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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationThu, 14 May 2009 04:04:28 -0600
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/May/14/t12422955173jh7niwj0grx7y3.htm/, Retrieved Sun, 28 Apr 2024 21:01:53 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=39966, Retrieved Sun, 28 Apr 2024 21:01:53 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact135
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Opgave 6 BIS Oefe...] [2009-05-14 10:04:28] [be8f2ceb4bab9280e3447d0ad1b6c819] [Current]
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Dataseries X:
3,27
3,27
3,27
3,27
3,27
3,28
3,32
3,34
3,34
3,35
3,35
3,35
3,35
3,35
3,4
3,42
3,42
3,42
3,42
3,42
3,42
3,42
3,42
3,42
3,42
3,42
3,43
3,47
3,51
3,52
3,52
3,52
3,52
3,52
3,52
3,52
3,52
3,52
3,58
3,6
3,61
3,61
3,61
3,63
3,68
3,69
3,69
3,69
3,69
3,69
3,69
3,69
3,69
3,78
3,79
3,79
3,8
3,8
3,8
3,8
3,81
3,95
3,99
4
4,06
4,16
4,19
4,2
4,2
4,2
4,2
4,2
4,23
4,38
4,43
4,44
4,44
4,44
4,44
4,44
4,45
4,45
4,45
4,45
4,45
4,45
4,45
4,45
4,46
4,46
4,46
4,48
4,58
4,67
4,68
4,68
4,69
4,69
4,69
4,69
4,69
4,69
4,69
4,73
4,78
4,79
4,79
4,8
4,8
4,81
5,16
5,26
5,29
5,29
5,29
5,3
5,3
5,3
5,3
5,3
5,3
5,3
5,3
5,35
5,44
5,47
5,47
5,48
5,48
5,48
5,48




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=39966&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=39966&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39966&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
10.97824411.19650
20.95490410.92940
30.93109610.65690
40.90694210.38040
50.88264910.10240
60.8581989.82250
70.8344939.55120
80.8123959.29830
90.7906599.04950
100.768628.79730
110.7462978.54180
120.7234668.28050
130.6998198.00980
140.6754387.73070
150.6510147.45120
160.626497.17050
170.601956.88960
180.5765946.59940
190.5502656.29810
200.523745.99450
210.4985075.70570
220.4800575.49450
230.4615425.28260
240.4427485.06751e-06
250.4239964.85292e-06
260.4050964.63654e-06
270.3862794.42121e-05
280.3686524.21942.3e-05
290.3520524.02944.7e-05
300.3352183.83679.7e-05
310.3178413.63790.000197
320.2997453.43070.000403
330.2810873.21720.000816
340.2621453.00040.001614
350.2429342.78050.003114
360.2235642.55880.00582
370.2037112.33160.010625
380.1829582.0940.019092
390.1641811.87910.031224
400.1472151.68490.04719
410.1305621.49430.068745
420.1138321.30290.097453
430.0969221.10930.134661
440.0802750.91880.179948
450.0640250.73280.232494
460.0471670.53980.29511
470.0295710.33850.367779
480.011490.13150.447788

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.978244 & 11.1965 & 0 \tabularnewline
2 & 0.954904 & 10.9294 & 0 \tabularnewline
3 & 0.931096 & 10.6569 & 0 \tabularnewline
4 & 0.906942 & 10.3804 & 0 \tabularnewline
5 & 0.882649 & 10.1024 & 0 \tabularnewline
6 & 0.858198 & 9.8225 & 0 \tabularnewline
7 & 0.834493 & 9.5512 & 0 \tabularnewline
8 & 0.812395 & 9.2983 & 0 \tabularnewline
