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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationMon, 10 Dec 2007 13:52:25 -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/10/t1197319135c8zxfvzt5yz8omx.htm/, Retrieved Mon, 06 May 2024 20:38:50 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=3050, Retrieved Mon, 06 May 2024 20:38:50 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordss0650550 s0650062
Estimated Impact192
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Inducing Stationa...] [2007-12-10 20:52:25] [ab924f39c1cc7a5dd22761038b10db61] [Current]
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Dataseries X:
2.25
1.85
1.75
1.75
1.55
1.5
1.5
1.1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1.21
1.25
1.25
1.45
1.5
1.5
1.64
1.75
1.93
2
2.17
2.25
2.39
2.5
2.5
2.65
2.75
2.75
2.9
3
3
3
3




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=3050&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=3050&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3050&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
016.78230
1-0.379777-2.57580.99336
2-0.264145-1.79150.960105
30.4426383.00210.002162
4-0.230665-1.56440.937717
5-0.121337-0.82290.792608
60.1045110.70880.241003
70.044130.29930.383028
80.1108830.7520.227928
9-0.160072-1.08570.858358
100.1202760.81580.209423
110.0258760.17550.430729
12-0.14689-0.99630.837832
130.1240940.84160.20217
14-0.075305-0.51070.694013
150.0075140.0510.479788
160.0129060.08750.465314
17-0.145204-0.98480.835067
180.2561881.73760.044491
19-0.119233-0.80870.788568
20-0.189188-1.28310.897064
210.3259832.21090.016026
22-0.19236-1.30460.900749
23-0.191336-1.29770.89957
240.2363121.60270.057918
25-0.087849-0.59580.722892
26-0.037835-0.25660.600687
270.0101510.06880.472705
280.0923170.62610.267163
29-0.031588-0.21420.584346
30-0.18144-1.23060.887633
310.1470850.99760.161852
32-0.013272-0.090.535667
33-0.164366-1.11480.864633
340.1784561.21030.116164
35-0.010824-0.07340.529103
36-0.048388-0.32820.627868
370.1079650.73230.233864
38-0.140833-0.95520.82776
390.080330.54480.294254
40-0.016246-0.11020.543629
41-0.072657-0.49280.687745
420.0743790.50450.308171
430.0220190.14930.440969
44-0.037881-0.25690.600807
450.0346760.23520.407554
46NANANA
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 6.7823 & 0 \tabularnewline
1 & -0.379777 & -2.5758 & 0.99336 \tabularnewline
2 & -0.264145 & -1.7915 & 0.960105 \tabularnewline
3 & 0.442638 & 3.0021 & 0.002162 \tabularnewline
4 & -0.230665 & -1.5644 & 0.937717 \tabularnewline
5 & -0.121337 & -0.8229 & 0.792608 \tabularnewline
6 & 0.104511 & 0.7088 & 0.241003 \tabularnewline
7 & 0.04413 & 0.2993 & 0.383028 \tabularnewline
8 & 0.110883 & 0.752 & 0.227928 \tabularnewline
9 & -0.160072 & -1.0857 & 0.858358 \tabularnewline
10 & 0.120276 & 0.8158 & 0.209423 \tabularnewline
11 & 0.025876 & 0.1755 & 0.430729 \tabularnewline
12 & -0.14689 & -0.9963 & 0.837832 \tabularnewline
