][C]0.040925[/C][C]0.3325[/C][C]0.370291[/C][/ROW]
[ROW][C]34[/C][C]0.222393[/C][C]1.8067[/C][C]0.037682[/C][/ROW]
[ROW][C]35[/C][C]0.345399[/C][C]2.806[/C][C]0.003292[/C][/ROW]
[ROW][C]36[/C][C]0.415498[/C][C]3.3755[/C][C]0.000619[/C][/ROW]
[ROW][C]37[/C][C]0.327706[/C][C]2.6623[/C][C]0.004869[/C][/ROW]
[ROW][C]38[/C][C]0.133557[/C][C]1.085[/C][C]0.140929[/C][/ROW]
[ROW][C]39[/C][C]-0.02747[/C][C]-0.2232[/C][C]0.412046[/C][/ROW]
[ROW][C]40[/C][C]-0.172732[/C][C]-1.4033[/C][C]0.08261[/C][/ROW]
[ROW][C]41[/C][C]-0.312314[/C][C]-2.5373[/C][C]0.006772[/C][/ROW]
[ROW][C]42[/C][C]-0.315487[/C][C]-2.563[/C][C]0.006332[/C][/ROW]
[ROW][C]43[/C][C]-0.257569[/C][C]-2.0925[/C][C]0.020122[/C][/ROW]
[ROW][C]44[/C][C]-0.144763[/C][C]-1.1761[/C][C]0.121897[/C][/ROW]
[ROW][C]45[/C][C]0.053583[/C][C]0.4353[/C][C]0.332378[/C][/ROW]
[ROW][C]46[/C][C]0.166051[/C][C]1.349[/C][C]0.090973[/C][/ROW]
[ROW][C]47[/C][C]0.192045[/C][C]1.5602[/C][C]0.06175[/C][/ROW]
[ROW][C]48[/C][C]0.254787[/C][C]2.0699[/C][C]0.02119[/C][/ROW]
[ROW][C]49[/C][C]0.196884[/C][C]1.5995[/C][C]0.057244[/C][/ROW]
[ROW][C]50[/C][C]0.060071[/C][C]0.488[/C][C]0.313577[/C][/ROW]
[ROW][C]51[/C][C]-0.022781[/C][C]-0.1851[/C][C]0.426869[/C][/ROW]
[ROW][C]52[/C][C]-0.108495[/C][C]-0.8814[/C][C]0.190645[/C][/ROW]
[ROW][C]53[/C][C]-0.189316[/C][C]-1.538[/C][C]0.064414[/C][/ROW]
[ROW][C]54[/C][C]-0.160501[/C][C]-1.3039[/C][C]0.098396[/C][/ROW]
[ROW][C]55[/C][C]-0.125247[/C][C]-1.0175[/C][C]0.156312[/C][/ROW]
[ROW][C]56[/C][C]-0.05808[/C][C]-0.4718[/C][C]0.319297[/C][/ROW]
[ROW][C]57[/C][C]0.056433[/C][C]0.4585[/C][C]0.324064[/C][/ROW]
[ROW][C]58[/C][C]0.098906[/C][C]0.8035[/C][C]0.212281[/C][/ROW]
[ROW][C]59[/C][C]0.067104[/C][C]0.5452[/C][C]0.293742[/C][/ROW]
[ROW][C]60[/C][C]0.080797[/C][C]0.6564[/C][C]0.256926[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=31969&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31969&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
10.7015685.69960
20.3558732.89110.002596
30.0041160.03340.486713
4-0.429855-3.49220.00043
5-0.714959-5.80840
6-0.768645-6.24450
7-0.684701-5.56250
8-0.349138-2.83640.003026
90.0745460.60560.273423
100.3646392.96230.002121
110.6101814.95713e-06
120.7796996.33430
130.5725944.65188e-06
140.290332.35870.010656
15-0.016233-0.13190.447742
16-0.334727-2.71930.004175
17-0.562763-4.57191.1e-05
18-0.623911-5.06872e-06
19-0.539002-4.37892.2e-05
20-0.2805-2.27880.012961
210.0518880.42150.337365
220.2945062.39260.009792
230.4888313.97139e-05
240.577684.69317e-06
250.4557093.70220.000219
260.2232421.81360.037141
27-0.031253-0.25390.400181
28-0.251029-2.03940.02271
29-0.432345-3.51240.000403
30-0.4765-3.87110.000126
31-0.391252-3.17850.001127
32-0.216087-1.75550.041907
330.0409250.33250.370291
340.2223931.80670.037682
