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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationWed, 23 Nov 2011 13:44:01 -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/2011/Nov/23/t1322074208o3mv8rqbgb8yg2e.htm/, Retrieved Fri, 29 Mar 2024 09:54:37 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=146568, Retrieved Fri, 29 Mar 2024 09:54:37 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP2W12
Estimated Impact82
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [autocorolatie NSD...] [2011-11-23 18:44:01] [3a5148fa0f21767f499340b81dfb0928] [Current]
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Dataseries X:
101,16
101,16
101,16
101,16
101,16
101,16
101,16
101,16
101,16
101,21
101,21
101,21
103,16
103,16
103,16
103,16
101,13
101,13
100,53
100,53
100,53
100,53
100,53
100,53
100,53
100,53
100,53
99,42
99,42
99,42
99,42
100,31
100,31
102,25
102,25
102,25
101,81
101,81
101,81
101,81
101,81
101,81
101,81
101,81
101,81
101,81
101,81
101,81
101,81
101,81
101,81
101,81
101,81
101,81
101,81
101,94
101,94
101,94
101,94
101,94




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gertrude Mary Cox' @ cox.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 & 1 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=146568&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=146568&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=146568&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'Gertrude Mary Cox' @ cox.wessa.net







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.8366626.48080
20.6733245.21551e-06
30.4443053.44160.00053
40.232151.79820.038586
50.130331.00950.158387
60.0388640.3010.382212
70.021530.16680.434056
80.0064590.050.48013
9-0.008611-0.06670.473521
10-0.048515-0.37580.354197
11-0.088419-0.68490.248025
12-0.178585-1.38330.085847
13-0.259124-2.00720.024622
14-0.327751-2.53880.006868
15-0.396379-3.07030.001605
16-0.350461-2.71470.004325
17-0.314566-2.43660.008905
18-0.190825-1.47810.072302
19-0.074698-0.57860.28251
200.0039930.03090.487713
210.0627610.48610.314317
220.0371460.28770.387272
230.0049130.03810.484885
24-0.027321-0.21160.416559
25-0.050643-0.39230.348121
26-0.073965-0.57290.284415
27-0.097288-0.75360.227022
28-0.101424-0.78560.217588
29-0.102342-0.79270.215527
30-0.092169-0.71390.239017
31-0.081996-0.63510.263877
32-0.067429-0.52230.301692
33-0.052862-0.40950.341828
34-0.042549-0.32960.371431
35-0.032237-0.24970.401834
36-0.021924-0.16980.43286
37-0.013784-0.10680.457664
38-0.003904-0.03020.487988
390.0059760.04630.481616
400.0217430.16840.43341
410.037510.29050.3862
420.0532760.41270.340658
430.0615660.47690.317587
440.0642010.49730.310398
450.0415390.32180.374376
460.0188780.14620.442117
47-0.003929-0.03040.48791
48-0.026736-0.20710.418318

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.836662 & 6.4808 & 0 \tabularnewline
2 & 0.673324 & 5.2155 & 1e-06 \tabularnewline
3 & 0.444305 & 3.4416 & 0.00053 \tabularnewline
4 & 0.23215 & 1.7982 & 0.038586 \tabularnewline
5 & 0.13033 & 1.0095 & 0.158387 \tabularnewline
