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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationThu, 29 Nov 2007 03:36:13 -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/Nov/29/t119633199957dl35hpykohev6.htm/, Retrieved Fri, 03 May 2024 06:57:00 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7390, Retrieved Fri, 03 May 2024 06:57:00 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsChristel Stuer, Steven Coomans
Estimated Impact192
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [WS 4 - Q2 - metho...] [2007-11-29 10:36:13] [7071e8240f1069aec69cdda95d3fa1f8] [Current]
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Dataseries X:
118,4
108,1
105,4
114,6
106,9
115,9
109,8
101,8
114,2
110,8
108,4
127,5
128,6
116,6
127,4
105
108,3
125
111,6
106,5
130,3
115
116,1
134
126,5
125,8
136,4
114,9
110,9
125,5
116,8
116,8
125,5
104,2
115,1
132,8
123,3
124,8
122
117,4
117,9
137,4
114,6
124,7
129,6
109,4
120,9
134,9
136,3
133,2
127,2
122,7
120,5
137,8
119,1
124,3
134,4
121,7
121
128,6




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7390&T=0

[TABLE]
[ROW][C]Summary of compuational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7390&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7390&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
017.7460
10.2271961.75990.041765
20.1069440.82840.205368
30.479343.7130.000225
4-0.040839-0.31630.623576
50.0666410.51620.303805
60.4719223.65550.000271
7-0.07566-0.58610.719983
8-0.033764-0.26150.602712
90.3407652.63960.005282
10-0.145989-1.13080.868685
110.0442360.34270.366529
120.5013573.88350.00013
13-0.034405-0.26650.604617
140.0342080.2650.395969
150.2444731.89370.031546
16-0.20864-1.61610.944343
17-0.021371-0.16550.565462
180.2108221.6330.053851
19-0.23091-1.78860.960638
20-0.122253-0.9470.826273
210.0962130.74530.229512
22-0.220458-1.70770.953565
230.0307080.23790.4064
240.2237531.73320.0441
25-0.111447-0.86330.804284
260.021820.1690.433175
270.1790641.3870.085283
28-0.152275-1.17950.878576
290.0102880.07970.468375
300.1141490.88420.190061
31-0.12441-0.96370.830462
32-0.032825-0.25430.599917
33-0.002695-0.02090.508292
34-0.220596-1.70870.953665
35-0.044557-0.34510.6344
360.0723950.56080.288522
37-0.142863-1.10660.863561
38-0.08791-0.6810.750739
39-0.05352-0.41460.660031
40-0.223423-1.73060.955671
41-0.127229-0.98550.835835
42-0.084745-0.65640.742973
43-0.157513-1.22010.886397
44-0.09313-0.72140.763261
45-0.093472-0.7240.76407
46-0.211554-1.63870.946744
47-0.140057-1.08490.858841
48-0.09188-0.71170.760295
49-0.147354-1.14140.87088
50-0.074938-0.58050.718113
51-0.084506-0.65460.742379
52-0.106935-0.82830.794613
53-0.049765-0.38550.649377
54-0.057709-0.4470.671763
55-0.058735-0.4550.674609
56-0.018866-0.14610.557848
