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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationThu, 20 Dec 2007 06:44:08 -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/20/t11981572034di7xsd71uelf7w.htm/, Retrieved Thu, 31 Oct 2024 22:49:35 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=4715, Retrieved Thu, 31 Oct 2024 22:49:35 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact263
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [ACF - versie 2 - ...] [2007-12-20 13:44:08] [921757a21ec3444367392306fe4aab7f] [Current]
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Dataseries X:
2,9
2,6
2,5
3,2
3,1
3,1
2,9
2,5
2,8
3,1
2,6
2,3
2,3
2,6
2,9
2
2,2
2,4
2,3
2,6
1,9
1,1
1,3
1,6
1,7
1,9
1,6
1,8
1,8
1,5
1,6
1
1,5
1,8
1,7
1,2
1,4
1,1
1,3
1,3
1,3
1,3
0,9
1,3
1,8
2,7
2,6
2,9
2,2
2,1
2,3
2,3
2,7
2,6
2,9
3,1
2,8
2,1
2,3
2,2




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=4715&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=4715&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4715&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
016.85570
1-0.14062-0.9640.83002
2-0.141173-0.96780.830959
3-0.116291-0.79720.785342
4-0.101796-0.69790.755653
50.1856411.27270.104694
60.1109310.76050.225376
7-0.210752-1.44480.922431
8-0.047472-0.32550.626859
90.1476351.01210.158328
10-0.058987-0.40440.656122
110.2639961.80990.038357
12-0.460532-3.15730.99861
130.0487890.33450.369752
140.1095160.75080.228257
15-0.027877-0.19110.575371
160.040030.27440.392477
17-0.089055-0.61050.727774
18-0.136208-0.93380.822409
190.0641440.43970.331068
200.1805361.23770.110989
21-0.036217-0.24830.597505
220.176091.20720.116696
23-0.174286-1.19480.880929
24-0.075125-0.5150.695526
25-0.044659-0.30620.619585
26-0.034087-0.23370.591881
270.0852240.58430.280917
280.0253990.17410.431257
29-0.047241-0.32390.626264
30-0.047211-0.32370.626185
310.0798450.54740.29335
32-0.077575-0.53180.701324
330.0411740.28230.389487
34-0.104169-0.71410.760665
350.0093860.06430.474483
360.1288720.88350.190731
37-0.006021-0.04130.516376
38-0.027759-0.19030.575056
39-0.033424-0.22910.590125
40-0.013142-0.09010.535702
410.0556470.38150.352278
420.1022670.70110.243346
43-0.083099-0.56970.714201
44-0.009864-0.06760.526815
450.0010560.00720.497128
46-0.011535-0.07910.531346
47NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 6.8557 & 0 \tabularnewline
1 & -0.14062 & -0.964 & 0.83002 \tabularnewline
2 & -0.141173 & -0.9678 & 0.830959 \tabularnewline
3 & -0.116291 & -0.7972 & 0.785342 \tabularnewline
4 & -0.101796 & -0.6979 & 0.755653 \tabularnewline
5 & 0.185641 & 1.2727 & 0.104694 \tabularnewline
6 & 0.110931 & 0.7605 & 0.225376 \tabularnewline
7 & -0.210752 & -1.4448 & 0.922431 \tabularnewline
8 & -0.047472 & -0.3255 & 0.626859 \tabularnewline
9 & 0.147635 & 1.0121 & 0.158328 \tabularnewline
10 & -0.058987 & -0.4044 & 0.656122 \tabularnewline
