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Description of Statistical Computation

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 computationThu, 17 Dec 2009 20:26:45 +0100
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/17/t1261078052s553syl4tp9ln3a.htm/, Retrieved Tue, 30 Apr 2024 00:34:06 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=69062, Retrieved Tue, 30 Apr 2024 00:34:06 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact533

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [] [2009-12-17 19:09:08] [b98453cac15ba1066b407e146608df68]
- RMP     [(Partial) Autocorrelation Function] [] [2009-12-17 19:26:45] [d76b387543b13b5e3afd8ff9e5fdc89f] [Current]
-   P       [(Partial) Autocorrelation Function] [test] [2010-01-11 22:01:19] [b98453cac15ba1066b407e146608df68]
-   P       [(Partial) Autocorrelation Function] [] [2010-01-12 11:13:31] [a542c511726eba04a1fc2f4bd37a90f8]
-   P       [(Partial) Autocorrelation Function] [] [2010-01-12 11:14:42] [541505ca0aa7dd96c5916839b3986084]
-   P       [(Partial) Autocorrelation Function] [] [2010-01-12 11:15:06] [69400782d28359bd00f6a8e8fb9347a1]
-   P       [(Partial) Autocorrelation Function] [] [2010-01-12 11:15:31] [2f9700e78f159997f527be4a316457f5]
-   P       [(Partial) Autocorrelation Function] [] [2010-01-12 11:16:28] [d181e5359f7da6c8509e4702d1229fb0]
-   P       [(Partial) Autocorrelation Function] [] [2010-01-12 11:16:25] [58e1a7a2c10f1de09acf218271f55dfd]
-   P       [(Partial) Autocorrelation Function] [] [2010-01-12 11:16:50] [77c4589624c8ef9dff4002b842437335]
-   P       [(Partial) Autocorrelation Function] [] [2010-01-12 11:16:56] [897115520fe7b6114489bc0eeed64548]
-   P       [(Partial) Autocorrelation Function] [] [2010-01-12 11:15:40] [e2ae2d788de9b949efa455f763351347]
-   P       [(Partial) Autocorrelation Function] [ACF/PACF (d=0 en ...] [2010-01-12 11:16:55] [c0117c881d5fcd069841276db0c34efe]
-   P       [(Partial) Autocorrelation Function] [] [2010-01-12 11:18:17] [5d885a68c2332cc44f6191ec94766bfa]
-   P       [(Partial) Autocorrelation Function] [] [2010-01-12 11:16:48] [6803d2b4eb74b87b90f70c76c2ca5eec]
-   P       [(Partial) Autocorrelation Function] [Reproducen tijdre...] [2010-01-12 11:18:25] [bb3c50fa849023ee18f70dac946932de]
-   P       [(Partial) Autocorrelation Function] [] [2010-01-12 11:17:02] [863a41223bd4bb97f4e5094488ffff34]
-   P       [(Partial) Autocorrelation Function] [] [2010-01-12 11:18:15] [3ab900c901dcf89bc39ca30da615c9f9]
-   P       [(Partial) Autocorrelation Function] [] [2010-01-12 11:18:47] [325e037ef8beb77178124dff9c2e015a]
-   P       [(Partial) Autocorrelation Function] [examen stat] [2010-01-12 11:19:48] [11ac052cc87d77b9933b02bea117068e]
-   P       [(Partial) Autocorrelation Function] [] [2010-01-12 11:20:16] [0fdf1175258f848245feef937e47f101]
-   P       [(Partial) Autocorrelation Function] [] [2010-01-12 11:20:20] [f57b281e621ed7dff28b90886f5aa97c]
-   P       [(Partial) Autocorrelation Function] [] [2010-01-12 11:21:17] [4b0ddbda2a8eb8bbc60159112cb39d44]
-   P       [(Partial) Autocorrelation Function] [test examen] [2010-01-12 11:21:11] [452d956a72536b2484020aba21a35ba0]
-   P       [(Partial) Autocorrelation Function] [examen vraag 3] [2010-01-12 11:21:10] [17bd4671b42d569d890f7246b2ee4ecc]
-   P       [(Partial) Autocorrelation Function] [Laatste examenvraag] [2010-01-12 11:20:47] [ebaba662b71f11af5e14072490c15c50]
-           [(Partial) Autocorrelation Function] [] [2010-01-12 11:21:27] [6998f38352c0f6bc3cf32a17448703fc]
