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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationSun, 21 Dec 2008 09:59:39 -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/t1229878821uz3ofocjaeuat1p.htm/, Retrieved Tue, 28 May 2024 12:28:15 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=35687, Retrieved Tue, 28 May 2024 12:28:15 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact132
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [] [2008-12-21 16:59:39] [a2d5a6282476ec2b5afae6fb53d308f8] [Current]
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Dataseries X:
87.0
96.3
107.1
115.2
106.1
89.5
91.3
97.6
100.7
104.6
94.7
101.8
102.5
105.3
110.3
109.8
117.3
118.8
131.3
125.9
133.1
147.0
145.8
164.4
149.8
137.7
151.7
156.8
180.0
180.4
170.4
191.6
199.5
218.2
217.5
205.0
194.0
199.3
219.3
211.1
215.2
240.2
242.2
240.7
255.4
253.0
218.2
203.7
205.6
215.6
188.5
202.9
214.0
230.3
230.0
241.0
259.6
247.8
270.3
289.7




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=35687&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=35687&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35687&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
10.0029910.0230.490875
2-0.165491-1.27120.10433
3-0.089633-0.68850.246924
4-0.099115-0.76130.224751
50.2039191.56630.06131
6-0.124029-0.95270.172318
70.0360770.27710.391331
8-0.163181-1.25340.1075
9-0.18878-1.450.076171
100.2115491.62490.054753
110.0974090.74820.228653
12-0.004257-0.03270.487012
13-0.169962-1.30550.098395
140.020630.15850.437316
150.151791.16590.12417
16-0.164955-1.2670.10506
17-0.026944-0.2070.418377
18-0.102733-0.78910.216605
19-0.094927-0.72910.234399
200.234461.80090.038413
210.045230.34740.364756
22-0.050338-0.38670.350202
23-0.174249-1.33840.092946
24-0.069059-0.53050.298895
250.1759621.35160.090833
260.0263020.2020.420295
27-0.037863-0.29080.3861
28-0.106663-0.81930.207958
29-0.09283-0.7130.239315
300.1381241.0610.146518
310.0873960.67130.252325
320.0024980.01920.492378
33-0.036367-0.27930.390481
34-0.131193-1.00770.158853
350.07050.54150.295094
36-0.021957-0.16870.433323
370.0160950.12360.451015
380.0660710.50750.306847
39-0.079389-0.60980.27217
400.0946980.72740.234932
410.0849660.65260.258264
420.133151.02270.155302
43-0.039341-0.30220.381788
44-0.062334-0.47880.316927
450.0295230.22680.410692
46-0.029967-0.23020.409373
47-0.025041-0.19230.424065
48-0.089732-0.68920.246685
49-0.035472-0.27250.393108
500.0189120.14530.442497
51-0.01099-0.08440.466507
520.0448130.34420.365955
53-0.008422-0.06470.47432
54-0.043553-0.33450.36958
55-0.009789-0.07520.470158
560.0096370.0740.470621
570.0324370.24920.402055
580.0134150.1030.45914
59NANANA
60NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.002991 & 0.023 & 0.490875 \tabularnewline
2 & -0.165491 & -1.2712 & 0.10433 \tabularnewline
3 & -0.089633 & -0.6885 & 0.246924 \tabularnewline
4 & -0.099115 & -0.7613 & 0.224751 \tabularnewline
5 & 0.203919 & 1.5663 & 0.06131 \tabularnewline
6 & -0.124029 & -0.9527 & 0.172318 \tabularnewline
7 & 0.036077 & 0.2771 & 0.391331 \tabularnewline
8 & -0.163181 & -1.2534 & 0.1075 \tabularnewline
9 & -0.18878 & -1.45 & 0.076171 \tabularnewline
10 & 0.211549 & 1.6249 & 0.054753 \tabularnewline
11 & 0.097409 & 0.7482 & 0.228653 \tabularnewline
12 & -0.004257 & -0.0327 & 0.487012 \tabularnewline
13 & -0.169962 & -1.3055 & 0.098395 \tabularnewline
14 & 0.02063 & 0.1585 & 0.437316 \tabularnewline
15 & 0.15179 & 1.1659 & 0.12417 \tabularnewline
16 & -0.164955 & -1.267 & 0.10506 \tabularnewline
17 & -0.026944 & -0.207 & 0.418377 \tabularnewline
18 & -0.102733 & -0.7891 & 0.216605 \tabularnewline
19 & -0.094927 & -0.7291 & 0.234399 \tabularnewline
20 & 0.23446 & 1.8009 & 0.038413 \tabularnewline
21 & 0.04523 & 0.3474 & 0.364756 \tabularnewline
22 & -0.050338 & -0.3867 & 0.350202 \tabularnewline
23 & -0.174249 & -1.3384 & 0.092946 \tabularnewline
24 & -0.069059 & -0.5305 & 0.298895 \tabularnewline
25 & 0.175962 & 1.3516 & 0.090833 \tabularnewline
26 & 0.026302 & 0.202 & 0.420295 \tabularnewline
27 & -0.037863 & -0.2908 & 0.3861 \tabularnewline
28 & -0.106663 & -0.8193 & 0.207958 \tabularnewline
29 & -0.09283 & -0.713 & 0.239315 \tabularnewline
30 & 0.138124 & 1.061 & 0.146518 \tabularnewline
31 & 0.087396 & 0.6713 & 0.252325 \tabularnewline
32 & 0.002498 & 0.0192 & 0.492378 \tabularnewline
33 & -0.036367 & -0.2793 & 0.390481 \tabularnewline
34 & -0.131193 & -1.0077 & 0.158853 \tabularnewline
35 & 0.0705 & 0.5415 & 0.295094 \tabularnewline
36 & -0.021957 & -0.1687 & 0.433323 \tabularnewline
37 & 0.016095 & 0.1236 & 0.451015 \tabularnewline
38 & 0.066071 & 0.5075 & 0.306847 \tabularnewline
39 & -0.079389 & -0.6098 & 0.27217 \tabularnewline
40 & 0.094698 & 0.7274 & 0.234932 \tabularnewline
41 & 0.084966 & 0.6526 & 0.258264 \tabularnewline
42 & 0.13315 & 1.0227 & 0.155302 \tabularnewline
43 & -0.039341 & -0.3022 & 0.381788 \tabularnewline
44 & -0.062334 & -0.4788 & 0.316927 \tabularnewline
45 & 0.029523 & 0.2268 & 0.410692 \tabularnewline
46 & -0.029967 & -0.2302 & 0.409373 \tabularnewline
47 & -0.025041 & -0.1923 & 0.424065 \tabularnewline
48 & -0.089732 & -0.6892 & 0.246685 \tabularnewline
49 & -0.035472 & -0.2725 & 0.393108 \tabularnewline
50 & 0.018912 & 0.1453 & 0.442497 \tabularnewline
51 & -0.01099 & -0.0844 & 0.466507 \tabularnewline
52 & 0.044813 & 0.3442 & 0.365955 \tabularnewline
