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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 computationTue, 09 Dec 2008 09:15:48 -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/09/t1228839395g6ja378booc3bf7.htm/, Retrieved Sun, 19 May 2024 12:15:40 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=31561, Retrieved Sun, 19 May 2024 12:15:40 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact205
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Mean Plot] [Gilliam Schoorel] [2008-11-06 14:07:56] [666bda00bbd072dde5655a1423b1377b]
- RMPD    [(Partial) Autocorrelation Function] [Acf suiker met d=...] [2008-12-09 16:15:48] [3fc0b50a130253095e963177b0139835] [Current]
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Dataseries X:
101.02
100.67
100.47
100.38
100.33
100.34
100.37
100.39
100.21
100.21
100.22
100.28
100.25
100.25
100.21
100.16
100.18
100.1
99.96
99.88
99.88
99.86
99.84
99.8
99.82
99.81
99.92
100.03
99.99
100.02
100.01
100.13
100.33
100.13
99.96
100.05
99.83
99.8
100.01
100.1
100.13
100.16
100.41
101.34
101.65
101.85
102.07
102.12
102.14
102.21
102.28
102.19
102.33
102.54
102.44
102.78
102.9
103.08
102.77
102.65
102.71
103.29
102.86
103.45
103.72
103.65
103.83
104.45
105.14
105.07
105.31
105.19
105.3
105.02
105.17
105.28
105.45
105.38
105.8
105.96
105.08
105.11
105.61
105.5




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=31561&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=31561&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31561&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.0016270.01370.49455
20.0314320.26490.395946
30.0582120.49050.312645
40.2221611.8720.032665
5-0.085167-0.71760.237671
6-0.124306-1.04740.14923
70.1803811.51990.066486
8-0.062395-0.52580.30035
9-0.222814-1.87750.032281
10-0.206709-1.74180.042941
110.1070460.9020.185057
12-0.396845-3.34390.000661
13-0.126139-1.06290.145721
14-0.025099-0.21150.416555
150.101570.85580.197483
16-0.129362-1.090.139695
17-0.01646-0.13870.445043
180.2549412.14820.017556
19-0.07901-0.66570.253864
20-0.002618-0.02210.491233
210.1655831.39520.083648
220.174311.46880.073157
230.006130.05170.479474
240.0440340.3710.355856
250.1786061.5050.068385
260.065940.55560.290109
27-0.138857-1.170.12295
28-0.032103-0.27050.393778
290.068540.57750.282706
30-0.065396-0.5510.291669
31-0.020655-0.1740.431165
32-0.025401-0.2140.415568
33-0.001312-0.01110.495605
34-0.098372-0.82890.204971
35-0.061123-0.5150.304065
36-0.000613-0.00520.497947
37-0.095269-0.80270.2124
38-0.065659-0.55330.290914
390.0886510.7470.22877
400.0200940.16930.433014
41-0.010397-0.08760.465217
42-0.057039-0.48060.316132
430.0157790.1330.447304
440.0180820.15240.439667
45-0.064655-0.54480.293803
460.0050330.04240.483146
470.0412950.3480.364452
48-0.027156-0.22880.409833
