Free Statistics

of Irreproducible Research!

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 computationSat, 13 Dec 2008 06:03:08 -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/13/t122917345015gl1smuevqpuc9.htm/, Retrieved Sat, 18 May 2024 10:45:55 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=33043, Retrieved Sat, 18 May 2024 10:45:55 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsjenske_cole@hotmail.com
Estimated Impact182
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Bivariate Kernel Density Estimation] [Various EDA Topic...] [2008-11-12 13:37:39] [8094ad203a218aaca2d1cea2c78c2d6e]
F    D  [Bivariate Kernel Density Estimation] [opdracht3 blok8 q...] [2008-11-12 17:51:49] [975daa21de49eaf4d491226310243f5a]
- RMPD    [(Partial) Autocorrelation Function] [paper autocorrela...] [2008-12-13 12:15:31] [975daa21de49eaf4d491226310243f5a]
-             [(Partial) Autocorrelation Function] [paper autocorrela...] [2008-12-13 13:03:08] [120dfa2440e51a0cfc0f5296bc5d7460] [Current]
Feedback Forum

Post a new message
Dataseries X:
7.6
7.4
7.3
7.1
6.9
6.8
7.5
7.6
7.8
8
8.1
8.2
8.3
8.2
8
7.9
7.6
7.6
8.2
8.3
8.4
8.4
8.4
8.6
8.9
8.8
8.3
7.5
7.2
7.5
8.8
9.3
9.3
8.7
8.2
8.3
8.5
8.6
8.6
8.2
8.1
8
8.6
8.7
8.8
8.5
8.4
8.5
8.7
8.7
8.6
8.5
8.3
8.1
8.2
8.1
8.1
7.9
7.9
7.9
8
8
7.9
8
7.7
7.2
7.5
7.3
7
7
7
7.2
7.3
7.1
6.8
6.6
6.2
6.2
6.8
6.9
6.8
6.7




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 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 & 3 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=33043&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]3 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=33043&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33043&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 time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.8889028.04940
20.7133476.45960
30.5702895.16421e-06
40.5104664.62257e-06
50.5020534.54639e-06
60.4949334.48181.2e-05
70.4471344.0495.8e-05
80.3747983.39390.000532
90.332023.00660.001753
100.3457883.13120.001206
110.3844963.48180.000401
120.3877173.51090.000364
130.2913962.63870.004979
140.1653831.49760.069038
150.0662910.60030.274983
160.0235960.21370.415668
170.0055390.05020.48006
180.0019250.01740.493069
19-0.023155-0.20970.417219
20-0.067381-0.61020.271722
21-0.094795-0.85840.196585
22-0.088453-0.8010.212731
23-0.073763-0.6680.25302
24-0.073752-0.66790.253051
25-0.131028-1.18650.119423
26-0.195644-1.77160.040085
27-0.248755-2.25260.013479
28-0.266108-2.40970.009102
29-0.268966-2.43560.008518
30-0.270482-2.44930.008221
31-0.280819-2.54290.006436
32-0.300427-2.72050.003979
33-0.306213-2.77290.003438
34-0.291895-2.64320.004918
35-0.27205-2.46350.007925
36-0.252205-2.28380.012484
37-0.263196-2.38330.009734
38-0.267268-2.42020.008861
39-0.264505-2.39520.009445
