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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationMon, 02 Dec 2013 13:08:30 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Dec/02/t13860078002wcs1qzhd6pav22.htm/, Retrieved Fri, 29 Mar 2024 13:27:02 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=230051, Retrieved Fri, 29 Mar 2024 13:27:02 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact96
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [(Partial) Autocorrelation Function] [Autocorrelatie Aa...] [2013-11-18 09:07:59] [f7b841fbfb9aee7107966c768cf3d1a3]
- R PD    [(Partial) Autocorrelation Function] [Autocorrelatie ge...] [2013-12-02 18:08:30] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
6715
7703
9856
8326
9269
7035
10342
11682
10304
11385
9777
8882
7897
6930
9545
9110
7459
7320
10017
12307
11072
10749
9589
9080
7384
8062
8511
8684
8306
7643
10577
13747
11783
11611
9946
8693
7303
7609
9423
8584
7586
6843
11811
13414
12103
11501
8213
7982
7687
7180
7862
8043
8340
6692
10065
12684
11587
9843
8110
7940
6475
6121
9669
7778
7826
7403
10741
14023
11519
10236
8075
8157




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time6 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 6 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=230051&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]6 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=230051&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=230051&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 time6 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.0401860.33860.367951
2-0.197297-1.66250.050416
3-0.222225-1.87250.032628
4-0.097854-0.82450.206199
50.1474061.24210.10915
6-0.248766-2.09610.019817
70.0456260.38450.350896
8-0.059955-0.50520.307496
9-0.227849-1.91990.029445
10-0.094483-0.79610.214306
110.1402961.18220.120545
120.6249375.26581e-06
130.1325091.11650.133977
14-0.183967-1.55010.062778
15-0.224981-1.89570.031034
16-0.086951-0.73270.233089
170.1442571.21550.114095
18-0.196635-1.65690.050979
190.0276040.23260.408374
20-0.071786-0.60490.273593
21-0.120228-1.01310.157236
22-0.090162-0.75970.224969
230.0921080.77610.22013
240.5504244.6388e-06
250.1126760.94940.172813
26-0.220695-1.85960.033542
27-0.197218-1.66180.050483
28-0.04396-0.37040.356089
290.1522141.28260.101905
30-0.14432-1.21610.113995
310.0083830.07060.471943
32-0.100079-0.84330.200951
33-0.037736-0.3180.375721
34-0.042456-0.35770.360799
350.057740.48650.314045
360.3852413.24610.000893
370.028480.240.405519
38-0.121292-1.0220.15512
39-0.174024-1.46640.073484
40-0.013312-0.11220.455502
410.1327491.11860.133549
42-0.098011-0.82590.205826
43-0.013083-0.11020.456264
44-0.049228-0.41480.339769
45-0.02358-0.19870.421537
46-0.025854-0.21790.414085
470.0164430.13850.445099
480.2536722.13750.018002
49-0.007913-0.06670.473512
50-0.067134-0.56570.286696
51-0.135192-1.13920.129235
520.0107710.09080.463969
530.122271.03030.153192
54-0.086559-0.72940.234091
550.0071370.06010.476106
56-0.033255-0.28020.390064
