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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationWed, 10 Dec 2008 07:12:52 -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/2008/Dec/10/t1228918400o38pcgtu7e6ymj5.htm/, Retrieved Fri, 01 Nov 2024 00:10:32 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=31967, Retrieved Fri, 01 Nov 2024 00:10:32 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact220
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Central Tendency] [test 3] [2007-10-13 09:57:27] [74be16979710d4c4e7c6647856088456]
- RMPD    [(Partial) Autocorrelation Function] [ACF L=1] [2008-12-10 14:12:52] [e1dd70d3b1099218056e8ae5041dcc2f] [Current]
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Dataseries X:
12.5
14.8
15.9
14.8
12.9
14.3
14.2
15.9
15.3
15.5
15.1
15
12.1
15.8
16.9
15.1
13.7
14.8
14.7
16
15.4
15
15.5
15.1
11.7
16.3
16.7
15
14.9
14.6
15.3
17.9
16.4
15.4
17.9
15.9
13.9
17.8
17.9
17.4
16.7
16
16.6
19.1
17.8
17.2
18.6
16.3
15.1
19.2
17.7
19.1
18
17.5
17.8
21.1
17.2
19.4
19.8
17.6
16.2
19.5
19.9
20
17.3
18.9
18.6
21.4
18.6
19.8
20.8
19.6
17.7
19.8
22.2
20.7
17.9
21.2
21.4
21.7
23.2
21.5
22.9
23.2
18.6




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=31967&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=31967&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31967&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
10.7109086.55420
20.6009595.54060
30.6568086.05550
40.6510266.00220
50.5797245.34480
60.6106645.630
70.4938074.55279e-06
80.543135.00741e-06
90.4805874.43081.4e-05
100.3744183.4520.000435
110.4356364.01646.4e-05
120.6008645.53970
130.3897193.5930.000273
140.3098122.85630.002693
150.3341723.08090.00139
160.3500843.22760.000887
170.3149142.90340.002351
180.3156312.910.002306
190.2367852.18310.015895
200.2789632.57190.005926
210.2084111.92150.029013
220.1185351.09280.138777
230.1906061.75730.041234
240.2750682.5360.006521
250.1350761.24530.108214
260.0766010.70620.24099
270.0581170.53580.296744
280.0801360.73880.231028
290.0527660.48650.313941
300.0197130.18170.428108
31-0.02425-0.22360.411811
320.0026080.0240.490438
33-0.076993-0.70980.239873
34-0.135576-1.24990.107375
35-0.079649-0.73430.232386
36-0.012539-0.11560.454119
37-0.110872-1.02220.154795
38-0.16126-1.48670.070391
39-0.172617-1.59140.057611
40-0.13368-1.23250.110586
41-0.173611-1.60060.056587
42-0.192946-1.77890.039418
43-0.2145-1.97760.025607
44-0.179184-1.6520.051113
45-0.246336-2.27110.012834
46-0.27926-2.57460.005883
47-0.258319-2.38160.009736
48-0.194781-1.79580.038041
49-0.263563-2.42990.008603
50-0.312588-2.88190.002502
51-0.322854-2.97660.001898
52-0.267302-2.46440.007869
53-0.311737-2.87410.002559
54-0.318549-2.93690.002133
55-0.328964-3.03290.001606
56-0.285289-2.63020.005064
