Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationThu, 06 Dec 2007 06:43:04 -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/2007/Dec/06/t1196947936tr0npjozpkgftu7.htm/, Retrieved Fri, 03 May 2024 05:18:34 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=2604, Retrieved Fri, 03 May 2024 05:18:34 +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] [workshop 5] [2007-12-06 13:43:04] [0608207d88b1eaba866515cf0d1cb34d] [Current]
Feedback Forum

Post a new message
Dataseries X:
2.4
-0.9
-2.0
6.0
-2.8
-0.2
8.2
1.6
0.3
7.5
2.7
7.3
6.7
0.5
6.2
4.6
2.4
0.5
-4.9
-1.6
0.5
3.2
-6.5
-1.8
-1.2
-3.7
5.6
2.0
4.4
5.8
10.1
0.7
12.7
1.6
5.8
6.0
2.1
11.1
2.8
-0.6
6.5
3.8
3.3
5.9
-0.3
3.0
6.8
3.4
-3.0




Summary of compuational 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 compuational 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=2604&T=0

[TABLE]
[ROW][C]Summary of compuational 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=2604&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2604&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 compuational 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
016.08280
10.2324051.41370.082909
20.3915852.38190.011239
30.3289192.00070.026399
40.1376070.8370.203975
50.1150170.69960.24427
60.0454950.27670.391761
7-0.219014-1.33220.904531
8-0.239125-1.45450.922886
9-0.21982-1.33710.905325
10-0.406818-2.47460.990976
11-0.273722-1.6650.947819
12-0.454395-2.7640.995576
13-0.23437-1.42560.918819
14-0.273877-1.66590.947914
15-0.085886-0.52240.697755
16-0.061068-0.37150.643794
17-0.014105-0.08580.533955
180.0573380.34880.364617
19-0.054463-0.33130.628851
200.1942871.18180.122412
210.1629090.99090.164077
220.0756230.460.324106
230.167381.01810.157613
240.0911490.55440.291308
250.0417080.25370.400565
260.1219950.74210.231365
270.007050.04290.483013
28-0.070866-0.43110.665538
290.0630530.38350.351759
30-0.031626-0.19240.575748
31-0.002295-0.0140.505533
32-0.039331-0.23920.59388
33-0.005072-0.03090.512223
34-0.025084-0.15260.560221
35-0.010092-0.06140.524311
36-0.01249-0.0760.530075
37NANANA
38NANANA
39NANANA
40NANANA
41NANANA
42NANANA
43NANANA
44NANANA
45NANANA
46NANANA
47NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 6.0828 & 0 \tabularnewline
1 & 0.232405 & 1.4137 & 0.082909 \tabularnewline
2 & 0.391585 & 2.3819 & 0.011239 \tabularnewline
3 & 0.328919 & 2.0007 & 0.026399 \tabularnewline
4 & 0.137607 & 0.837 & 0.203975 \tabularnewline
5 & 0.115017 & 0.6996 & 0.24427 \tabularnewline
6 & 0.045495 & 0.2767 & 0.391761 \tabularnewline
7 & -0.219014 & -1.3322 & 0.904531 \tabularnewline
8 & -0.239125 & -1.4545 & 0.922886 \tabularnewline
9 & -0.21982 & -1.3371 & 0.905325 \tabularnewline
10 & -0.406818 & -2.4746 & 0.990976 \tabularnewline
11 & -0.273722 & -1.665 & 0.947819 \tabularnewline
12 & -0.454395 & -2.764 & 0.995576 \tabularnewline
