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 computationSun, 22 Dec 2013 12:56:11 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Dec/22/t1387735012lzzrem3hfvshzu1.htm/, Retrieved Sun, 05 Dec 2021 18:49:35 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=232552, Retrieved Sun, 05 Dec 2021 18:49:35 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact57
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [] [2013-12-22 17:56:11] [818da16b08b21220aa14002c9e16e6e1] [Current]
Feedback Forum

Post a new message
Dataseries X:
85.73
85.73
85.74
86.32
87.59
87.81
87.87
87.94
87.96
88.01
88.01
88.01
88.01
88.01
88.59
89.43
89.63
89.73
89.88
89.89
89.9
89.91
89.86
90.07
90.17
90.17
90.28
90.87
92.05
92.1
92.16
92.22
92.25
92.29
92.29
92.29
92.29
92.29
91.95
91.82
92.16
92.31
92.33
92.4
92.54
92.49
92.54
92.58
92.58
92.39
92.33
93.59
95.51
95.99
96.22
97.2
98.54
99.64
100.23
100.17




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time6 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net

\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 & 6 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232552&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]6 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232552&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232552&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 time6 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.5190363.98689.3e-05
20.0296040.22740.410453
30.0439290.33740.368498
40.1967821.51150.067998
50.1810951.3910.084722
6-0.001027-0.00790.496867
7-0.148127-1.13780.129905
8-0.13244-1.01730.156584
9-0.081381-0.62510.267158
10-0.034958-0.26850.39462
110.0573270.44030.33065
120.0747590.57420.283995
13-0.00971-0.07460.4704
14-0.081993-0.62980.26563
15-0.087664-0.67340.251673
16-0.073525-0.56480.28719
17-0.127489-0.97930.165725
18-0.163977-1.25950.106399
19-0.140185-1.07680.14298
20-0.119514-0.9180.181176
21-0.134708-1.03470.152513
22-0.131874-1.01290.157611
230.0496950.38170.352023
240.2474291.90050.031126
250.0890370.68390.248356
26-0.054037-0.41510.339798
27-0.006447-0.04950.480337
280.1026810.78870.216721
290.0917780.7050.241804
30-0.016463-0.12650.449902
31-0.110079-0.84550.200614
32-0.100212-0.76970.222263
33-0.086797-0.66670.253782
34-0.125649-0.96510.16921
35-0.120618-0.92650.178984
360.022490.17280.431719
370.1227730.9430.174754
380.0206620.15870.43722
39-0.065377-0.50220.308709
40-0.018408-0.14140.444021
410.0109920.08440.466501
420.0023150.01780.492937
43-0.050849-0.39060.348758
44-0.125022-0.96030.170409
45-0.154696-1.18820.11975
46-0.116401-0.89410.187452
470.0361680.27780.391064
480.1446211.11090.135569

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.519036 & 3.9868 & 9.3e-05 \tabularnewline
