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of Irreproducible Research!

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 computationSun, 07 Dec 2008 09:39:27 -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/07/t1228668035xbrw4vh564995v9.htm/, Retrieved Sun, 19 May 2024 10:50:04 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=30157, Retrieved Sun, 19 May 2024 10:50:04 +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 Data Series] [data set] [2008-12-01 19:54:57] [b98453cac15ba1066b407e146608df68]
F RMPD    [(Partial) Autocorrelation Function] [workshop8, step3,...] [2008-12-07 16:39:27] [a16dfd7e948381d8b6391003c5d09447] [Current]
Feedback Forum
2008-12-15 20:01:17 [Peter Van Doninck] [reply
De lange termijntrend is inderdaad verdwenen. Van seizoenaliteit is er echter geen sprake meer op lag 12 en lag 24.

Post a new message
Dataseries X:
7.5
7.2
6.9
6.7
6.4
6.3
6.8
7.3
7.1
7.1
6.8
6.5
6.3
6.1
6.1
6.3
6.3
6
6.2
6.4
6.8
7.5
7.5
7.6
7.6
7.4
7.3
7.1
6.9
6.8
7.5
7.6
7.8
8
8.1
8.2
8.3
8.2
8
7.9
7.6
7.6
8.2
8.3
8.4
8.4
8.4
8.6
8.9
8.8
8.3
7.5
7.2
7.5
8.8
9.3
9.3
8.7
8.2
8.3
8.5
8.6
8.6
8.2
8.1
8
8.6
8.7
8.8
8.5
8.4
8.5
8.7
8.7
8.6
8.5
8.3
8.1
8.2
8.1
8.1
7.9
7.9
7.9
8
8
7.9
8
7.7
7.2
7.5
7.3
7
7
7
7.2
7.3
7.1
6.8
6.6
6.2
6.2
6.8
6.9
6.8
6.7




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=30157&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=30157&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=30157&T=0

As an alternative you can also use a QR Code:  

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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.4715054.5478e-06
2-0.079734-0.76890.221941
3-0.483994-4.66755e-06
4-0.479357-4.62276e-06
5-0.116715-1.12560.131625
60.1619441.56170.060874
70.2767432.66880.004491
80.2681442.58590.005633
90.1596881.540.063481
10-0.042511-0.410.341389
11-0.159931-1.54230.063196
12-0.244093-2.3540.01034
13-0.063365-0.61110.271322
140.107521.03690.151239
150.1302521.25610.106112
160.0847930.81770.207805
17-0.055581-0.5360.296619
18-0.013539-0.13060.448201
19-0.0355-0.34230.366432
200.0278630.26870.394379
21-0.015628-0.15070.440266
22-0.044207-0.42630.335433
23-0.014479-0.13960.444626
24-0.029822-0.28760.38715
250.0327440.31580.37644
260.0454660.43850.331036
27-0.006611-0.06380.47465
28-0.108659-1.04790.148707
29-0.170999-1.64910.051256
30-0.188142-1.81440.036422
310.0615310.59340.277181
320.3092782.98260.001825
330.3478443.35450.000576
340.1490381.43730.076999
35-0.245588-2.36840.009968
36-0.42144-4.06425e-05
37-0.343166-3.30940.000666
380.042220.40720.342414
390.2784482.68530.004291
400.3230043.11490.001223
410.2073011.99910.024256
42-0.033098-0.31920.375149
43-0.19052-1.83730.034679
44-0.287416-2.77170.003367
45-0.185351-1.78750.03856
46-0.008225-0.07930.468476
470.1836871.77140.039883
480.2062941.98940.024796
490.1356611.30830.097003
50-0.039144-0.37750.353336
51-0.108269-1.04410.149572
