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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 07:35:03 -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/t1259073333zpkh82zhy9ir675.htm/, Retrieved Sat, 25 May 2024 05:25:57 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=59088, Retrieved Sat, 25 May 2024 05:25:57 +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)
-     [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] [] [2009-11-24 14:35:03] [0f1f1142419956a95ff6f880845f2408] [Current]
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Dataseries X:
115.47
103.34
102.6
100.69
105.67
123.61
113.08
106.46
123.38
109.87
95.74
123.06
123.39
120.28
115.33
110.4
114.49
132.03
123.16
118.82
128.32
112.24
104.53
132.57
122.52
131.8
124.55
120.96
122.6
145.52
118.57
134.25
136.7
121.37
111.63
134.42
137.65
137.86
119.77
130.69
128.28
147.45
128.42
136.9
143.95
135.64
122.48
136.83
153.04
142.71
123.46
144.37
146.15
147.61
158.51
147.4
165.05
154.64
126.2
157.36
154.15
123.21
113.07
110.45
113.57
122.44
114.93
111.85
126.04
121.34




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=59088&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=59088&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=59088&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
1-0.606602-4.06929.4e-05
20.1021460.68520.248362
30.2705461.81490.038105
4-0.243376-1.63260.054764
50.1048810.70360.242665
60.134730.90380.185458
7-0.257808-1.72940.045293
80.1904121.27730.10402
9-0.094309-0.63260.265085
100.0182620.12250.451521
110.0483450.32430.373604
12-0.152868-1.02550.155311
130.1195280.80180.213437
14-0.077746-0.52150.302276
150.1099820.73780.232239
16-0.178959-1.20050.118115
170.1371140.91980.181293
18-0.052235-0.35040.363836
19-0.059764-0.40090.345193
200.1439780.96580.169646
21-0.089885-0.6030.27478
22-0.170604-1.14440.129245
230.3875622.59980.006285
24-0.353594-2.3720.011015
250.1534811.02960.154355
260.0402070.26970.394306
27-0.104526-0.70120.2434
280.0579360.38860.349684
290.0372080.24960.402017
30-0.102485-0.68750.247652
310.0825070.55350.291339
32-0.080274-0.53850.296445
330.0344960.23140.409024
340.031830.21350.415942
35-0.128568-0.86250.196504
360.1190820.79880.214294
37-0.095866-0.64310.261715
380.0515170.34560.365631
39-0.03765-0.25260.400879
400.0162080.10870.45695
41-0.016378-0.10990.456502
420.0109980.07380.470758
43-0.002606-0.01750.493064
440.0031460.02110.491628
45NANANA
46NANANA
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 & -0.606602 & -4.0692 & 9.4e-05 \tabularnewline
2 & 0.102146 & 0.6852 & 0.248362 \tabularnewline
3 & 0.270546 & 1.8149 & 0.038105 \tabularnewline
4 & -0.243376 & -1.6326 & 0.054764 \tabularnewline
5 & 0.104881 & 0.7036 & 0.242665 \tabularnewline
6 & 0.13473 & 0.9038 & 0.185458 \tabularnewline
7 & -0.257808 & -1.7294 & 0.045293 \tabularnewline
