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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationFri, 18 Nov 2011 05:30:14 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Nov/18/t1321612281kuyu1ufqa104gdo.htm/, Retrieved Thu, 28 Mar 2024 21:22:13 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=145415, Retrieved Thu, 28 Mar 2024 21:22:13 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP2W12
Estimated Impact133
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Eigen reeks] [2011-11-18 10:30:14] [23c029da43917b1445ec911a9179ae8a] [Current]
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Dataseries X:
589,85
589,85
589,85
589,85
589,85
589,85
589,85
589,85
589,85
599,12
599,12
599,12
599
599
599
599
599
599
599
599
599
617,06
617,06
617,06
617,06
617,06
617,06
617,06
617,06
617,06
617,06
617,06
617,06
628,18
628,18
628,18
628,18
628,18
628,18
628,18
628,18
628,18
628,18
628,18
628,18
641,08
641,08
641,08
641,08
641,08
641,08
641,08
641,08
641,08
641,08
641,08
641,08
668,21
668,21
668,21
668,21
668,21
668,21
668,21
668,21
668,21
668,21
668,21
668,21
665,27
665,27
665,27




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net

\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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=145415&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=145415&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=145415&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'Gwilym Jenkins' @ jenkins.wessa.net







Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.059443-0.50090.309003
2-0.060269-0.50780.306572
3-0.064193-0.54090.295134
4-0.064205-0.5410.2951
5-0.065031-0.5480.29272
6-0.065856-0.55490.290348
7-0.066682-0.56190.287986
8-0.067508-0.56880.285634
9-0.062714-0.52840.299422
10-0.061954-0.5220.301636
11-0.06278-0.5290.299231
120.5083974.28382.8e-05
13-0.064524-0.54370.294179
14-0.06535-0.55060.291803
15-0.045089-0.37990.352566
16-0.045915-0.38690.349999
17-0.04674-0.39380.347439
18-0.047566-0.40080.344886
19-0.048392-0.40780.34234
20-0.049217-0.41470.339801
21-0.036983-0.31160.378121
22-0.036832-0.31040.378601
23-0.037658-0.31730.37597
240.4003833.37370.000602
25-0.039309-0.33120.370726
26-0.040134-0.33820.368113
27-0.030934-0.26070.397557
28-0.031759-0.26760.394888
29-0.032585-0.27460.392223
30-0.033411-0.28150.389564
31-0.034236-0.28850.38691
32-0.035062-0.29540.384261
33-0.028377-0.23910.405854
34-0.02807-0.23650.406853
35-0.028896-0.24350.404167
360.3923473.3060.000743
37-0.030547-0.25740.398809
38-0.031373-0.26440.396137
39-0.023556-0.19850.421617
40-0.024381-0.20540.418908
41-0.025207-0.21240.416203
42-0.026033-0.21940.413502
43-0.026858-0.22630.410805
44-0.027684-0.23330.408112
45-0.020865-0.17580.43047
46-0.019309-0.16270.435609
