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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationWed, 20 Nov 2013 13:35:45 -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/Nov/20/t1384972574qi3ern84li0c1e8.htm/, Retrieved Wed, 01 May 2024 20:30:16 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=226707, Retrieved Wed, 01 May 2024 20:30:16 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact81
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [] [2013-11-20 18:35:45] [3e2b14d12dd0cca2f2b67dfbdf2cdaf9] [Current]
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Dataseries X:
125326
122716
116615
113719
110737
112093
143565
149946
149147
134339
122683
115614
116566
111272
104609
101802
94542
93051
124129
130374
123946
114971
105531
104919
104782
101281
94545
93248
84031
87486
115867
120327
117008
108811
104519
106758
109337
109078
108293
106534
99197
103493
130676
137448
134704
123725
118277
121225
120528
118240
112514
107304
100001
102082
130455
135574
132540
119920
112454
109415
109843
106365
102304
97968
92462
92286
120092
126656
124144
114045
108120
105698
111203
110030
104009
99772
96301
97680
121563
134210
133111
124527
117589
115699




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.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 & 3 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=226707&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=226707&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=226707&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 time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.3238432.95040.002062
2-0.213369-1.94390.027649
3-0.395644-3.60450.000266
4-0.286149-2.60690.005414
5-0.001284-0.01170.495348
60.1882131.71470.045066
70.0332450.30290.381373
8-0.22577-2.05690.02142
9-0.34077-3.10460.001303
10-0.215518-1.96350.026471
110.2532972.30760.011754
120.8162037.4360
130.2682662.4440.008322
14-0.200061-1.82260.035979
15-0.327135-2.98030.001888
16-0.236655-2.1560.016988
170.0173840.15840.437274
180.1353981.23350.110429
190.0274360.24990.401622
20-0.196296-1.78830.038685
21-0.298631-2.72070.003968
22-0.190894-1.73910.04286
230.2075691.8910.031054
240.6578215.9930
250.2275192.07280.020647
26-0.157003-1.43040.078183
27-0.286046-2.6060.005428
28-0.197662-1.80080.037685
290.0139280.12690.449668
300.1154861.05210.147897
310.0384910.35070.363362
32-0.145396-1.32460.094466
33-0.234249-2.13410.017892
34-0.143647-1.30870.097127
350.1680841.53130.064747
360.5303014.83133e-06
370.2001241.82320.035935
38-0.112839-1.0280.153465
39-0.215888-1.96680.026272
40-0.151307-1.37850.085881
410.009340.08510.466195
420.0951610.8670.194232
430.0184610.16820.433424
44-0.128365-1.16950.122783
45-0.179751-1.63760.052644
46-0.098041-0.89320.187167
470.1217141.10890.135346
480.415533.78570.000144
