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 computationThu, 13 Dec 2007 03:25:45 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2007/Dec/13/t11975407069aa40exgi9kijh1.htm/, Retrieved Sun, 05 May 2024 16:30:59 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=3399, Retrieved Sun, 05 May 2024 16:30:59 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsfredje
Estimated Impact185
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [ACF ] [2007-12-13 10:25:45] [c40c597932a04e0e43159741c7e63e4c] [Current]
Feedback Forum

Post a new message
Dataseries X:
12398.4
13882.3
15861.5
13286.1
15634.9
14211
13646.8
12224.6
15916.4
16535.9
15796
14418.6
15044.5
14944.2
16754.8
14254
15454.9
15644.8
14568.3
12520.2
14803
15873.2
14755.3
12875.1
14291.1
14205.3
15859.4
15258.9
15498.6
14106.5
15023.6
15761.3
16943
15070.3
13659.6
14768.9
14725.1
15998.1
15370.6
14956.9
15469.7
15101.8
16283.6
16726.5
14968.9
14861
14583.3
15305.8
17903.9
16379.4
15420.3
17870.5
15912.8
13866.5
17823.2
17872
17420.4
16704.4
15991.2
16583.6
17838.7
17209.4




Summary of compuational 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 compuational 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=3399&T=0

[TABLE]
[ROW][C]Summary of compuational 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=3399&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3399&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 compuational 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
017.8740
10.3513032.76620.003732
20.0698320.54990.292195
30.1681721.32420.095151
40.296052.33110.011507
50.2932192.30880.012151
60.3693642.90840.002518
70.1460691.15020.12725
80.0672190.52930.299249
9-0.014036-0.11050.543822
100.0669620.52730.299948
110.1598311.25850.106462
120.2681612.11150.019384
130.0265460.2090.417558
14-0.06691-0.52680.69991
150.0011020.00870.496552
160.1480271.16560.124127
170.1161880.91490.181904
180.1406311.10730.136215
190.0909820.71640.23822
20-0.050267-0.39580.653197
21-0.097914-0.7710.778176
220.0918110.72290.236223
230.1256980.98970.163072
240.0120090.09460.462485
25-0.161297-1.270.895594
26-0.129057-1.01620.843258
27-0.0297-0.23390.592068
280.0388260.30570.380422
29-0.000449-0.00350.501405
30-0.057359-0.45160.673449
31-0.145877-1.14860.872441
32-0.233007-1.83470.964325
33-0.045615-0.35920.639658
340.0817910.6440.260967
35-0.08785-0.69170.754157
36-0.23742-1.86940.966858
37-0.195853-1.54220.935937
38-0.063276-0.49820.689958
39-0.016017-0.12610.549976
40-0.023383-0.18410.572738
41-0.114363-0.90050.814329
42-0.124375-0.97930.834388
43-0.077963-0.61390.729231
44-0.091056-0.7170.761959
45-0.076355-0.60120.725057
460.0641540.50510.307623
47-0.027499-0.21650.585357

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 7.874 & 0 \tabularnewline
1 & 0.351303 & 2.7662 & 0.003732 \tabularnewline
2 & 0.069832 & 0.5499 & 0.292195 \tabularnewline
3 & 0.168172 & 1.3242 & 0.095151 \tabularnewline
4 & 0.29605 & 2.3311 & 0.011507 \tabularnewline
5 & 0.293219 & 2.3088 & 0.012151 \tabularnewline
6 & 0.369364 & 2.9084 & 0.002518 \tabularnewline