47-0.020135-0.16970.432881
480.1242021.04650.14943

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.059443 & -0.5009 & 0.309003 \tabularnewline
2 & -0.060269 & -0.5078 & 0.306572 \tabularnewline
3 & -0.064193 & -0.5409 & 0.295134 \tabularnewline
4 & -0.064205 & -0.541 & 0.2951 \tabularnewline
5 & -0.065031 & -0.548 & 0.29272 \tabularnewline
6 & -0.065856 & -0.5549 & 0.290348 \tabularnewline
7 & -0.066682 & -0.5619 & 0.287986 \tabularnewline
8 & -0.067508 & -0.5688 & 0.285634 \tabularnewline
9 & -0.062714 & -0.5284 & 0.299422 \tabularnewline
10 & -0.061954 & -0.522 & 0.301636 \tabularnewline
11 & -0.06278 & -0.529 & 0.299231 \tabularnewline
12 & 0.508397 & 4.2838 & 2.8e-05 \tabularnewline
13 & -0.064524 & -0.5437 & 0.294179 \tabularnewline
14 & -0.06535 & -0.5506 & 0.291803 \tabularnewline
15 & -0.045089 & -0.3799 & 0.352566 \tabularnewline
16 & -0.045915 & -0.3869 & 0.349999 \tabularnewline
17 & -0.04674 & -0.3938 & 0.347439 \tabularnewline
18 & -0.047566 & -0.4008 & 0.344886 \tabularnewline
19 & -0.048392 & -0.4078 & 0.34234 \tabularnewline
20 & -0.049217 & -0.4147 & 0.339801 \tabularnewline
21 & -0.036983 & -0.3116 & 0.378121 \tabularnewline
22 & -0.036832 & -0.3104 & 0.378601 \tabularnewline
23 & -0.037658 & -0.3173 & 0.37597 \tabularnewline
24 & 0.400383 & 3.3737 & 0.000602 \tabularnewline
25 & -0.039309 & -0.3312 & 0.370726 \tabularnewline
26 & -0.040134 & -0.3382 & 0.368113 \tabularnewline
27 & -0.030934 & -0.2607 & 0.397557 \tabularnewline
28 & -0.031759 & -0.2676 & 0.394888 \tabularnewline
29 & -0.032585 & -0.2746 & 0.392223 \tabularnewline
30 & -0.033411 & -0.2815 & 0.389564 \tabularnewline
31 & -0.034236 & -0.2885 & 0.38691 \tabularnewline
32 & -0.035062 & -0.2954 & 0.384261 \tabularnewline
33 & -0.028377 & -0.2391 & 0.405854 \tabularnewline
34 & -0.02807 & -0.2365 & 0.406853 \tabularnewline
35 & -0.028896 & -0.2435 & 0.404167 \tabularnewline
36 & 0.392347 & 3.306 & 0.000743 \tabularnewline
37 & -0.030547 & -0.2574 & 0.398809 \tabularnewline
38 & -0.031373 & -0.2644 & 0.396137 \tabularnewline
39 & -0.023556 & -0.1985 & 0.421617 \tabularnewline
40 & -0.024381 & -0.2054 & 0.418908 \tabularnewline
41 & -0.025207 & -0.2124 & 0.416203 \tabularnewline
42 & -0.026033 & -0.2194 & 0.413502 \tabularnewline
43 & -0.026858 & -0.2263 & 0.410805 \tabularnewline
44 & -0.027684 & -0.2333 & 0.408112 \tabularnewline
45 & -0.020865 & -0.1758 & 0.43047 \tabularnewline
46 & -0.019309 & -0.1627 & 0.435609 \tabularnewline
47 & -0.020135 & -0.1697 & 0.432881 \tabularnewline
48 & 0.124202 & 1.0465 & 0.14943 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=145415&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]-0.059443[/C][C]-0.5009[/C][C]0.309003[/C][/ROW]
[ROW][C]2[/C][C]-0.060269[/C][C]-0.5078[/C][C]0.306572[/C][/ROW]
