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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, 25 Dec 2007 05:25:17 -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/25/t1198584357x0gjj3s57pqd4nq.htm/, Retrieved Fri, 03 May 2024 21:39:33 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=4876, Retrieved Fri, 03 May 2024 21:39:33 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKlaas Van Pelt
Estimated Impact246
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [ACF 4] [2007-12-25 12:25:17] [6abd901c2e17b7d5559c695bbff3d863] [Current]
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Dataseries X:
92.1
91.4
90.7
92.5
94.4
94.3
87.3
85.9
89
83.3
78.6
75.7
79.6
78.5
82.6
88.7
88.5
84.6
83.4
84.4
94.1
100.4
93.1
93.1
82.1
88.1
87.7
80.2
73.8
75.3
77.3
80.1
81.3
81.5
83.2
80.8
81.3
78.8
82.8
84.9
93.2
94.7
94.8
103.9
107
118.6
112.2
112.2
93.8
96.7
108.7
112.1
107.2
113.1
120
124.4
139.5
145.8
135.6
135.5
141.6
141.2
141.6
147.1
146.5
144.1
148.5
146.9
135.7
128.5
128.7
127.6
122.5
123.4
129.4
135.3
138.5
140.6
144.2
144.3




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4876&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4876&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4876&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 time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Autocorrelation Function
Time lag kACF(k)T-STATP-value
018.94430
10.955418.54540
20.9029488.07620
30.858117.67520
40.8191657.32680
50.778896.96660
60.7446496.66030
70.7097266.3480
80.6754466.04140
90.6553815.86190
100.6364955.6930
110.6078875.43710
120.5631295.03681e-06
130.5138364.59598e-06
140.4599644.1144.7e-05
150.4143293.70590.000193
160.3725543.33220.000653
170.3319472.9690.001971
180.2932282.62270.005221
190.2548262.27920.012659
200.2162291.9340.028324
210.1741241.55740.06166
220.1285811.15010.126773
230.0686970.61440.270333
240.017390.15550.438392
25-0.034803-0.31130.621803
26-0.085041-0.76060.775442
27-0.12724-1.13810.870755
28-0.156609-1.40080.917423
29-0.182903-1.63590.947109
30-0.201362-1.8010.962267
31-0.212771-1.90310.969686
32-0.226034-2.02170.976725
33-0.24893-2.22650.985604
34-0.267626-2.39370.99049
35-0.28969-2.59110.994316
36-0.309092-2.76460.996464
37-0.329037-2.9430.997874
38-0.343571-3.0730.998551
39-0.354678-3.17230.998927
40-0.362255-3.24010.999129
41-0.361675-3.23490.999115
42-0.364928-3.2640.999191
43-0.371451-3.32240.999326
44-0.375626-3.35970.999401
45-0.376363-3.36630.999414
46-0.377941-3.38040.999439
47-0.380383-3.40230.999477
48-0.3784-3.38450.999447
49-0.378564-3.3860.999449
50-0.373867-3.3440.999371
51-0.359821-3.21830.999069
52-0.341882-3.05790.998485
53-0.331291-2.96320.997995
54-0.323284-2.89150.997533
55-0.311254-2.78390.99665
56-0.294033-2.62990.99488
57-0.281108-2.51430.993034
58-0.265049-2.37070.989919
59-0.260077-2.32620.98873

