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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, 06 Dec 2007 10:03:43 -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/06/t1196959922384rgdymvyjy0zh.htm/, Retrieved Fri, 03 May 2024 13:56:51 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=2687, Retrieved Fri, 03 May 2024 13:56:51 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact197
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [werkloosheidsgraa...] [2007-12-06 17:03:43] [a56627303ae8d5e952c8d566d622eb77] [Current]
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Dataseries X:
7.6
7.7
7.6
8.2
8
8.1
8.3
8.2
8.1
7.7
7.6
7.7
8.2
8.4
8.4
8.6
8.4
8.5
8.7
8.7
8.6
7.4
7.3
7.4
9
9.2
9.2
8.5
8.3
8.3
8.6
8.6
8.5
8.1
8.1
8
8.6
8.7
8.7
8.6
8.4
8.4
8.7
8.7
8.5
8.3
8.3
8.3
8.1
8.2
8.1
8.1
7.9
7.7
8.1
8
7.7
7.8
7.6
7.4
7.7




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=2687&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=2687&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2687&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
016.92820
10.0010190.00710.497199
2-0.072251-0.50060.69052
3-0.539298-3.73640.999752
4-0.061567-0.42650.664191
50.0106080.07350.470859
60.1628591.12830.132396
7-0.027461-0.19030.575044
80.0401520.27820.391035
90.083660.57960.282444
100.0456610.31640.376554
11-0.019437-0.13470.553281
12-0.212822-1.47450.926558
13-0.022235-0.1540.560891
140.0182090.12620.450068
150.1486711.030.154082
16-0.013868-0.09610.538072
170.0112550.0780.469085
18-0.142772-0.98920.836226
190.0107730.07460.470407
20-0.026885-0.18630.573489
210.2350621.62860.054977
22-0.009255-0.06410.525429
230.0420160.29110.386117
24-0.261542-1.8120.961879
25-0.038883-0.26940.605609
26-0.003955-0.02740.510873
270.1798911.24630.109348
280.0055040.03810.48487
29-0.017446-0.12090.54785
30-0.045298-0.31380.622497
314.8e-053e-040.499867
320.0333420.2310.409147
330.0178830.12390.450958
34-0.037956-0.2630.603148
35-0.028562-0.19790.578013
360.0427280.2960.384243
370.022570.15640.4382
380.0440840.30540.380683
39-0.080527-0.55790.710251
400.0022020.01530.493947
410.0158850.11010.456412
42-0.022453-0.15560.561484
430.0170370.1180.453265
440.0156730.10860.456993
45-0.039349-0.27260.606841
460.0067470.04670.481456
470.0102850.07130.471746

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 6.9282 & 0 \tabularnewline
1 & 0.001019 & 0.0071 & 0.497199 \tabularnewline
2 & -0.072251 & -0.5006 & 0.69052 \tabularnewline
3 & -0.539298 & -3.7364 & 0.999752 \tabularnewline
4 & -0.061567 & -0.4265 & 0.664191 \tabularnewline
5 & 0.010608 & 0.0735 & 0.470859 \tabularnewline
6 & 0.162859 & 1.1283 & 0.132396 \tabularnewline
7 & -0.027461 & -0.1903 & 0.575044 \tabularnewline
8 & 0.040152 & 0.2782 & 0.391035 \tabularnewline
9 & 0.08366 & 0.5796 & 0.282444 \tabularnewline
10 & 0.045661 & 0.3164 & 0.376554 \tabularnewline
11 & -0.019437 & -0.1347 & 0.553281 \tabularnewline
