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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, 07 Jun 2009 04:17:50 -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/Jun/07/t1244369954qpu9842azbr3edb.htm/, Retrieved Mon, 13 May 2024 03:00:00 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=42110, Retrieved Mon, 13 May 2024 03:00:00 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact137
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [thomas van eester...] [2009-06-07 10:17:50] [95fcaf7e4175e3dfad928879b5f9d7c2] [Current]
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Dataseries X:
0.63
0.63
0.63
0.64
0.63
0.63
0.63
0.63
0.63
0.64
0.65
0.65
0.65
0.65
0.65
0.66
0.65
0.66
0.66
0.66
0.66
0.68
0.69
0.7
0.71
0.71
0.7
0.7
0.7
0.7
0.71
0.7
0.7
0.7
0.69
0.7
0.69
0.69
0.69
0.7
0.7
0.71
0.71
0.71
0.72
0.73
0.74
0.74
0.74
0.74
0.75
0.75
0.76
0.76
0.76
0.76
0.76
0.77
0.77
0.78
0.78
0.78
0.78
0.78
0.78
0.78
0.8
0.8
0.8
0.81
0.81
0.81
0.8
0.81
0.81
0.81
0.8
0.82
0.83
0.83




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42110&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42110&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42110&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'George Udny Yule' @ 72.249.76.132







Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.138815-1.23380.110464
20.0558170.49610.310597
3-0.060723-0.53970.295455
40.0050540.04490.482143
5-0.104975-0.9330.176822
6-0.052563-0.46720.320824
70.0879220.78150.218431
8-0.056034-0.4980.30992
90.0303050.26940.394178
10-0.235309-2.09150.019849
110.0946890.84160.201271
120.0658810.58560.279919
13-0.152441-1.35490.089652
140.0219720.19530.422834
15-0.054129-0.48110.315883
16-0.062719-0.55750.289397
17-0.13882-1.23390.110457
180.1031050.91640.181118
19-0.196437-1.7460.042352
200.1537811.36680.087776
210.0101680.09040.464108
220.0965070.85780.196806
23-0.026887-0.2390.405872
240.0323790.28780.387131
250.0577170.5130.304692
26-0.140386-1.24780.1079
270.1286121.14310.128218
28-0.028709-0.25520.399628
290.1049230.93260.176941
30-0.045544-0.40480.343356
311.3e-051e-040.499954
320.0253510.22530.411154
33-0.057604-0.5120.305041
340.0218810.19450.423149
35-0.047366-0.4210.337448
360.1945581.72930.043833
37-0.07791-0.69250.245333
380.0827950.73590.231987
39-0.040599-0.36090.359586
40-0.069408-0.61690.269534
41-0.111582-0.99180.162172
420.0761970.67730.250113
43-0.006759-0.06010.476125
44-0.008494-0.07550.470006
450.1117720.99350.161761
46-0.106549-0.9470.173255
470.0270820.24070.405202
48-0.001727-0.01530.493898

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.138815 & -1.2338 & 0.110464 \tabularnewline
2 & 0.055817 & 0.4961 & 0.310597 \tabularnewline
3 & -0.060723 & -0.5397 & 0.295455 \tabularnewline
4 & 0.005054 & 0.0449 & 0.482143 \tabularnewline
5 & -0.104975 & -0.933 & 0.176822 \tabularnewline
6 & -0.052563 & -0.4672 & 0.320824 \tabularnewline
7 & 0.087922 & 0.7815 & 0.218431 \tabularnewline
8 & -0.056034 & -0.498 & 0.30992 \tabularnewline