40-0.250236-2.2660.013044
41-0.26067-2.36050.010313
42-0.288488-2.61240.005346
43-0.332412-3.01010.001735
44-0.359627-3.25660.00082
45-0.350095-3.17020.001071
46-0.311458-2.82040.003007
47-0.259367-2.34870.010624
48-0.216346-1.95910.02675
49-0.201272-1.82260.036005
50-0.185645-1.68110.048275
51-0.161672-1.4640.073509
52-0.137495-1.24510.108326
53-0.144805-1.31130.096714
54-0.163031-1.47630.071846
55-0.183407-1.66080.050284
56-0.178828-1.61940.054605
57-0.146455-1.32620.094227
58-0.105986-0.95970.170002
59-0.064409-0.58320.280665
60-0.023771-0.21530.415051

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.888902 & 8.0494 & 0 \tabularnewline
2 & 0.713347 & 6.4596 & 0 \tabularnewline
3 & 0.570289 & 5.1642 & 1e-06 \tabularnewline
4 & 0.510466 & 4.6225 & 7e-06 \tabularnewline
5 & 0.502053 & 4.5463 & 9e-06 \tabularnewline
6 & 0.494933 & 4.4818 & 1.2e-05 \tabularnewline
7 & 0.447134 & 4.049 & 5.8e-05 \tabularnewline
8 & 0.374798 & 3.3939 & 0.000532 \tabularnewline
9 & 0.33202 & 3.0066 & 0.001753 \tabularnewline
10 & 0.345788 & 3.1312 & 0.001206 \tabularnewline
11 & 0.384496 & 3.4818 & 0.000401 \tabularnewline
12 & 0.387717 & 3.5109 & 0.000364 \tabularnewline
13 & 0.291396 & 2.6387 & 0.004979 \tabularnewline
14 & 0.165383 & 1.4976 & 0.069038 \tabularnewline
15 & 0.066291 & 0.6003 & 0.274983 \tabularnewline
16 & 0.023596 & 0.2137 & 0.415668 \tabularnewline
17 & 0.005539 & 0.0502 & 0.48006 \tabularnewline
18 & 0.001925 & 0.0174 & 0.493069 \tabularnewline
19 & -0.023155 & -0.2097 & 0.417219 \tabularnewline
20 & -0.067381 & -0.6102 & 0.271722 \tabularnewline
21 & -0.094795 & -0.8584 & 0.196585 \tabularnewline
22 & -0.088453 & -0.801 & 0.212731 \tabularnewline
23 & -0.073763 & -0.668 & 0.25302 \tabularnewline
24 & -0.073752 & -0.6679 & 0.253051 \tabularnewline
25 & -0.131028 & -1.1865 & 0.119423 \tabularnewline
26 & -0.195644 & -1.7716 & 0.040085 \tabularnewline
27 & -0.248755 & -2.2526 & 0.013479 \tabularnewline
28 & -0.266108 & -2.4097 & 0.009102 \tabularnewline
29 & -0.268966 & -2.4356 & 0.008518 \tabularnewline
30 & -0.270482 & -2.4493 & 0.008221 \tabularnewline
31 & -0.280819 & -2.5429 & 0.006436 \tabularnewline
32 & -0.300427 & -2.7205 & 0.003979 \tabularnewline
33 & -0.306213 & -2.7729 & 0.003438 \tabularnewline
34 & -0.291895 & -2.6432 & 0.004918 \tabularnewline
35 & -0.27205 & -2.4635 & 0.007925 \tabularnewline
36 & -0.252205 & -2.2838 & 0.012484 \tabularnewline
37 & -0.263196 & -2.3833 & 0.009734 \tabularnewline
38 & -0.267268 & -2.4202 & 0.008861 \tabularnewline
39 & -0.264505 & -2.3952 & 0.009445 \tabularnewline
40 & -0.250236 & -2.266 & 0.013044 \tabularnewline
41 & -0.26067 & -2.3605 & 0.010313 \tabularnewline
42 & -0.288488 & -2.6124 & 0.005346 \tabularnewline
43 & -0.332412 & -3.0101 & 0.001735 \tabularnewline
44 & -0.359627 & -3.2566 & 0.00082 \tabularnewline
