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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationWed, 02 Dec 2009 16:12:16 -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/2009/Dec/03/t1259795590cj4ub2aszao188e.htm/, Retrieved Fri, 29 Mar 2024 01:49:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=62628, Retrieved Fri, 29 Mar 2024 01:49:25 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact153
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [(Partial) Autocorrelation Function] [Autocorrelation d...] [2007-11-27 10:15:48] [0089dec2868056b990fdbd23bf9edb23]
- RMPD    [(Partial) Autocorrelation Function] [PAPER] [2009-12-02 23:12:16] [2d9a0b3c2f25bb8f387fafb994d0d852] [Current]
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Dataseries X:
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
526
511
499
555
565
542
527
510
514
517
508
493
490
469
478
528
534
518
506
502
516
528
533
536
537
524
536
587
597
581
564
564




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=62628&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=62628&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=62628&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
017.7460
10.8883796.88140
20.7256525.62090
30.6170964.786e-06
40.5741044.4471.9e-05
50.5747274.45181.9e-05
60.5638294.36742.5e-05
70.5076413.93220.00011
80.4120243.19150.001127
90.3509072.71810.004285
100.3475692.69230.004592
110.3980853.08360.001545
120.4073333.15520.001254
130.2657952.05880.021929
140.0962330.74540.229464
15-0.020248-0.15680.562053
16-0.075045-0.58130.71839
17-0.089891-0.69630.755532
18-0.11135-0.86250.80408
19-0.163598-1.26720.895014
20-0.247006-1.91330.969758
21-0.294886-2.28420.987043
22-0.291104-2.25490.986099
23-0.239964-1.85880.966015
24-0.218038-1.68890.951787
25-0.29723-2.30230.987599
26-0.392228-3.03820.998239
27-0.436663-3.38240.999365
28-0.433451-3.35750.999315
29-0.40461-3.13410.998666
30-0.373892-2.89620.997368
31-0.358305-2.77540.996329
32-0.37191-2.88080.997253
33-0.361375-2.79920.99656
34-0.310326-2.40380.990333
35-0.238832-1.850.965379
36-0.190768-1.47770.927639
37-0.208048-1.61150.943844
38-0.237535-1.83990.964637
39-0.241601-1.87140.966919
40-0.212358-1.64490.947392
41-0.171772-1.33050.905812
42-0.125153-0.96940.831888
43-0.091932-0.71210.760419
44-0.084922-0.65780.74341
45-0.072136-0.55880.710797
46-0.041835-0.32410.626487
473.1e-052e-040.499905

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 7.746 & 0 \tabularnewline
1 & 0.888379 & 6.8814 & 0 \tabularnewline
2 & 0.725652 & 5.6209 & 0 \tabularnewline
3 & 0.617096 & 4.78 & 6e-06 \tabularnewline
4 & 0.574104 & 4.447 & 1.9e-05 \tabularnewline
5 & 0.574727 & 4.4518 & 1.9e-05 \tabularnewline
6 & 0.563829 & 4.3674 & 2.5e-05 \tabularnewline
7 & 0.507641 & 3.9322 & 0.00011 \tabularnewline
8 & 0.412024 & 3.1915 & 0.001127 \tabularnewline
9 & 0.350907 & 2.7181 & 0.004285 \tabularnewline
10 & 0.347569 & 2.6923 & 0.004592 \tabularnewline
