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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 computationWed, 09 Dec 2009 07:59:18 -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/2009/Dec/09/t1260370784g6vmi2me216cwqe.htm/, Retrieved Thu, 31 Oct 2024 23:56:39 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=64982, Retrieved Thu, 31 Oct 2024 23:56:39 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact171
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Explorative Data Analysis] [Run Sequence gebo...] [2008-12-12 13:32:37] [76963dc1903f0f612b6153510a3818cf]
- R  D  [Univariate Explorative Data Analysis] [Run Sequence gebo...] [2008-12-17 12:14:40] [76963dc1903f0f612b6153510a3818cf]
-         [Univariate Explorative Data Analysis] [Run Sequence Plot...] [2008-12-22 18:19:51] [1ce0d16c8f4225c977b42c8fa93bc163]
- RMP       [(Partial) Autocorrelation Function] [Identifying Integ...] [2009-11-22 12:16:10] [b98453cac15ba1066b407e146608df68]
- R PD        [(Partial) Autocorrelation Function] [WS08 - PACF d = 0...] [2009-11-25 20:36:50] [df6326eec97a6ca984a853b142930499]
-    D            [(Partial) Autocorrelation Function] [WS10 - PACF Y d =...] [2009-12-09 14:59:18] [0cc924834281808eda7297686c82928f] [Current]
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Dataseries X:
286.1
307
358.1
341.8
378.8
375.2
295.6
362.7
409.6
336.8
389.1
389.3
355.9
542
648.4
452
582.4
506.5
555.5
530.4
609.4
543.9
616.2
634.6
541.7
549.8
627.6
797.4
689.8
1576.6
1572.1
1626.4
1972.4
1509.6
1584.9
1880
1324
1777.7
2172.4
1780.3
2134.9
1838.4
1557
1755.2
1702
1577.5
1485.9
2179.1
1740.9
1724.5
2328.1
1774.1
2224.2
1536.3
1521.2
2051.8
2483.1
1929.8
1808.6
2584.9
1997.9
1639.9
2379.1
1715
2750.9
1865.4
1647.4
2180.4
2593
2057.2
2635.8
2315.4
1863.6
2038
2235.8
2222.1
2636.9
2076.8
1935.5
2086.3
2470.9
1854.6
2041.3
2170.8
1905.5
2130.2
2791.2
2539.7
2661.3
1764.9
2176.9
2458.5
2179
2242.5
2089.6
2661.6
2112
2367.3
2543
2603.9
3146.7
1789.2
2114.8
2236.3
2288.1
2173.2
1877.7
2807.4
2357.4
2107.7
2856.8
2510.8
2875
2229.7
2055.1
2545.4
2775.1
2252.2
2091.7
2433




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=64982&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=64982&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=64982&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.8459299.26670
20.8204188.98720
30.8241549.02820
40.7769768.51130
50.7682948.41620
60.7296567.9930
70.7087497.7640
80.695937.62350
90.6732427.3750
100.6132526.71780
110.5887086.4490
120.6366836.97450
130.5274915.77840
140.498395.45960
150.4997095.4740
160.4733655.18540
170.4640435.08331e-06
180.436144.77773e-06
190.4008244.39081.2e-05
200.3791224.15313.1e-05
210.3518623.85459.4e-05
220.2918923.19750.000886
230.2712922.97190.001789
240.2962893.24570.000759
250.2133932.33760.010532
260.1841642.01740.022942