[ROW][C]3[/C][C]-0.064193[/C][C]-0.5409[/C][C]0.295134[/C][/ROW]
[ROW][C]4[/C][C]-0.064205[/C][C]-0.541[/C][C]0.2951[/C][/ROW]
[ROW][C]5[/C][C]-0.065031[/C][C]-0.548[/C][C]0.29272[/C][/ROW]
[ROW][C]6[/C][C]-0.065856[/C][C]-0.5549[/C][C]0.290348[/C][/ROW]
[ROW][C]7[/C][C]-0.066682[/C][C]-0.5619[/C][C]0.287986[/C][/ROW]
[ROW][C]8[/C][C]-0.067508[/C][C]-0.5688[/C][C]0.285634[/C][/ROW]
[ROW][C]9[/C][C]-0.062714[/C][C]-0.5284[/C][C]0.299422[/C][/ROW]
[ROW][C]10[/C][C]-0.061954[/C][C]-0.522[/C][C]0.301636[/C][/ROW]
[ROW][C]11[/C][C]-0.06278[/C][C]-0.529[/C][C]0.299231[/C][/ROW]
[ROW][C]12[/C][C]0.508397[/C][C]4.2838[/C][C]2.8e-05[/C][/ROW]
[ROW][C]13[/C][C]-0.064524[/C][C]-0.5437[/C][C]0.294179[/C][/ROW]
[ROW][C]14[/C][C]-0.06535[/C][C]-0.5506[/C][C]0.291803[/C][/ROW]
[ROW][C]15[/C][C]-0.045089[/C][C]-0.3799[/C][C]0.352566[/C][/ROW]
[ROW][C]16[/C][C]-0.045915[/C][C]-0.3869[/C][C]0.349999[/C][/ROW]
[ROW][C]17[/C][C]-0.04674[/C][C]-0.3938[/C][C]0.347439[/C][/ROW]
[ROW][C]18[/C][C]-0.047566[/C][C]-0.4008[/C][C]0.344886[/C][/ROW]
[ROW][C]19[/C][C]-0.048392[/C][C]-0.4078[/C][C]0.34234[/C][/ROW]
[ROW][C]20[/C][C]-0.049217[/C][C]-0.4147[/C][C]0.339801[/C][/ROW]
[ROW][C]21[/C][C]-0.036983[/C][C]-0.3116[/C][C]0.378121[/C][/ROW]
[ROW][C]22[/C][C]-0.036832[/C][C]-0.3104[/C][C]0.378601[/C][/ROW]
[ROW][C]23[/C][C]-0.037658[/C][C]-0.3173[/C][C]0.37597[/C][/ROW]
[ROW][C]24[/C][C]0.400383[/C][C]3.3737[/C][C]0.000602[/C][/ROW]
[ROW][C]25[/C][C]-0.039309[/C][C]-0.3312[/C][C]0.370726[/C][/ROW]
[ROW][C]26[/C][C]-0.040134[/C][C]-0.3382[/C][C]0.368113[/C][/ROW]
[ROW][C]27[/C][C]-0.030934[/C][C]-0.2607[/C][C]0.397557[/C][/ROW]
[ROW][C]28[/C][C]-0.031759[/C][C]-0.2676[/C][C]0.394888[/C][/ROW]
[ROW][C]29[/C][C]-0.032585[/C][C]-0.2746[/C][C]0.392223[/C][/ROW]
[ROW][C]30[/C][C]-0.033411[/C][C]-0.2815[/C][C]0.389564[/C][/ROW]
[ROW][C]31[/C][C]-0.034236[/C][C]-0.2885[/C][C]0.38691[/C][/ROW]
[ROW][C]32[/C][C]-0.035062[/C][C]-0.2954[/C][C]0.384261[/C][/ROW]
[ROW][C]33[/C][C]-0.028377[/C][C]-0.2391[/C][C]0.405854[/C][/ROW]
[ROW][C]34[/C][C]-0.02807[/C][C]-0.2365[/C][C]0.406853[/C][/ROW]
[ROW][C]35[/C][C]-0.028896[/C][C]-0.2435[/C][C]0.404167[/C][/ROW]
[ROW][C]36[/C][C]0.392347[/C][C]3.306[/C][C]0.000743[/C][/ROW]
[ROW][C]37[/C][C]-0.030547[/C][C]-0.2574[/C][C]0.398809[/C][/ROW]
[ROW][C]38[/C][C]-0.031373[/C][C]-0.2644[/C][C]0.396137[/C][/ROW]
[ROW][C]39[/C][C]-0.023556[/C][C]-0.1985[/C][C]0.421617[/C][/ROW]
[ROW][C]40[/C][C]-0.024381[/C][C]-0.2054[/C][C]0.418908[/C][/ROW]
[ROW][C]41[/C][C]-0.025207[/C][C]-0.2124[/C][C]0.416203[/C][/ROW]
[ROW][C]42[/C][C]-0.026033[/C][C]-0.2194[/C][C]0.413502[/C][/ROW]
[ROW][C]43[/C][C]-0.026858[/C][C]-0.2263[/C][C]0.410805[/C][/ROW]
[ROW][C]44[/C][C]-0.027684[/C][C]-0.2333[/C][C]0.408112[/C][/ROW]
[ROW][C]45[/C][C]-0.020865[/C][C]-0.1758[/C][C]0.43047[/C][/ROW]