53 & -0.008422 & -0.0647 & 0.47432 \tabularnewline
54 & -0.043553 & -0.3345 & 0.36958 \tabularnewline
55 & -0.009789 & -0.0752 & 0.470158 \tabularnewline
56 & 0.009637 & 0.074 & 0.470621 \tabularnewline
57 & 0.032437 & 0.2492 & 0.402055 \tabularnewline
58 & 0.013415 & 0.103 & 0.45914 \tabularnewline
59 & NA & NA & NA \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35687&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]0.002991[/C][C]0.023[/C][C]0.490875[/C][/ROW]
[ROW][C]2[/C][C]-0.165491[/C][C]-1.2712[/C][C]0.10433[/C][/ROW]
[ROW][C]3[/C][C]-0.089633[/C][C]-0.6885[/C][C]0.246924[/C][/ROW]
[ROW][C]4[/C][C]-0.099115[/C][C]-0.7613[/C][C]0.224751[/C][/ROW]
[ROW][C]5[/C][C]0.203919[/C][C]1.5663[/C][C]0.06131[/C][/ROW]
[ROW][C]6[/C][C]-0.124029[/C][C]-0.9527[/C][C]0.172318[/C][/ROW]
[ROW][C]7[/C][C]0.036077[/C][C]0.2771[/C][C]0.391331[/C][/ROW]
[ROW][C]8[/C][C]-0.163181[/C][C]-1.2534[/C][C]0.1075[/C][/ROW]
[ROW][C]9[/C][C]-0.18878[/C][C]-1.45[/C][C]0.076171[/C][/ROW]
[ROW][C]10[/C][C]0.211549[/C][C]1.6249[/C][C]0.054753[/C][/ROW]
[ROW][C]11[/C][C]0.097409[/C][C]0.7482[/C][C]0.228653[/C][/ROW]
[ROW][C]12[/C][C]-0.004257[/C][C]-0.0327[/C][C]0.487012[/C][/ROW]
[ROW][C]13[/C][C]-0.169962[/C][C]-1.3055[/C][C]0.098395[/C][/ROW]
[ROW][C]14[/C][C]0.02063[/C][C]0.1585[/C][C]0.437316[/C][/ROW]
[ROW][C]15[/C][C]0.15179[/C][C]1.1659[/C][C]0.12417[/C][/ROW]
[ROW][C]16[/C][C]-0.164955[/C][C]-1.267[/C][C]0.10506[/C][/ROW]
[ROW][C]17[/C][C]-0.026944[/C][C]-0.207[/C][C]0.418377[/C][/ROW]
[ROW][C]18[/C][C]-0.102733[/C][C]-0.7891[/C][C]0.216605[/C][/ROW]
[ROW][C]19[/C][C]-0.094927[/C][C]-0.7291[/C][C]0.234399[/C][/ROW]
[ROW][C]20[/C][C]0.23446[/C][C]1.8009[/C][C]0.038413[/C][/ROW]
[ROW][C]21[/C][C]0.04523[/C][C]0.3474[/C][C]0.364756[/C][/ROW]
[ROW][C]22[/C][C]-0.050338[/C][C]-0.3867[/C][C]0.350202[/C][/ROW]
[ROW][C]23[/C][C]-0.174249[/C][C]-1.3384[/C][C]0.092946[/C][/ROW]
[ROW][C]24[/C][C]-0.069059[/C][C]-0.5305[/C][C]0.298895[/C][/ROW]
[ROW][C]25[/C][C]0.175962[/C][C]1.3516[/C][C]0.090833[/C][/ROW]
[ROW][C]26[/C][C]0.026302[/C][C]0.202[/C][C]0.420295[/C][/ROW]
[ROW][C]27[/C][C]-0.037863[/C][C]-0.2908[/C][C]0.3861[/C][/ROW]
[ROW][C]28[/C][C]-0.106663[/C][C]-0.8193[/C][C]0.207958[/C][/ROW]
[ROW][C]29[/C][C]-0.09283[/C][C]-0.713[/C][C]0.239315[/C][/ROW]
[ROW][C]30[/C][C]0.138124[/C][C]1.061[/C][C]0.146518[/C][/ROW]
[ROW][C]31[/C][C]0.087396[/C][C]0.6713[/C][C]0.252325[/C][/ROW]
[ROW][C]32[/C][C]0.002498[/C][C]0.0192[/C][C]0.492378[/C][/ROW]
[ROW][C]33[/C][C]-0.036367[/C][C]-0.2793[/C][C]0.390481[/C][/ROW]
[ROW][C]34[/C][C]-0.131193[/C][C]-1.0077[/C][C]0.158853[/C][/ROW]
[ROW][C]35[/C][C]0.0705[/C][C]0.5415[/C][C]0.295094[/C][/ROW]
