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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationSun, 14 Dec 2008 10:43:20 -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/14/t1229276804wdbkhksqtdvxoax.htm/, Retrieved Wed, 15 May 2024 08:35:19 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=33508, Retrieved Wed, 15 May 2024 08:35:19 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact160
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [(Partial) Autocorrelation Function] [WS4: Q2 werkloosheid] [2007-12-06 14:19:23] [facee4845e9b5ee3907d580f68f35c44]
-   PD    [(Partial) Autocorrelation Function] [Autocorrelation VSA] [2008-12-14 17:43:20] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
358.59
362.96
362.42
364.97
364.04
361.06
358.48
352.96
359.59
360.39
357.40
362.93
364.55
365.73
364.70
364.65
359.43
362.14
356.97
354.82
353.17
357.06
356.18
355.01
355.65
357.31
357.07
357.91
358.48
358.97
351.77
352.16
359.08
360.35
359.53
359.30
358.41
359.68
355.31
357.08
349.71
354.13
345.49
341.69
344.25
340.17
342.47
344.43
333.23
339.72
342.61
346.36
339.09
339.73
341.12
335.94
333.46
335.66
341.12
342.21
342.62
346.06
344.43
346.65
343.74
335.67
342.75
341.77
345.84
346.52
350.79
345.44
345.87
338.48
337.21
340.81
339.86
342.86
343.33
341.73
351.38
351.13
345.99
347.55
346.02
345.29
347.03
348.01
345.48
349.40
351.05
349.70
350.86
354.45
355.30
357.48
355.24
351.79
355.22
351.02
350.28
350.17
348.16
340.30
343.75
344.71
344.13
342.14
345.04
346.02
346.43
347.07
339.33
339.10
337.19
339.58
327.85
326.81
321.73
320.45
327.69
323.95
320.47
322.13
316.34
314.78
308.90
308.62
314.41
306.88
310.60
321.60
321.50
325.68
324.35
320.01
326.88
332.39
331.48
332.62
324.79
327.12
328.91
328.37
324.83
325.90
326.18
328.94
333.78
328.06
325.87
325.41
318.86
319.13
310.16
311.73
306.54
311.16
311.98
306.72
308.05
300.76
301.90
293.09
292.76
294.58
289.90
296.69
297.21
293.31
296.25
298.60
296.87
301.02
304.73
301.92
295.72
293.18
298.35
297.99
299.85
299.85
304.45
299.45
298.14
298.78
297.02
301.33
294.96
296.69
300.73
301.96
297.38
293.87
285.96
285.41
283.70
284.76
277.11
274.73
274.73
274.73
274.73
274.69
275.42
264.15
276.24
268.88
277.97
280.49
281.09
276.16
272.58
270.94
284.31
283.94
284.18
282.83
283.84
282.71
279.29
280.70
274.47
273.44
275.49
279.46
280.19
288.21
284.80
281.41
283.39
287.97
290.77
290.60
289.67
289.84
298.55
296.07
297.14
295.34
296.25
294.30
296.15
296.49
298.05
301.03
300.52
301.50
296.93
289.84
291.44
286.88
286.74
288.93
292.19
295.39
295.86
293.36
292.86
292.73
296.73
285.02
285.24
288.62
283.36
285.84
291.48
291.41
287.77
284.97
286.05
278.19
281.21
277.92
280.08
269.24
268.48
268.83
269.54
262.37
265.12
265.34
263.32
267.18
260.75
261.78
257.27
255.63
251.39
259.49
261.18
261.65
262.01
265.23
268.10
262.27
263.59
257.85
265.69
271.15
266.69
265.77
262.32
270.48
273.03
269.13
280.65
282.75
281.44
281.99
282.86
287.21
283.11
280.66
282.39
280.83
284.71
279.99
283.50
284.88
288.60
284.80
287.20
286.22
286.54
279.58
283.08
288.88
280.18
284.16
290.57
286.82
273.00
278.69
264.54
271.92
283.60
269.25
263.58
264.16
268.85
269.67
249.41
