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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 computationSun, 21 Dec 2008 09:54:57 -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/21/t1229878924k3aonm3c6a98gqc.htm/, Retrieved Fri, 17 May 2024 06:17:11 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=35690, Retrieved Fri, 17 May 2024 06:17:11 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact154
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Standard Deviation-Mean Plot] [] [2008-12-12 12:13:32] [fad8a251ac01c156a8ae23a83577546f]
- RMPD  [(Partial) Autocorrelation Function] [Consumptiegoederen] [2008-12-12 13:39:25] [fad8a251ac01c156a8ae23a83577546f]
-   PD    [(Partial) Autocorrelation Function] [auto corr inv] [2008-12-19 11:19:14] [fad8a251ac01c156a8ae23a83577546f]
-   PD        [(Partial) Autocorrelation Function] [autocorr inv D] [2008-12-21 16:54:57] [fa8b44cd657c07c6ee11bb2476ca3f8d] [Current]
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Dataseries X:
93.0
99.2
112.2
112.1
103.3
108.2
90.4
72.8
111.0
117.9
111.3
110.5
94.8
100.4
132.1
114.6
101.9
130.2
84.0
86.4
122.3
120.9
110.2
112.6
102.0
105.0
130.5
115.5
103.7
130.9
89.1
93.8
123.8
111.9
118.3
116.9
103.6
116.6
141.3
107.0
125.2
136.4
91.6
95.3
132.3
130.6
131.9
118.6
114.3
111.3
126.5
112.1
119.3
142.4
101.1
97.4
129.1
136.9
129.8
123.9




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35690&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35690&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35690&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 time1 seconds
R Server'George Udny Yule' @ 72.249.76.132







Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.147728-1.02350.155603
2-0.046091-0.31930.375433
30.2339151.62060.055826
4-0.207868-1.44020.078157
5-0.070696-0.48980.313256
60.1591941.10290.137779
7-0.079212-0.54880.292843
80.0541690.37530.354547
9-0.093284-0.64630.260586
10-0.050927-0.35280.362878
110.0618360.42840.335134
12-0.296725-2.05580.022633
13-0.091649-0.6350.264234
140.0111840.07750.469279
15-0.09141-0.63330.264769
16-0.08642-0.59870.276082
170.2239691.55170.063651
18-0.112673-0.78060.219429
19-0.141141-0.97790.166525
200.0637930.4420.330248
210.1371210.950.173434
22-0.174444-1.20860.116371
230.2183871.5130.068415
240.0368080.2550.399902
25-0.042092-0.29160.385916
260.1396360.96740.169089
270.0261050.18090.428619
280.0549560.38070.352537
290.056940.39450.347482
30-0.079752-0.55250.291572
310.0895580.62050.268941
320.005820.04030.484
33-0.168081-1.16450.124989
340.144541.00140.160826
35-0.101367-0.70230.242945
36-0.106052-0.73470.233034
370.0587170.40680.342981
38-0.04753-0.32930.371681
39-0.052097-0.36090.359864
400.0930670.64480.261067
41-0.062716-0.43450.332932
42-0.025438-0.17620.430424
430.023090.160.436787
44-0.031779-0.22020.413336
450.0110470.07650.469656
460.0042540.02950.488305