490.1609131.4660.073215
50-0.072355-0.65920.255799
51-0.166258-1.51470.066826
52-0.131288-1.19610.117533
53-0.026211-0.23880.405927
540.0689650.62830.265765
550.002510.02290.490906
56-0.090884-0.8280.205025
57-0.125194-1.14060.128664
58-0.060426-0.55050.291726
590.077820.7090.240165
600.2788532.54050.006466

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.323843 & 2.9504 & 0.002062 \tabularnewline
2 & -0.213369 & -1.9439 & 0.027649 \tabularnewline
3 & -0.395644 & -3.6045 & 0.000266 \tabularnewline
4 & -0.286149 & -2.6069 & 0.005414 \tabularnewline
5 & -0.001284 & -0.0117 & 0.495348 \tabularnewline
6 & 0.188213 & 1.7147 & 0.045066 \tabularnewline
7 & 0.033245 & 0.3029 & 0.381373 \tabularnewline
8 & -0.22577 & -2.0569 & 0.02142 \tabularnewline
9 & -0.34077 & -3.1046 & 0.001303 \tabularnewline
10 & -0.215518 & -1.9635 & 0.026471 \tabularnewline
11 & 0.253297 & 2.3076 & 0.011754 \tabularnewline
12 & 0.816203 & 7.436 & 0 \tabularnewline
13 & 0.268266 & 2.444 & 0.008322 \tabularnewline
14 & -0.200061 & -1.8226 & 0.035979 \tabularnewline
15 & -0.327135 & -2.9803 & 0.001888 \tabularnewline
16 & -0.236655 & -2.156 & 0.016988 \tabularnewline
17 & 0.017384 & 0.1584 & 0.437274 \tabularnewline
18 & 0.135398 & 1.2335 & 0.110429 \tabularnewline
19 & 0.027436 & 0.2499 & 0.401622 \tabularnewline
20 & -0.196296 & -1.7883 & 0.038685 \tabularnewline
21 & -0.298631 & -2.7207 & 0.003968 \tabularnewline
22 & -0.190894 & -1.7391 & 0.04286 \tabularnewline
23 & 0.207569 & 1.891 & 0.031054 \tabularnewline
24 & 0.657821 & 5.993 & 0 \tabularnewline
25 & 0.227519 & 2.0728 & 0.020647 \tabularnewline
26 & -0.157003 & -1.4304 & 0.078183 \tabularnewline
27 & -0.286046 & -2.606 & 0.005428 \tabularnewline
28 & -0.197662 & -1.8008 & 0.037685 \tabularnewline
29 & 0.013928 & 0.1269 & 0.449668 \tabularnewline
30 & 0.115486 & 1.0521 & 0.147897 \tabularnewline
31 & 0.038491 & 0.3507 & 0.363362 \tabularnewline
32 & -0.145396 & -1.3246 & 0.094466 \tabularnewline
33 & -0.234249 & -2.1341 & 0.017892 \tabularnewline
34 & -0.143647 & -1.3087 & 0.097127 \tabularnewline
35 & 0.168084 & 1.5313 & 0.064747 \tabularnewline
36 & 0.530301 & 4.8313 & 3e-06 \tabularnewline
37 & 0.200124 & 1.8232 & 0.035935 \tabularnewline
38 & -0.112839 & -1.028 & 0.153465 \tabularnewline
39 & -0.215888 & -1.9668 & 0.026272 \tabularnewline
40 & -0.151307 & -1.3785 & 0.085881 \tabularnewline
41 & 0.00934 & 0.0851 & 0.466195 \tabularnewline
42 & 0.095161 & 0.867 & 0.194232 \tabularnewline
43 & 0.018461 & 0.1682 & 0.433424 \tabularnewline
44 & -0.128365 & -1.1695 & 0.122783 \tabularnewline
45 & -0.179751 & -1.6376 & 0.052644 \tabularnewline
46 & -0.098041 & -0.8932 & 0.187167 \tabularnewline
47 & 0.121714 & 1.1089 & 0.135346 \tabularnewline
48 & 0.41553 & 3.7857 & 0.000144 \tabularnewline
49 & 0.160913 & 1.466 & 0.073215 \tabularnewline
