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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationMon, 03 May 2010 15:24:09 +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/May/03/t1272900392qom3w2qhijro560.htm/, Retrieved Fri, 29 Mar 2024 10:45:07 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=75230, Retrieved Fri, 29 Mar 2024 10:45:07 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP2W21
Estimated Impact154
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Autocorrelatie me...] [2010-05-03 15:24:09] [2aa5bad7942f7e33426bcac9d4e6ffec] [Current]
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Dataseries X:
3592.21
5955.74
4652.25
4211.65
4787.85
3599.73
4174.27
5106.33
5325.75
6604.61
5711.90
6919.30
7048.76
8655.98
6658.53
7247.03
8779.57
6602.49
9832.48
9369.49
8582.76
8206.94
6515.83
8618.10
8505.39
9881.64
9375.29
15642.50
12232.73
6288.93
12473.94
11142.82
10236.32
10581.51
8763.71
10819.04
11636.25
14650.13
10671.38
17468.63
13873.19
13077.58
16866.81
14186.64
19919.87
17681.78
9984.28
17423.09
13514.45
12334.57
12274.56
11752.23
13054.00
12460.98
8626.68
13722.62
12066.22
6798.83
6593.82
6606.19
6315.28
7232.95
6747.44
7803.61
6700.31
5369.53
8081.19
10718.39
9447.21
6815.10
5497.80
6805.31




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=75230&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]2 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=75230&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=75230&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 time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.445396-3.7530.000177
2-0.134027-1.12930.13128
30.2821222.37720.010071
4-0.262073-2.20830.015228
50.2274891.91690.02964
6-0.083479-0.70340.242051
7-0.132212-1.1140.13451
80.2345161.97610.026017
9-0.042696-0.35980.360046
10-0.20585-1.73450.043582
110.0782120.6590.256005
120.2713152.28610.012616
13-0.286916-2.41760.009096
140.1792721.51060.067668
15-0.145181-1.22330.112627
16-0.018013-0.15180.439894
170.2061961.73740.043323
18-0.186493-1.57140.060266
190.0490890.41360.340194
200.0519240.43750.331532
21-0.069827-0.58840.279074
22-0.05167-0.43540.332305
23-0.013523-0.11390.4548
240.1179340.99370.161864
25-0.052259-0.44030.330514
260.0749690.63170.264805
27-0.150399-1.26730.104597
280.0772840.65120.258508
290.1129930.95210.172139
30-0.138477-1.16680.123593
310.0434890.36640.357563
320.0261240.22010.413201
33-0.072099-0.60750.272722
34-0.018687-0.15750.437666
35-0.006728-0.05670.477475
360.0886960.74740.228656
37-0.020834-0.17560.430572
38-0.031003-0.26120.397332
39-0.064124-0.54030.295335
400.0788270.66420.254355
