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of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationThu, 29 Nov 2007 04:04:43 -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/2007/Nov/29/t119633366616xje329d177fzc.htm/, Retrieved Fri, 03 May 2024 04:45:16 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7412, Retrieved Fri, 03 May 2024 04:45:16 +0000
QR Codes:

Original text written by user:Inducing Stationary in Time Series vraag 2
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact205
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Autocorrelation F...] [2007-11-29 11:04:43] [0eafefa7b02d47065fceb6c46f54fbf9] [Current]
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Dataseries X:
519
509
512
519
517
510
509
501
507
569
580
578
565
547
555
562
561
555
544
537
543
594
611
613
611
594
595
591
589
584
573
567
569
621
629
628
612
595
597
593
590
580
574
573
573
620
626
620
588
566
557
561
549
532




Summary of compuational 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 compuational 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=7412&T=0

[TABLE]
[ROW][C]Summary of compuational 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=7412&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7412&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 compuational 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
016.40310
10.0288280.18460.427231
20.0558250.35750.361294
3-0.181985-1.16530.874678
4-0.103749-0.66430.744897
50.0625790.40070.345359
6-0.127917-0.81910.791258
7-0.050869-0.32570.626854
80.1123580.71940.237975
90.1802831.15440.127516
10-0.144662-0.92630.820142
11-0.124973-0.80020.785902
12-0.110729-0.7090.758834
130.0373380.23910.406118
140.1949891.24850.109458
15-0.039735-0.25440.599783
160.0554590.35510.362164
17-0.114681-0.73430.766532
180.1503480.96270.170672
190.0031220.020.492073
200.0102570.06570.473977
210.0529750.33920.368093
22-0.042698-0.27340.607041
230.0873870.55950.289416
24-0.185973-1.19080.879711
25-0.147115-0.9420.824143
26-0.060037-0.38440.648674
270.1414950.9060.185111
28-0.036331-0.23260.591399
290.0204250.13080.448292
30-0.102632-0.65720.742627
31-0.026805-0.17160.567716
320.0567750.36350.359035
33-0.137053-0.87760.807355
34-0.033347-0.21350.584012
350.0585810.37510.354759
36-0.041958-0.26870.605233
370.0634970.40660.343216
38-0.080116-0.5130.694645
390.0026730.01710.493214
400.0181710.11640.45397
41NANANA
42NANANA
43NANANA
44NANANA
45NANANA
46NANANA
47NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 6.4031 & 0 \tabularnewline
1 & 0.028828 & 0.1846 & 0.427231 \tabularnewline
2 & 0.055825 & 0.3575 & 0.361294 \tabularnewline
3 & -0.181985 & -1.1653 & 0.874678 \tabularnewline
4 & -0.103749 & -0.6643 & 0.744897 \tabularnewline
5 & 0.062579 & 0.4007 & 0.345359 \tabularnewline
6 & -0.127917 & -0.8191 & 0.791258 \tabularnewline
