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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 computationSat, 25 Dec 2010 05:30:33 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/25/t12932548832flul1ucjewsb9k.htm/, Retrieved Mon, 29 Apr 2024 00:51:15 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=115308, Retrieved Mon, 29 Apr 2024 00:51:15 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact151
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Univariate Data Series] [blog 1e tijdreeks...] [2008-10-13 19:23:31] [7173087adebe3e3a714c80ea2417b3eb]
-   PD  [Univariate Data Series] [tijdreeksen opnie...] [2008-10-19 17:18:46] [7173087adebe3e3a714c80ea2417b3eb]
- RMP     [Central Tendency] [tijdreeks 2 centr...] [2008-10-19 17:39:42] [7173087adebe3e3a714c80ea2417b3eb]
- RMP       [(Partial) Autocorrelation Function] [ACF aanvragen hyp...] [2008-12-16 14:51:47] [7d3039e6253bb5fb3b26df1537d500b4]
-   P         [(Partial) Autocorrelation Function] [ACF met ingevulde...] [2008-12-16 15:15:28] [7d3039e6253bb5fb3b26df1537d500b4]
-  MPD          [(Partial) Autocorrelation Function] [] [2009-12-18 09:05:22] [ebd107afac1bd6180acb277edd05815b]
-   PD            [(Partial) Autocorrelation Function] [] [2009-12-18 10:54:28] [ebd107afac1bd6180acb277edd05815b]
-    D                [(Partial) Autocorrelation Function] [] [2010-12-25 05:30:33] [817f44ab92560f82acbc5e6c80d9a294] [Current]
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Dataseries X:
19437.50
18885.1
16579
17203.6
19165.7
17107.6
17690.5
18664.9
15878.6
16014.6
16842.6
15986.9
16773.3
16263.1
13597.3
14285.6
15496.8
13916.8
14345.5
15761.3
14531.6
15076.6
15816.8
17180.4
20432.3
21289.5
18203.6
20159.5
21053.2
19673.6
21473.3
20244.7
19049.6
20194.3
18021.9
19537.3
20286.6
17967.7
16409.9
17802.7
18509.9
18161.3
16721.3
19106.9
16772.1
17463.6
16162.3
17862.9
17664.9
17180.8
15672.7
15189.8
17699.4
17444.6
15930.7
19691.6
16698
16896.2
17972.4
17637.4
15214




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=115308&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=115308&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=115308&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'RServer@AstonUniversity' @ vre.aston.ac.uk







Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.201278-1.39450.084795
20.0124450.08620.465826
30.439273.04340.001894
4-0.244241-1.69220.04855
50.16611.15080.127763
60.2079991.44110.07803
7-0.379454-2.62890.005736
80.074660.51730.303676
90.0276530.19160.424437
10-0.230419-1.59640.058483
110.0292060.20230.420251
12-0.188381-1.30510.099033
13-0.20387-1.41240.082134
140.0218460.15140.440165
15-0.009919-0.06870.472749
16-0.149356-1.03480.152981
170.0091420.06330.47488
18-0.094676-0.65590.257498
19-0.023469-0.16260.43576
200.1854881.28510.102463
21-0.191562-1.32720.095364
220.0185830.12870.449049
230.1842931.27680.103904
24-0.073389-0.50850.306733
250.1141520.79090.216456
260.1155210.80040.213724
27-0.133843-0.92730.179207