47-0.000934-0.00650.497433
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.147728 & -1.0235 & 0.155603 \tabularnewline
2 & -0.046091 & -0.3193 & 0.375433 \tabularnewline
3 & 0.233915 & 1.6206 & 0.055826 \tabularnewline
4 & -0.207868 & -1.4402 & 0.078157 \tabularnewline
5 & -0.070696 & -0.4898 & 0.313256 \tabularnewline
6 & 0.159194 & 1.1029 & 0.137779 \tabularnewline
7 & -0.079212 & -0.5488 & 0.292843 \tabularnewline
8 & 0.054169 & 0.3753 & 0.354547 \tabularnewline
9 & -0.093284 & -0.6463 & 0.260586 \tabularnewline
10 & -0.050927 & -0.3528 & 0.362878 \tabularnewline
11 & 0.061836 & 0.4284 & 0.335134 \tabularnewline
12 & -0.296725 & -2.0558 & 0.022633 \tabularnewline
13 & -0.091649 & -0.635 & 0.264234 \tabularnewline
14 & 0.011184 & 0.0775 & 0.469279 \tabularnewline
15 & -0.09141 & -0.6333 & 0.264769 \tabularnewline
16 & -0.08642 & -0.5987 & 0.276082 \tabularnewline
17 & 0.223969 & 1.5517 & 0.063651 \tabularnewline
18 & -0.112673 & -0.7806 & 0.219429 \tabularnewline
19 & -0.141141 & -0.9779 & 0.166525 \tabularnewline
20 & 0.063793 & 0.442 & 0.330248 \tabularnewline
21 & 0.137121 & 0.95 & 0.173434 \tabularnewline
22 & -0.174444 & -1.2086 & 0.116371 \tabularnewline
23 & 0.218387 & 1.513 & 0.068415 \tabularnewline
24 & 0.036808 & 0.255 & 0.399902 \tabularnewline
25 & -0.042092 & -0.2916 & 0.385916 \tabularnewline
26 & 0.139636 & 0.9674 & 0.169089 \tabularnewline
27 & 0.026105 & 0.1809 & 0.428619 \tabularnewline
28 & 0.054956 & 0.3807 & 0.352537 \tabularnewline
29 & 0.05694 & 0.3945 & 0.347482 \tabularnewline
30 & -0.079752 & -0.5525 & 0.291572 \tabularnewline
31 & 0.089558 & 0.6205 & 0.268941 \tabularnewline
32 & 0.00582 & 0.0403 & 0.484 \tabularnewline
33 & -0.168081 & -1.1645 & 0.124989 \tabularnewline
34 & 0.14454 & 1.0014 & 0.160826 \tabularnewline
35 & -0.101367 & -0.7023 & 0.242945 \tabularnewline
36 & -0.106052 & -0.7347 & 0.233034 \tabularnewline
37 & 0.058717 & 0.4068 & 0.342981 \tabularnewline
38 & -0.04753 & -0.3293 & 0.371681 \tabularnewline
39 & -0.052097 & -0.3609 & 0.359864 \tabularnewline
40 & 0.093067 & 0.6448 & 0.261067 \tabularnewline
41 & -0.062716 & -0.4345 & 0.332932 \tabularnewline
42 & -0.025438 & -0.1762 & 0.430424 \tabularnewline
43 & 0.02309 & 0.16 & 0.436787 \tabularnewline
44 & -0.031779 & -0.2202 & 0.413336 \tabularnewline
45 & 0.011047 & 0.0765 & 0.469656 \tabularnewline
46 & 0.004254 & 0.0295 & 0.488305 \tabularnewline
47 & -0.000934 & -0.0065 & 0.497433 \tabularnewline
48 & NA & NA & NA \tabularnewline
49 & NA & NA & NA \tabularnewline
50 & NA & NA & NA \tabularnewline
51 & NA & NA & NA \tabularnewline
52 & NA & NA & NA \tabularnewline
53 & NA & NA & NA \tabularnewline
54 & NA & NA & NA \tabularnewline
55 & NA & NA & NA \tabularnewline
56 & NA & NA & NA \tabularnewline
57 & NA & NA & NA \tabularnewline
58 & NA & NA & NA \tabularnewline
