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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 02:13:46 -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/t1229937361irum2gp7y0izeg6.htm/, Retrieved Mon, 13 May 2024 11:57:58 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=35950, Retrieved Mon, 13 May 2024 11:57:58 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact176
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Variance Reduction Matrix] [VRM Olie] [2008-12-19 13:50:37] [7458e879e85b911182071700fff19fbd]
- RMPD  [(Partial) Autocorrelation Function] [(Partial) Autocor...] [2008-12-20 23:17:29] [7458e879e85b911182071700fff19fbd]
-           [(Partial) Autocorrelation Function] [Autocorrelatie BE...] [2008-12-22 09:13:46] [7ed4ec9f8cdf7df79ef87b9dc09dff20] [Current]
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Dataseries X:
2196.72
2350.44
2440.25
2408.64
2472.81
2407.6
2454.62
2448.05
2497.84
2645.64
2756.76
2849.27
2921.44
2981.85
3080.58
3106.22
3119.31
3061.26
3097.31
3161.69
3257.16
3277.01
3295.32
3363.99
3494.17
3667.03
3813.06
3917.96
3895.51
3801.06
3570.12
3701.61
3862.27
3970.1
4138.52
4199.75
4290.89
4443.91
4502.64
4356.98
4591.27
4696.96
4621.4
4562.84
4202.52
4296.49
4435.23
4105.18
4116.68
3844.49
3720.98
3674.4
3857.62
3801.06
3504.37
3032.6
3047.03
2962.34
2197.82
2014.45




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=35950&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=35950&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35950&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
10.9151267.08850
20.8280726.41420
30.7751956.00460
40.7118495.5140
50.6396544.95473e-06
60.5734644.4421.9e-05
70.517834.01118.5e-05
80.4615183.57490.00035
90.3895353.01730.001869
100.318532.46730.008242
110.2541591.96870.026806
120.1909031.47870.072222
130.1275960.98840.163473
140.0831220.64390.261059
150.0256170.19840.421691
16-0.037916-0.29370.385003
17-0.086808-0.67240.251951
18-0.131328-1.01730.156557
19-0.162026-1.25510.107163
20-0.196008-1.51830.067099
21-0.234715-1.81810.037021
22-0.260058-2.01440.024228
23-0.280793-2.1750.016791
24-0.299885-2.32290.011797
25-0.312512-2.42070.009267
26-0.322828-2.50060.007573
27-0.33304-2.57970.006178
28-0.34151-2.64530.005202
29-0.359652-2.78580.003568
30-0.385332-2.98480.002051
31-0.407014-3.15270.001263
32-0.414959-3.21430.001053
33-0.411585-3.18810.001138
34-0.402052-3.11430.001413
35-0.386412-2.99310.002003
36-0.368772-2.85650.002939
37-0.351141-2.71990.004264
38-0.328609-2.54540.006752
39-0.300146-2.32490.011739
40-0.276143-2.1390.018258
41-0.243102-1.88310.032271
42-0.206444-1.59910.057525
43-0.172485-1.33610.093288
44-0.133269-1.03230.153038
45-0.10527-0.81540.209028
46-0.068806-0.5330.298013