57-0.316014-2.91350.002283
58-0.335592-3.0940.001336
59-0.314252-2.89730.002393
60-0.243557-2.24550.013666

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.710908 & 6.5542 & 0 \tabularnewline
2 & 0.600959 & 5.5406 & 0 \tabularnewline
3 & 0.656808 & 6.0555 & 0 \tabularnewline
4 & 0.651026 & 6.0022 & 0 \tabularnewline
5 & 0.579724 & 5.3448 & 0 \tabularnewline
6 & 0.610664 & 5.63 & 0 \tabularnewline
7 & 0.493807 & 4.5527 & 9e-06 \tabularnewline
8 & 0.54313 & 5.0074 & 1e-06 \tabularnewline
9 & 0.480587 & 4.4308 & 1.4e-05 \tabularnewline
10 & 0.374418 & 3.452 & 0.000435 \tabularnewline
11 & 0.435636 & 4.0164 & 6.4e-05 \tabularnewline
12 & 0.600864 & 5.5397 & 0 \tabularnewline
13 & 0.389719 & 3.593 & 0.000273 \tabularnewline
14 & 0.309812 & 2.8563 & 0.002693 \tabularnewline
15 & 0.334172 & 3.0809 & 0.00139 \tabularnewline
16 & 0.350084 & 3.2276 & 0.000887 \tabularnewline
17 & 0.314914 & 2.9034 & 0.002351 \tabularnewline
18 & 0.315631 & 2.91 & 0.002306 \tabularnewline
19 & 0.236785 & 2.1831 & 0.015895 \tabularnewline
20 & 0.278963 & 2.5719 & 0.005926 \tabularnewline
21 & 0.208411 & 1.9215 & 0.029013 \tabularnewline
22 & 0.118535 & 1.0928 & 0.138777 \tabularnewline
23 & 0.190606 & 1.7573 & 0.041234 \tabularnewline
24 & 0.275068 & 2.536 & 0.006521 \tabularnewline
25 & 0.135076 & 1.2453 & 0.108214 \tabularnewline
26 & 0.076601 & 0.7062 & 0.24099 \tabularnewline
27 & 0.058117 & 0.5358 & 0.296744 \tabularnewline
28 & 0.080136 & 0.7388 & 0.231028 \tabularnewline
29 & 0.052766 & 0.4865 & 0.313941 \tabularnewline
30 & 0.019713 & 0.1817 & 0.428108 \tabularnewline
31 & -0.02425 & -0.2236 & 0.411811 \tabularnewline
32 & 0.002608 & 0.024 & 0.490438 \tabularnewline
33 & -0.076993 & -0.7098 & 0.239873 \tabularnewline
34 & -0.135576 & -1.2499 & 0.107375 \tabularnewline
35 & -0.079649 & -0.7343 & 0.232386 \tabularnewline
36 & -0.012539 & -0.1156 & 0.454119 \tabularnewline
37 & -0.110872 & -1.0222 & 0.154795 \tabularnewline
38 & -0.16126 & -1.4867 & 0.070391 \tabularnewline
39 & -0.172617 & -1.5914 & 0.057611 \tabularnewline
40 & -0.13368 & -1.2325 & 0.110586 \tabularnewline
41 & -0.173611 & -1.6006 & 0.056587 \tabularnewline
42 & -0.192946 & -1.7789 & 0.039418 \tabularnewline
43 & -0.2145 & -1.9776 & 0.025607 \tabularnewline
44 & -0.179184 & -1.652 & 0.051113 \tabularnewline
45 & -0.246336 & -2.2711 & 0.012834 \tabularnewline
46 & -0.27926 & -2.5746 & 0.005883 \tabularnewline
47 & -0.258319 & -2.3816 & 0.009736 \tabularnewline
48 & -0.194781 & -1.7958 & 0.038041 \tabularnewline
49 & -0.263563 & -2.4299 & 0.008603 \tabularnewline
50 & -0.312588 & -2.8819 & 0.002502 \tabularnewline
51 & -0.322854 & -2.9766 & 0.001898 \tabularnewline
52 & -0.267302 & -2.4644 & 0.007869 \tabularnewline
53 & -0.311737 & -2.8741 & 0.002559 \tabularnewline