11 & 0.263996 & 1.8099 & 0.038357 \tabularnewline
12 & -0.460532 & -3.1573 & 0.99861 \tabularnewline
13 & 0.048789 & 0.3345 & 0.369752 \tabularnewline
14 & 0.109516 & 0.7508 & 0.228257 \tabularnewline
15 & -0.027877 & -0.1911 & 0.575371 \tabularnewline
16 & 0.04003 & 0.2744 & 0.392477 \tabularnewline
17 & -0.089055 & -0.6105 & 0.727774 \tabularnewline
18 & -0.136208 & -0.9338 & 0.822409 \tabularnewline
19 & 0.064144 & 0.4397 & 0.331068 \tabularnewline
20 & 0.180536 & 1.2377 & 0.110989 \tabularnewline
21 & -0.036217 & -0.2483 & 0.597505 \tabularnewline
22 & 0.17609 & 1.2072 & 0.116696 \tabularnewline
23 & -0.174286 & -1.1948 & 0.880929 \tabularnewline
24 & -0.075125 & -0.515 & 0.695526 \tabularnewline
25 & -0.044659 & -0.3062 & 0.619585 \tabularnewline
26 & -0.034087 & -0.2337 & 0.591881 \tabularnewline
27 & 0.085224 & 0.5843 & 0.280917 \tabularnewline
28 & 0.025399 & 0.1741 & 0.431257 \tabularnewline
29 & -0.047241 & -0.3239 & 0.626264 \tabularnewline
30 & -0.047211 & -0.3237 & 0.626185 \tabularnewline
31 & 0.079845 & 0.5474 & 0.29335 \tabularnewline
32 & -0.077575 & -0.5318 & 0.701324 \tabularnewline
33 & 0.041174 & 0.2823 & 0.389487 \tabularnewline
34 & -0.104169 & -0.7141 & 0.760665 \tabularnewline
35 & 0.009386 & 0.0643 & 0.474483 \tabularnewline
36 & 0.128872 & 0.8835 & 0.190731 \tabularnewline
37 & -0.006021 & -0.0413 & 0.516376 \tabularnewline
38 & -0.027759 & -0.1903 & 0.575056 \tabularnewline
39 & -0.033424 & -0.2291 & 0.590125 \tabularnewline
40 & -0.013142 & -0.0901 & 0.535702 \tabularnewline
41 & 0.055647 & 0.3815 & 0.352278 \tabularnewline
42 & 0.102267 & 0.7011 & 0.243346 \tabularnewline
43 & -0.083099 & -0.5697 & 0.714201 \tabularnewline
44 & -0.009864 & -0.0676 & 0.526815 \tabularnewline
45 & 0.001056 & 0.0072 & 0.497128 \tabularnewline
46 & -0.011535 & -0.0791 & 0.531346 \tabularnewline
47 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4715&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]6.8557[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]-0.14062[/C][C]-0.964[/C][C]0.83002[/C][/ROW]
[ROW][C]2[/C][C]-0.141173[/C][C]-0.9678[/C][C]0.830959[/C][/ROW]
[ROW][C]3[/C][C]-0.116291[/C][C]-0.7972[/C][C]0.785342[/C][/ROW]
[ROW][C]4[/C][C]-0.101796[/C][C]-0.6979[/C][C]0.755653[/C][/ROW]
[ROW][C]5[/C][C]0.185641[/C][C]1.2727[/C][C]0.104694[/C][/ROW]
[ROW][C]6[/C][C]0.110931[/C][C]0.7605[/C][C]0.225376[/C][/ROW]
[ROW][C]7[/C][C]-0.210752[/C][C]-1.4448[/C][C]0.922431[/C][/ROW]
[ROW][C]8[/C][C]-0.047472[/C][C]-0.3255[/C][C]0.626859[/C][/ROW]
[ROW][C]9[/C][C]0.147635[/C][C]1.0121[/C][C]0.158328[/C][/ROW]
[ROW][C]10[/C][C]-0.058987[/C][C]-0.4044[/C][C]0.656122[/C][/ROW]
[ROW][C]11[/C][C]0.263996[/C][C]1.8099[/C][C]0.038357[/C][/ROW]
[ROW][C]12[/C][C]-0.460532[/C][C]-3.1573[/C][C]0.99861[/C][/ROW]
[ROW][C]13[/C][C]0.048789[/C][C]0.3345[/C][C]0.369752[/C][/ROW]
[ROW][C]14[/C][C]0.109516[/C][C]0.7508[/C][C]0.228257[/C][/ROW]