8 & 0.190412 & 1.2773 & 0.10402 \tabularnewline
9 & -0.094309 & -0.6326 & 0.265085 \tabularnewline
10 & 0.018262 & 0.1225 & 0.451521 \tabularnewline
11 & 0.048345 & 0.3243 & 0.373604 \tabularnewline
12 & -0.152868 & -1.0255 & 0.155311 \tabularnewline
13 & 0.119528 & 0.8018 & 0.213437 \tabularnewline
14 & -0.077746 & -0.5215 & 0.302276 \tabularnewline
15 & 0.109982 & 0.7378 & 0.232239 \tabularnewline
16 & -0.178959 & -1.2005 & 0.118115 \tabularnewline
17 & 0.137114 & 0.9198 & 0.181293 \tabularnewline
18 & -0.052235 & -0.3504 & 0.363836 \tabularnewline
19 & -0.059764 & -0.4009 & 0.345193 \tabularnewline
20 & 0.143978 & 0.9658 & 0.169646 \tabularnewline
21 & -0.089885 & -0.603 & 0.27478 \tabularnewline
22 & -0.170604 & -1.1444 & 0.129245 \tabularnewline
23 & 0.387562 & 2.5998 & 0.006285 \tabularnewline
24 & -0.353594 & -2.372 & 0.011015 \tabularnewline
25 & 0.153481 & 1.0296 & 0.154355 \tabularnewline
26 & 0.040207 & 0.2697 & 0.394306 \tabularnewline
27 & -0.104526 & -0.7012 & 0.2434 \tabularnewline
28 & 0.057936 & 0.3886 & 0.349684 \tabularnewline
29 & 0.037208 & 0.2496 & 0.402017 \tabularnewline
30 & -0.102485 & -0.6875 & 0.247652 \tabularnewline
31 & 0.082507 & 0.5535 & 0.291339 \tabularnewline
32 & -0.080274 & -0.5385 & 0.296445 \tabularnewline
33 & 0.034496 & 0.2314 & 0.409024 \tabularnewline
34 & 0.03183 & 0.2135 & 0.415942 \tabularnewline
35 & -0.128568 & -0.8625 & 0.196504 \tabularnewline
36 & 0.119082 & 0.7988 & 0.214294 \tabularnewline
37 & -0.095866 & -0.6431 & 0.261715 \tabularnewline
38 & 0.051517 & 0.3456 & 0.365631 \tabularnewline
39 & -0.03765 & -0.2526 & 0.400879 \tabularnewline
40 & 0.016208 & 0.1087 & 0.45695 \tabularnewline
41 & -0.016378 & -0.1099 & 0.456502 \tabularnewline
42 & 0.010998 & 0.0738 & 0.470758 \tabularnewline
43 & -0.002606 & -0.0175 & 0.493064 \tabularnewline
44 & 0.003146 & 0.0211 & 0.491628 \tabularnewline
45 & NA & NA & NA \tabularnewline
46 & NA & NA & NA \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=59088&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]-0.606602[/C][C]-4.0692[/C][C]9.4e-05[/C][/ROW]
[ROW][C]2[/C][C]0.102146[/C][C]0.6852[/C][C]0.248362[/C][/ROW]
[ROW][C]3[/C][C]0.270546[/C][C]1.8149[/C][C]0.038105[/C][/ROW]
[ROW][C]4[/C][C]-0.243376[/C][C]-1.6326[/C][C]0.054764[/C][/ROW]
[ROW][C]5[/C][C]0.104881[/C][C]0.7036[/C][C]0.242665[/C][/ROW]
[ROW][C]6[/C][C]0.13473[/C][C]0.9038[/C][C]0.185458[/C][/ROW]
[ROW][C]7[/C][C]-0.257808[/C][C]-1.7294[/C][C]0.045293[/C][/ROW]
[ROW][C]8[/C][C]0.190412[/C][C]1.2773[/C][C]0.10402[/C][/ROW]
[ROW][C]9[/C][C]-0.094309[/C][C]-0.6326[/C][C]0.265085[/C][/ROW]
[ROW][C]10[/C][C]0.018262[/C][C]0.1225[/C][C]0.451521[/C][/ROW]
[ROW][C]11[/C][C]0.048345[/C][C]0.3243[/C][C]0.373604[/C][/ROW]
[ROW][C]12[/C][C]-0.152868[/C][C]-1.0255[/C][C]0.155311[/C][/ROW]
[ROW][C]13[/C][C]0.119528[/C][C]0.8018[/C][C]0.213437[/C][/ROW]
[ROW][C]14[/C][C]-0.077746[/C][C]-0.5215[/C][C]0.302276[/C][/ROW]