54 & -0.318549 & -2.9369 & 0.002133 \tabularnewline
55 & -0.328964 & -3.0329 & 0.001606 \tabularnewline
56 & -0.285289 & -2.6302 & 0.005064 \tabularnewline
57 & -0.316014 & -2.9135 & 0.002283 \tabularnewline
58 & -0.335592 & -3.094 & 0.001336 \tabularnewline
59 & -0.314252 & -2.8973 & 0.002393 \tabularnewline
60 & -0.243557 & -2.2455 & 0.013666 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=31967&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]0.710908[/C][C]6.5542[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.600959[/C][C]5.5406[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.656808[/C][C]6.0555[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.651026[/C][C]6.0022[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.579724[/C][C]5.3448[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.610664[/C][C]5.63[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.493807[/C][C]4.5527[/C][C]9e-06[/C][/ROW]
[ROW][C]8[/C][C]0.54313[/C][C]5.0074[/C][C]1e-06[/C][/ROW]
[ROW][C]9[/C][C]0.480587[/C][C]4.4308[/C][C]1.4e-05[/C][/ROW]
[ROW][C]10[/C][C]0.374418[/C][C]3.452[/C][C]0.000435[/C][/ROW]
[ROW][C]11[/C][C]0.435636[/C][C]4.0164[/C][C]6.4e-05[/C][/ROW]
[ROW][C]12[/C][C]0.600864[/C][C]5.5397[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.389719[/C][C]3.593[/C][C]0.000273[/C][/ROW]
[ROW][C]14[/C][C]0.309812[/C][C]2.8563[/C][C]0.002693[/C][/ROW]
[ROW][C]15[/C][C]0.334172[/C][C]3.0809[/C][C]0.00139[/C][/ROW]
[ROW][C]16[/C][C]0.350084[/C][C]3.2276[/C][C]0.000887[/C][/ROW]
[ROW][C]17[/C][C]0.314914[/C][C]2.9034[/C][C]0.002351[/C][/ROW]
[ROW][C]18[/C][C]0.315631[/C][C]2.91[/C][C]0.002306[/C][/ROW]
[ROW][C]19[/C][C]0.236785[/C][C]2.1831[/C][C]0.015895[/C][/ROW]
[ROW][C]20[/C][C]0.278963[/C][C]2.5719[/C][C]0.005926[/C][/ROW]
[ROW][C]21[/C][C]0.208411[/C][C]1.9215[/C][C]0.029013[/C][/ROW]
[ROW][C]22[/C][C]0.118535[/C][C]1.0928[/C][C]0.138777[/C][/ROW]
[ROW][C]23[/C][C]0.190606[/C][C]1.7573[/C][C]0.041234[/C][/ROW]
[ROW][C]24[/C][C]0.275068[/C][C]2.536[/C][C]0.006521[/C][/ROW]
[ROW][C]25[/C][C]0.135076[/C][C]1.2453[/C][C]0.108214[/C][/ROW]
[ROW][C]26[/C][C]0.076601[/C][C]0.7062[/C][C]0.24099[/C][/ROW]
[ROW][C]27[/C][C]0.058117[/C][C]0.5358[/C][C]0.296744[/C][/ROW]
[ROW][C]28[/C][C]0.080136[/C][C]0.7388[/C][C]0.231028[/C][/ROW]
[ROW][C]29[/C][C]0.052766[/C][C]0.4865[/C][C]0.313941[/C][/ROW]
[ROW][C]30[/C][C]0.019713[/C][C]0.1817[/C][C]0.428108[/C][/ROW]
[ROW][C]31[/C][C]-0.02425[/C][C]-0.2236[/C][C]0.411811[/C][/ROW]
[ROW][C]32[/C][C]0.002608[/C][C]0.024[/C][C]0.490438[/C][/ROW]
[ROW][C]33[/C][C]-0.076993[/C][C]-0.7098[/C][C]0.239873[/C][/ROW]
[ROW][C]34[/C][C]-0.135576[/C][C]-1.2499[/C][C]0.107375[/C][/ROW]
[ROW][C]35[/C][C]-0.079649[/C][C]-0.7343[/C][C]0.232386[/C][/ROW]
