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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 computationMon, 22 Dec 2008 09:05:52 -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/22/t1229961986575kavzjtu9jxgj.htm/, Retrieved Sun, 12 May 2024 20:47:15 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=36110, Retrieved Sun, 12 May 2024 20:47:15 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact157
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Explorative Data Analysis] [Paper - Un. EDA -...] [2008-12-18 11:54:57] [85841a4a203c2f9589565c024425a91b]
- RM D  [Variance Reduction Matrix] [Paper - VRM - Gas] [2008-12-18 12:09:14] [85841a4a203c2f9589565c024425a91b]
- RMP       [(Partial) Autocorrelation Function] [(p)acf gas] [2008-12-22 16:05:52] [1aceffc2fa350402d9e8f8edd757a2e8] [Current]
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Dataseries X:
127.96
127.47
126.47
125.75
125.42
125.14
125.15
125.51
125.63
126.22
126.88
127.96
128.74
129.6
131.2
132.72
134.67
135.94
136.39
136.74
137.2
137.36
138.63
141.07
143.32
147.91
152.56
151.61
156.56
157.45
158.13
159.18
159.47
159.79
161.65
162.77
163.48
166.16
163.86
162.12
149.08
145.32
141.21
134.68
133.65
139.17
138.61
144.96
157.99
167.18
174.48
182.77
190.00
189.70
188.90
198.28
201.18
204.14
221.02
221.12
220.68




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=36110&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=36110&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36110&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
10.518594.0178.3e-05
20.3763412.91510.002496
30.4087893.16650.001213
40.0472560.3660.357809
5-0.249538-1.93290.028985
6-0.172436-1.33570.093348
7-0.225952-1.75020.042597
8-0.277365-2.14850.017862
9-0.224697-1.74050.043449
10-0.051343-0.39770.346132
11-0.047146-0.36520.358128
12-0.190159-1.4730.072994
13-0.001758-0.01360.494591
14-0.109073-0.84490.200769
15-0.266355-2.06320.021715
16-0.131229-1.01650.156738
17-0.123208-0.95440.171864
18-0.205661-1.5930.058203
190.0091130.07060.471979
200.0165930.12850.44908
210.0233590.18090.428513
220.0829850.64280.261402
230.071290.55220.291428
240.038190.29580.384196
250.0209510.16230.435814
26-0.011515-0.08920.464613
27-0.020904-0.16190.435954
28-0.048692-0.37720.35369
29-0.02608-0.2020.420295
300.0239440.18550.426743
310.0078550.06080.475842
320.0740420.57350.284217
330.0919350.71210.239573
340.0848460.65720.256777
350.0959660.74330.230086
360.0947980.73430.232813
370.0947330.73380.232964
380.1092370.84610.200417
390.0838870.64980.259156
400.0435720.33750.368456
410.0354270.27440.392353
42-0.011731-0.09090.463949
43-0.063808-0.49430.311466
44-0.072858-0.56440.287308
45-0.085018-0.65850.256354
46-0.098415-0.76230.224429
47-0.07585-0.58750.279527
