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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, 29 Nov 2009 06:57:08 -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/Nov/29/t1259503144lbw6acrnv8c09ko.htm/, Retrieved Fri, 29 Mar 2024 12:20:35 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=61605, Retrieved Fri, 29 Mar 2024 12:20:35 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsETSHWP(12)
Estimated Impact123
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Paper statistiek:...] [2009-11-29 13:57:08] [af31b947d6acaef3c71f428c4bb503e9] [Current]
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Dataseries X:
0.51
0.51
0.51
0.51
0.52
0.52
0.52
0.53
0.53
0.52
0.52
0.52
0.52
0.52
0.52
0.52
0.52
0.52
0.52
0.53
0.53
0.53
0.54
0.54
0.54
0.54
0.54
0.54
0.54
0.54
0.54
0.54
0.53
0.53
0.53
0.53
0.53
0.54
0.55
0.55
0.55
0.55
0.55
0.55
0.55
0.55
0.56
0.56
0.56
0.56
0.56
0.55
0.56
0.55
0.55
0.56
0.55
0.55
0.55
0.55




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=61605&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=61605&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=61605&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
10.8087345.60311e-06
20.5820584.03269.8e-05
30.3358312.32670.012124
40.0896040.62080.268836
5-0.068094-0.47180.319613
6-0.206243-1.42890.079755
7-0.291275-2.0180.024599
8-0.342739-2.37460.010808
9-0.480888-3.33170.000834
10-0.60502-4.19175.9e-05
11-0.626606-4.34133.6e-05
12-0.59692-4.13567.1e-05
13-0.443294-3.07120.001753
14-0.218846-1.51620.068012
150.0074470.05160.479534
160.1983281.37410.087904
170.3025252.0960.020692
180.33592.32720.01211
190.3338642.31310.012525
200.298262.06640.022104
210.2822071.95520.028199
220.319272.2120.015881
230.28922.00360.025386
240.2255631.56270.062341
250.1265140.87650.192558
26-0.00979-0.06780.473102
27-0.132078-0.91510.182367
28-0.254365-1.76230.042193
29-0.289968-2.0090.025092
30-0.256594-1.77770.040892
31-0.205513-1.42380.080481
32-0.154433-1.06990.144999
33-0.087491-0.60620.273634
34-0.05596-0.38770.349974
35-0.04398-0.30470.380956
36-0.031999-0.22170.412745
370.0153930.10660.457758
380.0646290.44780.32817
390.0821420.56910.285972
400.0856390.59330.277875
410.0695850.48210.315963
420.0553760.38370.351463
430.0234620.16250.435779
44-0.010298-0.07130.47171
45-0.008645-0.05990.476243
46-0.006993-0.04840.480779
47-0.003497-0.02420.490387
48NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.808734 & 5.6031 & 1e-06 \tabularnewline
2 & 0.582058 & 4.0326 & 9.8e-05 \tabularnewline
3 & 0.335831 & 2.3267 & 0.012124 \tabularnewline
4 & 0.089604 & 0.6208 & 0.268836 \tabularnewline
5 & -0.068094 & -0.4718 & 0.319613 \tabularnewline
