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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, 17 Dec 2007 11:59:17 -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/17/t1197916963f1lyum3xfcezjcd.htm/, Retrieved Fri, 03 May 2024 22:41:43 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=4408, Retrieved Fri, 03 May 2024 22:41:43 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsLPG lag 60
Estimated Impact154
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Paper XVI AcorF l...] [2007-12-17 18:59:17] [fd802f308f037a9692de8c23f8b60e49] [Current]
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Dataseries X:
0.4
0.37
0.36
0.36
0.36
0.36
0.32
0.31
0.32
0.33
0.33
0.29
0.33
0.32
0.31
0.33
0.32
0.32
0.3
0.3
0.33
0.35
0.35
0.37
0.38
0.39
0.4
0.32
0.29
0.29
0.3
0.3
0.32
0.32
0.34
0.34
0.34
0.33
0.33
0.33
0.34
0.35
0.34
0.36
0.39
0.43
0.42
0.39
0.37
0.36
0.39
0.39
0.37
0.36
0.38
0.38
0.44
0.49
0.47
0.48




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4408&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4408&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4408&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
017.68110
10.0704850.54140.295134
2-0.103707-0.79660.785558
3-0.076146-0.58490.719573
4-0.116022-0.89120.811775
50.0629560.48360.315238
6-0.151161-1.16110.874859
7-0.171366-1.31630.903416
8-0.06623-0.50870.693577
90.0533760.410.341649
100.1094090.84040.202043
110.1791781.37630.086967
120.0635080.48780.313745
130.0031930.02450.490259
14-0.046872-0.360.639945
15-0.138502-1.06390.854134
16-0.035811-0.27510.607888
17-0.028088-0.21570.585036
18-0.091618-0.70370.757815
19-0.078803-0.60530.726348
200.1559441.19780.117887
210.1458591.12040.133549
220.1093430.83990.202184
23-0.074108-0.56920.714322
240.0945780.72650.235213
250.0837630.64340.261231
260.0344480.26460.396121
27-0.085363-0.65570.742712
28-0.104451-0.80230.787201
29-0.128407-0.98630.835997
30-0.026041-0.20.578925
310.0767250.58930.278943
32-0.056061-0.43060.665839
330.0076560.05880.476652
34-0.030992-0.23810.593667
350.0488920.37550.3543
360.098960.76010.225103
37-0.01483-0.11390.545153
38-0.052324-0.40190.655399
39-0.101563-0.78010.780781
40-0.040611-0.31190.621908
410.0726510.5580.289462
420.071010.54540.293753
43-0.099946-0.76770.777135
440.0071860.05520.478083
45-0.006832-0.05250.520837
46-0.004008-0.03080.512229
470.0611850.470.320054
48-0.005342-0.0410.516295
49-0.030269-0.23250.591524
50-0.064519-0.49560.688983
51-0.011974-0.0920.536484
520.0127520.09790.461153
53-0.019528-0.150.559362
54-0.012255-0.09410.537337
55-0.037728-0.28980.613506
56-0.014826-0.11390.54514
570.0060840.04670.481441
58-0.002839-0.02180.508662
59NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 7.6811 & 0 \tabularnewline
