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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 computationSat, 19 Dec 2009 03:57:24 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Dec/19/t1261220335nmyz2f3sblwsau3.htm/, Retrieved Fri, 03 May 2024 23:52:01 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=69496, Retrieved Fri, 03 May 2024 23:52:01 +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)
F     [Variance Reduction Matrix] [Q2 VRM] [2008-12-07 13:38:56] [74be16979710d4c4e7c6647856088456]
F RMP   [(Partial) Autocorrelation Function] [Q2 ACF 00] [2008-12-07 13:48:21] [74be16979710d4c4e7c6647856088456]
- R  D    [(Partial) Autocorrelation Function] [ACF 00] [2008-12-18 16:04:09] [74be16979710d4c4e7c6647856088456]
- R P       [(Partial) Autocorrelation Function] [ACF 01] [2008-12-18 16:58:35] [74be16979710d4c4e7c6647856088456]
-  M            [(Partial) Autocorrelation Function] [Autocorrelation (...] [2009-12-19 10:57:24] [f066b5fba39549422fd1c7a1f2ce0075] [Current]
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Dataseries X:
897262
1133132
1384548
2324057
2502808
2516762
5579822
4945991
2019915
1830905
1251016
949902
923000
1215747
1479112
2371781
2521576
2350559
5673323
4414295
2016902
1958302
1284086
1186305
957833
1255719
1482709
2361136
2508100
2254488
5669953
4227480
2067790
1958419
1318158
1287921
1076982
1293669
1582053
2393005
2310531
2597899
5507587
4194133
2185092
2122018
1413348
1338342
1052655
1370046
1887027
2448017
2550796
2655837
5269499
4247405
2109722
2143145
1582013
1413221
1118520
1478655
2000108
2085234
2651805
2522176
5170142
4150129
2104254
2211398
1505900
1524305
1093144
1449647
1771197
2445932
2678945
2400737
4796880
4118001
2125714
2125515
1508760
1508765
1091075
1514814
1748997
2424406
2747942
2377332
5210706
3882821
2197469
2271155
1618917
1391579
1143249
1445785
1870242
2597788
2436231
2684184
4705109
4331347
2369192
2283947
1749607
1598601
1221234
1497778
1823567
2489908
2532837
2456065
4627018
4276894
2314950
2238987
1652753
1561968
1115878
1596714
1910242
2286450
2772441
2394538
4715128
4402420
2325392
2306683
1725282
1541370
1168142
1457835
1816380
2446552
2575774
2537852
4728097
4372685
2302672
2346402
1689915
1576183




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

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=69496&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=69496&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=69496&T=0

As an alternative you can also use a QR Code:  

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

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







Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.26229-3.01350.001549
20.1593331.83060.034708
30.0208420.23950.40556
4-0.079123-0.9090.18249
50.0372130.42750.33484
6-0.067499-0.77550.219715
7-0.06269-0.72030.236321
8-0.04091-0.470.319557
90.1188881.36590.087144
10-0.161582-1.85640.03281
110.2242512.57650.005541
