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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationTue, 07 Dec 2010 10:13:35 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/07/t1291716704am4uigv4f70yyvm.htm/, Retrieved Fri, 03 May 2024 20:30:19 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=106121, Retrieved Fri, 03 May 2024 20:30:19 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact88
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [(Partial) Autocorrelation Function] [ACF suiker na dif...] [2008-12-20 20:53:12] [f77c9ab3b413812d7baee6b7ec69a15d]
-  MPD    [(Partial) Autocorrelation Function] [acf na d=1 bakmeel] [2010-12-07 10:13:35] [2fa539864aa87c5da4977c85c6885fac] [Current]
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Dataseries X:
1.88
1.87
1.88
1.87
1.88
1.87
1.87
1.87
1.87
1.87
1.87
1.87
1.87
1.87
1.87
1.87
1.87
1.87
1.87
1.87
1.88
1.88
1.87
1.87
1.87
1.87
1.87
1.87
1.87
1.86
1.86
1.85
1.84
1.83
1.82
1.78
1.75
1.74
1.74
1.74
1.73
1.73
1.73
1.71
1.7
1.7
1.69
1.68
1.68
1.68
1.68
1.67
1.66
1.65
1.65
1.65




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=106121&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=106121&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=106121&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 time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.3459752.56580.006524
20.2039541.51260.068058
30.1191810.88390.190307
40.1909171.41590.081224
50.055360.41060.341496
60.0509190.37760.353581
70.1480481.0980.138504
80.1691.25330.107692
90.0482160.35760.361013
100.0290020.21510.415249
110.0753460.55880.289289
120.0053470.03970.484256
13-0.028641-0.21240.416287
14-0.033082-0.24530.403554
15-0.139092-1.03150.153403
16-0.031344-0.23250.408525
17-0.010392-0.07710.469424
18-0.014833-0.110.456404
19-0.135617-1.00580.159468
20-0.169605-1.25780.106885
21-0.030001-0.22250.412377
22-0.063989-0.47460.318492
23-0.159381-1.1820.121146
24-0.077025-0.57120.285084
25-0.121632-0.9020.185483
26-0.10068-0.74670.229224
27-0.170679-1.26580.105462
28-0.07355-0.54550.293821
29-0.092764-0.6880.247185
300.0043650.03240.487146
31-0.116419-0.86340.195837
32-0.084848-0.62930.265894
33-0.154848-1.14840.127891
34-0.036481-0.27060.393874
350.0269450.19980.421174
36-0.032435-0.24050.405401
37-0.000865-0.00640.497454
38-0.005305-0.03930.484379
39-0.035138-0.26060.397691
40-0.003568-0.02650.489494
41-0.0334-0.24770.402643
42-0.012449-0.09230.463389
430.0043480.03220.487196
44-0.014866-0.11030.456306
45-0.019307-0.14320.443335
460.0376560.27930.390544
47-0.00695-0.05150.479539
480.0140020.10380.458838
49-0.041224-0.30570.380484
500.005120.0380.484923
51-0.003475-0.02580.489766
520.0174770.12960.448674
530.0088810.06590.473863
54-0.006178-0.04580.481811
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.345975 & 2.5658 & 0.006524 \tabularnewline
