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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationSun, 14 Nov 2010 22:49:48 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Nov/14/t12897749214c5igxuvodicjhb.htm/, Retrieved Sun, 06 Oct 2024 08:22:02 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=94676, Retrieved Sun, 06 Oct 2024 08:22:02 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP2W12
Estimated Impact160
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [] [2010-11-14 22:49:48] [5cd570406d143ae5f29e48ad26074e87] [Current]
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Dataseries X:
1,35
1,91
1,31
1,19
1,3
1,14
1,1
1,02
1,11
1,18
1,24
1,36
1,29
1,73
1,41
1,15
1,31
1,15
1,08
1,1
1,14
1,24
1,33
1,49
1,38
1,96
1,36
1,24
1,35
1,23
1,09
1,08
1,33
1,35
1,38
1,5
1,47
2,09
1,52
1,29
1,52
1,27
1,35
1,29
1,41
1,39
1,45
1,53
1,45
2,11
1,53
1,38
1,54
1,35
1,29
1,33
1,47
1,47
1,54
1,59
1,5
2
1,51
1,4
1,62
1,44
1,29
1,28
1,4
1,39
1,46
1,49




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=94676&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=94676&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=94676&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
10.3694313.13470.001245
20.2505962.12640.01845
30.2496952.11870.018782
4-0.03346-0.28390.388644
5-0.145623-1.23560.110303
6-0.276369-2.34510.010892
7-0.147691-1.25320.107094
8-0.077377-0.65660.256777
90.1713391.45390.075165
100.1824411.54810.062995
110.2596932.20360.015377
120.7530426.38980
130.255582.16870.016706
140.1382771.17330.122268
150.140581.19290.11842
16-0.11355-0.96350.169259
17-0.223106-1.89310.031181
18-0.315141-2.67410.004634
19-0.193613-1.64290.052386
20-0.141623-1.20170.116707
210.0665620.56480.286985
220.0669960.56850.285739
230.130591.10810.135754
240.5267434.46961.4e-05
250.097260.82530.205969
260.0364590.30940.378968
270.0288140.24450.403772
28-0.154056-1.30720.097651
29-0.2635-2.23590.01423
30-0.338655-2.87360.002665
31-0.231615-1.96530.026618
32-0.186052-1.57870.059394
33-0.04627-0.39260.347882
34-0.046227-0.39230.348016
350.0094950.08060.468005
360.3017652.56060.006274
370.0041540.03520.48599
38-0.03847-0.32640.372524
39-0.019325-0.1640.435103
40-0.161346-1.36910.087618
41-0.209652-1.7790.039734
42-0.237578-2.01590.023771
43-0.175459-1.48880.070451
44-0.161756-1.37250.087077
45-0.051868-0.44010.330588
46-0.051171-0.43420.33272
47-0.020467-0.17370.431308
480.1601461.35890.089213

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.369431 & 3.1347 & 0.001245 \tabularnewline
2 & 0.250596 & 2.1264 & 0.01845 \tabularnewline
3 & 0.249695 & 2.1187 & 0.018782 \tabularnewline
4 & -0.03346 & -0.2839 & 0.388644 \tabularnewline
5 & -0.145623 & -1.2356 & 0.110303 \tabularnewline
6 & -0.276369 & -2.3451 & 0.010892 \tabularnewline
7 & -0.147691 & -1.2532 & 0.107094 \tabularnewline
8 & -0.077377 & -0.6566 & 0.256777 \tabularnewline
9 & 0.171339 & 1.4539 & 0.075165 \tabularnewline
10 & 0.182441 & 1.5481 & 0.062995 \tabularnewline