[ROW][C]36[/C][C]-0.012539[/C][C]-0.1156[/C][C]0.454119[/C][/ROW]
[ROW][C]37[/C][C]-0.110872[/C][C]-1.0222[/C][C]0.154795[/C][/ROW]
[ROW][C]38[/C][C]-0.16126[/C][C]-1.4867[/C][C]0.070391[/C][/ROW]
[ROW][C]39[/C][C]-0.172617[/C][C]-1.5914[/C][C]0.057611[/C][/ROW]
[ROW][C]40[/C][C]-0.13368[/C][C]-1.2325[/C][C]0.110586[/C][/ROW]
[ROW][C]41[/C][C]-0.173611[/C][C]-1.6006[/C][C]0.056587[/C][/ROW]
[ROW][C]42[/C][C]-0.192946[/C][C]-1.7789[/C][C]0.039418[/C][/ROW]
[ROW][C]43[/C][C]-0.2145[/C][C]-1.9776[/C][C]0.025607[/C][/ROW]
[ROW][C]44[/C][C]-0.179184[/C][C]-1.652[/C][C]0.051113[/C][/ROW]
[ROW][C]45[/C][C]-0.246336[/C][C]-2.2711[/C][C]0.012834[/C][/ROW]
[ROW][C]46[/C][C]-0.27926[/C][C]-2.5746[/C][C]0.005883[/C][/ROW]
[ROW][C]47[/C][C]-0.258319[/C][C]-2.3816[/C][C]0.009736[/C][/ROW]
[ROW][C]48[/C][C]-0.194781[/C][C]-1.7958[/C][C]0.038041[/C][/ROW]
[ROW][C]49[/C][C]-0.263563[/C][C]-2.4299[/C][C]0.008603[/C][/ROW]
[ROW][C]50[/C][C]-0.312588[/C][C]-2.8819[/C][C]0.002502[/C][/ROW]
[ROW][C]51[/C][C]-0.322854[/C][C]-2.9766[/C][C]0.001898[/C][/ROW]
[ROW][C]52[/C][C]-0.267302[/C][C]-2.4644[/C][C]0.007869[/C][/ROW]
[ROW][C]53[/C][C]-0.311737[/C][C]-2.8741[/C][C]0.002559[/C][/ROW]
[ROW][C]54[/C][C]-0.318549[/C][C]-2.9369[/C][C]0.002133[/C][/ROW]
[ROW][C]55[/C][C]-0.328964[/C][C]-3.0329[/C][C]0.001606[/C][/ROW]
[ROW][C]56[/C][C]-0.285289[/C][C]-2.6302[/C][C]0.005064[/C][/ROW]
[ROW][C]57[/C][C]-0.316014[/C][C]-2.9135[/C][C]0.002283[/C][/ROW]
[ROW][C]58[/C][C]-0.335592[/C][C]-3.094[/C][C]0.001336[/C][/ROW]
[ROW][C]59[/C][C]-0.314252[/C][C]-2.8973[/C][C]0.002393[/C][/ROW]
[ROW][C]60[/C][C]-0.243557[/C][C]-2.2455[/C][C]0.013666[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=31967&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31967&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
10.7109086.55420
20.6009595.54060
30.6568086.05550
40.6510266.00220
50.5797245.34480
60.6106645.630
70.4938074.55279e-06
80.543135.00741e-06
90.4805874.43081.4e-05
100.3744183.4520.000435
110.4356364.01646.4e-05
120.6008645.53970
130.3897193.5930.000273
140.3098122.85630.002693
150.3341723.08090.00139
160.3500843.22760.000887
170.3149142.90340.002351
180.3156312.910.002306
190.2367852.18310.015895
200.2789632.57190.005926
210.2084111.92150.029013
220.1185351.09280.138777
230.1906061.75730.041234
240.2750682.5360.006521
250.1350761.24530.108214
260.0766010.70620.24099
270.0581170.53580.296744
280.0801360.73880.231028
290.0527660.48650.313941
300.0197130.18170.428108
31-0.02425-0.22360.411811
320.0026080.0240.490438
33-0.076993-0.70980.239873
34-0.135576-1.24990.107375
35-0.079649-0.73430.232386
36-0.012539-0.11560.454119
37-0.110872-1.02220.154795
38-0.16126-1.48670.070391
39-0.172617-1.59140.057611
40-0.13368-1.23250.110586
41-0.173611-1.60060.056587
