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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 computationSun, 06 Dec 2009 13:57:50 -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/2009/Dec/06/t1260133114vzkpx6eblvxn7vi.htm/, Retrieved Sun, 05 May 2024 21:13:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=64508, Retrieved Sun, 05 May 2024 21:13:25 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact117
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [(Partial) Autocorrelation Function] [Autocorrelation f...] [2007-12-17 14:31:53] [0089dec2868056b990fdbd23bf9edb23]
- RMPD    [(Partial) Autocorrelation Function] [PAPER] [2009-12-06 20:57:50] [2d9a0b3c2f25bb8f387fafb994d0d852] [Current]
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Dataseries X:
100.00
100.83
101.51
102.16
102.39
102.54
102.85
103.47
103.57
103.69
103.50
103.47
103.45
103.48
103.93
103.89
104.40
104.79
104.77
105.13
105.26
104.96
104.75
105.01
105.15
105.20
105.77
105.78
106.26
106.13
106.12
106.57
106.44
106.54
107.10
108.10
108.40
108.84
109.62
110.42
110.67
111.66
112.28
112.87
112.18
112.36
112.16
111.49
111.25
111.36
111.74
111.10
111.33
111.25
111.04
110.97
111.31
111.02
111.07
111.36




Summary of computational 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 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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=64508&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=64508&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=64508&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'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
017.7460
10.9499457.35820
20.9034826.99830
30.8584526.64950
40.812646.29470
50.7660925.93410
60.7191295.57030
70.6723025.20761e-06
80.6270694.85734e-06
90.5829264.51531.5e-05
100.5360144.15195.3e-05
110.4882943.78230.00018
120.4385833.39730.000607
130.3866682.99510.001991
140.3309462.56350.006443
150.2767732.14390.018053
160.2204471.70760.046442
170.1650111.27820.103056
180.1144930.88690.189349
190.0658380.510.305968
200.0243590.18870.425488
21-0.01459-0.1130.544802
22-0.053566-0.41490.660159
23-0.092775-0.71860.762422
24-0.128738-0.99720.838663
25-0.164292-1.27260.895966
26-0.196217-1.51990.933104
27-0.221722-1.71740.954472
28-0.247873-1.920.970193
29-0.271113-2.10.980031
30-0.294261-2.27930.986891
31-0.318535-2.46740.991759
32-0.340309-2.6360.994669
33-0.36292-2.81120.996671
34-0.387516-3.00170.998046
35-0.406826-3.15130.998732
36-0.418967-3.24530.99904
37-0.431016-3.33860.999275
38-0.43918-3.40190.999402
39-0.443107-3.43230.999455
40-0.443062-3.43190.999454
41-0.441359-3.41880.999432
42-0.428968-3.32280.999239
43-0.41138-3.18650.998857
44-0.38578-2.98820.997969
45-0.362772-2.810.99666
46-0.337549-2.61460.994361
47-0.310807-2.40750.990423