[ROW][C]36[/C][C]-0.021957[/C][C]-0.1687[/C][C]0.433323[/C][/ROW]
[ROW][C]37[/C][C]0.016095[/C][C]0.1236[/C][C]0.451015[/C][/ROW]
[ROW][C]38[/C][C]0.066071[/C][C]0.5075[/C][C]0.306847[/C][/ROW]
[ROW][C]39[/C][C]-0.079389[/C][C]-0.6098[/C][C]0.27217[/C][/ROW]
[ROW][C]40[/C][C]0.094698[/C][C]0.7274[/C][C]0.234932[/C][/ROW]
[ROW][C]41[/C][C]0.084966[/C][C]0.6526[/C][C]0.258264[/C][/ROW]
[ROW][C]42[/C][C]0.13315[/C][C]1.0227[/C][C]0.155302[/C][/ROW]
[ROW][C]43[/C][C]-0.039341[/C][C]-0.3022[/C][C]0.381788[/C][/ROW]
[ROW][C]44[/C][C]-0.062334[/C][C]-0.4788[/C][C]0.316927[/C][/ROW]
[ROW][C]45[/C][C]0.029523[/C][C]0.2268[/C][C]0.410692[/C][/ROW]
[ROW][C]46[/C][C]-0.029967[/C][C]-0.2302[/C][C]0.409373[/C][/ROW]
[ROW][C]47[/C][C]-0.025041[/C][C]-0.1923[/C][C]0.424065[/C][/ROW]
[ROW][C]48[/C][C]-0.089732[/C][C]-0.6892[/C][C]0.246685[/C][/ROW]
[ROW][C]49[/C][C]-0.035472[/C][C]-0.2725[/C][C]0.393108[/C][/ROW]
[ROW][C]50[/C][C]0.018912[/C][C]0.1453[/C][C]0.442497[/C][/ROW]
[ROW][C]51[/C][C]-0.01099[/C][C]-0.0844[/C][C]0.466507[/C][/ROW]
[ROW][C]52[/C][C]0.044813[/C][C]0.3442[/C][C]0.365955[/C][/ROW]
[ROW][C]53[/C][C]-0.008422[/C][C]-0.0647[/C][C]0.47432[/C][/ROW]
[ROW][C]54[/C][C]-0.043553[/C][C]-0.3345[/C][C]0.36958[/C][/ROW]
[ROW][C]55[/C][C]-0.009789[/C][C]-0.0752[/C][C]0.470158[/C][/ROW]
[ROW][C]56[/C][C]0.009637[/C][C]0.074[/C][C]0.470621[/C][/ROW]
[ROW][C]57[/C][C]0.032437[/C][C]0.2492[/C][C]0.402055[/C][/ROW]
[ROW][C]58[/C][C]0.013415[/C][C]0.103[/C][C]0.45914[/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=35687&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35687&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
10.0029910.0230.490875
2-0.165491-1.27120.10433
3-0.089633-0.68850.246924
4-0.099115-0.76130.224751
50.2039191.56630.06131
6-0.124029-0.95270.172318
70.0360770.27710.391331
8-0.163181-1.25340.1075
9-0.18878-1.450.076171
100.2115491.62490.054753
110.0974090.74820.228653
12-0.004257-0.03270.487012
13-0.169962-1.30550.098395
140.020630.15850.437316
150.151791.16590.12417
16-0.164955-1.2670.10506
17-0.026944-0.2070.418377
18-0.102733-0.78910.216605
19-0.094927-0.72910.234399
200.234461.80090.038413
210.045230.34740.364756
22-0.050338-0.38670.350202
23-0.174249-1.33840.092946
24-0.069059-0.53050.298895
250.1759621.35160.090833
260.0263020.2020.420295
27-0.037863-0.29080.3861
28-0.106663-0.81930.207958
29-0.09283-0.7130.239315
300.1381241.0610.146518
310.0873960.67130.252325
320.0024980.01920.492378
33-0.036367-0.27930.390481
34-0.131193-1.00770.158853
350.07050.54150.295094
36-0.021957-0.16870.433323
370.0160950.12360.451015
380.0660710.50750.306847
39-0.079389-0.60980.27217
400.0946980.72740.234932
410.0849660.65260.258264
420.133151.02270.155302