2 & 0.203954 & 1.5126 & 0.068058 \tabularnewline
3 & 0.119181 & 0.8839 & 0.190307 \tabularnewline
4 & 0.190917 & 1.4159 & 0.081224 \tabularnewline
5 & 0.05536 & 0.4106 & 0.341496 \tabularnewline
6 & 0.050919 & 0.3776 & 0.353581 \tabularnewline
7 & 0.148048 & 1.098 & 0.138504 \tabularnewline
8 & 0.169 & 1.2533 & 0.107692 \tabularnewline
9 & 0.048216 & 0.3576 & 0.361013 \tabularnewline
10 & 0.029002 & 0.2151 & 0.415249 \tabularnewline
11 & 0.075346 & 0.5588 & 0.289289 \tabularnewline
12 & 0.005347 & 0.0397 & 0.484256 \tabularnewline
13 & -0.028641 & -0.2124 & 0.416287 \tabularnewline
14 & -0.033082 & -0.2453 & 0.403554 \tabularnewline
15 & -0.139092 & -1.0315 & 0.153403 \tabularnewline
16 & -0.031344 & -0.2325 & 0.408525 \tabularnewline
17 & -0.010392 & -0.0771 & 0.469424 \tabularnewline
18 & -0.014833 & -0.11 & 0.456404 \tabularnewline
19 & -0.135617 & -1.0058 & 0.159468 \tabularnewline
20 & -0.169605 & -1.2578 & 0.106885 \tabularnewline
21 & -0.030001 & -0.2225 & 0.412377 \tabularnewline
22 & -0.063989 & -0.4746 & 0.318492 \tabularnewline
23 & -0.159381 & -1.182 & 0.121146 \tabularnewline
24 & -0.077025 & -0.5712 & 0.285084 \tabularnewline
25 & -0.121632 & -0.902 & 0.185483 \tabularnewline
26 & -0.10068 & -0.7467 & 0.229224 \tabularnewline
27 & -0.170679 & -1.2658 & 0.105462 \tabularnewline
28 & -0.07355 & -0.5455 & 0.293821 \tabularnewline
29 & -0.092764 & -0.688 & 0.247185 \tabularnewline
30 & 0.004365 & 0.0324 & 0.487146 \tabularnewline
31 & -0.116419 & -0.8634 & 0.195837 \tabularnewline
32 & -0.084848 & -0.6293 & 0.265894 \tabularnewline
33 & -0.154848 & -1.1484 & 0.127891 \tabularnewline
34 & -0.036481 & -0.2706 & 0.393874 \tabularnewline
35 & 0.026945 & 0.1998 & 0.421174 \tabularnewline
36 & -0.032435 & -0.2405 & 0.405401 \tabularnewline
37 & -0.000865 & -0.0064 & 0.497454 \tabularnewline
38 & -0.005305 & -0.0393 & 0.484379 \tabularnewline
39 & -0.035138 & -0.2606 & 0.397691 \tabularnewline
40 & -0.003568 & -0.0265 & 0.489494 \tabularnewline
41 & -0.0334 & -0.2477 & 0.402643 \tabularnewline
42 & -0.012449 & -0.0923 & 0.463389 \tabularnewline
43 & 0.004348 & 0.0322 & 0.487196 \tabularnewline
44 & -0.014866 & -0.1103 & 0.456306 \tabularnewline
45 & -0.019307 & -0.1432 & 0.443335 \tabularnewline
46 & 0.037656 & 0.2793 & 0.390544 \tabularnewline
47 & -0.00695 & -0.0515 & 0.479539 \tabularnewline
48 & 0.014002 & 0.1038 & 0.458838 \tabularnewline
49 & -0.041224 & -0.3057 & 0.380484 \tabularnewline
50 & 0.00512 & 0.038 & 0.484923 \tabularnewline
51 & -0.003475 & -0.0258 & 0.489766 \tabularnewline
52 & 0.017477 & 0.1296 & 0.448674 \tabularnewline
53 & 0.008881 & 0.0659 & 0.473863 \tabularnewline
54 & -0.006178 & -0.0458 & 0.481811 \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=106121&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]0.345975[/C][C]2.5658[/C][C]0.006524[/C][/ROW]
[ROW][C]2[/C][C]0.203954[/C][C]1.5126[/C][C]0.068058[/C][/ROW]