2 & 0.029604 & 0.2274 & 0.410453 \tabularnewline
3 & 0.043929 & 0.3374 & 0.368498 \tabularnewline
4 & 0.196782 & 1.5115 & 0.067998 \tabularnewline
5 & 0.181095 & 1.391 & 0.084722 \tabularnewline
6 & -0.001027 & -0.0079 & 0.496867 \tabularnewline
7 & -0.148127 & -1.1378 & 0.129905 \tabularnewline
8 & -0.13244 & -1.0173 & 0.156584 \tabularnewline
9 & -0.081381 & -0.6251 & 0.267158 \tabularnewline
10 & -0.034958 & -0.2685 & 0.39462 \tabularnewline
11 & 0.057327 & 0.4403 & 0.33065 \tabularnewline
12 & 0.074759 & 0.5742 & 0.283995 \tabularnewline
13 & -0.00971 & -0.0746 & 0.4704 \tabularnewline
14 & -0.081993 & -0.6298 & 0.26563 \tabularnewline
15 & -0.087664 & -0.6734 & 0.251673 \tabularnewline
16 & -0.073525 & -0.5648 & 0.28719 \tabularnewline
17 & -0.127489 & -0.9793 & 0.165725 \tabularnewline
18 & -0.163977 & -1.2595 & 0.106399 \tabularnewline
19 & -0.140185 & -1.0768 & 0.14298 \tabularnewline
20 & -0.119514 & -0.918 & 0.181176 \tabularnewline
21 & -0.134708 & -1.0347 & 0.152513 \tabularnewline
22 & -0.131874 & -1.0129 & 0.157611 \tabularnewline
23 & 0.049695 & 0.3817 & 0.352023 \tabularnewline
24 & 0.247429 & 1.9005 & 0.031126 \tabularnewline
25 & 0.089037 & 0.6839 & 0.248356 \tabularnewline
26 & -0.054037 & -0.4151 & 0.339798 \tabularnewline
27 & -0.006447 & -0.0495 & 0.480337 \tabularnewline
28 & 0.102681 & 0.7887 & 0.216721 \tabularnewline
29 & 0.091778 & 0.705 & 0.241804 \tabularnewline
30 & -0.016463 & -0.1265 & 0.449902 \tabularnewline
31 & -0.110079 & -0.8455 & 0.200614 \tabularnewline
32 & -0.100212 & -0.7697 & 0.222263 \tabularnewline
33 & -0.086797 & -0.6667 & 0.253782 \tabularnewline
34 & -0.125649 & -0.9651 & 0.16921 \tabularnewline
35 & -0.120618 & -0.9265 & 0.178984 \tabularnewline
36 & 0.02249 & 0.1728 & 0.431719 \tabularnewline
37 & 0.122773 & 0.943 & 0.174754 \tabularnewline
38 & 0.020662 & 0.1587 & 0.43722 \tabularnewline
39 & -0.065377 & -0.5022 & 0.308709 \tabularnewline
40 & -0.018408 & -0.1414 & 0.444021 \tabularnewline
41 & 0.010992 & 0.0844 & 0.466501 \tabularnewline
42 & 0.002315 & 0.0178 & 0.492937 \tabularnewline
43 & -0.050849 & -0.3906 & 0.348758 \tabularnewline
44 & -0.125022 & -0.9603 & 0.170409 \tabularnewline
45 & -0.154696 & -1.1882 & 0.11975 \tabularnewline
46 & -0.116401 & -0.8941 & 0.187452 \tabularnewline
47 & 0.036168 & 0.2778 & 0.391064 \tabularnewline
48 & 0.144621 & 1.1109 & 0.135569 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232552&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]0.519036[/C][C]3.9868[/C][C]9.3e-05[/C][/ROW]
[ROW][C]2[/C][C]0.029604[/C][C]0.2274[/C][C]0.410453[/C][/ROW]
[ROW][C]3[/C][C]0.043929[/C][C]0.3374[/C][C]0.368498[/C][/ROW]
[ROW][C]4[/C][C]0.196782[/C][C]1.5115[/C][C]0.067998[/C][/ROW]
[ROW][C]5[/C][C]0.181095[/C][C]1.391[/C][C]0.084722[/C][/ROW]