13 & -0.23437 & -1.4256 & 0.918819 \tabularnewline
14 & -0.273877 & -1.6659 & 0.947914 \tabularnewline
15 & -0.085886 & -0.5224 & 0.697755 \tabularnewline
16 & -0.061068 & -0.3715 & 0.643794 \tabularnewline
17 & -0.014105 & -0.0858 & 0.533955 \tabularnewline
18 & 0.057338 & 0.3488 & 0.364617 \tabularnewline
19 & -0.054463 & -0.3313 & 0.628851 \tabularnewline
20 & 0.194287 & 1.1818 & 0.122412 \tabularnewline
21 & 0.162909 & 0.9909 & 0.164077 \tabularnewline
22 & 0.075623 & 0.46 & 0.324106 \tabularnewline
23 & 0.16738 & 1.0181 & 0.157613 \tabularnewline
24 & 0.091149 & 0.5544 & 0.291308 \tabularnewline
25 & 0.041708 & 0.2537 & 0.400565 \tabularnewline
26 & 0.121995 & 0.7421 & 0.231365 \tabularnewline
27 & 0.00705 & 0.0429 & 0.483013 \tabularnewline
28 & -0.070866 & -0.4311 & 0.665538 \tabularnewline
29 & 0.063053 & 0.3835 & 0.351759 \tabularnewline
30 & -0.031626 & -0.1924 & 0.575748 \tabularnewline
31 & -0.002295 & -0.014 & 0.505533 \tabularnewline
32 & -0.039331 & -0.2392 & 0.59388 \tabularnewline
33 & -0.005072 & -0.0309 & 0.512223 \tabularnewline
34 & -0.025084 & -0.1526 & 0.560221 \tabularnewline
35 & -0.010092 & -0.0614 & 0.524311 \tabularnewline
36 & -0.01249 & -0.076 & 0.530075 \tabularnewline
37 & NA & NA & NA \tabularnewline
38 & NA & NA & NA \tabularnewline
39 & NA & NA & NA \tabularnewline
40 & NA & NA & NA \tabularnewline
41 & NA & NA & NA \tabularnewline
42 & NA & NA & NA \tabularnewline
43 & NA & NA & NA \tabularnewline
44 & NA & NA & NA \tabularnewline
45 & NA & NA & NA \tabularnewline
46 & NA & NA & NA \tabularnewline
47 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2604&T=1

[TABLE]
[ROW][C]Autocorrelation Function[/C][/ROW]
[ROW][C]Time lag k[/C][C]ACF(k)[/C][C]T-STAT[/C][C]P-value[/C][/ROW]
[ROW][C]0[/C][C]1[/C][C]6.0828[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.232405[/C][C]1.4137[/C][C]0.082909[/C][/ROW]
[ROW][C]2[/C][C]0.391585[/C][C]2.3819[/C][C]0.011239[/C][/ROW]
[ROW][C]3[/C][C]0.328919[/C][C]2.0007[/C][C]0.026399[/C][/ROW]
[ROW][C]4[/C][C]0.137607[/C][C]0.837[/C][C]0.203975[/C][/ROW]
[ROW][C]5[/C][C]0.115017[/C][C]0.6996[/C][C]0.24427[/C][/ROW]
[ROW][C]6[/C][C]0.045495[/C][C]0.2767[/C][C]0.391761[/C][/ROW]
[ROW][C]7[/C][C]-0.219014[/C][C]-1.3322[/C][C]0.904531[/C][/ROW]
[ROW][C]8[/C][C]-0.239125[/C][C]-1.4545[/C][C]0.922886[/C][/ROW]
[ROW][C]9[/C][C]-0.21982[/C][C]-1.3371[/C][C]0.905325[/C][/ROW]
[ROW][C]10[/C][C]-0.406818[/C][C]-2.4746[/C][C]0.990976[/C][/ROW]
[ROW][C]11[/C][C]-0.273722[/C][C]-1.665[/C][C]0.947819[/C][/ROW]
[ROW][C]12[/C][C]-0.454395[/C][C]-2.764[/C][C]0.995576[/C][/ROW]
[ROW][C]13[/C][C]-0.23437[/C][C]-1.4256[/C][C]0.918819[/C][/ROW]
[ROW][C]14[/C][C]-0.273877[/C][C]-1.6659[/C][C]0.947914[/C][/ROW]
[ROW][C]15[/C][C]-0.085886[/C][C]-0.5224[/C][C]0.697755[/C][/ROW]
[ROW][C]16[/C][C]-0.061068[/C][C]-0.3715[/C][C]0.643794[/C][/ROW]
[ROW][C]17[/C][C]-0.014105[/C][C]-0.0858[/C][C]0.533955[/C][/ROW]
