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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationFri, 14 Dec 2007 03:39:44 -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/14/t1197627841fi0wlxfmk554usl.htm/, Retrieved Thu, 02 May 2024 18:26:57 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=3822, Retrieved Thu, 02 May 2024 18:26:57 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact184
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [ACF - Serie 1 - p...] [2007-12-14 10:39:44] [921757a21ec3444367392306fe4aab7f] [Current]
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Dataseries X:
20972
35681
37034
35645
33379
32747
49585
41745
48564
52518
45594
51442
25094
33702
39120
33842
29896
31481
43895
39477
53726
61465
50104
47460
26451
30306
42598
34485
29027
35489
40357
37532
43899
48572
43901
50556
18387
27534
38030
31917
26414
35306
38271
41454
52408
53536
53152
56421
21538
33625
42625
31295
33795
41227
45382
47206
46235
51378
46865
58608




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=3822&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=3822&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3822&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
017.7460
10.3864632.99350.002
20.1513671.17250.122819
30.0609570.47220.319258
4-0.175153-1.35670.910024
5-0.263012-2.03730.97698
6-0.419162-3.24680.999044
7-0.329088-2.54910.993313
8-0.21567-1.67060.949992
9-0.057349-0.44420.67076
100.0069960.05420.478481
110.2056711.59310.058194
120.7069535.4760
130.2972032.30210.012407
140.1218570.94390.174502
150.0430340.33330.370019
16-0.178412-1.3820.913948
17-0.228253-1.7680.958931
18-0.356357-2.76030.996176
19-0.297509-2.30450.987664
20-0.177617-1.37580.913003
21-0.115162-0.8920.812033
22-0.067331-0.52150.698046
230.1152140.89240.187861
240.4836223.74610.000203
250.2118731.64120.052998
260.0963290.74620.229243
270.0010070.00780.496901
28-0.130383-1.00990.841711
29-0.146713-1.13640.869854
30-0.275562-2.13450.981551
31-0.195594-1.51510.932497
32-0.085884-0.66530.745781
33-0.022774-0.17640.569716
340.0067540.05230.479226
350.1006620.77970.219309
360.3664432.83850.003089
370.1976781.53120.065487
380.1418111.09850.138195
390.0849620.65810.256491
40-0.031162-0.24140.594959
41-0.063079-0.48860.68655
42-0.173353-1.34280.9078
43-0.118636-0.9190.819099
44-0.076835-0.59520.723014
45-0.06913-0.53550.702851
46-0.029938-0.23190.591297
47-0.017403-0.13480.55339

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 7.746 & 0 \tabularnewline
1 & 0.386463 & 2.9935 & 0.002 \tabularnewline
2 & 0.151367 & 1.1725 & 0.122819 \tabularnewline
3 & 0.060957 & 0.4722 & 0.319258 \tabularnewline
4 & -0.175153 & -1.3567 & 0.910024 \tabularnewline
5 & -0.263012 & -2.0373 & 0.97698 \tabularnewline
6 & -0.419162 & -3.2468 & 0.999044 \tabularnewline
7 & -0.329088 & -2.5491 & 0.993313 \tabularnewline
8 & -0.21567 & -1.6706 & 0.949992 \tabularnewline
9 & -0.057349 & -0.4442 & 0.67076 \tabularnewline
