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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 computationSun, 21 Dec 2008 04:17:43 -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/21/t1229858308syd7cq2r898gkyb.htm/, Retrieved Fri, 17 May 2024 05:14:38 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=35500, Retrieved Fri, 17 May 2024 05:14:38 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact173
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [Werkloosheid - Jo...] [2008-12-14 16:04:23] [44ec60eb6065a3f81a5f756bd5af1faf]
- RMPD    [(Partial) Autocorrelation Function] [Werkloosheid - Jo...] [2008-12-21 11:17:43] [924502d03698cd41cacbcd1327858815] [Current]
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Dataseries X:
21.1
21
20.4
19.5
18.6
18.8
23.7
24.8
25
23.6
22.3
21.8
20.8
19.7
18.3
17.4
17
18.1
23.9
25.6
25.3
23.6
21.9
21.4
20.6
20.5
20.2
20.6
19.7
19.3
22.8
23.5
23.8
22.6
22
21.7
20.7
20.2
19.1
19.5
18.7
18.6
22.2
23.2
23.5
21.3
20
18.7
18.9
18.3
18.4
19.9
19.2
18.5
20.9
20.5
19.4
18.1
17
17




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=35500&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=35500&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35500&T=0

As an alternative you can also use a QR Code:  

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

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







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.814625.64390
20.4459433.08960.001665
30.0448110.31050.378778
4-0.194963-1.35070.091556
5-0.195951-1.35760.090471
6-0.014776-0.10240.459445
70.2215081.53470.065717
80.3578622.47930.008363
90.3484922.41440.009811
100.1687321.1690.124086
11-0.046458-0.32190.374474
12-0.205021-1.42040.080974
13-0.221362-1.53360.065842
14-0.096575-0.66910.253321
150.0706060.48920.313474
160.1771951.22760.112784
170.1355690.93920.176153
18-0.023638-0.16380.435301
19-0.204731-1.41840.081265
20-0.320377-2.21960.015601
21-0.313969-2.17520.017284
22-0.193129-1.3380.093595
23-0.012507-0.08670.465655
240.1223730.84780.200372
250.1550831.07440.143998
260.0460860.31930.375445
27-0.135155-0.93640.176882
28-0.301674-2.09010.020967
29-0.374887-2.59730.006219
30-0.327848-2.27140.013823
31-0.200731-1.39070.085364
32-0.065826-0.45610.325203
330.0025520.01770.492984
34-0.005974-0.04140.483577
35-0.06668-0.4620.323094
36-0.125764-0.87130.193959
37-0.16197-1.12220.133689
38-0.129871-0.89980.186366
39-0.055134-0.3820.352082
400.0312810.21670.414672
410.095230.65980.256276
420.113270.78480.218226
430.0883550.61210.271667
440.0466840.32340.373886
450.0169150.11720.4536
46-0.003964-0.02750.489101
47-0.004232-0.02930.488365
48NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.81462 & 5.6439 & 0 \tabularnewline
2 & 0.445943 & 3.0896 & 0.001665 \tabularnewline
3 & 0.044811 & 0.3105 & 0.378778 \tabularnewline
4 & -0.194963 & -1.3507 & 0.091556 \tabularnewline
5 & -0.195951 & -1.3576 & 0.090471 \tabularnewline
6 & -0.014776 & -0.1024 & 0.459445 \tabularnewline
7 & 0.221508 & 1.5347 & 0.065717 \tabularnewline
8 & 0.357862 & 2.4793 & 0.008363 \tabularnewline
9 & 0.348492 & 2.4144 & 0.009811 \tabularnewline
10 & 0.168732 & 1.169 & 0.124086 \tabularnewline
11 & -0.046458 & -0.3219 & 0.374474 \tabularnewline
12 & -0.205021 & -1.4204 & 0.080974 \tabularnewline
13 & -0.221362 & -1.5336 & 0.065842 \tabularnewline
14 & -0.096575 & -0.6691 & 0.253321 \tabularnewline
15 & 0.070606 & 0.4892 & 0.313474 \tabularnewline
16 & 0.177195 & 1.2276 & 0.112784 \tabularnewline
17 & 0.135569 & 0.9392 & 0.176153 \tabularnewline
18 & -0.023638 & -0.1638 & 0.435301 \tabularnewline
19 & -0.204731 & -1.4184 & 0.081265 \tabularnewline
20 & -0.320377 & -2.2196 & 0.015601 \tabularnewline
21 & -0.313969 & -2.1752 & 0.017284 \tabularnewline
22 & -0.193129 & -1.338 & 0.093595 \tabularnewline
23 & -0.012507 & -0.0867 & 0.465655 \tabularnewline
24 & 0.122373 & 0.8478 & 0.200372 \tabularnewline
25 & 0.155083 & 1.0744 & 0.143998 \tabularnewline
26 & 0.046086 & 0.3193 & 0.375445 \tabularnewline
27 & -0.135155 & -0.9364 & 0.176882 \tabularnewline
28 & -0.301674 & -2.0901 & 0.020967 \tabularnewline
29 & -0.374887 & -2.5973 & 0.006219 \tabularnewline