50 & -0.072355 & -0.6592 & 0.255799 \tabularnewline
51 & -0.166258 & -1.5147 & 0.066826 \tabularnewline
52 & -0.131288 & -1.1961 & 0.117533 \tabularnewline
53 & -0.026211 & -0.2388 & 0.405927 \tabularnewline
54 & 0.068965 & 0.6283 & 0.265765 \tabularnewline
55 & 0.00251 & 0.0229 & 0.490906 \tabularnewline
56 & -0.090884 & -0.828 & 0.205025 \tabularnewline
57 & -0.125194 & -1.1406 & 0.128664 \tabularnewline
58 & -0.060426 & -0.5505 & 0.291726 \tabularnewline
59 & 0.07782 & 0.709 & 0.240165 \tabularnewline
60 & 0.278853 & 2.5405 & 0.006466 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=226707&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]0.323843[/C][C]2.9504[/C][C]0.002062[/C][/ROW]
[ROW][C]2[/C][C]-0.213369[/C][C]-1.9439[/C][C]0.027649[/C][/ROW]
[ROW][C]3[/C][C]-0.395644[/C][C]-3.6045[/C][C]0.000266[/C][/ROW]
[ROW][C]4[/C][C]-0.286149[/C][C]-2.6069[/C][C]0.005414[/C][/ROW]
[ROW][C]5[/C][C]-0.001284[/C][C]-0.0117[/C][C]0.495348[/C][/ROW]
[ROW][C]6[/C][C]0.188213[/C][C]1.7147[/C][C]0.045066[/C][/ROW]
[ROW][C]7[/C][C]0.033245[/C][C]0.3029[/C][C]0.381373[/C][/ROW]
[ROW][C]8[/C][C]-0.22577[/C][C]-2.0569[/C][C]0.02142[/C][/ROW]
[ROW][C]9[/C][C]-0.34077[/C][C]-3.1046[/C][C]0.001303[/C][/ROW]
[ROW][C]10[/C][C]-0.215518[/C][C]-1.9635[/C][C]0.026471[/C][/ROW]
[ROW][C]11[/C][C]0.253297[/C][C]2.3076[/C][C]0.011754[/C][/ROW]
[ROW][C]12[/C][C]0.816203[/C][C]7.436[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.268266[/C][C]2.444[/C][C]0.008322[/C][/ROW]
[ROW][C]14[/C][C]-0.200061[/C][C]-1.8226[/C][C]0.035979[/C][/ROW]
[ROW][C]15[/C][C]-0.327135[/C][C]-2.9803[/C][C]0.001888[/C][/ROW]
[ROW][C]16[/C][C]-0.236655[/C][C]-2.156[/C][C]0.016988[/C][/ROW]
[ROW][C]17[/C][C]0.017384[/C][C]0.1584[/C][C]0.437274[/C][/ROW]
[ROW][C]18[/C][C]0.135398[/C][C]1.2335[/C][C]0.110429[/C][/ROW]
[ROW][C]19[/C][C]0.027436[/C][C]0.2499[/C][C]0.401622[/C][/ROW]
[ROW][C]20[/C][C]-0.196296[/C][C]-1.7883[/C][C]0.038685[/C][/ROW]
[ROW][C]21[/C][C]-0.298631[/C][C]-2.7207[/C][C]0.003968[/C][/ROW]
[ROW][C]22[/C][C]-0.190894[/C][C]-1.7391[/C][C]0.04286[/C][/ROW]
[ROW][C]23[/C][C]0.207569[/C][C]1.891[/C][C]0.031054[/C][/ROW]
[ROW][C]24[/C][C]0.657821[/C][C]5.993[/C][C]0[/C][/ROW]
[ROW][C]25[/C][C]0.227519[/C][C]2.0728[/C][C]0.020647[/C][/ROW]
[ROW][C]26[/C][C]-0.157003[/C][C]-1.4304[/C][C]0.078183[/C][/ROW]
[ROW][C]27[/C][C]-0.286046[/C][C]-2.606[/C][C]0.005428[/C][/ROW]
[ROW][C]28[/C][C]-0.197662[/C][C]-1.8008[/C][C]0.037685[/C][/ROW]
[ROW][C]29[/C][C]0.013928[/C][C]0.1269[/C][C]0.449668[/C][/ROW]
[ROW][C]30[/C][C]0.115486[/C][C]1.0521[/C][C]0.147897[/C][/ROW]
[ROW][C]31[/C][C]0.038491[/C][C]0.3507[/C][C]0.363362[/C][/ROW]
[ROW][C]32[/C][C]-0.145396[/C][C]-1.3246[/C][C]0.094466[/C][/ROW]
[ROW][C]33[/C][C]-0.234249[/C][C]-2.1341[/C][C]0.017892[/C][/ROW]
[ROW][C]34[/C][C]-0.143647[/C][C]-1.3087[/C][C]0.097127[/C][/ROW]