10 & 0.006996 & 0.0542 & 0.478481 \tabularnewline
11 & 0.205671 & 1.5931 & 0.058194 \tabularnewline
12 & 0.706953 & 5.476 & 0 \tabularnewline
13 & 0.297203 & 2.3021 & 0.012407 \tabularnewline
14 & 0.121857 & 0.9439 & 0.174502 \tabularnewline
15 & 0.043034 & 0.3333 & 0.370019 \tabularnewline
16 & -0.178412 & -1.382 & 0.913948 \tabularnewline
17 & -0.228253 & -1.768 & 0.958931 \tabularnewline
18 & -0.356357 & -2.7603 & 0.996176 \tabularnewline
19 & -0.297509 & -2.3045 & 0.987664 \tabularnewline
20 & -0.177617 & -1.3758 & 0.913003 \tabularnewline
21 & -0.115162 & -0.892 & 0.812033 \tabularnewline
22 & -0.067331 & -0.5215 & 0.698046 \tabularnewline
23 & 0.115214 & 0.8924 & 0.187861 \tabularnewline
24 & 0.483622 & 3.7461 & 0.000203 \tabularnewline
25 & 0.211873 & 1.6412 & 0.052998 \tabularnewline
26 & 0.096329 & 0.7462 & 0.229243 \tabularnewline
27 & 0.001007 & 0.0078 & 0.496901 \tabularnewline
28 & -0.130383 & -1.0099 & 0.841711 \tabularnewline
29 & -0.146713 & -1.1364 & 0.869854 \tabularnewline
30 & -0.275562 & -2.1345 & 0.981551 \tabularnewline
31 & -0.195594 & -1.5151 & 0.932497 \tabularnewline
32 & -0.085884 & -0.6653 & 0.745781 \tabularnewline
33 & -0.022774 & -0.1764 & 0.569716 \tabularnewline
34 & 0.006754 & 0.0523 & 0.479226 \tabularnewline
35 & 0.100662 & 0.7797 & 0.219309 \tabularnewline
36 & 0.366443 & 2.8385 & 0.003089 \tabularnewline
37 & 0.197678 & 1.5312 & 0.065487 \tabularnewline
38 & 0.141811 & 1.0985 & 0.138195 \tabularnewline
39 & 0.084962 & 0.6581 & 0.256491 \tabularnewline
40 & -0.031162 & -0.2414 & 0.594959 \tabularnewline
41 & -0.063079 & -0.4886 & 0.68655 \tabularnewline
42 & -0.173353 & -1.3428 & 0.9078 \tabularnewline
43 & -0.118636 & -0.919 & 0.819099 \tabularnewline
44 & -0.076835 & -0.5952 & 0.723014 \tabularnewline
45 & -0.06913 & -0.5355 & 0.702851 \tabularnewline
46 & -0.029938 & -0.2319 & 0.591297 \tabularnewline
47 & -0.017403 & -0.1348 & 0.55339 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3822&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]0.386463[/C][C]2.9935[/C][C]0.002[/C][/ROW]
[ROW][C]2[/C][C]0.151367[/C][C]1.1725[/C][C]0.122819[/C][/ROW]
[ROW][C]3[/C][C]0.060957[/C][C]0.4722[/C][C]0.319258[/C][/ROW]
[ROW][C]4[/C][C]-0.175153[/C][C]-1.3567[/C][C]0.910024[/C][/ROW]
[ROW][C]5[/C][C]-0.263012[/C][C]-2.0373[/C][C]0.97698[/C][/ROW]
[ROW][C]6[/C][C]-0.419162[/C][C]-3.2468[/C][C]0.999044[/C][/ROW]
[ROW][C]7[/C][C]-0.329088[/C][C]-2.5491[/C][C]0.993313[/C][/ROW]
[ROW][C]8[/C][C]-0.21567[/C][C]-1.6706[/C][C]0.949992[/C][/ROW]
[ROW][C]9[/C][C]-0.057349[/C][C]-0.4442[/C][C]0.67076[/C][/ROW]
[ROW][C]10[/C][C]0.006996[/C][C]0.0542[/C][C]0.478481[/C][/ROW]
[ROW][C]11[/C][C]0.205671[/C][C]1.5931[/C][C]0.058194[/C][/ROW]
[ROW][C]12[/C][C]0.706953[/C][C]5.476[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.297203[/C][C]2.3021[/C][C]0.012407[/C][/ROW]
[ROW][C]14[/C][C]0.121857[/C][C]0.9439[/C][C]0.174502[/C][/ROW]
[ROW][C]15[/C][C]0.043034[/C][C]0.3333[/C][C]0.370019[/C][/ROW]
