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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationSun, 07 Dec 2008 06:57:05 -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/07/t1228658278lxkbc7rc60321lb.htm/, Retrieved Sun, 19 May 2024 10:41:13 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=29987, Retrieved Sun, 19 May 2024 10:41:13 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact179
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F       [(Partial) Autocorrelation Function] [] [2008-12-07 13:57:05] [d41d8cd98f00b204e9800998ecf8427e] [Current]
Feedback Forum
2008-12-16 15:52:11 [Peter Van Doninck] [reply
Het klopt dat door éénmaal niet seizoenaal te differentiëren de lange termijntrend duidelijk verdwenen is. Verder zijn er geen andere patronen meer te herkennen.

Post a new message
Dataseries X:
132.7
128.6
127.8
128.9
124.6
129.2
130.5
124.3
125.8
123.5
120.7
123.1
122.0
121.0
121.2
117.4
113.0
113.1
116.1
121.3
108.6
114.3
113.5
111.2
109.3
108.2
102.7
110.4
108.1
112.8
108.1
102.6
109.2
108.2
107.1
108.4
103.6
104.0
111.5
105.4
105.5
101.3
103.8
100.3
108.2
105.6
103.0
100.5
104.3
99.1
91.5




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=29987&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=29987&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=29987&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 time2 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.40228-2.84460.003214
2-0.067851-0.47980.316739
30.0248370.17560.430649
4-0.034838-0.24630.403214
5-0.018913-0.13370.447075
60.2214721.5660.061823
7-0.263246-1.86140.034284
80.1165230.82390.206943
9-0.125451-0.88710.189643
100.1623891.14830.128162
110.1532031.08330.141934
12-0.358438-2.53450.007218
130.1648531.16570.124636
14-0.081447-0.57590.283628
15-0.006078-0.0430.482945
160.1928631.36370.089378
17-0.043134-0.3050.380816
18-0.279658-1.97750.026756
190.2624921.85610.034669
20-0.151697-1.07270.144287
210.1330640.94090.175639
22-0.157156-1.11130.135885
230.0274030.19380.423572
240.0268570.18990.425075
25-0.041255-0.29170.385855
260.0410260.29010.386472
270.1515721.07180.144484
28-0.25416-1.79720.039174
290.0672310.47540.318289
300.128560.90910.18384
31-0.149811-1.05930.147271
320.0193580.13690.445836
330.0365760.25860.398491
34-0.011666-0.08250.467293
350.0234360.16570.434524
36-0.000526-0.00370.498522
37-0.032111-0.22710.410652
38-0.011179-0.0790.468654
390.0457340.32340.373875
400.0020430.01440.494266
41-0.028707-0.2030.419985
420.0221650.15670.438045
430.0284710.20130.420632
44-0.056558-0.39990.345456
45-0.00752-0.05320.478902