270.1781041.9510.026692
280.1366381.49680.068536
290.1196731.3110.096188
300.1149421.25910.105213
310.0847280.92820.177596
320.0747040.81830.207392
330.0682760.74790.227983
340.0253840.27810.390721
350.0411630.45090.326429
360.0681520.74660.228391
370.0041760.04570.481795
380.0075250.08240.467219
390.015930.17450.430882
400.0018050.01980.492127
41-0.002262-0.02480.490137
42-0.026049-0.28530.387934
43-0.027542-0.30170.3817
44-0.051605-0.56530.28646
45-0.055356-0.60640.2727
46-0.083382-0.91340.181431
47-0.098087-1.07450.14238
48-0.055813-0.61140.271045
49-0.119851-1.31290.09586
50-0.128888-1.41190.080284
51-0.116634-1.27770.101917
52-0.136265-1.49270.06907
53-0.132777-1.45450.07421
54-0.155918-1.7080.045111
55-0.159989-1.75260.041113
56-0.166259-1.82130.035528
57-0.156792-1.71760.044227
58-0.190133-2.08280.019696
59-0.196064-2.14780.016871
60-0.164739-1.80460.036821

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.845929 & 9.2667 & 0 \tabularnewline
2 & 0.820418 & 8.9872 & 0 \tabularnewline
3 & 0.824154 & 9.0282 & 0 \tabularnewline
4 & 0.776976 & 8.5113 & 0 \tabularnewline
5 & 0.768294 & 8.4162 & 0 \tabularnewline
6 & 0.729656 & 7.993 & 0 \tabularnewline
7 & 0.708749 & 7.764 & 0 \tabularnewline
8 & 0.69593 & 7.6235 & 0 \tabularnewline
9 & 0.673242 & 7.375 & 0 \tabularnewline
10 & 0.613252 & 6.7178 & 0 \tabularnewline
11 & 0.588708 & 6.449 & 0 \tabularnewline
12 & 0.636683 & 6.9745 & 0 \tabularnewline
13 & 0.527491 & 5.7784 & 0 \tabularnewline
14 & 0.49839 & 5.4596 & 0 \tabularnewline
15 & 0.499709 & 5.474 & 0 \tabularnewline
16 & 0.473365 & 5.1854 & 0 \tabularnewline
17 & 0.464043 & 5.0833 & 1e-06 \tabularnewline
18 & 0.43614 & 4.7777 & 3e-06 \tabularnewline
19 & 0.400824 & 4.3908 & 1.2e-05 \tabularnewline
20 & 0.379122 & 4.1531 & 3.1e-05 \tabularnewline
21 & 0.351862 & 3.8545 & 9.4e-05 \tabularnewline
22 & 0.291892 & 3.1975 & 0.000886 \tabularnewline
23 & 0.271292 & 2.9719 & 0.001789 \tabularnewline
24 & 0.296289 & 3.2457 & 0.000759 \tabularnewline
25 & 0.213393 & 2.3376 & 0.010532 \tabularnewline
26 & 0.184164 & 2.0174 & 0.022942 \tabularnewline
27 & 0.178104 & 1.951 & 0.026692 \tabularnewline
28 & 0.136638 & 1.4968 & 0.068536 \tabularnewline
29 & 0.119673 & 1.311 & 0.096188 \tabularnewline
30 & 0.114942 & 1.2591 & 0.105213 \tabularnewline
31 & 0.084728 & 0.9282 & 0.177596 \tabularnewline
32 & 0.074704 & 0.8183 & 0.207392 \tabularnewline
33 & 0.068276 & 0.7479 & 0.227983 \tabularnewline
34 & 0.025384 & 0.2781 & 0.390721 \tabularnewline
35 & 0.041163 & 0.4509 & 0.326429 \tabularnewline
36 & 0.068152 & 0.7466 & 0.228391 \tabularnewline
37 & 0.004176 & 0.0457 & 0.481795 \tabularnewline
38 & 0.007525 & 0.0824 & 0.467219 \tabularnewline
39 & 0.01593 & 0.1745 & 0.430882 \tabularnewline
40 & 0.001805 & 0.0198 & 0.492127 \tabularnewline
41 & -0.002262 & -0.0248 & 0.490137 \tabularnewline