57-0.043253-0.36450.358299
580.0476460.40150.344638
59-0.044202-0.37250.355332
600.1444711.21730.113755

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.040186 & 0.3386 & 0.367951 \tabularnewline
2 & -0.197297 & -1.6625 & 0.050416 \tabularnewline
3 & -0.222225 & -1.8725 & 0.032628 \tabularnewline
4 & -0.097854 & -0.8245 & 0.206199 \tabularnewline
5 & 0.147406 & 1.2421 & 0.10915 \tabularnewline
6 & -0.248766 & -2.0961 & 0.019817 \tabularnewline
7 & 0.045626 & 0.3845 & 0.350896 \tabularnewline
8 & -0.059955 & -0.5052 & 0.307496 \tabularnewline
9 & -0.227849 & -1.9199 & 0.029445 \tabularnewline
10 & -0.094483 & -0.7961 & 0.214306 \tabularnewline
11 & 0.140296 & 1.1822 & 0.120545 \tabularnewline
12 & 0.624937 & 5.2658 & 1e-06 \tabularnewline
13 & 0.132509 & 1.1165 & 0.133977 \tabularnewline
14 & -0.183967 & -1.5501 & 0.062778 \tabularnewline
15 & -0.224981 & -1.8957 & 0.031034 \tabularnewline
16 & -0.086951 & -0.7327 & 0.233089 \tabularnewline
17 & 0.144257 & 1.2155 & 0.114095 \tabularnewline
18 & -0.196635 & -1.6569 & 0.050979 \tabularnewline
19 & 0.027604 & 0.2326 & 0.408374 \tabularnewline
20 & -0.071786 & -0.6049 & 0.273593 \tabularnewline
21 & -0.120228 & -1.0131 & 0.157236 \tabularnewline
22 & -0.090162 & -0.7597 & 0.224969 \tabularnewline
23 & 0.092108 & 0.7761 & 0.22013 \tabularnewline
24 & 0.550424 & 4.638 & 8e-06 \tabularnewline
25 & 0.112676 & 0.9494 & 0.172813 \tabularnewline
26 & -0.220695 & -1.8596 & 0.033542 \tabularnewline
27 & -0.197218 & -1.6618 & 0.050483 \tabularnewline
28 & -0.04396 & -0.3704 & 0.356089 \tabularnewline
29 & 0.152214 & 1.2826 & 0.101905 \tabularnewline
30 & -0.14432 & -1.2161 & 0.113995 \tabularnewline
31 & 0.008383 & 0.0706 & 0.471943 \tabularnewline
32 & -0.100079 & -0.8433 & 0.200951 \tabularnewline
33 & -0.037736 & -0.318 & 0.375721 \tabularnewline
34 & -0.042456 & -0.3577 & 0.360799 \tabularnewline
35 & 0.05774 & 0.4865 & 0.314045 \tabularnewline
36 & 0.385241 & 3.2461 & 0.000893 \tabularnewline
37 & 0.02848 & 0.24 & 0.405519 \tabularnewline
38 & -0.121292 & -1.022 & 0.15512 \tabularnewline
39 & -0.174024 & -1.4664 & 0.073484 \tabularnewline
40 & -0.013312 & -0.1122 & 0.455502 \tabularnewline
41 & 0.132749 & 1.1186 & 0.133549 \tabularnewline
42 & -0.098011 & -0.8259 & 0.205826 \tabularnewline
43 & -0.013083 & -0.1102 & 0.456264 \tabularnewline
44 & -0.049228 & -0.4148 & 0.339769 \tabularnewline
45 & -0.02358 & -0.1987 & 0.421537 \tabularnewline
46 & -0.025854 & -0.2179 & 0.414085 \tabularnewline
47 & 0.016443 & 0.1385 & 0.445099 \tabularnewline
48 & 0.253672 & 2.1375 & 0.018002 \tabularnewline
49 & -0.007913 & -0.0667 & 0.473512 \tabularnewline
50 & -0.067134 & -0.5657 & 0.286696 \tabularnewline
51 & -0.135192 & -1.1392 & 0.129235 \tabularnewline
52 & 0.010771 & 0.0908 & 0.463969 \tabularnewline
53 & 0.12227 & 1.0303 & 0.153192 \tabularnewline
54 & -0.086559 & -0.7294 & 0.234091 \tabularnewline
55 & 0.007137 & 0.0601 & 0.476106 \tabularnewline
56 & -0.033255 & -0.2802 & 0.390064 \tabularnewline