[ROW][C]35[/C][C]0.168084[/C][C]1.5313[/C][C]0.064747[/C][/ROW]
[ROW][C]36[/C][C]0.530301[/C][C]4.8313[/C][C]3e-06[/C][/ROW]
[ROW][C]37[/C][C]0.200124[/C][C]1.8232[/C][C]0.035935[/C][/ROW]
[ROW][C]38[/C][C]-0.112839[/C][C]-1.028[/C][C]0.153465[/C][/ROW]
[ROW][C]39[/C][C]-0.215888[/C][C]-1.9668[/C][C]0.026272[/C][/ROW]
[ROW][C]40[/C][C]-0.151307[/C][C]-1.3785[/C][C]0.085881[/C][/ROW]
[ROW][C]41[/C][C]0.00934[/C][C]0.0851[/C][C]0.466195[/C][/ROW]
[ROW][C]42[/C][C]0.095161[/C][C]0.867[/C][C]0.194232[/C][/ROW]
[ROW][C]43[/C][C]0.018461[/C][C]0.1682[/C][C]0.433424[/C][/ROW]
[ROW][C]44[/C][C]-0.128365[/C][C]-1.1695[/C][C]0.122783[/C][/ROW]
[ROW][C]45[/C][C]-0.179751[/C][C]-1.6376[/C][C]0.052644[/C][/ROW]
[ROW][C]46[/C][C]-0.098041[/C][C]-0.8932[/C][C]0.187167[/C][/ROW]
[ROW][C]47[/C][C]0.121714[/C][C]1.1089[/C][C]0.135346[/C][/ROW]
[ROW][C]48[/C][C]0.41553[/C][C]3.7857[/C][C]0.000144[/C][/ROW]
[ROW][C]49[/C][C]0.160913[/C][C]1.466[/C][C]0.073215[/C][/ROW]
[ROW][C]50[/C][C]-0.072355[/C][C]-0.6592[/C][C]0.255799[/C][/ROW]
[ROW][C]51[/C][C]-0.166258[/C][C]-1.5147[/C][C]0.066826[/C][/ROW]
[ROW][C]52[/C][C]-0.131288[/C][C]-1.1961[/C][C]0.117533[/C][/ROW]
[ROW][C]53[/C][C]-0.026211[/C][C]-0.2388[/C][C]0.405927[/C][/ROW]
[ROW][C]54[/C][C]0.068965[/C][C]0.6283[/C][C]0.265765[/C][/ROW]
[ROW][C]55[/C][C]0.00251[/C][C]0.0229[/C][C]0.490906[/C][/ROW]
[ROW][C]56[/C][C]-0.090884[/C][C]-0.828[/C][C]0.205025[/C][/ROW]
[ROW][C]57[/C][C]-0.125194[/C][C]-1.1406[/C][C]0.128664[/C][/ROW]
[ROW][C]58[/C][C]-0.060426[/C][C]-0.5505[/C][C]0.291726[/C][/ROW]
[ROW][C]59[/C][C]0.07782[/C][C]0.709[/C][C]0.240165[/C][/ROW]
[ROW][C]60[/C][C]0.278853[/C][C]2.5405[/C][C]0.006466[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=226707&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=226707&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
10.3238432.95040.002062
2-0.213369-1.94390.027649
3-0.395644-3.60450.000266
4-0.286149-2.60690.005414
5-0.001284-0.01170.495348
60.1882131.71470.045066
70.0332450.30290.381373
8-0.22577-2.05690.02142
9-0.34077-3.10460.001303
10-0.215518-1.96350.026471
110.2532972.30760.011754
120.8162037.4360
130.2682662.4440.008322
14-0.200061-1.82260.035979
15-0.327135-2.98030.001888
16-0.236655-2.1560.016988
170.0173840.15840.437274
180.1353981.23350.110429
190.0274360.24990.401622
20-0.196296-1.78830.038685
21-0.298631-2.72070.003968
22-0.190894-1.73910.04286
230.2075691.8910.031054
240.6578215.9930
250.2275192.07280.020647
26-0.157003-1.43040.078183
27-0.286046-2.6060.005428
28-0.197662-1.80080.037685
290.0139280.12690.449668
300.1154861.05210.147897
310.0384910.35070.363362
32-0.145396-1.32460.094466
33-0.234249-2.13410.017892
34-0.143647-1.30870.097127
350.1680841.53130.064747
360.5303014.83133e-06
370.2001241.82320.035935
38-0.112839-1.0280.153465