42 & -0.026049 & -0.2853 & 0.387934 \tabularnewline
43 & -0.027542 & -0.3017 & 0.3817 \tabularnewline
44 & -0.051605 & -0.5653 & 0.28646 \tabularnewline
45 & -0.055356 & -0.6064 & 0.2727 \tabularnewline
46 & -0.083382 & -0.9134 & 0.181431 \tabularnewline
47 & -0.098087 & -1.0745 & 0.14238 \tabularnewline
48 & -0.055813 & -0.6114 & 0.271045 \tabularnewline
49 & -0.119851 & -1.3129 & 0.09586 \tabularnewline
50 & -0.128888 & -1.4119 & 0.080284 \tabularnewline
51 & -0.116634 & -1.2777 & 0.101917 \tabularnewline
52 & -0.136265 & -1.4927 & 0.06907 \tabularnewline
53 & -0.132777 & -1.4545 & 0.07421 \tabularnewline
54 & -0.155918 & -1.708 & 0.045111 \tabularnewline
55 & -0.159989 & -1.7526 & 0.041113 \tabularnewline
56 & -0.166259 & -1.8213 & 0.035528 \tabularnewline
57 & -0.156792 & -1.7176 & 0.044227 \tabularnewline
58 & -0.190133 & -2.0828 & 0.019696 \tabularnewline
59 & -0.196064 & -2.1478 & 0.016871 \tabularnewline
60 & -0.164739 & -1.8046 & 0.036821 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=64982&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]0.845929[/C][C]9.2667[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.820418[/C][C]8.9872[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.824154[/C][C]9.0282[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.776976[/C][C]8.5113[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.768294[/C][C]8.4162[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.729656[/C][C]7.993[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.708749[/C][C]7.764[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.69593[/C][C]7.6235[/C][C]0[/C][/ROW]
[ROW][C]9[/C][C]0.673242[/C][C]7.375[/C][C]0[/C][/ROW]
[ROW][C]10[/C][C]0.613252[/C][C]6.7178[/C][C]0[/C][/ROW]
[ROW][C]11[/C][C]0.588708[/C][C]6.449[/C][C]0[/C][/ROW]
[ROW][C]12[/C][C]0.636683[/C][C]6.9745[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.527491[/C][C]5.7784[/C][C]0[/C][/ROW]
[ROW][C]14[/C][C]0.49839[/C][C]5.4596[/C][C]0[/C][/ROW]
[ROW][C]15[/C][C]0.499709[/C][C]5.474[/C][C]0[/C][/ROW]
[ROW][C]16[/C][C]0.473365[/C][C]5.1854[/C][C]0[/C][/ROW]
[ROW][C]17[/C][C]0.464043[/C][C]5.0833[/C][C]1e-06[/C][/ROW]
[ROW][C]18[/C][C]0.43614[/C][C]4.7777[/C][C]3e-06[/C][/ROW]
[ROW][C]19[/C][C]0.400824[/C][C]4.3908[/C][C]1.2e-05[/C][/ROW]
[ROW][C]20[/C][C]0.379122[/C][C]4.1531[/C][C]3.1e-05[/C][/ROW]
[ROW][C]21[/C][C]0.351862[/C][C]3.8545[/C][C]9.4e-05[/C][/ROW]
[ROW][C]22[/C][C]0.291892[/C][C]3.1975[/C][C]0.000886[/C][/ROW]
[ROW][C]23[/C][C]0.271292[/C][C]2.9719[/C][C]0.001789[/C][/ROW]
[ROW][C]24[/C][C]0.296289[/C][C]3.2457[/C][C]0.000759[/C][/ROW]
[ROW][C]25[/C][C]0.213393[/C][C]2.3376[/C][C]0.010532[/C][/ROW]
[ROW][C]26[/C][C]0.184164[/C][C]2.0174[/C][C]0.022942[/C][/ROW]
[ROW][C]27[/C][C]0.178104[/C][C]1.951[/C][C]0.026692[/C][/ROW]
[ROW][C]28[/C][C]0.136638[/C][C]1.4968[/C][C]0.068536[/C][/ROW]
