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Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationMon, 30 Dec 2013 09:08:31 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Dec/30/t1388420228pk18n4rkjlfzpup.htm/, Retrieved Fri, 29 Mar 2024 08:12:04 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=232691, Retrieved Fri, 29 Mar 2024 08:12:04 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact101
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [autocorrelatie ge...] [2013-12-30 14:08:31] [a0dc50058fa7049d3ca1c49ed2014afb] [Current]
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Dataseries X:
1,26
1,26
1,28
1,34
1,39
1,47
1,57
1,63
1,72
1,43
1,35
1,41
1,44
1,43
1,43
1,42
1,45
1,51
1,48
1,48
1,45
1,38
1,46
1,45
1,41
1,45
1,47
1,47
1,53
1,56
1,66
1,79
1,78
1,46
1,41
1,43
1,43
1,45
1,35
1,35
1,29
1,29
1,26
1,3
1,3
1,16
1,24
1,15
1,21
1,22
1,17
1,13
1,15
1,2
1,23
1,25
1,38
1,28
1,26
1,25
1,26
1,28
1,31
1,22
1,23
1,36
1,54
1,58
1,44
1,29
1,28
1,23
1,2
1,22
1,19
1,17
1,22
1,29
1,39
1,53
1,82
1,77
1,63
1,57




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time6 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net

\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 & 6 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232691&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]6 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232691&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232691&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 time6 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.8415987.71340
20.6164575.64990
30.4185583.83610.000121
40.2712582.48610.007448
50.1876031.71940.044612
60.1217621.1160.13381
70.0719810.65970.255619
80.0502670.46070.323102
90.0792620.72640.234792
100.1029670.94370.174012
110.1315541.20570.115658
120.1762691.61550.054973
130.1722091.57830.059125
140.142411.30520.097693
150.060780.55710.289486
16-0.025392-0.23270.408272
17-0.066851-0.61270.270865
18-0.083303-0.76350.223657
19-0.104431-0.95710.170624
20-0.114039-1.04520.149468
21-0.10473-0.95990.169938
22-0.074546-0.68320.248173
23-0.006445-0.05910.476517
240.0519490.47610.317613
25-0.006344-0.05810.476887
26-0.085206-0.78090.21852
27-0.158755-1.4550.074696
28-0.224428-2.05690.021399
29-0.245427-2.24940.013552
30-0.256754-2.35320.010475
31-0.268565-2.46140.007942
32-0.283302-2.59650.005558
33-0.269173-2.4670.007828
34-0.227904-2.08880.019877
35-0.187564-1.71910.044644
36-0.161318-1.47850.071506
37-0.181592-1.66430.049887
38-0.21008-1.92540.028781
39-0.236415-2.16680.016542
40-0.252021-2.30980.011676
41-0.250694-2.29760.012034
42-0.240987-2.20870.01496
43-0.228867-2.09760.019473
44-0.204981-1.87870.031878
45-0.17208-1.57710.059261
46-0.131667-1.20670.115458
47-0.051305-0.47020.319709
480.0759820.69640.244054
490.1513851.38750.084485
500.1672161.53260.064571
510.137141.25690.106134
520.0788120.72230.23605