[ROW][C]6[/C][C]-0.001027[/C][C]-0.0079[/C][C]0.496867[/C][/ROW]
[ROW][C]7[/C][C]-0.148127[/C][C]-1.1378[/C][C]0.129905[/C][/ROW]
[ROW][C]8[/C][C]-0.13244[/C][C]-1.0173[/C][C]0.156584[/C][/ROW]
[ROW][C]9[/C][C]-0.081381[/C][C]-0.6251[/C][C]0.267158[/C][/ROW]
[ROW][C]10[/C][C]-0.034958[/C][C]-0.2685[/C][C]0.39462[/C][/ROW]
[ROW][C]11[/C][C]0.057327[/C][C]0.4403[/C][C]0.33065[/C][/ROW]
[ROW][C]12[/C][C]0.074759[/C][C]0.5742[/C][C]0.283995[/C][/ROW]
[ROW][C]13[/C][C]-0.00971[/C][C]-0.0746[/C][C]0.4704[/C][/ROW]
[ROW][C]14[/C][C]-0.081993[/C][C]-0.6298[/C][C]0.26563[/C][/ROW]
[ROW][C]15[/C][C]-0.087664[/C][C]-0.6734[/C][C]0.251673[/C][/ROW]
[ROW][C]16[/C][C]-0.073525[/C][C]-0.5648[/C][C]0.28719[/C][/ROW]
[ROW][C]17[/C][C]-0.127489[/C][C]-0.9793[/C][C]0.165725[/C][/ROW]
[ROW][C]18[/C][C]-0.163977[/C][C]-1.2595[/C][C]0.106399[/C][/ROW]
[ROW][C]19[/C][C]-0.140185[/C][C]-1.0768[/C][C]0.14298[/C][/ROW]
[ROW][C]20[/C][C]-0.119514[/C][C]-0.918[/C][C]0.181176[/C][/ROW]
[ROW][C]21[/C][C]-0.134708[/C][C]-1.0347[/C][C]0.152513[/C][/ROW]
[ROW][C]22[/C][C]-0.131874[/C][C]-1.0129[/C][C]0.157611[/C][/ROW]
[ROW][C]23[/C][C]0.049695[/C][C]0.3817[/C][C]0.352023[/C][/ROW]
[ROW][C]24[/C][C]0.247429[/C][C]1.9005[/C][C]0.031126[/C][/ROW]
[ROW][C]25[/C][C]0.089037[/C][C]0.6839[/C][C]0.248356[/C][/ROW]
[ROW][C]26[/C][C]-0.054037[/C][C]-0.4151[/C][C]0.339798[/C][/ROW]
[ROW][C]27[/C][C]-0.006447[/C][C]-0.0495[/C][C]0.480337[/C][/ROW]
[ROW][C]28[/C][C]0.102681[/C][C]0.7887[/C][C]0.216721[/C][/ROW]
[ROW][C]29[/C][C]0.091778[/C][C]0.705[/C][C]0.241804[/C][/ROW]
[ROW][C]30[/C][C]-0.016463[/C][C]-0.1265[/C][C]0.449902[/C][/ROW]
[ROW][C]31[/C][C]-0.110079[/C][C]-0.8455[/C][C]0.200614[/C][/ROW]
[ROW][C]32[/C][C]-0.100212[/C][C]-0.7697[/C][C]0.222263[/C][/ROW]
[ROW][C]33[/C][C]-0.086797[/C][C]-0.6667[/C][C]0.253782[/C][/ROW]
[ROW][C]34[/C][C]-0.125649[/C][C]-0.9651[/C][C]0.16921[/C][/ROW]
[ROW][C]35[/C][C]-0.120618[/C][C]-0.9265[/C][C]0.178984[/C][/ROW]
[ROW][C]36[/C][C]0.02249[/C][C]0.1728[/C][C]0.431719[/C][/ROW]
[ROW][C]37[/C][C]0.122773[/C][C]0.943[/C][C]0.174754[/C][/ROW]
[ROW][C]38[/C][C]0.020662[/C][C]0.1587[/C][C]0.43722[/C][/ROW]
[ROW][C]39[/C][C]-0.065377[/C][C]-0.5022[/C][C]0.308709[/C][/ROW]
[ROW][C]40[/C][C]-0.018408[/C][C]-0.1414[/C][C]0.444021[/C][/ROW]
[ROW][C]41[/C][C]0.010992[/C][C]0.0844[/C][C]0.466501[/C][/ROW]
[ROW][C]42[/C][C]0.002315[/C][C]0.0178[/C][C]0.492937[/C][/ROW]
[ROW][C]43[/C][C]-0.050849[/C][C]-0.3906[/C][C]0.348758[/C][/ROW]
[ROW][C]44[/C][C]-0.125022[/C][C]-0.9603[/C][C]0.170409[/C][/ROW]
[ROW][C]45[/C][C]-0.154696[/C][C]-1.1882[/C][C]0.11975[/C][/ROW]
[ROW][C]46[/C][C]-0.116401[/C][C]-0.8941[/C][C]0.187452[/C][/ROW]
[ROW][C]47[/C][C]0.036168[/C][C]0.2778[/C][C]0.391064[/C][/ROW]