[ROW][C]29[/C][C]0.119673[/C][C]1.311[/C][C]0.096188[/C][/ROW]
[ROW][C]30[/C][C]0.114942[/C][C]1.2591[/C][C]0.105213[/C][/ROW]
[ROW][C]31[/C][C]0.084728[/C][C]0.9282[/C][C]0.177596[/C][/ROW]
[ROW][C]32[/C][C]0.074704[/C][C]0.8183[/C][C]0.207392[/C][/ROW]
[ROW][C]33[/C][C]0.068276[/C][C]0.7479[/C][C]0.227983[/C][/ROW]
[ROW][C]34[/C][C]0.025384[/C][C]0.2781[/C][C]0.390721[/C][/ROW]
[ROW][C]35[/C][C]0.041163[/C][C]0.4509[/C][C]0.326429[/C][/ROW]
[ROW][C]36[/C][C]0.068152[/C][C]0.7466[/C][C]0.228391[/C][/ROW]
[ROW][C]37[/C][C]0.004176[/C][C]0.0457[/C][C]0.481795[/C][/ROW]
[ROW][C]38[/C][C]0.007525[/C][C]0.0824[/C][C]0.467219[/C][/ROW]
[ROW][C]39[/C][C]0.01593[/C][C]0.1745[/C][C]0.430882[/C][/ROW]
[ROW][C]40[/C][C]0.001805[/C][C]0.0198[/C][C]0.492127[/C][/ROW]
[ROW][C]41[/C][C]-0.002262[/C][C]-0.0248[/C][C]0.490137[/C][/ROW]
[ROW][C]42[/C][C]-0.026049[/C][C]-0.2853[/C][C]0.387934[/C][/ROW]
[ROW][C]43[/C][C]-0.027542[/C][C]-0.3017[/C][C]0.3817[/C][/ROW]
[ROW][C]44[/C][C]-0.051605[/C][C]-0.5653[/C][C]0.28646[/C][/ROW]
[ROW][C]45[/C][C]-0.055356[/C][C]-0.6064[/C][C]0.2727[/C][/ROW]
[ROW][C]46[/C][C]-0.083382[/C][C]-0.9134[/C][C]0.181431[/C][/ROW]
[ROW][C]47[/C][C]-0.098087[/C][C]-1.0745[/C][C]0.14238[/C][/ROW]
[ROW][C]48[/C][C]-0.055813[/C][C]-0.6114[/C][C]0.271045[/C][/ROW]
[ROW][C]49[/C][C]-0.119851[/C][C]-1.3129[/C][C]0.09586[/C][/ROW]
[ROW][C]50[/C][C]-0.128888[/C][C]-1.4119[/C][C]0.080284[/C][/ROW]
[ROW][C]51[/C][C]-0.116634[/C][C]-1.2777[/C][C]0.101917[/C][/ROW]
[ROW][C]52[/C][C]-0.136265[/C][C]-1.4927[/C][C]0.06907[/C][/ROW]
[ROW][C]53[/C][C]-0.132777[/C][C]-1.4545[/C][C]0.07421[/C][/ROW]
[ROW][C]54[/C][C]-0.155918[/C][C]-1.708[/C][C]0.045111[/C][/ROW]
[ROW][C]55[/C][C]-0.159989[/C][C]-1.7526[/C][C]0.041113[/C][/ROW]
[ROW][C]56[/C][C]-0.166259[/C][C]-1.8213[/C][C]0.035528[/C][/ROW]
[ROW][C]57[/C][C]-0.156792[/C][C]-1.7176[/C][C]0.044227[/C][/ROW]
[ROW][C]58[/C][C]-0.190133[/C][C]-2.0828[/C][C]0.019696[/C][/ROW]
[ROW][C]59[/C][C]-0.196064[/C][C]-2.1478[/C][C]0.016871[/C][/ROW]
[ROW][C]60[/C][C]-0.164739[/C][C]-1.8046[/C][C]0.036821[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=64982&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=64982&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
10.8459299.26670
20.8204188.98720
30.8241549.02820
40.7769768.51130
50.7682948.41620
60.7296567.9930
70.7087497.7640
80.695937.62350
90.6732427.3750
100.6132526.71780
110.5887086.4490
120.6366836.97450
130.5274915.77840
140.498395.45960
150.4997095.4740
160.4733655.18540
170.4640435.08331e-06
180.436144.77773e-06
190.4008244.39081.2e-05
200.3791224.15313.1e-05
210.3518623.85459.4e-05
220.2918923.19750.000886
230.2712922.97190.001789
240.2962893.24570.000759
250.2133932.33760.010532
260.1841642.01740.022942
270.1781041.9510.026692
280.1366381.49680.068536
290.1196731.3110.096188
300.1149421.25910.105213
310.0847280.92820.177596