57 & -0.043253 & -0.3645 & 0.358299 \tabularnewline
58 & 0.047646 & 0.4015 & 0.344638 \tabularnewline
59 & -0.044202 & -0.3725 & 0.355332 \tabularnewline
60 & 0.144471 & 1.2173 & 0.113755 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=230051&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]0.040186[/C][C]0.3386[/C][C]0.367951[/C][/ROW]
[ROW][C]2[/C][C]-0.197297[/C][C]-1.6625[/C][C]0.050416[/C][/ROW]
[ROW][C]3[/C][C]-0.222225[/C][C]-1.8725[/C][C]0.032628[/C][/ROW]
[ROW][C]4[/C][C]-0.097854[/C][C]-0.8245[/C][C]0.206199[/C][/ROW]
[ROW][C]5[/C][C]0.147406[/C][C]1.2421[/C][C]0.10915[/C][/ROW]
[ROW][C]6[/C][C]-0.248766[/C][C]-2.0961[/C][C]0.019817[/C][/ROW]
[ROW][C]7[/C][C]0.045626[/C][C]0.3845[/C][C]0.350896[/C][/ROW]
[ROW][C]8[/C][C]-0.059955[/C][C]-0.5052[/C][C]0.307496[/C][/ROW]
[ROW][C]9[/C][C]-0.227849[/C][C]-1.9199[/C][C]0.029445[/C][/ROW]
[ROW][C]10[/C][C]-0.094483[/C][C]-0.7961[/C][C]0.214306[/C][/ROW]
[ROW][C]11[/C][C]0.140296[/C][C]1.1822[/C][C]0.120545[/C][/ROW]
[ROW][C]12[/C][C]0.624937[/C][C]5.2658[/C][C]1e-06[/C][/ROW]
[ROW][C]13[/C][C]0.132509[/C][C]1.1165[/C][C]0.133977[/C][/ROW]
[ROW][C]14[/C][C]-0.183967[/C][C]-1.5501[/C][C]0.062778[/C][/ROW]
[ROW][C]15[/C][C]-0.224981[/C][C]-1.8957[/C][C]0.031034[/C][/ROW]
[ROW][C]16[/C][C]-0.086951[/C][C]-0.7327[/C][C]0.233089[/C][/ROW]
[ROW][C]17[/C][C]0.144257[/C][C]1.2155[/C][C]0.114095[/C][/ROW]
[ROW][C]18[/C][C]-0.196635[/C][C]-1.6569[/C][C]0.050979[/C][/ROW]
[ROW][C]19[/C][C]0.027604[/C][C]0.2326[/C][C]0.408374[/C][/ROW]
[ROW][C]20[/C][C]-0.071786[/C][C]-0.6049[/C][C]0.273593[/C][/ROW]
[ROW][C]21[/C][C]-0.120228[/C][C]-1.0131[/C][C]0.157236[/C][/ROW]
[ROW][C]22[/C][C]-0.090162[/C][C]-0.7597[/C][C]0.224969[/C][/ROW]
[ROW][C]23[/C][C]0.092108[/C][C]0.7761[/C][C]0.22013[/C][/ROW]
[ROW][C]24[/C][C]0.550424[/C][C]4.638[/C][C]8e-06[/C][/ROW]
[ROW][C]25[/C][C]0.112676[/C][C]0.9494[/C][C]0.172813[/C][/ROW]
[ROW][C]26[/C][C]-0.220695[/C][C]-1.8596[/C][C]0.033542[/C][/ROW]
[ROW][C]27[/C][C]-0.197218[/C][C]-1.6618[/C][C]0.050483[/C][/ROW]
[ROW][C]28[/C][C]-0.04396[/C][C]-0.3704[/C][C]0.356089[/C][/ROW]
[ROW][C]29[/C][C]0.152214[/C][C]1.2826[/C][C]0.101905[/C][/ROW]
[ROW][C]30[/C][C]-0.14432[/C][C]-1.2161[/C][C]0.113995[/C][/ROW]
[ROW][C]31[/C][C]0.008383[/C][C]0.0706[/C][C]0.471943[/C][/ROW]
[ROW][C]32[/C][C]-0.100079[/C][C]-0.8433[/C][C]0.200951[/C][/ROW]
[ROW][C]33[/C][C]-0.037736[/C][C]-0.318[/C][C]0.375721[/C][/ROW]
[ROW][C]34[/C][C]-0.042456[/C][C]-0.3577[/C][C]0.360799[/C][/ROW]
[ROW][C]35[/C][C]0.05774[/C][C]0.4865[/C][C]0.314045[/C][/ROW]
[ROW][C]36[/C][C]0.385241[/C][C]3.2461[/C][C]0.000893[/C][/ROW]
[ROW][C]37[/C][C]0.02848[/C][C]0.24[/C][C]0.405519[/C][/ROW]
[ROW][C]38[/C][C]-0.121292[/C][C]-1.022[/C][C]0.15512[/C][/ROW]
[ROW][C]39[/C][C]-0.174024[/C][C]-1.4664[/C][C]0.073484[/C][/ROW]
[ROW][C]40[/C][C]-0.013312[/C][C]-0.1122[/C][C]0.455502[/C][/ROW]
[ROW][C]41[/C][C]0.132749[/C][C]1.1186[/C][C]0.133549[/C][/ROW]
[ROW][C]42[/C][C]-0.098011[/C][C]-0.8259[/C][C]0.205826[/C][/ROW]
[ROW][C]43[/C][C]-0.013083[/C][C]-0.1102[/C][C]0.456264[/C][/ROW]