350.3453992.8060.003292
360.4154983.37550.000619
370.3277062.66230.004869
380.1335571.0850.140929
39-0.02747-0.22320.412046
40-0.172732-1.40330.08261
41-0.312314-2.53730.006772
42-0.315487-2.5630.006332
43-0.257569-2.09250.020122
44-0.144763-1.17610.121897
450.0535830.43530.332378
460.1660511.3490.090973
470.1920451.56020.06175
480.2547872.06990.02119
490.1968841.59950.057244
500.0600710.4880.313577
51-0.022781-0.18510.426869
52-0.108495-0.88140.190645
53-0.189316-1.5380.064414
54-0.160501-1.30390.098396
55-0.125247-1.01750.156312
56-0.05808-0.47180.319297
570.0564330.45850.324064
580.0989060.80350.212281
590.0671040.54520.293742
600.0807970.65640.256926







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.7015685.69960
2-0.268459-2.1810.016377
3-0.263658-2.1420.017945
4-0.538749-4.37682.2e-05
5-0.350103-2.84420.002961
6-0.229705-1.86610.033234
7-0.317188-2.57690.006107
80.0278520.22630.410845
90.0355110.28850.386935
10-0.209216-1.69970.04695
11-0.078678-0.63920.262457
120.281612.28780.01268
13-0.217727-1.76880.040772
140.017690.14370.443081
150.0265680.21580.414889
160.2303311.87120.032874
17-0.038547-0.31320.377576
18-0.029434-0.23910.405875
190.1374571.11670.134085
200.0288510.23440.407707
210.0394930.32080.374672
220.0291510.23680.406763
230.1310241.06440.145503
24-0.112245-0.91190.182574
250.0350950.28510.388225
26-0.041167-0.33440.369554
270.0634370.51540.304009
280.0347290.28210.38936
29-0.046602-0.37860.3531
300.0653570.5310.298613
31-0.01415-0.1150.454414
32-0.059997-0.48740.313789
330.0559940.45490.325339
34-0.028887-0.23470.407593
35-0.06062-0.49250.312008
360.0390930.31760.3759
37-0.135185-1.09820.138044
38-0.093802-0.76210.224371
390.0148610.12070.452135
400.0110370.08970.464411
41-0.083095-0.67510.250996
420.0047880.03890.484545
43-0.03306-0.26860.394544
44-0.032144-0.26110.397399
450.0160430.13030.448349
460.0283350.23020.409325
47-0.163049-1.32460.094933
480.0026560.02160.491426
49-0.028135-0.22860.409954
500.0263890.21440.415454
51-0.074331-0.60390.274002
52-0.020143-0.16360.435256
530.0263010.21370.415733
54-0.040792-0.33140.370698
550.0476130.38680.350072
560.0664850.54010.295463
570.0203380.16520.434635
58-0.06304-0.51210.30513
59-0.053188-0.43210.333538
60-0.072958-0.59270.277699

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.701568 & 5.6996 & 0 \tabularnewline
2 & -0.268459 & -2.181 & 0.016377 \tabularnewline
3 & -0.263658 & -2.142 & 0.017945 \tabularnewline
4 & -0.538749 & -4.3768 & 2.2e-05 \tabularnewline
5 & -0.350103 & -2.8442 & 0.002961 \tabularnewline
6 & -0.229705 & -1.8661 & 0.033234 \tabularnewline
7 & -0.317188 & -2.5769 & 0.006107 \tabularnewline
8 & 0.027852 & 0.2263 & 0.410845 \tabularnewline
9 & 0.035511 & 0.2885 & 0.386935 \tabularnewline