48-0.046094-0.3570.361157
49-0.032586-0.25240.400792
50-0.024739-0.19160.42434
51-0.006477-0.05020.480076
52-0.006216-0.04810.48088
53-0.016217-0.12560.450227
54-0.015377-0.11910.452795
55-0.010204-0.0790.468631
56-0.011605-0.08990.464335
57-0.00425-0.03290.486924
580.0075760.05870.476699
590.003280.02540.489907
60NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.51859 & 4.017 & 8.3e-05 \tabularnewline
2 & 0.376341 & 2.9151 & 0.002496 \tabularnewline
3 & 0.408789 & 3.1665 & 0.001213 \tabularnewline
4 & 0.047256 & 0.366 & 0.357809 \tabularnewline
5 & -0.249538 & -1.9329 & 0.028985 \tabularnewline
6 & -0.172436 & -1.3357 & 0.093348 \tabularnewline
7 & -0.225952 & -1.7502 & 0.042597 \tabularnewline
8 & -0.277365 & -2.1485 & 0.017862 \tabularnewline
9 & -0.224697 & -1.7405 & 0.043449 \tabularnewline
10 & -0.051343 & -0.3977 & 0.346132 \tabularnewline
11 & -0.047146 & -0.3652 & 0.358128 \tabularnewline
12 & -0.190159 & -1.473 & 0.072994 \tabularnewline
13 & -0.001758 & -0.0136 & 0.494591 \tabularnewline
14 & -0.109073 & -0.8449 & 0.200769 \tabularnewline
15 & -0.266355 & -2.0632 & 0.021715 \tabularnewline
16 & -0.131229 & -1.0165 & 0.156738 \tabularnewline
17 & -0.123208 & -0.9544 & 0.171864 \tabularnewline
18 & -0.205661 & -1.593 & 0.058203 \tabularnewline
19 & 0.009113 & 0.0706 & 0.471979 \tabularnewline
20 & 0.016593 & 0.1285 & 0.44908 \tabularnewline
21 & 0.023359 & 0.1809 & 0.428513 \tabularnewline
22 & 0.082985 & 0.6428 & 0.261402 \tabularnewline
23 & 0.07129 & 0.5522 & 0.291428 \tabularnewline
24 & 0.03819 & 0.2958 & 0.384196 \tabularnewline
25 & 0.020951 & 0.1623 & 0.435814 \tabularnewline
26 & -0.011515 & -0.0892 & 0.464613 \tabularnewline
27 & -0.020904 & -0.1619 & 0.435954 \tabularnewline
28 & -0.048692 & -0.3772 & 0.35369 \tabularnewline
29 & -0.02608 & -0.202 & 0.420295 \tabularnewline
30 & 0.023944 & 0.1855 & 0.426743 \tabularnewline
31 & 0.007855 & 0.0608 & 0.475842 \tabularnewline
32 & 0.074042 & 0.5735 & 0.284217 \tabularnewline
33 & 0.091935 & 0.7121 & 0.239573 \tabularnewline
34 & 0.084846 & 0.6572 & 0.256777 \tabularnewline
35 & 0.095966 & 0.7433 & 0.230086 \tabularnewline
36 & 0.094798 & 0.7343 & 0.232813 \tabularnewline
37 & 0.094733 & 0.7338 & 0.232964 \tabularnewline
38 & 0.109237 & 0.8461 & 0.200417 \tabularnewline
39 & 0.083887 & 0.6498 & 0.259156 \tabularnewline
40 & 0.043572 & 0.3375 & 0.368456 \tabularnewline
41 & 0.035427 & 0.2744 & 0.392353 \tabularnewline
42 & -0.011731 & -0.0909 & 0.463949 \tabularnewline
43 & -0.063808 & -0.4943 & 0.311466 \tabularnewline
44 & -0.072858 & -0.5644 & 0.287308 \tabularnewline
45 & -0.085018 & -0.6585 & 0.256354 \tabularnewline
46 & -0.098415 & -0.7623 & 0.224429 \tabularnewline
47 & -0.07585 & -0.5875 & 0.279527 \tabularnewline