530.037060.33970.367481
540.0130410.11950.452572
55-0.019035-0.17450.430964
56-0.043747-0.4010.344737
57-0.024568-0.22520.411196
580.0199690.1830.427611
590.0549690.50380.307861
600.0684380.62720.2661

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.841598 & 7.7134 & 0 \tabularnewline
2 & 0.616457 & 5.6499 & 0 \tabularnewline
3 & 0.418558 & 3.8361 & 0.000121 \tabularnewline
4 & 0.271258 & 2.4861 & 0.007448 \tabularnewline
5 & 0.187603 & 1.7194 & 0.044612 \tabularnewline
6 & 0.121762 & 1.116 & 0.13381 \tabularnewline
7 & 0.071981 & 0.6597 & 0.255619 \tabularnewline
8 & 0.050267 & 0.4607 & 0.323102 \tabularnewline
9 & 0.079262 & 0.7264 & 0.234792 \tabularnewline
10 & 0.102967 & 0.9437 & 0.174012 \tabularnewline
11 & 0.131554 & 1.2057 & 0.115658 \tabularnewline
12 & 0.176269 & 1.6155 & 0.054973 \tabularnewline
13 & 0.172209 & 1.5783 & 0.059125 \tabularnewline
14 & 0.14241 & 1.3052 & 0.097693 \tabularnewline
15 & 0.06078 & 0.5571 & 0.289486 \tabularnewline
16 & -0.025392 & -0.2327 & 0.408272 \tabularnewline
17 & -0.066851 & -0.6127 & 0.270865 \tabularnewline
18 & -0.083303 & -0.7635 & 0.223657 \tabularnewline
19 & -0.104431 & -0.9571 & 0.170624 \tabularnewline
20 & -0.114039 & -1.0452 & 0.149468 \tabularnewline
21 & -0.10473 & -0.9599 & 0.169938 \tabularnewline
22 & -0.074546 & -0.6832 & 0.248173 \tabularnewline
23 & -0.006445 & -0.0591 & 0.476517 \tabularnewline
24 & 0.051949 & 0.4761 & 0.317613 \tabularnewline
25 & -0.006344 & -0.0581 & 0.476887 \tabularnewline
26 & -0.085206 & -0.7809 & 0.21852 \tabularnewline
27 & -0.158755 & -1.455 & 0.074696 \tabularnewline
28 & -0.224428 & -2.0569 & 0.021399 \tabularnewline
29 & -0.245427 & -2.2494 & 0.013552 \tabularnewline
30 & -0.256754 & -2.3532 & 0.010475 \tabularnewline
31 & -0.268565 & -2.4614 & 0.007942 \tabularnewline
32 & -0.283302 & -2.5965 & 0.005558 \tabularnewline
33 & -0.269173 & -2.467 & 0.007828 \tabularnewline
34 & -0.227904 & -2.0888 & 0.019877 \tabularnewline
35 & -0.187564 & -1.7191 & 0.044644 \tabularnewline
36 & -0.161318 & -1.4785 & 0.071506 \tabularnewline
37 & -0.181592 & -1.6643 & 0.049887 \tabularnewline
38 & -0.21008 & -1.9254 & 0.028781 \tabularnewline
39 & -0.236415 & -2.1668 & 0.016542 \tabularnewline
40 & -0.252021 & -2.3098 & 0.011676 \tabularnewline
41 & -0.250694 & -2.2976 & 0.012034 \tabularnewline
42 & -0.240987 & -2.2087 & 0.01496 \tabularnewline
43 & -0.228867 & -2.0976 & 0.019473 \tabularnewline
44 & -0.204981 & -1.8787 & 0.031878 \tabularnewline
45 & -0.17208 & -1.5771 & 0.059261 \tabularnewline
46 & -0.131667 & -1.2067 & 0.115458 \tabularnewline
47 & -0.051305 & -0.4702 & 0.319709 \tabularnewline
48 & 0.075982 & 0.6964 & 0.244054 \tabularnewline
49 & 0.151385 & 1.3875 & 0.084485 \tabularnewline
50 & 0.167216 & 1.5326 & 0.064571 \tabularnewline
51 & 0.13714 & 1.2569 & 0.106134 \tabularnewline
52 & 0.078812 & 0.7223 & 0.23605 \tabularnewline
53 & 0.03706 & 0.3397 & 0.367481 \tabularnewline