43-0.039341-0.30220.381788
44-0.062334-0.47880.316927
450.0295230.22680.410692
46-0.029967-0.23020.409373
47-0.025041-0.19230.424065
48-0.089732-0.68920.246685
49-0.035472-0.27250.393108
500.0189120.14530.442497
51-0.01099-0.08440.466507
520.0448130.34420.365955
53-0.008422-0.06470.47432
54-0.043553-0.33450.36958
55-0.009789-0.07520.470158
560.0096370.0740.470621
570.0324370.24920.402055
580.0134150.1030.45914
59NANANA
60NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.0029910.0230.490875
2-0.165501-1.27120.104316
3-0.091056-0.69940.243521
4-0.131895-1.01310.157574
50.1792591.37690.08687
6-0.183019-1.40580.082515
70.1000590.76860.222608
8-0.237722-1.8260.036457
9-0.13686-1.05120.148717
100.0923510.70940.240448
110.0884590.67950.249749
12-0.081544-0.62630.266751
13-0.087585-0.67280.251865
140.0741170.56930.285657
150.0373150.28660.387704
16-0.207188-1.59140.058427
17-0.05347-0.41070.341385
18-0.117191-0.90020.185848
19-0.097883-0.75190.227564
200.2004331.53960.064508
21-0.025259-0.1940.423413
22-0.151288-1.16210.124944
23-0.064734-0.49720.310436
24-0.061827-0.47490.318306
25-0.083481-0.64120.261928
260.0113210.0870.465498
27-0.068047-0.52270.301578
28-0.067735-0.52030.302408
29-0.066658-0.5120.305276
300.0712830.54750.293039
31-0.088514-0.67990.249618
32-0.114646-0.88060.19105
330.092550.71090.239976
34-0.165215-1.2690.104705
35-0.10557-0.81090.210342
36-0.066957-0.51430.304479
37-0.041878-0.32170.374419
380.0202010.15520.43861
390.0191680.14720.441726
40-0.080616-0.61920.269078
410.0182280.140.444563
420.1786131.3720.087636
43-0.033133-0.25450.399997
440.0057880.04450.482345
45-0.07709-0.59210.278011
460.0406230.3120.378059
47-0.09872-0.75830.225651
48-0.028592-0.21960.413462
49-0.008194-0.06290.475014
50-0.066234-0.50880.306411
51-0.047397-0.36410.358556
52-0.028447-0.21850.413896
53-0.124752-0.95820.170927
540.0136010.10450.458576
55-0.045304-0.3480.364543
56-0.07489-0.57520.283658
57-0.002512-0.01930.492335
580.0451080.34650.365107
59NANANA
60NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.002991 & 0.023 & 0.490875 \tabularnewline
2 & -0.165501 & -1.2712 & 0.104316 \tabularnewline
3 & -0.091056 & -0.6994 & 0.243521 \tabularnewline
4 & -0.131895 & -1.0131 & 0.157574 \tabularnewline
5 & 0.179259 & 1.3769 & 0.08687 \tabularnewline
6 & -0.183019 & -1.4058 & 0.082515 \tabularnewline
7 & 0.100059 & 0.7686 & 0.222608 \tabularnewline
8 & -0.237722 & -1.826 & 0.036457 \tabularnewline
9 & -0.13686 & -1.0512 & 0.148717 \tabularnewline
10 & 0.092351 & 0.7094 & 0.240448 \tabularnewline
11 & 0.088459 & 0.6795 & 0.249749 \tabularnewline
12 & -0.081544 & -0.6263 & 0.266751 \tabularnewline
13 & -0.087585 & -0.6728 & 0.251865 \tabularnewline
