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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationTue, 23 Dec 2008 13:27:26 -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/2008/Dec/23/t1230064095in7n70egfpw27ma.htm/, Retrieved Tue, 28 May 2024 05:21:10 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=36410, Retrieved Tue, 28 May 2024 05:21:10 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact126
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [(P)ACF Vrouwen (D...] [2008-12-23 20:27:26] [f0e1dc59aca2fa8d78080b39899f316a] [Current]
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Dataseries X:
54327
53476
52258
50156
47925
45844
47605
63617
67028
65845
60106
55317
53188
51010
49364
47616
45429
43480
44964
61008
64530
62960
57529
52954
51374
49211
47980
45575
44431
43596
45544
60109
63695
60819
54709
49357
46913
46728
44576
41988
40880
37860
38532
52713
56139
50939
46352
42169
42025
41713
40123
37737
36928
33812
36122
48823
51520
47090
42683
39947




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 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 & 0 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36410&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]0 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=36410&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36410&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 time0 seconds
R Server'George Udny Yule' @ 72.249.76.132







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.0360410.24710.40296
20.0898040.61570.270544
3-0.013932-0.09550.462157
4-0.023045-0.1580.437572
5-0.110396-0.75680.226462
6-0.054674-0.37480.354738
7-0.051417-0.35250.363021
8-0.03757-0.25760.398932
9-0.014445-0.0990.460767
100.0691220.47390.31889
110.2123751.4560.076025
12-0.13608-0.93290.177815
13-0.130632-0.89560.187524
140.0132930.09110.463887
15-0.169404-1.16140.125677
16-0.26163-1.79360.039653
17-0.063753-0.43710.332031
18-0.030984-0.21240.41635
19-0.071143-0.48770.314003
200.1390050.9530.172741
21-0.072831-0.49930.309947
220.19671.34850.091979
23-0.05642-0.38680.350327
240.0344610.23630.407132
250.0415190.28460.388586
26-0.066745-0.45760.32468
27-0.05904-0.40480.343746
280.0660370.45270.326415
290.0693410.47540.318359
300.0306430.21010.417258
310.0740010.50730.30715
320.041020.28120.389887
33-0.037809-0.25920.398304
34-0.036276-0.24870.402341
35-0.029997-0.20570.418975
36-0.010357-0.0710.471849
370.0080590.05520.478088
38-0.018517-0.12690.449762
390.0007750.00530.497893
40-0.022241-0.15250.439732
41-0.046376-0.31790.37597
420.0593360.40680.343006
430.0168570.11560.454245
44-0.012233-0.08390.46676
45-0.018719-0.12830.449217
46-0.04172-0.2860.38806
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.036041 & 0.2471 & 0.40296 \tabularnewline
2 & 0.089804 & 0.6157 & 0.270544 \tabularnewline
