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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationSun, 16 Dec 2007 09:41:47 -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/Dec/16/t11978223142xr81pyunuadzky.htm/, Retrieved Thu, 02 May 2024 09:34:12 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=4217, Retrieved Thu, 02 May 2024 09:34:12 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsd=1 D=1 werkloosheid
Estimated Impact203
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Autocorrelation F...] [2007-12-16 16:41:47] [0eafefa7b02d47065fceb6c46f54fbf9] [Current]
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Dataseries X:
513
503
471
471
476
475
470
461
455
456
517
525
523
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
526
511
499
555
565
542
527




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4217&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]2 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=4217&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4217&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 time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
017.81020
10.0296370.23150.408861
20.0053940.04210.483267
30.0840890.65680.256905
4-0.059611-0.46560.678412
5-0.00144-0.01120.50447
60.0798740.62380.267532
70.0677280.5290.299371
80.0498450.38930.349204
90.1932891.50960.06815
10-0.139958-1.09310.860677
11-0.052167-0.40740.657442
12-0.230623-1.80120.961694
13-0.007605-0.05940.523585
140.2016841.57520.060191
150.0404570.3160.376547
160.0402980.31470.377019
17-0.111177-0.86830.805688
180.1165950.91060.183036
190.0349030.27260.393042
200.0048280.03770.48502
210.0501670.39180.34828
220.0729980.57010.28534
230.1935051.51130.067935
24-0.102464-0.80030.786671
25-0.101826-0.79530.785235
26-0.207259-1.61870.944669
270.0663880.51850.30299
28-0.020137-0.15730.562225
290.1018530.79550.214705
30-0.086801-0.67790.749813
31-0.102736-0.80240.78728
320.0392190.30630.380205
33-0.13177-1.02920.846266
34-0.025066-0.19580.57728
35-0.038425-0.30010.617444
360.02070.16170.436049
370.0664350.51890.302863
380.0855460.66810.253284
39-0.143373-1.11980.866401
40-0.041995-0.3280.627981
410.077110.60230.27462
42-0.059284-0.4630.677503
430.0764430.5970.276345
44-0.062831-0.49070.687308
45-0.090364-0.70580.758489
46-0.035571-0.27780.608955
47-0.154987-1.21050.884619

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 7.8102 & 0 \tabularnewline
1 & 0.029637 & 0.2315 & 0.408861 \tabularnewline
2 & 0.005394 & 0.0421 & 0.483267 \tabularnewline
3 & 0.084089 & 0.6568 & 0.256905 \tabularnewline
4 & -0.059611 & -0.4656 & 0.678412 \tabularnewline
5 & -0.00144 & -0.0112 & 0.50447 \tabularnewline
6 & 0.079874 & 0.6238 & 0.267532 \tabularnewline
7 & 0.067728 & 0.529 & 0.299371 \tabularnewline
8 & 0.049845 & 0.3893 & 0.349204 \tabularnewline
9 & 0.193289 & 1.5096 & 0.06815 \tabularnewline
10 & -0.139958 & -1.0931 & 0.860677 \tabularnewline
11 & -0.052167 & -0.4074 & 0.657442 \tabularnewline