14 & 0.074117 & 0.5693 & 0.285657 \tabularnewline
15 & 0.037315 & 0.2866 & 0.387704 \tabularnewline
16 & -0.207188 & -1.5914 & 0.058427 \tabularnewline
17 & -0.05347 & -0.4107 & 0.341385 \tabularnewline
18 & -0.117191 & -0.9002 & 0.185848 \tabularnewline
19 & -0.097883 & -0.7519 & 0.227564 \tabularnewline
20 & 0.200433 & 1.5396 & 0.064508 \tabularnewline
21 & -0.025259 & -0.194 & 0.423413 \tabularnewline
22 & -0.151288 & -1.1621 & 0.124944 \tabularnewline
23 & -0.064734 & -0.4972 & 0.310436 \tabularnewline
24 & -0.061827 & -0.4749 & 0.318306 \tabularnewline
25 & -0.083481 & -0.6412 & 0.261928 \tabularnewline
26 & 0.011321 & 0.087 & 0.465498 \tabularnewline
27 & -0.068047 & -0.5227 & 0.301578 \tabularnewline
28 & -0.067735 & -0.5203 & 0.302408 \tabularnewline
29 & -0.066658 & -0.512 & 0.305276 \tabularnewline
30 & 0.071283 & 0.5475 & 0.293039 \tabularnewline
31 & -0.088514 & -0.6799 & 0.249618 \tabularnewline
32 & -0.114646 & -0.8806 & 0.19105 \tabularnewline
33 & 0.09255 & 0.7109 & 0.239976 \tabularnewline
34 & -0.165215 & -1.269 & 0.104705 \tabularnewline
35 & -0.10557 & -0.8109 & 0.210342 \tabularnewline
36 & -0.066957 & -0.5143 & 0.304479 \tabularnewline
37 & -0.041878 & -0.3217 & 0.374419 \tabularnewline
38 & 0.020201 & 0.1552 & 0.43861 \tabularnewline
39 & 0.019168 & 0.1472 & 0.441726 \tabularnewline
40 & -0.080616 & -0.6192 & 0.269078 \tabularnewline
41 & 0.018228 & 0.14 & 0.444563 \tabularnewline
42 & 0.178613 & 1.372 & 0.087636 \tabularnewline
43 & -0.033133 & -0.2545 & 0.399997 \tabularnewline
44 & 0.005788 & 0.0445 & 0.482345 \tabularnewline
45 & -0.07709 & -0.5921 & 0.278011 \tabularnewline
46 & 0.040623 & 0.312 & 0.378059 \tabularnewline
47 & -0.09872 & -0.7583 & 0.225651 \tabularnewline
48 & -0.028592 & -0.2196 & 0.413462 \tabularnewline
49 & -0.008194 & -0.0629 & 0.475014 \tabularnewline
50 & -0.066234 & -0.5088 & 0.306411 \tabularnewline
51 & -0.047397 & -0.3641 & 0.358556 \tabularnewline
52 & -0.028447 & -0.2185 & 0.413896 \tabularnewline
53 & -0.124752 & -0.9582 & 0.170927 \tabularnewline
54 & 0.013601 & 0.1045 & 0.458576 \tabularnewline
55 & -0.045304 & -0.348 & 0.364543 \tabularnewline
56 & -0.07489 & -0.5752 & 0.283658 \tabularnewline
57 & -0.002512 & -0.0193 & 0.492335 \tabularnewline
58 & 0.045108 & 0.3465 & 0.365107 \tabularnewline
59 & NA & NA & NA \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35687&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]0.002991[/C][C]0.023[/C][C]0.490875[/C][/ROW]
[ROW][C]2[/C][C]-0.165501[/C][C]-1.2712[/C][C]0.104316[/C][/ROW]
[ROW][C]3[/C][C]-0.091056[/C][C]-0.6994[/C][C]0.243521[/C][/ROW]
[ROW][C]4[/C][C]-0.131895[/C][C]-1.0131[/C][C]0.157574[/C][/ROW]