268.99
268.65
260.16
256.55
251.47
234.93
232.96
215.49
213.68
236.07
235.41
214.77
225.85
224.64
238.26
232.44
222.50
225.28
220.49
216.86
234.70
230.06
238.27
238.56
242.70
249.14
234.89
227.78
234.04
230.70
230.17
218.23
232.20
220.76
215.60
217.69
204.35
191.44
203.84
211.86
210.57
219.57
219.98
226.01
207.04
212.52
217.92
210.45
218.53
223.32
218.76
217.63




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 4 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33508&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]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33508&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33508&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 time4 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Autocorrelation Function
Time lag kACF(k)T-STATP-value
0119.84940
1-0.223938-4.4450.999994
2-0.068793-1.36550.913562
30.0752651.4940.067993
4-0.039439-0.78280.782903
50.0135320.26860.394184
6-0.026224-0.52050.698504
7-0.068468-1.35910.912547
80.086181.71060.043969
9-0.02138-0.42440.664243
100.0635471.26140.103959
110.0353510.70170.241643
12-0.025071-0.49760.690491
130.0339070.6730.25066
14-0.01024-0.20330.580483
15-0.133581-2.65150.995832
160.0116510.23130.408611
170.0861871.71080.043956
18-0.087681-1.74040.958717
19-0.019329-0.38370.649286
200.012070.23960.405391
21-0.070743-1.40420.919477
220.0394060.78220.217287
23-0.023519-0.46680.679565
24-0.004279-0.08490.533818
25-0.009514-0.18880.574846
260.0150060.29790.382986
27-0.007272-0.14430.557346
28-0.021017-0.41720.661614
290.0382940.76010.223821
300.0209740.41630.338698
31-0.094635-1.87840.969471
320.0224390.44540.32814
33-0.027794-0.55170.709264
34-0.015797-0.31360.62299
35-0.052626-1.04460.851577
360.0094520.18760.425641
370.0807521.60290.054881
38-0.027226-0.54040.705391
39-0.013093-0.25990.60246
40-0.004396-0.08730.534745
41-0.015254-0.30280.618893
420.0411660.81710.207178
43-0.056217-1.11590.867421
44-0.073653-1.4620.927727
450.0464650.92230.178465
460.0385030.76430.222585
47-0.04678-0.92860.823158
480.0163010.32360.373216
490.0362210.7190.236291
50-0.077642-1.54120.937959
510.0394980.7840.216752
52-0.067091-1.33170.908138
530.0812971.61370.053697
540.0027780.05510.478025
55-0.06029-1.19670.883932
560.0095420.18940.424939
57-0.001928-0.03830.515255
58-0.012257-0.24330.59605
590.0572131.13570.128396

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 19.8494 & 0 \tabularnewline
1 & -0.223938 & -4.445 & 0.999994 \tabularnewline
2 & -0.068793 & -1.3655 & 0.913562 \tabularnewline
3 & 0.075265 & 1.494 & 0.067993 \tabularnewline
4 & -0.039439 & -0.7828 & 0.782903 \tabularnewline
5 & 0.013532 & 0.2686 & 0.394184 \tabularnewline
6 & -0.026224 & -0.5205 & 0.698504 \tabularnewline
7 & -0.068468 & -1.3591 & 0.912547 \tabularnewline
8 & 0.08618 & 1.7106 & 0.043969 \tabularnewline
9 & -0.02138 & -0.4244 & 0.664243 \tabularnewline
10 & 0.063547 & 1.2614 & 0.103959 \tabularnewline
11 & 0.035351 & 0.7017 & 0.241643 \tabularnewline
12 & -0.025071 & -0.4976 & 0.690491 \tabularnewline
13 & 0.033907 & 0.673 & 0.25066 \tabularnewline
14 & -0.01024 & -0.2033 & 0.580483 \tabularnewline