3 & -0.013932 & -0.0955 & 0.462157 \tabularnewline
4 & -0.023045 & -0.158 & 0.437572 \tabularnewline
5 & -0.110396 & -0.7568 & 0.226462 \tabularnewline
6 & -0.054674 & -0.3748 & 0.354738 \tabularnewline
7 & -0.051417 & -0.3525 & 0.363021 \tabularnewline
8 & -0.03757 & -0.2576 & 0.398932 \tabularnewline
9 & -0.014445 & -0.099 & 0.460767 \tabularnewline
10 & 0.069122 & 0.4739 & 0.31889 \tabularnewline
11 & 0.212375 & 1.456 & 0.076025 \tabularnewline
12 & -0.13608 & -0.9329 & 0.177815 \tabularnewline
13 & -0.130632 & -0.8956 & 0.187524 \tabularnewline
14 & 0.013293 & 0.0911 & 0.463887 \tabularnewline
15 & -0.169404 & -1.1614 & 0.125677 \tabularnewline
16 & -0.26163 & -1.7936 & 0.039653 \tabularnewline
17 & -0.063753 & -0.4371 & 0.332031 \tabularnewline
18 & -0.030984 & -0.2124 & 0.41635 \tabularnewline
19 & -0.071143 & -0.4877 & 0.314003 \tabularnewline
20 & 0.139005 & 0.953 & 0.172741 \tabularnewline
21 & -0.072831 & -0.4993 & 0.309947 \tabularnewline
22 & 0.1967 & 1.3485 & 0.091979 \tabularnewline
23 & -0.05642 & -0.3868 & 0.350327 \tabularnewline
24 & 0.034461 & 0.2363 & 0.407132 \tabularnewline
25 & 0.041519 & 0.2846 & 0.388586 \tabularnewline
26 & -0.066745 & -0.4576 & 0.32468 \tabularnewline
27 & -0.05904 & -0.4048 & 0.343746 \tabularnewline
28 & 0.066037 & 0.4527 & 0.326415 \tabularnewline
29 & 0.069341 & 0.4754 & 0.318359 \tabularnewline
30 & 0.030643 & 0.2101 & 0.417258 \tabularnewline
31 & 0.074001 & 0.5073 & 0.30715 \tabularnewline
32 & 0.04102 & 0.2812 & 0.389887 \tabularnewline
33 & -0.037809 & -0.2592 & 0.398304 \tabularnewline
34 & -0.036276 & -0.2487 & 0.402341 \tabularnewline
35 & -0.029997 & -0.2057 & 0.418975 \tabularnewline
36 & -0.010357 & -0.071 & 0.471849 \tabularnewline
37 & 0.008059 & 0.0552 & 0.478088 \tabularnewline
38 & -0.018517 & -0.1269 & 0.449762 \tabularnewline
39 & 0.000775 & 0.0053 & 0.497893 \tabularnewline
40 & -0.022241 & -0.1525 & 0.439732 \tabularnewline
41 & -0.046376 & -0.3179 & 0.37597 \tabularnewline
42 & 0.059336 & 0.4068 & 0.343006 \tabularnewline
43 & 0.016857 & 0.1156 & 0.454245 \tabularnewline
44 & -0.012233 & -0.0839 & 0.46676 \tabularnewline
45 & -0.018719 & -0.1283 & 0.449217 \tabularnewline
46 & -0.04172 & -0.286 & 0.38806 \tabularnewline
47 & NA & NA & NA \tabularnewline
48 & NA & NA & NA \tabularnewline
49 & NA & NA & NA \tabularnewline
50 & NA & NA & NA \tabularnewline
51 & NA & NA & NA \tabularnewline
52 & NA & NA & NA \tabularnewline
53 & NA & NA & NA \tabularnewline
54 & NA & NA & NA \tabularnewline
55 & NA & NA & NA \tabularnewline
56 & NA & NA & NA \tabularnewline
57 & NA & NA & NA \tabularnewline
58 & NA & NA & NA \tabularnewline
59 & NA & NA & NA \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36410&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]0.036041[/C][C]0.2471[/C][C]0.40296[/C][/ROW]