47-0.025262-0.19570.422762
480.0073620.0570.477357
490.0422370.32720.372339
500.0677670.52490.300786
510.0847870.65680.256924
520.0935860.72490.235662
530.1088380.84310.201273
540.1238250.95910.170667
550.1284320.99480.161908
560.1173130.90870.183572
570.1062630.82310.206853
580.097520.75540.226486
590.0557820.43210.333615
60NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.915126 & 7.0885 & 0 \tabularnewline
2 & 0.828072 & 6.4142 & 0 \tabularnewline
3 & 0.775195 & 6.0046 & 0 \tabularnewline
4 & 0.711849 & 5.514 & 0 \tabularnewline
5 & 0.639654 & 4.9547 & 3e-06 \tabularnewline
6 & 0.573464 & 4.442 & 1.9e-05 \tabularnewline
7 & 0.51783 & 4.0111 & 8.5e-05 \tabularnewline
8 & 0.461518 & 3.5749 & 0.00035 \tabularnewline
9 & 0.389535 & 3.0173 & 0.001869 \tabularnewline
10 & 0.31853 & 2.4673 & 0.008242 \tabularnewline
11 & 0.254159 & 1.9687 & 0.026806 \tabularnewline
12 & 0.190903 & 1.4787 & 0.072222 \tabularnewline
13 & 0.127596 & 0.9884 & 0.163473 \tabularnewline
14 & 0.083122 & 0.6439 & 0.261059 \tabularnewline
15 & 0.025617 & 0.1984 & 0.421691 \tabularnewline
16 & -0.037916 & -0.2937 & 0.385003 \tabularnewline
17 & -0.086808 & -0.6724 & 0.251951 \tabularnewline
18 & -0.131328 & -1.0173 & 0.156557 \tabularnewline
19 & -0.162026 & -1.2551 & 0.107163 \tabularnewline
20 & -0.196008 & -1.5183 & 0.067099 \tabularnewline
21 & -0.234715 & -1.8181 & 0.037021 \tabularnewline
22 & -0.260058 & -2.0144 & 0.024228 \tabularnewline
23 & -0.280793 & -2.175 & 0.016791 \tabularnewline
24 & -0.299885 & -2.3229 & 0.011797 \tabularnewline
25 & -0.312512 & -2.4207 & 0.009267 \tabularnewline
26 & -0.322828 & -2.5006 & 0.007573 \tabularnewline
27 & -0.33304 & -2.5797 & 0.006178 \tabularnewline
28 & -0.34151 & -2.6453 & 0.005202 \tabularnewline
29 & -0.359652 & -2.7858 & 0.003568 \tabularnewline
30 & -0.385332 & -2.9848 & 0.002051 \tabularnewline
31 & -0.407014 & -3.1527 & 0.001263 \tabularnewline
32 & -0.414959 & -3.2143 & 0.001053 \tabularnewline
33 & -0.411585 & -3.1881 & 0.001138 \tabularnewline
34 & -0.402052 & -3.1143 & 0.001413 \tabularnewline
35 & -0.386412 & -2.9931 & 0.002003 \tabularnewline
36 & -0.368772 & -2.8565 & 0.002939 \tabularnewline
37 & -0.351141 & -2.7199 & 0.004264 \tabularnewline
38 & -0.328609 & -2.5454 & 0.006752 \tabularnewline
39 & -0.300146 & -2.3249 & 0.011739 \tabularnewline
40 & -0.276143 & -2.139 & 0.018258 \tabularnewline
41 & -0.243102 & -1.8831 & 0.032271 \tabularnewline
42 & -0.206444 & -1.5991 & 0.057525 \tabularnewline
43 & -0.172485 & -1.3361 & 0.093288 \tabularnewline
44 & -0.133269 & -1.0323 & 0.153038 \tabularnewline
45 & -0.10527 & -0.8154 & 0.209028 \tabularnewline
46 & -0.068806 & -0.533 & 0.298013 \tabularnewline
47 & -0.025262 & -0.1957 & 0.422762 \tabularnewline