7 & 0.146069 & 1.1502 & 0.12725 \tabularnewline
8 & 0.067219 & 0.5293 & 0.299249 \tabularnewline
9 & -0.014036 & -0.1105 & 0.543822 \tabularnewline
10 & 0.066962 & 0.5273 & 0.299948 \tabularnewline
11 & 0.159831 & 1.2585 & 0.106462 \tabularnewline
12 & 0.268161 & 2.1115 & 0.019384 \tabularnewline
13 & 0.026546 & 0.209 & 0.417558 \tabularnewline
14 & -0.06691 & -0.5268 & 0.69991 \tabularnewline
15 & 0.001102 & 0.0087 & 0.496552 \tabularnewline
16 & 0.148027 & 1.1656 & 0.124127 \tabularnewline
17 & 0.116188 & 0.9149 & 0.181904 \tabularnewline
18 & 0.140631 & 1.1073 & 0.136215 \tabularnewline
19 & 0.090982 & 0.7164 & 0.23822 \tabularnewline
20 & -0.050267 & -0.3958 & 0.653197 \tabularnewline
21 & -0.097914 & -0.771 & 0.778176 \tabularnewline
22 & 0.091811 & 0.7229 & 0.236223 \tabularnewline
23 & 0.125698 & 0.9897 & 0.163072 \tabularnewline
24 & 0.012009 & 0.0946 & 0.462485 \tabularnewline
25 & -0.161297 & -1.27 & 0.895594 \tabularnewline
26 & -0.129057 & -1.0162 & 0.843258 \tabularnewline
27 & -0.0297 & -0.2339 & 0.592068 \tabularnewline
28 & 0.038826 & 0.3057 & 0.380422 \tabularnewline
29 & -0.000449 & -0.0035 & 0.501405 \tabularnewline
30 & -0.057359 & -0.4516 & 0.673449 \tabularnewline
31 & -0.145877 & -1.1486 & 0.872441 \tabularnewline
32 & -0.233007 & -1.8347 & 0.964325 \tabularnewline
33 & -0.045615 & -0.3592 & 0.639658 \tabularnewline
34 & 0.081791 & 0.644 & 0.260967 \tabularnewline
35 & -0.08785 & -0.6917 & 0.754157 \tabularnewline
36 & -0.23742 & -1.8694 & 0.966858 \tabularnewline
37 & -0.195853 & -1.5422 & 0.935937 \tabularnewline
38 & -0.063276 & -0.4982 & 0.689958 \tabularnewline
39 & -0.016017 & -0.1261 & 0.549976 \tabularnewline
40 & -0.023383 & -0.1841 & 0.572738 \tabularnewline
41 & -0.114363 & -0.9005 & 0.814329 \tabularnewline
42 & -0.124375 & -0.9793 & 0.834388 \tabularnewline
43 & -0.077963 & -0.6139 & 0.729231 \tabularnewline
44 & -0.091056 & -0.717 & 0.761959 \tabularnewline
45 & -0.076355 & -0.6012 & 0.725057 \tabularnewline
46 & 0.064154 & 0.5051 & 0.307623 \tabularnewline
47 & -0.027499 & -0.2165 & 0.585357 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3399&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]0[/C][C]1[/C][C]7.874[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.351303[/C][C]2.7662[/C][C]0.003732[/C][/ROW]
[ROW][C]2[/C][C]0.069832[/C][C]0.5499[/C][C]0.292195[/C][/ROW]
[ROW][C]3[/C][C]0.168172[/C][C]1.3242[/C][C]0.095151[/C][/ROW]
[ROW][C]4[/C][C]0.29605[/C][C]2.3311[/C][C]0.011507[/C][/ROW]
[ROW][C]5[/C][C]0.293219[/C][C]2.3088[/C][C]0.012151[/C][/ROW]
[ROW][C]6[/C][C]0.369364[/C][C]2.9084[/C][C]0.002518[/C][/ROW]
[ROW][C]7[/C][C]0.146069[/C][C]1.1502[/C][C]0.12725[/C][/ROW]
[ROW][C]8[/C][C]0.067219[/C][C]0.5293[/C][C]0.299249[/C][/ROW]
[ROW][C]9[/C][C]-0.014036[/C][C]-0.1105[/C][C]0.543822[/C][/ROW]
[ROW][C]10[/C][C]0.066962[/C][C]0.5273[/C][C]0.299948[/C][/ROW]
[ROW][C]11[/C][C]0.159831[/C][C]1.2585[/C][C]0.106462[/C][/ROW]
[ROW][C]12[/C][C]0.268161[/C][C]2.1115[/C][C]0.019384[/C][/ROW]
[ROW][C]13[/C][C]0.026546[/C][C]0.209[/C][C]0.417558[/C][/ROW]