45 & -0.350095 & -3.1702 & 0.001071 \tabularnewline
46 & -0.311458 & -2.8204 & 0.003007 \tabularnewline
47 & -0.259367 & -2.3487 & 0.010624 \tabularnewline
48 & -0.216346 & -1.9591 & 0.02675 \tabularnewline
49 & -0.201272 & -1.8226 & 0.036005 \tabularnewline
50 & -0.185645 & -1.6811 & 0.048275 \tabularnewline
51 & -0.161672 & -1.464 & 0.073509 \tabularnewline
52 & -0.137495 & -1.2451 & 0.108326 \tabularnewline
53 & -0.144805 & -1.3113 & 0.096714 \tabularnewline
54 & -0.163031 & -1.4763 & 0.071846 \tabularnewline
55 & -0.183407 & -1.6608 & 0.050284 \tabularnewline
56 & -0.178828 & -1.6194 & 0.054605 \tabularnewline
57 & -0.146455 & -1.3262 & 0.094227 \tabularnewline
58 & -0.105986 & -0.9597 & 0.170002 \tabularnewline
59 & -0.064409 & -0.5832 & 0.280665 \tabularnewline
60 & -0.023771 & -0.2153 & 0.415051 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33043&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]0.888902[/C][C]8.0494[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.713347[/C][C]6.4596[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.570289[/C][C]5.1642[/C][C]1e-06[/C][/ROW]
[ROW][C]4[/C][C]0.510466[/C][C]4.6225[/C][C]7e-06[/C][/ROW]
[ROW][C]5[/C][C]0.502053[/C][C]4.5463[/C][C]9e-06[/C][/ROW]
[ROW][C]6[/C][C]0.494933[/C][C]4.4818[/C][C]1.2e-05[/C][/ROW]
[ROW][C]7[/C][C]0.447134[/C][C]4.049[/C][C]5.8e-05[/C][/ROW]
[ROW][C]8[/C][C]0.374798[/C][C]3.3939[/C][C]0.000532[/C][/ROW]
[ROW][C]9[/C][C]0.33202[/C][C]3.0066[/C][C]0.001753[/C][/ROW]
[ROW][C]10[/C][C]0.345788[/C][C]3.1312[/C][C]0.001206[/C][/ROW]
[ROW][C]11[/C][C]0.384496[/C][C]3.4818[/C][C]0.000401[/C][/ROW]
[ROW][C]12[/C][C]0.387717[/C][C]3.5109[/C][C]0.000364[/C][/ROW]
[ROW][C]13[/C][C]0.291396[/C][C]2.6387[/C][C]0.004979[/C][/ROW]
[ROW][C]14[/C][C]0.165383[/C][C]1.4976[/C][C]0.069038[/C][/ROW]
[ROW][C]15[/C][C]0.066291[/C][C]0.6003[/C][C]0.274983[/C][/ROW]
[ROW][C]16[/C][C]0.023596[/C][C]0.2137[/C][C]0.415668[/C][/ROW]
[ROW][C]17[/C][C]0.005539[/C][C]0.0502[/C][C]0.48006[/C][/ROW]
[ROW][C]18[/C][C]0.001925[/C][C]0.0174[/C][C]0.493069[/C][/ROW]
[ROW][C]19[/C][C]-0.023155[/C][C]-0.2097[/C][C]0.417219[/C][/ROW]
[ROW][C]20[/C][C]-0.067381[/C][C]-0.6102[/C][C]0.271722[/C][/ROW]
[ROW][C]21[/C][C]-0.094795[/C][C]-0.8584[/C][C]0.196585[/C][/ROW]
[ROW][C]22[/C][C]-0.088453[/C][C]-0.801[/C][C]0.212731[/C][/ROW]
[ROW][C]23[/C][C]-0.073763[/C][C]-0.668[/C][C]0.25302[/C][/ROW]
[ROW][C]24[/C][C]-0.073752[/C][C]-0.6679[/C][C]0.253051[/C][/ROW]
[ROW][C]25[/C][C]-0.131028[/C][C]-1.1865[/C][C]0.119423[/C][/ROW]
[ROW][C]26[/C][C]-0.195644[/C][C]-1.7716[/C][C]0.040085[/C][/ROW]
[ROW][C]27[/C][C]-0.248755[/C][C]-2.2526[/C][C]0.013479[/C][/ROW]
[ROW][C]28[/C][C]-0.266108[/C][C]-2.4097[/C][C]0.009102[/C][/ROW]
[ROW][C]29[/C][C]-0.268966[/C][C]-2.4356[/C][C]0.008518[/C][/ROW]
[ROW][C]30[/C][C]-0.270482[/C][C]-2.4493[/C][C]0.008221[/C][/ROW]