54 & 0.013041 & 0.1195 & 0.452572 \tabularnewline
55 & -0.019035 & -0.1745 & 0.430964 \tabularnewline
56 & -0.043747 & -0.401 & 0.344737 \tabularnewline
57 & -0.024568 & -0.2252 & 0.411196 \tabularnewline
58 & 0.019969 & 0.183 & 0.427611 \tabularnewline
59 & 0.054969 & 0.5038 & 0.307861 \tabularnewline
60 & 0.068438 & 0.6272 & 0.2661 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232691&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]0.841598[/C][C]7.7134[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.616457[/C][C]5.6499[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.418558[/C][C]3.8361[/C][C]0.000121[/C][/ROW]
[ROW][C]4[/C][C]0.271258[/C][C]2.4861[/C][C]0.007448[/C][/ROW]
[ROW][C]5[/C][C]0.187603[/C][C]1.7194[/C][C]0.044612[/C][/ROW]
[ROW][C]6[/C][C]0.121762[/C][C]1.116[/C][C]0.13381[/C][/ROW]
[ROW][C]7[/C][C]0.071981[/C][C]0.6597[/C][C]0.255619[/C][/ROW]
[ROW][C]8[/C][C]0.050267[/C][C]0.4607[/C][C]0.323102[/C][/ROW]
[ROW][C]9[/C][C]0.079262[/C][C]0.7264[/C][C]0.234792[/C][/ROW]
[ROW][C]10[/C][C]0.102967[/C][C]0.9437[/C][C]0.174012[/C][/ROW]
[ROW][C]11[/C][C]0.131554[/C][C]1.2057[/C][C]0.115658[/C][/ROW]
[ROW][C]12[/C][C]0.176269[/C][C]1.6155[/C][C]0.054973[/C][/ROW]
[ROW][C]13[/C][C]0.172209[/C][C]1.5783[/C][C]0.059125[/C][/ROW]
[ROW][C]14[/C][C]0.14241[/C][C]1.3052[/C][C]0.097693[/C][/ROW]
[ROW][C]15[/C][C]0.06078[/C][C]0.5571[/C][C]0.289486[/C][/ROW]
[ROW][C]16[/C][C]-0.025392[/C][C]-0.2327[/C][C]0.408272[/C][/ROW]
[ROW][C]17[/C][C]-0.066851[/C][C]-0.6127[/C][C]0.270865[/C][/ROW]
[ROW][C]18[/C][C]-0.083303[/C][C]-0.7635[/C][C]0.223657[/C][/ROW]
[ROW][C]19[/C][C]-0.104431[/C][C]-0.9571[/C][C]0.170624[/C][/ROW]
[ROW][C]20[/C][C]-0.114039[/C][C]-1.0452[/C][C]0.149468[/C][/ROW]
[ROW][C]21[/C][C]-0.10473[/C][C]-0.9599[/C][C]0.169938[/C][/ROW]
[ROW][C]22[/C][C]-0.074546[/C][C]-0.6832[/C][C]0.248173[/C][/ROW]
[ROW][C]23[/C][C]-0.006445[/C][C]-0.0591[/C][C]0.476517[/C][/ROW]
[ROW][C]24[/C][C]0.051949[/C][C]0.4761[/C][C]0.317613[/C][/ROW]
[ROW][C]25[/C][C]-0.006344[/C][C]-0.0581[/C][C]0.476887[/C][/ROW]
[ROW][C]26[/C][C]-0.085206[/C][C]-0.7809[/C][C]0.21852[/C][/ROW]
[ROW][C]27[/C][C]-0.158755[/C][C]-1.455[/C][C]0.074696[/C][/ROW]
[ROW][C]28[/C][C]-0.224428[/C][C]-2.0569[/C][C]0.021399[/C][/ROW]
[ROW][C]29[/C][C]-0.245427[/C][C]-2.2494[/C][C]0.013552[/C][/ROW]
[ROW][C]30[/C][C]-0.256754[/C][C]-2.3532[/C][C]0.010475[/C][/ROW]
[ROW][C]31[/C][C]-0.268565[/C][C]-2.4614[/C][C]0.007942[/C][/ROW]
[ROW][C]32[/C][C]-0.283302[/C][C]-2.5965[/C][C]0.005558[/C][/ROW]
[ROW][C]33[/C][C]-0.269173[/C][C]-2.467[/C][C]0.007828[/C][/ROW]
[ROW][C]34[/C][C]-0.227904[/C][C]-2.0888[/C][C]0.019877[/C][/ROW]
[ROW][C]35[/C][C]-0.187564[/C][C]-1.7191[/C][C]0.044644[/C][/ROW]
[ROW][C]36[/C][C]-0.161318[/C][C]-1.4785[/C][C]0.071506[/C][/ROW]
[ROW][C]37[/C][C]-0.181592[/C][C]-1.6643[/C][C]0.049887[/C][/ROW]
[ROW][C]38[/C][C]-0.21008[/C][C]-1.9254[/C][C]0.028781[/C][/ROW]