12-0.204557-2.35020.010123
130.0757210.870.192947
140.0773510.88870.187891
150.0128580.14770.441392
16-0.090428-1.03890.150367
17-0.020892-0.240.405341
180.0496450.57040.284696
19-0.073309-0.84230.200583
20-0.073397-0.84330.200302
210.0562560.64630.259594
22-0.174173-2.00110.023717
230.2219892.55050.00595
24-0.021634-0.24860.402046
25-0.081178-0.93270.176349
26-0.008413-0.09670.461574
27-0.209505-2.4070.008733
280.0666680.7660.222536
29-0.089742-1.03110.152199
30-0.064081-0.73620.231446
31-0.089591-1.02930.152607
320.1348551.54940.061844
33-0.250644-2.87970.002323
340.1697481.95030.026633
35-0.002054-0.02360.490603
360.00870.10.460266
370.1397251.60530.055406
38-0.056835-0.6530.25745
390.0859080.9870.162721
40-0.078188-0.89830.185329
41-0.02749-0.31580.376314
42-0.057994-0.66630.253193
43-0.032622-0.37480.354204
440.0040110.04610.481655
450.0173270.19910.421255
460.0792640.91070.182063
470.0426750.49030.31237
480.0578120.66420.253858
490.0791860.90980.182298
50-0.119217-1.36970.086553
510.0739270.84940.198609
52-0.026444-0.30380.380873
530.0440990.50670.306618
540.0178630.20520.418854
550.0756160.86880.193279
56-0.088658-1.01860.155126
570.0521070.59870.275212
580.0274990.31590.376272
59-0.029244-0.3360.368707
600.1511051.73610.042443

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.26229 & -3.0135 & 0.001549 \tabularnewline
2 & 0.159333 & 1.8306 & 0.034708 \tabularnewline
3 & 0.020842 & 0.2395 & 0.40556 \tabularnewline
4 & -0.079123 & -0.909 & 0.18249 \tabularnewline
5 & 0.037213 & 0.4275 & 0.33484 \tabularnewline
6 & -0.067499 & -0.7755 & 0.219715 \tabularnewline
7 & -0.06269 & -0.7203 & 0.236321 \tabularnewline
8 & -0.04091 & -0.47 & 0.319557 \tabularnewline
9 & 0.118888 & 1.3659 & 0.087144 \tabularnewline
10 & -0.161582 & -1.8564 & 0.03281 \tabularnewline
11 & 0.224251 & 2.5765 & 0.005541 \tabularnewline
12 & -0.204557 & -2.3502 & 0.010123 \tabularnewline
13 & 0.075721 & 0.87 & 0.192947 \tabularnewline
14 & 0.077351 & 0.8887 & 0.187891 \tabularnewline
15 & 0.012858 & 0.1477 & 0.441392 \tabularnewline
16 & -0.090428 & -1.0389 & 0.150367 \tabularnewline
17 & -0.020892 & -0.24 & 0.405341 \tabularnewline
18 & 0.049645 & 0.5704 & 0.284696 \tabularnewline
19 & -0.073309 & -0.8423 & 0.200583 \tabularnewline
20 & -0.073397 & -0.8433 & 0.200302 \tabularnewline
21 & 0.056256 & 0.6463 & 0.259594 \tabularnewline
22 & -0.174173 & -2.0011 & 0.023717 \tabularnewline
23 & 0.221989 & 2.5505 & 0.00595 \tabularnewline
24 & -0.021634 & -0.2486 & 0.402046 \tabularnewline
25 & -0.081178 & -0.9327 & 0.176349 \tabularnewline
26 & -0.008413 & -0.0967 & 0.461574 \tabularnewline
27 & -0.209505 & -2.407 & 0.008733 \tabularnewline
28 & 0.066668 & 0.766 & 0.222536 \tabularnewline
29 & -0.089742 & -1.0311 & 0.152199 \tabularnewline
30 & -0.064081 & -0.7362 & 0.231446 \tabularnewline
31 & -0.089591 & -1.0293 & 0.152607 \tabularnewline
32 & 0.134855 & 1.5494 & 0.061844 \tabularnewline
33 & -0.250644 & -2.8797 & 0.002323 \tabularnewline