[ROW][C]5[/C][C]0.179259[/C][C]1.3769[/C][C]0.08687[/C][/ROW]
[ROW][C]6[/C][C]-0.183019[/C][C]-1.4058[/C][C]0.082515[/C][/ROW]
[ROW][C]7[/C][C]0.100059[/C][C]0.7686[/C][C]0.222608[/C][/ROW]
[ROW][C]8[/C][C]-0.237722[/C][C]-1.826[/C][C]0.036457[/C][/ROW]
[ROW][C]9[/C][C]-0.13686[/C][C]-1.0512[/C][C]0.148717[/C][/ROW]
[ROW][C]10[/C][C]0.092351[/C][C]0.7094[/C][C]0.240448[/C][/ROW]
[ROW][C]11[/C][C]0.088459[/C][C]0.6795[/C][C]0.249749[/C][/ROW]
[ROW][C]12[/C][C]-0.081544[/C][C]-0.6263[/C][C]0.266751[/C][/ROW]
[ROW][C]13[/C][C]-0.087585[/C][C]-0.6728[/C][C]0.251865[/C][/ROW]
[ROW][C]14[/C][C]0.074117[/C][C]0.5693[/C][C]0.285657[/C][/ROW]
[ROW][C]15[/C][C]0.037315[/C][C]0.2866[/C][C]0.387704[/C][/ROW]
[ROW][C]16[/C][C]-0.207188[/C][C]-1.5914[/C][C]0.058427[/C][/ROW]
[ROW][C]17[/C][C]-0.05347[/C][C]-0.4107[/C][C]0.341385[/C][/ROW]
[ROW][C]18[/C][C]-0.117191[/C][C]-0.9002[/C][C]0.185848[/C][/ROW]
[ROW][C]19[/C][C]-0.097883[/C][C]-0.7519[/C][C]0.227564[/C][/ROW]
[ROW][C]20[/C][C]0.200433[/C][C]1.5396[/C][C]0.064508[/C][/ROW]
[ROW][C]21[/C][C]-0.025259[/C][C]-0.194[/C][C]0.423413[/C][/ROW]
[ROW][C]22[/C][C]-0.151288[/C][C]-1.1621[/C][C]0.124944[/C][/ROW]
[ROW][C]23[/C][C]-0.064734[/C][C]-0.4972[/C][C]0.310436[/C][/ROW]
[ROW][C]24[/C][C]-0.061827[/C][C]-0.4749[/C][C]0.318306[/C][/ROW]
[ROW][C]25[/C][C]-0.083481[/C][C]-0.6412[/C][C]0.261928[/C][/ROW]
[ROW][C]26[/C][C]0.011321[/C][C]0.087[/C][C]0.465498[/C][/ROW]
[ROW][C]27[/C][C]-0.068047[/C][C]-0.5227[/C][C]0.301578[/C][/ROW]
[ROW][C]28[/C][C]-0.067735[/C][C]-0.5203[/C][C]0.302408[/C][/ROW]
[ROW][C]29[/C][C]-0.066658[/C][C]-0.512[/C][C]0.305276[/C][/ROW]
[ROW][C]30[/C][C]0.071283[/C][C]0.5475[/C][C]0.293039[/C][/ROW]
[ROW][C]31[/C][C]-0.088514[/C][C]-0.6799[/C][C]0.249618[/C][/ROW]
[ROW][C]32[/C][C]-0.114646[/C][C]-0.8806[/C][C]0.19105[/C][/ROW]
[ROW][C]33[/C][C]0.09255[/C][C]0.7109[/C][C]0.239976[/C][/ROW]
[ROW][C]34[/C][C]-0.165215[/C][C]-1.269[/C][C]0.104705[/C][/ROW]
[ROW][C]35[/C][C]-0.10557[/C][C]-0.8109[/C][C]0.210342[/C][/ROW]
[ROW][C]36[/C][C]-0.066957[/C][C]-0.5143[/C][C]0.304479[/C][/ROW]
[ROW][C]37[/C][C]-0.041878[/C][C]-0.3217[/C][C]0.374419[/C][/ROW]
[ROW][C]38[/C][C]0.020201[/C][C]0.1552[/C][C]0.43861[/C][/ROW]
[ROW][C]39[/C][C]0.019168[/C][C]0.1472[/C][C]0.441726[/C][/ROW]
[ROW][C]40[/C][C]-0.080616[/C][C]-0.6192[/C][C]0.269078[/C][/ROW]
[ROW][C]41[/C][C]0.018228[/C][C]0.14[/C][C]0.444563[/C][/ROW]
[ROW][C]42[/C][C]0.178613[/C][C]1.372[/C][C]0.087636[/C][/ROW]
[ROW][C]43[/C][C]-0.033133[/C][C]-0.2545[/C][C]0.399997[/C][/ROW]
[ROW][C]44[/C][C]0.005788[/C][C]0.0445[/C][C]0.482345[/C][/ROW]
[ROW][C]45[/C][C]-0.07709[/C][C]-0.5921[/C][C]0.278011[/C][/ROW]
[ROW][C]46[/C][C]0.040623[/C][C]0.312[/C][C]0.378059[/C][/ROW]