11 & 0.259693 & 2.2036 & 0.015377 \tabularnewline
12 & 0.753042 & 6.3898 & 0 \tabularnewline
13 & 0.25558 & 2.1687 & 0.016706 \tabularnewline
14 & 0.138277 & 1.1733 & 0.122268 \tabularnewline
15 & 0.14058 & 1.1929 & 0.11842 \tabularnewline
16 & -0.11355 & -0.9635 & 0.169259 \tabularnewline
17 & -0.223106 & -1.8931 & 0.031181 \tabularnewline
18 & -0.315141 & -2.6741 & 0.004634 \tabularnewline
19 & -0.193613 & -1.6429 & 0.052386 \tabularnewline
20 & -0.141623 & -1.2017 & 0.116707 \tabularnewline
21 & 0.066562 & 0.5648 & 0.286985 \tabularnewline
22 & 0.066996 & 0.5685 & 0.285739 \tabularnewline
23 & 0.13059 & 1.1081 & 0.135754 \tabularnewline
24 & 0.526743 & 4.4696 & 1.4e-05 \tabularnewline
25 & 0.09726 & 0.8253 & 0.205969 \tabularnewline
26 & 0.036459 & 0.3094 & 0.378968 \tabularnewline
27 & 0.028814 & 0.2445 & 0.403772 \tabularnewline
28 & -0.154056 & -1.3072 & 0.097651 \tabularnewline
29 & -0.2635 & -2.2359 & 0.01423 \tabularnewline
30 & -0.338655 & -2.8736 & 0.002665 \tabularnewline
31 & -0.231615 & -1.9653 & 0.026618 \tabularnewline
32 & -0.186052 & -1.5787 & 0.059394 \tabularnewline
33 & -0.04627 & -0.3926 & 0.347882 \tabularnewline
34 & -0.046227 & -0.3923 & 0.348016 \tabularnewline
35 & 0.009495 & 0.0806 & 0.468005 \tabularnewline
36 & 0.301765 & 2.5606 & 0.006274 \tabularnewline
37 & 0.004154 & 0.0352 & 0.48599 \tabularnewline
38 & -0.03847 & -0.3264 & 0.372524 \tabularnewline
39 & -0.019325 & -0.164 & 0.435103 \tabularnewline
40 & -0.161346 & -1.3691 & 0.087618 \tabularnewline
41 & -0.209652 & -1.779 & 0.039734 \tabularnewline
42 & -0.237578 & -2.0159 & 0.023771 \tabularnewline
43 & -0.175459 & -1.4888 & 0.070451 \tabularnewline
44 & -0.161756 & -1.3725 & 0.087077 \tabularnewline
45 & -0.051868 & -0.4401 & 0.330588 \tabularnewline
46 & -0.051171 & -0.4342 & 0.33272 \tabularnewline
47 & -0.020467 & -0.1737 & 0.431308 \tabularnewline
48 & 0.160146 & 1.3589 & 0.089213 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=94676&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]0.369431[/C][C]3.1347[/C][C]0.001245[/C][/ROW]
[ROW][C]2[/C][C]0.250596[/C][C]2.1264[/C][C]0.01845[/C][/ROW]
[ROW][C]3[/C][C]0.249695[/C][C]2.1187[/C][C]0.018782[/C][/ROW]
[ROW][C]4[/C][C]-0.03346[/C][C]-0.2839[/C][C]0.388644[/C][/ROW]
[ROW][C]5[/C][C]-0.145623[/C][C]-1.2356[/C][C]0.110303[/C][/ROW]
[ROW][C]6[/C][C]-0.276369[/C][C]-2.3451[/C][C]0.010892[/C][/ROW]
[ROW][C]7[/C][C]-0.147691[/C][C]-1.2532[/C][C]0.107094[/C][/ROW]
[ROW][C]8[/C][C]-0.077377[/C][C]-0.6566[/C][C]0.256777[/C][/ROW]
[ROW][C]9[/C][C]0.171339[/C][C]1.4539[/C][C]0.075165[/C][/ROW]
[ROW][C]10[/C][C]0.182441[/C][C]1.5481[/C][C]0.062995[/C][/ROW]
[ROW][C]11[/C][C]0.259693[/C][C]2.2036[/C][C]0.015377[/C][/ROW]
[ROW][C]12[/C][C]0.753042[/C][C]6.3898[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.25558[/C][C]2.1687[/C][C]0.016706[/C][/ROW]
[ROW][C]14[/C][C]0.138277[/C][C]1.1733[/C][C]0.122268[/C][/ROW]
[ROW][C]15[/C][C]0.14058[/C][C]1.1929[/C][C]0.11842[/C][/ROW]