34 & 0.169748 & 1.9503 & 0.026633 \tabularnewline
35 & -0.002054 & -0.0236 & 0.490603 \tabularnewline
36 & 0.0087 & 0.1 & 0.460266 \tabularnewline
37 & 0.139725 & 1.6053 & 0.055406 \tabularnewline
38 & -0.056835 & -0.653 & 0.25745 \tabularnewline
39 & 0.085908 & 0.987 & 0.162721 \tabularnewline
40 & -0.078188 & -0.8983 & 0.185329 \tabularnewline
41 & -0.02749 & -0.3158 & 0.376314 \tabularnewline
42 & -0.057994 & -0.6663 & 0.253193 \tabularnewline
43 & -0.032622 & -0.3748 & 0.354204 \tabularnewline
44 & 0.004011 & 0.0461 & 0.481655 \tabularnewline
45 & 0.017327 & 0.1991 & 0.421255 \tabularnewline
46 & 0.079264 & 0.9107 & 0.182063 \tabularnewline
47 & 0.042675 & 0.4903 & 0.31237 \tabularnewline
48 & 0.057812 & 0.6642 & 0.253858 \tabularnewline
49 & 0.079186 & 0.9098 & 0.182298 \tabularnewline
50 & -0.119217 & -1.3697 & 0.086553 \tabularnewline
51 & 0.073927 & 0.8494 & 0.198609 \tabularnewline
52 & -0.026444 & -0.3038 & 0.380873 \tabularnewline
53 & 0.044099 & 0.5067 & 0.306618 \tabularnewline
54 & 0.017863 & 0.2052 & 0.418854 \tabularnewline
55 & 0.075616 & 0.8688 & 0.193279 \tabularnewline
56 & -0.088658 & -1.0186 & 0.155126 \tabularnewline
57 & 0.052107 & 0.5987 & 0.275212 \tabularnewline
58 & 0.027499 & 0.3159 & 0.376272 \tabularnewline
59 & -0.029244 & -0.336 & 0.368707 \tabularnewline
60 & 0.151105 & 1.7361 & 0.042443 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=69496&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]-0.26229[/C][C]-3.0135[/C][C]0.001549[/C][/ROW]
[ROW][C]2[/C][C]0.159333[/C][C]1.8306[/C][C]0.034708[/C][/ROW]
[ROW][C]3[/C][C]0.020842[/C][C]0.2395[/C][C]0.40556[/C][/ROW]
[ROW][C]4[/C][C]-0.079123[/C][C]-0.909[/C][C]0.18249[/C][/ROW]
[ROW][C]5[/C][C]0.037213[/C][C]0.4275[/C][C]0.33484[/C][/ROW]
[ROW][C]6[/C][C]-0.067499[/C][C]-0.7755[/C][C]0.219715[/C][/ROW]
[ROW][C]7[/C][C]-0.06269[/C][C]-0.7203[/C][C]0.236321[/C][/ROW]
[ROW][C]8[/C][C]-0.04091[/C][C]-0.47[/C][C]0.319557[/C][/ROW]
[ROW][C]9[/C][C]0.118888[/C][C]1.3659[/C][C]0.087144[/C][/ROW]
[ROW][C]10[/C][C]-0.161582[/C][C]-1.8564[/C][C]0.03281[/C][/ROW]
[ROW][C]11[/C][C]0.224251[/C][C]2.5765[/C][C]0.005541[/C][/ROW]
[ROW][C]12[/C][C]-0.204557[/C][C]-2.3502[/C][C]0.010123[/C][/ROW]
[ROW][C]13[/C][C]0.075721[/C][C]0.87[/C][C]0.192947[/C][/ROW]
[ROW][C]14[/C][C]0.077351[/C][C]0.8887[/C][C]0.187891[/C][/ROW]
[ROW][C]15[/C][C]0.012858[/C][C]0.1477[/C][C]0.441392[/C][/ROW]
[ROW][C]16[/C][C]-0.090428[/C][C]-1.0389[/C][C]0.150367[/C][/ROW]
[ROW][C]17[/C][C]-0.020892[/C][C]-0.24[/C][C]0.405341[/C][/ROW]
[ROW][C]18[/C][C]0.049645[/C][C]0.5704[/C][C]0.284696[/C][/ROW]
[ROW][C]19[/C][C]-0.073309[/C][C]-0.8423[/C][C]0.200583[/C][/ROW]
[ROW][C]20[/C][C]-0.073397[/C][C]-0.8433[/C][C]0.200302[/C][/ROW]
[ROW][C]21[/C][C]0.056256[/C][C]0.6463[/C][C]0.259594[/C][/ROW]
[ROW][C]22[/C][C]-0.174173[/C][C]-2.0011[/C][C]0.023717[/C][/ROW]
[ROW][C]23[/C][C]0.221989[/C][C]2.5505[/C][C]0.00595[/C][/ROW]
