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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 computationTue, 24 Nov 2009 04:56:57 -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/2009/Nov/24/t1259063890vmdj86yp8d9hzpi.htm/, Retrieved Fri, 29 Mar 2024 15:55:56 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=59010, Retrieved Fri, 29 Mar 2024 15:55:56 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsJSSHWWS8P4
Estimated Impact189
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Explorative Data Analysis] [Run Sequence gebo...] [2008-12-12 13:32:37] [76963dc1903f0f612b6153510a3818cf]
- R  D  [Univariate Explorative Data Analysis] [Run Sequence gebo...] [2008-12-17 12:14:40] [76963dc1903f0f612b6153510a3818cf]
-         [Univariate Explorative Data Analysis] [Run Sequence Plot...] [2008-12-22 18:19:51] [1ce0d16c8f4225c977b42c8fa93bc163]
- RMP       [(Partial) Autocorrelation Function] [Identifying Integ...] [2009-11-22 12:16:10] [b98453cac15ba1066b407e146608df68]
-   PD          [(Partial) Autocorrelation Function] [Workshop 8] [2009-11-24 11:56:57] [c8fd62404619100d8e91184019148412] [Current]
-   P             [(Partial) Autocorrelation Function] [REV 7 1] [2009-11-26 19:50:43] [6e4e01d7eb22a9f33d58ebb35753a195]
-   P               [(Partial) Autocorrelation Function] [rev 7 1b] [2009-11-26 19:55:03] [6e4e01d7eb22a9f33d58ebb35753a195]
-   P             [(Partial) Autocorrelation Function] [WS 8 review] [2009-12-04 09:15:08] [830e13ac5e5ac1e5b21c6af0c149b21d]
-   P             [(Partial) Autocorrelation Function] [WS 8 review] [2009-12-04 09:19:05] [830e13ac5e5ac1e5b21c6af0c149b21d]
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Dataseries X:
11.1
10.9
10
9.2
9.2
9.5
9.6
9.5
9.1
8.9
9
10.1
10.3
10.2
9.6
9.2
9.3
9.4
9.4
9.2
9
9
9
9.8
10
9.8
9.3
9
9
9.1
9.1
9.1
9.2
8.8
8.3
8.4
8.1
7.7
7.9
7.9
8
7.9
7.6
7.1
6.8
6.5
6.9
8.2
8.7
8.3
7.9
7.5
7.8
8.3
8.4
8.2
7.7
7.2
7.3
8.1




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=59010&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=59010&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=59010&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'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.6087774.17366.4e-05
2-0.003587-0.02460.490244
3-0.493888-3.38590.000721
4-0.560965-3.84580.00018
5-0.255966-1.75480.042904
60.1684231.15470.127035
70.3966752.71950.004567
80.3987792.73390.004398
90.1710651.17280.1234
10-0.144548-0.9910.163388
11-0.377808-2.59010.006368
12-0.44042-3.01940.002043
13-0.279159-1.91380.030872
140.0209480.14360.44321
150.1937861.32850.095209
160.2114791.44980.076874
170.1021580.70040.243577
18-0.084308-0.5780.283016
19-0.184611-1.26560.105942