[ROW][C]14[/C][C]-0.06691[/C][C]-0.5268[/C][C]0.69991[/C][/ROW]
[ROW][C]15[/C][C]0.001102[/C][C]0.0087[/C][C]0.496552[/C][/ROW]
[ROW][C]16[/C][C]0.148027[/C][C]1.1656[/C][C]0.124127[/C][/ROW]
[ROW][C]17[/C][C]0.116188[/C][C]0.9149[/C][C]0.181904[/C][/ROW]
[ROW][C]18[/C][C]0.140631[/C][C]1.1073[/C][C]0.136215[/C][/ROW]
[ROW][C]19[/C][C]0.090982[/C][C]0.7164[/C][C]0.23822[/C][/ROW]
[ROW][C]20[/C][C]-0.050267[/C][C]-0.3958[/C][C]0.653197[/C][/ROW]
[ROW][C]21[/C][C]-0.097914[/C][C]-0.771[/C][C]0.778176[/C][/ROW]
[ROW][C]22[/C][C]0.091811[/C][C]0.7229[/C][C]0.236223[/C][/ROW]
[ROW][C]23[/C][C]0.125698[/C][C]0.9897[/C][C]0.163072[/C][/ROW]
[ROW][C]24[/C][C]0.012009[/C][C]0.0946[/C][C]0.462485[/C][/ROW]
[ROW][C]25[/C][C]-0.161297[/C][C]-1.27[/C][C]0.895594[/C][/ROW]
[ROW][C]26[/C][C]-0.129057[/C][C]-1.0162[/C][C]0.843258[/C][/ROW]
[ROW][C]27[/C][C]-0.0297[/C][C]-0.2339[/C][C]0.592068[/C][/ROW]
[ROW][C]28[/C][C]0.038826[/C][C]0.3057[/C][C]0.380422[/C][/ROW]
[ROW][C]29[/C][C]-0.000449[/C][C]-0.0035[/C][C]0.501405[/C][/ROW]
[ROW][C]30[/C][C]-0.057359[/C][C]-0.4516[/C][C]0.673449[/C][/ROW]
[ROW][C]31[/C][C]-0.145877[/C][C]-1.1486[/C][C]0.872441[/C][/ROW]
[ROW][C]32[/C][C]-0.233007[/C][C]-1.8347[/C][C]0.964325[/C][/ROW]
[ROW][C]33[/C][C]-0.045615[/C][C]-0.3592[/C][C]0.639658[/C][/ROW]
[ROW][C]34[/C][C]0.081791[/C][C]0.644[/C][C]0.260967[/C][/ROW]
[ROW][C]35[/C][C]-0.08785[/C][C]-0.6917[/C][C]0.754157[/C][/ROW]
[ROW][C]36[/C][C]-0.23742[/C][C]-1.8694[/C][C]0.966858[/C][/ROW]
[ROW][C]37[/C][C]-0.195853[/C][C]-1.5422[/C][C]0.935937[/C][/ROW]
[ROW][C]38[/C][C]-0.063276[/C][C]-0.4982[/C][C]0.689958[/C][/ROW]
[ROW][C]39[/C][C]-0.016017[/C][C]-0.1261[/C][C]0.549976[/C][/ROW]
[ROW][C]40[/C][C]-0.023383[/C][C]-0.1841[/C][C]0.572738[/C][/ROW]
[ROW][C]41[/C][C]-0.114363[/C][C]-0.9005[/C][C]0.814329[/C][/ROW]
[ROW][C]42[/C][C]-0.124375[/C][C]-0.9793[/C][C]0.834388[/C][/ROW]
[ROW][C]43[/C][C]-0.077963[/C][C]-0.6139[/C][C]0.729231[/C][/ROW]
[ROW][C]44[/C][C]-0.091056[/C][C]-0.717[/C][C]0.761959[/C][/ROW]
[ROW][C]45[/C][C]-0.076355[/C][C]-0.6012[/C][C]0.725057[/C][/ROW]
[ROW][C]46[/C][C]0.064154[/C][C]0.5051[/C][C]0.307623[/C][/ROW]
[ROW][C]47[/C][C]-0.027499[/C][C]-0.2165[/C][C]0.585357[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3399&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3399&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
017.8740
10.3513032.76620.003732
20.0698320.54990.292195
30.1681721.32420.095151
40.296052.33110.011507
50.2932192.30880.012151
60.3693642.90840.002518
70.1460691.15020.12725
80.0672190.52930.299249
9-0.014036-0.11050.543822
100.0669620.52730.299948
110.1598311.25850.106462
120.2681612.11150.019384
130.0265460.2090.417558
14-0.06691-0.52680.69991
150.0011020.00870.496552
160.1480271.16560.124127
170.1161880.91490.181904
180.1406311.10730.136215
190.0909820.71640.23822
20-0.050267-0.39580.653197
21-0.097914-0.7710.778176
220.0918110.72290.236223
230.1256980.98970.163072
240.0120090.09460.462485
25-0.161297-1.270.895594
26-0.129057-1.01620.843258