[ROW][C]24[/C][C]-0.021634[/C][C]-0.2486[/C][C]0.402046[/C][/ROW]
[ROW][C]25[/C][C]-0.081178[/C][C]-0.9327[/C][C]0.176349[/C][/ROW]
[ROW][C]26[/C][C]-0.008413[/C][C]-0.0967[/C][C]0.461574[/C][/ROW]
[ROW][C]27[/C][C]-0.209505[/C][C]-2.407[/C][C]0.008733[/C][/ROW]
[ROW][C]28[/C][C]0.066668[/C][C]0.766[/C][C]0.222536[/C][/ROW]
[ROW][C]29[/C][C]-0.089742[/C][C]-1.0311[/C][C]0.152199[/C][/ROW]
[ROW][C]30[/C][C]-0.064081[/C][C]-0.7362[/C][C]0.231446[/C][/ROW]
[ROW][C]31[/C][C]-0.089591[/C][C]-1.0293[/C][C]0.152607[/C][/ROW]
[ROW][C]32[/C][C]0.134855[/C][C]1.5494[/C][C]0.061844[/C][/ROW]
[ROW][C]33[/C][C]-0.250644[/C][C]-2.8797[/C][C]0.002323[/C][/ROW]
[ROW][C]34[/C][C]0.169748[/C][C]1.9503[/C][C]0.026633[/C][/ROW]
[ROW][C]35[/C][C]-0.002054[/C][C]-0.0236[/C][C]0.490603[/C][/ROW]
[ROW][C]36[/C][C]0.0087[/C][C]0.1[/C][C]0.460266[/C][/ROW]
[ROW][C]37[/C][C]0.139725[/C][C]1.6053[/C][C]0.055406[/C][/ROW]
[ROW][C]38[/C][C]-0.056835[/C][C]-0.653[/C][C]0.25745[/C][/ROW]
[ROW][C]39[/C][C]0.085908[/C][C]0.987[/C][C]0.162721[/C][/ROW]
[ROW][C]40[/C][C]-0.078188[/C][C]-0.8983[/C][C]0.185329[/C][/ROW]
[ROW][C]41[/C][C]-0.02749[/C][C]-0.3158[/C][C]0.376314[/C][/ROW]
[ROW][C]42[/C][C]-0.057994[/C][C]-0.6663[/C][C]0.253193[/C][/ROW]
[ROW][C]43[/C][C]-0.032622[/C][C]-0.3748[/C][C]0.354204[/C][/ROW]
[ROW][C]44[/C][C]0.004011[/C][C]0.0461[/C][C]0.481655[/C][/ROW]
[ROW][C]45[/C][C]0.017327[/C][C]0.1991[/C][C]0.421255[/C][/ROW]
[ROW][C]46[/C][C]0.079264[/C][C]0.9107[/C][C]0.182063[/C][/ROW]
[ROW][C]47[/C][C]0.042675[/C][C]0.4903[/C][C]0.31237[/C][/ROW]
[ROW][C]48[/C][C]0.057812[/C][C]0.6642[/C][C]0.253858[/C][/ROW]
[ROW][C]49[/C][C]0.079186[/C][C]0.9098[/C][C]0.182298[/C][/ROW]
[ROW][C]50[/C][C]-0.119217[/C][C]-1.3697[/C][C]0.086553[/C][/ROW]
[ROW][C]51[/C][C]0.073927[/C][C]0.8494[/C][C]0.198609[/C][/ROW]
[ROW][C]52[/C][C]-0.026444[/C][C]-0.3038[/C][C]0.380873[/C][/ROW]
[ROW][C]53[/C][C]0.044099[/C][C]0.5067[/C][C]0.306618[/C][/ROW]
[ROW][C]54[/C][C]0.017863[/C][C]0.2052[/C][C]0.418854[/C][/ROW]
[ROW][C]55[/C][C]0.075616[/C][C]0.8688[/C][C]0.193279[/C][/ROW]
[ROW][C]56[/C][C]-0.088658[/C][C]-1.0186[/C][C]0.155126[/C][/ROW]
[ROW][C]57[/C][C]0.052107[/C][C]0.5987[/C][C]0.275212[/C][/ROW]
[ROW][C]58[/C][C]0.027499[/C][C]0.3159[/C][C]0.376272[/C][/ROW]
[ROW][C]59[/C][C]-0.029244[/C][C]-0.336[/C][C]0.368707[/C][/ROW]
[ROW][C]60[/C][C]0.151105[/C][C]1.7361[/C][C]0.042443[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=69496&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=69496&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
1-0.26229-3.01350.001549
20.1593331.83060.034708
30.0208420.23950.40556
4-0.079123-0.9090.18249
50.0372130.42750.33484
6-0.067499-0.77550.219715
7-0.06269-0.72030.236321
8-0.04091-0.470.319557
90.1188881.36590.087144
10-0.161582-1.85640.03281
110.2242512.57650.005541
12-0.204557-2.35020.010123
130.0757210.870.192947
140.0773510.88870.187891
150.0128580.14770.441392
16-0.090428-1.03890.150367
17-0.020892-0.240.405341
