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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, 13 Dec 2007 03:11:52 -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/2007/Dec/13/t1197539847saz9c0vrz3b74pl.htm/, Retrieved Sun, 05 May 2024 16:27:20 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=3384, Retrieved Sun, 05 May 2024 16:27:20 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact191
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [paper tijdreeks 4...] [2007-12-13 10:11:52] [be66efe1fb01584897056fbc96e4e155] [Current]
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Dataseries X:
98.6
98.0
106.8
96.6
100.1
107.7
91.5
97.8
107.4
117.5
105.6
97.4
99.5
98.0
104.3
100.6
101.1
103.9
96.9
95.5
108.4
117.0
103.8
100.8
110.6
104.0
112.6
107.3
98.9
109.8
104.9
102.2
123.9
124.9
112.7
121.9
100.6
104.3
120.4
107.5
102.9
125.6
107.5
108.8
128.4
121.1
119.5
128.7
108.7
105.5
119.8
111.3
110.6
120.1
97.5
107.7
127.3
117.2
119.8
116.2




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=3384&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=3384&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3384&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
10.3495722.70780.004406
20.1522491.17930.121464
30.4624043.58180.000342
40.0758020.58720.27965
50.1826581.41490.081139
60.4875363.77640.000184
70.0745190.57720.282974
80.1250150.96840.168376
90.34042.63670.005321
100.0332350.25740.398861
110.292722.26740.01349
120.5860274.53931.4e-05
130.1341.0380.151728
140.1129640.8750.192526
150.2005751.55360.062764
16-0.093721-0.7260.764657
170.0642690.49780.310213
180.1493221.15660.126001
19-0.117045-0.90660.815885
20-0.046254-0.35830.639304
21-0.01333-0.10330.540948
22-0.164819-1.27670.896683
230.0545820.42280.33698
240.1527161.18290.120751
25-0.046416-0.35950.639771
26-0.067842-0.52550.699414
27-0.12683-0.98240.835081
28-0.263166-2.03850.977042
29-0.170912-1.32390.904718
30-0.116341-0.90120.81445
31-0.210528-1.63070.945908
32-0.17431-1.35020.908989
33-0.172062-1.33280.906179
34-0.228223-1.76780.958911
35-0.123199-0.95430.828119
36-0.001634-0.01270.505029
37-0.126459-0.97950.834378
38-0.181516-1.4060.917562
39-0.142871-1.10670.863574
40-0.239789-1.85740.965918
41-0.208492-1.6150.944218
42-0.099801-0.77310.778737
43-0.162158-1.25610.893021
44-0.192769-1.49320.929685
45-0.162984-1.26250.894167
46-0.161309-1.24950.891832
47-0.089768-0.69530.755238

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 7.746 & 0 \tabularnewline
1 & 0.349572 & 2.7078 & 0.004406 \tabularnewline
2 & 0.152249 & 1.1793 & 0.121464 \tabularnewline
3 & 0.462404 & 3.5818 & 0.000342 \tabularnewline
4 & 0.075802 & 0.5872 & 0.27965 \tabularnewline
5 & 0.182658 & 1.4149 & 0.081139 \tabularnewline
6 & 0.487536 & 3.7764 & 0.000184 \tabularnewline
7 & 0.074519 & 0.5772 & 0.282974 \tabularnewline
8 & 0.125015 & 0.9684 & 0.168376 \tabularnewline
9 & 0.3404 & 2.6367 & 0.005321 \tabularnewline
10 & 0.033235 & 0.2574 & 0.398861 \tabularnewline