10 & -0.209216 & -1.6997 & 0.04695 \tabularnewline
11 & -0.078678 & -0.6392 & 0.262457 \tabularnewline
12 & 0.28161 & 2.2878 & 0.01268 \tabularnewline
13 & -0.217727 & -1.7688 & 0.040772 \tabularnewline
14 & 0.01769 & 0.1437 & 0.443081 \tabularnewline
15 & 0.026568 & 0.2158 & 0.414889 \tabularnewline
16 & 0.230331 & 1.8712 & 0.032874 \tabularnewline
17 & -0.038547 & -0.3132 & 0.377576 \tabularnewline
18 & -0.029434 & -0.2391 & 0.405875 \tabularnewline
19 & 0.137457 & 1.1167 & 0.134085 \tabularnewline
20 & 0.028851 & 0.2344 & 0.407707 \tabularnewline
21 & 0.039493 & 0.3208 & 0.374672 \tabularnewline
22 & 0.029151 & 0.2368 & 0.406763 \tabularnewline
23 & 0.131024 & 1.0644 & 0.145503 \tabularnewline
24 & -0.112245 & -0.9119 & 0.182574 \tabularnewline
25 & 0.035095 & 0.2851 & 0.388225 \tabularnewline
26 & -0.041167 & -0.3344 & 0.369554 \tabularnewline
27 & 0.063437 & 0.5154 & 0.304009 \tabularnewline
28 & 0.034729 & 0.2821 & 0.38936 \tabularnewline
29 & -0.046602 & -0.3786 & 0.3531 \tabularnewline
30 & 0.065357 & 0.531 & 0.298613 \tabularnewline
31 & -0.01415 & -0.115 & 0.454414 \tabularnewline
32 & -0.059997 & -0.4874 & 0.313789 \tabularnewline
33 & 0.055994 & 0.4549 & 0.325339 \tabularnewline
34 & -0.028887 & -0.2347 & 0.407593 \tabularnewline
35 & -0.06062 & -0.4925 & 0.312008 \tabularnewline
36 & 0.039093 & 0.3176 & 0.3759 \tabularnewline
37 & -0.135185 & -1.0982 & 0.138044 \tabularnewline
38 & -0.093802 & -0.7621 & 0.224371 \tabularnewline
39 & 0.014861 & 0.1207 & 0.452135 \tabularnewline
40 & 0.011037 & 0.0897 & 0.464411 \tabularnewline
41 & -0.083095 & -0.6751 & 0.250996 \tabularnewline
42 & 0.004788 & 0.0389 & 0.484545 \tabularnewline
43 & -0.03306 & -0.2686 & 0.394544 \tabularnewline
44 & -0.032144 & -0.2611 & 0.397399 \tabularnewline
45 & 0.016043 & 0.1303 & 0.448349 \tabularnewline
46 & 0.028335 & 0.2302 & 0.409325 \tabularnewline
47 & -0.163049 & -1.3246 & 0.094933 \tabularnewline
48 & 0.002656 & 0.0216 & 0.491426 \tabularnewline
49 & -0.028135 & -0.2286 & 0.409954 \tabularnewline
50 & 0.026389 & 0.2144 & 0.415454 \tabularnewline
51 & -0.074331 & -0.6039 & 0.274002 \tabularnewline
52 & -0.020143 & -0.1636 & 0.435256 \tabularnewline
53 & 0.026301 & 0.2137 & 0.415733 \tabularnewline
54 & -0.040792 & -0.3314 & 0.370698 \tabularnewline
55 & 0.047613 & 0.3868 & 0.350072 \tabularnewline
56 & 0.066485 & 0.5401 & 0.295463 \tabularnewline
57 & 0.020338 & 0.1652 & 0.434635 \tabularnewline
58 & -0.06304 & -0.5121 & 0.30513 \tabularnewline
59 & -0.053188 & -0.4321 & 0.333538 \tabularnewline
60 & -0.072958 & -0.5927 & 0.277699 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=31969&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]0.701568[/C][C]5.6996[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.268459[/C][C]-2.181[/C][C]0.016377[/C][/ROW]