[ROW][C]16[/C][C]-0.178412[/C][C]-1.382[/C][C]0.913948[/C][/ROW]
[ROW][C]17[/C][C]-0.228253[/C][C]-1.768[/C][C]0.958931[/C][/ROW]
[ROW][C]18[/C][C]-0.356357[/C][C]-2.7603[/C][C]0.996176[/C][/ROW]
[ROW][C]19[/C][C]-0.297509[/C][C]-2.3045[/C][C]0.987664[/C][/ROW]
[ROW][C]20[/C][C]-0.177617[/C][C]-1.3758[/C][C]0.913003[/C][/ROW]
[ROW][C]21[/C][C]-0.115162[/C][C]-0.892[/C][C]0.812033[/C][/ROW]
[ROW][C]22[/C][C]-0.067331[/C][C]-0.5215[/C][C]0.698046[/C][/ROW]
[ROW][C]23[/C][C]0.115214[/C][C]0.8924[/C][C]0.187861[/C][/ROW]
[ROW][C]24[/C][C]0.483622[/C][C]3.7461[/C][C]0.000203[/C][/ROW]
[ROW][C]25[/C][C]0.211873[/C][C]1.6412[/C][C]0.052998[/C][/ROW]
[ROW][C]26[/C][C]0.096329[/C][C]0.7462[/C][C]0.229243[/C][/ROW]
[ROW][C]27[/C][C]0.001007[/C][C]0.0078[/C][C]0.496901[/C][/ROW]
[ROW][C]28[/C][C]-0.130383[/C][C]-1.0099[/C][C]0.841711[/C][/ROW]
[ROW][C]29[/C][C]-0.146713[/C][C]-1.1364[/C][C]0.869854[/C][/ROW]
[ROW][C]30[/C][C]-0.275562[/C][C]-2.1345[/C][C]0.981551[/C][/ROW]
[ROW][C]31[/C][C]-0.195594[/C][C]-1.5151[/C][C]0.932497[/C][/ROW]
[ROW][C]32[/C][C]-0.085884[/C][C]-0.6653[/C][C]0.745781[/C][/ROW]
[ROW][C]33[/C][C]-0.022774[/C][C]-0.1764[/C][C]0.569716[/C][/ROW]
[ROW][C]34[/C][C]0.006754[/C][C]0.0523[/C][C]0.479226[/C][/ROW]
[ROW][C]35[/C][C]0.100662[/C][C]0.7797[/C][C]0.219309[/C][/ROW]
[ROW][C]36[/C][C]0.366443[/C][C]2.8385[/C][C]0.003089[/C][/ROW]
[ROW][C]37[/C][C]0.197678[/C][C]1.5312[/C][C]0.065487[/C][/ROW]
[ROW][C]38[/C][C]0.141811[/C][C]1.0985[/C][C]0.138195[/C][/ROW]
[ROW][C]39[/C][C]0.084962[/C][C]0.6581[/C][C]0.256491[/C][/ROW]
[ROW][C]40[/C][C]-0.031162[/C][C]-0.2414[/C][C]0.594959[/C][/ROW]
[ROW][C]41[/C][C]-0.063079[/C][C]-0.4886[/C][C]0.68655[/C][/ROW]
[ROW][C]42[/C][C]-0.173353[/C][C]-1.3428[/C][C]0.9078[/C][/ROW]
[ROW][C]43[/C][C]-0.118636[/C][C]-0.919[/C][C]0.819099[/C][/ROW]
[ROW][C]44[/C][C]-0.076835[/C][C]-0.5952[/C][C]0.723014[/C][/ROW]
[ROW][C]45[/C][C]-0.06913[/C][C]-0.5355[/C][C]0.702851[/C][/ROW]
[ROW][C]46[/C][C]-0.029938[/C][C]-0.2319[/C][C]0.591297[/C][/ROW]
[ROW][C]47[/C][C]-0.017403[/C][C]-0.1348[/C][C]0.55339[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3822&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3822&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
10.3864632.99350.002
20.1513671.17250.122819
30.0609570.47220.319258
4-0.175153-1.35670.910024
5-0.263012-2.03730.97698
6-0.419162-3.24680.999044
7-0.329088-2.54910.993313
8-0.21567-1.67060.949992
9-0.057349-0.44420.67076
100.0069960.05420.478481
110.2056711.59310.058194
120.7069535.4760
130.2972032.30210.012407
140.1218570.94390.174502
150.0430340.33330.370019
16-0.178412-1.3820.913948
17-0.228253-1.7680.958931
18-0.356357-2.76030.996176
19-0.297509-2.30450.987664
20-0.177617-1.37580.913003
21-0.115162-0.8920.812033
22-0.067331-0.52150.698046
230.1152140.89240.187861
240.4836223.74610.000203
250.2118731.64120.052998
260.0963290.74620.229243
270.0010070.00780.496901
28-0.130383-1.00990.841711