6 & 0.038864 & 0.301 & 0.382212 \tabularnewline
7 & 0.02153 & 0.1668 & 0.434056 \tabularnewline
8 & 0.006459 & 0.05 & 0.48013 \tabularnewline
9 & -0.008611 & -0.0667 & 0.473521 \tabularnewline
10 & -0.048515 & -0.3758 & 0.354197 \tabularnewline
11 & -0.088419 & -0.6849 & 0.248025 \tabularnewline
12 & -0.178585 & -1.3833 & 0.085847 \tabularnewline
13 & -0.259124 & -2.0072 & 0.024622 \tabularnewline
14 & -0.327751 & -2.5388 & 0.006868 \tabularnewline
15 & -0.396379 & -3.0703 & 0.001605 \tabularnewline
16 & -0.350461 & -2.7147 & 0.004325 \tabularnewline
17 & -0.314566 & -2.4366 & 0.008905 \tabularnewline
18 & -0.190825 & -1.4781 & 0.072302 \tabularnewline
19 & -0.074698 & -0.5786 & 0.28251 \tabularnewline
20 & 0.003993 & 0.0309 & 0.487713 \tabularnewline
21 & 0.062761 & 0.4861 & 0.314317 \tabularnewline
22 & 0.037146 & 0.2877 & 0.387272 \tabularnewline
23 & 0.004913 & 0.0381 & 0.484885 \tabularnewline
24 & -0.027321 & -0.2116 & 0.416559 \tabularnewline
25 & -0.050643 & -0.3923 & 0.348121 \tabularnewline
26 & -0.073965 & -0.5729 & 0.284415 \tabularnewline
27 & -0.097288 & -0.7536 & 0.227022 \tabularnewline
28 & -0.101424 & -0.7856 & 0.217588 \tabularnewline
29 & -0.102342 & -0.7927 & 0.215527 \tabularnewline
30 & -0.092169 & -0.7139 & 0.239017 \tabularnewline
31 & -0.081996 & -0.6351 & 0.263877 \tabularnewline
32 & -0.067429 & -0.5223 & 0.301692 \tabularnewline
33 & -0.052862 & -0.4095 & 0.341828 \tabularnewline
34 & -0.042549 & -0.3296 & 0.371431 \tabularnewline
35 & -0.032237 & -0.2497 & 0.401834 \tabularnewline
36 & -0.021924 & -0.1698 & 0.43286 \tabularnewline
37 & -0.013784 & -0.1068 & 0.457664 \tabularnewline
38 & -0.003904 & -0.0302 & 0.487988 \tabularnewline
39 & 0.005976 & 0.0463 & 0.481616 \tabularnewline
40 & 0.021743 & 0.1684 & 0.43341 \tabularnewline
41 & 0.03751 & 0.2905 & 0.3862 \tabularnewline
42 & 0.053276 & 0.4127 & 0.340658 \tabularnewline
43 & 0.061566 & 0.4769 & 0.317587 \tabularnewline
44 & 0.064201 & 0.4973 & 0.310398 \tabularnewline
45 & 0.041539 & 0.3218 & 0.374376 \tabularnewline
46 & 0.018878 & 0.1462 & 0.442117 \tabularnewline
47 & -0.003929 & -0.0304 & 0.48791 \tabularnewline
48 & -0.026736 & -0.2071 & 0.418318 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=146568&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]0.836662[/C][C]6.4808[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.673324[/C][C]5.2155[/C][C]1e-06[/C][/ROW]
[ROW][C]3[/C][C]0.444305[/C][C]3.4416[/C][C]0.00053[/C][/ROW]
[ROW][C]4[/C][C]0.23215[/C][C]1.7982[/C][C]0.038586[/C][/ROW]
[ROW][C]5[/C][C]0.13033[/C][C]1.0095[/C][C]0.158387[/C][/ROW]
[ROW][C]6[/C][C]0.038864[/C][C]0.301[/C][C]0.382212[/C][/ROW]
[ROW][C]7[/C][C]0.02153[/C][C]0.1668[/C][C]0.434056[/C][/ROW]
[ROW][C]8[/C][C]0.006459[/C][C]0.05[/C][C]0.48013[/C][/ROW]
[ROW][C]9[/C][C]-0.008611[/C][C]-0.0667[/C][C]0.473521[/C][/ROW]
[ROW][C]10[/C][C]-0.048515[/C][C]-0.3758[/C][C]0.354197[/C][/ROW]
[ROW][C]11[/C][C]-0.088419[/C][C]-0.6849[/C][C]0.248025[/C][/ROW]
[ROW][C]12[/C][C]-0.178585[/C][C]-1.3833[/C][C]0.085847[/C][/ROW]