20-0.157104-1.07710.143477
21-0.081126-0.55620.290367
220.0288750.1980.421967
230.0644880.44210.330219
240.0504350.34580.365532
250.0526240.36080.359944
260.0730470.50080.30943
270.0206760.14170.443942
28-0.044069-0.30210.381947
29-0.117632-0.80640.212024
30-0.110237-0.75570.226786
310.0184240.12630.450013
320.1163350.79760.214571
330.144780.99260.163003
340.0732080.50190.309045
35-0.028915-0.19820.421859
36-0.054091-0.37080.356214
37-0.023968-0.16430.435093
380.0147180.10090.46003
390.0490510.33630.369079
400.0524920.35990.36028
410.0186960.12820.449278
42-0.004801-0.03290.48694
43-0.032708-0.22420.411772
44-0.040959-0.28080.390048
45-0.02321-0.15910.437129
46-0.005859-0.04020.484066
47NANANA
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 & 0.608777 & 4.1736 & 6.4e-05 \tabularnewline
2 & -0.003587 & -0.0246 & 0.490244 \tabularnewline
3 & -0.493888 & -3.3859 & 0.000721 \tabularnewline
4 & -0.560965 & -3.8458 & 0.00018 \tabularnewline
5 & -0.255966 & -1.7548 & 0.042904 \tabularnewline
6 & 0.168423 & 1.1547 & 0.127035 \tabularnewline
7 & 0.396675 & 2.7195 & 0.004567 \tabularnewline
8 & 0.398779 & 2.7339 & 0.004398 \tabularnewline
9 & 0.171065 & 1.1728 & 0.1234 \tabularnewline
10 & -0.144548 & -0.991 & 0.163388 \tabularnewline
11 & -0.377808 & -2.5901 & 0.006368 \tabularnewline
12 & -0.44042 & -3.0194 & 0.002043 \tabularnewline
13 & -0.279159 & -1.9138 & 0.030872 \tabularnewline
14 & 0.020948 & 0.1436 & 0.44321 \tabularnewline
15 & 0.193786 & 1.3285 & 0.095209 \tabularnewline
16 & 0.211479 & 1.4498 & 0.076874 \tabularnewline
17 & 0.102158 & 0.7004 & 0.243577 \tabularnewline
18 & -0.084308 & -0.578 & 0.283016 \tabularnewline
19 & -0.184611 & -1.2656 & 0.105942 \tabularnewline
20 & -0.157104 & -1.0771 & 0.143477 \tabularnewline
21 & -0.081126 & -0.5562 & 0.290367 \tabularnewline
22 & 0.028875 & 0.198 & 0.421967 \tabularnewline
23 & 0.064488 & 0.4421 & 0.330219 \tabularnewline
24 & 0.050435 & 0.3458 & 0.365532 \tabularnewline
25 & 0.052624 & 0.3608 & 0.359944 \tabularnewline
26 & 0.073047 & 0.5008 & 0.30943 \tabularnewline
27 & 0.020676 & 0.1417 & 0.443942 \tabularnewline
28 & -0.044069 & -0.3021 & 0.381947 \tabularnewline
29 & -0.117632 & -0.8064 & 0.212024 \tabularnewline
30 & -0.110237 & -0.7557 & 0.226786 \tabularnewline
31 & 0.018424 & 0.1263 & 0.450013 \tabularnewline
32 & 0.116335 & 0.7976 & 0.214571 \tabularnewline
33 & 0.14478 & 0.9926 & 0.163003 \tabularnewline
34 & 0.073208 & 0.5019 & 0.309045 \tabularnewline
35 & -0.028915 & -0.1982 & 0.421859 \tabularnewline
36 & -0.054091 & -0.3708 & 0.356214 \tabularnewline
37 & -0.023968 & -0.1643 & 0.435093 \tabularnewline
38 & 0.014718 & 0.1009 & 0.46003 \tabularnewline
39 & 0.049051 & 0.3363 & 0.369079 \tabularnewline
