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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 computationMon, 15 Dec 2008 15:13:02 -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/15/t1229379320luz3jfpfofango3.htm/, Retrieved Wed, 15 May 2024 22:22:34 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=33834, Retrieved Wed, 15 May 2024 22:22:34 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact200
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [data set] [2008-12-01 19:54:57] [b98453cac15ba1066b407e146608df68]
F RMPD  [(Partial) Autocorrelation Function] [ACF] [2008-12-08 22:50:25] [8d78428855b119373cac369316c08983]
-   P       [(Partial) Autocorrelation Function] [verbetering] [2008-12-15 22:13:02] [d6e9f26c3644bfc30f06303d9993b878] [Current]
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Dataseries X:
11703.7
16283.6
16726.5
14968.9
14861.0
14583.3
15305.8
17903.9
16379.4
15420.3
17870.5
15912.8
13866.5
17823.2
17872.0
17420.4
16704.4
15991.2
16583.6
19123.5
17838.7
17209.4
18586.5
16258.1
15141.6
19202.1
17746.5
19090.1
18040.3
17515.5
17751.8
21072.4
17170.0
19439.5
19795.4
17574.9
16165.4
19464.6
19932.1
19961.2
17343.4
18924.2
18574.1
21350.6
18594.6
19823.1
20844.4
19640.2
17735.4
19813.6
22160.0
20664.3
17877.4
21211.2
21423.1
21688.7
23243.2
21490.2
22925.8
23184.8
18562.2




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=33834&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=33834&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33834&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
1-0.133181-0.93230.177885
20.1051180.73580.232672
30.4256242.97940.002242
4-0.064091-0.44860.327834
50.0116750.08170.467599
60.236511.65560.0521
7-0.211688-1.48180.072396
80.021620.15130.440165
90.1729491.21060.11592
10-0.106141-0.7430.230519
11-0.097161-0.68010.249812
120.0724420.50710.307181
13-0.114252-0.79980.213854
14-0.091584-0.64110.262226
150.0367120.2570.399132
16-0.220544-1.54380.064535
17-0.005512-0.03860.48469
180.0342490.23970.405764
19-0.136172-0.95320.172583
200.0212450.14870.441194
210.0011430.0080.496825
22-0.175499-1.22850.112565
230.194221.35950.0901
24-0.260447-1.82310.037194
25-0.018382-0.12870.449072
260.0754120.52790.299981
27-0.149845-1.04890.149682
28-0.075143-0.5260.300629
290.069640.48750.314047
30-0.152294-1.06610.14581
31-0.076438-0.53510.297513
320.0125820.08810.465089
33-0.143422-1.0040.160167
34-0.064237-0.44970.32747
350.0305860.21410.415678
36-0.076094-0.53270.298338
37-0.039511-0.27660.391634
380.0795120.55660.290173
390.0074550.05220.479296
40-0.015498-0.10850.457027
410.1115810.78110.219261