59 & NA & NA & NA \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35690&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]-0.147728[/C][C]-1.0235[/C][C]0.155603[/C][/ROW]
[ROW][C]2[/C][C]-0.046091[/C][C]-0.3193[/C][C]0.375433[/C][/ROW]
[ROW][C]3[/C][C]0.233915[/C][C]1.6206[/C][C]0.055826[/C][/ROW]
[ROW][C]4[/C][C]-0.207868[/C][C]-1.4402[/C][C]0.078157[/C][/ROW]
[ROW][C]5[/C][C]-0.070696[/C][C]-0.4898[/C][C]0.313256[/C][/ROW]
[ROW][C]6[/C][C]0.159194[/C][C]1.1029[/C][C]0.137779[/C][/ROW]
[ROW][C]7[/C][C]-0.079212[/C][C]-0.5488[/C][C]0.292843[/C][/ROW]
[ROW][C]8[/C][C]0.054169[/C][C]0.3753[/C][C]0.354547[/C][/ROW]
[ROW][C]9[/C][C]-0.093284[/C][C]-0.6463[/C][C]0.260586[/C][/ROW]
[ROW][C]10[/C][C]-0.050927[/C][C]-0.3528[/C][C]0.362878[/C][/ROW]
[ROW][C]11[/C][C]0.061836[/C][C]0.4284[/C][C]0.335134[/C][/ROW]
[ROW][C]12[/C][C]-0.296725[/C][C]-2.0558[/C][C]0.022633[/C][/ROW]
[ROW][C]13[/C][C]-0.091649[/C][C]-0.635[/C][C]0.264234[/C][/ROW]
[ROW][C]14[/C][C]0.011184[/C][C]0.0775[/C][C]0.469279[/C][/ROW]
[ROW][C]15[/C][C]-0.09141[/C][C]-0.6333[/C][C]0.264769[/C][/ROW]
[ROW][C]16[/C][C]-0.08642[/C][C]-0.5987[/C][C]0.276082[/C][/ROW]
[ROW][C]17[/C][C]0.223969[/C][C]1.5517[/C][C]0.063651[/C][/ROW]
[ROW][C]18[/C][C]-0.112673[/C][C]-0.7806[/C][C]0.219429[/C][/ROW]
[ROW][C]19[/C][C]-0.141141[/C][C]-0.9779[/C][C]0.166525[/C][/ROW]
[ROW][C]20[/C][C]0.063793[/C][C]0.442[/C][C]0.330248[/C][/ROW]
[ROW][C]21[/C][C]0.137121[/C][C]0.95[/C][C]0.173434[/C][/ROW]
[ROW][C]22[/C][C]-0.174444[/C][C]-1.2086[/C][C]0.116371[/C][/ROW]
[ROW][C]23[/C][C]0.218387[/C][C]1.513[/C][C]0.068415[/C][/ROW]
[ROW][C]24[/C][C]0.036808[/C][C]0.255[/C][C]0.399902[/C][/ROW]
[ROW][C]25[/C][C]-0.042092[/C][C]-0.2916[/C][C]0.385916[/C][/ROW]
[ROW][C]26[/C][C]0.139636[/C][C]0.9674[/C][C]0.169089[/C][/ROW]
[ROW][C]27[/C][C]0.026105[/C][C]0.1809[/C][C]0.428619[/C][/ROW]
[ROW][C]28[/C][C]0.054956[/C][C]0.3807[/C][C]0.352537[/C][/ROW]
[ROW][C]29[/C][C]0.05694[/C][C]0.3945[/C][C]0.347482[/C][/ROW]
[ROW][C]30[/C][C]-0.079752[/C][C]-0.5525[/C][C]0.291572[/C][/ROW]
[ROW][C]31[/C][C]0.089558[/C][C]0.6205[/C][C]0.268941[/C][/ROW]
[ROW][C]32[/C][C]0.00582[/C][C]0.0403[/C][C]0.484[/C][/ROW]
[ROW][C]33[/C][C]-0.168081[/C][C]-1.1645[/C][C]0.124989[/C][/ROW]
[ROW][C]34[/C][C]0.14454[/C][C]1.0014[/C][C]0.160826[/C][/ROW]
[ROW][C]35[/C][C]-0.101367[/C][C]-0.7023[/C][C]0.242945[/C][/ROW]
[ROW][C]36[/C][C]-0.106052[/C][C]-0.7347[/C][C]0.233034[/C][/ROW]
[ROW][C]37[/C][C]0.058717[/C][C]0.4068[/C][C]0.342981[/C][/ROW]
[ROW][C]38[/C][C]-0.04753[/C][C]-0.3293[/C][C]0.371681[/C][/ROW]
[ROW][C]39[/C][C]-0.052097[/C][C]-0.3609[/C][C]0.359864[/C][/ROW]
[ROW][C]40[/C][C]0.093067[/C][C]0.6448[/C][C]0.261067[/C][/ROW]
[ROW][C]41[/C][C]-0.062716[/C][C]-0.4345[/C][C]0.332932[/C][/ROW]
[ROW][C]42[/C][C]-0.025438[/C][C]-0.1762[/C][C]0.430424[/C][/ROW]
[ROW][C]43[/C][C]0.02309[/C][C]0.16[/C][C]0.436787[/C][/ROW]
[ROW][C]44[/C][C]-0.031779[/C][C]-0.2202[/C][C]0.413336[/C][/ROW]