[ROW][C]15[/C][C]-0.027877[/C][C]-0.1911[/C][C]0.575371[/C][/ROW]
[ROW][C]16[/C][C]0.04003[/C][C]0.2744[/C][C]0.392477[/C][/ROW]
[ROW][C]17[/C][C]-0.089055[/C][C]-0.6105[/C][C]0.727774[/C][/ROW]
[ROW][C]18[/C][C]-0.136208[/C][C]-0.9338[/C][C]0.822409[/C][/ROW]
[ROW][C]19[/C][C]0.064144[/C][C]0.4397[/C][C]0.331068[/C][/ROW]
[ROW][C]20[/C][C]0.180536[/C][C]1.2377[/C][C]0.110989[/C][/ROW]
[ROW][C]21[/C][C]-0.036217[/C][C]-0.2483[/C][C]0.597505[/C][/ROW]
[ROW][C]22[/C][C]0.17609[/C][C]1.2072[/C][C]0.116696[/C][/ROW]
[ROW][C]23[/C][C]-0.174286[/C][C]-1.1948[/C][C]0.880929[/C][/ROW]
[ROW][C]24[/C][C]-0.075125[/C][C]-0.515[/C][C]0.695526[/C][/ROW]
[ROW][C]25[/C][C]-0.044659[/C][C]-0.3062[/C][C]0.619585[/C][/ROW]
[ROW][C]26[/C][C]-0.034087[/C][C]-0.2337[/C][C]0.591881[/C][/ROW]
[ROW][C]27[/C][C]0.085224[/C][C]0.5843[/C][C]0.280917[/C][/ROW]
[ROW][C]28[/C][C]0.025399[/C][C]0.1741[/C][C]0.431257[/C][/ROW]
[ROW][C]29[/C][C]-0.047241[/C][C]-0.3239[/C][C]0.626264[/C][/ROW]
[ROW][C]30[/C][C]-0.047211[/C][C]-0.3237[/C][C]0.626185[/C][/ROW]
[ROW][C]31[/C][C]0.079845[/C][C]0.5474[/C][C]0.29335[/C][/ROW]
[ROW][C]32[/C][C]-0.077575[/C][C]-0.5318[/C][C]0.701324[/C][/ROW]
[ROW][C]33[/C][C]0.041174[/C][C]0.2823[/C][C]0.389487[/C][/ROW]
[ROW][C]34[/C][C]-0.104169[/C][C]-0.7141[/C][C]0.760665[/C][/ROW]
[ROW][C]35[/C][C]0.009386[/C][C]0.0643[/C][C]0.474483[/C][/ROW]
[ROW][C]36[/C][C]0.128872[/C][C]0.8835[/C][C]0.190731[/C][/ROW]
[ROW][C]37[/C][C]-0.006021[/C][C]-0.0413[/C][C]0.516376[/C][/ROW]
[ROW][C]38[/C][C]-0.027759[/C][C]-0.1903[/C][C]0.575056[/C][/ROW]
[ROW][C]39[/C][C]-0.033424[/C][C]-0.2291[/C][C]0.590125[/C][/ROW]
[ROW][C]40[/C][C]-0.013142[/C][C]-0.0901[/C][C]0.535702[/C][/ROW]
[ROW][C]41[/C][C]0.055647[/C][C]0.3815[/C][C]0.352278[/C][/ROW]
[ROW][C]42[/C][C]0.102267[/C][C]0.7011[/C][C]0.243346[/C][/ROW]
[ROW][C]43[/C][C]-0.083099[/C][C]-0.5697[/C][C]0.714201[/C][/ROW]
[ROW][C]44[/C][C]-0.009864[/C][C]-0.0676[/C][C]0.526815[/C][/ROW]
[ROW][C]45[/C][C]0.001056[/C][C]0.0072[/C][C]0.497128[/C][/ROW]
[ROW][C]46[/C][C]-0.011535[/C][C]-0.0791[/C][C]0.531346[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4715&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4715&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
016.85570
1-0.14062-0.9640.83002
2-0.141173-0.96780.830959
3-0.116291-0.79720.785342
4-0.101796-0.69790.755653
50.1856411.27270.104694
60.1109310.76050.225376
7-0.210752-1.44480.922431
8-0.047472-0.32550.626859
90.1476351.01210.158328
10-0.058987-0.40440.656122
110.2639961.80990.038357
12-0.460532-3.15730.99861
130.0487890.33450.369752
140.1095160.75080.228257
15-0.027877-0.19110.575371
160.040030.27440.392477
17-0.089055-0.61050.727774
18-0.136208-0.93380.822409
190.0641440.43970.331068
200.1805361.23770.110989
21-0.036217-0.24830.597505
220.176091.20720.116696
23-0.174286-1.19480.880929
24-0.075125-0.5150.695526
25-0.044659-0.30620.619585
26-0.034087-0.23370.591881
270.0852240.58430.280917