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 8.9443 & 0 \tabularnewline
1 & 0.95541 & 8.5454 & 0 \tabularnewline
2 & 0.902948 & 8.0762 & 0 \tabularnewline
3 & 0.85811 & 7.6752 & 0 \tabularnewline
4 & 0.819165 & 7.3268 & 0 \tabularnewline
5 & 0.77889 & 6.9666 & 0 \tabularnewline
6 & 0.744649 & 6.6603 & 0 \tabularnewline
7 & 0.709726 & 6.348 & 0 \tabularnewline
8 & 0.675446 & 6.0414 & 0 \tabularnewline
9 & 0.655381 & 5.8619 & 0 \tabularnewline
10 & 0.636495 & 5.693 & 0 \tabularnewline
11 & 0.607887 & 5.4371 & 0 \tabularnewline
12 & 0.563129 & 5.0368 & 1e-06 \tabularnewline
13 & 0.513836 & 4.5959 & 8e-06 \tabularnewline
14 & 0.459964 & 4.114 & 4.7e-05 \tabularnewline
15 & 0.414329 & 3.7059 & 0.000193 \tabularnewline
16 & 0.372554 & 3.3322 & 0.000653 \tabularnewline
17 & 0.331947 & 2.969 & 0.001971 \tabularnewline
18 & 0.293228 & 2.6227 & 0.005221 \tabularnewline
19 & 0.254826 & 2.2792 & 0.012659 \tabularnewline
20 & 0.216229 & 1.934 & 0.028324 \tabularnewline
21 & 0.174124 & 1.5574 & 0.06166 \tabularnewline
22 & 0.128581 & 1.1501 & 0.126773 \tabularnewline
23 & 0.068697 & 0.6144 & 0.270333 \tabularnewline
24 & 0.01739 & 0.1555 & 0.438392 \tabularnewline
25 & -0.034803 & -0.3113 & 0.621803 \tabularnewline
26 & -0.085041 & -0.7606 & 0.775442 \tabularnewline
27 & -0.12724 & -1.1381 & 0.870755 \tabularnewline
28 & -0.156609 & -1.4008 & 0.917423 \tabularnewline
29 & -0.182903 & -1.6359 & 0.947109 \tabularnewline
30 & -0.201362 & -1.801 & 0.962267 \tabularnewline
31 & -0.212771 & -1.9031 & 0.969686 \tabularnewline
32 & -0.226034 & -2.0217 & 0.976725 \tabularnewline
33 & -0.24893 & -2.2265 & 0.985604 \tabularnewline
34 & -0.267626 & -2.3937 & 0.99049 \tabularnewline
35 & -0.28969 & -2.5911 & 0.994316 \tabularnewline
36 & -0.309092 & -2.7646 & 0.996464 \tabularnewline
37 & -0.329037 & -2.943 & 0.997874 \tabularnewline
38 & -0.343571 & -3.073 & 0.998551 \tabularnewline
39 & -0.354678 & -3.1723 & 0.998927 \tabularnewline
40 & -0.362255 & -3.2401 & 0.999129 \tabularnewline
41 & -0.361675 & -3.2349 & 0.999115 \tabularnewline
42 & -0.364928 & -3.264 & 0.999191 \tabularnewline
43 & -0.371451 & -3.3224 & 0.999326 \tabularnewline
44 & -0.375626 & -3.3597 & 0.999401 \tabularnewline
45 & -0.376363 & -3.3663 & 0.999414 \tabularnewline
46 & -0.377941 & -3.3804 & 0.999439 \tabularnewline
47 & -0.380383 & -3.4023 & 0.999477 \tabularnewline
48 & -0.3784 & -3.3845 & 0.999447 \tabularnewline
49 & -0.378564 & -3.386 & 0.999449 \tabularnewline
50 & -0.373867 & -3.344 & 0.999371 \tabularnewline
51 & -0.359821 & -3.2183 & 0.999069 \tabularnewline
52 & -0.341882 & -3.0579 & 0.998485 \tabularnewline
53 & -0.331291 & -2.9632 & 0.997995 \tabularnewline
54 & -0.323284 & -2.8915 & 0.997533 \tabularnewline
55 & -0.311254 & -2.7839 & 0.99665 \tabularnewline
56 & -0.294033 & -2.6299 & 0.99488 \tabularnewline
57 & -0.281108 & -2.5143 & 0.993034 \tabularnewline
58 & -0.265049 & -2.3707 & 0.989919 \tabularnewline