57-0.024994-0.19360.576429
58-0.019099-0.14790.558557
59-0.003005-0.02330.509246

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 7.746 & 0 \tabularnewline
1 & 0.227196 & 1.7599 & 0.041765 \tabularnewline
2 & 0.106944 & 0.8284 & 0.205368 \tabularnewline
3 & 0.47934 & 3.713 & 0.000225 \tabularnewline
4 & -0.040839 & -0.3163 & 0.623576 \tabularnewline
5 & 0.066641 & 0.5162 & 0.303805 \tabularnewline
6 & 0.471922 & 3.6555 & 0.000271 \tabularnewline
7 & -0.07566 & -0.5861 & 0.719983 \tabularnewline
8 & -0.033764 & -0.2615 & 0.602712 \tabularnewline
9 & 0.340765 & 2.6396 & 0.005282 \tabularnewline
10 & -0.145989 & -1.1308 & 0.868685 \tabularnewline
11 & 0.044236 & 0.3427 & 0.366529 \tabularnewline
12 & 0.501357 & 3.8835 & 0.00013 \tabularnewline
13 & -0.034405 & -0.2665 & 0.604617 \tabularnewline
14 & 0.034208 & 0.265 & 0.395969 \tabularnewline
15 & 0.244473 & 1.8937 & 0.031546 \tabularnewline
16 & -0.20864 & -1.6161 & 0.944343 \tabularnewline
17 & -0.021371 & -0.1655 & 0.565462 \tabularnewline
18 & 0.210822 & 1.633 & 0.053851 \tabularnewline
19 & -0.23091 & -1.7886 & 0.960638 \tabularnewline
20 & -0.122253 & -0.947 & 0.826273 \tabularnewline
21 & 0.096213 & 0.7453 & 0.229512 \tabularnewline
22 & -0.220458 & -1.7077 & 0.953565 \tabularnewline
23 & 0.030708 & 0.2379 & 0.4064 \tabularnewline
24 & 0.223753 & 1.7332 & 0.0441 \tabularnewline
25 & -0.111447 & -0.8633 & 0.804284 \tabularnewline
26 & 0.02182 & 0.169 & 0.433175 \tabularnewline
27 & 0.179064 & 1.387 & 0.085283 \tabularnewline
28 & -0.152275 & -1.1795 & 0.878576 \tabularnewline
29 & 0.010288 & 0.0797 & 0.468375 \tabularnewline
30 & 0.114149 & 0.8842 & 0.190061 \tabularnewline
31 & -0.12441 & -0.9637 & 0.830462 \tabularnewline
32 & -0.032825 & -0.2543 & 0.599917 \tabularnewline
33 & -0.002695 & -0.0209 & 0.508292 \tabularnewline
34 & -0.220596 & -1.7087 & 0.953665 \tabularnewline
35 & -0.044557 & -0.3451 & 0.6344 \tabularnewline
36 & 0.072395 & 0.5608 & 0.288522 \tabularnewline
37 & -0.142863 & -1.1066 & 0.863561 \tabularnewline
38 & -0.08791 & -0.681 & 0.750739 \tabularnewline
39 & -0.05352 & -0.4146 & 0.660031 \tabularnewline
40 & -0.223423 & -1.7306 & 0.955671 \tabularnewline
41 & -0.127229 & -0.9855 & 0.835835 \tabularnewline
42 & -0.084745 & -0.6564 & 0.742973 \tabularnewline
43 & -0.157513 & -1.2201 & 0.886397 \tabularnewline
44 & -0.09313 & -0.7214 & 0.763261 \tabularnewline
45 & -0.093472 & -0.724 & 0.76407 \tabularnewline
46 & -0.211554 & -1.6387 & 0.946744 \tabularnewline
47 & -0.140057 & -1.0849 & 0.858841 \tabularnewline
48 & -0.09188 & -0.7117 & 0.760295 \tabularnewline
49 & -0.147354 & -1.1414 & 0.87088 \tabularnewline
50 & -0.074938 & -0.5805 & 0.718113 \tabularnewline
51 & -0.084506 & -0.6546 & 0.742379 \tabularnewline