[ROW][C]46[/C][C]-0.019309[/C][C]-0.1627[/C][C]0.435609[/C][/ROW]
[ROW][C]47[/C][C]-0.020135[/C][C]-0.1697[/C][C]0.432881[/C][/ROW]
[ROW][C]48[/C][C]0.124202[/C][C]1.0465[/C][C]0.14943[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=145415&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=145415&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
1-0.059443-0.50090.309003
2-0.060269-0.50780.306572
3-0.064193-0.54090.295134
4-0.064205-0.5410.2951
5-0.065031-0.5480.29272
6-0.065856-0.55490.290348
7-0.066682-0.56190.287986
8-0.067508-0.56880.285634
9-0.062714-0.52840.299422
10-0.061954-0.5220.301636
11-0.06278-0.5290.299231
120.5083974.28382.8e-05
13-0.064524-0.54370.294179
14-0.06535-0.55060.291803
15-0.045089-0.37990.352566
16-0.045915-0.38690.349999
17-0.04674-0.39380.347439
18-0.047566-0.40080.344886
19-0.048392-0.40780.34234
20-0.049217-0.41470.339801
21-0.036983-0.31160.378121
22-0.036832-0.31040.378601
23-0.037658-0.31730.37597
240.4003833.37370.000602
25-0.039309-0.33120.370726
26-0.040134-0.33820.368113
27-0.030934-0.26070.397557
28-0.031759-0.26760.394888
29-0.032585-0.27460.392223
30-0.033411-0.28150.389564
31-0.034236-0.28850.38691
32-0.035062-0.29540.384261
33-0.028377-0.23910.405854
34-0.02807-0.23650.406853
35-0.028896-0.24350.404167
360.3923473.3060.000743
37-0.030547-0.25740.398809
38-0.031373-0.26440.396137
39-0.023556-0.19850.421617
40-0.024381-0.20540.418908
41-0.025207-0.21240.416203
42-0.026033-0.21940.413502
43-0.026858-0.22630.410805
44-0.027684-0.23330.408112
45-0.020865-0.17580.43047
46-0.019309-0.16270.435609
47-0.020135-0.16970.432881
480.1242021.04650.14943







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.059443-0.50090.309003
2-0.064029-0.53950.29561
3-0.072363-0.60970.27199
4-0.077999-0.65720.25658
5-0.085424-0.71980.237008
6-0.094242-0.79410.214893
7-0.104886-0.88380.189897
8-0.118021-0.99450.161687
9-0.128698-1.08440.140922
10-0.146924-1.2380.109896
11-0.173183-1.45930.074451
120.4405663.71230.000203
13-0.074776-0.63010.265335
14-0.080294-0.67660.250438
15-0.052524-0.44260.329709
16-0.058343-0.49160.312257
17-0.061268-0.51630.303642
18-0.063781-0.53740.296326
19-0.06688-0.56350.287421
20-0.070264-0.59210.277846
21-0.064121-0.54030.295343
22-0.066016-0.55630.289891
23-0.068168-0.57440.283757
240.1220681.02860.153589
25-0.034124-0.28750.38727
26-0.031593-0.26620.395425
27-0.04147-0.34940.363898
28-0.042254-0.3560.361434
29-0.040955-0.34510.365522
30-0.040627-0.34230.366557
31-0.040087-0.33780.368263
32-0.039269-0.33090.370852
33-0.045999-0.38760.349737
34-0.046509-0.39190.348155
35-0.046796-0.39430.347267
360.1466831.2360.110271
37-0.008206-0.06910.472534
38-0.004736-0.03990.484141
39-0.000293-0.00250.49902
400.0011040.00930.496302
410.0049890.0420.483294
420.0093190.07850.468816