11 & 0.29272 & 2.2674 & 0.01349 \tabularnewline
12 & 0.586027 & 4.5393 & 1.4e-05 \tabularnewline
13 & 0.134 & 1.038 & 0.151728 \tabularnewline
14 & 0.112964 & 0.875 & 0.192526 \tabularnewline
15 & 0.200575 & 1.5536 & 0.062764 \tabularnewline
16 & -0.093721 & -0.726 & 0.764657 \tabularnewline
17 & 0.064269 & 0.4978 & 0.310213 \tabularnewline
18 & 0.149322 & 1.1566 & 0.126001 \tabularnewline
19 & -0.117045 & -0.9066 & 0.815885 \tabularnewline
20 & -0.046254 & -0.3583 & 0.639304 \tabularnewline
21 & -0.01333 & -0.1033 & 0.540948 \tabularnewline
22 & -0.164819 & -1.2767 & 0.896683 \tabularnewline
23 & 0.054582 & 0.4228 & 0.33698 \tabularnewline
24 & 0.152716 & 1.1829 & 0.120751 \tabularnewline
25 & -0.046416 & -0.3595 & 0.639771 \tabularnewline
26 & -0.067842 & -0.5255 & 0.699414 \tabularnewline
27 & -0.12683 & -0.9824 & 0.835081 \tabularnewline
28 & -0.263166 & -2.0385 & 0.977042 \tabularnewline
29 & -0.170912 & -1.3239 & 0.904718 \tabularnewline
30 & -0.116341 & -0.9012 & 0.81445 \tabularnewline
31 & -0.210528 & -1.6307 & 0.945908 \tabularnewline
32 & -0.17431 & -1.3502 & 0.908989 \tabularnewline
33 & -0.172062 & -1.3328 & 0.906179 \tabularnewline
34 & -0.228223 & -1.7678 & 0.958911 \tabularnewline
35 & -0.123199 & -0.9543 & 0.828119 \tabularnewline
36 & -0.001634 & -0.0127 & 0.505029 \tabularnewline
37 & -0.126459 & -0.9795 & 0.834378 \tabularnewline
38 & -0.181516 & -1.406 & 0.917562 \tabularnewline
39 & -0.142871 & -1.1067 & 0.863574 \tabularnewline
40 & -0.239789 & -1.8574 & 0.965918 \tabularnewline
41 & -0.208492 & -1.615 & 0.944218 \tabularnewline
42 & -0.099801 & -0.7731 & 0.778737 \tabularnewline
43 & -0.162158 & -1.2561 & 0.893021 \tabularnewline
44 & -0.192769 & -1.4932 & 0.929685 \tabularnewline
45 & -0.162984 & -1.2625 & 0.894167 \tabularnewline
46 & -0.161309 & -1.2495 & 0.891832 \tabularnewline
47 & -0.089768 & -0.6953 & 0.755238 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3384&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]0.349572[/C][C]2.7078[/C][C]0.004406[/C][/ROW]
[ROW][C]2[/C][C]0.152249[/C][C]1.1793[/C][C]0.121464[/C][/ROW]
[ROW][C]3[/C][C]0.462404[/C][C]3.5818[/C][C]0.000342[/C][/ROW]
[ROW][C]4[/C][C]0.075802[/C][C]0.5872[/C][C]0.27965[/C][/ROW]
[ROW][C]5[/C][C]0.182658[/C][C]1.4149[/C][C]0.081139[/C][/ROW]
[ROW][C]6[/C][C]0.487536[/C][C]3.7764[/C][C]0.000184[/C][/ROW]
[ROW][C]7[/C][C]0.074519[/C][C]0.5772[/C][C]0.282974[/C][/ROW]
[ROW][C]8[/C][C]0.125015[/C][C]0.9684[/C][C]0.168376[/C][/ROW]
[ROW][C]9[/C][C]0.3404[/C][C]2.6367[/C][C]0.005321[/C][/ROW]
[ROW][C]10[/C][C]0.033235[/C][C]0.2574[/C][C]0.398861[/C][/ROW]
[ROW][C]11[/C][C]0.29272[/C][C]2.2674[/C][C]0.01349[/C][/ROW]
[ROW][C]12[/C][C]0.586027[/C][C]4.5393[/C][C]1.4e-05[/C][/ROW]
[ROW][C]13[/C][C]0.134[/C][C]1.038[/C][C]0.151728[/C][/ROW]
[ROW][C]14[/C][C]0.112964[/C][C]0.875[/C][C]0.192526[/C][/ROW]
[ROW][C]15[/C][C]0.200575[/C][C]1.5536[/C][C]0.062764[/C][/ROW]
[ROW][C]16[/C][C]-0.093721[/C][C]-0.726[/C][C]0.764657[/C][/ROW]