42-0.192946-1.77890.039418
43-0.2145-1.97760.025607
44-0.179184-1.6520.051113
45-0.246336-2.27110.012834
46-0.27926-2.57460.005883
47-0.258319-2.38160.009736
48-0.194781-1.79580.038041
49-0.263563-2.42990.008603
50-0.312588-2.88190.002502
51-0.322854-2.97660.001898
52-0.267302-2.46440.007869
53-0.311737-2.87410.002559
54-0.318549-2.93690.002133
55-0.328964-3.03290.001606
56-0.285289-2.63020.005064
57-0.316014-2.91350.002283
58-0.335592-3.0940.001336
59-0.314252-2.89730.002393
60-0.243557-2.24550.013666







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.7109086.55420
20.1932191.78140.03921
30.367053.3840.000541
40.1707681.57440.059554
50.0308270.28420.388471
60.1808491.66730.049563
7-0.24436-2.25290.013421
80.2510612.31470.011521
9-0.254909-2.35010.010541
10-0.100919-0.93040.177393
110.2272142.09480.019582
120.3477723.20630.000948
13-0.314045-2.89540.002406
14-0.149064-1.37430.08648
15-0.055323-0.510.305669
160.0491560.45320.325781
170.0134760.12420.450707
18-0.011859-0.10930.456599
190.0726080.66940.252523
20-0.095144-0.87720.191429
21-0.050591-0.46640.321051
22-0.042976-0.39620.346468
230.1150831.0610.145845
24-0.105576-0.97340.166567
250.0330820.3050.380557
26-0.035057-0.32320.373666
27-0.113037-1.04220.150149
280.0019820.01830.492732
29-0.119519-1.10190.136805
300.0515750.47550.317826
31-0.057337-0.52860.299223
320.0093780.08650.465652
33-0.029252-0.26970.394027
34-0.009738-0.08980.464337
35-0.013408-0.12360.450957
360.0727330.67060.252159
37-0.068882-0.63510.263548
38-0.021726-0.20030.420862
390.0077590.07150.471569
40-0.0109-0.10050.460094
41-0.107696-0.99290.161788
420.0121750.11220.455445
43-0.018519-0.17070.432417
440.0368150.33940.367568
45-0.002418-0.02230.491133
46-0.001696-0.01560.493781
47-0.071496-0.65920.255787
48-0.05236-0.48270.315263
49-0.001512-0.01390.494457
50-0.024717-0.22790.410144
51-0.02781-0.25640.399134
520.0153840.14180.443773
530.0029860.02750.489051
54-0.032646-0.3010.382083
55-0.019183-0.17690.430019
560.0324510.29920.382766
570.0665990.6140.270424
58-0.042125-0.38840.349354
590.0633460.5840.280375
60-0.043741-0.40330.343882

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.710908 & 6.5542 & 0 \tabularnewline
2 & 0.193219 & 1.7814 & 0.03921 \tabularnewline
3 & 0.36705 & 3.384 & 0.000541 \tabularnewline
4 & 0.170768 & 1.5744 & 0.059554 \tabularnewline
5 & 0.030827 & 0.2842 & 0.388471 \tabularnewline
6 & 0.180849 & 1.6673 & 0.049563 \tabularnewline
7 & -0.24436 & -2.2529 & 0.013421 \tabularnewline
8 & 0.251061 & 2.3147 & 0.011521 \tabularnewline
9 & -0.254909 & -2.3501 & 0.010541 \tabularnewline
10 & -0.100919 & -0.9304 & 0.177393 \tabularnewline
11 & 0.227214 & 2.0948 & 0.019582 \tabularnewline
12 & 0.347772 & 3.2063 & 0.000948 \tabularnewline