180.0496450.57040.284696
19-0.073309-0.84230.200583
20-0.073397-0.84330.200302
210.0562560.64630.259594
22-0.174173-2.00110.023717
230.2219892.55050.00595
24-0.021634-0.24860.402046
25-0.081178-0.93270.176349
26-0.008413-0.09670.461574
27-0.209505-2.4070.008733
280.0666680.7660.222536
29-0.089742-1.03110.152199
30-0.064081-0.73620.231446
31-0.089591-1.02930.152607
320.1348551.54940.061844
33-0.250644-2.87970.002323
340.1697481.95030.026633
35-0.002054-0.02360.490603
360.00870.10.460266
370.1397251.60530.055406
38-0.056835-0.6530.25745
390.0859080.9870.162721
40-0.078188-0.89830.185329
41-0.02749-0.31580.376314
42-0.057994-0.66630.253193
43-0.032622-0.37480.354204
440.0040110.04610.481655
450.0173270.19910.421255
460.0792640.91070.182063
470.0426750.49030.31237
480.0578120.66420.253858
490.0791860.90980.182298
50-0.119217-1.36970.086553
510.0739270.84940.198609
52-0.026444-0.30380.380873
530.0440990.50670.306618
540.0178630.20520.418854
550.0756160.86880.193279
56-0.088658-1.01860.155126
570.0521070.59870.275212
580.0274990.31590.376272
59-0.029244-0.3360.368707
600.1511051.73610.042443







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.26229-3.01350.001549
20.0972261.1170.133003
30.0911451.04720.148467
4-0.07546-0.8670.193765
5-0.017266-0.19840.421531
6-0.045932-0.52770.299292
7-0.091946-1.05640.146361
8-0.076502-0.87890.190515
90.1355591.55750.060878
10-0.099823-1.14690.126752
110.1379711.58520.057661
12-0.12588-1.44630.075238
13-0.023347-0.26820.394468
140.0929021.06740.143879
150.1111.27530.102222
16-0.147578-1.69550.046165
17-0.081729-0.9390.174724
180.0715810.82240.206166
19-0.0112-0.12870.448906
20-0.204242-2.34660.010218
210.1402371.61120.054762
22-0.204023-2.3440.010284
230.2044992.34950.010141
240.0425120.48840.313031
25-0.119756-1.37590.085592
26-0.182389-2.09550.019019
27-0.164843-1.89390.030213
28-0.036952-0.42450.335928
29-0.066305-0.76180.223772
30-0.055409-0.63660.262742
31-0.052642-0.60480.27317
32-0.107395-1.23390.109722
33-0.180857-2.07790.019828
34-0.048239-0.55420.290184
350.1288391.48020.070595
360.0696970.80080.212354
370.0009380.01080.495709
38-0.060254-0.69230.244993
39-0.028001-0.32170.374091
400.0226760.26050.397429
41-0.101549-1.16670.122716
42-0.079431-0.91260.181559
43-0.109565-1.25880.105162
440.0988221.13540.129137
450.0189120.21730.414163
46-0.02628-0.30190.381587
47-0.014842-0.17050.43243
480.068710.78940.215641
490.0268280.30820.379198
50-0.145045-1.66640.048999
510.0319590.36720.357034
52-0.001705-0.01960.492202
53-0.07024-0.8070.210561
540.0884741.01650.155628
550.011670.13410.446773
56-0.016424-0.18870.425309
57-0.03259-0.37440.354344
58-0.075248-0.86450.194433
59-0.062734-0.72080.236168
600.049150.56470.286622

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.26229 & -3.0135 & 0.001549 \tabularnewline
2 & 0.097226 & 1.117 & 0.133003 \tabularnewline
3 & 0.091145 & 1.0472 & 0.148467 \tabularnewline
4 & -0.07546 & -0.867 & 0.193765 \tabularnewline