11 & 0.398085 & 3.0836 & 0.001545 \tabularnewline
12 & 0.407333 & 3.1552 & 0.001254 \tabularnewline
13 & 0.265795 & 2.0588 & 0.021929 \tabularnewline
14 & 0.096233 & 0.7454 & 0.229464 \tabularnewline
15 & -0.020248 & -0.1568 & 0.562053 \tabularnewline
16 & -0.075045 & -0.5813 & 0.71839 \tabularnewline
17 & -0.089891 & -0.6963 & 0.755532 \tabularnewline
18 & -0.11135 & -0.8625 & 0.80408 \tabularnewline
19 & -0.163598 & -1.2672 & 0.895014 \tabularnewline
20 & -0.247006 & -1.9133 & 0.969758 \tabularnewline
21 & -0.294886 & -2.2842 & 0.987043 \tabularnewline
22 & -0.291104 & -2.2549 & 0.986099 \tabularnewline
23 & -0.239964 & -1.8588 & 0.966015 \tabularnewline
24 & -0.218038 & -1.6889 & 0.951787 \tabularnewline
25 & -0.29723 & -2.3023 & 0.987599 \tabularnewline
26 & -0.392228 & -3.0382 & 0.998239 \tabularnewline
27 & -0.436663 & -3.3824 & 0.999365 \tabularnewline
28 & -0.433451 & -3.3575 & 0.999315 \tabularnewline
29 & -0.40461 & -3.1341 & 0.998666 \tabularnewline
30 & -0.373892 & -2.8962 & 0.997368 \tabularnewline
31 & -0.358305 & -2.7754 & 0.996329 \tabularnewline
32 & -0.37191 & -2.8808 & 0.997253 \tabularnewline
33 & -0.361375 & -2.7992 & 0.99656 \tabularnewline
34 & -0.310326 & -2.4038 & 0.990333 \tabularnewline
35 & -0.238832 & -1.85 & 0.965379 \tabularnewline
36 & -0.190768 & -1.4777 & 0.927639 \tabularnewline
37 & -0.208048 & -1.6115 & 0.943844 \tabularnewline
38 & -0.237535 & -1.8399 & 0.964637 \tabularnewline
39 & -0.241601 & -1.8714 & 0.966919 \tabularnewline
40 & -0.212358 & -1.6449 & 0.947392 \tabularnewline
41 & -0.171772 & -1.3305 & 0.905812 \tabularnewline
42 & -0.125153 & -0.9694 & 0.831888 \tabularnewline
43 & -0.091932 & -0.7121 & 0.760419 \tabularnewline
44 & -0.084922 & -0.6578 & 0.74341 \tabularnewline
45 & -0.072136 & -0.5588 & 0.710797 \tabularnewline
46 & -0.041835 & -0.3241 & 0.626487 \tabularnewline
47 & 3.1e-05 & 2e-04 & 0.499905 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=62628&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]7.746[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.888379[/C][C]6.8814[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.725652[/C][C]5.6209[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.617096[/C][C]4.78[/C][C]6e-06[/C][/ROW]
[ROW][C]4[/C][C]0.574104[/C][C]4.447[/C][C]1.9e-05[/C][/ROW]
[ROW][C]5[/C][C]0.574727[/C][C]4.4518[/C][C]1.9e-05[/C][/ROW]
[ROW][C]6[/C][C]0.563829[/C][C]4.3674[/C][C]2.5e-05[/C][/ROW]
[ROW][C]7[/C][C]0.507641[/C][C]3.9322[/C][C]0.00011[/C][/ROW]
[ROW][C]8[/C][C]0.412024[/C][C]3.1915[/C][C]0.001127[/C][/ROW]
[ROW][C]9[/C][C]0.350907[/C][C]2.7181[/C][C]0.004285[/C][/ROW]
[ROW][C]10[/C][C]0.347569[/C][C]2.6923[/C][C]0.004592[/C][/ROW]
[ROW][C]11[/C][C]0.398085[/C][C]3.0836[/C][C]0.001545[/C][/ROW]
[ROW][C]12[/C][C]0.407333[/C][C]3.1552[/C][C]0.001254[/C][/ROW]
[ROW][C]13[/C][C]0.265795[/C][C]2.0588[/C][C]0.021929[/C][/ROW]
[ROW][C]14[/C][C]0.096233[/C][C]0.7454[/C][C]0.229464[/C][/ROW]
[ROW][C]15[/C][C]-0.020248[/C][C]-0.1568[/C][C]0.562053[/C][/ROW]