59 & -0.260077 & -2.3262 & 0.98873 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4876&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]8.9443[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.95541[/C][C]8.5454[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.902948[/C][C]8.0762[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.85811[/C][C]7.6752[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.819165[/C][C]7.3268[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.77889[/C][C]6.9666[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.744649[/C][C]6.6603[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.709726[/C][C]6.348[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.675446[/C][C]6.0414[/C][C]0[/C][/ROW]
[ROW][C]9[/C][C]0.655381[/C][C]5.8619[/C][C]0[/C][/ROW]
[ROW][C]10[/C][C]0.636495[/C][C]5.693[/C][C]0[/C][/ROW]
[ROW][C]11[/C][C]0.607887[/C][C]5.4371[/C][C]0[/C][/ROW]
[ROW][C]12[/C][C]0.563129[/C][C]5.0368[/C][C]1e-06[/C][/ROW]
[ROW][C]13[/C][C]0.513836[/C][C]4.5959[/C][C]8e-06[/C][/ROW]
[ROW][C]14[/C][C]0.459964[/C][C]4.114[/C][C]4.7e-05[/C][/ROW]
[ROW][C]15[/C][C]0.414329[/C][C]3.7059[/C][C]0.000193[/C][/ROW]
[ROW][C]16[/C][C]0.372554[/C][C]3.3322[/C][C]0.000653[/C][/ROW]
[ROW][C]17[/C][C]0.331947[/C][C]2.969[/C][C]0.001971[/C][/ROW]
[ROW][C]18[/C][C]0.293228[/C][C]2.6227[/C][C]0.005221[/C][/ROW]
[ROW][C]19[/C][C]0.254826[/C][C]2.2792[/C][C]0.012659[/C][/ROW]
[ROW][C]20[/C][C]0.216229[/C][C]1.934[/C][C]0.028324[/C][/ROW]
[ROW][C]21[/C][C]0.174124[/C][C]1.5574[/C][C]0.06166[/C][/ROW]
[ROW][C]22[/C][C]0.128581[/C][C]1.1501[/C][C]0.126773[/C][/ROW]
[ROW][C]23[/C][C]0.068697[/C][C]0.6144[/C][C]0.270333[/C][/ROW]
[ROW][C]24[/C][C]0.01739[/C][C]0.1555[/C][C]0.438392[/C][/ROW]
[ROW][C]25[/C][C]-0.034803[/C][C]-0.3113[/C][C]0.621803[/C][/ROW]
[ROW][C]26[/C][C]-0.085041[/C][C]-0.7606[/C][C]0.775442[/C][/ROW]
[ROW][C]27[/C][C]-0.12724[/C][C]-1.1381[/C][C]0.870755[/C][/ROW]
[ROW][C]28[/C][C]-0.156609[/C][C]-1.4008[/C][C]0.917423[/C][/ROW]
[ROW][C]29[/C][C]-0.182903[/C][C]-1.6359[/C][C]0.947109[/C][/ROW]
[ROW][C]30[/C][C]-0.201362[/C][C]-1.801[/C][C]0.962267[/C][/ROW]
[ROW][C]31[/C][C]-0.212771[/C][C]-1.9031[/C][C]0.969686[/C][/ROW]
[ROW][C]32[/C][C]-0.226034[/C][C]-2.0217[/C][C]0.976725[/C][/ROW]
[ROW][C]33[/C][C]-0.24893[/C][C]-2.2265[/C][C]0.985604[/C][/ROW]
[ROW][C]34[/C][C]-0.267626[/C][C]-2.3937[/C][C]0.99049[/C][/ROW]
[ROW][C]35[/C][C]-0.28969[/C][C]-2.5911[/C][C]0.994316[/C][/ROW]
[ROW][C]36[/C][C]-0.309092[/C][C]-2.7646[/C][C]0.996464[/C][/ROW]
[ROW][C]37[/C][C]-0.329037[/C][C]-2.943[/C][C]0.997874[/C][/ROW]
[ROW][C]38[/C][C]-0.343571[/C][C]-3.073[/C][C]0.998551[/C][/ROW]
[ROW][C]39[/C][C]-0.354678[/C][C]-3.1723[/C][C]0.998927[/C][/ROW]
[ROW][C]40[/C][C]-0.362255[/C][C]-3.2401[/C][C]0.999129[/C][/ROW]
[ROW][C]41[/C][C]-0.361675[/C][C]-3.2349[/C][C]0.999115[/C][/ROW]