48 & 0.007362 & 0.057 & 0.477357 \tabularnewline
49 & 0.042237 & 0.3272 & 0.372339 \tabularnewline
50 & 0.067767 & 0.5249 & 0.300786 \tabularnewline
51 & 0.084787 & 0.6568 & 0.256924 \tabularnewline
52 & 0.093586 & 0.7249 & 0.235662 \tabularnewline
53 & 0.108838 & 0.8431 & 0.201273 \tabularnewline
54 & 0.123825 & 0.9591 & 0.170667 \tabularnewline
55 & 0.128432 & 0.9948 & 0.161908 \tabularnewline
56 & 0.117313 & 0.9087 & 0.183572 \tabularnewline
57 & 0.106263 & 0.8231 & 0.206853 \tabularnewline
58 & 0.09752 & 0.7554 & 0.226486 \tabularnewline
59 & 0.055782 & 0.4321 & 0.333615 \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35950&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]0.915126[/C][C]7.0885[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.828072[/C][C]6.4142[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.775195[/C][C]6.0046[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.711849[/C][C]5.514[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.639654[/C][C]4.9547[/C][C]3e-06[/C][/ROW]
[ROW][C]6[/C][C]0.573464[/C][C]4.442[/C][C]1.9e-05[/C][/ROW]
[ROW][C]7[/C][C]0.51783[/C][C]4.0111[/C][C]8.5e-05[/C][/ROW]
[ROW][C]8[/C][C]0.461518[/C][C]3.5749[/C][C]0.00035[/C][/ROW]
[ROW][C]9[/C][C]0.389535[/C][C]3.0173[/C][C]0.001869[/C][/ROW]
[ROW][C]10[/C][C]0.31853[/C][C]2.4673[/C][C]0.008242[/C][/ROW]
[ROW][C]11[/C][C]0.254159[/C][C]1.9687[/C][C]0.026806[/C][/ROW]
[ROW][C]12[/C][C]0.190903[/C][C]1.4787[/C][C]0.072222[/C][/ROW]
[ROW][C]13[/C][C]0.127596[/C][C]0.9884[/C][C]0.163473[/C][/ROW]
[ROW][C]14[/C][C]0.083122[/C][C]0.6439[/C][C]0.261059[/C][/ROW]
[ROW][C]15[/C][C]0.025617[/C][C]0.1984[/C][C]0.421691[/C][/ROW]
[ROW][C]16[/C][C]-0.037916[/C][C]-0.2937[/C][C]0.385003[/C][/ROW]
[ROW][C]17[/C][C]-0.086808[/C][C]-0.6724[/C][C]0.251951[/C][/ROW]
[ROW][C]18[/C][C]-0.131328[/C][C]-1.0173[/C][C]0.156557[/C][/ROW]
[ROW][C]19[/C][C]-0.162026[/C][C]-1.2551[/C][C]0.107163[/C][/ROW]
[ROW][C]20[/C][C]-0.196008[/C][C]-1.5183[/C][C]0.067099[/C][/ROW]
[ROW][C]21[/C][C]-0.234715[/C][C]-1.8181[/C][C]0.037021[/C][/ROW]
[ROW][C]22[/C][C]-0.260058[/C][C]-2.0144[/C][C]0.024228[/C][/ROW]
[ROW][C]23[/C][C]-0.280793[/C][C]-2.175[/C][C]0.016791[/C][/ROW]
[ROW][C]24[/C][C]-0.299885[/C][C]-2.3229[/C][C]0.011797[/C][/ROW]
[ROW][C]25[/C][C]-0.312512[/C][C]-2.4207[/C][C]0.009267[/C][/ROW]
[ROW][C]26[/C][C]-0.322828[/C][C]-2.5006[/C][C]0.007573[/C][/ROW]
[ROW][C]27[/C][C]-0.33304[/C][C]-2.5797[/C][C]0.006178[/C][/ROW]
[ROW][C]28[/C][C]-0.34151[/C][C]-2.6453[/C][C]0.005202[/C][/ROW]
[ROW][C]29[/C][C]-0.359652[/C][C]-2.7858[/C][C]0.003568[/C][/ROW]
[ROW][C]30[/C][C]-0.385332[/C][C]-2.9848[/C][C]0.002051[/C][/ROW]
[ROW][C]31[/C][C]-0.407014[/C][C]-3.1527[/C][C]0.001263[/C][/ROW]
[ROW][C]32[/C][C]-0.414959[/C][C]-3.2143[/C][C]0.001053[/C][/ROW]