[ROW][C]39[/C][C]-0.236415[/C][C]-2.1668[/C][C]0.016542[/C][/ROW]
[ROW][C]40[/C][C]-0.252021[/C][C]-2.3098[/C][C]0.011676[/C][/ROW]
[ROW][C]41[/C][C]-0.250694[/C][C]-2.2976[/C][C]0.012034[/C][/ROW]
[ROW][C]42[/C][C]-0.240987[/C][C]-2.2087[/C][C]0.01496[/C][/ROW]
[ROW][C]43[/C][C]-0.228867[/C][C]-2.0976[/C][C]0.019473[/C][/ROW]
[ROW][C]44[/C][C]-0.204981[/C][C]-1.8787[/C][C]0.031878[/C][/ROW]
[ROW][C]45[/C][C]-0.17208[/C][C]-1.5771[/C][C]0.059261[/C][/ROW]
[ROW][C]46[/C][C]-0.131667[/C][C]-1.2067[/C][C]0.115458[/C][/ROW]
[ROW][C]47[/C][C]-0.051305[/C][C]-0.4702[/C][C]0.319709[/C][/ROW]
[ROW][C]48[/C][C]0.075982[/C][C]0.6964[/C][C]0.244054[/C][/ROW]
[ROW][C]49[/C][C]0.151385[/C][C]1.3875[/C][C]0.084485[/C][/ROW]
[ROW][C]50[/C][C]0.167216[/C][C]1.5326[/C][C]0.064571[/C][/ROW]
[ROW][C]51[/C][C]0.13714[/C][C]1.2569[/C][C]0.106134[/C][/ROW]
[ROW][C]52[/C][C]0.078812[/C][C]0.7223[/C][C]0.23605[/C][/ROW]
[ROW][C]53[/C][C]0.03706[/C][C]0.3397[/C][C]0.367481[/C][/ROW]
[ROW][C]54[/C][C]0.013041[/C][C]0.1195[/C][C]0.452572[/C][/ROW]
[ROW][C]55[/C][C]-0.019035[/C][C]-0.1745[/C][C]0.430964[/C][/ROW]
[ROW][C]56[/C][C]-0.043747[/C][C]-0.401[/C][C]0.344737[/C][/ROW]
[ROW][C]57[/C][C]-0.024568[/C][C]-0.2252[/C][C]0.411196[/C][/ROW]
[ROW][C]58[/C][C]0.019969[/C][C]0.183[/C][C]0.427611[/C][/ROW]
[ROW][C]59[/C][C]0.054969[/C][C]0.5038[/C][C]0.307861[/C][/ROW]
[ROW][C]60[/C][C]0.068438[/C][C]0.6272[/C][C]0.2661[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232691&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232691&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
10.8415987.71340
20.6164575.64990
30.4185583.83610.000121
40.2712582.48610.007448
50.1876031.71940.044612
60.1217621.1160.13381
70.0719810.65970.255619
80.0502670.46070.323102
90.0792620.72640.234792
100.1029670.94370.174012
110.1315541.20570.115658
120.1762691.61550.054973
130.1722091.57830.059125
140.142411.30520.097693
150.060780.55710.289486
16-0.025392-0.23270.408272
17-0.066851-0.61270.270865
18-0.083303-0.76350.223657
19-0.104431-0.95710.170624
20-0.114039-1.04520.149468
21-0.10473-0.95990.169938
22-0.074546-0.68320.248173
23-0.006445-0.05910.476517
240.0519490.47610.317613
25-0.006344-0.05810.476887
26-0.085206-0.78090.21852
27-0.158755-1.4550.074696
28-0.224428-2.05690.021399
29-0.245427-2.24940.013552
30-0.256754-2.35320.010475
31-0.268565-2.46140.007942
32-0.283302-2.59650.005558
33-0.269173-2.4670.007828
34-0.227904-2.08880.019877
35-0.187564-1.71910.044644
36-0.161318-1.47850.071506
37-0.181592-1.66430.049887
38-0.21008-1.92540.028781
39-0.236415-2.16680.016542
40-0.252021-2.30980.011676
41-0.250694-2.29760.012034
42-0.240987-2.20870.01496
43-0.228867-2.09760.019473
44-0.204981-1.87870.031878
45-0.17208-1.57710.059261
46-0.131667-1.20670.115458
47-0.051305-0.47020.319709
480.0759820.69640.244054
490.1513851.38750.084485
500.1672161.53260.064571