48 & -0.046094 & -0.357 & 0.361157 \tabularnewline
49 & -0.032586 & -0.2524 & 0.400792 \tabularnewline
50 & -0.024739 & -0.1916 & 0.42434 \tabularnewline
51 & -0.006477 & -0.0502 & 0.480076 \tabularnewline
52 & -0.006216 & -0.0481 & 0.48088 \tabularnewline
53 & -0.016217 & -0.1256 & 0.450227 \tabularnewline
54 & -0.015377 & -0.1191 & 0.452795 \tabularnewline
55 & -0.010204 & -0.079 & 0.468631 \tabularnewline
56 & -0.011605 & -0.0899 & 0.464335 \tabularnewline
57 & -0.00425 & -0.0329 & 0.486924 \tabularnewline
58 & 0.007576 & 0.0587 & 0.476699 \tabularnewline
59 & 0.00328 & 0.0254 & 0.489907 \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36110&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]0.51859[/C][C]4.017[/C][C]8.3e-05[/C][/ROW]
[ROW][C]2[/C][C]0.376341[/C][C]2.9151[/C][C]0.002496[/C][/ROW]
[ROW][C]3[/C][C]0.408789[/C][C]3.1665[/C][C]0.001213[/C][/ROW]
[ROW][C]4[/C][C]0.047256[/C][C]0.366[/C][C]0.357809[/C][/ROW]
[ROW][C]5[/C][C]-0.249538[/C][C]-1.9329[/C][C]0.028985[/C][/ROW]
[ROW][C]6[/C][C]-0.172436[/C][C]-1.3357[/C][C]0.093348[/C][/ROW]
[ROW][C]7[/C][C]-0.225952[/C][C]-1.7502[/C][C]0.042597[/C][/ROW]
[ROW][C]8[/C][C]-0.277365[/C][C]-2.1485[/C][C]0.017862[/C][/ROW]
[ROW][C]9[/C][C]-0.224697[/C][C]-1.7405[/C][C]0.043449[/C][/ROW]
[ROW][C]10[/C][C]-0.051343[/C][C]-0.3977[/C][C]0.346132[/C][/ROW]
[ROW][C]11[/C][C]-0.047146[/C][C]-0.3652[/C][C]0.358128[/C][/ROW]
[ROW][C]12[/C][C]-0.190159[/C][C]-1.473[/C][C]0.072994[/C][/ROW]
[ROW][C]13[/C][C]-0.001758[/C][C]-0.0136[/C][C]0.494591[/C][/ROW]
[ROW][C]14[/C][C]-0.109073[/C][C]-0.8449[/C][C]0.200769[/C][/ROW]
[ROW][C]15[/C][C]-0.266355[/C][C]-2.0632[/C][C]0.021715[/C][/ROW]
[ROW][C]16[/C][C]-0.131229[/C][C]-1.0165[/C][C]0.156738[/C][/ROW]
[ROW][C]17[/C][C]-0.123208[/C][C]-0.9544[/C][C]0.171864[/C][/ROW]
[ROW][C]18[/C][C]-0.205661[/C][C]-1.593[/C][C]0.058203[/C][/ROW]
[ROW][C]19[/C][C]0.009113[/C][C]0.0706[/C][C]0.471979[/C][/ROW]
[ROW][C]20[/C][C]0.016593[/C][C]0.1285[/C][C]0.44908[/C][/ROW]
[ROW][C]21[/C][C]0.023359[/C][C]0.1809[/C][C]0.428513[/C][/ROW]
[ROW][C]22[/C][C]0.082985[/C][C]0.6428[/C][C]0.261402[/C][/ROW]
[ROW][C]23[/C][C]0.07129[/C][C]0.5522[/C][C]0.291428[/C][/ROW]
[ROW][C]24[/C][C]0.03819[/C][C]0.2958[/C][C]0.384196[/C][/ROW]
[ROW][C]25[/C][C]0.020951[/C][C]0.1623[/C][C]0.435814[/C][/ROW]
[ROW][C]26[/C][C]-0.011515[/C][C]-0.0892[/C][C]0.464613[/C][/ROW]
[ROW][C]27[/C][C]-0.020904[/C][C]-0.1619[/C][C]0.435954[/C][/ROW]
[ROW][C]28[/C][C]-0.048692[/C][C]-0.3772[/C][C]0.35369[/C][/ROW]
[ROW][C]29[/C][C]-0.02608[/C][C]-0.202[/C][C]0.420295[/C][/ROW]
[ROW][C]30[/C][C]0.023944[/C][C]0.1855[/C][C]0.426743[/C][/ROW]
[ROW][C]31[/C][C]0.007855[/C][C]0.0608[/C][C]0.475842[/C][/ROW]
[ROW][C]32[/C][C]0.074042[/C][C]0.5735[/C][C]0.284217[/C][/ROW]