[ROW][C]48[/C][C]0.144621[/C][C]1.1109[/C][C]0.135569[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232552&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232552&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
10.5190363.98689.3e-05
20.0296040.22740.410453
30.0439290.33740.368498
40.1967821.51150.067998
50.1810951.3910.084722
6-0.001027-0.00790.496867
7-0.148127-1.13780.129905
8-0.13244-1.01730.156584
9-0.081381-0.62510.267158
10-0.034958-0.26850.39462
110.0573270.44030.33065
120.0747590.57420.283995
13-0.00971-0.07460.4704
14-0.081993-0.62980.26563
15-0.087664-0.67340.251673
16-0.073525-0.56480.28719
17-0.127489-0.97930.165725
18-0.163977-1.25950.106399
19-0.140185-1.07680.14298
20-0.119514-0.9180.181176
21-0.134708-1.03470.152513
22-0.131874-1.01290.157611
230.0496950.38170.352023
240.2474291.90050.031126
250.0890370.68390.248356
26-0.054037-0.41510.339798
27-0.006447-0.04950.480337
280.1026810.78870.216721
290.0917780.7050.241804
30-0.016463-0.12650.449902
31-0.110079-0.84550.200614
32-0.100212-0.76970.222263
33-0.086797-0.66670.253782
34-0.125649-0.96510.16921
35-0.120618-0.92650.178984
360.022490.17280.431719
370.1227730.9430.174754
380.0206620.15870.43722
39-0.065377-0.50220.308709
40-0.018408-0.14140.444021
410.0109920.08440.466501
420.0023150.01780.492937
43-0.050849-0.39060.348758
44-0.125022-0.96030.170409
45-0.154696-1.18820.11975
46-0.116401-0.89410.187452
470.0361680.27780.391064
480.1446211.11090.135569







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.5190363.98689.3e-05
2-0.328215-2.52110.007211
30.2974022.28440.012981
40.0397710.30550.380536
50.037970.29170.385787
6-0.119748-0.91980.180711
7-0.094759-0.72790.234789
8-0.04336-0.33310.370136
9-0.074236-0.57020.285348
100.0685730.52670.300183
110.1404651.07890.142505
120.0094230.07240.471271
13-0.033606-0.25810.398602
14-0.085089-0.65360.257961
15-0.097666-0.75020.228062
16-0.095789-0.73580.232393
17-0.120316-0.92420.179582
180.0204530.15710.437849
19-0.008663-0.06650.473584
20-0.010033-0.07710.469417
21-0.052301-0.40170.344665
22-0.055073-0.4230.336909
230.1969481.51280.067836
240.1276020.98010.165513
25-0.196686-1.51080.068092
260.1261650.96910.168228
27-0.129929-0.9980.161177
280.0593040.45550.325202
29-0.072091-0.55370.290924
300.0345640.26550.395778
31-0.050496-0.38790.349755
32-0.033905-0.26040.397721
33-0.079309-0.60920.272371
34-0.139191-1.06910.144679
35-0.099575-0.76480.223705
360.2132271.63780.05339
370.0427460.32830.371908
38-0.045322-0.34810.364494
390.0109090.08380.466751
40-0.087188-0.66970.252831
41-0.076754-0.58960.278869
42-0.007244-0.05560.477907
43-0.01201-0.09230.463406
44-0.026071-0.20030.420985
45-0.026244-0.20160.420468
460.0547750.42070.33774
470.0479360.36820.357019
48-0.052913-0.40640.342949