[ROW][C]16[/C][C]-0.075045[/C][C]-0.5813[/C][C]0.71839[/C][/ROW]
[ROW][C]17[/C][C]-0.089891[/C][C]-0.6963[/C][C]0.755532[/C][/ROW]
[ROW][C]18[/C][C]-0.11135[/C][C]-0.8625[/C][C]0.80408[/C][/ROW]
[ROW][C]19[/C][C]-0.163598[/C][C]-1.2672[/C][C]0.895014[/C][/ROW]
[ROW][C]20[/C][C]-0.247006[/C][C]-1.9133[/C][C]0.969758[/C][/ROW]
[ROW][C]21[/C][C]-0.294886[/C][C]-2.2842[/C][C]0.987043[/C][/ROW]
[ROW][C]22[/C][C]-0.291104[/C][C]-2.2549[/C][C]0.986099[/C][/ROW]
[ROW][C]23[/C][C]-0.239964[/C][C]-1.8588[/C][C]0.966015[/C][/ROW]
[ROW][C]24[/C][C]-0.218038[/C][C]-1.6889[/C][C]0.951787[/C][/ROW]
[ROW][C]25[/C][C]-0.29723[/C][C]-2.3023[/C][C]0.987599[/C][/ROW]
[ROW][C]26[/C][C]-0.392228[/C][C]-3.0382[/C][C]0.998239[/C][/ROW]
[ROW][C]27[/C][C]-0.436663[/C][C]-3.3824[/C][C]0.999365[/C][/ROW]
[ROW][C]28[/C][C]-0.433451[/C][C]-3.3575[/C][C]0.999315[/C][/ROW]
[ROW][C]29[/C][C]-0.40461[/C][C]-3.1341[/C][C]0.998666[/C][/ROW]
[ROW][C]30[/C][C]-0.373892[/C][C]-2.8962[/C][C]0.997368[/C][/ROW]
[ROW][C]31[/C][C]-0.358305[/C][C]-2.7754[/C][C]0.996329[/C][/ROW]
[ROW][C]32[/C][C]-0.37191[/C][C]-2.8808[/C][C]0.997253[/C][/ROW]
[ROW][C]33[/C][C]-0.361375[/C][C]-2.7992[/C][C]0.99656[/C][/ROW]
[ROW][C]34[/C][C]-0.310326[/C][C]-2.4038[/C][C]0.990333[/C][/ROW]
[ROW][C]35[/C][C]-0.238832[/C][C]-1.85[/C][C]0.965379[/C][/ROW]
[ROW][C]36[/C][C]-0.190768[/C][C]-1.4777[/C][C]0.927639[/C][/ROW]
[ROW][C]37[/C][C]-0.208048[/C][C]-1.6115[/C][C]0.943844[/C][/ROW]
[ROW][C]38[/C][C]-0.237535[/C][C]-1.8399[/C][C]0.964637[/C][/ROW]
[ROW][C]39[/C][C]-0.241601[/C][C]-1.8714[/C][C]0.966919[/C][/ROW]
[ROW][C]40[/C][C]-0.212358[/C][C]-1.6449[/C][C]0.947392[/C][/ROW]
[ROW][C]41[/C][C]-0.171772[/C][C]-1.3305[/C][C]0.905812[/C][/ROW]
[ROW][C]42[/C][C]-0.125153[/C][C]-0.9694[/C][C]0.831888[/C][/ROW]
[ROW][C]43[/C][C]-0.091932[/C][C]-0.7121[/C][C]0.760419[/C][/ROW]
[ROW][C]44[/C][C]-0.084922[/C][C]-0.6578[/C][C]0.74341[/C][/ROW]
[ROW][C]45[/C][C]-0.072136[/C][C]-0.5588[/C][C]0.710797[/C][/ROW]
[ROW][C]46[/C][C]-0.041835[/C][C]-0.3241[/C][C]0.626487[/C][/ROW]
[ROW][C]47[/C][C]3.1e-05[/C][C]2e-04[/C][C]0.499905[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=62628&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=62628&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
017.7460
10.8883796.88140
20.7256525.62090
30.6170964.786e-06
40.5741044.4471.9e-05
50.5747274.45181.9e-05
60.5638294.36742.5e-05
70.5076413.93220.00011
80.4120243.19150.001127
90.3509072.71810.004285
100.3475692.69230.004592
110.3980853.08360.001545
120.4073333.15520.001254
130.2657952.05880.021929
140.0962330.74540.229464
15-0.020248-0.15680.562053
16-0.075045-0.58130.71839
17-0.089891-0.69630.755532
18-0.11135-0.86250.80408
19-0.163598-1.26720.895014
20-0.247006-1.91330.969758
21-0.294886-2.28420.987043
22-0.291104-2.25490.986099
23-0.239964-1.85880.966015
24-0.218038-1.68890.951787
25-0.29723-2.30230.987599
26-0.392228-3.03820.998239
27-0.436663-3.38240.999365