[ROW][C]42[/C][C]-0.364928[/C][C]-3.264[/C][C]0.999191[/C][/ROW]
[ROW][C]43[/C][C]-0.371451[/C][C]-3.3224[/C][C]0.999326[/C][/ROW]
[ROW][C]44[/C][C]-0.375626[/C][C]-3.3597[/C][C]0.999401[/C][/ROW]
[ROW][C]45[/C][C]-0.376363[/C][C]-3.3663[/C][C]0.999414[/C][/ROW]
[ROW][C]46[/C][C]-0.377941[/C][C]-3.3804[/C][C]0.999439[/C][/ROW]
[ROW][C]47[/C][C]-0.380383[/C][C]-3.4023[/C][C]0.999477[/C][/ROW]
[ROW][C]48[/C][C]-0.3784[/C][C]-3.3845[/C][C]0.999447[/C][/ROW]
[ROW][C]49[/C][C]-0.378564[/C][C]-3.386[/C][C]0.999449[/C][/ROW]
[ROW][C]50[/C][C]-0.373867[/C][C]-3.344[/C][C]0.999371[/C][/ROW]
[ROW][C]51[/C][C]-0.359821[/C][C]-3.2183[/C][C]0.999069[/C][/ROW]
[ROW][C]52[/C][C]-0.341882[/C][C]-3.0579[/C][C]0.998485[/C][/ROW]
[ROW][C]53[/C][C]-0.331291[/C][C]-2.9632[/C][C]0.997995[/C][/ROW]
[ROW][C]54[/C][C]-0.323284[/C][C]-2.8915[/C][C]0.997533[/C][/ROW]
[ROW][C]55[/C][C]-0.311254[/C][C]-2.7839[/C][C]0.99665[/C][/ROW]
[ROW][C]56[/C][C]-0.294033[/C][C]-2.6299[/C][C]0.99488[/C][/ROW]
[ROW][C]57[/C][C]-0.281108[/C][C]-2.5143[/C][C]0.993034[/C][/ROW]
[ROW][C]58[/C][C]-0.265049[/C][C]-2.3707[/C][C]0.989919[/C][/ROW]
[ROW][C]59[/C][C]-0.260077[/C][C]-2.3262[/C][C]0.98873[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4876&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4876&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
018.94430
10.955418.54540
20.9029488.07620
30.858117.67520
40.8191657.32680
50.778896.96660
60.7446496.66030
70.7097266.3480
80.6754466.04140
90.6553815.86190
100.6364955.6930
110.6078875.43710
120.5631295.03681e-06
130.5138364.59598e-06
140.4599644.1144.7e-05
150.4143293.70590.000193
160.3725543.33220.000653
170.3319472.9690.001971
180.2932282.62270.005221
190.2548262.27920.012659
200.2162291.9340.028324
210.1741241.55740.06166
220.1285811.15010.126773
230.0686970.61440.270333
240.017390.15550.438392
25-0.034803-0.31130.621803
26-0.085041-0.76060.775442
27-0.12724-1.13810.870755
28-0.156609-1.40080.917423
29-0.182903-1.63590.947109
30-0.201362-1.8010.962267
31-0.212771-1.90310.969686
32-0.226034-2.02170.976725
33-0.24893-2.22650.985604
34-0.267626-2.39370.99049
35-0.28969-2.59110.994316
36-0.309092-2.76460.996464
37-0.329037-2.9430.997874
38-0.343571-3.0730.998551
39-0.354678-3.17230.998927
40-0.362255-3.24010.999129
41-0.361675-3.23490.999115
42-0.364928-3.2640.999191
43-0.371451-3.32240.999326
44-0.375626-3.35970.999401
45-0.376363-3.36630.999414
46-0.377941-3.38040.999439
47-0.380383-3.40230.999477
48-0.3784-3.38450.999447
49-0.378564-3.3860.999449
50-0.373867-3.3440.999371
51-0.359821-3.21830.999069
52-0.341882-3.05790.998485
53-0.331291-2.96320.997995
54-0.323284-2.89150.997533
55-0.311254-2.78390.99665
56-0.294033-2.62990.99488
57-0.281108-2.51430.993034
58-0.265049-2.37070.989919
59-0.260077-2.32620.98873







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.955418.54540
1-0.1131-1.01160.842609
