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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, 02 Dec 2008 05:30:27 -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/02/t1228221125822puwz81s0n8ke.htm/, Retrieved Fri, 17 May 2024 03:20:15 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=27679, Retrieved Fri, 17 May 2024 03:20:15 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact210
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Univariate Data Series] [Airline data] [2007-10-18 09:58:47] [42daae401fd3def69a25014f2252b4c2]
F RMPD  [Spectral Analysis] [Non Stationary Ti...] [2008-12-02 11:59:49] [74be16979710d4c4e7c6647856088456]
- RM D      [(Partial) Autocorrelation Function] [Non Stationary Ti...] [2008-12-02 12:30:27] [acca1d0ee7cc95ffc080d0867a313954] [Current]
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Dataseries X:
109.20
88.60
94.30
98.30
86.40
80.60
104.10
108.20
93.40
71.90
94.10
94.90
96.40
91.10
84.40
86.40
88.00
75.10
109.70
103.00
82.10
68.00
96.40
94.30
90.00
88.00
76.10
82.50
81.40
66.50
97.20
94.10
80.70
70.50
87.80
89.50
99.60
84.20
75.10
92.00
80.80
73.10
99.80
90.00
83.10
72.40
78.80
87.30
91.00
80.10
73.60
86.40
74.50
71.20
92.40
81.50
85.30
69.90
84.20
90.70
100.30




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=27679&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]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=27679&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=27679&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'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.1347120.9430.175158
20.111460.78020.219507
30.2849061.99430.025847
4-0.012685-0.08880.464804
50.0920470.64430.261184
60.0180210.12620.450065
7-0.219743-1.53820.065217
8-0.100175-0.70120.24324
9-0.026451-0.18520.426936
10-0.271424-1.90.031665
11-0.099686-0.69780.2443
12-0.211864-1.4830.072233
13-0.219528-1.53670.065401
140.0615830.43110.33415
150.0098920.06920.472539
16-0.027625-0.19340.423732
170.1837021.28590.102258
180.1402090.98150.165593
190.0802770.56190.288359
200.2243981.57080.061334
210.0078480.05490.478207
220.0462620.32380.37372
230.1953771.36760.088833
24-0.058986-0.41290.340741
25-0.042652-0.29860.383266
260.0087460.06120.475716
27-0.10245-0.71720.238342
28-0.039916-0.27940.390553
29-0.129613-0.90730.184346
30-0.258144-1.8070.038451
310.0037030.02590.489714
32-0.068881-0.48220.315917
33-0.075516-0.52860.29973
340.0448740.31410.377382
350.0081410.0570.477392
36-0.003418-0.02390.490504
370.0447940.31360.377595
380.0062940.04410.48252
39-0.04571-0.320.375177
400.0580070.4060.343238
41-0.02202-0.15410.439065
