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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationMon, 21 Nov 2011 14:55:31 -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/21/t1321905585pokkdr39qp70bq6.htm/, Retrieved Thu, 28 Mar 2024 19:53:38 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=145954, Retrieved Thu, 28 Mar 2024 19:53:38 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP2W12
Estimated Impact58
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [] [2011-11-21 19:55:31] [b44111bcd41b31de06c81f2dca643b69] [Current]
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Dataseries X:
293896
295705
339828
336278
346017
351623
352478
356391
333962
336828
344530
406516
319235
314750
362781
352440
374399
367418
362980
376600
346981
349571
357797
419221
329877
324252
375221
359533
392530
377686
373303
388904
354829
369553
378740
427251
343705
345062
374186
370241
399458
379886
385254
384375
352107
351566
337330
386331
311953
301261
330481
331632
349725
346615
350251
355782
326844
341207
342127
403845
318619
315067
365498
362038
371518
364774
368462
369199
351696
361750
372533
434288




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gertrude Mary Cox' @ cox.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 & 1 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=145954&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=145954&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=145954&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'Gertrude Mary Cox' @ cox.wessa.net







Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.360286-3.03580.001676
2-0.16437-1.3850.085194
30.0417440.35170.363036
4-0.007563-0.06370.474683
50.1726531.45480.075066
6-0.23932-2.01650.023763
70.15581.31280.096741
8-0.001637-0.01380.494518
90.0879940.74150.230433
10-0.181792-1.53180.065007
11-0.341123-2.87440.002669
120.7807756.57890
13-0.306945-2.58640.005875
14-0.099878-0.84160.201422
15-1.8e-05-2e-040.499938
16-0.010655-0.08980.464357
170.146121.23120.11115
18-0.204784-1.72550.04439
190.1494761.25950.105985
20-0.010563-0.0890.464663
210.0596660.50280.308346
22-0.142836-1.20360.11638
23-0.274408-2.31220.011835
240.5875784.9512e-06
25-0.226675-1.910.030087
26-0.08004-0.67440.251114
27-0.041294-0.3480.364453
280.0233040.19640.422443
290.0908780.76580.223181
30-0.166418-1.40230.082597
310.1342871.13150.130822
32-0.024646-0.20770.41804
330.0698190.58830.279097
34-0.11712-0.98690.163529
35-0.219482-1.84940.034282
360.4222193.55770.000336
37-0.135911-1.14520.127985
38-0.060317-0.50820.30643
39-0.022122-0.18640.426331
400.0363560.30630.380121
410.0304240.25640.399208
42-0.104053-0.87680.191786
430.0764090.64380.26088
44-0.015277-0.12870.448968
450.0555840.46840.32048
46-0.08819-0.74310.229935
47-0.147059-1.23910.109687
480.2624732.21160.015106

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.360286 & -3.0358 & 0.001676 \tabularnewline
2 & -0.16437 & -1.385 & 0.085194 \tabularnewline
3 & 0.041744 & 0.3517 & 0.363036 \tabularnewline
4 & -0.007563 & -0.0637 & 0.474683 \tabularnewline