52 & -0.106935 & -0.8283 & 0.794613 \tabularnewline
53 & -0.049765 & -0.3855 & 0.649377 \tabularnewline
54 & -0.057709 & -0.447 & 0.671763 \tabularnewline
55 & -0.058735 & -0.455 & 0.674609 \tabularnewline
56 & -0.018866 & -0.1461 & 0.557848 \tabularnewline
57 & -0.024994 & -0.1936 & 0.576429 \tabularnewline
58 & -0.019099 & -0.1479 & 0.558557 \tabularnewline
59 & -0.003005 & -0.0233 & 0.509246 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7390&T=1

[TABLE]
[ROW][C]Autocorrelation Function[/C][/ROW]
[ROW][C]Time lag k[/C][C]ACF(k)[/C][C]T-STAT[/C][C]P-value[/C][/ROW]
[ROW][C]0[/C][C]1[/C][C]7.746[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.227196[/C][C]1.7599[/C][C]0.041765[/C][/ROW]
[ROW][C]2[/C][C]0.106944[/C][C]0.8284[/C][C]0.205368[/C][/ROW]
[ROW][C]3[/C][C]0.47934[/C][C]3.713[/C][C]0.000225[/C][/ROW]
[ROW][C]4[/C][C]-0.040839[/C][C]-0.3163[/C][C]0.623576[/C][/ROW]
[ROW][C]5[/C][C]0.066641[/C][C]0.5162[/C][C]0.303805[/C][/ROW]
[ROW][C]6[/C][C]0.471922[/C][C]3.6555[/C][C]0.000271[/C][/ROW]
[ROW][C]7[/C][C]-0.07566[/C][C]-0.5861[/C][C]0.719983[/C][/ROW]
[ROW][C]8[/C][C]-0.033764[/C][C]-0.2615[/C][C]0.602712[/C][/ROW]
[ROW][C]9[/C][C]0.340765[/C][C]2.6396[/C][C]0.005282[/C][/ROW]
[ROW][C]10[/C][C]-0.145989[/C][C]-1.1308[/C][C]0.868685[/C][/ROW]
[ROW][C]11[/C][C]0.044236[/C][C]0.3427[/C][C]0.366529[/C][/ROW]
[ROW][C]12[/C][C]0.501357[/C][C]3.8835[/C][C]0.00013[/C][/ROW]
[ROW][C]13[/C][C]-0.034405[/C][C]-0.2665[/C][C]0.604617[/C][/ROW]
[ROW][C]14[/C][C]0.034208[/C][C]0.265[/C][C]0.395969[/C][/ROW]
[ROW][C]15[/C][C]0.244473[/C][C]1.8937[/C][C]0.031546[/C][/ROW]
[ROW][C]16[/C][C]-0.20864[/C][C]-1.6161[/C][C]0.944343[/C][/ROW]
[ROW][C]17[/C][C]-0.021371[/C][C]-0.1655[/C][C]0.565462[/C][/ROW]
[ROW][C]18[/C][C]0.210822[/C][C]1.633[/C][C]0.053851[/C][/ROW]
[ROW][C]19[/C][C]-0.23091[/C][C]-1.7886[/C][C]0.960638[/C][/ROW]
[ROW][C]20[/C][C]-0.122253[/C][C]-0.947[/C][C]0.826273[/C][/ROW]
[ROW][C]21[/C][C]0.096213[/C][C]0.7453[/C][C]0.229512[/C][/ROW]
[ROW][C]22[/C][C]-0.220458[/C][C]-1.7077[/C][C]0.953565[/C][/ROW]
[ROW][C]23[/C][C]0.030708[/C][C]0.2379[/C][C]0.4064[/C][/ROW]
[ROW][C]24[/C][C]0.223753[/C][C]1.7332[/C][C]0.0441[/C][/ROW]
[ROW][C]25[/C][C]-0.111447[/C][C]-0.8633[/C][C]0.804284[/C][/ROW]
[ROW][C]26[/C][C]0.02182[/C][C]0.169[/C][C]0.433175[/C][/ROW]
[ROW][C]27[/C][C]0.179064[/C][C]1.387[/C][C]0.085283[/C][/ROW]
[ROW][C]28[/C][C]-0.152275[/C][C]-1.1795[/C][C]0.878576[/C][/ROW]
[ROW][C]29[/C][C]0.010288[/C][C]0.0797[/C][C]0.468375[/C][/ROW]
[ROW][C]30[/C][C]0.114149[/C][C]0.8842[/C][C]0.190061[/C][/ROW]
[ROW][C]31[/C][C]-0.12441[/C][C]-0.9637[/C][C]0.830462[/C][/ROW]
[ROW][C]32[/C][C]-0.032825[/C][C]-0.2543[/C][C]0.599917[/C][/ROW]
[ROW][C]33[/C][C]-0.002695[/C][C]-0.0209[/C][C]0.508292[/C][/ROW]