49-0.090618-0.76360.22383
500.0193450.1630.43549
51-0.014821-0.12490.450483
520.0101470.08550.466053
53-0.039844-0.33570.369032
540.0237580.20020.420952
550.0256620.21620.414714
560.0041550.0350.486085
570.0423810.35710.361035
580.0242270.20410.419412
59-0.022505-0.18960.425069
60-0.056855-0.47910.31668

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.001627 & 0.0137 & 0.49455 \tabularnewline
2 & 0.031432 & 0.2649 & 0.395946 \tabularnewline
3 & 0.058212 & 0.4905 & 0.312645 \tabularnewline
4 & 0.222161 & 1.872 & 0.032665 \tabularnewline
5 & -0.085167 & -0.7176 & 0.237671 \tabularnewline
6 & -0.124306 & -1.0474 & 0.14923 \tabularnewline
7 & 0.180381 & 1.5199 & 0.066486 \tabularnewline
8 & -0.062395 & -0.5258 & 0.30035 \tabularnewline
9 & -0.222814 & -1.8775 & 0.032281 \tabularnewline
10 & -0.206709 & -1.7418 & 0.042941 \tabularnewline
11 & 0.107046 & 0.902 & 0.185057 \tabularnewline
12 & -0.396845 & -3.3439 & 0.000661 \tabularnewline
13 & -0.126139 & -1.0629 & 0.145721 \tabularnewline
14 & -0.025099 & -0.2115 & 0.416555 \tabularnewline
15 & 0.10157 & 0.8558 & 0.197483 \tabularnewline
16 & -0.129362 & -1.09 & 0.139695 \tabularnewline
17 & -0.01646 & -0.1387 & 0.445043 \tabularnewline
18 & 0.254941 & 2.1482 & 0.017556 \tabularnewline
19 & -0.07901 & -0.6657 & 0.253864 \tabularnewline
20 & -0.002618 & -0.0221 & 0.491233 \tabularnewline
21 & 0.165583 & 1.3952 & 0.083648 \tabularnewline
22 & 0.17431 & 1.4688 & 0.073157 \tabularnewline
23 & 0.00613 & 0.0517 & 0.479474 \tabularnewline
24 & 0.044034 & 0.371 & 0.355856 \tabularnewline
25 & 0.178606 & 1.505 & 0.068385 \tabularnewline
26 & 0.06594 & 0.5556 & 0.290109 \tabularnewline
27 & -0.138857 & -1.17 & 0.12295 \tabularnewline
28 & -0.032103 & -0.2705 & 0.393778 \tabularnewline
29 & 0.06854 & 0.5775 & 0.282706 \tabularnewline
30 & -0.065396 & -0.551 & 0.291669 \tabularnewline
31 & -0.020655 & -0.174 & 0.431165 \tabularnewline
32 & -0.025401 & -0.214 & 0.415568 \tabularnewline
33 & -0.001312 & -0.0111 & 0.495605 \tabularnewline
34 & -0.098372 & -0.8289 & 0.204971 \tabularnewline
35 & -0.061123 & -0.515 & 0.304065 \tabularnewline
36 & -0.000613 & -0.0052 & 0.497947 \tabularnewline
37 & -0.095269 & -0.8027 & 0.2124 \tabularnewline
38 & -0.065659 & -0.5533 & 0.290914 \tabularnewline
39 & 0.088651 & 0.747 & 0.22877 \tabularnewline
40 & 0.020094 & 0.1693 & 0.433014 \tabularnewline
41 & -0.010397 & -0.0876 & 0.465217 \tabularnewline
42 & -0.057039 & -0.4806 & 0.316132 \tabularnewline
43 & 0.015779 & 0.133 & 0.447304 \tabularnewline
44 & 0.018082 & 0.1524 & 0.439667 \tabularnewline
45 & -0.064655 & -0.5448 & 0.293803 \tabularnewline
46 & 0.005033 & 0.0424 & 0.483146 \tabularnewline
47 & 0.041295 & 0.348 & 0.364452 \tabularnewline
48 & -0.027156 & -0.2288 & 0.409833 \tabularnewline