[ROW][C]33[/C][C]-0.411585[/C][C]-3.1881[/C][C]0.001138[/C][/ROW]
[ROW][C]34[/C][C]-0.402052[/C][C]-3.1143[/C][C]0.001413[/C][/ROW]
[ROW][C]35[/C][C]-0.386412[/C][C]-2.9931[/C][C]0.002003[/C][/ROW]
[ROW][C]36[/C][C]-0.368772[/C][C]-2.8565[/C][C]0.002939[/C][/ROW]
[ROW][C]37[/C][C]-0.351141[/C][C]-2.7199[/C][C]0.004264[/C][/ROW]
[ROW][C]38[/C][C]-0.328609[/C][C]-2.5454[/C][C]0.006752[/C][/ROW]
[ROW][C]39[/C][C]-0.300146[/C][C]-2.3249[/C][C]0.011739[/C][/ROW]
[ROW][C]40[/C][C]-0.276143[/C][C]-2.139[/C][C]0.018258[/C][/ROW]
[ROW][C]41[/C][C]-0.243102[/C][C]-1.8831[/C][C]0.032271[/C][/ROW]
[ROW][C]42[/C][C]-0.206444[/C][C]-1.5991[/C][C]0.057525[/C][/ROW]
[ROW][C]43[/C][C]-0.172485[/C][C]-1.3361[/C][C]0.093288[/C][/ROW]
[ROW][C]44[/C][C]-0.133269[/C][C]-1.0323[/C][C]0.153038[/C][/ROW]
[ROW][C]45[/C][C]-0.10527[/C][C]-0.8154[/C][C]0.209028[/C][/ROW]
[ROW][C]46[/C][C]-0.068806[/C][C]-0.533[/C][C]0.298013[/C][/ROW]
[ROW][C]47[/C][C]-0.025262[/C][C]-0.1957[/C][C]0.422762[/C][/ROW]
[ROW][C]48[/C][C]0.007362[/C][C]0.057[/C][C]0.477357[/C][/ROW]
[ROW][C]49[/C][C]0.042237[/C][C]0.3272[/C][C]0.372339[/C][/ROW]
[ROW][C]50[/C][C]0.067767[/C][C]0.5249[/C][C]0.300786[/C][/ROW]
[ROW][C]51[/C][C]0.084787[/C][C]0.6568[/C][C]0.256924[/C][/ROW]
[ROW][C]52[/C][C]0.093586[/C][C]0.7249[/C][C]0.235662[/C][/ROW]
[ROW][C]53[/C][C]0.108838[/C][C]0.8431[/C][C]0.201273[/C][/ROW]
[ROW][C]54[/C][C]0.123825[/C][C]0.9591[/C][C]0.170667[/C][/ROW]
[ROW][C]55[/C][C]0.128432[/C][C]0.9948[/C][C]0.161908[/C][/ROW]
[ROW][C]56[/C][C]0.117313[/C][C]0.9087[/C][C]0.183572[/C][/ROW]
[ROW][C]57[/C][C]0.106263[/C][C]0.8231[/C][C]0.206853[/C][/ROW]
[ROW][C]58[/C][C]0.09752[/C][C]0.7554[/C][C]0.226486[/C][/ROW]
[ROW][C]59[/C][C]0.055782[/C][C]0.4321[/C][C]0.333615[/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=35950&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35950&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
10.9151267.08850
20.8280726.41420
30.7751956.00460
40.7118495.5140
50.6396544.95473e-06
60.5734644.4421.9e-05
70.517834.01118.5e-05
80.4615183.57490.00035
90.3895353.01730.001869
100.318532.46730.008242
110.2541591.96870.026806
120.1909031.47870.072222
130.1275960.98840.163473
140.0831220.64390.261059
150.0256170.19840.421691
16-0.037916-0.29370.385003
17-0.086808-0.67240.251951
18-0.131328-1.01730.156557
19-0.162026-1.25510.107163
20-0.196008-1.51830.067099
21-0.234715-1.81810.037021
22-0.260058-2.01440.024228
23-0.280793-2.1750.016791
24-0.299885-2.32290.011797
25-0.312512-2.42070.009267
26-0.322828-2.50060.007573
27-0.33304-2.57970.006178
28-0.34151-2.64530.005202
29-0.359652-2.78580.003568
30-0.385332-2.98480.002051
31-0.407014-3.15270.001263
32-0.414959-3.21430.001053