510.137141.25690.106134
520.0788120.72230.23605
530.037060.33970.367481
540.0130410.11950.452572
55-0.019035-0.17450.430964
56-0.043747-0.4010.344737
57-0.024568-0.22520.411196
580.0199690.1830.427611
590.0549690.50380.307861
600.0684380.62720.2661







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.8415987.71340
2-0.314795-2.88510.002485
30.0051840.04750.481111
40.0025080.0230.490858
50.0656040.60130.274641
6-0.080467-0.73750.231438
70.0119940.10990.456363
80.0477310.43750.331449
90.141421.29610.099239
10-0.080145-0.73450.232332
110.0956680.87680.191544
120.1012720.92820.177987
13-0.135004-1.23730.109706
14-0.007561-0.06930.47246
15-0.163543-1.49890.068824
160.0297280.27250.392969
170.0507390.4650.321557
18-0.046731-0.42830.334764
19-0.080464-0.73750.231447
200.0687390.630.2652
21-0.023121-0.21190.416347
220.053780.49290.311683
230.0794760.72840.234195
24-0.023287-0.21340.415754
25-0.35617-3.26440.000794
260.0734070.67280.251466
27-0.021594-0.19790.421797
28-0.06495-0.59530.276629
290.0190520.17460.430902
30-0.047598-0.43620.33189
31-0.04578-0.41960.33793
32-0.112714-1.0330.152275
330.0563720.51670.303378
340.0852730.78150.21834
35-0.144054-1.32030.095165
36-0.144818-1.32730.094006
37-0.027855-0.25530.39956
38-0.014468-0.13260.447411
390.0783260.71790.237415
40-0.059554-0.54580.293317
41-0.074226-0.68030.249096
420.0061060.0560.477751
43-0.048336-0.4430.329451
440.0267790.24540.403361
450.0459060.42070.337511
46-0.007066-0.06480.47426
470.0364970.33450.369418
480.2084871.91080.02972
490.0107780.09880.460773
50-0.04605-0.42210.33703
51-0.040184-0.36830.356791
52-0.035907-0.32910.371451
53-0.070762-0.64850.2592
540.0198440.18190.428061
55-0.024317-0.22290.41209
560.073320.6720.251716
570.0073090.0670.473376
58-0.060153-0.55130.291442
59-0.007962-0.0730.471
60-0.096247-0.88210.190115

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.841598 & 7.7134 & 0 \tabularnewline
2 & -0.314795 & -2.8851 & 0.002485 \tabularnewline
3 & 0.005184 & 0.0475 & 0.481111 \tabularnewline
4 & 0.002508 & 0.023 & 0.490858 \tabularnewline
5 & 0.065604 & 0.6013 & 0.274641 \tabularnewline
6 & -0.080467 & -0.7375 & 0.231438 \tabularnewline
7 & 0.011994 & 0.1099 & 0.456363 \tabularnewline
8 & 0.047731 & 0.4375 & 0.331449 \tabularnewline
9 & 0.14142 & 1.2961 & 0.099239 \tabularnewline
10 & -0.080145 & -0.7345 & 0.232332 \tabularnewline
11 & 0.095668 & 0.8768 & 0.191544 \tabularnewline
12 & 0.101272 & 0.9282 & 0.177987 \tabularnewline
13 & -0.135004 & -1.2373 & 0.109706 \tabularnewline
14 & -0.007561 & -0.0693 & 0.47246 \tabularnewline
15 & -0.163543 & -1.4989 & 0.068824 \tabularnewline
16 & 0.029728 & 0.2725 & 0.392969 \tabularnewline
17 & 0.050739 & 0.465 & 0.321557 \tabularnewline
18 & -0.046731 & -0.4283 & 0.334764 \tabularnewline
19 & -0.080464 & -0.7375 & 0.231447 \tabularnewline
20 & 0.068739 & 0.63 & 0.2652 \tabularnewline
21 & -0.023121 & -0.2119 & 0.416347 \tabularnewline