[ROW][C]44[/C][C]-0.049228[/C][C]-0.4148[/C][C]0.339769[/C][/ROW]
[ROW][C]45[/C][C]-0.02358[/C][C]-0.1987[/C][C]0.421537[/C][/ROW]
[ROW][C]46[/C][C]-0.025854[/C][C]-0.2179[/C][C]0.414085[/C][/ROW]
[ROW][C]47[/C][C]0.016443[/C][C]0.1385[/C][C]0.445099[/C][/ROW]
[ROW][C]48[/C][C]0.253672[/C][C]2.1375[/C][C]0.018002[/C][/ROW]
[ROW][C]49[/C][C]-0.007913[/C][C]-0.0667[/C][C]0.473512[/C][/ROW]
[ROW][C]50[/C][C]-0.067134[/C][C]-0.5657[/C][C]0.286696[/C][/ROW]
[ROW][C]51[/C][C]-0.135192[/C][C]-1.1392[/C][C]0.129235[/C][/ROW]
[ROW][C]52[/C][C]0.010771[/C][C]0.0908[/C][C]0.463969[/C][/ROW]
[ROW][C]53[/C][C]0.12227[/C][C]1.0303[/C][C]0.153192[/C][/ROW]
[ROW][C]54[/C][C]-0.086559[/C][C]-0.7294[/C][C]0.234091[/C][/ROW]
[ROW][C]55[/C][C]0.007137[/C][C]0.0601[/C][C]0.476106[/C][/ROW]
[ROW][C]56[/C][C]-0.033255[/C][C]-0.2802[/C][C]0.390064[/C][/ROW]
[ROW][C]57[/C][C]-0.043253[/C][C]-0.3645[/C][C]0.358299[/C][/ROW]
[ROW][C]58[/C][C]0.047646[/C][C]0.4015[/C][C]0.344638[/C][/ROW]
[ROW][C]59[/C][C]-0.044202[/C][C]-0.3725[/C][C]0.355332[/C][/ROW]
[ROW][C]60[/C][C]0.144471[/C][C]1.2173[/C][C]0.113755[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=230051&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=230051&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
10.0401860.33860.367951
2-0.197297-1.66250.050416
3-0.222225-1.87250.032628
4-0.097854-0.82450.206199
50.1474061.24210.10915
6-0.248766-2.09610.019817
70.0456260.38450.350896
8-0.059955-0.50520.307496
9-0.227849-1.91990.029445
10-0.094483-0.79610.214306
110.1402961.18220.120545
120.6249375.26581e-06
130.1325091.11650.133977
14-0.183967-1.55010.062778
15-0.224981-1.89570.031034
16-0.086951-0.73270.233089
170.1442571.21550.114095
18-0.196635-1.65690.050979
190.0276040.23260.408374
20-0.071786-0.60490.273593
21-0.120228-1.01310.157236
22-0.090162-0.75970.224969
230.0921080.77610.22013
240.5504244.6388e-06
250.1126760.94940.172813
26-0.220695-1.85960.033542
27-0.197218-1.66180.050483
28-0.04396-0.37040.356089
290.1522141.28260.101905
30-0.14432-1.21610.113995
310.0083830.07060.471943
32-0.100079-0.84330.200951
33-0.037736-0.3180.375721
34-0.042456-0.35770.360799
350.057740.48650.314045
360.3852413.24610.000893
370.028480.240.405519
38-0.121292-1.0220.15512
39-0.174024-1.46640.073484
40-0.013312-0.11220.455502
410.1327491.11860.133549
42-0.098011-0.82590.205826
43-0.013083-0.11020.456264
44-0.049228-0.41480.339769
45-0.02358-0.19870.421537
46-0.025854-0.21790.414085
470.0164430.13850.445099
480.2536722.13750.018002
49-0.007913-0.06670.473512
50-0.067134-0.56570.286696
51-0.135192-1.13920.129235
520.0107710.09080.463969
530.122271.03030.153192
54-0.086559-0.72940.234091
550.0071370.06010.476106
56-0.033255-0.28020.390064
57-0.043253-0.36450.358299
580.0476460.40150.344638
59-0.044202-0.37250.355332
600.1444711.21730.113755







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.0401860.33860.367951
2-0.199233-1.67880.048797
3-0.213517-1.79910.038124
4-0.136928-1.15380.12623
50.0678140.57140.284762