[ROW][C]15[/C][C]0.109982[/C][C]0.7378[/C][C]0.232239[/C][/ROW]
[ROW][C]16[/C][C]-0.178959[/C][C]-1.2005[/C][C]0.118115[/C][/ROW]
[ROW][C]17[/C][C]0.137114[/C][C]0.9198[/C][C]0.181293[/C][/ROW]
[ROW][C]18[/C][C]-0.052235[/C][C]-0.3504[/C][C]0.363836[/C][/ROW]
[ROW][C]19[/C][C]-0.059764[/C][C]-0.4009[/C][C]0.345193[/C][/ROW]
[ROW][C]20[/C][C]0.143978[/C][C]0.9658[/C][C]0.169646[/C][/ROW]
[ROW][C]21[/C][C]-0.089885[/C][C]-0.603[/C][C]0.27478[/C][/ROW]
[ROW][C]22[/C][C]-0.170604[/C][C]-1.1444[/C][C]0.129245[/C][/ROW]
[ROW][C]23[/C][C]0.387562[/C][C]2.5998[/C][C]0.006285[/C][/ROW]
[ROW][C]24[/C][C]-0.353594[/C][C]-2.372[/C][C]0.011015[/C][/ROW]
[ROW][C]25[/C][C]0.153481[/C][C]1.0296[/C][C]0.154355[/C][/ROW]
[ROW][C]26[/C][C]0.040207[/C][C]0.2697[/C][C]0.394306[/C][/ROW]
[ROW][C]27[/C][C]-0.104526[/C][C]-0.7012[/C][C]0.2434[/C][/ROW]
[ROW][C]28[/C][C]0.057936[/C][C]0.3886[/C][C]0.349684[/C][/ROW]
[ROW][C]29[/C][C]0.037208[/C][C]0.2496[/C][C]0.402017[/C][/ROW]
[ROW][C]30[/C][C]-0.102485[/C][C]-0.6875[/C][C]0.247652[/C][/ROW]
[ROW][C]31[/C][C]0.082507[/C][C]0.5535[/C][C]0.291339[/C][/ROW]
[ROW][C]32[/C][C]-0.080274[/C][C]-0.5385[/C][C]0.296445[/C][/ROW]
[ROW][C]33[/C][C]0.034496[/C][C]0.2314[/C][C]0.409024[/C][/ROW]
[ROW][C]34[/C][C]0.03183[/C][C]0.2135[/C][C]0.415942[/C][/ROW]
[ROW][C]35[/C][C]-0.128568[/C][C]-0.8625[/C][C]0.196504[/C][/ROW]
[ROW][C]36[/C][C]0.119082[/C][C]0.7988[/C][C]0.214294[/C][/ROW]
[ROW][C]37[/C][C]-0.095866[/C][C]-0.6431[/C][C]0.261715[/C][/ROW]
[ROW][C]38[/C][C]0.051517[/C][C]0.3456[/C][C]0.365631[/C][/ROW]
[ROW][C]39[/C][C]-0.03765[/C][C]-0.2526[/C][C]0.400879[/C][/ROW]
[ROW][C]40[/C][C]0.016208[/C][C]0.1087[/C][C]0.45695[/C][/ROW]
[ROW][C]41[/C][C]-0.016378[/C][C]-0.1099[/C][C]0.456502[/C][/ROW]
[ROW][C]42[/C][C]0.010998[/C][C]0.0738[/C][C]0.470758[/C][/ROW]
[ROW][C]43[/C][C]-0.002606[/C][C]-0.0175[/C][C]0.493064[/C][/ROW]
[ROW][C]44[/C][C]0.003146[/C][C]0.0211[/C][C]0.491628[/C][/ROW]
[ROW][C]45[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]46[/C][C]NA[/C][C]NA[/C][C]NA[/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=59088&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=59088&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
1-0.606602-4.06929.4e-05
20.1021460.68520.248362
30.2705461.81490.038105
4-0.243376-1.63260.054764
50.1048810.70360.242665
60.134730.90380.185458
7-0.257808-1.72940.045293
80.1904121.27730.10402
9-0.094309-0.63260.265085
100.0182620.12250.451521
110.0483450.32430.373604
12-0.152868-1.02550.155311
130.1195280.80180.213437
14-0.077746-0.52150.302276
150.1099820.73780.232239
16-0.178959-1.20050.118115
170.1371140.91980.181293
18-0.052235-0.35040.363836
19-0.059764-0.40090.345193
200.1439780.96580.169646
21-0.089885-0.6030.27478
22-0.170604-1.14440.129245
230.3875622.59980.006285
24-0.353594-2.3720.011015
250.1534811.02960.154355