[ROW][C]31[/C][C]-0.280819[/C][C]-2.5429[/C][C]0.006436[/C][/ROW]
[ROW][C]32[/C][C]-0.300427[/C][C]-2.7205[/C][C]0.003979[/C][/ROW]
[ROW][C]33[/C][C]-0.306213[/C][C]-2.7729[/C][C]0.003438[/C][/ROW]
[ROW][C]34[/C][C]-0.291895[/C][C]-2.6432[/C][C]0.004918[/C][/ROW]
[ROW][C]35[/C][C]-0.27205[/C][C]-2.4635[/C][C]0.007925[/C][/ROW]
[ROW][C]36[/C][C]-0.252205[/C][C]-2.2838[/C][C]0.012484[/C][/ROW]
[ROW][C]37[/C][C]-0.263196[/C][C]-2.3833[/C][C]0.009734[/C][/ROW]
[ROW][C]38[/C][C]-0.267268[/C][C]-2.4202[/C][C]0.008861[/C][/ROW]
[ROW][C]39[/C][C]-0.264505[/C][C]-2.3952[/C][C]0.009445[/C][/ROW]
[ROW][C]40[/C][C]-0.250236[/C][C]-2.266[/C][C]0.013044[/C][/ROW]
[ROW][C]41[/C][C]-0.26067[/C][C]-2.3605[/C][C]0.010313[/C][/ROW]
[ROW][C]42[/C][C]-0.288488[/C][C]-2.6124[/C][C]0.005346[/C][/ROW]
[ROW][C]43[/C][C]-0.332412[/C][C]-3.0101[/C][C]0.001735[/C][/ROW]
[ROW][C]44[/C][C]-0.359627[/C][C]-3.2566[/C][C]0.00082[/C][/ROW]
[ROW][C]45[/C][C]-0.350095[/C][C]-3.1702[/C][C]0.001071[/C][/ROW]
[ROW][C]46[/C][C]-0.311458[/C][C]-2.8204[/C][C]0.003007[/C][/ROW]
[ROW][C]47[/C][C]-0.259367[/C][C]-2.3487[/C][C]0.010624[/C][/ROW]
[ROW][C]48[/C][C]-0.216346[/C][C]-1.9591[/C][C]0.02675[/C][/ROW]
[ROW][C]49[/C][C]-0.201272[/C][C]-1.8226[/C][C]0.036005[/C][/ROW]
[ROW][C]50[/C][C]-0.185645[/C][C]-1.6811[/C][C]0.048275[/C][/ROW]
[ROW][C]51[/C][C]-0.161672[/C][C]-1.464[/C][C]0.073509[/C][/ROW]
[ROW][C]52[/C][C]-0.137495[/C][C]-1.2451[/C][C]0.108326[/C][/ROW]
[ROW][C]53[/C][C]-0.144805[/C][C]-1.3113[/C][C]0.096714[/C][/ROW]
[ROW][C]54[/C][C]-0.163031[/C][C]-1.4763[/C][C]0.071846[/C][/ROW]
[ROW][C]55[/C][C]-0.183407[/C][C]-1.6608[/C][C]0.050284[/C][/ROW]
[ROW][C]56[/C][C]-0.178828[/C][C]-1.6194[/C][C]0.054605[/C][/ROW]
[ROW][C]57[/C][C]-0.146455[/C][C]-1.3262[/C][C]0.094227[/C][/ROW]
[ROW][C]58[/C][C]-0.105986[/C][C]-0.9597[/C][C]0.170002[/C][/ROW]
[ROW][C]59[/C][C]-0.064409[/C][C]-0.5832[/C][C]0.280665[/C][/ROW]
[ROW][C]60[/C][C]-0.023771[/C][C]-0.2153[/C][C]0.415051[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33043&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33043&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
10.8889028.04940
20.7133476.45960
30.5702895.16421e-06
40.5104664.62257e-06
50.5020534.54639e-06
60.4949334.48181.2e-05
70.4471344.0495.8e-05
80.3747983.39390.000532
90.332023.00660.001753
100.3457883.13120.001206
110.3844963.48180.000401
120.3877173.51090.000364
130.2913962.63870.004979
140.1653831.49760.069038
150.0662910.60030.274983
160.0235960.21370.415668
170.0055390.05020.48006
180.0019250.01740.493069
19-0.023155-0.20970.417219
20-0.067381-0.61020.271722
21-0.094795-0.85840.196585
22-0.088453-0.8010.212731
23-0.073763-0.6680.25302
24-0.073752-0.66790.253051
25-0.131028-1.18650.119423
26-0.195644-1.77160.040085
27-0.248755-2.25260.013479
28-0.266108-2.40970.009102