[ROW][C]34[/C][C]-0.220596[/C][C]-1.7087[/C][C]0.953665[/C][/ROW]
[ROW][C]35[/C][C]-0.044557[/C][C]-0.3451[/C][C]0.6344[/C][/ROW]
[ROW][C]36[/C][C]0.072395[/C][C]0.5608[/C][C]0.288522[/C][/ROW]
[ROW][C]37[/C][C]-0.142863[/C][C]-1.1066[/C][C]0.863561[/C][/ROW]
[ROW][C]38[/C][C]-0.08791[/C][C]-0.681[/C][C]0.750739[/C][/ROW]
[ROW][C]39[/C][C]-0.05352[/C][C]-0.4146[/C][C]0.660031[/C][/ROW]
[ROW][C]40[/C][C]-0.223423[/C][C]-1.7306[/C][C]0.955671[/C][/ROW]
[ROW][C]41[/C][C]-0.127229[/C][C]-0.9855[/C][C]0.835835[/C][/ROW]
[ROW][C]42[/C][C]-0.084745[/C][C]-0.6564[/C][C]0.742973[/C][/ROW]
[ROW][C]43[/C][C]-0.157513[/C][C]-1.2201[/C][C]0.886397[/C][/ROW]
[ROW][C]44[/C][C]-0.09313[/C][C]-0.7214[/C][C]0.763261[/C][/ROW]
[ROW][C]45[/C][C]-0.093472[/C][C]-0.724[/C][C]0.76407[/C][/ROW]
[ROW][C]46[/C][C]-0.211554[/C][C]-1.6387[/C][C]0.946744[/C][/ROW]
[ROW][C]47[/C][C]-0.140057[/C][C]-1.0849[/C][C]0.858841[/C][/ROW]
[ROW][C]48[/C][C]-0.09188[/C][C]-0.7117[/C][C]0.760295[/C][/ROW]
[ROW][C]49[/C][C]-0.147354[/C][C]-1.1414[/C][C]0.87088[/C][/ROW]
[ROW][C]50[/C][C]-0.074938[/C][C]-0.5805[/C][C]0.718113[/C][/ROW]
[ROW][C]51[/C][C]-0.084506[/C][C]-0.6546[/C][C]0.742379[/C][/ROW]
[ROW][C]52[/C][C]-0.106935[/C][C]-0.8283[/C][C]0.794613[/C][/ROW]
[ROW][C]53[/C][C]-0.049765[/C][C]-0.3855[/C][C]0.649377[/C][/ROW]
[ROW][C]54[/C][C]-0.057709[/C][C]-0.447[/C][C]0.671763[/C][/ROW]
[ROW][C]55[/C][C]-0.058735[/C][C]-0.455[/C][C]0.674609[/C][/ROW]
[ROW][C]56[/C][C]-0.018866[/C][C]-0.1461[/C][C]0.557848[/C][/ROW]
[ROW][C]57[/C][C]-0.024994[/C][C]-0.1936[/C][C]0.576429[/C][/ROW]
[ROW][C]58[/C][C]-0.019099[/C][C]-0.1479[/C][C]0.558557[/C][/ROW]
[ROW][C]59[/C][C]-0.003005[/C][C]-0.0233[/C][C]0.509246[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7390&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7390&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Autocorrelation Function
Time lag kACF(k)T-STATP-value
017.7460
10.2271961.75990.041765
20.1069440.82840.205368
30.479343.7130.000225
4-0.040839-0.31630.623576
50.0666410.51620.303805
60.4719223.65550.000271
7-0.07566-0.58610.719983
8-0.033764-0.26150.602712
90.3407652.63960.005282
10-0.145989-1.13080.868685
110.0442360.34270.366529
120.5013573.88350.00013
13-0.034405-0.26650.604617
140.0342080.2650.395969
150.2444731.89370.031546
16-0.20864-1.61610.944343
17-0.021371-0.16550.565462
180.2108221.6330.053851
19-0.23091-1.78860.960638
20-0.122253-0.9470.826273
210.0962130.74530.229512
22-0.220458-1.70770.953565
230.0307080.23790.4064
240.2237531.73320.0441
25-0.111447-0.86330.804284
260.021820.1690.433175
270.1790641.3870.085283
28-0.152275-1.17950.878576
290.0102880.07970.468375
300.1141490.88420.190061
31-0.12441-0.96370.830462
32-0.032825-0.25430.599917
33-0.002695-0.02090.508292