22 & 0.05378 & 0.4929 & 0.311683 \tabularnewline
23 & 0.079476 & 0.7284 & 0.234195 \tabularnewline
24 & -0.023287 & -0.2134 & 0.415754 \tabularnewline
25 & -0.35617 & -3.2644 & 0.000794 \tabularnewline
26 & 0.073407 & 0.6728 & 0.251466 \tabularnewline
27 & -0.021594 & -0.1979 & 0.421797 \tabularnewline
28 & -0.06495 & -0.5953 & 0.276629 \tabularnewline
29 & 0.019052 & 0.1746 & 0.430902 \tabularnewline
30 & -0.047598 & -0.4362 & 0.33189 \tabularnewline
31 & -0.04578 & -0.4196 & 0.33793 \tabularnewline
32 & -0.112714 & -1.033 & 0.152275 \tabularnewline
33 & 0.056372 & 0.5167 & 0.303378 \tabularnewline
34 & 0.085273 & 0.7815 & 0.21834 \tabularnewline
35 & -0.144054 & -1.3203 & 0.095165 \tabularnewline
36 & -0.144818 & -1.3273 & 0.094006 \tabularnewline
37 & -0.027855 & -0.2553 & 0.39956 \tabularnewline
38 & -0.014468 & -0.1326 & 0.447411 \tabularnewline
39 & 0.078326 & 0.7179 & 0.237415 \tabularnewline
40 & -0.059554 & -0.5458 & 0.293317 \tabularnewline
41 & -0.074226 & -0.6803 & 0.249096 \tabularnewline
42 & 0.006106 & 0.056 & 0.477751 \tabularnewline
43 & -0.048336 & -0.443 & 0.329451 \tabularnewline
44 & 0.026779 & 0.2454 & 0.403361 \tabularnewline
45 & 0.045906 & 0.4207 & 0.337511 \tabularnewline
46 & -0.007066 & -0.0648 & 0.47426 \tabularnewline
47 & 0.036497 & 0.3345 & 0.369418 \tabularnewline
48 & 0.208487 & 1.9108 & 0.02972 \tabularnewline
49 & 0.010778 & 0.0988 & 0.460773 \tabularnewline
50 & -0.04605 & -0.4221 & 0.33703 \tabularnewline
51 & -0.040184 & -0.3683 & 0.356791 \tabularnewline
52 & -0.035907 & -0.3291 & 0.371451 \tabularnewline
53 & -0.070762 & -0.6485 & 0.2592 \tabularnewline
54 & 0.019844 & 0.1819 & 0.428061 \tabularnewline
55 & -0.024317 & -0.2229 & 0.41209 \tabularnewline
56 & 0.07332 & 0.672 & 0.251716 \tabularnewline
57 & 0.007309 & 0.067 & 0.473376 \tabularnewline
58 & -0.060153 & -0.5513 & 0.291442 \tabularnewline
59 & -0.007962 & -0.073 & 0.471 \tabularnewline
60 & -0.096247 & -0.8821 & 0.190115 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232691&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]0.841598[/C][C]7.7134[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.314795[/C][C]-2.8851[/C][C]0.002485[/C][/ROW]
[ROW][C]3[/C][C]0.005184[/C][C]0.0475[/C][C]0.481111[/C][/ROW]
[ROW][C]4[/C][C]0.002508[/C][C]0.023[/C][C]0.490858[/C][/ROW]
[ROW][C]5[/C][C]0.065604[/C][C]0.6013[/C][C]0.274641[/C][/ROW]
[ROW][C]6[/C][C]-0.080467[/C][C]-0.7375[/C][C]0.231438[/C][/ROW]
[ROW][C]7[/C][C]0.011994[/C][C]0.1099[/C][C]0.456363[/C][/ROW]
[ROW][C]8[/C][C]0.047731[/C][C]0.4375[/C][C]0.331449[/C][/ROW]
[ROW][C]9[/C][C]0.14142[/C][C]1.2961[/C][C]0.099239[/C][/ROW]
[ROW][C]10[/C][C]-0.080145[/C][C]-0.7345[/C][C]0.232332[/C][/ROW]
[ROW][C]11[/C][C]0.095668[/C][C]0.8768[/C][C]0.191544[/C][/ROW]
[ROW][C]12[/C][C]0.101272[/C][C]0.9282[/C][C]0.177987[/C][/ROW]
[ROW][C]13[/C][C]-0.135004[/C][C]-1.2373[/C][C]0.109706[/C][/ROW]