52-0.083777-0.80790.2106
53-0.041065-0.3960.3465
540.0385490.37180.355461
550.0176770.17050.432503
56-0.01375-0.13260.4474
57-0.06922-0.66750.253044
58-0.077567-0.7480.228165
59-0.004739-0.04570.481825
600.0262870.25350.400219

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.471505 & 4.547 & 8e-06 \tabularnewline
2 & -0.079734 & -0.7689 & 0.221941 \tabularnewline
3 & -0.483994 & -4.6675 & 5e-06 \tabularnewline
4 & -0.479357 & -4.6227 & 6e-06 \tabularnewline
5 & -0.116715 & -1.1256 & 0.131625 \tabularnewline
6 & 0.161944 & 1.5617 & 0.060874 \tabularnewline
7 & 0.276743 & 2.6688 & 0.004491 \tabularnewline
8 & 0.268144 & 2.5859 & 0.005633 \tabularnewline
9 & 0.159688 & 1.54 & 0.063481 \tabularnewline
10 & -0.042511 & -0.41 & 0.341389 \tabularnewline
11 & -0.159931 & -1.5423 & 0.063196 \tabularnewline
12 & -0.244093 & -2.354 & 0.01034 \tabularnewline
13 & -0.063365 & -0.6111 & 0.271322 \tabularnewline
14 & 0.10752 & 1.0369 & 0.151239 \tabularnewline
15 & 0.130252 & 1.2561 & 0.106112 \tabularnewline
16 & 0.084793 & 0.8177 & 0.207805 \tabularnewline
17 & -0.055581 & -0.536 & 0.296619 \tabularnewline
18 & -0.013539 & -0.1306 & 0.448201 \tabularnewline
19 & -0.0355 & -0.3423 & 0.366432 \tabularnewline
20 & 0.027863 & 0.2687 & 0.394379 \tabularnewline
21 & -0.015628 & -0.1507 & 0.440266 \tabularnewline
22 & -0.044207 & -0.4263 & 0.335433 \tabularnewline
23 & -0.014479 & -0.1396 & 0.444626 \tabularnewline
24 & -0.029822 & -0.2876 & 0.38715 \tabularnewline
25 & 0.032744 & 0.3158 & 0.37644 \tabularnewline
26 & 0.045466 & 0.4385 & 0.331036 \tabularnewline
27 & -0.006611 & -0.0638 & 0.47465 \tabularnewline
28 & -0.108659 & -1.0479 & 0.148707 \tabularnewline
29 & -0.170999 & -1.6491 & 0.051256 \tabularnewline
30 & -0.188142 & -1.8144 & 0.036422 \tabularnewline
31 & 0.061531 & 0.5934 & 0.277181 \tabularnewline
32 & 0.309278 & 2.9826 & 0.001825 \tabularnewline
33 & 0.347844 & 3.3545 & 0.000576 \tabularnewline
34 & 0.149038 & 1.4373 & 0.076999 \tabularnewline
35 & -0.245588 & -2.3684 & 0.009968 \tabularnewline
36 & -0.42144 & -4.0642 & 5e-05 \tabularnewline
37 & -0.343166 & -3.3094 & 0.000666 \tabularnewline
38 & 0.04222 & 0.4072 & 0.342414 \tabularnewline
39 & 0.278448 & 2.6853 & 0.004291 \tabularnewline
40 & 0.323004 & 3.1149 & 0.001223 \tabularnewline
41 & 0.207301 & 1.9991 & 0.024256 \tabularnewline
42 & -0.033098 & -0.3192 & 0.375149 \tabularnewline
43 & -0.19052 & -1.8373 & 0.034679 \tabularnewline
44 & -0.287416 & -2.7717 & 0.003367 \tabularnewline
45 & -0.185351 & -1.7875 & 0.03856 \tabularnewline
46 & -0.008225 & -0.0793 & 0.468476 \tabularnewline
47 & 0.183687 & 1.7714 & 0.039883 \tabularnewline
48 & 0.206294 & 1.9894 & 0.024796 \tabularnewline
49 & 0.135661 & 1.3083 & 0.097003 \tabularnewline
50 & -0.039144 & -0.3775 & 0.353336 \tabularnewline
51 & -0.108269 & -1.0441 & 0.149572 \tabularnewline
52 & -0.083777 & -0.8079 & 0.2106 \tabularnewline
53 & -0.041065 & -0.396 & 0.3465 \tabularnewline