33-0.411585-3.18810.001138
34-0.402052-3.11430.001413
35-0.386412-2.99310.002003
36-0.368772-2.85650.002939
37-0.351141-2.71990.004264
38-0.328609-2.54540.006752
39-0.300146-2.32490.011739
40-0.276143-2.1390.018258
41-0.243102-1.88310.032271
42-0.206444-1.59910.057525
43-0.172485-1.33610.093288
44-0.133269-1.03230.153038
45-0.10527-0.81540.209028
46-0.068806-0.5330.298013
47-0.025262-0.19570.422762
480.0073620.0570.477357
490.0422370.32720.372339
500.0677670.52490.300786
510.0847870.65680.256924
520.0935860.72490.235662
530.1088380.84310.201273
540.1238250.95910.170667
550.1284320.99480.161908
560.1173130.90870.183572
570.1062630.82310.206853
580.097520.75540.226486
590.0557820.43210.333615
60NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9151267.08850
2-0.057728-0.44720.328186
30.1634961.26640.105126
4-0.105211-0.8150.209158
5-0.048481-0.37550.354293
6-0.029967-0.23210.408615
70.0154850.11990.452463
8-0.032648-0.25290.400608
9-0.119151-0.92290.179868
10-0.0465-0.36020.359986
11-0.047282-0.36620.357735
12-0.031332-0.24270.404533
13-0.039622-0.30690.379987
140.0656560.50860.30646
15-0.147862-1.14530.128309
16-0.045955-0.3560.361558
17-0.006611-0.05120.479665
18-0.03069-0.23770.406452
190.0721880.55920.289066
20-0.074561-0.57750.282866
21-0.054658-0.42340.336767
22-0.00888-0.06880.472695
23-0.009889-0.07660.469599
240.0049590.03840.484744
25-0.001026-0.00790.496844
26-0.039658-0.30720.379881
27-0.038667-0.29950.382791
28-0.041562-0.32190.374309
29-0.098615-0.76390.223969
30-0.079302-0.61430.27068
31-0.073459-0.5690.285737
320.0321420.2490.402116
330.0057690.04470.482253
340.0199860.15480.438745
350.0400520.31020.378725
36-0.027791-0.21530.415144
37-0.000791-0.00610.497567
380.0205130.15890.437144
390.0186180.14420.442908
40-0.035066-0.27160.393425
410.0556670.43120.333936
42-0.026488-0.20520.419066
430.0084250.06530.474092
440.0452570.35060.363574
45-0.075314-0.58340.280913
460.0720190.55790.289509
47-0.007711-0.05970.476285
48-0.021307-0.1650.434731
490.0310260.24030.40545
50-0.071527-0.5540.290802
51-0.026067-0.20190.420335
52-0.082191-0.63670.263387
530.0432490.3350.369395
54-0.00775-0.060.476166
55-0.036274-0.2810.389848
56-0.107039-0.82910.205161
570.0032520.02520.489993
58-0.046749-0.36210.359268
59-0.186111-1.44160.077306
60NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.915126 & 7.0885 & 0 \tabularnewline
2 & -0.057728 & -0.4472 & 0.328186 \tabularnewline
3 & 0.163496 & 1.2664 & 0.105126 \tabularnewline
4 & -0.105211 & -0.815 & 0.209158 \tabularnewline
5 & -0.048481 & -0.3755 & 0.354293 \tabularnewline
6 & -0.029967 & -0.2321 & 0.408615 \tabularnewline
7 & 0.015485 & 0.1199 & 0.452463 \tabularnewline
8 & -0.032648 & -0.2529 & 0.400608 \tabularnewline
9 & -0.119151 & -0.9229 & 0.179868 \tabularnewline