40 & 0.052492 & 0.3599 & 0.36028 \tabularnewline
41 & 0.018696 & 0.1282 & 0.449278 \tabularnewline
42 & -0.004801 & -0.0329 & 0.48694 \tabularnewline
43 & -0.032708 & -0.2242 & 0.411772 \tabularnewline
44 & -0.040959 & -0.2808 & 0.390048 \tabularnewline
45 & -0.02321 & -0.1591 & 0.437129 \tabularnewline
46 & -0.005859 & -0.0402 & 0.484066 \tabularnewline
47 & NA & NA & NA \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=59010&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]0.608777[/C][C]4.1736[/C][C]6.4e-05[/C][/ROW]
[ROW][C]2[/C][C]-0.003587[/C][C]-0.0246[/C][C]0.490244[/C][/ROW]
[ROW][C]3[/C][C]-0.493888[/C][C]-3.3859[/C][C]0.000721[/C][/ROW]
[ROW][C]4[/C][C]-0.560965[/C][C]-3.8458[/C][C]0.00018[/C][/ROW]
[ROW][C]5[/C][C]-0.255966[/C][C]-1.7548[/C][C]0.042904[/C][/ROW]
[ROW][C]6[/C][C]0.168423[/C][C]1.1547[/C][C]0.127035[/C][/ROW]
[ROW][C]7[/C][C]0.396675[/C][C]2.7195[/C][C]0.004567[/C][/ROW]
[ROW][C]8[/C][C]0.398779[/C][C]2.7339[/C][C]0.004398[/C][/ROW]
[ROW][C]9[/C][C]0.171065[/C][C]1.1728[/C][C]0.1234[/C][/ROW]
[ROW][C]10[/C][C]-0.144548[/C][C]-0.991[/C][C]0.163388[/C][/ROW]
[ROW][C]11[/C][C]-0.377808[/C][C]-2.5901[/C][C]0.006368[/C][/ROW]
[ROW][C]12[/C][C]-0.44042[/C][C]-3.0194[/C][C]0.002043[/C][/ROW]
[ROW][C]13[/C][C]-0.279159[/C][C]-1.9138[/C][C]0.030872[/C][/ROW]
[ROW][C]14[/C][C]0.020948[/C][C]0.1436[/C][C]0.44321[/C][/ROW]
[ROW][C]15[/C][C]0.193786[/C][C]1.3285[/C][C]0.095209[/C][/ROW]
[ROW][C]16[/C][C]0.211479[/C][C]1.4498[/C][C]0.076874[/C][/ROW]
[ROW][C]17[/C][C]0.102158[/C][C]0.7004[/C][C]0.243577[/C][/ROW]
[ROW][C]18[/C][C]-0.084308[/C][C]-0.578[/C][C]0.283016[/C][/ROW]
[ROW][C]19[/C][C]-0.184611[/C][C]-1.2656[/C][C]0.105942[/C][/ROW]
[ROW][C]20[/C][C]-0.157104[/C][C]-1.0771[/C][C]0.143477[/C][/ROW]
[ROW][C]21[/C][C]-0.081126[/C][C]-0.5562[/C][C]0.290367[/C][/ROW]
[ROW][C]22[/C][C]0.028875[/C][C]0.198[/C][C]0.421967[/C][/ROW]
[ROW][C]23[/C][C]0.064488[/C][C]0.4421[/C][C]0.330219[/C][/ROW]
[ROW][C]24[/C][C]0.050435[/C][C]0.3458[/C][C]0.365532[/C][/ROW]
[ROW][C]25[/C][C]0.052624[/C][C]0.3608[/C][C]0.359944[/C][/ROW]
[ROW][C]26[/C][C]0.073047[/C][C]0.5008[/C][C]0.30943[/C][/ROW]
[ROW][C]27[/C][C]0.020676[/C][C]0.1417[/C][C]0.443942[/C][/ROW]
[ROW][C]28[/C][C]-0.044069[/C][C]-0.3021[/C][C]0.381947[/C][/ROW]
[ROW][C]29[/C][C]-0.117632[/C][C]-0.8064[/C][C]0.212024[/C][/ROW]
[ROW][C]30[/C][C]-0.110237[/C][C]-0.7557[/C][C]0.226786[/C][/ROW]
[ROW][C]31[/C][C]0.018424[/C][C]0.1263[/C][C]0.450013[/C][/ROW]
[ROW][C]32[/C][C]0.116335[/C][C]0.7976[/C][C]0.214571[/C][/ROW]
[ROW][C]33[/C][C]0.14478[/C][C]0.9926[/C][C]0.163003[/C][/ROW]
[ROW][C]34[/C][C]0.073208[/C][C]0.5019[/C][C]0.309045[/C][/ROW]
[ROW][C]35[/C][C]-0.028915[/C][C]-0.1982[/C][C]0.421859[/C][/ROW]