48-0.289844-2.24510.985771
49-0.270952-2.09880.979974
50-0.251347-1.94690.971885
51-0.22869-1.77140.959216
52-0.211146-1.63550.946413
53-0.190967-1.47920.927845
54-0.168218-1.3030.901225
55-0.145741-1.12890.868285
56-0.123321-0.95520.828356
57-0.096589-0.74820.771362
58-0.069276-0.53660.703239
59-0.038168-0.29560.61574

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 7.746 & 0 \tabularnewline
1 & 0.949945 & 7.3582 & 0 \tabularnewline
2 & 0.903482 & 6.9983 & 0 \tabularnewline
3 & 0.858452 & 6.6495 & 0 \tabularnewline
4 & 0.81264 & 6.2947 & 0 \tabularnewline
5 & 0.766092 & 5.9341 & 0 \tabularnewline
6 & 0.719129 & 5.5703 & 0 \tabularnewline
7 & 0.672302 & 5.2076 & 1e-06 \tabularnewline
8 & 0.627069 & 4.8573 & 4e-06 \tabularnewline
9 & 0.582926 & 4.5153 & 1.5e-05 \tabularnewline
10 & 0.536014 & 4.1519 & 5.3e-05 \tabularnewline
11 & 0.488294 & 3.7823 & 0.00018 \tabularnewline
12 & 0.438583 & 3.3973 & 0.000607 \tabularnewline
13 & 0.386668 & 2.9951 & 0.001991 \tabularnewline
14 & 0.330946 & 2.5635 & 0.006443 \tabularnewline
15 & 0.276773 & 2.1439 & 0.018053 \tabularnewline
16 & 0.220447 & 1.7076 & 0.046442 \tabularnewline
17 & 0.165011 & 1.2782 & 0.103056 \tabularnewline
18 & 0.114493 & 0.8869 & 0.189349 \tabularnewline
19 & 0.065838 & 0.51 & 0.305968 \tabularnewline
20 & 0.024359 & 0.1887 & 0.425488 \tabularnewline
21 & -0.01459 & -0.113 & 0.544802 \tabularnewline
22 & -0.053566 & -0.4149 & 0.660159 \tabularnewline
23 & -0.092775 & -0.7186 & 0.762422 \tabularnewline
24 & -0.128738 & -0.9972 & 0.838663 \tabularnewline
25 & -0.164292 & -1.2726 & 0.895966 \tabularnewline
26 & -0.196217 & -1.5199 & 0.933104 \tabularnewline
27 & -0.221722 & -1.7174 & 0.954472 \tabularnewline
28 & -0.247873 & -1.92 & 0.970193 \tabularnewline
29 & -0.271113 & -2.1 & 0.980031 \tabularnewline
30 & -0.294261 & -2.2793 & 0.986891 \tabularnewline
31 & -0.318535 & -2.4674 & 0.991759 \tabularnewline
32 & -0.340309 & -2.636 & 0.994669 \tabularnewline
33 & -0.36292 & -2.8112 & 0.996671 \tabularnewline
34 & -0.387516 & -3.0017 & 0.998046 \tabularnewline
35 & -0.406826 & -3.1513 & 0.998732 \tabularnewline
36 & -0.418967 & -3.2453 & 0.99904 \tabularnewline
37 & -0.431016 & -3.3386 & 0.999275 \tabularnewline
38 & -0.43918 & -3.4019 & 0.999402 \tabularnewline
39 & -0.443107 & -3.4323 & 0.999455 \tabularnewline
40 & -0.443062 & -3.4319 & 0.999454 \tabularnewline
41 & -0.441359 & -3.4188 & 0.999432 \tabularnewline
42 & -0.428968 & -3.3228 & 0.999239 \tabularnewline
43 & -0.41138 & -3.1865 & 0.998857 \tabularnewline
44 & -0.38578 & -2.9882 & 0.997969 \tabularnewline
45 & -0.362772 & -2.81 & 0.99666 \tabularnewline
46 & -0.337549 & -2.6146 & 0.994361 \tabularnewline
47 & -0.310807 & -2.4075 & 0.990423 \tabularnewline
48 & -0.289844 & -2.2451 & 0.985771 \tabularnewline