[ROW][C]3[/C][C]0.119181[/C][C]0.8839[/C][C]0.190307[/C][/ROW]
[ROW][C]4[/C][C]0.190917[/C][C]1.4159[/C][C]0.081224[/C][/ROW]
[ROW][C]5[/C][C]0.05536[/C][C]0.4106[/C][C]0.341496[/C][/ROW]
[ROW][C]6[/C][C]0.050919[/C][C]0.3776[/C][C]0.353581[/C][/ROW]
[ROW][C]7[/C][C]0.148048[/C][C]1.098[/C][C]0.138504[/C][/ROW]
[ROW][C]8[/C][C]0.169[/C][C]1.2533[/C][C]0.107692[/C][/ROW]
[ROW][C]9[/C][C]0.048216[/C][C]0.3576[/C][C]0.361013[/C][/ROW]
[ROW][C]10[/C][C]0.029002[/C][C]0.2151[/C][C]0.415249[/C][/ROW]
[ROW][C]11[/C][C]0.075346[/C][C]0.5588[/C][C]0.289289[/C][/ROW]
[ROW][C]12[/C][C]0.005347[/C][C]0.0397[/C][C]0.484256[/C][/ROW]
[ROW][C]13[/C][C]-0.028641[/C][C]-0.2124[/C][C]0.416287[/C][/ROW]
[ROW][C]14[/C][C]-0.033082[/C][C]-0.2453[/C][C]0.403554[/C][/ROW]
[ROW][C]15[/C][C]-0.139092[/C][C]-1.0315[/C][C]0.153403[/C][/ROW]
[ROW][C]16[/C][C]-0.031344[/C][C]-0.2325[/C][C]0.408525[/C][/ROW]
[ROW][C]17[/C][C]-0.010392[/C][C]-0.0771[/C][C]0.469424[/C][/ROW]
[ROW][C]18[/C][C]-0.014833[/C][C]-0.11[/C][C]0.456404[/C][/ROW]
[ROW][C]19[/C][C]-0.135617[/C][C]-1.0058[/C][C]0.159468[/C][/ROW]
[ROW][C]20[/C][C]-0.169605[/C][C]-1.2578[/C][C]0.106885[/C][/ROW]
[ROW][C]21[/C][C]-0.030001[/C][C]-0.2225[/C][C]0.412377[/C][/ROW]
[ROW][C]22[/C][C]-0.063989[/C][C]-0.4746[/C][C]0.318492[/C][/ROW]
[ROW][C]23[/C][C]-0.159381[/C][C]-1.182[/C][C]0.121146[/C][/ROW]
[ROW][C]24[/C][C]-0.077025[/C][C]-0.5712[/C][C]0.285084[/C][/ROW]
[ROW][C]25[/C][C]-0.121632[/C][C]-0.902[/C][C]0.185483[/C][/ROW]
[ROW][C]26[/C][C]-0.10068[/C][C]-0.7467[/C][C]0.229224[/C][/ROW]
[ROW][C]27[/C][C]-0.170679[/C][C]-1.2658[/C][C]0.105462[/C][/ROW]
[ROW][C]28[/C][C]-0.07355[/C][C]-0.5455[/C][C]0.293821[/C][/ROW]
[ROW][C]29[/C][C]-0.092764[/C][C]-0.688[/C][C]0.247185[/C][/ROW]
[ROW][C]30[/C][C]0.004365[/C][C]0.0324[/C][C]0.487146[/C][/ROW]
[ROW][C]31[/C][C]-0.116419[/C][C]-0.8634[/C][C]0.195837[/C][/ROW]
[ROW][C]32[/C][C]-0.084848[/C][C]-0.6293[/C][C]0.265894[/C][/ROW]
[ROW][C]33[/C][C]-0.154848[/C][C]-1.1484[/C][C]0.127891[/C][/ROW]
[ROW][C]34[/C][C]-0.036481[/C][C]-0.2706[/C][C]0.393874[/C][/ROW]
[ROW][C]35[/C][C]0.026945[/C][C]0.1998[/C][C]0.421174[/C][/ROW]
[ROW][C]36[/C][C]-0.032435[/C][C]-0.2405[/C][C]0.405401[/C][/ROW]
[ROW][C]37[/C][C]-0.000865[/C][C]-0.0064[/C][C]0.497454[/C][/ROW]
[ROW][C]38[/C][C]-0.005305[/C][C]-0.0393[/C][C]0.484379[/C][/ROW]
[ROW][C]39[/C][C]-0.035138[/C][C]-0.2606[/C][C]0.397691[/C][/ROW]
[ROW][C]40[/C][C]-0.003568[/C][C]-0.0265[/C][C]0.489494[/C][/ROW]
[ROW][C]41[/C][C]-0.0334[/C][C]-0.2477[/C][C]0.402643[/C][/ROW]
[ROW][C]42[/C][C]-0.012449[/C][C]-0.0923[/C][C]0.463389[/C][/ROW]
[ROW][C]43[/C][C]0.004348[/C][C]0.0322[/C][C]0.487196[/C][/ROW]
[ROW][C]44[/C][C]-0.014866[/C][C]-0.1103[/C][C]0.456306[/C][/ROW]
[ROW][C]45[/C][C]-0.019307[/C][C]-0.1432[/C][C]0.443335[/C][/ROW]
[ROW][C]46[/C][C]0.037656[/C][C]0.2793[/C][C]0.390544[/C][/ROW]