29-0.146713-1.13640.869854
30-0.275562-2.13450.981551
31-0.195594-1.51510.932497
32-0.085884-0.66530.745781
33-0.022774-0.17640.569716
340.0067540.05230.479226
350.1006620.77970.219309
360.3664432.83850.003089
370.1976781.53120.065487
380.1418111.09850.138195
390.0849620.65810.256491
40-0.031162-0.24140.594959
41-0.063079-0.48860.68655
42-0.173353-1.34280.9078
43-0.118636-0.9190.819099
44-0.076835-0.59520.723014
45-0.06913-0.53550.702851
46-0.029938-0.23190.591297
47-0.017403-0.13480.55339







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.3864632.99350.002
10.0023660.01830.49272
20.001980.01530.493909
3-0.23472-1.81810.962982
4-0.147813-1.1450.871613
5-0.31246-2.42030.990724
6-0.075135-0.5820.718625
7-0.092957-0.720.762853
80.0453830.35150.363208
9-0.120403-0.93260.822627
100.137241.06310.146009
110.6281844.86594e-06
12-0.320532-2.48280.992076
13-0.117408-0.90940.816621
14-0.119305-0.92410.82044
15-0.040783-0.31590.623414
16-0.043686-0.33840.631875
170.0828010.64140.261861
180.016170.12530.45037
19-0.018777-0.14540.557577
20-0.155402-1.20370.883291
21-0.047919-0.37120.644094
220.0004480.00350.49862
23-0.08481-0.65690.743134
24-0.068528-0.53080.701247
25-0.020034-0.15520.5614
26-0.148622-1.15120.872896
270.0787940.61030.271972
280.0142660.11050.456188
29-0.063269-0.49010.687067
300.0143750.11130.455857
31-0.03505-0.27150.606531
320.1385011.07280.143823
330.0334030.25870.39836
34-0.097521-0.75540.773517
35-0.02175-0.16850.566611
360.042140.32640.372624
370.096520.74760.228799
380.260622.01880.023994
390.0192440.14910.441001
40-0.067955-0.52640.699716
410.0340190.26350.396529
42-0.027576-0.21360.584209
43-0.043174-0.33440.630386
44-0.083871-0.64970.740805
45-0.007171-0.05550.522055
46-0.085173-0.65970.744029
47-0.105631-0.81820.791764

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.386463 & 2.9935 & 0.002 \tabularnewline
1 & 0.002366 & 0.0183 & 0.49272 \tabularnewline
2 & 0.00198 & 0.0153 & 0.493909 \tabularnewline
3 & -0.23472 & -1.8181 & 0.962982 \tabularnewline
4 & -0.147813 & -1.145 & 0.871613 \tabularnewline
5 & -0.31246 & -2.4203 & 0.990724 \tabularnewline
6 & -0.075135 & -0.582 & 0.718625 \tabularnewline
7 & -0.092957 & -0.72 & 0.762853 \tabularnewline
8 & 0.045383 & 0.3515 & 0.363208 \tabularnewline
9 & -0.120403 & -0.9326 & 0.822627 \tabularnewline
10 & 0.13724 & 1.0631 & 0.146009 \tabularnewline
11 & 0.628184 & 4.8659 & 4e-06 \tabularnewline
12 & -0.320532 & -2.4828 & 0.992076 \tabularnewline
13 & -0.117408 & -0.9094 & 0.816621 \tabularnewline
14 & -0.119305 & -0.9241 & 0.82044 \tabularnewline
15 & -0.040783 & -0.3159 & 0.623414 \tabularnewline
16 & -0.043686 & -0.3384 & 0.631875 \tabularnewline
17 & 0.082801 & 0.6414 & 0.261861 \tabularnewline
18 & 0.01617 & 0.1253 & 0.45037 \tabularnewline
19 & -0.018777 & -0.1454 & 0.557577 \tabularnewline
20 & -0.155402 & -1.2037 & 0.883291 \tabularnewline
21 & -0.047919 & -0.3712 & 0.644094 \tabularnewline