12 & -0.212822 & -1.4745 & 0.926558 \tabularnewline
13 & -0.022235 & -0.154 & 0.560891 \tabularnewline
14 & 0.018209 & 0.1262 & 0.450068 \tabularnewline
15 & 0.148671 & 1.03 & 0.154082 \tabularnewline
16 & -0.013868 & -0.0961 & 0.538072 \tabularnewline
17 & 0.011255 & 0.078 & 0.469085 \tabularnewline
18 & -0.142772 & -0.9892 & 0.836226 \tabularnewline
19 & 0.010773 & 0.0746 & 0.470407 \tabularnewline
20 & -0.026885 & -0.1863 & 0.573489 \tabularnewline
21 & 0.235062 & 1.6286 & 0.054977 \tabularnewline
22 & -0.009255 & -0.0641 & 0.525429 \tabularnewline
23 & 0.042016 & 0.2911 & 0.386117 \tabularnewline
24 & -0.261542 & -1.812 & 0.961879 \tabularnewline
25 & -0.038883 & -0.2694 & 0.605609 \tabularnewline
26 & -0.003955 & -0.0274 & 0.510873 \tabularnewline
27 & 0.179891 & 1.2463 & 0.109348 \tabularnewline
28 & 0.005504 & 0.0381 & 0.48487 \tabularnewline
29 & -0.017446 & -0.1209 & 0.54785 \tabularnewline
30 & -0.045298 & -0.3138 & 0.622497 \tabularnewline
31 & 4.8e-05 & 3e-04 & 0.499867 \tabularnewline
32 & 0.033342 & 0.231 & 0.409147 \tabularnewline
33 & 0.017883 & 0.1239 & 0.450958 \tabularnewline
34 & -0.037956 & -0.263 & 0.603148 \tabularnewline
35 & -0.028562 & -0.1979 & 0.578013 \tabularnewline
36 & 0.042728 & 0.296 & 0.384243 \tabularnewline
37 & 0.02257 & 0.1564 & 0.4382 \tabularnewline
38 & 0.044084 & 0.3054 & 0.380683 \tabularnewline
39 & -0.080527 & -0.5579 & 0.710251 \tabularnewline
40 & 0.002202 & 0.0153 & 0.493947 \tabularnewline
41 & 0.015885 & 0.1101 & 0.456412 \tabularnewline
42 & -0.022453 & -0.1556 & 0.561484 \tabularnewline
43 & 0.017037 & 0.118 & 0.453265 \tabularnewline
44 & 0.015673 & 0.1086 & 0.456993 \tabularnewline
45 & -0.039349 & -0.2726 & 0.606841 \tabularnewline
46 & 0.006747 & 0.0467 & 0.481456 \tabularnewline
47 & 0.010285 & 0.0713 & 0.471746 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2687&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]6.9282[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.001019[/C][C]0.0071[/C][C]0.497199[/C][/ROW]
[ROW][C]2[/C][C]-0.072251[/C][C]-0.5006[/C][C]0.69052[/C][/ROW]
[ROW][C]3[/C][C]-0.539298[/C][C]-3.7364[/C][C]0.999752[/C][/ROW]
[ROW][C]4[/C][C]-0.061567[/C][C]-0.4265[/C][C]0.664191[/C][/ROW]
[ROW][C]5[/C][C]0.010608[/C][C]0.0735[/C][C]0.470859[/C][/ROW]
[ROW][C]6[/C][C]0.162859[/C][C]1.1283[/C][C]0.132396[/C][/ROW]
[ROW][C]7[/C][C]-0.027461[/C][C]-0.1903[/C][C]0.575044[/C][/ROW]
[ROW][C]8[/C][C]0.040152[/C][C]0.2782[/C][C]0.391035[/C][/ROW]
[ROW][C]9[/C][C]0.08366[/C][C]0.5796[/C][C]0.282444[/C][/ROW]
[ROW][C]10[/C][C]0.045661[/C][C]0.3164[/C][C]0.376554[/C][/ROW]
[ROW][C]11[/C][C]-0.019437[/C][C]-0.1347[/C][C]0.553281[/C][/ROW]
[ROW][C]12[/C][C]-0.212822[/C][C]-1.4745[/C][C]0.926558[/C][/ROW]
[ROW][C]13[/C][C]-0.022235[/C][C]-0.154[/C][C]0.560891[/C][/ROW]
[ROW][C]14[/C][C]0.018209[/C][C]0.1262[/C][C]0.450068[/C][/ROW]
[ROW][C]15[/C][C]0.148671[/C][C]1.03[/C][C]0.154082[/C][/ROW]