[ROW][C]2[/C][C]0.089804[/C][C]0.6157[/C][C]0.270544[/C][/ROW]
[ROW][C]3[/C][C]-0.013932[/C][C]-0.0955[/C][C]0.462157[/C][/ROW]
[ROW][C]4[/C][C]-0.023045[/C][C]-0.158[/C][C]0.437572[/C][/ROW]
[ROW][C]5[/C][C]-0.110396[/C][C]-0.7568[/C][C]0.226462[/C][/ROW]
[ROW][C]6[/C][C]-0.054674[/C][C]-0.3748[/C][C]0.354738[/C][/ROW]
[ROW][C]7[/C][C]-0.051417[/C][C]-0.3525[/C][C]0.363021[/C][/ROW]
[ROW][C]8[/C][C]-0.03757[/C][C]-0.2576[/C][C]0.398932[/C][/ROW]
[ROW][C]9[/C][C]-0.014445[/C][C]-0.099[/C][C]0.460767[/C][/ROW]
[ROW][C]10[/C][C]0.069122[/C][C]0.4739[/C][C]0.31889[/C][/ROW]
[ROW][C]11[/C][C]0.212375[/C][C]1.456[/C][C]0.076025[/C][/ROW]
[ROW][C]12[/C][C]-0.13608[/C][C]-0.9329[/C][C]0.177815[/C][/ROW]
[ROW][C]13[/C][C]-0.130632[/C][C]-0.8956[/C][C]0.187524[/C][/ROW]
[ROW][C]14[/C][C]0.013293[/C][C]0.0911[/C][C]0.463887[/C][/ROW]
[ROW][C]15[/C][C]-0.169404[/C][C]-1.1614[/C][C]0.125677[/C][/ROW]
[ROW][C]16[/C][C]-0.26163[/C][C]-1.7936[/C][C]0.039653[/C][/ROW]
[ROW][C]17[/C][C]-0.063753[/C][C]-0.4371[/C][C]0.332031[/C][/ROW]
[ROW][C]18[/C][C]-0.030984[/C][C]-0.2124[/C][C]0.41635[/C][/ROW]
[ROW][C]19[/C][C]-0.071143[/C][C]-0.4877[/C][C]0.314003[/C][/ROW]
[ROW][C]20[/C][C]0.139005[/C][C]0.953[/C][C]0.172741[/C][/ROW]
[ROW][C]21[/C][C]-0.072831[/C][C]-0.4993[/C][C]0.309947[/C][/ROW]
[ROW][C]22[/C][C]0.1967[/C][C]1.3485[/C][C]0.091979[/C][/ROW]
[ROW][C]23[/C][C]-0.05642[/C][C]-0.3868[/C][C]0.350327[/C][/ROW]
[ROW][C]24[/C][C]0.034461[/C][C]0.2363[/C][C]0.407132[/C][/ROW]
[ROW][C]25[/C][C]0.041519[/C][C]0.2846[/C][C]0.388586[/C][/ROW]
[ROW][C]26[/C][C]-0.066745[/C][C]-0.4576[/C][C]0.32468[/C][/ROW]
[ROW][C]27[/C][C]-0.05904[/C][C]-0.4048[/C][C]0.343746[/C][/ROW]
[ROW][C]28[/C][C]0.066037[/C][C]0.4527[/C][C]0.326415[/C][/ROW]
[ROW][C]29[/C][C]0.069341[/C][C]0.4754[/C][C]0.318359[/C][/ROW]
[ROW][C]30[/C][C]0.030643[/C][C]0.2101[/C][C]0.417258[/C][/ROW]
[ROW][C]31[/C][C]0.074001[/C][C]0.5073[/C][C]0.30715[/C][/ROW]
[ROW][C]32[/C][C]0.04102[/C][C]0.2812[/C][C]0.389887[/C][/ROW]
[ROW][C]33[/C][C]-0.037809[/C][C]-0.2592[/C][C]0.398304[/C][/ROW]
[ROW][C]34[/C][C]-0.036276[/C][C]-0.2487[/C][C]0.402341[/C][/ROW]
[ROW][C]35[/C][C]-0.029997[/C][C]-0.2057[/C][C]0.418975[/C][/ROW]
[ROW][C]36[/C][C]-0.010357[/C][C]-0.071[/C][C]0.471849[/C][/ROW]
[ROW][C]37[/C][C]0.008059[/C][C]0.0552[/C][C]0.478088[/C][/ROW]
[ROW][C]38[/C][C]-0.018517[/C][C]-0.1269[/C][C]0.449762[/C][/ROW]
[ROW][C]39[/C][C]0.000775[/C][C]0.0053[/C][C]0.497893[/C][/ROW]
[ROW][C]40[/C][C]-0.022241[/C][C]-0.1525[/C][C]0.439732[/C][/ROW]
[ROW][C]41[/C][C]-0.046376[/C][C]-0.3179[/C][C]0.37597[/C][/ROW]
[ROW][C]42[/C][C]0.059336[/C][C]0.4068[/C][C]0.343006[/C][/ROW]
[ROW][C]43[/C][C]0.016857[/C][C]0.1156[/C][C]0.454245[/C][/ROW]
[ROW][C]44[/C][C]-0.012233[/C][C]-0.0839[/C][C]0.46676[/C][/ROW]
[ROW][C]45[/C][C]-0.018719[/C][C]-0.1283[/C][C]0.449217[/C][/ROW]