[ROW][C]47[/C][C]-0.00695[/C][C]-0.0515[/C][C]0.479539[/C][/ROW]
[ROW][C]48[/C][C]0.014002[/C][C]0.1038[/C][C]0.458838[/C][/ROW]
[ROW][C]49[/C][C]-0.041224[/C][C]-0.3057[/C][C]0.380484[/C][/ROW]
[ROW][C]50[/C][C]0.00512[/C][C]0.038[/C][C]0.484923[/C][/ROW]
[ROW][C]51[/C][C]-0.003475[/C][C]-0.0258[/C][C]0.489766[/C][/ROW]
[ROW][C]52[/C][C]0.017477[/C][C]0.1296[/C][C]0.448674[/C][/ROW]
[ROW][C]53[/C][C]0.008881[/C][C]0.0659[/C][C]0.473863[/C][/ROW]
[ROW][C]54[/C][C]-0.006178[/C][C]-0.0458[/C][C]0.481811[/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=106121&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=106121&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
10.3459752.56580.006524
20.2039541.51260.068058
30.1191810.88390.190307
40.1909171.41590.081224
50.055360.41060.341496
60.0509190.37760.353581
70.1480481.0980.138504
80.1691.25330.107692
90.0482160.35760.361013
100.0290020.21510.415249
110.0753460.55880.289289
120.0053470.03970.484256
13-0.028641-0.21240.416287
14-0.033082-0.24530.403554
15-0.139092-1.03150.153403
16-0.031344-0.23250.408525
17-0.010392-0.07710.469424
18-0.014833-0.110.456404
19-0.135617-1.00580.159468
20-0.169605-1.25780.106885
21-0.030001-0.22250.412377
22-0.063989-0.47460.318492
23-0.159381-1.1820.121146
24-0.077025-0.57120.285084
25-0.121632-0.9020.185483
26-0.10068-0.74670.229224
27-0.170679-1.26580.105462
28-0.07355-0.54550.293821
29-0.092764-0.6880.247185
300.0043650.03240.487146
31-0.116419-0.86340.195837
32-0.084848-0.62930.265894
33-0.154848-1.14840.127891
34-0.036481-0.27060.393874
350.0269450.19980.421174
36-0.032435-0.24050.405401
37-0.000865-0.00640.497454
38-0.005305-0.03930.484379
39-0.035138-0.26060.397691
40-0.003568-0.02650.489494
41-0.0334-0.24770.402643
42-0.012449-0.09230.463389
430.0043480.03220.487196
44-0.014866-0.11030.456306
45-0.019307-0.14320.443335
460.0376560.27930.390544
47-0.00695-0.05150.479539
480.0140020.10380.458838
49-0.041224-0.30570.380484
500.005120.0380.484923
51-0.003475-0.02580.489766
520.0174770.12960.448674
530.0088810.06590.473863
54-0.006178-0.04580.481811
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.3459752.56580.006524
20.0957120.70980.240409
30.0255180.18920.425298
40.1459281.08220.141937
5-0.068662-0.50920.306319
60.01270.09420.462653
70.1429071.05980.146927
80.0663830.49230.312231
9-0.061551-0.45650.324924
10-0.004421-0.03280.486981
110.0368890.27360.392718
12-0.069085-0.51230.30523
13-0.015705-0.11650.453853
14-0.026707-0.19810.421862
15-0.192386-1.42680.079649
160.0886670.65760.256779
170.0433280.32130.37459
18-0.048447-0.35930.360376
19-0.110845-0.8220.2073
20-0.11116-0.82440.20664
210.104240.77310.221398
22-0.003861-0.02860.48863
23-0.100664-0.74650.229258
240.0230350.17080.43249
25-0.139683-1.03590.152388
260.04110.30480.380833
27-0.042085-0.31210.378068
28-0.000732-0.00540.497843
29-0.059366-0.44030.330734
300.0932770.69180.246