[ROW][C]16[/C][C]-0.013868[/C][C]-0.0961[/C][C]0.538072[/C][/ROW]
[ROW][C]17[/C][C]0.011255[/C][C]0.078[/C][C]0.469085[/C][/ROW]
[ROW][C]18[/C][C]-0.142772[/C][C]-0.9892[/C][C]0.836226[/C][/ROW]
[ROW][C]19[/C][C]0.010773[/C][C]0.0746[/C][C]0.470407[/C][/ROW]
[ROW][C]20[/C][C]-0.026885[/C][C]-0.1863[/C][C]0.573489[/C][/ROW]
[ROW][C]21[/C][C]0.235062[/C][C]1.6286[/C][C]0.054977[/C][/ROW]
[ROW][C]22[/C][C]-0.009255[/C][C]-0.0641[/C][C]0.525429[/C][/ROW]
[ROW][C]23[/C][C]0.042016[/C][C]0.2911[/C][C]0.386117[/C][/ROW]
[ROW][C]24[/C][C]-0.261542[/C][C]-1.812[/C][C]0.961879[/C][/ROW]
[ROW][C]25[/C][C]-0.038883[/C][C]-0.2694[/C][C]0.605609[/C][/ROW]
[ROW][C]26[/C][C]-0.003955[/C][C]-0.0274[/C][C]0.510873[/C][/ROW]
[ROW][C]27[/C][C]0.179891[/C][C]1.2463[/C][C]0.109348[/C][/ROW]
[ROW][C]28[/C][C]0.005504[/C][C]0.0381[/C][C]0.48487[/C][/ROW]
[ROW][C]29[/C][C]-0.017446[/C][C]-0.1209[/C][C]0.54785[/C][/ROW]
[ROW][C]30[/C][C]-0.045298[/C][C]-0.3138[/C][C]0.622497[/C][/ROW]
[ROW][C]31[/C][C]4.8e-05[/C][C]3e-04[/C][C]0.499867[/C][/ROW]
[ROW][C]32[/C][C]0.033342[/C][C]0.231[/C][C]0.409147[/C][/ROW]
[ROW][C]33[/C][C]0.017883[/C][C]0.1239[/C][C]0.450958[/C][/ROW]
[ROW][C]34[/C][C]-0.037956[/C][C]-0.263[/C][C]0.603148[/C][/ROW]
[ROW][C]35[/C][C]-0.028562[/C][C]-0.1979[/C][C]0.578013[/C][/ROW]
[ROW][C]36[/C][C]0.042728[/C][C]0.296[/C][C]0.384243[/C][/ROW]
[ROW][C]37[/C][C]0.02257[/C][C]0.1564[/C][C]0.4382[/C][/ROW]
[ROW][C]38[/C][C]0.044084[/C][C]0.3054[/C][C]0.380683[/C][/ROW]
[ROW][C]39[/C][C]-0.080527[/C][C]-0.5579[/C][C]0.710251[/C][/ROW]
[ROW][C]40[/C][C]0.002202[/C][C]0.0153[/C][C]0.493947[/C][/ROW]
[ROW][C]41[/C][C]0.015885[/C][C]0.1101[/C][C]0.456412[/C][/ROW]
[ROW][C]42[/C][C]-0.022453[/C][C]-0.1556[/C][C]0.561484[/C][/ROW]
[ROW][C]43[/C][C]0.017037[/C][C]0.118[/C][C]0.453265[/C][/ROW]
[ROW][C]44[/C][C]0.015673[/C][C]0.1086[/C][C]0.456993[/C][/ROW]
[ROW][C]45[/C][C]-0.039349[/C][C]-0.2726[/C][C]0.606841[/C][/ROW]
[ROW][C]46[/C][C]0.006747[/C][C]0.0467[/C][C]0.481456[/C][/ROW]
[ROW][C]47[/C][C]0.010285[/C][C]0.0713[/C][C]0.471746[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=2687&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2687&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
016.92820
10.0010190.00710.497199
2-0.072251-0.50060.69052
3-0.539298-3.73640.999752
4-0.061567-0.42650.664191
50.0106080.07350.470859
60.1628591.12830.132396
7-0.027461-0.19030.575044
80.0401520.27820.391035
90.083660.57960.282444
100.0456610.31640.376554
11-0.019437-0.13470.553281
12-0.212822-1.47450.926558
13-0.022235-0.1540.560891
140.0182090.12620.450068
150.1486711.030.154082
16-0.013868-0.09610.538072
170.0112550.0780.469085
18-0.142772-0.98920.836226
190.0107730.07460.470407
20-0.026885-0.18630.573489
210.2350621.62860.054977
22-0.009255-0.06410.525429
230.0420160.29110.386117
24-0.261542-1.8120.961879
25-0.038883-0.26940.605609
26-0.003955-0.02740.510873
270.1798911.24630.109348
280.0055040.03810.48487
29-0.017446-0.12090.54785
