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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 10:24:42 -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/t1229880355bsrkmip5scit1it.htm/, Retrieved Sat, 18 May 2024 11:31:32 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=35698, Retrieved Sat, 18 May 2024 11:31:32 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact152
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 nt duur ...] [2008-12-21 17:24:42] [fa8b44cd657c07c6ee11bb2476ca3f8d] [Current]
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Dataseries X:
95.9
95.3
100.4
97.3
82.3
97.0
93.5
90.9
107.8
110.9
98.1
106.5
93.4
95.7
109.0
97.6
92.7
107.5
91.7
95.7
111.4
106.0
104.8
108.7
97.3
97.1
106.1
98.6
98.5
105.5
86.2
98.3
111.3
105.0
105.7
103.5
96.9
98.1
111.7
94.7
104.2
109.7
91.3
102.6
114.2
115.8
113.5
107.1
104.5
101.9
116.0
102.0
108.1
112.9
104.5
109.1
113.4
123.9
117.7
108.3




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35698&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35698&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35698&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'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.0999610.69250.245965
20.0722010.50020.309601
30.4611873.19520.001235
40.0504860.34980.364019
50.1229870.85210.199201
60.266831.84870.035336
7-0.042277-0.29290.385429
80.1140570.79020.216646
90.2153071.49170.071162
10-0.11702-0.81070.210759
11-0.07406-0.51310.305117
12-0.01042-0.07220.471375
13-0.184174-1.2760.104049
140.0280870.19460.423266
15-0.204297-1.41540.081701
16-0.254918-1.76610.041867
17-0.023541-0.16310.435563
18-0.122307-0.84740.200498
19-0.317209-2.19770.016414
20-0.119493-0.82790.205921
21-0.080823-0.560.289056
22-0.187117-1.29640.10052
230.0083520.05790.477049
24-0.068842-0.47690.317781
25-0.201406-1.39540.084662
260.1127680.78130.219237
27-0.056761-0.39330.347937
28-0.098961-0.68560.248124
290.1025330.71040.240457
30-0.022811-0.1580.437543
310.021140.14650.442085
320.0708080.49060.312983
33-0.13295-0.92110.180801
34-0.004186-0.0290.488493
350.0975980.67620.251086
36-0.114894-0.7960.214973
370.0593770.41140.341313
380.1423760.98640.16444
39-0.087834-0.60850.272853
400.0465260.32230.374297
410.0624120.43240.333693
42-0.116822-0.80940.21115
430.0025580.01770.492966
440.0214290.14850.441299
45-0.045537-0.31550.376878
46-0.00163-0.01130.495518
470.0113090.07840.468936
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 & 0.099961 & 0.6925 & 0.245965 \tabularnewline
2 & 0.072201 & 0.5002 & 0.309601 \tabularnewline
3 & 0.461187 & 3.1952 & 0.001235 \tabularnewline
4 & 0.050486 & 0.3498 & 0.364019 \tabularnewline
5 & 0.122987 & 0.8521 & 0.199201 \tabularnewline
6 & 0.26683 & 1.8487 & 0.035336 \tabularnewline
7 & -0.042277 & -0.2929 & 0.385429 \tabularnewline
8 & 0.114057 & 0.7902 & 0.216646 \tabularnewline
9 & 0.215307 & 1.4917 & 0.071162 \tabularnewline