[ROW][C]13[/C][C]-0.259124[/C][C]-2.0072[/C][C]0.024622[/C][/ROW]
[ROW][C]14[/C][C]-0.327751[/C][C]-2.5388[/C][C]0.006868[/C][/ROW]
[ROW][C]15[/C][C]-0.396379[/C][C]-3.0703[/C][C]0.001605[/C][/ROW]
[ROW][C]16[/C][C]-0.350461[/C][C]-2.7147[/C][C]0.004325[/C][/ROW]
[ROW][C]17[/C][C]-0.314566[/C][C]-2.4366[/C][C]0.008905[/C][/ROW]
[ROW][C]18[/C][C]-0.190825[/C][C]-1.4781[/C][C]0.072302[/C][/ROW]
[ROW][C]19[/C][C]-0.074698[/C][C]-0.5786[/C][C]0.28251[/C][/ROW]
[ROW][C]20[/C][C]0.003993[/C][C]0.0309[/C][C]0.487713[/C][/ROW]
[ROW][C]21[/C][C]0.062761[/C][C]0.4861[/C][C]0.314317[/C][/ROW]
[ROW][C]22[/C][C]0.037146[/C][C]0.2877[/C][C]0.387272[/C][/ROW]
[ROW][C]23[/C][C]0.004913[/C][C]0.0381[/C][C]0.484885[/C][/ROW]
[ROW][C]24[/C][C]-0.027321[/C][C]-0.2116[/C][C]0.416559[/C][/ROW]
[ROW][C]25[/C][C]-0.050643[/C][C]-0.3923[/C][C]0.348121[/C][/ROW]
[ROW][C]26[/C][C]-0.073965[/C][C]-0.5729[/C][C]0.284415[/C][/ROW]
[ROW][C]27[/C][C]-0.097288[/C][C]-0.7536[/C][C]0.227022[/C][/ROW]
[ROW][C]28[/C][C]-0.101424[/C][C]-0.7856[/C][C]0.217588[/C][/ROW]
[ROW][C]29[/C][C]-0.102342[/C][C]-0.7927[/C][C]0.215527[/C][/ROW]
[ROW][C]30[/C][C]-0.092169[/C][C]-0.7139[/C][C]0.239017[/C][/ROW]
[ROW][C]31[/C][C]-0.081996[/C][C]-0.6351[/C][C]0.263877[/C][/ROW]
[ROW][C]32[/C][C]-0.067429[/C][C]-0.5223[/C][C]0.301692[/C][/ROW]
[ROW][C]33[/C][C]-0.052862[/C][C]-0.4095[/C][C]0.341828[/C][/ROW]
[ROW][C]34[/C][C]-0.042549[/C][C]-0.3296[/C][C]0.371431[/C][/ROW]
[ROW][C]35[/C][C]-0.032237[/C][C]-0.2497[/C][C]0.401834[/C][/ROW]
[ROW][C]36[/C][C]-0.021924[/C][C]-0.1698[/C][C]0.43286[/C][/ROW]
[ROW][C]37[/C][C]-0.013784[/C][C]-0.1068[/C][C]0.457664[/C][/ROW]
[ROW][C]38[/C][C]-0.003904[/C][C]-0.0302[/C][C]0.487988[/C][/ROW]
[ROW][C]39[/C][C]0.005976[/C][C]0.0463[/C][C]0.481616[/C][/ROW]
[ROW][C]40[/C][C]0.021743[/C][C]0.1684[/C][C]0.43341[/C][/ROW]
[ROW][C]41[/C][C]0.03751[/C][C]0.2905[/C][C]0.3862[/C][/ROW]
[ROW][C]42[/C][C]0.053276[/C][C]0.4127[/C][C]0.340658[/C][/ROW]
[ROW][C]43[/C][C]0.061566[/C][C]0.4769[/C][C]0.317587[/C][/ROW]
[ROW][C]44[/C][C]0.064201[/C][C]0.4973[/C][C]0.310398[/C][/ROW]
[ROW][C]45[/C][C]0.041539[/C][C]0.3218[/C][C]0.374376[/C][/ROW]
[ROW][C]46[/C][C]0.018878[/C][C]0.1462[/C][C]0.442117[/C][/ROW]
[ROW][C]47[/C][C]-0.003929[/C][C]-0.0304[/C][C]0.48791[/C][/ROW]
[ROW][C]48[/C][C]-0.026736[/C][C]-0.2071[/C][C]0.418318[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=146568&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=146568&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
10.8366626.48080
20.6733245.21551e-06
30.4443053.44160.00053
40.232151.79820.038586
50.130331.00950.158387
60.0388640.3010.382212
70.021530.16680.434056
80.0064590.050.48013
9-0.008611-0.06670.473521
10-0.048515-0.37580.354197
11-0.088419-0.68490.248025
12-0.178585-1.38330.085847
13-0.259124-2.00720.024622
14-0.327751-2.53880.006868
15-0.396379-3.07030.001605
16-0.350461-2.71470.004325
17-0.314566-2.43660.008905
18-0.190825-1.47810.072302
19-0.074698-0.57860.28251
200.0039930.03090.487713
210.0627610.48610.314317