12 & -0.230623 & -1.8012 & 0.961694 \tabularnewline
13 & -0.007605 & -0.0594 & 0.523585 \tabularnewline
14 & 0.201684 & 1.5752 & 0.060191 \tabularnewline
15 & 0.040457 & 0.316 & 0.376547 \tabularnewline
16 & 0.040298 & 0.3147 & 0.377019 \tabularnewline
17 & -0.111177 & -0.8683 & 0.805688 \tabularnewline
18 & 0.116595 & 0.9106 & 0.183036 \tabularnewline
19 & 0.034903 & 0.2726 & 0.393042 \tabularnewline
20 & 0.004828 & 0.0377 & 0.48502 \tabularnewline
21 & 0.050167 & 0.3918 & 0.34828 \tabularnewline
22 & 0.072998 & 0.5701 & 0.28534 \tabularnewline
23 & 0.193505 & 1.5113 & 0.067935 \tabularnewline
24 & -0.102464 & -0.8003 & 0.786671 \tabularnewline
25 & -0.101826 & -0.7953 & 0.785235 \tabularnewline
26 & -0.207259 & -1.6187 & 0.944669 \tabularnewline
27 & 0.066388 & 0.5185 & 0.30299 \tabularnewline
28 & -0.020137 & -0.1573 & 0.562225 \tabularnewline
29 & 0.101853 & 0.7955 & 0.214705 \tabularnewline
30 & -0.086801 & -0.6779 & 0.749813 \tabularnewline
31 & -0.102736 & -0.8024 & 0.78728 \tabularnewline
32 & 0.039219 & 0.3063 & 0.380205 \tabularnewline
33 & -0.13177 & -1.0292 & 0.846266 \tabularnewline
34 & -0.025066 & -0.1958 & 0.57728 \tabularnewline
35 & -0.038425 & -0.3001 & 0.617444 \tabularnewline
36 & 0.0207 & 0.1617 & 0.436049 \tabularnewline
37 & 0.066435 & 0.5189 & 0.302863 \tabularnewline
38 & 0.085546 & 0.6681 & 0.253284 \tabularnewline
39 & -0.143373 & -1.1198 & 0.866401 \tabularnewline
40 & -0.041995 & -0.328 & 0.627981 \tabularnewline
41 & 0.07711 & 0.6023 & 0.27462 \tabularnewline
42 & -0.059284 & -0.463 & 0.677503 \tabularnewline
43 & 0.076443 & 0.597 & 0.276345 \tabularnewline
44 & -0.062831 & -0.4907 & 0.687308 \tabularnewline
45 & -0.090364 & -0.7058 & 0.758489 \tabularnewline
46 & -0.035571 & -0.2778 & 0.608955 \tabularnewline
47 & -0.154987 & -1.2105 & 0.884619 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4217&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]7.8102[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.029637[/C][C]0.2315[/C][C]0.408861[/C][/ROW]
[ROW][C]2[/C][C]0.005394[/C][C]0.0421[/C][C]0.483267[/C][/ROW]
[ROW][C]3[/C][C]0.084089[/C][C]0.6568[/C][C]0.256905[/C][/ROW]
[ROW][C]4[/C][C]-0.059611[/C][C]-0.4656[/C][C]0.678412[/C][/ROW]
[ROW][C]5[/C][C]-0.00144[/C][C]-0.0112[/C][C]0.50447[/C][/ROW]
[ROW][C]6[/C][C]0.079874[/C][C]0.6238[/C][C]0.267532[/C][/ROW]
[ROW][C]7[/C][C]0.067728[/C][C]0.529[/C][C]0.299371[/C][/ROW]
[ROW][C]8[/C][C]0.049845[/C][C]0.3893[/C][C]0.349204[/C][/ROW]
[ROW][C]9[/C][C]0.193289[/C][C]1.5096[/C][C]0.06815[/C][/ROW]
[ROW][C]10[/C][C]-0.139958[/C][C]-1.0931[/C][C]0.860677[/C][/ROW]
[ROW][C]11[/C][C]-0.052167[/C][C]-0.4074[/C][C]0.657442[/C][/ROW]
[ROW][C]12[/C][C]-0.230623[/C][C]-1.8012[/C][C]0.961694[/C][/ROW]
[ROW][C]13[/C][C]-0.007605[/C][C]-0.0594[/C][C]0.523585[/C][/ROW]
[ROW][C]14[/C][C]0.201684[/C][C]1.5752[/C][C]0.060191[/C][/ROW]
[ROW][C]15[/C][C]0.040457[/C][C]0.316[/C][C]0.376547[/C][/ROW]
