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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationSat, 06 Dec 2008 15:30:59 -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/06/t1228602704qdo75bpwosou9w6.htm/, Retrieved Sun, 19 May 2024 10:04:33 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=29819, Retrieved Sun, 19 May 2024 10:04:33 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact189
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [(Partial) Autocorrelation Function] ["inschrijving nie...] [2008-12-06 22:13:49] [56af8e1adaf22d814639222931271d81]
-    D  [(Partial) Autocorrelation Function] ["invoer buitenlan...] [2008-12-06 22:28:07] [56af8e1adaf22d814639222931271d81]
-   PD      [(Partial) Autocorrelation Function] [autocorr invoer m...] [2008-12-06 22:30:59] [cd990bb7dd50d289d8ca88511d54b252] [Current]
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Dataseries X:
11.9
13.6
15.2
12.5
14.9
13.7
12.5
13.1
14.5
15.2
16.1
14.8
15.1
14.8
16.1
14.3
15.2
14.9
13.1
12.6
13.6
14.4
14
12.9
13.4
13.5
14.8
14.3
14.3
14
13.2
12.2
14.3
15.7
14.2
14.6
14.5
14.3
15.3
14.4
13.7
14.2
13.5
11.9
14.6
15.6
14.1
14.9
14.2
14.6
17.2
15.4
14.3
17.5
14.5
14.4
16.6
16.7
16.6
16.9
15.7
16.4
18.4
16.9
16.5
18.3
15.1
15.7
18.1
16.8
18.9
19
18.1
17.8
21.5
17.1
18.7
19
16.4
16.9
18.6
19.3
19.4
17.6
18.6
18.1
20.4
18.1
19.6
19.9
19.2
17.8
19.2
22.1
21.2
19.5




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=29819&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=29819&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=29819&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
1-0.379037-3.69440.000184
2-0.240107-2.34030.010681
30.2485482.42250.008654
4-0.126739-1.23530.109883
5-0.13488-1.31470.095896
60.3145463.06580.001413
7-0.193021-1.88130.031494
8-0.024543-0.23920.405726
90.2311722.25320.013274
10-0.320178-3.12070.001195
11-0.151408-1.47570.07166
120.6181146.02460
13-0.262767-2.56110.006004
14-0.122441-1.19340.117841
150.1221421.19050.11841
16-0.139198-1.35670.08904
17-0.00182-0.01770.492944
180.1690581.64780.051351
19-0.133409-1.30030.09832
200.0229140.22330.411878
210.1405181.36960.08702
22-0.320957-3.12830.001167
230.08120.79140.215329
240.2978872.90340.002295
25-0.111292-1.08470.140392
26-0.064499-0.62870.26554
270.0031630.03080.487736
28-0.074969-0.73070.233377
290.0607120.59170.277712
300.0033760.03290.486908
31-0.030763-0.29980.382477
320.0608980.59360.277108
330.008180.07970.468311
34-0.18389-1.79230.038131
350.0276860.26980.393931
360.2024331.97310.025697
370.0174710.17030.432573
38-0.132705-1.29340.099496
39-0.016679-0.16260.435602