[ROW][C]16[/C][C]-0.11355[/C][C]-0.9635[/C][C]0.169259[/C][/ROW]
[ROW][C]17[/C][C]-0.223106[/C][C]-1.8931[/C][C]0.031181[/C][/ROW]
[ROW][C]18[/C][C]-0.315141[/C][C]-2.6741[/C][C]0.004634[/C][/ROW]
[ROW][C]19[/C][C]-0.193613[/C][C]-1.6429[/C][C]0.052386[/C][/ROW]
[ROW][C]20[/C][C]-0.141623[/C][C]-1.2017[/C][C]0.116707[/C][/ROW]
[ROW][C]21[/C][C]0.066562[/C][C]0.5648[/C][C]0.286985[/C][/ROW]
[ROW][C]22[/C][C]0.066996[/C][C]0.5685[/C][C]0.285739[/C][/ROW]
[ROW][C]23[/C][C]0.13059[/C][C]1.1081[/C][C]0.135754[/C][/ROW]
[ROW][C]24[/C][C]0.526743[/C][C]4.4696[/C][C]1.4e-05[/C][/ROW]
[ROW][C]25[/C][C]0.09726[/C][C]0.8253[/C][C]0.205969[/C][/ROW]
[ROW][C]26[/C][C]0.036459[/C][C]0.3094[/C][C]0.378968[/C][/ROW]
[ROW][C]27[/C][C]0.028814[/C][C]0.2445[/C][C]0.403772[/C][/ROW]
[ROW][C]28[/C][C]-0.154056[/C][C]-1.3072[/C][C]0.097651[/C][/ROW]
[ROW][C]29[/C][C]-0.2635[/C][C]-2.2359[/C][C]0.01423[/C][/ROW]
[ROW][C]30[/C][C]-0.338655[/C][C]-2.8736[/C][C]0.002665[/C][/ROW]
[ROW][C]31[/C][C]-0.231615[/C][C]-1.9653[/C][C]0.026618[/C][/ROW]
[ROW][C]32[/C][C]-0.186052[/C][C]-1.5787[/C][C]0.059394[/C][/ROW]
[ROW][C]33[/C][C]-0.04627[/C][C]-0.3926[/C][C]0.347882[/C][/ROW]
[ROW][C]34[/C][C]-0.046227[/C][C]-0.3923[/C][C]0.348016[/C][/ROW]
[ROW][C]35[/C][C]0.009495[/C][C]0.0806[/C][C]0.468005[/C][/ROW]
[ROW][C]36[/C][C]0.301765[/C][C]2.5606[/C][C]0.006274[/C][/ROW]
[ROW][C]37[/C][C]0.004154[/C][C]0.0352[/C][C]0.48599[/C][/ROW]
[ROW][C]38[/C][C]-0.03847[/C][C]-0.3264[/C][C]0.372524[/C][/ROW]
[ROW][C]39[/C][C]-0.019325[/C][C]-0.164[/C][C]0.435103[/C][/ROW]
[ROW][C]40[/C][C]-0.161346[/C][C]-1.3691[/C][C]0.087618[/C][/ROW]
[ROW][C]41[/C][C]-0.209652[/C][C]-1.779[/C][C]0.039734[/C][/ROW]
[ROW][C]42[/C][C]-0.237578[/C][C]-2.0159[/C][C]0.023771[/C][/ROW]
[ROW][C]43[/C][C]-0.175459[/C][C]-1.4888[/C][C]0.070451[/C][/ROW]
[ROW][C]44[/C][C]-0.161756[/C][C]-1.3725[/C][C]0.087077[/C][/ROW]
[ROW][C]45[/C][C]-0.051868[/C][C]-0.4401[/C][C]0.330588[/C][/ROW]
[ROW][C]46[/C][C]-0.051171[/C][C]-0.4342[/C][C]0.33272[/C][/ROW]
[ROW][C]47[/C][C]-0.020467[/C][C]-0.1737[/C][C]0.431308[/C][/ROW]
[ROW][C]48[/C][C]0.160146[/C][C]1.3589[/C][C]0.089213[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=94676&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=94676&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
10.3694313.13470.001245
20.2505962.12640.01845
30.2496952.11870.018782
4-0.03346-0.28390.388644
5-0.145623-1.23560.110303
6-0.276369-2.34510.010892
7-0.147691-1.25320.107094
8-0.077377-0.65660.256777
90.1713391.45390.075165
100.1824411.54810.062995
110.2596932.20360.015377
120.7530426.38980
130.255582.16870.016706
140.1382771.17330.122268
150.140581.19290.11842
16-0.11355-0.96350.169259
17-0.223106-1.89310.031181
18-0.315141-2.67410.004634
19-0.193613-1.64290.052386
20-0.141623-1.20170.116707
210.0665620.56480.286985
220.0669960.56850.285739
230.130591.10810.135754
240.5267434.46961.4e-05
250.097260.82530.205969
260.0364590.30940.378968
270.0288140.24450.403772