49 & -0.270952 & -2.0988 & 0.979974 \tabularnewline
50 & -0.251347 & -1.9469 & 0.971885 \tabularnewline
51 & -0.22869 & -1.7714 & 0.959216 \tabularnewline
52 & -0.211146 & -1.6355 & 0.946413 \tabularnewline
53 & -0.190967 & -1.4792 & 0.927845 \tabularnewline
54 & -0.168218 & -1.303 & 0.901225 \tabularnewline
55 & -0.145741 & -1.1289 & 0.868285 \tabularnewline
56 & -0.123321 & -0.9552 & 0.828356 \tabularnewline
57 & -0.096589 & -0.7482 & 0.771362 \tabularnewline
58 & -0.069276 & -0.5366 & 0.703239 \tabularnewline
59 & -0.038168 & -0.2956 & 0.61574 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=64508&T=1

[TABLE]
[ROW][C]Autocorrelation Function[/C][/ROW]
[ROW][C]Time lag k[/C][C]ACF(k)[/C][C]T-STAT[/C][C]P-value[/C][/ROW]
[ROW][C]0[/C][C]1[/C][C]7.746[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.949945[/C][C]7.3582[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.903482[/C][C]6.9983[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.858452[/C][C]6.6495[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.81264[/C][C]6.2947[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.766092[/C][C]5.9341[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.719129[/C][C]5.5703[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.672302[/C][C]5.2076[/C][C]1e-06[/C][/ROW]
[ROW][C]8[/C][C]0.627069[/C][C]4.8573[/C][C]4e-06[/C][/ROW]
[ROW][C]9[/C][C]0.582926[/C][C]4.5153[/C][C]1.5e-05[/C][/ROW]
[ROW][C]10[/C][C]0.536014[/C][C]4.1519[/C][C]5.3e-05[/C][/ROW]
[ROW][C]11[/C][C]0.488294[/C][C]3.7823[/C][C]0.00018[/C][/ROW]
[ROW][C]12[/C][C]0.438583[/C][C]3.3973[/C][C]0.000607[/C][/ROW]
[ROW][C]13[/C][C]0.386668[/C][C]2.9951[/C][C]0.001991[/C][/ROW]
[ROW][C]14[/C][C]0.330946[/C][C]2.5635[/C][C]0.006443[/C][/ROW]
[ROW][C]15[/C][C]0.276773[/C][C]2.1439[/C][C]0.018053[/C][/ROW]
[ROW][C]16[/C][C]0.220447[/C][C]1.7076[/C][C]0.046442[/C][/ROW]
[ROW][C]17[/C][C]0.165011[/C][C]1.2782[/C][C]0.103056[/C][/ROW]
[ROW][C]18[/C][C]0.114493[/C][C]0.8869[/C][C]0.189349[/C][/ROW]
[ROW][C]19[/C][C]0.065838[/C][C]0.51[/C][C]0.305968[/C][/ROW]
[ROW][C]20[/C][C]0.024359[/C][C]0.1887[/C][C]0.425488[/C][/ROW]
[ROW][C]21[/C][C]-0.01459[/C][C]-0.113[/C][C]0.544802[/C][/ROW]
[ROW][C]22[/C][C]-0.053566[/C][C]-0.4149[/C][C]0.660159[/C][/ROW]
[ROW][C]23[/C][C]-0.092775[/C][C]-0.7186[/C][C]0.762422[/C][/ROW]
[ROW][C]24[/C][C]-0.128738[/C][C]-0.9972[/C][C]0.838663[/C][/ROW]
[ROW][C]25[/C][C]-0.164292[/C][C]-1.2726[/C][C]0.895966[/C][/ROW]
[ROW][C]26[/C][C]-0.196217[/C][C]-1.5199[/C][C]0.933104[/C][/ROW]
[ROW][C]27[/C][C]-0.221722[/C][C]-1.7174[/C][C]0.954472[/C][/ROW]
[ROW][C]28[/C][C]-0.247873[/C][C]-1.92[/C][C]0.970193[/C][/ROW]
[ROW][C]29[/C][C]-0.271113[/C][C]-2.1[/C][C]0.980031[/C][/ROW]
[ROW][C]30[/C][C]-0.294261[/C][C]-2.2793[/C][C]0.986891[/C][/ROW]