400.0134960.13150.447811
410.0172180.16780.433543
42-0.031066-0.30280.381354
430.0350990.34210.366513
440.0315480.30750.379572
45-0.031099-0.30310.381233
46-0.036202-0.35290.362491
47-0.103913-1.01280.15686
480.197731.92720.028469

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.379037 & -3.6944 & 0.000184 \tabularnewline
2 & -0.240107 & -2.3403 & 0.010681 \tabularnewline
3 & 0.248548 & 2.4225 & 0.008654 \tabularnewline
4 & -0.126739 & -1.2353 & 0.109883 \tabularnewline
5 & -0.13488 & -1.3147 & 0.095896 \tabularnewline
6 & 0.314546 & 3.0658 & 0.001413 \tabularnewline
7 & -0.193021 & -1.8813 & 0.031494 \tabularnewline
8 & -0.024543 & -0.2392 & 0.405726 \tabularnewline
9 & 0.231172 & 2.2532 & 0.013274 \tabularnewline
10 & -0.320178 & -3.1207 & 0.001195 \tabularnewline
11 & -0.151408 & -1.4757 & 0.07166 \tabularnewline
12 & 0.618114 & 6.0246 & 0 \tabularnewline
13 & -0.262767 & -2.5611 & 0.006004 \tabularnewline
14 & -0.122441 & -1.1934 & 0.117841 \tabularnewline
15 & 0.122142 & 1.1905 & 0.11841 \tabularnewline
16 & -0.139198 & -1.3567 & 0.08904 \tabularnewline
17 & -0.00182 & -0.0177 & 0.492944 \tabularnewline
18 & 0.169058 & 1.6478 & 0.051351 \tabularnewline
19 & -0.133409 & -1.3003 & 0.09832 \tabularnewline
20 & 0.022914 & 0.2233 & 0.411878 \tabularnewline
21 & 0.140518 & 1.3696 & 0.08702 \tabularnewline
22 & -0.320957 & -3.1283 & 0.001167 \tabularnewline
23 & 0.0812 & 0.7914 & 0.215329 \tabularnewline
24 & 0.297887 & 2.9034 & 0.002295 \tabularnewline
25 & -0.111292 & -1.0847 & 0.140392 \tabularnewline
26 & -0.064499 & -0.6287 & 0.26554 \tabularnewline
27 & 0.003163 & 0.0308 & 0.487736 \tabularnewline
28 & -0.074969 & -0.7307 & 0.233377 \tabularnewline
29 & 0.060712 & 0.5917 & 0.277712 \tabularnewline
30 & 0.003376 & 0.0329 & 0.486908 \tabularnewline
31 & -0.030763 & -0.2998 & 0.382477 \tabularnewline
32 & 0.060898 & 0.5936 & 0.277108 \tabularnewline
33 & 0.00818 & 0.0797 & 0.468311 \tabularnewline
34 & -0.18389 & -1.7923 & 0.038131 \tabularnewline
35 & 0.027686 & 0.2698 & 0.393931 \tabularnewline
36 & 0.202433 & 1.9731 & 0.025697 \tabularnewline
37 & 0.017471 & 0.1703 & 0.432573 \tabularnewline
38 & -0.132705 & -1.2934 & 0.099496 \tabularnewline
39 & -0.016679 & -0.1626 & 0.435602 \tabularnewline
40 & 0.013496 & 0.1315 & 0.447811 \tabularnewline
41 & 0.017218 & 0.1678 & 0.433543 \tabularnewline
42 & -0.031066 & -0.3028 & 0.381354 \tabularnewline
43 & 0.035099 & 0.3421 & 0.366513 \tabularnewline
44 & 0.031548 & 0.3075 & 0.379572 \tabularnewline
45 & -0.031099 & -0.3031 & 0.381233 \tabularnewline
46 & -0.036202 & -0.3529 & 0.362491 \tabularnewline
47 & -0.103913 & -1.0128 & 0.15686 \tabularnewline