10 & -0.11702 & -0.8107 & 0.210759 \tabularnewline
11 & -0.07406 & -0.5131 & 0.305117 \tabularnewline
12 & -0.01042 & -0.0722 & 0.471375 \tabularnewline
13 & -0.184174 & -1.276 & 0.104049 \tabularnewline
14 & 0.028087 & 0.1946 & 0.423266 \tabularnewline
15 & -0.204297 & -1.4154 & 0.081701 \tabularnewline
16 & -0.254918 & -1.7661 & 0.041867 \tabularnewline
17 & -0.023541 & -0.1631 & 0.435563 \tabularnewline
18 & -0.122307 & -0.8474 & 0.200498 \tabularnewline
19 & -0.317209 & -2.1977 & 0.016414 \tabularnewline
20 & -0.119493 & -0.8279 & 0.205921 \tabularnewline
21 & -0.080823 & -0.56 & 0.289056 \tabularnewline
22 & -0.187117 & -1.2964 & 0.10052 \tabularnewline
23 & 0.008352 & 0.0579 & 0.477049 \tabularnewline
24 & -0.068842 & -0.4769 & 0.317781 \tabularnewline
25 & -0.201406 & -1.3954 & 0.084662 \tabularnewline
26 & 0.112768 & 0.7813 & 0.219237 \tabularnewline
27 & -0.056761 & -0.3933 & 0.347937 \tabularnewline
28 & -0.098961 & -0.6856 & 0.248124 \tabularnewline
29 & 0.102533 & 0.7104 & 0.240457 \tabularnewline
30 & -0.022811 & -0.158 & 0.437543 \tabularnewline
31 & 0.02114 & 0.1465 & 0.442085 \tabularnewline
32 & 0.070808 & 0.4906 & 0.312983 \tabularnewline
33 & -0.13295 & -0.9211 & 0.180801 \tabularnewline
34 & -0.004186 & -0.029 & 0.488493 \tabularnewline
35 & 0.097598 & 0.6762 & 0.251086 \tabularnewline
36 & -0.114894 & -0.796 & 0.214973 \tabularnewline
37 & 0.059377 & 0.4114 & 0.341313 \tabularnewline
38 & 0.142376 & 0.9864 & 0.16444 \tabularnewline
39 & -0.087834 & -0.6085 & 0.272853 \tabularnewline
40 & 0.046526 & 0.3223 & 0.374297 \tabularnewline
41 & 0.062412 & 0.4324 & 0.333693 \tabularnewline
42 & -0.116822 & -0.8094 & 0.21115 \tabularnewline
43 & 0.002558 & 0.0177 & 0.492966 \tabularnewline
44 & 0.021429 & 0.1485 & 0.441299 \tabularnewline
45 & -0.045537 & -0.3155 & 0.376878 \tabularnewline
46 & -0.00163 & -0.0113 & 0.495518 \tabularnewline
47 & 0.011309 & 0.0784 & 0.468936 \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=35698&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]0.099961[/C][C]0.6925[/C][C]0.245965[/C][/ROW]
[ROW][C]2[/C][C]0.072201[/C][C]0.5002[/C][C]0.309601[/C][/ROW]
[ROW][C]3[/C][C]0.461187[/C][C]3.1952[/C][C]0.001235[/C][/ROW]
[ROW][C]4[/C][C]0.050486[/C][C]0.3498[/C][C]0.364019[/C][/ROW]
[ROW][C]5[/C][C]0.122987[/C][C]0.8521[/C][C]0.199201[/C][/ROW]
[ROW][C]6[/C][C]0.26683[/C][C]1.8487[/C][C]0.035336[/C][/ROW]
[ROW][C]7[/C][C]-0.042277[/C][C]-0.2929[/C][C]0.385429[/C][/ROW]
[ROW][C]8[/C][C]0.114057[/C][C]0.7902[/C][C]0.216646[/C][/ROW]
[ROW][C]9[/C][C]0.215307[/C][C]1.4917[/C][C]0.071162[/C][/ROW]
[ROW][C]10[/C][C]-0.11702[/C][C]-0.8107[/C][C]0.210759[/C][/ROW]
[ROW][C]11[/C][C]-0.07406[/C][C]-0.5131[/C][C]0.305117[/C][/ROW]
[ROW][C]12[/C][C]-0.01042[/C][C]-0.0722[/C][C]0.471375[/C][/ROW]
[ROW][C]13[/C][C]-0.184174[/C][C]-1.276[/C][C]0.104049[/C][/ROW]
[ROW][C]14[/C][C]0.028087[/C][C]0.1946[/C][C]0.423266[/C][/ROW]