31-0.06369-0.47230.319279
32-0.057622-0.42730.335403
33-0.080482-0.59690.276522
340.0468980.34780.364657
350.0772540.57290.284512
36-0.000464-0.00340.498632
370.0147560.10940.45663
38-0.082275-0.61020.272131
39-0.051923-0.38510.350835
400.0836690.62050.268744
41-0.02874-0.21310.416002
42-0.084309-0.62530.267195
430.0161890.12010.452438
44-0.020264-0.15030.440545
45-0.018862-0.13990.444631
460.0257440.19090.424644
47-0.079738-0.59130.278354
48-0.039223-0.29090.386117
490.013410.09940.460572
500.0700390.51940.302776
51-0.08936-0.66270.255142
52-0.032789-0.24320.404388
530.0137510.1020.459571
54-0.04463-0.3310.370958
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 & 0.345975 & 2.5658 & 0.006524 \tabularnewline
2 & 0.095712 & 0.7098 & 0.240409 \tabularnewline
3 & 0.025518 & 0.1892 & 0.425298 \tabularnewline
4 & 0.145928 & 1.0822 & 0.141937 \tabularnewline
5 & -0.068662 & -0.5092 & 0.306319 \tabularnewline
6 & 0.0127 & 0.0942 & 0.462653 \tabularnewline
7 & 0.142907 & 1.0598 & 0.146927 \tabularnewline
8 & 0.066383 & 0.4923 & 0.312231 \tabularnewline
9 & -0.061551 & -0.4565 & 0.324924 \tabularnewline
10 & -0.004421 & -0.0328 & 0.486981 \tabularnewline
11 & 0.036889 & 0.2736 & 0.392718 \tabularnewline
12 & -0.069085 & -0.5123 & 0.30523 \tabularnewline
13 & -0.015705 & -0.1165 & 0.453853 \tabularnewline
14 & -0.026707 & -0.1981 & 0.421862 \tabularnewline
15 & -0.192386 & -1.4268 & 0.079649 \tabularnewline
16 & 0.088667 & 0.6576 & 0.256779 \tabularnewline
17 & 0.043328 & 0.3213 & 0.37459 \tabularnewline
18 & -0.048447 & -0.3593 & 0.360376 \tabularnewline
19 & -0.110845 & -0.822 & 0.2073 \tabularnewline
20 & -0.11116 & -0.8244 & 0.20664 \tabularnewline
21 & 0.10424 & 0.7731 & 0.221398 \tabularnewline
22 & -0.003861 & -0.0286 & 0.48863 \tabularnewline
23 & -0.100664 & -0.7465 & 0.229258 \tabularnewline
24 & 0.023035 & 0.1708 & 0.43249 \tabularnewline
25 & -0.139683 & -1.0359 & 0.152388 \tabularnewline
26 & 0.0411 & 0.3048 & 0.380833 \tabularnewline
27 & -0.042085 & -0.3121 & 0.378068 \tabularnewline
28 & -0.000732 & -0.0054 & 0.497843 \tabularnewline
29 & -0.059366 & -0.4403 & 0.330734 \tabularnewline
30 & 0.093277 & 0.6918 & 0.246 \tabularnewline
31 & -0.06369 & -0.4723 & 0.319279 \tabularnewline
32 & -0.057622 & -0.4273 & 0.335403 \tabularnewline
33 & -0.080482 & -0.5969 & 0.276522 \tabularnewline
34 & 0.046898 & 0.3478 & 0.364657 \tabularnewline
35 & 0.077254 & 0.5729 & 0.284512 \tabularnewline
36 & -0.000464 & -0.0034 & 0.498632 \tabularnewline
37 & 0.014756 & 0.1094 & 0.45663 \tabularnewline
38 & -0.082275 & -0.6102 & 0.272131 \tabularnewline
39 & -0.051923 & -0.3851 & 0.350835 \tabularnewline
40 & 0.083669 & 0.6205 & 0.268744 \tabularnewline
41 & -0.02874 & -0.2131 & 0.416002 \tabularnewline
42 & -0.084309 & -0.6253 & 0.267195 \tabularnewline
43 & 0.016189 & 0.1201 & 0.452438 \tabularnewline
44 & -0.020264 & -0.1503 & 0.440545 \tabularnewline