[ROW][C]31[/C][C]-0.318535[/C][C]-2.4674[/C][C]0.991759[/C][/ROW]
[ROW][C]32[/C][C]-0.340309[/C][C]-2.636[/C][C]0.994669[/C][/ROW]
[ROW][C]33[/C][C]-0.36292[/C][C]-2.8112[/C][C]0.996671[/C][/ROW]
[ROW][C]34[/C][C]-0.387516[/C][C]-3.0017[/C][C]0.998046[/C][/ROW]
[ROW][C]35[/C][C]-0.406826[/C][C]-3.1513[/C][C]0.998732[/C][/ROW]
[ROW][C]36[/C][C]-0.418967[/C][C]-3.2453[/C][C]0.99904[/C][/ROW]
[ROW][C]37[/C][C]-0.431016[/C][C]-3.3386[/C][C]0.999275[/C][/ROW]
[ROW][C]38[/C][C]-0.43918[/C][C]-3.4019[/C][C]0.999402[/C][/ROW]
[ROW][C]39[/C][C]-0.443107[/C][C]-3.4323[/C][C]0.999455[/C][/ROW]
[ROW][C]40[/C][C]-0.443062[/C][C]-3.4319[/C][C]0.999454[/C][/ROW]
[ROW][C]41[/C][C]-0.441359[/C][C]-3.4188[/C][C]0.999432[/C][/ROW]
[ROW][C]42[/C][C]-0.428968[/C][C]-3.3228[/C][C]0.999239[/C][/ROW]
[ROW][C]43[/C][C]-0.41138[/C][C]-3.1865[/C][C]0.998857[/C][/ROW]
[ROW][C]44[/C][C]-0.38578[/C][C]-2.9882[/C][C]0.997969[/C][/ROW]
[ROW][C]45[/C][C]-0.362772[/C][C]-2.81[/C][C]0.99666[/C][/ROW]
[ROW][C]46[/C][C]-0.337549[/C][C]-2.6146[/C][C]0.994361[/C][/ROW]
[ROW][C]47[/C][C]-0.310807[/C][C]-2.4075[/C][C]0.990423[/C][/ROW]
[ROW][C]48[/C][C]-0.289844[/C][C]-2.2451[/C][C]0.985771[/C][/ROW]
[ROW][C]49[/C][C]-0.270952[/C][C]-2.0988[/C][C]0.979974[/C][/ROW]
[ROW][C]50[/C][C]-0.251347[/C][C]-1.9469[/C][C]0.971885[/C][/ROW]
[ROW][C]51[/C][C]-0.22869[/C][C]-1.7714[/C][C]0.959216[/C][/ROW]
[ROW][C]52[/C][C]-0.211146[/C][C]-1.6355[/C][C]0.946413[/C][/ROW]
[ROW][C]53[/C][C]-0.190967[/C][C]-1.4792[/C][C]0.927845[/C][/ROW]
[ROW][C]54[/C][C]-0.168218[/C][C]-1.303[/C][C]0.901225[/C][/ROW]
[ROW][C]55[/C][C]-0.145741[/C][C]-1.1289[/C][C]0.868285[/C][/ROW]
[ROW][C]56[/C][C]-0.123321[/C][C]-0.9552[/C][C]0.828356[/C][/ROW]
[ROW][C]57[/C][C]-0.096589[/C][C]-0.7482[/C][C]0.771362[/C][/ROW]
[ROW][C]58[/C][C]-0.069276[/C][C]-0.5366[/C][C]0.703239[/C][/ROW]
[ROW][C]59[/C][C]-0.038168[/C][C]-0.2956[/C][C]0.61574[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=64508&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=64508&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Autocorrelation Function
Time lag kACF(k)T-STATP-value
017.7460
10.9499457.35820
20.9034826.99830
30.8584526.64950
40.812646.29470
50.7660925.93410
60.7191295.57030
70.6723025.20761e-06
80.6270694.85734e-06
90.5829264.51531.5e-05
100.5360144.15195.3e-05
110.4882943.78230.00018
120.4385833.39730.000607
130.3866682.99510.001991
140.3309462.56350.006443
150.2767732.14390.018053
160.2204471.70760.046442
170.1650111.27820.103056
180.1144930.88690.189349
190.0658380.510.305968
200.0243590.18870.425488
21-0.01459-0.1130.544802
22-0.053566-0.41490.660159
23-0.092775-0.71860.762422
24-0.128738-0.99720.838663
25-0.164292-1.27260.895966
26-0.196217-1.51990.933104
27-0.221722-1.71740.954472
28-0.247873-1.920.970193