[ROW][C]15[/C][C]-0.204297[/C][C]-1.4154[/C][C]0.081701[/C][/ROW]
[ROW][C]16[/C][C]-0.254918[/C][C]-1.7661[/C][C]0.041867[/C][/ROW]
[ROW][C]17[/C][C]-0.023541[/C][C]-0.1631[/C][C]0.435563[/C][/ROW]
[ROW][C]18[/C][C]-0.122307[/C][C]-0.8474[/C][C]0.200498[/C][/ROW]
[ROW][C]19[/C][C]-0.317209[/C][C]-2.1977[/C][C]0.016414[/C][/ROW]
[ROW][C]20[/C][C]-0.119493[/C][C]-0.8279[/C][C]0.205921[/C][/ROW]
[ROW][C]21[/C][C]-0.080823[/C][C]-0.56[/C][C]0.289056[/C][/ROW]
[ROW][C]22[/C][C]-0.187117[/C][C]-1.2964[/C][C]0.10052[/C][/ROW]
[ROW][C]23[/C][C]0.008352[/C][C]0.0579[/C][C]0.477049[/C][/ROW]
[ROW][C]24[/C][C]-0.068842[/C][C]-0.4769[/C][C]0.317781[/C][/ROW]
[ROW][C]25[/C][C]-0.201406[/C][C]-1.3954[/C][C]0.084662[/C][/ROW]
[ROW][C]26[/C][C]0.112768[/C][C]0.7813[/C][C]0.219237[/C][/ROW]
[ROW][C]27[/C][C]-0.056761[/C][C]-0.3933[/C][C]0.347937[/C][/ROW]
[ROW][C]28[/C][C]-0.098961[/C][C]-0.6856[/C][C]0.248124[/C][/ROW]
[ROW][C]29[/C][C]0.102533[/C][C]0.7104[/C][C]0.240457[/C][/ROW]
[ROW][C]30[/C][C]-0.022811[/C][C]-0.158[/C][C]0.437543[/C][/ROW]
[ROW][C]31[/C][C]0.02114[/C][C]0.1465[/C][C]0.442085[/C][/ROW]
[ROW][C]32[/C][C]0.070808[/C][C]0.4906[/C][C]0.312983[/C][/ROW]
[ROW][C]33[/C][C]-0.13295[/C][C]-0.9211[/C][C]0.180801[/C][/ROW]
[ROW][C]34[/C][C]-0.004186[/C][C]-0.029[/C][C]0.488493[/C][/ROW]
[ROW][C]35[/C][C]0.097598[/C][C]0.6762[/C][C]0.251086[/C][/ROW]
[ROW][C]36[/C][C]-0.114894[/C][C]-0.796[/C][C]0.214973[/C][/ROW]
[ROW][C]37[/C][C]0.059377[/C][C]0.4114[/C][C]0.341313[/C][/ROW]
[ROW][C]38[/C][C]0.142376[/C][C]0.9864[/C][C]0.16444[/C][/ROW]
[ROW][C]39[/C][C]-0.087834[/C][C]-0.6085[/C][C]0.272853[/C][/ROW]
[ROW][C]40[/C][C]0.046526[/C][C]0.3223[/C][C]0.374297[/C][/ROW]
[ROW][C]41[/C][C]0.062412[/C][C]0.4324[/C][C]0.333693[/C][/ROW]
[ROW][C]42[/C][C]-0.116822[/C][C]-0.8094[/C][C]0.21115[/C][/ROW]
[ROW][C]43[/C][C]0.002558[/C][C]0.0177[/C][C]0.492966[/C][/ROW]
[ROW][C]44[/C][C]0.021429[/C][C]0.1485[/C][C]0.441299[/C][/ROW]
[ROW][C]45[/C][C]-0.045537[/C][C]-0.3155[/C][C]0.376878[/C][/ROW]
[ROW][C]46[/C][C]-0.00163[/C][C]-0.0113[/C][C]0.495518[/C][/ROW]
[ROW][C]47[/C][C]0.011309[/C][C]0.0784[/C][C]0.468936[/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=35698&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35698&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
10.0999610.69250.245965
20.0722010.50020.309601
30.4611873.19520.001235
40.0504860.34980.364019
50.1229870.85210.199201
60.266831.84870.035336
7-0.042277-0.29290.385429
80.1140570.79020.216646
90.2153071.49170.071162
10-0.11702-0.81070.210759
11-0.07406-0.51310.305117
12-0.01042-0.07220.471375
13-0.184174-1.2760.104049
140.0280870.19460.423266
15-0.204297-1.41540.081701
16-0.254918-1.76610.041867
17-0.023541-0.16310.435563
18-0.122307-0.84740.200498
19-0.317209-2.19770.016414
20-0.119493-0.82790.205921
21-0.080823-0.560.289056
22-0.187117-1.29640.10052
230.0083520.05790.477049
24-0.068842-0.47690.317781