9 & 0.790659 & 9.0495 & 0 \tabularnewline
10 & 0.76862 & 8.7973 & 0 \tabularnewline
11 & 0.746297 & 8.5418 & 0 \tabularnewline
12 & 0.723466 & 8.2805 & 0 \tabularnewline
13 & 0.699819 & 8.0098 & 0 \tabularnewline
14 & 0.675438 & 7.7307 & 0 \tabularnewline
15 & 0.651014 & 7.4512 & 0 \tabularnewline
16 & 0.62649 & 7.1705 & 0 \tabularnewline
17 & 0.60195 & 6.8896 & 0 \tabularnewline
18 & 0.576594 & 6.5994 & 0 \tabularnewline
19 & 0.550265 & 6.2981 & 0 \tabularnewline
20 & 0.52374 & 5.9945 & 0 \tabularnewline
21 & 0.498507 & 5.7057 & 0 \tabularnewline
22 & 0.480057 & 5.4945 & 0 \tabularnewline
23 & 0.461542 & 5.2826 & 0 \tabularnewline
24 & 0.442748 & 5.0675 & 1e-06 \tabularnewline
25 & 0.423996 & 4.8529 & 2e-06 \tabularnewline
26 & 0.405096 & 4.6365 & 4e-06 \tabularnewline
27 & 0.386279 & 4.4212 & 1e-05 \tabularnewline
28 & 0.368652 & 4.2194 & 2.3e-05 \tabularnewline
29 & 0.352052 & 4.0294 & 4.7e-05 \tabularnewline
30 & 0.335218 & 3.8367 & 9.7e-05 \tabularnewline
31 & 0.317841 & 3.6379 & 0.000197 \tabularnewline
32 & 0.299745 & 3.4307 & 0.000403 \tabularnewline
33 & 0.281087 & 3.2172 & 0.000816 \tabularnewline
34 & 0.262145 & 3.0004 & 0.001614 \tabularnewline
35 & 0.242934 & 2.7805 & 0.003114 \tabularnewline
36 & 0.223564 & 2.5588 & 0.00582 \tabularnewline
37 & 0.203711 & 2.3316 & 0.010625 \tabularnewline
38 & 0.182958 & 2.094 & 0.019092 \tabularnewline
39 & 0.164181 & 1.8791 & 0.031224 \tabularnewline
40 & 0.147215 & 1.6849 & 0.04719 \tabularnewline
41 & 0.130562 & 1.4943 & 0.068745 \tabularnewline
42 & 0.113832 & 1.3029 & 0.097453 \tabularnewline
43 & 0.096922 & 1.1093 & 0.134661 \tabularnewline
44 & 0.080275 & 0.9188 & 0.179948 \tabularnewline
45 & 0.064025 & 0.7328 & 0.232494 \tabularnewline
46 & 0.047167 & 0.5398 & 0.29511 \tabularnewline
47 & 0.029571 & 0.3385 & 0.367779 \tabularnewline
48 & 0.01149 & 0.1315 & 0.447788 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39966&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]0.978244[/C][C]11.1965[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.954904[/C][C]10.9294[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.931096[/C][C]10.6569[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.906942[/C][C]10.3804[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.882649[/C][C]10.1024[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.858198[/C][C]9.8225[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.834493[/C][C]9.5512[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.812395[/C][C]9.2983[/C][C]0[/C][/ROW]
[ROW][C]9[/C][C]0.790659[/C][C]9.0495[/C][C]0[/C][/ROW]
[ROW][C]10[/C][C]0.76862[/C][C]8.7973[/C][C]0[/C][/ROW]
[ROW][C]11[/C][C]0.746297[/C][C]8.5418[/C][C]0[/C][/ROW]
[ROW][C]12[/C][C]0.723466[/C][C]8.2805[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.699819[/C][C]8.0098[/C][C]0[/C][/ROW]
[ROW][C]14[/C][C]0.675438[/C][C]7.7307[/C][C]0[/C][/ROW]
[ROW][C]15[/C][C]0.651014[/C][C]7.4512[/C][C]0[/C][/ROW]