13 & 0.124094 & 0.8416 & 0.20217 \tabularnewline
14 & -0.075305 & -0.5107 & 0.694013 \tabularnewline
15 & 0.007514 & 0.051 & 0.479788 \tabularnewline
16 & 0.012906 & 0.0875 & 0.465314 \tabularnewline
17 & -0.145204 & -0.9848 & 0.835067 \tabularnewline
18 & 0.256188 & 1.7376 & 0.044491 \tabularnewline
19 & -0.119233 & -0.8087 & 0.788568 \tabularnewline
20 & -0.189188 & -1.2831 & 0.897064 \tabularnewline
21 & 0.325983 & 2.2109 & 0.016026 \tabularnewline
22 & -0.19236 & -1.3046 & 0.900749 \tabularnewline
23 & -0.191336 & -1.2977 & 0.89957 \tabularnewline
24 & 0.236312 & 1.6027 & 0.057918 \tabularnewline
25 & -0.087849 & -0.5958 & 0.722892 \tabularnewline
26 & -0.037835 & -0.2566 & 0.600687 \tabularnewline
27 & 0.010151 & 0.0688 & 0.472705 \tabularnewline
28 & 0.092317 & 0.6261 & 0.267163 \tabularnewline
29 & -0.031588 & -0.2142 & 0.584346 \tabularnewline
30 & -0.18144 & -1.2306 & 0.887633 \tabularnewline
31 & 0.147085 & 0.9976 & 0.161852 \tabularnewline
32 & -0.013272 & -0.09 & 0.535667 \tabularnewline
33 & -0.164366 & -1.1148 & 0.864633 \tabularnewline
34 & 0.178456 & 1.2103 & 0.116164 \tabularnewline
35 & -0.010824 & -0.0734 & 0.529103 \tabularnewline
36 & -0.048388 & -0.3282 & 0.627868 \tabularnewline
37 & 0.107965 & 0.7323 & 0.233864 \tabularnewline
38 & -0.140833 & -0.9552 & 0.82776 \tabularnewline
39 & 0.08033 & 0.5448 & 0.294254 \tabularnewline
40 & -0.016246 & -0.1102 & 0.543629 \tabularnewline
41 & -0.072657 & -0.4928 & 0.687745 \tabularnewline
42 & 0.074379 & 0.5045 & 0.308171 \tabularnewline
43 & 0.022019 & 0.1493 & 0.440969 \tabularnewline
44 & -0.037881 & -0.2569 & 0.600807 \tabularnewline
45 & 0.034676 & 0.2352 & 0.407554 \tabularnewline
46 & NA & NA & NA \tabularnewline
47 & NA & NA & NA \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
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3050&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]6.7823[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]-0.379777[/C][C]-2.5758[/C][C]0.99336[/C][/ROW]
[ROW][C]2[/C][C]-0.264145[/C][C]-1.7915[/C][C]0.960105[/C][/ROW]
[ROW][C]3[/C][C]0.442638[/C][C]3.0021[/C][C]0.002162[/C][/ROW]
[ROW][C]4[/C][C]-0.230665[/C][C]-1.5644[/C][C]0.937717[/C][/ROW]
[ROW][C]5[/C][C]-0.121337[/C][C]-0.8229[/C][C]0.792608[/C][/ROW]
[ROW][C]6[/C][C]0.104511[/C][C]0.7088[/C][C]0.241003[/C][/ROW]
[ROW][C]7[/C][C]0.04413[/C][C]0.2993[/C][C]0.383028[/C][/ROW]
[ROW][C]8[/C][C]0.110883[/C][C]0.752[/C][C]0.227928[/C][/ROW]
[ROW][C]9[/C][C]-0.160072[/C][C]-1.0857[/C][C]0.858358[/C][/ROW]
[ROW][C]10[/C][C]0.120276[/C][C]0.8158[/C][C]0.209423[/C][/ROW]
[ROW][C]11[/C][C]0.025876[/C][C]0.1755[/C][C]0.430729[/C][/ROW]
[ROW][C]12[/C][C]-0.14689[/C][C]-0.9963[/C][C]0.837832[/C][/ROW]
[ROW][C]13[/C][C]0.124094[/C][C]0.8416[/C][C]0.20217[/C][/ROW]
[ROW][C]14[/C][C]-0.075305[/C][C]-0.5107[/C][C]0.694013[/C][/ROW]
[ROW][C]15[/C][C]0.007514[/C][C]0.051[/C][C]0.479788[/C][/ROW]
[ROW][C]16[/C][C]0.012906[/C][C]0.0875[/C][C]0.465314[/C][/ROW]