29-0.271113-2.10.980031
30-0.294261-2.27930.986891
31-0.318535-2.46740.991759
32-0.340309-2.6360.994669
33-0.36292-2.81120.996671
34-0.387516-3.00170.998046
35-0.406826-3.15130.998732
36-0.418967-3.24530.99904
37-0.431016-3.33860.999275
38-0.43918-3.40190.999402
39-0.443107-3.43230.999455
40-0.443062-3.43190.999454
41-0.441359-3.41880.999432
42-0.428968-3.32280.999239
43-0.41138-3.18650.998857
44-0.38578-2.98820.997969
45-0.362772-2.810.99666
46-0.337549-2.61460.994361
47-0.310807-2.40750.990423
48-0.289844-2.24510.985771
49-0.270952-2.09880.979974
50-0.251347-1.94690.971885
51-0.22869-1.77140.959216
52-0.211146-1.63550.946413
53-0.190967-1.47920.927845
54-0.168218-1.3030.901225
55-0.145741-1.12890.868285
56-0.123321-0.95520.828356
57-0.096589-0.74820.771362
58-0.069276-0.53660.703239
59-0.038168-0.29560.61574







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.9499457.35820
10.0111260.08620.465806
2-0.008472-0.06560.526053
3-0.031197-0.24170.595062
4-0.03312-0.25650.600795
5-0.03136-0.24290.595548
6-0.026413-0.20460.580709
7-0.011568-0.08960.535549
8-0.015313-0.11860.547012
9-0.055073-0.42660.664398
10-0.040667-0.3150.623075
11-0.054516-0.42230.662836
12-0.059173-0.45840.675823
13-0.07909-0.61260.728781
14-0.029008-0.22470.588509
15-0.064783-0.50180.691179
16-0.03862-0.29920.617071
170.0027580.02140.491513
18-0.022075-0.1710.567598
190.0320450.24820.402407
20-0.008966-0.06950.52757
21-0.035523-0.27520.607932
22-0.04202-0.32550.627027
23-0.010292-0.07970.531637
24-0.031946-0.24750.597299
25-0.000629-0.00490.501934
260.0312050.24170.404912
27-0.037684-0.29190.614313
28-0.011285-0.08740.534682
29-0.044201-0.34240.63337
30-0.060577-0.46920.679696
31-0.024538-0.19010.575052
32-0.061596-0.47710.682496
33-0.068245-0.52860.700491
34000.500001
350.0281210.21780.414154
36-0.031403-0.24320.595677
370.0005990.00460.498155
380.0051060.03960.48429
390.0058260.04510.482078
40-0.012596-0.09760.5387
410.0815550.63170.264985
420.0562490.43570.332309
430.0892970.69170.2459
44-0.020258-0.15690.562082
450.029570.2290.409805
460.0075720.05870.476713
47-0.076875-0.59550.723116
48-0.046283-0.35850.639389
49-0.017986-0.13930.555167
500.0024940.01930.492325
51-0.06986-0.54110.704791
52-0.001982-0.01540.506101
530.0079170.06130.475651
54-0.015679-0.12140.548129
55-0.018718-0.1450.557397
560.0343380.2660.395582
570.0244690.18950.425156
580.0598720.46380.322245
59NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.949945 & 7.3582 & 0 \tabularnewline
1 & 0.011126 & 0.0862 & 0.465806 \tabularnewline
2 & -0.008472 & -0.0656 & 0.526053 \tabularnewline
3 & -0.031197 & -0.2417 & 0.595062 \tabularnewline
4 & -0.03312 & -0.2565 & 0.600795 \tabularnewline
5 & -0.03136 & -0.2429 & 0.595548 \tabularnewline
6 & -0.026413 & -0.2046 & 0.580709 \tabularnewline