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.519036 & 3.9868 & 9.3e-05 \tabularnewline
2 & -0.328215 & -2.5211 & 0.007211 \tabularnewline
3 & 0.297402 & 2.2844 & 0.012981 \tabularnewline
4 & 0.039771 & 0.3055 & 0.380536 \tabularnewline
5 & 0.03797 & 0.2917 & 0.385787 \tabularnewline
6 & -0.119748 & -0.9198 & 0.180711 \tabularnewline
7 & -0.094759 & -0.7279 & 0.234789 \tabularnewline
8 & -0.04336 & -0.3331 & 0.370136 \tabularnewline
9 & -0.074236 & -0.5702 & 0.285348 \tabularnewline
10 & 0.068573 & 0.5267 & 0.300183 \tabularnewline
11 & 0.140465 & 1.0789 & 0.142505 \tabularnewline
12 & 0.009423 & 0.0724 & 0.471271 \tabularnewline
13 & -0.033606 & -0.2581 & 0.398602 \tabularnewline
14 & -0.085089 & -0.6536 & 0.257961 \tabularnewline
15 & -0.097666 & -0.7502 & 0.228062 \tabularnewline
16 & -0.095789 & -0.7358 & 0.232393 \tabularnewline
17 & -0.120316 & -0.9242 & 0.179582 \tabularnewline
18 & 0.020453 & 0.1571 & 0.437849 \tabularnewline
19 & -0.008663 & -0.0665 & 0.473584 \tabularnewline
20 & -0.010033 & -0.0771 & 0.469417 \tabularnewline
21 & -0.052301 & -0.4017 & 0.344665 \tabularnewline
22 & -0.055073 & -0.423 & 0.336909 \tabularnewline
23 & 0.196948 & 1.5128 & 0.067836 \tabularnewline
24 & 0.127602 & 0.9801 & 0.165513 \tabularnewline
25 & -0.196686 & -1.5108 & 0.068092 \tabularnewline
26 & 0.126165 & 0.9691 & 0.168228 \tabularnewline
27 & -0.129929 & -0.998 & 0.161177 \tabularnewline
28 & 0.059304 & 0.4555 & 0.325202 \tabularnewline
29 & -0.072091 & -0.5537 & 0.290924 \tabularnewline
30 & 0.034564 & 0.2655 & 0.395778 \tabularnewline
31 & -0.050496 & -0.3879 & 0.349755 \tabularnewline
32 & -0.033905 & -0.2604 & 0.397721 \tabularnewline
33 & -0.079309 & -0.6092 & 0.272371 \tabularnewline
34 & -0.139191 & -1.0691 & 0.144679 \tabularnewline
35 & -0.099575 & -0.7648 & 0.223705 \tabularnewline
36 & 0.213227 & 1.6378 & 0.05339 \tabularnewline
37 & 0.042746 & 0.3283 & 0.371908 \tabularnewline
38 & -0.045322 & -0.3481 & 0.364494 \tabularnewline
39 & 0.010909 & 0.0838 & 0.466751 \tabularnewline
40 & -0.087188 & -0.6697 & 0.252831 \tabularnewline
41 & -0.076754 & -0.5896 & 0.278869 \tabularnewline
42 & -0.007244 & -0.0556 & 0.477907 \tabularnewline
43 & -0.01201 & -0.0923 & 0.463406 \tabularnewline
44 & -0.026071 & -0.2003 & 0.420985 \tabularnewline
45 & -0.026244 & -0.2016 & 0.420468 \tabularnewline
46 & 0.054775 & 0.4207 & 0.33774 \tabularnewline
47 & 0.047936 & 0.3682 & 0.357019 \tabularnewline
48 & -0.052913 & -0.4064 & 0.342949 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232552&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]0.519036[/C][C]3.9868[/C][C]9.3e-05[/C][/ROW]
[ROW][C]2[/C][C]-0.328215[/C][C]-2.5211[/C][C]0.007211[/C][/ROW]
[ROW][C]3[/C][C]0.297402[/C][C]2.2844[/C][C]0.012981[/C][/ROW]