260.0402070.26970.394306
27-0.104526-0.70120.2434
280.0579360.38860.349684
290.0372080.24960.402017
30-0.102485-0.68750.247652
310.0825070.55350.291339
32-0.080274-0.53850.296445
330.0344960.23140.409024
340.031830.21350.415942
35-0.128568-0.86250.196504
360.1190820.79880.214294
37-0.095866-0.64310.261715
380.0515170.34560.365631
39-0.03765-0.25260.400879
400.0162080.10870.45695
41-0.016378-0.10990.456502
420.0109980.07380.470758
43-0.002606-0.01750.493064
440.0031460.02110.491628
45NANANA
46NANANA
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.606602-4.06929.4e-05
2-0.420579-2.82130.003546
30.198841.33390.094481
40.2265721.51990.067767
50.1177560.78990.216855
60.2074051.39130.085486
7-0.081436-0.54630.293783
8-0.153829-1.03190.153813
9-0.262946-1.76390.042269
10-0.044911-0.30130.382299
110.1542911.0350.153097
12-0.013539-0.09080.464019
13-0.040797-0.27370.392795
14-0.16316-1.09450.139778
150.2129441.42850.08003
16-0.047115-0.31610.376709
17-0.008201-0.0550.478186
18-0.036941-0.24780.402705
19-0.140932-0.94540.174752
200.0452540.30360.381426
210.1013210.67970.250094
22-0.181114-1.21490.115361
230.0791490.53090.299033
240.0090480.06070.475934
250.0707730.47480.318627
26-0.052567-0.35260.363006
270.1552551.04150.151608
28-0.048696-0.32670.372718
29-0.13528-0.90750.184492
30-0.143539-0.96290.170374
31-0.040729-0.27320.392967
32-0.014234-0.09550.462177
33-0.057204-0.38370.351491
340.0458640.30770.379878
35-0.001982-0.01330.494724
360.0340040.22810.4103
37-0.047612-0.31940.375455
38-0.101994-0.68420.24868
390.0397710.26680.395424
40-0.079028-0.53010.299311
410.023980.16090.436462
420.0034010.02280.49095
43-0.006851-0.0460.481772
44-0.085507-0.57360.284548
45NANANA
46NANANA
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 & -0.606602 & -4.0692 & 9.4e-05 \tabularnewline
2 & -0.420579 & -2.8213 & 0.003546 \tabularnewline
3 & 0.19884 & 1.3339 & 0.094481 \tabularnewline
4 & 0.226572 & 1.5199 & 0.067767 \tabularnewline
5 & 0.117756 & 0.7899 & 0.216855 \tabularnewline
6 & 0.207405 & 1.3913 & 0.085486 \tabularnewline
7 & -0.081436 & -0.5463 & 0.293783 \tabularnewline
8 & -0.153829 & -1.0319 & 0.153813 \tabularnewline
9 & -0.262946 & -1.7639 & 0.042269 \tabularnewline
10 & -0.044911 & -0.3013 & 0.382299 \tabularnewline
11 & 0.154291 & 1.035 & 0.153097 \tabularnewline
12 & -0.013539 & -0.0908 & 0.464019 \tabularnewline
13 & -0.040797 & -0.2737 & 0.392795 \tabularnewline
14 & -0.16316 & -1.0945 & 0.139778 \tabularnewline
15 & 0.212944 & 1.4285 & 0.08003 \tabularnewline
16 & -0.047115 & -0.3161 & 0.376709 \tabularnewline
17 & -0.008201 & -0.055 & 0.478186 \tabularnewline
18 & -0.036941 & -0.2478 & 0.402705 \tabularnewline
19 & -0.140932 & -0.9454 & 0.174752 \tabularnewline
20 & 0.045254 & 0.3036 & 0.381426 \tabularnewline
21 & 0.101321 & 0.6797 & 0.250094 \tabularnewline
22 & -0.181114 & -1.2149 & 0.115361 \tabularnewline