280.0253990.17410.431257
29-0.047241-0.32390.626264
30-0.047211-0.32370.626185
310.0798450.54740.29335
32-0.077575-0.53180.701324
330.0411740.28230.389487
34-0.104169-0.71410.760665
350.0093860.06430.474483
360.1288720.88350.190731
37-0.006021-0.04130.516376
38-0.027759-0.19030.575056
39-0.033424-0.22910.590125
40-0.013142-0.09010.535702
410.0556470.38150.352278
420.1022670.70110.243346
43-0.083099-0.56970.714201
44-0.009864-0.06760.526815
450.0010560.00720.497128
46-0.011535-0.07910.531346
47NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
0-0.14062-0.9640.83002
1-0.164194-1.12570.866987
2-0.170362-1.16790.875639
3-0.189133-1.29660.899456
40.0901710.61820.269719
50.1074520.73670.232498
6-0.17602-1.20670.883213
7-0.068538-0.46990.679691
80.1598151.09560.139411
9-0.07977-0.54690.706474
100.225441.54550.064462
11-0.411383-2.82030.996498
120.1206880.82740.206097
13-0.048485-0.33240.629465
14-0.094436-0.64740.739744
15-0.05404-0.37050.643655
16-0.061967-0.42480.663548
17-0.059344-0.40680.657014
18-0.138957-0.95260.827177
190.0833610.57150.285193
200.1648971.13050.132006
210.1084830.74370.230374
220.1481491.01570.157496
23-0.30281-2.0760.978304
24-0.041695-0.28580.611874
25-0.122918-0.84270.798164
26-0.051386-0.35230.6369
270.0013570.00930.496307
28-0.09302-0.63770.736621
29-0.068388-0.46880.679326
30-0.074658-0.51180.694416
31-0.024733-0.16960.566958
320.0270480.18540.426844
33-0.025742-0.17650.569662
340.1191040.81650.209156
35-0.062253-0.42680.664257
36-0.004106-0.02820.51117
37-0.022174-0.1520.560087
380.0211360.14490.442704
39-0.010044-0.06890.527302
40-0.085512-0.58620.719741
41-0.104975-0.71970.762355
42-0.037988-0.26040.602165
43-0.04779-0.32760.627677
440.1246490.85460.198567
450.0012420.00850.496621
46NANANA
47NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & -0.14062 & -0.964 & 0.83002 \tabularnewline
1 & -0.164194 & -1.1257 & 0.866987 \tabularnewline
2 & -0.170362 & -1.1679 & 0.875639 \tabularnewline
3 & -0.189133 & -1.2966 & 0.899456 \tabularnewline
4 & 0.090171 & 0.6182 & 0.269719 \tabularnewline
5 & 0.107452 & 0.7367 & 0.232498 \tabularnewline
6 & -0.17602 & -1.2067 & 0.883213 \tabularnewline
7 & -0.068538 & -0.4699 & 0.679691 \tabularnewline
8 & 0.159815 & 1.0956 & 0.139411 \tabularnewline
9 & -0.07977 & -0.5469 & 0.706474 \tabularnewline
10 & 0.22544 & 1.5455 & 0.064462 \tabularnewline
11 & -0.411383 & -2.8203 & 0.996498 \tabularnewline
12 & 0.120688 & 0.8274 & 0.206097 \tabularnewline
13 & -0.048485 & -0.3324 & 0.629465 \tabularnewline
14 & -0.094436 & -0.6474 & 0.739744 \tabularnewline
15 & -0.05404 & -0.3705 & 0.643655 \tabularnewline
16 & -0.061967 & -0.4248 & 0.663548 \tabularnewline
17 & -0.059344 & -0.4068 & 0.657014 \tabularnewline
18 & -0.138957 & -0.9526 & 0.827177 \tabularnewline
19 & 0.083361 & 0.5715 & 0.285193 \tabularnewline
20 & 0.164897 & 1.1305 & 0.132006 \tabularnewline
21 & 0.108483 & 0.7437 & 0.230374 \tabularnewline