6 & -0.206243 & -1.4289 & 0.079755 \tabularnewline
7 & -0.291275 & -2.018 & 0.024599 \tabularnewline
8 & -0.342739 & -2.3746 & 0.010808 \tabularnewline
9 & -0.480888 & -3.3317 & 0.000834 \tabularnewline
10 & -0.60502 & -4.1917 & 5.9e-05 \tabularnewline
11 & -0.626606 & -4.3413 & 3.6e-05 \tabularnewline
12 & -0.59692 & -4.1356 & 7.1e-05 \tabularnewline
13 & -0.443294 & -3.0712 & 0.001753 \tabularnewline
14 & -0.218846 & -1.5162 & 0.068012 \tabularnewline
15 & 0.007447 & 0.0516 & 0.479534 \tabularnewline
16 & 0.198328 & 1.3741 & 0.087904 \tabularnewline
17 & 0.302525 & 2.096 & 0.020692 \tabularnewline
18 & 0.3359 & 2.3272 & 0.01211 \tabularnewline
19 & 0.333864 & 2.3131 & 0.012525 \tabularnewline
20 & 0.29826 & 2.0664 & 0.022104 \tabularnewline
21 & 0.282207 & 1.9552 & 0.028199 \tabularnewline
22 & 0.31927 & 2.212 & 0.015881 \tabularnewline
23 & 0.2892 & 2.0036 & 0.025386 \tabularnewline
24 & 0.225563 & 1.5627 & 0.062341 \tabularnewline
25 & 0.126514 & 0.8765 & 0.192558 \tabularnewline
26 & -0.00979 & -0.0678 & 0.473102 \tabularnewline
27 & -0.132078 & -0.9151 & 0.182367 \tabularnewline
28 & -0.254365 & -1.7623 & 0.042193 \tabularnewline
29 & -0.289968 & -2.009 & 0.025092 \tabularnewline
30 & -0.256594 & -1.7777 & 0.040892 \tabularnewline
31 & -0.205513 & -1.4238 & 0.080481 \tabularnewline
32 & -0.154433 & -1.0699 & 0.144999 \tabularnewline
33 & -0.087491 & -0.6062 & 0.273634 \tabularnewline
34 & -0.05596 & -0.3877 & 0.349974 \tabularnewline
35 & -0.04398 & -0.3047 & 0.380956 \tabularnewline
36 & -0.031999 & -0.2217 & 0.412745 \tabularnewline
37 & 0.015393 & 0.1066 & 0.457758 \tabularnewline
38 & 0.064629 & 0.4478 & 0.32817 \tabularnewline
39 & 0.082142 & 0.5691 & 0.285972 \tabularnewline
40 & 0.085639 & 0.5933 & 0.277875 \tabularnewline
41 & 0.069585 & 0.4821 & 0.315963 \tabularnewline
42 & 0.055376 & 0.3837 & 0.351463 \tabularnewline
43 & 0.023462 & 0.1625 & 0.435779 \tabularnewline
44 & -0.010298 & -0.0713 & 0.47171 \tabularnewline
45 & -0.008645 & -0.0599 & 0.476243 \tabularnewline
46 & -0.006993 & -0.0484 & 0.480779 \tabularnewline
47 & -0.003497 & -0.0242 & 0.490387 \tabularnewline
48 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=61605&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]0.808734[/C][C]5.6031[/C][C]1e-06[/C][/ROW]
[ROW][C]2[/C][C]0.582058[/C][C]4.0326[/C][C]9.8e-05[/C][/ROW]
[ROW][C]3[/C][C]0.335831[/C][C]2.3267[/C][C]0.012124[/C][/ROW]
[ROW][C]4[/C][C]0.089604[/C][C]0.6208[/C][C]0.268836[/C][/ROW]
[ROW][C]5[/C][C]-0.068094[/C][C]-0.4718[/C][C]0.319613[/C][/ROW]
[ROW][C]6[/C][C]-0.206243[/C][C]-1.4289[/C][C]0.079755[/C][/ROW]
[ROW][C]7[/C][C]-0.291275[/C][C]-2.018[/C][C]0.024599[/C][/ROW]
[ROW][C]8[/C][C]-0.342739[/C][C]-2.3746[/C][C]0.010808[/C][/ROW]