420.0585950.41020.341737
430.0005520.00390.498465
44-0.066359-0.46450.322168
45-0.068294-0.47810.317367
46-0.081455-0.57020.28558
470.0007320.00510.497965
48-0.072538-0.50780.306947
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 & 0.134712 & 0.943 & 0.175158 \tabularnewline
2 & 0.11146 & 0.7802 & 0.219507 \tabularnewline
3 & 0.284906 & 1.9943 & 0.025847 \tabularnewline
4 & -0.012685 & -0.0888 & 0.464804 \tabularnewline
5 & 0.092047 & 0.6443 & 0.261184 \tabularnewline
6 & 0.018021 & 0.1262 & 0.450065 \tabularnewline
7 & -0.219743 & -1.5382 & 0.065217 \tabularnewline
8 & -0.100175 & -0.7012 & 0.24324 \tabularnewline
9 & -0.026451 & -0.1852 & 0.426936 \tabularnewline
10 & -0.271424 & -1.9 & 0.031665 \tabularnewline
11 & -0.099686 & -0.6978 & 0.2443 \tabularnewline
12 & -0.211864 & -1.483 & 0.072233 \tabularnewline
13 & -0.219528 & -1.5367 & 0.065401 \tabularnewline
14 & 0.061583 & 0.4311 & 0.33415 \tabularnewline
15 & 0.009892 & 0.0692 & 0.472539 \tabularnewline
16 & -0.027625 & -0.1934 & 0.423732 \tabularnewline
17 & 0.183702 & 1.2859 & 0.102258 \tabularnewline
18 & 0.140209 & 0.9815 & 0.165593 \tabularnewline
19 & 0.080277 & 0.5619 & 0.288359 \tabularnewline
20 & 0.224398 & 1.5708 & 0.061334 \tabularnewline
21 & 0.007848 & 0.0549 & 0.478207 \tabularnewline
22 & 0.046262 & 0.3238 & 0.37372 \tabularnewline
23 & 0.195377 & 1.3676 & 0.088833 \tabularnewline
24 & -0.058986 & -0.4129 & 0.340741 \tabularnewline
25 & -0.042652 & -0.2986 & 0.383266 \tabularnewline
26 & 0.008746 & 0.0612 & 0.475716 \tabularnewline
27 & -0.10245 & -0.7172 & 0.238342 \tabularnewline
28 & -0.039916 & -0.2794 & 0.390553 \tabularnewline
29 & -0.129613 & -0.9073 & 0.184346 \tabularnewline
30 & -0.258144 & -1.807 & 0.038451 \tabularnewline
31 & 0.003703 & 0.0259 & 0.489714 \tabularnewline
32 & -0.068881 & -0.4822 & 0.315917 \tabularnewline
33 & -0.075516 & -0.5286 & 0.29973 \tabularnewline
34 & 0.044874 & 0.3141 & 0.377382 \tabularnewline
35 & 0.008141 & 0.057 & 0.477392 \tabularnewline
36 & -0.003418 & -0.0239 & 0.490504 \tabularnewline
37 & 0.044794 & 0.3136 & 0.377595 \tabularnewline
38 & 0.006294 & 0.0441 & 0.48252 \tabularnewline
39 & -0.04571 & -0.32 & 0.375177 \tabularnewline
40 & 0.058007 & 0.406 & 0.343238 \tabularnewline
41 & -0.02202 & -0.1541 & 0.439065 \tabularnewline
42 & 0.058595 & 0.4102 & 0.341737 \tabularnewline
43 & 0.000552 & 0.0039 & 0.498465 \tabularnewline
44 & -0.066359 & -0.4645 & 0.322168 \tabularnewline
45 & -0.068294 & -0.4781 & 0.317367 \tabularnewline
46 & -0.081455 & -0.5702 & 0.28558 \tabularnewline
47 & 0.000732 & 0.0051 & 0.497965 \tabularnewline