[ROW][C]17[/C][C]-0.145204[/C][C]-0.9848[/C][C]0.835067[/C][/ROW]
[ROW][C]18[/C][C]0.256188[/C][C]1.7376[/C][C]0.044491[/C][/ROW]
[ROW][C]19[/C][C]-0.119233[/C][C]-0.8087[/C][C]0.788568[/C][/ROW]
[ROW][C]20[/C][C]-0.189188[/C][C]-1.2831[/C][C]0.897064[/C][/ROW]
[ROW][C]21[/C][C]0.325983[/C][C]2.2109[/C][C]0.016026[/C][/ROW]
[ROW][C]22[/C][C]-0.19236[/C][C]-1.3046[/C][C]0.900749[/C][/ROW]
[ROW][C]23[/C][C]-0.191336[/C][C]-1.2977[/C][C]0.89957[/C][/ROW]
[ROW][C]24[/C][C]0.236312[/C][C]1.6027[/C][C]0.057918[/C][/ROW]
[ROW][C]25[/C][C]-0.087849[/C][C]-0.5958[/C][C]0.722892[/C][/ROW]
[ROW][C]26[/C][C]-0.037835[/C][C]-0.2566[/C][C]0.600687[/C][/ROW]
[ROW][C]27[/C][C]0.010151[/C][C]0.0688[/C][C]0.472705[/C][/ROW]
[ROW][C]28[/C][C]0.092317[/C][C]0.6261[/C][C]0.267163[/C][/ROW]
[ROW][C]29[/C][C]-0.031588[/C][C]-0.2142[/C][C]0.584346[/C][/ROW]
[ROW][C]30[/C][C]-0.18144[/C][C]-1.2306[/C][C]0.887633[/C][/ROW]
[ROW][C]31[/C][C]0.147085[/C][C]0.9976[/C][C]0.161852[/C][/ROW]
[ROW][C]32[/C][C]-0.013272[/C][C]-0.09[/C][C]0.535667[/C][/ROW]
[ROW][C]33[/C][C]-0.164366[/C][C]-1.1148[/C][C]0.864633[/C][/ROW]
[ROW][C]34[/C][C]0.178456[/C][C]1.2103[/C][C]0.116164[/C][/ROW]
[ROW][C]35[/C][C]-0.010824[/C][C]-0.0734[/C][C]0.529103[/C][/ROW]
[ROW][C]36[/C][C]-0.048388[/C][C]-0.3282[/C][C]0.627868[/C][/ROW]
[ROW][C]37[/C][C]0.107965[/C][C]0.7323[/C][C]0.233864[/C][/ROW]
[ROW][C]38[/C][C]-0.140833[/C][C]-0.9552[/C][C]0.82776[/C][/ROW]
[ROW][C]39[/C][C]0.08033[/C][C]0.5448[/C][C]0.294254[/C][/ROW]
[ROW][C]40[/C][C]-0.016246[/C][C]-0.1102[/C][C]0.543629[/C][/ROW]
[ROW][C]41[/C][C]-0.072657[/C][C]-0.4928[/C][C]0.687745[/C][/ROW]
[ROW][C]42[/C][C]0.074379[/C][C]0.5045[/C][C]0.308171[/C][/ROW]
[ROW][C]43[/C][C]0.022019[/C][C]0.1493[/C][C]0.440969[/C][/ROW]
[ROW][C]44[/C][C]-0.037881[/C][C]-0.2569[/C][C]0.600807[/C][/ROW]
[ROW][C]45[/C][C]0.034676[/C][C]0.2352[/C][C]0.407554[/C][/ROW]
[ROW][C]46[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/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]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3050&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3050&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
016.78230
1-0.379777-2.57580.99336
2-0.264145-1.79150.960105
30.4426383.00210.002162
4-0.230665-1.56440.937717
5-0.121337-0.82290.792608
60.1045110.70880.241003
70.044130.29930.383028
80.1108830.7520.227928
9-0.160072-1.08570.858358
100.1202760.81580.209423
110.0258760.17550.430729
12-0.14689-0.99630.837832
130.1240940.84160.20217
14-0.075305-0.51070.694013
150.0075140.0510.479788
160.0129060.08750.465314
17-0.145204-0.98480.835067
180.2561881.73760.044491
19-0.119233-0.80870.788568
20-0.189188-1.28310.897064
210.3259832.21090.016026
22-0.19236-1.30460.900749
23-0.191336-1.29770.89957
240.2363121.60270.057918
25-0.087849-0.59580.722892
26-0.037835-0.25660.600687
270.0101510.06880.472705
280.0923170.62610.267163
29-0.031588-0.21420.584346
30-0.18144-1.23060.887633