7 & -0.050869 & -0.3257 & 0.626854 \tabularnewline
8 & 0.112358 & 0.7194 & 0.237975 \tabularnewline
9 & 0.180283 & 1.1544 & 0.127516 \tabularnewline
10 & -0.144662 & -0.9263 & 0.820142 \tabularnewline
11 & -0.124973 & -0.8002 & 0.785902 \tabularnewline
12 & -0.110729 & -0.709 & 0.758834 \tabularnewline
13 & 0.037338 & 0.2391 & 0.406118 \tabularnewline
14 & 0.194989 & 1.2485 & 0.109458 \tabularnewline
15 & -0.039735 & -0.2544 & 0.599783 \tabularnewline
16 & 0.055459 & 0.3551 & 0.362164 \tabularnewline
17 & -0.114681 & -0.7343 & 0.766532 \tabularnewline
18 & 0.150348 & 0.9627 & 0.170672 \tabularnewline
19 & 0.003122 & 0.02 & 0.492073 \tabularnewline
20 & 0.010257 & 0.0657 & 0.473977 \tabularnewline
21 & 0.052975 & 0.3392 & 0.368093 \tabularnewline
22 & -0.042698 & -0.2734 & 0.607041 \tabularnewline
23 & 0.087387 & 0.5595 & 0.289416 \tabularnewline
24 & -0.185973 & -1.1908 & 0.879711 \tabularnewline
25 & -0.147115 & -0.942 & 0.824143 \tabularnewline
26 & -0.060037 & -0.3844 & 0.648674 \tabularnewline
27 & 0.141495 & 0.906 & 0.185111 \tabularnewline
28 & -0.036331 & -0.2326 & 0.591399 \tabularnewline
29 & 0.020425 & 0.1308 & 0.448292 \tabularnewline
30 & -0.102632 & -0.6572 & 0.742627 \tabularnewline
31 & -0.026805 & -0.1716 & 0.567716 \tabularnewline
32 & 0.056775 & 0.3635 & 0.359035 \tabularnewline
33 & -0.137053 & -0.8776 & 0.807355 \tabularnewline
34 & -0.033347 & -0.2135 & 0.584012 \tabularnewline
35 & 0.058581 & 0.3751 & 0.354759 \tabularnewline
36 & -0.041958 & -0.2687 & 0.605233 \tabularnewline
37 & 0.063497 & 0.4066 & 0.343216 \tabularnewline
38 & -0.080116 & -0.513 & 0.694645 \tabularnewline
39 & 0.002673 & 0.0171 & 0.493214 \tabularnewline
40 & 0.018171 & 0.1164 & 0.45397 \tabularnewline
41 & NA & NA & NA \tabularnewline
42 & NA & NA & NA \tabularnewline
43 & NA & NA & NA \tabularnewline
44 & NA & NA & NA \tabularnewline
45 & NA & NA & NA \tabularnewline
46 & NA & NA & NA \tabularnewline
47 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7412&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]0[/C][C]1[/C][C]6.4031[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.028828[/C][C]0.1846[/C][C]0.427231[/C][/ROW]
[ROW][C]2[/C][C]0.055825[/C][C]0.3575[/C][C]0.361294[/C][/ROW]
[ROW][C]3[/C][C]-0.181985[/C][C]-1.1653[/C][C]0.874678[/C][/ROW]
[ROW][C]4[/C][C]-0.103749[/C][C]-0.6643[/C][C]0.744897[/C][/ROW]
[ROW][C]5[/C][C]0.062579[/C][C]0.4007[/C][C]0.345359[/C][/ROW]
[ROW][C]6[/C][C]-0.127917[/C][C]-0.8191[/C][C]0.791258[/C][/ROW]
[ROW][C]7[/C][C]-0.050869[/C][C]-0.3257[/C][C]0.626854[/C][/ROW]
[ROW][C]8[/C][C]0.112358[/C][C]0.7194[/C][C]0.237975[/C][/ROW]
[ROW][C]9[/C][C]0.180283[/C][C]1.1544[/C][C]0.127516[/C][/ROW]
[ROW][C]10[/C][C]-0.144662[/C][C]-0.9263[/C][C]0.820142[/C][/ROW]
[ROW][C]11[/C][C]-0.124973[/C][C]-0.8002[/C][C]0.785902[/C][/ROW]
[ROW][C]12[/C][C]-0.110729[/C][C]-0.709[/C][C]0.758834[/C][/ROW]