430.0138050.11630.453861
440.0185570.15640.438094
450.0228540.19260.423923
460.0287750.24250.40456
470.0344170.290.38633
48-0.23013-1.93910.028231

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.059443 & -0.5009 & 0.309003 \tabularnewline
2 & -0.064029 & -0.5395 & 0.29561 \tabularnewline
3 & -0.072363 & -0.6097 & 0.27199 \tabularnewline
4 & -0.077999 & -0.6572 & 0.25658 \tabularnewline
5 & -0.085424 & -0.7198 & 0.237008 \tabularnewline
6 & -0.094242 & -0.7941 & 0.214893 \tabularnewline
7 & -0.104886 & -0.8838 & 0.189897 \tabularnewline
8 & -0.118021 & -0.9945 & 0.161687 \tabularnewline
9 & -0.128698 & -1.0844 & 0.140922 \tabularnewline
10 & -0.146924 & -1.238 & 0.109896 \tabularnewline
11 & -0.173183 & -1.4593 & 0.074451 \tabularnewline
12 & 0.440566 & 3.7123 & 0.000203 \tabularnewline
13 & -0.074776 & -0.6301 & 0.265335 \tabularnewline
14 & -0.080294 & -0.6766 & 0.250438 \tabularnewline
15 & -0.052524 & -0.4426 & 0.329709 \tabularnewline
16 & -0.058343 & -0.4916 & 0.312257 \tabularnewline
17 & -0.061268 & -0.5163 & 0.303642 \tabularnewline
18 & -0.063781 & -0.5374 & 0.296326 \tabularnewline
19 & -0.06688 & -0.5635 & 0.287421 \tabularnewline
20 & -0.070264 & -0.5921 & 0.277846 \tabularnewline
21 & -0.064121 & -0.5403 & 0.295343 \tabularnewline
22 & -0.066016 & -0.5563 & 0.289891 \tabularnewline
23 & -0.068168 & -0.5744 & 0.283757 \tabularnewline
24 & 0.122068 & 1.0286 & 0.153589 \tabularnewline
25 & -0.034124 & -0.2875 & 0.38727 \tabularnewline
26 & -0.031593 & -0.2662 & 0.395425 \tabularnewline
27 & -0.04147 & -0.3494 & 0.363898 \tabularnewline
28 & -0.042254 & -0.356 & 0.361434 \tabularnewline
29 & -0.040955 & -0.3451 & 0.365522 \tabularnewline
30 & -0.040627 & -0.3423 & 0.366557 \tabularnewline
31 & -0.040087 & -0.3378 & 0.368263 \tabularnewline
32 & -0.039269 & -0.3309 & 0.370852 \tabularnewline
33 & -0.045999 & -0.3876 & 0.349737 \tabularnewline
34 & -0.046509 & -0.3919 & 0.348155 \tabularnewline
35 & -0.046796 & -0.3943 & 0.347267 \tabularnewline
36 & 0.146683 & 1.236 & 0.110271 \tabularnewline
37 & -0.008206 & -0.0691 & 0.472534 \tabularnewline
38 & -0.004736 & -0.0399 & 0.484141 \tabularnewline
39 & -0.000293 & -0.0025 & 0.49902 \tabularnewline
40 & 0.001104 & 0.0093 & 0.496302 \tabularnewline
41 & 0.004989 & 0.042 & 0.483294 \tabularnewline
42 & 0.009319 & 0.0785 & 0.468816 \tabularnewline
43 & 0.013805 & 0.1163 & 0.453861 \tabularnewline
44 & 0.018557 & 0.1564 & 0.438094 \tabularnewline
45 & 0.022854 & 0.1926 & 0.423923 \tabularnewline
46 & 0.028775 & 0.2425 & 0.40456 \tabularnewline
47 & 0.034417 & 0.29 & 0.38633 \tabularnewline
48 & -0.23013 & -1.9391 & 0.028231 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=145415&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]-0.059443[/C][C]-0.5009[/C][C]0.309003[/C][/ROW]