1 & 0.070485 & 0.5414 & 0.295134 \tabularnewline
2 & -0.103707 & -0.7966 & 0.785558 \tabularnewline
3 & -0.076146 & -0.5849 & 0.719573 \tabularnewline
4 & -0.116022 & -0.8912 & 0.811775 \tabularnewline
5 & 0.062956 & 0.4836 & 0.315238 \tabularnewline
6 & -0.151161 & -1.1611 & 0.874859 \tabularnewline
7 & -0.171366 & -1.3163 & 0.903416 \tabularnewline
8 & -0.06623 & -0.5087 & 0.693577 \tabularnewline
9 & 0.053376 & 0.41 & 0.341649 \tabularnewline
10 & 0.109409 & 0.8404 & 0.202043 \tabularnewline
11 & 0.179178 & 1.3763 & 0.086967 \tabularnewline
12 & 0.063508 & 0.4878 & 0.313745 \tabularnewline
13 & 0.003193 & 0.0245 & 0.490259 \tabularnewline
14 & -0.046872 & -0.36 & 0.639945 \tabularnewline
15 & -0.138502 & -1.0639 & 0.854134 \tabularnewline
16 & -0.035811 & -0.2751 & 0.607888 \tabularnewline
17 & -0.028088 & -0.2157 & 0.585036 \tabularnewline
18 & -0.091618 & -0.7037 & 0.757815 \tabularnewline
19 & -0.078803 & -0.6053 & 0.726348 \tabularnewline
20 & 0.155944 & 1.1978 & 0.117887 \tabularnewline
21 & 0.145859 & 1.1204 & 0.133549 \tabularnewline
22 & 0.109343 & 0.8399 & 0.202184 \tabularnewline
23 & -0.074108 & -0.5692 & 0.714322 \tabularnewline
24 & 0.094578 & 0.7265 & 0.235213 \tabularnewline
25 & 0.083763 & 0.6434 & 0.261231 \tabularnewline
26 & 0.034448 & 0.2646 & 0.396121 \tabularnewline
27 & -0.085363 & -0.6557 & 0.742712 \tabularnewline
28 & -0.104451 & -0.8023 & 0.787201 \tabularnewline
29 & -0.128407 & -0.9863 & 0.835997 \tabularnewline
30 & -0.026041 & -0.2 & 0.578925 \tabularnewline
31 & 0.076725 & 0.5893 & 0.278943 \tabularnewline
32 & -0.056061 & -0.4306 & 0.665839 \tabularnewline
33 & 0.007656 & 0.0588 & 0.476652 \tabularnewline
34 & -0.030992 & -0.2381 & 0.593667 \tabularnewline
35 & 0.048892 & 0.3755 & 0.3543 \tabularnewline
36 & 0.09896 & 0.7601 & 0.225103 \tabularnewline
37 & -0.01483 & -0.1139 & 0.545153 \tabularnewline
38 & -0.052324 & -0.4019 & 0.655399 \tabularnewline
39 & -0.101563 & -0.7801 & 0.780781 \tabularnewline
40 & -0.040611 & -0.3119 & 0.621908 \tabularnewline
41 & 0.072651 & 0.558 & 0.289462 \tabularnewline
42 & 0.07101 & 0.5454 & 0.293753 \tabularnewline
43 & -0.099946 & -0.7677 & 0.777135 \tabularnewline
44 & 0.007186 & 0.0552 & 0.478083 \tabularnewline
45 & -0.006832 & -0.0525 & 0.520837 \tabularnewline
46 & -0.004008 & -0.0308 & 0.512229 \tabularnewline
47 & 0.061185 & 0.47 & 0.320054 \tabularnewline
48 & -0.005342 & -0.041 & 0.516295 \tabularnewline
49 & -0.030269 & -0.2325 & 0.591524 \tabularnewline
50 & -0.064519 & -0.4956 & 0.688983 \tabularnewline
51 & -0.011974 & -0.092 & 0.536484 \tabularnewline
52 & 0.012752 & 0.0979 & 0.461153 \tabularnewline
53 & -0.019528 & -0.15 & 0.559362 \tabularnewline
54 & -0.012255 & -0.0941 & 0.537337 \tabularnewline
55 & -0.037728 & -0.2898 & 0.613506 \tabularnewline