6-0.380115-3.20290.001019
70.0515560.43440.33265
8-0.2175-1.83270.035521
9-0.427547-3.60260.00029
10-0.412202-3.47330.00044
11-0.172412-1.45280.075346
120.2779232.34180.011
130.1378551.16160.124647
140.1047270.88240.190257
15-0.044336-0.37360.354916
16-0.065648-0.55320.290945
170.0301260.25380.400175
18-0.145672-1.22750.111854
190.0544180.45850.323986
200.0030580.02580.489758
210.1160.97740.165837
22-0.109744-0.92470.179122
23-0.061885-0.52150.301837
240.0835570.70410.241849
250.0045390.03820.4848
26-0.121102-1.02040.155496
270.0208210.17540.430617
280.022160.18670.426205
290.0304910.25690.39899
300.0284420.23970.405644
310.1188751.00170.159955
32-0.134378-1.13230.130662
330.1782721.50210.068747
340.0391020.32950.371381
350.0102660.08650.465656
36-0.073279-0.61750.269454
37-0.055461-0.46730.32085
38-0.0623-0.5250.300626
390.0558450.47060.319699
400.049590.41790.338657
41-0.036446-0.30710.379834
420.0293440.24730.40271
430.0249440.21020.417064
44-0.011857-0.09990.460349
450.0233680.19690.422233
46-0.006455-0.05440.478388
470.0217630.18340.427511
48-0.078181-0.65880.256089
49-0.052833-0.44520.328772
50-0.000182-0.00150.499391
510.0022220.01870.492557
52-0.046832-0.39460.347157
530.0076460.06440.474405
54-0.076442-0.64410.260789
55-0.04576-0.38560.350481
560.036830.31030.378609
57-0.147109-1.23960.10961
580.0463570.39060.348627
59-0.017278-0.14560.442328
60-0.047778-0.40260.344232

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.040186 & 0.3386 & 0.367951 \tabularnewline
2 & -0.199233 & -1.6788 & 0.048797 \tabularnewline
3 & -0.213517 & -1.7991 & 0.038124 \tabularnewline
4 & -0.136928 & -1.1538 & 0.12623 \tabularnewline
5 & 0.067814 & 0.5714 & 0.284762 \tabularnewline
6 & -0.380115 & -3.2029 & 0.001019 \tabularnewline
7 & 0.051556 & 0.4344 & 0.33265 \tabularnewline
8 & -0.2175 & -1.8327 & 0.035521 \tabularnewline
9 & -0.427547 & -3.6026 & 0.00029 \tabularnewline
10 & -0.412202 & -3.4733 & 0.00044 \tabularnewline
11 & -0.172412 & -1.4528 & 0.075346 \tabularnewline
12 & 0.277923 & 2.3418 & 0.011 \tabularnewline
13 & 0.137855 & 1.1616 & 0.124647 \tabularnewline
14 & 0.104727 & 0.8824 & 0.190257 \tabularnewline
15 & -0.044336 & -0.3736 & 0.354916 \tabularnewline
16 & -0.065648 & -0.5532 & 0.290945 \tabularnewline
17 & 0.030126 & 0.2538 & 0.400175 \tabularnewline
18 & -0.145672 & -1.2275 & 0.111854 \tabularnewline
19 & 0.054418 & 0.4585 & 0.323986 \tabularnewline
20 & 0.003058 & 0.0258 & 0.489758 \tabularnewline
21 & 0.116 & 0.9774 & 0.165837 \tabularnewline
22 & -0.109744 & -0.9247 & 0.179122 \tabularnewline
23 & -0.061885 & -0.5215 & 0.301837 \tabularnewline
24 & 0.083557 & 0.7041 & 0.241849 \tabularnewline
25 & 0.004539 & 0.0382 & 0.4848 \tabularnewline
26 & -0.121102 & -1.0204 & 0.155496 \tabularnewline
27 & 0.020821 & 0.1754 & 0.430617 \tabularnewline
28 & 0.02216 & 0.1867 & 0.426205 \tabularnewline
29 & 0.030491 & 0.2569 & 0.39899 \tabularnewline
30 & 0.028442 & 0.2397 & 0.405644 \tabularnewline
31 & 0.118875 & 1.0017 & 0.159955 \tabularnewline
32 & -0.134378 & -1.1323 & 0.130662 \tabularnewline