48 & 0.19773 & 1.9272 & 0.028469 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=29819&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]-0.379037[/C][C]-3.6944[/C][C]0.000184[/C][/ROW]
[ROW][C]2[/C][C]-0.240107[/C][C]-2.3403[/C][C]0.010681[/C][/ROW]
[ROW][C]3[/C][C]0.248548[/C][C]2.4225[/C][C]0.008654[/C][/ROW]
[ROW][C]4[/C][C]-0.126739[/C][C]-1.2353[/C][C]0.109883[/C][/ROW]
[ROW][C]5[/C][C]-0.13488[/C][C]-1.3147[/C][C]0.095896[/C][/ROW]
[ROW][C]6[/C][C]0.314546[/C][C]3.0658[/C][C]0.001413[/C][/ROW]
[ROW][C]7[/C][C]-0.193021[/C][C]-1.8813[/C][C]0.031494[/C][/ROW]
[ROW][C]8[/C][C]-0.024543[/C][C]-0.2392[/C][C]0.405726[/C][/ROW]
[ROW][C]9[/C][C]0.231172[/C][C]2.2532[/C][C]0.013274[/C][/ROW]
[ROW][C]10[/C][C]-0.320178[/C][C]-3.1207[/C][C]0.001195[/C][/ROW]
[ROW][C]11[/C][C]-0.151408[/C][C]-1.4757[/C][C]0.07166[/C][/ROW]
[ROW][C]12[/C][C]0.618114[/C][C]6.0246[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]-0.262767[/C][C]-2.5611[/C][C]0.006004[/C][/ROW]
[ROW][C]14[/C][C]-0.122441[/C][C]-1.1934[/C][C]0.117841[/C][/ROW]
[ROW][C]15[/C][C]0.122142[/C][C]1.1905[/C][C]0.11841[/C][/ROW]
[ROW][C]16[/C][C]-0.139198[/C][C]-1.3567[/C][C]0.08904[/C][/ROW]
[ROW][C]17[/C][C]-0.00182[/C][C]-0.0177[/C][C]0.492944[/C][/ROW]
[ROW][C]18[/C][C]0.169058[/C][C]1.6478[/C][C]0.051351[/C][/ROW]
[ROW][C]19[/C][C]-0.133409[/C][C]-1.3003[/C][C]0.09832[/C][/ROW]
[ROW][C]20[/C][C]0.022914[/C][C]0.2233[/C][C]0.411878[/C][/ROW]
[ROW][C]21[/C][C]0.140518[/C][C]1.3696[/C][C]0.08702[/C][/ROW]
[ROW][C]22[/C][C]-0.320957[/C][C]-3.1283[/C][C]0.001167[/C][/ROW]
[ROW][C]23[/C][C]0.0812[/C][C]0.7914[/C][C]0.215329[/C][/ROW]
[ROW][C]24[/C][C]0.297887[/C][C]2.9034[/C][C]0.002295[/C][/ROW]
[ROW][C]25[/C][C]-0.111292[/C][C]-1.0847[/C][C]0.140392[/C][/ROW]
[ROW][C]26[/C][C]-0.064499[/C][C]-0.6287[/C][C]0.26554[/C][/ROW]
[ROW][C]27[/C][C]0.003163[/C][C]0.0308[/C][C]0.487736[/C][/ROW]
[ROW][C]28[/C][C]-0.074969[/C][C]-0.7307[/C][C]0.233377[/C][/ROW]
[ROW][C]29[/C][C]0.060712[/C][C]0.5917[/C][C]0.277712[/C][/ROW]
[ROW][C]30[/C][C]0.003376[/C][C]0.0329[/C][C]0.486908[/C][/ROW]
[ROW][C]31[/C][C]-0.030763[/C][C]-0.2998[/C][C]0.382477[/C][/ROW]
[ROW][C]32[/C][C]0.060898[/C][C]0.5936[/C][C]0.277108[/C][/ROW]
[ROW][C]33[/C][C]0.00818[/C][C]0.0797[/C][C]0.468311[/C][/ROW]
[ROW][C]34[/C][C]-0.18389[/C][C]-1.7923[/C][C]0.038131[/C][/ROW]
[ROW][C]35[/C][C]0.027686[/C][C]0.2698[/C][C]0.393931[/C][/ROW]
[ROW][C]36[/C][C]0.202433[/C][C]1.9731[/C][C]0.025697[/C][/ROW]
[ROW][C]37[/C][C]0.017471[/C][C]0.1703[/C][C]0.432573[/C][/ROW]
[ROW][C]38[/C][C]-0.132705[/C][C]-1.2934[/C][C]0.099496[/C][/ROW]