28-0.154056-1.30720.097651
29-0.2635-2.23590.01423
30-0.338655-2.87360.002665
31-0.231615-1.96530.026618
32-0.186052-1.57870.059394
33-0.04627-0.39260.347882
34-0.046227-0.39230.348016
350.0094950.08060.468005
360.3017652.56060.006274
370.0041540.03520.48599
38-0.03847-0.32640.372524
39-0.019325-0.1640.435103
40-0.161346-1.36910.087618
41-0.209652-1.7790.039734
42-0.237578-2.01590.023771
43-0.175459-1.48880.070451
44-0.161756-1.37250.087077
45-0.051868-0.44010.330588
46-0.051171-0.43420.33272
47-0.020467-0.17370.431308
480.1601461.35890.089213







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.3694313.13470.001245
20.1321531.12140.132931
30.1420611.20540.115993
4-0.220147-1.8680.032915
5-0.1666-1.41360.080887
6-0.236851-2.00970.024103
70.1266221.07440.143111
80.1147680.97380.166698
90.393643.34010.000665
100.0104620.08880.464753
110.0600520.50960.305959
120.6229055.28551e-06
13-0.332285-2.81950.003104
14-0.171402-1.45440.075092
15-0.14737-1.25050.107588
16-0.03641-0.3090.379126
17-0.009392-0.07970.468351
180.0462810.39270.347847
19-0.028474-0.24160.404883
20-0.021938-0.18620.426425
21-0.08517-0.72270.236106
22-0.127107-1.07850.142197
23-0.02674-0.22690.410573
240.0166440.14120.444043
25-0.111404-0.94530.173836
260.0891180.75620.226001
27-0.065705-0.55750.28945
280.1033210.87670.19178
29-0.060703-0.51510.304037
30-0.060425-0.51270.304858
31-0.122366-1.03830.151301
320.0212130.180.428831
33-0.15701-1.33230.093485
340.0191640.16260.435641
35-0.056973-0.48340.315128
36-0.092051-0.78110.218658
370.1335411.13310.130458
38-0.04768-0.40460.343494
390.0406340.34480.365629
40-0.079551-0.6750.250916
410.1084220.920.180325
420.1198581.0170.156272
430.0223110.18930.425189
44-0.13944-1.18320.120314
450.0175760.14910.440933
460.0432710.36720.357285
47-0.013431-0.1140.45479
48-0.100453-0.85240.198417

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.369431 & 3.1347 & 0.001245 \tabularnewline
2 & 0.132153 & 1.1214 & 0.132931 \tabularnewline
3 & 0.142061 & 1.2054 & 0.115993 \tabularnewline
4 & -0.220147 & -1.868 & 0.032915 \tabularnewline
5 & -0.1666 & -1.4136 & 0.080887 \tabularnewline
6 & -0.236851 & -2.0097 & 0.024103 \tabularnewline
7 & 0.126622 & 1.0744 & 0.143111 \tabularnewline
8 & 0.114768 & 0.9738 & 0.166698 \tabularnewline
9 & 0.39364 & 3.3401 & 0.000665 \tabularnewline
10 & 0.010462 & 0.0888 & 0.464753 \tabularnewline
11 & 0.060052 & 0.5096 & 0.305959 \tabularnewline
12 & 0.622905 & 5.2855 & 1e-06 \tabularnewline
13 & -0.332285 & -2.8195 & 0.003104 \tabularnewline
14 & -0.171402 & -1.4544 & 0.075092 \tabularnewline
15 & -0.14737 & -1.2505 & 0.107588 \tabularnewline
16 & -0.03641 & -0.309 & 0.379126 \tabularnewline
17 & -0.009392 & -0.0797 & 0.468351 \tabularnewline
18 & 0.046281 & 0.3927 & 0.347847 \tabularnewline
19 & -0.028474 & -0.2416 & 0.404883 \tabularnewline
20 & -0.021938 & -0.1862 & 0.426425 \tabularnewline
21 & -0.08517 & -0.7227 & 0.236106 \tabularnewline
22 & -0.127107 & -1.0785 & 0.142197 \tabularnewline