-   P       [(Partial) Autocorrelation Function] [] [2010-01-12 11:21:14] [d4e4be187a92369b428eb3a5c1616639]
-           [(Partial) Autocorrelation Function] [] [2010-01-12 11:22:20] [1c68450965e88b7c1ed117c35898acdf]
-   P       [(Partial) Autocorrelation Function] [] [2010-01-12 11:22:30] [00ae4ca1aa430eb3950856e282097098]
-   P       [(Partial) Autocorrelation Function] [Reproductie grafi...] [2010-01-12 11:22:38] [d4c794dc0ab24aa6e2b9137b5b1e9053]
-   P       [(Partial) Autocorrelation Function] [ACF/PACF] [2010-01-12 11:20:29] [34d27ebe78dc2d31581e8710befe8733]
-   PD      [(Partial) Autocorrelation Function] [test] [2010-01-12 11:26:17] [a9a33b1951d9ae87ed6d7d9055d41c93]
-   P       [(Partial) Autocorrelation Function] [] [2010-01-12 11:30:57] [74be16979710d4c4e7c6647856088456]
-   P       [(Partial) Autocorrelation Function] [] [2010-01-12 11:38:30] [a4642ac6536e7ce898d9b031a7452eab]
-   P       [(Partial) Autocorrelation Function] [Vraag 3] [2010-01-12 11:38:40] [76ab39dc7a55316678260825bd5ad46c]
-   P       [(Partial) Autocorrelation Function] [D=d=0] [2010-01-12 11:39:47] [21324e9cdf3569788a3d630236984d87]
-   P       [(Partial) Autocorrelation Function] [D=d=0] [2010-01-12 11:40:55] [075a06058fde559dd021d126a2b15a40]
-           [(Partial) Autocorrelation Function] [] [2010-01-12 11:41:02] [8b10896fd8c0913ff1dc4e6dd35f743c]
-           [(Partial) Autocorrelation Function] [] [2010-01-12 11:41:00] [94b62ad0aa784646217b93aa983cee13]
-   P       [(Partial) Autocorrelation Function] [ACF (d=D=0)] [2010-01-12 11:41:34] [9c2d53170eb755e9ae5fcf19d2174a32]
-           [(Partial) Autocorrelation Function] [] [2010-01-12 11:39:03] [96d96f181930b548ce74f8c3116c4873]
-   P       [(Partial) Autocorrelation Function] [Erik Geysen exaam] [2010-01-12 11:42:09] [072df11bdb18ed8d65d8164df87f26f2]
-   P       [(Partial) Autocorrelation Function] [] [2010-01-12 11:43:18] [241fe6176277058a801542e2d7cf5227]
-   P       [(Partial) Autocorrelation Function] [] [2010-01-12 11:42:04] [e3c32faf833f030d3b397185b633f75f]
-   P       [(Partial) Autocorrelation Function] [] [2010-01-12 11:43:58] [fa44bc1b850de3469c0e3e9a5981c418]
-   P       [(Partial) Autocorrelation Function] [examen statistiek...] [2010-01-12 11:42:34] [ca30429b07824e7c5d48293114d35d71]
-   P       [(Partial) Autocorrelation Function] [] [2010-01-12 11:44:41] [94b62ad0aa784646217b93aa983cee13]
-   P       [(Partial) Autocorrelation Function] [PC-Test Najat Ha...] [2010-01-12 11:44:05] [68cb6e9d2b1cb3475e83bcdfaf88b501]
-   P       [(Partial) Autocorrelation Function] [] [2010-01-12 11:45:30] [d811f621c525a990f9b60f1ae1e2e8fd]

[Truncated]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
277
260.6
291.6
275.4
275.3
231.7
238.8
274.2
277.8
299.1
286.6
232.3
294.1
267.5
309.7
280.7
287.3
235.7
256.4
289
290.8
321.9
291.8
241.4
295.5
258.2
306.1
281.5
283.1
237.4
274.8
299.3
300.4
340.9
318.8
265.7
322.7
281.6
323.5
312.6
310.8
262.8
273.8
320
310.3
342.2
320.1
265.6
327
300.7
346.4
317.3
326.2
270.7
278.2
324.6
321.8
343.5
354
278.2
330.2
307.3
375.9
335.3
339.3
280.3
293.7
341.2
345.1
368.7
369.4
288.4
341
319.1
374.2
344.5
337.3
281
282.2
321
325.4
366.3
380.3
300.7
359.3
327.6
383.6
352.4
329.4
294.5
333.5
334.3
358
396.1
387
307.2
363.9
344.7
397.6
376.8
337.1
299.3
323.1
329.1
347
462
436.5
360.4
415.5
382.1
432.2
424.3
386.7
354.5
375.8
368
402.4
426.5
433.3
338.5
416.8
381.1
445.7
412.4
394
348.2
380.1
373.7
393.6
434.2
430.7
344.5
411.9
370.5
437.3
411.3
385.5
341.3
384.2
373.2
415.8
448.6
454.3
350.3
419.1
398
456.1
430.1
399.8
362.7
384.9
385.3
432.3
468.9
442.7
370.2
439.4
393.9
468.7
438.8
430.1
366.3