7 & -0.011568 & -0.0896 & 0.535549 \tabularnewline
8 & -0.015313 & -0.1186 & 0.547012 \tabularnewline
9 & -0.055073 & -0.4266 & 0.664398 \tabularnewline
10 & -0.040667 & -0.315 & 0.623075 \tabularnewline
11 & -0.054516 & -0.4223 & 0.662836 \tabularnewline
12 & -0.059173 & -0.4584 & 0.675823 \tabularnewline
13 & -0.07909 & -0.6126 & 0.728781 \tabularnewline
14 & -0.029008 & -0.2247 & 0.588509 \tabularnewline
15 & -0.064783 & -0.5018 & 0.691179 \tabularnewline
16 & -0.03862 & -0.2992 & 0.617071 \tabularnewline
17 & 0.002758 & 0.0214 & 0.491513 \tabularnewline
18 & -0.022075 & -0.171 & 0.567598 \tabularnewline
19 & 0.032045 & 0.2482 & 0.402407 \tabularnewline
20 & -0.008966 & -0.0695 & 0.52757 \tabularnewline
21 & -0.035523 & -0.2752 & 0.607932 \tabularnewline
22 & -0.04202 & -0.3255 & 0.627027 \tabularnewline
23 & -0.010292 & -0.0797 & 0.531637 \tabularnewline
24 & -0.031946 & -0.2475 & 0.597299 \tabularnewline
25 & -0.000629 & -0.0049 & 0.501934 \tabularnewline
26 & 0.031205 & 0.2417 & 0.404912 \tabularnewline
27 & -0.037684 & -0.2919 & 0.614313 \tabularnewline
28 & -0.011285 & -0.0874 & 0.534682 \tabularnewline
29 & -0.044201 & -0.3424 & 0.63337 \tabularnewline
30 & -0.060577 & -0.4692 & 0.679696 \tabularnewline
31 & -0.024538 & -0.1901 & 0.575052 \tabularnewline
32 & -0.061596 & -0.4771 & 0.682496 \tabularnewline
33 & -0.068245 & -0.5286 & 0.700491 \tabularnewline
34 & 0 & 0 & 0.500001 \tabularnewline
35 & 0.028121 & 0.2178 & 0.414154 \tabularnewline
36 & -0.031403 & -0.2432 & 0.595677 \tabularnewline
37 & 0.000599 & 0.0046 & 0.498155 \tabularnewline
38 & 0.005106 & 0.0396 & 0.48429 \tabularnewline
39 & 0.005826 & 0.0451 & 0.482078 \tabularnewline
40 & -0.012596 & -0.0976 & 0.5387 \tabularnewline
41 & 0.081555 & 0.6317 & 0.264985 \tabularnewline
42 & 0.056249 & 0.4357 & 0.332309 \tabularnewline
43 & 0.089297 & 0.6917 & 0.2459 \tabularnewline
44 & -0.020258 & -0.1569 & 0.562082 \tabularnewline
45 & 0.02957 & 0.229 & 0.409805 \tabularnewline
46 & 0.007572 & 0.0587 & 0.476713 \tabularnewline
47 & -0.076875 & -0.5955 & 0.723116 \tabularnewline
48 & -0.046283 & -0.3585 & 0.639389 \tabularnewline
49 & -0.017986 & -0.1393 & 0.555167 \tabularnewline
50 & 0.002494 & 0.0193 & 0.492325 \tabularnewline
51 & -0.06986 & -0.5411 & 0.704791 \tabularnewline
52 & -0.001982 & -0.0154 & 0.506101 \tabularnewline
53 & 0.007917 & 0.0613 & 0.475651 \tabularnewline
54 & -0.015679 & -0.1214 & 0.548129 \tabularnewline
55 & -0.018718 & -0.145 & 0.557397 \tabularnewline
56 & 0.034338 & 0.266 & 0.395582 \tabularnewline
57 & 0.024469 & 0.1895 & 0.425156 \tabularnewline
58 & 0.059872 & 0.4638 & 0.322245 \tabularnewline
59 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=64508&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]0.949945[/C][C]7.3582[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.011126[/C][C]0.0862[/C][C]0.465806[/C][/ROW]