410.0177680.14970.440705
42-0.074639-0.62890.265711
430.0563830.47510.318089
440.0075150.06330.474843
45-0.073047-0.61550.270095
460.0269880.22740.410383
47-0.024524-0.20660.418439
480.0238630.20110.420608

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.445396 & -3.753 & 0.000177 \tabularnewline
2 & -0.134027 & -1.1293 & 0.13128 \tabularnewline
3 & 0.282122 & 2.3772 & 0.010071 \tabularnewline
4 & -0.262073 & -2.2083 & 0.015228 \tabularnewline
5 & 0.227489 & 1.9169 & 0.02964 \tabularnewline
6 & -0.083479 & -0.7034 & 0.242051 \tabularnewline
7 & -0.132212 & -1.114 & 0.13451 \tabularnewline
8 & 0.234516 & 1.9761 & 0.026017 \tabularnewline
9 & -0.042696 & -0.3598 & 0.360046 \tabularnewline
10 & -0.20585 & -1.7345 & 0.043582 \tabularnewline
11 & 0.078212 & 0.659 & 0.256005 \tabularnewline
12 & 0.271315 & 2.2861 & 0.012616 \tabularnewline
13 & -0.286916 & -2.4176 & 0.009096 \tabularnewline
14 & 0.179272 & 1.5106 & 0.067668 \tabularnewline
15 & -0.145181 & -1.2233 & 0.112627 \tabularnewline
16 & -0.018013 & -0.1518 & 0.439894 \tabularnewline
17 & 0.206196 & 1.7374 & 0.043323 \tabularnewline
18 & -0.186493 & -1.5714 & 0.060266 \tabularnewline
19 & 0.049089 & 0.4136 & 0.340194 \tabularnewline
20 & 0.051924 & 0.4375 & 0.331532 \tabularnewline
21 & -0.069827 & -0.5884 & 0.279074 \tabularnewline
22 & -0.05167 & -0.4354 & 0.332305 \tabularnewline
23 & -0.013523 & -0.1139 & 0.4548 \tabularnewline
24 & 0.117934 & 0.9937 & 0.161864 \tabularnewline
25 & -0.052259 & -0.4403 & 0.330514 \tabularnewline
26 & 0.074969 & 0.6317 & 0.264805 \tabularnewline
27 & -0.150399 & -1.2673 & 0.104597 \tabularnewline
28 & 0.077284 & 0.6512 & 0.258508 \tabularnewline
29 & 0.112993 & 0.9521 & 0.172139 \tabularnewline
30 & -0.138477 & -1.1668 & 0.123593 \tabularnewline
31 & 0.043489 & 0.3664 & 0.357563 \tabularnewline
32 & 0.026124 & 0.2201 & 0.413201 \tabularnewline
33 & -0.072099 & -0.6075 & 0.272722 \tabularnewline
34 & -0.018687 & -0.1575 & 0.437666 \tabularnewline
35 & -0.006728 & -0.0567 & 0.477475 \tabularnewline
36 & 0.088696 & 0.7474 & 0.228656 \tabularnewline
37 & -0.020834 & -0.1756 & 0.430572 \tabularnewline
38 & -0.031003 & -0.2612 & 0.397332 \tabularnewline
39 & -0.064124 & -0.5403 & 0.295335 \tabularnewline
40 & 0.078827 & 0.6642 & 0.254355 \tabularnewline
41 & 0.017768 & 0.1497 & 0.440705 \tabularnewline
42 & -0.074639 & -0.6289 & 0.265711 \tabularnewline
43 & 0.056383 & 0.4751 & 0.318089 \tabularnewline
44 & 0.007515 & 0.0633 & 0.474843 \tabularnewline
45 & -0.073047 & -0.6155 & 0.270095 \tabularnewline
46 & 0.026988 & 0.2274 & 0.410383 \tabularnewline