[ROW][C]9[/C][C]-0.480888[/C][C]-3.3317[/C][C]0.000834[/C][/ROW]
[ROW][C]10[/C][C]-0.60502[/C][C]-4.1917[/C][C]5.9e-05[/C][/ROW]
[ROW][C]11[/C][C]-0.626606[/C][C]-4.3413[/C][C]3.6e-05[/C][/ROW]
[ROW][C]12[/C][C]-0.59692[/C][C]-4.1356[/C][C]7.1e-05[/C][/ROW]
[ROW][C]13[/C][C]-0.443294[/C][C]-3.0712[/C][C]0.001753[/C][/ROW]
[ROW][C]14[/C][C]-0.218846[/C][C]-1.5162[/C][C]0.068012[/C][/ROW]
[ROW][C]15[/C][C]0.007447[/C][C]0.0516[/C][C]0.479534[/C][/ROW]
[ROW][C]16[/C][C]0.198328[/C][C]1.3741[/C][C]0.087904[/C][/ROW]
[ROW][C]17[/C][C]0.302525[/C][C]2.096[/C][C]0.020692[/C][/ROW]
[ROW][C]18[/C][C]0.3359[/C][C]2.3272[/C][C]0.01211[/C][/ROW]
[ROW][C]19[/C][C]0.333864[/C][C]2.3131[/C][C]0.012525[/C][/ROW]
[ROW][C]20[/C][C]0.29826[/C][C]2.0664[/C][C]0.022104[/C][/ROW]
[ROW][C]21[/C][C]0.282207[/C][C]1.9552[/C][C]0.028199[/C][/ROW]
[ROW][C]22[/C][C]0.31927[/C][C]2.212[/C][C]0.015881[/C][/ROW]
[ROW][C]23[/C][C]0.2892[/C][C]2.0036[/C][C]0.025386[/C][/ROW]
[ROW][C]24[/C][C]0.225563[/C][C]1.5627[/C][C]0.062341[/C][/ROW]
[ROW][C]25[/C][C]0.126514[/C][C]0.8765[/C][C]0.192558[/C][/ROW]
[ROW][C]26[/C][C]-0.00979[/C][C]-0.0678[/C][C]0.473102[/C][/ROW]
[ROW][C]27[/C][C]-0.132078[/C][C]-0.9151[/C][C]0.182367[/C][/ROW]
[ROW][C]28[/C][C]-0.254365[/C][C]-1.7623[/C][C]0.042193[/C][/ROW]
[ROW][C]29[/C][C]-0.289968[/C][C]-2.009[/C][C]0.025092[/C][/ROW]
[ROW][C]30[/C][C]-0.256594[/C][C]-1.7777[/C][C]0.040892[/C][/ROW]
[ROW][C]31[/C][C]-0.205513[/C][C]-1.4238[/C][C]0.080481[/C][/ROW]
[ROW][C]32[/C][C]-0.154433[/C][C]-1.0699[/C][C]0.144999[/C][/ROW]
[ROW][C]33[/C][C]-0.087491[/C][C]-0.6062[/C][C]0.273634[/C][/ROW]
[ROW][C]34[/C][C]-0.05596[/C][C]-0.3877[/C][C]0.349974[/C][/ROW]
[ROW][C]35[/C][C]-0.04398[/C][C]-0.3047[/C][C]0.380956[/C][/ROW]
[ROW][C]36[/C][C]-0.031999[/C][C]-0.2217[/C][C]0.412745[/C][/ROW]
[ROW][C]37[/C][C]0.015393[/C][C]0.1066[/C][C]0.457758[/C][/ROW]
[ROW][C]38[/C][C]0.064629[/C][C]0.4478[/C][C]0.32817[/C][/ROW]
[ROW][C]39[/C][C]0.082142[/C][C]0.5691[/C][C]0.285972[/C][/ROW]
[ROW][C]40[/C][C]0.085639[/C][C]0.5933[/C][C]0.277875[/C][/ROW]
[ROW][C]41[/C][C]0.069585[/C][C]0.4821[/C][C]0.315963[/C][/ROW]
[ROW][C]42[/C][C]0.055376[/C][C]0.3837[/C][C]0.351463[/C][/ROW]
[ROW][C]43[/C][C]0.023462[/C][C]0.1625[/C][C]0.435779[/C][/ROW]
[ROW][C]44[/C][C]-0.010298[/C][C]-0.0713[/C][C]0.47171[/C][/ROW]
[ROW][C]45[/C][C]-0.008645[/C][C]-0.0599[/C][C]0.476243[/C][/ROW]
[ROW][C]46[/C][C]-0.006993[/C][C]-0.0484[/C][C]0.480779[/C][/ROW]
[ROW][C]47[/C][C]-0.003497[/C][C]-0.0242[/C][C]0.490387[/C][/ROW]
[ROW][C]48[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=61605&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=61605&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