20.0686780.61430.270388
30.0278260.24890.402043
4-0.040467-0.36190.640826
50.0611440.54690.292988
6-0.042065-0.37620.646133
70.0001810.00160.499356
80.1511981.35240.090036
9-0.036638-0.32770.628003
10-0.093282-0.83430.796714
11-0.174446-1.56030.93868
12-0.075489-0.67520.74925
13-0.092943-0.83130.795862
140.0485540.43430.332626
15-0.017349-0.15520.561464
16-0.007871-0.07040.527974
170.0037070.03320.486814
18-0.071489-0.63940.73781
19-0.069714-0.62350.732649
20-0.082959-0.7420.769873
21-0.071657-0.64090.738297
22-0.160688-1.43720.922724
230.1039360.92960.177678
24-0.097404-0.87120.806876
25-0.036665-0.32790.628094
260.0441620.3950.346947
270.0378460.33850.367934
280.0005810.00520.497933
290.0868240.77660.219848
300.0272010.24330.404201
310.0324180.290.3863
32-0.079932-0.71490.761634
330.0796110.71210.23925
34-0.097627-0.87320.807418
350.0853290.76320.223792
36-0.098155-0.87790.808694
370.0448880.40150.344565
38-0.013724-0.12280.548695
39-0.032097-0.28710.612604
400.0332530.29740.383458
41-0.081993-0.73340.767261
42-0.046196-0.41320.659714
430.0461450.41270.340454
440.0063990.05720.477249
45-0.034458-0.30820.620633
46-0.041037-0.3670.642724
470.0228450.20430.419308
48-0.127721-1.14240.871647
490.0244520.21870.413717
500.0556820.4980.309914
51-0.026004-0.23260.59166
52-0.021811-0.19510.577088
53-0.026404-0.23620.593046
540.0810070.72450.235421
550.0051790.04630.481585
560.0035850.03210.487251
570.0336250.30070.382194
58-0.116515-1.04210.849757
590.0526580.4710.319466

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.95541 & 8.5454 & 0 \tabularnewline
1 & -0.1131 & -1.0116 & 0.842609 \tabularnewline
2 & 0.068678 & 0.6143 & 0.270388 \tabularnewline
3 & 0.027826 & 0.2489 & 0.402043 \tabularnewline
4 & -0.040467 & -0.3619 & 0.640826 \tabularnewline
5 & 0.061144 & 0.5469 & 0.292988 \tabularnewline
6 & -0.042065 & -0.3762 & 0.646133 \tabularnewline
7 & 0.000181 & 0.0016 & 0.499356 \tabularnewline
8 & 0.151198 & 1.3524 & 0.090036 \tabularnewline
9 & -0.036638 & -0.3277 & 0.628003 \tabularnewline
10 & -0.093282 & -0.8343 & 0.796714 \tabularnewline
11 & -0.174446 & -1.5603 & 0.93868 \tabularnewline
12 & -0.075489 & -0.6752 & 0.74925 \tabularnewline
13 & -0.092943 & -0.8313 & 0.795862 \tabularnewline
14 & 0.048554 & 0.4343 & 0.332626 \tabularnewline
15 & -0.017349 & -0.1552 & 0.561464 \tabularnewline
16 & -0.007871 & -0.0704 & 0.527974 \tabularnewline
17 & 0.003707 & 0.0332 & 0.486814 \tabularnewline
18 & -0.071489 & -0.6394 & 0.73781 \tabularnewline
19 & -0.069714 & -0.6235 & 0.732649 \tabularnewline
20 & -0.082959 & -0.742 & 0.769873 \tabularnewline
21 & -0.071657 & -0.6409 & 0.738297 \tabularnewline
22 & -0.160688 & -1.4372 & 0.922724 \tabularnewline
23 & 0.103936 & 0.9296 & 0.177678 \tabularnewline
24 & -0.097404 & -0.8712 & 0.806876 \tabularnewline
25 & -0.036665 & -0.3279 & 0.628094 \tabularnewline
26 & 0.044162 & 0.395 & 0.346947 \tabularnewline