[ROW][C]39[/C][C]-0.016679[/C][C]-0.1626[/C][C]0.435602[/C][/ROW]
[ROW][C]40[/C][C]0.013496[/C][C]0.1315[/C][C]0.447811[/C][/ROW]
[ROW][C]41[/C][C]0.017218[/C][C]0.1678[/C][C]0.433543[/C][/ROW]
[ROW][C]42[/C][C]-0.031066[/C][C]-0.3028[/C][C]0.381354[/C][/ROW]
[ROW][C]43[/C][C]0.035099[/C][C]0.3421[/C][C]0.366513[/C][/ROW]
[ROW][C]44[/C][C]0.031548[/C][C]0.3075[/C][C]0.379572[/C][/ROW]
[ROW][C]45[/C][C]-0.031099[/C][C]-0.3031[/C][C]0.381233[/C][/ROW]
[ROW][C]46[/C][C]-0.036202[/C][C]-0.3529[/C][C]0.362491[/C][/ROW]
[ROW][C]47[/C][C]-0.103913[/C][C]-1.0128[/C][C]0.15686[/C][/ROW]
[ROW][C]48[/C][C]0.19773[/C][C]1.9272[/C][C]0.028469[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=29819&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=29819&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
1-0.379037-3.69440.000184
2-0.240107-2.34030.010681
30.2485482.42250.008654
4-0.126739-1.23530.109883
5-0.13488-1.31470.095896
60.3145463.06580.001413
7-0.193021-1.88130.031494
8-0.024543-0.23920.405726
90.2311722.25320.013274
10-0.320178-3.12070.001195
11-0.151408-1.47570.07166
120.6181146.02460
13-0.262767-2.56110.006004
14-0.122441-1.19340.117841
150.1221421.19050.11841
16-0.139198-1.35670.08904
17-0.00182-0.01770.492944
180.1690581.64780.051351
19-0.133409-1.30030.09832
200.0229140.22330.411878
210.1405181.36960.08702
22-0.320957-3.12830.001167
230.08120.79140.215329
240.2978872.90340.002295
25-0.111292-1.08470.140392
26-0.064499-0.62870.26554
270.0031630.03080.487736
28-0.074969-0.73070.233377
290.0607120.59170.277712
300.0033760.03290.486908
31-0.030763-0.29980.382477
320.0608980.59360.277108
330.008180.07970.468311
34-0.18389-1.79230.038131
350.0276860.26980.393931
360.2024331.97310.025697
370.0174710.17030.432573
38-0.132705-1.29340.099496
39-0.016679-0.16260.435602
400.0134960.13150.447811
410.0172180.16780.433543
42-0.031066-0.30280.381354
430.0350990.34210.366513
440.0315480.30750.379572
45-0.031099-0.30310.381233
46-0.036202-0.35290.362491
47-0.103913-1.01280.15686
480.197731.92720.028469







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.379037-3.69440.000184
2-0.448164-4.36821.6e-05
3-0.077622-0.75660.22559
4-0.189532-1.84730.033906
5-0.278543-2.71490.003937
60.0697230.67960.249214
7-0.116568-1.13620.129372
8-0.011457-0.11170.455659
90.1510351.47210.072149
10-0.189433-1.84640.033977
11-0.434234-4.23242.7e-05
120.2713952.64520.004777
130.185011.80330.037259
140.148551.44790.07547
15-0.11367-1.10790.135348
16-0.113747-1.10870.135187
170.0177210.17270.431618
18-0.08583-0.83660.202466
190.0104560.10190.459521
20-0.066944-0.65250.257832
21-0.078992-0.76990.221629