49 & -0.090618 & -0.7636 & 0.22383 \tabularnewline
50 & 0.019345 & 0.163 & 0.43549 \tabularnewline
51 & -0.014821 & -0.1249 & 0.450483 \tabularnewline
52 & 0.010147 & 0.0855 & 0.466053 \tabularnewline
53 & -0.039844 & -0.3357 & 0.369032 \tabularnewline
54 & 0.023758 & 0.2002 & 0.420952 \tabularnewline
55 & 0.025662 & 0.2162 & 0.414714 \tabularnewline
56 & 0.004155 & 0.035 & 0.486085 \tabularnewline
57 & 0.042381 & 0.3571 & 0.361035 \tabularnewline
58 & 0.024227 & 0.2041 & 0.419412 \tabularnewline
59 & -0.022505 & -0.1896 & 0.425069 \tabularnewline
60 & -0.056855 & -0.4791 & 0.31668 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=31561&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]0.001627[/C][C]0.0137[/C][C]0.49455[/C][/ROW]
[ROW][C]2[/C][C]0.031432[/C][C]0.2649[/C][C]0.395946[/C][/ROW]
[ROW][C]3[/C][C]0.058212[/C][C]0.4905[/C][C]0.312645[/C][/ROW]
[ROW][C]4[/C][C]0.222161[/C][C]1.872[/C][C]0.032665[/C][/ROW]
[ROW][C]5[/C][C]-0.085167[/C][C]-0.7176[/C][C]0.237671[/C][/ROW]
[ROW][C]6[/C][C]-0.124306[/C][C]-1.0474[/C][C]0.14923[/C][/ROW]
[ROW][C]7[/C][C]0.180381[/C][C]1.5199[/C][C]0.066486[/C][/ROW]
[ROW][C]8[/C][C]-0.062395[/C][C]-0.5258[/C][C]0.30035[/C][/ROW]
[ROW][C]9[/C][C]-0.222814[/C][C]-1.8775[/C][C]0.032281[/C][/ROW]
[ROW][C]10[/C][C]-0.206709[/C][C]-1.7418[/C][C]0.042941[/C][/ROW]
[ROW][C]11[/C][C]0.107046[/C][C]0.902[/C][C]0.185057[/C][/ROW]
[ROW][C]12[/C][C]-0.396845[/C][C]-3.3439[/C][C]0.000661[/C][/ROW]
[ROW][C]13[/C][C]-0.126139[/C][C]-1.0629[/C][C]0.145721[/C][/ROW]
[ROW][C]14[/C][C]-0.025099[/C][C]-0.2115[/C][C]0.416555[/C][/ROW]
[ROW][C]15[/C][C]0.10157[/C][C]0.8558[/C][C]0.197483[/C][/ROW]
[ROW][C]16[/C][C]-0.129362[/C][C]-1.09[/C][C]0.139695[/C][/ROW]
[ROW][C]17[/C][C]-0.01646[/C][C]-0.1387[/C][C]0.445043[/C][/ROW]
[ROW][C]18[/C][C]0.254941[/C][C]2.1482[/C][C]0.017556[/C][/ROW]
[ROW][C]19[/C][C]-0.07901[/C][C]-0.6657[/C][C]0.253864[/C][/ROW]
[ROW][C]20[/C][C]-0.002618[/C][C]-0.0221[/C][C]0.491233[/C][/ROW]
[ROW][C]21[/C][C]0.165583[/C][C]1.3952[/C][C]0.083648[/C][/ROW]
[ROW][C]22[/C][C]0.17431[/C][C]1.4688[/C][C]0.073157[/C][/ROW]
[ROW][C]23[/C][C]0.00613[/C][C]0.0517[/C][C]0.479474[/C][/ROW]
[ROW][C]24[/C][C]0.044034[/C][C]0.371[/C][C]0.355856[/C][/ROW]
[ROW][C]25[/C][C]0.178606[/C][C]1.505[/C][C]0.068385[/C][/ROW]
[ROW][C]26[/C][C]0.06594[/C][C]0.5556[/C][C]0.290109[/C][/ROW]
[ROW][C]27[/C][C]-0.138857[/C][C]-1.17[/C][C]0.12295[/C][/ROW]
[ROW][C]28[/C][C]-0.032103[/C][C]-0.2705[/C][C]0.393778[/C][/ROW]
[ROW][C]29[/C][C]0.06854[/C][C]0.5775[/C][C]0.282706[/C][/ROW]
[ROW][C]30[/C][C]-0.065396[/C][C]-0.551[/C][C]0.291669[/C][/ROW]
[ROW][C]31[/C][C]-0.020655[/C][C]-0.174[/C][C]0.431165[/C][/ROW]
[ROW][C]32[/C][C]-0.025401[/C][C]-0.214[/C][C]0.415568[/C][/ROW]
[ROW][C]33[/C][C]-0.001312[/C][C]-0.0111[/C][C]0.495605[/C][/ROW]