[ROW][C]2[/C][C]-0.008472[/C][C]-0.0656[/C][C]0.526053[/C][/ROW]
[ROW][C]3[/C][C]-0.031197[/C][C]-0.2417[/C][C]0.595062[/C][/ROW]
[ROW][C]4[/C][C]-0.03312[/C][C]-0.2565[/C][C]0.600795[/C][/ROW]
[ROW][C]5[/C][C]-0.03136[/C][C]-0.2429[/C][C]0.595548[/C][/ROW]
[ROW][C]6[/C][C]-0.026413[/C][C]-0.2046[/C][C]0.580709[/C][/ROW]
[ROW][C]7[/C][C]-0.011568[/C][C]-0.0896[/C][C]0.535549[/C][/ROW]
[ROW][C]8[/C][C]-0.015313[/C][C]-0.1186[/C][C]0.547012[/C][/ROW]
[ROW][C]9[/C][C]-0.055073[/C][C]-0.4266[/C][C]0.664398[/C][/ROW]
[ROW][C]10[/C][C]-0.040667[/C][C]-0.315[/C][C]0.623075[/C][/ROW]
[ROW][C]11[/C][C]-0.054516[/C][C]-0.4223[/C][C]0.662836[/C][/ROW]
[ROW][C]12[/C][C]-0.059173[/C][C]-0.4584[/C][C]0.675823[/C][/ROW]
[ROW][C]13[/C][C]-0.07909[/C][C]-0.6126[/C][C]0.728781[/C][/ROW]
[ROW][C]14[/C][C]-0.029008[/C][C]-0.2247[/C][C]0.588509[/C][/ROW]
[ROW][C]15[/C][C]-0.064783[/C][C]-0.5018[/C][C]0.691179[/C][/ROW]
[ROW][C]16[/C][C]-0.03862[/C][C]-0.2992[/C][C]0.617071[/C][/ROW]
[ROW][C]17[/C][C]0.002758[/C][C]0.0214[/C][C]0.491513[/C][/ROW]
[ROW][C]18[/C][C]-0.022075[/C][C]-0.171[/C][C]0.567598[/C][/ROW]
[ROW][C]19[/C][C]0.032045[/C][C]0.2482[/C][C]0.402407[/C][/ROW]
[ROW][C]20[/C][C]-0.008966[/C][C]-0.0695[/C][C]0.52757[/C][/ROW]
[ROW][C]21[/C][C]-0.035523[/C][C]-0.2752[/C][C]0.607932[/C][/ROW]
[ROW][C]22[/C][C]-0.04202[/C][C]-0.3255[/C][C]0.627027[/C][/ROW]
[ROW][C]23[/C][C]-0.010292[/C][C]-0.0797[/C][C]0.531637[/C][/ROW]
[ROW][C]24[/C][C]-0.031946[/C][C]-0.2475[/C][C]0.597299[/C][/ROW]
[ROW][C]25[/C][C]-0.000629[/C][C]-0.0049[/C][C]0.501934[/C][/ROW]
[ROW][C]26[/C][C]0.031205[/C][C]0.2417[/C][C]0.404912[/C][/ROW]
[ROW][C]27[/C][C]-0.037684[/C][C]-0.2919[/C][C]0.614313[/C][/ROW]
[ROW][C]28[/C][C]-0.011285[/C][C]-0.0874[/C][C]0.534682[/C][/ROW]
[ROW][C]29[/C][C]-0.044201[/C][C]-0.3424[/C][C]0.63337[/C][/ROW]
[ROW][C]30[/C][C]-0.060577[/C][C]-0.4692[/C][C]0.679696[/C][/ROW]
[ROW][C]31[/C][C]-0.024538[/C][C]-0.1901[/C][C]0.575052[/C][/ROW]
[ROW][C]32[/C][C]-0.061596[/C][C]-0.4771[/C][C]0.682496[/C][/ROW]
[ROW][C]33[/C][C]-0.068245[/C][C]-0.5286[/C][C]0.700491[/C][/ROW]
[ROW][C]34[/C][C]0[/C][C]0[/C][C]0.500001[/C][/ROW]
[ROW][C]35[/C][C]0.028121[/C][C]0.2178[/C][C]0.414154[/C][/ROW]
[ROW][C]36[/C][C]-0.031403[/C][C]-0.2432[/C][C]0.595677[/C][/ROW]
[ROW][C]37[/C][C]0.000599[/C][C]0.0046[/C][C]0.498155[/C][/ROW]
[ROW][C]38[/C][C]0.005106[/C][C]0.0396[/C][C]0.48429[/C][/ROW]
[ROW][C]39[/C][C]0.005826[/C][C]0.0451[/C][C]0.482078[/C][/ROW]
[ROW][C]40[/C][C]-0.012596[/C][C]-0.0976[/C][C]0.5387[/C][/ROW]
[ROW][C]41[/C][C]0.081555[/C][C]0.6317[/C][C]0.264985[/C][/ROW]
[ROW][C]42[/C][C]0.056249[/C][C]0.4357[/C][C]0.332309[/C][/ROW]
[ROW][C]43[/C][C]0.089297[/C][C]0.6917[/C][C]0.2459[/C][/ROW]