320.0747040.81830.207392
330.0682760.74790.227983
340.0253840.27810.390721
350.0411630.45090.326429
360.0681520.74660.228391
370.0041760.04570.481795
380.0075250.08240.467219
390.015930.17450.430882
400.0018050.01980.492127
41-0.002262-0.02480.490137
42-0.026049-0.28530.387934
43-0.027542-0.30170.3817
44-0.051605-0.56530.28646
45-0.055356-0.60640.2727
46-0.083382-0.91340.181431
47-0.098087-1.07450.14238
48-0.055813-0.61140.271045
49-0.119851-1.31290.09586
50-0.128888-1.41190.080284
51-0.116634-1.27770.101917
52-0.136265-1.49270.06907
53-0.132777-1.45450.07421
54-0.155918-1.7080.045111
55-0.159989-1.75260.041113
56-0.166259-1.82130.035528
57-0.156792-1.71760.044227
58-0.190133-2.08280.019696
59-0.196064-2.14780.016871
60-0.164739-1.80460.036821







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.8459299.26670
20.3685684.03754.8e-05
30.3016983.30490.000626
40.0135020.14790.441331
50.08930.97820.164964
6-0.065413-0.71660.237518
70.0176410.19320.423546
80.0226020.24760.402435
90.0301310.33010.370963
10-0.185927-2.03670.021939
11-0.051185-0.56070.288021
120.3097033.39260.000469
13-0.329736-3.61210.000222
14-0.09131-1.00020.159601
150.0648960.71090.239263
160.1418431.55380.061431
17-0.029971-0.32830.371623
180.0461390.50540.307091
19-0.080973-0.8870.188423
20-0.125128-1.37070.086512
21-0.0529-0.57950.281671
22-0.027936-0.3060.380057
23-0.015577-0.17060.4324
240.0351740.38530.350345
25-0.07445-0.81560.208183
26-0.056474-0.61860.268661
270.0136290.14930.440784
28-0.04828-0.52890.298931
29-0.012258-0.13430.446704
300.1656931.81510.036005
310.05430.59480.276541
32-0.045525-0.49870.309453
330.0140450.15390.438991
34-0.014367-0.15740.437603
350.0788530.86380.194712
360.046720.51180.304867
37-0.081273-0.89030.187544
380.0043820.0480.480896
390.0200920.22010.413087
400.0583830.63960.261841
41-0.039331-0.43080.333676
42-0.194684-2.13270.017495
430.0678660.74340.229336
44-0.095841-1.04990.14794
450.0522130.5720.284208
460.0342980.37570.353896
47-0.164291-1.79970.037209
480.0763570.83640.202283
49-0.028042-0.30720.379618
50-0.043438-0.47580.317528
51-0.024689-0.27050.393638
520.0233780.25610.399159
530.0171080.18740.425828
54-0.038366-0.42030.337518
55-0.048808-0.53470.296936
560.0009540.01050.495838
570.0258940.28370.388582
58-0.054665-0.59880.275207
590.0472380.51750.302891
60-0.064675-0.70850.240012

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.845929 & 9.2667 & 0 \tabularnewline
2 & 0.368568 & 4.0375 & 4.8e-05 \tabularnewline
3 & 0.301698 & 3.3049 & 0.000626 \tabularnewline
4 & 0.013502 & 0.1479 & 0.441331 \tabularnewline
5 & 0.0893 & 0.9782 & 0.164964 \tabularnewline
6 & -0.065413 & -0.7166 & 0.237518 \tabularnewline
7 & 0.017641 & 0.1932 & 0.423546 \tabularnewline
8 & 0.022602 & 0.2476 & 0.402435 \tabularnewline
9 & 0.030131 & 0.3301 & 0.370963 \tabularnewline
10 & -0.185927 & -2.0367 & 0.021939 \tabularnewline