420.026890.18820.425738
430.0353110.24720.402902
440.1061970.74340.230402
45-0.014512-0.10160.459751
460.0248840.17420.431219
470.037680.26380.396535
48-0.009589-0.06710.473378
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 & -0.133181 & -0.9323 & 0.177885 \tabularnewline
2 & 0.105118 & 0.7358 & 0.232672 \tabularnewline
3 & 0.425624 & 2.9794 & 0.002242 \tabularnewline
4 & -0.064091 & -0.4486 & 0.327834 \tabularnewline
5 & 0.011675 & 0.0817 & 0.467599 \tabularnewline
6 & 0.23651 & 1.6556 & 0.0521 \tabularnewline
7 & -0.211688 & -1.4818 & 0.072396 \tabularnewline
8 & 0.02162 & 0.1513 & 0.440165 \tabularnewline
9 & 0.172949 & 1.2106 & 0.11592 \tabularnewline
10 & -0.106141 & -0.743 & 0.230519 \tabularnewline
11 & -0.097161 & -0.6801 & 0.249812 \tabularnewline
12 & 0.072442 & 0.5071 & 0.307181 \tabularnewline
13 & -0.114252 & -0.7998 & 0.213854 \tabularnewline
14 & -0.091584 & -0.6411 & 0.262226 \tabularnewline
15 & 0.036712 & 0.257 & 0.399132 \tabularnewline
16 & -0.220544 & -1.5438 & 0.064535 \tabularnewline
17 & -0.005512 & -0.0386 & 0.48469 \tabularnewline
18 & 0.034249 & 0.2397 & 0.405764 \tabularnewline
19 & -0.136172 & -0.9532 & 0.172583 \tabularnewline
20 & 0.021245 & 0.1487 & 0.441194 \tabularnewline
21 & 0.001143 & 0.008 & 0.496825 \tabularnewline
22 & -0.175499 & -1.2285 & 0.112565 \tabularnewline
23 & 0.19422 & 1.3595 & 0.0901 \tabularnewline
24 & -0.260447 & -1.8231 & 0.037194 \tabularnewline
25 & -0.018382 & -0.1287 & 0.449072 \tabularnewline
26 & 0.075412 & 0.5279 & 0.299981 \tabularnewline
27 & -0.149845 & -1.0489 & 0.149682 \tabularnewline
28 & -0.075143 & -0.526 & 0.300629 \tabularnewline
29 & 0.06964 & 0.4875 & 0.314047 \tabularnewline
30 & -0.152294 & -1.0661 & 0.14581 \tabularnewline
31 & -0.076438 & -0.5351 & 0.297513 \tabularnewline
32 & 0.012582 & 0.0881 & 0.465089 \tabularnewline
33 & -0.143422 & -1.004 & 0.160167 \tabularnewline
34 & -0.064237 & -0.4497 & 0.32747 \tabularnewline
35 & 0.030586 & 0.2141 & 0.415678 \tabularnewline
36 & -0.076094 & -0.5327 & 0.298338 \tabularnewline
37 & -0.039511 & -0.2766 & 0.391634 \tabularnewline
38 & 0.079512 & 0.5566 & 0.290173 \tabularnewline
39 & 0.007455 & 0.0522 & 0.479296 \tabularnewline
40 & -0.015498 & -0.1085 & 0.457027 \tabularnewline
41 & 0.111581 & 0.7811 & 0.219261 \tabularnewline
42 & 0.02689 & 0.1882 & 0.425738 \tabularnewline
43 & 0.035311 & 0.2472 & 0.402902 \tabularnewline
44 & 0.106197 & 0.7434 & 0.230402 \tabularnewline
45 & -0.014512 & -0.1016 & 0.459751 \tabularnewline
46 & 0.024884 & 0.1742 & 0.431219 \tabularnewline
47 & 0.03768 & 0.2638 & 0.396535 \tabularnewline