48 & -0.072538 & -0.5078 & 0.306947 \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=27679&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]0.134712[/C][C]0.943[/C][C]0.175158[/C][/ROW]
[ROW][C]2[/C][C]0.11146[/C][C]0.7802[/C][C]0.219507[/C][/ROW]
[ROW][C]3[/C][C]0.284906[/C][C]1.9943[/C][C]0.025847[/C][/ROW]
[ROW][C]4[/C][C]-0.012685[/C][C]-0.0888[/C][C]0.464804[/C][/ROW]
[ROW][C]5[/C][C]0.092047[/C][C]0.6443[/C][C]0.261184[/C][/ROW]
[ROW][C]6[/C][C]0.018021[/C][C]0.1262[/C][C]0.450065[/C][/ROW]
[ROW][C]7[/C][C]-0.219743[/C][C]-1.5382[/C][C]0.065217[/C][/ROW]
[ROW][C]8[/C][C]-0.100175[/C][C]-0.7012[/C][C]0.24324[/C][/ROW]
[ROW][C]9[/C][C]-0.026451[/C][C]-0.1852[/C][C]0.426936[/C][/ROW]
[ROW][C]10[/C][C]-0.271424[/C][C]-1.9[/C][C]0.031665[/C][/ROW]
[ROW][C]11[/C][C]-0.099686[/C][C]-0.6978[/C][C]0.2443[/C][/ROW]
[ROW][C]12[/C][C]-0.211864[/C][C]-1.483[/C][C]0.072233[/C][/ROW]
[ROW][C]13[/C][C]-0.219528[/C][C]-1.5367[/C][C]0.065401[/C][/ROW]
[ROW][C]14[/C][C]0.061583[/C][C]0.4311[/C][C]0.33415[/C][/ROW]
[ROW][C]15[/C][C]0.009892[/C][C]0.0692[/C][C]0.472539[/C][/ROW]
[ROW][C]16[/C][C]-0.027625[/C][C]-0.1934[/C][C]0.423732[/C][/ROW]
[ROW][C]17[/C][C]0.183702[/C][C]1.2859[/C][C]0.102258[/C][/ROW]
[ROW][C]18[/C][C]0.140209[/C][C]0.9815[/C][C]0.165593[/C][/ROW]
[ROW][C]19[/C][C]0.080277[/C][C]0.5619[/C][C]0.288359[/C][/ROW]
[ROW][C]20[/C][C]0.224398[/C][C]1.5708[/C][C]0.061334[/C][/ROW]
[ROW][C]21[/C][C]0.007848[/C][C]0.0549[/C][C]0.478207[/C][/ROW]
[ROW][C]22[/C][C]0.046262[/C][C]0.3238[/C][C]0.37372[/C][/ROW]
[ROW][C]23[/C][C]0.195377[/C][C]1.3676[/C][C]0.088833[/C][/ROW]
[ROW][C]24[/C][C]-0.058986[/C][C]-0.4129[/C][C]0.340741[/C][/ROW]
[ROW][C]25[/C][C]-0.042652[/C][C]-0.2986[/C][C]0.383266[/C][/ROW]
[ROW][C]26[/C][C]0.008746[/C][C]0.0612[/C][C]0.475716[/C][/ROW]
[ROW][C]27[/C][C]-0.10245[/C][C]-0.7172[/C][C]0.238342[/C][/ROW]
[ROW][C]28[/C][C]-0.039916[/C][C]-0.2794[/C][C]0.390553[/C][/ROW]
[ROW][C]29[/C][C]-0.129613[/C][C]-0.9073[/C][C]0.184346[/C][/ROW]
[ROW][C]30[/C][C]-0.258144[/C][C]-1.807[/C][C]0.038451[/C][/ROW]
[ROW][C]31[/C][C]0.003703[/C][C]0.0259[/C][C]0.489714[/C][/ROW]
[ROW][C]32[/C][C]-0.068881[/C][C]-0.4822[/C][C]0.315917[/C][/ROW]
[ROW][C]33[/C][C]-0.075516[/C][C]-0.5286[/C][C]0.29973[/C][/ROW]
[ROW][C]34[/C][C]0.044874[/C][C]0.3141[/C][C]0.377382[/C][/ROW]
[ROW][C]35[/C][C]0.008141[/C][C]0.057[/C][C]0.477392[/C][/ROW]
[ROW][C]36[/C][C]-0.003418[/C][C]-0.0239[/C][C]0.490504[/C][/ROW]
[ROW][C]37[/C][C]0.044794[/C][C]0.3136[/C][C]0.377595[/C][/ROW]
[ROW][C]38[/C][C]0.006294[/C][C]0.0441[/C][C]0.48252[/C][/ROW]
[ROW][C]39[/C][C]-0.04571[/C][C]-0.32[/C][C]0.375177[/C][/ROW]
[ROW][C]40[/C][C]0.058007[/C][C]0.406[/C][C]0.343238[/C][/ROW]