11 & -0.051185 & -0.5607 & 0.288021 \tabularnewline
12 & 0.309703 & 3.3926 & 0.000469 \tabularnewline
13 & -0.329736 & -3.6121 & 0.000222 \tabularnewline
14 & -0.09131 & -1.0002 & 0.159601 \tabularnewline
15 & 0.064896 & 0.7109 & 0.239263 \tabularnewline
16 & 0.141843 & 1.5538 & 0.061431 \tabularnewline
17 & -0.029971 & -0.3283 & 0.371623 \tabularnewline
18 & 0.046139 & 0.5054 & 0.307091 \tabularnewline
19 & -0.080973 & -0.887 & 0.188423 \tabularnewline
20 & -0.125128 & -1.3707 & 0.086512 \tabularnewline
21 & -0.0529 & -0.5795 & 0.281671 \tabularnewline
22 & -0.027936 & -0.306 & 0.380057 \tabularnewline
23 & -0.015577 & -0.1706 & 0.4324 \tabularnewline
24 & 0.035174 & 0.3853 & 0.350345 \tabularnewline
25 & -0.07445 & -0.8156 & 0.208183 \tabularnewline
26 & -0.056474 & -0.6186 & 0.268661 \tabularnewline
27 & 0.013629 & 0.1493 & 0.440784 \tabularnewline
28 & -0.04828 & -0.5289 & 0.298931 \tabularnewline
29 & -0.012258 & -0.1343 & 0.446704 \tabularnewline
30 & 0.165693 & 1.8151 & 0.036005 \tabularnewline
31 & 0.0543 & 0.5948 & 0.276541 \tabularnewline
32 & -0.045525 & -0.4987 & 0.309453 \tabularnewline
33 & 0.014045 & 0.1539 & 0.438991 \tabularnewline
34 & -0.014367 & -0.1574 & 0.437603 \tabularnewline
35 & 0.078853 & 0.8638 & 0.194712 \tabularnewline
36 & 0.04672 & 0.5118 & 0.304867 \tabularnewline
37 & -0.081273 & -0.8903 & 0.187544 \tabularnewline
38 & 0.004382 & 0.048 & 0.480896 \tabularnewline
39 & 0.020092 & 0.2201 & 0.413087 \tabularnewline
40 & 0.058383 & 0.6396 & 0.261841 \tabularnewline
41 & -0.039331 & -0.4308 & 0.333676 \tabularnewline
42 & -0.194684 & -2.1327 & 0.017495 \tabularnewline
43 & 0.067866 & 0.7434 & 0.229336 \tabularnewline
44 & -0.095841 & -1.0499 & 0.14794 \tabularnewline
45 & 0.052213 & 0.572 & 0.284208 \tabularnewline
46 & 0.034298 & 0.3757 & 0.353896 \tabularnewline
47 & -0.164291 & -1.7997 & 0.037209 \tabularnewline
48 & 0.076357 & 0.8364 & 0.202283 \tabularnewline
49 & -0.028042 & -0.3072 & 0.379618 \tabularnewline
50 & -0.043438 & -0.4758 & 0.317528 \tabularnewline
51 & -0.024689 & -0.2705 & 0.393638 \tabularnewline
52 & 0.023378 & 0.2561 & 0.399159 \tabularnewline
53 & 0.017108 & 0.1874 & 0.425828 \tabularnewline
54 & -0.038366 & -0.4203 & 0.337518 \tabularnewline
55 & -0.048808 & -0.5347 & 0.296936 \tabularnewline
56 & 0.000954 & 0.0105 & 0.495838 \tabularnewline
57 & 0.025894 & 0.2837 & 0.388582 \tabularnewline
58 & -0.054665 & -0.5988 & 0.275207 \tabularnewline
59 & 0.047238 & 0.5175 & 0.302891 \tabularnewline
60 & -0.064675 & -0.7085 & 0.240012 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=64982&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]0.845929[/C][C]9.2667[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.368568[/C][C]4.0375[/C][C]4.8e-05[/C][/ROW]
[ROW][C]3[/C][C]0.301698[/C][C]3.3049[/C][C]0.000626[/C][/ROW]