23 & -0.02674 & -0.2269 & 0.410573 \tabularnewline
24 & 0.016644 & 0.1412 & 0.444043 \tabularnewline
25 & -0.111404 & -0.9453 & 0.173836 \tabularnewline
26 & 0.089118 & 0.7562 & 0.226001 \tabularnewline
27 & -0.065705 & -0.5575 & 0.28945 \tabularnewline
28 & 0.103321 & 0.8767 & 0.19178 \tabularnewline
29 & -0.060703 & -0.5151 & 0.304037 \tabularnewline
30 & -0.060425 & -0.5127 & 0.304858 \tabularnewline
31 & -0.122366 & -1.0383 & 0.151301 \tabularnewline
32 & 0.021213 & 0.18 & 0.428831 \tabularnewline
33 & -0.15701 & -1.3323 & 0.093485 \tabularnewline
34 & 0.019164 & 0.1626 & 0.435641 \tabularnewline
35 & -0.056973 & -0.4834 & 0.315128 \tabularnewline
36 & -0.092051 & -0.7811 & 0.218658 \tabularnewline
37 & 0.133541 & 1.1331 & 0.130458 \tabularnewline
38 & -0.04768 & -0.4046 & 0.343494 \tabularnewline
39 & 0.040634 & 0.3448 & 0.365629 \tabularnewline
40 & -0.079551 & -0.675 & 0.250916 \tabularnewline
41 & 0.108422 & 0.92 & 0.180325 \tabularnewline
42 & 0.119858 & 1.017 & 0.156272 \tabularnewline
43 & 0.022311 & 0.1893 & 0.425189 \tabularnewline
44 & -0.13944 & -1.1832 & 0.120314 \tabularnewline
45 & 0.017576 & 0.1491 & 0.440933 \tabularnewline
46 & 0.043271 & 0.3672 & 0.357285 \tabularnewline
47 & -0.013431 & -0.114 & 0.45479 \tabularnewline
48 & -0.100453 & -0.8524 & 0.198417 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=94676&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]0.369431[/C][C]3.1347[/C][C]0.001245[/C][/ROW]
[ROW][C]2[/C][C]0.132153[/C][C]1.1214[/C][C]0.132931[/C][/ROW]
[ROW][C]3[/C][C]0.142061[/C][C]1.2054[/C][C]0.115993[/C][/ROW]
[ROW][C]4[/C][C]-0.220147[/C][C]-1.868[/C][C]0.032915[/C][/ROW]
[ROW][C]5[/C][C]-0.1666[/C][C]-1.4136[/C][C]0.080887[/C][/ROW]
[ROW][C]6[/C][C]-0.236851[/C][C]-2.0097[/C][C]0.024103[/C][/ROW]
[ROW][C]7[/C][C]0.126622[/C][C]1.0744[/C][C]0.143111[/C][/ROW]
[ROW][C]8[/C][C]0.114768[/C][C]0.9738[/C][C]0.166698[/C][/ROW]
[ROW][C]9[/C][C]0.39364[/C][C]3.3401[/C][C]0.000665[/C][/ROW]
[ROW][C]10[/C][C]0.010462[/C][C]0.0888[/C][C]0.464753[/C][/ROW]
[ROW][C]11[/C][C]0.060052[/C][C]0.5096[/C][C]0.305959[/C][/ROW]
[ROW][C]12[/C][C]0.622905[/C][C]5.2855[/C][C]1e-06[/C][/ROW]
[ROW][C]13[/C][C]-0.332285[/C][C]-2.8195[/C][C]0.003104[/C][/ROW]
[ROW][C]14[/C][C]-0.171402[/C][C]-1.4544[/C][C]0.075092[/C][/ROW]
[ROW][C]15[/C][C]-0.14737[/C][C]-1.2505[/C][C]0.107588[/C][/ROW]
[ROW][C]16[/C][C]-0.03641[/C][C]-0.309[/C][C]0.379126[/C][/ROW]
[ROW][C]17[/C][C]-0.009392[/C][C]-0.0797[/C][C]0.468351[/C][/ROW]
[ROW][C]18[/C][C]0.046281[/C][C]0.3927[/C][C]0.347847[/C][/ROW]
[ROW][C]19[/C][C]-0.028474[/C][C]-0.2416[/C][C]0.404883[/C][/ROW]
[ROW][C]20[/C][C]-0.021938[/C][C]-0.1862[/C][C]0.426425[/C][/ROW]
[ROW][C]21[/C][C]-0.08517[/C][C]-0.7227[/C][C]0.236106[/C][/ROW]
[ROW][C]22[/C][C]-0.127107[/C][C]-1.0785[/C][C]0.142197[/C][/ROW]
[ROW][C]23[/C][C]-0.02674[/C][C]-0.2269[/C][C]0.410573[/C][/ROW]
[ROW][C]24[/C][C]0.016644[/C][C]0.1412[/C][C]0.444043[/C][/ROW]
[ROW][C]25[/C][C]-0.111404[/C][C]-0.9453[/C][C]0.173836[/C][/ROW]