280.1096250.75950.225633
290.0746740.51740.303641
30-0.023808-0.16490.434838
310.0257020.17810.42971
320.01020.07070.471978
33-0.016241-0.11250.455439
340.0243130.16840.43347
350.0056520.03920.484464
36-0.110477-0.76540.223888
37-0.039621-0.27450.392439
380.0265780.18410.427341
39-0.038621-0.26760.395086
40-0.039336-0.27250.393194
410.0027830.01930.492348
42-0.01936-0.13410.446931
430.0070670.0490.480578
440.0061530.04260.483088
450.0063320.04390.482595
460.0066450.0460.481735
47-0.000761-0.00530.497907
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.201278 & -1.3945 & 0.084795 \tabularnewline
2 & 0.012445 & 0.0862 & 0.465826 \tabularnewline
3 & 0.43927 & 3.0434 & 0.001894 \tabularnewline
4 & -0.244241 & -1.6922 & 0.04855 \tabularnewline
5 & 0.1661 & 1.1508 & 0.127763 \tabularnewline
6 & 0.207999 & 1.4411 & 0.07803 \tabularnewline
7 & -0.379454 & -2.6289 & 0.005736 \tabularnewline
8 & 0.07466 & 0.5173 & 0.303676 \tabularnewline
9 & 0.027653 & 0.1916 & 0.424437 \tabularnewline
10 & -0.230419 & -1.5964 & 0.058483 \tabularnewline
11 & 0.029206 & 0.2023 & 0.420251 \tabularnewline
12 & -0.188381 & -1.3051 & 0.099033 \tabularnewline
13 & -0.20387 & -1.4124 & 0.082134 \tabularnewline
14 & 0.021846 & 0.1514 & 0.440165 \tabularnewline
15 & -0.009919 & -0.0687 & 0.472749 \tabularnewline
16 & -0.149356 & -1.0348 & 0.152981 \tabularnewline
17 & 0.009142 & 0.0633 & 0.47488 \tabularnewline
18 & -0.094676 & -0.6559 & 0.257498 \tabularnewline
19 & -0.023469 & -0.1626 & 0.43576 \tabularnewline
20 & 0.185488 & 1.2851 & 0.102463 \tabularnewline
21 & -0.191562 & -1.3272 & 0.095364 \tabularnewline
22 & 0.018583 & 0.1287 & 0.449049 \tabularnewline
23 & 0.184293 & 1.2768 & 0.103904 \tabularnewline
24 & -0.073389 & -0.5085 & 0.306733 \tabularnewline
25 & 0.114152 & 0.7909 & 0.216456 \tabularnewline
26 & 0.115521 & 0.8004 & 0.213724 \tabularnewline
27 & -0.133843 & -0.9273 & 0.179207 \tabularnewline
28 & 0.109625 & 0.7595 & 0.225633 \tabularnewline
29 & 0.074674 & 0.5174 & 0.303641 \tabularnewline
30 & -0.023808 & -0.1649 & 0.434838 \tabularnewline
31 & 0.025702 & 0.1781 & 0.42971 \tabularnewline
32 & 0.0102 & 0.0707 & 0.471978 \tabularnewline
33 & -0.016241 & -0.1125 & 0.455439 \tabularnewline
34 & 0.024313 & 0.1684 & 0.43347 \tabularnewline
35 & 0.005652 & 0.0392 & 0.484464 \tabularnewline
36 & -0.110477 & -0.7654 & 0.223888 \tabularnewline
37 & -0.039621 & -0.2745 & 0.392439 \tabularnewline
38 & 0.026578 & 0.1841 & 0.427341 \tabularnewline
39 & -0.038621 & -0.2676 & 0.395086 \tabularnewline
40 & -0.039336 & -0.2725 & 0.393194 \tabularnewline
41 & 0.002783 & 0.0193 & 0.492348 \tabularnewline
42 & -0.01936 & -0.1341 & 0.446931 \tabularnewline
43 & 0.007067 & 0.049 & 0.480578 \tabularnewline
44 & 0.006153 & 0.0426 & 0.483088 \tabularnewline
45 & 0.006332 & 0.0439 & 0.482595 \tabularnewline
46 & 0.006645 & 0.046 & 0.481735 \tabularnewline
47 & -0.000761 & -0.0053 & 0.497907 \tabularnewline
48 & NA & NA & NA \tabularnewline
49 & NA & NA & NA \tabularnewline
50 & NA & NA & NA \tabularnewline