54 & 0.038549 & 0.3718 & 0.355461 \tabularnewline
55 & 0.017677 & 0.1705 & 0.432503 \tabularnewline
56 & -0.01375 & -0.1326 & 0.4474 \tabularnewline
57 & -0.06922 & -0.6675 & 0.253044 \tabularnewline
58 & -0.077567 & -0.748 & 0.228165 \tabularnewline
59 & -0.004739 & -0.0457 & 0.481825 \tabularnewline
60 & 0.026287 & 0.2535 & 0.400219 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=30157&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]0.471505[/C][C]4.547[/C][C]8e-06[/C][/ROW]
[ROW][C]2[/C][C]-0.079734[/C][C]-0.7689[/C][C]0.221941[/C][/ROW]
[ROW][C]3[/C][C]-0.483994[/C][C]-4.6675[/C][C]5e-06[/C][/ROW]
[ROW][C]4[/C][C]-0.479357[/C][C]-4.6227[/C][C]6e-06[/C][/ROW]
[ROW][C]5[/C][C]-0.116715[/C][C]-1.1256[/C][C]0.131625[/C][/ROW]
[ROW][C]6[/C][C]0.161944[/C][C]1.5617[/C][C]0.060874[/C][/ROW]
[ROW][C]7[/C][C]0.276743[/C][C]2.6688[/C][C]0.004491[/C][/ROW]
[ROW][C]8[/C][C]0.268144[/C][C]2.5859[/C][C]0.005633[/C][/ROW]
[ROW][C]9[/C][C]0.159688[/C][C]1.54[/C][C]0.063481[/C][/ROW]
[ROW][C]10[/C][C]-0.042511[/C][C]-0.41[/C][C]0.341389[/C][/ROW]
[ROW][C]11[/C][C]-0.159931[/C][C]-1.5423[/C][C]0.063196[/C][/ROW]
[ROW][C]12[/C][C]-0.244093[/C][C]-2.354[/C][C]0.01034[/C][/ROW]
[ROW][C]13[/C][C]-0.063365[/C][C]-0.6111[/C][C]0.271322[/C][/ROW]
[ROW][C]14[/C][C]0.10752[/C][C]1.0369[/C][C]0.151239[/C][/ROW]
[ROW][C]15[/C][C]0.130252[/C][C]1.2561[/C][C]0.106112[/C][/ROW]
[ROW][C]16[/C][C]0.084793[/C][C]0.8177[/C][C]0.207805[/C][/ROW]
[ROW][C]17[/C][C]-0.055581[/C][C]-0.536[/C][C]0.296619[/C][/ROW]
[ROW][C]18[/C][C]-0.013539[/C][C]-0.1306[/C][C]0.448201[/C][/ROW]
[ROW][C]19[/C][C]-0.0355[/C][C]-0.3423[/C][C]0.366432[/C][/ROW]
[ROW][C]20[/C][C]0.027863[/C][C]0.2687[/C][C]0.394379[/C][/ROW]
[ROW][C]21[/C][C]-0.015628[/C][C]-0.1507[/C][C]0.440266[/C][/ROW]
[ROW][C]22[/C][C]-0.044207[/C][C]-0.4263[/C][C]0.335433[/C][/ROW]
[ROW][C]23[/C][C]-0.014479[/C][C]-0.1396[/C][C]0.444626[/C][/ROW]
[ROW][C]24[/C][C]-0.029822[/C][C]-0.2876[/C][C]0.38715[/C][/ROW]
[ROW][C]25[/C][C]0.032744[/C][C]0.3158[/C][C]0.37644[/C][/ROW]
[ROW][C]26[/C][C]0.045466[/C][C]0.4385[/C][C]0.331036[/C][/ROW]
[ROW][C]27[/C][C]-0.006611[/C][C]-0.0638[/C][C]0.47465[/C][/ROW]
[ROW][C]28[/C][C]-0.108659[/C][C]-1.0479[/C][C]0.148707[/C][/ROW]
[ROW][C]29[/C][C]-0.170999[/C][C]-1.6491[/C][C]0.051256[/C][/ROW]
[ROW][C]30[/C][C]-0.188142[/C][C]-1.8144[/C][C]0.036422[/C][/ROW]
[ROW][C]31[/C][C]0.061531[/C][C]0.5934[/C][C]0.277181[/C][/ROW]
[ROW][C]32[/C][C]0.309278[/C][C]2.9826[/C][C]0.001825[/C][/ROW]
[ROW][C]33[/C][C]0.347844[/C][C]3.3545[/C][C]0.000576[/C][/ROW]
[ROW][C]34[/C][C]0.149038[/C][C]1.4373[/C][C]0.076999[/C][/ROW]
[ROW][C]35[/C][C]-0.245588[/C][C]-2.3684[/C][C]0.009968[/C][/ROW]
[ROW][C]36[/C][C]-0.42144[/C][C]-4.0642[/C][C]5e-05[/C][/ROW]
[ROW][C]37[/C][C]-0.343166[/C][C]-3.3094[/C][C]0.000666[/C][/ROW]
[ROW][C]38[/C][C]0.04222[/C][C]0.4072[/C][C]0.342414[/C][/ROW]
[ROW][C]39[/C][C]0.278448[/C][C]2.6853[/C][C]0.004291[/C][/ROW]