460.0227060.16060.436545
47-0.030979-0.21910.41375
480.015520.10970.456526

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.40228 & -2.8446 & 0.003214 \tabularnewline
2 & -0.067851 & -0.4798 & 0.316739 \tabularnewline
3 & 0.024837 & 0.1756 & 0.430649 \tabularnewline
4 & -0.034838 & -0.2463 & 0.403214 \tabularnewline
5 & -0.018913 & -0.1337 & 0.447075 \tabularnewline
6 & 0.221472 & 1.566 & 0.061823 \tabularnewline
7 & -0.263246 & -1.8614 & 0.034284 \tabularnewline
8 & 0.116523 & 0.8239 & 0.206943 \tabularnewline
9 & -0.125451 & -0.8871 & 0.189643 \tabularnewline
10 & 0.162389 & 1.1483 & 0.128162 \tabularnewline
11 & 0.153203 & 1.0833 & 0.141934 \tabularnewline
12 & -0.358438 & -2.5345 & 0.007218 \tabularnewline
13 & 0.164853 & 1.1657 & 0.124636 \tabularnewline
14 & -0.081447 & -0.5759 & 0.283628 \tabularnewline
15 & -0.006078 & -0.043 & 0.482945 \tabularnewline
16 & 0.192863 & 1.3637 & 0.089378 \tabularnewline
17 & -0.043134 & -0.305 & 0.380816 \tabularnewline
18 & -0.279658 & -1.9775 & 0.026756 \tabularnewline
19 & 0.262492 & 1.8561 & 0.034669 \tabularnewline
20 & -0.151697 & -1.0727 & 0.144287 \tabularnewline
21 & 0.133064 & 0.9409 & 0.175639 \tabularnewline
22 & -0.157156 & -1.1113 & 0.135885 \tabularnewline
23 & 0.027403 & 0.1938 & 0.423572 \tabularnewline
24 & 0.026857 & 0.1899 & 0.425075 \tabularnewline
25 & -0.041255 & -0.2917 & 0.385855 \tabularnewline
26 & 0.041026 & 0.2901 & 0.386472 \tabularnewline
27 & 0.151572 & 1.0718 & 0.144484 \tabularnewline
28 & -0.25416 & -1.7972 & 0.039174 \tabularnewline
29 & 0.067231 & 0.4754 & 0.318289 \tabularnewline
30 & 0.12856 & 0.9091 & 0.18384 \tabularnewline
31 & -0.149811 & -1.0593 & 0.147271 \tabularnewline
32 & 0.019358 & 0.1369 & 0.445836 \tabularnewline
33 & 0.036576 & 0.2586 & 0.398491 \tabularnewline
34 & -0.011666 & -0.0825 & 0.467293 \tabularnewline
35 & 0.023436 & 0.1657 & 0.434524 \tabularnewline
36 & -0.000526 & -0.0037 & 0.498522 \tabularnewline
37 & -0.032111 & -0.2271 & 0.410652 \tabularnewline
38 & -0.011179 & -0.079 & 0.468654 \tabularnewline
39 & 0.045734 & 0.3234 & 0.373875 \tabularnewline
40 & 0.002043 & 0.0144 & 0.494266 \tabularnewline
41 & -0.028707 & -0.203 & 0.419985 \tabularnewline
42 & 0.022165 & 0.1567 & 0.438045 \tabularnewline
43 & 0.028471 & 0.2013 & 0.420632 \tabularnewline
44 & -0.056558 & -0.3999 & 0.345456 \tabularnewline
45 & -0.00752 & -0.0532 & 0.478902 \tabularnewline
46 & 0.022706 & 0.1606 & 0.436545 \tabularnewline
47 & -0.030979 & -0.2191 & 0.41375 \tabularnewline
48 & 0.01552 & 0.1097 & 0.456526 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=29987&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]-0.40228[/C][C]-2.8446[/C][C]0.003214[/C][/ROW]