5 & -0.017266 & -0.1984 & 0.421531 \tabularnewline
6 & -0.045932 & -0.5277 & 0.299292 \tabularnewline
7 & -0.091946 & -1.0564 & 0.146361 \tabularnewline
8 & -0.076502 & -0.8789 & 0.190515 \tabularnewline
9 & 0.135559 & 1.5575 & 0.060878 \tabularnewline
10 & -0.099823 & -1.1469 & 0.126752 \tabularnewline
11 & 0.137971 & 1.5852 & 0.057661 \tabularnewline
12 & -0.12588 & -1.4463 & 0.075238 \tabularnewline
13 & -0.023347 & -0.2682 & 0.394468 \tabularnewline
14 & 0.092902 & 1.0674 & 0.143879 \tabularnewline
15 & 0.111 & 1.2753 & 0.102222 \tabularnewline
16 & -0.147578 & -1.6955 & 0.046165 \tabularnewline
17 & -0.081729 & -0.939 & 0.174724 \tabularnewline
18 & 0.071581 & 0.8224 & 0.206166 \tabularnewline
19 & -0.0112 & -0.1287 & 0.448906 \tabularnewline
20 & -0.204242 & -2.3466 & 0.010218 \tabularnewline
21 & 0.140237 & 1.6112 & 0.054762 \tabularnewline
22 & -0.204023 & -2.344 & 0.010284 \tabularnewline
23 & 0.204499 & 2.3495 & 0.010141 \tabularnewline
24 & 0.042512 & 0.4884 & 0.313031 \tabularnewline
25 & -0.119756 & -1.3759 & 0.085592 \tabularnewline
26 & -0.182389 & -2.0955 & 0.019019 \tabularnewline
27 & -0.164843 & -1.8939 & 0.030213 \tabularnewline
28 & -0.036952 & -0.4245 & 0.335928 \tabularnewline
29 & -0.066305 & -0.7618 & 0.223772 \tabularnewline
30 & -0.055409 & -0.6366 & 0.262742 \tabularnewline
31 & -0.052642 & -0.6048 & 0.27317 \tabularnewline
32 & -0.107395 & -1.2339 & 0.109722 \tabularnewline
33 & -0.180857 & -2.0779 & 0.019828 \tabularnewline
34 & -0.048239 & -0.5542 & 0.290184 \tabularnewline
35 & 0.128839 & 1.4802 & 0.070595 \tabularnewline
36 & 0.069697 & 0.8008 & 0.212354 \tabularnewline
37 & 0.000938 & 0.0108 & 0.495709 \tabularnewline
38 & -0.060254 & -0.6923 & 0.244993 \tabularnewline
39 & -0.028001 & -0.3217 & 0.374091 \tabularnewline
40 & 0.022676 & 0.2605 & 0.397429 \tabularnewline
41 & -0.101549 & -1.1667 & 0.122716 \tabularnewline
42 & -0.079431 & -0.9126 & 0.181559 \tabularnewline
43 & -0.109565 & -1.2588 & 0.105162 \tabularnewline
44 & 0.098822 & 1.1354 & 0.129137 \tabularnewline
45 & 0.018912 & 0.2173 & 0.414163 \tabularnewline
46 & -0.02628 & -0.3019 & 0.381587 \tabularnewline
47 & -0.014842 & -0.1705 & 0.43243 \tabularnewline
48 & 0.06871 & 0.7894 & 0.215641 \tabularnewline
49 & 0.026828 & 0.3082 & 0.379198 \tabularnewline
50 & -0.145045 & -1.6664 & 0.048999 \tabularnewline
51 & 0.031959 & 0.3672 & 0.357034 \tabularnewline
52 & -0.001705 & -0.0196 & 0.492202 \tabularnewline
53 & -0.07024 & -0.807 & 0.210561 \tabularnewline
54 & 0.088474 & 1.0165 & 0.155628 \tabularnewline
55 & 0.01167 & 0.1341 & 0.446773 \tabularnewline
56 & -0.016424 & -0.1887 & 0.425309 \tabularnewline
57 & -0.03259 & -0.3744 & 0.354344 \tabularnewline
58 & -0.075248 & -0.8645 & 0.194433 \tabularnewline
59 & -0.062734 & -0.7208 & 0.236168 \tabularnewline
60 & 0.04915 & 0.5647 & 0.286622 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=69496&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]-0.26229[/C][C]-3.0135[/C][C]0.001549[/C][/ROW]