29-0.268966-2.43560.008518
30-0.270482-2.44930.008221
31-0.280819-2.54290.006436
32-0.300427-2.72050.003979
33-0.306213-2.77290.003438
34-0.291895-2.64320.004918
35-0.27205-2.46350.007925
36-0.252205-2.28380.012484
37-0.263196-2.38330.009734
38-0.267268-2.42020.008861
39-0.264505-2.39520.009445
40-0.250236-2.2660.013044
41-0.26067-2.36050.010313
42-0.288488-2.61240.005346
43-0.332412-3.01010.001735
44-0.359627-3.25660.00082
45-0.350095-3.17020.001071
46-0.311458-2.82040.003007
47-0.259367-2.34870.010624
48-0.216346-1.95910.02675
49-0.201272-1.82260.036005
50-0.185645-1.68110.048275
51-0.161672-1.4640.073509
52-0.137495-1.24510.108326
53-0.144805-1.31130.096714
54-0.163031-1.47630.071846
55-0.183407-1.66080.050284
56-0.178828-1.61940.054605
57-0.146455-1.32620.094227
58-0.105986-0.95970.170002
59-0.064409-0.58320.280665
60-0.023771-0.21530.415051







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.8889028.04940
2-0.365972-3.3140.000685
30.1620151.46710.073086
40.2349362.12740.018194
50.0354510.3210.374504
6-0.013208-0.11960.452543
7-0.095028-0.86050.196007
80.0123880.11220.455478
90.1510141.36750.087604
100.1204031.09030.139389
11-0.001679-0.01520.493955
12-0.112397-1.01780.155884
13-0.338294-3.06340.00148
140.0903350.8180.207857
15-0.043241-0.39160.348198
16-0.070173-0.63540.263453
17-0.10762-0.97450.166328
180.1121741.01580.15636
19-0.023474-0.21260.416095
20-0.03723-0.33710.368441
210.0176890.16020.436566
22-0.011848-0.10730.457411
23-0.047668-0.43170.333562
240.0449720.40720.342446
25-0.150878-1.36630.087797
260.0812860.73610.231892
27-0.096766-0.87630.191726
280.0003590.00330.498707
29-0.029935-0.27110.393508
30-0.097826-0.88590.189144
310.0440240.39870.345593
32-0.033588-0.30420.380891
33-0.008815-0.07980.468285
34-0.031934-0.28920.386589
350.0063840.05780.477019
360.0770030.69730.243795
37-0.077126-0.69840.243451
380.1035730.93790.175528
39-0.018743-0.16970.432823
40-0.073399-0.66470.254068
41-0.13435-1.21660.113626
42-0.097427-0.88220.190114
43-0.103296-0.93540.176168
440.0356140.32250.373947
45-0.007847-0.07110.471762
460.0214140.19390.423363
470.0789190.71460.23843
480.0027930.02530.48994
490.0166560.15080.44024
50-0.002103-0.0190.492427
510.021220.19220.424048
52-0.084664-0.76670.222742
53-0.032501-0.29430.384632
540.0417470.3780.35319
55-0.018846-0.17070.432455
560.0473950.42920.334458
57-0.065611-0.59410.277028
58-0.097663-0.88440.189538
590.0874330.79170.215399
600.0046650.04220.483202

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.888902 & 8.0494 & 0 \tabularnewline
2 & -0.365972 & -3.314 & 0.000685 \tabularnewline
3 & 0.162015 & 1.4671 & 0.073086 \tabularnewline
4 & 0.234936 & 2.1274 & 0.018194 \tabularnewline
5 & 0.035451 & 0.321 & 0.374504 \tabularnewline
6 & -0.013208 & -0.1196 & 0.452543 \tabularnewline
7 & -0.095028 & -0.8605 & 0.196007 \tabularnewline