[ROW][C]45[/C][C]0.011047[/C][C]0.0765[/C][C]0.469656[/C][/ROW]
[ROW][C]46[/C][C]0.004254[/C][C]0.0295[/C][C]0.488305[/C][/ROW]
[ROW][C]47[/C][C]-0.000934[/C][C]-0.0065[/C][C]0.497433[/C][/ROW]
[ROW][C]48[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]49[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]50[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]51[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]52[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]53[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]54[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]55[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]56[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]57[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]58[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]60[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35690&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35690&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
1-0.147728-1.02350.155603
2-0.046091-0.31930.375433
30.2339151.62060.055826
4-0.207868-1.44020.078157
5-0.070696-0.48980.313256
60.1591941.10290.137779
7-0.079212-0.54880.292843
80.0541690.37530.354547
9-0.093284-0.64630.260586
10-0.050927-0.35280.362878
110.0618360.42840.335134
12-0.296725-2.05580.022633
13-0.091649-0.6350.264234
140.0111840.07750.469279
15-0.09141-0.63330.264769
16-0.08642-0.59870.276082
170.2239691.55170.063651
18-0.112673-0.78060.219429
19-0.141141-0.97790.166525
200.0637930.4420.330248
210.1371210.950.173434
22-0.174444-1.20860.116371
230.2183871.5130.068415
240.0368080.2550.399902
25-0.042092-0.29160.385916
260.1396360.96740.169089
270.0261050.18090.428619
280.0549560.38070.352537
290.056940.39450.347482
30-0.079752-0.55250.291572
310.0895580.62050.268941
320.005820.04030.484
33-0.168081-1.16450.124989
340.144541.00140.160826
35-0.101367-0.70230.242945
36-0.106052-0.73470.233034
370.0587170.40680.342981
38-0.04753-0.32930.371681
39-0.052097-0.36090.359864
400.0930670.64480.261067
41-0.062716-0.43450.332932
42-0.025438-0.17620.430424
430.023090.160.436787
44-0.031779-0.22020.413336
450.0110470.07650.469656
460.0042540.02950.488305
47-0.000934-0.00650.497433
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.147728-1.02350.155603
2-0.069429-0.4810.316344
30.2222761.540.065067
4-0.154823-1.07260.144396
5-0.108006-0.74830.228969
60.0864450.59890.276026
70.0259630.17990.429003
80.0603040.41780.338978
9-0.183297-1.26990.105118
10-0.038546-0.26710.395284
110.0552140.38250.351876
12-0.274053-1.89870.031813
13-0.218738-1.51550.068107
14-0.124549-0.86290.196242
150.0577490.40010.345431
16-0.185269-1.28360.102725
170.0926550.64190.261986
18-0.053903-0.37340.355229
19-0.154097-1.06760.145517
20-0.096239-0.66680.254058
210.1788211.23890.110701
22-0.149164-1.03340.153288
230.0640940.44410.329498
24-0.096042-0.66540.254491
250.0117040.08110.467853