[ROW][C]16[/C][C]0.62649[/C][C]7.1705[/C][C]0[/C][/ROW]
[ROW][C]17[/C][C]0.60195[/C][C]6.8896[/C][C]0[/C][/ROW]
[ROW][C]18[/C][C]0.576594[/C][C]6.5994[/C][C]0[/C][/ROW]
[ROW][C]19[/C][C]0.550265[/C][C]6.2981[/C][C]0[/C][/ROW]
[ROW][C]20[/C][C]0.52374[/C][C]5.9945[/C][C]0[/C][/ROW]
[ROW][C]21[/C][C]0.498507[/C][C]5.7057[/C][C]0[/C][/ROW]
[ROW][C]22[/C][C]0.480057[/C][C]5.4945[/C][C]0[/C][/ROW]
[ROW][C]23[/C][C]0.461542[/C][C]5.2826[/C][C]0[/C][/ROW]
[ROW][C]24[/C][C]0.442748[/C][C]5.0675[/C][C]1e-06[/C][/ROW]
[ROW][C]25[/C][C]0.423996[/C][C]4.8529[/C][C]2e-06[/C][/ROW]
[ROW][C]26[/C][C]0.405096[/C][C]4.6365[/C][C]4e-06[/C][/ROW]
[ROW][C]27[/C][C]0.386279[/C][C]4.4212[/C][C]1e-05[/C][/ROW]
[ROW][C]28[/C][C]0.368652[/C][C]4.2194[/C][C]2.3e-05[/C][/ROW]
[ROW][C]29[/C][C]0.352052[/C][C]4.0294[/C][C]4.7e-05[/C][/ROW]
[ROW][C]30[/C][C]0.335218[/C][C]3.8367[/C][C]9.7e-05[/C][/ROW]
[ROW][C]31[/C][C]0.317841[/C][C]3.6379[/C][C]0.000197[/C][/ROW]
[ROW][C]32[/C][C]0.299745[/C][C]3.4307[/C][C]0.000403[/C][/ROW]
[ROW][C]33[/C][C]0.281087[/C][C]3.2172[/C][C]0.000816[/C][/ROW]
[ROW][C]34[/C][C]0.262145[/C][C]3.0004[/C][C]0.001614[/C][/ROW]
[ROW][C]35[/C][C]0.242934[/C][C]2.7805[/C][C]0.003114[/C][/ROW]
[ROW][C]36[/C][C]0.223564[/C][C]2.5588[/C][C]0.00582[/C][/ROW]
[ROW][C]37[/C][C]0.203711[/C][C]2.3316[/C][C]0.010625[/C][/ROW]
[ROW][C]38[/C][C]0.182958[/C][C]2.094[/C][C]0.019092[/C][/ROW]
[ROW][C]39[/C][C]0.164181[/C][C]1.8791[/C][C]0.031224[/C][/ROW]
[ROW][C]40[/C][C]0.147215[/C][C]1.6849[/C][C]0.04719[/C][/ROW]
[ROW][C]41[/C][C]0.130562[/C][C]1.4943[/C][C]0.068745[/C][/ROW]
[ROW][C]42[/C][C]0.113832[/C][C]1.3029[/C][C]0.097453[/C][/ROW]
[ROW][C]43[/C][C]0.096922[/C][C]1.1093[/C][C]0.134661[/C][/ROW]
[ROW][C]44[/C][C]0.080275[/C][C]0.9188[/C][C]0.179948[/C][/ROW]
[ROW][C]45[/C][C]0.064025[/C][C]0.7328[/C][C]0.232494[/C][/ROW]
[ROW][C]46[/C][C]0.047167[/C][C]0.5398[/C][C]0.29511[/C][/ROW]
[ROW][C]47[/C][C]0.029571[/C][C]0.3385[/C][C]0.367779[/C][/ROW]
[ROW][C]48[/C][C]0.01149[/C][C]0.1315[/C][C]0.447788[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39966&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39966&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
10.97824411.19650
20.95490410.92940
30.93109610.65690
40.90694210.38040
50.88264910.10240
60.8581989.82250
70.8344939.55120
80.8123959.29830
90.7906599.04950
100.768628.79730
110.7462978.54180
120.7234668.28050
130.6998198.00980
140.6754387.73070
150.6510147.45120
160.626497.17050
170.601956.88960
180.5765946.59940
190.5502656.29810
200.523745.99450
210.4985075.70570
220.4800575.49450
230.4615425.28260
240.4427485.06751e-06
250.4239964.85292e-06
260.4050964.63654e-06
270.3862794.42121e-05
280.3686524.21942.3e-05
290.3520524.02944.7e-05
300.3352183.83679.7e-05
310.3178413.63790.000197
320.2997453.43070.000403
330.2810873.21720.000816
340.2621453.00040.001614
350.2429342.78050.003114
360.2235642.55880.00582