9 & 0.030305 & 0.2694 & 0.394178 \tabularnewline
10 & -0.235309 & -2.0915 & 0.019849 \tabularnewline
11 & 0.094689 & 0.8416 & 0.201271 \tabularnewline
12 & 0.065881 & 0.5856 & 0.279919 \tabularnewline
13 & -0.152441 & -1.3549 & 0.089652 \tabularnewline
14 & 0.021972 & 0.1953 & 0.422834 \tabularnewline
15 & -0.054129 & -0.4811 & 0.315883 \tabularnewline
16 & -0.062719 & -0.5575 & 0.289397 \tabularnewline
17 & -0.13882 & -1.2339 & 0.110457 \tabularnewline
18 & 0.103105 & 0.9164 & 0.181118 \tabularnewline
19 & -0.196437 & -1.746 & 0.042352 \tabularnewline
20 & 0.153781 & 1.3668 & 0.087776 \tabularnewline
21 & 0.010168 & 0.0904 & 0.464108 \tabularnewline
22 & 0.096507 & 0.8578 & 0.196806 \tabularnewline
23 & -0.026887 & -0.239 & 0.405872 \tabularnewline
24 & 0.032379 & 0.2878 & 0.387131 \tabularnewline
25 & 0.057717 & 0.513 & 0.304692 \tabularnewline
26 & -0.140386 & -1.2478 & 0.1079 \tabularnewline
27 & 0.128612 & 1.1431 & 0.128218 \tabularnewline
28 & -0.028709 & -0.2552 & 0.399628 \tabularnewline
29 & 0.104923 & 0.9326 & 0.176941 \tabularnewline
30 & -0.045544 & -0.4048 & 0.343356 \tabularnewline
31 & 1.3e-05 & 1e-04 & 0.499954 \tabularnewline
32 & 0.025351 & 0.2253 & 0.411154 \tabularnewline
33 & -0.057604 & -0.512 & 0.305041 \tabularnewline
34 & 0.021881 & 0.1945 & 0.423149 \tabularnewline
35 & -0.047366 & -0.421 & 0.337448 \tabularnewline
36 & 0.194558 & 1.7293 & 0.043833 \tabularnewline
37 & -0.07791 & -0.6925 & 0.245333 \tabularnewline
38 & 0.082795 & 0.7359 & 0.231987 \tabularnewline
39 & -0.040599 & -0.3609 & 0.359586 \tabularnewline
40 & -0.069408 & -0.6169 & 0.269534 \tabularnewline
41 & -0.111582 & -0.9918 & 0.162172 \tabularnewline
42 & 0.076197 & 0.6773 & 0.250113 \tabularnewline
43 & -0.006759 & -0.0601 & 0.476125 \tabularnewline
44 & -0.008494 & -0.0755 & 0.470006 \tabularnewline
45 & 0.111772 & 0.9935 & 0.161761 \tabularnewline
46 & -0.106549 & -0.947 & 0.173255 \tabularnewline
47 & 0.027082 & 0.2407 & 0.405202 \tabularnewline
48 & -0.001727 & -0.0153 & 0.493898 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42110&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]-0.138815[/C][C]-1.2338[/C][C]0.110464[/C][/ROW]
[ROW][C]2[/C][C]0.055817[/C][C]0.4961[/C][C]0.310597[/C][/ROW]
[ROW][C]3[/C][C]-0.060723[/C][C]-0.5397[/C][C]0.295455[/C][/ROW]
[ROW][C]4[/C][C]0.005054[/C][C]0.0449[/C][C]0.482143[/C][/ROW]
[ROW][C]5[/C][C]-0.104975[/C][C]-0.933[/C][C]0.176822[/C][/ROW]
[ROW][C]6[/C][C]-0.052563[/C][C]-0.4672[/C][C]0.320824[/C][/ROW]
[ROW][C]7[/C][C]0.087922[/C][C]0.7815[/C][C]0.218431[/C][/ROW]
[ROW][C]8[/C][C]-0.056034[/C][C]-0.498[/C][C]0.30992[/C][/ROW]
[ROW][C]9[/C][C]0.030305[/C][C]0.2694[/C][C]0.394178[/C][/ROW]
[ROW][C]10[/C][C]-0.235309[/C][C]-2.0915[/C][C]0.019849[/C][/ROW]
[ROW][C]11[/C][C]0.094689[/C][C]0.8416[/C][C]0.201271[/C][/ROW]
[ROW][C]12[/C][C]0.065881[/C][C]0.5856[/C][C]0.279919[/C][/ROW]
[ROW][C]13[/C][C]-0.152441[/C][C]-1.3549[/C][C]0.089652[/C][/ROW]
[ROW][C]14[/C][C]0.021972[/C][C]0.1953[/C][C]0.422834[/C][/ROW]