391
380.9
431.4
465.4
471.5
387.5
446.4
421.5
504.8
492.1
421.3
396.7
428
421.9
465.6
525.8
499.9
435.3
479.5
473
554.4
489.6
462.2
420.3

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 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 & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=69062&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]3 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=69062&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=69062&T=0

As an alternative you can also use a QR Code:  
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 time3 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.477054-6.27470
20.1343821.76750.039452
3-0.110352-1.45150.074232
40.0536870.70610.240527
5-0.119803-1.57580.058453
60.0426210.56060.287901
70.027920.36720.356948
80.0406550.53470.296761
90.0205490.27030.393634
10-0.135087-1.77680.03868
110.2596583.41530.000397
12-0.460579-6.0580
130.2423013.1870.000853
14-0.20139-2.64890.004412
150.2869653.77440.00011
16-0.077162-1.01490.155784
17-0.033297-0.4380.330984
180.0165440.21760.413998
190.0235340.30950.378641
20-0.085647-1.12650.130754
210.0077690.10220.459365
220.0983241.29330.098824
23-0.103989-1.36780.08658
240.1455691.91470.028593
25-0.13307-1.75030.040923
260.1631122.14540.016658
27-0.193419-2.5440.005917
28-0.027551-0.36240.358756
290.1444861.90040.029521
30-0.097736-1.28550.100165
310.0443560.58340.280188
320.0317550.41770.338353
33-0.013383-0.1760.430239
34-0.022859-0.30070.382019
350.0382530.50310.307754
36-0.090296-1.18770.118298
370.121231.59450.056321
38-0.120568-1.58580.057303
390.0418920.5510.291171
400.0907681.19390.117082
41-0.078207-1.02870.152538
420.0319390.42010.33747
43-0.0731-0.96150.168825
440.0932041.22590.110949
45-0.078623-1.03410.151262
46-0.001912-0.02520.489981
470.0730190.96040.169094
48-0.028117-0.36980.355984
49-0.045277-0.59550.276135
500.068150.89640.185651
51-0.011904-0.15660.437882
52-0.099604-1.31010.095951
530.1116471.46850.071893
54-0.138021-1.81540.035598
550.1970122.59130.005189
56-0.10282-1.35240.089008
570.0224490.29530.384068
58-0.006155-0.0810.467785
59-0.015521-0.20410.419239
60-0.018839-0.24780.402295

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.477054 & -6.2747 & 0 \tabularnewline
2 & 0.134382 & 1.7675 & 0.039452 \tabularnewline
3 & -0.110352 & -1.4515 & 0.074232 \tabularnewline
4 & 0.053687 & 0.7061 & 0.240527 \tabularnewline
5 & -0.119803 & -1.5758 & 0.058453 \tabularnewline
6 & 0.042621 & 0.5606 & 0.287901 \tabularnewline
7 & 0.02792 & 0.3672 & 0.356948 \tabularnewline
8 & 0.040655 & 0.5347 & 0.296761 \tabularnewline
9 & 0.020549 & 0.2703 & 0.393634 \tabularnewline
10 & -0.135087 & -1.7768 & 0.03868 \tabularnewline
11 & 0.259658 & 3.4153 & 0.000397 \tabularnewline
12 & -0.460579 & -6.058 & 0 \tabularnewline
13 & 0.242301 & 3.187 & 0.000853 \tabularnewline
14 & -0.20139 & -2.6489 & 0.004412 \tabularnewline
15 & 0.286965 & 3.7744 & 0.00011 \tabularnewline
16 & -0.077162 & -1.0149 & 0.155784 \tabularnewline
17 & -0.033297 & -0.438 & 0.330984 \tabularnewline
18 & 0.016544 & 0.2176 & 0.413998 \tabularnewline
19 & 0.023534 & 0.3095 & 0.378641 \tabularnewline
20 & -0.085647 & -1.1265 & 0.130754 \tabularnewline
21 & 0.007769 & 0.1022 & 0.459365 \tabularnewline
22 & 0.098324 & 1.2933 & 0.098824 \tabularnewline
23 & -0.103989 & -1.3678 & 0.08658 \tabularnewline
24 & 0.145569 & 1.9147 & 0.028593 \tabularnewline
25 & -0.13307 & -1.7503 & 0.040923 \tabularnewline
26 & 0.163112 & 2.1454 & 0.016658 \tabularnewline
27 & -0.193419 & -2.544 & 0.005917 \tabularnewline