22 & 0.148149 & 1.0157 & 0.157496 \tabularnewline
23 & -0.30281 & -2.076 & 0.978304 \tabularnewline
24 & -0.041695 & -0.2858 & 0.611874 \tabularnewline
25 & -0.122918 & -0.8427 & 0.798164 \tabularnewline
26 & -0.051386 & -0.3523 & 0.6369 \tabularnewline
27 & 0.001357 & 0.0093 & 0.496307 \tabularnewline
28 & -0.09302 & -0.6377 & 0.736621 \tabularnewline
29 & -0.068388 & -0.4688 & 0.679326 \tabularnewline
30 & -0.074658 & -0.5118 & 0.694416 \tabularnewline
31 & -0.024733 & -0.1696 & 0.566958 \tabularnewline
32 & 0.027048 & 0.1854 & 0.426844 \tabularnewline
33 & -0.025742 & -0.1765 & 0.569662 \tabularnewline
34 & 0.119104 & 0.8165 & 0.209156 \tabularnewline
35 & -0.062253 & -0.4268 & 0.664257 \tabularnewline
36 & -0.004106 & -0.0282 & 0.51117 \tabularnewline
37 & -0.022174 & -0.152 & 0.560087 \tabularnewline
38 & 0.021136 & 0.1449 & 0.442704 \tabularnewline
39 & -0.010044 & -0.0689 & 0.527302 \tabularnewline
40 & -0.085512 & -0.5862 & 0.719741 \tabularnewline
41 & -0.104975 & -0.7197 & 0.762355 \tabularnewline
42 & -0.037988 & -0.2604 & 0.602165 \tabularnewline
43 & -0.04779 & -0.3276 & 0.627677 \tabularnewline
44 & 0.124649 & 0.8546 & 0.198567 \tabularnewline
45 & 0.001242 & 0.0085 & 0.496621 \tabularnewline
46 & NA & NA & NA \tabularnewline
47 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4715&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]-0.14062[/C][C]-0.964[/C][C]0.83002[/C][/ROW]
[ROW][C]1[/C][C]-0.164194[/C][C]-1.1257[/C][C]0.866987[/C][/ROW]
[ROW][C]2[/C][C]-0.170362[/C][C]-1.1679[/C][C]0.875639[/C][/ROW]
[ROW][C]3[/C][C]-0.189133[/C][C]-1.2966[/C][C]0.899456[/C][/ROW]
[ROW][C]4[/C][C]0.090171[/C][C]0.6182[/C][C]0.269719[/C][/ROW]
[ROW][C]5[/C][C]0.107452[/C][C]0.7367[/C][C]0.232498[/C][/ROW]
[ROW][C]6[/C][C]-0.17602[/C][C]-1.2067[/C][C]0.883213[/C][/ROW]
[ROW][C]7[/C][C]-0.068538[/C][C]-0.4699[/C][C]0.679691[/C][/ROW]
[ROW][C]8[/C][C]0.159815[/C][C]1.0956[/C][C]0.139411[/C][/ROW]
[ROW][C]9[/C][C]-0.07977[/C][C]-0.5469[/C][C]0.706474[/C][/ROW]
[ROW][C]10[/C][C]0.22544[/C][C]1.5455[/C][C]0.064462[/C][/ROW]
[ROW][C]11[/C][C]-0.411383[/C][C]-2.8203[/C][C]0.996498[/C][/ROW]
[ROW][C]12[/C][C]0.120688[/C][C]0.8274[/C][C]0.206097[/C][/ROW]
[ROW][C]13[/C][C]-0.048485[/C][C]-0.3324[/C][C]0.629465[/C][/ROW]
[ROW][C]14[/C][C]-0.094436[/C][C]-0.6474[/C][C]0.739744[/C][/ROW]
[ROW][C]15[/C][C]-0.05404[/C][C]-0.3705[/C][C]0.643655[/C][/ROW]
[ROW][C]16[/C][C]-0.061967[/C][C]-0.4248[/C][C]0.663548[/C][/ROW]
[ROW][C]17[/C][C]-0.059344[/C][C]-0.4068[/C][C]0.657014[/C][/ROW]
[ROW][C]18[/C][C]-0.138957[/C][C]-0.9526[/C][C]0.827177[/C][/ROW]
[ROW][C]19[/C][C]0.083361[/C][C]0.5715[/C][C]0.285193[/C][/ROW]
[ROW][C]20[/C][C]0.164897[/C][C]1.1305[/C][C]0.132006[/C][/ROW]
[ROW][C]21[/C][C]0.108483[/C][C]0.7437[/C][C]0.230374[/C][/ROW]
[ROW][C]22[/C][C]0.148149[/C][C]1.0157[/C][C]0.157496[/C][/ROW]
[ROW][C]23[/C][C]-0.30281[/C][C]-2.076[/C][C]0.978304[/C][/ROW]