34-0.220596-1.70870.953665
35-0.044557-0.34510.6344
360.0723950.56080.288522
37-0.142863-1.10660.863561
38-0.08791-0.6810.750739
39-0.05352-0.41460.660031
40-0.223423-1.73060.955671
41-0.127229-0.98550.835835
42-0.084745-0.65640.742973
43-0.157513-1.22010.886397
44-0.09313-0.72140.763261
45-0.093472-0.7240.76407
46-0.211554-1.63870.946744
47-0.140057-1.08490.858841
48-0.09188-0.71170.760295
49-0.147354-1.14140.87088
50-0.074938-0.58050.718113
51-0.084506-0.65460.742379
52-0.106935-0.82830.794613
53-0.049765-0.38550.649377
54-0.057709-0.4470.671763
55-0.058735-0.4550.674609
56-0.018866-0.14610.557848
57-0.024994-0.19360.576429
58-0.019099-0.14790.558557
59-0.003005-0.02330.509246







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.2271961.75990.041765
10.0583370.45190.326493
20.4689253.63230.000292
3-0.315091-2.44070.991186
40.1835711.42190.080111
50.2809792.17650.016734
6-0.218637-1.69360.952232
7-0.068951-0.53410.702373
80.1627891.2610.106102
9-0.104385-0.80860.78902
100.1157470.89660.186764
110.3167182.45330.008539
12-0.067833-0.52540.699391
13-0.104071-0.80610.788324
14-0.164529-1.27440.896289
150.024680.19120.424519
16-0.062505-0.48420.684983
17-0.120665-0.93470.823147
18-0.001807-0.0140.505562
19-0.08116-0.62870.734022
20-0.009399-0.07280.528898
210.129111.00010.160644
220.1266450.9810.165269
23-0.065465-0.50710.693026
240.0234590.18170.428211
25-0.021403-0.16580.565559
260.1451391.12420.132695
27-0.103576-0.80230.787226
28-0.03333-0.25820.601422
29-0.038563-0.29870.616901
300.1533941.18820.119721
31-0.073085-0.56610.713286
32-0.123811-0.9590.829305
33-0.081489-0.63120.734849
34-0.042546-0.32960.628559
350.0022040.01710.493219
36-0.076902-0.59570.723184
37-0.105421-0.81660.791302
38-0.169624-1.31390.903059
39-0.035537-0.27530.607973
40-0.033084-0.25630.600688
410.0045390.03520.486036
420.0699730.5420.294911
430.0163950.1270.449685
440.0066520.05150.47954
45-0.007795-0.06040.523974
460.0417630.32350.373723
47-0.140531-1.08850.859646
48-0.042703-0.33080.629017
490.0785480.60840.2726
500.0914290.70820.240779
510.0547630.42420.33647
520.0480520.37220.355525
53-0.086075-0.66670.746251
54-0.046457-0.35990.639889
550.005050.03910.484464
560.0369180.2860.387944
57-0.060059-0.46520.678269
58-0.089217-0.69110.753907
59NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.227196 & 1.7599 & 0.041765 \tabularnewline
1 & 0.058337 & 0.4519 & 0.326493 \tabularnewline
2 & 0.468925 & 3.6323 & 0.000292 \tabularnewline
3 & -0.315091 & -2.4407 & 0.991186 \tabularnewline
4 & 0.183571 & 1.4219 & 0.080111 \tabularnewline
5 & 0.280979 & 2.1765 & 0.016734 \tabularnewline
6 & -0.218637 & -1.6936 & 0.952232 \tabularnewline
7 & -0.068951 & -0.5341 & 0.702373 \tabularnewline
8 & 0.162789 & 1.261 & 0.106102 \tabularnewline