28 & -0.027551 & -0.3624 & 0.358756 \tabularnewline
29 & 0.144486 & 1.9004 & 0.029521 \tabularnewline
30 & -0.097736 & -1.2855 & 0.100165 \tabularnewline
31 & 0.044356 & 0.5834 & 0.280188 \tabularnewline
32 & 0.031755 & 0.4177 & 0.338353 \tabularnewline
33 & -0.013383 & -0.176 & 0.430239 \tabularnewline
34 & -0.022859 & -0.3007 & 0.382019 \tabularnewline
35 & 0.038253 & 0.5031 & 0.307754 \tabularnewline
36 & -0.090296 & -1.1877 & 0.118298 \tabularnewline
37 & 0.12123 & 1.5945 & 0.056321 \tabularnewline
38 & -0.120568 & -1.5858 & 0.057303 \tabularnewline
39 & 0.041892 & 0.551 & 0.291171 \tabularnewline
40 & 0.090768 & 1.1939 & 0.117082 \tabularnewline
41 & -0.078207 & -1.0287 & 0.152538 \tabularnewline
42 & 0.031939 & 0.4201 & 0.33747 \tabularnewline
43 & -0.0731 & -0.9615 & 0.168825 \tabularnewline
44 & 0.093204 & 1.2259 & 0.110949 \tabularnewline
45 & -0.078623 & -1.0341 & 0.151262 \tabularnewline
46 & -0.001912 & -0.0252 & 0.489981 \tabularnewline
47 & 0.073019 & 0.9604 & 0.169094 \tabularnewline
48 & -0.028117 & -0.3698 & 0.355984 \tabularnewline
49 & -0.045277 & -0.5955 & 0.276135 \tabularnewline
50 & 0.06815 & 0.8964 & 0.185651 \tabularnewline
51 & -0.011904 & -0.1566 & 0.437882 \tabularnewline
52 & -0.099604 & -1.3101 & 0.095951 \tabularnewline
53 & 0.111647 & 1.4685 & 0.071893 \tabularnewline
54 & -0.138021 & -1.8154 & 0.035598 \tabularnewline
55 & 0.197012 & 2.5913 & 0.005189 \tabularnewline
56 & -0.10282 & -1.3524 & 0.089008 \tabularnewline
57 & 0.022449 & 0.2953 & 0.384068 \tabularnewline
58 & -0.006155 & -0.081 & 0.467785 \tabularnewline
59 & -0.015521 & -0.2041 & 0.419239 \tabularnewline
60 & -0.018839 & -0.2478 & 0.402295 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=69062&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]-0.477054[/C][C]-6.2747[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.134382[/C][C]1.7675[/C][C]0.039452[/C][/ROW]
[ROW][C]3[/C][C]-0.110352[/C][C]-1.4515[/C][C]0.074232[/C][/ROW]
[ROW][C]4[/C][C]0.053687[/C][C]0.7061[/C][C]0.240527[/C][/ROW]
[ROW][C]5[/C][C]-0.119803[/C][C]-1.5758[/C][C]0.058453[/C][/ROW]
[ROW][C]6[/C][C]0.042621[/C][C]0.5606[/C][C]0.287901[/C][/ROW]
[ROW][C]7[/C][C]0.02792[/C][C]0.3672[/C][C]0.356948[/C][/ROW]
[ROW][C]8[/C][C]0.040655[/C][C]0.5347[/C][C]0.296761[/C][/ROW]
[ROW][C]9[/C][C]0.020549[/C][C]0.2703[/C][C]0.393634[/C][/ROW]
[ROW][C]10[/C][C]-0.135087[/C][C]-1.7768[/C][C]0.03868[/C][/ROW]
[ROW][C]11[/C][C]0.259658[/C][C]3.4153[/C][C]0.000397[/C][/ROW]
[ROW][C]12[/C][C]-0.460579[/C][C]-6.058[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.242301[/C][C]3.187[/C][C]0.000853[/C][/ROW]
[ROW][C]14[/C][C]-0.20139[/C][C]-2.6489[/C][C]0.004412[/C][/ROW]
[ROW][C]15[/C][C]0.286965[/C][C]3.7744[/C][C]0.00011[/C][/ROW]
[ROW][C]16[/C][C]-0.077162[/C][C]-1.0149[/C][C]0.155784[/C][/ROW]
[ROW][C]17[/C][C]-0.033297[/C][C]-0.438[/C][C]0.330984[/C][/ROW]
[ROW][C]18[/C][C]0.016544[/C][C]0.2176[/C][C]0.413998[/C][/ROW]
[ROW][C]19[/C][C]0.023534[/C][C]0.3095[/C][C]0.378641[/C][/ROW]
[ROW][C]20[/C][C]-0.085647[/C][C]-1.1265[/C][C]0.130754[/C][/ROW]
[ROW][C]21[/C][C]0.007769[/C][C]0.1022[/C][C]0.459365[/C][/ROW]
[ROW][C]22[/C][C]0.098324[/C][C]1.2933[/C][C]0.098824[/C][/ROW]
[ROW][C]23[/C][C]-0.103989[/C][C]-1.3678[/C][C]0.08658[/C][/ROW]
[ROW][C]24[/C][C]0.145569[/C][C]1.9147[/C][C]0.028593[/C][/ROW]
[ROW][C]25[/C][C]-0.13307[/C][C]-1.7503[/C][C]0.040923[/C][/ROW]
[ROW][C]26[/C][C]0.163112[/C][C]2.1454[/C][C]0.016658[/C][/ROW]
[ROW][C]27[/C][C]-0.193419[/C][C]-2.544[/C][C]0.005917[/C][/ROW]
[ROW][C]28[/C][C]-0.027551[/C][C]-0.3624[/C][C]0.358756[/C][/ROW]