22 & 0.000448 & 0.0035 & 0.49862 \tabularnewline
23 & -0.08481 & -0.6569 & 0.743134 \tabularnewline
24 & -0.068528 & -0.5308 & 0.701247 \tabularnewline
25 & -0.020034 & -0.1552 & 0.5614 \tabularnewline
26 & -0.148622 & -1.1512 & 0.872896 \tabularnewline
27 & 0.078794 & 0.6103 & 0.271972 \tabularnewline
28 & 0.014266 & 0.1105 & 0.456188 \tabularnewline
29 & -0.063269 & -0.4901 & 0.687067 \tabularnewline
30 & 0.014375 & 0.1113 & 0.455857 \tabularnewline
31 & -0.03505 & -0.2715 & 0.606531 \tabularnewline
32 & 0.138501 & 1.0728 & 0.143823 \tabularnewline
33 & 0.033403 & 0.2587 & 0.39836 \tabularnewline
34 & -0.097521 & -0.7554 & 0.773517 \tabularnewline
35 & -0.02175 & -0.1685 & 0.566611 \tabularnewline
36 & 0.04214 & 0.3264 & 0.372624 \tabularnewline
37 & 0.09652 & 0.7476 & 0.228799 \tabularnewline
38 & 0.26062 & 2.0188 & 0.023994 \tabularnewline
39 & 0.019244 & 0.1491 & 0.441001 \tabularnewline
40 & -0.067955 & -0.5264 & 0.699716 \tabularnewline
41 & 0.034019 & 0.2635 & 0.396529 \tabularnewline
42 & -0.027576 & -0.2136 & 0.584209 \tabularnewline
43 & -0.043174 & -0.3344 & 0.630386 \tabularnewline
44 & -0.083871 & -0.6497 & 0.740805 \tabularnewline
45 & -0.007171 & -0.0555 & 0.522055 \tabularnewline
46 & -0.085173 & -0.6597 & 0.744029 \tabularnewline
47 & -0.105631 & -0.8182 & 0.791764 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3822&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]0.386463[/C][C]2.9935[/C][C]0.002[/C][/ROW]
[ROW][C]1[/C][C]0.002366[/C][C]0.0183[/C][C]0.49272[/C][/ROW]
[ROW][C]2[/C][C]0.00198[/C][C]0.0153[/C][C]0.493909[/C][/ROW]
[ROW][C]3[/C][C]-0.23472[/C][C]-1.8181[/C][C]0.962982[/C][/ROW]
[ROW][C]4[/C][C]-0.147813[/C][C]-1.145[/C][C]0.871613[/C][/ROW]
[ROW][C]5[/C][C]-0.31246[/C][C]-2.4203[/C][C]0.990724[/C][/ROW]
[ROW][C]6[/C][C]-0.075135[/C][C]-0.582[/C][C]0.718625[/C][/ROW]
[ROW][C]7[/C][C]-0.092957[/C][C]-0.72[/C][C]0.762853[/C][/ROW]
[ROW][C]8[/C][C]0.045383[/C][C]0.3515[/C][C]0.363208[/C][/ROW]
[ROW][C]9[/C][C]-0.120403[/C][C]-0.9326[/C][C]0.822627[/C][/ROW]
[ROW][C]10[/C][C]0.13724[/C][C]1.0631[/C][C]0.146009[/C][/ROW]
[ROW][C]11[/C][C]0.628184[/C][C]4.8659[/C][C]4e-06[/C][/ROW]
[ROW][C]12[/C][C]-0.320532[/C][C]-2.4828[/C][C]0.992076[/C][/ROW]
[ROW][C]13[/C][C]-0.117408[/C][C]-0.9094[/C][C]0.816621[/C][/ROW]
[ROW][C]14[/C][C]-0.119305[/C][C]-0.9241[/C][C]0.82044[/C][/ROW]
[ROW][C]15[/C][C]-0.040783[/C][C]-0.3159[/C][C]0.623414[/C][/ROW]
[ROW][C]16[/C][C]-0.043686[/C][C]-0.3384[/C][C]0.631875[/C][/ROW]
[ROW][C]17[/C][C]0.082801[/C][C]0.6414[/C][C]0.261861[/C][/ROW]
[ROW][C]18[/C][C]0.01617[/C][C]0.1253[/C][C]0.45037[/C][/ROW]
[ROW][C]19[/C][C]-0.018777[/C][C]-0.1454[/C][C]0.557577[/C][/ROW]
[ROW][C]20[/C][C]-0.155402[/C][C]-1.2037[/C][C]0.883291[/C][/ROW]
[ROW][C]21[/C][C]-0.047919[/C][C]-0.3712[/C][C]0.644094[/C][/ROW]
[ROW][C]22[/C][C]0.000448[/C][C]0.0035[/C][C]0.49862[/C][/ROW]
[ROW][C]23[/C][C]-0.08481[/C][C]-0.6569[/C][C]0.743134[/C][/ROW]
[ROW][C]24[/C][C]-0.068528[/C][C]-0.5308[/C][C]0.701247[/C][/ROW]