370.2037112.33160.010625
380.1829582.0940.019092
390.1641811.87910.031224
400.1472151.68490.04719
410.1305621.49430.068745
420.1138321.30290.097453
430.0969221.10930.134661
440.0802750.91880.179948
450.0640250.73280.232494
460.0471670.53980.29511
470.0295710.33850.367779
480.011490.13150.447788







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.97824411.19650
2-0.047812-0.54720.292575
3-0.021518-0.24630.402924
4-0.019661-0.2250.411151
5-0.015269-0.17480.430769
6-0.016245-0.18590.426394
70.0045850.05250.479113
80.0234330.26820.394483
9-0.006595-0.07550.469972
10-0.020707-0.2370.406511
11-0.019358-0.22160.412501
12-0.024549-0.2810.389584
13-0.031364-0.3590.360096
14-0.028284-0.32370.373332
15-0.012283-0.14060.444208
16-0.016111-0.18440.426993
17-0.015545-0.17790.42953
18-0.034978-0.40030.344779
19-0.038923-0.44550.328349
20-0.021674-0.24810.402236
210.0126540.14480.442535
220.1412431.61660.054185
23-0.024124-0.27610.39145
24-0.023009-0.26340.396346
25-0.016622-0.19020.424705
26-0.020216-0.23140.408689
27-0.012058-0.1380.445221
280.0226850.25960.397774
290.0224570.2570.398777
30-0.018765-0.21480.41514
31-0.029739-0.34040.36706
32-0.033787-0.38670.349798
33-0.032085-0.36720.357018
34-0.025486-0.29170.385487
35-0.019894-0.22770.410119
36-0.012889-0.14750.441473
37-0.027487-0.31460.376782
38-0.041662-0.47680.317133
390.0205020.23470.407423
400.0140540.16080.43623
41-0.01378-0.15770.437459
42-0.010132-0.1160.453928
430.0049140.05620.477615
44-0.013866-0.15870.437071
45-0.010773-0.12330.451029
46-0.029265-0.3350.369098
47-0.0327-0.37430.354407
48-0.025154-0.28790.386938

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.978244 & 11.1965 & 0 \tabularnewline
2 & -0.047812 & -0.5472 & 0.292575 \tabularnewline
3 & -0.021518 & -0.2463 & 0.402924 \tabularnewline
4 & -0.019661 & -0.225 & 0.411151 \tabularnewline
5 & -0.015269 & -0.1748 & 0.430769 \tabularnewline
6 & -0.016245 & -0.1859 & 0.426394 \tabularnewline
7 & 0.004585 & 0.0525 & 0.479113 \tabularnewline
8 & 0.023433 & 0.2682 & 0.394483 \tabularnewline
9 & -0.006595 & -0.0755 & 0.469972 \tabularnewline
10 & -0.020707 & -0.237 & 0.406511 \tabularnewline
11 & -0.019358 & -0.2216 & 0.412501 \tabularnewline
12 & -0.024549 & -0.281 & 0.389584 \tabularnewline
13 & -0.031364 & -0.359 & 0.360096 \tabularnewline
14 & -0.028284 & -0.3237 & 0.373332 \tabularnewline
15 & -0.012283 & -0.1406 & 0.444208 \tabularnewline
16 & -0.016111 & -0.1844 & 0.426993 \tabularnewline
17 & -0.015545 & -0.1779 & 0.42953 \tabularnewline
18 & -0.034978 & -0.4003 & 0.344779 \tabularnewline
19 & -0.038923 & -0.4455 & 0.328349 \tabularnewline
20 & -0.021674 & -0.2481 & 0.402236 \tabularnewline
21 & 0.012654 & 0.1448 & 0.442535 \tabularnewline
22 & 0.141243 & 1.6166 & 0.054185 \tabularnewline
23 & -0.024124 & -0.2761 & 0.39145 \tabularnewline
24 & -0.023009 & -0.2634 & 0.396346 \tabularnewline
25 & -0.016622 & -0.1902 & 0.424705 \tabularnewline