48 & -0.009589 & -0.0671 & 0.473378 \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=33834&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]-0.133181[/C][C]-0.9323[/C][C]0.177885[/C][/ROW]
[ROW][C]2[/C][C]0.105118[/C][C]0.7358[/C][C]0.232672[/C][/ROW]
[ROW][C]3[/C][C]0.425624[/C][C]2.9794[/C][C]0.002242[/C][/ROW]
[ROW][C]4[/C][C]-0.064091[/C][C]-0.4486[/C][C]0.327834[/C][/ROW]
[ROW][C]5[/C][C]0.011675[/C][C]0.0817[/C][C]0.467599[/C][/ROW]
[ROW][C]6[/C][C]0.23651[/C][C]1.6556[/C][C]0.0521[/C][/ROW]
[ROW][C]7[/C][C]-0.211688[/C][C]-1.4818[/C][C]0.072396[/C][/ROW]
[ROW][C]8[/C][C]0.02162[/C][C]0.1513[/C][C]0.440165[/C][/ROW]
[ROW][C]9[/C][C]0.172949[/C][C]1.2106[/C][C]0.11592[/C][/ROW]
[ROW][C]10[/C][C]-0.106141[/C][C]-0.743[/C][C]0.230519[/C][/ROW]
[ROW][C]11[/C][C]-0.097161[/C][C]-0.6801[/C][C]0.249812[/C][/ROW]
[ROW][C]12[/C][C]0.072442[/C][C]0.5071[/C][C]0.307181[/C][/ROW]
[ROW][C]13[/C][C]-0.114252[/C][C]-0.7998[/C][C]0.213854[/C][/ROW]
[ROW][C]14[/C][C]-0.091584[/C][C]-0.6411[/C][C]0.262226[/C][/ROW]
[ROW][C]15[/C][C]0.036712[/C][C]0.257[/C][C]0.399132[/C][/ROW]
[ROW][C]16[/C][C]-0.220544[/C][C]-1.5438[/C][C]0.064535[/C][/ROW]
[ROW][C]17[/C][C]-0.005512[/C][C]-0.0386[/C][C]0.48469[/C][/ROW]
[ROW][C]18[/C][C]0.034249[/C][C]0.2397[/C][C]0.405764[/C][/ROW]
[ROW][C]19[/C][C]-0.136172[/C][C]-0.9532[/C][C]0.172583[/C][/ROW]
[ROW][C]20[/C][C]0.021245[/C][C]0.1487[/C][C]0.441194[/C][/ROW]
[ROW][C]21[/C][C]0.001143[/C][C]0.008[/C][C]0.496825[/C][/ROW]
[ROW][C]22[/C][C]-0.175499[/C][C]-1.2285[/C][C]0.112565[/C][/ROW]
[ROW][C]23[/C][C]0.19422[/C][C]1.3595[/C][C]0.0901[/C][/ROW]
[ROW][C]24[/C][C]-0.260447[/C][C]-1.8231[/C][C]0.037194[/C][/ROW]
[ROW][C]25[/C][C]-0.018382[/C][C]-0.1287[/C][C]0.449072[/C][/ROW]
[ROW][C]26[/C][C]0.075412[/C][C]0.5279[/C][C]0.299981[/C][/ROW]
[ROW][C]27[/C][C]-0.149845[/C][C]-1.0489[/C][C]0.149682[/C][/ROW]
[ROW][C]28[/C][C]-0.075143[/C][C]-0.526[/C][C]0.300629[/C][/ROW]
[ROW][C]29[/C][C]0.06964[/C][C]0.4875[/C][C]0.314047[/C][/ROW]
[ROW][C]30[/C][C]-0.152294[/C][C]-1.0661[/C][C]0.14581[/C][/ROW]
[ROW][C]31[/C][C]-0.076438[/C][C]-0.5351[/C][C]0.297513[/C][/ROW]
[ROW][C]32[/C][C]0.012582[/C][C]0.0881[/C][C]0.465089[/C][/ROW]
[ROW][C]33[/C][C]-0.143422[/C][C]-1.004[/C][C]0.160167[/C][/ROW]
[ROW][C]34[/C][C]-0.064237[/C][C]-0.4497[/C][C]0.32747[/C][/ROW]
[ROW][C]35[/C][C]0.030586[/C][C]0.2141[/C][C]0.415678[/C][/ROW]
[ROW][C]36[/C][C]-0.076094[/C][C]-0.5327[/C][C]0.298338[/C][/ROW]
[ROW][C]37[/C][C]-0.039511[/C][C]-0.2766[/C][C]0.391634[/C][/ROW]
[ROW][C]38[/C][C]0.079512[/C][C]0.5566[/C][C]0.290173[/C][/ROW]
[ROW][C]39[/C][C]0.007455[/C][C]0.0522[/C][C]0.479296[/C][/ROW]