[ROW][C]36[/C][C]-0.054091[/C][C]-0.3708[/C][C]0.356214[/C][/ROW]
[ROW][C]37[/C][C]-0.023968[/C][C]-0.1643[/C][C]0.435093[/C][/ROW]
[ROW][C]38[/C][C]0.014718[/C][C]0.1009[/C][C]0.46003[/C][/ROW]
[ROW][C]39[/C][C]0.049051[/C][C]0.3363[/C][C]0.369079[/C][/ROW]
[ROW][C]40[/C][C]0.052492[/C][C]0.3599[/C][C]0.36028[/C][/ROW]
[ROW][C]41[/C][C]0.018696[/C][C]0.1282[/C][C]0.449278[/C][/ROW]
[ROW][C]42[/C][C]-0.004801[/C][C]-0.0329[/C][C]0.48694[/C][/ROW]
[ROW][C]43[/C][C]-0.032708[/C][C]-0.2242[/C][C]0.411772[/C][/ROW]
[ROW][C]44[/C][C]-0.040959[/C][C]-0.2808[/C][C]0.390048[/C][/ROW]
[ROW][C]45[/C][C]-0.02321[/C][C]-0.1591[/C][C]0.437129[/C][/ROW]
[ROW][C]46[/C][C]-0.005859[/C][C]-0.0402[/C][C]0.484066[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/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=59010&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=59010&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
10.6087774.17366.4e-05
2-0.003587-0.02460.490244
3-0.493888-3.38590.000721
4-0.560965-3.84580.00018
5-0.255966-1.75480.042904
60.1684231.15470.127035
70.3966752.71950.004567
80.3987792.73390.004398
90.1710651.17280.1234
10-0.144548-0.9910.163388
11-0.377808-2.59010.006368
12-0.44042-3.01940.002043
13-0.279159-1.91380.030872
140.0209480.14360.44321
150.1937861.32850.095209
160.2114791.44980.076874
170.1021580.70040.243577
18-0.084308-0.5780.283016
19-0.184611-1.26560.105942
20-0.157104-1.07710.143477
21-0.081126-0.55620.290367
220.0288750.1980.421967
230.0644880.44210.330219
240.0504350.34580.365532
250.0526240.36080.359944
260.0730470.50080.30943
270.0206760.14170.443942
28-0.044069-0.30210.381947
29-0.117632-0.80640.212024
30-0.110237-0.75570.226786
310.0184240.12630.450013
320.1163350.79760.214571
330.144780.99260.163003
340.0732080.50190.309045
35-0.028915-0.19820.421859
36-0.054091-0.37080.356214
37-0.023968-0.16430.435093
380.0147180.10090.46003
390.0490510.33630.369079
400.0524920.35990.36028
410.0186960.12820.449278
42-0.004801-0.03290.48694
43-0.032708-0.22420.411772
44-0.040959-0.28080.390048
45-0.02321-0.15910.437129
46-0.005859-0.04020.484066
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.6087774.17366.4e-05
2-0.594538-4.07598.8e-05
3-0.315703-2.16440.017775
40.0461810.31660.376473
50.072150.49460.311582
60.0656530.45010.327356
7-0.031486-0.21590.415017
80.1935241.32670.095503
90.0010180.0070.49723
10-0.129694-0.88910.18923
11-0.116281-0.79720.214677
12-0.189568-1.29960.100037
13-0.064971-0.44540.32903
14-0.035155-0.2410.405297
15-0.271571-1.86180.034445
16-0.018487-0.12670.449845
170.0779020.53410.297906
18-0.102103-0.70.243694
190.0324770.22270.412386
200.0676310.46370.322519
21-0.059969-0.41110.341425
22-0.038034-0.26070.397714