13 & -0.314045 & -2.8954 & 0.002406 \tabularnewline
14 & -0.149064 & -1.3743 & 0.08648 \tabularnewline
15 & -0.055323 & -0.51 & 0.305669 \tabularnewline
16 & 0.049156 & 0.4532 & 0.325781 \tabularnewline
17 & 0.013476 & 0.1242 & 0.450707 \tabularnewline
18 & -0.011859 & -0.1093 & 0.456599 \tabularnewline
19 & 0.072608 & 0.6694 & 0.252523 \tabularnewline
20 & -0.095144 & -0.8772 & 0.191429 \tabularnewline
21 & -0.050591 & -0.4664 & 0.321051 \tabularnewline
22 & -0.042976 & -0.3962 & 0.346468 \tabularnewline
23 & 0.115083 & 1.061 & 0.145845 \tabularnewline
24 & -0.105576 & -0.9734 & 0.166567 \tabularnewline
25 & 0.033082 & 0.305 & 0.380557 \tabularnewline
26 & -0.035057 & -0.3232 & 0.373666 \tabularnewline
27 & -0.113037 & -1.0422 & 0.150149 \tabularnewline
28 & 0.001982 & 0.0183 & 0.492732 \tabularnewline
29 & -0.119519 & -1.1019 & 0.136805 \tabularnewline
30 & 0.051575 & 0.4755 & 0.317826 \tabularnewline
31 & -0.057337 & -0.5286 & 0.299223 \tabularnewline
32 & 0.009378 & 0.0865 & 0.465652 \tabularnewline
33 & -0.029252 & -0.2697 & 0.394027 \tabularnewline
34 & -0.009738 & -0.0898 & 0.464337 \tabularnewline
35 & -0.013408 & -0.1236 & 0.450957 \tabularnewline
36 & 0.072733 & 0.6706 & 0.252159 \tabularnewline
37 & -0.068882 & -0.6351 & 0.263548 \tabularnewline
38 & -0.021726 & -0.2003 & 0.420862 \tabularnewline
39 & 0.007759 & 0.0715 & 0.471569 \tabularnewline
40 & -0.0109 & -0.1005 & 0.460094 \tabularnewline
41 & -0.107696 & -0.9929 & 0.161788 \tabularnewline
42 & 0.012175 & 0.1122 & 0.455445 \tabularnewline
43 & -0.018519 & -0.1707 & 0.432417 \tabularnewline
44 & 0.036815 & 0.3394 & 0.367568 \tabularnewline
45 & -0.002418 & -0.0223 & 0.491133 \tabularnewline
46 & -0.001696 & -0.0156 & 0.493781 \tabularnewline
47 & -0.071496 & -0.6592 & 0.255787 \tabularnewline
48 & -0.05236 & -0.4827 & 0.315263 \tabularnewline
49 & -0.001512 & -0.0139 & 0.494457 \tabularnewline
50 & -0.024717 & -0.2279 & 0.410144 \tabularnewline
51 & -0.02781 & -0.2564 & 0.399134 \tabularnewline
52 & 0.015384 & 0.1418 & 0.443773 \tabularnewline
53 & 0.002986 & 0.0275 & 0.489051 \tabularnewline
54 & -0.032646 & -0.301 & 0.382083 \tabularnewline
55 & -0.019183 & -0.1769 & 0.430019 \tabularnewline
56 & 0.032451 & 0.2992 & 0.382766 \tabularnewline
57 & 0.066599 & 0.614 & 0.270424 \tabularnewline
58 & -0.042125 & -0.3884 & 0.349354 \tabularnewline
59 & 0.063346 & 0.584 & 0.280375 \tabularnewline
60 & -0.043741 & -0.4033 & 0.343882 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=31967&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]0.710908[/C][C]6.5542[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.193219[/C][C]1.7814[/C][C]0.03921[/C][/ROW]
[ROW][C]3[/C][C]0.36705[/C][C]3.384[/C][C]0.000541[/C][/ROW]
[ROW][C]4[/C][C]0.170768[/C][C]1.5744[/C][C]0.059554[/C][/ROW]