15 & -0.133581 & -2.6515 & 0.995832 \tabularnewline
16 & 0.011651 & 0.2313 & 0.408611 \tabularnewline
17 & 0.086187 & 1.7108 & 0.043956 \tabularnewline
18 & -0.087681 & -1.7404 & 0.958717 \tabularnewline
19 & -0.019329 & -0.3837 & 0.649286 \tabularnewline
20 & 0.01207 & 0.2396 & 0.405391 \tabularnewline
21 & -0.070743 & -1.4042 & 0.919477 \tabularnewline
22 & 0.039406 & 0.7822 & 0.217287 \tabularnewline
23 & -0.023519 & -0.4668 & 0.679565 \tabularnewline
24 & -0.004279 & -0.0849 & 0.533818 \tabularnewline
25 & -0.009514 & -0.1888 & 0.574846 \tabularnewline
26 & 0.015006 & 0.2979 & 0.382986 \tabularnewline
27 & -0.007272 & -0.1443 & 0.557346 \tabularnewline
28 & -0.021017 & -0.4172 & 0.661614 \tabularnewline
29 & 0.038294 & 0.7601 & 0.223821 \tabularnewline
30 & 0.020974 & 0.4163 & 0.338698 \tabularnewline
31 & -0.094635 & -1.8784 & 0.969471 \tabularnewline
32 & 0.022439 & 0.4454 & 0.32814 \tabularnewline
33 & -0.027794 & -0.5517 & 0.709264 \tabularnewline
34 & -0.015797 & -0.3136 & 0.62299 \tabularnewline
35 & -0.052626 & -1.0446 & 0.851577 \tabularnewline
36 & 0.009452 & 0.1876 & 0.425641 \tabularnewline
37 & 0.080752 & 1.6029 & 0.054881 \tabularnewline
38 & -0.027226 & -0.5404 & 0.705391 \tabularnewline
39 & -0.013093 & -0.2599 & 0.60246 \tabularnewline
40 & -0.004396 & -0.0873 & 0.534745 \tabularnewline
41 & -0.015254 & -0.3028 & 0.618893 \tabularnewline
42 & 0.041166 & 0.8171 & 0.207178 \tabularnewline
43 & -0.056217 & -1.1159 & 0.867421 \tabularnewline
44 & -0.073653 & -1.462 & 0.927727 \tabularnewline
45 & 0.046465 & 0.9223 & 0.178465 \tabularnewline
46 & 0.038503 & 0.7643 & 0.222585 \tabularnewline
47 & -0.04678 & -0.9286 & 0.823158 \tabularnewline
48 & 0.016301 & 0.3236 & 0.373216 \tabularnewline
49 & 0.036221 & 0.719 & 0.236291 \tabularnewline
50 & -0.077642 & -1.5412 & 0.937959 \tabularnewline
51 & 0.039498 & 0.784 & 0.216752 \tabularnewline
52 & -0.067091 & -1.3317 & 0.908138 \tabularnewline
53 & 0.081297 & 1.6137 & 0.053697 \tabularnewline
54 & 0.002778 & 0.0551 & 0.478025 \tabularnewline
55 & -0.06029 & -1.1967 & 0.883932 \tabularnewline
56 & 0.009542 & 0.1894 & 0.424939 \tabularnewline
57 & -0.001928 & -0.0383 & 0.515255 \tabularnewline
58 & -0.012257 & -0.2433 & 0.59605 \tabularnewline
59 & 0.057213 & 1.1357 & 0.128396 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33508&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]0[/C][C]1[/C][C]19.8494[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]-0.223938[/C][C]-4.445[/C][C]0.999994[/C][/ROW]
[ROW][C]2[/C][C]-0.068793[/C][C]-1.3655[/C][C]0.913562[/C][/ROW]
[ROW][C]3[/C][C]0.075265[/C][C]1.494[/C][C]0.067993[/C][/ROW]
[ROW][C]4[/C][C]-0.039439[/C][C]-0.7828[/C][C]0.782903[/C][/ROW]
[ROW][C]5[/C][C]0.013532[/C][C]0.2686[/C][C]0.394184[/C][/ROW]
[ROW][C]6[/C][C]-0.026224[/C][C]-0.5205[/C][C]0.698504[/C][/ROW]
[ROW][C]7[/C][C]-0.068468[/C][C]-1.3591[/C][C]0.912547[/C][/ROW]
[ROW][C]8[/C][C]0.08618[/C][C]1.7106[/C][C]0.043969[/C][/ROW]
[ROW][C]9[/C][C]-0.02138[/C][C]-0.4244[/C][C]0.664243[/C][/ROW]
[ROW][C]10[/C][C]0.063547[/C][C]1.2614[/C][C]0.103959[/C][/ROW]
[ROW][C]11[/C][C]0.035351[/C][C]0.7017[/C][C]0.241643[/C][/ROW]