[ROW][C]17[/C][C]0.064269[/C][C]0.4978[/C][C]0.310213[/C][/ROW]
[ROW][C]18[/C][C]0.149322[/C][C]1.1566[/C][C]0.126001[/C][/ROW]
[ROW][C]19[/C][C]-0.117045[/C][C]-0.9066[/C][C]0.815885[/C][/ROW]
[ROW][C]20[/C][C]-0.046254[/C][C]-0.3583[/C][C]0.639304[/C][/ROW]
[ROW][C]21[/C][C]-0.01333[/C][C]-0.1033[/C][C]0.540948[/C][/ROW]
[ROW][C]22[/C][C]-0.164819[/C][C]-1.2767[/C][C]0.896683[/C][/ROW]
[ROW][C]23[/C][C]0.054582[/C][C]0.4228[/C][C]0.33698[/C][/ROW]
[ROW][C]24[/C][C]0.152716[/C][C]1.1829[/C][C]0.120751[/C][/ROW]
[ROW][C]25[/C][C]-0.046416[/C][C]-0.3595[/C][C]0.639771[/C][/ROW]
[ROW][C]26[/C][C]-0.067842[/C][C]-0.5255[/C][C]0.699414[/C][/ROW]
[ROW][C]27[/C][C]-0.12683[/C][C]-0.9824[/C][C]0.835081[/C][/ROW]
[ROW][C]28[/C][C]-0.263166[/C][C]-2.0385[/C][C]0.977042[/C][/ROW]
[ROW][C]29[/C][C]-0.170912[/C][C]-1.3239[/C][C]0.904718[/C][/ROW]
[ROW][C]30[/C][C]-0.116341[/C][C]-0.9012[/C][C]0.81445[/C][/ROW]
[ROW][C]31[/C][C]-0.210528[/C][C]-1.6307[/C][C]0.945908[/C][/ROW]
[ROW][C]32[/C][C]-0.17431[/C][C]-1.3502[/C][C]0.908989[/C][/ROW]
[ROW][C]33[/C][C]-0.172062[/C][C]-1.3328[/C][C]0.906179[/C][/ROW]
[ROW][C]34[/C][C]-0.228223[/C][C]-1.7678[/C][C]0.958911[/C][/ROW]
[ROW][C]35[/C][C]-0.123199[/C][C]-0.9543[/C][C]0.828119[/C][/ROW]
[ROW][C]36[/C][C]-0.001634[/C][C]-0.0127[/C][C]0.505029[/C][/ROW]
[ROW][C]37[/C][C]-0.126459[/C][C]-0.9795[/C][C]0.834378[/C][/ROW]
[ROW][C]38[/C][C]-0.181516[/C][C]-1.406[/C][C]0.917562[/C][/ROW]
[ROW][C]39[/C][C]-0.142871[/C][C]-1.1067[/C][C]0.863574[/C][/ROW]
[ROW][C]40[/C][C]-0.239789[/C][C]-1.8574[/C][C]0.965918[/C][/ROW]
[ROW][C]41[/C][C]-0.208492[/C][C]-1.615[/C][C]0.944218[/C][/ROW]
[ROW][C]42[/C][C]-0.099801[/C][C]-0.7731[/C][C]0.778737[/C][/ROW]
[ROW][C]43[/C][C]-0.162158[/C][C]-1.2561[/C][C]0.893021[/C][/ROW]
[ROW][C]44[/C][C]-0.192769[/C][C]-1.4932[/C][C]0.929685[/C][/ROW]
[ROW][C]45[/C][C]-0.162984[/C][C]-1.2625[/C][C]0.894167[/C][/ROW]
[ROW][C]46[/C][C]-0.161309[/C][C]-1.2495[/C][C]0.891832[/C][/ROW]
[ROW][C]47[/C][C]-0.089768[/C][C]-0.6953[/C][C]0.755238[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3384&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3384&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
10.3495722.70780.004406
20.1522491.17930.121464
30.4624043.58180.000342
40.0758020.58720.27965
50.1826581.41490.081139
60.4875363.77640.000184
70.0745190.57720.282974
80.1250150.96840.168376
90.34042.63670.005321
100.0332350.25740.398861
110.292722.26740.01349
120.5860274.53931.4e-05
130.1341.0380.151728
140.1129640.8750.192526
150.2005751.55360.062764
16-0.093721-0.7260.764657
170.0642690.49780.310213
180.1493221.15660.126001
19-0.117045-0.90660.815885
20-0.046254-0.35830.639304
21-0.01333-0.10330.540948
22-0.164819-1.27670.896683
230.0545820.42280.33698
240.1527161.18290.120751
25-0.046416-0.35950.639771
26-0.067842-0.52550.699414
27-0.12683-0.98240.835081
28-0.263166-2.03850.977042
29-0.170912-1.32390.904718
30-0.116341-0.90120.81445
31-0.210528-1.63070.945908