10.8087345.60311e-06
20.5820584.03269.8e-05
30.3358312.32670.012124
40.0896040.62080.268836
5-0.068094-0.47180.319613
6-0.206243-1.42890.079755
7-0.291275-2.0180.024599
8-0.342739-2.37460.010808
9-0.480888-3.33170.000834
10-0.60502-4.19175.9e-05
11-0.626606-4.34133.6e-05
12-0.59692-4.13567.1e-05
13-0.443294-3.07120.001753
14-0.218846-1.51620.068012
150.0074470.05160.479534
160.1983281.37410.087904
170.3025252.0960.020692
180.33592.32720.01211
190.3338642.31310.012525
200.298262.06640.022104
210.2822071.95520.028199
220.319272.2120.015881
230.28922.00360.025386
240.2255631.56270.062341
250.1265140.87650.192558
26-0.00979-0.06780.473102
27-0.132078-0.91510.182367
28-0.254365-1.76230.042193
29-0.289968-2.0090.025092
30-0.256594-1.77770.040892
31-0.205513-1.42380.080481
32-0.154433-1.06990.144999
33-0.087491-0.60620.273634
34-0.05596-0.38770.349974
35-0.04398-0.30470.380956
36-0.031999-0.22170.412745
370.0153930.10660.457758
380.0646290.44780.32817
390.0821420.56910.285972
400.0856390.59330.277875
410.0695850.48210.315963
420.0553760.38370.351463
430.0234620.16250.435779
44-0.010298-0.07130.47171
45-0.008645-0.05990.476243
46-0.006993-0.04840.480779
47-0.003497-0.02420.490387
48NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.8087345.60311e-06
2-0.208105-1.44180.077926
3-0.195061-1.35140.091447
4-0.178815-1.23890.110709
50.060820.42140.337683
6-0.152254-1.05480.148388
7-0.052898-0.36650.357805
8-0.101502-0.70320.242656
9-0.439624-3.04580.001881
10-0.27978-1.93840.029235
110.0640050.44340.329721
12-0.09985-0.69180.246205
130.0475940.32970.371516
140.1291530.89480.18768
15-0.002736-0.0190.492478
16-0.140206-0.97140.168116
170.0171090.11850.45307
18-0.028227-0.19560.422889
19-0.16626-1.15190.127536
20-0.098678-0.68370.248739
210.0130670.09050.464121
220.10010.69350.245666
23-0.144901-1.00390.16023
240.0335360.23230.408629
250.0756530.52410.301297
26-0.032587-0.22580.41117
27-0.006796-0.04710.481321
28-0.04102-0.28420.388742
290.0447460.310.378948
30-0.101039-0.70.243648
310.047130.32650.372722
320.0272180.18860.425611
330.0612320.42420.336648
34-0.015347-0.10630.457884
35-0.017736-0.12290.451359
36-0.004338-0.03010.488073
370.044280.30680.380169
38-0.109482-0.75850.225927
39-0.125739-0.87110.194006
40-0.071-0.49190.312514
41-0.068318-0.47330.319064
420.087420.60570.273797
430.100310.6950.245213
44-0.100558-0.69670.244679
450.0110160.07630.469739
460.0141690.09820.461104
47-0.03768-0.26110.397584
48NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.808734 & 5.6031 & 1e-06 \tabularnewline
2 & -0.208105 & -1.4418 & 0.077926 \tabularnewline
3 & -0.195061 & -1.3514 & 0.091447 \tabularnewline