5 & 0.172653 & 1.4548 & 0.075066 \tabularnewline
6 & -0.23932 & -2.0165 & 0.023763 \tabularnewline
7 & 0.1558 & 1.3128 & 0.096741 \tabularnewline
8 & -0.001637 & -0.0138 & 0.494518 \tabularnewline
9 & 0.087994 & 0.7415 & 0.230433 \tabularnewline
10 & -0.181792 & -1.5318 & 0.065007 \tabularnewline
11 & -0.341123 & -2.8744 & 0.002669 \tabularnewline
12 & 0.780775 & 6.5789 & 0 \tabularnewline
13 & -0.306945 & -2.5864 & 0.005875 \tabularnewline
14 & -0.099878 & -0.8416 & 0.201422 \tabularnewline
15 & -1.8e-05 & -2e-04 & 0.499938 \tabularnewline
16 & -0.010655 & -0.0898 & 0.464357 \tabularnewline
17 & 0.14612 & 1.2312 & 0.11115 \tabularnewline
18 & -0.204784 & -1.7255 & 0.04439 \tabularnewline
19 & 0.149476 & 1.2595 & 0.105985 \tabularnewline
20 & -0.010563 & -0.089 & 0.464663 \tabularnewline
21 & 0.059666 & 0.5028 & 0.308346 \tabularnewline
22 & -0.142836 & -1.2036 & 0.11638 \tabularnewline
23 & -0.274408 & -2.3122 & 0.011835 \tabularnewline
24 & 0.587578 & 4.951 & 2e-06 \tabularnewline
25 & -0.226675 & -1.91 & 0.030087 \tabularnewline
26 & -0.08004 & -0.6744 & 0.251114 \tabularnewline
27 & -0.041294 & -0.348 & 0.364453 \tabularnewline
28 & 0.023304 & 0.1964 & 0.422443 \tabularnewline
29 & 0.090878 & 0.7658 & 0.223181 \tabularnewline
30 & -0.166418 & -1.4023 & 0.082597 \tabularnewline
31 & 0.134287 & 1.1315 & 0.130822 \tabularnewline
32 & -0.024646 & -0.2077 & 0.41804 \tabularnewline
33 & 0.069819 & 0.5883 & 0.279097 \tabularnewline
34 & -0.11712 & -0.9869 & 0.163529 \tabularnewline
35 & -0.219482 & -1.8494 & 0.034282 \tabularnewline
36 & 0.422219 & 3.5577 & 0.000336 \tabularnewline
37 & -0.135911 & -1.1452 & 0.127985 \tabularnewline
38 & -0.060317 & -0.5082 & 0.30643 \tabularnewline
39 & -0.022122 & -0.1864 & 0.426331 \tabularnewline
40 & 0.036356 & 0.3063 & 0.380121 \tabularnewline
41 & 0.030424 & 0.2564 & 0.399208 \tabularnewline
42 & -0.104053 & -0.8768 & 0.191786 \tabularnewline
43 & 0.076409 & 0.6438 & 0.26088 \tabularnewline
44 & -0.015277 & -0.1287 & 0.448968 \tabularnewline
45 & 0.055584 & 0.4684 & 0.32048 \tabularnewline
46 & -0.08819 & -0.7431 & 0.229935 \tabularnewline
47 & -0.147059 & -1.2391 & 0.109687 \tabularnewline
48 & 0.262473 & 2.2116 & 0.015106 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=145954&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]-0.360286[/C][C]-3.0358[/C][C]0.001676[/C][/ROW]
[ROW][C]2[/C][C]-0.16437[/C][C]-1.385[/C][C]0.085194[/C][/ROW]
[ROW][C]3[/C][C]0.041744[/C][C]0.3517[/C][C]0.363036[/C][/ROW]
[ROW][C]4[/C][C]-0.007563[/C][C]-0.0637[/C][C]0.474683[/C][/ROW]
[ROW][C]5[/C][C]0.172653[/C][C]1.4548[/C][C]0.075066[/C][/ROW]
[ROW][C]6[/C][C]-0.23932[/C][C]-2.0165[/C][C]0.023763[/C][/ROW]
[ROW][C]7[/C][C]0.1558[/C][C]1.3128[/C][C]0.096741[/C][/ROW]
[ROW][C]8[/C][C]-0.001637[/C][C]-0.0138[/C][C]0.494518[/C][/ROW]
[ROW][C]9[/C][C]0.087994[/C][C]0.7415[/C][C]0.230433[/C][/ROW]
[ROW][C]10[/C][C]-0.181792[/C][C]-1.5318[/C][C]0.065007[/C][/ROW]
[ROW][C]11[/C][C]-0.341123[/C][C]-2.8744[/C][C]0.002669[/C][/ROW]