[ROW][C]5[/C][C]0.030827[/C][C]0.2842[/C][C]0.388471[/C][/ROW]
[ROW][C]6[/C][C]0.180849[/C][C]1.6673[/C][C]0.049563[/C][/ROW]
[ROW][C]7[/C][C]-0.24436[/C][C]-2.2529[/C][C]0.013421[/C][/ROW]
[ROW][C]8[/C][C]0.251061[/C][C]2.3147[/C][C]0.011521[/C][/ROW]
[ROW][C]9[/C][C]-0.254909[/C][C]-2.3501[/C][C]0.010541[/C][/ROW]
[ROW][C]10[/C][C]-0.100919[/C][C]-0.9304[/C][C]0.177393[/C][/ROW]
[ROW][C]11[/C][C]0.227214[/C][C]2.0948[/C][C]0.019582[/C][/ROW]
[ROW][C]12[/C][C]0.347772[/C][C]3.2063[/C][C]0.000948[/C][/ROW]
[ROW][C]13[/C][C]-0.314045[/C][C]-2.8954[/C][C]0.002406[/C][/ROW]
[ROW][C]14[/C][C]-0.149064[/C][C]-1.3743[/C][C]0.08648[/C][/ROW]
[ROW][C]15[/C][C]-0.055323[/C][C]-0.51[/C][C]0.305669[/C][/ROW]
[ROW][C]16[/C][C]0.049156[/C][C]0.4532[/C][C]0.325781[/C][/ROW]
[ROW][C]17[/C][C]0.013476[/C][C]0.1242[/C][C]0.450707[/C][/ROW]
[ROW][C]18[/C][C]-0.011859[/C][C]-0.1093[/C][C]0.456599[/C][/ROW]
[ROW][C]19[/C][C]0.072608[/C][C]0.6694[/C][C]0.252523[/C][/ROW]
[ROW][C]20[/C][C]-0.095144[/C][C]-0.8772[/C][C]0.191429[/C][/ROW]
[ROW][C]21[/C][C]-0.050591[/C][C]-0.4664[/C][C]0.321051[/C][/ROW]
[ROW][C]22[/C][C]-0.042976[/C][C]-0.3962[/C][C]0.346468[/C][/ROW]
[ROW][C]23[/C][C]0.115083[/C][C]1.061[/C][C]0.145845[/C][/ROW]
[ROW][C]24[/C][C]-0.105576[/C][C]-0.9734[/C][C]0.166567[/C][/ROW]
[ROW][C]25[/C][C]0.033082[/C][C]0.305[/C][C]0.380557[/C][/ROW]
[ROW][C]26[/C][C]-0.035057[/C][C]-0.3232[/C][C]0.373666[/C][/ROW]
[ROW][C]27[/C][C]-0.113037[/C][C]-1.0422[/C][C]0.150149[/C][/ROW]
[ROW][C]28[/C][C]0.001982[/C][C]0.0183[/C][C]0.492732[/C][/ROW]
[ROW][C]29[/C][C]-0.119519[/C][C]-1.1019[/C][C]0.136805[/C][/ROW]
[ROW][C]30[/C][C]0.051575[/C][C]0.4755[/C][C]0.317826[/C][/ROW]
[ROW][C]31[/C][C]-0.057337[/C][C]-0.5286[/C][C]0.299223[/C][/ROW]
[ROW][C]32[/C][C]0.009378[/C][C]0.0865[/C][C]0.465652[/C][/ROW]
[ROW][C]33[/C][C]-0.029252[/C][C]-0.2697[/C][C]0.394027[/C][/ROW]
[ROW][C]34[/C][C]-0.009738[/C][C]-0.0898[/C][C]0.464337[/C][/ROW]
[ROW][C]35[/C][C]-0.013408[/C][C]-0.1236[/C][C]0.450957[/C][/ROW]
[ROW][C]36[/C][C]0.072733[/C][C]0.6706[/C][C]0.252159[/C][/ROW]
[ROW][C]37[/C][C]-0.068882[/C][C]-0.6351[/C][C]0.263548[/C][/ROW]
[ROW][C]38[/C][C]-0.021726[/C][C]-0.2003[/C][C]0.420862[/C][/ROW]
[ROW][C]39[/C][C]0.007759[/C][C]0.0715[/C][C]0.471569[/C][/ROW]
[ROW][C]40[/C][C]-0.0109[/C][C]-0.1005[/C][C]0.460094[/C][/ROW]
[ROW][C]41[/C][C]-0.107696[/C][C]-0.9929[/C][C]0.161788[/C][/ROW]
[ROW][C]42[/C][C]0.012175[/C][C]0.1122[/C][C]0.455445[/C][/ROW]
[ROW][C]43[/C][C]-0.018519[/C][C]-0.1707[/C][C]0.432417[/C][/ROW]
[ROW][C]44[/C][C]0.036815[/C][C]0.3394[/C][C]0.367568[/C][/ROW]
[ROW][C]45[/C][C]-0.002418[/C][C]-0.0223[/C][C]0.491133[/C][/ROW]
[ROW][C]46[/C][C]-0.001696[/C][C]-0.0156[/C][C]0.493781[/C][/ROW]