[ROW][C]46[/C][C]-0.04172[/C][C]-0.286[/C][C]0.38806[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]48[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]49[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]50[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]51[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]52[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]53[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]54[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]55[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]56[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]57[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]58[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]60[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36410&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36410&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
10.0360410.24710.40296
20.0898040.61570.270544
3-0.013932-0.09550.462157
4-0.023045-0.1580.437572
5-0.110396-0.75680.226462
6-0.054674-0.37480.354738
7-0.051417-0.35250.363021
8-0.03757-0.25760.398932
9-0.014445-0.0990.460767
100.0691220.47390.31889
110.2123751.4560.076025
12-0.13608-0.93290.177815
13-0.130632-0.89560.187524
140.0132930.09110.463887
15-0.169404-1.16140.125677
16-0.26163-1.79360.039653
17-0.063753-0.43710.332031
18-0.030984-0.21240.41635
19-0.071143-0.48770.314003
200.1390050.9530.172741
21-0.072831-0.49930.309947
220.19671.34850.091979
23-0.05642-0.38680.350327
240.0344610.23630.407132
250.0415190.28460.388586
26-0.066745-0.45760.32468
27-0.05904-0.40480.343746
280.0660370.45270.326415
290.0693410.47540.318359
300.0306430.21010.417258
310.0740010.50730.30715
320.041020.28120.389887
33-0.037809-0.25920.398304
34-0.036276-0.24870.402341
35-0.029997-0.20570.418975
36-0.010357-0.0710.471849
370.0080590.05520.478088
38-0.018517-0.12690.449762
390.0007750.00530.497893
40-0.022241-0.15250.439732
41-0.046376-0.31790.37597
420.0593360.40680.343006
430.0168570.11560.454245
44-0.012233-0.08390.46676
45-0.018719-0.12830.449217
46-0.04172-0.2860.38806
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.0360410.24710.40296
20.088620.60750.273206
3-0.020261-0.13890.445061
4-0.030138-0.20660.418601
5-0.106633-0.7310.234193
6-0.044063-0.30210.381962
7-0.030406-0.20850.417888
8-0.0305-0.20910.417638
9-0.012044-0.08260.467272
100.0625470.42880.335014
110.2045391.40230.083705
12-0.179832-1.23290.111879
13-0.185809-1.27380.104491
140.0579560.39730.346462
15-0.13745-0.94230.175427
16-0.265562-1.82060.037519
17-0.043362-0.29730.383782
180.0117590.08060.468046
19-0.107314-0.73570.232783
200.0968660.66410.254941
21-0.191136-1.31040.09822
220.1210370.82980.205427
230.0197710.13550.44638
24-0.044882-0.30770.379837
25-0.008126-0.05570.477906
260.003960.02710.489229
270.0275030.18860.425628
28-0.045555-0.31230.378092