9 & -0.104385 & -0.8086 & 0.78902 \tabularnewline
10 & 0.115747 & 0.8966 & 0.186764 \tabularnewline
11 & 0.316718 & 2.4533 & 0.008539 \tabularnewline
12 & -0.067833 & -0.5254 & 0.699391 \tabularnewline
13 & -0.104071 & -0.8061 & 0.788324 \tabularnewline
14 & -0.164529 & -1.2744 & 0.896289 \tabularnewline
15 & 0.02468 & 0.1912 & 0.424519 \tabularnewline
16 & -0.062505 & -0.4842 & 0.684983 \tabularnewline
17 & -0.120665 & -0.9347 & 0.823147 \tabularnewline
18 & -0.001807 & -0.014 & 0.505562 \tabularnewline
19 & -0.08116 & -0.6287 & 0.734022 \tabularnewline
20 & -0.009399 & -0.0728 & 0.528898 \tabularnewline
21 & 0.12911 & 1.0001 & 0.160644 \tabularnewline
22 & 0.126645 & 0.981 & 0.165269 \tabularnewline
23 & -0.065465 & -0.5071 & 0.693026 \tabularnewline
24 & 0.023459 & 0.1817 & 0.428211 \tabularnewline
25 & -0.021403 & -0.1658 & 0.565559 \tabularnewline
26 & 0.145139 & 1.1242 & 0.132695 \tabularnewline
27 & -0.103576 & -0.8023 & 0.787226 \tabularnewline
28 & -0.03333 & -0.2582 & 0.601422 \tabularnewline
29 & -0.038563 & -0.2987 & 0.616901 \tabularnewline
30 & 0.153394 & 1.1882 & 0.119721 \tabularnewline
31 & -0.073085 & -0.5661 & 0.713286 \tabularnewline
32 & -0.123811 & -0.959 & 0.829305 \tabularnewline
33 & -0.081489 & -0.6312 & 0.734849 \tabularnewline
34 & -0.042546 & -0.3296 & 0.628559 \tabularnewline
35 & 0.002204 & 0.0171 & 0.493219 \tabularnewline
36 & -0.076902 & -0.5957 & 0.723184 \tabularnewline
37 & -0.105421 & -0.8166 & 0.791302 \tabularnewline
38 & -0.169624 & -1.3139 & 0.903059 \tabularnewline
39 & -0.035537 & -0.2753 & 0.607973 \tabularnewline
40 & -0.033084 & -0.2563 & 0.600688 \tabularnewline
41 & 0.004539 & 0.0352 & 0.486036 \tabularnewline
42 & 0.069973 & 0.542 & 0.294911 \tabularnewline
43 & 0.016395 & 0.127 & 0.449685 \tabularnewline
44 & 0.006652 & 0.0515 & 0.47954 \tabularnewline
45 & -0.007795 & -0.0604 & 0.523974 \tabularnewline
46 & 0.041763 & 0.3235 & 0.373723 \tabularnewline
47 & -0.140531 & -1.0885 & 0.859646 \tabularnewline
48 & -0.042703 & -0.3308 & 0.629017 \tabularnewline
49 & 0.078548 & 0.6084 & 0.2726 \tabularnewline
50 & 0.091429 & 0.7082 & 0.240779 \tabularnewline
51 & 0.054763 & 0.4242 & 0.33647 \tabularnewline
52 & 0.048052 & 0.3722 & 0.355525 \tabularnewline
53 & -0.086075 & -0.6667 & 0.746251 \tabularnewline
54 & -0.046457 & -0.3599 & 0.639889 \tabularnewline
55 & 0.00505 & 0.0391 & 0.484464 \tabularnewline
56 & 0.036918 & 0.286 & 0.387944 \tabularnewline
57 & -0.060059 & -0.4652 & 0.678269 \tabularnewline
58 & -0.089217 & -0.6911 & 0.753907 \tabularnewline
59 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7390&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]0.227196[/C][C]1.7599[/C][C]0.041765[/C][/ROW]
[ROW][C]1[/C][C]0.058337[/C][C]0.4519[/C][C]0.326493[/C][/ROW]