47 & -0.024524 & -0.2066 & 0.418439 \tabularnewline
48 & 0.023863 & 0.2011 & 0.420608 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=75230&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]-0.445396[/C][C]-3.753[/C][C]0.000177[/C][/ROW]
[ROW][C]2[/C][C]-0.134027[/C][C]-1.1293[/C][C]0.13128[/C][/ROW]
[ROW][C]3[/C][C]0.282122[/C][C]2.3772[/C][C]0.010071[/C][/ROW]
[ROW][C]4[/C][C]-0.262073[/C][C]-2.2083[/C][C]0.015228[/C][/ROW]
[ROW][C]5[/C][C]0.227489[/C][C]1.9169[/C][C]0.02964[/C][/ROW]
[ROW][C]6[/C][C]-0.083479[/C][C]-0.7034[/C][C]0.242051[/C][/ROW]
[ROW][C]7[/C][C]-0.132212[/C][C]-1.114[/C][C]0.13451[/C][/ROW]
[ROW][C]8[/C][C]0.234516[/C][C]1.9761[/C][C]0.026017[/C][/ROW]
[ROW][C]9[/C][C]-0.042696[/C][C]-0.3598[/C][C]0.360046[/C][/ROW]
[ROW][C]10[/C][C]-0.20585[/C][C]-1.7345[/C][C]0.043582[/C][/ROW]
[ROW][C]11[/C][C]0.078212[/C][C]0.659[/C][C]0.256005[/C][/ROW]
[ROW][C]12[/C][C]0.271315[/C][C]2.2861[/C][C]0.012616[/C][/ROW]
[ROW][C]13[/C][C]-0.286916[/C][C]-2.4176[/C][C]0.009096[/C][/ROW]
[ROW][C]14[/C][C]0.179272[/C][C]1.5106[/C][C]0.067668[/C][/ROW]
[ROW][C]15[/C][C]-0.145181[/C][C]-1.2233[/C][C]0.112627[/C][/ROW]
[ROW][C]16[/C][C]-0.018013[/C][C]-0.1518[/C][C]0.439894[/C][/ROW]
[ROW][C]17[/C][C]0.206196[/C][C]1.7374[/C][C]0.043323[/C][/ROW]
[ROW][C]18[/C][C]-0.186493[/C][C]-1.5714[/C][C]0.060266[/C][/ROW]
[ROW][C]19[/C][C]0.049089[/C][C]0.4136[/C][C]0.340194[/C][/ROW]
[ROW][C]20[/C][C]0.051924[/C][C]0.4375[/C][C]0.331532[/C][/ROW]
[ROW][C]21[/C][C]-0.069827[/C][C]-0.5884[/C][C]0.279074[/C][/ROW]
[ROW][C]22[/C][C]-0.05167[/C][C]-0.4354[/C][C]0.332305[/C][/ROW]
[ROW][C]23[/C][C]-0.013523[/C][C]-0.1139[/C][C]0.4548[/C][/ROW]
[ROW][C]24[/C][C]0.117934[/C][C]0.9937[/C][C]0.161864[/C][/ROW]
[ROW][C]25[/C][C]-0.052259[/C][C]-0.4403[/C][C]0.330514[/C][/ROW]
[ROW][C]26[/C][C]0.074969[/C][C]0.6317[/C][C]0.264805[/C][/ROW]
[ROW][C]27[/C][C]-0.150399[/C][C]-1.2673[/C][C]0.104597[/C][/ROW]
[ROW][C]28[/C][C]0.077284[/C][C]0.6512[/C][C]0.258508[/C][/ROW]
[ROW][C]29[/C][C]0.112993[/C][C]0.9521[/C][C]0.172139[/C][/ROW]
[ROW][C]30[/C][C]-0.138477[/C][C]-1.1668[/C][C]0.123593[/C][/ROW]
[ROW][C]31[/C][C]0.043489[/C][C]0.3664[/C][C]0.357563[/C][/ROW]
[ROW][C]32[/C][C]0.026124[/C][C]0.2201[/C][C]0.413201[/C][/ROW]
[ROW][C]33[/C][C]-0.072099[/C][C]-0.6075[/C][C]0.272722[/C][/ROW]
[ROW][C]34[/C][C]-0.018687[/C][C]-0.1575[/C][C]0.437666[/C][/ROW]
[ROW][C]35[/C][C]-0.006728[/C][C]-0.0567[/C][C]0.477475[/C][/ROW]
[ROW][C]36[/C][C]0.088696[/C][C]0.7474[/C][C]0.228656[/C][/ROW]
[ROW][C]37[/C][C]-0.020834[/C][C]-0.1756[/C][C]0.430572[/C][/ROW]
[ROW][C]38[/C][C]-0.031003[/C][C]-0.2612[/C][C]0.397332[/C][/ROW]