[ROW][C]34[/C][C]-0.098372[/C][C]-0.8289[/C][C]0.204971[/C][/ROW]
[ROW][C]35[/C][C]-0.061123[/C][C]-0.515[/C][C]0.304065[/C][/ROW]
[ROW][C]36[/C][C]-0.000613[/C][C]-0.0052[/C][C]0.497947[/C][/ROW]
[ROW][C]37[/C][C]-0.095269[/C][C]-0.8027[/C][C]0.2124[/C][/ROW]
[ROW][C]38[/C][C]-0.065659[/C][C]-0.5533[/C][C]0.290914[/C][/ROW]
[ROW][C]39[/C][C]0.088651[/C][C]0.747[/C][C]0.22877[/C][/ROW]
[ROW][C]40[/C][C]0.020094[/C][C]0.1693[/C][C]0.433014[/C][/ROW]
[ROW][C]41[/C][C]-0.010397[/C][C]-0.0876[/C][C]0.465217[/C][/ROW]
[ROW][C]42[/C][C]-0.057039[/C][C]-0.4806[/C][C]0.316132[/C][/ROW]
[ROW][C]43[/C][C]0.015779[/C][C]0.133[/C][C]0.447304[/C][/ROW]
[ROW][C]44[/C][C]0.018082[/C][C]0.1524[/C][C]0.439667[/C][/ROW]
[ROW][C]45[/C][C]-0.064655[/C][C]-0.5448[/C][C]0.293803[/C][/ROW]
[ROW][C]46[/C][C]0.005033[/C][C]0.0424[/C][C]0.483146[/C][/ROW]
[ROW][C]47[/C][C]0.041295[/C][C]0.348[/C][C]0.364452[/C][/ROW]
[ROW][C]48[/C][C]-0.027156[/C][C]-0.2288[/C][C]0.409833[/C][/ROW]
[ROW][C]49[/C][C]-0.090618[/C][C]-0.7636[/C][C]0.22383[/C][/ROW]
[ROW][C]50[/C][C]0.019345[/C][C]0.163[/C][C]0.43549[/C][/ROW]
[ROW][C]51[/C][C]-0.014821[/C][C]-0.1249[/C][C]0.450483[/C][/ROW]
[ROW][C]52[/C][C]0.010147[/C][C]0.0855[/C][C]0.466053[/C][/ROW]
[ROW][C]53[/C][C]-0.039844[/C][C]-0.3357[/C][C]0.369032[/C][/ROW]
[ROW][C]54[/C][C]0.023758[/C][C]0.2002[/C][C]0.420952[/C][/ROW]
[ROW][C]55[/C][C]0.025662[/C][C]0.2162[/C][C]0.414714[/C][/ROW]
[ROW][C]56[/C][C]0.004155[/C][C]0.035[/C][C]0.486085[/C][/ROW]
[ROW][C]57[/C][C]0.042381[/C][C]0.3571[/C][C]0.361035[/C][/ROW]
[ROW][C]58[/C][C]0.024227[/C][C]0.2041[/C][C]0.419412[/C][/ROW]
[ROW][C]59[/C][C]-0.022505[/C][C]-0.1896[/C][C]0.425069[/C][/ROW]
[ROW][C]60[/C][C]-0.056855[/C][C]-0.4791[/C][C]0.31668[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=31561&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31561&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
10.0016270.01370.49455
20.0314320.26490.395946
30.0582120.49050.312645
40.2221611.8720.032665
5-0.085167-0.71760.237671
6-0.124306-1.04740.14923
70.1803811.51990.066486
8-0.062395-0.52580.30035
9-0.222814-1.87750.032281
10-0.206709-1.74180.042941
110.1070460.9020.185057
12-0.396845-3.34390.000661
13-0.126139-1.06290.145721
14-0.025099-0.21150.416555
150.101570.85580.197483
16-0.129362-1.090.139695
17-0.01646-0.13870.445043
180.2549412.14820.017556
19-0.07901-0.66570.253864
20-0.002618-0.02210.491233
210.1655831.39520.083648
220.174311.46880.073157
230.006130.05170.479474
240.0440340.3710.355856
250.1786061.5050.068385
260.065940.55560.290109
27-0.138857-1.170.12295
28-0.032103-0.27050.393778
290.068540.57750.282706
30-0.065396-0.5510.291669
31-0.020655-0.1740.431165
32-0.025401-0.2140.415568
33-0.001312-0.01110.495605
34-0.098372-0.82890.204971