51 & NA & NA & NA \tabularnewline
52 & NA & NA & NA \tabularnewline
53 & NA & NA & NA \tabularnewline
54 & NA & NA & NA \tabularnewline
55 & NA & NA & NA \tabularnewline
56 & NA & NA & NA \tabularnewline
57 & NA & NA & NA \tabularnewline
58 & NA & NA & NA \tabularnewline
59 & NA & NA & NA \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=115308&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]-0.201278[/C][C]-1.3945[/C][C]0.084795[/C][/ROW]
[ROW][C]2[/C][C]0.012445[/C][C]0.0862[/C][C]0.465826[/C][/ROW]
[ROW][C]3[/C][C]0.43927[/C][C]3.0434[/C][C]0.001894[/C][/ROW]
[ROW][C]4[/C][C]-0.244241[/C][C]-1.6922[/C][C]0.04855[/C][/ROW]
[ROW][C]5[/C][C]0.1661[/C][C]1.1508[/C][C]0.127763[/C][/ROW]
[ROW][C]6[/C][C]0.207999[/C][C]1.4411[/C][C]0.07803[/C][/ROW]
[ROW][C]7[/C][C]-0.379454[/C][C]-2.6289[/C][C]0.005736[/C][/ROW]
[ROW][C]8[/C][C]0.07466[/C][C]0.5173[/C][C]0.303676[/C][/ROW]
[ROW][C]9[/C][C]0.027653[/C][C]0.1916[/C][C]0.424437[/C][/ROW]
[ROW][C]10[/C][C]-0.230419[/C][C]-1.5964[/C][C]0.058483[/C][/ROW]
[ROW][C]11[/C][C]0.029206[/C][C]0.2023[/C][C]0.420251[/C][/ROW]
[ROW][C]12[/C][C]-0.188381[/C][C]-1.3051[/C][C]0.099033[/C][/ROW]
[ROW][C]13[/C][C]-0.20387[/C][C]-1.4124[/C][C]0.082134[/C][/ROW]
[ROW][C]14[/C][C]0.021846[/C][C]0.1514[/C][C]0.440165[/C][/ROW]
[ROW][C]15[/C][C]-0.009919[/C][C]-0.0687[/C][C]0.472749[/C][/ROW]
[ROW][C]16[/C][C]-0.149356[/C][C]-1.0348[/C][C]0.152981[/C][/ROW]
[ROW][C]17[/C][C]0.009142[/C][C]0.0633[/C][C]0.47488[/C][/ROW]
[ROW][C]18[/C][C]-0.094676[/C][C]-0.6559[/C][C]0.257498[/C][/ROW]
[ROW][C]19[/C][C]-0.023469[/C][C]-0.1626[/C][C]0.43576[/C][/ROW]
[ROW][C]20[/C][C]0.185488[/C][C]1.2851[/C][C]0.102463[/C][/ROW]
[ROW][C]21[/C][C]-0.191562[/C][C]-1.3272[/C][C]0.095364[/C][/ROW]
[ROW][C]22[/C][C]0.018583[/C][C]0.1287[/C][C]0.449049[/C][/ROW]
[ROW][C]23[/C][C]0.184293[/C][C]1.2768[/C][C]0.103904[/C][/ROW]
[ROW][C]24[/C][C]-0.073389[/C][C]-0.5085[/C][C]0.306733[/C][/ROW]
[ROW][C]25[/C][C]0.114152[/C][C]0.7909[/C][C]0.216456[/C][/ROW]
[ROW][C]26[/C][C]0.115521[/C][C]0.8004[/C][C]0.213724[/C][/ROW]
[ROW][C]27[/C][C]-0.133843[/C][C]-0.9273[/C][C]0.179207[/C][/ROW]
[ROW][C]28[/C][C]0.109625[/C][C]0.7595[/C][C]0.225633[/C][/ROW]
[ROW][C]29[/C][C]0.074674[/C][C]0.5174[/C][C]0.303641[/C][/ROW]
[ROW][C]30[/C][C]-0.023808[/C][C]-0.1649[/C][C]0.434838[/C][/ROW]
[ROW][C]31[/C][C]0.025702[/C][C]0.1781[/C][C]0.42971[/C][/ROW]
[ROW][C]32[/C][C]0.0102[/C][C]0.0707[/C][C]0.471978[/C][/ROW]
[ROW][C]33[/C][C]-0.016241[/C][C]-0.1125[/C][C]0.455439[/C][/ROW]
[ROW][C]34[/C][C]0.024313[/C][C]0.1684[/C][C]0.43347[/C][/ROW]
[ROW][C]35[/C][C]0.005652[/C][C]0.0392[/C][C]0.484464[/C][/ROW]
[ROW][C]36[/C][C]-0.110477[/C][C]-0.7654[/C][C]0.223888[/C][/ROW]
[ROW][C]37[/C][C]-0.039621[/C][C]-0.2745[/C][C]0.392439[/C][/ROW]
[ROW][C]38[/C][C]0.026578[/C][C]0.1841[/C][C]0.427341[/C][/ROW]
[ROW][C]39[/C][C]-0.038621[/C][C]-0.2676[/C][C]0.395086[/C][/ROW]
[ROW][C]40[/C][C]-0.039336[/C][C]-0.2725[/C][C]0.393194[/C][/ROW]