[ROW][C]16[/C][C]0.040298[/C][C]0.3147[/C][C]0.377019[/C][/ROW]
[ROW][C]17[/C][C]-0.111177[/C][C]-0.8683[/C][C]0.805688[/C][/ROW]
[ROW][C]18[/C][C]0.116595[/C][C]0.9106[/C][C]0.183036[/C][/ROW]
[ROW][C]19[/C][C]0.034903[/C][C]0.2726[/C][C]0.393042[/C][/ROW]
[ROW][C]20[/C][C]0.004828[/C][C]0.0377[/C][C]0.48502[/C][/ROW]
[ROW][C]21[/C][C]0.050167[/C][C]0.3918[/C][C]0.34828[/C][/ROW]
[ROW][C]22[/C][C]0.072998[/C][C]0.5701[/C][C]0.28534[/C][/ROW]
[ROW][C]23[/C][C]0.193505[/C][C]1.5113[/C][C]0.067935[/C][/ROW]
[ROW][C]24[/C][C]-0.102464[/C][C]-0.8003[/C][C]0.786671[/C][/ROW]
[ROW][C]25[/C][C]-0.101826[/C][C]-0.7953[/C][C]0.785235[/C][/ROW]
[ROW][C]26[/C][C]-0.207259[/C][C]-1.6187[/C][C]0.944669[/C][/ROW]
[ROW][C]27[/C][C]0.066388[/C][C]0.5185[/C][C]0.30299[/C][/ROW]
[ROW][C]28[/C][C]-0.020137[/C][C]-0.1573[/C][C]0.562225[/C][/ROW]
[ROW][C]29[/C][C]0.101853[/C][C]0.7955[/C][C]0.214705[/C][/ROW]
[ROW][C]30[/C][C]-0.086801[/C][C]-0.6779[/C][C]0.749813[/C][/ROW]
[ROW][C]31[/C][C]-0.102736[/C][C]-0.8024[/C][C]0.78728[/C][/ROW]
[ROW][C]32[/C][C]0.039219[/C][C]0.3063[/C][C]0.380205[/C][/ROW]
[ROW][C]33[/C][C]-0.13177[/C][C]-1.0292[/C][C]0.846266[/C][/ROW]
[ROW][C]34[/C][C]-0.025066[/C][C]-0.1958[/C][C]0.57728[/C][/ROW]
[ROW][C]35[/C][C]-0.038425[/C][C]-0.3001[/C][C]0.617444[/C][/ROW]
[ROW][C]36[/C][C]0.0207[/C][C]0.1617[/C][C]0.436049[/C][/ROW]
[ROW][C]37[/C][C]0.066435[/C][C]0.5189[/C][C]0.302863[/C][/ROW]
[ROW][C]38[/C][C]0.085546[/C][C]0.6681[/C][C]0.253284[/C][/ROW]
[ROW][C]39[/C][C]-0.143373[/C][C]-1.1198[/C][C]0.866401[/C][/ROW]
[ROW][C]40[/C][C]-0.041995[/C][C]-0.328[/C][C]0.627981[/C][/ROW]
[ROW][C]41[/C][C]0.07711[/C][C]0.6023[/C][C]0.27462[/C][/ROW]
[ROW][C]42[/C][C]-0.059284[/C][C]-0.463[/C][C]0.677503[/C][/ROW]
[ROW][C]43[/C][C]0.076443[/C][C]0.597[/C][C]0.276345[/C][/ROW]
[ROW][C]44[/C][C]-0.062831[/C][C]-0.4907[/C][C]0.687308[/C][/ROW]
[ROW][C]45[/C][C]-0.090364[/C][C]-0.7058[/C][C]0.758489[/C][/ROW]
[ROW][C]46[/C][C]-0.035571[/C][C]-0.2778[/C][C]0.608955[/C][/ROW]
[ROW][C]47[/C][C]-0.154987[/C][C]-1.2105[/C][C]0.884619[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4217&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4217&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
017.81020
10.0296370.23150.408861
20.0053940.04210.483267
30.0840890.65680.256905
4-0.059611-0.46560.678412
5-0.00144-0.01120.50447
60.0798740.62380.267532
70.0677280.5290.299371
80.0498450.38930.349204
90.1932891.50960.06815
10-0.139958-1.09310.860677
11-0.052167-0.40740.657442
12-0.230623-1.80120.961694
13-0.007605-0.05940.523585
140.2016841.57520.060191
150.0404570.3160.376547
160.0402980.31470.377019
17-0.111177-0.86830.805688
180.1165950.91060.183036
190.0349030.27260.393042
200.0048280.03770.48502
210.0501670.39180.34828
220.0729980.57010.28534
230.1935051.51130.067935
24-0.102464-0.80030.786671
25-0.101826-0.79530.785235
26-0.207259-1.61870.944669
270.0663880.51850.30299
28-0.020137-0.15730.562225
290.1018530.79550.214705
30-0.086801-0.67790.749813