22-0.190324-1.85510.033345
230.0991370.96630.168182
240.0354530.34560.365221
250.1410411.37470.086229
260.0320780.31270.377614
27-0.039948-0.38940.34894
280.0549810.53590.296646
290.0431310.42040.337575
30-0.077173-0.75220.2269
31-0.103107-1.0050.158733
32-0.092932-0.90580.183669
33-0.093326-0.90960.182659
340.039650.38650.35001
35-0.225593-2.19880.015159
36-0.04253-0.41450.33971
370.0326840.31860.375379
38-0.049197-0.47950.316339
390.0230090.22430.411517
40-0.011096-0.10810.457053
410.0316060.30810.379358
42-0.024429-0.23810.406157
43-0.004489-0.04380.482595
44-0.022318-0.21750.41413
45-0.054782-0.53390.297313
460.009010.08780.465103
47-0.093482-0.91110.182261
48-0.061609-0.60050.274804

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.379037 & -3.6944 & 0.000184 \tabularnewline
2 & -0.448164 & -4.3682 & 1.6e-05 \tabularnewline
3 & -0.077622 & -0.7566 & 0.22559 \tabularnewline
4 & -0.189532 & -1.8473 & 0.033906 \tabularnewline
5 & -0.278543 & -2.7149 & 0.003937 \tabularnewline
6 & 0.069723 & 0.6796 & 0.249214 \tabularnewline
7 & -0.116568 & -1.1362 & 0.129372 \tabularnewline
8 & -0.011457 & -0.1117 & 0.455659 \tabularnewline
9 & 0.151035 & 1.4721 & 0.072149 \tabularnewline
10 & -0.189433 & -1.8464 & 0.033977 \tabularnewline
11 & -0.434234 & -4.2324 & 2.7e-05 \tabularnewline
12 & 0.271395 & 2.6452 & 0.004777 \tabularnewline
13 & 0.18501 & 1.8033 & 0.037259 \tabularnewline
14 & 0.14855 & 1.4479 & 0.07547 \tabularnewline
15 & -0.11367 & -1.1079 & 0.135348 \tabularnewline
16 & -0.113747 & -1.1087 & 0.135187 \tabularnewline
17 & 0.017721 & 0.1727 & 0.431618 \tabularnewline
18 & -0.08583 & -0.8366 & 0.202466 \tabularnewline
19 & 0.010456 & 0.1019 & 0.459521 \tabularnewline
20 & -0.066944 & -0.6525 & 0.257832 \tabularnewline
21 & -0.078992 & -0.7699 & 0.221629 \tabularnewline
22 & -0.190324 & -1.8551 & 0.033345 \tabularnewline
23 & 0.099137 & 0.9663 & 0.168182 \tabularnewline
24 & 0.035453 & 0.3456 & 0.365221 \tabularnewline
25 & 0.141041 & 1.3747 & 0.086229 \tabularnewline
26 & 0.032078 & 0.3127 & 0.377614 \tabularnewline
27 & -0.039948 & -0.3894 & 0.34894 \tabularnewline
28 & 0.054981 & 0.5359 & 0.296646 \tabularnewline
29 & 0.043131 & 0.4204 & 0.337575 \tabularnewline
30 & -0.077173 & -0.7522 & 0.2269 \tabularnewline
31 & -0.103107 & -1.005 & 0.158733 \tabularnewline
32 & -0.092932 & -0.9058 & 0.183669 \tabularnewline
33 & -0.093326 & -0.9096 & 0.182659 \tabularnewline
34 & 0.03965 & 0.3865 & 0.35001 \tabularnewline
35 & -0.225593 & -2.1988 & 0.015159 \tabularnewline
36 & -0.04253 & -0.4145 & 0.33971 \tabularnewline
37 & 0.032684 & 0.3186 & 0.375379 \tabularnewline