[ROW][C]18[/C][C]0.057338[/C][C]0.3488[/C][C]0.364617[/C][/ROW]
[ROW][C]19[/C][C]-0.054463[/C][C]-0.3313[/C][C]0.628851[/C][/ROW]
[ROW][C]20[/C][C]0.194287[/C][C]1.1818[/C][C]0.122412[/C][/ROW]
[ROW][C]21[/C][C]0.162909[/C][C]0.9909[/C][C]0.164077[/C][/ROW]
[ROW][C]22[/C][C]0.075623[/C][C]0.46[/C][C]0.324106[/C][/ROW]
[ROW][C]23[/C][C]0.16738[/C][C]1.0181[/C][C]0.157613[/C][/ROW]
[ROW][C]24[/C][C]0.091149[/C][C]0.5544[/C][C]0.291308[/C][/ROW]
[ROW][C]25[/C][C]0.041708[/C][C]0.2537[/C][C]0.400565[/C][/ROW]
[ROW][C]26[/C][C]0.121995[/C][C]0.7421[/C][C]0.231365[/C][/ROW]
[ROW][C]27[/C][C]0.00705[/C][C]0.0429[/C][C]0.483013[/C][/ROW]
[ROW][C]28[/C][C]-0.070866[/C][C]-0.4311[/C][C]0.665538[/C][/ROW]
[ROW][C]29[/C][C]0.063053[/C][C]0.3835[/C][C]0.351759[/C][/ROW]
[ROW][C]30[/C][C]-0.031626[/C][C]-0.1924[/C][C]0.575748[/C][/ROW]
[ROW][C]31[/C][C]-0.002295[/C][C]-0.014[/C][C]0.505533[/C][/ROW]
[ROW][C]32[/C][C]-0.039331[/C][C]-0.2392[/C][C]0.59388[/C][/ROW]
[ROW][C]33[/C][C]-0.005072[/C][C]-0.0309[/C][C]0.512223[/C][/ROW]
[ROW][C]34[/C][C]-0.025084[/C][C]-0.1526[/C][C]0.560221[/C][/ROW]
[ROW][C]35[/C][C]-0.010092[/C][C]-0.0614[/C][C]0.524311[/C][/ROW]
[ROW][C]36[/C][C]-0.01249[/C][C]-0.076[/C][C]0.530075[/C][/ROW]
[ROW][C]37[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]38[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]39[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]40[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]41[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]42[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]43[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]44[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]45[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]46[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=2604&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2604&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
016.08280
10.2324051.41370.082909
20.3915852.38190.011239
30.3289192.00070.026399
40.1376070.8370.203975
50.1150170.69960.24427
60.0454950.27670.391761
7-0.219014-1.33220.904531
8-0.239125-1.45450.922886
9-0.21982-1.33710.905325
10-0.406818-2.47460.990976
11-0.273722-1.6650.947819
12-0.454395-2.7640.995576
13-0.23437-1.42560.918819
14-0.273877-1.66590.947914
15-0.085886-0.52240.697755
16-0.061068-0.37150.643794
17-0.014105-0.08580.533955
180.0573380.34880.364617
19-0.054463-0.33130.628851
200.1942871.18180.122412
210.1629090.99090.164077
220.0756230.460.324106
230.167381.01810.157613
240.0911490.55440.291308
250.0417080.25370.400565
260.1219950.74210.231365
270.007050.04290.483013
28-0.070866-0.43110.665538
290.0630530.38350.351759
30-0.031626-0.19240.575748
31-0.002295-0.0140.505533
32-0.039331-0.23920.59388
33-0.005072-0.03090.512223
34-0.025084-0.15260.560221
35-0.010092-0.06140.524311