31-0.102736-0.80240.78728
320.0392190.30630.380205
33-0.13177-1.02920.846266
34-0.025066-0.19580.57728
35-0.038425-0.30010.617444
360.02070.16170.436049
370.0664350.51890.302863
380.0855460.66810.253284
39-0.143373-1.11980.866401
40-0.041995-0.3280.627981
410.077110.60230.27462
42-0.059284-0.4630.677503
430.0764430.5970.276345
44-0.062831-0.49070.687308
45-0.090364-0.70580.758489
46-0.035571-0.27780.608955
47-0.154987-1.21050.884619







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.0296370.23150.408861
10.004520.03530.485978
20.0838710.65510.257448
3-0.065073-0.50820.693438
40.0019270.01510.49402
50.0740240.57810.282647
60.0743150.58040.281886
70.0416710.32550.372974
80.1814821.41740.080724
9-0.159908-1.24890.891767
10-0.043446-0.33930.632235
11-0.279891-2.1860.983669
120.0545150.42580.335884
130.2015181.57390.060341
140.0612160.47810.317139
150.0007010.00550.497824
16-0.182622-1.42630.920564
170.1708381.33430.093535
180.1599161.2490.108222
190.040780.31850.375596
200.0513590.40110.344865
21-0.096071-0.75030.772032
220.1487961.16210.124854
23-0.191751-1.49760.930306
24-0.103396-0.80750.788756
25-0.140936-1.10070.862333
260.0602770.47080.319738
27-0.025843-0.20180.579642
280.0518840.40520.343363
29-0.113332-0.88520.810224
300.0372090.29060.386168
31-0.013625-0.10640.542198
320.0370730.28950.386571
33-0.013155-0.10270.540749
340.0884820.69110.246072
35-0.164965-1.28840.898767
36-0.051048-0.39870.654246
37-0.009336-0.07290.528944
380.0229410.17920.429197
390.0589980.46080.323296
40-0.007482-0.05840.523205
41-0.114182-0.89180.811996
420.0524520.40970.341744
43-0.015467-0.12080.547877
44-0.019098-0.14920.55904
45-0.116093-0.90670.815937
46-0.135894-1.06140.853645
47-0.059515-0.46480.678145

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.029637 & 0.2315 & 0.408861 \tabularnewline
1 & 0.00452 & 0.0353 & 0.485978 \tabularnewline
2 & 0.083871 & 0.6551 & 0.257448 \tabularnewline
3 & -0.065073 & -0.5082 & 0.693438 \tabularnewline
4 & 0.001927 & 0.0151 & 0.49402 \tabularnewline
5 & 0.074024 & 0.5781 & 0.282647 \tabularnewline
6 & 0.074315 & 0.5804 & 0.281886 \tabularnewline
7 & 0.041671 & 0.3255 & 0.372974 \tabularnewline
8 & 0.181482 & 1.4174 & 0.080724 \tabularnewline
9 & -0.159908 & -1.2489 & 0.891767 \tabularnewline
10 & -0.043446 & -0.3393 & 0.632235 \tabularnewline
11 & -0.279891 & -2.186 & 0.983669 \tabularnewline
12 & 0.054515 & 0.4258 & 0.335884 \tabularnewline
13 & 0.201518 & 1.5739 & 0.060341 \tabularnewline
14 & 0.061216 & 0.4781 & 0.317139 \tabularnewline
15 & 0.000701 & 0.0055 & 0.497824 \tabularnewline
16 & -0.182622 & -1.4263 & 0.920564 \tabularnewline
17 & 0.170838 & 1.3343 & 0.093535 \tabularnewline
18 & 0.159916 & 1.249 & 0.108222 \tabularnewline
19 & 0.04078 & 0.3185 & 0.375596 \tabularnewline
20 & 0.051359 & 0.4011 & 0.344865 \tabularnewline
21 & -0.096071 & -0.7503 & 0.772032 \tabularnewline
22 & 0.148796 & 1.1621 & 0.124854 \tabularnewline
23 & -0.191751 & -1.4976 & 0.930306 \tabularnewline