260.0349820.24240.404765
270.0074180.05140.479613
280.0103830.07190.471475
290.0787230.54540.293999
30-0.008916-0.06180.475499
31-0.023757-0.16460.434977
32-0.043206-0.29930.382987
33-0.003612-0.0250.490068
34-0.037465-0.25960.398154
350.0010910.00760.496999
36-0.008371-0.0580.476995
37-0.004335-0.030.488083
38-0.077373-0.53610.297198
390.1375040.95270.172768
400.0926650.6420.261964
410.0528130.36590.358023
42-0.080327-0.55650.290219
430.0992920.68790.24741
44-0.036787-0.25490.399957
450.0221790.15370.439261
46-0.090027-0.62370.267879
470.0424860.29440.384878
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.147728 & -1.0235 & 0.155603 \tabularnewline
2 & -0.069429 & -0.481 & 0.316344 \tabularnewline
3 & 0.222276 & 1.54 & 0.065067 \tabularnewline
4 & -0.154823 & -1.0726 & 0.144396 \tabularnewline
5 & -0.108006 & -0.7483 & 0.228969 \tabularnewline
6 & 0.086445 & 0.5989 & 0.276026 \tabularnewline
7 & 0.025963 & 0.1799 & 0.429003 \tabularnewline
8 & 0.060304 & 0.4178 & 0.338978 \tabularnewline
9 & -0.183297 & -1.2699 & 0.105118 \tabularnewline
10 & -0.038546 & -0.2671 & 0.395284 \tabularnewline
11 & 0.055214 & 0.3825 & 0.351876 \tabularnewline
12 & -0.274053 & -1.8987 & 0.031813 \tabularnewline
13 & -0.218738 & -1.5155 & 0.068107 \tabularnewline
14 & -0.124549 & -0.8629 & 0.196242 \tabularnewline
15 & 0.057749 & 0.4001 & 0.345431 \tabularnewline
16 & -0.185269 & -1.2836 & 0.102725 \tabularnewline
17 & 0.092655 & 0.6419 & 0.261986 \tabularnewline
18 & -0.053903 & -0.3734 & 0.355229 \tabularnewline
19 & -0.154097 & -1.0676 & 0.145517 \tabularnewline
20 & -0.096239 & -0.6668 & 0.254058 \tabularnewline
21 & 0.178821 & 1.2389 & 0.110701 \tabularnewline
22 & -0.149164 & -1.0334 & 0.153288 \tabularnewline
23 & 0.064094 & 0.4441 & 0.329498 \tabularnewline
24 & -0.096042 & -0.6654 & 0.254491 \tabularnewline
25 & 0.011704 & 0.0811 & 0.467853 \tabularnewline
26 & 0.034982 & 0.2424 & 0.404765 \tabularnewline
27 & 0.007418 & 0.0514 & 0.479613 \tabularnewline
28 & 0.010383 & 0.0719 & 0.471475 \tabularnewline
29 & 0.078723 & 0.5454 & 0.293999 \tabularnewline
30 & -0.008916 & -0.0618 & 0.475499 \tabularnewline
31 & -0.023757 & -0.1646 & 0.434977 \tabularnewline
32 & -0.043206 & -0.2993 & 0.382987 \tabularnewline
33 & -0.003612 & -0.025 & 0.490068 \tabularnewline
34 & -0.037465 & -0.2596 & 0.398154 \tabularnewline
35 & 0.001091 & 0.0076 & 0.496999 \tabularnewline
36 & -0.008371 & -0.058 & 0.476995 \tabularnewline
37 & -0.004335 & -0.03 & 0.488083 \tabularnewline
38 & -0.077373 & -0.5361 & 0.297198 \tabularnewline
39 & 0.137504 & 0.9527 & 0.172768 \tabularnewline
40 & 0.092665 & 0.642 & 0.261964 \tabularnewline
41 & 0.052813 & 0.3659 & 0.358023 \tabularnewline
42 & -0.080327 & -0.5565 & 0.290219 \tabularnewline
43 & 0.099292 & 0.6879 & 0.24741 \tabularnewline
44 & -0.036787 & -0.2549 & 0.399957 \tabularnewline
45 & 0.022179 & 0.1537 & 0.439261 \tabularnewline