27-0.0297-0.23390.592068
280.0388260.30570.380422
29-0.000449-0.00350.501405
30-0.057359-0.45160.673449
31-0.145877-1.14860.872441
32-0.233007-1.83470.964325
33-0.045615-0.35920.639658
340.0817910.6440.260967
35-0.08785-0.69170.754157
36-0.23742-1.86940.966858
37-0.195853-1.54220.935937
38-0.063276-0.49820.689958
39-0.016017-0.12610.549976
40-0.023383-0.18410.572738
41-0.114363-0.90050.814329
42-0.124375-0.97930.834388
43-0.077963-0.61390.729231
44-0.091056-0.7170.761959
45-0.076355-0.60120.725057
460.0641540.50510.307623
47-0.027499-0.21650.585357







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.3513032.76620.003732
1-0.061125-0.48130.684002
20.1873491.47520.072611
30.2073941.6330.053766
40.1587911.25030.10794
50.2877922.26610.013474
6-0.093938-0.73970.768853
7-0.005659-0.04460.517699
8-0.234899-1.84960.96543
9-0.073872-0.58170.718552
100.0252880.19910.421411
110.1968941.55030.063074
12-0.026404-0.20790.582007
130.0041710.03280.486953
140.0198240.15610.438233
150.0508330.40030.34517
16-0.016927-0.13330.552798
170.0451250.35530.361779
180.0845180.66550.254101
19-0.133377-1.05020.851152
20-0.096859-0.76270.775722
21-0.001048-0.00830.503279
22-0.011002-0.08660.534379
23-0.08381-0.65990.744126
24-0.124571-0.98090.834766
250.0157960.12440.45071
260.0378310.29790.383395
270.0483710.38090.352301
280.0600680.4730.318944
29-0.007292-0.05740.522803
30-0.083313-0.6560.742877
31-0.214661-1.69020.951998
320.087890.6920.245745
33-0.011087-0.08730.534642
34-0.12988-1.02270.844783
35-0.089744-0.70660.758782
360.0199080.15680.437974
370.1171830.92270.179869
380.0188080.14810.441376
390.1080850.85110.199005
40-0.048747-0.38380.648792
410.0213480.16810.433527
420.0574960.45270.326163
43-0.029963-0.23590.592868
44-0.184384-1.45180.924207
450.0027810.02190.491299
460.0307520.24210.404736
47-0.096236-0.75780.774269

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.351303 & 2.7662 & 0.003732 \tabularnewline
1 & -0.061125 & -0.4813 & 0.684002 \tabularnewline
2 & 0.187349 & 1.4752 & 0.072611 \tabularnewline
3 & 0.207394 & 1.633 & 0.053766 \tabularnewline
4 & 0.158791 & 1.2503 & 0.10794 \tabularnewline
5 & 0.287792 & 2.2661 & 0.013474 \tabularnewline
6 & -0.093938 & -0.7397 & 0.768853 \tabularnewline
7 & -0.005659 & -0.0446 & 0.517699 \tabularnewline
8 & -0.234899 & -1.8496 & 0.96543 \tabularnewline
9 & -0.073872 & -0.5817 & 0.718552 \tabularnewline
10 & 0.025288 & 0.1991 & 0.421411 \tabularnewline
11 & 0.196894 & 1.5503 & 0.063074 \tabularnewline
12 & -0.026404 & -0.2079 & 0.582007 \tabularnewline
13 & 0.004171 & 0.0328 & 0.486953 \tabularnewline
14 & 0.019824 & 0.1561 & 0.438233 \tabularnewline
15 & 0.050833 & 0.4003 & 0.34517 \tabularnewline
16 & -0.016927 & -0.1333 & 0.552798 \tabularnewline
17 & 0.045125 & 0.3553 & 0.361779 \tabularnewline
18 & 0.084518 & 0.6655 & 0.254101 \tabularnewline
19 & -0.133377 & -1.0502 & 0.851152 \tabularnewline
20 & -0.096859 & -0.7627 & 0.775722 \tabularnewline
21 & -0.001048 & -0.0083 & 0.503279 \tabularnewline
22 & -0.011002 & -0.0866 & 0.534379 \tabularnewline