30 & -0.327848 & -2.2714 & 0.013823 \tabularnewline
31 & -0.200731 & -1.3907 & 0.085364 \tabularnewline
32 & -0.065826 & -0.4561 & 0.325203 \tabularnewline
33 & 0.002552 & 0.0177 & 0.492984 \tabularnewline
34 & -0.005974 & -0.0414 & 0.483577 \tabularnewline
35 & -0.06668 & -0.462 & 0.323094 \tabularnewline
36 & -0.125764 & -0.8713 & 0.193959 \tabularnewline
37 & -0.16197 & -1.1222 & 0.133689 \tabularnewline
38 & -0.129871 & -0.8998 & 0.186366 \tabularnewline
39 & -0.055134 & -0.382 & 0.352082 \tabularnewline
40 & 0.031281 & 0.2167 & 0.414672 \tabularnewline
41 & 0.09523 & 0.6598 & 0.256276 \tabularnewline
42 & 0.11327 & 0.7848 & 0.218226 \tabularnewline
43 & 0.088355 & 0.6121 & 0.271667 \tabularnewline
44 & 0.046684 & 0.3234 & 0.373886 \tabularnewline
45 & 0.016915 & 0.1172 & 0.4536 \tabularnewline
46 & -0.003964 & -0.0275 & 0.489101 \tabularnewline
47 & -0.004232 & -0.0293 & 0.488365 \tabularnewline
48 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35500&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]0.81462[/C][C]5.6439[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.445943[/C][C]3.0896[/C][C]0.001665[/C][/ROW]
[ROW][C]3[/C][C]0.044811[/C][C]0.3105[/C][C]0.378778[/C][/ROW]
[ROW][C]4[/C][C]-0.194963[/C][C]-1.3507[/C][C]0.091556[/C][/ROW]
[ROW][C]5[/C][C]-0.195951[/C][C]-1.3576[/C][C]0.090471[/C][/ROW]
[ROW][C]6[/C][C]-0.014776[/C][C]-0.1024[/C][C]0.459445[/C][/ROW]
[ROW][C]7[/C][C]0.221508[/C][C]1.5347[/C][C]0.065717[/C][/ROW]
[ROW][C]8[/C][C]0.357862[/C][C]2.4793[/C][C]0.008363[/C][/ROW]
[ROW][C]9[/C][C]0.348492[/C][C]2.4144[/C][C]0.009811[/C][/ROW]
[ROW][C]10[/C][C]0.168732[/C][C]1.169[/C][C]0.124086[/C][/ROW]
[ROW][C]11[/C][C]-0.046458[/C][C]-0.3219[/C][C]0.374474[/C][/ROW]
[ROW][C]12[/C][C]-0.205021[/C][C]-1.4204[/C][C]0.080974[/C][/ROW]
[ROW][C]13[/C][C]-0.221362[/C][C]-1.5336[/C][C]0.065842[/C][/ROW]
[ROW][C]14[/C][C]-0.096575[/C][C]-0.6691[/C][C]0.253321[/C][/ROW]
[ROW][C]15[/C][C]0.070606[/C][C]0.4892[/C][C]0.313474[/C][/ROW]
[ROW][C]16[/C][C]0.177195[/C][C]1.2276[/C][C]0.112784[/C][/ROW]
[ROW][C]17[/C][C]0.135569[/C][C]0.9392[/C][C]0.176153[/C][/ROW]
[ROW][C]18[/C][C]-0.023638[/C][C]-0.1638[/C][C]0.435301[/C][/ROW]
[ROW][C]19[/C][C]-0.204731[/C][C]-1.4184[/C][C]0.081265[/C][/ROW]
[ROW][C]20[/C][C]-0.320377[/C][C]-2.2196[/C][C]0.015601[/C][/ROW]
[ROW][C]21[/C][C]-0.313969[/C][C]-2.1752[/C][C]0.017284[/C][/ROW]
[ROW][C]22[/C][C]-0.193129[/C][C]-1.338[/C][C]0.093595[/C][/ROW]
[ROW][C]23[/C][C]-0.012507[/C][C]-0.0867[/C][C]0.465655[/C][/ROW]
[ROW][C]24[/C][C]0.122373[/C][C]0.8478[/C][C]0.200372[/C][/ROW]
[ROW][C]25[/C][C]0.155083[/C][C]1.0744[/C][C]0.143998[/C][/ROW]
[ROW][C]26[/C][C]0.046086[/C][C]0.3193[/C][C]0.375445[/C][/ROW]
[ROW][C]27[/C][C]-0.135155[/C][C]-0.9364[/C][C]0.176882[/C][/ROW]
[ROW][C]28[/C][C]-0.301674[/C][C]-2.0901[/C][C]0.020967[/C][/ROW]
[ROW][C]29[/C][C]-0.374887[/C][C]-2.5973[/C][C]0.006219[/C][/ROW]
[ROW][C]30[/C][C]-0.327848[/C][C]-2.2714[/C][C]0.013823[/C][/ROW]
[ROW][C]31[/C][C]-0.200731[/C][C]-1.3907[/C][C]0.085364[/C][/ROW]
[ROW][C]32[/C][C]-0.065826[/C][C]-0.4561[/C][C]0.325203[/C][/ROW]
[ROW][C]33[/C][C]0.002552[/C][C]0.0177[/C][C]0.492984[/C][/ROW]
[ROW][C]34[/C][C]-0.005974[/C][C]-0.0414[/C][C]0.483577[/C][/ROW]
[ROW][C]35[/C][C]-0.06668[/C][C]-0.462[/C][C]0.323094[/C][/ROW]
[ROW][C]36[/C][C]-0.125764[/C][C]-0.8713[/C][C]0.193959[/C][/ROW]
[ROW][C]37[/C][C]-0.16197[/C][C]-1.1222[/C][C]0.133689[/C][/ROW]
[ROW][C]38[/C][C]-0.129871[/C][C]-0.8998[/C][C]0.186366[/C][/ROW]
[ROW][C]39[/C][C]-0.055134[/C][C]-0.382[/C][C]0.352082[/C][/ROW]
[ROW][C]40[/C][C]0.031281[/C][C]0.2167[/C][C]0.414672[/C][/ROW]
[ROW][C]41[/C][C]0.09523[/C][C]0.6598[/C][C]0.256276[/C][/ROW]
[ROW][C]42[/C][C]0.11327[/C][C]0.7848[/C][C]0.218226[/C][/ROW]
[ROW][C]43[/C][C]0.088355[/C][C]0.6121[/C][C]0.271667[/C][/ROW]
[ROW][C]44[/C][C]0.046684[/C][C]0.3234[/C][C]0.373886[/C][/ROW]
[ROW][C]45[/C][C]0.016915[/C][C]0.1172[/C][C]0.4536[/C][/ROW]
[ROW][C]46[/C][C]-0.003964[/C][C]-0.0275[/C][C]0.489101[/C][/ROW]
[ROW][C]47[/C][C]-0.004232[/C][C]-0.0293[/C][C]0.488365[/C][/ROW]
[ROW][C]48[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35500&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35500&T=1