33 & 0.178272 & 1.5021 & 0.068747 \tabularnewline
34 & 0.039102 & 0.3295 & 0.371381 \tabularnewline
35 & 0.010266 & 0.0865 & 0.465656 \tabularnewline
36 & -0.073279 & -0.6175 & 0.269454 \tabularnewline
37 & -0.055461 & -0.4673 & 0.32085 \tabularnewline
38 & -0.0623 & -0.525 & 0.300626 \tabularnewline
39 & 0.055845 & 0.4706 & 0.319699 \tabularnewline
40 & 0.04959 & 0.4179 & 0.338657 \tabularnewline
41 & -0.036446 & -0.3071 & 0.379834 \tabularnewline
42 & 0.029344 & 0.2473 & 0.40271 \tabularnewline
43 & 0.024944 & 0.2102 & 0.417064 \tabularnewline
44 & -0.011857 & -0.0999 & 0.460349 \tabularnewline
45 & 0.023368 & 0.1969 & 0.422233 \tabularnewline
46 & -0.006455 & -0.0544 & 0.478388 \tabularnewline
47 & 0.021763 & 0.1834 & 0.427511 \tabularnewline
48 & -0.078181 & -0.6588 & 0.256089 \tabularnewline
49 & -0.052833 & -0.4452 & 0.328772 \tabularnewline
50 & -0.000182 & -0.0015 & 0.499391 \tabularnewline
51 & 0.002222 & 0.0187 & 0.492557 \tabularnewline
52 & -0.046832 & -0.3946 & 0.347157 \tabularnewline
53 & 0.007646 & 0.0644 & 0.474405 \tabularnewline
54 & -0.076442 & -0.6441 & 0.260789 \tabularnewline
55 & -0.04576 & -0.3856 & 0.350481 \tabularnewline
56 & 0.03683 & 0.3103 & 0.378609 \tabularnewline
57 & -0.147109 & -1.2396 & 0.10961 \tabularnewline
58 & 0.046357 & 0.3906 & 0.348627 \tabularnewline
59 & -0.017278 & -0.1456 & 0.442328 \tabularnewline
60 & -0.047778 & -0.4026 & 0.344232 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=230051&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]0.040186[/C][C]0.3386[/C][C]0.367951[/C][/ROW]
[ROW][C]2[/C][C]-0.199233[/C][C]-1.6788[/C][C]0.048797[/C][/ROW]
[ROW][C]3[/C][C]-0.213517[/C][C]-1.7991[/C][C]0.038124[/C][/ROW]
[ROW][C]4[/C][C]-0.136928[/C][C]-1.1538[/C][C]0.12623[/C][/ROW]
[ROW][C]5[/C][C]0.067814[/C][C]0.5714[/C][C]0.284762[/C][/ROW]
[ROW][C]6[/C][C]-0.380115[/C][C]-3.2029[/C][C]0.001019[/C][/ROW]
[ROW][C]7[/C][C]0.051556[/C][C]0.4344[/C][C]0.33265[/C][/ROW]
[ROW][C]8[/C][C]-0.2175[/C][C]-1.8327[/C][C]0.035521[/C][/ROW]
[ROW][C]9[/C][C]-0.427547[/C][C]-3.6026[/C][C]0.00029[/C][/ROW]
[ROW][C]10[/C][C]-0.412202[/C][C]-3.4733[/C][C]0.00044[/C][/ROW]
[ROW][C]11[/C][C]-0.172412[/C][C]-1.4528[/C][C]0.075346[/C][/ROW]
[ROW][C]12[/C][C]0.277923[/C][C]2.3418[/C][C]0.011[/C][/ROW]
[ROW][C]13[/C][C]0.137855[/C][C]1.1616[/C][C]0.124647[/C][/ROW]
[ROW][C]14[/C][C]0.104727[/C][C]0.8824[/C][C]0.190257[/C][/ROW]
[ROW][C]15[/C][C]-0.044336[/C][C]-0.3736[/C][C]0.354916[/C][/ROW]
[ROW][C]16[/C][C]-0.065648[/C][C]-0.5532[/C][C]0.290945[/C][/ROW]
[ROW][C]17[/C][C]0.030126[/C][C]0.2538[/C][C]0.400175[/C][/ROW]
[ROW][C]18[/C][C]-0.145672[/C][C]-1.2275[/C][C]0.111854[/C][/ROW]
[ROW][C]19[/C][C]0.054418[/C][C]0.4585[/C][C]0.323986[/C][/ROW]
[ROW][C]20[/C][C]0.003058[/C][C]0.0258[/C][C]0.489758[/C][/ROW]
[ROW][C]21[/C][C]0.116[/C][C]0.9774[/C][C]0.165837[/C][/ROW]
[ROW][C]22[/C][C]-0.109744[/C][C]-0.9247[/C][C]0.179122[/C][/ROW]
[ROW][C]23[/C][C]-0.061885[/C][C]-0.5215[/C][C]0.301837[/C][/ROW]