23-0.184214-1.26290.106426
24-0.077055-0.52830.299901
250.0165880.11370.454971
260.0142570.09770.461277
27-0.234134-1.60510.057581
28-0.090359-0.61950.2693
290.0275970.18920.425376
30-0.050653-0.34730.364974
310.0347230.23810.406438
32-0.090346-0.61940.269328
330.0034750.02380.490548
34-0.073448-0.50350.30847
35-0.038722-0.26550.395907
360.0212240.14550.442467
37-0.041397-0.28380.388903
380.0375920.25770.398874
39-0.067314-0.46150.323292
40-0.085165-0.58390.281053
41-0.022311-0.1530.439543
42-0.052657-0.3610.359858
43-0.068989-0.4730.319214
44-0.02256-0.15470.438875
45-0.084182-0.57710.283307
46-0.050657-0.34730.364962
47NANANA
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 & 0.608777 & 4.1736 & 6.4e-05 \tabularnewline
2 & -0.594538 & -4.0759 & 8.8e-05 \tabularnewline
3 & -0.315703 & -2.1644 & 0.017775 \tabularnewline
4 & 0.046181 & 0.3166 & 0.376473 \tabularnewline
5 & 0.07215 & 0.4946 & 0.311582 \tabularnewline
6 & 0.065653 & 0.4501 & 0.327356 \tabularnewline
7 & -0.031486 & -0.2159 & 0.415017 \tabularnewline
8 & 0.193524 & 1.3267 & 0.095503 \tabularnewline
9 & 0.001018 & 0.007 & 0.49723 \tabularnewline
10 & -0.129694 & -0.8891 & 0.18923 \tabularnewline
11 & -0.116281 & -0.7972 & 0.214677 \tabularnewline
12 & -0.189568 & -1.2996 & 0.100037 \tabularnewline
13 & -0.064971 & -0.4454 & 0.32903 \tabularnewline
14 & -0.035155 & -0.241 & 0.405297 \tabularnewline
15 & -0.271571 & -1.8618 & 0.034445 \tabularnewline
16 & -0.018487 & -0.1267 & 0.449845 \tabularnewline
17 & 0.077902 & 0.5341 & 0.297906 \tabularnewline
18 & -0.102103 & -0.7 & 0.243694 \tabularnewline
19 & 0.032477 & 0.2227 & 0.412386 \tabularnewline
20 & 0.067631 & 0.4637 & 0.322519 \tabularnewline
21 & -0.059969 & -0.4111 & 0.341425 \tabularnewline
22 & -0.038034 & -0.2607 & 0.397714 \tabularnewline
23 & -0.184214 & -1.2629 & 0.106426 \tabularnewline
24 & -0.077055 & -0.5283 & 0.299901 \tabularnewline
25 & 0.016588 & 0.1137 & 0.454971 \tabularnewline
26 & 0.014257 & 0.0977 & 0.461277 \tabularnewline
27 & -0.234134 & -1.6051 & 0.057581 \tabularnewline
28 & -0.090359 & -0.6195 & 0.2693 \tabularnewline
29 & 0.027597 & 0.1892 & 0.425376 \tabularnewline
30 & -0.050653 & -0.3473 & 0.364974 \tabularnewline
31 & 0.034723 & 0.2381 & 0.406438 \tabularnewline
32 & -0.090346 & -0.6194 & 0.269328 \tabularnewline
33 & 0.003475 & 0.0238 & 0.490548 \tabularnewline
34 & -0.073448 & -0.5035 & 0.30847 \tabularnewline
35 & -0.038722 & -0.2655 & 0.395907 \tabularnewline
36 & 0.021224 & 0.1455 & 0.442467 \tabularnewline
37 & -0.041397 & -0.2838 & 0.388903 \tabularnewline
38 & 0.037592 & 0.2577 & 0.398874 \tabularnewline
39 & -0.067314 & -0.4615 & 0.323292 \tabularnewline
40 & -0.085165 & -0.5839 & 0.281053 \tabularnewline