[ROW][C]40[/C][C]-0.015498[/C][C]-0.1085[/C][C]0.457027[/C][/ROW]
[ROW][C]41[/C][C]0.111581[/C][C]0.7811[/C][C]0.219261[/C][/ROW]
[ROW][C]42[/C][C]0.02689[/C][C]0.1882[/C][C]0.425738[/C][/ROW]
[ROW][C]43[/C][C]0.035311[/C][C]0.2472[/C][C]0.402902[/C][/ROW]
[ROW][C]44[/C][C]0.106197[/C][C]0.7434[/C][C]0.230402[/C][/ROW]
[ROW][C]45[/C][C]-0.014512[/C][C]-0.1016[/C][C]0.459751[/C][/ROW]
[ROW][C]46[/C][C]0.024884[/C][C]0.1742[/C][C]0.431219[/C][/ROW]
[ROW][C]47[/C][C]0.03768[/C][C]0.2638[/C][C]0.396535[/C][/ROW]
[ROW][C]48[/C][C]-0.009589[/C][C]-0.0671[/C][C]0.473378[/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=33834&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33834&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
1-0.133181-0.93230.177885
20.1051180.73580.232672
30.4256242.97940.002242
4-0.064091-0.44860.327834
50.0116750.08170.467599
60.236511.65560.0521
7-0.211688-1.48180.072396
80.021620.15130.440165
90.1729491.21060.11592
10-0.106141-0.7430.230519
11-0.097161-0.68010.249812
120.0724420.50710.307181
13-0.114252-0.79980.213854
14-0.091584-0.64110.262226
150.0367120.2570.399132
16-0.220544-1.54380.064535
17-0.005512-0.03860.48469
180.0342490.23970.405764
19-0.136172-0.95320.172583
200.0212450.14870.441194
210.0011430.0080.496825
22-0.175499-1.22850.112565
230.194221.35950.0901
24-0.260447-1.82310.037194
25-0.018382-0.12870.449072
260.0754120.52790.299981
27-0.149845-1.04890.149682
28-0.075143-0.5260.300629
290.069640.48750.314047
30-0.152294-1.06610.14581
31-0.076438-0.53510.297513
320.0125820.08810.465089
33-0.143422-1.0040.160167
34-0.064237-0.44970.32747
350.0305860.21410.415678
36-0.076094-0.53270.298338
37-0.039511-0.27660.391634
380.0795120.55660.290173
390.0074550.05220.479296
40-0.015498-0.10850.457027
410.1115810.78110.219261
420.026890.18820.425738
430.0353110.24720.402902
440.1061970.74340.230402
45-0.014512-0.10160.459751
460.0248840.17420.431219
470.037680.26380.396535
48-0.009589-0.06710.473378
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.133181-0.93230.177885
20.0889590.62270.268181
30.4620123.23410.001094
40.0669710.46880.320648
5-0.129872-0.90910.183873
60.027760.19430.423364
7-0.185787-1.30050.099755
8-0.055987-0.39190.348412
90.1472341.03060.153885
100.1438051.00660.159527
11-0.157209-1.10050.138253
12-0.176291-1.2340.111537
13-0.065328-0.45730.324741
14-0.027334-0.19130.424526
150.0605390.42380.336793
16-0.099718-0.6980.24423
170.0279530.19570.422839
180.0089380.06260.475184
19-0.014462-0.10120.459888
200.043730.30610.380409
21-0.018167-0.12720.449662
22-0.182732-1.27910.103439