[ROW][C]3[/C][C]-0.263658[/C][C]-2.142[/C][C]0.017945[/C][/ROW]
[ROW][C]4[/C][C]-0.538749[/C][C]-4.3768[/C][C]2.2e-05[/C][/ROW]
[ROW][C]5[/C][C]-0.350103[/C][C]-2.8442[/C][C]0.002961[/C][/ROW]
[ROW][C]6[/C][C]-0.229705[/C][C]-1.8661[/C][C]0.033234[/C][/ROW]
[ROW][C]7[/C][C]-0.317188[/C][C]-2.5769[/C][C]0.006107[/C][/ROW]
[ROW][C]8[/C][C]0.027852[/C][C]0.2263[/C][C]0.410845[/C][/ROW]
[ROW][C]9[/C][C]0.035511[/C][C]0.2885[/C][C]0.386935[/C][/ROW]
[ROW][C]10[/C][C]-0.209216[/C][C]-1.6997[/C][C]0.04695[/C][/ROW]
[ROW][C]11[/C][C]-0.078678[/C][C]-0.6392[/C][C]0.262457[/C][/ROW]
[ROW][C]12[/C][C]0.28161[/C][C]2.2878[/C][C]0.01268[/C][/ROW]
[ROW][C]13[/C][C]-0.217727[/C][C]-1.7688[/C][C]0.040772[/C][/ROW]
[ROW][C]14[/C][C]0.01769[/C][C]0.1437[/C][C]0.443081[/C][/ROW]
[ROW][C]15[/C][C]0.026568[/C][C]0.2158[/C][C]0.414889[/C][/ROW]
[ROW][C]16[/C][C]0.230331[/C][C]1.8712[/C][C]0.032874[/C][/ROW]
[ROW][C]17[/C][C]-0.038547[/C][C]-0.3132[/C][C]0.377576[/C][/ROW]
[ROW][C]18[/C][C]-0.029434[/C][C]-0.2391[/C][C]0.405875[/C][/ROW]
[ROW][C]19[/C][C]0.137457[/C][C]1.1167[/C][C]0.134085[/C][/ROW]
[ROW][C]20[/C][C]0.028851[/C][C]0.2344[/C][C]0.407707[/C][/ROW]
[ROW][C]21[/C][C]0.039493[/C][C]0.3208[/C][C]0.374672[/C][/ROW]
[ROW][C]22[/C][C]0.029151[/C][C]0.2368[/C][C]0.406763[/C][/ROW]
[ROW][C]23[/C][C]0.131024[/C][C]1.0644[/C][C]0.145503[/C][/ROW]
[ROW][C]24[/C][C]-0.112245[/C][C]-0.9119[/C][C]0.182574[/C][/ROW]
[ROW][C]25[/C][C]0.035095[/C][C]0.2851[/C][C]0.388225[/C][/ROW]
[ROW][C]26[/C][C]-0.041167[/C][C]-0.3344[/C][C]0.369554[/C][/ROW]
[ROW][C]27[/C][C]0.063437[/C][C]0.5154[/C][C]0.304009[/C][/ROW]
[ROW][C]28[/C][C]0.034729[/C][C]0.2821[/C][C]0.38936[/C][/ROW]
[ROW][C]29[/C][C]-0.046602[/C][C]-0.3786[/C][C]0.3531[/C][/ROW]
[ROW][C]30[/C][C]0.065357[/C][C]0.531[/C][C]0.298613[/C][/ROW]
[ROW][C]31[/C][C]-0.01415[/C][C]-0.115[/C][C]0.454414[/C][/ROW]
[ROW][C]32[/C][C]-0.059997[/C][C]-0.4874[/C][C]0.313789[/C][/ROW]
[ROW][C]33[/C][C]0.055994[/C][C]0.4549[/C][C]0.325339[/C][/ROW]
[ROW][C]34[/C][C]-0.028887[/C][C]-0.2347[/C][C]0.407593[/C][/ROW]
[ROW][C]35[/C][C]-0.06062[/C][C]-0.4925[/C][C]0.312008[/C][/ROW]
[ROW][C]36[/C][C]0.039093[/C][C]0.3176[/C][C]0.3759[/C][/ROW]
[ROW][C]37[/C][C]-0.135185[/C][C]-1.0982[/C][C]0.138044[/C][/ROW]
[ROW][C]38[/C][C]-0.093802[/C][C]-0.7621[/C][C]0.224371[/C][/ROW]
[ROW][C]39[/C][C]0.014861[/C][C]0.1207[/C][C]0.452135[/C][/ROW]
[ROW][C]40[/C][C]0.011037[/C][C]0.0897[/C][C]0.464411[/C][/ROW]
[ROW][C]41[/C][C]-0.083095[/C][C]-0.6751[/C][C]0.250996[/C][/ROW]
[ROW][C]42[/C][C]0.004788[/C][C]0.0389[/C][C]0.484545[/C][/ROW]
[ROW][C]43[/C][C]-0.03306[/C][C]-0.2686[/C][C]0.394544[/C][/ROW]
[ROW][C]44[/C][C]-0.032144[/C][C]-0.2611[/C][C]0.397399[/C][/ROW]