4 & -0.178815 & -1.2389 & 0.110709 \tabularnewline
5 & 0.06082 & 0.4214 & 0.337683 \tabularnewline
6 & -0.152254 & -1.0548 & 0.148388 \tabularnewline
7 & -0.052898 & -0.3665 & 0.357805 \tabularnewline
8 & -0.101502 & -0.7032 & 0.242656 \tabularnewline
9 & -0.439624 & -3.0458 & 0.001881 \tabularnewline
10 & -0.27978 & -1.9384 & 0.029235 \tabularnewline
11 & 0.064005 & 0.4434 & 0.329721 \tabularnewline
12 & -0.09985 & -0.6918 & 0.246205 \tabularnewline
13 & 0.047594 & 0.3297 & 0.371516 \tabularnewline
14 & 0.129153 & 0.8948 & 0.18768 \tabularnewline
15 & -0.002736 & -0.019 & 0.492478 \tabularnewline
16 & -0.140206 & -0.9714 & 0.168116 \tabularnewline
17 & 0.017109 & 0.1185 & 0.45307 \tabularnewline
18 & -0.028227 & -0.1956 & 0.422889 \tabularnewline
19 & -0.16626 & -1.1519 & 0.127536 \tabularnewline
20 & -0.098678 & -0.6837 & 0.248739 \tabularnewline
21 & 0.013067 & 0.0905 & 0.464121 \tabularnewline
22 & 0.1001 & 0.6935 & 0.245666 \tabularnewline
23 & -0.144901 & -1.0039 & 0.16023 \tabularnewline
24 & 0.033536 & 0.2323 & 0.408629 \tabularnewline
25 & 0.075653 & 0.5241 & 0.301297 \tabularnewline
26 & -0.032587 & -0.2258 & 0.41117 \tabularnewline
27 & -0.006796 & -0.0471 & 0.481321 \tabularnewline
28 & -0.04102 & -0.2842 & 0.388742 \tabularnewline
29 & 0.044746 & 0.31 & 0.378948 \tabularnewline
30 & -0.101039 & -0.7 & 0.243648 \tabularnewline
31 & 0.04713 & 0.3265 & 0.372722 \tabularnewline
32 & 0.027218 & 0.1886 & 0.425611 \tabularnewline
33 & 0.061232 & 0.4242 & 0.336648 \tabularnewline
34 & -0.015347 & -0.1063 & 0.457884 \tabularnewline
35 & -0.017736 & -0.1229 & 0.451359 \tabularnewline
36 & -0.004338 & -0.0301 & 0.488073 \tabularnewline
37 & 0.04428 & 0.3068 & 0.380169 \tabularnewline
38 & -0.109482 & -0.7585 & 0.225927 \tabularnewline
39 & -0.125739 & -0.8711 & 0.194006 \tabularnewline
40 & -0.071 & -0.4919 & 0.312514 \tabularnewline
41 & -0.068318 & -0.4733 & 0.319064 \tabularnewline
42 & 0.08742 & 0.6057 & 0.273797 \tabularnewline
43 & 0.10031 & 0.695 & 0.245213 \tabularnewline
44 & -0.100558 & -0.6967 & 0.244679 \tabularnewline
45 & 0.011016 & 0.0763 & 0.469739 \tabularnewline
46 & 0.014169 & 0.0982 & 0.461104 \tabularnewline
47 & -0.03768 & -0.2611 & 0.397584 \tabularnewline
48 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=61605&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]0.808734[/C][C]5.6031[/C][C]1e-06[/C][/ROW]
[ROW][C]2[/C][C]-0.208105[/C][C]-1.4418[/C][C]0.077926[/C][/ROW]
[ROW][C]3[/C][C]-0.195061[/C][C]-1.3514[/C][C]0.091447[/C][/ROW]
[ROW][C]4[/C][C]-0.178815[/C][C]-1.2389[/C][C]0.110709[/C][/ROW]
[ROW][C]5[/C][C]0.06082[/C][C]0.4214[/C][C]0.337683[/C][/ROW]
[ROW][C]6[/C][C]-0.152254[/C][C]-1.0548[/C][C]0.148388[/C][/ROW]