32-0.17431-1.35020.908989
33-0.172062-1.33280.906179
34-0.228223-1.76780.958911
35-0.123199-0.95430.828119
36-0.001634-0.01270.505029
37-0.126459-0.97950.834378
38-0.181516-1.4060.917562
39-0.142871-1.10670.863574
40-0.239789-1.85740.965918
41-0.208492-1.6150.944218
42-0.099801-0.77310.778737
43-0.162158-1.25610.893021
44-0.192769-1.49320.929685
45-0.162984-1.26250.894167
46-0.161309-1.24950.891832
47-0.089768-0.69530.755238







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.3495722.70780.004406
10.0342310.26520.3959
20.4551223.52540.000408
3-0.307873-2.38480.989867
40.3862982.99230.002008
50.1200830.93020.178008
6-0.106135-0.82210.792867
70.0727640.56360.287555
80.0269440.20870.417692
90.0149740.1160.454025
100.3028482.34590.011153
110.2823642.18720.016319
12-0.123195-0.95430.82811
13-0.163565-1.2670.894968
14-0.200983-1.55680.937612
15-0.060435-0.46810.679305
16-0.155874-1.20740.883991
17-0.160931-1.24660.891299
18-0.003001-0.02320.509234
19-0.174999-1.35550.909836
20-0.060343-0.46740.679052
21-0.074778-0.57920.717697
22-0.019829-0.15360.560779
23-0.003138-0.02430.509656
240.0831480.64410.260995
25-0.06655-0.51550.695949
26-0.044536-0.3450.634339
27-0.100807-0.78080.781018
28-0.060462-0.46830.67938
290.0789490.61150.271576
300.020010.1550.438673
310.1510871.17030.123252
320.0579270.44870.327632
330.0366910.28420.388614
34-0.040849-0.31640.623607
350.1102220.85380.198311
36-0.145173-1.12450.867361
370.0284730.22060.413095
380.0581650.45050.32697
390.0381410.29540.384339
400.0234450.18160.428253
41-0.060222-0.46650.678717
420.067520.5230.301448
43-0.181936-1.40930.918041
44-0.111739-0.86550.804901
450.0492960.38180.351963
46-0.047931-0.37130.644128
47-0.039447-0.30560.619498

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.349572 & 2.7078 & 0.004406 \tabularnewline
1 & 0.034231 & 0.2652 & 0.3959 \tabularnewline
2 & 0.455122 & 3.5254 & 0.000408 \tabularnewline
3 & -0.307873 & -2.3848 & 0.989867 \tabularnewline
4 & 0.386298 & 2.9923 & 0.002008 \tabularnewline
5 & 0.120083 & 0.9302 & 0.178008 \tabularnewline
6 & -0.106135 & -0.8221 & 0.792867 \tabularnewline
7 & 0.072764 & 0.5636 & 0.287555 \tabularnewline
8 & 0.026944 & 0.2087 & 0.417692 \tabularnewline
9 & 0.014974 & 0.116 & 0.454025 \tabularnewline
10 & 0.302848 & 2.3459 & 0.011153 \tabularnewline
11 & 0.282364 & 2.1872 & 0.016319 \tabularnewline
12 & -0.123195 & -0.9543 & 0.82811 \tabularnewline
13 & -0.163565 & -1.267 & 0.894968 \tabularnewline
14 & -0.200983 & -1.5568 & 0.937612 \tabularnewline
15 & -0.060435 & -0.4681 & 0.679305 \tabularnewline
16 & -0.155874 & -1.2074 & 0.883991 \tabularnewline
17 & -0.160931 & -1.2466 & 0.891299 \tabularnewline
18 & -0.003001 & -0.0232 & 0.509234 \tabularnewline
19 & -0.174999 & -1.3555 & 0.909836 \tabularnewline
20 & -0.060343 & -0.4674 & 0.679052 \tabularnewline
21 & -0.074778 & -0.5792 & 0.717697 \tabularnewline
22 & -0.019829 & -0.1536 & 0.560779 \tabularnewline
23 & -0.003138 & -0.0243 & 0.509656 \tabularnewline