[ROW][C]39[/C][C]-0.064124[/C][C]-0.5403[/C][C]0.295335[/C][/ROW]
[ROW][C]40[/C][C]0.078827[/C][C]0.6642[/C][C]0.254355[/C][/ROW]
[ROW][C]41[/C][C]0.017768[/C][C]0.1497[/C][C]0.440705[/C][/ROW]
[ROW][C]42[/C][C]-0.074639[/C][C]-0.6289[/C][C]0.265711[/C][/ROW]
[ROW][C]43[/C][C]0.056383[/C][C]0.4751[/C][C]0.318089[/C][/ROW]
[ROW][C]44[/C][C]0.007515[/C][C]0.0633[/C][C]0.474843[/C][/ROW]
[ROW][C]45[/C][C]-0.073047[/C][C]-0.6155[/C][C]0.270095[/C][/ROW]
[ROW][C]46[/C][C]0.026988[/C][C]0.2274[/C][C]0.410383[/C][/ROW]
[ROW][C]47[/C][C]-0.024524[/C][C]-0.2066[/C][C]0.418439[/C][/ROW]
[ROW][C]48[/C][C]0.023863[/C][C]0.2011[/C][C]0.420608[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=75230&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=75230&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
1-0.445396-3.7530.000177
2-0.134027-1.12930.13128
30.2821222.37720.010071
4-0.262073-2.20830.015228
50.2274891.91690.02964
6-0.083479-0.70340.242051
7-0.132212-1.1140.13451
80.2345161.97610.026017
9-0.042696-0.35980.360046
10-0.20585-1.73450.043582
110.0782120.6590.256005
120.2713152.28610.012616
13-0.286916-2.41760.009096
140.1792721.51060.067668
15-0.145181-1.22330.112627
16-0.018013-0.15180.439894
170.2061961.73740.043323
18-0.186493-1.57140.060266
190.0490890.41360.340194
200.0519240.43750.331532
21-0.069827-0.58840.279074
22-0.05167-0.43540.332305
23-0.013523-0.11390.4548
240.1179340.99370.161864
25-0.052259-0.44030.330514
260.0749690.63170.264805
27-0.150399-1.26730.104597
280.0772840.65120.258508
290.1129930.95210.172139
30-0.138477-1.16680.123593
310.0434890.36640.357563
320.0261240.22010.413201
33-0.072099-0.60750.272722
34-0.018687-0.15750.437666
35-0.006728-0.05670.477475
360.0886960.74740.228656
37-0.020834-0.17560.430572
38-0.031003-0.26120.397332
39-0.064124-0.54030.295335
400.0788270.66420.254355
410.0177680.14970.440705
42-0.074639-0.62890.265711
430.0563830.47510.318089
440.0075150.06330.474843
45-0.073047-0.61550.270095
460.0269880.22740.410383
47-0.024524-0.20660.418439
480.0238630.20110.420608







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.445396-3.7530.000177
2-0.414665-3.4940.000412
30.019560.16480.434779
4-0.198652-1.67390.049278
50.1555591.31080.097081
6-0.01339-0.11280.455244
7-0.060949-0.51360.304575
80.0494710.41680.339024
90.1796371.51360.067277
10-0.152479-1.28480.101517
11-0.192968-1.6260.054193
120.3104972.61630.005426
13-0.024058-0.20270.419969
140.1963531.65450.051221
15-0.170883-1.43990.077147
160.0117780.09920.460612
17-0.135551-1.14220.12861
180.2009051.69290.047434
19-0.033575-0.28290.389036
20-0.063578-0.53570.296915