46 & -0.090027 & -0.6237 & 0.267879 \tabularnewline
47 & 0.042486 & 0.2944 & 0.384878 \tabularnewline
48 & NA & NA & NA \tabularnewline
49 & NA & NA & NA \tabularnewline
50 & NA & NA & NA \tabularnewline
51 & NA & NA & NA \tabularnewline
52 & NA & NA & NA \tabularnewline
53 & NA & NA & NA \tabularnewline
54 & NA & NA & NA \tabularnewline
55 & NA & NA & NA \tabularnewline
56 & NA & NA & NA \tabularnewline
57 & NA & NA & NA \tabularnewline
58 & NA & NA & NA \tabularnewline
59 & NA & NA & NA \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35690&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]-0.147728[/C][C]-1.0235[/C][C]0.155603[/C][/ROW]
[ROW][C]2[/C][C]-0.069429[/C][C]-0.481[/C][C]0.316344[/C][/ROW]
[ROW][C]3[/C][C]0.222276[/C][C]1.54[/C][C]0.065067[/C][/ROW]
[ROW][C]4[/C][C]-0.154823[/C][C]-1.0726[/C][C]0.144396[/C][/ROW]
[ROW][C]5[/C][C]-0.108006[/C][C]-0.7483[/C][C]0.228969[/C][/ROW]
[ROW][C]6[/C][C]0.086445[/C][C]0.5989[/C][C]0.276026[/C][/ROW]
[ROW][C]7[/C][C]0.025963[/C][C]0.1799[/C][C]0.429003[/C][/ROW]
[ROW][C]8[/C][C]0.060304[/C][C]0.4178[/C][C]0.338978[/C][/ROW]
[ROW][C]9[/C][C]-0.183297[/C][C]-1.2699[/C][C]0.105118[/C][/ROW]
[ROW][C]10[/C][C]-0.038546[/C][C]-0.2671[/C][C]0.395284[/C][/ROW]
[ROW][C]11[/C][C]0.055214[/C][C]0.3825[/C][C]0.351876[/C][/ROW]
[ROW][C]12[/C][C]-0.274053[/C][C]-1.8987[/C][C]0.031813[/C][/ROW]
[ROW][C]13[/C][C]-0.218738[/C][C]-1.5155[/C][C]0.068107[/C][/ROW]
[ROW][C]14[/C][C]-0.124549[/C][C]-0.8629[/C][C]0.196242[/C][/ROW]
[ROW][C]15[/C][C]0.057749[/C][C]0.4001[/C][C]0.345431[/C][/ROW]
[ROW][C]16[/C][C]-0.185269[/C][C]-1.2836[/C][C]0.102725[/C][/ROW]
[ROW][C]17[/C][C]0.092655[/C][C]0.6419[/C][C]0.261986[/C][/ROW]
[ROW][C]18[/C][C]-0.053903[/C][C]-0.3734[/C][C]0.355229[/C][/ROW]
[ROW][C]19[/C][C]-0.154097[/C][C]-1.0676[/C][C]0.145517[/C][/ROW]
[ROW][C]20[/C][C]-0.096239[/C][C]-0.6668[/C][C]0.254058[/C][/ROW]
[ROW][C]21[/C][C]0.178821[/C][C]1.2389[/C][C]0.110701[/C][/ROW]
[ROW][C]22[/C][C]-0.149164[/C][C]-1.0334[/C][C]0.153288[/C][/ROW]
[ROW][C]23[/C][C]0.064094[/C][C]0.4441[/C][C]0.329498[/C][/ROW]
[ROW][C]24[/C][C]-0.096042[/C][C]-0.6654[/C][C]0.254491[/C][/ROW]
[ROW][C]25[/C][C]0.011704[/C][C]0.0811[/C][C]0.467853[/C][/ROW]
[ROW][C]26[/C][C]0.034982[/C][C]0.2424[/C][C]0.404765[/C][/ROW]
[ROW][C]27[/C][C]0.007418[/C][C]0.0514[/C][C]0.479613[/C][/ROW]
[ROW][C]28[/C][C]0.010383[/C][C]0.0719[/C][C]0.471475[/C][/ROW]
[ROW][C]29[/C][C]0.078723[/C][C]0.5454[/C][C]0.293999[/C][/ROW]
[ROW][C]30[/C][C]-0.008916[/C][C]-0.0618[/C][C]0.475499[/C][/ROW]
[ROW][C]31[/C][C]-0.023757[/C][C]-0.1646[/C][C]0.434977[/C][/ROW]
[ROW][C]32[/C][C]-0.043206[/C][C]-0.2993[/C][C]0.382987[/C][/ROW]
[ROW][C]33[/C][C]-0.003612[/C][C]-0.025[/C][C]0.490068[/C][/ROW]
[ROW][C]34[/C][C]-0.037465[/C][C]-0.2596[/C][C]0.398154[/C][/ROW]
[ROW][C]35[/C][C]0.001091[/C][C]0.0076[/C][C]0.496999[/C][/ROW]