[ROW][C]12[/C][C]0.780775[/C][C]6.5789[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]-0.306945[/C][C]-2.5864[/C][C]0.005875[/C][/ROW]
[ROW][C]14[/C][C]-0.099878[/C][C]-0.8416[/C][C]0.201422[/C][/ROW]
[ROW][C]15[/C][C]-1.8e-05[/C][C]-2e-04[/C][C]0.499938[/C][/ROW]
[ROW][C]16[/C][C]-0.010655[/C][C]-0.0898[/C][C]0.464357[/C][/ROW]
[ROW][C]17[/C][C]0.14612[/C][C]1.2312[/C][C]0.11115[/C][/ROW]
[ROW][C]18[/C][C]-0.204784[/C][C]-1.7255[/C][C]0.04439[/C][/ROW]
[ROW][C]19[/C][C]0.149476[/C][C]1.2595[/C][C]0.105985[/C][/ROW]
[ROW][C]20[/C][C]-0.010563[/C][C]-0.089[/C][C]0.464663[/C][/ROW]
[ROW][C]21[/C][C]0.059666[/C][C]0.5028[/C][C]0.308346[/C][/ROW]
[ROW][C]22[/C][C]-0.142836[/C][C]-1.2036[/C][C]0.11638[/C][/ROW]
[ROW][C]23[/C][C]-0.274408[/C][C]-2.3122[/C][C]0.011835[/C][/ROW]
[ROW][C]24[/C][C]0.587578[/C][C]4.951[/C][C]2e-06[/C][/ROW]
[ROW][C]25[/C][C]-0.226675[/C][C]-1.91[/C][C]0.030087[/C][/ROW]
[ROW][C]26[/C][C]-0.08004[/C][C]-0.6744[/C][C]0.251114[/C][/ROW]
[ROW][C]27[/C][C]-0.041294[/C][C]-0.348[/C][C]0.364453[/C][/ROW]
[ROW][C]28[/C][C]0.023304[/C][C]0.1964[/C][C]0.422443[/C][/ROW]
[ROW][C]29[/C][C]0.090878[/C][C]0.7658[/C][C]0.223181[/C][/ROW]
[ROW][C]30[/C][C]-0.166418[/C][C]-1.4023[/C][C]0.082597[/C][/ROW]
[ROW][C]31[/C][C]0.134287[/C][C]1.1315[/C][C]0.130822[/C][/ROW]
[ROW][C]32[/C][C]-0.024646[/C][C]-0.2077[/C][C]0.41804[/C][/ROW]
[ROW][C]33[/C][C]0.069819[/C][C]0.5883[/C][C]0.279097[/C][/ROW]
[ROW][C]34[/C][C]-0.11712[/C][C]-0.9869[/C][C]0.163529[/C][/ROW]
[ROW][C]35[/C][C]-0.219482[/C][C]-1.8494[/C][C]0.034282[/C][/ROW]
[ROW][C]36[/C][C]0.422219[/C][C]3.5577[/C][C]0.000336[/C][/ROW]
[ROW][C]37[/C][C]-0.135911[/C][C]-1.1452[/C][C]0.127985[/C][/ROW]
[ROW][C]38[/C][C]-0.060317[/C][C]-0.5082[/C][C]0.30643[/C][/ROW]
[ROW][C]39[/C][C]-0.022122[/C][C]-0.1864[/C][C]0.426331[/C][/ROW]
[ROW][C]40[/C][C]0.036356[/C][C]0.3063[/C][C]0.380121[/C][/ROW]
[ROW][C]41[/C][C]0.030424[/C][C]0.2564[/C][C]0.399208[/C][/ROW]
[ROW][C]42[/C][C]-0.104053[/C][C]-0.8768[/C][C]0.191786[/C][/ROW]
[ROW][C]43[/C][C]0.076409[/C][C]0.6438[/C][C]0.26088[/C][/ROW]
[ROW][C]44[/C][C]-0.015277[/C][C]-0.1287[/C][C]0.448968[/C][/ROW]
[ROW][C]45[/C][C]0.055584[/C][C]0.4684[/C][C]0.32048[/C][/ROW]
[ROW][C]46[/C][C]-0.08819[/C][C]-0.7431[/C][C]0.229935[/C][/ROW]
[ROW][C]47[/C][C]-0.147059[/C][C]-1.2391[/C][C]0.109687[/C][/ROW]
[ROW][C]48[/C][C]0.262473[/C][C]2.2116[/C][C]0.015106[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=145954&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=145954&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
1-0.360286-3.03580.001676
2-0.16437-1.3850.085194
30.0417440.35170.363036
4-0.007563-0.06370.474683
50.1726531.45480.075066
6-0.23932-2.01650.023763
70.15581.31280.096741
8-0.001637-0.01380.494518
90.0879940.74150.230433
10-0.181792-1.53180.065007
11-0.341123-2.87440.002669
120.7807756.57890
13-0.306945-2.58640.005875
14-0.099878-0.84160.201422
15-1.8e-05-2e-040.499938
16-0.010655-0.08980.464357
170.146121.23120.11115
18-0.204784-1.72550.04439
190.1494761.25950.105985
20-0.010563-0.0890.464663