220.0371460.28770.387272
230.0049130.03810.484885
24-0.027321-0.21160.416559
25-0.050643-0.39230.348121
26-0.073965-0.57290.284415
27-0.097288-0.75360.227022
28-0.101424-0.78560.217588
29-0.102342-0.79270.215527
30-0.092169-0.71390.239017
31-0.081996-0.63510.263877
32-0.067429-0.52230.301692
33-0.052862-0.40950.341828
34-0.042549-0.32960.371431
35-0.032237-0.24970.401834
36-0.021924-0.16980.43286
37-0.013784-0.10680.457664
38-0.003904-0.03020.487988
390.0059760.04630.481616
400.0217430.16840.43341
410.037510.29050.3862
420.0532760.41270.340658
430.0615660.47690.317587
440.0642010.49730.310398
450.0415390.32180.374376
460.0188780.14620.442117
47-0.003929-0.03040.48791
48-0.026736-0.20710.418318







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.8366626.48080
2-0.088932-0.68890.246782
3-0.3183-2.46550.008279
4-0.108925-0.84370.201086
50.2841192.20080.015806
6-0.071593-0.55460.29063
7-0.01591-0.12320.451166
8-0.038248-0.29630.384024
9-0.006484-0.05020.480054
10-0.153021-1.18530.120286
110.030660.23750.406541
12-0.219054-1.69680.04746
13-0.075218-0.58260.28116
14-0.031353-0.24290.40447
15-0.095636-0.74080.230854
160.1886771.46150.07455
17-0.047166-0.36530.35807
180.1261520.97720.166204
190.0053150.04120.483648
20-0.017723-0.13730.445635
21-0.07357-0.56990.285447
22-0.07104-0.55030.292088
23-0.02529-0.19590.422678
240.0750240.58110.281663
25-0.070796-0.54840.292731
26-0.154794-1.1990.117615
27-0.170107-1.31760.096316
280.1052710.81540.209027
29-0.04776-0.36990.356363
30-0.088165-0.68290.248643
310.0577110.4470.328234
32-0.001401-0.01090.495689
330.1206170.93430.176948
34-0.010246-0.07940.468504
35-0.000356-0.00280.498905
36-0.0028-0.02170.491383
37-0.064838-0.50220.308672
38-0.018704-0.14490.442645
39-0.039471-0.30570.380431
40-0.010453-0.0810.467868
41-0.021967-0.17020.43273
42-0.052723-0.40840.34222
430.0014820.01150.495439
44-0.07917-0.61320.271015
45-0.102234-0.79190.21577
460.0536410.41550.339629
470.0581950.45080.326887
480.0602180.46640.321292

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.836662 & 6.4808 & 0 \tabularnewline
2 & -0.088932 & -0.6889 & 0.246782 \tabularnewline
3 & -0.3183 & -2.4655 & 0.008279 \tabularnewline
4 & -0.108925 & -0.8437 & 0.201086 \tabularnewline
5 & 0.284119 & 2.2008 & 0.015806 \tabularnewline
6 & -0.071593 & -0.5546 & 0.29063 \tabularnewline
7 & -0.01591 & -0.1232 & 0.451166 \tabularnewline
8 & -0.038248 & -0.2963 & 0.384024 \tabularnewline
9 & -0.006484 & -0.0502 & 0.480054 \tabularnewline
10 & -0.153021 & -1.1853 & 0.120286 \tabularnewline
11 & 0.03066 & 0.2375 & 0.406541 \tabularnewline
12 & -0.219054 & -1.6968 & 0.04746 \tabularnewline
13 & -0.075218 & -0.5826 & 0.28116 \tabularnewline
14 & -0.031353 & -0.2429 & 0.40447 \tabularnewline
15 & -0.095636 & -0.7408 & 0.230854 \tabularnewline
16 & 0.188677 & 1.4615 & 0.07455 \tabularnewline
17 & -0.047166 & -0.3653 & 0.35807 \tabularnewline
18 & 0.126152 & 0.9772 & 0.166204 \tabularnewline
19 & 0.005315 & 0.0412 & 0.483648 \tabularnewline
20 & -0.017723 & -0.1373 & 0.445635 \tabularnewline