41 & -0.022311 & -0.153 & 0.439543 \tabularnewline
42 & -0.052657 & -0.361 & 0.359858 \tabularnewline
43 & -0.068989 & -0.473 & 0.319214 \tabularnewline
44 & -0.02256 & -0.1547 & 0.438875 \tabularnewline
45 & -0.084182 & -0.5771 & 0.283307 \tabularnewline
46 & -0.050657 & -0.3473 & 0.364962 \tabularnewline
47 & NA & NA & NA \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=59010&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]0.608777[/C][C]4.1736[/C][C]6.4e-05[/C][/ROW]
[ROW][C]2[/C][C]-0.594538[/C][C]-4.0759[/C][C]8.8e-05[/C][/ROW]
[ROW][C]3[/C][C]-0.315703[/C][C]-2.1644[/C][C]0.017775[/C][/ROW]
[ROW][C]4[/C][C]0.046181[/C][C]0.3166[/C][C]0.376473[/C][/ROW]
[ROW][C]5[/C][C]0.07215[/C][C]0.4946[/C][C]0.311582[/C][/ROW]
[ROW][C]6[/C][C]0.065653[/C][C]0.4501[/C][C]0.327356[/C][/ROW]
[ROW][C]7[/C][C]-0.031486[/C][C]-0.2159[/C][C]0.415017[/C][/ROW]
[ROW][C]8[/C][C]0.193524[/C][C]1.3267[/C][C]0.095503[/C][/ROW]
[ROW][C]9[/C][C]0.001018[/C][C]0.007[/C][C]0.49723[/C][/ROW]
[ROW][C]10[/C][C]-0.129694[/C][C]-0.8891[/C][C]0.18923[/C][/ROW]
[ROW][C]11[/C][C]-0.116281[/C][C]-0.7972[/C][C]0.214677[/C][/ROW]
[ROW][C]12[/C][C]-0.189568[/C][C]-1.2996[/C][C]0.100037[/C][/ROW]
[ROW][C]13[/C][C]-0.064971[/C][C]-0.4454[/C][C]0.32903[/C][/ROW]
[ROW][C]14[/C][C]-0.035155[/C][C]-0.241[/C][C]0.405297[/C][/ROW]
[ROW][C]15[/C][C]-0.271571[/C][C]-1.8618[/C][C]0.034445[/C][/ROW]
[ROW][C]16[/C][C]-0.018487[/C][C]-0.1267[/C][C]0.449845[/C][/ROW]
[ROW][C]17[/C][C]0.077902[/C][C]0.5341[/C][C]0.297906[/C][/ROW]
[ROW][C]18[/C][C]-0.102103[/C][C]-0.7[/C][C]0.243694[/C][/ROW]
[ROW][C]19[/C][C]0.032477[/C][C]0.2227[/C][C]0.412386[/C][/ROW]
[ROW][C]20[/C][C]0.067631[/C][C]0.4637[/C][C]0.322519[/C][/ROW]
[ROW][C]21[/C][C]-0.059969[/C][C]-0.4111[/C][C]0.341425[/C][/ROW]
[ROW][C]22[/C][C]-0.038034[/C][C]-0.2607[/C][C]0.397714[/C][/ROW]
[ROW][C]23[/C][C]-0.184214[/C][C]-1.2629[/C][C]0.106426[/C][/ROW]
[ROW][C]24[/C][C]-0.077055[/C][C]-0.5283[/C][C]0.299901[/C][/ROW]
[ROW][C]25[/C][C]0.016588[/C][C]0.1137[/C][C]0.454971[/C][/ROW]
[ROW][C]26[/C][C]0.014257[/C][C]0.0977[/C][C]0.461277[/C][/ROW]
[ROW][C]27[/C][C]-0.234134[/C][C]-1.6051[/C][C]0.057581[/C][/ROW]
[ROW][C]28[/C][C]-0.090359[/C][C]-0.6195[/C][C]0.2693[/C][/ROW]
[ROW][C]29[/C][C]0.027597[/C][C]0.1892[/C][C]0.425376[/C][/ROW]
[ROW][C]30[/C][C]-0.050653[/C][C]-0.3473[/C][C]0.364974[/C][/ROW]
[ROW][C]31[/C][C]0.034723[/C][C]0.2381[/C][C]0.406438[/C][/ROW]
[ROW][C]32[/C][C]-0.090346[/C][C]-0.6194[/C][C]0.269328[/C][/ROW]
[ROW][C]33[/C][C]0.003475[/C][C]0.0238[/C][C]0.490548[/C][/ROW]
[ROW][C]34[/C][C]-0.073448[/C][C]-0.5035[/C][C]0.30847[/C][/ROW]
[ROW][C]35[/C][C]-0.038722[/C][C]-0.2655[/C][C]0.395907[/C][/ROW]
[ROW][C]36[/C][C]0.021224[/C][C]0.1455[/C][C]0.442467[/C][/ROW]