[ROW][C]2[/C][C]-0.067851[/C][C]-0.4798[/C][C]0.316739[/C][/ROW]
[ROW][C]3[/C][C]0.024837[/C][C]0.1756[/C][C]0.430649[/C][/ROW]
[ROW][C]4[/C][C]-0.034838[/C][C]-0.2463[/C][C]0.403214[/C][/ROW]
[ROW][C]5[/C][C]-0.018913[/C][C]-0.1337[/C][C]0.447075[/C][/ROW]
[ROW][C]6[/C][C]0.221472[/C][C]1.566[/C][C]0.061823[/C][/ROW]
[ROW][C]7[/C][C]-0.263246[/C][C]-1.8614[/C][C]0.034284[/C][/ROW]
[ROW][C]8[/C][C]0.116523[/C][C]0.8239[/C][C]0.206943[/C][/ROW]
[ROW][C]9[/C][C]-0.125451[/C][C]-0.8871[/C][C]0.189643[/C][/ROW]
[ROW][C]10[/C][C]0.162389[/C][C]1.1483[/C][C]0.128162[/C][/ROW]
[ROW][C]11[/C][C]0.153203[/C][C]1.0833[/C][C]0.141934[/C][/ROW]
[ROW][C]12[/C][C]-0.358438[/C][C]-2.5345[/C][C]0.007218[/C][/ROW]
[ROW][C]13[/C][C]0.164853[/C][C]1.1657[/C][C]0.124636[/C][/ROW]
[ROW][C]14[/C][C]-0.081447[/C][C]-0.5759[/C][C]0.283628[/C][/ROW]
[ROW][C]15[/C][C]-0.006078[/C][C]-0.043[/C][C]0.482945[/C][/ROW]
[ROW][C]16[/C][C]0.192863[/C][C]1.3637[/C][C]0.089378[/C][/ROW]
[ROW][C]17[/C][C]-0.043134[/C][C]-0.305[/C][C]0.380816[/C][/ROW]
[ROW][C]18[/C][C]-0.279658[/C][C]-1.9775[/C][C]0.026756[/C][/ROW]
[ROW][C]19[/C][C]0.262492[/C][C]1.8561[/C][C]0.034669[/C][/ROW]
[ROW][C]20[/C][C]-0.151697[/C][C]-1.0727[/C][C]0.144287[/C][/ROW]
[ROW][C]21[/C][C]0.133064[/C][C]0.9409[/C][C]0.175639[/C][/ROW]
[ROW][C]22[/C][C]-0.157156[/C][C]-1.1113[/C][C]0.135885[/C][/ROW]
[ROW][C]23[/C][C]0.027403[/C][C]0.1938[/C][C]0.423572[/C][/ROW]
[ROW][C]24[/C][C]0.026857[/C][C]0.1899[/C][C]0.425075[/C][/ROW]
[ROW][C]25[/C][C]-0.041255[/C][C]-0.2917[/C][C]0.385855[/C][/ROW]
[ROW][C]26[/C][C]0.041026[/C][C]0.2901[/C][C]0.386472[/C][/ROW]
[ROW][C]27[/C][C]0.151572[/C][C]1.0718[/C][C]0.144484[/C][/ROW]
[ROW][C]28[/C][C]-0.25416[/C][C]-1.7972[/C][C]0.039174[/C][/ROW]
[ROW][C]29[/C][C]0.067231[/C][C]0.4754[/C][C]0.318289[/C][/ROW]
[ROW][C]30[/C][C]0.12856[/C][C]0.9091[/C][C]0.18384[/C][/ROW]
[ROW][C]31[/C][C]-0.149811[/C][C]-1.0593[/C][C]0.147271[/C][/ROW]
[ROW][C]32[/C][C]0.019358[/C][C]0.1369[/C][C]0.445836[/C][/ROW]
[ROW][C]33[/C][C]0.036576[/C][C]0.2586[/C][C]0.398491[/C][/ROW]
[ROW][C]34[/C][C]-0.011666[/C][C]-0.0825[/C][C]0.467293[/C][/ROW]
[ROW][C]35[/C][C]0.023436[/C][C]0.1657[/C][C]0.434524[/C][/ROW]
[ROW][C]36[/C][C]-0.000526[/C][C]-0.0037[/C][C]0.498522[/C][/ROW]
[ROW][C]37[/C][C]-0.032111[/C][C]-0.2271[/C][C]0.410652[/C][/ROW]
[ROW][C]38[/C][C]-0.011179[/C][C]-0.079[/C][C]0.468654[/C][/ROW]
[ROW][C]39[/C][C]0.045734[/C][C]0.3234[/C][C]0.373875[/C][/ROW]
[ROW][C]40[/C][C]0.002043[/C][C]0.0144[/C][C]0.494266[/C][/ROW]