28-0.433451-3.35750.999315
29-0.40461-3.13410.998666
30-0.373892-2.89620.997368
31-0.358305-2.77540.996329
32-0.37191-2.88080.997253
33-0.361375-2.79920.99656
34-0.310326-2.40380.990333
35-0.238832-1.850.965379
36-0.190768-1.47770.927639
37-0.208048-1.61150.943844
38-0.237535-1.83990.964637
39-0.241601-1.87140.966919
40-0.212358-1.64490.947392
41-0.171772-1.33050.905812
42-0.125153-0.96940.831888
43-0.091932-0.71210.760419
44-0.084922-0.65780.74341
45-0.072136-0.55880.710797
46-0.041835-0.32410.626487
473.1e-052e-040.499905







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.8883796.88140
1-0.301569-2.33590.988573
20.2397631.85720.034096
30.12710.98450.164408
40.1411491.09330.139309
5-0.046667-0.36150.640496
6-0.094483-0.73190.76645
7-0.120981-0.93710.823773
80.1601021.24010.109875
90.0652660.50560.307512
100.2051931.58940.058611
11-0.245508-1.90170.968992
12-0.592492-4.58940.999988
130.1308711.01370.157392
14-0.035322-0.27360.607334
15-0.079587-0.61650.730044
16-0.080305-0.6220.731864
17-0.136262-1.05550.852281
180.1313081.01710.156593
190.0288240.22330.412041
20-0.009176-0.07110.528215
21-0.049762-0.38550.649369
22-0.002675-0.02070.508231
230.0721160.55860.289254
240.0193150.14960.440787
25-0.062303-0.48260.684431
260.0532080.41210.34085
27-0.08851-0.68560.752196
280.0164140.12710.449625
290.072330.56030.288691
300.0472410.36590.357854
31-0.04702-0.36420.64151
32-0.014354-0.11120.544081
330.0188360.14590.442242
34-0.080224-0.62140.731659
350.0646310.50060.309232
36-0.001502-0.01160.504621
37-0.08477-0.65660.743035
38-0.101493-0.78620.782566
390.0542720.42040.337851
40-0.018085-0.14010.55547
410.050390.39030.348841
42-0.126569-0.98040.834587
430.0146220.11330.4551
44-0.067767-0.52490.699214
45-0.026935-0.20860.58228
460.0750730.58150.281537
47-0.063564-0.49240.687871

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.888379 & 6.8814 & 0 \tabularnewline
1 & -0.301569 & -2.3359 & 0.988573 \tabularnewline
2 & 0.239763 & 1.8572 & 0.034096 \tabularnewline
3 & 0.1271 & 0.9845 & 0.164408 \tabularnewline
4 & 0.141149 & 1.0933 & 0.139309 \tabularnewline
5 & -0.046667 & -0.3615 & 0.640496 \tabularnewline
6 & -0.094483 & -0.7319 & 0.76645 \tabularnewline
7 & -0.120981 & -0.9371 & 0.823773 \tabularnewline
8 & 0.160102 & 1.2401 & 0.109875 \tabularnewline
9 & 0.065266 & 0.5056 & 0.307512 \tabularnewline
10 & 0.205193 & 1.5894 & 0.058611 \tabularnewline
11 & -0.245508 & -1.9017 & 0.968992 \tabularnewline
12 & -0.592492 & -4.5894 & 0.999988 \tabularnewline
13 & 0.130871 & 1.0137 & 0.157392 \tabularnewline
14 & -0.035322 & -0.2736 & 0.607334 \tabularnewline
15 & -0.079587 & -0.6165 & 0.730044 \tabularnewline
16 & -0.080305 & -0.622 & 0.731864 \tabularnewline
17 & -0.136262 & -1.0555 & 0.852281 \tabularnewline
18 & 0.131308 & 1.0171 & 0.156593 \tabularnewline
19 & 0.028824 & 0.2233 & 0.412041 \tabularnewline
20 & -0.009176 & -0.0711 & 0.528215 \tabularnewline
21 & -0.049762 & -0.3855 & 0.649369 \tabularnewline