[ROW][C]36[/C][C]-0.008371[/C][C]-0.058[/C][C]0.476995[/C][/ROW]
[ROW][C]37[/C][C]-0.004335[/C][C]-0.03[/C][C]0.488083[/C][/ROW]
[ROW][C]38[/C][C]-0.077373[/C][C]-0.5361[/C][C]0.297198[/C][/ROW]
[ROW][C]39[/C][C]0.137504[/C][C]0.9527[/C][C]0.172768[/C][/ROW]
[ROW][C]40[/C][C]0.092665[/C][C]0.642[/C][C]0.261964[/C][/ROW]
[ROW][C]41[/C][C]0.052813[/C][C]0.3659[/C][C]0.358023[/C][/ROW]
[ROW][C]42[/C][C]-0.080327[/C][C]-0.5565[/C][C]0.290219[/C][/ROW]
[ROW][C]43[/C][C]0.099292[/C][C]0.6879[/C][C]0.24741[/C][/ROW]
[ROW][C]44[/C][C]-0.036787[/C][C]-0.2549[/C][C]0.399957[/C][/ROW]
[ROW][C]45[/C][C]0.022179[/C][C]0.1537[/C][C]0.439261[/C][/ROW]
[ROW][C]46[/C][C]-0.090027[/C][C]-0.6237[/C][C]0.267879[/C][/ROW]
[ROW][C]47[/C][C]0.042486[/C][C]0.2944[/C][C]0.384878[/C][/ROW]
[ROW][C]48[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]49[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]50[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]51[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]52[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]53[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]54[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]55[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]56[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]57[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]58[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]60[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35690&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35690&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
1-0.147728-1.02350.155603
2-0.069429-0.4810.316344
30.2222761.540.065067
4-0.154823-1.07260.144396
5-0.108006-0.74830.228969
60.0864450.59890.276026
70.0259630.17990.429003
80.0603040.41780.338978
9-0.183297-1.26990.105118
10-0.038546-0.26710.395284
110.0552140.38250.351876
12-0.274053-1.89870.031813
13-0.218738-1.51550.068107
14-0.124549-0.86290.196242
150.0577490.40010.345431
16-0.185269-1.28360.102725
170.0926550.64190.261986
18-0.053903-0.37340.355229
19-0.154097-1.06760.145517
20-0.096239-0.66680.254058
210.1788211.23890.110701
22-0.149164-1.03340.153288
230.0640940.44410.329498
24-0.096042-0.66540.254491
250.0117040.08110.467853
260.0349820.24240.404765
270.0074180.05140.479613
280.0103830.07190.471475
290.0787230.54540.293999
30-0.008916-0.06180.475499
31-0.023757-0.16460.434977
32-0.043206-0.29930.382987
33-0.003612-0.0250.490068
34-0.037465-0.25960.398154
350.0010910.00760.496999
36-0.008371-0.0580.476995
37-0.004335-0.030.488083
38-0.077373-0.53610.297198
390.1375040.95270.172768
400.0926650.6420.261964
410.0528130.36590.358023
42-0.080327-0.55650.290219
430.0992920.68790.24741
44-0.036787-0.25490.399957
450.0221790.15370.439261
46-0.090027-0.62370.267879
470.0424860.29440.384878
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 1 ; 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')