290.0268520.18410.427369
300.0293070.20090.420815
31-0.069885-0.47910.317041
320.0088590.06070.475915
33-0.160281-1.09880.138719
34-0.067795-0.46480.322119
350.0450550.30890.379389
36-0.035449-0.2430.404521
370.0272280.18670.426363
380.0543570.37270.355542
39-0.051965-0.35630.361622
40-0.08372-0.5740.284367
410.0306770.21030.417168
42-0.017492-0.11990.45253
430.0803690.5510.292129
440.0240670.1650.434828
45-0.016765-0.11490.454493
46-0.062844-0.43080.334278
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.036041 & 0.2471 & 0.40296 \tabularnewline
2 & 0.08862 & 0.6075 & 0.273206 \tabularnewline
3 & -0.020261 & -0.1389 & 0.445061 \tabularnewline
4 & -0.030138 & -0.2066 & 0.418601 \tabularnewline
5 & -0.106633 & -0.731 & 0.234193 \tabularnewline
6 & -0.044063 & -0.3021 & 0.381962 \tabularnewline
7 & -0.030406 & -0.2085 & 0.417888 \tabularnewline
8 & -0.0305 & -0.2091 & 0.417638 \tabularnewline
9 & -0.012044 & -0.0826 & 0.467272 \tabularnewline
10 & 0.062547 & 0.4288 & 0.335014 \tabularnewline
11 & 0.204539 & 1.4023 & 0.083705 \tabularnewline
12 & -0.179832 & -1.2329 & 0.111879 \tabularnewline
13 & -0.185809 & -1.2738 & 0.104491 \tabularnewline
14 & 0.057956 & 0.3973 & 0.346462 \tabularnewline
15 & -0.13745 & -0.9423 & 0.175427 \tabularnewline
16 & -0.265562 & -1.8206 & 0.037519 \tabularnewline
17 & -0.043362 & -0.2973 & 0.383782 \tabularnewline
18 & 0.011759 & 0.0806 & 0.468046 \tabularnewline
19 & -0.107314 & -0.7357 & 0.232783 \tabularnewline
20 & 0.096866 & 0.6641 & 0.254941 \tabularnewline
21 & -0.191136 & -1.3104 & 0.09822 \tabularnewline
22 & 0.121037 & 0.8298 & 0.205427 \tabularnewline
23 & 0.019771 & 0.1355 & 0.44638 \tabularnewline
24 & -0.044882 & -0.3077 & 0.379837 \tabularnewline
25 & -0.008126 & -0.0557 & 0.477906 \tabularnewline
26 & 0.00396 & 0.0271 & 0.489229 \tabularnewline
27 & 0.027503 & 0.1886 & 0.425628 \tabularnewline
28 & -0.045555 & -0.3123 & 0.378092 \tabularnewline
29 & 0.026852 & 0.1841 & 0.427369 \tabularnewline
30 & 0.029307 & 0.2009 & 0.420815 \tabularnewline
31 & -0.069885 & -0.4791 & 0.317041 \tabularnewline
32 & 0.008859 & 0.0607 & 0.475915 \tabularnewline
33 & -0.160281 & -1.0988 & 0.138719 \tabularnewline
34 & -0.067795 & -0.4648 & 0.322119 \tabularnewline
35 & 0.045055 & 0.3089 & 0.379389 \tabularnewline
36 & -0.035449 & -0.243 & 0.404521 \tabularnewline
37 & 0.027228 & 0.1867 & 0.426363 \tabularnewline
38 & 0.054357 & 0.3727 & 0.355542 \tabularnewline
39 & -0.051965 & -0.3563 & 0.361622 \tabularnewline
40 & -0.08372 & -0.574 & 0.284367 \tabularnewline
41 & 0.030677 & 0.2103 & 0.417168 \tabularnewline
42 & -0.017492 & -0.1199 & 0.45253 \tabularnewline
43 & 0.080369 & 0.551 & 0.292129 \tabularnewline
44 & 0.024067 & 0.165 & 0.434828 \tabularnewline
45 & -0.016765 & -0.1149 & 0.454493 \tabularnewline
46 & -0.062844 & -0.4308 & 0.334278 \tabularnewline