10 & -0.0465 & -0.3602 & 0.359986 \tabularnewline
11 & -0.047282 & -0.3662 & 0.357735 \tabularnewline
12 & -0.031332 & -0.2427 & 0.404533 \tabularnewline
13 & -0.039622 & -0.3069 & 0.379987 \tabularnewline
14 & 0.065656 & 0.5086 & 0.30646 \tabularnewline
15 & -0.147862 & -1.1453 & 0.128309 \tabularnewline
16 & -0.045955 & -0.356 & 0.361558 \tabularnewline
17 & -0.006611 & -0.0512 & 0.479665 \tabularnewline
18 & -0.03069 & -0.2377 & 0.406452 \tabularnewline
19 & 0.072188 & 0.5592 & 0.289066 \tabularnewline
20 & -0.074561 & -0.5775 & 0.282866 \tabularnewline
21 & -0.054658 & -0.4234 & 0.336767 \tabularnewline
22 & -0.00888 & -0.0688 & 0.472695 \tabularnewline
23 & -0.009889 & -0.0766 & 0.469599 \tabularnewline
24 & 0.004959 & 0.0384 & 0.484744 \tabularnewline
25 & -0.001026 & -0.0079 & 0.496844 \tabularnewline
26 & -0.039658 & -0.3072 & 0.379881 \tabularnewline
27 & -0.038667 & -0.2995 & 0.382791 \tabularnewline
28 & -0.041562 & -0.3219 & 0.374309 \tabularnewline
29 & -0.098615 & -0.7639 & 0.223969 \tabularnewline
30 & -0.079302 & -0.6143 & 0.27068 \tabularnewline
31 & -0.073459 & -0.569 & 0.285737 \tabularnewline
32 & 0.032142 & 0.249 & 0.402116 \tabularnewline
33 & 0.005769 & 0.0447 & 0.482253 \tabularnewline
34 & 0.019986 & 0.1548 & 0.438745 \tabularnewline
35 & 0.040052 & 0.3102 & 0.378725 \tabularnewline
36 & -0.027791 & -0.2153 & 0.415144 \tabularnewline
37 & -0.000791 & -0.0061 & 0.497567 \tabularnewline
38 & 0.020513 & 0.1589 & 0.437144 \tabularnewline
39 & 0.018618 & 0.1442 & 0.442908 \tabularnewline
40 & -0.035066 & -0.2716 & 0.393425 \tabularnewline
41 & 0.055667 & 0.4312 & 0.333936 \tabularnewline
42 & -0.026488 & -0.2052 & 0.419066 \tabularnewline
43 & 0.008425 & 0.0653 & 0.474092 \tabularnewline
44 & 0.045257 & 0.3506 & 0.363574 \tabularnewline
45 & -0.075314 & -0.5834 & 0.280913 \tabularnewline
46 & 0.072019 & 0.5579 & 0.289509 \tabularnewline
47 & -0.007711 & -0.0597 & 0.476285 \tabularnewline
48 & -0.021307 & -0.165 & 0.434731 \tabularnewline
49 & 0.031026 & 0.2403 & 0.40545 \tabularnewline
50 & -0.071527 & -0.554 & 0.290802 \tabularnewline
51 & -0.026067 & -0.2019 & 0.420335 \tabularnewline
52 & -0.082191 & -0.6367 & 0.263387 \tabularnewline
53 & 0.043249 & 0.335 & 0.369395 \tabularnewline
54 & -0.00775 & -0.06 & 0.476166 \tabularnewline
55 & -0.036274 & -0.281 & 0.389848 \tabularnewline
56 & -0.107039 & -0.8291 & 0.205161 \tabularnewline
57 & 0.003252 & 0.0252 & 0.489993 \tabularnewline
58 & -0.046749 & -0.3621 & 0.359268 \tabularnewline
59 & -0.186111 & -1.4416 & 0.077306 \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35950&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]0.915126[/C][C]7.0885[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.057728[/C][C]-0.4472[/C][C]0.328186[/C][/ROW]