As an alternative you can also use a QR Code:  

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

Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.814625.64390
20.4459433.08960.001665
30.0448110.31050.378778
4-0.194963-1.35070.091556
5-0.195951-1.35760.090471
6-0.014776-0.10240.459445
70.2215081.53470.065717
80.3578622.47930.008363
90.3484922.41440.009811
100.1687321.1690.124086
11-0.046458-0.32190.374474
12-0.205021-1.42040.080974
13-0.221362-1.53360.065842
14-0.096575-0.66910.253321
150.0706060.48920.313474
160.1771951.22760.112784
170.1355690.93920.176153
18-0.023638-0.16380.435301
19-0.204731-1.41840.081265
20-0.320377-2.21960.015601
21-0.313969-2.17520.017284
22-0.193129-1.3380.093595
23-0.012507-0.08670.465655
240.1223730.84780.200372
250.1550831.07440.143998
260.0460860.31930.375445
27-0.135155-0.93640.176882
28-0.301674-2.09010.020967
29-0.374887-2.59730.006219
30-0.327848-2.27140.013823
31-0.200731-1.39070.085364
32-0.065826-0.45610.325203
330.0025520.01770.492984
34-0.005974-0.04140.483577
35-0.06668-0.4620.323094
36-0.125764-0.87130.193959
37-0.16197-1.12220.133689
38-0.129871-0.89980.186366
39-0.055134-0.3820.352082
400.0312810.21670.414672
410.095230.65980.256276
420.113270.78480.218226
430.0883550.61210.271667
440.0466840.32340.373886
450.0169150.11720.4536
46-0.003964-0.02750.489101
47-0.004232-0.02930.488365
48NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.814625.64390
2-0.647047-4.48292.3e-05
3-0.135112-0.93610.176958
40.3469072.40340.010077
50.2549351.76620.041857
6-0.003018-0.02090.491702
7-0.009738-0.06750.473245
8-0.098957-0.68560.248134
90.1055250.73110.234136
10-0.231267-1.60230.057829
110.1308910.90680.184511
120.0033910.02350.490676
130.042140.2920.38579
140.04560.31590.376713
15-0.11574-0.80190.213289
16-0.122078-0.84580.200936
17-0.107026-0.74150.231001
18-0.034666-0.24020.405609
190.1875581.29940.1
20-0.20542-1.42320.080574
21-0.045558-0.31560.376825
220.0903130.62570.267235
230.10470.72540.23587
24-0.092508-0.64090.262314
25-0.068887-0.47730.317671
26-0.160695-1.11330.135556
270.1104160.7650.224012
28-0.137296-0.95120.173131
29-0.024415-0.16920.433194
30-0.149858-1.03820.152178
310.0203160.14080.444326
32-0.020852-0.14450.442869
330.0195070.13510.44653
34-0.07324-0.50740.307092
350.1387420.96120.170626
36-0.079755-0.55260.291565
37-0.042102-0.29170.38589
380.0694480.48110.316299
39-0.021928-0.15190.439943
40-0.010013-0.06940.472491
410.1451941.00590.159745
420.0308270.21360.415891
430.0124940.08660.46569
44-0.104365-0.72310.236575
450.0561790.38920.349416
46-0.095881-0.66430.254845
47-0.098871-0.6850.248321
48NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.81462 & 5.6439 & 0 \tabularnewline
2 & -0.647047 & -4.4829 & 2.3e-05 \tabularnewline