[ROW][C]41[/C][C]0.002783[/C][C]0.0193[/C][C]0.492348[/C][/ROW]
[ROW][C]42[/C][C]-0.01936[/C][C]-0.1341[/C][C]0.446931[/C][/ROW]
[ROW][C]43[/C][C]0.007067[/C][C]0.049[/C][C]0.480578[/C][/ROW]
[ROW][C]44[/C][C]0.006153[/C][C]0.0426[/C][C]0.483088[/C][/ROW]
[ROW][C]45[/C][C]0.006332[/C][C]0.0439[/C][C]0.482595[/C][/ROW]
[ROW][C]46[/C][C]0.006645[/C][C]0.046[/C][C]0.481735[/C][/ROW]
[ROW][C]47[/C][C]-0.000761[/C][C]-0.0053[/C][C]0.497907[/C][/ROW]
[ROW][C]48[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]49[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]50[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]51[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]52[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]53[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]54[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]55[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]56[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]57[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]58[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]60[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=115308&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=115308&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
1-0.201278-1.39450.084795
20.0124450.08620.465826
30.439273.04340.001894
4-0.244241-1.69220.04855
50.16611.15080.127763
60.2079991.44110.07803
7-0.379454-2.62890.005736
80.074660.51730.303676
90.0276530.19160.424437
10-0.230419-1.59640.058483
110.0292060.20230.420251
12-0.188381-1.30510.099033
13-0.20387-1.41240.082134
140.0218460.15140.440165
15-0.009919-0.06870.472749
16-0.149356-1.03480.152981
170.0091420.06330.47488
18-0.094676-0.65590.257498
19-0.023469-0.16260.43576
200.1854881.28510.102463
21-0.191562-1.32720.095364
220.0185830.12870.449049
230.1842931.27680.103904
24-0.073389-0.50850.306733
250.1141520.79090.216456
260.1155210.80040.213724
27-0.133843-0.92730.179207
280.1096250.75950.225633
290.0746740.51740.303641
30-0.023808-0.16490.434838
310.0257020.17810.42971
320.01020.07070.471978
33-0.016241-0.11250.455439
340.0243130.16840.43347
350.0056520.03920.484464
36-0.110477-0.76540.223888
37-0.039621-0.27450.392439
380.0265780.18410.427341
39-0.038621-0.26760.395086
40-0.039336-0.27250.393194
410.0027830.01930.492348
42-0.01936-0.13410.446931
430.0070670.0490.480578
440.0061530.04260.483088
450.0063320.04390.482595
460.0066450.0460.481735
47-0.000761-0.00530.497907
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.201278-1.39450.084795
2-0.029253-0.20270.420124
30.4547573.15060.001402
4-0.089897-0.62280.268174
50.0982420.68060.249685
60.094240.65290.258463
7-0.278942-1.93260.029601
8-0.22121-1.53260.065971
9-0.057772-0.40030.345371
100.0362980.25150.401259
11-0.083143-0.5760.283641
12-0.184071-1.27530.104174
13-0.120249-0.83310.204454
14-0.098195-0.68030.249788
150.1493111.03450.153053
160.0032920.02280.490948
17-0.003438-0.02380.490547
18-0.171385-1.18740.120459
19-0.095911-0.66450.254779
200.121120.83910.202774