30-0.045298-0.31380.622497
314.8e-053e-040.499867
320.0333420.2310.409147
330.0178830.12390.450958
34-0.037956-0.2630.603148
35-0.028562-0.19790.578013
360.0427280.2960.384243
370.022570.15640.4382
380.0440840.30540.380683
39-0.080527-0.55790.710251
400.0022020.01530.493947
410.0158850.11010.456412
42-0.022453-0.15560.561484
430.0170370.1180.453265
440.0156730.10860.456993
45-0.039349-0.27260.606841
460.0067470.04670.481456
470.0102850.07130.471746







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.0010190.00710.497199
1-0.072252-0.50060.690523
2-0.541975-3.75490.999766
3-0.123434-0.85520.801648
4-0.113667-0.78750.782572
5-0.225616-1.56310.937702
6-0.22261-1.54230.935215
7-0.095611-0.66240.744563
80.0448790.31090.378599
9-0.059024-0.40890.657796
100.006250.04330.482822
11-0.137988-0.9560.828071
12-0.010488-0.07270.528813
13-0.018535-0.12840.550822
14-0.061452-0.42580.663904
15-0.071977-0.49870.689855
16-0.01713-0.11870.546988
17-0.170694-1.18260.878605
18-0.148899-1.03160.846286
19-0.140419-0.97290.832249
200.1387310.96120.170646
21-0.039343-0.27260.606827
220.039160.27130.393658
23-0.114051-0.79020.783343
24-0.067619-0.46850.679218
25-0.007097-0.04920.519505
26-0.027256-0.18880.574491
27-0.102745-0.71180.759994
28-0.093522-0.64790.739943
29-0.071496-0.49530.688688
30-0.151982-1.0530.851185
31-0.119347-0.82690.793797
320.0798410.55320.291362
33-0.076223-0.52810.700065
34-0.039579-0.27420.60745
35-0.007338-0.05080.520168
36-0.017817-0.12340.548862
370.036150.25050.401652
38-0.002254-0.01560.506197
390.0156520.10840.457048
400.0874270.60570.27378
41-0.170419-1.18070.878229
42-0.007463-0.05170.520511
430.0137240.09510.462324
44-0.030191-0.20920.582398
45-0.00574-0.03980.515777
460.0542760.3760.354273
47NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.001019 & 0.0071 & 0.497199 \tabularnewline
1 & -0.072252 & -0.5006 & 0.690523 \tabularnewline
2 & -0.541975 & -3.7549 & 0.999766 \tabularnewline
3 & -0.123434 & -0.8552 & 0.801648 \tabularnewline
4 & -0.113667 & -0.7875 & 0.782572 \tabularnewline
5 & -0.225616 & -1.5631 & 0.937702 \tabularnewline
6 & -0.22261 & -1.5423 & 0.935215 \tabularnewline
7 & -0.095611 & -0.6624 & 0.744563 \tabularnewline
8 & 0.044879 & 0.3109 & 0.378599 \tabularnewline
9 & -0.059024 & -0.4089 & 0.657796 \tabularnewline
10 & 0.00625 & 0.0433 & 0.482822 \tabularnewline
11 & -0.137988 & -0.956 & 0.828071 \tabularnewline
12 & -0.010488 & -0.0727 & 0.528813 \tabularnewline
13 & -0.018535 & -0.1284 & 0.550822 \tabularnewline
14 & -0.061452 & -0.4258 & 0.663904 \tabularnewline
15 & -0.071977 & -0.4987 & 0.689855 \tabularnewline
16 & -0.01713 & -0.1187 & 0.546988 \tabularnewline
17 & -0.170694 & -1.1826 & 0.878605 \tabularnewline
18 & -0.148899 & -1.0316 & 0.846286 \tabularnewline
19 & -0.140419 & -0.9729 & 0.832249 \tabularnewline
20 & 0.138731 & 0.9612 & 0.170646 \tabularnewline
21 & -0.039343 & -0.2726 & 0.606827 \tabularnewline