45 & -0.018862 & -0.1399 & 0.444631 \tabularnewline
46 & 0.025744 & 0.1909 & 0.424644 \tabularnewline
47 & -0.079738 & -0.5913 & 0.278354 \tabularnewline
48 & -0.039223 & -0.2909 & 0.386117 \tabularnewline
49 & 0.01341 & 0.0994 & 0.460572 \tabularnewline
50 & 0.070039 & 0.5194 & 0.302776 \tabularnewline
51 & -0.08936 & -0.6627 & 0.255142 \tabularnewline
52 & -0.032789 & -0.2432 & 0.404388 \tabularnewline
53 & 0.013751 & 0.102 & 0.459571 \tabularnewline
54 & -0.04463 & -0.331 & 0.370958 \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=106121&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]0.345975[/C][C]2.5658[/C][C]0.006524[/C][/ROW]
[ROW][C]2[/C][C]0.095712[/C][C]0.7098[/C][C]0.240409[/C][/ROW]
[ROW][C]3[/C][C]0.025518[/C][C]0.1892[/C][C]0.425298[/C][/ROW]
[ROW][C]4[/C][C]0.145928[/C][C]1.0822[/C][C]0.141937[/C][/ROW]
[ROW][C]5[/C][C]-0.068662[/C][C]-0.5092[/C][C]0.306319[/C][/ROW]
[ROW][C]6[/C][C]0.0127[/C][C]0.0942[/C][C]0.462653[/C][/ROW]
[ROW][C]7[/C][C]0.142907[/C][C]1.0598[/C][C]0.146927[/C][/ROW]
[ROW][C]8[/C][C]0.066383[/C][C]0.4923[/C][C]0.312231[/C][/ROW]
[ROW][C]9[/C][C]-0.061551[/C][C]-0.4565[/C][C]0.324924[/C][/ROW]
[ROW][C]10[/C][C]-0.004421[/C][C]-0.0328[/C][C]0.486981[/C][/ROW]
[ROW][C]11[/C][C]0.036889[/C][C]0.2736[/C][C]0.392718[/C][/ROW]
[ROW][C]12[/C][C]-0.069085[/C][C]-0.5123[/C][C]0.30523[/C][/ROW]
[ROW][C]13[/C][C]-0.015705[/C][C]-0.1165[/C][C]0.453853[/C][/ROW]
[ROW][C]14[/C][C]-0.026707[/C][C]-0.1981[/C][C]0.421862[/C][/ROW]
[ROW][C]15[/C][C]-0.192386[/C][C]-1.4268[/C][C]0.079649[/C][/ROW]
[ROW][C]16[/C][C]0.088667[/C][C]0.6576[/C][C]0.256779[/C][/ROW]
[ROW][C]17[/C][C]0.043328[/C][C]0.3213[/C][C]0.37459[/C][/ROW]
[ROW][C]18[/C][C]-0.048447[/C][C]-0.3593[/C][C]0.360376[/C][/ROW]
[ROW][C]19[/C][C]-0.110845[/C][C]-0.822[/C][C]0.2073[/C][/ROW]
[ROW][C]20[/C][C]-0.11116[/C][C]-0.8244[/C][C]0.20664[/C][/ROW]
[ROW][C]21[/C][C]0.10424[/C][C]0.7731[/C][C]0.221398[/C][/ROW]
[ROW][C]22[/C][C]-0.003861[/C][C]-0.0286[/C][C]0.48863[/C][/ROW]
[ROW][C]23[/C][C]-0.100664[/C][C]-0.7465[/C][C]0.229258[/C][/ROW]
[ROW][C]24[/C][C]0.023035[/C][C]0.1708[/C][C]0.43249[/C][/ROW]
[ROW][C]25[/C][C]-0.139683[/C][C]-1.0359[/C][C]0.152388[/C][/ROW]
[ROW][C]26[/C][C]0.0411[/C][C]0.3048[/C][C]0.380833[/C][/ROW]
[ROW][C]27[/C][C]-0.042085[/C][C]-0.3121[/C][C]0.378068[/C][/ROW]
[ROW][C]28[/C][C]-0.000732[/C][C]-0.0054[/C][C]0.497843[/C][/ROW]
[ROW][C]29[/C][C]-0.059366[/C][C]-0.4403[/C][C]0.330734[/C][/ROW]
[ROW][C]30[/C][C]0.093277[/C][C]0.6918[/C][C]0.246[/C][/ROW]
[ROW][C]31[/C][C]-0.06369[/C][C]-0.4723[/C][C]0.319279[/C][/ROW]
[ROW][C]32[/C][C]-0.057622[/C][C]-0.4273[/C][C]0.335403[/C][/ROW]
[ROW][C]33[/C][C]-0.080482[/C][C]-0.5969[/C][C]0.276522[/C][/ROW]
[ROW][C]34[/C][C]0.046898[/C][C]0.3478[/C][C]0.364657[/C][/ROW]
[ROW][C]35[/C][C]0.077254[/C][C]0.5729[/C][C]0.284512[/C][/ROW]