210.0596660.50280.308346
22-0.142836-1.20360.11638
23-0.274408-2.31220.011835
240.5875784.9512e-06
25-0.226675-1.910.030087
26-0.08004-0.67440.251114
27-0.041294-0.3480.364453
280.0233040.19640.422443
290.0908780.76580.223181
30-0.166418-1.40230.082597
310.1342871.13150.130822
32-0.024646-0.20770.41804
330.0698190.58830.279097
34-0.11712-0.98690.163529
35-0.219482-1.84940.034282
360.4222193.55770.000336
37-0.135911-1.14520.127985
38-0.060317-0.50820.30643
39-0.022122-0.18640.426331
400.0363560.30630.380121
410.0304240.25640.399208
42-0.104053-0.87680.191786
430.0764090.64380.26088
44-0.015277-0.12870.448968
450.0555840.46840.32048
46-0.08819-0.74310.229935
47-0.147059-1.23910.109687
480.2624732.21160.015106







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.360286-3.03580.001676
2-0.338057-2.84850.002871
3-0.206673-1.74150.042967
4-0.17745-1.49520.069645
50.1059510.89280.187501
6-0.162615-1.37020.087468
70.0867460.73090.233612
80.0262710.22140.412721
90.2318591.95370.02734
10-0.087649-0.73850.231309
11-0.519033-4.37352.1e-05
120.5415964.56361e-05
130.005980.05040.479977
140.0400660.33760.36833
15-0.025575-0.21550.414997
16-0.020129-0.16960.432901
17-0.099775-0.84070.201663
180.0279710.23570.407177
190.0533770.44980.327125
200.0311160.26220.396967
21-0.159339-1.34260.091837
220.008720.07350.470817
230.0313820.26440.396109
24-0.06485-0.54640.293239
250.0555650.46820.320538
26-0.064095-0.54010.295417
27-0.130355-1.09840.137873
280.0026870.02260.490999
29-0.071728-0.60440.273756
30-0.001916-0.01610.493582
31-0.044342-0.37360.354895
32-0.065822-0.55460.290446
330.0432640.36460.358265
34-0.013516-0.11390.454824
350.0151040.12730.449542
36-0.056968-0.480.316343
37-0.021925-0.18470.42698
38-0.021931-0.18480.426958
390.1066890.8990.185851
400.0053880.04540.481959
41-0.015758-0.13280.447371
42-0.007039-0.05930.476437
43-0.113683-0.95790.170678
44-0.008784-0.0740.470603
45-0.077003-0.64880.259269
46-0.019088-0.16080.436338
470.0075780.06390.474634
48-0.119206-1.00440.159288

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.360286 & -3.0358 & 0.001676 \tabularnewline
2 & -0.338057 & -2.8485 & 0.002871 \tabularnewline
3 & -0.206673 & -1.7415 & 0.042967 \tabularnewline
4 & -0.17745 & -1.4952 & 0.069645 \tabularnewline
5 & 0.105951 & 0.8928 & 0.187501 \tabularnewline
6 & -0.162615 & -1.3702 & 0.087468 \tabularnewline
7 & 0.086746 & 0.7309 & 0.233612 \tabularnewline
8 & 0.026271 & 0.2214 & 0.412721 \tabularnewline
9 & 0.231859 & 1.9537 & 0.02734 \tabularnewline
10 & -0.087649 & -0.7385 & 0.231309 \tabularnewline
11 & -0.519033 & -4.3735 & 2.1e-05 \tabularnewline
12 & 0.541596 & 4.5636 & 1e-05 \tabularnewline
13 & 0.00598 & 0.0504 & 0.479977 \tabularnewline
14 & 0.040066 & 0.3376 & 0.36833 \tabularnewline
15 & -0.025575 & -0.2155 & 0.414997 \tabularnewline
16 & -0.020129 & -0.1696 & 0.432901 \tabularnewline
17 & -0.099775 & -0.8407 & 0.201663 \tabularnewline
18 & 0.027971 & 0.2357 & 0.407177 \tabularnewline
19 & 0.053377 & 0.4498 & 0.327125 \tabularnewline
20 & 0.031116 & 0.2622 & 0.396967 \tabularnewline