39-0.215888-1.96680.026272
40-0.151307-1.37850.085881
410.009340.08510.466195
420.0951610.8670.194232
430.0184610.16820.433424
44-0.128365-1.16950.122783
45-0.179751-1.63760.052644
46-0.098041-0.89320.187167
470.1217141.10890.135346
480.415533.78570.000144
490.1609131.4660.073215
50-0.072355-0.65920.255799
51-0.166258-1.51470.066826
52-0.131288-1.19610.117533
53-0.026211-0.23880.405927
540.0689650.62830.265765
550.002510.02290.490906
56-0.090884-0.8280.205025
57-0.125194-1.14060.128664
58-0.060426-0.55050.291726
590.077820.7090.240165
600.2788532.54050.006466







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.3238432.95040.002062
2-0.355529-3.2390.000863
3-0.238938-2.17680.016167
4-0.165704-1.50960.067467
5-0.016326-0.14870.441061
60.0027630.02520.489988
7-0.204195-1.86030.033192
8-0.272361-2.48130.007554
9-0.331911-3.02390.00166
10-0.372116-3.39010.000536
11-0.041188-0.37520.35422
120.6403315.83370
13-0.347289-3.1640.001088
140.0141480.12890.448878
150.2010271.83140.035311
160.0207320.18890.425325
170.002830.02580.489748
18-0.188073-1.71340.045183
190.0727410.66270.254678
20-0.050995-0.46460.321722
21-0.121596-1.10780.135576
22-0.002243-0.02040.491873
23-0.097643-0.88960.188134
24-0.096539-0.87950.190831
25-0.016109-0.14680.44184
260.0184020.16770.433633
27-0.201507-1.83580.034983
28-0.049182-0.44810.327635
29-0.090129-0.82110.206967
300.0211660.19280.42378
31-0.118968-1.08380.140785
32-0.084737-0.7720.221155
330.0840930.76610.222887
34-0.043608-0.39730.346087
35-0.063111-0.5750.283434
360.0114370.10420.458634
370.0344860.31420.377087
38-0.015322-0.13960.444662
390.0959180.87390.19236
400.0166870.1520.439768
410.0070060.06380.474632
420.0704380.64170.261411
43-0.065118-0.59320.277314
440.0776080.7070.24076
45-0.016472-0.15010.440538
460.0240220.21890.41365
47-0.060298-0.54930.292124
48-0.011222-0.10220.459407
490.0056770.05170.479437
500.0453570.41320.340256
51-0.082574-0.75230.227005
52-0.051103-0.46560.32137
53-0.034329-0.31280.377626
54-0.019148-0.17450.430968
55-0.003085-0.02810.488824
560.0087950.08010.468164
57-0.028048-0.25550.399473
580.0444940.40540.343128
590.0191430.17440.430988
60-0.114114-1.03960.150766

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.323843 & 2.9504 & 0.002062 \tabularnewline
2 & -0.355529 & -3.239 & 0.000863 \tabularnewline
3 & -0.238938 & -2.1768 & 0.016167 \tabularnewline
4 & -0.165704 & -1.5096 & 0.067467 \tabularnewline
5 & -0.016326 & -0.1487 & 0.441061 \tabularnewline
6 & 0.002763 & 0.0252 & 0.489988 \tabularnewline
7 & -0.204195 & -1.8603 & 0.033192 \tabularnewline
8 & -0.272361 & -2.4813 & 0.007554 \tabularnewline
9 & -0.331911 & -3.0239 & 0.00166 \tabularnewline
10 & -0.372116 & -3.3901 & 0.000536 \tabularnewline
11 & -0.041188 & -0.3752 & 0.35422 \tabularnewline
12 & 0.640331 & 5.8337 & 0 \tabularnewline