22 & -0.002675 & -0.0207 & 0.508231 \tabularnewline
23 & 0.072116 & 0.5586 & 0.289254 \tabularnewline
24 & 0.019315 & 0.1496 & 0.440787 \tabularnewline
25 & -0.062303 & -0.4826 & 0.684431 \tabularnewline
26 & 0.053208 & 0.4121 & 0.34085 \tabularnewline
27 & -0.08851 & -0.6856 & 0.752196 \tabularnewline
28 & 0.016414 & 0.1271 & 0.449625 \tabularnewline
29 & 0.07233 & 0.5603 & 0.288691 \tabularnewline
30 & 0.047241 & 0.3659 & 0.357854 \tabularnewline
31 & -0.04702 & -0.3642 & 0.64151 \tabularnewline
32 & -0.014354 & -0.1112 & 0.544081 \tabularnewline
33 & 0.018836 & 0.1459 & 0.442242 \tabularnewline
34 & -0.080224 & -0.6214 & 0.731659 \tabularnewline
35 & 0.064631 & 0.5006 & 0.309232 \tabularnewline
36 & -0.001502 & -0.0116 & 0.504621 \tabularnewline
37 & -0.08477 & -0.6566 & 0.743035 \tabularnewline
38 & -0.101493 & -0.7862 & 0.782566 \tabularnewline
39 & 0.054272 & 0.4204 & 0.337851 \tabularnewline
40 & -0.018085 & -0.1401 & 0.55547 \tabularnewline
41 & 0.05039 & 0.3903 & 0.348841 \tabularnewline
42 & -0.126569 & -0.9804 & 0.834587 \tabularnewline
43 & 0.014622 & 0.1133 & 0.4551 \tabularnewline
44 & -0.067767 & -0.5249 & 0.699214 \tabularnewline
45 & -0.026935 & -0.2086 & 0.58228 \tabularnewline
46 & 0.075073 & 0.5815 & 0.281537 \tabularnewline
47 & -0.063564 & -0.4924 & 0.687871 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=62628&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]0.888379[/C][C]6.8814[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]-0.301569[/C][C]-2.3359[/C][C]0.988573[/C][/ROW]
[ROW][C]2[/C][C]0.239763[/C][C]1.8572[/C][C]0.034096[/C][/ROW]
[ROW][C]3[/C][C]0.1271[/C][C]0.9845[/C][C]0.164408[/C][/ROW]
[ROW][C]4[/C][C]0.141149[/C][C]1.0933[/C][C]0.139309[/C][/ROW]
[ROW][C]5[/C][C]-0.046667[/C][C]-0.3615[/C][C]0.640496[/C][/ROW]
[ROW][C]6[/C][C]-0.094483[/C][C]-0.7319[/C][C]0.76645[/C][/ROW]
[ROW][C]7[/C][C]-0.120981[/C][C]-0.9371[/C][C]0.823773[/C][/ROW]
[ROW][C]8[/C][C]0.160102[/C][C]1.2401[/C][C]0.109875[/C][/ROW]
[ROW][C]9[/C][C]0.065266[/C][C]0.5056[/C][C]0.307512[/C][/ROW]
[ROW][C]10[/C][C]0.205193[/C][C]1.5894[/C][C]0.058611[/C][/ROW]
[ROW][C]11[/C][C]-0.245508[/C][C]-1.9017[/C][C]0.968992[/C][/ROW]
[ROW][C]12[/C][C]-0.592492[/C][C]-4.5894[/C][C]0.999988[/C][/ROW]
[ROW][C]13[/C][C]0.130871[/C][C]1.0137[/C][C]0.157392[/C][/ROW]
[ROW][C]14[/C][C]-0.035322[/C][C]-0.2736[/C][C]0.607334[/C][/ROW]
[ROW][C]15[/C][C]-0.079587[/C][C]-0.6165[/C][C]0.730044[/C][/ROW]
[ROW][C]16[/C][C]-0.080305[/C][C]-0.622[/C][C]0.731864[/C][/ROW]
[ROW][C]17[/C][C]-0.136262[/C][C]-1.0555[/C][C]0.852281[/C][/ROW]
[ROW][C]18[/C][C]0.131308[/C][C]1.0171[/C][C]0.156593[/C][/ROW]
[ROW][C]19[/C][C]0.028824[/C][C]0.2233[/C][C]0.412041[/C][/ROW]
[ROW][C]20[/C][C]-0.009176[/C][C]-0.0711[/C][C]0.528215[/C][/ROW]
[ROW][C]21[/C][C]-0.049762[/C][C]-0.3855[/C][C]0.649369[/C][/ROW]
[ROW][C]22[/C][C]-0.002675[/C][C]-0.0207[/C][C]0.508231[/C][/ROW]
[ROW][C]23[/C][C]0.072116[/C][C]0.5586[/C][C]0.289254[/C][/ROW]