26 & -0.020216 & -0.2314 & 0.408689 \tabularnewline
27 & -0.012058 & -0.138 & 0.445221 \tabularnewline
28 & 0.022685 & 0.2596 & 0.397774 \tabularnewline
29 & 0.022457 & 0.257 & 0.398777 \tabularnewline
30 & -0.018765 & -0.2148 & 0.41514 \tabularnewline
31 & -0.029739 & -0.3404 & 0.36706 \tabularnewline
32 & -0.033787 & -0.3867 & 0.349798 \tabularnewline
33 & -0.032085 & -0.3672 & 0.357018 \tabularnewline
34 & -0.025486 & -0.2917 & 0.385487 \tabularnewline
35 & -0.019894 & -0.2277 & 0.410119 \tabularnewline
36 & -0.012889 & -0.1475 & 0.441473 \tabularnewline
37 & -0.027487 & -0.3146 & 0.376782 \tabularnewline
38 & -0.041662 & -0.4768 & 0.317133 \tabularnewline
39 & 0.020502 & 0.2347 & 0.407423 \tabularnewline
40 & 0.014054 & 0.1608 & 0.43623 \tabularnewline
41 & -0.01378 & -0.1577 & 0.437459 \tabularnewline
42 & -0.010132 & -0.116 & 0.453928 \tabularnewline
43 & 0.004914 & 0.0562 & 0.477615 \tabularnewline
44 & -0.013866 & -0.1587 & 0.437071 \tabularnewline
45 & -0.010773 & -0.1233 & 0.451029 \tabularnewline
46 & -0.029265 & -0.335 & 0.369098 \tabularnewline
47 & -0.0327 & -0.3743 & 0.354407 \tabularnewline
48 & -0.025154 & -0.2879 & 0.386938 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39966&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]0.978244[/C][C]11.1965[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.047812[/C][C]-0.5472[/C][C]0.292575[/C][/ROW]
[ROW][C]3[/C][C]-0.021518[/C][C]-0.2463[/C][C]0.402924[/C][/ROW]
[ROW][C]4[/C][C]-0.019661[/C][C]-0.225[/C][C]0.411151[/C][/ROW]
[ROW][C]5[/C][C]-0.015269[/C][C]-0.1748[/C][C]0.430769[/C][/ROW]
[ROW][C]6[/C][C]-0.016245[/C][C]-0.1859[/C][C]0.426394[/C][/ROW]
[ROW][C]7[/C][C]0.004585[/C][C]0.0525[/C][C]0.479113[/C][/ROW]
[ROW][C]8[/C][C]0.023433[/C][C]0.2682[/C][C]0.394483[/C][/ROW]
[ROW][C]9[/C][C]-0.006595[/C][C]-0.0755[/C][C]0.469972[/C][/ROW]
[ROW][C]10[/C][C]-0.020707[/C][C]-0.237[/C][C]0.406511[/C][/ROW]
[ROW][C]11[/C][C]-0.019358[/C][C]-0.2216[/C][C]0.412501[/C][/ROW]
[ROW][C]12[/C][C]-0.024549[/C][C]-0.281[/C][C]0.389584[/C][/ROW]
[ROW][C]13[/C][C]-0.031364[/C][C]-0.359[/C][C]0.360096[/C][/ROW]
[ROW][C]14[/C][C]-0.028284[/C][C]-0.3237[/C][C]0.373332[/C][/ROW]
[ROW][C]15[/C][C]-0.012283[/C][C]-0.1406[/C][C]0.444208[/C][/ROW]
[ROW][C]16[/C][C]-0.016111[/C][C]-0.1844[/C][C]0.426993[/C][/ROW]
[ROW][C]17[/C][C]-0.015545[/C][C]-0.1779[/C][C]0.42953[/C][/ROW]
[ROW][C]18[/C][C]-0.034978[/C][C]-0.4003[/C][C]0.344779[/C][/ROW]
[ROW][C]19[/C][C]-0.038923[/C][C]-0.4455[/C][C]0.328349[/C][/ROW]
[ROW][C]20[/C][C]-0.021674[/C][C]-0.2481[/C][C]0.402236[/C][/ROW]
[ROW][C]21[/C][C]0.012654[/C][C]0.1448[/C][C]0.442535[/C][/ROW]
[ROW][C]22[/C][C]0.141243[/C][C]1.6166[/C][C]0.054185[/C][/ROW]
[ROW][C]23[/C][C]-0.024124[/C][C]-0.2761[/C][C]0.39145[/C][/ROW]
[ROW][C]24[/C][C]-0.023009[/C][C]-0.2634[/C][C]0.396346[/C][/ROW]
[ROW][C]25[/C][C]-0.016622[/C][C]-0.1902[/C][C]0.424705[/C][/ROW]
[ROW][C]26[/C][C]-0.020216[/C][C]-0.2314[/C][C]0.408689[/C][/ROW]