[ROW][C]41[/C][C]-0.02202[/C][C]-0.1541[/C][C]0.439065[/C][/ROW]
[ROW][C]42[/C][C]0.058595[/C][C]0.4102[/C][C]0.341737[/C][/ROW]
[ROW][C]43[/C][C]0.000552[/C][C]0.0039[/C][C]0.498465[/C][/ROW]
[ROW][C]44[/C][C]-0.066359[/C][C]-0.4645[/C][C]0.322168[/C][/ROW]
[ROW][C]45[/C][C]-0.068294[/C][C]-0.4781[/C][C]0.317367[/C][/ROW]
[ROW][C]46[/C][C]-0.081455[/C][C]-0.5702[/C][C]0.28558[/C][/ROW]
[ROW][C]47[/C][C]0.000732[/C][C]0.0051[/C][C]0.497965[/C][/ROW]
[ROW][C]48[/C][C]-0.072538[/C][C]-0.5078[/C][C]0.306947[/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=27679&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=27679&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
10.1347120.9430.175158
20.111460.78020.219507
30.2849061.99430.025847
4-0.012685-0.08880.464804
50.0920470.64430.261184
60.0180210.12620.450065
7-0.219743-1.53820.065217
8-0.100175-0.70120.24324
9-0.026451-0.18520.426936
10-0.271424-1.90.031665
11-0.099686-0.69780.2443
12-0.211864-1.4830.072233
13-0.219528-1.53670.065401
140.0615830.43110.33415
150.0098920.06920.472539
16-0.027625-0.19340.423732
170.1837021.28590.102258
180.1402090.98150.165593
190.0802770.56190.288359
200.2243981.57080.061334
210.0078480.05490.478207
220.0462620.32380.37372
230.1953771.36760.088833
24-0.058986-0.41290.340741
25-0.042652-0.29860.383266
260.0087460.06120.475716
27-0.10245-0.71720.238342
28-0.039916-0.27940.390553
29-0.129613-0.90730.184346
30-0.258144-1.8070.038451
310.0037030.02590.489714
32-0.068881-0.48220.315917
33-0.075516-0.52860.29973
340.0448740.31410.377382
350.0081410.0570.477392
36-0.003418-0.02390.490504
370.0447940.31360.377595
380.0062940.04410.48252
39-0.04571-0.320.375177
400.0580070.4060.343238
41-0.02202-0.15410.439065
420.0585950.41020.341737
430.0005520.00390.498465
44-0.066359-0.46450.322168
45-0.068294-0.47810.317367
46-0.081455-0.57020.28558
470.0007320.00510.497965
48-0.072538-0.50780.306947
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.1347120.9430.175158
20.0950370.66530.254501
30.2656931.85990.034457
4-0.091782-0.64250.261781
50.0622930.43610.332358
6-0.075379-0.52770.300061
7-0.217441-1.52210.067208
8-0.106238-0.74370.230315
90.0515270.36070.359941
10-0.17524-1.22670.112902
11-0.013174-0.09220.463449
12-0.176916-1.23840.110731
13-0.0642-0.44940.327562
140.0917280.64210.261902
150.131870.92310.180241
160.0195170.13660.445946
170.1258970.88130.191234
180.0680110.47610.318068
19-0.030836-0.21590.414998
200.0237940.16660.434201
21-0.078117-0.54680.293493
22-0.040795-0.28560.388206
230.0754420.52810.299908
24-0.057961-0.40570.343355
25-0.057885-0.40520.343549