[ROW][C]12[/C][C]-0.025071[/C][C]-0.4976[/C][C]0.690491[/C][/ROW]
[ROW][C]13[/C][C]0.033907[/C][C]0.673[/C][C]0.25066[/C][/ROW]
[ROW][C]14[/C][C]-0.01024[/C][C]-0.2033[/C][C]0.580483[/C][/ROW]
[ROW][C]15[/C][C]-0.133581[/C][C]-2.6515[/C][C]0.995832[/C][/ROW]
[ROW][C]16[/C][C]0.011651[/C][C]0.2313[/C][C]0.408611[/C][/ROW]
[ROW][C]17[/C][C]0.086187[/C][C]1.7108[/C][C]0.043956[/C][/ROW]
[ROW][C]18[/C][C]-0.087681[/C][C]-1.7404[/C][C]0.958717[/C][/ROW]
[ROW][C]19[/C][C]-0.019329[/C][C]-0.3837[/C][C]0.649286[/C][/ROW]
[ROW][C]20[/C][C]0.01207[/C][C]0.2396[/C][C]0.405391[/C][/ROW]
[ROW][C]21[/C][C]-0.070743[/C][C]-1.4042[/C][C]0.919477[/C][/ROW]
[ROW][C]22[/C][C]0.039406[/C][C]0.7822[/C][C]0.217287[/C][/ROW]
[ROW][C]23[/C][C]-0.023519[/C][C]-0.4668[/C][C]0.679565[/C][/ROW]
[ROW][C]24[/C][C]-0.004279[/C][C]-0.0849[/C][C]0.533818[/C][/ROW]
[ROW][C]25[/C][C]-0.009514[/C][C]-0.1888[/C][C]0.574846[/C][/ROW]
[ROW][C]26[/C][C]0.015006[/C][C]0.2979[/C][C]0.382986[/C][/ROW]
[ROW][C]27[/C][C]-0.007272[/C][C]-0.1443[/C][C]0.557346[/C][/ROW]
[ROW][C]28[/C][C]-0.021017[/C][C]-0.4172[/C][C]0.661614[/C][/ROW]
[ROW][C]29[/C][C]0.038294[/C][C]0.7601[/C][C]0.223821[/C][/ROW]
[ROW][C]30[/C][C]0.020974[/C][C]0.4163[/C][C]0.338698[/C][/ROW]
[ROW][C]31[/C][C]-0.094635[/C][C]-1.8784[/C][C]0.969471[/C][/ROW]
[ROW][C]32[/C][C]0.022439[/C][C]0.4454[/C][C]0.32814[/C][/ROW]
[ROW][C]33[/C][C]-0.027794[/C][C]-0.5517[/C][C]0.709264[/C][/ROW]
[ROW][C]34[/C][C]-0.015797[/C][C]-0.3136[/C][C]0.62299[/C][/ROW]
[ROW][C]35[/C][C]-0.052626[/C][C]-1.0446[/C][C]0.851577[/C][/ROW]
[ROW][C]36[/C][C]0.009452[/C][C]0.1876[/C][C]0.425641[/C][/ROW]
[ROW][C]37[/C][C]0.080752[/C][C]1.6029[/C][C]0.054881[/C][/ROW]
[ROW][C]38[/C][C]-0.027226[/C][C]-0.5404[/C][C]0.705391[/C][/ROW]
[ROW][C]39[/C][C]-0.013093[/C][C]-0.2599[/C][C]0.60246[/C][/ROW]
[ROW][C]40[/C][C]-0.004396[/C][C]-0.0873[/C][C]0.534745[/C][/ROW]
[ROW][C]41[/C][C]-0.015254[/C][C]-0.3028[/C][C]0.618893[/C][/ROW]
[ROW][C]42[/C][C]0.041166[/C][C]0.8171[/C][C]0.207178[/C][/ROW]
[ROW][C]43[/C][C]-0.056217[/C][C]-1.1159[/C][C]0.867421[/C][/ROW]
[ROW][C]44[/C][C]-0.073653[/C][C]-1.462[/C][C]0.927727[/C][/ROW]
[ROW][C]45[/C][C]0.046465[/C][C]0.9223[/C][C]0.178465[/C][/ROW]
[ROW][C]46[/C][C]0.038503[/C][C]0.7643[/C][C]0.222585[/C][/ROW]
[ROW][C]47[/C][C]-0.04678[/C][C]-0.9286[/C][C]0.823158[/C][/ROW]
[ROW][C]48[/C][C]0.016301[/C][C]0.3236[/C][C]0.373216[/C][/ROW]
[ROW][C]49[/C][C]0.036221[/C][C]0.719[/C][C]0.236291[/C][/ROW]
[ROW][C]50[/C][C]-0.077642[/C][C]-1.5412[/C][C]0.937959[/C][/ROW]
[ROW][C]51[/C][C]0.039498[/C][C]0.784[/C][C]0.216752[/C][/ROW]
[ROW][C]52[/C][C]-0.067091[/C][C]-1.3317[/C][C]0.908138[/C][/ROW]
[ROW][C]53[/C][C]0.081297[/C][C]1.6137[/C][C]0.053697[/C][/ROW]
[ROW][C]54[/C][C]0.002778[/C][C]0.0551[/C][C]0.478025[/C][/ROW]
[ROW][C]55[/C][C]-0.06029[/C][C]-1.1967[/C][C]0.883932[/C][/ROW]
[ROW][C]56[/C][C]0.009542[/C][C]0.1894[/C][C]0.424939[/C][/ROW]
[ROW][C]57[/C][C]-0.001928[/C][C]-0.0383[/C][C]0.515255[/C][/ROW]
[ROW][C]58[/C][C]-0.012257[/C][C]-0.2433[/C][C]0.59605[/C][/ROW]