[ROW][C]2[/C][C]0.468925[/C][C]3.6323[/C][C]0.000292[/C][/ROW]
[ROW][C]3[/C][C]-0.315091[/C][C]-2.4407[/C][C]0.991186[/C][/ROW]
[ROW][C]4[/C][C]0.183571[/C][C]1.4219[/C][C]0.080111[/C][/ROW]
[ROW][C]5[/C][C]0.280979[/C][C]2.1765[/C][C]0.016734[/C][/ROW]
[ROW][C]6[/C][C]-0.218637[/C][C]-1.6936[/C][C]0.952232[/C][/ROW]
[ROW][C]7[/C][C]-0.068951[/C][C]-0.5341[/C][C]0.702373[/C][/ROW]
[ROW][C]8[/C][C]0.162789[/C][C]1.261[/C][C]0.106102[/C][/ROW]
[ROW][C]9[/C][C]-0.104385[/C][C]-0.8086[/C][C]0.78902[/C][/ROW]
[ROW][C]10[/C][C]0.115747[/C][C]0.8966[/C][C]0.186764[/C][/ROW]
[ROW][C]11[/C][C]0.316718[/C][C]2.4533[/C][C]0.008539[/C][/ROW]
[ROW][C]12[/C][C]-0.067833[/C][C]-0.5254[/C][C]0.699391[/C][/ROW]
[ROW][C]13[/C][C]-0.104071[/C][C]-0.8061[/C][C]0.788324[/C][/ROW]
[ROW][C]14[/C][C]-0.164529[/C][C]-1.2744[/C][C]0.896289[/C][/ROW]
[ROW][C]15[/C][C]0.02468[/C][C]0.1912[/C][C]0.424519[/C][/ROW]
[ROW][C]16[/C][C]-0.062505[/C][C]-0.4842[/C][C]0.684983[/C][/ROW]
[ROW][C]17[/C][C]-0.120665[/C][C]-0.9347[/C][C]0.823147[/C][/ROW]
[ROW][C]18[/C][C]-0.001807[/C][C]-0.014[/C][C]0.505562[/C][/ROW]
[ROW][C]19[/C][C]-0.08116[/C][C]-0.6287[/C][C]0.734022[/C][/ROW]
[ROW][C]20[/C][C]-0.009399[/C][C]-0.0728[/C][C]0.528898[/C][/ROW]
[ROW][C]21[/C][C]0.12911[/C][C]1.0001[/C][C]0.160644[/C][/ROW]
[ROW][C]22[/C][C]0.126645[/C][C]0.981[/C][C]0.165269[/C][/ROW]
[ROW][C]23[/C][C]-0.065465[/C][C]-0.5071[/C][C]0.693026[/C][/ROW]
[ROW][C]24[/C][C]0.023459[/C][C]0.1817[/C][C]0.428211[/C][/ROW]
[ROW][C]25[/C][C]-0.021403[/C][C]-0.1658[/C][C]0.565559[/C][/ROW]
[ROW][C]26[/C][C]0.145139[/C][C]1.1242[/C][C]0.132695[/C][/ROW]
[ROW][C]27[/C][C]-0.103576[/C][C]-0.8023[/C][C]0.787226[/C][/ROW]
[ROW][C]28[/C][C]-0.03333[/C][C]-0.2582[/C][C]0.601422[/C][/ROW]
[ROW][C]29[/C][C]-0.038563[/C][C]-0.2987[/C][C]0.616901[/C][/ROW]
[ROW][C]30[/C][C]0.153394[/C][C]1.1882[/C][C]0.119721[/C][/ROW]
[ROW][C]31[/C][C]-0.073085[/C][C]-0.5661[/C][C]0.713286[/C][/ROW]
[ROW][C]32[/C][C]-0.123811[/C][C]-0.959[/C][C]0.829305[/C][/ROW]
[ROW][C]33[/C][C]-0.081489[/C][C]-0.6312[/C][C]0.734849[/C][/ROW]
[ROW][C]34[/C][C]-0.042546[/C][C]-0.3296[/C][C]0.628559[/C][/ROW]
[ROW][C]35[/C][C]0.002204[/C][C]0.0171[/C][C]0.493219[/C][/ROW]
[ROW][C]36[/C][C]-0.076902[/C][C]-0.5957[/C][C]0.723184[/C][/ROW]
[ROW][C]37[/C][C]-0.105421[/C][C]-0.8166[/C][C]0.791302[/C][/ROW]
[ROW][C]38[/C][C]-0.169624[/C][C]-1.3139[/C][C]0.903059[/C][/ROW]
[ROW][C]39[/C][C]-0.035537[/C][C]-0.2753[/C][C]0.607973[/C][/ROW]
[ROW][C]40[/C][C]-0.033084[/C][C]-0.2563[/C][C]0.600688[/C][/ROW]
[ROW][C]41[/C][C]0.004539[/C][C]0.0352[/C][C]0.486036[/C][/ROW]
[ROW][C]42[/C][C]0.069973[/C][C]0.542[/C][C]0.294911[/C][/ROW]
[ROW][C]43[/C][C]0.016395[/C][C]0.127[/C][C]0.449685[/C][/ROW]