47 & NA & NA & NA \tabularnewline
48 & NA & NA & NA \tabularnewline
49 & NA & NA & NA \tabularnewline
50 & NA & NA & NA \tabularnewline
51 & NA & NA & NA \tabularnewline
52 & NA & NA & NA \tabularnewline
53 & NA & NA & NA \tabularnewline
54 & NA & NA & NA \tabularnewline
55 & NA & NA & NA \tabularnewline
56 & NA & NA & NA \tabularnewline
57 & NA & NA & NA \tabularnewline
58 & NA & NA & NA \tabularnewline
59 & NA & NA & NA \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36410&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]0.036041[/C][C]0.2471[/C][C]0.40296[/C][/ROW]
[ROW][C]2[/C][C]0.08862[/C][C]0.6075[/C][C]0.273206[/C][/ROW]
[ROW][C]3[/C][C]-0.020261[/C][C]-0.1389[/C][C]0.445061[/C][/ROW]
[ROW][C]4[/C][C]-0.030138[/C][C]-0.2066[/C][C]0.418601[/C][/ROW]
[ROW][C]5[/C][C]-0.106633[/C][C]-0.731[/C][C]0.234193[/C][/ROW]
[ROW][C]6[/C][C]-0.044063[/C][C]-0.3021[/C][C]0.381962[/C][/ROW]
[ROW][C]7[/C][C]-0.030406[/C][C]-0.2085[/C][C]0.417888[/C][/ROW]
[ROW][C]8[/C][C]-0.0305[/C][C]-0.2091[/C][C]0.417638[/C][/ROW]
[ROW][C]9[/C][C]-0.012044[/C][C]-0.0826[/C][C]0.467272[/C][/ROW]
[ROW][C]10[/C][C]0.062547[/C][C]0.4288[/C][C]0.335014[/C][/ROW]
[ROW][C]11[/C][C]0.204539[/C][C]1.4023[/C][C]0.083705[/C][/ROW]
[ROW][C]12[/C][C]-0.179832[/C][C]-1.2329[/C][C]0.111879[/C][/ROW]
[ROW][C]13[/C][C]-0.185809[/C][C]-1.2738[/C][C]0.104491[/C][/ROW]
[ROW][C]14[/C][C]0.057956[/C][C]0.3973[/C][C]0.346462[/C][/ROW]
[ROW][C]15[/C][C]-0.13745[/C][C]-0.9423[/C][C]0.175427[/C][/ROW]
[ROW][C]16[/C][C]-0.265562[/C][C]-1.8206[/C][C]0.037519[/C][/ROW]
[ROW][C]17[/C][C]-0.043362[/C][C]-0.2973[/C][C]0.383782[/C][/ROW]
[ROW][C]18[/C][C]0.011759[/C][C]0.0806[/C][C]0.468046[/C][/ROW]
[ROW][C]19[/C][C]-0.107314[/C][C]-0.7357[/C][C]0.232783[/C][/ROW]
[ROW][C]20[/C][C]0.096866[/C][C]0.6641[/C][C]0.254941[/C][/ROW]
[ROW][C]21[/C][C]-0.191136[/C][C]-1.3104[/C][C]0.09822[/C][/ROW]
[ROW][C]22[/C][C]0.121037[/C][C]0.8298[/C][C]0.205427[/C][/ROW]
[ROW][C]23[/C][C]0.019771[/C][C]0.1355[/C][C]0.44638[/C][/ROW]
[ROW][C]24[/C][C]-0.044882[/C][C]-0.3077[/C][C]0.379837[/C][/ROW]
[ROW][C]25[/C][C]-0.008126[/C][C]-0.0557[/C][C]0.477906[/C][/ROW]
[ROW][C]26[/C][C]0.00396[/C][C]0.0271[/C][C]0.489229[/C][/ROW]
[ROW][C]27[/C][C]0.027503[/C][C]0.1886[/C][C]0.425628[/C][/ROW]
[ROW][C]28[/C][C]-0.045555[/C][C]-0.3123[/C][C]0.378092[/C][/ROW]
[ROW][C]29[/C][C]0.026852[/C][C]0.1841[/C][C]0.427369[/C][/ROW]
[ROW][C]30[/C][C]0.029307[/C][C]0.2009[/C][C]0.420815[/C][/ROW]
[ROW][C]31[/C][C]-0.069885[/C][C]-0.4791[/C][C]0.317041[/C][/ROW]
[ROW][C]32[/C][C]0.008859[/C][C]0.0607[/C][C]0.475915[/C][/ROW]
[ROW][C]33[/C][C]-0.160281[/C][C]-1.0988[/C][C]0.138719[/C][/ROW]
[ROW][C]34[/C][C]-0.067795[/C][C]-0.4648[/C][C]0.322119[/C][/ROW]
[ROW][C]35[/C][C]0.045055[/C][C]0.3089[/C][C]0.379389[/C][/ROW]
[ROW][C]36[/C][C]-0.035449[/C][C]-0.243[/C][C]0.404521[/C][/ROW]