[ROW][C]15[/C][C]-0.054129[/C][C]-0.4811[/C][C]0.315883[/C][/ROW]
[ROW][C]16[/C][C]-0.062719[/C][C]-0.5575[/C][C]0.289397[/C][/ROW]
[ROW][C]17[/C][C]-0.13882[/C][C]-1.2339[/C][C]0.110457[/C][/ROW]
[ROW][C]18[/C][C]0.103105[/C][C]0.9164[/C][C]0.181118[/C][/ROW]
[ROW][C]19[/C][C]-0.196437[/C][C]-1.746[/C][C]0.042352[/C][/ROW]
[ROW][C]20[/C][C]0.153781[/C][C]1.3668[/C][C]0.087776[/C][/ROW]
[ROW][C]21[/C][C]0.010168[/C][C]0.0904[/C][C]0.464108[/C][/ROW]
[ROW][C]22[/C][C]0.096507[/C][C]0.8578[/C][C]0.196806[/C][/ROW]
[ROW][C]23[/C][C]-0.026887[/C][C]-0.239[/C][C]0.405872[/C][/ROW]
[ROW][C]24[/C][C]0.032379[/C][C]0.2878[/C][C]0.387131[/C][/ROW]
[ROW][C]25[/C][C]0.057717[/C][C]0.513[/C][C]0.304692[/C][/ROW]
[ROW][C]26[/C][C]-0.140386[/C][C]-1.2478[/C][C]0.1079[/C][/ROW]
[ROW][C]27[/C][C]0.128612[/C][C]1.1431[/C][C]0.128218[/C][/ROW]
[ROW][C]28[/C][C]-0.028709[/C][C]-0.2552[/C][C]0.399628[/C][/ROW]
[ROW][C]29[/C][C]0.104923[/C][C]0.9326[/C][C]0.176941[/C][/ROW]
[ROW][C]30[/C][C]-0.045544[/C][C]-0.4048[/C][C]0.343356[/C][/ROW]
[ROW][C]31[/C][C]1.3e-05[/C][C]1e-04[/C][C]0.499954[/C][/ROW]
[ROW][C]32[/C][C]0.025351[/C][C]0.2253[/C][C]0.411154[/C][/ROW]
[ROW][C]33[/C][C]-0.057604[/C][C]-0.512[/C][C]0.305041[/C][/ROW]
[ROW][C]34[/C][C]0.021881[/C][C]0.1945[/C][C]0.423149[/C][/ROW]
[ROW][C]35[/C][C]-0.047366[/C][C]-0.421[/C][C]0.337448[/C][/ROW]
[ROW][C]36[/C][C]0.194558[/C][C]1.7293[/C][C]0.043833[/C][/ROW]
[ROW][C]37[/C][C]-0.07791[/C][C]-0.6925[/C][C]0.245333[/C][/ROW]
[ROW][C]38[/C][C]0.082795[/C][C]0.7359[/C][C]0.231987[/C][/ROW]
[ROW][C]39[/C][C]-0.040599[/C][C]-0.3609[/C][C]0.359586[/C][/ROW]
[ROW][C]40[/C][C]-0.069408[/C][C]-0.6169[/C][C]0.269534[/C][/ROW]
[ROW][C]41[/C][C]-0.111582[/C][C]-0.9918[/C][C]0.162172[/C][/ROW]
[ROW][C]42[/C][C]0.076197[/C][C]0.6773[/C][C]0.250113[/C][/ROW]
[ROW][C]43[/C][C]-0.006759[/C][C]-0.0601[/C][C]0.476125[/C][/ROW]
[ROW][C]44[/C][C]-0.008494[/C][C]-0.0755[/C][C]0.470006[/C][/ROW]
[ROW][C]45[/C][C]0.111772[/C][C]0.9935[/C][C]0.161761[/C][/ROW]
[ROW][C]46[/C][C]-0.106549[/C][C]-0.947[/C][C]0.173255[/C][/ROW]
[ROW][C]47[/C][C]0.027082[/C][C]0.2407[/C][C]0.405202[/C][/ROW]
[ROW][C]48[/C][C]-0.001727[/C][C]-0.0153[/C][C]0.493898[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42110&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42110&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
1-0.138815-1.23380.110464
20.0558170.49610.310597
3-0.060723-0.53970.295455
40.0050540.04490.482143
5-0.104975-0.9330.176822
6-0.052563-0.46720.320824
70.0879220.78150.218431
8-0.056034-0.4980.30992
90.0303050.26940.394178
10-0.235309-2.09150.019849
110.0946890.84160.201271
120.0658810.58560.279919
13-0.152441-1.35490.089652
140.0219720.19530.422834
15-0.054129-0.48110.315883
16-0.062719-0.55750.289397
17-0.13882-1.23390.110457
180.1031050.91640.181118
19-0.196437-1.7460.042352
200.1537811.36680.087776
210.0101680.09040.464108
220.0965070.85780.196806
23-0.026887-0.2390.405872
240.0323790.28780.387131