[ROW][C]7[/C][C]-0.052898[/C][C]-0.3665[/C][C]0.357805[/C][/ROW]
[ROW][C]8[/C][C]-0.101502[/C][C]-0.7032[/C][C]0.242656[/C][/ROW]
[ROW][C]9[/C][C]-0.439624[/C][C]-3.0458[/C][C]0.001881[/C][/ROW]
[ROW][C]10[/C][C]-0.27978[/C][C]-1.9384[/C][C]0.029235[/C][/ROW]
[ROW][C]11[/C][C]0.064005[/C][C]0.4434[/C][C]0.329721[/C][/ROW]
[ROW][C]12[/C][C]-0.09985[/C][C]-0.6918[/C][C]0.246205[/C][/ROW]
[ROW][C]13[/C][C]0.047594[/C][C]0.3297[/C][C]0.371516[/C][/ROW]
[ROW][C]14[/C][C]0.129153[/C][C]0.8948[/C][C]0.18768[/C][/ROW]
[ROW][C]15[/C][C]-0.002736[/C][C]-0.019[/C][C]0.492478[/C][/ROW]
[ROW][C]16[/C][C]-0.140206[/C][C]-0.9714[/C][C]0.168116[/C][/ROW]
[ROW][C]17[/C][C]0.017109[/C][C]0.1185[/C][C]0.45307[/C][/ROW]
[ROW][C]18[/C][C]-0.028227[/C][C]-0.1956[/C][C]0.422889[/C][/ROW]
[ROW][C]19[/C][C]-0.16626[/C][C]-1.1519[/C][C]0.127536[/C][/ROW]
[ROW][C]20[/C][C]-0.098678[/C][C]-0.6837[/C][C]0.248739[/C][/ROW]
[ROW][C]21[/C][C]0.013067[/C][C]0.0905[/C][C]0.464121[/C][/ROW]
[ROW][C]22[/C][C]0.1001[/C][C]0.6935[/C][C]0.245666[/C][/ROW]
[ROW][C]23[/C][C]-0.144901[/C][C]-1.0039[/C][C]0.16023[/C][/ROW]
[ROW][C]24[/C][C]0.033536[/C][C]0.2323[/C][C]0.408629[/C][/ROW]
[ROW][C]25[/C][C]0.075653[/C][C]0.5241[/C][C]0.301297[/C][/ROW]
[ROW][C]26[/C][C]-0.032587[/C][C]-0.2258[/C][C]0.41117[/C][/ROW]
[ROW][C]27[/C][C]-0.006796[/C][C]-0.0471[/C][C]0.481321[/C][/ROW]
[ROW][C]28[/C][C]-0.04102[/C][C]-0.2842[/C][C]0.388742[/C][/ROW]
[ROW][C]29[/C][C]0.044746[/C][C]0.31[/C][C]0.378948[/C][/ROW]
[ROW][C]30[/C][C]-0.101039[/C][C]-0.7[/C][C]0.243648[/C][/ROW]
[ROW][C]31[/C][C]0.04713[/C][C]0.3265[/C][C]0.372722[/C][/ROW]
[ROW][C]32[/C][C]0.027218[/C][C]0.1886[/C][C]0.425611[/C][/ROW]
[ROW][C]33[/C][C]0.061232[/C][C]0.4242[/C][C]0.336648[/C][/ROW]
[ROW][C]34[/C][C]-0.015347[/C][C]-0.1063[/C][C]0.457884[/C][/ROW]
[ROW][C]35[/C][C]-0.017736[/C][C]-0.1229[/C][C]0.451359[/C][/ROW]
[ROW][C]36[/C][C]-0.004338[/C][C]-0.0301[/C][C]0.488073[/C][/ROW]
[ROW][C]37[/C][C]0.04428[/C][C]0.3068[/C][C]0.380169[/C][/ROW]
[ROW][C]38[/C][C]-0.109482[/C][C]-0.7585[/C][C]0.225927[/C][/ROW]
[ROW][C]39[/C][C]-0.125739[/C][C]-0.8711[/C][C]0.194006[/C][/ROW]
[ROW][C]40[/C][C]-0.071[/C][C]-0.4919[/C][C]0.312514[/C][/ROW]
[ROW][C]41[/C][C]-0.068318[/C][C]-0.4733[/C][C]0.319064[/C][/ROW]
[ROW][C]42[/C][C]0.08742[/C][C]0.6057[/C][C]0.273797[/C][/ROW]
[ROW][C]43[/C][C]0.10031[/C][C]0.695[/C][C]0.245213[/C][/ROW]
[ROW][C]44[/C][C]-0.100558[/C][C]-0.6967[/C][C]0.244679[/C][/ROW]
[ROW][C]45[/C][C]0.011016[/C][C]0.0763[/C][C]0.469739[/C][/ROW]
[ROW][C]46[/C][C]0.014169[/C][C]0.0982[/C][C]0.461104[/C][/ROW]
[ROW][C]47[/C][C]-0.03768[/C][C]-0.2611[/C][C]0.397584[/C][/ROW]