21-0.025729-0.21680.414493
22-0.131579-1.10870.13565
23-0.119112-1.00370.159476
24-0.058401-0.49210.312086
250.1214161.02310.154874
260.0091260.07690.469462
270.1135880.95710.17088
28-0.014865-0.12530.450339
290.1149660.96870.167986
30-0.019107-0.1610.436276
310.0302160.25460.399884
32-0.014457-0.12180.451693
33-0.084689-0.71360.238906
34-0.083755-0.70570.241332
35-0.109171-0.91990.180373
360.0972630.81960.207608
37-0.086381-0.72790.234547
380.0038060.03210.487253
39-0.078873-0.66460.25423
400.0346620.29210.385543
41-0.028843-0.2430.40434
42-0.004726-0.03980.484174
43-0.015488-0.13050.448267
44-0.021458-0.18080.428518
450.0092380.07780.469086
46-0.013747-0.11580.454056
470.0278980.23510.407413
48-0.104821-0.88320.190045

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.445396 & -3.753 & 0.000177 \tabularnewline
2 & -0.414665 & -3.494 & 0.000412 \tabularnewline
3 & 0.01956 & 0.1648 & 0.434779 \tabularnewline
4 & -0.198652 & -1.6739 & 0.049278 \tabularnewline
5 & 0.155559 & 1.3108 & 0.097081 \tabularnewline
6 & -0.01339 & -0.1128 & 0.455244 \tabularnewline
7 & -0.060949 & -0.5136 & 0.304575 \tabularnewline
8 & 0.049471 & 0.4168 & 0.339024 \tabularnewline
9 & 0.179637 & 1.5136 & 0.067277 \tabularnewline
10 & -0.152479 & -1.2848 & 0.101517 \tabularnewline
11 & -0.192968 & -1.626 & 0.054193 \tabularnewline
12 & 0.310497 & 2.6163 & 0.005426 \tabularnewline
13 & -0.024058 & -0.2027 & 0.419969 \tabularnewline
14 & 0.196353 & 1.6545 & 0.051221 \tabularnewline
15 & -0.170883 & -1.4399 & 0.077147 \tabularnewline
16 & 0.011778 & 0.0992 & 0.460612 \tabularnewline
17 & -0.135551 & -1.1422 & 0.12861 \tabularnewline
18 & 0.200905 & 1.6929 & 0.047434 \tabularnewline
19 & -0.033575 & -0.2829 & 0.389036 \tabularnewline
20 & -0.063578 & -0.5357 & 0.296915 \tabularnewline
21 & -0.025729 & -0.2168 & 0.414493 \tabularnewline
22 & -0.131579 & -1.1087 & 0.13565 \tabularnewline
23 & -0.119112 & -1.0037 & 0.159476 \tabularnewline
24 & -0.058401 & -0.4921 & 0.312086 \tabularnewline
25 & 0.121416 & 1.0231 & 0.154874 \tabularnewline
26 & 0.009126 & 0.0769 & 0.469462 \tabularnewline
27 & 0.113588 & 0.9571 & 0.17088 \tabularnewline
28 & -0.014865 & -0.1253 & 0.450339 \tabularnewline
29 & 0.114966 & 0.9687 & 0.167986 \tabularnewline
30 & -0.019107 & -0.161 & 0.436276 \tabularnewline
31 & 0.030216 & 0.2546 & 0.399884 \tabularnewline
32 & -0.014457 & -0.1218 & 0.451693 \tabularnewline
33 & -0.084689 & -0.7136 & 0.238906 \tabularnewline
34 & -0.083755 & -0.7057 & 0.241332 \tabularnewline
35 & -0.109171 & -0.9199 & 0.180373 \tabularnewline
36 & 0.097263 & 0.8196 & 0.207608 \tabularnewline