21 & -0.159339 & -1.3426 & 0.091837 \tabularnewline
22 & 0.00872 & 0.0735 & 0.470817 \tabularnewline
23 & 0.031382 & 0.2644 & 0.396109 \tabularnewline
24 & -0.06485 & -0.5464 & 0.293239 \tabularnewline
25 & 0.055565 & 0.4682 & 0.320538 \tabularnewline
26 & -0.064095 & -0.5401 & 0.295417 \tabularnewline
27 & -0.130355 & -1.0984 & 0.137873 \tabularnewline
28 & 0.002687 & 0.0226 & 0.490999 \tabularnewline
29 & -0.071728 & -0.6044 & 0.273756 \tabularnewline
30 & -0.001916 & -0.0161 & 0.493582 \tabularnewline
31 & -0.044342 & -0.3736 & 0.354895 \tabularnewline
32 & -0.065822 & -0.5546 & 0.290446 \tabularnewline
33 & 0.043264 & 0.3646 & 0.358265 \tabularnewline
34 & -0.013516 & -0.1139 & 0.454824 \tabularnewline
35 & 0.015104 & 0.1273 & 0.449542 \tabularnewline
36 & -0.056968 & -0.48 & 0.316343 \tabularnewline
37 & -0.021925 & -0.1847 & 0.42698 \tabularnewline
38 & -0.021931 & -0.1848 & 0.426958 \tabularnewline
39 & 0.106689 & 0.899 & 0.185851 \tabularnewline
40 & 0.005388 & 0.0454 & 0.481959 \tabularnewline
41 & -0.015758 & -0.1328 & 0.447371 \tabularnewline
42 & -0.007039 & -0.0593 & 0.476437 \tabularnewline
43 & -0.113683 & -0.9579 & 0.170678 \tabularnewline
44 & -0.008784 & -0.074 & 0.470603 \tabularnewline
45 & -0.077003 & -0.6488 & 0.259269 \tabularnewline
46 & -0.019088 & -0.1608 & 0.436338 \tabularnewline
47 & 0.007578 & 0.0639 & 0.474634 \tabularnewline
48 & -0.119206 & -1.0044 & 0.159288 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=145954&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]-0.360286[/C][C]-3.0358[/C][C]0.001676[/C][/ROW]
[ROW][C]2[/C][C]-0.338057[/C][C]-2.8485[/C][C]0.002871[/C][/ROW]
[ROW][C]3[/C][C]-0.206673[/C][C]-1.7415[/C][C]0.042967[/C][/ROW]
[ROW][C]4[/C][C]-0.17745[/C][C]-1.4952[/C][C]0.069645[/C][/ROW]
[ROW][C]5[/C][C]0.105951[/C][C]0.8928[/C][C]0.187501[/C][/ROW]
[ROW][C]6[/C][C]-0.162615[/C][C]-1.3702[/C][C]0.087468[/C][/ROW]
[ROW][C]7[/C][C]0.086746[/C][C]0.7309[/C][C]0.233612[/C][/ROW]
[ROW][C]8[/C][C]0.026271[/C][C]0.2214[/C][C]0.412721[/C][/ROW]
[ROW][C]9[/C][C]0.231859[/C][C]1.9537[/C][C]0.02734[/C][/ROW]
[ROW][C]10[/C][C]-0.087649[/C][C]-0.7385[/C][C]0.231309[/C][/ROW]
[ROW][C]11[/C][C]-0.519033[/C][C]-4.3735[/C][C]2.1e-05[/C][/ROW]
[ROW][C]12[/C][C]0.541596[/C][C]4.5636[/C][C]1e-05[/C][/ROW]
[ROW][C]13[/C][C]0.00598[/C][C]0.0504[/C][C]0.479977[/C][/ROW]
[ROW][C]14[/C][C]0.040066[/C][C]0.3376[/C][C]0.36833[/C][/ROW]
[ROW][C]15[/C][C]-0.025575[/C][C]-0.2155[/C][C]0.414997[/C][/ROW]
[ROW][C]16[/C][C]-0.020129[/C][C]-0.1696[/C][C]0.432901[/C][/ROW]
[ROW][C]17[/C][C]-0.099775[/C][C]-0.8407[/C][C]0.201663[/C][/ROW]
[ROW][C]18[/C][C]0.027971[/C][C]0.2357[/C][C]0.407177[/C][/ROW]
[ROW][C]19[/C][C]0.053377[/C][C]0.4498[/C][C]0.327125[/C][/ROW]
[ROW][C]20[/C][C]0.031116[/C][C]0.2622[/C][C]0.396967[/C][/ROW]
[ROW][C]21[/C][C]-0.159339[/C][C]-1.3426[/C][C]0.091837[/C][/ROW]
[ROW][C]22[/C][C]0.00872[/C][C]0.0735[/C][C]0.470817[/C][/ROW]
[ROW][C]23[/C][C]0.031382[/C][C]0.2644[/C][C]0.396109[/C][/ROW]
[ROW][C]24[/C][C]-0.06485[/C][C]-0.5464[/C][C]0.293239[/C][/ROW]