36-0.01249-0.0760.530075
37NANANA
38NANANA
39NANANA
40NANANA
41NANANA
42NANANA
43NANANA
44NANANA
45NANANA
46NANANA
47NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.2324051.41370.082909
10.3568472.17060.018225
20.2270731.38120.087746
3-0.081898-0.49820.689343
4-0.107944-0.65660.742248
5-0.065682-0.39950.654099
6-0.30463-1.8530.964064
7-0.281535-1.71250.952414
8-0.038918-0.23670.592914
9-0.14218-0.86480.803652
10-0.022317-0.13580.553623
11-0.224058-1.36290.909422
120.091740.5580.290092
13-0.013481-0.0820.532457
140.1230270.74830.229492
150.0656150.39910.346049
16-0.046041-0.28010.609504
17-0.095627-0.58170.717844
18-0.426195-2.59240.993217
19-0.080022-0.48680.685347
200.0939390.57140.285589
21-0.118059-0.71810.761406
220.0510150.31030.379034
23-0.060754-0.36960.643089
240.0417620.2540.400441
25-0.084898-0.51640.695681
26-0.005544-0.03370.513361
27-0.043299-0.26340.603139
28-0.06308-0.38370.648302
29-0.013696-0.08330.532972
30-0.169403-1.03040.845253
31-0.098559-0.59950.723757
320.0446620.27170.393693
330.0299630.18230.428189
340.0533430.32450.373705
35-0.13894-0.84510.798268
36NANANA
37NANANA
38NANANA
39NANANA
40NANANA
41NANANA
42NANANA
43NANANA
44NANANA
45NANANA
46NANANA
47NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.232405 & 1.4137 & 0.082909 \tabularnewline
1 & 0.356847 & 2.1706 & 0.018225 \tabularnewline
2 & 0.227073 & 1.3812 & 0.087746 \tabularnewline
3 & -0.081898 & -0.4982 & 0.689343 \tabularnewline
4 & -0.107944 & -0.6566 & 0.742248 \tabularnewline
5 & -0.065682 & -0.3995 & 0.654099 \tabularnewline
6 & -0.30463 & -1.853 & 0.964064 \tabularnewline
7 & -0.281535 & -1.7125 & 0.952414 \tabularnewline
8 & -0.038918 & -0.2367 & 0.592914 \tabularnewline
9 & -0.14218 & -0.8648 & 0.803652 \tabularnewline
10 & -0.022317 & -0.1358 & 0.553623 \tabularnewline
11 & -0.224058 & -1.3629 & 0.909422 \tabularnewline
12 & 0.09174 & 0.558 & 0.290092 \tabularnewline
13 & -0.013481 & -0.082 & 0.532457 \tabularnewline
14 & 0.123027 & 0.7483 & 0.229492 \tabularnewline
15 & 0.065615 & 0.3991 & 0.346049 \tabularnewline
16 & -0.046041 & -0.2801 & 0.609504 \tabularnewline
17 & -0.095627 & -0.5817 & 0.717844 \tabularnewline
18 & -0.426195 & -2.5924 & 0.993217 \tabularnewline
19 & -0.080022 & -0.4868 & 0.685347 \tabularnewline
20 & 0.093939 & 0.5714 & 0.285589 \tabularnewline
21 & -0.118059 & -0.7181 & 0.761406 \tabularnewline
22 & 0.051015 & 0.3103 & 0.379034 \tabularnewline
23 & -0.060754 & -0.3696 & 0.643089 \tabularnewline
24 & 0.041762 & 0.254 & 0.400441 \tabularnewline
25 & -0.084898 & -0.5164 & 0.695681 \tabularnewline
26 & -0.005544 & -0.0337 & 0.513361 \tabularnewline
27 & -0.043299 & -0.2634 & 0.603139 \tabularnewline
28 & -0.06308 & -0.3837 & 0.648302 \tabularnewline
29 & -0.013696 & -0.0833 & 0.532972 \tabularnewline
30 & -0.169403 & -1.0304 & 0.845253 \tabularnewline
31 & -0.098559 & -0.5995 & 0.723757 \tabularnewline