[ROW][C]59[/C][C]0.057213[/C][C]1.1357[/C][C]0.128396[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33508&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33508&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
0119.84940
1-0.223938-4.4450.999994
2-0.068793-1.36550.913562
30.0752651.4940.067993
4-0.039439-0.78280.782903
50.0135320.26860.394184
6-0.026224-0.52050.698504
7-0.068468-1.35910.912547
80.086181.71060.043969
9-0.02138-0.42440.664243
100.0635471.26140.103959
110.0353510.70170.241643
12-0.025071-0.49760.690491
130.0339070.6730.25066
14-0.01024-0.20330.580483
15-0.133581-2.65150.995832
160.0116510.23130.408611
170.0861871.71080.043956
18-0.087681-1.74040.958717
19-0.019329-0.38370.649286
200.012070.23960.405391
21-0.070743-1.40420.919477
220.0394060.78220.217287
23-0.023519-0.46680.679565
24-0.004279-0.08490.533818
25-0.009514-0.18880.574846
260.0150060.29790.382986
27-0.007272-0.14430.557346
28-0.021017-0.41720.661614
290.0382940.76010.223821
300.0209740.41630.338698
31-0.094635-1.87840.969471
320.0224390.44540.32814
33-0.027794-0.55170.709264
34-0.015797-0.31360.62299
35-0.052626-1.04460.851577
360.0094520.18760.425641
370.0807521.60290.054881
38-0.027226-0.54040.705391
39-0.013093-0.25990.60246
40-0.004396-0.08730.534745
41-0.015254-0.30280.618893
420.0411660.81710.207178
43-0.056217-1.11590.867421
44-0.073653-1.4620.927727
450.0464650.92230.178465
460.0385030.76430.222585
47-0.04678-0.92860.823158
480.0163010.32360.373216
490.0362210.7190.236291
50-0.077642-1.54120.937959
510.0394980.7840.216752
52-0.067091-1.33170.908138
530.0812971.61370.053697
540.0027780.05510.478025
55-0.06029-1.19670.883932
560.0095420.18940.424939
57-0.001928-0.03830.515255
58-0.012257-0.24330.59605
590.0572131.13570.128396







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
0-0.223938-4.4450.999994
1-0.12522-2.48560.993326
20.0319680.63450.263045
3-0.023208-0.46070.677351
40.0100820.20010.420747
5-0.030909-0.61350.73006
6-0.082683-1.64120.949223
70.0466970.92690.17727
80.0014270.02830.488707
90.0832751.6530.049567
100.0629111.24870.106249
110.0149220.29620.383616
120.0286810.56930.284739
130.0014470.02870.488552
14-0.129797-2.57640.994827
15-0.061739-1.22550.889436
160.073031.44960.073983
17-0.048224-0.95720.83048
18-0.051077-1.01380.844361
19-0.031459-0.62450.733654
20-0.103754-2.05950.979947
21-0.022301-0.44270.670874
22-0.015884-0.31530.623643
230.0076420.15170.439755
24-0.015518-0.3080.620884
250.033620.66730.252472
26-0.012162-0.24140.595316
27-0.021197-0.42080.662919
280.0506931.00620.157463
290.0264120.52430.300192
30-0.064806-1.28640.900464
310.0073170.14520.442298
32-0.054794-1.08760.861286
33-0.055368-1.0990.863786
34-0.085754-1.70220.955244
35-0.042526-0.84410.80044
360.0559631.11080.133657
370.0099490.19750.421779
38-0.022609-0.44880.673081
39-0.048941-0.97150.834043
40-0.018899-0.37510.646121
410.0295820.58720.278705
42-0.028298-0.56170.712682
43-0.060088-1.19270.88315
440.0073020.14490.442416
450.0227870.45230.325647
46-0.041096-0.81570.792424
47-0.005749-0.11410.545398
480.0151520.30080.381881
49-0.096598-1.91740.972046
500.0008820.01750.493021
51-0.067894-1.34770.910729
520.0614091.21890.111799
53-0.002295-0.04550.518152