[ROW][C]24[/C][C]0.083557[/C][C]0.7041[/C][C]0.241849[/C][/ROW]
[ROW][C]25[/C][C]0.004539[/C][C]0.0382[/C][C]0.4848[/C][/ROW]
[ROW][C]26[/C][C]-0.121102[/C][C]-1.0204[/C][C]0.155496[/C][/ROW]
[ROW][C]27[/C][C]0.020821[/C][C]0.1754[/C][C]0.430617[/C][/ROW]
[ROW][C]28[/C][C]0.02216[/C][C]0.1867[/C][C]0.426205[/C][/ROW]
[ROW][C]29[/C][C]0.030491[/C][C]0.2569[/C][C]0.39899[/C][/ROW]
[ROW][C]30[/C][C]0.028442[/C][C]0.2397[/C][C]0.405644[/C][/ROW]
[ROW][C]31[/C][C]0.118875[/C][C]1.0017[/C][C]0.159955[/C][/ROW]
[ROW][C]32[/C][C]-0.134378[/C][C]-1.1323[/C][C]0.130662[/C][/ROW]
[ROW][C]33[/C][C]0.178272[/C][C]1.5021[/C][C]0.068747[/C][/ROW]
[ROW][C]34[/C][C]0.039102[/C][C]0.3295[/C][C]0.371381[/C][/ROW]
[ROW][C]35[/C][C]0.010266[/C][C]0.0865[/C][C]0.465656[/C][/ROW]
[ROW][C]36[/C][C]-0.073279[/C][C]-0.6175[/C][C]0.269454[/C][/ROW]
[ROW][C]37[/C][C]-0.055461[/C][C]-0.4673[/C][C]0.32085[/C][/ROW]
[ROW][C]38[/C][C]-0.0623[/C][C]-0.525[/C][C]0.300626[/C][/ROW]
[ROW][C]39[/C][C]0.055845[/C][C]0.4706[/C][C]0.319699[/C][/ROW]
[ROW][C]40[/C][C]0.04959[/C][C]0.4179[/C][C]0.338657[/C][/ROW]
[ROW][C]41[/C][C]-0.036446[/C][C]-0.3071[/C][C]0.379834[/C][/ROW]
[ROW][C]42[/C][C]0.029344[/C][C]0.2473[/C][C]0.40271[/C][/ROW]
[ROW][C]43[/C][C]0.024944[/C][C]0.2102[/C][C]0.417064[/C][/ROW]
[ROW][C]44[/C][C]-0.011857[/C][C]-0.0999[/C][C]0.460349[/C][/ROW]
[ROW][C]45[/C][C]0.023368[/C][C]0.1969[/C][C]0.422233[/C][/ROW]
[ROW][C]46[/C][C]-0.006455[/C][C]-0.0544[/C][C]0.478388[/C][/ROW]
[ROW][C]47[/C][C]0.021763[/C][C]0.1834[/C][C]0.427511[/C][/ROW]
[ROW][C]48[/C][C]-0.078181[/C][C]-0.6588[/C][C]0.256089[/C][/ROW]
[ROW][C]49[/C][C]-0.052833[/C][C]-0.4452[/C][C]0.328772[/C][/ROW]
[ROW][C]50[/C][C]-0.000182[/C][C]-0.0015[/C][C]0.499391[/C][/ROW]
[ROW][C]51[/C][C]0.002222[/C][C]0.0187[/C][C]0.492557[/C][/ROW]
[ROW][C]52[/C][C]-0.046832[/C][C]-0.3946[/C][C]0.347157[/C][/ROW]
[ROW][C]53[/C][C]0.007646[/C][C]0.0644[/C][C]0.474405[/C][/ROW]
[ROW][C]54[/C][C]-0.076442[/C][C]-0.6441[/C][C]0.260789[/C][/ROW]
[ROW][C]55[/C][C]-0.04576[/C][C]-0.3856[/C][C]0.350481[/C][/ROW]
[ROW][C]56[/C][C]0.03683[/C][C]0.3103[/C][C]0.378609[/C][/ROW]
[ROW][C]57[/C][C]-0.147109[/C][C]-1.2396[/C][C]0.10961[/C][/ROW]
[ROW][C]58[/C][C]0.046357[/C][C]0.3906[/C][C]0.348627[/C][/ROW]
[ROW][C]59[/C][C]-0.017278[/C][C]-0.1456[/C][C]0.442328[/C][/ROW]
[ROW][C]60[/C][C]-0.047778[/C][C]-0.4026[/C][C]0.344232[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=230051&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=230051&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
10.0401860.33860.367951
2-0.199233-1.67880.048797
3-0.213517-1.79910.038124
4-0.136928-1.15380.12623
50.0678140.57140.284762
6-0.380115-3.20290.001019
70.0515560.43440.33265
8-0.2175-1.83270.035521
9-0.427547-3.60260.00029
10-0.412202-3.47330.00044
11-0.172412-1.45280.075346
120.2779232.34180.011
130.1378551.16160.124647
140.1047270.88240.190257
15-0.044336-0.37360.354916
16-0.065648-0.55320.290945
170.0301260.25380.400175
18-0.145672-1.22750.111854
190.0544180.45850.323986