[ROW][C]45[/C][C]0.016043[/C][C]0.1303[/C][C]0.448349[/C][/ROW]
[ROW][C]46[/C][C]0.028335[/C][C]0.2302[/C][C]0.409325[/C][/ROW]
[ROW][C]47[/C][C]-0.163049[/C][C]-1.3246[/C][C]0.094933[/C][/ROW]
[ROW][C]48[/C][C]0.002656[/C][C]0.0216[/C][C]0.491426[/C][/ROW]
[ROW][C]49[/C][C]-0.028135[/C][C]-0.2286[/C][C]0.409954[/C][/ROW]
[ROW][C]50[/C][C]0.026389[/C][C]0.2144[/C][C]0.415454[/C][/ROW]
[ROW][C]51[/C][C]-0.074331[/C][C]-0.6039[/C][C]0.274002[/C][/ROW]
[ROW][C]52[/C][C]-0.020143[/C][C]-0.1636[/C][C]0.435256[/C][/ROW]
[ROW][C]53[/C][C]0.026301[/C][C]0.2137[/C][C]0.415733[/C][/ROW]
[ROW][C]54[/C][C]-0.040792[/C][C]-0.3314[/C][C]0.370698[/C][/ROW]
[ROW][C]55[/C][C]0.047613[/C][C]0.3868[/C][C]0.350072[/C][/ROW]
[ROW][C]56[/C][C]0.066485[/C][C]0.5401[/C][C]0.295463[/C][/ROW]
[ROW][C]57[/C][C]0.020338[/C][C]0.1652[/C][C]0.434635[/C][/ROW]
[ROW][C]58[/C][C]-0.06304[/C][C]-0.5121[/C][C]0.30513[/C][/ROW]
[ROW][C]59[/C][C]-0.053188[/C][C]-0.4321[/C][C]0.333538[/C][/ROW]
[ROW][C]60[/C][C]-0.072958[/C][C]-0.5927[/C][C]0.277699[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=31969&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31969&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
10.7015685.69960
2-0.268459-2.1810.016377
3-0.263658-2.1420.017945
4-0.538749-4.37682.2e-05
5-0.350103-2.84420.002961
6-0.229705-1.86610.033234
7-0.317188-2.57690.006107
80.0278520.22630.410845
90.0355110.28850.386935
10-0.209216-1.69970.04695
11-0.078678-0.63920.262457
120.281612.28780.01268
13-0.217727-1.76880.040772
140.017690.14370.443081
150.0265680.21580.414889
160.2303311.87120.032874
17-0.038547-0.31320.377576
18-0.029434-0.23910.405875
190.1374571.11670.134085
200.0288510.23440.407707
210.0394930.32080.374672
220.0291510.23680.406763
230.1310241.06440.145503
24-0.112245-0.91190.182574
250.0350950.28510.388225
26-0.041167-0.33440.369554
270.0634370.51540.304009
280.0347290.28210.38936
29-0.046602-0.37860.3531
300.0653570.5310.298613
31-0.01415-0.1150.454414
32-0.059997-0.48740.313789
330.0559940.45490.325339
34-0.028887-0.23470.407593
35-0.06062-0.49250.312008
360.0390930.31760.3759
37-0.135185-1.09820.138044
38-0.093802-0.76210.224371
390.0148610.12070.452135
400.0110370.08970.464411
41-0.083095-0.67510.250996
420.0047880.03890.484545
43-0.03306-0.26860.394544
44-0.032144-0.26110.397399
450.0160430.13030.448349
460.0283350.23020.409325
47-0.163049-1.32460.094933
480.0026560.02160.491426
49-0.028135-0.22860.409954
500.0263890.21440.415454
51-0.074331-0.60390.274002
52-0.020143-0.16360.435256
530.0263010.21370.415733
54-0.040792-0.33140.370698
550.0476130.38680.350072
560.0664850.54010.295463
570.0203380.16520.434635
58-0.06304-0.51210.30513
59-0.053188-0.43210.333538
60-0.072958-0.59270.277699



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')