56 & -0.014826 & -0.1139 & 0.54514 \tabularnewline
57 & 0.006084 & 0.0467 & 0.481441 \tabularnewline
58 & -0.002839 & -0.0218 & 0.508662 \tabularnewline
59 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4408&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]7.6811[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.070485[/C][C]0.5414[/C][C]0.295134[/C][/ROW]
[ROW][C]2[/C][C]-0.103707[/C][C]-0.7966[/C][C]0.785558[/C][/ROW]
[ROW][C]3[/C][C]-0.076146[/C][C]-0.5849[/C][C]0.719573[/C][/ROW]
[ROW][C]4[/C][C]-0.116022[/C][C]-0.8912[/C][C]0.811775[/C][/ROW]
[ROW][C]5[/C][C]0.062956[/C][C]0.4836[/C][C]0.315238[/C][/ROW]
[ROW][C]6[/C][C]-0.151161[/C][C]-1.1611[/C][C]0.874859[/C][/ROW]
[ROW][C]7[/C][C]-0.171366[/C][C]-1.3163[/C][C]0.903416[/C][/ROW]
[ROW][C]8[/C][C]-0.06623[/C][C]-0.5087[/C][C]0.693577[/C][/ROW]
[ROW][C]9[/C][C]0.053376[/C][C]0.41[/C][C]0.341649[/C][/ROW]
[ROW][C]10[/C][C]0.109409[/C][C]0.8404[/C][C]0.202043[/C][/ROW]
[ROW][C]11[/C][C]0.179178[/C][C]1.3763[/C][C]0.086967[/C][/ROW]
[ROW][C]12[/C][C]0.063508[/C][C]0.4878[/C][C]0.313745[/C][/ROW]
[ROW][C]13[/C][C]0.003193[/C][C]0.0245[/C][C]0.490259[/C][/ROW]
[ROW][C]14[/C][C]-0.046872[/C][C]-0.36[/C][C]0.639945[/C][/ROW]
[ROW][C]15[/C][C]-0.138502[/C][C]-1.0639[/C][C]0.854134[/C][/ROW]
[ROW][C]16[/C][C]-0.035811[/C][C]-0.2751[/C][C]0.607888[/C][/ROW]
[ROW][C]17[/C][C]-0.028088[/C][C]-0.2157[/C][C]0.585036[/C][/ROW]
[ROW][C]18[/C][C]-0.091618[/C][C]-0.7037[/C][C]0.757815[/C][/ROW]
[ROW][C]19[/C][C]-0.078803[/C][C]-0.6053[/C][C]0.726348[/C][/ROW]
[ROW][C]20[/C][C]0.155944[/C][C]1.1978[/C][C]0.117887[/C][/ROW]
[ROW][C]21[/C][C]0.145859[/C][C]1.1204[/C][C]0.133549[/C][/ROW]
[ROW][C]22[/C][C]0.109343[/C][C]0.8399[/C][C]0.202184[/C][/ROW]
[ROW][C]23[/C][C]-0.074108[/C][C]-0.5692[/C][C]0.714322[/C][/ROW]
[ROW][C]24[/C][C]0.094578[/C][C]0.7265[/C][C]0.235213[/C][/ROW]
[ROW][C]25[/C][C]0.083763[/C][C]0.6434[/C][C]0.261231[/C][/ROW]
[ROW][C]26[/C][C]0.034448[/C][C]0.2646[/C][C]0.396121[/C][/ROW]
[ROW][C]27[/C][C]-0.085363[/C][C]-0.6557[/C][C]0.742712[/C][/ROW]
[ROW][C]28[/C][C]-0.104451[/C][C]-0.8023[/C][C]0.787201[/C][/ROW]
[ROW][C]29[/C][C]-0.128407[/C][C]-0.9863[/C][C]0.835997[/C][/ROW]
[ROW][C]30[/C][C]-0.026041[/C][C]-0.2[/C][C]0.578925[/C][/ROW]
[ROW][C]31[/C][C]0.076725[/C][C]0.5893[/C][C]0.278943[/C][/ROW]
[ROW][C]32[/C][C]-0.056061[/C][C]-0.4306[/C][C]0.665839[/C][/ROW]
[ROW][C]33[/C][C]0.007656[/C][C]0.0588[/C][C]0.476652[/C][/ROW]
[ROW][C]34[/C][C]-0.030992[/C][C]-0.2381[/C][C]0.593667[/C][/ROW]
[ROW][C]35[/C][C]0.048892[/C][C]0.3755[/C][C]0.3543[/C][/ROW]
[ROW][C]36[/C][C]0.09896[/C][C]0.7601[/C][C]0.225103[/C][/ROW]
[ROW][C]37[/C][C]-0.01483[/C][C]-0.1139[/C][C]0.545153[/C][/ROW]
[ROW][C]38[/C][C]-0.052324[/C][C]-0.4019[/C][C]0.655399[/C][/ROW]