21-0.174876-1.21160.115803
22-0.037186-0.25760.398895
230.0846330.58640.280192
240.07770.53830.296421
25-0.096299-0.66720.253927
26-0.008702-0.06030.476089
270.0588040.40740.342761
28-0.133129-0.92230.180481
29-0.087207-0.60420.274281
300.1027010.71150.240099
31-0.020611-0.14280.443525
32-0.015779-0.10930.456702
330.0202670.14040.44446
340.0152160.10540.45824
35-0.114204-0.79120.216352
36-0.063789-0.44190.330258
370.0159410.11040.45626
38-0.013579-0.09410.462721
39-0.009435-0.06540.474077
40-0.021758-0.15070.440406
410.0640520.44380.329603
420.0177320.12290.451368
43-0.020305-0.14070.444358
440.0145340.10070.460105
45-0.010757-0.07450.470451
46-0.015707-0.10880.456899
47-0.022878-0.15850.437363
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.201278 & -1.3945 & 0.084795 \tabularnewline
2 & -0.029253 & -0.2027 & 0.420124 \tabularnewline
3 & 0.454757 & 3.1506 & 0.001402 \tabularnewline
4 & -0.089897 & -0.6228 & 0.268174 \tabularnewline
5 & 0.098242 & 0.6806 & 0.249685 \tabularnewline
6 & 0.09424 & 0.6529 & 0.258463 \tabularnewline
7 & -0.278942 & -1.9326 & 0.029601 \tabularnewline
8 & -0.22121 & -1.5326 & 0.065971 \tabularnewline
9 & -0.057772 & -0.4003 & 0.345371 \tabularnewline
10 & 0.036298 & 0.2515 & 0.401259 \tabularnewline
11 & -0.083143 & -0.576 & 0.283641 \tabularnewline
12 & -0.184071 & -1.2753 & 0.104174 \tabularnewline
13 & -0.120249 & -0.8331 & 0.204454 \tabularnewline
14 & -0.098195 & -0.6803 & 0.249788 \tabularnewline
15 & 0.149311 & 1.0345 & 0.153053 \tabularnewline
16 & 0.003292 & 0.0228 & 0.490948 \tabularnewline
17 & -0.003438 & -0.0238 & 0.490547 \tabularnewline
18 & -0.171385 & -1.1874 & 0.120459 \tabularnewline
19 & -0.095911 & -0.6645 & 0.254779 \tabularnewline
20 & 0.12112 & 0.8391 & 0.202774 \tabularnewline
21 & -0.174876 & -1.2116 & 0.115803 \tabularnewline
22 & -0.037186 & -0.2576 & 0.398895 \tabularnewline
23 & 0.084633 & 0.5864 & 0.280192 \tabularnewline
24 & 0.0777 & 0.5383 & 0.296421 \tabularnewline
25 & -0.096299 & -0.6672 & 0.253927 \tabularnewline
26 & -0.008702 & -0.0603 & 0.476089 \tabularnewline
27 & 0.058804 & 0.4074 & 0.342761 \tabularnewline
28 & -0.133129 & -0.9223 & 0.180481 \tabularnewline
29 & -0.087207 & -0.6042 & 0.274281 \tabularnewline
30 & 0.102701 & 0.7115 & 0.240099 \tabularnewline
31 & -0.020611 & -0.1428 & 0.443525 \tabularnewline
32 & -0.015779 & -0.1093 & 0.456702 \tabularnewline
33 & 0.020267 & 0.1404 & 0.44446 \tabularnewline
34 & 0.015216 & 0.1054 & 0.45824 \tabularnewline
35 & -0.114204 & -0.7912 & 0.216352 \tabularnewline
36 & -0.063789 & -0.4419 & 0.330258 \tabularnewline
37 & 0.015941 & 0.1104 & 0.45626 \tabularnewline
38 & -0.013579 & -0.0941 & 0.462721 \tabularnewline
39 & -0.009435 & -0.0654 & 0.474077 \tabularnewline
40 & -0.021758 & -0.1507 & 0.440406 \tabularnewline
41 & 0.064052 & 0.4438 & 0.329603 \tabularnewline
42 & 0.017732 & 0.1229 & 0.451368 \tabularnewline
43 & -0.020305 & -0.1407 & 0.444358 \tabularnewline
44 & 0.014534 & 0.1007 & 0.460105 \tabularnewline