25-0.201406-1.39540.084662
260.1127680.78130.219237
27-0.056761-0.39330.347937
28-0.098961-0.68560.248124
290.1025330.71040.240457
30-0.022811-0.1580.437543
310.021140.14650.442085
320.0708080.49060.312983
33-0.13295-0.92110.180801
34-0.004186-0.0290.488493
350.0975980.67620.251086
36-0.114894-0.7960.214973
370.0593770.41140.341313
380.1423760.98640.16444
39-0.087834-0.60850.272853
400.0465260.32230.374297
410.0624120.43240.333693
42-0.116822-0.80940.21115
430.0025580.01770.492966
440.0214290.14850.441299
45-0.045537-0.31550.376878
46-0.00163-0.01130.495518
470.0113090.07840.468936
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.0999610.69250.245965
20.0628370.43530.332631
30.454463.14860.00141
4-0.033791-0.23410.407947
50.1019390.70630.241723
60.0530410.36750.35744
7-0.09813-0.67990.249928
80.0396380.27460.392392
90.0823530.57060.285479
10-0.119706-0.82930.205507
11-0.189866-1.31540.097307
12-0.157766-1.0930.139917
13-0.113584-0.78690.217594
140.1379470.95570.172
15-0.212984-1.47560.073292
16-0.080893-0.56040.288892
17-0.059446-0.41190.341139
180.0993340.68820.247318
19-0.158207-1.09610.139254
20-0.027924-0.19350.423706
210.0802970.55630.290291
220.0199580.13830.445301
230.0993110.6880.247367
240.0413910.28680.387762
25-0.067836-0.470.320249
260.053180.36840.357082
27-0.074169-0.51390.304855
280.0245440.170.432843
290.0320990.22240.412478
30-0.102754-0.71190.239986
31-0.026775-0.18550.426808
32-0.145081-1.00510.159933
33-0.117685-0.81530.209451
34-0.093601-0.64850.259879
35-0.045607-0.3160.376695
36-0.053802-0.37270.355488
370.0916860.63520.264151
380.119130.82540.206626
390.0535550.3710.35612
40-0.053221-0.36870.356978
410.081660.56580.287098
420.011110.0770.469482
43-0.035402-0.24530.403644
44-0.077784-0.53890.296221
450.0115420.080.468298
46-0.06329-0.43850.3315
47-0.080895-0.56050.288888
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 & 0.099961 & 0.6925 & 0.245965 \tabularnewline
2 & 0.062837 & 0.4353 & 0.332631 \tabularnewline
3 & 0.45446 & 3.1486 & 0.00141 \tabularnewline
4 & -0.033791 & -0.2341 & 0.407947 \tabularnewline
5 & 0.101939 & 0.7063 & 0.241723 \tabularnewline
6 & 0.053041 & 0.3675 & 0.35744 \tabularnewline
7 & -0.09813 & -0.6799 & 0.249928 \tabularnewline
8 & 0.039638 & 0.2746 & 0.392392 \tabularnewline
9 & 0.082353 & 0.5706 & 0.285479 \tabularnewline
10 & -0.119706 & -0.8293 & 0.205507 \tabularnewline
11 & -0.189866 & -1.3154 & 0.097307 \tabularnewline
12 & -0.157766 & -1.093 & 0.139917 \tabularnewline
13 & -0.113584 & -0.7869 & 0.217594 \tabularnewline
14 & 0.137947 & 0.9557 & 0.172 \tabularnewline
15 & -0.212984 & -1.4756 & 0.073292 \tabularnewline
16 & -0.080893 & -0.5604 & 0.288892 \tabularnewline
17 & -0.059446 & -0.4119 & 0.341139 \tabularnewline
18 & 0.099334 & 0.6882 & 0.247318 \tabularnewline
19 & -0.158207 & -1.0961 & 0.139254 \tabularnewline
20 & -0.027924 & -0.1935 & 0.423706 \tabularnewline
21 & 0.080297 & 0.5563 & 0.290291 \tabularnewline