310.1470850.99760.161852
32-0.013272-0.090.535667
33-0.164366-1.11480.864633
340.1784561.21030.116164
35-0.010824-0.07340.529103
36-0.048388-0.32820.627868
370.1079650.73230.233864
38-0.140833-0.95520.82776
390.080330.54480.294254
40-0.016246-0.11020.543629
41-0.072657-0.49280.687745
420.0743790.50450.308171
430.0220190.14930.440969
44-0.037881-0.25690.600807
450.0346760.23520.407554
46NANANA
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
0-0.379777-2.57580.99336
1-0.477203-3.23650.998877
20.1713141.16190.125633
3-0.084383-0.57230.715051
4-0.067678-0.4590.675807
5-0.232976-1.58010.939534
60.0492710.33420.369885
70.2931331.98810.026384
80.0474810.3220.374444
90.0981910.6660.25438
10-0.058822-0.39890.654112
110.0801680.54370.294628
120.1112240.75440.22724
13-0.071674-0.48610.685404
14-0.042323-0.28710.612319
15-0.177962-1.2070.883198
16-0.200129-1.35730.909352
170.1287730.87340.193496
18-0.000361-0.00240.500971
19-0.191648-1.29980.899931
20-0.044706-0.30320.618451
21-0.028542-0.19360.576321
22-0.08628-0.58520.719356
23-0.081374-0.55190.708157
24-0.119757-0.81220.789578
25-0.020279-0.13750.554398
26-0.0602-0.40830.657525
270.1127090.76440.224257
280.0068890.04670.481467
29-0.081287-0.55130.707957
30-0.069479-0.47120.680149
31-0.00617-0.04180.516599
32-0.007338-0.04980.519738
33-0.013714-0.0930.53685
340.0027970.0190.492474
35-0.017963-0.12180.548218
360.1540811.0450.150735
37-0.011617-0.07880.531228
38-0.036511-0.24760.597239
39-0.092178-0.62520.732529
400.0827580.56130.288661
41-0.100998-0.6850.75161
42-0.004744-0.03220.512766
43-0.09281-0.62950.733921
44-0.048752-0.33070.628795
45NANANA
46NANANA
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & -0.379777 & -2.5758 & 0.99336 \tabularnewline
1 & -0.477203 & -3.2365 & 0.998877 \tabularnewline
2 & 0.171314 & 1.1619 & 0.125633 \tabularnewline
3 & -0.084383 & -0.5723 & 0.715051 \tabularnewline
4 & -0.067678 & -0.459 & 0.675807 \tabularnewline
5 & -0.232976 & -1.5801 & 0.939534 \tabularnewline
6 & 0.049271 & 0.3342 & 0.369885 \tabularnewline
7 & 0.293133 & 1.9881 & 0.026384 \tabularnewline
8 & 0.047481 & 0.322 & 0.374444 \tabularnewline
9 & 0.098191 & 0.666 & 0.25438 \tabularnewline
10 & -0.058822 & -0.3989 & 0.654112 \tabularnewline
11 & 0.080168 & 0.5437 & 0.294628 \tabularnewline
12 & 0.111224 & 0.7544 & 0.22724 \tabularnewline
13 & -0.071674 & -0.4861 & 0.685404 \tabularnewline
14 & -0.042323 & -0.2871 & 0.612319 \tabularnewline
15 & -0.177962 & -1.207 & 0.883198 \tabularnewline
16 & -0.200129 & -1.3573 & 0.909352 \tabularnewline
17 & 0.128773 & 0.8734 & 0.193496 \tabularnewline
18 & -0.000361 & -0.0024 & 0.500971 \tabularnewline
19 & -0.191648 & -1.2998 & 0.899931 \tabularnewline
20 & -0.044706 & -0.3032 & 0.618451 \tabularnewline
21 & -0.028542 & -0.1936 & 0.576321 \tabularnewline
22 & -0.08628 & -0.5852 & 0.719356 \tabularnewline
23 & -0.081374 & -0.5519 & 0.708157 \tabularnewline
24 & -0.119757 & -0.8122 & 0.789578 \tabularnewline