[ROW][C]33[/C][C]0.091935[/C][C]0.7121[/C][C]0.239573[/C][/ROW]
[ROW][C]34[/C][C]0.084846[/C][C]0.6572[/C][C]0.256777[/C][/ROW]
[ROW][C]35[/C][C]0.095966[/C][C]0.7433[/C][C]0.230086[/C][/ROW]
[ROW][C]36[/C][C]0.094798[/C][C]0.7343[/C][C]0.232813[/C][/ROW]
[ROW][C]37[/C][C]0.094733[/C][C]0.7338[/C][C]0.232964[/C][/ROW]
[ROW][C]38[/C][C]0.109237[/C][C]0.8461[/C][C]0.200417[/C][/ROW]
[ROW][C]39[/C][C]0.083887[/C][C]0.6498[/C][C]0.259156[/C][/ROW]
[ROW][C]40[/C][C]0.043572[/C][C]0.3375[/C][C]0.368456[/C][/ROW]
[ROW][C]41[/C][C]0.035427[/C][C]0.2744[/C][C]0.392353[/C][/ROW]
[ROW][C]42[/C][C]-0.011731[/C][C]-0.0909[/C][C]0.463949[/C][/ROW]
[ROW][C]43[/C][C]-0.063808[/C][C]-0.4943[/C][C]0.311466[/C][/ROW]
[ROW][C]44[/C][C]-0.072858[/C][C]-0.5644[/C][C]0.287308[/C][/ROW]
[ROW][C]45[/C][C]-0.085018[/C][C]-0.6585[/C][C]0.256354[/C][/ROW]
[ROW][C]46[/C][C]-0.098415[/C][C]-0.7623[/C][C]0.224429[/C][/ROW]
[ROW][C]47[/C][C]-0.07585[/C][C]-0.5875[/C][C]0.279527[/C][/ROW]
[ROW][C]48[/C][C]-0.046094[/C][C]-0.357[/C][C]0.361157[/C][/ROW]
[ROW][C]49[/C][C]-0.032586[/C][C]-0.2524[/C][C]0.400792[/C][/ROW]
[ROW][C]50[/C][C]-0.024739[/C][C]-0.1916[/C][C]0.42434[/C][/ROW]
[ROW][C]51[/C][C]-0.006477[/C][C]-0.0502[/C][C]0.480076[/C][/ROW]
[ROW][C]52[/C][C]-0.006216[/C][C]-0.0481[/C][C]0.48088[/C][/ROW]
[ROW][C]53[/C][C]-0.016217[/C][C]-0.1256[/C][C]0.450227[/C][/ROW]
[ROW][C]54[/C][C]-0.015377[/C][C]-0.1191[/C][C]0.452795[/C][/ROW]
[ROW][C]55[/C][C]-0.010204[/C][C]-0.079[/C][C]0.468631[/C][/ROW]
[ROW][C]56[/C][C]-0.011605[/C][C]-0.0899[/C][C]0.464335[/C][/ROW]
[ROW][C]57[/C][C]-0.00425[/C][C]-0.0329[/C][C]0.486924[/C][/ROW]
[ROW][C]58[/C][C]0.007576[/C][C]0.0587[/C][C]0.476699[/C][/ROW]
[ROW][C]59[/C][C]0.00328[/C][C]0.0254[/C][C]0.489907[/C][/ROW]
[ROW][C]60[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36110&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36110&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
10.518594.0178.3e-05
20.3763412.91510.002496
30.4087893.16650.001213
40.0472560.3660.357809
5-0.249538-1.93290.028985
6-0.172436-1.33570.093348
7-0.225952-1.75020.042597
8-0.277365-2.14850.017862
9-0.224697-1.74050.043449
10-0.051343-0.39770.346132
11-0.047146-0.36520.358128
12-0.190159-1.4730.072994
13-0.001758-0.01360.494591
14-0.109073-0.84490.200769
15-0.266355-2.06320.021715
16-0.131229-1.01650.156738
17-0.123208-0.95440.171864
18-0.205661-1.5930.058203
190.0091130.07060.471979
200.0165930.12850.44908
210.0233590.18090.428513
220.0829850.64280.261402
230.071290.55220.291428
240.038190.29580.384196
250.0209510.16230.435814
26-0.011515-0.08920.464613
27-0.020904-0.16190.435954
28-0.048692-0.37720.35369
29-0.02608-0.2020.420295
300.0239440.18550.426743
310.0078550.06080.475842
320.0740420.57350.284217