26-0.001442-0.01010.495995
270.0611110.42780.335343
280.0330940.23170.408883
29-0.082614-0.57830.282857
30-0.102974-0.72080.237222
310.0735460.51480.304496
32-0.037107-0.25970.398073
330.0478850.33520.369453
34-0.013154-0.09210.463505
350.0595670.4170.339262
36-0.071588-0.50110.309267
37-0.117301-0.82110.207781
38-0.054126-0.37890.353206
39-0.04544-0.31810.375887
40-0.025917-0.18140.428393
41-0.035478-0.24830.402453
420.0500130.35010.363887
43-0.044891-0.31420.377337
440.0069890.04890.480591
45-0.095803-0.67060.252805
46-0.069049-0.48330.315502
470.1295790.90710.184409
48-0.016222-0.11360.455027
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 & 0.134712 & 0.943 & 0.175158 \tabularnewline
2 & 0.095037 & 0.6653 & 0.254501 \tabularnewline
3 & 0.265693 & 1.8599 & 0.034457 \tabularnewline
4 & -0.091782 & -0.6425 & 0.261781 \tabularnewline
5 & 0.062293 & 0.4361 & 0.332358 \tabularnewline
6 & -0.075379 & -0.5277 & 0.300061 \tabularnewline
7 & -0.217441 & -1.5221 & 0.067208 \tabularnewline
8 & -0.106238 & -0.7437 & 0.230315 \tabularnewline
9 & 0.051527 & 0.3607 & 0.359941 \tabularnewline
10 & -0.17524 & -1.2267 & 0.112902 \tabularnewline
11 & -0.013174 & -0.0922 & 0.463449 \tabularnewline
12 & -0.176916 & -1.2384 & 0.110731 \tabularnewline
13 & -0.0642 & -0.4494 & 0.327562 \tabularnewline
14 & 0.091728 & 0.6421 & 0.261902 \tabularnewline
15 & 0.13187 & 0.9231 & 0.180241 \tabularnewline
16 & 0.019517 & 0.1366 & 0.445946 \tabularnewline
17 & 0.125897 & 0.8813 & 0.191234 \tabularnewline
18 & 0.068011 & 0.4761 & 0.318068 \tabularnewline
19 & -0.030836 & -0.2159 & 0.414998 \tabularnewline
20 & 0.023794 & 0.1666 & 0.434201 \tabularnewline
21 & -0.078117 & -0.5468 & 0.293493 \tabularnewline
22 & -0.040795 & -0.2856 & 0.388206 \tabularnewline
23 & 0.075442 & 0.5281 & 0.299908 \tabularnewline
24 & -0.057961 & -0.4057 & 0.343355 \tabularnewline
25 & -0.057885 & -0.4052 & 0.343549 \tabularnewline
26 & -0.001442 & -0.0101 & 0.495995 \tabularnewline
27 & 0.061111 & 0.4278 & 0.335343 \tabularnewline
28 & 0.033094 & 0.2317 & 0.408883 \tabularnewline
29 & -0.082614 & -0.5783 & 0.282857 \tabularnewline
30 & -0.102974 & -0.7208 & 0.237222 \tabularnewline
31 & 0.073546 & 0.5148 & 0.304496 \tabularnewline
32 & -0.037107 & -0.2597 & 0.398073 \tabularnewline
33 & 0.047885 & 0.3352 & 0.369453 \tabularnewline
34 & -0.013154 & -0.0921 & 0.463505 \tabularnewline
35 & 0.059567 & 0.417 & 0.339262 \tabularnewline
36 & -0.071588 & -0.5011 & 0.309267 \tabularnewline
37 & -0.117301 & -0.8211 & 0.207781 \tabularnewline
38 & -0.054126 & -0.3789 & 0.353206 \tabularnewline
39 & -0.04544 & -0.3181 & 0.375887 \tabularnewline