[ROW][C]3[/C][C]0.163496[/C][C]1.2664[/C][C]0.105126[/C][/ROW]
[ROW][C]4[/C][C]-0.105211[/C][C]-0.815[/C][C]0.209158[/C][/ROW]
[ROW][C]5[/C][C]-0.048481[/C][C]-0.3755[/C][C]0.354293[/C][/ROW]
[ROW][C]6[/C][C]-0.029967[/C][C]-0.2321[/C][C]0.408615[/C][/ROW]
[ROW][C]7[/C][C]0.015485[/C][C]0.1199[/C][C]0.452463[/C][/ROW]
[ROW][C]8[/C][C]-0.032648[/C][C]-0.2529[/C][C]0.400608[/C][/ROW]
[ROW][C]9[/C][C]-0.119151[/C][C]-0.9229[/C][C]0.179868[/C][/ROW]
[ROW][C]10[/C][C]-0.0465[/C][C]-0.3602[/C][C]0.359986[/C][/ROW]
[ROW][C]11[/C][C]-0.047282[/C][C]-0.3662[/C][C]0.357735[/C][/ROW]
[ROW][C]12[/C][C]-0.031332[/C][C]-0.2427[/C][C]0.404533[/C][/ROW]
[ROW][C]13[/C][C]-0.039622[/C][C]-0.3069[/C][C]0.379987[/C][/ROW]
[ROW][C]14[/C][C]0.065656[/C][C]0.5086[/C][C]0.30646[/C][/ROW]
[ROW][C]15[/C][C]-0.147862[/C][C]-1.1453[/C][C]0.128309[/C][/ROW]
[ROW][C]16[/C][C]-0.045955[/C][C]-0.356[/C][C]0.361558[/C][/ROW]
[ROW][C]17[/C][C]-0.006611[/C][C]-0.0512[/C][C]0.479665[/C][/ROW]
[ROW][C]18[/C][C]-0.03069[/C][C]-0.2377[/C][C]0.406452[/C][/ROW]
[ROW][C]19[/C][C]0.072188[/C][C]0.5592[/C][C]0.289066[/C][/ROW]
[ROW][C]20[/C][C]-0.074561[/C][C]-0.5775[/C][C]0.282866[/C][/ROW]
[ROW][C]21[/C][C]-0.054658[/C][C]-0.4234[/C][C]0.336767[/C][/ROW]
[ROW][C]22[/C][C]-0.00888[/C][C]-0.0688[/C][C]0.472695[/C][/ROW]
[ROW][C]23[/C][C]-0.009889[/C][C]-0.0766[/C][C]0.469599[/C][/ROW]
[ROW][C]24[/C][C]0.004959[/C][C]0.0384[/C][C]0.484744[/C][/ROW]
[ROW][C]25[/C][C]-0.001026[/C][C]-0.0079[/C][C]0.496844[/C][/ROW]
[ROW][C]26[/C][C]-0.039658[/C][C]-0.3072[/C][C]0.379881[/C][/ROW]
[ROW][C]27[/C][C]-0.038667[/C][C]-0.2995[/C][C]0.382791[/C][/ROW]
[ROW][C]28[/C][C]-0.041562[/C][C]-0.3219[/C][C]0.374309[/C][/ROW]
[ROW][C]29[/C][C]-0.098615[/C][C]-0.7639[/C][C]0.223969[/C][/ROW]
[ROW][C]30[/C][C]-0.079302[/C][C]-0.6143[/C][C]0.27068[/C][/ROW]
[ROW][C]31[/C][C]-0.073459[/C][C]-0.569[/C][C]0.285737[/C][/ROW]
[ROW][C]32[/C][C]0.032142[/C][C]0.249[/C][C]0.402116[/C][/ROW]
[ROW][C]33[/C][C]0.005769[/C][C]0.0447[/C][C]0.482253[/C][/ROW]
[ROW][C]34[/C][C]0.019986[/C][C]0.1548[/C][C]0.438745[/C][/ROW]
[ROW][C]35[/C][C]0.040052[/C][C]0.3102[/C][C]0.378725[/C][/ROW]
[ROW][C]36[/C][C]-0.027791[/C][C]-0.2153[/C][C]0.415144[/C][/ROW]
[ROW][C]37[/C][C]-0.000791[/C][C]-0.0061[/C][C]0.497567[/C][/ROW]
[ROW][C]38[/C][C]0.020513[/C][C]0.1589[/C][C]0.437144[/C][/ROW]
[ROW][C]39[/C][C]0.018618[/C][C]0.1442[/C][C]0.442908[/C][/ROW]
[ROW][C]40[/C][C]-0.035066[/C][C]-0.2716[/C][C]0.393425[/C][/ROW]
[ROW][C]41[/C][C]0.055667[/C][C]0.4312[/C][C]0.333936[/C][/ROW]
[ROW][C]42[/C][C]-0.026488[/C][C]-0.2052[/C][C]0.419066[/C][/ROW]
[ROW][C]43[/C][C]0.008425[/C][C]0.0653[/C][C]0.474092[/C][/ROW]
[ROW][C]44[/C][C]0.045257[/C][C]0.3506[/C][C]0.363574[/C][/ROW]