330.0919350.71210.239573
340.0848460.65720.256777
350.0959660.74330.230086
360.0947980.73430.232813
370.0947330.73380.232964
380.1092370.84610.200417
390.0838870.64980.259156
400.0435720.33750.368456
410.0354270.27440.392353
42-0.011731-0.09090.463949
43-0.063808-0.49430.311466
44-0.072858-0.56440.287308
45-0.085018-0.65850.256354
46-0.098415-0.76230.224429
47-0.07585-0.58750.279527
48-0.046094-0.3570.361157
49-0.032586-0.25240.400792
50-0.024739-0.19160.42434
51-0.006477-0.05020.480076
52-0.006216-0.04810.48088
53-0.016217-0.12560.450227
54-0.015377-0.11910.452795
55-0.010204-0.0790.468631
56-0.011605-0.08990.464335
57-0.00425-0.03290.486924
580.0075760.05870.476699
590.003280.02540.489907
60NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.518594.0178.3e-05
20.1469161.1380.129821
30.2322251.79880.03854
4-0.379336-2.93830.002339
5-0.426123-3.30070.000813
60.0331110.25650.399231
70.1944821.50640.0686
80.1844141.42850.079172
9-0.246618-1.91030.030439
10-0.075473-0.58460.2805
110.0036680.02840.488714
12-0.280407-2.1720.016908
130.1103010.85440.198145
14-0.225338-1.74550.043012
15-0.006383-0.04940.480366
160.0530220.41070.341376
17-0.079425-0.61520.270366
18-0.013062-0.10120.459875
190.0423450.3280.372024
20-0.134051-1.03840.151636
21-0.089153-0.69060.246248
22-0.085523-0.66250.255107
23-0.001531-0.01190.495287
24-0.021926-0.16980.432853
250.0768270.59510.277008
26-0.131498-1.01860.156245
27-0.15621-1.210.115512
28-0.0062-0.0480.480928
29-0.056394-0.43680.331902
300.0352790.27330.392793
310.0512960.39730.346264
32-0.098934-0.76630.22324
33-0.019864-0.15390.439116
340.0341610.26460.39611
35-0.03074-0.23810.406302
36-0.001007-0.00780.496901
370.1412761.09430.139095
380.0060770.04710.481305
39-0.004331-0.03350.486675
40-0.147772-1.14460.128452
41-0.073994-0.57320.28434
420.0802920.62190.268168
430.0739450.57280.284467
44-0.024837-0.19240.424046
45-0.084583-0.65520.257428
460.0667230.51680.303586
470.023940.18540.426754
480.00860.06660.473555
490.0074070.05740.477218
50-0.120868-0.93620.176452
510.0577320.44720.328173
520.0471920.36550.357993
530.0484540.37530.354371
540.0576090.44620.328517
55-0.038774-0.30030.382477
56-0.0497-0.3850.35081
57-0.068343-0.52940.299246
58-0.001311-0.01020.495965
590.0390820.30270.381572
60NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.51859 & 4.017 & 8.3e-05 \tabularnewline
2 & 0.146916 & 1.138 & 0.129821 \tabularnewline
3 & 0.232225 & 1.7988 & 0.03854 \tabularnewline
4 & -0.379336 & -2.9383 & 0.002339 \tabularnewline
5 & -0.426123 & -3.3007 & 0.000813 \tabularnewline
6 & 0.033111 & 0.2565 & 0.399231 \tabularnewline
7 & 0.194482 & 1.5064 & 0.0686 \tabularnewline
8 & 0.184414 & 1.4285 & 0.079172 \tabularnewline
9 & -0.246618 & -1.9103 & 0.030439 \tabularnewline