22 & 0.03916 & 0.2713 & 0.393658 \tabularnewline
23 & -0.114051 & -0.7902 & 0.783343 \tabularnewline
24 & -0.067619 & -0.4685 & 0.679218 \tabularnewline
25 & -0.007097 & -0.0492 & 0.519505 \tabularnewline
26 & -0.027256 & -0.1888 & 0.574491 \tabularnewline
27 & -0.102745 & -0.7118 & 0.759994 \tabularnewline
28 & -0.093522 & -0.6479 & 0.739943 \tabularnewline
29 & -0.071496 & -0.4953 & 0.688688 \tabularnewline
30 & -0.151982 & -1.053 & 0.851185 \tabularnewline
31 & -0.119347 & -0.8269 & 0.793797 \tabularnewline
32 & 0.079841 & 0.5532 & 0.291362 \tabularnewline
33 & -0.076223 & -0.5281 & 0.700065 \tabularnewline
34 & -0.039579 & -0.2742 & 0.60745 \tabularnewline
35 & -0.007338 & -0.0508 & 0.520168 \tabularnewline
36 & -0.017817 & -0.1234 & 0.548862 \tabularnewline
37 & 0.03615 & 0.2505 & 0.401652 \tabularnewline
38 & -0.002254 & -0.0156 & 0.506197 \tabularnewline
39 & 0.015652 & 0.1084 & 0.457048 \tabularnewline
40 & 0.087427 & 0.6057 & 0.27378 \tabularnewline
41 & -0.170419 & -1.1807 & 0.878229 \tabularnewline
42 & -0.007463 & -0.0517 & 0.520511 \tabularnewline
43 & 0.013724 & 0.0951 & 0.462324 \tabularnewline
44 & -0.030191 & -0.2092 & 0.582398 \tabularnewline
45 & -0.00574 & -0.0398 & 0.515777 \tabularnewline
46 & 0.054276 & 0.376 & 0.354273 \tabularnewline
47 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2687&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]0.001019[/C][C]0.0071[/C][C]0.497199[/C][/ROW]
[ROW][C]1[/C][C]-0.072252[/C][C]-0.5006[/C][C]0.690523[/C][/ROW]
[ROW][C]2[/C][C]-0.541975[/C][C]-3.7549[/C][C]0.999766[/C][/ROW]
[ROW][C]3[/C][C]-0.123434[/C][C]-0.8552[/C][C]0.801648[/C][/ROW]
[ROW][C]4[/C][C]-0.113667[/C][C]-0.7875[/C][C]0.782572[/C][/ROW]
[ROW][C]5[/C][C]-0.225616[/C][C]-1.5631[/C][C]0.937702[/C][/ROW]
[ROW][C]6[/C][C]-0.22261[/C][C]-1.5423[/C][C]0.935215[/C][/ROW]
[ROW][C]7[/C][C]-0.095611[/C][C]-0.6624[/C][C]0.744563[/C][/ROW]
[ROW][C]8[/C][C]0.044879[/C][C]0.3109[/C][C]0.378599[/C][/ROW]
[ROW][C]9[/C][C]-0.059024[/C][C]-0.4089[/C][C]0.657796[/C][/ROW]
[ROW][C]10[/C][C]0.00625[/C][C]0.0433[/C][C]0.482822[/C][/ROW]
[ROW][C]11[/C][C]-0.137988[/C][C]-0.956[/C][C]0.828071[/C][/ROW]
[ROW][C]12[/C][C]-0.010488[/C][C]-0.0727[/C][C]0.528813[/C][/ROW]
[ROW][C]13[/C][C]-0.018535[/C][C]-0.1284[/C][C]0.550822[/C][/ROW]
[ROW][C]14[/C][C]-0.061452[/C][C]-0.4258[/C][C]0.663904[/C][/ROW]
[ROW][C]15[/C][C]-0.071977[/C][C]-0.4987[/C][C]0.689855[/C][/ROW]
[ROW][C]16[/C][C]-0.01713[/C][C]-0.1187[/C][C]0.546988[/C][/ROW]
[ROW][C]17[/C][C]-0.170694[/C][C]-1.1826[/C][C]0.878605[/C][/ROW]
[ROW][C]18[/C][C]-0.148899[/C][C]-1.0316[/C][C]0.846286[/C][/ROW]
[ROW][C]19[/C][C]-0.140419[/C][C]-0.9729[/C][C]0.832249[/C][/ROW]
[ROW][C]20[/C][C]0.138731[/C][C]0.9612[/C][C]0.170646[/C][/ROW]
[ROW][C]21[/C][C]-0.039343[/C][C]-0.2726[/C][C]0.606827[/C][/ROW]
[ROW][C]22[/C][C]0.03916[/C][C]0.2713[/C][C]0.393658[/C][/ROW]
[ROW][C]23[/C][C]-0.114051[/C][C]-0.7902[/C][C]0.783343[/C][/ROW]