[ROW][C]2[/C][C]0.097226[/C][C]1.117[/C][C]0.133003[/C][/ROW]
[ROW][C]3[/C][C]0.091145[/C][C]1.0472[/C][C]0.148467[/C][/ROW]
[ROW][C]4[/C][C]-0.07546[/C][C]-0.867[/C][C]0.193765[/C][/ROW]
[ROW][C]5[/C][C]-0.017266[/C][C]-0.1984[/C][C]0.421531[/C][/ROW]
[ROW][C]6[/C][C]-0.045932[/C][C]-0.5277[/C][C]0.299292[/C][/ROW]
[ROW][C]7[/C][C]-0.091946[/C][C]-1.0564[/C][C]0.146361[/C][/ROW]
[ROW][C]8[/C][C]-0.076502[/C][C]-0.8789[/C][C]0.190515[/C][/ROW]
[ROW][C]9[/C][C]0.135559[/C][C]1.5575[/C][C]0.060878[/C][/ROW]
[ROW][C]10[/C][C]-0.099823[/C][C]-1.1469[/C][C]0.126752[/C][/ROW]
[ROW][C]11[/C][C]0.137971[/C][C]1.5852[/C][C]0.057661[/C][/ROW]
[ROW][C]12[/C][C]-0.12588[/C][C]-1.4463[/C][C]0.075238[/C][/ROW]
[ROW][C]13[/C][C]-0.023347[/C][C]-0.2682[/C][C]0.394468[/C][/ROW]
[ROW][C]14[/C][C]0.092902[/C][C]1.0674[/C][C]0.143879[/C][/ROW]
[ROW][C]15[/C][C]0.111[/C][C]1.2753[/C][C]0.102222[/C][/ROW]
[ROW][C]16[/C][C]-0.147578[/C][C]-1.6955[/C][C]0.046165[/C][/ROW]
[ROW][C]17[/C][C]-0.081729[/C][C]-0.939[/C][C]0.174724[/C][/ROW]
[ROW][C]18[/C][C]0.071581[/C][C]0.8224[/C][C]0.206166[/C][/ROW]
[ROW][C]19[/C][C]-0.0112[/C][C]-0.1287[/C][C]0.448906[/C][/ROW]
[ROW][C]20[/C][C]-0.204242[/C][C]-2.3466[/C][C]0.010218[/C][/ROW]
[ROW][C]21[/C][C]0.140237[/C][C]1.6112[/C][C]0.054762[/C][/ROW]
[ROW][C]22[/C][C]-0.204023[/C][C]-2.344[/C][C]0.010284[/C][/ROW]
[ROW][C]23[/C][C]0.204499[/C][C]2.3495[/C][C]0.010141[/C][/ROW]
[ROW][C]24[/C][C]0.042512[/C][C]0.4884[/C][C]0.313031[/C][/ROW]
[ROW][C]25[/C][C]-0.119756[/C][C]-1.3759[/C][C]0.085592[/C][/ROW]
[ROW][C]26[/C][C]-0.182389[/C][C]-2.0955[/C][C]0.019019[/C][/ROW]
[ROW][C]27[/C][C]-0.164843[/C][C]-1.8939[/C][C]0.030213[/C][/ROW]
[ROW][C]28[/C][C]-0.036952[/C][C]-0.4245[/C][C]0.335928[/C][/ROW]
[ROW][C]29[/C][C]-0.066305[/C][C]-0.7618[/C][C]0.223772[/C][/ROW]
[ROW][C]30[/C][C]-0.055409[/C][C]-0.6366[/C][C]0.262742[/C][/ROW]
[ROW][C]31[/C][C]-0.052642[/C][C]-0.6048[/C][C]0.27317[/C][/ROW]
[ROW][C]32[/C][C]-0.107395[/C][C]-1.2339[/C][C]0.109722[/C][/ROW]
[ROW][C]33[/C][C]-0.180857[/C][C]-2.0779[/C][C]0.019828[/C][/ROW]
[ROW][C]34[/C][C]-0.048239[/C][C]-0.5542[/C][C]0.290184[/C][/ROW]
[ROW][C]35[/C][C]0.128839[/C][C]1.4802[/C][C]0.070595[/C][/ROW]
[ROW][C]36[/C][C]0.069697[/C][C]0.8008[/C][C]0.212354[/C][/ROW]
[ROW][C]37[/C][C]0.000938[/C][C]0.0108[/C][C]0.495709[/C][/ROW]
[ROW][C]38[/C][C]-0.060254[/C][C]-0.6923[/C][C]0.244993[/C][/ROW]
[ROW][C]39[/C][C]-0.028001[/C][C]-0.3217[/C][C]0.374091[/C][/ROW]
[ROW][C]40[/C][C]0.022676[/C][C]0.2605[/C][C]0.397429[/C][/ROW]
[ROW][C]41[/C][C]-0.101549[/C][C]-1.1667[/C][C]0.122716[/C][/ROW]
[ROW][C]42[/C][C]-0.079431[/C][C]-0.9126[/C][C]0.181559[/C][/ROW]
[ROW][C]43[/C][C]-0.109565[/C][C]-1.2588[/C][C]0.105162[/C][/ROW]
[ROW][C]44[/C][C]0.098822[/C][C]1.1354[/C][C]0.129137[/C][/ROW]
[ROW][C]45[/C][C]0.018912[/C][C]0.2173[/C][C]0.414163[/C][/ROW]
[ROW][C]46[/C][C]-0.02628[/C][C]-0.3019[/C][C]0.381587[/C][/ROW]