27 & 0.037846 & 0.3385 & 0.367934 \tabularnewline
28 & 0.000581 & 0.0052 & 0.497933 \tabularnewline
29 & 0.086824 & 0.7766 & 0.219848 \tabularnewline
30 & 0.027201 & 0.2433 & 0.404201 \tabularnewline
31 & 0.032418 & 0.29 & 0.3863 \tabularnewline
32 & -0.079932 & -0.7149 & 0.761634 \tabularnewline
33 & 0.079611 & 0.7121 & 0.23925 \tabularnewline
34 & -0.097627 & -0.8732 & 0.807418 \tabularnewline
35 & 0.085329 & 0.7632 & 0.223792 \tabularnewline
36 & -0.098155 & -0.8779 & 0.808694 \tabularnewline
37 & 0.044888 & 0.4015 & 0.344565 \tabularnewline
38 & -0.013724 & -0.1228 & 0.548695 \tabularnewline
39 & -0.032097 & -0.2871 & 0.612604 \tabularnewline
40 & 0.033253 & 0.2974 & 0.383458 \tabularnewline
41 & -0.081993 & -0.7334 & 0.767261 \tabularnewline
42 & -0.046196 & -0.4132 & 0.659714 \tabularnewline
43 & 0.046145 & 0.4127 & 0.340454 \tabularnewline
44 & 0.006399 & 0.0572 & 0.477249 \tabularnewline
45 & -0.034458 & -0.3082 & 0.620633 \tabularnewline
46 & -0.041037 & -0.367 & 0.642724 \tabularnewline
47 & 0.022845 & 0.2043 & 0.419308 \tabularnewline
48 & -0.127721 & -1.1424 & 0.871647 \tabularnewline
49 & 0.024452 & 0.2187 & 0.413717 \tabularnewline
50 & 0.055682 & 0.498 & 0.309914 \tabularnewline
51 & -0.026004 & -0.2326 & 0.59166 \tabularnewline
52 & -0.021811 & -0.1951 & 0.577088 \tabularnewline
53 & -0.026404 & -0.2362 & 0.593046 \tabularnewline
54 & 0.081007 & 0.7245 & 0.235421 \tabularnewline
55 & 0.005179 & 0.0463 & 0.481585 \tabularnewline
56 & 0.003585 & 0.0321 & 0.487251 \tabularnewline
57 & 0.033625 & 0.3007 & 0.382194 \tabularnewline
58 & -0.116515 & -1.0421 & 0.849757 \tabularnewline
59 & 0.052658 & 0.471 & 0.319466 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4876&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]0.95541[/C][C]8.5454[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]-0.1131[/C][C]-1.0116[/C][C]0.842609[/C][/ROW]
[ROW][C]2[/C][C]0.068678[/C][C]0.6143[/C][C]0.270388[/C][/ROW]
[ROW][C]3[/C][C]0.027826[/C][C]0.2489[/C][C]0.402043[/C][/ROW]
[ROW][C]4[/C][C]-0.040467[/C][C]-0.3619[/C][C]0.640826[/C][/ROW]
[ROW][C]5[/C][C]0.061144[/C][C]0.5469[/C][C]0.292988[/C][/ROW]
[ROW][C]6[/C][C]-0.042065[/C][C]-0.3762[/C][C]0.646133[/C][/ROW]
[ROW][C]7[/C][C]0.000181[/C][C]0.0016[/C][C]0.499356[/C][/ROW]
[ROW][C]8[/C][C]0.151198[/C][C]1.3524[/C][C]0.090036[/C][/ROW]
[ROW][C]9[/C][C]-0.036638[/C][C]-0.3277[/C][C]0.628003[/C][/ROW]
[ROW][C]10[/C][C]-0.093282[/C][C]-0.8343[/C][C]0.796714[/C][/ROW]
[ROW][C]11[/C][C]-0.174446[/C][C]-1.5603[/C][C]0.93868[/C][/ROW]
[ROW][C]12[/C][C]-0.075489[/C][C]-0.6752[/C][C]0.74925[/C][/ROW]
[ROW][C]13[/C][C]-0.092943[/C][C]-0.8313[/C][C]0.795862[/C][/ROW]
[ROW][C]14[/C][C]0.048554[/C][C]0.4343[/C][C]0.332626[/C][/ROW]
[ROW][C]15[/C][C]-0.017349[/C][C]-0.1552[/C][C]0.561464[/C][/ROW]
[ROW][C]16[/C][C]-0.007871[/C][C]-0.0704[/C][C]0.527974[/C][/ROW]