[ROW][C]40[/C][C]0.323004[/C][C]3.1149[/C][C]0.001223[/C][/ROW]
[ROW][C]41[/C][C]0.207301[/C][C]1.9991[/C][C]0.024256[/C][/ROW]
[ROW][C]42[/C][C]-0.033098[/C][C]-0.3192[/C][C]0.375149[/C][/ROW]
[ROW][C]43[/C][C]-0.19052[/C][C]-1.8373[/C][C]0.034679[/C][/ROW]
[ROW][C]44[/C][C]-0.287416[/C][C]-2.7717[/C][C]0.003367[/C][/ROW]
[ROW][C]45[/C][C]-0.185351[/C][C]-1.7875[/C][C]0.03856[/C][/ROW]
[ROW][C]46[/C][C]-0.008225[/C][C]-0.0793[/C][C]0.468476[/C][/ROW]
[ROW][C]47[/C][C]0.183687[/C][C]1.7714[/C][C]0.039883[/C][/ROW]
[ROW][C]48[/C][C]0.206294[/C][C]1.9894[/C][C]0.024796[/C][/ROW]
[ROW][C]49[/C][C]0.135661[/C][C]1.3083[/C][C]0.097003[/C][/ROW]
[ROW][C]50[/C][C]-0.039144[/C][C]-0.3775[/C][C]0.353336[/C][/ROW]
[ROW][C]51[/C][C]-0.108269[/C][C]-1.0441[/C][C]0.149572[/C][/ROW]
[ROW][C]52[/C][C]-0.083777[/C][C]-0.8079[/C][C]0.2106[/C][/ROW]
[ROW][C]53[/C][C]-0.041065[/C][C]-0.396[/C][C]0.3465[/C][/ROW]
[ROW][C]54[/C][C]0.038549[/C][C]0.3718[/C][C]0.355461[/C][/ROW]
[ROW][C]55[/C][C]0.017677[/C][C]0.1705[/C][C]0.432503[/C][/ROW]
[ROW][C]56[/C][C]-0.01375[/C][C]-0.1326[/C][C]0.4474[/C][/ROW]
[ROW][C]57[/C][C]-0.06922[/C][C]-0.6675[/C][C]0.253044[/C][/ROW]
[ROW][C]58[/C][C]-0.077567[/C][C]-0.748[/C][C]0.228165[/C][/ROW]
[ROW][C]59[/C][C]-0.004739[/C][C]-0.0457[/C][C]0.481825[/C][/ROW]
[ROW][C]60[/C][C]0.026287[/C][C]0.2535[/C][C]0.400219[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=30157&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=30157&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
10.4715054.5478e-06
2-0.079734-0.76890.221941
3-0.483994-4.66755e-06
4-0.479357-4.62276e-06
5-0.116715-1.12560.131625
60.1619441.56170.060874
70.2767432.66880.004491
80.2681442.58590.005633
90.1596881.540.063481
10-0.042511-0.410.341389
11-0.159931-1.54230.063196
12-0.244093-2.3540.01034
13-0.063365-0.61110.271322
140.107521.03690.151239
150.1302521.25610.106112
160.0847930.81770.207805
17-0.055581-0.5360.296619
18-0.013539-0.13060.448201
19-0.0355-0.34230.366432
200.0278630.26870.394379
21-0.015628-0.15070.440266
22-0.044207-0.42630.335433
23-0.014479-0.13960.444626
24-0.029822-0.28760.38715
250.0327440.31580.37644
260.0454660.43850.331036
27-0.006611-0.06380.47465
28-0.108659-1.04790.148707
29-0.170999-1.64910.051256
30-0.188142-1.81440.036422
310.0615310.59340.277181
320.3092782.98260.001825
330.3478443.35450.000576
340.1490381.43730.076999
35-0.245588-2.36840.009968
36-0.42144-4.06425e-05
37-0.343166-3.30940.000666
380.042220.40720.342414
390.2784482.68530.004291
400.3230043.11490.001223
410.2073011.99910.024256
42-0.033098-0.31920.375149
43-0.19052-1.83730.034679
44-0.287416-2.77170.003367
45-0.185351-1.78750.03856
46-0.008225-0.07930.468476
470.1836871.77140.039883
480.2062941.98940.024796
490.1356611.30830.097003
50-0.039144-0.37750.353336
51-0.108269-1.04410.149572
52-0.083777-0.80790.2106
53-0.041065-0.3960.3465
540.0385490.37180.355461