54-0.046108-0.91520.819682
55-0.049014-0.97290.834399
56-0.011727-0.23280.591969
57-0.018517-0.36760.643299
580.0043610.08660.465532
590.0154520.30670.379613

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & -0.223938 & -4.445 & 0.999994 \tabularnewline
1 & -0.12522 & -2.4856 & 0.993326 \tabularnewline
2 & 0.031968 & 0.6345 & 0.263045 \tabularnewline
3 & -0.023208 & -0.4607 & 0.677351 \tabularnewline
4 & 0.010082 & 0.2001 & 0.420747 \tabularnewline
5 & -0.030909 & -0.6135 & 0.73006 \tabularnewline
6 & -0.082683 & -1.6412 & 0.949223 \tabularnewline
7 & 0.046697 & 0.9269 & 0.17727 \tabularnewline
8 & 0.001427 & 0.0283 & 0.488707 \tabularnewline
9 & 0.083275 & 1.653 & 0.049567 \tabularnewline
10 & 0.062911 & 1.2487 & 0.106249 \tabularnewline
11 & 0.014922 & 0.2962 & 0.383616 \tabularnewline
12 & 0.028681 & 0.5693 & 0.284739 \tabularnewline
13 & 0.001447 & 0.0287 & 0.488552 \tabularnewline
14 & -0.129797 & -2.5764 & 0.994827 \tabularnewline
15 & -0.061739 & -1.2255 & 0.889436 \tabularnewline
16 & 0.07303 & 1.4496 & 0.073983 \tabularnewline
17 & -0.048224 & -0.9572 & 0.83048 \tabularnewline
18 & -0.051077 & -1.0138 & 0.844361 \tabularnewline
19 & -0.031459 & -0.6245 & 0.733654 \tabularnewline
20 & -0.103754 & -2.0595 & 0.979947 \tabularnewline
21 & -0.022301 & -0.4427 & 0.670874 \tabularnewline
22 & -0.015884 & -0.3153 & 0.623643 \tabularnewline
23 & 0.007642 & 0.1517 & 0.439755 \tabularnewline
24 & -0.015518 & -0.308 & 0.620884 \tabularnewline
25 & 0.03362 & 0.6673 & 0.252472 \tabularnewline
26 & -0.012162 & -0.2414 & 0.595316 \tabularnewline
27 & -0.021197 & -0.4208 & 0.662919 \tabularnewline
28 & 0.050693 & 1.0062 & 0.157463 \tabularnewline
29 & 0.026412 & 0.5243 & 0.300192 \tabularnewline
30 & -0.064806 & -1.2864 & 0.900464 \tabularnewline
31 & 0.007317 & 0.1452 & 0.442298 \tabularnewline
32 & -0.054794 & -1.0876 & 0.861286 \tabularnewline
33 & -0.055368 & -1.099 & 0.863786 \tabularnewline
34 & -0.085754 & -1.7022 & 0.955244 \tabularnewline
35 & -0.042526 & -0.8441 & 0.80044 \tabularnewline
36 & 0.055963 & 1.1108 & 0.133657 \tabularnewline
37 & 0.009949 & 0.1975 & 0.421779 \tabularnewline
38 & -0.022609 & -0.4488 & 0.673081 \tabularnewline
39 & -0.048941 & -0.9715 & 0.834043 \tabularnewline
40 & -0.018899 & -0.3751 & 0.646121 \tabularnewline
41 & 0.029582 & 0.5872 & 0.278705 \tabularnewline
42 & -0.028298 & -0.5617 & 0.712682 \tabularnewline
43 & -0.060088 & -1.1927 & 0.88315 \tabularnewline
44 & 0.007302 & 0.1449 & 0.442416 \tabularnewline
45 & 0.022787 & 0.4523 & 0.325647 \tabularnewline
46 & -0.041096 & -0.8157 & 0.792424 \tabularnewline
47 & -0.005749 & -0.1141 & 0.545398 \tabularnewline
48 & 0.015152 & 0.3008 & 0.381881 \tabularnewline
49 & -0.096598 & -1.9174 & 0.972046 \tabularnewline
50 & 0.000882 & 0.0175 & 0.493021 \tabularnewline
51 & -0.067894 & -1.3477 & 0.910729 \tabularnewline
52 & 0.061409 & 1.2189 & 0.111799 \tabularnewline
53 & -0.002295 & -0.0455 & 0.518152 \tabularnewline
54 & -0.046108 & -0.9152 & 0.819682 \tabularnewline
55 & -0.049014 & -0.9729 & 0.834399 \tabularnewline
56 & -0.011727 & -0.2328 & 0.591969 \tabularnewline