[ROW][C]47[/C][C]-0.09872[/C][C]-0.7583[/C][C]0.225651[/C][/ROW]
[ROW][C]48[/C][C]-0.028592[/C][C]-0.2196[/C][C]0.413462[/C][/ROW]
[ROW][C]49[/C][C]-0.008194[/C][C]-0.0629[/C][C]0.475014[/C][/ROW]
[ROW][C]50[/C][C]-0.066234[/C][C]-0.5088[/C][C]0.306411[/C][/ROW]
[ROW][C]51[/C][C]-0.047397[/C][C]-0.3641[/C][C]0.358556[/C][/ROW]
[ROW][C]52[/C][C]-0.028447[/C][C]-0.2185[/C][C]0.413896[/C][/ROW]
[ROW][C]53[/C][C]-0.124752[/C][C]-0.9582[/C][C]0.170927[/C][/ROW]
[ROW][C]54[/C][C]0.013601[/C][C]0.1045[/C][C]0.458576[/C][/ROW]
[ROW][C]55[/C][C]-0.045304[/C][C]-0.348[/C][C]0.364543[/C][/ROW]
[ROW][C]56[/C][C]-0.07489[/C][C]-0.5752[/C][C]0.283658[/C][/ROW]
[ROW][C]57[/C][C]-0.002512[/C][C]-0.0193[/C][C]0.492335[/C][/ROW]
[ROW][C]58[/C][C]0.045108[/C][C]0.3465[/C][C]0.365107[/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=35687&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35687&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
10.0029910.0230.490875
2-0.165501-1.27120.104316
3-0.091056-0.69940.243521
4-0.131895-1.01310.157574
50.1792591.37690.08687
6-0.183019-1.40580.082515
70.1000590.76860.222608
8-0.237722-1.8260.036457
9-0.13686-1.05120.148717
100.0923510.70940.240448
110.0884590.67950.249749
12-0.081544-0.62630.266751
13-0.087585-0.67280.251865
140.0741170.56930.285657
150.0373150.28660.387704
16-0.207188-1.59140.058427
17-0.05347-0.41070.341385
18-0.117191-0.90020.185848
19-0.097883-0.75190.227564
200.2004331.53960.064508
21-0.025259-0.1940.423413
22-0.151288-1.16210.124944
23-0.064734-0.49720.310436
24-0.061827-0.47490.318306
25-0.083481-0.64120.261928
260.0113210.0870.465498
27-0.068047-0.52270.301578
28-0.067735-0.52030.302408
29-0.066658-0.5120.305276
300.0712830.54750.293039
31-0.088514-0.67990.249618
32-0.114646-0.88060.19105
330.092550.71090.239976
34-0.165215-1.2690.104705
35-0.10557-0.81090.210342
36-0.066957-0.51430.304479
37-0.041878-0.32170.374419
380.0202010.15520.43861
390.0191680.14720.441726
40-0.080616-0.61920.269078
410.0182280.140.444563
420.1786131.3720.087636
43-0.033133-0.25450.399997
440.0057880.04450.482345
45-0.07709-0.59210.278011
460.0406230.3120.378059
47-0.09872-0.75830.225651
48-0.028592-0.21960.413462
49-0.008194-0.06290.475014
50-0.066234-0.50880.306411
51-0.047397-0.36410.358556
52-0.028447-0.21850.413896
53-0.124752-0.95820.170927
540.0136010.10450.458576
55-0.045304-0.3480.364543
56-0.07489-0.57520.283658
57-0.002512-0.01930.492335
580.0451080.34650.365107
59NANANA
60NANANA



Parameters (Session):
par1 = 60 ; par2 = 0.0 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = 0.0 ; par3 = 1 ; par4 = 0 ; 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')