3 & -0.135112 & -0.9361 & 0.176958 \tabularnewline
4 & 0.346907 & 2.4034 & 0.010077 \tabularnewline
5 & 0.254935 & 1.7662 & 0.041857 \tabularnewline
6 & -0.003018 & -0.0209 & 0.491702 \tabularnewline
7 & -0.009738 & -0.0675 & 0.473245 \tabularnewline
8 & -0.098957 & -0.6856 & 0.248134 \tabularnewline
9 & 0.105525 & 0.7311 & 0.234136 \tabularnewline
10 & -0.231267 & -1.6023 & 0.057829 \tabularnewline
11 & 0.130891 & 0.9068 & 0.184511 \tabularnewline
12 & 0.003391 & 0.0235 & 0.490676 \tabularnewline
13 & 0.04214 & 0.292 & 0.38579 \tabularnewline
14 & 0.0456 & 0.3159 & 0.376713 \tabularnewline
15 & -0.11574 & -0.8019 & 0.213289 \tabularnewline
16 & -0.122078 & -0.8458 & 0.200936 \tabularnewline
17 & -0.107026 & -0.7415 & 0.231001 \tabularnewline
18 & -0.034666 & -0.2402 & 0.405609 \tabularnewline
19 & 0.187558 & 1.2994 & 0.1 \tabularnewline
20 & -0.20542 & -1.4232 & 0.080574 \tabularnewline
21 & -0.045558 & -0.3156 & 0.376825 \tabularnewline
22 & 0.090313 & 0.6257 & 0.267235 \tabularnewline
23 & 0.1047 & 0.7254 & 0.23587 \tabularnewline
24 & -0.092508 & -0.6409 & 0.262314 \tabularnewline
25 & -0.068887 & -0.4773 & 0.317671 \tabularnewline
26 & -0.160695 & -1.1133 & 0.135556 \tabularnewline
27 & 0.110416 & 0.765 & 0.224012 \tabularnewline
28 & -0.137296 & -0.9512 & 0.173131 \tabularnewline
29 & -0.024415 & -0.1692 & 0.433194 \tabularnewline
30 & -0.149858 & -1.0382 & 0.152178 \tabularnewline
31 & 0.020316 & 0.1408 & 0.444326 \tabularnewline
32 & -0.020852 & -0.1445 & 0.442869 \tabularnewline
33 & 0.019507 & 0.1351 & 0.44653 \tabularnewline
34 & -0.07324 & -0.5074 & 0.307092 \tabularnewline
35 & 0.138742 & 0.9612 & 0.170626 \tabularnewline
36 & -0.079755 & -0.5526 & 0.291565 \tabularnewline
37 & -0.042102 & -0.2917 & 0.38589 \tabularnewline
38 & 0.069448 & 0.4811 & 0.316299 \tabularnewline
39 & -0.021928 & -0.1519 & 0.439943 \tabularnewline
40 & -0.010013 & -0.0694 & 0.472491 \tabularnewline
41 & 0.145194 & 1.0059 & 0.159745 \tabularnewline
42 & 0.030827 & 0.2136 & 0.415891 \tabularnewline
43 & 0.012494 & 0.0866 & 0.46569 \tabularnewline
44 & -0.104365 & -0.7231 & 0.236575 \tabularnewline
45 & 0.056179 & 0.3892 & 0.349416 \tabularnewline
46 & -0.095881 & -0.6643 & 0.254845 \tabularnewline
47 & -0.098871 & -0.685 & 0.248321 \tabularnewline
48 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35500&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]0.81462[/C][C]5.6439[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.647047[/C][C]-4.4829[/C][C]2.3e-05[/C][/ROW]
[ROW][C]3[/C][C]-0.135112[/C][C]-0.9361[/C][C]0.176958[/C][/ROW]
[ROW][C]4[/C][C]0.346907[/C][C]2.4034[/C][C]0.010077[/C][/ROW]
[ROW][C]5[/C][C]0.254935[/C][C]1.7662[/C][C]0.041857[/C][/ROW]
[ROW][C]6[/C][C]-0.003018[/C][C]-0.0209[/C][C]0.491702[/C][/ROW]