32 & 0.044662 & 0.2717 & 0.393693 \tabularnewline
33 & 0.029963 & 0.1823 & 0.428189 \tabularnewline
34 & 0.053343 & 0.3245 & 0.373705 \tabularnewline
35 & -0.13894 & -0.8451 & 0.798268 \tabularnewline
36 & NA & NA & NA \tabularnewline
37 & NA & NA & NA \tabularnewline
38 & NA & NA & NA \tabularnewline
39 & NA & NA & NA \tabularnewline
40 & NA & NA & NA \tabularnewline
41 & NA & NA & NA \tabularnewline
42 & NA & NA & NA \tabularnewline
43 & NA & NA & NA \tabularnewline
44 & NA & NA & NA \tabularnewline
45 & NA & NA & NA \tabularnewline
46 & NA & NA & NA \tabularnewline
47 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2604&T=2

[TABLE]
[ROW][C]Partial Autocorrelation Function[/C][/ROW]
[ROW][C]Time lag k[/C][C]PACF(k)[/C][C]T-STAT[/C][C]P-value[/C][/ROW]
[ROW][C]0[/C][C]0.232405[/C][C]1.4137[/C][C]0.082909[/C][/ROW]
[ROW][C]1[/C][C]0.356847[/C][C]2.1706[/C][C]0.018225[/C][/ROW]
[ROW][C]2[/C][C]0.227073[/C][C]1.3812[/C][C]0.087746[/C][/ROW]
[ROW][C]3[/C][C]-0.081898[/C][C]-0.4982[/C][C]0.689343[/C][/ROW]
[ROW][C]4[/C][C]-0.107944[/C][C]-0.6566[/C][C]0.742248[/C][/ROW]
[ROW][C]5[/C][C]-0.065682[/C][C]-0.3995[/C][C]0.654099[/C][/ROW]
[ROW][C]6[/C][C]-0.30463[/C][C]-1.853[/C][C]0.964064[/C][/ROW]
[ROW][C]7[/C][C]-0.281535[/C][C]-1.7125[/C][C]0.952414[/C][/ROW]
[ROW][C]8[/C][C]-0.038918[/C][C]-0.2367[/C][C]0.592914[/C][/ROW]
[ROW][C]9[/C][C]-0.14218[/C][C]-0.8648[/C][C]0.803652[/C][/ROW]
[ROW][C]10[/C][C]-0.022317[/C][C]-0.1358[/C][C]0.553623[/C][/ROW]
[ROW][C]11[/C][C]-0.224058[/C][C]-1.3629[/C][C]0.909422[/C][/ROW]
[ROW][C]12[/C][C]0.09174[/C][C]0.558[/C][C]0.290092[/C][/ROW]
[ROW][C]13[/C][C]-0.013481[/C][C]-0.082[/C][C]0.532457[/C][/ROW]
[ROW][C]14[/C][C]0.123027[/C][C]0.7483[/C][C]0.229492[/C][/ROW]
[ROW][C]15[/C][C]0.065615[/C][C]0.3991[/C][C]0.346049[/C][/ROW]
[ROW][C]16[/C][C]-0.046041[/C][C]-0.2801[/C][C]0.609504[/C][/ROW]
[ROW][C]17[/C][C]-0.095627[/C][C]-0.5817[/C][C]0.717844[/C][/ROW]
[ROW][C]18[/C][C]-0.426195[/C][C]-2.5924[/C][C]0.993217[/C][/ROW]
[ROW][C]19[/C][C]-0.080022[/C][C]-0.4868[/C][C]0.685347[/C][/ROW]
[ROW][C]20[/C][C]0.093939[/C][C]0.5714[/C][C]0.285589[/C][/ROW]
[ROW][C]21[/C][C]-0.118059[/C][C]-0.7181[/C][C]0.761406[/C][/ROW]
[ROW][C]22[/C][C]0.051015[/C][C]0.3103[/C][C]0.379034[/C][/ROW]
[ROW][C]23[/C][C]-0.060754[/C][C]-0.3696[/C][C]0.643089[/C][/ROW]
[ROW][C]24[/C][C]0.041762[/C][C]0.254[/C][C]0.400441[/C][/ROW]
[ROW][C]25[/C][C]-0.084898[/C][C]-0.5164[/C][C]0.695681[/C][/ROW]
[ROW][C]26[/C][C]-0.005544[/C][C]-0.0337[/C][C]0.513361[/C][/ROW]
[ROW][C]27[/C][C]-0.043299[/C][C]-0.2634[/C][C]0.603139[/C][/ROW]
[ROW][C]28[/C][C]-0.06308[/C][C]-0.3837[/C][C]0.648302[/C][/ROW]
[ROW][C]29[/C][C]-0.013696[/C][C]-0.0833[/C][C]0.532972[/C][/ROW]
[ROW][C]30[/C][C]-0.169403[/C][C]-1.0304[/C][C]0.845253[/C][/ROW]
[ROW][C]31[/C][C]-0.098559[/C][C]-0.5995[/C][C]0.723757[/C][/ROW]