230.1326690.92870.178803
24-0.221012-1.54710.064139
250.0287920.20150.420554
260.0420770.29450.384794
27-0.002967-0.02080.491757
28-0.138541-0.96980.168457
29-0.089459-0.62620.267042
300.0178290.12480.450595
31-0.120285-0.8420.20194
32-0.083932-0.58750.279775
33-0.01247-0.08730.465397
340.058550.40990.34185
35-0.066881-0.46820.320869
360.0057570.04030.484008
370.0311480.2180.414153
38-0.064955-0.45470.325673
390.0916120.64130.262163
40-0.045483-0.31840.375775
410.0400160.28010.390285
420.0336350.23540.407423
430.0238320.16680.434096
44-0.035184-0.24630.403244
45-0.071669-0.50170.309068
46-0.134636-0.94250.175292
470.0056520.03960.4843
48-0.101818-0.71270.239697
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 & -0.133181 & -0.9323 & 0.177885 \tabularnewline
2 & 0.088959 & 0.6227 & 0.268181 \tabularnewline
3 & 0.462012 & 3.2341 & 0.001094 \tabularnewline
4 & 0.066971 & 0.4688 & 0.320648 \tabularnewline
5 & -0.129872 & -0.9091 & 0.183873 \tabularnewline
6 & 0.02776 & 0.1943 & 0.423364 \tabularnewline
7 & -0.185787 & -1.3005 & 0.099755 \tabularnewline
8 & -0.055987 & -0.3919 & 0.348412 \tabularnewline
9 & 0.147234 & 1.0306 & 0.153885 \tabularnewline
10 & 0.143805 & 1.0066 & 0.159527 \tabularnewline
11 & -0.157209 & -1.1005 & 0.138253 \tabularnewline
12 & -0.176291 & -1.234 & 0.111537 \tabularnewline
13 & -0.065328 & -0.4573 & 0.324741 \tabularnewline
14 & -0.027334 & -0.1913 & 0.424526 \tabularnewline
15 & 0.060539 & 0.4238 & 0.336793 \tabularnewline
16 & -0.099718 & -0.698 & 0.24423 \tabularnewline
17 & 0.027953 & 0.1957 & 0.422839 \tabularnewline
18 & 0.008938 & 0.0626 & 0.475184 \tabularnewline
19 & -0.014462 & -0.1012 & 0.459888 \tabularnewline
20 & 0.04373 & 0.3061 & 0.380409 \tabularnewline
21 & -0.018167 & -0.1272 & 0.449662 \tabularnewline
22 & -0.182732 & -1.2791 & 0.103439 \tabularnewline
23 & 0.132669 & 0.9287 & 0.178803 \tabularnewline
24 & -0.221012 & -1.5471 & 0.064139 \tabularnewline
25 & 0.028792 & 0.2015 & 0.420554 \tabularnewline
26 & 0.042077 & 0.2945 & 0.384794 \tabularnewline
27 & -0.002967 & -0.0208 & 0.491757 \tabularnewline
28 & -0.138541 & -0.9698 & 0.168457 \tabularnewline
29 & -0.089459 & -0.6262 & 0.267042 \tabularnewline
30 & 0.017829 & 0.1248 & 0.450595 \tabularnewline
31 & -0.120285 & -0.842 & 0.20194 \tabularnewline
32 & -0.083932 & -0.5875 & 0.279775 \tabularnewline
33 & -0.01247 & -0.0873 & 0.465397 \tabularnewline
34 & 0.05855 & 0.4099 & 0.34185 \tabularnewline
35 & -0.066881 & -0.4682 & 0.320869 \tabularnewline
36 & 0.005757 & 0.0403 & 0.484008 \tabularnewline
37 & 0.031148 & 0.218 & 0.414153 \tabularnewline
38 & -0.064955 & -0.4547 & 0.325673 \tabularnewline