[ROW][C]29[/C][C]0.144486[/C][C]1.9004[/C][C]0.029521[/C][/ROW]
[ROW][C]30[/C][C]-0.097736[/C][C]-1.2855[/C][C]0.100165[/C][/ROW]
[ROW][C]31[/C][C]0.044356[/C][C]0.5834[/C][C]0.280188[/C][/ROW]
[ROW][C]32[/C][C]0.031755[/C][C]0.4177[/C][C]0.338353[/C][/ROW]
[ROW][C]33[/C][C]-0.013383[/C][C]-0.176[/C][C]0.430239[/C][/ROW]
[ROW][C]34[/C][C]-0.022859[/C][C]-0.3007[/C][C]0.382019[/C][/ROW]
[ROW][C]35[/C][C]0.038253[/C][C]0.5031[/C][C]0.307754[/C][/ROW]
[ROW][C]36[/C][C]-0.090296[/C][C]-1.1877[/C][C]0.118298[/C][/ROW]
[ROW][C]37[/C][C]0.12123[/C][C]1.5945[/C][C]0.056321[/C][/ROW]
[ROW][C]38[/C][C]-0.120568[/C][C]-1.5858[/C][C]0.057303[/C][/ROW]
[ROW][C]39[/C][C]0.041892[/C][C]0.551[/C][C]0.291171[/C][/ROW]
[ROW][C]40[/C][C]0.090768[/C][C]1.1939[/C][C]0.117082[/C][/ROW]
[ROW][C]41[/C][C]-0.078207[/C][C]-1.0287[/C][C]0.152538[/C][/ROW]
[ROW][C]42[/C][C]0.031939[/C][C]0.4201[/C][C]0.33747[/C][/ROW]
[ROW][C]43[/C][C]-0.0731[/C][C]-0.9615[/C][C]0.168825[/C][/ROW]
[ROW][C]44[/C][C]0.093204[/C][C]1.2259[/C][C]0.110949[/C][/ROW]
[ROW][C]45[/C][C]-0.078623[/C][C]-1.0341[/C][C]0.151262[/C][/ROW]
[ROW][C]46[/C][C]-0.001912[/C][C]-0.0252[/C][C]0.489981[/C][/ROW]
[ROW][C]47[/C][C]0.073019[/C][C]0.9604[/C][C]0.169094[/C][/ROW]
[ROW][C]48[/C][C]-0.028117[/C][C]-0.3698[/C][C]0.355984[/C][/ROW]
[ROW][C]49[/C][C]-0.045277[/C][C]-0.5955[/C][C]0.276135[/C][/ROW]
[ROW][C]50[/C][C]0.06815[/C][C]0.8964[/C][C]0.185651[/C][/ROW]
[ROW][C]51[/C][C]-0.011904[/C][C]-0.1566[/C][C]0.437882[/C][/ROW]
[ROW][C]52[/C][C]-0.099604[/C][C]-1.3101[/C][C]0.095951[/C][/ROW]
[ROW][C]53[/C][C]0.111647[/C][C]1.4685[/C][C]0.071893[/C][/ROW]
[ROW][C]54[/C][C]-0.138021[/C][C]-1.8154[/C][C]0.035598[/C][/ROW]
[ROW][C]55[/C][C]0.197012[/C][C]2.5913[/C][C]0.005189[/C][/ROW]
[ROW][C]56[/C][C]-0.10282[/C][C]-1.3524[/C][C]0.089008[/C][/ROW]
[ROW][C]57[/C][C]0.022449[/C][C]0.2953[/C][C]0.384068[/C][/ROW]
[ROW][C]58[/C][C]-0.006155[/C][C]-0.081[/C][C]0.467785[/C][/ROW]
[ROW][C]59[/C][C]-0.015521[/C][C]-0.2041[/C][C]0.419239[/C][/ROW]
[ROW][C]60[/C][C]-0.018839[/C][C]-0.2478[/C][C]0.402295[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=69062&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=69062&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.477054-6.27470
20.1343821.76750.039452
3-0.110352-1.45150.074232
40.0536870.70610.240527
5-0.119803-1.57580.058453
60.0426210.56060.287901
70.027920.36720.356948
80.0406550.53470.296761
90.0205490.27030.393634
10-0.135087-1.77680.03868
110.2596583.41530.000397
12-0.460579-6.0580
130.2423013.1870.000853
14-0.20139-2.64890.004412
150.2869653.77440.00011
16-0.077162-1.01490.155784
17-0.033297-0.4380.330984
180.0165440.21760.413998
190.0235340.30950.378641
20-0.085647-1.12650.130754
210.0077690.10220.459365
220.0983241.29330.098824
23-0.103989-1.36780.08658
240.1455691.91470.028593
25-0.13307-1.75030.040923
260.1631122.14540.016658
27-0.193419-2.5440.005917
28-0.027551-0.36240.358756
290.1444861.90040.029521
30-0.097736-1.28550.100165
310.0443560.58340.280188
320.0317550.41770.338353
33-0.013383-0.1760.430239
34-0.022859-0.30070.382019
350.0382530.50310.307754
36-0.090296-1.18770.118298
370.121231.59450.056321
38-0.120568-1.58580.057303
390.0418920.5510.291171
400.0907681.19390.117082
41-0.078207-1.02870.152538
420.0319390.42010.33747
43-0.0731-0.96150.168825
440.0932041.22590.110949
45-0.078623-1.03410.151262
46-0.001912-0.02520.489981
470.0730190.96040.169094
48-0.028117-0.36980.355984
49-0.045277-0.59550.276135
500.068150.89640.185651
51-0.011904-0.15660.437882
52-0.099604-1.31010.095951
530.1116471.46850.071893
54-0.138021-1.81540.035598