[ROW][C]45[/C][C]-0.075314[/C][C]-0.5834[/C][C]0.280913[/C][/ROW]
[ROW][C]46[/C][C]0.072019[/C][C]0.5579[/C][C]0.289509[/C][/ROW]
[ROW][C]47[/C][C]-0.007711[/C][C]-0.0597[/C][C]0.476285[/C][/ROW]
[ROW][C]48[/C][C]-0.021307[/C][C]-0.165[/C][C]0.434731[/C][/ROW]
[ROW][C]49[/C][C]0.031026[/C][C]0.2403[/C][C]0.40545[/C][/ROW]
[ROW][C]50[/C][C]-0.071527[/C][C]-0.554[/C][C]0.290802[/C][/ROW]
[ROW][C]51[/C][C]-0.026067[/C][C]-0.2019[/C][C]0.420335[/C][/ROW]
[ROW][C]52[/C][C]-0.082191[/C][C]-0.6367[/C][C]0.263387[/C][/ROW]
[ROW][C]53[/C][C]0.043249[/C][C]0.335[/C][C]0.369395[/C][/ROW]
[ROW][C]54[/C][C]-0.00775[/C][C]-0.06[/C][C]0.476166[/C][/ROW]
[ROW][C]55[/C][C]-0.036274[/C][C]-0.281[/C][C]0.389848[/C][/ROW]
[ROW][C]56[/C][C]-0.107039[/C][C]-0.8291[/C][C]0.205161[/C][/ROW]
[ROW][C]57[/C][C]0.003252[/C][C]0.0252[/C][C]0.489993[/C][/ROW]
[ROW][C]58[/C][C]-0.046749[/C][C]-0.3621[/C][C]0.359268[/C][/ROW]
[ROW][C]59[/C][C]-0.186111[/C][C]-1.4416[/C][C]0.077306[/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=35950&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35950&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
10.9151267.08850
2-0.057728-0.44720.328186
30.1634961.26640.105126
4-0.105211-0.8150.209158
5-0.048481-0.37550.354293
6-0.029967-0.23210.408615
70.0154850.11990.452463
8-0.032648-0.25290.400608
9-0.119151-0.92290.179868
10-0.0465-0.36020.359986
11-0.047282-0.36620.357735
12-0.031332-0.24270.404533
13-0.039622-0.30690.379987
140.0656560.50860.30646
15-0.147862-1.14530.128309
16-0.045955-0.3560.361558
17-0.006611-0.05120.479665
18-0.03069-0.23770.406452
190.0721880.55920.289066
20-0.074561-0.57750.282866
21-0.054658-0.42340.336767
22-0.00888-0.06880.472695
23-0.009889-0.07660.469599
240.0049590.03840.484744
25-0.001026-0.00790.496844
26-0.039658-0.30720.379881
27-0.038667-0.29950.382791
28-0.041562-0.32190.374309
29-0.098615-0.76390.223969
30-0.079302-0.61430.27068
31-0.073459-0.5690.285737
320.0321420.2490.402116
330.0057690.04470.482253
340.0199860.15480.438745
350.0400520.31020.378725
36-0.027791-0.21530.415144
37-0.000791-0.00610.497567
380.0205130.15890.437144
390.0186180.14420.442908
40-0.035066-0.27160.393425
410.0556670.43120.333936
42-0.026488-0.20520.419066
430.0084250.06530.474092
440.0452570.35060.363574
45-0.075314-0.58340.280913
460.0720190.55790.289509
47-0.007711-0.05970.476285
48-0.021307-0.1650.434731
490.0310260.24030.40545
50-0.071527-0.5540.290802
51-0.026067-0.20190.420335
52-0.082191-0.63670.263387
530.0432490.3350.369395
54-0.00775-0.060.476166
55-0.036274-0.2810.389848
56-0.107039-0.82910.205161
570.0032520.02520.489993
58-0.046749-0.36210.359268
59-0.186111-1.44160.077306
60NANANA



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')