25 & -0.020279 & -0.1375 & 0.554398 \tabularnewline
26 & -0.0602 & -0.4083 & 0.657525 \tabularnewline
27 & 0.112709 & 0.7644 & 0.224257 \tabularnewline
28 & 0.006889 & 0.0467 & 0.481467 \tabularnewline
29 & -0.081287 & -0.5513 & 0.707957 \tabularnewline
30 & -0.069479 & -0.4712 & 0.680149 \tabularnewline
31 & -0.00617 & -0.0418 & 0.516599 \tabularnewline
32 & -0.007338 & -0.0498 & 0.519738 \tabularnewline
33 & -0.013714 & -0.093 & 0.53685 \tabularnewline
34 & 0.002797 & 0.019 & 0.492474 \tabularnewline
35 & -0.017963 & -0.1218 & 0.548218 \tabularnewline
36 & 0.154081 & 1.045 & 0.150735 \tabularnewline
37 & -0.011617 & -0.0788 & 0.531228 \tabularnewline
38 & -0.036511 & -0.2476 & 0.597239 \tabularnewline
39 & -0.092178 & -0.6252 & 0.732529 \tabularnewline
40 & 0.082758 & 0.5613 & 0.288661 \tabularnewline
41 & -0.100998 & -0.685 & 0.75161 \tabularnewline
42 & -0.004744 & -0.0322 & 0.512766 \tabularnewline
43 & -0.09281 & -0.6295 & 0.733921 \tabularnewline
44 & -0.048752 & -0.3307 & 0.628795 \tabularnewline
45 & NA & NA & NA \tabularnewline
46 & NA & NA & NA \tabularnewline
47 & NA & NA & NA \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
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3050&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]-0.379777[/C][C]-2.5758[/C][C]0.99336[/C][/ROW]
[ROW][C]1[/C][C]-0.477203[/C][C]-3.2365[/C][C]0.998877[/C][/ROW]
[ROW][C]2[/C][C]0.171314[/C][C]1.1619[/C][C]0.125633[/C][/ROW]
[ROW][C]3[/C][C]-0.084383[/C][C]-0.5723[/C][C]0.715051[/C][/ROW]
[ROW][C]4[/C][C]-0.067678[/C][C]-0.459[/C][C]0.675807[/C][/ROW]
[ROW][C]5[/C][C]-0.232976[/C][C]-1.5801[/C][C]0.939534[/C][/ROW]
[ROW][C]6[/C][C]0.049271[/C][C]0.3342[/C][C]0.369885[/C][/ROW]
[ROW][C]7[/C][C]0.293133[/C][C]1.9881[/C][C]0.026384[/C][/ROW]
[ROW][C]8[/C][C]0.047481[/C][C]0.322[/C][C]0.374444[/C][/ROW]
[ROW][C]9[/C][C]0.098191[/C][C]0.666[/C][C]0.25438[/C][/ROW]
[ROW][C]10[/C][C]-0.058822[/C][C]-0.3989[/C][C]0.654112[/C][/ROW]
[ROW][C]11[/C][C]0.080168[/C][C]0.5437[/C][C]0.294628[/C][/ROW]
[ROW][C]12[/C][C]0.111224[/C][C]0.7544[/C][C]0.22724[/C][/ROW]
[ROW][C]13[/C][C]-0.071674[/C][C]-0.4861[/C][C]0.685404[/C][/ROW]
[ROW][C]14[/C][C]-0.042323[/C][C]-0.2871[/C][C]0.612319[/C][/ROW]
[ROW][C]15[/C][C]-0.177962[/C][C]-1.207[/C][C]0.883198[/C][/ROW]
[ROW][C]16[/C][C]-0.200129[/C][C]-1.3573[/C][C]0.909352[/C][/ROW]
[ROW][C]17[/C][C]0.128773[/C][C]0.8734[/C][C]0.193496[/C][/ROW]
[ROW][C]18[/C][C]-0.000361[/C][C]-0.0024[/C][C]0.500971[/C][/ROW]
[ROW][C]19[/C][C]-0.191648[/C][C]-1.2998[/C][C]0.899931[/C][/ROW]
[ROW][C]20[/C][C]-0.044706[/C][C]-0.3032[/C][C]0.618451[/C][/ROW]
[ROW][C]21[/C][C]-0.028542[/C][C]-0.1936[/C][C]0.576321[/C][/ROW]
[ROW][C]22[/C][C]-0.08628[/C][C]-0.5852[/C][C]0.719356[/C][/ROW]
[ROW][C]23[/C][C]-0.081374[/C][C]-0.5519[/C][C]0.708157[/C][/ROW]
[ROW][C]24[/C][C]-0.119757[/C][C]-0.8122[/C][C]0.789578[/C][/ROW]
[ROW][C]25[/C][C]-0.020279[/C][C]-0.1375[/C][C]0.554398[/C][/ROW]