[ROW][C]4[/C][C]0.013502[/C][C]0.1479[/C][C]0.441331[/C][/ROW]
[ROW][C]5[/C][C]0.0893[/C][C]0.9782[/C][C]0.164964[/C][/ROW]
[ROW][C]6[/C][C]-0.065413[/C][C]-0.7166[/C][C]0.237518[/C][/ROW]
[ROW][C]7[/C][C]0.017641[/C][C]0.1932[/C][C]0.423546[/C][/ROW]
[ROW][C]8[/C][C]0.022602[/C][C]0.2476[/C][C]0.402435[/C][/ROW]
[ROW][C]9[/C][C]0.030131[/C][C]0.3301[/C][C]0.370963[/C][/ROW]
[ROW][C]10[/C][C]-0.185927[/C][C]-2.0367[/C][C]0.021939[/C][/ROW]
[ROW][C]11[/C][C]-0.051185[/C][C]-0.5607[/C][C]0.288021[/C][/ROW]
[ROW][C]12[/C][C]0.309703[/C][C]3.3926[/C][C]0.000469[/C][/ROW]
[ROW][C]13[/C][C]-0.329736[/C][C]-3.6121[/C][C]0.000222[/C][/ROW]
[ROW][C]14[/C][C]-0.09131[/C][C]-1.0002[/C][C]0.159601[/C][/ROW]
[ROW][C]15[/C][C]0.064896[/C][C]0.7109[/C][C]0.239263[/C][/ROW]
[ROW][C]16[/C][C]0.141843[/C][C]1.5538[/C][C]0.061431[/C][/ROW]
[ROW][C]17[/C][C]-0.029971[/C][C]-0.3283[/C][C]0.371623[/C][/ROW]
[ROW][C]18[/C][C]0.046139[/C][C]0.5054[/C][C]0.307091[/C][/ROW]
[ROW][C]19[/C][C]-0.080973[/C][C]-0.887[/C][C]0.188423[/C][/ROW]
[ROW][C]20[/C][C]-0.125128[/C][C]-1.3707[/C][C]0.086512[/C][/ROW]
[ROW][C]21[/C][C]-0.0529[/C][C]-0.5795[/C][C]0.281671[/C][/ROW]
[ROW][C]22[/C][C]-0.027936[/C][C]-0.306[/C][C]0.380057[/C][/ROW]
[ROW][C]23[/C][C]-0.015577[/C][C]-0.1706[/C][C]0.4324[/C][/ROW]
[ROW][C]24[/C][C]0.035174[/C][C]0.3853[/C][C]0.350345[/C][/ROW]
[ROW][C]25[/C][C]-0.07445[/C][C]-0.8156[/C][C]0.208183[/C][/ROW]
[ROW][C]26[/C][C]-0.056474[/C][C]-0.6186[/C][C]0.268661[/C][/ROW]
[ROW][C]27[/C][C]0.013629[/C][C]0.1493[/C][C]0.440784[/C][/ROW]
[ROW][C]28[/C][C]-0.04828[/C][C]-0.5289[/C][C]0.298931[/C][/ROW]
[ROW][C]29[/C][C]-0.012258[/C][C]-0.1343[/C][C]0.446704[/C][/ROW]
[ROW][C]30[/C][C]0.165693[/C][C]1.8151[/C][C]0.036005[/C][/ROW]
[ROW][C]31[/C][C]0.0543[/C][C]0.5948[/C][C]0.276541[/C][/ROW]
[ROW][C]32[/C][C]-0.045525[/C][C]-0.4987[/C][C]0.309453[/C][/ROW]
[ROW][C]33[/C][C]0.014045[/C][C]0.1539[/C][C]0.438991[/C][/ROW]
[ROW][C]34[/C][C]-0.014367[/C][C]-0.1574[/C][C]0.437603[/C][/ROW]
[ROW][C]35[/C][C]0.078853[/C][C]0.8638[/C][C]0.194712[/C][/ROW]
[ROW][C]36[/C][C]0.04672[/C][C]0.5118[/C][C]0.304867[/C][/ROW]
[ROW][C]37[/C][C]-0.081273[/C][C]-0.8903[/C][C]0.187544[/C][/ROW]
[ROW][C]38[/C][C]0.004382[/C][C]0.048[/C][C]0.480896[/C][/ROW]
[ROW][C]39[/C][C]0.020092[/C][C]0.2201[/C][C]0.413087[/C][/ROW]
[ROW][C]40[/C][C]0.058383[/C][C]0.6396[/C][C]0.261841[/C][/ROW]
[ROW][C]41[/C][C]-0.039331[/C][C]-0.4308[/C][C]0.333676[/C][/ROW]
[ROW][C]42[/C][C]-0.194684[/C][C]-2.1327[/C][C]0.017495[/C][/ROW]
[ROW][C]43[/C][C]0.067866[/C][C]0.7434[/C][C]0.229336[/C][/ROW]
[ROW][C]44[/C][C]-0.095841[/C][C]-1.0499[/C][C]0.14794[/C][/ROW]
[ROW][C]45[/C][C]0.052213[/C][C]0.572[/C][C]0.284208[/C][/ROW]
[ROW][C]46[/C][C]0.034298[/C][C]0.3757[/C][C]0.353896[/C][/ROW]
[ROW][C]47[/C][C]-0.164291[/C][C]-1.7997[/C][C]0.037209[/C][/ROW]
[ROW][C]48[/C][C]0.076357[/C][C]0.8364[/C][C]0.202283[/C][/ROW]