[ROW][C]24[/C][C]-0.041695[/C][C]-0.2858[/C][C]0.611874[/C][/ROW]
[ROW][C]25[/C][C]-0.122918[/C][C]-0.8427[/C][C]0.798164[/C][/ROW]
[ROW][C]26[/C][C]-0.051386[/C][C]-0.3523[/C][C]0.6369[/C][/ROW]
[ROW][C]27[/C][C]0.001357[/C][C]0.0093[/C][C]0.496307[/C][/ROW]
[ROW][C]28[/C][C]-0.09302[/C][C]-0.6377[/C][C]0.736621[/C][/ROW]
[ROW][C]29[/C][C]-0.068388[/C][C]-0.4688[/C][C]0.679326[/C][/ROW]
[ROW][C]30[/C][C]-0.074658[/C][C]-0.5118[/C][C]0.694416[/C][/ROW]
[ROW][C]31[/C][C]-0.024733[/C][C]-0.1696[/C][C]0.566958[/C][/ROW]
[ROW][C]32[/C][C]0.027048[/C][C]0.1854[/C][C]0.426844[/C][/ROW]
[ROW][C]33[/C][C]-0.025742[/C][C]-0.1765[/C][C]0.569662[/C][/ROW]
[ROW][C]34[/C][C]0.119104[/C][C]0.8165[/C][C]0.209156[/C][/ROW]
[ROW][C]35[/C][C]-0.062253[/C][C]-0.4268[/C][C]0.664257[/C][/ROW]
[ROW][C]36[/C][C]-0.004106[/C][C]-0.0282[/C][C]0.51117[/C][/ROW]
[ROW][C]37[/C][C]-0.022174[/C][C]-0.152[/C][C]0.560087[/C][/ROW]
[ROW][C]38[/C][C]0.021136[/C][C]0.1449[/C][C]0.442704[/C][/ROW]
[ROW][C]39[/C][C]-0.010044[/C][C]-0.0689[/C][C]0.527302[/C][/ROW]
[ROW][C]40[/C][C]-0.085512[/C][C]-0.5862[/C][C]0.719741[/C][/ROW]
[ROW][C]41[/C][C]-0.104975[/C][C]-0.7197[/C][C]0.762355[/C][/ROW]
[ROW][C]42[/C][C]-0.037988[/C][C]-0.2604[/C][C]0.602165[/C][/ROW]
[ROW][C]43[/C][C]-0.04779[/C][C]-0.3276[/C][C]0.627677[/C][/ROW]
[ROW][C]44[/C][C]0.124649[/C][C]0.8546[/C][C]0.198567[/C][/ROW]
[ROW][C]45[/C][C]0.001242[/C][C]0.0085[/C][C]0.496621[/C][/ROW]
[ROW][C]46[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4715&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4715&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
0-0.14062-0.9640.83002
1-0.164194-1.12570.866987
2-0.170362-1.16790.875639
3-0.189133-1.29660.899456
40.0901710.61820.269719
50.1074520.73670.232498
6-0.17602-1.20670.883213
7-0.068538-0.46990.679691
80.1598151.09560.139411
9-0.07977-0.54690.706474
100.225441.54550.064462
11-0.411383-2.82030.996498
120.1206880.82740.206097
13-0.048485-0.33240.629465
14-0.094436-0.64740.739744
15-0.05404-0.37050.643655
16-0.061967-0.42480.663548
17-0.059344-0.40680.657014
18-0.138957-0.95260.827177
190.0833610.57150.285193
200.1648971.13050.132006
210.1084830.74370.230374
220.1481491.01570.157496
23-0.30281-2.0760.978304
24-0.041695-0.28580.611874
25-0.122918-0.84270.798164
26-0.051386-0.35230.6369
270.0013570.00930.496307
28-0.09302-0.63770.736621
29-0.068388-0.46880.679326
30-0.074658-0.51180.694416
31-0.024733-0.16960.566958
320.0270480.18540.426844
33-0.025742-0.17650.569662
340.1191040.81650.209156
35-0.062253-0.42680.664257
36-0.004106-0.02820.51117
37-0.022174-0.1520.560087
380.0211360.14490.442704
39-0.010044-0.06890.527302
40-0.085512-0.58620.719741
41-0.104975-0.71970.762355
42-0.037988-0.26040.602165
43-0.04779-0.32760.627677
440.1246490.85460.198567
450.0012420.00850.496621
46NANANA
47NANANA



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