[ROW][C]26[/C][C]-0.0602[/C][C]-0.4083[/C][C]0.657525[/C][/ROW]
[ROW][C]27[/C][C]0.112709[/C][C]0.7644[/C][C]0.224257[/C][/ROW]
[ROW][C]28[/C][C]0.006889[/C][C]0.0467[/C][C]0.481467[/C][/ROW]
[ROW][C]29[/C][C]-0.081287[/C][C]-0.5513[/C][C]0.707957[/C][/ROW]
[ROW][C]30[/C][C]-0.069479[/C][C]-0.4712[/C][C]0.680149[/C][/ROW]
[ROW][C]31[/C][C]-0.00617[/C][C]-0.0418[/C][C]0.516599[/C][/ROW]
[ROW][C]32[/C][C]-0.007338[/C][C]-0.0498[/C][C]0.519738[/C][/ROW]
[ROW][C]33[/C][C]-0.013714[/C][C]-0.093[/C][C]0.53685[/C][/ROW]
[ROW][C]34[/C][C]0.002797[/C][C]0.019[/C][C]0.492474[/C][/ROW]
[ROW][C]35[/C][C]-0.017963[/C][C]-0.1218[/C][C]0.548218[/C][/ROW]
[ROW][C]36[/C][C]0.154081[/C][C]1.045[/C][C]0.150735[/C][/ROW]
[ROW][C]37[/C][C]-0.011617[/C][C]-0.0788[/C][C]0.531228[/C][/ROW]
[ROW][C]38[/C][C]-0.036511[/C][C]-0.2476[/C][C]0.597239[/C][/ROW]
[ROW][C]39[/C][C]-0.092178[/C][C]-0.6252[/C][C]0.732529[/C][/ROW]
[ROW][C]40[/C][C]0.082758[/C][C]0.5613[/C][C]0.288661[/C][/ROW]
[ROW][C]41[/C][C]-0.100998[/C][C]-0.685[/C][C]0.75161[/C][/ROW]
[ROW][C]42[/C][C]-0.004744[/C][C]-0.0322[/C][C]0.512766[/C][/ROW]
[ROW][C]43[/C][C]-0.09281[/C][C]-0.6295[/C][C]0.733921[/C][/ROW]
[ROW][C]44[/C][C]-0.048752[/C][C]-0.3307[/C][C]0.628795[/C][/ROW]
[ROW][C]45[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]46[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/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]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3050&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3050&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
0-0.379777-2.57580.99336
1-0.477203-3.23650.998877
20.1713141.16190.125633
3-0.084383-0.57230.715051
4-0.067678-0.4590.675807
5-0.232976-1.58010.939534
60.0492710.33420.369885
70.2931331.98810.026384
80.0474810.3220.374444
90.0981910.6660.25438
10-0.058822-0.39890.654112
110.0801680.54370.294628
120.1112240.75440.22724
13-0.071674-0.48610.685404
14-0.042323-0.28710.612319
15-0.177962-1.2070.883198
16-0.200129-1.35730.909352
170.1287730.87340.193496
18-0.000361-0.00240.500971
19-0.191648-1.29980.899931
20-0.044706-0.30320.618451
21-0.028542-0.19360.576321
22-0.08628-0.58520.719356
23-0.081374-0.55190.708157
24-0.119757-0.81220.789578
25-0.020279-0.13750.554398
26-0.0602-0.40830.657525
270.1127090.76440.224257
280.0068890.04670.481467
29-0.081287-0.55130.707957
30-0.069479-0.47120.680149
31-0.00617-0.04180.516599
32-0.007338-0.04980.519738
33-0.013714-0.0930.53685
340.0027970.0190.492474
35-0.017963-0.12180.548218
360.1540811.0450.150735
37-0.011617-0.07880.531228
38-0.036511-0.24760.597239
39-0.092178-0.62520.732529
400.0827580.56130.288661
41-0.100998-0.6850.75161
42-0.004744-0.03220.512766
43-0.09281-0.62950.733921
44-0.048752-0.33070.628795
45NANANA
46NANANA
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 2 ; par4 = 1 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 2 ; 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')