550.0176770.17050.432503
56-0.01375-0.13260.4474
57-0.06922-0.66750.253044
58-0.077567-0.7480.228165
59-0.004739-0.04570.481825
600.0262870.25350.400219







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.4715054.5478e-06
2-0.388399-3.74560.000156
3-0.376556-3.63140.000231
4-0.118342-1.14130.128348
50.1062831.0250.154021
6-0.092036-0.88760.188532
7-0.011908-0.11480.454412
80.1840031.77450.03963
90.149881.44540.075855
10-0.07731-0.74550.228911
110.0515050.49670.310289
12-0.050655-0.48850.313172
130.1551611.49630.068978
14-0.027566-0.26580.395475
15-0.125709-1.21230.114235
160.0140080.13510.446418
17-0.028693-0.27670.39131
180.1224151.18050.120401
19-0.156481-1.5090.067339
200.119061.14820.126921
21-0.042023-0.40530.343109
22-0.034126-0.32910.371411
230.0149260.14390.442927
24-0.095296-0.9190.180236
250.111361.07390.142819
26-0.00409-0.03940.484313
27-0.154625-1.49120.069653
28-0.129042-1.24440.108233
29-0.120235-1.15950.12461
30-0.082376-0.79440.214491
310.1297291.25110.107025
320.2238022.15830.016741
330.1054971.01740.155807
34-0.026228-0.25290.400438
35-0.030229-0.29150.385653
36-0.095365-0.91970.180063
37-0.052498-0.50630.306932
380.1732621.67090.049054
39-0.141284-1.36250.088167
40-0.057589-0.55540.289987
410.0840370.81040.209883
42-0.025916-0.24990.401598
43-0.008549-0.08240.467235
44-0.013746-0.13260.447411
450.0851490.82110.206831
46-0.092839-0.89530.186467
47-0.050671-0.48860.31312
48-0.008972-0.08650.465617
490.0375490.36210.359047
500.0706180.6810.248778
51-0.012597-0.12150.451785
52-0.095128-0.91740.180658
530.0899510.86750.193962
54-0.037894-0.36540.357809
550.0056480.05450.478342
56-0.086967-0.83870.2019
57-0.061593-0.5940.276984
58-0.086318-0.83240.203653
59-0.02142-0.20660.418399
60-0.05282-0.50940.305846

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.471505 & 4.547 & 8e-06 \tabularnewline
2 & -0.388399 & -3.7456 & 0.000156 \tabularnewline
3 & -0.376556 & -3.6314 & 0.000231 \tabularnewline
4 & -0.118342 & -1.1413 & 0.128348 \tabularnewline
5 & 0.106283 & 1.025 & 0.154021 \tabularnewline
6 & -0.092036 & -0.8876 & 0.188532 \tabularnewline
7 & -0.011908 & -0.1148 & 0.454412 \tabularnewline
8 & 0.184003 & 1.7745 & 0.03963 \tabularnewline
9 & 0.14988 & 1.4454 & 0.075855 \tabularnewline
10 & -0.07731 & -0.7455 & 0.228911 \tabularnewline
11 & 0.051505 & 0.4967 & 0.310289 \tabularnewline
12 & -0.050655 & -0.4885 & 0.313172 \tabularnewline
13 & 0.155161 & 1.4963 & 0.068978 \tabularnewline
14 & -0.027566 & -0.2658 & 0.395475 \tabularnewline
15 & -0.125709 & -1.2123 & 0.114235 \tabularnewline
16 & 0.014008 & 0.1351 & 0.446418 \tabularnewline
17 & -0.028693 & -0.2767 & 0.39131 \tabularnewline
18 & 0.122415 & 1.1805 & 0.120401 \tabularnewline
19 & -0.156481 & -1.509 & 0.067339 \tabularnewline
20 & 0.11906 & 1.1482 & 0.126921 \tabularnewline
21 & -0.042023 & -0.4053 & 0.343109 \tabularnewline
22 & -0.034126 & -0.3291 & 0.371411 \tabularnewline