35-0.061123-0.5150.304065
36-0.000613-0.00520.497947
37-0.095269-0.80270.2124
38-0.065659-0.55330.290914
390.0886510.7470.22877
400.0200940.16930.433014
41-0.010397-0.08760.465217
42-0.057039-0.48060.316132
430.0157790.1330.447304
440.0180820.15240.439667
45-0.064655-0.54480.293803
460.0050330.04240.483146
470.0412950.3480.364452
48-0.027156-0.22880.409833
49-0.090618-0.76360.22383
500.0193450.1630.43549
51-0.014821-0.12490.450483
520.0101470.08550.466053
53-0.039844-0.33570.369032
540.0237580.20020.420952
550.0256620.21620.414714
560.0041550.0350.486085
570.0423810.35710.361035
580.0242270.20410.419412
59-0.022505-0.18960.425069
60-0.056855-0.47910.31668







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.0016270.01370.49455
20.031430.26480.395954
30.0581690.49010.312773
40.2220671.87120.032721
5-0.090701-0.76430.223622
6-0.14979-1.26220.105513
70.173711.46370.073843
8-0.101919-0.85880.196675
9-0.209933-1.76890.0406
10-0.178264-1.50210.068756
110.0521890.43980.330725
12-0.382465-3.22270.000959
13-0.011088-0.09340.462914
140.0181060.15260.439587
150.0409690.34520.365478
160.0522710.44040.330476
170.0547830.46160.322886
180.1269381.06960.144211
19-0.089452-0.75370.226749
20-0.009432-0.07950.46844
210.0886570.7470.228753
22-0.134693-1.13490.130108
230.100820.84950.199222
24-0.045335-0.3820.351802
250.0432740.36460.358234
260.076870.64770.259629
27-0.017623-0.14850.441186
28-0.064526-0.54370.294174
29-0.006001-0.05060.479906
300.1333891.1240.132408
310.0416640.35110.363289
32-0.050415-0.42480.336133
330.0815910.68750.247004
34-0.011264-0.09490.462326
350.0306660.25840.398425
36-0.079106-0.66660.253607
37-0.056895-0.47940.316563
38-0.072612-0.61180.271298
390.0713050.60080.274936
400.0008790.00740.497056
41-0.020706-0.17450.430996
42-0.028331-0.23870.406005
43-0.014082-0.11870.452941
44-0.026581-0.2240.411708
45-0.03157-0.2660.395499
46-0.110138-0.9280.178265
47-0.015938-0.13430.446773
48-0.098071-0.82640.205684
49-0.113598-0.95720.170859
50-0.004597-0.03870.484605
51-0.02463-0.20750.418093
520.0308170.25970.397934
530.0543260.45780.324261
54-0.071539-0.60280.274283
550.00710.05980.476233
560.0013440.01130.495499
570.0105010.08850.46487
58-0.007252-0.06110.475721
59-0.089955-0.7580.225489
60-0.095869-0.80780.210951

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.001627 & 0.0137 & 0.49455 \tabularnewline
2 & 0.03143 & 0.2648 & 0.395954 \tabularnewline
3 & 0.058169 & 0.4901 & 0.312773 \tabularnewline
4 & 0.222067 & 1.8712 & 0.032721 \tabularnewline
5 & -0.090701 & -0.7643 & 0.223622 \tabularnewline
6 & -0.14979 & -1.2622 & 0.105513 \tabularnewline
7 & 0.17371 & 1.4637 & 0.073843 \tabularnewline
8 & -0.101919 & -0.8588 & 0.196675 \tabularnewline
9 & -0.209933 & -1.7689 & 0.0406 \tabularnewline