23 & -0.08381 & -0.6599 & 0.744126 \tabularnewline
24 & -0.124571 & -0.9809 & 0.834766 \tabularnewline
25 & 0.015796 & 0.1244 & 0.45071 \tabularnewline
26 & 0.037831 & 0.2979 & 0.383395 \tabularnewline
27 & 0.048371 & 0.3809 & 0.352301 \tabularnewline
28 & 0.060068 & 0.473 & 0.318944 \tabularnewline
29 & -0.007292 & -0.0574 & 0.522803 \tabularnewline
30 & -0.083313 & -0.656 & 0.742877 \tabularnewline
31 & -0.214661 & -1.6902 & 0.951998 \tabularnewline
32 & 0.08789 & 0.692 & 0.245745 \tabularnewline
33 & -0.011087 & -0.0873 & 0.534642 \tabularnewline
34 & -0.12988 & -1.0227 & 0.844783 \tabularnewline
35 & -0.089744 & -0.7066 & 0.758782 \tabularnewline
36 & 0.019908 & 0.1568 & 0.437974 \tabularnewline
37 & 0.117183 & 0.9227 & 0.179869 \tabularnewline
38 & 0.018808 & 0.1481 & 0.441376 \tabularnewline
39 & 0.108085 & 0.8511 & 0.199005 \tabularnewline
40 & -0.048747 & -0.3838 & 0.648792 \tabularnewline
41 & 0.021348 & 0.1681 & 0.433527 \tabularnewline
42 & 0.057496 & 0.4527 & 0.326163 \tabularnewline
43 & -0.029963 & -0.2359 & 0.592868 \tabularnewline
44 & -0.184384 & -1.4518 & 0.924207 \tabularnewline
45 & 0.002781 & 0.0219 & 0.491299 \tabularnewline
46 & 0.030752 & 0.2421 & 0.404736 \tabularnewline
47 & -0.096236 & -0.7578 & 0.774269 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3399&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]0[/C][C]0.351303[/C][C]2.7662[/C][C]0.003732[/C][/ROW]
[ROW][C]1[/C][C]-0.061125[/C][C]-0.4813[/C][C]0.684002[/C][/ROW]
[ROW][C]2[/C][C]0.187349[/C][C]1.4752[/C][C]0.072611[/C][/ROW]
[ROW][C]3[/C][C]0.207394[/C][C]1.633[/C][C]0.053766[/C][/ROW]
[ROW][C]4[/C][C]0.158791[/C][C]1.2503[/C][C]0.10794[/C][/ROW]
[ROW][C]5[/C][C]0.287792[/C][C]2.2661[/C][C]0.013474[/C][/ROW]
[ROW][C]6[/C][C]-0.093938[/C][C]-0.7397[/C][C]0.768853[/C][/ROW]
[ROW][C]7[/C][C]-0.005659[/C][C]-0.0446[/C][C]0.517699[/C][/ROW]
[ROW][C]8[/C][C]-0.234899[/C][C]-1.8496[/C][C]0.96543[/C][/ROW]
[ROW][C]9[/C][C]-0.073872[/C][C]-0.5817[/C][C]0.718552[/C][/ROW]
[ROW][C]10[/C][C]0.025288[/C][C]0.1991[/C][C]0.421411[/C][/ROW]
[ROW][C]11[/C][C]0.196894[/C][C]1.5503[/C][C]0.063074[/C][/ROW]
[ROW][C]12[/C][C]-0.026404[/C][C]-0.2079[/C][C]0.582007[/C][/ROW]
[ROW][C]13[/C][C]0.004171[/C][C]0.0328[/C][C]0.486953[/C][/ROW]
[ROW][C]14[/C][C]0.019824[/C][C]0.1561[/C][C]0.438233[/C][/ROW]
[ROW][C]15[/C][C]0.050833[/C][C]0.4003[/C][C]0.34517[/C][/ROW]
[ROW][C]16[/C][C]-0.016927[/C][C]-0.1333[/C][C]0.552798[/C][/ROW]
[ROW][C]17[/C][C]0.045125[/C][C]0.3553[/C][C]0.361779[/C][/ROW]
[ROW][C]18[/C][C]0.084518[/C][C]0.6655[/C][C]0.254101[/C][/ROW]
[ROW][C]19[/C][C]-0.133377[/C][C]-1.0502[/C][C]0.851152[/C][/ROW]
[ROW][C]20[/C][C]-0.096859[/C][C]-0.7627[/C][C]0.775722[/C][/ROW]
[ROW][C]21[/C][C]-0.001048[/C][C]-0.0083[/C][C]0.503279[/C][/ROW]
[ROW][C]22[/C][C]-0.011002[/C][C]-0.0866[/C][C]0.534379[/C][/ROW]
[ROW][C]23[/C][C]-0.08381[/C][C]-0.6599[/C][C]0.744126[/C][/ROW]
[ROW][C]24[/C][C]-0.124571[/C][C]-0.9809[/C][C]0.834766[/C][/ROW]
[ROW][C]25[/C][C]0.015796[/C][C]0.1244[/C][C]0.45071[/C][/ROW]
[ROW][C]26[/C][C]0.037831[/C][C]0.2979[/C][C]0.383395[/C][/ROW]