[ROW][C]47[/C][C]-0.071496[/C][C]-0.6592[/C][C]0.255787[/C][/ROW]
[ROW][C]48[/C][C]-0.05236[/C][C]-0.4827[/C][C]0.315263[/C][/ROW]
[ROW][C]49[/C][C]-0.001512[/C][C]-0.0139[/C][C]0.494457[/C][/ROW]
[ROW][C]50[/C][C]-0.024717[/C][C]-0.2279[/C][C]0.410144[/C][/ROW]
[ROW][C]51[/C][C]-0.02781[/C][C]-0.2564[/C][C]0.399134[/C][/ROW]
[ROW][C]52[/C][C]0.015384[/C][C]0.1418[/C][C]0.443773[/C][/ROW]
[ROW][C]53[/C][C]0.002986[/C][C]0.0275[/C][C]0.489051[/C][/ROW]
[ROW][C]54[/C][C]-0.032646[/C][C]-0.301[/C][C]0.382083[/C][/ROW]
[ROW][C]55[/C][C]-0.019183[/C][C]-0.1769[/C][C]0.430019[/C][/ROW]
[ROW][C]56[/C][C]0.032451[/C][C]0.2992[/C][C]0.382766[/C][/ROW]
[ROW][C]57[/C][C]0.066599[/C][C]0.614[/C][C]0.270424[/C][/ROW]
[ROW][C]58[/C][C]-0.042125[/C][C]-0.3884[/C][C]0.349354[/C][/ROW]
[ROW][C]59[/C][C]0.063346[/C][C]0.584[/C][C]0.280375[/C][/ROW]
[ROW][C]60[/C][C]-0.043741[/C][C]-0.4033[/C][C]0.343882[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=31967&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31967&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
10.7109086.55420
20.1932191.78140.03921
30.367053.3840.000541
40.1707681.57440.059554
50.0308270.28420.388471
60.1808491.66730.049563
7-0.24436-2.25290.013421
80.2510612.31470.011521
9-0.254909-2.35010.010541
10-0.100919-0.93040.177393
110.2272142.09480.019582
120.3477723.20630.000948
13-0.314045-2.89540.002406
14-0.149064-1.37430.08648
15-0.055323-0.510.305669
160.0491560.45320.325781
170.0134760.12420.450707
18-0.011859-0.10930.456599
190.0726080.66940.252523
20-0.095144-0.87720.191429
21-0.050591-0.46640.321051
22-0.042976-0.39620.346468
230.1150831.0610.145845
24-0.105576-0.97340.166567
250.0330820.3050.380557
26-0.035057-0.32320.373666
27-0.113037-1.04220.150149
280.0019820.01830.492732
29-0.119519-1.10190.136805
300.0515750.47550.317826
31-0.057337-0.52860.299223
320.0093780.08650.465652
33-0.029252-0.26970.394027
34-0.009738-0.08980.464337
35-0.013408-0.12360.450957
360.0727330.67060.252159
37-0.068882-0.63510.263548
38-0.021726-0.20030.420862
390.0077590.07150.471569
40-0.0109-0.10050.460094
41-0.107696-0.99290.161788
420.0121750.11220.455445
43-0.018519-0.17070.432417
440.0368150.33940.367568
45-0.002418-0.02230.491133
46-0.001696-0.01560.493781
47-0.071496-0.65920.255787
48-0.05236-0.48270.315263
49-0.001512-0.01390.494457
50-0.024717-0.22790.410144
51-0.02781-0.25640.399134
520.0153840.14180.443773
530.0029860.02750.489051
54-0.032646-0.3010.382083
55-0.019183-0.17690.430019
560.0324510.29920.382766
570.0665990.6140.270424
58-0.042125-0.38840.349354
590.0633460.5840.280375
60-0.043741-0.40330.343882



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; 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 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')