250.0577170.5130.304692
26-0.140386-1.24780.1079
270.1286121.14310.128218
28-0.028709-0.25520.399628
290.1049230.93260.176941
30-0.045544-0.40480.343356
311.3e-051e-040.499954
320.0253510.22530.411154
33-0.057604-0.5120.305041
340.0218810.19450.423149
35-0.047366-0.4210.337448
360.1945581.72930.043833
37-0.07791-0.69250.245333
380.0827950.73590.231987
39-0.040599-0.36090.359586
40-0.069408-0.61690.269534
41-0.111582-0.99180.162172
420.0761970.67730.250113
43-0.006759-0.06010.476125
44-0.008494-0.07550.470006
450.1117720.99350.161761
46-0.106549-0.9470.173255
470.0270820.24070.405202
48-0.001727-0.01530.493898







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.138815-1.23380.110464
20.0372650.33120.370678
3-0.049104-0.43640.331853
4-0.011751-0.10440.458542
5-0.10362-0.9210.179929
6-0.085434-0.75940.224951
70.079560.70710.240778
8-0.041348-0.36750.357111
90.0017150.01520.493937
10-0.242741-2.15750.017001
110.015680.13940.444756
120.1239361.10160.136997
13-0.176934-1.57260.059902
14-0.043381-0.38560.350421
15-0.091703-0.81510.208741
16-0.124776-1.1090.13539
17-0.112389-0.99890.160438
180.0001670.00150.499409
19-0.266124-2.36540.010232
200.0239690.2130.415923
210.0266280.23670.40676
220.0660350.58690.279463
23-0.124338-1.10510.136226
24-0.03308-0.2940.384758
250.0623540.55420.290498
26-0.198233-1.76190.040975
270.0557580.49560.310781
280.0259620.23080.40905
29-0.081025-0.72020.236774
300.0142970.12710.449604
310.0119650.10630.45779
32-0.085903-0.76350.223713
33-0.08234-0.73190.233211
34-0.013514-0.12010.452348
35-0.014357-0.12760.449391
360.0685690.60950.271985
370.0827280.73530.232166
380.105760.940.175037
39-0.046215-0.41080.341178
40-0.056436-0.50160.308666
41-0.056921-0.50590.307158
420.0422640.37570.354091
43-0.012021-0.10680.45759
440.0608320.54070.295121
450.0825120.73340.232749
46-0.009348-0.08310.466995
470.0260460.23150.408763
480.0895210.79570.214301

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.138815 & -1.2338 & 0.110464 \tabularnewline
2 & 0.037265 & 0.3312 & 0.370678 \tabularnewline
3 & -0.049104 & -0.4364 & 0.331853 \tabularnewline
4 & -0.011751 & -0.1044 & 0.458542 \tabularnewline
5 & -0.10362 & -0.921 & 0.179929 \tabularnewline
6 & -0.085434 & -0.7594 & 0.224951 \tabularnewline
7 & 0.07956 & 0.7071 & 0.240778 \tabularnewline
8 & -0.041348 & -0.3675 & 0.357111 \tabularnewline
9 & 0.001715 & 0.0152 & 0.493937 \tabularnewline
10 & -0.242741 & -2.1575 & 0.017001 \tabularnewline
11 & 0.01568 & 0.1394 & 0.444756 \tabularnewline
12 & 0.123936 & 1.1016 & 0.136997 \tabularnewline
13 & -0.176934 & -1.5726 & 0.059902 \tabularnewline
14 & -0.043381 & -0.3856 & 0.350421 \tabularnewline
15 & -0.091703 & -0.8151 & 0.208741 \tabularnewline
16 & -0.124776 & -1.109 & 0.13539 \tabularnewline
17 & -0.112389 & -0.9989 & 0.160438 \tabularnewline
18 & 0.000167 & 0.0015 & 0.499409 \tabularnewline
19 & -0.266124 & -2.3654 & 0.010232 \tabularnewline
20 & 0.023969 & 0.213 & 0.415923 \tabularnewline
21 & 0.026628 & 0.2367 & 0.40676 \tabularnewline