8 & 0.012388 & 0.1122 & 0.455478 \tabularnewline
9 & 0.151014 & 1.3675 & 0.087604 \tabularnewline
10 & 0.120403 & 1.0903 & 0.139389 \tabularnewline
11 & -0.001679 & -0.0152 & 0.493955 \tabularnewline
12 & -0.112397 & -1.0178 & 0.155884 \tabularnewline
13 & -0.338294 & -3.0634 & 0.00148 \tabularnewline
14 & 0.090335 & 0.818 & 0.207857 \tabularnewline
15 & -0.043241 & -0.3916 & 0.348198 \tabularnewline
16 & -0.070173 & -0.6354 & 0.263453 \tabularnewline
17 & -0.10762 & -0.9745 & 0.166328 \tabularnewline
18 & 0.112174 & 1.0158 & 0.15636 \tabularnewline
19 & -0.023474 & -0.2126 & 0.416095 \tabularnewline
20 & -0.03723 & -0.3371 & 0.368441 \tabularnewline
21 & 0.017689 & 0.1602 & 0.436566 \tabularnewline
22 & -0.011848 & -0.1073 & 0.457411 \tabularnewline
23 & -0.047668 & -0.4317 & 0.333562 \tabularnewline
24 & 0.044972 & 0.4072 & 0.342446 \tabularnewline
25 & -0.150878 & -1.3663 & 0.087797 \tabularnewline
26 & 0.081286 & 0.7361 & 0.231892 \tabularnewline
27 & -0.096766 & -0.8763 & 0.191726 \tabularnewline
28 & 0.000359 & 0.0033 & 0.498707 \tabularnewline
29 & -0.029935 & -0.2711 & 0.393508 \tabularnewline
30 & -0.097826 & -0.8859 & 0.189144 \tabularnewline
31 & 0.044024 & 0.3987 & 0.345593 \tabularnewline
32 & -0.033588 & -0.3042 & 0.380891 \tabularnewline
33 & -0.008815 & -0.0798 & 0.468285 \tabularnewline
34 & -0.031934 & -0.2892 & 0.386589 \tabularnewline
35 & 0.006384 & 0.0578 & 0.477019 \tabularnewline
36 & 0.077003 & 0.6973 & 0.243795 \tabularnewline
37 & -0.077126 & -0.6984 & 0.243451 \tabularnewline
38 & 0.103573 & 0.9379 & 0.175528 \tabularnewline
39 & -0.018743 & -0.1697 & 0.432823 \tabularnewline
40 & -0.073399 & -0.6647 & 0.254068 \tabularnewline
41 & -0.13435 & -1.2166 & 0.113626 \tabularnewline
42 & -0.097427 & -0.8822 & 0.190114 \tabularnewline
43 & -0.103296 & -0.9354 & 0.176168 \tabularnewline
44 & 0.035614 & 0.3225 & 0.373947 \tabularnewline
45 & -0.007847 & -0.0711 & 0.471762 \tabularnewline
46 & 0.021414 & 0.1939 & 0.423363 \tabularnewline
47 & 0.078919 & 0.7146 & 0.23843 \tabularnewline
48 & 0.002793 & 0.0253 & 0.48994 \tabularnewline
49 & 0.016656 & 0.1508 & 0.44024 \tabularnewline
50 & -0.002103 & -0.019 & 0.492427 \tabularnewline
51 & 0.02122 & 0.1922 & 0.424048 \tabularnewline
52 & -0.084664 & -0.7667 & 0.222742 \tabularnewline
53 & -0.032501 & -0.2943 & 0.384632 \tabularnewline
54 & 0.041747 & 0.378 & 0.35319 \tabularnewline
55 & -0.018846 & -0.1707 & 0.432455 \tabularnewline
56 & 0.047395 & 0.4292 & 0.334458 \tabularnewline
57 & -0.065611 & -0.5941 & 0.277028 \tabularnewline
58 & -0.097663 & -0.8844 & 0.189538 \tabularnewline
59 & 0.087433 & 0.7917 & 0.215399 \tabularnewline
60 & 0.004665 & 0.0422 & 0.483202 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33043&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]0.888902[/C][C]8.0494[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.365972[/C][C]-3.314[/C][C]0.000685[/C][/ROW]