[ROW][C]44[/C][C]-0.020258[/C][C]-0.1569[/C][C]0.562082[/C][/ROW]
[ROW][C]45[/C][C]0.02957[/C][C]0.229[/C][C]0.409805[/C][/ROW]
[ROW][C]46[/C][C]0.007572[/C][C]0.0587[/C][C]0.476713[/C][/ROW]
[ROW][C]47[/C][C]-0.076875[/C][C]-0.5955[/C][C]0.723116[/C][/ROW]
[ROW][C]48[/C][C]-0.046283[/C][C]-0.3585[/C][C]0.639389[/C][/ROW]
[ROW][C]49[/C][C]-0.017986[/C][C]-0.1393[/C][C]0.555167[/C][/ROW]
[ROW][C]50[/C][C]0.002494[/C][C]0.0193[/C][C]0.492325[/C][/ROW]
[ROW][C]51[/C][C]-0.06986[/C][C]-0.5411[/C][C]0.704791[/C][/ROW]
[ROW][C]52[/C][C]-0.001982[/C][C]-0.0154[/C][C]0.506101[/C][/ROW]
[ROW][C]53[/C][C]0.007917[/C][C]0.0613[/C][C]0.475651[/C][/ROW]
[ROW][C]54[/C][C]-0.015679[/C][C]-0.1214[/C][C]0.548129[/C][/ROW]
[ROW][C]55[/C][C]-0.018718[/C][C]-0.145[/C][C]0.557397[/C][/ROW]
[ROW][C]56[/C][C]0.034338[/C][C]0.266[/C][C]0.395582[/C][/ROW]
[ROW][C]57[/C][C]0.024469[/C][C]0.1895[/C][C]0.425156[/C][/ROW]
[ROW][C]58[/C][C]0.059872[/C][C]0.4638[/C][C]0.322245[/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=64508&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=64508&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
00.9499457.35820
10.0111260.08620.465806
2-0.008472-0.06560.526053
3-0.031197-0.24170.595062
4-0.03312-0.25650.600795
5-0.03136-0.24290.595548
6-0.026413-0.20460.580709
7-0.011568-0.08960.535549
8-0.015313-0.11860.547012
9-0.055073-0.42660.664398
10-0.040667-0.3150.623075
11-0.054516-0.42230.662836
12-0.059173-0.45840.675823
13-0.07909-0.61260.728781
14-0.029008-0.22470.588509
15-0.064783-0.50180.691179
16-0.03862-0.29920.617071
170.0027580.02140.491513
18-0.022075-0.1710.567598
190.0320450.24820.402407
20-0.008966-0.06950.52757
21-0.035523-0.27520.607932
22-0.04202-0.32550.627027
23-0.010292-0.07970.531637
24-0.031946-0.24750.597299
25-0.000629-0.00490.501934
260.0312050.24170.404912
27-0.037684-0.29190.614313
28-0.011285-0.08740.534682
29-0.044201-0.34240.63337
30-0.060577-0.46920.679696
31-0.024538-0.19010.575052
32-0.061596-0.47710.682496
33-0.068245-0.52860.700491
34000.500001
350.0281210.21780.414154
36-0.031403-0.24320.595677
370.0005990.00460.498155
380.0051060.03960.48429
390.0058260.04510.482078
40-0.012596-0.09760.5387
410.0815550.63170.264985
420.0562490.43570.332309
430.0892970.69170.2459
44-0.020258-0.15690.562082
450.029570.2290.409805
460.0075720.05870.476713
47-0.076875-0.59550.723116
48-0.046283-0.35850.639389
49-0.017986-0.13930.555167
500.0024940.01930.492325
51-0.06986-0.54110.704791
52-0.001982-0.01540.506101
530.0079170.06130.475651
54-0.015679-0.12140.548129
55-0.018718-0.1450.557397
560.0343380.2660.395582
570.0244690.18950.425156
580.0598720.46380.322245
59NANANA



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = ;
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')