[ROW][C]32[/C][C]0.044662[/C][C]0.2717[/C][C]0.393693[/C][/ROW]
[ROW][C]33[/C][C]0.029963[/C][C]0.1823[/C][C]0.428189[/C][/ROW]
[ROW][C]34[/C][C]0.053343[/C][C]0.3245[/C][C]0.373705[/C][/ROW]
[ROW][C]35[/C][C]-0.13894[/C][C]-0.8451[/C][C]0.798268[/C][/ROW]
[ROW][C]36[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]37[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]38[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]39[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]40[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]41[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]42[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]43[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]44[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]45[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]46[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=2604&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2604&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
00.2324051.41370.082909
10.3568472.17060.018225
20.2270731.38120.087746
3-0.081898-0.49820.689343
4-0.107944-0.65660.742248
5-0.065682-0.39950.654099
6-0.30463-1.8530.964064
7-0.281535-1.71250.952414
8-0.038918-0.23670.592914
9-0.14218-0.86480.803652
10-0.022317-0.13580.553623
11-0.224058-1.36290.909422
120.091740.5580.290092
13-0.013481-0.0820.532457
140.1230270.74830.229492
150.0656150.39910.346049
16-0.046041-0.28010.609504
17-0.095627-0.58170.717844
18-0.426195-2.59240.993217
19-0.080022-0.48680.685347
200.0939390.57140.285589
21-0.118059-0.71810.761406
220.0510150.31030.379034
23-0.060754-0.36960.643089
240.0417620.2540.400441
25-0.084898-0.51640.695681
26-0.005544-0.03370.513361
27-0.043299-0.26340.603139
28-0.06308-0.38370.648302
29-0.013696-0.08330.532972
30-0.169403-1.03040.845253
31-0.098559-0.59950.723757
320.0446620.27170.393693
330.0299630.18230.428189
340.0533430.32450.373705
35-0.13894-0.84510.798268
36NANANA
37NANANA
38NANANA
39NANANA
40NANANA
41NANANA
42NANANA
43NANANA
44NANANA
45NANANA
46NANANA
47NANANA



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 1 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 0 ; 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 1:par1) {
a<-table.row.start(a)
a<-table.element(a,i-1,header=TRUE)
a<-table.element(a,round(myacf[i],6))
mytstat <- myacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(mytstat,lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Partial Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','PACF(k)','click here for more information about the Partial Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:par1) {
a<-table.row.start(a)
a<-table.element(a,i-1,header=TRUE)
a<-table.element(a,round(mypacf[i],6))
mytstat <- mypacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(mytstat,lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')