[ROW][C]17[/C][C]0.003707[/C][C]0.0332[/C][C]0.486814[/C][/ROW]
[ROW][C]18[/C][C]-0.071489[/C][C]-0.6394[/C][C]0.73781[/C][/ROW]
[ROW][C]19[/C][C]-0.069714[/C][C]-0.6235[/C][C]0.732649[/C][/ROW]
[ROW][C]20[/C][C]-0.082959[/C][C]-0.742[/C][C]0.769873[/C][/ROW]
[ROW][C]21[/C][C]-0.071657[/C][C]-0.6409[/C][C]0.738297[/C][/ROW]
[ROW][C]22[/C][C]-0.160688[/C][C]-1.4372[/C][C]0.922724[/C][/ROW]
[ROW][C]23[/C][C]0.103936[/C][C]0.9296[/C][C]0.177678[/C][/ROW]
[ROW][C]24[/C][C]-0.097404[/C][C]-0.8712[/C][C]0.806876[/C][/ROW]
[ROW][C]25[/C][C]-0.036665[/C][C]-0.3279[/C][C]0.628094[/C][/ROW]
[ROW][C]26[/C][C]0.044162[/C][C]0.395[/C][C]0.346947[/C][/ROW]
[ROW][C]27[/C][C]0.037846[/C][C]0.3385[/C][C]0.367934[/C][/ROW]
[ROW][C]28[/C][C]0.000581[/C][C]0.0052[/C][C]0.497933[/C][/ROW]
[ROW][C]29[/C][C]0.086824[/C][C]0.7766[/C][C]0.219848[/C][/ROW]
[ROW][C]30[/C][C]0.027201[/C][C]0.2433[/C][C]0.404201[/C][/ROW]
[ROW][C]31[/C][C]0.032418[/C][C]0.29[/C][C]0.3863[/C][/ROW]
[ROW][C]32[/C][C]-0.079932[/C][C]-0.7149[/C][C]0.761634[/C][/ROW]
[ROW][C]33[/C][C]0.079611[/C][C]0.7121[/C][C]0.23925[/C][/ROW]
[ROW][C]34[/C][C]-0.097627[/C][C]-0.8732[/C][C]0.807418[/C][/ROW]
[ROW][C]35[/C][C]0.085329[/C][C]0.7632[/C][C]0.223792[/C][/ROW]
[ROW][C]36[/C][C]-0.098155[/C][C]-0.8779[/C][C]0.808694[/C][/ROW]
[ROW][C]37[/C][C]0.044888[/C][C]0.4015[/C][C]0.344565[/C][/ROW]
[ROW][C]38[/C][C]-0.013724[/C][C]-0.1228[/C][C]0.548695[/C][/ROW]
[ROW][C]39[/C][C]-0.032097[/C][C]-0.2871[/C][C]0.612604[/C][/ROW]
[ROW][C]40[/C][C]0.033253[/C][C]0.2974[/C][C]0.383458[/C][/ROW]
[ROW][C]41[/C][C]-0.081993[/C][C]-0.7334[/C][C]0.767261[/C][/ROW]
[ROW][C]42[/C][C]-0.046196[/C][C]-0.4132[/C][C]0.659714[/C][/ROW]
[ROW][C]43[/C][C]0.046145[/C][C]0.4127[/C][C]0.340454[/C][/ROW]
[ROW][C]44[/C][C]0.006399[/C][C]0.0572[/C][C]0.477249[/C][/ROW]
[ROW][C]45[/C][C]-0.034458[/C][C]-0.3082[/C][C]0.620633[/C][/ROW]
[ROW][C]46[/C][C]-0.041037[/C][C]-0.367[/C][C]0.642724[/C][/ROW]
[ROW][C]47[/C][C]0.022845[/C][C]0.2043[/C][C]0.419308[/C][/ROW]
[ROW][C]48[/C][C]-0.127721[/C][C]-1.1424[/C][C]0.871647[/C][/ROW]
[ROW][C]49[/C][C]0.024452[/C][C]0.2187[/C][C]0.413717[/C][/ROW]
[ROW][C]50[/C][C]0.055682[/C][C]0.498[/C][C]0.309914[/C][/ROW]
[ROW][C]51[/C][C]-0.026004[/C][C]-0.2326[/C][C]0.59166[/C][/ROW]
[ROW][C]52[/C][C]-0.021811[/C][C]-0.1951[/C][C]0.577088[/C][/ROW]
[ROW][C]53[/C][C]-0.026404[/C][C]-0.2362[/C][C]0.593046[/C][/ROW]
[ROW][C]54[/C][C]0.081007[/C][C]0.7245[/C][C]0.235421[/C][/ROW]
[ROW][C]55[/C][C]0.005179[/C][C]0.0463[/C][C]0.481585[/C][/ROW]
[ROW][C]56[/C][C]0.003585[/C][C]0.0321[/C][C]0.487251[/C][/ROW]
[ROW][C]57[/C][C]0.033625[/C][C]0.3007[/C][C]0.382194[/C][/ROW]
[ROW][C]58[/C][C]-0.116515[/C][C]-1.0421[/C][C]0.849757[/C][/ROW]
[ROW][C]59[/C][C]0.052658[/C][C]0.471[/C][C]0.319466[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4876&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4876&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