[ROW][C]41[/C][C]-0.028707[/C][C]-0.203[/C][C]0.419985[/C][/ROW]
[ROW][C]42[/C][C]0.022165[/C][C]0.1567[/C][C]0.438045[/C][/ROW]
[ROW][C]43[/C][C]0.028471[/C][C]0.2013[/C][C]0.420632[/C][/ROW]
[ROW][C]44[/C][C]-0.056558[/C][C]-0.3999[/C][C]0.345456[/C][/ROW]
[ROW][C]45[/C][C]-0.00752[/C][C]-0.0532[/C][C]0.478902[/C][/ROW]
[ROW][C]46[/C][C]0.022706[/C][C]0.1606[/C][C]0.436545[/C][/ROW]
[ROW][C]47[/C][C]-0.030979[/C][C]-0.2191[/C][C]0.41375[/C][/ROW]
[ROW][C]48[/C][C]0.01552[/C][C]0.1097[/C][C]0.456526[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=29987&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=29987&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
1-0.40228-2.84460.003214
2-0.067851-0.47980.316739
30.0248370.17560.430649
4-0.034838-0.24630.403214
5-0.018913-0.13370.447075
60.2214721.5660.061823
7-0.263246-1.86140.034284
80.1165230.82390.206943
9-0.125451-0.88710.189643
100.1623891.14830.128162
110.1532031.08330.141934
12-0.358438-2.53450.007218
130.1648531.16570.124636
14-0.081447-0.57590.283628
15-0.006078-0.0430.482945
160.1928631.36370.089378
17-0.043134-0.3050.380816
18-0.279658-1.97750.026756
190.2624921.85610.034669
20-0.151697-1.07270.144287
210.1330640.94090.175639
22-0.157156-1.11130.135885
230.0274030.19380.423572
240.0268570.18990.425075
25-0.041255-0.29170.385855
260.0410260.29010.386472
270.1515721.07180.144484
28-0.25416-1.79720.039174
290.0672310.47540.318289
300.128560.90910.18384
31-0.149811-1.05930.147271
320.0193580.13690.445836
330.0365760.25860.398491
34-0.011666-0.08250.467293
350.0234360.16570.434524
36-0.000526-0.00370.498522
37-0.032111-0.22710.410652
38-0.011179-0.0790.468654
390.0457340.32340.373875
400.0020430.01440.494266
41-0.028707-0.2030.419985
420.0221650.15670.438045
430.0284710.20130.420632
44-0.056558-0.39990.345456
45-0.00752-0.05320.478902
460.0227060.16060.436545
47-0.030979-0.21910.41375
480.015520.10970.456526







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.40228-2.84460.003214
2-0.274026-1.93770.029162
3-0.155015-1.09610.139139
4-0.141945-1.00370.160177
5-0.137522-0.97240.167759
60.1812861.28190.102898
7-0.110773-0.78330.218577
80.0205910.14560.44241
9-0.170746-1.20740.116488
100.0785620.55550.290508
110.3059822.16360.017649
12-0.234137-1.65560.052034
130.0908160.64220.261849
14-0.21124-1.49370.07077
15-0.019918-0.14080.44428
160.0948460.67070.252761
170.0500010.35360.362576
18-0.085508-0.60460.274078
19-0.053749-0.38010.352754
20-0.031852-0.22520.41136
21-0.075432-0.53340.298065
22-0.17922-1.26730.105464
23-0.003061-0.02160.491409
24-0.030484-0.21560.415106
25-0.110087-0.77840.21999
26-0.078579-0.55560.290468