[ROW][C]2[/C][C]-0.064029[/C][C]-0.5395[/C][C]0.29561[/C][/ROW]
[ROW][C]3[/C][C]-0.072363[/C][C]-0.6097[/C][C]0.27199[/C][/ROW]
[ROW][C]4[/C][C]-0.077999[/C][C]-0.6572[/C][C]0.25658[/C][/ROW]
[ROW][C]5[/C][C]-0.085424[/C][C]-0.7198[/C][C]0.237008[/C][/ROW]
[ROW][C]6[/C][C]-0.094242[/C][C]-0.7941[/C][C]0.214893[/C][/ROW]
[ROW][C]7[/C][C]-0.104886[/C][C]-0.8838[/C][C]0.189897[/C][/ROW]
[ROW][C]8[/C][C]-0.118021[/C][C]-0.9945[/C][C]0.161687[/C][/ROW]
[ROW][C]9[/C][C]-0.128698[/C][C]-1.0844[/C][C]0.140922[/C][/ROW]
[ROW][C]10[/C][C]-0.146924[/C][C]-1.238[/C][C]0.109896[/C][/ROW]
[ROW][C]11[/C][C]-0.173183[/C][C]-1.4593[/C][C]0.074451[/C][/ROW]
[ROW][C]12[/C][C]0.440566[/C][C]3.7123[/C][C]0.000203[/C][/ROW]
[ROW][C]13[/C][C]-0.074776[/C][C]-0.6301[/C][C]0.265335[/C][/ROW]
[ROW][C]14[/C][C]-0.080294[/C][C]-0.6766[/C][C]0.250438[/C][/ROW]
[ROW][C]15[/C][C]-0.052524[/C][C]-0.4426[/C][C]0.329709[/C][/ROW]
[ROW][C]16[/C][C]-0.058343[/C][C]-0.4916[/C][C]0.312257[/C][/ROW]
[ROW][C]17[/C][C]-0.061268[/C][C]-0.5163[/C][C]0.303642[/C][/ROW]
[ROW][C]18[/C][C]-0.063781[/C][C]-0.5374[/C][C]0.296326[/C][/ROW]
[ROW][C]19[/C][C]-0.06688[/C][C]-0.5635[/C][C]0.287421[/C][/ROW]
[ROW][C]20[/C][C]-0.070264[/C][C]-0.5921[/C][C]0.277846[/C][/ROW]
[ROW][C]21[/C][C]-0.064121[/C][C]-0.5403[/C][C]0.295343[/C][/ROW]
[ROW][C]22[/C][C]-0.066016[/C][C]-0.5563[/C][C]0.289891[/C][/ROW]
[ROW][C]23[/C][C]-0.068168[/C][C]-0.5744[/C][C]0.283757[/C][/ROW]
[ROW][C]24[/C][C]0.122068[/C][C]1.0286[/C][C]0.153589[/C][/ROW]
[ROW][C]25[/C][C]-0.034124[/C][C]-0.2875[/C][C]0.38727[/C][/ROW]
[ROW][C]26[/C][C]-0.031593[/C][C]-0.2662[/C][C]0.395425[/C][/ROW]
[ROW][C]27[/C][C]-0.04147[/C][C]-0.3494[/C][C]0.363898[/C][/ROW]
[ROW][C]28[/C][C]-0.042254[/C][C]-0.356[/C][C]0.361434[/C][/ROW]
[ROW][C]29[/C][C]-0.040955[/C][C]-0.3451[/C][C]0.365522[/C][/ROW]
[ROW][C]30[/C][C]-0.040627[/C][C]-0.3423[/C][C]0.366557[/C][/ROW]
[ROW][C]31[/C][C]-0.040087[/C][C]-0.3378[/C][C]0.368263[/C][/ROW]
[ROW][C]32[/C][C]-0.039269[/C][C]-0.3309[/C][C]0.370852[/C][/ROW]
[ROW][C]33[/C][C]-0.045999[/C][C]-0.3876[/C][C]0.349737[/C][/ROW]
[ROW][C]34[/C][C]-0.046509[/C][C]-0.3919[/C][C]0.348155[/C][/ROW]
[ROW][C]35[/C][C]-0.046796[/C][C]-0.3943[/C][C]0.347267[/C][/ROW]
[ROW][C]36[/C][C]0.146683[/C][C]1.236[/C][C]0.110271[/C][/ROW]
[ROW][C]37[/C][C]-0.008206[/C][C]-0.0691[/C][C]0.472534[/C][/ROW]
[ROW][C]38[/C][C]-0.004736[/C][C]-0.0399[/C][C]0.484141[/C][/ROW]
[ROW][C]39[/C][C]-0.000293[/C][C]-0.0025[/C][C]0.49902[/C][/ROW]
[ROW][C]40[/C][C]0.001104[/C][C]0.0093[/C][C]0.496302[/C][/ROW]
[ROW][C]41[/C][C]0.004989[/C][C]0.042[/C][C]0.483294[/C][/ROW]
[ROW][C]42[/C][C]0.009319[/C][C]0.0785[/C][C]0.468816[/C][/ROW]
[ROW][C]43[/C][C]0.013805[/C][C]0.1163[/C][C]0.453861[/C][/ROW]
[ROW][C]44[/C][C]0.018557[/C][C]0.1564[/C][C]0.438094[/C][/ROW]
