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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, 23 Dec 2013 07:42:55 -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/23/t13878025929zde5jxbywhqby1.htm/, Retrieved Fri, 29 Mar 2024 08:11:56 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=232596, Retrieved Fri, 29 Mar 2024 08:11:56 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact131
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [] [2013-12-23 12:42:55] [f7a1a28113c41406cd39c3805ab775eb] [Current]
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Dataseries X:
 6 715 
 7 703 
 9 856 
 8 326 
 9 269 
 7 035 
 10 342 
 11 682 
 10 304 
 11 385 
 9 777 
 8 882 
 7 897 
 6 930 
 9 545 
 9 110 
 7 459 
 7 320 
 10 017 
 12 307 
 11 072 
 10 749 
 9 589 
 9 080 
 7 384 
 8 062 
 8 511 
 8 684 
 8 306 
 7 643 
 10 577 
 13 747 
 11 783 
 11 611 
 9 946 
 8 693 
 7 303 
 7 609 
 9 423 
 8 584 
 7 586 
 6 843 
 11 811 
 13 414 
 12 103 
 11 501 
 8 213 
 7 982 
 7 687 
 7 180 
 7 862 
 8 043 
 8 340 
 6 692 
 10 065 
 12 684 
 11 587 
 9 843 
 8 110 
 7 940 
 6 475 
 6 121 
 9 669 
 7 778 
 7 826 
 7 403 
 10 741 
 14 023 
 11 519 
 10 236 
 8 075 
 8 157 




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time6 seconds
R Server'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232596&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232596&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232596&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'George Udny Yule' @ yule.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

\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
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232596&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]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232596&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232596&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







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

\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
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232596&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]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232596&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232596&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



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
Parameters (R input):
par1 = 48 ; 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):
par8 <- ''
par7 <- '0.95'
par6 <- 'White Noise'
par5 <- '12'
par4 <- '0'
par3 <- '0'
par2 <- '1'
par1 <- '48'
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')