270.0632770.44740.328247
280.0550410.38920.34939
29-0.056778-0.40150.344888
300.0747730.52870.299669
31-0.024659-0.17440.431142
32-0.200546-1.41810.081186
330.0191480.13540.44642
34-0.008777-0.06210.475381
350.0687350.4860.314536
36-0.079554-0.56250.288134
37-0.07156-0.5060.307538
38-0.058796-0.41580.339685
390.0939370.66420.254797
40-0.092081-0.65110.258977
410.0177750.12570.450243
420.069780.49340.311938
43-0.07528-0.53230.298435
44-0.0787-0.55650.290179
45-0.101597-0.71840.237928
46-0.065077-0.46020.323697
47-0.044185-0.31240.378004
480.0596270.42160.337553

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.40228 & -2.8446 & 0.003214 \tabularnewline
2 & -0.274026 & -1.9377 & 0.029162 \tabularnewline
3 & -0.155015 & -1.0961 & 0.139139 \tabularnewline
4 & -0.141945 & -1.0037 & 0.160177 \tabularnewline
5 & -0.137522 & -0.9724 & 0.167759 \tabularnewline
6 & 0.181286 & 1.2819 & 0.102898 \tabularnewline
7 & -0.110773 & -0.7833 & 0.218577 \tabularnewline
8 & 0.020591 & 0.1456 & 0.44241 \tabularnewline
9 & -0.170746 & -1.2074 & 0.116488 \tabularnewline
10 & 0.078562 & 0.5555 & 0.290508 \tabularnewline
11 & 0.305982 & 2.1636 & 0.017649 \tabularnewline
12 & -0.234137 & -1.6556 & 0.052034 \tabularnewline
13 & 0.090816 & 0.6422 & 0.261849 \tabularnewline
14 & -0.21124 & -1.4937 & 0.07077 \tabularnewline
15 & -0.019918 & -0.1408 & 0.44428 \tabularnewline
16 & 0.094846 & 0.6707 & 0.252761 \tabularnewline
17 & 0.050001 & 0.3536 & 0.362576 \tabularnewline
18 & -0.085508 & -0.6046 & 0.274078 \tabularnewline
19 & -0.053749 & -0.3801 & 0.352754 \tabularnewline
20 & -0.031852 & -0.2252 & 0.41136 \tabularnewline
21 & -0.075432 & -0.5334 & 0.298065 \tabularnewline
22 & -0.17922 & -1.2673 & 0.105464 \tabularnewline
23 & -0.003061 & -0.0216 & 0.491409 \tabularnewline
24 & -0.030484 & -0.2156 & 0.415106 \tabularnewline
25 & -0.110087 & -0.7784 & 0.21999 \tabularnewline
26 & -0.078579 & -0.5556 & 0.290468 \tabularnewline
27 & 0.063277 & 0.4474 & 0.328247 \tabularnewline
28 & 0.055041 & 0.3892 & 0.34939 \tabularnewline
29 & -0.056778 & -0.4015 & 0.344888 \tabularnewline
30 & 0.074773 & 0.5287 & 0.299669 \tabularnewline
31 & -0.024659 & -0.1744 & 0.431142 \tabularnewline
32 & -0.200546 & -1.4181 & 0.081186 \tabularnewline
33 & 0.019148 & 0.1354 & 0.44642 \tabularnewline
34 & -0.008777 & -0.0621 & 0.475381 \tabularnewline
35 & 0.068735 & 0.486 & 0.314536 \tabularnewline
36 & -0.079554 & -0.5625 & 0.288134 \tabularnewline
37 & -0.07156 & -0.506 & 0.307538 \tabularnewline
38 & -0.058796 & -0.4158 & 0.339685 \tabularnewline
39 & 0.093937 & 0.6642 & 0.254797 \tabularnewline