[ROW][C]45[/C][C]0.022854[/C][C]0.1926[/C][C]0.423923[/C][/ROW]
[ROW][C]46[/C][C]0.028775[/C][C]0.2425[/C][C]0.40456[/C][/ROW]
[ROW][C]47[/C][C]0.034417[/C][C]0.29[/C][C]0.38633[/C][/ROW]
[ROW][C]48[/C][C]-0.23013[/C][C]-1.9391[/C][C]0.028231[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=145415&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=145415&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
1-0.059443-0.50090.309003
2-0.064029-0.53950.29561
3-0.072363-0.60970.27199
4-0.077999-0.65720.25658
5-0.085424-0.71980.237008
6-0.094242-0.79410.214893
7-0.104886-0.88380.189897
8-0.118021-0.99450.161687
9-0.128698-1.08440.140922
10-0.146924-1.2380.109896
11-0.173183-1.45930.074451
120.4405663.71230.000203
13-0.074776-0.63010.265335
14-0.080294-0.67660.250438
15-0.052524-0.44260.329709
16-0.058343-0.49160.312257
17-0.061268-0.51630.303642
18-0.063781-0.53740.296326
19-0.06688-0.56350.287421
20-0.070264-0.59210.277846
21-0.064121-0.54030.295343
22-0.066016-0.55630.289891
23-0.068168-0.57440.283757
240.1220681.02860.153589
25-0.034124-0.28750.38727
26-0.031593-0.26620.395425
27-0.04147-0.34940.363898
28-0.042254-0.3560.361434
29-0.040955-0.34510.365522
30-0.040627-0.34230.366557
31-0.040087-0.33780.368263
32-0.039269-0.33090.370852
33-0.045999-0.38760.349737
34-0.046509-0.39190.348155
35-0.046796-0.39430.347267
360.1466831.2360.110271
37-0.008206-0.06910.472534
38-0.004736-0.03990.484141
39-0.000293-0.00250.49902
400.0011040.00930.496302
410.0049890.0420.483294
420.0093190.07850.468816
430.0138050.11630.453861
440.0185570.15640.438094
450.0228540.19260.423923
460.0287750.24250.40456
470.0344170.290.38633
48-0.23013-1.93910.028231



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ; par8 = ;
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 (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
par7 <- as.numeric(par7)
if (par8 != '') par8 <- as.numeric(par8)
ox <- x
if (par8 == '') {
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
} else {
x <- log(x,base=par8)
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='picts.png')
op <- par(mfrow=c(2,1))
plot(ox,type='l',main='Original Time Series',xlab='time',ylab='value')
if (par8=='') {
mytitle <- paste('Working Time Series (lambda=',par2,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
} else {
mytitle <- paste('Working Time Series (base=',par8,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(base=',par8,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
}
plot(x,type='l', main=mytitle,xlab='time',ylab='value')
par(op)
dev.off()
bitmap(file='pic1.png')
racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=mysub)
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF',sub=mysub)
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')