[ROW][C]3[/C][C]0.162015[/C][C]1.4671[/C][C]0.073086[/C][/ROW]
[ROW][C]4[/C][C]0.234936[/C][C]2.1274[/C][C]0.018194[/C][/ROW]
[ROW][C]5[/C][C]0.035451[/C][C]0.321[/C][C]0.374504[/C][/ROW]
[ROW][C]6[/C][C]-0.013208[/C][C]-0.1196[/C][C]0.452543[/C][/ROW]
[ROW][C]7[/C][C]-0.095028[/C][C]-0.8605[/C][C]0.196007[/C][/ROW]
[ROW][C]8[/C][C]0.012388[/C][C]0.1122[/C][C]0.455478[/C][/ROW]
[ROW][C]9[/C][C]0.151014[/C][C]1.3675[/C][C]0.087604[/C][/ROW]
[ROW][C]10[/C][C]0.120403[/C][C]1.0903[/C][C]0.139389[/C][/ROW]
[ROW][C]11[/C][C]-0.001679[/C][C]-0.0152[/C][C]0.493955[/C][/ROW]
[ROW][C]12[/C][C]-0.112397[/C][C]-1.0178[/C][C]0.155884[/C][/ROW]
[ROW][C]13[/C][C]-0.338294[/C][C]-3.0634[/C][C]0.00148[/C][/ROW]
[ROW][C]14[/C][C]0.090335[/C][C]0.818[/C][C]0.207857[/C][/ROW]
[ROW][C]15[/C][C]-0.043241[/C][C]-0.3916[/C][C]0.348198[/C][/ROW]
[ROW][C]16[/C][C]-0.070173[/C][C]-0.6354[/C][C]0.263453[/C][/ROW]
[ROW][C]17[/C][C]-0.10762[/C][C]-0.9745[/C][C]0.166328[/C][/ROW]
[ROW][C]18[/C][C]0.112174[/C][C]1.0158[/C][C]0.15636[/C][/ROW]
[ROW][C]19[/C][C]-0.023474[/C][C]-0.2126[/C][C]0.416095[/C][/ROW]
[ROW][C]20[/C][C]-0.03723[/C][C]-0.3371[/C][C]0.368441[/C][/ROW]
[ROW][C]21[/C][C]0.017689[/C][C]0.1602[/C][C]0.436566[/C][/ROW]
[ROW][C]22[/C][C]-0.011848[/C][C]-0.1073[/C][C]0.457411[/C][/ROW]
[ROW][C]23[/C][C]-0.047668[/C][C]-0.4317[/C][C]0.333562[/C][/ROW]
[ROW][C]24[/C][C]0.044972[/C][C]0.4072[/C][C]0.342446[/C][/ROW]
[ROW][C]25[/C][C]-0.150878[/C][C]-1.3663[/C][C]0.087797[/C][/ROW]
[ROW][C]26[/C][C]0.081286[/C][C]0.7361[/C][C]0.231892[/C][/ROW]
[ROW][C]27[/C][C]-0.096766[/C][C]-0.8763[/C][C]0.191726[/C][/ROW]
[ROW][C]28[/C][C]0.000359[/C][C]0.0033[/C][C]0.498707[/C][/ROW]
[ROW][C]29[/C][C]-0.029935[/C][C]-0.2711[/C][C]0.393508[/C][/ROW]
[ROW][C]30[/C][C]-0.097826[/C][C]-0.8859[/C][C]0.189144[/C][/ROW]
[ROW][C]31[/C][C]0.044024[/C][C]0.3987[/C][C]0.345593[/C][/ROW]
[ROW][C]32[/C][C]-0.033588[/C][C]-0.3042[/C][C]0.380891[/C][/ROW]
[ROW][C]33[/C][C]-0.008815[/C][C]-0.0798[/C][C]0.468285[/C][/ROW]
[ROW][C]34[/C][C]-0.031934[/C][C]-0.2892[/C][C]0.386589[/C][/ROW]
[ROW][C]35[/C][C]0.006384[/C][C]0.0578[/C][C]0.477019[/C][/ROW]
[ROW][C]36[/C][C]0.077003[/C][C]0.6973[/C][C]0.243795[/C][/ROW]
[ROW][C]37[/C][C]-0.077126[/C][C]-0.6984[/C][C]0.243451[/C][/ROW]
[ROW][C]38[/C][C]0.103573[/C][C]0.9379[/C][C]0.175528[/C][/ROW]
[ROW][C]39[/C][C]-0.018743[/C][C]-0.1697[/C][C]0.432823[/C][/ROW]
[ROW][C]40[/C][C]-0.073399[/C][C]-0.6647[/C][C]0.254068[/C][/ROW]
[ROW][C]41[/C][C]-0.13435[/C][C]-1.2166[/C][C]0.113626[/C][/ROW]
[ROW][C]42[/C][C]-0.097427[/C][C]-0.8822[/C][C]0.190114[/C][/ROW]
[ROW][C]43[/C][C]-0.103296[/C][C]-0.9354[/C][C]0.176168[/C][/ROW]
[ROW][C]44[/C][C]0.035614[/C][C]0.3225[/C][C]0.373947[/C][/ROW]