[ROW][C]47[/C][C]-0.014842[/C][C]-0.1705[/C][C]0.43243[/C][/ROW]
[ROW][C]48[/C][C]0.06871[/C][C]0.7894[/C][C]0.215641[/C][/ROW]
[ROW][C]49[/C][C]0.026828[/C][C]0.3082[/C][C]0.379198[/C][/ROW]
[ROW][C]50[/C][C]-0.145045[/C][C]-1.6664[/C][C]0.048999[/C][/ROW]
[ROW][C]51[/C][C]0.031959[/C][C]0.3672[/C][C]0.357034[/C][/ROW]
[ROW][C]52[/C][C]-0.001705[/C][C]-0.0196[/C][C]0.492202[/C][/ROW]
[ROW][C]53[/C][C]-0.07024[/C][C]-0.807[/C][C]0.210561[/C][/ROW]
[ROW][C]54[/C][C]0.088474[/C][C]1.0165[/C][C]0.155628[/C][/ROW]
[ROW][C]55[/C][C]0.01167[/C][C]0.1341[/C][C]0.446773[/C][/ROW]
[ROW][C]56[/C][C]-0.016424[/C][C]-0.1887[/C][C]0.425309[/C][/ROW]
[ROW][C]57[/C][C]-0.03259[/C][C]-0.3744[/C][C]0.354344[/C][/ROW]
[ROW][C]58[/C][C]-0.075248[/C][C]-0.8645[/C][C]0.194433[/C][/ROW]
[ROW][C]59[/C][C]-0.062734[/C][C]-0.7208[/C][C]0.236168[/C][/ROW]
[ROW][C]60[/C][C]0.04915[/C][C]0.5647[/C][C]0.286622[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=69496&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=69496&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
1-0.26229-3.01350.001549
20.0972261.1170.133003
30.0911451.04720.148467
4-0.07546-0.8670.193765
5-0.017266-0.19840.421531
6-0.045932-0.52770.299292
7-0.091946-1.05640.146361
8-0.076502-0.87890.190515
90.1355591.55750.060878
10-0.099823-1.14690.126752
110.1379711.58520.057661
12-0.12588-1.44630.075238
13-0.023347-0.26820.394468
140.0929021.06740.143879
150.1111.27530.102222
16-0.147578-1.69550.046165
17-0.081729-0.9390.174724
180.0715810.82240.206166
19-0.0112-0.12870.448906
20-0.204242-2.34660.010218
210.1402371.61120.054762
22-0.204023-2.3440.010284
230.2044992.34950.010141
240.0425120.48840.313031
25-0.119756-1.37590.085592
26-0.182389-2.09550.019019
27-0.164843-1.89390.030213
28-0.036952-0.42450.335928
29-0.066305-0.76180.223772
30-0.055409-0.63660.262742
31-0.052642-0.60480.27317
32-0.107395-1.23390.109722
33-0.180857-2.07790.019828
34-0.048239-0.55420.290184
350.1288391.48020.070595
360.0696970.80080.212354
370.0009380.01080.495709
38-0.060254-0.69230.244993
39-0.028001-0.32170.374091
400.0226760.26050.397429
41-0.101549-1.16670.122716
42-0.079431-0.91260.181559
43-0.109565-1.25880.105162
440.0988221.13540.129137
450.0189120.21730.414163
46-0.02628-0.30190.381587
47-0.014842-0.17050.43243
480.068710.78940.215641
490.0268280.30820.379198
50-0.145045-1.66640.048999
510.0319590.36720.357034
52-0.001705-0.01960.492202
53-0.07024-0.8070.210561
540.0884741.01650.155628
550.011670.13410.446773
56-0.016424-0.18870.425309
57-0.03259-0.37440.354344
58-0.075248-0.86450.194433
59-0.062734-0.72080.236168
600.049150.56470.286622



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 1 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 1 ; par5 = 12 ; par6 = ; par7 = ; par8 = ; par9 = ; par10 = ; par11 = ; par12 = ; par13 = ; par14 = ; par15 = ; par16 = ; par17 = ; par18 = ; par19 = ; par20 = ;
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')