[ROW][C]44[/C][C]0.006652[/C][C]0.0515[/C][C]0.47954[/C][/ROW]
[ROW][C]45[/C][C]-0.007795[/C][C]-0.0604[/C][C]0.523974[/C][/ROW]
[ROW][C]46[/C][C]0.041763[/C][C]0.3235[/C][C]0.373723[/C][/ROW]
[ROW][C]47[/C][C]-0.140531[/C][C]-1.0885[/C][C]0.859646[/C][/ROW]
[ROW][C]48[/C][C]-0.042703[/C][C]-0.3308[/C][C]0.629017[/C][/ROW]
[ROW][C]49[/C][C]0.078548[/C][C]0.6084[/C][C]0.2726[/C][/ROW]
[ROW][C]50[/C][C]0.091429[/C][C]0.7082[/C][C]0.240779[/C][/ROW]
[ROW][C]51[/C][C]0.054763[/C][C]0.4242[/C][C]0.33647[/C][/ROW]
[ROW][C]52[/C][C]0.048052[/C][C]0.3722[/C][C]0.355525[/C][/ROW]
[ROW][C]53[/C][C]-0.086075[/C][C]-0.6667[/C][C]0.746251[/C][/ROW]
[ROW][C]54[/C][C]-0.046457[/C][C]-0.3599[/C][C]0.639889[/C][/ROW]
[ROW][C]55[/C][C]0.00505[/C][C]0.0391[/C][C]0.484464[/C][/ROW]
[ROW][C]56[/C][C]0.036918[/C][C]0.286[/C][C]0.387944[/C][/ROW]
[ROW][C]57[/C][C]-0.060059[/C][C]-0.4652[/C][C]0.678269[/C][/ROW]
[ROW][C]58[/C][C]-0.089217[/C][C]-0.6911[/C][C]0.753907[/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=7390&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7390&T=2

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.2271961.75990.041765
10.0583370.45190.326493
20.4689253.63230.000292
3-0.315091-2.44070.991186
40.1835711.42190.080111
50.2809792.17650.016734
6-0.218637-1.69360.952232
7-0.068951-0.53410.702373
80.1627891.2610.106102
9-0.104385-0.80860.78902
100.1157470.89660.186764
110.3167182.45330.008539
12-0.067833-0.52540.699391
13-0.104071-0.80610.788324
14-0.164529-1.27440.896289
150.024680.19120.424519
16-0.062505-0.48420.684983
17-0.120665-0.93470.823147
18-0.001807-0.0140.505562
19-0.08116-0.62870.734022
20-0.009399-0.07280.528898
210.129111.00010.160644
220.1266450.9810.165269
23-0.065465-0.50710.693026
240.0234590.18170.428211
25-0.021403-0.16580.565559
260.1451391.12420.132695
27-0.103576-0.80230.787226
28-0.03333-0.25820.601422
29-0.038563-0.29870.616901
300.1533941.18820.119721
31-0.073085-0.56610.713286
32-0.123811-0.9590.829305
33-0.081489-0.63120.734849
34-0.042546-0.32960.628559
350.0022040.01710.493219
36-0.076902-0.59570.723184
37-0.105421-0.81660.791302
38-0.169624-1.31390.903059
39-0.035537-0.27530.607973
40-0.033084-0.25630.600688
410.0045390.03520.486036
420.0699730.5420.294911
430.0163950.1270.449685
440.0066520.05150.47954
45-0.007795-0.06040.523974
460.0417630.32350.373723
47-0.140531-1.08850.859646
48-0.042703-0.33080.629017
490.0785480.60840.2726
500.0914290.70820.240779
510.0547630.42420.33647
520.0480520.37220.355525
53-0.086075-0.66670.746251
54-0.046457-0.35990.639889
550.005050.03910.484464
560.0369180.2860.387944
57-0.060059-0.46520.678269
58-0.089217-0.69110.753907
59NANANA



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 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')