[ROW][C]24[/C][C]-0.067619[/C][C]-0.4685[/C][C]0.679218[/C][/ROW]
[ROW][C]25[/C][C]-0.007097[/C][C]-0.0492[/C][C]0.519505[/C][/ROW]
[ROW][C]26[/C][C]-0.027256[/C][C]-0.1888[/C][C]0.574491[/C][/ROW]
[ROW][C]27[/C][C]-0.102745[/C][C]-0.7118[/C][C]0.759994[/C][/ROW]
[ROW][C]28[/C][C]-0.093522[/C][C]-0.6479[/C][C]0.739943[/C][/ROW]
[ROW][C]29[/C][C]-0.071496[/C][C]-0.4953[/C][C]0.688688[/C][/ROW]
[ROW][C]30[/C][C]-0.151982[/C][C]-1.053[/C][C]0.851185[/C][/ROW]
[ROW][C]31[/C][C]-0.119347[/C][C]-0.8269[/C][C]0.793797[/C][/ROW]
[ROW][C]32[/C][C]0.079841[/C][C]0.5532[/C][C]0.291362[/C][/ROW]
[ROW][C]33[/C][C]-0.076223[/C][C]-0.5281[/C][C]0.700065[/C][/ROW]
[ROW][C]34[/C][C]-0.039579[/C][C]-0.2742[/C][C]0.60745[/C][/ROW]
[ROW][C]35[/C][C]-0.007338[/C][C]-0.0508[/C][C]0.520168[/C][/ROW]
[ROW][C]36[/C][C]-0.017817[/C][C]-0.1234[/C][C]0.548862[/C][/ROW]
[ROW][C]37[/C][C]0.03615[/C][C]0.2505[/C][C]0.401652[/C][/ROW]
[ROW][C]38[/C][C]-0.002254[/C][C]-0.0156[/C][C]0.506197[/C][/ROW]
[ROW][C]39[/C][C]0.015652[/C][C]0.1084[/C][C]0.457048[/C][/ROW]
[ROW][C]40[/C][C]0.087427[/C][C]0.6057[/C][C]0.27378[/C][/ROW]
[ROW][C]41[/C][C]-0.170419[/C][C]-1.1807[/C][C]0.878229[/C][/ROW]
[ROW][C]42[/C][C]-0.007463[/C][C]-0.0517[/C][C]0.520511[/C][/ROW]
[ROW][C]43[/C][C]0.013724[/C][C]0.0951[/C][C]0.462324[/C][/ROW]
[ROW][C]44[/C][C]-0.030191[/C][C]-0.2092[/C][C]0.582398[/C][/ROW]
[ROW][C]45[/C][C]-0.00574[/C][C]-0.0398[/C][C]0.515777[/C][/ROW]
[ROW][C]46[/C][C]0.054276[/C][C]0.376[/C][C]0.354273[/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=2687&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2687&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
00.0010190.00710.497199
1-0.072252-0.50060.690523
2-0.541975-3.75490.999766
3-0.123434-0.85520.801648
4-0.113667-0.78750.782572
5-0.225616-1.56310.937702
6-0.22261-1.54230.935215
7-0.095611-0.66240.744563
80.0448790.31090.378599
9-0.059024-0.40890.657796
100.006250.04330.482822
11-0.137988-0.9560.828071
12-0.010488-0.07270.528813
13-0.018535-0.12840.550822
14-0.061452-0.42580.663904
15-0.071977-0.49870.689855
16-0.01713-0.11870.546988
17-0.170694-1.18260.878605
18-0.148899-1.03160.846286
19-0.140419-0.97290.832249
200.1387310.96120.170646
21-0.039343-0.27260.606827
220.039160.27130.393658
23-0.114051-0.79020.783343
24-0.067619-0.46850.679218
25-0.007097-0.04920.519505
26-0.027256-0.18880.574491
27-0.102745-0.71180.759994
28-0.093522-0.64790.739943
29-0.071496-0.49530.688688
30-0.151982-1.0530.851185
31-0.119347-0.82690.793797
320.0798410.55320.291362
33-0.076223-0.52810.700065
34-0.039579-0.27420.60745
35-0.007338-0.05080.520168
36-0.017817-0.12340.548862
370.036150.25050.401652
38-0.002254-0.01560.506197
390.0156520.10840.457048
400.0874270.60570.27378
41-0.170419-1.18070.878229
42-0.007463-0.05170.520511
430.0137240.09510.462324
44-0.030191-0.20920.582398
45-0.00574-0.03980.515777
460.0542760.3760.354273
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')