[ROW][C]45[/C][C]-0.007847[/C][C]-0.0711[/C][C]0.471762[/C][/ROW]
[ROW][C]46[/C][C]0.021414[/C][C]0.1939[/C][C]0.423363[/C][/ROW]
[ROW][C]47[/C][C]0.078919[/C][C]0.7146[/C][C]0.23843[/C][/ROW]
[ROW][C]48[/C][C]0.002793[/C][C]0.0253[/C][C]0.48994[/C][/ROW]
[ROW][C]49[/C][C]0.016656[/C][C]0.1508[/C][C]0.44024[/C][/ROW]
[ROW][C]50[/C][C]-0.002103[/C][C]-0.019[/C][C]0.492427[/C][/ROW]
[ROW][C]51[/C][C]0.02122[/C][C]0.1922[/C][C]0.424048[/C][/ROW]
[ROW][C]52[/C][C]-0.084664[/C][C]-0.7667[/C][C]0.222742[/C][/ROW]
[ROW][C]53[/C][C]-0.032501[/C][C]-0.2943[/C][C]0.384632[/C][/ROW]
[ROW][C]54[/C][C]0.041747[/C][C]0.378[/C][C]0.35319[/C][/ROW]
[ROW][C]55[/C][C]-0.018846[/C][C]-0.1707[/C][C]0.432455[/C][/ROW]
[ROW][C]56[/C][C]0.047395[/C][C]0.4292[/C][C]0.334458[/C][/ROW]
[ROW][C]57[/C][C]-0.065611[/C][C]-0.5941[/C][C]0.277028[/C][/ROW]
[ROW][C]58[/C][C]-0.097663[/C][C]-0.8844[/C][C]0.189538[/C][/ROW]
[ROW][C]59[/C][C]0.087433[/C][C]0.7917[/C][C]0.215399[/C][/ROW]
[ROW][C]60[/C][C]0.004665[/C][C]0.0422[/C][C]0.483202[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33043&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33043&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
10.8889028.04940
2-0.365972-3.3140.000685
30.1620151.46710.073086
40.2349362.12740.018194
50.0354510.3210.374504
6-0.013208-0.11960.452543
7-0.095028-0.86050.196007
80.0123880.11220.455478
90.1510141.36750.087604
100.1204031.09030.139389
11-0.001679-0.01520.493955
12-0.112397-1.01780.155884
13-0.338294-3.06340.00148
140.0903350.8180.207857
15-0.043241-0.39160.348198
16-0.070173-0.63540.263453
17-0.10762-0.97450.166328
180.1121741.01580.15636
19-0.023474-0.21260.416095
20-0.03723-0.33710.368441
210.0176890.16020.436566
22-0.011848-0.10730.457411
23-0.047668-0.43170.333562
240.0449720.40720.342446
25-0.150878-1.36630.087797
260.0812860.73610.231892
27-0.096766-0.87630.191726
280.0003590.00330.498707
29-0.029935-0.27110.393508
30-0.097826-0.88590.189144
310.0440240.39870.345593
32-0.033588-0.30420.380891
33-0.008815-0.07980.468285
34-0.031934-0.28920.386589
350.0063840.05780.477019
360.0770030.69730.243795
37-0.077126-0.69840.243451
380.1035730.93790.175528
39-0.018743-0.16970.432823
40-0.073399-0.66470.254068
41-0.13435-1.21660.113626
42-0.097427-0.88220.190114
43-0.103296-0.93540.176168
440.0356140.32250.373947
45-0.007847-0.07110.471762
460.0214140.19390.423363
470.0789190.71460.23843
480.0027930.02530.48994
490.0166560.15080.44024
50-0.002103-0.0190.492427
510.021220.19220.424048
52-0.084664-0.76670.222742
53-0.032501-0.29430.384632
540.0417470.3780.35319
55-0.018846-0.17070.432455
560.0473950.42920.334458
57-0.065611-0.59410.277028
58-0.097663-0.88440.189538
590.0874330.79170.215399
600.0046650.04220.483202



Parameters (Session):
par1 = 4 ;
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')