13 & -0.347289 & -3.164 & 0.001088 \tabularnewline
14 & 0.014148 & 0.1289 & 0.448878 \tabularnewline
15 & 0.201027 & 1.8314 & 0.035311 \tabularnewline
16 & 0.020732 & 0.1889 & 0.425325 \tabularnewline
17 & 0.00283 & 0.0258 & 0.489748 \tabularnewline
18 & -0.188073 & -1.7134 & 0.045183 \tabularnewline
19 & 0.072741 & 0.6627 & 0.254678 \tabularnewline
20 & -0.050995 & -0.4646 & 0.321722 \tabularnewline
21 & -0.121596 & -1.1078 & 0.135576 \tabularnewline
22 & -0.002243 & -0.0204 & 0.491873 \tabularnewline
23 & -0.097643 & -0.8896 & 0.188134 \tabularnewline
24 & -0.096539 & -0.8795 & 0.190831 \tabularnewline
25 & -0.016109 & -0.1468 & 0.44184 \tabularnewline
26 & 0.018402 & 0.1677 & 0.433633 \tabularnewline
27 & -0.201507 & -1.8358 & 0.034983 \tabularnewline
28 & -0.049182 & -0.4481 & 0.327635 \tabularnewline
29 & -0.090129 & -0.8211 & 0.206967 \tabularnewline
30 & 0.021166 & 0.1928 & 0.42378 \tabularnewline
31 & -0.118968 & -1.0838 & 0.140785 \tabularnewline
32 & -0.084737 & -0.772 & 0.221155 \tabularnewline
33 & 0.084093 & 0.7661 & 0.222887 \tabularnewline
34 & -0.043608 & -0.3973 & 0.346087 \tabularnewline
35 & -0.063111 & -0.575 & 0.283434 \tabularnewline
36 & 0.011437 & 0.1042 & 0.458634 \tabularnewline
37 & 0.034486 & 0.3142 & 0.377087 \tabularnewline
38 & -0.015322 & -0.1396 & 0.444662 \tabularnewline
39 & 0.095918 & 0.8739 & 0.19236 \tabularnewline
40 & 0.016687 & 0.152 & 0.439768 \tabularnewline
41 & 0.007006 & 0.0638 & 0.474632 \tabularnewline
42 & 0.070438 & 0.6417 & 0.261411 \tabularnewline
43 & -0.065118 & -0.5932 & 0.277314 \tabularnewline
44 & 0.077608 & 0.707 & 0.24076 \tabularnewline
45 & -0.016472 & -0.1501 & 0.440538 \tabularnewline
46 & 0.024022 & 0.2189 & 0.41365 \tabularnewline
47 & -0.060298 & -0.5493 & 0.292124 \tabularnewline
48 & -0.011222 & -0.1022 & 0.459407 \tabularnewline
49 & 0.005677 & 0.0517 & 0.479437 \tabularnewline
50 & 0.045357 & 0.4132 & 0.340256 \tabularnewline
51 & -0.082574 & -0.7523 & 0.227005 \tabularnewline
52 & -0.051103 & -0.4656 & 0.32137 \tabularnewline
53 & -0.034329 & -0.3128 & 0.377626 \tabularnewline
54 & -0.019148 & -0.1745 & 0.430968 \tabularnewline
55 & -0.003085 & -0.0281 & 0.488824 \tabularnewline
56 & 0.008795 & 0.0801 & 0.468164 \tabularnewline
57 & -0.028048 & -0.2555 & 0.399473 \tabularnewline
58 & 0.044494 & 0.4054 & 0.343128 \tabularnewline
59 & 0.019143 & 0.1744 & 0.430988 \tabularnewline
60 & -0.114114 & -1.0396 & 0.150766 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=226707&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]0.323843[/C][C]2.9504[/C][C]0.002062[/C][/ROW]
[ROW][C]2[/C][C]-0.355529[/C][C]-3.239[/C][C]0.000863[/C][/ROW]
[ROW][C]3[/C][C]-0.238938[/C][C]-2.1768[/C][C]0.016167[/C][/ROW]
[ROW][C]4[/C][C]-0.165704[/C][C]-1.5096[/C][C]0.067467[/C][/ROW]