[ROW][C]49[/C][C]-0.028042[/C][C]-0.3072[/C][C]0.379618[/C][/ROW]
[ROW][C]50[/C][C]-0.043438[/C][C]-0.4758[/C][C]0.317528[/C][/ROW]
[ROW][C]51[/C][C]-0.024689[/C][C]-0.2705[/C][C]0.393638[/C][/ROW]
[ROW][C]52[/C][C]0.023378[/C][C]0.2561[/C][C]0.399159[/C][/ROW]
[ROW][C]53[/C][C]0.017108[/C][C]0.1874[/C][C]0.425828[/C][/ROW]
[ROW][C]54[/C][C]-0.038366[/C][C]-0.4203[/C][C]0.337518[/C][/ROW]
[ROW][C]55[/C][C]-0.048808[/C][C]-0.5347[/C][C]0.296936[/C][/ROW]
[ROW][C]56[/C][C]0.000954[/C][C]0.0105[/C][C]0.495838[/C][/ROW]
[ROW][C]57[/C][C]0.025894[/C][C]0.2837[/C][C]0.388582[/C][/ROW]
[ROW][C]58[/C][C]-0.054665[/C][C]-0.5988[/C][C]0.275207[/C][/ROW]
[ROW][C]59[/C][C]0.047238[/C][C]0.5175[/C][C]0.302891[/C][/ROW]
[ROW][C]60[/C][C]-0.064675[/C][C]-0.7085[/C][C]0.240012[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=64982&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=64982&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
10.8459299.26670
20.3685684.03754.8e-05
30.3016983.30490.000626
40.0135020.14790.441331
50.08930.97820.164964
6-0.065413-0.71660.237518
70.0176410.19320.423546
80.0226020.24760.402435
90.0301310.33010.370963
10-0.185927-2.03670.021939
11-0.051185-0.56070.288021
120.3097033.39260.000469
13-0.329736-3.61210.000222
14-0.09131-1.00020.159601
150.0648960.71090.239263
160.1418431.55380.061431
17-0.029971-0.32830.371623
180.0461390.50540.307091
19-0.080973-0.8870.188423
20-0.125128-1.37070.086512
21-0.0529-0.57950.281671
22-0.027936-0.3060.380057
23-0.015577-0.17060.4324
240.0351740.38530.350345
25-0.07445-0.81560.208183
26-0.056474-0.61860.268661
270.0136290.14930.440784
28-0.04828-0.52890.298931
29-0.012258-0.13430.446704
300.1656931.81510.036005
310.05430.59480.276541
32-0.045525-0.49870.309453
330.0140450.15390.438991
34-0.014367-0.15740.437603
350.0788530.86380.194712
360.046720.51180.304867
37-0.081273-0.89030.187544
380.0043820.0480.480896
390.0200920.22010.413087
400.0583830.63960.261841
41-0.039331-0.43080.333676
42-0.194684-2.13270.017495
430.0678660.74340.229336
44-0.095841-1.04990.14794
450.0522130.5720.284208
460.0342980.37570.353896
47-0.164291-1.79970.037209
480.0763570.83640.202283
49-0.028042-0.30720.379618
50-0.043438-0.47580.317528
51-0.024689-0.27050.393638
520.0233780.25610.399159
530.0171080.18740.425828
54-0.038366-0.42030.337518
55-0.048808-0.53470.296936
560.0009540.01050.495838
570.0258940.28370.388582
58-0.054665-0.59880.275207
590.0472380.51750.302891
60-0.064675-0.70850.240012



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = MA ; par7 = 0.95 ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = MA ; par7 = 0.95 ;
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 (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='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
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')