[ROW][C]14[/C][C]-0.007561[/C][C]-0.0693[/C][C]0.47246[/C][/ROW]
[ROW][C]15[/C][C]-0.163543[/C][C]-1.4989[/C][C]0.068824[/C][/ROW]
[ROW][C]16[/C][C]0.029728[/C][C]0.2725[/C][C]0.392969[/C][/ROW]
[ROW][C]17[/C][C]0.050739[/C][C]0.465[/C][C]0.321557[/C][/ROW]
[ROW][C]18[/C][C]-0.046731[/C][C]-0.4283[/C][C]0.334764[/C][/ROW]
[ROW][C]19[/C][C]-0.080464[/C][C]-0.7375[/C][C]0.231447[/C][/ROW]
[ROW][C]20[/C][C]0.068739[/C][C]0.63[/C][C]0.2652[/C][/ROW]
[ROW][C]21[/C][C]-0.023121[/C][C]-0.2119[/C][C]0.416347[/C][/ROW]
[ROW][C]22[/C][C]0.05378[/C][C]0.4929[/C][C]0.311683[/C][/ROW]
[ROW][C]23[/C][C]0.079476[/C][C]0.7284[/C][C]0.234195[/C][/ROW]
[ROW][C]24[/C][C]-0.023287[/C][C]-0.2134[/C][C]0.415754[/C][/ROW]
[ROW][C]25[/C][C]-0.35617[/C][C]-3.2644[/C][C]0.000794[/C][/ROW]
[ROW][C]26[/C][C]0.073407[/C][C]0.6728[/C][C]0.251466[/C][/ROW]
[ROW][C]27[/C][C]-0.021594[/C][C]-0.1979[/C][C]0.421797[/C][/ROW]
[ROW][C]28[/C][C]-0.06495[/C][C]-0.5953[/C][C]0.276629[/C][/ROW]
[ROW][C]29[/C][C]0.019052[/C][C]0.1746[/C][C]0.430902[/C][/ROW]
[ROW][C]30[/C][C]-0.047598[/C][C]-0.4362[/C][C]0.33189[/C][/ROW]
[ROW][C]31[/C][C]-0.04578[/C][C]-0.4196[/C][C]0.33793[/C][/ROW]
[ROW][C]32[/C][C]-0.112714[/C][C]-1.033[/C][C]0.152275[/C][/ROW]
[ROW][C]33[/C][C]0.056372[/C][C]0.5167[/C][C]0.303378[/C][/ROW]
[ROW][C]34[/C][C]0.085273[/C][C]0.7815[/C][C]0.21834[/C][/ROW]
[ROW][C]35[/C][C]-0.144054[/C][C]-1.3203[/C][C]0.095165[/C][/ROW]
[ROW][C]36[/C][C]-0.144818[/C][C]-1.3273[/C][C]0.094006[/C][/ROW]
[ROW][C]37[/C][C]-0.027855[/C][C]-0.2553[/C][C]0.39956[/C][/ROW]
[ROW][C]38[/C][C]-0.014468[/C][C]-0.1326[/C][C]0.447411[/C][/ROW]
[ROW][C]39[/C][C]0.078326[/C][C]0.7179[/C][C]0.237415[/C][/ROW]
[ROW][C]40[/C][C]-0.059554[/C][C]-0.5458[/C][C]0.293317[/C][/ROW]
[ROW][C]41[/C][C]-0.074226[/C][C]-0.6803[/C][C]0.249096[/C][/ROW]
[ROW][C]42[/C][C]0.006106[/C][C]0.056[/C][C]0.477751[/C][/ROW]
[ROW][C]43[/C][C]-0.048336[/C][C]-0.443[/C][C]0.329451[/C][/ROW]
[ROW][C]44[/C][C]0.026779[/C][C]0.2454[/C][C]0.403361[/C][/ROW]
[ROW][C]45[/C][C]0.045906[/C][C]0.4207[/C][C]0.337511[/C][/ROW]
[ROW][C]46[/C][C]-0.007066[/C][C]-0.0648[/C][C]0.47426[/C][/ROW]
[ROW][C]47[/C][C]0.036497[/C][C]0.3345[/C][C]0.369418[/C][/ROW]
[ROW][C]48[/C][C]0.208487[/C][C]1.9108[/C][C]0.02972[/C][/ROW]
[ROW][C]49[/C][C]0.010778[/C][C]0.0988[/C][C]0.460773[/C][/ROW]
[ROW][C]50[/C][C]-0.04605[/C][C]-0.4221[/C][C]0.33703[/C][/ROW]
[ROW][C]51[/C][C]-0.040184[/C][C]-0.3683[/C][C]0.356791[/C][/ROW]
[ROW][C]52[/C][C]-0.035907[/C][C]-0.3291[/C][C]0.371451[/C][/ROW]
[ROW][C]53[/C][C]-0.070762[/C][C]-0.6485[/C][C]0.2592[/C][/ROW]
[ROW][C]54[/C][C]0.019844[/C][C]0.1819[/C][C]0.428061[/C][/ROW]
[ROW][C]55[/C][C]-0.024317[/C][C]-0.2229[/C][C]0.41209[/C][/ROW]
[ROW][C]56[/C][C]0.07332[/C][C]0.672[/C][C]0.251716[/C][/ROW]
[ROW][C]57[/C][C]0.007309[/C][C]0.067[/C][C]0.473376[/C][/ROW]
[ROW][C]58[/C][C]-0.060153[/C][C]-0.5513[/C][C]0.291442[/C][/ROW]