10 & -0.178264 & -1.5021 & 0.068756 \tabularnewline
11 & 0.052189 & 0.4398 & 0.330725 \tabularnewline
12 & -0.382465 & -3.2227 & 0.000959 \tabularnewline
13 & -0.011088 & -0.0934 & 0.462914 \tabularnewline
14 & 0.018106 & 0.1526 & 0.439587 \tabularnewline
15 & 0.040969 & 0.3452 & 0.365478 \tabularnewline
16 & 0.052271 & 0.4404 & 0.330476 \tabularnewline
17 & 0.054783 & 0.4616 & 0.322886 \tabularnewline
18 & 0.126938 & 1.0696 & 0.144211 \tabularnewline
19 & -0.089452 & -0.7537 & 0.226749 \tabularnewline
20 & -0.009432 & -0.0795 & 0.46844 \tabularnewline
21 & 0.088657 & 0.747 & 0.228753 \tabularnewline
22 & -0.134693 & -1.1349 & 0.130108 \tabularnewline
23 & 0.10082 & 0.8495 & 0.199222 \tabularnewline
24 & -0.045335 & -0.382 & 0.351802 \tabularnewline
25 & 0.043274 & 0.3646 & 0.358234 \tabularnewline
26 & 0.07687 & 0.6477 & 0.259629 \tabularnewline
27 & -0.017623 & -0.1485 & 0.441186 \tabularnewline
28 & -0.064526 & -0.5437 & 0.294174 \tabularnewline
29 & -0.006001 & -0.0506 & 0.479906 \tabularnewline
30 & 0.133389 & 1.124 & 0.132408 \tabularnewline
31 & 0.041664 & 0.3511 & 0.363289 \tabularnewline
32 & -0.050415 & -0.4248 & 0.336133 \tabularnewline
33 & 0.081591 & 0.6875 & 0.247004 \tabularnewline
34 & -0.011264 & -0.0949 & 0.462326 \tabularnewline
35 & 0.030666 & 0.2584 & 0.398425 \tabularnewline
36 & -0.079106 & -0.6666 & 0.253607 \tabularnewline
37 & -0.056895 & -0.4794 & 0.316563 \tabularnewline
38 & -0.072612 & -0.6118 & 0.271298 \tabularnewline
39 & 0.071305 & 0.6008 & 0.274936 \tabularnewline
40 & 0.000879 & 0.0074 & 0.497056 \tabularnewline
41 & -0.020706 & -0.1745 & 0.430996 \tabularnewline
42 & -0.028331 & -0.2387 & 0.406005 \tabularnewline
43 & -0.014082 & -0.1187 & 0.452941 \tabularnewline
44 & -0.026581 & -0.224 & 0.411708 \tabularnewline
45 & -0.03157 & -0.266 & 0.395499 \tabularnewline
46 & -0.110138 & -0.928 & 0.178265 \tabularnewline
47 & -0.015938 & -0.1343 & 0.446773 \tabularnewline
48 & -0.098071 & -0.8264 & 0.205684 \tabularnewline
49 & -0.113598 & -0.9572 & 0.170859 \tabularnewline
50 & -0.004597 & -0.0387 & 0.484605 \tabularnewline
51 & -0.02463 & -0.2075 & 0.418093 \tabularnewline
52 & 0.030817 & 0.2597 & 0.397934 \tabularnewline
53 & 0.054326 & 0.4578 & 0.324261 \tabularnewline
54 & -0.071539 & -0.6028 & 0.274283 \tabularnewline
55 & 0.0071 & 0.0598 & 0.476233 \tabularnewline
56 & 0.001344 & 0.0113 & 0.495499 \tabularnewline
57 & 0.010501 & 0.0885 & 0.46487 \tabularnewline
58 & -0.007252 & -0.0611 & 0.475721 \tabularnewline
59 & -0.089955 & -0.758 & 0.225489 \tabularnewline
60 & -0.095869 & -0.8078 & 0.210951 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=31561&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]0.001627[/C][C]0.0137[/C][C]0.49455[/C][/ROW]
[ROW][C]2[/C][C]0.03143[/C][C]0.2648[/C][C]0.395954[/C][/ROW]