550.1970122.59130.005189
56-0.10282-1.35240.089008
570.0224490.29530.384068
58-0.006155-0.0810.467785
59-0.015521-0.20410.419239
60-0.018839-0.24780.402295






Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.477054-6.27470
2-0.120657-1.5870.05717
3-0.126212-1.66010.049357
4-0.055962-0.73610.231346
5-0.157262-2.06850.020042
6-0.123127-1.61950.053582
7-0.016438-0.21620.41454
80.0497950.65490.256686
90.0843931.110.134267
10-0.126988-1.67030.048337
110.198532.61120.004907
12-0.337082-4.43368e-06
13-0.163686-2.1530.016354
14-0.269547-3.54530.000252
150.050260.66110.254725
160.1478891.94520.026687
17-0.130994-1.7230.043342
18-0.042484-0.55880.288515
19-0.008128-0.10690.457495
200.0123630.16260.43551
21-0.005791-0.07620.469688
22-0.035621-0.46850.32
230.0210180.27640.391269
24-0.095174-1.25180.106164
25-0.057949-0.76220.223487
26-0.058024-0.76320.223196
270.0033870.04450.48226
28-0.126251-1.66060.049305
290.0658850.86660.193686
30-0.112169-1.47530.070968
31-0.055442-0.72920.233424
320.0479190.63030.264675
33-0.026251-0.34530.365151
340.0236540.31110.378042
350.002450.03220.487167
36-0.019965-0.26260.396587
37-0.007379-0.09710.461396
38-0.058755-0.77280.220346
39-0.100235-1.31840.094558
40-0.032424-0.42650.335148
410.0476520.62680.265818
42-0.048041-0.63190.264149
43-0.027721-0.36460.357924
440.0231060.30390.380782
45-0.019743-0.25970.397708
46-0.040554-0.53340.297221
470.0731890.96260.168534
48-0.062777-0.82570.205055
49-0.011607-0.15270.43942
50-0.022804-0.29990.382291
51-0.031876-0.41930.337772
52-0.108425-1.42610.077819
530.0276080.36310.358477
54-0.10184-1.33950.091083
550.0278910.36680.357091
560.0657580.86490.194143
57-0.015837-0.20830.417618
58-0.042078-0.55340.290336
59-0.005028-0.06610.473674
60-0.03255-0.42810.334545

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.477054 & -6.2747 & 0 \tabularnewline
2 & -0.120657 & -1.587 & 0.05717 \tabularnewline
3 & -0.126212 & -1.6601 & 0.049357 \tabularnewline
4 & -0.055962 & -0.7361 & 0.231346 \tabularnewline
5 & -0.157262 & -2.0685 & 0.020042 \tabularnewline
6 & -0.123127 & -1.6195 & 0.053582 \tabularnewline
7 & -0.016438 & -0.2162 & 0.41454 \tabularnewline
8 & 0.049795 & 0.6549 & 0.256686 \tabularnewline
9 & 0.084393 & 1.11 & 0.134267 \tabularnewline
10 & -0.126988 & -1.6703 & 0.048337 \tabularnewline
11 & 0.19853 & 2.6112 & 0.004907 \tabularnewline
12 & -0.337082 & -4.4336 & 8e-06 \tabularnewline
13 & -0.163686 & -2.153 & 0.016354 \tabularnewline
14 & -0.269547 & -3.5453 & 0.000252 \tabularnewline
15 & 0.05026 & 0.6611 & 0.254725 \tabularnewline
16 & 0.147889 & 1.9452 & 0.026687 \tabularnewline
17 & -0.130994 & -1.723 & 0.043342 \tabularnewline
18 & -0.042484 & -0.5588 & 0.288515 \tabularnewline
19 & -0.008128 & -0.1069 & 0.457495 \tabularnewline
20 & 0.012363 & 0.1626 & 0.43551 \tabularnewline
21 & -0.005791 & -0.0762 & 0.469688 \tabularnewline
22 & -0.035621 & -0.4685 & 0.32 \tabularnewline
23 & 0.021018 & 0.2764 & 0.391269 \tabularnewline
24 & -0.095174 & -1.2518 & 0.106164 \tabularnewline
25 & -0.057949 & -0.7622 & 0.223487 \tabularnewline
26 & -0.058024 & -0.7632 & 0.223196 \tabularnewline
27 & 0.003387 & 0.0445 & 0.48226 \tabularnewline
28 & -0.126251 & -1.6606 & 0.049305 \tabularnewline
29 & 0.065885 & 0.8666 & 0.193686 \tabularnewline
30 & -0.112169 & -1.4753 & 0.070968 \tabularnewline
31 & -0.055442 & -0.7292 & 0.233424 \tabularnewline
32 & 0.047919 & 0.6303 & 0.264675 \tabularnewline
33 & -0.026251 & -0.3453 & 0.365151 \tabularnewline
34 & 0.023654 & 0.3111 & 0.378042 \tabularnewline
35 & 0.00245 & 0.0322 & 0.487167 \tabularnewline