10 & -0.075473 & -0.5846 & 0.2805 \tabularnewline
11 & 0.003668 & 0.0284 & 0.488714 \tabularnewline
12 & -0.280407 & -2.172 & 0.016908 \tabularnewline
13 & 0.110301 & 0.8544 & 0.198145 \tabularnewline
14 & -0.225338 & -1.7455 & 0.043012 \tabularnewline
15 & -0.006383 & -0.0494 & 0.480366 \tabularnewline
16 & 0.053022 & 0.4107 & 0.341376 \tabularnewline
17 & -0.079425 & -0.6152 & 0.270366 \tabularnewline
18 & -0.013062 & -0.1012 & 0.459875 \tabularnewline
19 & 0.042345 & 0.328 & 0.372024 \tabularnewline
20 & -0.134051 & -1.0384 & 0.151636 \tabularnewline
21 & -0.089153 & -0.6906 & 0.246248 \tabularnewline
22 & -0.085523 & -0.6625 & 0.255107 \tabularnewline
23 & -0.001531 & -0.0119 & 0.495287 \tabularnewline
24 & -0.021926 & -0.1698 & 0.432853 \tabularnewline
25 & 0.076827 & 0.5951 & 0.277008 \tabularnewline
26 & -0.131498 & -1.0186 & 0.156245 \tabularnewline
27 & -0.15621 & -1.21 & 0.115512 \tabularnewline
28 & -0.0062 & -0.048 & 0.480928 \tabularnewline
29 & -0.056394 & -0.4368 & 0.331902 \tabularnewline
30 & 0.035279 & 0.2733 & 0.392793 \tabularnewline
31 & 0.051296 & 0.3973 & 0.346264 \tabularnewline
32 & -0.098934 & -0.7663 & 0.22324 \tabularnewline
33 & -0.019864 & -0.1539 & 0.439116 \tabularnewline
34 & 0.034161 & 0.2646 & 0.39611 \tabularnewline
35 & -0.03074 & -0.2381 & 0.406302 \tabularnewline
36 & -0.001007 & -0.0078 & 0.496901 \tabularnewline
37 & 0.141276 & 1.0943 & 0.139095 \tabularnewline
38 & 0.006077 & 0.0471 & 0.481305 \tabularnewline
39 & -0.004331 & -0.0335 & 0.486675 \tabularnewline
40 & -0.147772 & -1.1446 & 0.128452 \tabularnewline
41 & -0.073994 & -0.5732 & 0.28434 \tabularnewline
42 & 0.080292 & 0.6219 & 0.268168 \tabularnewline
43 & 0.073945 & 0.5728 & 0.284467 \tabularnewline
44 & -0.024837 & -0.1924 & 0.424046 \tabularnewline
45 & -0.084583 & -0.6552 & 0.257428 \tabularnewline
46 & 0.066723 & 0.5168 & 0.303586 \tabularnewline
47 & 0.02394 & 0.1854 & 0.426754 \tabularnewline
48 & 0.0086 & 0.0666 & 0.473555 \tabularnewline
49 & 0.007407 & 0.0574 & 0.477218 \tabularnewline
50 & -0.120868 & -0.9362 & 0.176452 \tabularnewline
51 & 0.057732 & 0.4472 & 0.328173 \tabularnewline
52 & 0.047192 & 0.3655 & 0.357993 \tabularnewline
53 & 0.048454 & 0.3753 & 0.354371 \tabularnewline
54 & 0.057609 & 0.4462 & 0.328517 \tabularnewline
55 & -0.038774 & -0.3003 & 0.382477 \tabularnewline
56 & -0.0497 & -0.385 & 0.35081 \tabularnewline
57 & -0.068343 & -0.5294 & 0.299246 \tabularnewline
58 & -0.001311 & -0.0102 & 0.495965 \tabularnewline
59 & 0.039082 & 0.3027 & 0.381572 \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36110&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]0.51859[/C][C]4.017[/C][C]8.3e-05[/C][/ROW]
[ROW][C]2[/C][C]0.146916[/C][C]1.138[/C][C]0.129821[/C][/ROW]
[ROW][C]3[/C][C]0.232225[/C][C]1.7988[/C][C]0.03854[/C][/ROW]