23 & 0.014926 & 0.1439 & 0.442927 \tabularnewline
24 & -0.095296 & -0.919 & 0.180236 \tabularnewline
25 & 0.11136 & 1.0739 & 0.142819 \tabularnewline
26 & -0.00409 & -0.0394 & 0.484313 \tabularnewline
27 & -0.154625 & -1.4912 & 0.069653 \tabularnewline
28 & -0.129042 & -1.2444 & 0.108233 \tabularnewline
29 & -0.120235 & -1.1595 & 0.12461 \tabularnewline
30 & -0.082376 & -0.7944 & 0.214491 \tabularnewline
31 & 0.129729 & 1.2511 & 0.107025 \tabularnewline
32 & 0.223802 & 2.1583 & 0.016741 \tabularnewline
33 & 0.105497 & 1.0174 & 0.155807 \tabularnewline
34 & -0.026228 & -0.2529 & 0.400438 \tabularnewline
35 & -0.030229 & -0.2915 & 0.385653 \tabularnewline
36 & -0.095365 & -0.9197 & 0.180063 \tabularnewline
37 & -0.052498 & -0.5063 & 0.306932 \tabularnewline
38 & 0.173262 & 1.6709 & 0.049054 \tabularnewline
39 & -0.141284 & -1.3625 & 0.088167 \tabularnewline
40 & -0.057589 & -0.5554 & 0.289987 \tabularnewline
41 & 0.084037 & 0.8104 & 0.209883 \tabularnewline
42 & -0.025916 & -0.2499 & 0.401598 \tabularnewline
43 & -0.008549 & -0.0824 & 0.467235 \tabularnewline
44 & -0.013746 & -0.1326 & 0.447411 \tabularnewline
45 & 0.085149 & 0.8211 & 0.206831 \tabularnewline
46 & -0.092839 & -0.8953 & 0.186467 \tabularnewline
47 & -0.050671 & -0.4886 & 0.31312 \tabularnewline
48 & -0.008972 & -0.0865 & 0.465617 \tabularnewline
49 & 0.037549 & 0.3621 & 0.359047 \tabularnewline
50 & 0.070618 & 0.681 & 0.248778 \tabularnewline
51 & -0.012597 & -0.1215 & 0.451785 \tabularnewline
52 & -0.095128 & -0.9174 & 0.180658 \tabularnewline
53 & 0.089951 & 0.8675 & 0.193962 \tabularnewline
54 & -0.037894 & -0.3654 & 0.357809 \tabularnewline
55 & 0.005648 & 0.0545 & 0.478342 \tabularnewline
56 & -0.086967 & -0.8387 & 0.2019 \tabularnewline
57 & -0.061593 & -0.594 & 0.276984 \tabularnewline
58 & -0.086318 & -0.8324 & 0.203653 \tabularnewline
59 & -0.02142 & -0.2066 & 0.418399 \tabularnewline
60 & -0.05282 & -0.5094 & 0.305846 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=30157&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]0.471505[/C][C]4.547[/C][C]8e-06[/C][/ROW]
[ROW][C]2[/C][C]-0.388399[/C][C]-3.7456[/C][C]0.000156[/C][/ROW]
[ROW][C]3[/C][C]-0.376556[/C][C]-3.6314[/C][C]0.000231[/C][/ROW]
[ROW][C]4[/C][C]-0.118342[/C][C]-1.1413[/C][C]0.128348[/C][/ROW]
[ROW][C]5[/C][C]0.106283[/C][C]1.025[/C][C]0.154021[/C][/ROW]
[ROW][C]6[/C][C]-0.092036[/C][C]-0.8876[/C][C]0.188532[/C][/ROW]
[ROW][C]7[/C][C]-0.011908[/C][C]-0.1148[/C][C]0.454412[/C][/ROW]
[ROW][C]8[/C][C]0.184003[/C][C]1.7745[/C][C]0.03963[/C][/ROW]
[ROW][C]9[/C][C]0.14988[/C][C]1.4454[/C][C]0.075855[/C][/ROW]
[ROW][C]10[/C][C]-0.07731[/C][C]-0.7455[/C][C]0.228911[/C][/ROW]
[ROW][C]11[/C][C]0.051505[/C][C]0.4967[/C][C]0.310289[/C][/ROW]
[ROW][C]12[/C][C]-0.050655[/C][C]-0.4885[/C][C]0.313172[/C][/ROW]
[ROW][C]13[/C][C]0.155161[/C][C]1.4963[/C][C]0.068978[/C][/ROW]
[ROW][C]14[/C][C]-0.027566[/C][C]-0.2658[/C][C]0.395475[/C][/ROW]