40 & -0.025917 & -0.1814 & 0.428393 \tabularnewline
41 & -0.035478 & -0.2483 & 0.402453 \tabularnewline
42 & 0.050013 & 0.3501 & 0.363887 \tabularnewline
43 & -0.044891 & -0.3142 & 0.377337 \tabularnewline
44 & 0.006989 & 0.0489 & 0.480591 \tabularnewline
45 & -0.095803 & -0.6706 & 0.252805 \tabularnewline
46 & -0.069049 & -0.4833 & 0.315502 \tabularnewline
47 & 0.129579 & 0.9071 & 0.184409 \tabularnewline
48 & -0.016222 & -0.1136 & 0.455027 \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=27679&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]0.134712[/C][C]0.943[/C][C]0.175158[/C][/ROW]
[ROW][C]2[/C][C]0.095037[/C][C]0.6653[/C][C]0.254501[/C][/ROW]
[ROW][C]3[/C][C]0.265693[/C][C]1.8599[/C][C]0.034457[/C][/ROW]
[ROW][C]4[/C][C]-0.091782[/C][C]-0.6425[/C][C]0.261781[/C][/ROW]
[ROW][C]5[/C][C]0.062293[/C][C]0.4361[/C][C]0.332358[/C][/ROW]
[ROW][C]6[/C][C]-0.075379[/C][C]-0.5277[/C][C]0.300061[/C][/ROW]
[ROW][C]7[/C][C]-0.217441[/C][C]-1.5221[/C][C]0.067208[/C][/ROW]
[ROW][C]8[/C][C]-0.106238[/C][C]-0.7437[/C][C]0.230315[/C][/ROW]
[ROW][C]9[/C][C]0.051527[/C][C]0.3607[/C][C]0.359941[/C][/ROW]
[ROW][C]10[/C][C]-0.17524[/C][C]-1.2267[/C][C]0.112902[/C][/ROW]
[ROW][C]11[/C][C]-0.013174[/C][C]-0.0922[/C][C]0.463449[/C][/ROW]
[ROW][C]12[/C][C]-0.176916[/C][C]-1.2384[/C][C]0.110731[/C][/ROW]
[ROW][C]13[/C][C]-0.0642[/C][C]-0.4494[/C][C]0.327562[/C][/ROW]
[ROW][C]14[/C][C]0.091728[/C][C]0.6421[/C][C]0.261902[/C][/ROW]
[ROW][C]15[/C][C]0.13187[/C][C]0.9231[/C][C]0.180241[/C][/ROW]
[ROW][C]16[/C][C]0.019517[/C][C]0.1366[/C][C]0.445946[/C][/ROW]
[ROW][C]17[/C][C]0.125897[/C][C]0.8813[/C][C]0.191234[/C][/ROW]
[ROW][C]18[/C][C]0.068011[/C][C]0.4761[/C][C]0.318068[/C][/ROW]
[ROW][C]19[/C][C]-0.030836[/C][C]-0.2159[/C][C]0.414998[/C][/ROW]
[ROW][C]20[/C][C]0.023794[/C][C]0.1666[/C][C]0.434201[/C][/ROW]
[ROW][C]21[/C][C]-0.078117[/C][C]-0.5468[/C][C]0.293493[/C][/ROW]
[ROW][C]22[/C][C]-0.040795[/C][C]-0.2856[/C][C]0.388206[/C][/ROW]
[ROW][C]23[/C][C]0.075442[/C][C]0.5281[/C][C]0.299908[/C][/ROW]
[ROW][C]24[/C][C]-0.057961[/C][C]-0.4057[/C][C]0.343355[/C][/ROW]
[ROW][C]25[/C][C]-0.057885[/C][C]-0.4052[/C][C]0.343549[/C][/ROW]
[ROW][C]26[/C][C]-0.001442[/C][C]-0.0101[/C][C]0.495995[/C][/ROW]
[ROW][C]27[/C][C]0.061111[/C][C]0.4278[/C][C]0.335343[/C][/ROW]
[ROW][C]28[/C][C]0.033094[/C][C]0.2317[/C][C]0.408883[/C][/ROW]
[ROW][C]29[/C][C]-0.082614[/C][C]-0.5783[/C][C]0.282857[/C][/ROW]
[ROW][C]30[/C][C]-0.102974[/C][C]-0.7208[/C][C]0.237222[/C][/ROW]
[ROW][C]31[/C][C]0.073546[/C][C]0.5148[/C][C]0.304496[/C][/ROW]
[ROW][C]32[/C][C]-0.037107[/C][C]-0.2597[/C][C]0.398073[/C][/ROW]
[ROW][C]33[/C][C]0.047885[/C][C]0.3352[/C][C]0.369453[/C][/ROW]