[ROW][C]59[/C][C]-0.007962[/C][C]-0.073[/C][C]0.471[/C][/ROW]
[ROW][C]60[/C][C]-0.096247[/C][C]-0.8821[/C][C]0.190115[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232691&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232691&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
10.8415987.71340
2-0.314795-2.88510.002485
30.0051840.04750.481111
40.0025080.0230.490858
50.0656040.60130.274641
6-0.080467-0.73750.231438
70.0119940.10990.456363
80.0477310.43750.331449
90.141421.29610.099239
10-0.080145-0.73450.232332
110.0956680.87680.191544
120.1012720.92820.177987
13-0.135004-1.23730.109706
14-0.007561-0.06930.47246
15-0.163543-1.49890.068824
160.0297280.27250.392969
170.0507390.4650.321557
18-0.046731-0.42830.334764
19-0.080464-0.73750.231447
200.0687390.630.2652
21-0.023121-0.21190.416347
220.053780.49290.311683
230.0794760.72840.234195
24-0.023287-0.21340.415754
25-0.35617-3.26440.000794
260.0734070.67280.251466
27-0.021594-0.19790.421797
28-0.06495-0.59530.276629
290.0190520.17460.430902
30-0.047598-0.43620.33189
31-0.04578-0.41960.33793
32-0.112714-1.0330.152275
330.0563720.51670.303378
340.0852730.78150.21834
35-0.144054-1.32030.095165
36-0.144818-1.32730.094006
37-0.027855-0.25530.39956
38-0.014468-0.13260.447411
390.0783260.71790.237415
40-0.059554-0.54580.293317
41-0.074226-0.68030.249096
420.0061060.0560.477751
43-0.048336-0.4430.329451
440.0267790.24540.403361
450.0459060.42070.337511
46-0.007066-0.06480.47426
470.0364970.33450.369418
480.2084871.91080.02972
490.0107780.09880.460773
50-0.04605-0.42210.33703
51-0.040184-0.36830.356791
52-0.035907-0.32910.371451
53-0.070762-0.64850.2592
540.0198440.18190.428061
55-0.024317-0.22290.41209
560.073320.6720.251716
570.0073090.0670.473376
58-0.060153-0.55130.291442
59-0.007962-0.0730.471
60-0.096247-0.88210.190115



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ; par8 = ;
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 (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
par7 <- as.numeric(par7)
if (par8 != '') par8 <- as.numeric(par8)
ox <- x
if (par8 == '') {
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
} else {
x <- log(x,base=par8)
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='picts.png')
op <- par(mfrow=c(2,1))
plot(ox,type='l',main='Original Time Series',xlab='time',ylab='value')
if (par8=='') {
mytitle <- paste('Working Time Series (lambda=',par2,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
} else {
mytitle <- paste('Working Time Series (base=',par8,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(base=',par8,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
}
plot(x,type='l', main=mytitle,xlab='time',ylab='value')
par(op)
dev.off()
bitmap(file='pic1.png')
racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=mysub)
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF',sub=mysub)
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')