22 & 0.019958 & 0.1383 & 0.445301 \tabularnewline
23 & 0.099311 & 0.688 & 0.247367 \tabularnewline
24 & 0.041391 & 0.2868 & 0.387762 \tabularnewline
25 & -0.067836 & -0.47 & 0.320249 \tabularnewline
26 & 0.05318 & 0.3684 & 0.357082 \tabularnewline
27 & -0.074169 & -0.5139 & 0.304855 \tabularnewline
28 & 0.024544 & 0.17 & 0.432843 \tabularnewline
29 & 0.032099 & 0.2224 & 0.412478 \tabularnewline
30 & -0.102754 & -0.7119 & 0.239986 \tabularnewline
31 & -0.026775 & -0.1855 & 0.426808 \tabularnewline
32 & -0.145081 & -1.0051 & 0.159933 \tabularnewline
33 & -0.117685 & -0.8153 & 0.209451 \tabularnewline
34 & -0.093601 & -0.6485 & 0.259879 \tabularnewline
35 & -0.045607 & -0.316 & 0.376695 \tabularnewline
36 & -0.053802 & -0.3727 & 0.355488 \tabularnewline
37 & 0.091686 & 0.6352 & 0.264151 \tabularnewline
38 & 0.11913 & 0.8254 & 0.206626 \tabularnewline
39 & 0.053555 & 0.371 & 0.35612 \tabularnewline
40 & -0.053221 & -0.3687 & 0.356978 \tabularnewline
41 & 0.08166 & 0.5658 & 0.287098 \tabularnewline
42 & 0.01111 & 0.077 & 0.469482 \tabularnewline
43 & -0.035402 & -0.2453 & 0.403644 \tabularnewline
44 & -0.077784 & -0.5389 & 0.296221 \tabularnewline
45 & 0.011542 & 0.08 & 0.468298 \tabularnewline
46 & -0.06329 & -0.4385 & 0.3315 \tabularnewline
47 & -0.080895 & -0.5605 & 0.288888 \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=35698&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]0.099961[/C][C]0.6925[/C][C]0.245965[/C][/ROW]
[ROW][C]2[/C][C]0.062837[/C][C]0.4353[/C][C]0.332631[/C][/ROW]
[ROW][C]3[/C][C]0.45446[/C][C]3.1486[/C][C]0.00141[/C][/ROW]
[ROW][C]4[/C][C]-0.033791[/C][C]-0.2341[/C][C]0.407947[/C][/ROW]
[ROW][C]5[/C][C]0.101939[/C][C]0.7063[/C][C]0.241723[/C][/ROW]
[ROW][C]6[/C][C]0.053041[/C][C]0.3675[/C][C]0.35744[/C][/ROW]
[ROW][C]7[/C][C]-0.09813[/C][C]-0.6799[/C][C]0.249928[/C][/ROW]
[ROW][C]8[/C][C]0.039638[/C][C]0.2746[/C][C]0.392392[/C][/ROW]
[ROW][C]9[/C][C]0.082353[/C][C]0.5706[/C][C]0.285479[/C][/ROW]
[ROW][C]10[/C][C]-0.119706[/C][C]-0.8293[/C][C]0.205507[/C][/ROW]
[ROW][C]11[/C][C]-0.189866[/C][C]-1.3154[/C][C]0.097307[/C][/ROW]
[ROW][C]12[/C][C]-0.157766[/C][C]-1.093[/C][C]0.139917[/C][/ROW]
[ROW][C]13[/C][C]-0.113584[/C][C]-0.7869[/C][C]0.217594[/C][/ROW]
[ROW][C]14[/C][C]0.137947[/C][C]0.9557[/C][C]0.172[/C][/ROW]
[ROW][C]15[/C][C]-0.212984[/C][C]-1.4756[/C][C]0.073292[/C][/ROW]
[ROW][C]16[/C][C]-0.080893[/C][C]-0.5604[/C][C]0.288892[/C][/ROW]
[ROW][C]17[/C][C]-0.059446[/C][C]-0.4119[/C][C]0.341139[/C][/ROW]
[ROW][C]18[/C][C]0.099334[/C][C]0.6882[/C][C]0.247318[/C][/ROW]
[ROW][C]19[/C][C]-0.158207[/C][C]-1.0961[/C][C]0.139254[/C][/ROW]
[ROW][C]20[/C][C]-0.027924[/C][C]-0.1935[/C][C]0.423706[/C][/ROW]
[ROW][C]21[/C][C]0.080297[/C][C]0.5563[/C][C]0.290291[/C][/ROW]
[ROW][C]22[/C][C]0.019958[/C][C]0.1383[/C][C]0.445301[/C][/ROW]
[ROW][C]23[/C][C]0.099311[/C][C]0.688[/C][C]0.247367[/C][/ROW]
[ROW][C]24[/C][C]0.041391[/C][C]0.2868[/C][C]0.387762[/C][/ROW]