[ROW][C]15[/C][C]-0.125709[/C][C]-1.2123[/C][C]0.114235[/C][/ROW]
[ROW][C]16[/C][C]0.014008[/C][C]0.1351[/C][C]0.446418[/C][/ROW]
[ROW][C]17[/C][C]-0.028693[/C][C]-0.2767[/C][C]0.39131[/C][/ROW]
[ROW][C]18[/C][C]0.122415[/C][C]1.1805[/C][C]0.120401[/C][/ROW]
[ROW][C]19[/C][C]-0.156481[/C][C]-1.509[/C][C]0.067339[/C][/ROW]
[ROW][C]20[/C][C]0.11906[/C][C]1.1482[/C][C]0.126921[/C][/ROW]
[ROW][C]21[/C][C]-0.042023[/C][C]-0.4053[/C][C]0.343109[/C][/ROW]
[ROW][C]22[/C][C]-0.034126[/C][C]-0.3291[/C][C]0.371411[/C][/ROW]
[ROW][C]23[/C][C]0.014926[/C][C]0.1439[/C][C]0.442927[/C][/ROW]
[ROW][C]24[/C][C]-0.095296[/C][C]-0.919[/C][C]0.180236[/C][/ROW]
[ROW][C]25[/C][C]0.11136[/C][C]1.0739[/C][C]0.142819[/C][/ROW]
[ROW][C]26[/C][C]-0.00409[/C][C]-0.0394[/C][C]0.484313[/C][/ROW]
[ROW][C]27[/C][C]-0.154625[/C][C]-1.4912[/C][C]0.069653[/C][/ROW]
[ROW][C]28[/C][C]-0.129042[/C][C]-1.2444[/C][C]0.108233[/C][/ROW]
[ROW][C]29[/C][C]-0.120235[/C][C]-1.1595[/C][C]0.12461[/C][/ROW]
[ROW][C]30[/C][C]-0.082376[/C][C]-0.7944[/C][C]0.214491[/C][/ROW]
[ROW][C]31[/C][C]0.129729[/C][C]1.2511[/C][C]0.107025[/C][/ROW]
[ROW][C]32[/C][C]0.223802[/C][C]2.1583[/C][C]0.016741[/C][/ROW]
[ROW][C]33[/C][C]0.105497[/C][C]1.0174[/C][C]0.155807[/C][/ROW]
[ROW][C]34[/C][C]-0.026228[/C][C]-0.2529[/C][C]0.400438[/C][/ROW]
[ROW][C]35[/C][C]-0.030229[/C][C]-0.2915[/C][C]0.385653[/C][/ROW]
[ROW][C]36[/C][C]-0.095365[/C][C]-0.9197[/C][C]0.180063[/C][/ROW]
[ROW][C]37[/C][C]-0.052498[/C][C]-0.5063[/C][C]0.306932[/C][/ROW]
[ROW][C]38[/C][C]0.173262[/C][C]1.6709[/C][C]0.049054[/C][/ROW]
[ROW][C]39[/C][C]-0.141284[/C][C]-1.3625[/C][C]0.088167[/C][/ROW]
[ROW][C]40[/C][C]-0.057589[/C][C]-0.5554[/C][C]0.289987[/C][/ROW]
[ROW][C]41[/C][C]0.084037[/C][C]0.8104[/C][C]0.209883[/C][/ROW]
[ROW][C]42[/C][C]-0.025916[/C][C]-0.2499[/C][C]0.401598[/C][/ROW]
[ROW][C]43[/C][C]-0.008549[/C][C]-0.0824[/C][C]0.467235[/C][/ROW]
[ROW][C]44[/C][C]-0.013746[/C][C]-0.1326[/C][C]0.447411[/C][/ROW]
[ROW][C]45[/C][C]0.085149[/C][C]0.8211[/C][C]0.206831[/C][/ROW]
[ROW][C]46[/C][C]-0.092839[/C][C]-0.8953[/C][C]0.186467[/C][/ROW]
[ROW][C]47[/C][C]-0.050671[/C][C]-0.4886[/C][C]0.31312[/C][/ROW]
[ROW][C]48[/C][C]-0.008972[/C][C]-0.0865[/C][C]0.465617[/C][/ROW]
[ROW][C]49[/C][C]0.037549[/C][C]0.3621[/C][C]0.359047[/C][/ROW]
[ROW][C]50[/C][C]0.070618[/C][C]0.681[/C][C]0.248778[/C][/ROW]
[ROW][C]51[/C][C]-0.012597[/C][C]-0.1215[/C][C]0.451785[/C][/ROW]
[ROW][C]52[/C][C]-0.095128[/C][C]-0.9174[/C][C]0.180658[/C][/ROW]
[ROW][C]53[/C][C]0.089951[/C][C]0.8675[/C][C]0.193962[/C][/ROW]
[ROW][C]54[/C][C]-0.037894[/C][C]-0.3654[/C][C]0.357809[/C][/ROW]
[ROW][C]55[/C][C]0.005648[/C][C]0.0545[/C][C]0.478342[/C][/ROW]
[ROW][C]56[/C][C]-0.086967[/C][C]-0.8387[/C][C]0.2019[/C][/ROW]
[ROW][C]57[/C][C]-0.061593[/C][C]-0.594[/C][C]0.276984[/C][/ROW]
[ROW][C]58[/C][C]-0.086318[/C][C]-0.8324[/C][C]0.203653[/C][/ROW]
[ROW][C]59[/C][C]-0.02142[/C][C]-0.2066[/C][C]0.418399[/C][/ROW]