39 & 0.091612 & 0.6413 & 0.262163 \tabularnewline
40 & -0.045483 & -0.3184 & 0.375775 \tabularnewline
41 & 0.040016 & 0.2801 & 0.390285 \tabularnewline
42 & 0.033635 & 0.2354 & 0.407423 \tabularnewline
43 & 0.023832 & 0.1668 & 0.434096 \tabularnewline
44 & -0.035184 & -0.2463 & 0.403244 \tabularnewline
45 & -0.071669 & -0.5017 & 0.309068 \tabularnewline
46 & -0.134636 & -0.9425 & 0.175292 \tabularnewline
47 & 0.005652 & 0.0396 & 0.4843 \tabularnewline
48 & -0.101818 & -0.7127 & 0.239697 \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=33834&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]-0.133181[/C][C]-0.9323[/C][C]0.177885[/C][/ROW]
[ROW][C]2[/C][C]0.088959[/C][C]0.6227[/C][C]0.268181[/C][/ROW]
[ROW][C]3[/C][C]0.462012[/C][C]3.2341[/C][C]0.001094[/C][/ROW]
[ROW][C]4[/C][C]0.066971[/C][C]0.4688[/C][C]0.320648[/C][/ROW]
[ROW][C]5[/C][C]-0.129872[/C][C]-0.9091[/C][C]0.183873[/C][/ROW]
[ROW][C]6[/C][C]0.02776[/C][C]0.1943[/C][C]0.423364[/C][/ROW]
[ROW][C]7[/C][C]-0.185787[/C][C]-1.3005[/C][C]0.099755[/C][/ROW]
[ROW][C]8[/C][C]-0.055987[/C][C]-0.3919[/C][C]0.348412[/C][/ROW]
[ROW][C]9[/C][C]0.147234[/C][C]1.0306[/C][C]0.153885[/C][/ROW]
[ROW][C]10[/C][C]0.143805[/C][C]1.0066[/C][C]0.159527[/C][/ROW]
[ROW][C]11[/C][C]-0.157209[/C][C]-1.1005[/C][C]0.138253[/C][/ROW]
[ROW][C]12[/C][C]-0.176291[/C][C]-1.234[/C][C]0.111537[/C][/ROW]
[ROW][C]13[/C][C]-0.065328[/C][C]-0.4573[/C][C]0.324741[/C][/ROW]
[ROW][C]14[/C][C]-0.027334[/C][C]-0.1913[/C][C]0.424526[/C][/ROW]
[ROW][C]15[/C][C]0.060539[/C][C]0.4238[/C][C]0.336793[/C][/ROW]
[ROW][C]16[/C][C]-0.099718[/C][C]-0.698[/C][C]0.24423[/C][/ROW]
[ROW][C]17[/C][C]0.027953[/C][C]0.1957[/C][C]0.422839[/C][/ROW]
[ROW][C]18[/C][C]0.008938[/C][C]0.0626[/C][C]0.475184[/C][/ROW]
[ROW][C]19[/C][C]-0.014462[/C][C]-0.1012[/C][C]0.459888[/C][/ROW]
[ROW][C]20[/C][C]0.04373[/C][C]0.3061[/C][C]0.380409[/C][/ROW]
[ROW][C]21[/C][C]-0.018167[/C][C]-0.1272[/C][C]0.449662[/C][/ROW]
[ROW][C]22[/C][C]-0.182732[/C][C]-1.2791[/C][C]0.103439[/C][/ROW]
[ROW][C]23[/C][C]0.132669[/C][C]0.9287[/C][C]0.178803[/C][/ROW]
[ROW][C]24[/C][C]-0.221012[/C][C]-1.5471[/C][C]0.064139[/C][/ROW]
[ROW][C]25[/C][C]0.028792[/C][C]0.2015[/C][C]0.420554[/C][/ROW]
[ROW][C]26[/C][C]0.042077[/C][C]0.2945[/C][C]0.384794[/C][/ROW]
[ROW][C]27[/C][C]-0.002967[/C][C]-0.0208[/C][C]0.491757[/C][/ROW]
[ROW][C]28[/C][C]-0.138541[/C][C]-0.9698[/C][C]0.168457[/C][/ROW]
[ROW][C]29[/C][C]-0.089459[/C][C]-0.6262[/C][C]0.267042[/C][/ROW]
[ROW][C]30[/C][C]0.017829[/C][C]0.1248[/C][C]0.450595[/C][/ROW]
[ROW][C]31[/C][C]-0.120285[/C][C]-0.842[/C][C]0.20194[/C][/ROW]