[ROW][C]5[/C][C]-0.016326[/C][C]-0.1487[/C][C]0.441061[/C][/ROW]
[ROW][C]6[/C][C]0.002763[/C][C]0.0252[/C][C]0.489988[/C][/ROW]
[ROW][C]7[/C][C]-0.204195[/C][C]-1.8603[/C][C]0.033192[/C][/ROW]
[ROW][C]8[/C][C]-0.272361[/C][C]-2.4813[/C][C]0.007554[/C][/ROW]
[ROW][C]9[/C][C]-0.331911[/C][C]-3.0239[/C][C]0.00166[/C][/ROW]
[ROW][C]10[/C][C]-0.372116[/C][C]-3.3901[/C][C]0.000536[/C][/ROW]
[ROW][C]11[/C][C]-0.041188[/C][C]-0.3752[/C][C]0.35422[/C][/ROW]
[ROW][C]12[/C][C]0.640331[/C][C]5.8337[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]-0.347289[/C][C]-3.164[/C][C]0.001088[/C][/ROW]
[ROW][C]14[/C][C]0.014148[/C][C]0.1289[/C][C]0.448878[/C][/ROW]
[ROW][C]15[/C][C]0.201027[/C][C]1.8314[/C][C]0.035311[/C][/ROW]
[ROW][C]16[/C][C]0.020732[/C][C]0.1889[/C][C]0.425325[/C][/ROW]
[ROW][C]17[/C][C]0.00283[/C][C]0.0258[/C][C]0.489748[/C][/ROW]
[ROW][C]18[/C][C]-0.188073[/C][C]-1.7134[/C][C]0.045183[/C][/ROW]
[ROW][C]19[/C][C]0.072741[/C][C]0.6627[/C][C]0.254678[/C][/ROW]
[ROW][C]20[/C][C]-0.050995[/C][C]-0.4646[/C][C]0.321722[/C][/ROW]
[ROW][C]21[/C][C]-0.121596[/C][C]-1.1078[/C][C]0.135576[/C][/ROW]
[ROW][C]22[/C][C]-0.002243[/C][C]-0.0204[/C][C]0.491873[/C][/ROW]
[ROW][C]23[/C][C]-0.097643[/C][C]-0.8896[/C][C]0.188134[/C][/ROW]
[ROW][C]24[/C][C]-0.096539[/C][C]-0.8795[/C][C]0.190831[/C][/ROW]
[ROW][C]25[/C][C]-0.016109[/C][C]-0.1468[/C][C]0.44184[/C][/ROW]
[ROW][C]26[/C][C]0.018402[/C][C]0.1677[/C][C]0.433633[/C][/ROW]
[ROW][C]27[/C][C]-0.201507[/C][C]-1.8358[/C][C]0.034983[/C][/ROW]
[ROW][C]28[/C][C]-0.049182[/C][C]-0.4481[/C][C]0.327635[/C][/ROW]
[ROW][C]29[/C][C]-0.090129[/C][C]-0.8211[/C][C]0.206967[/C][/ROW]
[ROW][C]30[/C][C]0.021166[/C][C]0.1928[/C][C]0.42378[/C][/ROW]
[ROW][C]31[/C][C]-0.118968[/C][C]-1.0838[/C][C]0.140785[/C][/ROW]
[ROW][C]32[/C][C]-0.084737[/C][C]-0.772[/C][C]0.221155[/C][/ROW]
[ROW][C]33[/C][C]0.084093[/C][C]0.7661[/C][C]0.222887[/C][/ROW]
[ROW][C]34[/C][C]-0.043608[/C][C]-0.3973[/C][C]0.346087[/C][/ROW]
[ROW][C]35[/C][C]-0.063111[/C][C]-0.575[/C][C]0.283434[/C][/ROW]
[ROW][C]36[/C][C]0.011437[/C][C]0.1042[/C][C]0.458634[/C][/ROW]
[ROW][C]37[/C][C]0.034486[/C][C]0.3142[/C][C]0.377087[/C][/ROW]
[ROW][C]38[/C][C]-0.015322[/C][C]-0.1396[/C][C]0.444662[/C][/ROW]
[ROW][C]39[/C][C]0.095918[/C][C]0.8739[/C][C]0.19236[/C][/ROW]
[ROW][C]40[/C][C]0.016687[/C][C]0.152[/C][C]0.439768[/C][/ROW]
[ROW][C]41[/C][C]0.007006[/C][C]0.0638[/C][C]0.474632[/C][/ROW]
[ROW][C]42[/C][C]0.070438[/C][C]0.6417[/C][C]0.261411[/C][/ROW]
[ROW][C]43[/C][C]-0.065118[/C][C]-0.5932[/C][C]0.277314[/C][/ROW]
[ROW][C]44[/C][C]0.077608[/C][C]0.707[/C][C]0.24076[/C][/ROW]
[ROW][C]45[/C][C]-0.016472[/C][C]-0.1501[/C][C]0.440538[/C][/ROW]
[ROW][C]46[/C][C]0.024022[/C][C]0.2189[/C][C]0.41365[/C][/ROW]
[ROW][C]47[/C][C]-0.060298[/C][C]-0.5493[/C][C]0.292124[/C][/ROW]
[ROW][C]48[/C][C]-0.011222[/C][C]-0.1022[/C][C]0.459407[/C][/ROW]