[ROW][C]37[/C][C]0.027228[/C][C]0.1867[/C][C]0.426363[/C][/ROW]
[ROW][C]38[/C][C]0.054357[/C][C]0.3727[/C][C]0.355542[/C][/ROW]
[ROW][C]39[/C][C]-0.051965[/C][C]-0.3563[/C][C]0.361622[/C][/ROW]
[ROW][C]40[/C][C]-0.08372[/C][C]-0.574[/C][C]0.284367[/C][/ROW]
[ROW][C]41[/C][C]0.030677[/C][C]0.2103[/C][C]0.417168[/C][/ROW]
[ROW][C]42[/C][C]-0.017492[/C][C]-0.1199[/C][C]0.45253[/C][/ROW]
[ROW][C]43[/C][C]0.080369[/C][C]0.551[/C][C]0.292129[/C][/ROW]
[ROW][C]44[/C][C]0.024067[/C][C]0.165[/C][C]0.434828[/C][/ROW]
[ROW][C]45[/C][C]-0.016765[/C][C]-0.1149[/C][C]0.454493[/C][/ROW]
[ROW][C]46[/C][C]-0.062844[/C][C]-0.4308[/C][C]0.334278[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]48[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]49[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]50[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]51[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]52[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]53[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]54[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]55[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]56[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]57[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]58[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]60[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36410&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36410&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
10.0360410.24710.40296
20.088620.60750.273206
3-0.020261-0.13890.445061
4-0.030138-0.20660.418601
5-0.106633-0.7310.234193
6-0.044063-0.30210.381962
7-0.030406-0.20850.417888
8-0.0305-0.20910.417638
9-0.012044-0.08260.467272
100.0625470.42880.335014
110.2045391.40230.083705
12-0.179832-1.23290.111879
13-0.185809-1.27380.104491
140.0579560.39730.346462
15-0.13745-0.94230.175427
16-0.265562-1.82060.037519
17-0.043362-0.29730.383782
180.0117590.08060.468046
19-0.107314-0.73570.232783
200.0968660.66410.254941
21-0.191136-1.31040.09822
220.1210370.82980.205427
230.0197710.13550.44638
24-0.044882-0.30770.379837
25-0.008126-0.05570.477906
260.003960.02710.489229
270.0275030.18860.425628
28-0.045555-0.31230.378092
290.0268520.18410.427369
300.0293070.20090.420815
31-0.069885-0.47910.317041
320.0088590.06070.475915
33-0.160281-1.09880.138719
34-0.067795-0.46480.322119
350.0450550.30890.379389
36-0.035449-0.2430.404521
370.0272280.18670.426363
380.0543570.37270.355542
39-0.051965-0.35630.361622
40-0.08372-0.5740.284367
410.0306770.21030.417168
42-0.017492-0.11990.45253
430.0803690.5510.292129
440.0240670.1650.434828
45-0.016765-0.11490.454493
46-0.062844-0.43080.334278
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; 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 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')