45 & -0.010757 & -0.0745 & 0.470451 \tabularnewline
46 & -0.015707 & -0.1088 & 0.456899 \tabularnewline
47 & -0.022878 & -0.1585 & 0.437363 \tabularnewline
48 & NA & NA & NA \tabularnewline
49 & NA & NA & NA \tabularnewline
50 & NA & NA & NA \tabularnewline
51 & NA & NA & NA \tabularnewline
52 & NA & NA & NA \tabularnewline
53 & NA & NA & NA \tabularnewline
54 & NA & NA & NA \tabularnewline
55 & NA & NA & NA \tabularnewline
56 & NA & NA & NA \tabularnewline
57 & NA & NA & NA \tabularnewline
58 & NA & NA & NA \tabularnewline
59 & NA & NA & NA \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=115308&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]-0.201278[/C][C]-1.3945[/C][C]0.084795[/C][/ROW]
[ROW][C]2[/C][C]-0.029253[/C][C]-0.2027[/C][C]0.420124[/C][/ROW]
[ROW][C]3[/C][C]0.454757[/C][C]3.1506[/C][C]0.001402[/C][/ROW]
[ROW][C]4[/C][C]-0.089897[/C][C]-0.6228[/C][C]0.268174[/C][/ROW]
[ROW][C]5[/C][C]0.098242[/C][C]0.6806[/C][C]0.249685[/C][/ROW]
[ROW][C]6[/C][C]0.09424[/C][C]0.6529[/C][C]0.258463[/C][/ROW]
[ROW][C]7[/C][C]-0.278942[/C][C]-1.9326[/C][C]0.029601[/C][/ROW]
[ROW][C]8[/C][C]-0.22121[/C][C]-1.5326[/C][C]0.065971[/C][/ROW]
[ROW][C]9[/C][C]-0.057772[/C][C]-0.4003[/C][C]0.345371[/C][/ROW]
[ROW][C]10[/C][C]0.036298[/C][C]0.2515[/C][C]0.401259[/C][/ROW]
[ROW][C]11[/C][C]-0.083143[/C][C]-0.576[/C][C]0.283641[/C][/ROW]
[ROW][C]12[/C][C]-0.184071[/C][C]-1.2753[/C][C]0.104174[/C][/ROW]
[ROW][C]13[/C][C]-0.120249[/C][C]-0.8331[/C][C]0.204454[/C][/ROW]
[ROW][C]14[/C][C]-0.098195[/C][C]-0.6803[/C][C]0.249788[/C][/ROW]
[ROW][C]15[/C][C]0.149311[/C][C]1.0345[/C][C]0.153053[/C][/ROW]
[ROW][C]16[/C][C]0.003292[/C][C]0.0228[/C][C]0.490948[/C][/ROW]
[ROW][C]17[/C][C]-0.003438[/C][C]-0.0238[/C][C]0.490547[/C][/ROW]
[ROW][C]18[/C][C]-0.171385[/C][C]-1.1874[/C][C]0.120459[/C][/ROW]
[ROW][C]19[/C][C]-0.095911[/C][C]-0.6645[/C][C]0.254779[/C][/ROW]
[ROW][C]20[/C][C]0.12112[/C][C]0.8391[/C][C]0.202774[/C][/ROW]
[ROW][C]21[/C][C]-0.174876[/C][C]-1.2116[/C][C]0.115803[/C][/ROW]
[ROW][C]22[/C][C]-0.037186[/C][C]-0.2576[/C][C]0.398895[/C][/ROW]
[ROW][C]23[/C][C]0.084633[/C][C]0.5864[/C][C]0.280192[/C][/ROW]
[ROW][C]24[/C][C]0.0777[/C][C]0.5383[/C][C]0.296421[/C][/ROW]
[ROW][C]25[/C][C]-0.096299[/C][C]-0.6672[/C][C]0.253927[/C][/ROW]
[ROW][C]26[/C][C]-0.008702[/C][C]-0.0603[/C][C]0.476089[/C][/ROW]
[ROW][C]27[/C][C]0.058804[/C][C]0.4074[/C][C]0.342761[/C][/ROW]
[ROW][C]28[/C][C]-0.133129[/C][C]-0.9223[/C][C]0.180481[/C][/ROW]
[ROW][C]29[/C][C]-0.087207[/C][C]-0.6042[/C][C]0.274281[/C][/ROW]
[ROW][C]30[/C][C]0.102701[/C][C]0.7115[/C][C]0.240099[/C][/ROW]
[ROW][C]31[/C][C]-0.020611[/C][C]-0.1428[/C][C]0.443525[/C][/ROW]
[ROW][C]32[/C][C]-0.015779[/C][C]-0.1093[/C][C]0.456702[/C][/ROW]
[ROW][C]33[/C][C]0.020267[/C][C]0.1404[/C][C]0.44446[/C][/ROW]
[ROW][C]34[/C][C]0.015216[/C][C]0.1054[/C][C]0.45824[/C][/ROW]
[ROW][C]35[/C][C]-0.114204[/C][C]-0.7912[/C][C]0.216352[/C][/ROW]
[ROW][C]36[/C][C]-0.063789[/C][C]-0.4419[/C][C]0.330258[/C][/ROW]
[ROW][C]37[/C][C]0.015941[/C][C]0.1104[/C][C]0.45626[/C][/ROW]