[ROW][C]27[/C][C]0.048371[/C][C]0.3809[/C][C]0.352301[/C][/ROW]
[ROW][C]28[/C][C]0.060068[/C][C]0.473[/C][C]0.318944[/C][/ROW]
[ROW][C]29[/C][C]-0.007292[/C][C]-0.0574[/C][C]0.522803[/C][/ROW]
[ROW][C]30[/C][C]-0.083313[/C][C]-0.656[/C][C]0.742877[/C][/ROW]
[ROW][C]31[/C][C]-0.214661[/C][C]-1.6902[/C][C]0.951998[/C][/ROW]
[ROW][C]32[/C][C]0.08789[/C][C]0.692[/C][C]0.245745[/C][/ROW]
[ROW][C]33[/C][C]-0.011087[/C][C]-0.0873[/C][C]0.534642[/C][/ROW]
[ROW][C]34[/C][C]-0.12988[/C][C]-1.0227[/C][C]0.844783[/C][/ROW]
[ROW][C]35[/C][C]-0.089744[/C][C]-0.7066[/C][C]0.758782[/C][/ROW]
[ROW][C]36[/C][C]0.019908[/C][C]0.1568[/C][C]0.437974[/C][/ROW]
[ROW][C]37[/C][C]0.117183[/C][C]0.9227[/C][C]0.179869[/C][/ROW]
[ROW][C]38[/C][C]0.018808[/C][C]0.1481[/C][C]0.441376[/C][/ROW]
[ROW][C]39[/C][C]0.108085[/C][C]0.8511[/C][C]0.199005[/C][/ROW]
[ROW][C]40[/C][C]-0.048747[/C][C]-0.3838[/C][C]0.648792[/C][/ROW]
[ROW][C]41[/C][C]0.021348[/C][C]0.1681[/C][C]0.433527[/C][/ROW]
[ROW][C]42[/C][C]0.057496[/C][C]0.4527[/C][C]0.326163[/C][/ROW]
[ROW][C]43[/C][C]-0.029963[/C][C]-0.2359[/C][C]0.592868[/C][/ROW]
[ROW][C]44[/C][C]-0.184384[/C][C]-1.4518[/C][C]0.924207[/C][/ROW]
[ROW][C]45[/C][C]0.002781[/C][C]0.0219[/C][C]0.491299[/C][/ROW]
[ROW][C]46[/C][C]0.030752[/C][C]0.2421[/C][C]0.404736[/C][/ROW]
[ROW][C]47[/C][C]-0.096236[/C][C]-0.7578[/C][C]0.774269[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3399&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3399&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
00.3513032.76620.003732
1-0.061125-0.48130.684002
20.1873491.47520.072611
30.2073941.6330.053766
40.1587911.25030.10794
50.2877922.26610.013474
6-0.093938-0.73970.768853
7-0.005659-0.04460.517699
8-0.234899-1.84960.96543
9-0.073872-0.58170.718552
100.0252880.19910.421411
110.1968941.55030.063074
12-0.026404-0.20790.582007
130.0041710.03280.486953
140.0198240.15610.438233
150.0508330.40030.34517
16-0.016927-0.13330.552798
170.0451250.35530.361779
180.0845180.66550.254101
19-0.133377-1.05020.851152
20-0.096859-0.76270.775722
21-0.001048-0.00830.503279
22-0.011002-0.08660.534379
23-0.08381-0.65990.744126
24-0.124571-0.98090.834766
250.0157960.12440.45071
260.0378310.29790.383395
270.0483710.38090.352301
280.0600680.4730.318944
29-0.007292-0.05740.522803
30-0.083313-0.6560.742877
31-0.214661-1.69020.951998
320.087890.6920.245745
33-0.011087-0.08730.534642
34-0.12988-1.02270.844783
35-0.089744-0.70660.758782
360.0199080.15680.437974
370.1171830.92270.179869
380.0188080.14810.441376
390.1080850.85110.199005
40-0.048747-0.38380.648792
410.0213480.16810.433527
420.0574960.45270.326163
43-0.029963-0.23590.592868
44-0.184384-1.45180.924207
450.0027810.02190.491299
460.0307520.24210.404736
47-0.096236-0.75780.774269



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 1:par1) {
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(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-1,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(mytstat,lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')