[ROW][C]49[/C][C]0.005677[/C][C]0.0517[/C][C]0.479437[/C][/ROW]
[ROW][C]50[/C][C]0.045357[/C][C]0.4132[/C][C]0.340256[/C][/ROW]
[ROW][C]51[/C][C]-0.082574[/C][C]-0.7523[/C][C]0.227005[/C][/ROW]
[ROW][C]52[/C][C]-0.051103[/C][C]-0.4656[/C][C]0.32137[/C][/ROW]
[ROW][C]53[/C][C]-0.034329[/C][C]-0.3128[/C][C]0.377626[/C][/ROW]
[ROW][C]54[/C][C]-0.019148[/C][C]-0.1745[/C][C]0.430968[/C][/ROW]
[ROW][C]55[/C][C]-0.003085[/C][C]-0.0281[/C][C]0.488824[/C][/ROW]
[ROW][C]56[/C][C]0.008795[/C][C]0.0801[/C][C]0.468164[/C][/ROW]
[ROW][C]57[/C][C]-0.028048[/C][C]-0.2555[/C][C]0.399473[/C][/ROW]
[ROW][C]58[/C][C]0.044494[/C][C]0.4054[/C][C]0.343128[/C][/ROW]
[ROW][C]59[/C][C]0.019143[/C][C]0.1744[/C][C]0.430988[/C][/ROW]
[ROW][C]60[/C][C]-0.114114[/C][C]-1.0396[/C][C]0.150766[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=226707&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=226707&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
10.3238432.95040.002062
2-0.355529-3.2390.000863
3-0.238938-2.17680.016167
4-0.165704-1.50960.067467
5-0.016326-0.14870.441061
60.0027630.02520.489988
7-0.204195-1.86030.033192
8-0.272361-2.48130.007554
9-0.331911-3.02390.00166
10-0.372116-3.39010.000536
11-0.041188-0.37520.35422
120.6403315.83370
13-0.347289-3.1640.001088
140.0141480.12890.448878
150.2010271.83140.035311
160.0207320.18890.425325
170.002830.02580.489748
18-0.188073-1.71340.045183
190.0727410.66270.254678
20-0.050995-0.46460.321722
21-0.121596-1.10780.135576
22-0.002243-0.02040.491873
23-0.097643-0.88960.188134
24-0.096539-0.87950.190831
25-0.016109-0.14680.44184
260.0184020.16770.433633
27-0.201507-1.83580.034983
28-0.049182-0.44810.327635
29-0.090129-0.82110.206967
300.0211660.19280.42378
31-0.118968-1.08380.140785
32-0.084737-0.7720.221155
330.0840930.76610.222887
34-0.043608-0.39730.346087
35-0.063111-0.5750.283434
360.0114370.10420.458634
370.0344860.31420.377087
38-0.015322-0.13960.444662
390.0959180.87390.19236
400.0166870.1520.439768
410.0070060.06380.474632
420.0704380.64170.261411
43-0.065118-0.59320.277314
440.0776080.7070.24076
45-0.016472-0.15010.440538
460.0240220.21890.41365
47-0.060298-0.54930.292124
48-0.011222-0.10220.459407
490.0056770.05170.479437
500.0453570.41320.340256
51-0.082574-0.75230.227005
52-0.051103-0.46560.32137
53-0.034329-0.31280.377626
54-0.019148-0.17450.430968
55-0.003085-0.02810.488824
560.0087950.08010.468164
57-0.028048-0.25550.399473
580.0444940.40540.343128
590.0191430.17440.430988
60-0.114114-1.03960.150766



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ; par8 = ;
R code (references can be found in the software module):
par8 <- ''
par7 <- '0.95'
par6 <- 'White Noise'
par5 <- '12'
par4 <- '0'
par3 <- '1'
par2 <- '1'
par1 <- 'Default'
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')