21 & -0.07357 & -0.5699 & 0.285447 \tabularnewline
22 & -0.07104 & -0.5503 & 0.292088 \tabularnewline
23 & -0.02529 & -0.1959 & 0.422678 \tabularnewline
24 & 0.075024 & 0.5811 & 0.281663 \tabularnewline
25 & -0.070796 & -0.5484 & 0.292731 \tabularnewline
26 & -0.154794 & -1.199 & 0.117615 \tabularnewline
27 & -0.170107 & -1.3176 & 0.096316 \tabularnewline
28 & 0.105271 & 0.8154 & 0.209027 \tabularnewline
29 & -0.04776 & -0.3699 & 0.356363 \tabularnewline
30 & -0.088165 & -0.6829 & 0.248643 \tabularnewline
31 & 0.057711 & 0.447 & 0.328234 \tabularnewline
32 & -0.001401 & -0.0109 & 0.495689 \tabularnewline
33 & 0.120617 & 0.9343 & 0.176948 \tabularnewline
34 & -0.010246 & -0.0794 & 0.468504 \tabularnewline
35 & -0.000356 & -0.0028 & 0.498905 \tabularnewline
36 & -0.0028 & -0.0217 & 0.491383 \tabularnewline
37 & -0.064838 & -0.5022 & 0.308672 \tabularnewline
38 & -0.018704 & -0.1449 & 0.442645 \tabularnewline
39 & -0.039471 & -0.3057 & 0.380431 \tabularnewline
40 & -0.010453 & -0.081 & 0.467868 \tabularnewline
41 & -0.021967 & -0.1702 & 0.43273 \tabularnewline
42 & -0.052723 & -0.4084 & 0.34222 \tabularnewline
43 & 0.001482 & 0.0115 & 0.495439 \tabularnewline
44 & -0.07917 & -0.6132 & 0.271015 \tabularnewline
45 & -0.102234 & -0.7919 & 0.21577 \tabularnewline
46 & 0.053641 & 0.4155 & 0.339629 \tabularnewline
47 & 0.058195 & 0.4508 & 0.326887 \tabularnewline
48 & 0.060218 & 0.4664 & 0.321292 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=146568&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]0.836662[/C][C]6.4808[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.088932[/C][C]-0.6889[/C][C]0.246782[/C][/ROW]
[ROW][C]3[/C][C]-0.3183[/C][C]-2.4655[/C][C]0.008279[/C][/ROW]
[ROW][C]4[/C][C]-0.108925[/C][C]-0.8437[/C][C]0.201086[/C][/ROW]
[ROW][C]5[/C][C]0.284119[/C][C]2.2008[/C][C]0.015806[/C][/ROW]
[ROW][C]6[/C][C]-0.071593[/C][C]-0.5546[/C][C]0.29063[/C][/ROW]
[ROW][C]7[/C][C]-0.01591[/C][C]-0.1232[/C][C]0.451166[/C][/ROW]
[ROW][C]8[/C][C]-0.038248[/C][C]-0.2963[/C][C]0.384024[/C][/ROW]
[ROW][C]9[/C][C]-0.006484[/C][C]-0.0502[/C][C]0.480054[/C][/ROW]
[ROW][C]10[/C][C]-0.153021[/C][C]-1.1853[/C][C]0.120286[/C][/ROW]
[ROW][C]11[/C][C]0.03066[/C][C]0.2375[/C][C]0.406541[/C][/ROW]
[ROW][C]12[/C][C]-0.219054[/C][C]-1.6968[/C][C]0.04746[/C][/ROW]
[ROW][C]13[/C][C]-0.075218[/C][C]-0.5826[/C][C]0.28116[/C][/ROW]
[ROW][C]14[/C][C]-0.031353[/C][C]-0.2429[/C][C]0.40447[/C][/ROW]
[ROW][C]15[/C][C]-0.095636[/C][C]-0.7408[/C][C]0.230854[/C][/ROW]
[ROW][C]16[/C][C]0.188677[/C][C]1.4615[/C][C]0.07455[/C][/ROW]
[ROW][C]17[/C][C]-0.047166[/C][C]-0.3653[/C][C]0.35807[/C][/ROW]
[ROW][C]18[/C][C]0.126152[/C][C]0.9772[/C][C]0.166204[/C][/ROW]
[ROW][C]19[/C][C]0.005315[/C][C]0.0412[/C][C]0.483648[/C][/ROW]
[ROW][C]20[/C][C]-0.017723[/C][C]-0.1373[/C][C]0.445635[/C][/ROW]
[ROW][C]21[/C][C]-0.07357[/C][C]-0.5699[/C][C]0.285447[/C][/ROW]
[ROW][C]22[/C][C]-0.07104[/C][C]-0.5503[/C][C]0.292088[/C][/ROW]
[ROW][C]23[/C][C]-0.02529[/C][C]-0.1959[/C][C]0.422678[/C][/ROW]
[ROW][C]24[/C][C]0.075024[/C][C]0.5811[/C][C]0.281663[/C][/ROW]