22 & 0.066035 & 0.5869 & 0.279463 \tabularnewline
23 & -0.124338 & -1.1051 & 0.136226 \tabularnewline
24 & -0.03308 & -0.294 & 0.384758 \tabularnewline
25 & 0.062354 & 0.5542 & 0.290498 \tabularnewline
26 & -0.198233 & -1.7619 & 0.040975 \tabularnewline
27 & 0.055758 & 0.4956 & 0.310781 \tabularnewline
28 & 0.025962 & 0.2308 & 0.40905 \tabularnewline
29 & -0.081025 & -0.7202 & 0.236774 \tabularnewline
30 & 0.014297 & 0.1271 & 0.449604 \tabularnewline
31 & 0.011965 & 0.1063 & 0.45779 \tabularnewline
32 & -0.085903 & -0.7635 & 0.223713 \tabularnewline
33 & -0.08234 & -0.7319 & 0.233211 \tabularnewline
34 & -0.013514 & -0.1201 & 0.452348 \tabularnewline
35 & -0.014357 & -0.1276 & 0.449391 \tabularnewline
36 & 0.068569 & 0.6095 & 0.271985 \tabularnewline
37 & 0.082728 & 0.7353 & 0.232166 \tabularnewline
38 & 0.10576 & 0.94 & 0.175037 \tabularnewline
39 & -0.046215 & -0.4108 & 0.341178 \tabularnewline
40 & -0.056436 & -0.5016 & 0.308666 \tabularnewline
41 & -0.056921 & -0.5059 & 0.307158 \tabularnewline
42 & 0.042264 & 0.3757 & 0.354091 \tabularnewline
43 & -0.012021 & -0.1068 & 0.45759 \tabularnewline
44 & 0.060832 & 0.5407 & 0.295121 \tabularnewline
45 & 0.082512 & 0.7334 & 0.232749 \tabularnewline
46 & -0.009348 & -0.0831 & 0.466995 \tabularnewline
47 & 0.026046 & 0.2315 & 0.408763 \tabularnewline
48 & 0.089521 & 0.7957 & 0.214301 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42110&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]-0.138815[/C][C]-1.2338[/C][C]0.110464[/C][/ROW]
[ROW][C]2[/C][C]0.037265[/C][C]0.3312[/C][C]0.370678[/C][/ROW]
[ROW][C]3[/C][C]-0.049104[/C][C]-0.4364[/C][C]0.331853[/C][/ROW]
[ROW][C]4[/C][C]-0.011751[/C][C]-0.1044[/C][C]0.458542[/C][/ROW]
[ROW][C]5[/C][C]-0.10362[/C][C]-0.921[/C][C]0.179929[/C][/ROW]
[ROW][C]6[/C][C]-0.085434[/C][C]-0.7594[/C][C]0.224951[/C][/ROW]
[ROW][C]7[/C][C]0.07956[/C][C]0.7071[/C][C]0.240778[/C][/ROW]
[ROW][C]8[/C][C]-0.041348[/C][C]-0.3675[/C][C]0.357111[/C][/ROW]
[ROW][C]9[/C][C]0.001715[/C][C]0.0152[/C][C]0.493937[/C][/ROW]
[ROW][C]10[/C][C]-0.242741[/C][C]-2.1575[/C][C]0.017001[/C][/ROW]
[ROW][C]11[/C][C]0.01568[/C][C]0.1394[/C][C]0.444756[/C][/ROW]
[ROW][C]12[/C][C]0.123936[/C][C]1.1016[/C][C]0.136997[/C][/ROW]
[ROW][C]13[/C][C]-0.176934[/C][C]-1.5726[/C][C]0.059902[/C][/ROW]
[ROW][C]14[/C][C]-0.043381[/C][C]-0.3856[/C][C]0.350421[/C][/ROW]
[ROW][C]15[/C][C]-0.091703[/C][C]-0.8151[/C][C]0.208741[/C][/ROW]
[ROW][C]16[/C][C]-0.124776[/C][C]-1.109[/C][C]0.13539[/C][/ROW]
[ROW][C]17[/C][C]-0.112389[/C][C]-0.9989[/C][C]0.160438[/C][/ROW]
[ROW][C]18[/C][C]0.000167[/C][C]0.0015[/C][C]0.499409[/C][/ROW]
[ROW][C]19[/C][C]-0.266124[/C][C]-2.3654[/C][C]0.010232[/C][/ROW]
[ROW][C]20[/C][C]0.023969[/C][C]0.213[/C][C]0.415923[/C][/ROW]
[ROW][C]21[/C][C]0.026628[/C][C]0.2367[/C][C]0.40676[/C][/ROW]
[ROW][C]22[/C][C]0.066035[/C][C]0.5869[/C][C]0.279463[/C][/ROW]
[ROW][C]23[/C][C]-0.124338[/C][C]-1.1051[/C][C]0.136226[/C][/ROW]
[ROW][C]24[/C][C]-0.03308[/C][C]-0.294[/C][C]0.384758[/C][/ROW]