23 & 0.079149 & 0.5309 & 0.299033 \tabularnewline
24 & 0.009048 & 0.0607 & 0.475934 \tabularnewline
25 & 0.070773 & 0.4748 & 0.318627 \tabularnewline
26 & -0.052567 & -0.3526 & 0.363006 \tabularnewline
27 & 0.155255 & 1.0415 & 0.151608 \tabularnewline
28 & -0.048696 & -0.3267 & 0.372718 \tabularnewline
29 & -0.13528 & -0.9075 & 0.184492 \tabularnewline
30 & -0.143539 & -0.9629 & 0.170374 \tabularnewline
31 & -0.040729 & -0.2732 & 0.392967 \tabularnewline
32 & -0.014234 & -0.0955 & 0.462177 \tabularnewline
33 & -0.057204 & -0.3837 & 0.351491 \tabularnewline
34 & 0.045864 & 0.3077 & 0.379878 \tabularnewline
35 & -0.001982 & -0.0133 & 0.494724 \tabularnewline
36 & 0.034004 & 0.2281 & 0.4103 \tabularnewline
37 & -0.047612 & -0.3194 & 0.375455 \tabularnewline
38 & -0.101994 & -0.6842 & 0.24868 \tabularnewline
39 & 0.039771 & 0.2668 & 0.395424 \tabularnewline
40 & -0.079028 & -0.5301 & 0.299311 \tabularnewline
41 & 0.02398 & 0.1609 & 0.436462 \tabularnewline
42 & 0.003401 & 0.0228 & 0.49095 \tabularnewline
43 & -0.006851 & -0.046 & 0.481772 \tabularnewline
44 & -0.085507 & -0.5736 & 0.284548 \tabularnewline
45 & NA & NA & NA \tabularnewline
46 & NA & NA & NA \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=59088&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]-0.606602[/C][C]-4.0692[/C][C]9.4e-05[/C][/ROW]
[ROW][C]2[/C][C]-0.420579[/C][C]-2.8213[/C][C]0.003546[/C][/ROW]
[ROW][C]3[/C][C]0.19884[/C][C]1.3339[/C][C]0.094481[/C][/ROW]
[ROW][C]4[/C][C]0.226572[/C][C]1.5199[/C][C]0.067767[/C][/ROW]
[ROW][C]5[/C][C]0.117756[/C][C]0.7899[/C][C]0.216855[/C][/ROW]
[ROW][C]6[/C][C]0.207405[/C][C]1.3913[/C][C]0.085486[/C][/ROW]
[ROW][C]7[/C][C]-0.081436[/C][C]-0.5463[/C][C]0.293783[/C][/ROW]
[ROW][C]8[/C][C]-0.153829[/C][C]-1.0319[/C][C]0.153813[/C][/ROW]
[ROW][C]9[/C][C]-0.262946[/C][C]-1.7639[/C][C]0.042269[/C][/ROW]
[ROW][C]10[/C][C]-0.044911[/C][C]-0.3013[/C][C]0.382299[/C][/ROW]
[ROW][C]11[/C][C]0.154291[/C][C]1.035[/C][C]0.153097[/C][/ROW]
[ROW][C]12[/C][C]-0.013539[/C][C]-0.0908[/C][C]0.464019[/C][/ROW]
[ROW][C]13[/C][C]-0.040797[/C][C]-0.2737[/C][C]0.392795[/C][/ROW]
[ROW][C]14[/C][C]-0.16316[/C][C]-1.0945[/C][C]0.139778[/C][/ROW]
[ROW][C]15[/C][C]0.212944[/C][C]1.4285[/C][C]0.08003[/C][/ROW]
[ROW][C]16[/C][C]-0.047115[/C][C]-0.3161[/C][C]0.376709[/C][/ROW]
[ROW][C]17[/C][C]-0.008201[/C][C]-0.055[/C][C]0.478186[/C][/ROW]
[ROW][C]18[/C][C]-0.036941[/C][C]-0.2478[/C][C]0.402705[/C][/ROW]
[ROW][C]19[/C][C]-0.140932[/C][C]-0.9454[/C][C]0.174752[/C][/ROW]
[ROW][C]20[/C][C]0.045254[/C][C]0.3036[/C][C]0.381426[/C][/ROW]
[ROW][C]21[/C][C]0.101321[/C][C]0.6797[/C][C]0.250094[/C][/ROW]
[ROW][C]22[/C][C]-0.181114[/C][C]-1.2149[/C][C]0.115361[/C][/ROW]
[ROW][C]23[/C][C]0.079149[/C][C]0.5309[/C][C]0.299033[/C][/ROW]
[ROW][C]24[/C][C]0.009048[/C][C]0.0607[/C][C]0.475934[/C][/ROW]
[ROW][C]25[/C][C]0.070773[/C][C]0.4748[/C][C]0.318627[/C][/ROW]