36 & -0.019965 & -0.2626 & 0.396587 \tabularnewline
37 & -0.007379 & -0.0971 & 0.461396 \tabularnewline
38 & -0.058755 & -0.7728 & 0.220346 \tabularnewline
39 & -0.100235 & -1.3184 & 0.094558 \tabularnewline
40 & -0.032424 & -0.4265 & 0.335148 \tabularnewline
41 & 0.047652 & 0.6268 & 0.265818 \tabularnewline
42 & -0.048041 & -0.6319 & 0.264149 \tabularnewline
43 & -0.027721 & -0.3646 & 0.357924 \tabularnewline
44 & 0.023106 & 0.3039 & 0.380782 \tabularnewline
45 & -0.019743 & -0.2597 & 0.397708 \tabularnewline
46 & -0.040554 & -0.5334 & 0.297221 \tabularnewline
47 & 0.073189 & 0.9626 & 0.168534 \tabularnewline
48 & -0.062777 & -0.8257 & 0.205055 \tabularnewline
49 & -0.011607 & -0.1527 & 0.43942 \tabularnewline
50 & -0.022804 & -0.2999 & 0.382291 \tabularnewline
51 & -0.031876 & -0.4193 & 0.337772 \tabularnewline
52 & -0.108425 & -1.4261 & 0.077819 \tabularnewline
53 & 0.027608 & 0.3631 & 0.358477 \tabularnewline
54 & -0.10184 & -1.3395 & 0.091083 \tabularnewline
55 & 0.027891 & 0.3668 & 0.357091 \tabularnewline
56 & 0.065758 & 0.8649 & 0.194143 \tabularnewline
57 & -0.015837 & -0.2083 & 0.417618 \tabularnewline
58 & -0.042078 & -0.5534 & 0.290336 \tabularnewline
59 & -0.005028 & -0.0661 & 0.473674 \tabularnewline
60 & -0.03255 & -0.4281 & 0.334545 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=69062&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]-0.477054[/C][C]-6.2747[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.120657[/C][C]-1.587[/C][C]0.05717[/C][/ROW]
[ROW][C]3[/C][C]-0.126212[/C][C]-1.6601[/C][C]0.049357[/C][/ROW]
[ROW][C]4[/C][C]-0.055962[/C][C]-0.7361[/C][C]0.231346[/C][/ROW]
[ROW][C]5[/C][C]-0.157262[/C][C]-2.0685[/C][C]0.020042[/C][/ROW]
[ROW][C]6[/C][C]-0.123127[/C][C]-1.6195[/C][C]0.053582[/C][/ROW]
[ROW][C]7[/C][C]-0.016438[/C][C]-0.2162[/C][C]0.41454[/C][/ROW]
[ROW][C]8[/C][C]0.049795[/C][C]0.6549[/C][C]0.256686[/C][/ROW]
[ROW][C]9[/C][C]0.084393[/C][C]1.11[/C][C]0.134267[/C][/ROW]
[ROW][C]10[/C][C]-0.126988[/C][C]-1.6703[/C][C]0.048337[/C][/ROW]
[ROW][C]11[/C][C]0.19853[/C][C]2.6112[/C][C]0.004907[/C][/ROW]
[ROW][C]12[/C][C]-0.337082[/C][C]-4.4336[/C][C]8e-06[/C][/ROW]
[ROW][C]13[/C][C]-0.163686[/C][C]-2.153[/C][C]0.016354[/C][/ROW]
[ROW][C]14[/C][C]-0.269547[/C][C]-3.5453[/C][C]0.000252[/C][/ROW]
[ROW][C]15[/C][C]0.05026[/C][C]0.6611[/C][C]0.254725[/C][/ROW]
[ROW][C]16[/C][C]0.147889[/C][C]1.9452[/C][C]0.026687[/C][/ROW]
[ROW][C]17[/C][C]-0.130994[/C][C]-1.723[/C][C]0.043342[/C][/ROW]
[ROW][C]18[/C][C]-0.042484[/C][C]-0.5588[/C][C]0.288515[/C][/ROW]
[ROW][C]19[/C][C]-0.008128[/C][C]-0.1069[/C][C]0.457495[/C][/ROW]
[ROW][C]20[/C][C]0.012363[/C][C]0.1626[/C][C]0.43551[/C][/ROW]
[ROW][C]21[/C][C]-0.005791[/C][C]-0.0762[/C][C]0.469688[/C][/ROW]
[ROW][C]22[/C][C]-0.035621[/C][C]-0.4685[/C][C]0.32[/C][/ROW]
[ROW][C]23[/C][C]0.021018[/C][C]0.2764[/C][C]0.391269[/C][/ROW]
[ROW][C]24[/C][C]-0.095174[/C][C]-1.2518[/C][C]0.106164[/C][/ROW]
[ROW][C]25[/C][C]-0.057949[/C][C]-0.7622[/C][C]0.223487[/C][/ROW]
[ROW][C]26[/C][C]-0.058024[/C][C]-0.7632[/C][C]0.223196[/C][/ROW]
[ROW][C]27[/C][C]0.003387[/C][C]0.0445[/C][C]0.48226[/C][/ROW]
[ROW][C]28[/C][C]-0.126251[/C][C]-1.6606[/C][C]0.049305[/C][/ROW]
[ROW][C]29[/C][C]0.065885[/C][C]0.8666[/C][C]0.193686[/C][/ROW]
[ROW][C]30[/C][C]-0.112169[/C][C]-1.4753[/C][C]0.070968[/C][/ROW]
[ROW][C]31[/C][C]-0.055442[/C][C]-0.7292[/C][C]0.233424[/C][/ROW]
[ROW][C]32[/C][C]0.047919[/C][C]0.6303[/C][C]0.264675[/C][/ROW]
[ROW][C]33[/C][C]-0.026251[/C][C]-0.3453[/C][C]0.365151[/C][/ROW]
[ROW][C]34[/C][C]0.023654[/C][C]0.3111[/C][C]0.378042[/C][/ROW]