[ROW][C]25[/C][C]0.062354[/C][C]0.5542[/C][C]0.290498[/C][/ROW]
[ROW][C]26[/C][C]-0.198233[/C][C]-1.7619[/C][C]0.040975[/C][/ROW]
[ROW][C]27[/C][C]0.055758[/C][C]0.4956[/C][C]0.310781[/C][/ROW]
[ROW][C]28[/C][C]0.025962[/C][C]0.2308[/C][C]0.40905[/C][/ROW]
[ROW][C]29[/C][C]-0.081025[/C][C]-0.7202[/C][C]0.236774[/C][/ROW]
[ROW][C]30[/C][C]0.014297[/C][C]0.1271[/C][C]0.449604[/C][/ROW]
[ROW][C]31[/C][C]0.011965[/C][C]0.1063[/C][C]0.45779[/C][/ROW]
[ROW][C]32[/C][C]-0.085903[/C][C]-0.7635[/C][C]0.223713[/C][/ROW]
[ROW][C]33[/C][C]-0.08234[/C][C]-0.7319[/C][C]0.233211[/C][/ROW]
[ROW][C]34[/C][C]-0.013514[/C][C]-0.1201[/C][C]0.452348[/C][/ROW]
[ROW][C]35[/C][C]-0.014357[/C][C]-0.1276[/C][C]0.449391[/C][/ROW]
[ROW][C]36[/C][C]0.068569[/C][C]0.6095[/C][C]0.271985[/C][/ROW]
[ROW][C]37[/C][C]0.082728[/C][C]0.7353[/C][C]0.232166[/C][/ROW]
[ROW][C]38[/C][C]0.10576[/C][C]0.94[/C][C]0.175037[/C][/ROW]
[ROW][C]39[/C][C]-0.046215[/C][C]-0.4108[/C][C]0.341178[/C][/ROW]
[ROW][C]40[/C][C]-0.056436[/C][C]-0.5016[/C][C]0.308666[/C][/ROW]
[ROW][C]41[/C][C]-0.056921[/C][C]-0.5059[/C][C]0.307158[/C][/ROW]
[ROW][C]42[/C][C]0.042264[/C][C]0.3757[/C][C]0.354091[/C][/ROW]
[ROW][C]43[/C][C]-0.012021[/C][C]-0.1068[/C][C]0.45759[/C][/ROW]
[ROW][C]44[/C][C]0.060832[/C][C]0.5407[/C][C]0.295121[/C][/ROW]
[ROW][C]45[/C][C]0.082512[/C][C]0.7334[/C][C]0.232749[/C][/ROW]
[ROW][C]46[/C][C]-0.009348[/C][C]-0.0831[/C][C]0.466995[/C][/ROW]
[ROW][C]47[/C][C]0.026046[/C][C]0.2315[/C][C]0.408763[/C][/ROW]
[ROW][C]48[/C][C]0.089521[/C][C]0.7957[/C][C]0.214301[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42110&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42110&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
1-0.138815-1.23380.110464
20.0372650.33120.370678
3-0.049104-0.43640.331853
4-0.011751-0.10440.458542
5-0.10362-0.9210.179929
6-0.085434-0.75940.224951
70.079560.70710.240778
8-0.041348-0.36750.357111
90.0017150.01520.493937
10-0.242741-2.15750.017001
110.015680.13940.444756
120.1239361.10160.136997
13-0.176934-1.57260.059902
14-0.043381-0.38560.350421
15-0.091703-0.81510.208741
16-0.124776-1.1090.13539
17-0.112389-0.99890.160438
180.0001670.00150.499409
19-0.266124-2.36540.010232
200.0239690.2130.415923
210.0266280.23670.40676
220.0660350.58690.279463
23-0.124338-1.10510.136226
24-0.03308-0.2940.384758
250.0623540.55420.290498
26-0.198233-1.76190.040975
270.0557580.49560.310781
280.0259620.23080.40905
29-0.081025-0.72020.236774
300.0142970.12710.449604
310.0119650.10630.45779
32-0.085903-0.76350.223713
33-0.08234-0.73190.233211
34-0.013514-0.12010.452348
35-0.014357-0.12760.449391
360.0685690.60950.271985
370.0827280.73530.232166
380.105760.940.175037
39-0.046215-0.41080.341178
40-0.056436-0.50160.308666
41-0.056921-0.50590.307158
420.0422640.37570.354091
43-0.012021-0.10680.45759
440.0608320.54070.295121
450.0825120.73340.232749
46-0.009348-0.08310.466995
470.0260460.23150.408763
480.0895210.79570.214301



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