[ROW][C]48[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=61605&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=61605&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
10.8087345.60311e-06
2-0.208105-1.44180.077926
3-0.195061-1.35140.091447
4-0.178815-1.23890.110709
50.060820.42140.337683
6-0.152254-1.05480.148388
7-0.052898-0.36650.357805
8-0.101502-0.70320.242656
9-0.439624-3.04580.001881
10-0.27978-1.93840.029235
110.0640050.44340.329721
12-0.09985-0.69180.246205
130.0475940.32970.371516
140.1291530.89480.18768
15-0.002736-0.0190.492478
16-0.140206-0.97140.168116
170.0171090.11850.45307
18-0.028227-0.19560.422889
19-0.16626-1.15190.127536
20-0.098678-0.68370.248739
210.0130670.09050.464121
220.10010.69350.245666
23-0.144901-1.00390.16023
240.0335360.23230.408629
250.0756530.52410.301297
26-0.032587-0.22580.41117
27-0.006796-0.04710.481321
28-0.04102-0.28420.388742
290.0447460.310.378948
30-0.101039-0.70.243648
310.047130.32650.372722
320.0272180.18860.425611
330.0612320.42420.336648
34-0.015347-0.10630.457884
35-0.017736-0.12290.451359
36-0.004338-0.03010.488073
370.044280.30680.380169
38-0.109482-0.75850.225927
39-0.125739-0.87110.194006
40-0.071-0.49190.312514
41-0.068318-0.47330.319064
420.087420.60570.273797
430.100310.6950.245213
44-0.100558-0.69670.244679
450.0110160.07630.469739
460.0141690.09820.461104
47-0.03768-0.26110.397584
48NANANA



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 1 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 1 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
R code (references can be found in the software module):
if (par1 == 'Default') {
par1 = 10*log10(length(x))
} else {
par1 <- as.numeric(par1)
}
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
par5 <- as.numeric(par5)
if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
par7 <- as.numeric(par7)
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='pic1.png')
racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
dev.off()
(myacf <- c(racf$acf))
(mypacf <- c(rpacf$acf))
lengthx <- length(x)
sqrtn <- sqrt(lengthx)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','ACF(k)','click here for more information about the Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 2:(par1+1)) {
a<-table.row.start(a)
a<-table.element(a,i-1,header=TRUE)
a<-table.element(a,round(myacf[i],6))
mytstat <- myacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Partial Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','PACF(k)','click here for more information about the Partial Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:par1) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,round(mypacf[i],6))
mytstat <- mypacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')