[ROW][C]27[/C][C]-0.012058[/C][C]-0.138[/C][C]0.445221[/C][/ROW]
[ROW][C]28[/C][C]0.022685[/C][C]0.2596[/C][C]0.397774[/C][/ROW]
[ROW][C]29[/C][C]0.022457[/C][C]0.257[/C][C]0.398777[/C][/ROW]
[ROW][C]30[/C][C]-0.018765[/C][C]-0.2148[/C][C]0.41514[/C][/ROW]
[ROW][C]31[/C][C]-0.029739[/C][C]-0.3404[/C][C]0.36706[/C][/ROW]
[ROW][C]32[/C][C]-0.033787[/C][C]-0.3867[/C][C]0.349798[/C][/ROW]
[ROW][C]33[/C][C]-0.032085[/C][C]-0.3672[/C][C]0.357018[/C][/ROW]
[ROW][C]34[/C][C]-0.025486[/C][C]-0.2917[/C][C]0.385487[/C][/ROW]
[ROW][C]35[/C][C]-0.019894[/C][C]-0.2277[/C][C]0.410119[/C][/ROW]
[ROW][C]36[/C][C]-0.012889[/C][C]-0.1475[/C][C]0.441473[/C][/ROW]
[ROW][C]37[/C][C]-0.027487[/C][C]-0.3146[/C][C]0.376782[/C][/ROW]
[ROW][C]38[/C][C]-0.041662[/C][C]-0.4768[/C][C]0.317133[/C][/ROW]
[ROW][C]39[/C][C]0.020502[/C][C]0.2347[/C][C]0.407423[/C][/ROW]
[ROW][C]40[/C][C]0.014054[/C][C]0.1608[/C][C]0.43623[/C][/ROW]
[ROW][C]41[/C][C]-0.01378[/C][C]-0.1577[/C][C]0.437459[/C][/ROW]
[ROW][C]42[/C][C]-0.010132[/C][C]-0.116[/C][C]0.453928[/C][/ROW]
[ROW][C]43[/C][C]0.004914[/C][C]0.0562[/C][C]0.477615[/C][/ROW]
[ROW][C]44[/C][C]-0.013866[/C][C]-0.1587[/C][C]0.437071[/C][/ROW]
[ROW][C]45[/C][C]-0.010773[/C][C]-0.1233[/C][C]0.451029[/C][/ROW]
[ROW][C]46[/C][C]-0.029265[/C][C]-0.335[/C][C]0.369098[/C][/ROW]
[ROW][C]47[/C][C]-0.0327[/C][C]-0.3743[/C][C]0.354407[/C][/ROW]
[ROW][C]48[/C][C]-0.025154[/C][C]-0.2879[/C][C]0.386938[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39966&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39966&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
10.97824411.19650
2-0.047812-0.54720.292575
3-0.021518-0.24630.402924
4-0.019661-0.2250.411151
5-0.015269-0.17480.430769
6-0.016245-0.18590.426394
70.0045850.05250.479113
80.0234330.26820.394483
9-0.006595-0.07550.469972
10-0.020707-0.2370.406511
11-0.019358-0.22160.412501
12-0.024549-0.2810.389584
13-0.031364-0.3590.360096
14-0.028284-0.32370.373332
15-0.012283-0.14060.444208
16-0.016111-0.18440.426993
17-0.015545-0.17790.42953
18-0.034978-0.40030.344779
19-0.038923-0.44550.328349
20-0.021674-0.24810.402236
210.0126540.14480.442535
220.1412431.61660.054185
23-0.024124-0.27610.39145
24-0.023009-0.26340.396346
25-0.016622-0.19020.424705
26-0.020216-0.23140.408689
27-0.012058-0.1380.445221
280.0226850.25960.397774
290.0224570.2570.398777
30-0.018765-0.21480.41514
31-0.029739-0.34040.36706
32-0.033787-0.38670.349798
33-0.032085-0.36720.357018
34-0.025486-0.29170.385487
35-0.019894-0.22770.410119
36-0.012889-0.14750.441473
37-0.027487-0.31460.376782
38-0.041662-0.47680.317133
390.0205020.23470.407423
400.0140540.16080.43623
41-0.01378-0.15770.437459
42-0.010132-0.1160.453928
430.0049140.05620.477615
44-0.013866-0.15870.437071
45-0.010773-0.12330.451029
46-0.029265-0.3350.369098
47-0.0327-0.37430.354407
48-0.025154-0.28790.386938



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