[ROW][C]3[/C][C]0.058169[/C][C]0.4901[/C][C]0.312773[/C][/ROW]
[ROW][C]4[/C][C]0.222067[/C][C]1.8712[/C][C]0.032721[/C][/ROW]
[ROW][C]5[/C][C]-0.090701[/C][C]-0.7643[/C][C]0.223622[/C][/ROW]
[ROW][C]6[/C][C]-0.14979[/C][C]-1.2622[/C][C]0.105513[/C][/ROW]
[ROW][C]7[/C][C]0.17371[/C][C]1.4637[/C][C]0.073843[/C][/ROW]
[ROW][C]8[/C][C]-0.101919[/C][C]-0.8588[/C][C]0.196675[/C][/ROW]
[ROW][C]9[/C][C]-0.209933[/C][C]-1.7689[/C][C]0.0406[/C][/ROW]
[ROW][C]10[/C][C]-0.178264[/C][C]-1.5021[/C][C]0.068756[/C][/ROW]
[ROW][C]11[/C][C]0.052189[/C][C]0.4398[/C][C]0.330725[/C][/ROW]
[ROW][C]12[/C][C]-0.382465[/C][C]-3.2227[/C][C]0.000959[/C][/ROW]
[ROW][C]13[/C][C]-0.011088[/C][C]-0.0934[/C][C]0.462914[/C][/ROW]
[ROW][C]14[/C][C]0.018106[/C][C]0.1526[/C][C]0.439587[/C][/ROW]
[ROW][C]15[/C][C]0.040969[/C][C]0.3452[/C][C]0.365478[/C][/ROW]
[ROW][C]16[/C][C]0.052271[/C][C]0.4404[/C][C]0.330476[/C][/ROW]
[ROW][C]17[/C][C]0.054783[/C][C]0.4616[/C][C]0.322886[/C][/ROW]
[ROW][C]18[/C][C]0.126938[/C][C]1.0696[/C][C]0.144211[/C][/ROW]
[ROW][C]19[/C][C]-0.089452[/C][C]-0.7537[/C][C]0.226749[/C][/ROW]
[ROW][C]20[/C][C]-0.009432[/C][C]-0.0795[/C][C]0.46844[/C][/ROW]
[ROW][C]21[/C][C]0.088657[/C][C]0.747[/C][C]0.228753[/C][/ROW]
[ROW][C]22[/C][C]-0.134693[/C][C]-1.1349[/C][C]0.130108[/C][/ROW]
[ROW][C]23[/C][C]0.10082[/C][C]0.8495[/C][C]0.199222[/C][/ROW]
[ROW][C]24[/C][C]-0.045335[/C][C]-0.382[/C][C]0.351802[/C][/ROW]
[ROW][C]25[/C][C]0.043274[/C][C]0.3646[/C][C]0.358234[/C][/ROW]
[ROW][C]26[/C][C]0.07687[/C][C]0.6477[/C][C]0.259629[/C][/ROW]
[ROW][C]27[/C][C]-0.017623[/C][C]-0.1485[/C][C]0.441186[/C][/ROW]
[ROW][C]28[/C][C]-0.064526[/C][C]-0.5437[/C][C]0.294174[/C][/ROW]
[ROW][C]29[/C][C]-0.006001[/C][C]-0.0506[/C][C]0.479906[/C][/ROW]
[ROW][C]30[/C][C]0.133389[/C][C]1.124[/C][C]0.132408[/C][/ROW]
[ROW][C]31[/C][C]0.041664[/C][C]0.3511[/C][C]0.363289[/C][/ROW]
[ROW][C]32[/C][C]-0.050415[/C][C]-0.4248[/C][C]0.336133[/C][/ROW]
[ROW][C]33[/C][C]0.081591[/C][C]0.6875[/C][C]0.247004[/C][/ROW]
[ROW][C]34[/C][C]-0.011264[/C][C]-0.0949[/C][C]0.462326[/C][/ROW]
[ROW][C]35[/C][C]0.030666[/C][C]0.2584[/C][C]0.398425[/C][/ROW]
[ROW][C]36[/C][C]-0.079106[/C][C]-0.6666[/C][C]0.253607[/C][/ROW]
[ROW][C]37[/C][C]-0.056895[/C][C]-0.4794[/C][C]0.316563[/C][/ROW]
[ROW][C]38[/C][C]-0.072612[/C][C]-0.6118[/C][C]0.271298[/C][/ROW]
[ROW][C]39[/C][C]0.071305[/C][C]0.6008[/C][C]0.274936[/C][/ROW]
[ROW][C]40[/C][C]0.000879[/C][C]0.0074[/C][C]0.497056[/C][/ROW]
[ROW][C]41[/C][C]-0.020706[/C][C]-0.1745[/C][C]0.430996[/C][/ROW]
[ROW][C]42[/C][C]-0.028331[/C][C]-0.2387[/C][C]0.406005[/C][/ROW]
[ROW][C]43[/C][C]-0.014082[/C][C]-0.1187[/C][C]0.452941[/C][/ROW]
[ROW][C]44[/C][C]-0.026581[/C][C]-0.224[/C][C]0.411708[/C][/ROW]
[ROW][C]45[/C][C]-0.03157[/C][C]-0.266[/C][C]0.395499[/C][/ROW]