[ROW][C]39[/C][C]-0.101563[/C][C]-0.7801[/C][C]0.780781[/C][/ROW]
[ROW][C]40[/C][C]-0.040611[/C][C]-0.3119[/C][C]0.621908[/C][/ROW]
[ROW][C]41[/C][C]0.072651[/C][C]0.558[/C][C]0.289462[/C][/ROW]
[ROW][C]42[/C][C]0.07101[/C][C]0.5454[/C][C]0.293753[/C][/ROW]
[ROW][C]43[/C][C]-0.099946[/C][C]-0.7677[/C][C]0.777135[/C][/ROW]
[ROW][C]44[/C][C]0.007186[/C][C]0.0552[/C][C]0.478083[/C][/ROW]
[ROW][C]45[/C][C]-0.006832[/C][C]-0.0525[/C][C]0.520837[/C][/ROW]
[ROW][C]46[/C][C]-0.004008[/C][C]-0.0308[/C][C]0.512229[/C][/ROW]
[ROW][C]47[/C][C]0.061185[/C][C]0.47[/C][C]0.320054[/C][/ROW]
[ROW][C]48[/C][C]-0.005342[/C][C]-0.041[/C][C]0.516295[/C][/ROW]
[ROW][C]49[/C][C]-0.030269[/C][C]-0.2325[/C][C]0.591524[/C][/ROW]
[ROW][C]50[/C][C]-0.064519[/C][C]-0.4956[/C][C]0.688983[/C][/ROW]
[ROW][C]51[/C][C]-0.011974[/C][C]-0.092[/C][C]0.536484[/C][/ROW]
[ROW][C]52[/C][C]0.012752[/C][C]0.0979[/C][C]0.461153[/C][/ROW]
[ROW][C]53[/C][C]-0.019528[/C][C]-0.15[/C][C]0.559362[/C][/ROW]
[ROW][C]54[/C][C]-0.012255[/C][C]-0.0941[/C][C]0.537337[/C][/ROW]
[ROW][C]55[/C][C]-0.037728[/C][C]-0.2898[/C][C]0.613506[/C][/ROW]
[ROW][C]56[/C][C]-0.014826[/C][C]-0.1139[/C][C]0.54514[/C][/ROW]
[ROW][C]57[/C][C]0.006084[/C][C]0.0467[/C][C]0.481441[/C][/ROW]
[ROW][C]58[/C][C]-0.002839[/C][C]-0.0218[/C][C]0.508662[/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=4408&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4408&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
017.68110
10.0704850.54140.295134
2-0.103707-0.79660.785558
3-0.076146-0.58490.719573
4-0.116022-0.89120.811775
50.0629560.48360.315238
6-0.151161-1.16110.874859
7-0.171366-1.31630.903416
8-0.06623-0.50870.693577
90.0533760.410.341649
100.1094090.84040.202043
110.1791781.37630.086967
120.0635080.48780.313745
130.0031930.02450.490259
14-0.046872-0.360.639945
15-0.138502-1.06390.854134
16-0.035811-0.27510.607888
17-0.028088-0.21570.585036
18-0.091618-0.70370.757815
19-0.078803-0.60530.726348
200.1559441.19780.117887
210.1458591.12040.133549
220.1093430.83990.202184
23-0.074108-0.56920.714322
240.0945780.72650.235213
250.0837630.64340.261231
260.0344480.26460.396121
27-0.085363-0.65570.742712
28-0.104451-0.80230.787201
29-0.128407-0.98630.835997
30-0.026041-0.20.578925
310.0767250.58930.278943
32-0.056061-0.43060.665839
330.0076560.05880.476652
34-0.030992-0.23810.593667
350.0488920.37550.3543
360.098960.76010.225103
37-0.01483-0.11390.545153
38-0.052324-0.40190.655399
39-0.101563-0.78010.780781
40-0.040611-0.31190.621908
410.0726510.5580.289462
420.071010.54540.293753
43-0.099946-0.76770.777135
440.0071860.05520.478083
45-0.006832-0.05250.520837
46-0.004008-0.03080.512229
470.0611850.470.320054
48-0.005342-0.0410.516295
49-0.030269-0.23250.591524
50-0.064519-0.49560.688983
51-0.011974-0.0920.536484
520.0127520.09790.461153