[ROW][C]4[/C][C]-0.379336[/C][C]-2.9383[/C][C]0.002339[/C][/ROW]
[ROW][C]5[/C][C]-0.426123[/C][C]-3.3007[/C][C]0.000813[/C][/ROW]
[ROW][C]6[/C][C]0.033111[/C][C]0.2565[/C][C]0.399231[/C][/ROW]
[ROW][C]7[/C][C]0.194482[/C][C]1.5064[/C][C]0.0686[/C][/ROW]
[ROW][C]8[/C][C]0.184414[/C][C]1.4285[/C][C]0.079172[/C][/ROW]
[ROW][C]9[/C][C]-0.246618[/C][C]-1.9103[/C][C]0.030439[/C][/ROW]
[ROW][C]10[/C][C]-0.075473[/C][C]-0.5846[/C][C]0.2805[/C][/ROW]
[ROW][C]11[/C][C]0.003668[/C][C]0.0284[/C][C]0.488714[/C][/ROW]
[ROW][C]12[/C][C]-0.280407[/C][C]-2.172[/C][C]0.016908[/C][/ROW]
[ROW][C]13[/C][C]0.110301[/C][C]0.8544[/C][C]0.198145[/C][/ROW]
[ROW][C]14[/C][C]-0.225338[/C][C]-1.7455[/C][C]0.043012[/C][/ROW]
[ROW][C]15[/C][C]-0.006383[/C][C]-0.0494[/C][C]0.480366[/C][/ROW]
[ROW][C]16[/C][C]0.053022[/C][C]0.4107[/C][C]0.341376[/C][/ROW]
[ROW][C]17[/C][C]-0.079425[/C][C]-0.6152[/C][C]0.270366[/C][/ROW]
[ROW][C]18[/C][C]-0.013062[/C][C]-0.1012[/C][C]0.459875[/C][/ROW]
[ROW][C]19[/C][C]0.042345[/C][C]0.328[/C][C]0.372024[/C][/ROW]
[ROW][C]20[/C][C]-0.134051[/C][C]-1.0384[/C][C]0.151636[/C][/ROW]
[ROW][C]21[/C][C]-0.089153[/C][C]-0.6906[/C][C]0.246248[/C][/ROW]
[ROW][C]22[/C][C]-0.085523[/C][C]-0.6625[/C][C]0.255107[/C][/ROW]
[ROW][C]23[/C][C]-0.001531[/C][C]-0.0119[/C][C]0.495287[/C][/ROW]
[ROW][C]24[/C][C]-0.021926[/C][C]-0.1698[/C][C]0.432853[/C][/ROW]
[ROW][C]25[/C][C]0.076827[/C][C]0.5951[/C][C]0.277008[/C][/ROW]
[ROW][C]26[/C][C]-0.131498[/C][C]-1.0186[/C][C]0.156245[/C][/ROW]
[ROW][C]27[/C][C]-0.15621[/C][C]-1.21[/C][C]0.115512[/C][/ROW]
[ROW][C]28[/C][C]-0.0062[/C][C]-0.048[/C][C]0.480928[/C][/ROW]
[ROW][C]29[/C][C]-0.056394[/C][C]-0.4368[/C][C]0.331902[/C][/ROW]
[ROW][C]30[/C][C]0.035279[/C][C]0.2733[/C][C]0.392793[/C][/ROW]
[ROW][C]31[/C][C]0.051296[/C][C]0.3973[/C][C]0.346264[/C][/ROW]
[ROW][C]32[/C][C]-0.098934[/C][C]-0.7663[/C][C]0.22324[/C][/ROW]
[ROW][C]33[/C][C]-0.019864[/C][C]-0.1539[/C][C]0.439116[/C][/ROW]
[ROW][C]34[/C][C]0.034161[/C][C]0.2646[/C][C]0.39611[/C][/ROW]
[ROW][C]35[/C][C]-0.03074[/C][C]-0.2381[/C][C]0.406302[/C][/ROW]
[ROW][C]36[/C][C]-0.001007[/C][C]-0.0078[/C][C]0.496901[/C][/ROW]
[ROW][C]37[/C][C]0.141276[/C][C]1.0943[/C][C]0.139095[/C][/ROW]
[ROW][C]38[/C][C]0.006077[/C][C]0.0471[/C][C]0.481305[/C][/ROW]
[ROW][C]39[/C][C]-0.004331[/C][C]-0.0335[/C][C]0.486675[/C][/ROW]
[ROW][C]40[/C][C]-0.147772[/C][C]-1.1446[/C][C]0.128452[/C][/ROW]
[ROW][C]41[/C][C]-0.073994[/C][C]-0.5732[/C][C]0.28434[/C][/ROW]
[ROW][C]42[/C][C]0.080292[/C][C]0.6219[/C][C]0.268168[/C][/ROW]
[ROW][C]43[/C][C]0.073945[/C][C]0.5728[/C][C]0.284467[/C][/ROW]
[ROW][C]44[/C][C]-0.024837[/C][C]-0.1924[/C][C]0.424046[/C][/ROW]
[ROW][C]45[/C][C]-0.084583[/C][C]-0.6552[/C][C]0.257428[/C][/ROW]