24 & -0.103396 & -0.8075 & 0.788756 \tabularnewline
25 & -0.140936 & -1.1007 & 0.862333 \tabularnewline
26 & 0.060277 & 0.4708 & 0.319738 \tabularnewline
27 & -0.025843 & -0.2018 & 0.579642 \tabularnewline
28 & 0.051884 & 0.4052 & 0.343363 \tabularnewline
29 & -0.113332 & -0.8852 & 0.810224 \tabularnewline
30 & 0.037209 & 0.2906 & 0.386168 \tabularnewline
31 & -0.013625 & -0.1064 & 0.542198 \tabularnewline
32 & 0.037073 & 0.2895 & 0.386571 \tabularnewline
33 & -0.013155 & -0.1027 & 0.540749 \tabularnewline
34 & 0.088482 & 0.6911 & 0.246072 \tabularnewline
35 & -0.164965 & -1.2884 & 0.898767 \tabularnewline
36 & -0.051048 & -0.3987 & 0.654246 \tabularnewline
37 & -0.009336 & -0.0729 & 0.528944 \tabularnewline
38 & 0.022941 & 0.1792 & 0.429197 \tabularnewline
39 & 0.058998 & 0.4608 & 0.323296 \tabularnewline
40 & -0.007482 & -0.0584 & 0.523205 \tabularnewline
41 & -0.114182 & -0.8918 & 0.811996 \tabularnewline
42 & 0.052452 & 0.4097 & 0.341744 \tabularnewline
43 & -0.015467 & -0.1208 & 0.547877 \tabularnewline
44 & -0.019098 & -0.1492 & 0.55904 \tabularnewline
45 & -0.116093 & -0.9067 & 0.815937 \tabularnewline
46 & -0.135894 & -1.0614 & 0.853645 \tabularnewline
47 & -0.059515 & -0.4648 & 0.678145 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4217&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]0.029637[/C][C]0.2315[/C][C]0.408861[/C][/ROW]
[ROW][C]1[/C][C]0.00452[/C][C]0.0353[/C][C]0.485978[/C][/ROW]
[ROW][C]2[/C][C]0.083871[/C][C]0.6551[/C][C]0.257448[/C][/ROW]
[ROW][C]3[/C][C]-0.065073[/C][C]-0.5082[/C][C]0.693438[/C][/ROW]
[ROW][C]4[/C][C]0.001927[/C][C]0.0151[/C][C]0.49402[/C][/ROW]
[ROW][C]5[/C][C]0.074024[/C][C]0.5781[/C][C]0.282647[/C][/ROW]
[ROW][C]6[/C][C]0.074315[/C][C]0.5804[/C][C]0.281886[/C][/ROW]
[ROW][C]7[/C][C]0.041671[/C][C]0.3255[/C][C]0.372974[/C][/ROW]
[ROW][C]8[/C][C]0.181482[/C][C]1.4174[/C][C]0.080724[/C][/ROW]
[ROW][C]9[/C][C]-0.159908[/C][C]-1.2489[/C][C]0.891767[/C][/ROW]
[ROW][C]10[/C][C]-0.043446[/C][C]-0.3393[/C][C]0.632235[/C][/ROW]
[ROW][C]11[/C][C]-0.279891[/C][C]-2.186[/C][C]0.983669[/C][/ROW]
[ROW][C]12[/C][C]0.054515[/C][C]0.4258[/C][C]0.335884[/C][/ROW]
[ROW][C]13[/C][C]0.201518[/C][C]1.5739[/C][C]0.060341[/C][/ROW]
[ROW][C]14[/C][C]0.061216[/C][C]0.4781[/C][C]0.317139[/C][/ROW]
[ROW][C]15[/C][C]0.000701[/C][C]0.0055[/C][C]0.497824[/C][/ROW]
[ROW][C]16[/C][C]-0.182622[/C][C]-1.4263[/C][C]0.920564[/C][/ROW]
[ROW][C]17[/C][C]0.170838[/C][C]1.3343[/C][C]0.093535[/C][/ROW]
[ROW][C]18[/C][C]0.159916[/C][C]1.249[/C][C]0.108222[/C][/ROW]
[ROW][C]19[/C][C]0.04078[/C][C]0.3185[/C][C]0.375596[/C][/ROW]
[ROW][C]20[/C][C]0.051359[/C][C]0.4011[/C][C]0.344865[/C][/ROW]
[ROW][C]21[/C][C]-0.096071[/C][C]-0.7503[/C][C]0.772032[/C][/ROW]
[ROW][C]22[/C][C]0.148796[/C][C]1.1621[/C][C]0.124854[/C][/ROW]
[ROW][C]23[/C][C]-0.191751[/C][C]-1.4976[/C][C]0.930306[/C][/ROW]
[ROW][C]24[/C][C]-0.103396[/C][C]-0.8075[/C][C]0.788756[/C][/ROW]