[ROW][C]4[/C][C]0.039771[/C][C]0.3055[/C][C]0.380536[/C][/ROW]
[ROW][C]5[/C][C]0.03797[/C][C]0.2917[/C][C]0.385787[/C][/ROW]
[ROW][C]6[/C][C]-0.119748[/C][C]-0.9198[/C][C]0.180711[/C][/ROW]
[ROW][C]7[/C][C]-0.094759[/C][C]-0.7279[/C][C]0.234789[/C][/ROW]
[ROW][C]8[/C][C]-0.04336[/C][C]-0.3331[/C][C]0.370136[/C][/ROW]
[ROW][C]9[/C][C]-0.074236[/C][C]-0.5702[/C][C]0.285348[/C][/ROW]
[ROW][C]10[/C][C]0.068573[/C][C]0.5267[/C][C]0.300183[/C][/ROW]
[ROW][C]11[/C][C]0.140465[/C][C]1.0789[/C][C]0.142505[/C][/ROW]
[ROW][C]12[/C][C]0.009423[/C][C]0.0724[/C][C]0.471271[/C][/ROW]
[ROW][C]13[/C][C]-0.033606[/C][C]-0.2581[/C][C]0.398602[/C][/ROW]
[ROW][C]14[/C][C]-0.085089[/C][C]-0.6536[/C][C]0.257961[/C][/ROW]
[ROW][C]15[/C][C]-0.097666[/C][C]-0.7502[/C][C]0.228062[/C][/ROW]
[ROW][C]16[/C][C]-0.095789[/C][C]-0.7358[/C][C]0.232393[/C][/ROW]
[ROW][C]17[/C][C]-0.120316[/C][C]-0.9242[/C][C]0.179582[/C][/ROW]
[ROW][C]18[/C][C]0.020453[/C][C]0.1571[/C][C]0.437849[/C][/ROW]
[ROW][C]19[/C][C]-0.008663[/C][C]-0.0665[/C][C]0.473584[/C][/ROW]
[ROW][C]20[/C][C]-0.010033[/C][C]-0.0771[/C][C]0.469417[/C][/ROW]
[ROW][C]21[/C][C]-0.052301[/C][C]-0.4017[/C][C]0.344665[/C][/ROW]
[ROW][C]22[/C][C]-0.055073[/C][C]-0.423[/C][C]0.336909[/C][/ROW]
[ROW][C]23[/C][C]0.196948[/C][C]1.5128[/C][C]0.067836[/C][/ROW]
[ROW][C]24[/C][C]0.127602[/C][C]0.9801[/C][C]0.165513[/C][/ROW]
[ROW][C]25[/C][C]-0.196686[/C][C]-1.5108[/C][C]0.068092[/C][/ROW]
[ROW][C]26[/C][C]0.126165[/C][C]0.9691[/C][C]0.168228[/C][/ROW]
[ROW][C]27[/C][C]-0.129929[/C][C]-0.998[/C][C]0.161177[/C][/ROW]
[ROW][C]28[/C][C]0.059304[/C][C]0.4555[/C][C]0.325202[/C][/ROW]
[ROW][C]29[/C][C]-0.072091[/C][C]-0.5537[/C][C]0.290924[/C][/ROW]
[ROW][C]30[/C][C]0.034564[/C][C]0.2655[/C][C]0.395778[/C][/ROW]
[ROW][C]31[/C][C]-0.050496[/C][C]-0.3879[/C][C]0.349755[/C][/ROW]
[ROW][C]32[/C][C]-0.033905[/C][C]-0.2604[/C][C]0.397721[/C][/ROW]
[ROW][C]33[/C][C]-0.079309[/C][C]-0.6092[/C][C]0.272371[/C][/ROW]
[ROW][C]34[/C][C]-0.139191[/C][C]-1.0691[/C][C]0.144679[/C][/ROW]
[ROW][C]35[/C][C]-0.099575[/C][C]-0.7648[/C][C]0.223705[/C][/ROW]
[ROW][C]36[/C][C]0.213227[/C][C]1.6378[/C][C]0.05339[/C][/ROW]
[ROW][C]37[/C][C]0.042746[/C][C]0.3283[/C][C]0.371908[/C][/ROW]
[ROW][C]38[/C][C]-0.045322[/C][C]-0.3481[/C][C]0.364494[/C][/ROW]
[ROW][C]39[/C][C]0.010909[/C][C]0.0838[/C][C]0.466751[/C][/ROW]
[ROW][C]40[/C][C]-0.087188[/C][C]-0.6697[/C][C]0.252831[/C][/ROW]
[ROW][C]41[/C][C]-0.076754[/C][C]-0.5896[/C][C]0.278869[/C][/ROW]
[ROW][C]42[/C][C]-0.007244[/C][C]-0.0556[/C][C]0.477907[/C][/ROW]
[ROW][C]43[/C][C]-0.01201[/C][C]-0.0923[/C][C]0.463406[/C][/ROW]
[ROW][C]44[/C][C]-0.026071[/C][C]-0.2003[/C][C]0.420985[/C][/ROW]
[ROW][C]45[/C][C]-0.026244[/C][C]-0.2016[/C][C]0.420468[/C][/ROW]
[ROW][C]46[/C][C]0.054775[/C][C]0.4207[/C][C]0.33774[/C][/ROW]