[ROW][C]46[/C][C]-0.110138[/C][C]-0.928[/C][C]0.178265[/C][/ROW]
[ROW][C]47[/C][C]-0.015938[/C][C]-0.1343[/C][C]0.446773[/C][/ROW]
[ROW][C]48[/C][C]-0.098071[/C][C]-0.8264[/C][C]0.205684[/C][/ROW]
[ROW][C]49[/C][C]-0.113598[/C][C]-0.9572[/C][C]0.170859[/C][/ROW]
[ROW][C]50[/C][C]-0.004597[/C][C]-0.0387[/C][C]0.484605[/C][/ROW]
[ROW][C]51[/C][C]-0.02463[/C][C]-0.2075[/C][C]0.418093[/C][/ROW]
[ROW][C]52[/C][C]0.030817[/C][C]0.2597[/C][C]0.397934[/C][/ROW]
[ROW][C]53[/C][C]0.054326[/C][C]0.4578[/C][C]0.324261[/C][/ROW]
[ROW][C]54[/C][C]-0.071539[/C][C]-0.6028[/C][C]0.274283[/C][/ROW]
[ROW][C]55[/C][C]0.0071[/C][C]0.0598[/C][C]0.476233[/C][/ROW]
[ROW][C]56[/C][C]0.001344[/C][C]0.0113[/C][C]0.495499[/C][/ROW]
[ROW][C]57[/C][C]0.010501[/C][C]0.0885[/C][C]0.46487[/C][/ROW]
[ROW][C]58[/C][C]-0.007252[/C][C]-0.0611[/C][C]0.475721[/C][/ROW]
[ROW][C]59[/C][C]-0.089955[/C][C]-0.758[/C][C]0.225489[/C][/ROW]
[ROW][C]60[/C][C]-0.095869[/C][C]-0.8078[/C][C]0.210951[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=31561&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31561&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
10.0016270.01370.49455
20.031430.26480.395954
30.0581690.49010.312773
40.2220671.87120.032721
5-0.090701-0.76430.223622
6-0.14979-1.26220.105513
70.173711.46370.073843
8-0.101919-0.85880.196675
9-0.209933-1.76890.0406
10-0.178264-1.50210.068756
110.0521890.43980.330725
12-0.382465-3.22270.000959
13-0.011088-0.09340.462914
140.0181060.15260.439587
150.0409690.34520.365478
160.0522710.44040.330476
170.0547830.46160.322886
180.1269381.06960.144211
19-0.089452-0.75370.226749
20-0.009432-0.07950.46844
210.0886570.7470.228753
22-0.134693-1.13490.130108
230.100820.84950.199222
24-0.045335-0.3820.351802
250.0432740.36460.358234
260.076870.64770.259629
27-0.017623-0.14850.441186
28-0.064526-0.54370.294174
29-0.006001-0.05060.479906
300.1333891.1240.132408
310.0416640.35110.363289
32-0.050415-0.42480.336133
330.0815910.68750.247004
34-0.011264-0.09490.462326
350.0306660.25840.398425
36-0.079106-0.66660.253607
37-0.056895-0.47940.316563
38-0.072612-0.61180.271298
390.0713050.60080.274936
400.0008790.00740.497056
41-0.020706-0.17450.430996
42-0.028331-0.23870.406005
43-0.014082-0.11870.452941
44-0.026581-0.2240.411708
45-0.03157-0.2660.395499
46-0.110138-0.9280.178265
47-0.015938-0.13430.446773
48-0.098071-0.82640.205684
49-0.113598-0.95720.170859
50-0.004597-0.03870.484605
51-0.02463-0.20750.418093
520.0308170.25970.397934
530.0543260.45780.324261
54-0.071539-0.60280.274283
550.00710.05980.476233
560.0013440.01130.495499
570.0105010.08850.46487
58-0.007252-0.06110.475721
59-0.089955-0.7580.225489
60-0.095869-0.80780.210951



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; 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')