[ROW][C]26[/C][C]-0.052567[/C][C]-0.3526[/C][C]0.363006[/C][/ROW]
[ROW][C]27[/C][C]0.155255[/C][C]1.0415[/C][C]0.151608[/C][/ROW]
[ROW][C]28[/C][C]-0.048696[/C][C]-0.3267[/C][C]0.372718[/C][/ROW]
[ROW][C]29[/C][C]-0.13528[/C][C]-0.9075[/C][C]0.184492[/C][/ROW]
[ROW][C]30[/C][C]-0.143539[/C][C]-0.9629[/C][C]0.170374[/C][/ROW]
[ROW][C]31[/C][C]-0.040729[/C][C]-0.2732[/C][C]0.392967[/C][/ROW]
[ROW][C]32[/C][C]-0.014234[/C][C]-0.0955[/C][C]0.462177[/C][/ROW]
[ROW][C]33[/C][C]-0.057204[/C][C]-0.3837[/C][C]0.351491[/C][/ROW]
[ROW][C]34[/C][C]0.045864[/C][C]0.3077[/C][C]0.379878[/C][/ROW]
[ROW][C]35[/C][C]-0.001982[/C][C]-0.0133[/C][C]0.494724[/C][/ROW]
[ROW][C]36[/C][C]0.034004[/C][C]0.2281[/C][C]0.4103[/C][/ROW]
[ROW][C]37[/C][C]-0.047612[/C][C]-0.3194[/C][C]0.375455[/C][/ROW]
[ROW][C]38[/C][C]-0.101994[/C][C]-0.6842[/C][C]0.24868[/C][/ROW]
[ROW][C]39[/C][C]0.039771[/C][C]0.2668[/C][C]0.395424[/C][/ROW]
[ROW][C]40[/C][C]-0.079028[/C][C]-0.5301[/C][C]0.299311[/C][/ROW]
[ROW][C]41[/C][C]0.02398[/C][C]0.1609[/C][C]0.436462[/C][/ROW]
[ROW][C]42[/C][C]0.003401[/C][C]0.0228[/C][C]0.49095[/C][/ROW]
[ROW][C]43[/C][C]-0.006851[/C][C]-0.046[/C][C]0.481772[/C][/ROW]
[ROW][C]44[/C][C]-0.085507[/C][C]-0.5736[/C][C]0.284548[/C][/ROW]
[ROW][C]45[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]46[/C][C]NA[/C][C]NA[/C][C]NA[/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=59088&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=59088&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
1-0.606602-4.06929.4e-05
2-0.420579-2.82130.003546
30.198841.33390.094481
40.2265721.51990.067767
50.1177560.78990.216855
60.2074051.39130.085486
7-0.081436-0.54630.293783
8-0.153829-1.03190.153813
9-0.262946-1.76390.042269
10-0.044911-0.30130.382299
110.1542911.0350.153097
12-0.013539-0.09080.464019
13-0.040797-0.27370.392795
14-0.16316-1.09450.139778
150.2129441.42850.08003
16-0.047115-0.31610.376709
17-0.008201-0.0550.478186
18-0.036941-0.24780.402705
19-0.140932-0.94540.174752
200.0452540.30360.381426
210.1013210.67970.250094
22-0.181114-1.21490.115361
230.0791490.53090.299033
240.0090480.06070.475934
250.0707730.47480.318627
26-0.052567-0.35260.363006
270.1552551.04150.151608
28-0.048696-0.32670.372718
29-0.13528-0.90750.184492
30-0.143539-0.96290.170374
31-0.040729-0.27320.392967
32-0.014234-0.09550.462177
33-0.057204-0.38370.351491
340.0458640.30770.379878
35-0.001982-0.01330.494724
360.0340040.22810.4103
37-0.047612-0.31940.375455
38-0.101994-0.68420.24868
390.0397710.26680.395424
40-0.079028-0.53010.299311
410.023980.16090.436462
420.0034010.02280.49095
43-0.006851-0.0460.481772
44-0.085507-0.57360.284548
45NANANA
46NANANA
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 2 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 2 ; par5 = 12 ; par6 = White Noise ; 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')