[ROW][C]25[/C][C]-0.140936[/C][C]-1.1007[/C][C]0.862333[/C][/ROW]
[ROW][C]26[/C][C]0.060277[/C][C]0.4708[/C][C]0.319738[/C][/ROW]
[ROW][C]27[/C][C]-0.025843[/C][C]-0.2018[/C][C]0.579642[/C][/ROW]
[ROW][C]28[/C][C]0.051884[/C][C]0.4052[/C][C]0.343363[/C][/ROW]
[ROW][C]29[/C][C]-0.113332[/C][C]-0.8852[/C][C]0.810224[/C][/ROW]
[ROW][C]30[/C][C]0.037209[/C][C]0.2906[/C][C]0.386168[/C][/ROW]
[ROW][C]31[/C][C]-0.013625[/C][C]-0.1064[/C][C]0.542198[/C][/ROW]
[ROW][C]32[/C][C]0.037073[/C][C]0.2895[/C][C]0.386571[/C][/ROW]
[ROW][C]33[/C][C]-0.013155[/C][C]-0.1027[/C][C]0.540749[/C][/ROW]
[ROW][C]34[/C][C]0.088482[/C][C]0.6911[/C][C]0.246072[/C][/ROW]
[ROW][C]35[/C][C]-0.164965[/C][C]-1.2884[/C][C]0.898767[/C][/ROW]
[ROW][C]36[/C][C]-0.051048[/C][C]-0.3987[/C][C]0.654246[/C][/ROW]
[ROW][C]37[/C][C]-0.009336[/C][C]-0.0729[/C][C]0.528944[/C][/ROW]
[ROW][C]38[/C][C]0.022941[/C][C]0.1792[/C][C]0.429197[/C][/ROW]
[ROW][C]39[/C][C]0.058998[/C][C]0.4608[/C][C]0.323296[/C][/ROW]
[ROW][C]40[/C][C]-0.007482[/C][C]-0.0584[/C][C]0.523205[/C][/ROW]
[ROW][C]41[/C][C]-0.114182[/C][C]-0.8918[/C][C]0.811996[/C][/ROW]
[ROW][C]42[/C][C]0.052452[/C][C]0.4097[/C][C]0.341744[/C][/ROW]
[ROW][C]43[/C][C]-0.015467[/C][C]-0.1208[/C][C]0.547877[/C][/ROW]
[ROW][C]44[/C][C]-0.019098[/C][C]-0.1492[/C][C]0.55904[/C][/ROW]
[ROW][C]45[/C][C]-0.116093[/C][C]-0.9067[/C][C]0.815937[/C][/ROW]
[ROW][C]46[/C][C]-0.135894[/C][C]-1.0614[/C][C]0.853645[/C][/ROW]
[ROW][C]47[/C][C]-0.059515[/C][C]-0.4648[/C][C]0.678145[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4217&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4217&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
00.0296370.23150.408861
10.004520.03530.485978
20.0838710.65510.257448
3-0.065073-0.50820.693438
40.0019270.01510.49402
50.0740240.57810.282647
60.0743150.58040.281886
70.0416710.32550.372974
80.1814821.41740.080724
9-0.159908-1.24890.891767
10-0.043446-0.33930.632235
11-0.279891-2.1860.983669
120.0545150.42580.335884
130.2015181.57390.060341
140.0612160.47810.317139
150.0007010.00550.497824
16-0.182622-1.42630.920564
170.1708381.33430.093535
180.1599161.2490.108222
190.040780.31850.375596
200.0513590.40110.344865
21-0.096071-0.75030.772032
220.1487961.16210.124854
23-0.191751-1.49760.930306
24-0.103396-0.80750.788756
25-0.140936-1.10070.862333
260.0602770.47080.319738
27-0.025843-0.20180.579642
280.0518840.40520.343363
29-0.113332-0.88520.810224
300.0372090.29060.386168
31-0.013625-0.10640.542198
320.0370730.28950.386571
33-0.013155-0.10270.540749
340.0884820.69110.246072
35-0.164965-1.28840.898767
36-0.051048-0.39870.654246
37-0.009336-0.07290.528944
380.0229410.17920.429197
390.0589980.46080.323296
40-0.007482-0.05840.523205
41-0.114182-0.89180.811996
420.0524520.40970.341744
43-0.015467-0.12080.547877
44-0.019098-0.14920.55904
45-0.116093-0.90670.815937
46-0.135894-1.06140.853645
47-0.059515-0.46480.678145



Parameters (Session):
par1 = 12 ;
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')