53-0.019528-0.150.559362
54-0.012255-0.09410.537337
55-0.037728-0.28980.613506
56-0.014826-0.11390.54514
570.0060840.04670.481441
58-0.002839-0.02180.508662
59NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.0704850.54140.295134
1-0.109218-0.83890.797549
2-0.061373-0.47140.680458
3-0.119538-0.91820.818871
40.0667490.51270.305034
5-0.1975-1.5170.9327
6-0.156834-1.20470.883428
7-0.102624-0.78830.783152
80.0154710.11880.452904
90.0124790.09590.461982
100.162791.25040.108042
110.0443930.3410.36716
120.0213560.1640.43513
13-0.057551-0.44210.669969
14-0.114658-0.88070.808974
15-0.027287-0.20960.582647
160.0125640.09650.461723
17-0.056343-0.43280.666623
18-0.072326-0.55550.709688
190.1559341.19780.117901
200.044060.33840.36812
210.0420380.32290.373957
22-0.10757-0.82630.794008
230.1919091.47410.072887
240.0463780.35620.361468
250.1531791.17660.122042
26-0.022092-0.16970.567084
270.0936380.71920.237414
28-0.173098-1.32960.905615
290.0106190.08160.467635
30-0.024024-0.18450.572885
31-0.050939-0.39130.651497
32-0.071399-0.54840.707265
33-0.051374-0.39460.652724
34-0.000592-0.00450.501805
350.0153350.11780.453317
36-0.037722-0.28970.613487
37-0.063872-0.49060.687238
380.0004210.00320.498716
39-0.022416-0.17220.568059
400.0894810.68730.247289
410.0115950.08910.464668
42-0.026659-0.20480.580771
43-0.052313-0.40180.655368
44-0.060065-0.46140.676883
45-0.169667-1.30320.901222
460.0244040.18750.425975
47-0.049408-0.37950.647165
480.0396870.30480.380781
49-0.098956-0.76010.774889
500.0464250.35660.361331
51-0.104533-0.80290.787382
520.0074790.05740.477192
530.02740.21050.417014
540.0191990.14750.441632
55-0.010001-0.07680.530487
56-0.001386-0.01060.50423
57-0.02442-0.18760.574074
58NANANA
59NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.070485 & 0.5414 & 0.295134 \tabularnewline
1 & -0.109218 & -0.8389 & 0.797549 \tabularnewline
2 & -0.061373 & -0.4714 & 0.680458 \tabularnewline
3 & -0.119538 & -0.9182 & 0.818871 \tabularnewline
4 & 0.066749 & 0.5127 & 0.305034 \tabularnewline
5 & -0.1975 & -1.517 & 0.9327 \tabularnewline
6 & -0.156834 & -1.2047 & 0.883428 \tabularnewline
7 & -0.102624 & -0.7883 & 0.783152 \tabularnewline
8 & 0.015471 & 0.1188 & 0.452904 \tabularnewline
9 & 0.012479 & 0.0959 & 0.461982 \tabularnewline
10 & 0.16279 & 1.2504 & 0.108042 \tabularnewline
11 & 0.044393 & 0.341 & 0.36716 \tabularnewline
12 & 0.021356 & 0.164 & 0.43513 \tabularnewline
13 & -0.057551 & -0.4421 & 0.669969 \tabularnewline
14 & -0.114658 & -0.8807 & 0.808974 \tabularnewline
15 & -0.027287 & -0.2096 & 0.582647 \tabularnewline
16 & 0.012564 & 0.0965 & 0.461723 \tabularnewline
17 & -0.056343 & -0.4328 & 0.666623 \tabularnewline
18 & -0.072326 & -0.5555 & 0.709688 \tabularnewline
19 & 0.155934 & 1.1978 & 0.117901 \tabularnewline