[ROW][C]13[/C][C]0.037338[/C][C]0.2391[/C][C]0.406118[/C][/ROW]
[ROW][C]14[/C][C]0.194989[/C][C]1.2485[/C][C]0.109458[/C][/ROW]
[ROW][C]15[/C][C]-0.039735[/C][C]-0.2544[/C][C]0.599783[/C][/ROW]
[ROW][C]16[/C][C]0.055459[/C][C]0.3551[/C][C]0.362164[/C][/ROW]
[ROW][C]17[/C][C]-0.114681[/C][C]-0.7343[/C][C]0.766532[/C][/ROW]
[ROW][C]18[/C][C]0.150348[/C][C]0.9627[/C][C]0.170672[/C][/ROW]
[ROW][C]19[/C][C]0.003122[/C][C]0.02[/C][C]0.492073[/C][/ROW]
[ROW][C]20[/C][C]0.010257[/C][C]0.0657[/C][C]0.473977[/C][/ROW]
[ROW][C]21[/C][C]0.052975[/C][C]0.3392[/C][C]0.368093[/C][/ROW]
[ROW][C]22[/C][C]-0.042698[/C][C]-0.2734[/C][C]0.607041[/C][/ROW]
[ROW][C]23[/C][C]0.087387[/C][C]0.5595[/C][C]0.289416[/C][/ROW]
[ROW][C]24[/C][C]-0.185973[/C][C]-1.1908[/C][C]0.879711[/C][/ROW]
[ROW][C]25[/C][C]-0.147115[/C][C]-0.942[/C][C]0.824143[/C][/ROW]
[ROW][C]26[/C][C]-0.060037[/C][C]-0.3844[/C][C]0.648674[/C][/ROW]
[ROW][C]27[/C][C]0.141495[/C][C]0.906[/C][C]0.185111[/C][/ROW]
[ROW][C]28[/C][C]-0.036331[/C][C]-0.2326[/C][C]0.591399[/C][/ROW]
[ROW][C]29[/C][C]0.020425[/C][C]0.1308[/C][C]0.448292[/C][/ROW]
[ROW][C]30[/C][C]-0.102632[/C][C]-0.6572[/C][C]0.742627[/C][/ROW]
[ROW][C]31[/C][C]-0.026805[/C][C]-0.1716[/C][C]0.567716[/C][/ROW]
[ROW][C]32[/C][C]0.056775[/C][C]0.3635[/C][C]0.359035[/C][/ROW]
[ROW][C]33[/C][C]-0.137053[/C][C]-0.8776[/C][C]0.807355[/C][/ROW]
[ROW][C]34[/C][C]-0.033347[/C][C]-0.2135[/C][C]0.584012[/C][/ROW]
[ROW][C]35[/C][C]0.058581[/C][C]0.3751[/C][C]0.354759[/C][/ROW]
[ROW][C]36[/C][C]-0.041958[/C][C]-0.2687[/C][C]0.605233[/C][/ROW]
[ROW][C]37[/C][C]0.063497[/C][C]0.4066[/C][C]0.343216[/C][/ROW]
[ROW][C]38[/C][C]-0.080116[/C][C]-0.513[/C][C]0.694645[/C][/ROW]
[ROW][C]39[/C][C]0.002673[/C][C]0.0171[/C][C]0.493214[/C][/ROW]
[ROW][C]40[/C][C]0.018171[/C][C]0.1164[/C][C]0.45397[/C][/ROW]
[ROW][C]41[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]42[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]43[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]44[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]45[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]46[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7412&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7412&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
016.40310
10.0288280.18460.427231
20.0558250.35750.361294
3-0.181985-1.16530.874678
4-0.103749-0.66430.744897
50.0625790.40070.345359
6-0.127917-0.81910.791258
7-0.050869-0.32570.626854
80.1123580.71940.237975
90.1802831.15440.127516
10-0.144662-0.92630.820142
11-0.124973-0.80020.785902
12-0.110729-0.7090.758834
130.0373380.23910.406118
140.1949891.24850.109458
15-0.039735-0.25440.599783
160.0554590.35510.362164
17-0.114681-0.73430.766532
180.1503480.96270.170672
190.0031220.020.492073
200.0102570.06570.473977
210.0529750.33920.368093
22-0.042698-0.27340.607041
230.0873870.55950.289416
24-0.185973-1.19080.879711