57 & -0.018517 & -0.3676 & 0.643299 \tabularnewline
58 & 0.004361 & 0.0866 & 0.465532 \tabularnewline
59 & 0.015452 & 0.3067 & 0.379613 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33508&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]0[/C][C]-0.223938[/C][C]-4.445[/C][C]0.999994[/C][/ROW]
[ROW][C]1[/C][C]-0.12522[/C][C]-2.4856[/C][C]0.993326[/C][/ROW]
[ROW][C]2[/C][C]0.031968[/C][C]0.6345[/C][C]0.263045[/C][/ROW]
[ROW][C]3[/C][C]-0.023208[/C][C]-0.4607[/C][C]0.677351[/C][/ROW]
[ROW][C]4[/C][C]0.010082[/C][C]0.2001[/C][C]0.420747[/C][/ROW]
[ROW][C]5[/C][C]-0.030909[/C][C]-0.6135[/C][C]0.73006[/C][/ROW]
[ROW][C]6[/C][C]-0.082683[/C][C]-1.6412[/C][C]0.949223[/C][/ROW]
[ROW][C]7[/C][C]0.046697[/C][C]0.9269[/C][C]0.17727[/C][/ROW]
[ROW][C]8[/C][C]0.001427[/C][C]0.0283[/C][C]0.488707[/C][/ROW]
[ROW][C]9[/C][C]0.083275[/C][C]1.653[/C][C]0.049567[/C][/ROW]
[ROW][C]10[/C][C]0.062911[/C][C]1.2487[/C][C]0.106249[/C][/ROW]
[ROW][C]11[/C][C]0.014922[/C][C]0.2962[/C][C]0.383616[/C][/ROW]
[ROW][C]12[/C][C]0.028681[/C][C]0.5693[/C][C]0.284739[/C][/ROW]
[ROW][C]13[/C][C]0.001447[/C][C]0.0287[/C][C]0.488552[/C][/ROW]
[ROW][C]14[/C][C]-0.129797[/C][C]-2.5764[/C][C]0.994827[/C][/ROW]
[ROW][C]15[/C][C]-0.061739[/C][C]-1.2255[/C][C]0.889436[/C][/ROW]
[ROW][C]16[/C][C]0.07303[/C][C]1.4496[/C][C]0.073983[/C][/ROW]
[ROW][C]17[/C][C]-0.048224[/C][C]-0.9572[/C][C]0.83048[/C][/ROW]
[ROW][C]18[/C][C]-0.051077[/C][C]-1.0138[/C][C]0.844361[/C][/ROW]
[ROW][C]19[/C][C]-0.031459[/C][C]-0.6245[/C][C]0.733654[/C][/ROW]
[ROW][C]20[/C][C]-0.103754[/C][C]-2.0595[/C][C]0.979947[/C][/ROW]
[ROW][C]21[/C][C]-0.022301[/C][C]-0.4427[/C][C]0.670874[/C][/ROW]
[ROW][C]22[/C][C]-0.015884[/C][C]-0.3153[/C][C]0.623643[/C][/ROW]
[ROW][C]23[/C][C]0.007642[/C][C]0.1517[/C][C]0.439755[/C][/ROW]
[ROW][C]24[/C][C]-0.015518[/C][C]-0.308[/C][C]0.620884[/C][/ROW]
[ROW][C]25[/C][C]0.03362[/C][C]0.6673[/C][C]0.252472[/C][/ROW]
[ROW][C]26[/C][C]-0.012162[/C][C]-0.2414[/C][C]0.595316[/C][/ROW]
[ROW][C]27[/C][C]-0.021197[/C][C]-0.4208[/C][C]0.662919[/C][/ROW]
[ROW][C]28[/C][C]0.050693[/C][C]1.0062[/C][C]0.157463[/C][/ROW]
[ROW][C]29[/C][C]0.026412[/C][C]0.5243[/C][C]0.300192[/C][/ROW]
[ROW][C]30[/C][C]-0.064806[/C][C]-1.2864[/C][C]0.900464[/C][/ROW]
[ROW][C]31[/C][C]0.007317[/C][C]0.1452[/C][C]0.442298[/C][/ROW]
[ROW][C]32[/C][C]-0.054794[/C][C]-1.0876[/C][C]0.861286[/C][/ROW]
[ROW][C]33[/C][C]-0.055368[/C][C]-1.099[/C][C]0.863786[/C][/ROW]
[ROW][C]34[/C][C]-0.085754[/C][C]-1.7022[/C][C]0.955244[/C][/ROW]
[ROW][C]35[/C][C]-0.042526[/C][C]-0.8441[/C][C]0.80044[/C][/ROW]
[ROW][C]36[/C][C]0.055963[/C][C]1.1108[/C][C]0.133657[/C][/ROW]
[ROW][C]37[/C][C]0.009949[/C][C]0.1975[/C][C]0.421779[/C][/ROW]
[ROW][C]38[/C][C]-0.022609[/C][C]-0.4488[/C][C]0.673081[/C][/ROW]
[ROW][C]39[/C][C]-0.048941[/C][C]-0.9715[/C][C]0.834043[/C][/ROW]
[ROW][C]40[/C][C]-0.018899[/C][C]-0.3751[/C][C]0.646121[/C][/ROW]
[ROW][C]41[/C][C]0.029582[/C][C]0.5872[/C][C]0.278705[/C][/ROW]
[ROW][C]42[/C][C]-0.028298[/C][C]-0.5617[/C][C]0.712682[/C][/ROW]
[ROW][C]43[/C][C]-0.060088[/C][C]-1.1927[/C][C]0.88315[/C][/ROW]
[ROW][C]44[/C][C]0.007302[/C][C]0.1449[/C][C]0.442416[/C][/ROW]