20 & 0.04406 & 0.3384 & 0.36812 \tabularnewline
21 & 0.042038 & 0.3229 & 0.373957 \tabularnewline
22 & -0.10757 & -0.8263 & 0.794008 \tabularnewline
23 & 0.191909 & 1.4741 & 0.072887 \tabularnewline
24 & 0.046378 & 0.3562 & 0.361468 \tabularnewline
25 & 0.153179 & 1.1766 & 0.122042 \tabularnewline
26 & -0.022092 & -0.1697 & 0.567084 \tabularnewline
27 & 0.093638 & 0.7192 & 0.237414 \tabularnewline
28 & -0.173098 & -1.3296 & 0.905615 \tabularnewline
29 & 0.010619 & 0.0816 & 0.467635 \tabularnewline
30 & -0.024024 & -0.1845 & 0.572885 \tabularnewline
31 & -0.050939 & -0.3913 & 0.651497 \tabularnewline
32 & -0.071399 & -0.5484 & 0.707265 \tabularnewline
33 & -0.051374 & -0.3946 & 0.652724 \tabularnewline
34 & -0.000592 & -0.0045 & 0.501805 \tabularnewline
35 & 0.015335 & 0.1178 & 0.453317 \tabularnewline
36 & -0.037722 & -0.2897 & 0.613487 \tabularnewline
37 & -0.063872 & -0.4906 & 0.687238 \tabularnewline
38 & 0.000421 & 0.0032 & 0.498716 \tabularnewline
39 & -0.022416 & -0.1722 & 0.568059 \tabularnewline
40 & 0.089481 & 0.6873 & 0.247289 \tabularnewline
41 & 0.011595 & 0.0891 & 0.464668 \tabularnewline
42 & -0.026659 & -0.2048 & 0.580771 \tabularnewline
43 & -0.052313 & -0.4018 & 0.655368 \tabularnewline
44 & -0.060065 & -0.4614 & 0.676883 \tabularnewline
45 & -0.169667 & -1.3032 & 0.901222 \tabularnewline
46 & 0.024404 & 0.1875 & 0.425975 \tabularnewline
47 & -0.049408 & -0.3795 & 0.647165 \tabularnewline
48 & 0.039687 & 0.3048 & 0.380781 \tabularnewline
49 & -0.098956 & -0.7601 & 0.774889 \tabularnewline
50 & 0.046425 & 0.3566 & 0.361331 \tabularnewline
51 & -0.104533 & -0.8029 & 0.787382 \tabularnewline
52 & 0.007479 & 0.0574 & 0.477192 \tabularnewline
53 & 0.0274 & 0.2105 & 0.417014 \tabularnewline
54 & 0.019199 & 0.1475 & 0.441632 \tabularnewline
55 & -0.010001 & -0.0768 & 0.530487 \tabularnewline
56 & -0.001386 & -0.0106 & 0.50423 \tabularnewline
57 & -0.02442 & -0.1876 & 0.574074 \tabularnewline
58 & NA & NA & NA \tabularnewline
59 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4408&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]0.070485[/C][C]0.5414[/C][C]0.295134[/C][/ROW]
[ROW][C]1[/C][C]-0.109218[/C][C]-0.8389[/C][C]0.797549[/C][/ROW]
[ROW][C]2[/C][C]-0.061373[/C][C]-0.4714[/C][C]0.680458[/C][/ROW]
[ROW][C]3[/C][C]-0.119538[/C][C]-0.9182[/C][C]0.818871[/C][/ROW]
[ROW][C]4[/C][C]0.066749[/C][C]0.5127[/C][C]0.305034[/C][/ROW]
[ROW][C]5[/C][C]-0.1975[/C][C]-1.517[/C][C]0.9327[/C][/ROW]
[ROW][C]6[/C][C]-0.156834[/C][C]-1.2047[/C][C]0.883428[/C][/ROW]
[ROW][C]7[/C][C]-0.102624[/C][C]-0.7883[/C][C]0.783152[/C][/ROW]
[ROW][C]8[/C][C]0.015471[/C][C]0.1188[/C][C]0.452904[/C][/ROW]
[ROW][C]9[/C][C]0.012479[/C][C]0.0959[/C][C]0.461982[/C][/ROW]
[ROW][C]10[/C][C]0.16279[/C][C]1.2504[/C][C]0.108042[/C][/ROW]
[ROW][C]11[/C][C]0.044393[/C][C]0.341[/C][C]0.36716[/C][/ROW]