00.955418.54540
1-0.1131-1.01160.842609
20.0686780.61430.270388
30.0278260.24890.402043
4-0.040467-0.36190.640826
50.0611440.54690.292988
6-0.042065-0.37620.646133
70.0001810.00160.499356
80.1511981.35240.090036
9-0.036638-0.32770.628003
10-0.093282-0.83430.796714
11-0.174446-1.56030.93868
12-0.075489-0.67520.74925
13-0.092943-0.83130.795862
140.0485540.43430.332626
15-0.017349-0.15520.561464
16-0.007871-0.07040.527974
170.0037070.03320.486814
18-0.071489-0.63940.73781
19-0.069714-0.62350.732649
20-0.082959-0.7420.769873
21-0.071657-0.64090.738297
22-0.160688-1.43720.922724
230.1039360.92960.177678
24-0.097404-0.87120.806876
25-0.036665-0.32790.628094
260.0441620.3950.346947
270.0378460.33850.367934
280.0005810.00520.497933
290.0868240.77660.219848
300.0272010.24330.404201
310.0324180.290.3863
32-0.079932-0.71490.761634
330.0796110.71210.23925
34-0.097627-0.87320.807418
350.0853290.76320.223792
36-0.098155-0.87790.808694
370.0448880.40150.344565
38-0.013724-0.12280.548695
39-0.032097-0.28710.612604
400.0332530.29740.383458
41-0.081993-0.73340.767261
42-0.046196-0.41320.659714
430.0461450.41270.340454
440.0063990.05720.477249
45-0.034458-0.30820.620633
46-0.041037-0.3670.642724
470.0228450.20430.419308
48-0.127721-1.14240.871647
490.0244520.21870.413717
500.0556820.4980.309914
51-0.026004-0.23260.59166
52-0.021811-0.19510.577088
53-0.026404-0.23620.593046
540.0810070.72450.235421
550.0051790.04630.481585
560.0035850.03210.487251
570.0336250.30070.382194
58-0.116515-1.04210.849757
590.0526580.4710.319466



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
R code (references can be found in the software module):
if (par1 == 'Default') {
par1 = 10*log10(length(x))
} else {
par1 <- as.numeric(par1)
}
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
par5 <- as.numeric(par5)
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='pic1.png')
racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
dev.off()
(myacf <- c(racf$acf))
(mypacf <- c(rpacf$acf))
lengthx <- length(x)
sqrtn <- sqrt(lengthx)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','ACF(k)','click here for more information about the Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:par1) {
a<-table.row.start(a)
a<-table.element(a,i-1,header=TRUE)
a<-table.element(a,round(myacf[i],6))
mytstat <- myacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(mytstat,lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Partial Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','PACF(k)','click here for more information about the Partial Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:par1) {
a<-table.row.start(a)
a<-table.element(a,i-1,header=TRUE)
a<-table.element(a,round(mypacf[i],6))
mytstat <- mypacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(mytstat,lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')