25-0.147115-0.9420.824143
26-0.060037-0.38440.648674
270.1414950.9060.185111
28-0.036331-0.23260.591399
290.0204250.13080.448292
30-0.102632-0.65720.742627
31-0.026805-0.17160.567716
320.0567750.36350.359035
33-0.137053-0.87760.807355
34-0.033347-0.21350.584012
350.0585810.37510.354759
36-0.041958-0.26870.605233
370.0634970.40660.343216
38-0.080116-0.5130.694645
390.0026730.01710.493214
400.0181710.11640.45397
41NANANA
42NANANA
43NANANA
44NANANA
45NANANA
46NANANA
47NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.0288280.18460.427231
10.0550390.35240.363163
2-0.185809-1.18980.879507
3-0.098704-0.6320.734557
40.0940720.60240.275127
5-0.161491-1.0340.846413
6-0.09667-0.6190.730326
70.1726611.10560.137679
80.1577631.01020.159167
9-0.284999-1.82490.962345
10-0.091261-0.58440.718909
110.0675490.43250.333812
12-0.043155-0.27630.608158
130.1151390.73730.232584
140.0374920.24010.405738
15-0.015385-0.09850.538997
16-0.200146-1.28160.896401
170.2438391.56130.063066
180.1257090.80490.212751
19-0.084789-0.54290.704937
200.0993720.63630.264062
21-0.017985-0.11520.545559
22-0.098325-0.62960.733772
23-0.114884-0.73560.766924
240.013540.08670.465668
25-0.014956-0.09580.537913
260.0291330.18650.426471
27-0.148488-0.95080.826358
280.0075520.04840.480832
29-0.060331-0.38630.649367
30-0.030562-0.19570.57709
31-0.001303-0.00830.503308
32-0.031938-0.20450.580514
33-0.165659-1.06070.85249
340.012170.07790.469134
35-0.126121-0.80760.787999
360.0064470.04130.483635
370.0368110.23570.407417
38-0.006849-0.04390.517384
39-0.063018-0.40350.655665
40NANANA
41NANANA
42NANANA
43NANANA
44NANANA
45NANANA
46NANANA
47NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.028828 & 0.1846 & 0.427231 \tabularnewline
1 & 0.055039 & 0.3524 & 0.363163 \tabularnewline
2 & -0.185809 & -1.1898 & 0.879507 \tabularnewline
3 & -0.098704 & -0.632 & 0.734557 \tabularnewline
4 & 0.094072 & 0.6024 & 0.275127 \tabularnewline
5 & -0.161491 & -1.034 & 0.846413 \tabularnewline
6 & -0.09667 & -0.619 & 0.730326 \tabularnewline
7 & 0.172661 & 1.1056 & 0.137679 \tabularnewline
8 & 0.157763 & 1.0102 & 0.159167 \tabularnewline
9 & -0.284999 & -1.8249 & 0.962345 \tabularnewline
10 & -0.091261 & -0.5844 & 0.718909 \tabularnewline
11 & 0.067549 & 0.4325 & 0.333812 \tabularnewline
12 & -0.043155 & -0.2763 & 0.608158 \tabularnewline
13 & 0.115139 & 0.7373 & 0.232584 \tabularnewline
14 & 0.037492 & 0.2401 & 0.405738 \tabularnewline
15 & -0.015385 & -0.0985 & 0.538997 \tabularnewline
16 & -0.200146 & -1.2816 & 0.896401 \tabularnewline
17 & 0.243839 & 1.5613 & 0.063066 \tabularnewline
18 & 0.125709 & 0.8049 & 0.212751 \tabularnewline
19 & -0.084789 & -0.5429 & 0.704937 \tabularnewline
20 & 0.099372 & 0.6363 & 0.264062 \tabularnewline
21 & -0.017985 & -0.1152 & 0.545559 \tabularnewline
22 & -0.098325 & -0.6296 & 0.733772 \tabularnewline
23 & -0.114884 & -0.7356 & 0.766924 \tabularnewline