[ROW][C]37[/C][C]-0.041397[/C][C]-0.2838[/C][C]0.388903[/C][/ROW]
[ROW][C]38[/C][C]0.037592[/C][C]0.2577[/C][C]0.398874[/C][/ROW]
[ROW][C]39[/C][C]-0.067314[/C][C]-0.4615[/C][C]0.323292[/C][/ROW]
[ROW][C]40[/C][C]-0.085165[/C][C]-0.5839[/C][C]0.281053[/C][/ROW]
[ROW][C]41[/C][C]-0.022311[/C][C]-0.153[/C][C]0.439543[/C][/ROW]
[ROW][C]42[/C][C]-0.052657[/C][C]-0.361[/C][C]0.359858[/C][/ROW]
[ROW][C]43[/C][C]-0.068989[/C][C]-0.473[/C][C]0.319214[/C][/ROW]
[ROW][C]44[/C][C]-0.02256[/C][C]-0.1547[/C][C]0.438875[/C][/ROW]
[ROW][C]45[/C][C]-0.084182[/C][C]-0.5771[/C][C]0.283307[/C][/ROW]
[ROW][C]46[/C][C]-0.050657[/C][C]-0.3473[/C][C]0.364962[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/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=59010&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=59010&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
10.6087774.17366.4e-05
2-0.594538-4.07598.8e-05
3-0.315703-2.16440.017775
40.0461810.31660.376473
50.072150.49460.311582
60.0656530.45010.327356
7-0.031486-0.21590.415017
80.1935241.32670.095503
90.0010180.0070.49723
10-0.129694-0.88910.18923
11-0.116281-0.79720.214677
12-0.189568-1.29960.100037
13-0.064971-0.44540.32903
14-0.035155-0.2410.405297
15-0.271571-1.86180.034445
16-0.018487-0.12670.449845
170.0779020.53410.297906
18-0.102103-0.70.243694
190.0324770.22270.412386
200.0676310.46370.322519
21-0.059969-0.41110.341425
22-0.038034-0.26070.397714
23-0.184214-1.26290.106426
24-0.077055-0.52830.299901
250.0165880.11370.454971
260.0142570.09770.461277
27-0.234134-1.60510.057581
28-0.090359-0.61950.2693
290.0275970.18920.425376
30-0.050653-0.34730.364974
310.0347230.23810.406438
32-0.090346-0.61940.269328
330.0034750.02380.490548
34-0.073448-0.50350.30847
35-0.038722-0.26550.395907
360.0212240.14550.442467
37-0.041397-0.28380.388903
380.0375920.25770.398874
39-0.067314-0.46150.323292
40-0.085165-0.58390.281053
41-0.022311-0.1530.439543
42-0.052657-0.3610.359858
43-0.068989-0.4730.319214
44-0.02256-0.15470.438875
45-0.084182-0.57710.283307
46-0.050657-0.34730.364962
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ; par6 = MA ; par7 = 0.95 ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ; par6 = MA ; par7 = 0.95 ;
R code (references can be found in the software module):
if (par1 == 'Default') {
par1 = 10*log10(length(x))
} else {
par1 <- as.numeric(par1)
}
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
par5 <- as.numeric(par5)
if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
par7 <- as.numeric(par7)
if (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='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
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')