[ROW][C]35[/C][C]0.00245[/C][C]0.0322[/C][C]0.487167[/C][/ROW]
[ROW][C]36[/C][C]-0.019965[/C][C]-0.2626[/C][C]0.396587[/C][/ROW]
[ROW][C]37[/C][C]-0.007379[/C][C]-0.0971[/C][C]0.461396[/C][/ROW]
[ROW][C]38[/C][C]-0.058755[/C][C]-0.7728[/C][C]0.220346[/C][/ROW]
[ROW][C]39[/C][C]-0.100235[/C][C]-1.3184[/C][C]0.094558[/C][/ROW]
[ROW][C]40[/C][C]-0.032424[/C][C]-0.4265[/C][C]0.335148[/C][/ROW]
[ROW][C]41[/C][C]0.047652[/C][C]0.6268[/C][C]0.265818[/C][/ROW]
[ROW][C]42[/C][C]-0.048041[/C][C]-0.6319[/C][C]0.264149[/C][/ROW]
[ROW][C]43[/C][C]-0.027721[/C][C]-0.3646[/C][C]0.357924[/C][/ROW]
[ROW][C]44[/C][C]0.023106[/C][C]0.3039[/C][C]0.380782[/C][/ROW]
[ROW][C]45[/C][C]-0.019743[/C][C]-0.2597[/C][C]0.397708[/C][/ROW]
[ROW][C]46[/C][C]-0.040554[/C][C]-0.5334[/C][C]0.297221[/C][/ROW]
[ROW][C]47[/C][C]0.073189[/C][C]0.9626[/C][C]0.168534[/C][/ROW]
[ROW][C]48[/C][C]-0.062777[/C][C]-0.8257[/C][C]0.205055[/C][/ROW]
[ROW][C]49[/C][C]-0.011607[/C][C]-0.1527[/C][C]0.43942[/C][/ROW]
[ROW][C]50[/C][C]-0.022804[/C][C]-0.2999[/C][C]0.382291[/C][/ROW]
[ROW][C]51[/C][C]-0.031876[/C][C]-0.4193[/C][C]0.337772[/C][/ROW]
[ROW][C]52[/C][C]-0.108425[/C][C]-1.4261[/C][C]0.077819[/C][/ROW]
[ROW][C]53[/C][C]0.027608[/C][C]0.3631[/C][C]0.358477[/C][/ROW]
[ROW][C]54[/C][C]-0.10184[/C][C]-1.3395[/C][C]0.091083[/C][/ROW]
[ROW][C]55[/C][C]0.027891[/C][C]0.3668[/C][C]0.357091[/C][/ROW]
[ROW][C]56[/C][C]0.065758[/C][C]0.8649[/C][C]0.194143[/C][/ROW]
[ROW][C]57[/C][C]-0.015837[/C][C]-0.2083[/C][C]0.417618[/C][/ROW]
[ROW][C]58[/C][C]-0.042078[/C][C]-0.5534[/C][C]0.290336[/C][/ROW]
[ROW][C]59[/C][C]-0.005028[/C][C]-0.0661[/C][C]0.473674[/C][/ROW]
[ROW][C]60[/C][C]-0.03255[/C][C]-0.4281[/C][C]0.334545[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=69062&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=69062&T=2

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.477054-6.27470
2-0.120657-1.5870.05717
3-0.126212-1.66010.049357
4-0.055962-0.73610.231346
5-0.157262-2.06850.020042
6-0.123127-1.61950.053582
7-0.016438-0.21620.41454
80.0497950.65490.256686
90.0843931.110.134267
10-0.126988-1.67030.048337
110.198532.61120.004907
12-0.337082-4.43368e-06
13-0.163686-2.1530.016354
14-0.269547-3.54530.000252
150.050260.66110.254725
160.1478891.94520.026687
17-0.130994-1.7230.043342
18-0.042484-0.55880.288515
19-0.008128-0.10690.457495
200.0123630.16260.43551
21-0.005791-0.07620.469688
22-0.035621-0.46850.32
230.0210180.27640.391269
24-0.095174-1.25180.106164
25-0.057949-0.76220.223487
26-0.058024-0.76320.223196
270.0033870.04450.48226
28-0.126251-1.66060.049305
290.0658850.86660.193686
30-0.112169-1.47530.070968
31-0.055442-0.72920.233424
320.0479190.63030.264675
33-0.026251-0.34530.365151
340.0236540.31110.378042
350.002450.03220.487167
36-0.019965-0.26260.396587
37-0.007379-0.09710.461396
38-0.058755-0.77280.220346
39-0.100235-1.31840.094558
40-0.032424-0.42650.335148
410.0476520.62680.265818
42-0.048041-0.63190.264149
43-0.027721-0.36460.357924
440.0231060.30390.380782
45-0.019743-0.25970.397708
46-0.040554-0.53340.297221
470.0731890.96260.168534
48-0.062777-0.82570.205055
49-0.011607-0.15270.43942
50-0.022804-0.29990.382291
51-0.031876-0.41930.337772
52-0.108425-1.42610.077819
530.0276080.36310.358477
54-0.10184-1.33950.091083
550.0278910.36680.357091
560.0657580.86490.194143
57-0.015837-0.20830.417618
58-0.042078-0.55340.290336
59-0.005028-0.06610.473674
60-0.03255-0.42810.334545


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ; par6 = MA ; par7 = 0.95 ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; 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')