24 & 0.01354 & 0.0867 & 0.465668 \tabularnewline
25 & -0.014956 & -0.0958 & 0.537913 \tabularnewline
26 & 0.029133 & 0.1865 & 0.426471 \tabularnewline
27 & -0.148488 & -0.9508 & 0.826358 \tabularnewline
28 & 0.007552 & 0.0484 & 0.480832 \tabularnewline
29 & -0.060331 & -0.3863 & 0.649367 \tabularnewline
30 & -0.030562 & -0.1957 & 0.57709 \tabularnewline
31 & -0.001303 & -0.0083 & 0.503308 \tabularnewline
32 & -0.031938 & -0.2045 & 0.580514 \tabularnewline
33 & -0.165659 & -1.0607 & 0.85249 \tabularnewline
34 & 0.01217 & 0.0779 & 0.469134 \tabularnewline
35 & -0.126121 & -0.8076 & 0.787999 \tabularnewline
36 & 0.006447 & 0.0413 & 0.483635 \tabularnewline
37 & 0.036811 & 0.2357 & 0.407417 \tabularnewline
38 & -0.006849 & -0.0439 & 0.517384 \tabularnewline
39 & -0.063018 & -0.4035 & 0.655665 \tabularnewline
40 & NA & NA & NA \tabularnewline
41 & NA & NA & NA \tabularnewline
42 & NA & NA & NA \tabularnewline
43 & NA & NA & NA \tabularnewline
44 & NA & NA & NA \tabularnewline
45 & NA & NA & NA \tabularnewline
46 & NA & NA & NA \tabularnewline
47 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7412&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]0[/C][C]0.028828[/C][C]0.1846[/C][C]0.427231[/C][/ROW]
[ROW][C]1[/C][C]0.055039[/C][C]0.3524[/C][C]0.363163[/C][/ROW]
[ROW][C]2[/C][C]-0.185809[/C][C]-1.1898[/C][C]0.879507[/C][/ROW]
[ROW][C]3[/C][C]-0.098704[/C][C]-0.632[/C][C]0.734557[/C][/ROW]
[ROW][C]4[/C][C]0.094072[/C][C]0.6024[/C][C]0.275127[/C][/ROW]
[ROW][C]5[/C][C]-0.161491[/C][C]-1.034[/C][C]0.846413[/C][/ROW]
[ROW][C]6[/C][C]-0.09667[/C][C]-0.619[/C][C]0.730326[/C][/ROW]
[ROW][C]7[/C][C]0.172661[/C][C]1.1056[/C][C]0.137679[/C][/ROW]
[ROW][C]8[/C][C]0.157763[/C][C]1.0102[/C][C]0.159167[/C][/ROW]
[ROW][C]9[/C][C]-0.284999[/C][C]-1.8249[/C][C]0.962345[/C][/ROW]
[ROW][C]10[/C][C]-0.091261[/C][C]-0.5844[/C][C]0.718909[/C][/ROW]
[ROW][C]11[/C][C]0.067549[/C][C]0.4325[/C][C]0.333812[/C][/ROW]
[ROW][C]12[/C][C]-0.043155[/C][C]-0.2763[/C][C]0.608158[/C][/ROW]
[ROW][C]13[/C][C]0.115139[/C][C]0.7373[/C][C]0.232584[/C][/ROW]
[ROW][C]14[/C][C]0.037492[/C][C]0.2401[/C][C]0.405738[/C][/ROW]
[ROW][C]15[/C][C]-0.015385[/C][C]-0.0985[/C][C]0.538997[/C][/ROW]
[ROW][C]16[/C][C]-0.200146[/C][C]-1.2816[/C][C]0.896401[/C][/ROW]
[ROW][C]17[/C][C]0.243839[/C][C]1.5613[/C][C]0.063066[/C][/ROW]
[ROW][C]18[/C][C]0.125709[/C][C]0.8049[/C][C]0.212751[/C][/ROW]
[ROW][C]19[/C][C]-0.084789[/C][C]-0.5429[/C][C]0.704937[/C][/ROW]
[ROW][C]20[/C][C]0.099372[/C][C]0.6363[/C][C]0.264062[/C][/ROW]
[ROW][C]21[/C][C]-0.017985[/C][C]-0.1152[/C][C]0.545559[/C][/ROW]
[ROW][C]22[/C][C]-0.098325[/C][C]-0.6296[/C][C]0.733772[/C][/ROW]
[ROW][C]23[/C][C]-0.114884[/C][C]-0.7356[/C][C]0.766924[/C][/ROW]
[ROW][C]24[/C][C]0.01354[/C][C]0.0867[/C][C]0.465668[/C][/ROW]
[ROW][C]25[/C][C]-0.014956[/C][C]-0.0958[/C][C]0.537913[/C][/ROW]
[ROW][C]26[/C][C]0.029133[/C][C]0.1865[/C][C]0.426471[/C][/ROW]