[ROW][C]24[/C][C]0.019315[/C][C]0.1496[/C][C]0.440787[/C][/ROW]
[ROW][C]25[/C][C]-0.062303[/C][C]-0.4826[/C][C]0.684431[/C][/ROW]
[ROW][C]26[/C][C]0.053208[/C][C]0.4121[/C][C]0.34085[/C][/ROW]
[ROW][C]27[/C][C]-0.08851[/C][C]-0.6856[/C][C]0.752196[/C][/ROW]
[ROW][C]28[/C][C]0.016414[/C][C]0.1271[/C][C]0.449625[/C][/ROW]
[ROW][C]29[/C][C]0.07233[/C][C]0.5603[/C][C]0.288691[/C][/ROW]
[ROW][C]30[/C][C]0.047241[/C][C]0.3659[/C][C]0.357854[/C][/ROW]
[ROW][C]31[/C][C]-0.04702[/C][C]-0.3642[/C][C]0.64151[/C][/ROW]
[ROW][C]32[/C][C]-0.014354[/C][C]-0.1112[/C][C]0.544081[/C][/ROW]
[ROW][C]33[/C][C]0.018836[/C][C]0.1459[/C][C]0.442242[/C][/ROW]
[ROW][C]34[/C][C]-0.080224[/C][C]-0.6214[/C][C]0.731659[/C][/ROW]
[ROW][C]35[/C][C]0.064631[/C][C]0.5006[/C][C]0.309232[/C][/ROW]
[ROW][C]36[/C][C]-0.001502[/C][C]-0.0116[/C][C]0.504621[/C][/ROW]
[ROW][C]37[/C][C]-0.08477[/C][C]-0.6566[/C][C]0.743035[/C][/ROW]
[ROW][C]38[/C][C]-0.101493[/C][C]-0.7862[/C][C]0.782566[/C][/ROW]
[ROW][C]39[/C][C]0.054272[/C][C]0.4204[/C][C]0.337851[/C][/ROW]
[ROW][C]40[/C][C]-0.018085[/C][C]-0.1401[/C][C]0.55547[/C][/ROW]
[ROW][C]41[/C][C]0.05039[/C][C]0.3903[/C][C]0.348841[/C][/ROW]
[ROW][C]42[/C][C]-0.126569[/C][C]-0.9804[/C][C]0.834587[/C][/ROW]
[ROW][C]43[/C][C]0.014622[/C][C]0.1133[/C][C]0.4551[/C][/ROW]
[ROW][C]44[/C][C]-0.067767[/C][C]-0.5249[/C][C]0.699214[/C][/ROW]
[ROW][C]45[/C][C]-0.026935[/C][C]-0.2086[/C][C]0.58228[/C][/ROW]
[ROW][C]46[/C][C]0.075073[/C][C]0.5815[/C][C]0.281537[/C][/ROW]
[ROW][C]47[/C][C]-0.063564[/C][C]-0.4924[/C][C]0.687871[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=62628&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=62628&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
00.8883796.88140
1-0.301569-2.33590.988573
20.2397631.85720.034096
30.12710.98450.164408
40.1411491.09330.139309
5-0.046667-0.36150.640496
6-0.094483-0.73190.76645
7-0.120981-0.93710.823773
80.1601021.24010.109875
90.0652660.50560.307512
100.2051931.58940.058611
11-0.245508-1.90170.968992
12-0.592492-4.58940.999988
130.1308711.01370.157392
14-0.035322-0.27360.607334
15-0.079587-0.61650.730044
16-0.080305-0.6220.731864
17-0.136262-1.05550.852281
180.1313081.01710.156593
190.0288240.22330.412041
20-0.009176-0.07110.528215
21-0.049762-0.38550.649369
22-0.002675-0.02070.508231
230.0721160.55860.289254
240.0193150.14960.440787
25-0.062303-0.48260.684431
260.0532080.41210.34085
27-0.08851-0.68560.752196
280.0164140.12710.449625
290.072330.56030.288691
300.0472410.36590.357854
31-0.04702-0.36420.64151
32-0.014354-0.11120.544081
330.0188360.14590.442242
34-0.080224-0.62140.731659
350.0646310.50060.309232
36-0.001502-0.01160.504621
37-0.08477-0.65660.743035
38-0.101493-0.78620.782566
390.0542720.42040.337851
40-0.018085-0.14010.55547
410.050390.39030.348841
42-0.126569-0.98040.834587
430.0146220.11330.4551
44-0.067767-0.52490.699214
45-0.026935-0.20860.58228
460.0750730.58150.281537
47-0.063564-0.49240.687871



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