[ROW][C]25[/C][C]-0.070796[/C][C]-0.5484[/C][C]0.292731[/C][/ROW]
[ROW][C]26[/C][C]-0.154794[/C][C]-1.199[/C][C]0.117615[/C][/ROW]
[ROW][C]27[/C][C]-0.170107[/C][C]-1.3176[/C][C]0.096316[/C][/ROW]
[ROW][C]28[/C][C]0.105271[/C][C]0.8154[/C][C]0.209027[/C][/ROW]
[ROW][C]29[/C][C]-0.04776[/C][C]-0.3699[/C][C]0.356363[/C][/ROW]
[ROW][C]30[/C][C]-0.088165[/C][C]-0.6829[/C][C]0.248643[/C][/ROW]
[ROW][C]31[/C][C]0.057711[/C][C]0.447[/C][C]0.328234[/C][/ROW]
[ROW][C]32[/C][C]-0.001401[/C][C]-0.0109[/C][C]0.495689[/C][/ROW]
[ROW][C]33[/C][C]0.120617[/C][C]0.9343[/C][C]0.176948[/C][/ROW]
[ROW][C]34[/C][C]-0.010246[/C][C]-0.0794[/C][C]0.468504[/C][/ROW]
[ROW][C]35[/C][C]-0.000356[/C][C]-0.0028[/C][C]0.498905[/C][/ROW]
[ROW][C]36[/C][C]-0.0028[/C][C]-0.0217[/C][C]0.491383[/C][/ROW]
[ROW][C]37[/C][C]-0.064838[/C][C]-0.5022[/C][C]0.308672[/C][/ROW]
[ROW][C]38[/C][C]-0.018704[/C][C]-0.1449[/C][C]0.442645[/C][/ROW]
[ROW][C]39[/C][C]-0.039471[/C][C]-0.3057[/C][C]0.380431[/C][/ROW]
[ROW][C]40[/C][C]-0.010453[/C][C]-0.081[/C][C]0.467868[/C][/ROW]
[ROW][C]41[/C][C]-0.021967[/C][C]-0.1702[/C][C]0.43273[/C][/ROW]
[ROW][C]42[/C][C]-0.052723[/C][C]-0.4084[/C][C]0.34222[/C][/ROW]
[ROW][C]43[/C][C]0.001482[/C][C]0.0115[/C][C]0.495439[/C][/ROW]
[ROW][C]44[/C][C]-0.07917[/C][C]-0.6132[/C][C]0.271015[/C][/ROW]
[ROW][C]45[/C][C]-0.102234[/C][C]-0.7919[/C][C]0.21577[/C][/ROW]
[ROW][C]46[/C][C]0.053641[/C][C]0.4155[/C][C]0.339629[/C][/ROW]
[ROW][C]47[/C][C]0.058195[/C][C]0.4508[/C][C]0.326887[/C][/ROW]
[ROW][C]48[/C][C]0.060218[/C][C]0.4664[/C][C]0.321292[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=146568&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=146568&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
10.8366626.48080
2-0.088932-0.68890.246782
3-0.3183-2.46550.008279
4-0.108925-0.84370.201086
50.2841192.20080.015806
6-0.071593-0.55460.29063
7-0.01591-0.12320.451166
8-0.038248-0.29630.384024
9-0.006484-0.05020.480054
10-0.153021-1.18530.120286
110.030660.23750.406541
12-0.219054-1.69680.04746
13-0.075218-0.58260.28116
14-0.031353-0.24290.40447
15-0.095636-0.74080.230854
160.1886771.46150.07455
17-0.047166-0.36530.35807
180.1261520.97720.166204
190.0053150.04120.483648
20-0.017723-0.13730.445635
21-0.07357-0.56990.285447
22-0.07104-0.55030.292088
23-0.02529-0.19590.422678
240.0750240.58110.281663
25-0.070796-0.54840.292731
26-0.154794-1.1990.117615
27-0.170107-1.31760.096316
280.1052710.81540.209027
29-0.04776-0.36990.356363
30-0.088165-0.68290.248643
310.0577110.4470.328234
32-0.001401-0.01090.495689
330.1206170.93430.176948
34-0.010246-0.07940.468504
35-0.000356-0.00280.498905
36-0.0028-0.02170.491383
37-0.064838-0.50220.308672
38-0.018704-0.14490.442645
39-0.039471-0.30570.380431
40-0.010453-0.0810.467868
41-0.021967-0.17020.43273
42-0.052723-0.40840.34222
430.0014820.01150.495439
44-0.07917-0.61320.271015
45-0.102234-0.79190.21577
460.0536410.41550.339629
470.0581950.45080.326887
480.0602180.46640.321292



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