[ROW][C]36[/C][C]-0.000464[/C][C]-0.0034[/C][C]0.498632[/C][/ROW]
[ROW][C]37[/C][C]0.014756[/C][C]0.1094[/C][C]0.45663[/C][/ROW]
[ROW][C]38[/C][C]-0.082275[/C][C]-0.6102[/C][C]0.272131[/C][/ROW]
[ROW][C]39[/C][C]-0.051923[/C][C]-0.3851[/C][C]0.350835[/C][/ROW]
[ROW][C]40[/C][C]0.083669[/C][C]0.6205[/C][C]0.268744[/C][/ROW]
[ROW][C]41[/C][C]-0.02874[/C][C]-0.2131[/C][C]0.416002[/C][/ROW]
[ROW][C]42[/C][C]-0.084309[/C][C]-0.6253[/C][C]0.267195[/C][/ROW]
[ROW][C]43[/C][C]0.016189[/C][C]0.1201[/C][C]0.452438[/C][/ROW]
[ROW][C]44[/C][C]-0.020264[/C][C]-0.1503[/C][C]0.440545[/C][/ROW]
[ROW][C]45[/C][C]-0.018862[/C][C]-0.1399[/C][C]0.444631[/C][/ROW]
[ROW][C]46[/C][C]0.025744[/C][C]0.1909[/C][C]0.424644[/C][/ROW]
[ROW][C]47[/C][C]-0.079738[/C][C]-0.5913[/C][C]0.278354[/C][/ROW]
[ROW][C]48[/C][C]-0.039223[/C][C]-0.2909[/C][C]0.386117[/C][/ROW]
[ROW][C]49[/C][C]0.01341[/C][C]0.0994[/C][C]0.460572[/C][/ROW]
[ROW][C]50[/C][C]0.070039[/C][C]0.5194[/C][C]0.302776[/C][/ROW]
[ROW][C]51[/C][C]-0.08936[/C][C]-0.6627[/C][C]0.255142[/C][/ROW]
[ROW][C]52[/C][C]-0.032789[/C][C]-0.2432[/C][C]0.404388[/C][/ROW]
[ROW][C]53[/C][C]0.013751[/C][C]0.102[/C][C]0.459571[/C][/ROW]
[ROW][C]54[/C][C]-0.04463[/C][C]-0.331[/C][C]0.370958[/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=106121&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=106121&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
10.3459752.56580.006524
20.0957120.70980.240409
30.0255180.18920.425298
40.1459281.08220.141937
5-0.068662-0.50920.306319
60.01270.09420.462653
70.1429071.05980.146927
80.0663830.49230.312231
9-0.061551-0.45650.324924
10-0.004421-0.03280.486981
110.0368890.27360.392718
12-0.069085-0.51230.30523
13-0.015705-0.11650.453853
14-0.026707-0.19810.421862
15-0.192386-1.42680.079649
160.0886670.65760.256779
170.0433280.32130.37459
18-0.048447-0.35930.360376
19-0.110845-0.8220.2073
20-0.11116-0.82440.20664
210.104240.77310.221398
22-0.003861-0.02860.48863
23-0.100664-0.74650.229258
240.0230350.17080.43249
25-0.139683-1.03590.152388
260.04110.30480.380833
27-0.042085-0.31210.378068
28-0.000732-0.00540.497843
29-0.059366-0.44030.330734
300.0932770.69180.246
31-0.06369-0.47230.319279
32-0.057622-0.42730.335403
33-0.080482-0.59690.276522
340.0468980.34780.364657
350.0772540.57290.284512
36-0.000464-0.00340.498632
370.0147560.10940.45663
38-0.082275-0.61020.272131
39-0.051923-0.38510.350835
400.0836690.62050.268744
41-0.02874-0.21310.416002
42-0.084309-0.62530.267195
430.0161890.12010.452438
44-0.020264-0.15030.440545
45-0.018862-0.13990.444631
460.0257440.19090.424644
47-0.079738-0.59130.278354
48-0.039223-0.29090.386117
490.013410.09940.460572
500.0700390.51940.302776
51-0.08936-0.66270.255142
52-0.032789-0.24320.404388
530.0137510.1020.459571
54-0.04463-0.3310.370958
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = ;
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')