24 & 0.083148 & 0.6441 & 0.260995 \tabularnewline
25 & -0.06655 & -0.5155 & 0.695949 \tabularnewline
26 & -0.044536 & -0.345 & 0.634339 \tabularnewline
27 & -0.100807 & -0.7808 & 0.781018 \tabularnewline
28 & -0.060462 & -0.4683 & 0.67938 \tabularnewline
29 & 0.078949 & 0.6115 & 0.271576 \tabularnewline
30 & 0.02001 & 0.155 & 0.438673 \tabularnewline
31 & 0.151087 & 1.1703 & 0.123252 \tabularnewline
32 & 0.057927 & 0.4487 & 0.327632 \tabularnewline
33 & 0.036691 & 0.2842 & 0.388614 \tabularnewline
34 & -0.040849 & -0.3164 & 0.623607 \tabularnewline
35 & 0.110222 & 0.8538 & 0.198311 \tabularnewline
36 & -0.145173 & -1.1245 & 0.867361 \tabularnewline
37 & 0.028473 & 0.2206 & 0.413095 \tabularnewline
38 & 0.058165 & 0.4505 & 0.32697 \tabularnewline
39 & 0.038141 & 0.2954 & 0.384339 \tabularnewline
40 & 0.023445 & 0.1816 & 0.428253 \tabularnewline
41 & -0.060222 & -0.4665 & 0.678717 \tabularnewline
42 & 0.06752 & 0.523 & 0.301448 \tabularnewline
43 & -0.181936 & -1.4093 & 0.918041 \tabularnewline
44 & -0.111739 & -0.8655 & 0.804901 \tabularnewline
45 & 0.049296 & 0.3818 & 0.351963 \tabularnewline
46 & -0.047931 & -0.3713 & 0.644128 \tabularnewline
47 & -0.039447 & -0.3056 & 0.619498 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3384&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]0.349572[/C][C]2.7078[/C][C]0.004406[/C][/ROW]
[ROW][C]1[/C][C]0.034231[/C][C]0.2652[/C][C]0.3959[/C][/ROW]
[ROW][C]2[/C][C]0.455122[/C][C]3.5254[/C][C]0.000408[/C][/ROW]
[ROW][C]3[/C][C]-0.307873[/C][C]-2.3848[/C][C]0.989867[/C][/ROW]
[ROW][C]4[/C][C]0.386298[/C][C]2.9923[/C][C]0.002008[/C][/ROW]
[ROW][C]5[/C][C]0.120083[/C][C]0.9302[/C][C]0.178008[/C][/ROW]
[ROW][C]6[/C][C]-0.106135[/C][C]-0.8221[/C][C]0.792867[/C][/ROW]
[ROW][C]7[/C][C]0.072764[/C][C]0.5636[/C][C]0.287555[/C][/ROW]
[ROW][C]8[/C][C]0.026944[/C][C]0.2087[/C][C]0.417692[/C][/ROW]
[ROW][C]9[/C][C]0.014974[/C][C]0.116[/C][C]0.454025[/C][/ROW]
[ROW][C]10[/C][C]0.302848[/C][C]2.3459[/C][C]0.011153[/C][/ROW]
[ROW][C]11[/C][C]0.282364[/C][C]2.1872[/C][C]0.016319[/C][/ROW]
[ROW][C]12[/C][C]-0.123195[/C][C]-0.9543[/C][C]0.82811[/C][/ROW]
[ROW][C]13[/C][C]-0.163565[/C][C]-1.267[/C][C]0.894968[/C][/ROW]
[ROW][C]14[/C][C]-0.200983[/C][C]-1.5568[/C][C]0.937612[/C][/ROW]
[ROW][C]15[/C][C]-0.060435[/C][C]-0.4681[/C][C]0.679305[/C][/ROW]
[ROW][C]16[/C][C]-0.155874[/C][C]-1.2074[/C][C]0.883991[/C][/ROW]
[ROW][C]17[/C][C]-0.160931[/C][C]-1.2466[/C][C]0.891299[/C][/ROW]
[ROW][C]18[/C][C]-0.003001[/C][C]-0.0232[/C][C]0.509234[/C][/ROW]
[ROW][C]19[/C][C]-0.174999[/C][C]-1.3555[/C][C]0.909836[/C][/ROW]
[ROW][C]20[/C][C]-0.060343[/C][C]-0.4674[/C][C]0.679052[/C][/ROW]
[ROW][C]21[/C][C]-0.074778[/C][C]-0.5792[/C][C]0.717697[/C][/ROW]
[ROW][C]22[/C][C]-0.019829[/C][C]-0.1536[/C][C]0.560779[/C][/ROW]
[ROW][C]23[/C][C]-0.003138[/C][C]-0.0243[/C][C]0.509656[/C][/ROW]
[ROW][C]24[/C][C]0.083148[/C][C]0.6441[/C][C]0.260995[/C][/ROW]
[ROW][C]25[/C][C]-0.06655[/C][C]-0.5155[/C][C]0.695949[/C][/ROW]