40 & -0.092081 & -0.6511 & 0.258977 \tabularnewline
41 & 0.017775 & 0.1257 & 0.450243 \tabularnewline
42 & 0.06978 & 0.4934 & 0.311938 \tabularnewline
43 & -0.07528 & -0.5323 & 0.298435 \tabularnewline
44 & -0.0787 & -0.5565 & 0.290179 \tabularnewline
45 & -0.101597 & -0.7184 & 0.237928 \tabularnewline
46 & -0.065077 & -0.4602 & 0.323697 \tabularnewline
47 & -0.044185 & -0.3124 & 0.378004 \tabularnewline
48 & 0.059627 & 0.4216 & 0.337553 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=29987&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]-0.40228[/C][C]-2.8446[/C][C]0.003214[/C][/ROW]
[ROW][C]2[/C][C]-0.274026[/C][C]-1.9377[/C][C]0.029162[/C][/ROW]
[ROW][C]3[/C][C]-0.155015[/C][C]-1.0961[/C][C]0.139139[/C][/ROW]
[ROW][C]4[/C][C]-0.141945[/C][C]-1.0037[/C][C]0.160177[/C][/ROW]
[ROW][C]5[/C][C]-0.137522[/C][C]-0.9724[/C][C]0.167759[/C][/ROW]
[ROW][C]6[/C][C]0.181286[/C][C]1.2819[/C][C]0.102898[/C][/ROW]
[ROW][C]7[/C][C]-0.110773[/C][C]-0.7833[/C][C]0.218577[/C][/ROW]
[ROW][C]8[/C][C]0.020591[/C][C]0.1456[/C][C]0.44241[/C][/ROW]
[ROW][C]9[/C][C]-0.170746[/C][C]-1.2074[/C][C]0.116488[/C][/ROW]
[ROW][C]10[/C][C]0.078562[/C][C]0.5555[/C][C]0.290508[/C][/ROW]
[ROW][C]11[/C][C]0.305982[/C][C]2.1636[/C][C]0.017649[/C][/ROW]
[ROW][C]12[/C][C]-0.234137[/C][C]-1.6556[/C][C]0.052034[/C][/ROW]
[ROW][C]13[/C][C]0.090816[/C][C]0.6422[/C][C]0.261849[/C][/ROW]
[ROW][C]14[/C][C]-0.21124[/C][C]-1.4937[/C][C]0.07077[/C][/ROW]
[ROW][C]15[/C][C]-0.019918[/C][C]-0.1408[/C][C]0.44428[/C][/ROW]
[ROW][C]16[/C][C]0.094846[/C][C]0.6707[/C][C]0.252761[/C][/ROW]
[ROW][C]17[/C][C]0.050001[/C][C]0.3536[/C][C]0.362576[/C][/ROW]
[ROW][C]18[/C][C]-0.085508[/C][C]-0.6046[/C][C]0.274078[/C][/ROW]
[ROW][C]19[/C][C]-0.053749[/C][C]-0.3801[/C][C]0.352754[/C][/ROW]
[ROW][C]20[/C][C]-0.031852[/C][C]-0.2252[/C][C]0.41136[/C][/ROW]
[ROW][C]21[/C][C]-0.075432[/C][C]-0.5334[/C][C]0.298065[/C][/ROW]
[ROW][C]22[/C][C]-0.17922[/C][C]-1.2673[/C][C]0.105464[/C][/ROW]
[ROW][C]23[/C][C]-0.003061[/C][C]-0.0216[/C][C]0.491409[/C][/ROW]
[ROW][C]24[/C][C]-0.030484[/C][C]-0.2156[/C][C]0.415106[/C][/ROW]
[ROW][C]25[/C][C]-0.110087[/C][C]-0.7784[/C][C]0.21999[/C][/ROW]
[ROW][C]26[/C][C]-0.078579[/C][C]-0.5556[/C][C]0.290468[/C][/ROW]
[ROW][C]27[/C][C]0.063277[/C][C]0.4474[/C][C]0.328247[/C][/ROW]
[ROW][C]28[/C][C]0.055041[/C][C]0.3892[/C][C]0.34939[/C][/ROW]
[ROW][C]29[/C][C]-0.056778[/C][C]-0.4015[/C][C]0.344888[/C][/ROW]
[ROW][C]30[/C][C]0.074773[/C][C]0.5287[/C][C]0.299669[/C][/ROW]
[ROW][C]31[/C][C]-0.024659[/C][C]-0.1744[/C][C]0.431142[/C][/ROW]
[ROW][C]32[/C][C]-0.200546[/C][C]-1.4181[/C][C]0.081186[/C][/ROW]