[ROW][C]46[/C][C]0.066723[/C][C]0.5168[/C][C]0.303586[/C][/ROW]
[ROW][C]47[/C][C]0.02394[/C][C]0.1854[/C][C]0.426754[/C][/ROW]
[ROW][C]48[/C][C]0.0086[/C][C]0.0666[/C][C]0.473555[/C][/ROW]
[ROW][C]49[/C][C]0.007407[/C][C]0.0574[/C][C]0.477218[/C][/ROW]
[ROW][C]50[/C][C]-0.120868[/C][C]-0.9362[/C][C]0.176452[/C][/ROW]
[ROW][C]51[/C][C]0.057732[/C][C]0.4472[/C][C]0.328173[/C][/ROW]
[ROW][C]52[/C][C]0.047192[/C][C]0.3655[/C][C]0.357993[/C][/ROW]
[ROW][C]53[/C][C]0.048454[/C][C]0.3753[/C][C]0.354371[/C][/ROW]
[ROW][C]54[/C][C]0.057609[/C][C]0.4462[/C][C]0.328517[/C][/ROW]
[ROW][C]55[/C][C]-0.038774[/C][C]-0.3003[/C][C]0.382477[/C][/ROW]
[ROW][C]56[/C][C]-0.0497[/C][C]-0.385[/C][C]0.35081[/C][/ROW]
[ROW][C]57[/C][C]-0.068343[/C][C]-0.5294[/C][C]0.299246[/C][/ROW]
[ROW][C]58[/C][C]-0.001311[/C][C]-0.0102[/C][C]0.495965[/C][/ROW]
[ROW][C]59[/C][C]0.039082[/C][C]0.3027[/C][C]0.381572[/C][/ROW]
[ROW][C]60[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36110&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36110&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
10.518594.0178.3e-05
20.1469161.1380.129821
30.2322251.79880.03854
4-0.379336-2.93830.002339
5-0.426123-3.30070.000813
60.0331110.25650.399231
70.1944821.50640.0686
80.1844141.42850.079172
9-0.246618-1.91030.030439
10-0.075473-0.58460.2805
110.0036680.02840.488714
12-0.280407-2.1720.016908
130.1103010.85440.198145
14-0.225338-1.74550.043012
15-0.006383-0.04940.480366
160.0530220.41070.341376
17-0.079425-0.61520.270366
18-0.013062-0.10120.459875
190.0423450.3280.372024
20-0.134051-1.03840.151636
21-0.089153-0.69060.246248
22-0.085523-0.66250.255107
23-0.001531-0.01190.495287
24-0.021926-0.16980.432853
250.0768270.59510.277008
26-0.131498-1.01860.156245
27-0.15621-1.210.115512
28-0.0062-0.0480.480928
29-0.056394-0.43680.331902
300.0352790.27330.392793
310.0512960.39730.346264
32-0.098934-0.76630.22324
33-0.019864-0.15390.439116
340.0341610.26460.39611
35-0.03074-0.23810.406302
36-0.001007-0.00780.496901
370.1412761.09430.139095
380.0060770.04710.481305
39-0.004331-0.03350.486675
40-0.147772-1.14460.128452
41-0.073994-0.57320.28434
420.0802920.62190.268168
430.0739450.57280.284467
44-0.024837-0.19240.424046
45-0.084583-0.65520.257428
460.0667230.51680.303586
470.023940.18540.426754
480.00860.06660.473555
490.0074070.05740.477218
50-0.120868-0.93620.176452
510.0577320.44720.328173
520.0471920.36550.357993
530.0484540.37530.354371
540.0576090.44620.328517
55-0.038774-0.30030.382477
56-0.0497-0.3850.35081
57-0.068343-0.52940.299246
58-0.001311-0.01020.495965
590.0390820.30270.381572
60NANANA



Parameters (Session):
par1 = 60 ; par2 = -2.0 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = -2.0 ; 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')