38 & -0.049197 & -0.4795 & 0.316339 \tabularnewline
39 & 0.023009 & 0.2243 & 0.411517 \tabularnewline
40 & -0.011096 & -0.1081 & 0.457053 \tabularnewline
41 & 0.031606 & 0.3081 & 0.379358 \tabularnewline
42 & -0.024429 & -0.2381 & 0.406157 \tabularnewline
43 & -0.004489 & -0.0438 & 0.482595 \tabularnewline
44 & -0.022318 & -0.2175 & 0.41413 \tabularnewline
45 & -0.054782 & -0.5339 & 0.297313 \tabularnewline
46 & 0.00901 & 0.0878 & 0.465103 \tabularnewline
47 & -0.093482 & -0.9111 & 0.182261 \tabularnewline
48 & -0.061609 & -0.6005 & 0.274804 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=29819&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]-0.379037[/C][C]-3.6944[/C][C]0.000184[/C][/ROW]
[ROW][C]2[/C][C]-0.448164[/C][C]-4.3682[/C][C]1.6e-05[/C][/ROW]
[ROW][C]3[/C][C]-0.077622[/C][C]-0.7566[/C][C]0.22559[/C][/ROW]
[ROW][C]4[/C][C]-0.189532[/C][C]-1.8473[/C][C]0.033906[/C][/ROW]
[ROW][C]5[/C][C]-0.278543[/C][C]-2.7149[/C][C]0.003937[/C][/ROW]
[ROW][C]6[/C][C]0.069723[/C][C]0.6796[/C][C]0.249214[/C][/ROW]
[ROW][C]7[/C][C]-0.116568[/C][C]-1.1362[/C][C]0.129372[/C][/ROW]
[ROW][C]8[/C][C]-0.011457[/C][C]-0.1117[/C][C]0.455659[/C][/ROW]
[ROW][C]9[/C][C]0.151035[/C][C]1.4721[/C][C]0.072149[/C][/ROW]
[ROW][C]10[/C][C]-0.189433[/C][C]-1.8464[/C][C]0.033977[/C][/ROW]
[ROW][C]11[/C][C]-0.434234[/C][C]-4.2324[/C][C]2.7e-05[/C][/ROW]
[ROW][C]12[/C][C]0.271395[/C][C]2.6452[/C][C]0.004777[/C][/ROW]
[ROW][C]13[/C][C]0.18501[/C][C]1.8033[/C][C]0.037259[/C][/ROW]
[ROW][C]14[/C][C]0.14855[/C][C]1.4479[/C][C]0.07547[/C][/ROW]
[ROW][C]15[/C][C]-0.11367[/C][C]-1.1079[/C][C]0.135348[/C][/ROW]
[ROW][C]16[/C][C]-0.113747[/C][C]-1.1087[/C][C]0.135187[/C][/ROW]
[ROW][C]17[/C][C]0.017721[/C][C]0.1727[/C][C]0.431618[/C][/ROW]
[ROW][C]18[/C][C]-0.08583[/C][C]-0.8366[/C][C]0.202466[/C][/ROW]
[ROW][C]19[/C][C]0.010456[/C][C]0.1019[/C][C]0.459521[/C][/ROW]
[ROW][C]20[/C][C]-0.066944[/C][C]-0.6525[/C][C]0.257832[/C][/ROW]
[ROW][C]21[/C][C]-0.078992[/C][C]-0.7699[/C][C]0.221629[/C][/ROW]
[ROW][C]22[/C][C]-0.190324[/C][C]-1.8551[/C][C]0.033345[/C][/ROW]
[ROW][C]23[/C][C]0.099137[/C][C]0.9663[/C][C]0.168182[/C][/ROW]
[ROW][C]24[/C][C]0.035453[/C][C]0.3456[/C][C]0.365221[/C][/ROW]
[ROW][C]25[/C][C]0.141041[/C][C]1.3747[/C][C]0.086229[/C][/ROW]
[ROW][C]26[/C][C]0.032078[/C][C]0.3127[/C][C]0.377614[/C][/ROW]
[ROW][C]27[/C][C]-0.039948[/C][C]-0.3894[/C][C]0.34894[/C][/ROW]
[ROW][C]28[/C][C]0.054981[/C][C]0.5359[/C][C]0.296646[/C][/ROW]
[ROW][C]29[/C][C]0.043131[/C][C]0.4204[/C][C]0.337575[/C][/ROW]
[ROW][C]30[/C][C]-0.077173[/C][C]-0.7522[/C][C]0.2269[/C][/ROW]
[ROW][C]31[/C][C]-0.103107[/C][C]-1.005[/C][C]0.158733[/C][/ROW]