[ROW][C]32[/C][C]-0.083932[/C][C]-0.5875[/C][C]0.279775[/C][/ROW]
[ROW][C]33[/C][C]-0.01247[/C][C]-0.0873[/C][C]0.465397[/C][/ROW]
[ROW][C]34[/C][C]0.05855[/C][C]0.4099[/C][C]0.34185[/C][/ROW]
[ROW][C]35[/C][C]-0.066881[/C][C]-0.4682[/C][C]0.320869[/C][/ROW]
[ROW][C]36[/C][C]0.005757[/C][C]0.0403[/C][C]0.484008[/C][/ROW]
[ROW][C]37[/C][C]0.031148[/C][C]0.218[/C][C]0.414153[/C][/ROW]
[ROW][C]38[/C][C]-0.064955[/C][C]-0.4547[/C][C]0.325673[/C][/ROW]
[ROW][C]39[/C][C]0.091612[/C][C]0.6413[/C][C]0.262163[/C][/ROW]
[ROW][C]40[/C][C]-0.045483[/C][C]-0.3184[/C][C]0.375775[/C][/ROW]
[ROW][C]41[/C][C]0.040016[/C][C]0.2801[/C][C]0.390285[/C][/ROW]
[ROW][C]42[/C][C]0.033635[/C][C]0.2354[/C][C]0.407423[/C][/ROW]
[ROW][C]43[/C][C]0.023832[/C][C]0.1668[/C][C]0.434096[/C][/ROW]
[ROW][C]44[/C][C]-0.035184[/C][C]-0.2463[/C][C]0.403244[/C][/ROW]
[ROW][C]45[/C][C]-0.071669[/C][C]-0.5017[/C][C]0.309068[/C][/ROW]
[ROW][C]46[/C][C]-0.134636[/C][C]-0.9425[/C][C]0.175292[/C][/ROW]
[ROW][C]47[/C][C]0.005652[/C][C]0.0396[/C][C]0.4843[/C][/ROW]
[ROW][C]48[/C][C]-0.101818[/C][C]-0.7127[/C][C]0.239697[/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=33834&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33834&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
1-0.133181-0.93230.177885
20.0889590.62270.268181
30.4620123.23410.001094
40.0669710.46880.320648
5-0.129872-0.90910.183873
60.027760.19430.423364
7-0.185787-1.30050.099755
8-0.055987-0.39190.348412
90.1472341.03060.153885
100.1438051.00660.159527
11-0.157209-1.10050.138253
12-0.176291-1.2340.111537
13-0.065328-0.45730.324741
14-0.027334-0.19130.424526
150.0605390.42380.336793
16-0.099718-0.6980.24423
170.0279530.19570.422839
180.0089380.06260.475184
19-0.014462-0.10120.459888
200.043730.30610.380409
21-0.018167-0.12720.449662
22-0.182732-1.27910.103439
230.1326690.92870.178803
24-0.221012-1.54710.064139
250.0287920.20150.420554
260.0420770.29450.384794
27-0.002967-0.02080.491757
28-0.138541-0.96980.168457
29-0.089459-0.62620.267042
300.0178290.12480.450595
31-0.120285-0.8420.20194
32-0.083932-0.58750.279775
33-0.01247-0.08730.465397
340.058550.40990.34185
35-0.066881-0.46820.320869
360.0057570.04030.484008
370.0311480.2180.414153
38-0.064955-0.45470.325673
390.0916120.64130.262163
40-0.045483-0.31840.375775
410.0400160.28010.390285
420.0336350.23540.407423
430.0238320.16680.434096
44-0.035184-0.24630.403244
45-0.071669-0.50170.309068
46-0.134636-0.94250.175292
470.0056520.03960.4843
48-0.101818-0.71270.239697
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA



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