[ROW][C]60[/C][C]-0.05282[/C][C]-0.5094[/C][C]0.305846[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=30157&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=30157&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
10.4715054.5478e-06
2-0.388399-3.74560.000156
3-0.376556-3.63140.000231
4-0.118342-1.14130.128348
50.1062831.0250.154021
6-0.092036-0.88760.188532
7-0.011908-0.11480.454412
80.1840031.77450.03963
90.149881.44540.075855
10-0.07731-0.74550.228911
110.0515050.49670.310289
12-0.050655-0.48850.313172
130.1551611.49630.068978
14-0.027566-0.26580.395475
15-0.125709-1.21230.114235
160.0140080.13510.446418
17-0.028693-0.27670.39131
180.1224151.18050.120401
19-0.156481-1.5090.067339
200.119061.14820.126921
21-0.042023-0.40530.343109
22-0.034126-0.32910.371411
230.0149260.14390.442927
24-0.095296-0.9190.180236
250.111361.07390.142819
26-0.00409-0.03940.484313
27-0.154625-1.49120.069653
28-0.129042-1.24440.108233
29-0.120235-1.15950.12461
30-0.082376-0.79440.214491
310.1297291.25110.107025
320.2238022.15830.016741
330.1054971.01740.155807
34-0.026228-0.25290.400438
35-0.030229-0.29150.385653
36-0.095365-0.91970.180063
37-0.052498-0.50630.306932
380.1732621.67090.049054
39-0.141284-1.36250.088167
40-0.057589-0.55540.289987
410.0840370.81040.209883
42-0.025916-0.24990.401598
43-0.008549-0.08240.467235
44-0.013746-0.13260.447411
450.0851490.82110.206831
46-0.092839-0.89530.186467
47-0.050671-0.48860.31312
48-0.008972-0.08650.465617
490.0375490.36210.359047
500.0706180.6810.248778
51-0.012597-0.12150.451785
52-0.095128-0.91740.180658
530.0899510.86750.193962
54-0.037894-0.36540.357809
550.0056480.05450.478342
56-0.086967-0.83870.2019
57-0.061593-0.5940.276984
58-0.086318-0.83240.203653
59-0.02142-0.20660.418399
60-0.05282-0.50940.305846



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ;
R code (references can be found in the software module):
if (par1 == 'Default') {
par1 = 10*log10(length(x))
} else {
par1 <- as.numeric(par1)
}
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
par5 <- as.numeric(par5)
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='pic1.png')
racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
dev.off()
(myacf <- c(racf$acf))
(mypacf <- c(rpacf$acf))
lengthx <- length(x)
sqrtn <- sqrt(lengthx)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','ACF(k)','click here for more information about the Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 2:(par1+1)) {
a<-table.row.start(a)
a<-table.element(a,i-1,header=TRUE)
a<-table.element(a,round(myacf[i],6))
mytstat <- myacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Partial Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','PACF(k)','click here for more information about the Partial Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:par1) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,round(mypacf[i],6))
mytstat <- mypacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')