[ROW][C]7[/C][C]-0.009738[/C][C]-0.0675[/C][C]0.473245[/C][/ROW]
[ROW][C]8[/C][C]-0.098957[/C][C]-0.6856[/C][C]0.248134[/C][/ROW]
[ROW][C]9[/C][C]0.105525[/C][C]0.7311[/C][C]0.234136[/C][/ROW]
[ROW][C]10[/C][C]-0.231267[/C][C]-1.6023[/C][C]0.057829[/C][/ROW]
[ROW][C]11[/C][C]0.130891[/C][C]0.9068[/C][C]0.184511[/C][/ROW]
[ROW][C]12[/C][C]0.003391[/C][C]0.0235[/C][C]0.490676[/C][/ROW]
[ROW][C]13[/C][C]0.04214[/C][C]0.292[/C][C]0.38579[/C][/ROW]
[ROW][C]14[/C][C]0.0456[/C][C]0.3159[/C][C]0.376713[/C][/ROW]
[ROW][C]15[/C][C]-0.11574[/C][C]-0.8019[/C][C]0.213289[/C][/ROW]
[ROW][C]16[/C][C]-0.122078[/C][C]-0.8458[/C][C]0.200936[/C][/ROW]
[ROW][C]17[/C][C]-0.107026[/C][C]-0.7415[/C][C]0.231001[/C][/ROW]
[ROW][C]18[/C][C]-0.034666[/C][C]-0.2402[/C][C]0.405609[/C][/ROW]
[ROW][C]19[/C][C]0.187558[/C][C]1.2994[/C][C]0.1[/C][/ROW]
[ROW][C]20[/C][C]-0.20542[/C][C]-1.4232[/C][C]0.080574[/C][/ROW]
[ROW][C]21[/C][C]-0.045558[/C][C]-0.3156[/C][C]0.376825[/C][/ROW]
[ROW][C]22[/C][C]0.090313[/C][C]0.6257[/C][C]0.267235[/C][/ROW]
[ROW][C]23[/C][C]0.1047[/C][C]0.7254[/C][C]0.23587[/C][/ROW]
[ROW][C]24[/C][C]-0.092508[/C][C]-0.6409[/C][C]0.262314[/C][/ROW]
[ROW][C]25[/C][C]-0.068887[/C][C]-0.4773[/C][C]0.317671[/C][/ROW]
[ROW][C]26[/C][C]-0.160695[/C][C]-1.1133[/C][C]0.135556[/C][/ROW]
[ROW][C]27[/C][C]0.110416[/C][C]0.765[/C][C]0.224012[/C][/ROW]
[ROW][C]28[/C][C]-0.137296[/C][C]-0.9512[/C][C]0.173131[/C][/ROW]
[ROW][C]29[/C][C]-0.024415[/C][C]-0.1692[/C][C]0.433194[/C][/ROW]
[ROW][C]30[/C][C]-0.149858[/C][C]-1.0382[/C][C]0.152178[/C][/ROW]
[ROW][C]31[/C][C]0.020316[/C][C]0.1408[/C][C]0.444326[/C][/ROW]
[ROW][C]32[/C][C]-0.020852[/C][C]-0.1445[/C][C]0.442869[/C][/ROW]
[ROW][C]33[/C][C]0.019507[/C][C]0.1351[/C][C]0.44653[/C][/ROW]
[ROW][C]34[/C][C]-0.07324[/C][C]-0.5074[/C][C]0.307092[/C][/ROW]
[ROW][C]35[/C][C]0.138742[/C][C]0.9612[/C][C]0.170626[/C][/ROW]
[ROW][C]36[/C][C]-0.079755[/C][C]-0.5526[/C][C]0.291565[/C][/ROW]
[ROW][C]37[/C][C]-0.042102[/C][C]-0.2917[/C][C]0.38589[/C][/ROW]
[ROW][C]38[/C][C]0.069448[/C][C]0.4811[/C][C]0.316299[/C][/ROW]
[ROW][C]39[/C][C]-0.021928[/C][C]-0.1519[/C][C]0.439943[/C][/ROW]
[ROW][C]40[/C][C]-0.010013[/C][C]-0.0694[/C][C]0.472491[/C][/ROW]
[ROW][C]41[/C][C]0.145194[/C][C]1.0059[/C][C]0.159745[/C][/ROW]
[ROW][C]42[/C][C]0.030827[/C][C]0.2136[/C][C]0.415891[/C][/ROW]
[ROW][C]43[/C][C]0.012494[/C][C]0.0866[/C][C]0.46569[/C][/ROW]
[ROW][C]44[/C][C]-0.104365[/C][C]-0.7231[/C][C]0.236575[/C][/ROW]
[ROW][C]45[/C][C]0.056179[/C][C]0.3892[/C][C]0.349416[/C][/ROW]
[ROW][C]46[/C][C]-0.095881[/C][C]-0.6643[/C][C]0.254845[/C][/ROW]
[ROW][C]47[/C][C]-0.098871[/C][C]-0.685[/C][C]0.248321[/C][/ROW]
[ROW][C]48[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35500&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35500&T=2