[ROW][C]12[/C][C]0.021356[/C][C]0.164[/C][C]0.43513[/C][/ROW]
[ROW][C]13[/C][C]-0.057551[/C][C]-0.4421[/C][C]0.669969[/C][/ROW]
[ROW][C]14[/C][C]-0.114658[/C][C]-0.8807[/C][C]0.808974[/C][/ROW]
[ROW][C]15[/C][C]-0.027287[/C][C]-0.2096[/C][C]0.582647[/C][/ROW]
[ROW][C]16[/C][C]0.012564[/C][C]0.0965[/C][C]0.461723[/C][/ROW]
[ROW][C]17[/C][C]-0.056343[/C][C]-0.4328[/C][C]0.666623[/C][/ROW]
[ROW][C]18[/C][C]-0.072326[/C][C]-0.5555[/C][C]0.709688[/C][/ROW]
[ROW][C]19[/C][C]0.155934[/C][C]1.1978[/C][C]0.117901[/C][/ROW]
[ROW][C]20[/C][C]0.04406[/C][C]0.3384[/C][C]0.36812[/C][/ROW]
[ROW][C]21[/C][C]0.042038[/C][C]0.3229[/C][C]0.373957[/C][/ROW]
[ROW][C]22[/C][C]-0.10757[/C][C]-0.8263[/C][C]0.794008[/C][/ROW]
[ROW][C]23[/C][C]0.191909[/C][C]1.4741[/C][C]0.072887[/C][/ROW]
[ROW][C]24[/C][C]0.046378[/C][C]0.3562[/C][C]0.361468[/C][/ROW]
[ROW][C]25[/C][C]0.153179[/C][C]1.1766[/C][C]0.122042[/C][/ROW]
[ROW][C]26[/C][C]-0.022092[/C][C]-0.1697[/C][C]0.567084[/C][/ROW]
[ROW][C]27[/C][C]0.093638[/C][C]0.7192[/C][C]0.237414[/C][/ROW]
[ROW][C]28[/C][C]-0.173098[/C][C]-1.3296[/C][C]0.905615[/C][/ROW]
[ROW][C]29[/C][C]0.010619[/C][C]0.0816[/C][C]0.467635[/C][/ROW]
[ROW][C]30[/C][C]-0.024024[/C][C]-0.1845[/C][C]0.572885[/C][/ROW]
[ROW][C]31[/C][C]-0.050939[/C][C]-0.3913[/C][C]0.651497[/C][/ROW]
[ROW][C]32[/C][C]-0.071399[/C][C]-0.5484[/C][C]0.707265[/C][/ROW]
[ROW][C]33[/C][C]-0.051374[/C][C]-0.3946[/C][C]0.652724[/C][/ROW]
[ROW][C]34[/C][C]-0.000592[/C][C]-0.0045[/C][C]0.501805[/C][/ROW]
[ROW][C]35[/C][C]0.015335[/C][C]0.1178[/C][C]0.453317[/C][/ROW]
[ROW][C]36[/C][C]-0.037722[/C][C]-0.2897[/C][C]0.613487[/C][/ROW]
[ROW][C]37[/C][C]-0.063872[/C][C]-0.4906[/C][C]0.687238[/C][/ROW]
[ROW][C]38[/C][C]0.000421[/C][C]0.0032[/C][C]0.498716[/C][/ROW]
[ROW][C]39[/C][C]-0.022416[/C][C]-0.1722[/C][C]0.568059[/C][/ROW]
[ROW][C]40[/C][C]0.089481[/C][C]0.6873[/C][C]0.247289[/C][/ROW]
[ROW][C]41[/C][C]0.011595[/C][C]0.0891[/C][C]0.464668[/C][/ROW]
[ROW][C]42[/C][C]-0.026659[/C][C]-0.2048[/C][C]0.580771[/C][/ROW]
[ROW][C]43[/C][C]-0.052313[/C][C]-0.4018[/C][C]0.655368[/C][/ROW]
[ROW][C]44[/C][C]-0.060065[/C][C]-0.4614[/C][C]0.676883[/C][/ROW]
[ROW][C]45[/C][C]-0.169667[/C][C]-1.3032[/C][C]0.901222[/C][/ROW]
[ROW][C]46[/C][C]0.024404[/C][C]0.1875[/C][C]0.425975[/C][/ROW]
[ROW][C]47[/C][C]-0.049408[/C][C]-0.3795[/C][C]0.647165[/C][/ROW]
[ROW][C]48[/C][C]0.039687[/C][C]0.3048[/C][C]0.380781[/C][/ROW]
[ROW][C]49[/C][C]-0.098956[/C][C]-0.7601[/C][C]0.774889[/C][/ROW]
[ROW][C]50[/C][C]0.046425[/C][C]0.3566[/C][C]0.361331[/C][/ROW]
[ROW][C]51[/C][C]-0.104533[/C][C]-0.8029[/C][C]0.787382[/C][/ROW]
[ROW][C]52[/C][C]0.007479[/C][C]0.0574[/C][C]0.477192[/C][/ROW]
[ROW][C]53[/C][C]0.0274[/C][C]0.2105[/C][C]0.417014[/C][/ROW]