[ROW][C]34[/C][C]-0.013154[/C][C]-0.0921[/C][C]0.463505[/C][/ROW]
[ROW][C]35[/C][C]0.059567[/C][C]0.417[/C][C]0.339262[/C][/ROW]
[ROW][C]36[/C][C]-0.071588[/C][C]-0.5011[/C][C]0.309267[/C][/ROW]
[ROW][C]37[/C][C]-0.117301[/C][C]-0.8211[/C][C]0.207781[/C][/ROW]
[ROW][C]38[/C][C]-0.054126[/C][C]-0.3789[/C][C]0.353206[/C][/ROW]
[ROW][C]39[/C][C]-0.04544[/C][C]-0.3181[/C][C]0.375887[/C][/ROW]
[ROW][C]40[/C][C]-0.025917[/C][C]-0.1814[/C][C]0.428393[/C][/ROW]
[ROW][C]41[/C][C]-0.035478[/C][C]-0.2483[/C][C]0.402453[/C][/ROW]
[ROW][C]42[/C][C]0.050013[/C][C]0.3501[/C][C]0.363887[/C][/ROW]
[ROW][C]43[/C][C]-0.044891[/C][C]-0.3142[/C][C]0.377337[/C][/ROW]
[ROW][C]44[/C][C]0.006989[/C][C]0.0489[/C][C]0.480591[/C][/ROW]
[ROW][C]45[/C][C]-0.095803[/C][C]-0.6706[/C][C]0.252805[/C][/ROW]
[ROW][C]46[/C][C]-0.069049[/C][C]-0.4833[/C][C]0.315502[/C][/ROW]
[ROW][C]47[/C][C]0.129579[/C][C]0.9071[/C][C]0.184409[/C][/ROW]
[ROW][C]48[/C][C]-0.016222[/C][C]-0.1136[/C][C]0.455027[/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=27679&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=27679&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
10.1347120.9430.175158
20.0950370.66530.254501
30.2656931.85990.034457
4-0.091782-0.64250.261781
50.0622930.43610.332358
6-0.075379-0.52770.300061
7-0.217441-1.52210.067208
8-0.106238-0.74370.230315
90.0515270.36070.359941
10-0.17524-1.22670.112902
11-0.013174-0.09220.463449
12-0.176916-1.23840.110731
13-0.0642-0.44940.327562
140.0917280.64210.261902
150.131870.92310.180241
160.0195170.13660.445946
170.1258970.88130.191234
180.0680110.47610.318068
19-0.030836-0.21590.414998
200.0237940.16660.434201
21-0.078117-0.54680.293493
22-0.040795-0.28560.388206
230.0754420.52810.299908
24-0.057961-0.40570.343355
25-0.057885-0.40520.343549
26-0.001442-0.01010.495995
270.0611110.42780.335343
280.0330940.23170.408883
29-0.082614-0.57830.282857
30-0.102974-0.72080.237222
310.0735460.51480.304496
32-0.037107-0.25970.398073
330.0478850.33520.369453
34-0.013154-0.09210.463505
350.0595670.4170.339262
36-0.071588-0.50110.309267
37-0.117301-0.82110.207781
38-0.054126-0.37890.353206
39-0.04544-0.31810.375887
40-0.025917-0.18140.428393
41-0.035478-0.24830.402453
420.0500130.35010.363887
43-0.044891-0.31420.377337
440.0069890.04890.480591
45-0.095803-0.67060.252805
46-0.069049-0.48330.315502
470.1295790.90710.184409
48-0.016222-0.11360.455027
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA



Parameters (Session):
par1 = 36 ; par2 = -0.3 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 0 ; 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')