200.0030580.02580.489758
210.1160.97740.165837
22-0.109744-0.92470.179122
23-0.061885-0.52150.301837
240.0835570.70410.241849
250.0045390.03820.4848
26-0.121102-1.02040.155496
270.0208210.17540.430617
280.022160.18670.426205
290.0304910.25690.39899
300.0284420.23970.405644
310.1188751.00170.159955
32-0.134378-1.13230.130662
330.1782721.50210.068747
340.0391020.32950.371381
350.0102660.08650.465656
36-0.073279-0.61750.269454
37-0.055461-0.46730.32085
38-0.0623-0.5250.300626
390.0558450.47060.319699
400.049590.41790.338657
41-0.036446-0.30710.379834
420.0293440.24730.40271
430.0249440.21020.417064
44-0.011857-0.09990.460349
450.0233680.19690.422233
46-0.006455-0.05440.478388
470.0217630.18340.427511
48-0.078181-0.65880.256089
49-0.052833-0.44520.328772
50-0.000182-0.00150.499391
510.0022220.01870.492557
52-0.046832-0.39460.347157
530.0076460.06440.474405
54-0.076442-0.64410.260789
55-0.04576-0.38560.350481
560.036830.31030.378609
57-0.147109-1.23960.10961
580.0463570.39060.348627
59-0.017278-0.14560.442328
60-0.047778-0.40260.344232



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ; par8 = ;
R code (references can be found in the software module):
if (par1 == 'Default') {
par1 = 10*log10(length(x))
} else {
par1 <- as.numeric(par1)
}
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
par5 <- as.numeric(par5)
if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
par7 <- as.numeric(par7)
if (par8 != '') par8 <- as.numeric(par8)
ox <- x
if (par8 == '') {
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
} else {
x <- log(x,base=par8)
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='picts.png')
op <- par(mfrow=c(2,1))
plot(ox,type='l',main='Original Time Series',xlab='time',ylab='value')
if (par8=='') {
mytitle <- paste('Working Time Series (lambda=',par2,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
} else {
mytitle <- paste('Working Time Series (base=',par8,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(base=',par8,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
}
plot(x,type='l', main=mytitle,xlab='time',ylab='value')
par(op)
dev.off()
bitmap(file='pic1.png')
racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=mysub)
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF',sub=mysub)
dev.off()
(myacf <- c(racf$acf))
(mypacf <- c(rpacf$acf))
lengthx <- length(x)
sqrtn <- sqrt(lengthx)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','ACF(k)','click here for more information about the Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 2:(par1+1)) {
a<-table.row.start(a)
a<-table.element(a,i-1,header=TRUE)
a<-table.element(a,round(myacf[i],6))
mytstat <- myacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Partial Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','PACF(k)','click here for more information about the Partial Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:par1) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,round(mypacf[i],6))
mytstat <- mypacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')