[ROW][C]54[/C][C]0.019199[/C][C]0.1475[/C][C]0.441632[/C][/ROW]
[ROW][C]55[/C][C]-0.010001[/C][C]-0.0768[/C][C]0.530487[/C][/ROW]
[ROW][C]56[/C][C]-0.001386[/C][C]-0.0106[/C][C]0.50423[/C][/ROW]
[ROW][C]57[/C][C]-0.02442[/C][C]-0.1876[/C][C]0.574074[/C][/ROW]
[ROW][C]58[/C][C]NA[/C][C]NA[/C][C]NA[/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=4408&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4408&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
00.0704850.54140.295134
1-0.109218-0.83890.797549
2-0.061373-0.47140.680458
3-0.119538-0.91820.818871
40.0667490.51270.305034
5-0.1975-1.5170.9327
6-0.156834-1.20470.883428
7-0.102624-0.78830.783152
80.0154710.11880.452904
90.0124790.09590.461982
100.162791.25040.108042
110.0443930.3410.36716
120.0213560.1640.43513
13-0.057551-0.44210.669969
14-0.114658-0.88070.808974
15-0.027287-0.20960.582647
160.0125640.09650.461723
17-0.056343-0.43280.666623
18-0.072326-0.55550.709688
190.1559341.19780.117901
200.044060.33840.36812
210.0420380.32290.373957
22-0.10757-0.82630.794008
230.1919091.47410.072887
240.0463780.35620.361468
250.1531791.17660.122042
26-0.022092-0.16970.567084
270.0936380.71920.237414
28-0.173098-1.32960.905615
290.0106190.08160.467635
30-0.024024-0.18450.572885
31-0.050939-0.39130.651497
32-0.071399-0.54840.707265
33-0.051374-0.39460.652724
34-0.000592-0.00450.501805
350.0153350.11780.453317
36-0.037722-0.28970.613487
37-0.063872-0.49060.687238
380.0004210.00320.498716
39-0.022416-0.17220.568059
400.0894810.68730.247289
410.0115950.08910.464668
42-0.026659-0.20480.580771
43-0.052313-0.40180.655368
44-0.060065-0.46140.676883
45-0.169667-1.30320.901222
460.0244040.18750.425975
47-0.049408-0.37950.647165
480.0396870.30480.380781
49-0.098956-0.76010.774889
500.0464250.35660.361331
51-0.104533-0.80290.787382
520.0074790.05740.477192
530.02740.21050.417014
540.0191990.14750.441632
55-0.010001-0.07680.530487
56-0.001386-0.01060.50423
57-0.02442-0.18760.574074
58NANANA
59NANANA



Parameters (Session):
par1 = 60 ; par2 = -1.8 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = -1.8 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
R code (references can be found in the software module):
if (par1 == 'Default') {
par1 = 10*log10(length(x))
} else {
par1 <- as.numeric(par1)
}
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
par5 <- as.numeric(par5)
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='pic1.png')
racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
dev.off()
(myacf <- c(racf$acf))
(mypacf <- c(rpacf$acf))
lengthx <- length(x)
sqrtn <- sqrt(lengthx)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','ACF(k)','click here for more information about the Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 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')