[ROW][C]27[/C][C]-0.148488[/C][C]-0.9508[/C][C]0.826358[/C][/ROW]
[ROW][C]28[/C][C]0.007552[/C][C]0.0484[/C][C]0.480832[/C][/ROW]
[ROW][C]29[/C][C]-0.060331[/C][C]-0.3863[/C][C]0.649367[/C][/ROW]
[ROW][C]30[/C][C]-0.030562[/C][C]-0.1957[/C][C]0.57709[/C][/ROW]
[ROW][C]31[/C][C]-0.001303[/C][C]-0.0083[/C][C]0.503308[/C][/ROW]
[ROW][C]32[/C][C]-0.031938[/C][C]-0.2045[/C][C]0.580514[/C][/ROW]
[ROW][C]33[/C][C]-0.165659[/C][C]-1.0607[/C][C]0.85249[/C][/ROW]
[ROW][C]34[/C][C]0.01217[/C][C]0.0779[/C][C]0.469134[/C][/ROW]
[ROW][C]35[/C][C]-0.126121[/C][C]-0.8076[/C][C]0.787999[/C][/ROW]
[ROW][C]36[/C][C]0.006447[/C][C]0.0413[/C][C]0.483635[/C][/ROW]
[ROW][C]37[/C][C]0.036811[/C][C]0.2357[/C][C]0.407417[/C][/ROW]
[ROW][C]38[/C][C]-0.006849[/C][C]-0.0439[/C][C]0.517384[/C][/ROW]
[ROW][C]39[/C][C]-0.063018[/C][C]-0.4035[/C][C]0.655665[/C][/ROW]
[ROW][C]40[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]41[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]42[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]43[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]44[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]45[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]46[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7412&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7412&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
00.0288280.18460.427231
10.0550390.35240.363163
2-0.185809-1.18980.879507
3-0.098704-0.6320.734557
40.0940720.60240.275127
5-0.161491-1.0340.846413
6-0.09667-0.6190.730326
70.1726611.10560.137679
80.1577631.01020.159167
9-0.284999-1.82490.962345
10-0.091261-0.58440.718909
110.0675490.43250.333812
12-0.043155-0.27630.608158
130.1151390.73730.232584
140.0374920.24010.405738
15-0.015385-0.09850.538997
16-0.200146-1.28160.896401
170.2438391.56130.063066
180.1257090.80490.212751
19-0.084789-0.54290.704937
200.0993720.63630.264062
21-0.017985-0.11520.545559
22-0.098325-0.62960.733772
23-0.114884-0.73560.766924
240.013540.08670.465668
25-0.014956-0.09580.537913
260.0291330.18650.426471
27-0.148488-0.95080.826358
280.0075520.04840.480832
29-0.060331-0.38630.649367
30-0.030562-0.19570.57709
31-0.001303-0.00830.503308
32-0.031938-0.20450.580514
33-0.165659-1.06070.85249
340.012170.07790.469134
35-0.126121-0.80760.787999
360.0064470.04130.483635
370.0368110.23570.407417
38-0.006849-0.04390.517384
39-0.063018-0.40350.655665
40NANANA
41NANANA
42NANANA
43NANANA
44NANANA
45NANANA
46NANANA
47NANANA



Parameters (Session):
par1 = 1 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; 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 1:par1) {
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(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-1,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(mytstat,lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')