[ROW][C]25[/C][C]-0.067836[/C][C]-0.47[/C][C]0.320249[/C][/ROW]
[ROW][C]26[/C][C]0.05318[/C][C]0.3684[/C][C]0.357082[/C][/ROW]
[ROW][C]27[/C][C]-0.074169[/C][C]-0.5139[/C][C]0.304855[/C][/ROW]
[ROW][C]28[/C][C]0.024544[/C][C]0.17[/C][C]0.432843[/C][/ROW]
[ROW][C]29[/C][C]0.032099[/C][C]0.2224[/C][C]0.412478[/C][/ROW]
[ROW][C]30[/C][C]-0.102754[/C][C]-0.7119[/C][C]0.239986[/C][/ROW]
[ROW][C]31[/C][C]-0.026775[/C][C]-0.1855[/C][C]0.426808[/C][/ROW]
[ROW][C]32[/C][C]-0.145081[/C][C]-1.0051[/C][C]0.159933[/C][/ROW]
[ROW][C]33[/C][C]-0.117685[/C][C]-0.8153[/C][C]0.209451[/C][/ROW]
[ROW][C]34[/C][C]-0.093601[/C][C]-0.6485[/C][C]0.259879[/C][/ROW]
[ROW][C]35[/C][C]-0.045607[/C][C]-0.316[/C][C]0.376695[/C][/ROW]
[ROW][C]36[/C][C]-0.053802[/C][C]-0.3727[/C][C]0.355488[/C][/ROW]
[ROW][C]37[/C][C]0.091686[/C][C]0.6352[/C][C]0.264151[/C][/ROW]
[ROW][C]38[/C][C]0.11913[/C][C]0.8254[/C][C]0.206626[/C][/ROW]
[ROW][C]39[/C][C]0.053555[/C][C]0.371[/C][C]0.35612[/C][/ROW]
[ROW][C]40[/C][C]-0.053221[/C][C]-0.3687[/C][C]0.356978[/C][/ROW]
[ROW][C]41[/C][C]0.08166[/C][C]0.5658[/C][C]0.287098[/C][/ROW]
[ROW][C]42[/C][C]0.01111[/C][C]0.077[/C][C]0.469482[/C][/ROW]
[ROW][C]43[/C][C]-0.035402[/C][C]-0.2453[/C][C]0.403644[/C][/ROW]
[ROW][C]44[/C][C]-0.077784[/C][C]-0.5389[/C][C]0.296221[/C][/ROW]
[ROW][C]45[/C][C]0.011542[/C][C]0.08[/C][C]0.468298[/C][/ROW]
[ROW][C]46[/C][C]-0.06329[/C][C]-0.4385[/C][C]0.3315[/C][/ROW]
[ROW][C]47[/C][C]-0.080895[/C][C]-0.5605[/C][C]0.288888[/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=35698&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35698&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
10.0999610.69250.245965
20.0628370.43530.332631
30.454463.14860.00141
4-0.033791-0.23410.407947
50.1019390.70630.241723
60.0530410.36750.35744
7-0.09813-0.67990.249928
80.0396380.27460.392392
90.0823530.57060.285479
10-0.119706-0.82930.205507
11-0.189866-1.31540.097307
12-0.157766-1.0930.139917
13-0.113584-0.78690.217594
140.1379470.95570.172
15-0.212984-1.47560.073292
16-0.080893-0.56040.288892
17-0.059446-0.41190.341139
180.0993340.68820.247318
19-0.158207-1.09610.139254
20-0.027924-0.19350.423706
210.0802970.55630.290291
220.0199580.13830.445301
230.0993110.6880.247367
240.0413910.28680.387762
25-0.067836-0.470.320249
260.053180.36840.357082
27-0.074169-0.51390.304855
280.0245440.170.432843
290.0320990.22240.412478
30-0.102754-0.71190.239986
31-0.026775-0.18550.426808
32-0.145081-1.00510.159933
33-0.117685-0.81530.209451
34-0.093601-0.64850.259879
35-0.045607-0.3160.376695
36-0.053802-0.37270.355488
370.0916860.63520.264151
380.119130.82540.206626
390.0535550.3710.35612
40-0.053221-0.36870.356978
410.081660.56580.287098
420.011110.0770.469482
43-0.035402-0.24530.403644
44-0.077784-0.53890.296221
450.0115420.080.468298
46-0.06329-0.43850.3315
47-0.080895-0.56050.288888
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')