[ROW][C]47[/C][C]0.047936[/C][C]0.3682[/C][C]0.357019[/C][/ROW]
[ROW][C]48[/C][C]-0.052913[/C][C]-0.4064[/C][C]0.342949[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232552&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232552&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
10.5190363.98689.3e-05
2-0.328215-2.52110.007211
30.2974022.28440.012981
40.0397710.30550.380536
50.037970.29170.385787
6-0.119748-0.91980.180711
7-0.094759-0.72790.234789
8-0.04336-0.33310.370136
9-0.074236-0.57020.285348
100.0685730.52670.300183
110.1404651.07890.142505
120.0094230.07240.471271
13-0.033606-0.25810.398602
14-0.085089-0.65360.257961
15-0.097666-0.75020.228062
16-0.095789-0.73580.232393
17-0.120316-0.92420.179582
180.0204530.15710.437849
19-0.008663-0.06650.473584
20-0.010033-0.07710.469417
21-0.052301-0.40170.344665
22-0.055073-0.4230.336909
230.1969481.51280.067836
240.1276020.98010.165513
25-0.196686-1.51080.068092
260.1261650.96910.168228
27-0.129929-0.9980.161177
280.0593040.45550.325202
29-0.072091-0.55370.290924
300.0345640.26550.395778
31-0.050496-0.38790.349755
32-0.033905-0.26040.397721
33-0.079309-0.60920.272371
34-0.139191-1.06910.144679
35-0.099575-0.76480.223705
360.2132271.63780.05339
370.0427460.32830.371908
38-0.045322-0.34810.364494
390.0109090.08380.466751
40-0.087188-0.66970.252831
41-0.076754-0.58960.278869
42-0.007244-0.05560.477907
43-0.01201-0.09230.463406
44-0.026071-0.20030.420985
45-0.026244-0.20160.420468
460.0547750.42070.33774
470.0479360.36820.357019
48-0.052913-0.40640.342949



Parameters (Session):
par1 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ; par8 = ;
R code (references can be found in the software module):
par8 <- ''
par7 <- '0.95'
par6 <- 'White Noise'
par5 <- '12'
par4 <- '0'
par3 <- '0'
par2 <- '1'
par1 <- '48'
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 (par8 != '') par8 <- as.numeric(par8)
ox <- x
if (par8 == '') {
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
} else {
x <- log(x,base=par8)
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='picts.png')
op <- par(mfrow=c(2,1))
plot(ox,type='l',main='Original Time Series',xlab='time',ylab='value')
if (par8=='') {
mytitle <- paste('Working Time Series (lambda=',par2,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
} else {
mytitle <- paste('Working Time Series (base=',par8,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(base=',par8,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
}
plot(x,type='l', main=mytitle,xlab='time',ylab='value')
par(op)
dev.off()
bitmap(file='pic1.png')
racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=mysub)
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF',sub=mysub)
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')