[ROW][C]25[/C][C]0.055565[/C][C]0.4682[/C][C]0.320538[/C][/ROW]
[ROW][C]26[/C][C]-0.064095[/C][C]-0.5401[/C][C]0.295417[/C][/ROW]
[ROW][C]27[/C][C]-0.130355[/C][C]-1.0984[/C][C]0.137873[/C][/ROW]
[ROW][C]28[/C][C]0.002687[/C][C]0.0226[/C][C]0.490999[/C][/ROW]
[ROW][C]29[/C][C]-0.071728[/C][C]-0.6044[/C][C]0.273756[/C][/ROW]
[ROW][C]30[/C][C]-0.001916[/C][C]-0.0161[/C][C]0.493582[/C][/ROW]
[ROW][C]31[/C][C]-0.044342[/C][C]-0.3736[/C][C]0.354895[/C][/ROW]
[ROW][C]32[/C][C]-0.065822[/C][C]-0.5546[/C][C]0.290446[/C][/ROW]
[ROW][C]33[/C][C]0.043264[/C][C]0.3646[/C][C]0.358265[/C][/ROW]
[ROW][C]34[/C][C]-0.013516[/C][C]-0.1139[/C][C]0.454824[/C][/ROW]
[ROW][C]35[/C][C]0.015104[/C][C]0.1273[/C][C]0.449542[/C][/ROW]
[ROW][C]36[/C][C]-0.056968[/C][C]-0.48[/C][C]0.316343[/C][/ROW]
[ROW][C]37[/C][C]-0.021925[/C][C]-0.1847[/C][C]0.42698[/C][/ROW]
[ROW][C]38[/C][C]-0.021931[/C][C]-0.1848[/C][C]0.426958[/C][/ROW]
[ROW][C]39[/C][C]0.106689[/C][C]0.899[/C][C]0.185851[/C][/ROW]
[ROW][C]40[/C][C]0.005388[/C][C]0.0454[/C][C]0.481959[/C][/ROW]
[ROW][C]41[/C][C]-0.015758[/C][C]-0.1328[/C][C]0.447371[/C][/ROW]
[ROW][C]42[/C][C]-0.007039[/C][C]-0.0593[/C][C]0.476437[/C][/ROW]
[ROW][C]43[/C][C]-0.113683[/C][C]-0.9579[/C][C]0.170678[/C][/ROW]
[ROW][C]44[/C][C]-0.008784[/C][C]-0.074[/C][C]0.470603[/C][/ROW]
[ROW][C]45[/C][C]-0.077003[/C][C]-0.6488[/C][C]0.259269[/C][/ROW]
[ROW][C]46[/C][C]-0.019088[/C][C]-0.1608[/C][C]0.436338[/C][/ROW]
[ROW][C]47[/C][C]0.007578[/C][C]0.0639[/C][C]0.474634[/C][/ROW]
[ROW][C]48[/C][C]-0.119206[/C][C]-1.0044[/C][C]0.159288[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=145954&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=145954&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
1-0.360286-3.03580.001676
2-0.338057-2.84850.002871
3-0.206673-1.74150.042967
4-0.17745-1.49520.069645
50.1059510.89280.187501
6-0.162615-1.37020.087468
70.0867460.73090.233612
80.0262710.22140.412721
90.2318591.95370.02734
10-0.087649-0.73850.231309
11-0.519033-4.37352.1e-05
120.5415964.56361e-05
130.005980.05040.479977
140.0400660.33760.36833
15-0.025575-0.21550.414997
16-0.020129-0.16960.432901
17-0.099775-0.84070.201663
180.0279710.23570.407177
190.0533770.44980.327125
200.0311160.26220.396967
21-0.159339-1.34260.091837
220.008720.07350.470817
230.0313820.26440.396109
24-0.06485-0.54640.293239
250.0555650.46820.320538
26-0.064095-0.54010.295417
27-0.130355-1.09840.137873
280.0026870.02260.490999
29-0.071728-0.60440.273756
30-0.001916-0.01610.493582
31-0.044342-0.37360.354895
32-0.065822-0.55460.290446
330.0432640.36460.358265
34-0.013516-0.11390.454824
350.0151040.12730.449542
36-0.056968-0.480.316343
37-0.021925-0.18470.42698
38-0.021931-0.18480.426958
390.1066890.8990.185851
400.0053880.04540.481959
41-0.015758-0.13280.447371
42-0.007039-0.05930.476437
43-0.113683-0.95790.170678
44-0.008784-0.0740.470603
45-0.077003-0.64880.259269
46-0.019088-0.16080.436338
470.0075780.06390.474634
48-0.119206-1.00440.159288



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')