[ROW][C]32[/C][C]-0.092932[/C][C]-0.9058[/C][C]0.183669[/C][/ROW]
[ROW][C]33[/C][C]-0.093326[/C][C]-0.9096[/C][C]0.182659[/C][/ROW]
[ROW][C]34[/C][C]0.03965[/C][C]0.3865[/C][C]0.35001[/C][/ROW]
[ROW][C]35[/C][C]-0.225593[/C][C]-2.1988[/C][C]0.015159[/C][/ROW]
[ROW][C]36[/C][C]-0.04253[/C][C]-0.4145[/C][C]0.33971[/C][/ROW]
[ROW][C]37[/C][C]0.032684[/C][C]0.3186[/C][C]0.375379[/C][/ROW]
[ROW][C]38[/C][C]-0.049197[/C][C]-0.4795[/C][C]0.316339[/C][/ROW]
[ROW][C]39[/C][C]0.023009[/C][C]0.2243[/C][C]0.411517[/C][/ROW]
[ROW][C]40[/C][C]-0.011096[/C][C]-0.1081[/C][C]0.457053[/C][/ROW]
[ROW][C]41[/C][C]0.031606[/C][C]0.3081[/C][C]0.379358[/C][/ROW]
[ROW][C]42[/C][C]-0.024429[/C][C]-0.2381[/C][C]0.406157[/C][/ROW]
[ROW][C]43[/C][C]-0.004489[/C][C]-0.0438[/C][C]0.482595[/C][/ROW]
[ROW][C]44[/C][C]-0.022318[/C][C]-0.2175[/C][C]0.41413[/C][/ROW]
[ROW][C]45[/C][C]-0.054782[/C][C]-0.5339[/C][C]0.297313[/C][/ROW]
[ROW][C]46[/C][C]0.00901[/C][C]0.0878[/C][C]0.465103[/C][/ROW]
[ROW][C]47[/C][C]-0.093482[/C][C]-0.9111[/C][C]0.182261[/C][/ROW]
[ROW][C]48[/C][C]-0.061609[/C][C]-0.6005[/C][C]0.274804[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=29819&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=29819&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
1-0.379037-3.69440.000184
2-0.448164-4.36821.6e-05
3-0.077622-0.75660.22559
4-0.189532-1.84730.033906
5-0.278543-2.71490.003937
60.0697230.67960.249214
7-0.116568-1.13620.129372
8-0.011457-0.11170.455659
90.1510351.47210.072149
10-0.189433-1.84640.033977
11-0.434234-4.23242.7e-05
120.2713952.64520.004777
130.185011.80330.037259
140.148551.44790.07547
15-0.11367-1.10790.135348
16-0.113747-1.10870.135187
170.0177210.17270.431618
18-0.08583-0.83660.202466
190.0104560.10190.459521
20-0.066944-0.65250.257832
21-0.078992-0.76990.221629
22-0.190324-1.85510.033345
230.0991370.96630.168182
240.0354530.34560.365221
250.1410411.37470.086229
260.0320780.31270.377614
27-0.039948-0.38940.34894
280.0549810.53590.296646
290.0431310.42040.337575
30-0.077173-0.75220.2269
31-0.103107-1.0050.158733
32-0.092932-0.90580.183669
33-0.093326-0.90960.182659
340.039650.38650.35001
35-0.225593-2.19880.015159
36-0.04253-0.41450.33971
370.0326840.31860.375379
38-0.049197-0.47950.316339
390.0230090.22430.411517
40-0.011096-0.10810.457053
410.0316060.30810.379358
42-0.024429-0.23810.406157
43-0.004489-0.04380.482595
44-0.022318-0.21750.41413
45-0.054782-0.53390.297313
460.009010.08780.465103
47-0.093482-0.91110.182261
48-0.061609-0.60050.274804



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; 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')