[ROW][C]38[/C][C]-0.013579[/C][C]-0.0941[/C][C]0.462721[/C][/ROW]
[ROW][C]39[/C][C]-0.009435[/C][C]-0.0654[/C][C]0.474077[/C][/ROW]
[ROW][C]40[/C][C]-0.021758[/C][C]-0.1507[/C][C]0.440406[/C][/ROW]
[ROW][C]41[/C][C]0.064052[/C][C]0.4438[/C][C]0.329603[/C][/ROW]
[ROW][C]42[/C][C]0.017732[/C][C]0.1229[/C][C]0.451368[/C][/ROW]
[ROW][C]43[/C][C]-0.020305[/C][C]-0.1407[/C][C]0.444358[/C][/ROW]
[ROW][C]44[/C][C]0.014534[/C][C]0.1007[/C][C]0.460105[/C][/ROW]
[ROW][C]45[/C][C]-0.010757[/C][C]-0.0745[/C][C]0.470451[/C][/ROW]
[ROW][C]46[/C][C]-0.015707[/C][C]-0.1088[/C][C]0.456899[/C][/ROW]
[ROW][C]47[/C][C]-0.022878[/C][C]-0.1585[/C][C]0.437363[/C][/ROW]
[ROW][C]48[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]49[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]50[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]51[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]52[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]53[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]54[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]55[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]56[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]57[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]58[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]60[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=115308&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=115308&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
1-0.201278-1.39450.084795
2-0.029253-0.20270.420124
30.4547573.15060.001402
4-0.089897-0.62280.268174
50.0982420.68060.249685
60.094240.65290.258463
7-0.278942-1.93260.029601
8-0.22121-1.53260.065971
9-0.057772-0.40030.345371
100.0362980.25150.401259
11-0.083143-0.5760.283641
12-0.184071-1.27530.104174
13-0.120249-0.83310.204454
14-0.098195-0.68030.249788
150.1493111.03450.153053
160.0032920.02280.490948
17-0.003438-0.02380.490547
18-0.171385-1.18740.120459
19-0.095911-0.66450.254779
200.121120.83910.202774
21-0.174876-1.21160.115803
22-0.037186-0.25760.398895
230.0846330.58640.280192
240.07770.53830.296421
25-0.096299-0.66720.253927
26-0.008702-0.06030.476089
270.0588040.40740.342761
28-0.133129-0.92230.180481
29-0.087207-0.60420.274281
300.1027010.71150.240099
31-0.020611-0.14280.443525
32-0.015779-0.10930.456702
330.0202670.14040.44446
340.0152160.10540.45824
35-0.114204-0.79120.216352
36-0.063789-0.44190.330258
370.0159410.11040.45626
38-0.013579-0.09410.462721
39-0.009435-0.06540.474077
40-0.021758-0.15070.440406
410.0640520.44380.329603
420.0177320.12290.451368
43-0.020305-0.14070.444358
440.0145340.10070.460105
45-0.010757-0.07450.470451
46-0.015707-0.10880.456899
47-0.022878-0.15850.437363
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ; par6 = MA ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ; par6 = MA ; par7 = ; 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 (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 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')