As an alternative you can also use a QR Code:  

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

Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.814625.64390
2-0.647047-4.48292.3e-05
3-0.135112-0.93610.176958
40.3469072.40340.010077
50.2549351.76620.041857
6-0.003018-0.02090.491702
7-0.009738-0.06750.473245
8-0.098957-0.68560.248134
90.1055250.73110.234136
10-0.231267-1.60230.057829
110.1308910.90680.184511
120.0033910.02350.490676
130.042140.2920.38579
140.04560.31590.376713
15-0.11574-0.80190.213289
16-0.122078-0.84580.200936
17-0.107026-0.74150.231001
18-0.034666-0.24020.405609
190.1875581.29940.1
20-0.20542-1.42320.080574
21-0.045558-0.31560.376825
220.0903130.62570.267235
230.10470.72540.23587
24-0.092508-0.64090.262314
25-0.068887-0.47730.317671
26-0.160695-1.11330.135556
270.1104160.7650.224012
28-0.137296-0.95120.173131
29-0.024415-0.16920.433194
30-0.149858-1.03820.152178
310.0203160.14080.444326
32-0.020852-0.14450.442869
330.0195070.13510.44653
34-0.07324-0.50740.307092
350.1387420.96120.170626
36-0.079755-0.55260.291565
37-0.042102-0.29170.38589
380.0694480.48110.316299
39-0.021928-0.15190.439943
40-0.010013-0.06940.472491
410.1451941.00590.159745
420.0308270.21360.415891
430.0124940.08660.46569
44-0.104365-0.72310.236575
450.0561790.38920.349416
46-0.095881-0.66430.254845
47-0.098871-0.6850.248321
48NANANA



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 1 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; 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')