[ROW][C]26[/C][C]-0.044536[/C][C]-0.345[/C][C]0.634339[/C][/ROW]
[ROW][C]27[/C][C]-0.100807[/C][C]-0.7808[/C][C]0.781018[/C][/ROW]
[ROW][C]28[/C][C]-0.060462[/C][C]-0.4683[/C][C]0.67938[/C][/ROW]
[ROW][C]29[/C][C]0.078949[/C][C]0.6115[/C][C]0.271576[/C][/ROW]
[ROW][C]30[/C][C]0.02001[/C][C]0.155[/C][C]0.438673[/C][/ROW]
[ROW][C]31[/C][C]0.151087[/C][C]1.1703[/C][C]0.123252[/C][/ROW]
[ROW][C]32[/C][C]0.057927[/C][C]0.4487[/C][C]0.327632[/C][/ROW]
[ROW][C]33[/C][C]0.036691[/C][C]0.2842[/C][C]0.388614[/C][/ROW]
[ROW][C]34[/C][C]-0.040849[/C][C]-0.3164[/C][C]0.623607[/C][/ROW]
[ROW][C]35[/C][C]0.110222[/C][C]0.8538[/C][C]0.198311[/C][/ROW]
[ROW][C]36[/C][C]-0.145173[/C][C]-1.1245[/C][C]0.867361[/C][/ROW]
[ROW][C]37[/C][C]0.028473[/C][C]0.2206[/C][C]0.413095[/C][/ROW]
[ROW][C]38[/C][C]0.058165[/C][C]0.4505[/C][C]0.32697[/C][/ROW]
[ROW][C]39[/C][C]0.038141[/C][C]0.2954[/C][C]0.384339[/C][/ROW]
[ROW][C]40[/C][C]0.023445[/C][C]0.1816[/C][C]0.428253[/C][/ROW]
[ROW][C]41[/C][C]-0.060222[/C][C]-0.4665[/C][C]0.678717[/C][/ROW]
[ROW][C]42[/C][C]0.06752[/C][C]0.523[/C][C]0.301448[/C][/ROW]
[ROW][C]43[/C][C]-0.181936[/C][C]-1.4093[/C][C]0.918041[/C][/ROW]
[ROW][C]44[/C][C]-0.111739[/C][C]-0.8655[/C][C]0.804901[/C][/ROW]
[ROW][C]45[/C][C]0.049296[/C][C]0.3818[/C][C]0.351963[/C][/ROW]
[ROW][C]46[/C][C]-0.047931[/C][C]-0.3713[/C][C]0.644128[/C][/ROW]
[ROW][C]47[/C][C]-0.039447[/C][C]-0.3056[/C][C]0.619498[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3384&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3384&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
00.3495722.70780.004406
10.0342310.26520.3959
20.4551223.52540.000408
3-0.307873-2.38480.989867
40.3862982.99230.002008
50.1200830.93020.178008
6-0.106135-0.82210.792867
70.0727640.56360.287555
80.0269440.20870.417692
90.0149740.1160.454025
100.3028482.34590.011153
110.2823642.18720.016319
12-0.123195-0.95430.82811
13-0.163565-1.2670.894968
14-0.200983-1.55680.937612
15-0.060435-0.46810.679305
16-0.155874-1.20740.883991
17-0.160931-1.24660.891299
18-0.003001-0.02320.509234
19-0.174999-1.35550.909836
20-0.060343-0.46740.679052
21-0.074778-0.57920.717697
22-0.019829-0.15360.560779
23-0.003138-0.02430.509656
240.0831480.64410.260995
25-0.06655-0.51550.695949
26-0.044536-0.3450.634339
27-0.100807-0.78080.781018
28-0.060462-0.46830.67938
290.0789490.61150.271576
300.020010.1550.438673
310.1510871.17030.123252
320.0579270.44870.327632
330.0366910.28420.388614
34-0.040849-0.31640.623607
350.1102220.85380.198311
36-0.145173-1.12450.867361
370.0284730.22060.413095
380.0581650.45050.32697
390.0381410.29540.384339
400.0234450.18160.428253
41-0.060222-0.46650.678717
420.067520.5230.301448
43-0.181936-1.40930.918041
44-0.111739-0.86550.804901
450.0492960.38180.351963
46-0.047931-0.37130.644128
47-0.039447-0.30560.619498



Parameters (Session):
par1 = 1 ; par2 = 1 ; par3 = 1 ; par4 = 12 ;
Parameters (R input):
par1 = 48 ; 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')