[ROW][C]25[/C][C]-0.020034[/C][C]-0.1552[/C][C]0.5614[/C][/ROW]
[ROW][C]26[/C][C]-0.148622[/C][C]-1.1512[/C][C]0.872896[/C][/ROW]
[ROW][C]27[/C][C]0.078794[/C][C]0.6103[/C][C]0.271972[/C][/ROW]
[ROW][C]28[/C][C]0.014266[/C][C]0.1105[/C][C]0.456188[/C][/ROW]
[ROW][C]29[/C][C]-0.063269[/C][C]-0.4901[/C][C]0.687067[/C][/ROW]
[ROW][C]30[/C][C]0.014375[/C][C]0.1113[/C][C]0.455857[/C][/ROW]
[ROW][C]31[/C][C]-0.03505[/C][C]-0.2715[/C][C]0.606531[/C][/ROW]
[ROW][C]32[/C][C]0.138501[/C][C]1.0728[/C][C]0.143823[/C][/ROW]
[ROW][C]33[/C][C]0.033403[/C][C]0.2587[/C][C]0.39836[/C][/ROW]
[ROW][C]34[/C][C]-0.097521[/C][C]-0.7554[/C][C]0.773517[/C][/ROW]
[ROW][C]35[/C][C]-0.02175[/C][C]-0.1685[/C][C]0.566611[/C][/ROW]
[ROW][C]36[/C][C]0.04214[/C][C]0.3264[/C][C]0.372624[/C][/ROW]
[ROW][C]37[/C][C]0.09652[/C][C]0.7476[/C][C]0.228799[/C][/ROW]
[ROW][C]38[/C][C]0.26062[/C][C]2.0188[/C][C]0.023994[/C][/ROW]
[ROW][C]39[/C][C]0.019244[/C][C]0.1491[/C][C]0.441001[/C][/ROW]
[ROW][C]40[/C][C]-0.067955[/C][C]-0.5264[/C][C]0.699716[/C][/ROW]
[ROW][C]41[/C][C]0.034019[/C][C]0.2635[/C][C]0.396529[/C][/ROW]
[ROW][C]42[/C][C]-0.027576[/C][C]-0.2136[/C][C]0.584209[/C][/ROW]
[ROW][C]43[/C][C]-0.043174[/C][C]-0.3344[/C][C]0.630386[/C][/ROW]
[ROW][C]44[/C][C]-0.083871[/C][C]-0.6497[/C][C]0.740805[/C][/ROW]
[ROW][C]45[/C][C]-0.007171[/C][C]-0.0555[/C][C]0.522055[/C][/ROW]
[ROW][C]46[/C][C]-0.085173[/C][C]-0.6597[/C][C]0.744029[/C][/ROW]
[ROW][C]47[/C][C]-0.105631[/C][C]-0.8182[/C][C]0.791764[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3822&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3822&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
00.3864632.99350.002
10.0023660.01830.49272
20.001980.01530.493909
3-0.23472-1.81810.962982
4-0.147813-1.1450.871613
5-0.31246-2.42030.990724
6-0.075135-0.5820.718625
7-0.092957-0.720.762853
80.0453830.35150.363208
9-0.120403-0.93260.822627
100.137241.06310.146009
110.6281844.86594e-06
12-0.320532-2.48280.992076
13-0.117408-0.90940.816621
14-0.119305-0.92410.82044
15-0.040783-0.31590.623414
16-0.043686-0.33840.631875
170.0828010.64140.261861
180.016170.12530.45037
19-0.018777-0.14540.557577
20-0.155402-1.20370.883291
21-0.047919-0.37120.644094
220.0004480.00350.49862
23-0.08481-0.65690.743134
24-0.068528-0.53080.701247
25-0.020034-0.15520.5614
26-0.148622-1.15120.872896
270.0787940.61030.271972
280.0142660.11050.456188
29-0.063269-0.49010.687067
300.0143750.11130.455857
31-0.03505-0.27150.606531
320.1385011.07280.143823
330.0334030.25870.39836
34-0.097521-0.75540.773517
35-0.02175-0.16850.566611
360.042140.32640.372624
370.096520.74760.228799
380.260622.01880.023994
390.0192440.14910.441001
40-0.067955-0.52640.699716
410.0340190.26350.396529
42-0.027576-0.21360.584209
43-0.043174-0.33440.630386
44-0.083871-0.64970.740805
45-0.007171-0.05550.522055
46-0.085173-0.65970.744029
47-0.105631-0.81820.791764



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