37 & -0.086381 & -0.7279 & 0.234547 \tabularnewline
38 & 0.003806 & 0.0321 & 0.487253 \tabularnewline
39 & -0.078873 & -0.6646 & 0.25423 \tabularnewline
40 & 0.034662 & 0.2921 & 0.385543 \tabularnewline
41 & -0.028843 & -0.243 & 0.40434 \tabularnewline
42 & -0.004726 & -0.0398 & 0.484174 \tabularnewline
43 & -0.015488 & -0.1305 & 0.448267 \tabularnewline
44 & -0.021458 & -0.1808 & 0.428518 \tabularnewline
45 & 0.009238 & 0.0778 & 0.469086 \tabularnewline
46 & -0.013747 & -0.1158 & 0.454056 \tabularnewline
47 & 0.027898 & 0.2351 & 0.407413 \tabularnewline
48 & -0.104821 & -0.8832 & 0.190045 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=75230&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]-0.445396[/C][C]-3.753[/C][C]0.000177[/C][/ROW]
[ROW][C]2[/C][C]-0.414665[/C][C]-3.494[/C][C]0.000412[/C][/ROW]
[ROW][C]3[/C][C]0.01956[/C][C]0.1648[/C][C]0.434779[/C][/ROW]
[ROW][C]4[/C][C]-0.198652[/C][C]-1.6739[/C][C]0.049278[/C][/ROW]
[ROW][C]5[/C][C]0.155559[/C][C]1.3108[/C][C]0.097081[/C][/ROW]
[ROW][C]6[/C][C]-0.01339[/C][C]-0.1128[/C][C]0.455244[/C][/ROW]
[ROW][C]7[/C][C]-0.060949[/C][C]-0.5136[/C][C]0.304575[/C][/ROW]
[ROW][C]8[/C][C]0.049471[/C][C]0.4168[/C][C]0.339024[/C][/ROW]
[ROW][C]9[/C][C]0.179637[/C][C]1.5136[/C][C]0.067277[/C][/ROW]
[ROW][C]10[/C][C]-0.152479[/C][C]-1.2848[/C][C]0.101517[/C][/ROW]
[ROW][C]11[/C][C]-0.192968[/C][C]-1.626[/C][C]0.054193[/C][/ROW]
[ROW][C]12[/C][C]0.310497[/C][C]2.6163[/C][C]0.005426[/C][/ROW]
[ROW][C]13[/C][C]-0.024058[/C][C]-0.2027[/C][C]0.419969[/C][/ROW]
[ROW][C]14[/C][C]0.196353[/C][C]1.6545[/C][C]0.051221[/C][/ROW]
[ROW][C]15[/C][C]-0.170883[/C][C]-1.4399[/C][C]0.077147[/C][/ROW]
[ROW][C]16[/C][C]0.011778[/C][C]0.0992[/C][C]0.460612[/C][/ROW]
[ROW][C]17[/C][C]-0.135551[/C][C]-1.1422[/C][C]0.12861[/C][/ROW]
[ROW][C]18[/C][C]0.200905[/C][C]1.6929[/C][C]0.047434[/C][/ROW]
[ROW][C]19[/C][C]-0.033575[/C][C]-0.2829[/C][C]0.389036[/C][/ROW]
[ROW][C]20[/C][C]-0.063578[/C][C]-0.5357[/C][C]0.296915[/C][/ROW]
[ROW][C]21[/C][C]-0.025729[/C][C]-0.2168[/C][C]0.414493[/C][/ROW]
[ROW][C]22[/C][C]-0.131579[/C][C]-1.1087[/C][C]0.13565[/C][/ROW]
[ROW][C]23[/C][C]-0.119112[/C][C]-1.0037[/C][C]0.159476[/C][/ROW]
[ROW][C]24[/C][C]-0.058401[/C][C]-0.4921[/C][C]0.312086[/C][/ROW]
[ROW][C]25[/C][C]0.121416[/C][C]1.0231[/C][C]0.154874[/C][/ROW]
[ROW][C]26[/C][C]0.009126[/C][C]0.0769[/C][C]0.469462[/C][/ROW]
[ROW][C]27[/C][C]0.113588[/C][C]0.9571[/C][C]0.17088[/C][/ROW]
[ROW][C]28[/C][C]-0.014865[/C][C]-0.1253[/C][C]0.450339[/C][/ROW]
[ROW][C]29[/C][C]0.114966[/C][C]0.9687[/C][C]0.167986[/C][/ROW]
[ROW][C]30[/C][C]-0.019107[/C][C]-0.161[/C][C]0.436276[/C][/ROW]