[ROW][C]26[/C][C]0.089118[/C][C]0.7562[/C][C]0.226001[/C][/ROW]
[ROW][C]27[/C][C]-0.065705[/C][C]-0.5575[/C][C]0.28945[/C][/ROW]
[ROW][C]28[/C][C]0.103321[/C][C]0.8767[/C][C]0.19178[/C][/ROW]
[ROW][C]29[/C][C]-0.060703[/C][C]-0.5151[/C][C]0.304037[/C][/ROW]
[ROW][C]30[/C][C]-0.060425[/C][C]-0.5127[/C][C]0.304858[/C][/ROW]
[ROW][C]31[/C][C]-0.122366[/C][C]-1.0383[/C][C]0.151301[/C][/ROW]
[ROW][C]32[/C][C]0.021213[/C][C]0.18[/C][C]0.428831[/C][/ROW]
[ROW][C]33[/C][C]-0.15701[/C][C]-1.3323[/C][C]0.093485[/C][/ROW]
[ROW][C]34[/C][C]0.019164[/C][C]0.1626[/C][C]0.435641[/C][/ROW]
[ROW][C]35[/C][C]-0.056973[/C][C]-0.4834[/C][C]0.315128[/C][/ROW]
[ROW][C]36[/C][C]-0.092051[/C][C]-0.7811[/C][C]0.218658[/C][/ROW]
[ROW][C]37[/C][C]0.133541[/C][C]1.1331[/C][C]0.130458[/C][/ROW]
[ROW][C]38[/C][C]-0.04768[/C][C]-0.4046[/C][C]0.343494[/C][/ROW]
[ROW][C]39[/C][C]0.040634[/C][C]0.3448[/C][C]0.365629[/C][/ROW]
[ROW][C]40[/C][C]-0.079551[/C][C]-0.675[/C][C]0.250916[/C][/ROW]
[ROW][C]41[/C][C]0.108422[/C][C]0.92[/C][C]0.180325[/C][/ROW]
[ROW][C]42[/C][C]0.119858[/C][C]1.017[/C][C]0.156272[/C][/ROW]
[ROW][C]43[/C][C]0.022311[/C][C]0.1893[/C][C]0.425189[/C][/ROW]
[ROW][C]44[/C][C]-0.13944[/C][C]-1.1832[/C][C]0.120314[/C][/ROW]
[ROW][C]45[/C][C]0.017576[/C][C]0.1491[/C][C]0.440933[/C][/ROW]
[ROW][C]46[/C][C]0.043271[/C][C]0.3672[/C][C]0.357285[/C][/ROW]
[ROW][C]47[/C][C]-0.013431[/C][C]-0.114[/C][C]0.45479[/C][/ROW]
[ROW][C]48[/C][C]-0.100453[/C][C]-0.8524[/C][C]0.198417[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=94676&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=94676&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
10.3694313.13470.001245
20.1321531.12140.132931
30.1420611.20540.115993
4-0.220147-1.8680.032915
5-0.1666-1.41360.080887
6-0.236851-2.00970.024103
70.1266221.07440.143111
80.1147680.97380.166698
90.393643.34010.000665
100.0104620.08880.464753
110.0600520.50960.305959
120.6229055.28551e-06
13-0.332285-2.81950.003104
14-0.171402-1.45440.075092
15-0.14737-1.25050.107588
16-0.03641-0.3090.379126
17-0.009392-0.07970.468351
180.0462810.39270.347847
19-0.028474-0.24160.404883
20-0.021938-0.18620.426425
21-0.08517-0.72270.236106
22-0.127107-1.07850.142197
23-0.02674-0.22690.410573
240.0166440.14120.444043
25-0.111404-0.94530.173836
260.0891180.75620.226001
27-0.065705-0.55750.28945
280.1033210.87670.19178
29-0.060703-0.51510.304037
30-0.060425-0.51270.304858
31-0.122366-1.03830.151301
320.0212130.180.428831
33-0.15701-1.33230.093485
340.0191640.16260.435641
35-0.056973-0.48340.315128
36-0.092051-0.78110.218658
370.1335411.13310.130458
38-0.04768-0.40460.343494
390.0406340.34480.365629
40-0.079551-0.6750.250916
410.1084220.920.180325
420.1198581.0170.156272
430.0223110.18930.425189
44-0.13944-1.18320.120314
450.0175760.14910.440933
460.0432710.36720.357285
47-0.013431-0.1140.45479
48-0.100453-0.85240.198417



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; 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')