[ROW][C]33[/C][C]0.019148[/C][C]0.1354[/C][C]0.44642[/C][/ROW]
[ROW][C]34[/C][C]-0.008777[/C][C]-0.0621[/C][C]0.475381[/C][/ROW]
[ROW][C]35[/C][C]0.068735[/C][C]0.486[/C][C]0.314536[/C][/ROW]
[ROW][C]36[/C][C]-0.079554[/C][C]-0.5625[/C][C]0.288134[/C][/ROW]
[ROW][C]37[/C][C]-0.07156[/C][C]-0.506[/C][C]0.307538[/C][/ROW]
[ROW][C]38[/C][C]-0.058796[/C][C]-0.4158[/C][C]0.339685[/C][/ROW]
[ROW][C]39[/C][C]0.093937[/C][C]0.6642[/C][C]0.254797[/C][/ROW]
[ROW][C]40[/C][C]-0.092081[/C][C]-0.6511[/C][C]0.258977[/C][/ROW]
[ROW][C]41[/C][C]0.017775[/C][C]0.1257[/C][C]0.450243[/C][/ROW]
[ROW][C]42[/C][C]0.06978[/C][C]0.4934[/C][C]0.311938[/C][/ROW]
[ROW][C]43[/C][C]-0.07528[/C][C]-0.5323[/C][C]0.298435[/C][/ROW]
[ROW][C]44[/C][C]-0.0787[/C][C]-0.5565[/C][C]0.290179[/C][/ROW]
[ROW][C]45[/C][C]-0.101597[/C][C]-0.7184[/C][C]0.237928[/C][/ROW]
[ROW][C]46[/C][C]-0.065077[/C][C]-0.4602[/C][C]0.323697[/C][/ROW]
[ROW][C]47[/C][C]-0.044185[/C][C]-0.3124[/C][C]0.378004[/C][/ROW]
[ROW][C]48[/C][C]0.059627[/C][C]0.4216[/C][C]0.337553[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=29987&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=29987&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
1-0.40228-2.84460.003214
2-0.274026-1.93770.029162
3-0.155015-1.09610.139139
4-0.141945-1.00370.160177
5-0.137522-0.97240.167759
60.1812861.28190.102898
7-0.110773-0.78330.218577
80.0205910.14560.44241
9-0.170746-1.20740.116488
100.0785620.55550.290508
110.3059822.16360.017649
12-0.234137-1.65560.052034
130.0908160.64220.261849
14-0.21124-1.49370.07077
15-0.019918-0.14080.44428
160.0948460.67070.252761
170.0500010.35360.362576
18-0.085508-0.60460.274078
19-0.053749-0.38010.352754
20-0.031852-0.22520.41136
21-0.075432-0.53340.298065
22-0.17922-1.26730.105464
23-0.003061-0.02160.491409
24-0.030484-0.21560.415106
25-0.110087-0.77840.21999
26-0.078579-0.55560.290468
270.0632770.44740.328247
280.0550410.38920.34939
29-0.056778-0.40150.344888
300.0747730.52870.299669
31-0.024659-0.17440.431142
32-0.200546-1.41810.081186
330.0191480.13540.44642
34-0.008777-0.06210.475381
350.0687350.4860.314536
36-0.079554-0.56250.288134
37-0.07156-0.5060.307538
38-0.058796-0.41580.339685
390.0939370.66420.254797
40-0.092081-0.65110.258977
410.0177750.12570.450243
420.069780.49340.311938
43-0.07528-0.53230.298435
44-0.0787-0.55650.290179
45-0.101597-0.71840.237928
46-0.065077-0.46020.323697
47-0.044185-0.31240.378004
480.0596270.42160.337553



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; 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 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')