[ROW][C]31[/C][C]0.030216[/C][C]0.2546[/C][C]0.399884[/C][/ROW]
[ROW][C]32[/C][C]-0.014457[/C][C]-0.1218[/C][C]0.451693[/C][/ROW]
[ROW][C]33[/C][C]-0.084689[/C][C]-0.7136[/C][C]0.238906[/C][/ROW]
[ROW][C]34[/C][C]-0.083755[/C][C]-0.7057[/C][C]0.241332[/C][/ROW]
[ROW][C]35[/C][C]-0.109171[/C][C]-0.9199[/C][C]0.180373[/C][/ROW]
[ROW][C]36[/C][C]0.097263[/C][C]0.8196[/C][C]0.207608[/C][/ROW]
[ROW][C]37[/C][C]-0.086381[/C][C]-0.7279[/C][C]0.234547[/C][/ROW]
[ROW][C]38[/C][C]0.003806[/C][C]0.0321[/C][C]0.487253[/C][/ROW]
[ROW][C]39[/C][C]-0.078873[/C][C]-0.6646[/C][C]0.25423[/C][/ROW]
[ROW][C]40[/C][C]0.034662[/C][C]0.2921[/C][C]0.385543[/C][/ROW]
[ROW][C]41[/C][C]-0.028843[/C][C]-0.243[/C][C]0.40434[/C][/ROW]
[ROW][C]42[/C][C]-0.004726[/C][C]-0.0398[/C][C]0.484174[/C][/ROW]
[ROW][C]43[/C][C]-0.015488[/C][C]-0.1305[/C][C]0.448267[/C][/ROW]
[ROW][C]44[/C][C]-0.021458[/C][C]-0.1808[/C][C]0.428518[/C][/ROW]
[ROW][C]45[/C][C]0.009238[/C][C]0.0778[/C][C]0.469086[/C][/ROW]
[ROW][C]46[/C][C]-0.013747[/C][C]-0.1158[/C][C]0.454056[/C][/ROW]
[ROW][C]47[/C][C]0.027898[/C][C]0.2351[/C][C]0.407413[/C][/ROW]
[ROW][C]48[/C][C]-0.104821[/C][C]-0.8832[/C][C]0.190045[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=75230&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=75230&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
1-0.445396-3.7530.000177
2-0.414665-3.4940.000412
30.019560.16480.434779
4-0.198652-1.67390.049278
50.1555591.31080.097081
6-0.01339-0.11280.455244
7-0.060949-0.51360.304575
80.0494710.41680.339024
90.1796371.51360.067277
10-0.152479-1.28480.101517
11-0.192968-1.6260.054193
120.3104972.61630.005426
13-0.024058-0.20270.419969
140.1963531.65450.051221
15-0.170883-1.43990.077147
160.0117780.09920.460612
17-0.135551-1.14220.12861
180.2009051.69290.047434
19-0.033575-0.28290.389036
20-0.063578-0.53570.296915
21-0.025729-0.21680.414493
22-0.131579-1.10870.13565
23-0.119112-1.00370.159476
24-0.058401-0.49210.312086
250.1214161.02310.154874
260.0091260.07690.469462
270.1135880.95710.17088
28-0.014865-0.12530.450339
290.1149660.96870.167986
30-0.019107-0.1610.436276
310.0302160.25460.399884
32-0.014457-0.12180.451693
33-0.084689-0.71360.238906
34-0.083755-0.70570.241332
35-0.109171-0.91990.180373
360.0972630.81960.207608
37-0.086381-0.72790.234547
380.0038060.03210.487253
39-0.078873-0.66460.25423
400.0346620.29210.385543
41-0.028843-0.2430.40434
42-0.004726-0.03980.484174
43-0.015488-0.13050.448267
44-0.021458-0.18080.428518
450.0092380.07780.469086
46-0.013747-0.11580.454056
470.0278980.23510.407413
48-0.104821-0.88320.190045



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