[ROW][C]45[/C][C]0.022787[/C][C]0.4523[/C][C]0.325647[/C][/ROW]
[ROW][C]46[/C][C]-0.041096[/C][C]-0.8157[/C][C]0.792424[/C][/ROW]
[ROW][C]47[/C][C]-0.005749[/C][C]-0.1141[/C][C]0.545398[/C][/ROW]
[ROW][C]48[/C][C]0.015152[/C][C]0.3008[/C][C]0.381881[/C][/ROW]
[ROW][C]49[/C][C]-0.096598[/C][C]-1.9174[/C][C]0.972046[/C][/ROW]
[ROW][C]50[/C][C]0.000882[/C][C]0.0175[/C][C]0.493021[/C][/ROW]
[ROW][C]51[/C][C]-0.067894[/C][C]-1.3477[/C][C]0.910729[/C][/ROW]
[ROW][C]52[/C][C]0.061409[/C][C]1.2189[/C][C]0.111799[/C][/ROW]
[ROW][C]53[/C][C]-0.002295[/C][C]-0.0455[/C][C]0.518152[/C][/ROW]
[ROW][C]54[/C][C]-0.046108[/C][C]-0.9152[/C][C]0.819682[/C][/ROW]
[ROW][C]55[/C][C]-0.049014[/C][C]-0.9729[/C][C]0.834399[/C][/ROW]
[ROW][C]56[/C][C]-0.011727[/C][C]-0.2328[/C][C]0.591969[/C][/ROW]
[ROW][C]57[/C][C]-0.018517[/C][C]-0.3676[/C][C]0.643299[/C][/ROW]
[ROW][C]58[/C][C]0.004361[/C][C]0.0866[/C][C]0.465532[/C][/ROW]
[ROW][C]59[/C][C]0.015452[/C][C]0.3067[/C][C]0.379613[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33508&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33508&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
0-0.223938-4.4450.999994
1-0.12522-2.48560.993326
20.0319680.63450.263045
3-0.023208-0.46070.677351
40.0100820.20010.420747
5-0.030909-0.61350.73006
6-0.082683-1.64120.949223
70.0466970.92690.17727
80.0014270.02830.488707
90.0832751.6530.049567
100.0629111.24870.106249
110.0149220.29620.383616
120.0286810.56930.284739
130.0014470.02870.488552
14-0.129797-2.57640.994827
15-0.061739-1.22550.889436
160.073031.44960.073983
17-0.048224-0.95720.83048
18-0.051077-1.01380.844361
19-0.031459-0.62450.733654
20-0.103754-2.05950.979947
21-0.022301-0.44270.670874
22-0.015884-0.31530.623643
230.0076420.15170.439755
24-0.015518-0.3080.620884
250.033620.66730.252472
26-0.012162-0.24140.595316
27-0.021197-0.42080.662919
280.0506931.00620.157463
290.0264120.52430.300192
30-0.064806-1.28640.900464
310.0073170.14520.442298
32-0.054794-1.08760.861286
33-0.055368-1.0990.863786
34-0.085754-1.70220.955244
35-0.042526-0.84410.80044
360.0559631.11080.133657
370.0099490.19750.421779
38-0.022609-0.44880.673081
39-0.048941-0.97150.834043
40-0.018899-0.37510.646121
410.0295820.58720.278705
42-0.028298-0.56170.712682
43-0.060088-1.19270.88315
440.0073020.14490.442416
450.0227870.45230.325647
46-0.041096-0.81570.792424
47-0.005749-0.11410.545398
480.0151520.30080.381881
49-0.096598-1.91740.972046
500.0008820.01750.493021
51-0.067894-1.34770.910729
520.0614091.21890.111799
53-0.002295-0.04550.518152
54-0.046108-0.91520.819682
55-0.049014-0.97290.834399
56-0.011727-0.23280.591969
57-0.018517-0.36760.643299
580.0043610.08660.465532
590.0154520.30670.379613



Parameters (Session):
par1 = 60 ; par2 = 2.0 ; par3 = 1 ; par4 = 0 ; par5 = 1 ;
Parameters (R input):
par1 = 60 ; par2 = 2.0 ; par3 = 1 ; par4 = 0 ; par5 = 1 ;
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 1:par1) {
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(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-1,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(mytstat,lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')