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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationMon, 17 Dec 2007 12:56:11 -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/17/t1197920443z1ly7hu62zpxlln.htm/, Retrieved Fri, 03 May 2024 21:52:03 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=4418, Retrieved Fri, 03 May 2024 21:52:03 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact177
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [ACF - Serie 2 - P...] [2007-12-17 19:56:11] [921757a21ec3444367392306fe4aab7f] [Current]
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Dataseries X:
8,4
8,4
8,6
8,7
8,7
8,6
8
8,1
8,1
8,5
8,6
8,6
8,3
8,3
8,5
9,2
9,2
9
7,4
7,3
7,4
8,6
8,7
8,7
8,5
8,4
8,6
8,4
8,4
8,2
7,7
7,6
7,7
8,1
8,2
8,3
8,1
8
8,2
7,6
7,7
7,6
6,9
6,9
7
7,4
7,4
7,5
7,4
7,4
7,8
6,6
6,6
6,2
6,1
6,2
6,3
6
6,2
6,3




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=4418&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=4418&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4418&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
10.8622036.67860
20.7094395.49530
30.5505214.26433.6e-05
40.4924213.81430.000163
50.4723763.6590.000268
60.4382543.39470.000612
70.3747422.90270.002584
80.3188442.46980.008191
90.3017652.33750.011385
100.3516092.72360.004223
110.3927673.04240.00174
120.4133313.20160.001093
130.3357912.6010.005844
140.2423361.87710.032683
150.1459151.13020.131435
160.0678850.52580.300471
170.0227010.17580.430504
18-0.023066-0.17870.570599
19-0.023883-0.1850.573074
20-0.029672-0.22980.5905
21-0.018418-0.14270.556483
22-0.005933-0.0460.518251
230.0003430.00270.498945
24-0.007529-0.05830.523155
25-0.057296-0.44380.670613
26-0.110015-0.85220.801246
27-0.167412-1.29680.900162
28-0.207624-1.60830.943485
29-0.239608-1.8560.965816
30-0.2707-2.09680.979884
31-0.259185-2.00760.975404
32-0.238857-1.85020.965393
33-0.191727-1.48510.928625
34-0.181901-1.4090.918002
35-0.187279-1.45070.923959
36-0.215034-1.66560.949501
37-0.226692-1.7560.9579
38-0.232489-1.80080.961624
39-0.235389-1.82330.963381
40-0.279997-2.16880.982966
41-0.32129-2.48870.992193
42-0.357376-2.76820.996257
43-0.313197-2.4260.990855
44-0.26512-2.05360.97781
45-0.207993-1.61110.943798
46-0.199793-1.54760.93651
47-0.199987-1.54910.936691

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 7.746 & 0 \tabularnewline
1 & 0.862203 & 6.6786 & 0 \tabularnewline
2 & 0.709439 & 5.4953 & 0 \tabularnewline
3 & 0.550521 & 4.2643 & 3.6e-05 \tabularnewline
4 & 0.492421 & 3.8143 & 0.000163 \tabularnewline
5 & 0.472376 & 3.659 & 0.000268 \tabularnewline
6 & 0.438254 & 3.3947 & 0.000612 \tabularnewline
7 & 0.374742 & 2.9027 & 0.002584 \tabularnewline
8 & 0.318844 & 2.4698 & 0.008191 \tabularnewline
9 & 0.301765 & 2.3375 & 0.011385 \tabularnewline
10 & 0.351609 & 2.7236 & 0.004223 \tabularnewline
11 & 0.392767 & 3.0424 & 0.00174 \tabularnewline
12 & 0.413331 & 3.2016 & 0.001093 \tabularnewline
13 & 0.335791 & 2.601 & 0.005844 \tabularnewline
14 & 0.242336 & 1.8771 & 0.032683 \tabularnewline
15 & 0.145915 & 1.1302 & 0.131435 \tabularnewline
16 & 0.067885 & 0.5258 & 0.300471 \tabularnewline
17 & 0.022701 & 0.1758 & 0.430504 \tabularnewline
18 & -0.023066 & -0.1787 & 0.570599 \tabularnewline
19 & -0.023883 & -0.185 & 0.573074 \tabularnewline
20 & -0.029672 & -0.2298 & 0.5905 \tabularnewline
21 & -0.018418 & -0.1427 & 0.556483 \tabularnewline
22 & -0.005933 & -0.046 & 0.518251 \tabularnewline
23 & 0.000343 & 0.0027 & 0.498945 \tabularnewline
24 & -0.007529 & -0.0583 & 0.523155 \tabularnewline
25 & -0.057296 & -0.4438 & 0.670613 \tabularnewline
26 & -0.110015 & -0.8522 & 0.801246 \tabularnewline
27 & -0.167412 & -1.2968 & 0.900162 \tabularnewline
28 & -0.207624 & -1.6083 & 0.943485 \tabularnewline
29 & -0.239608 & -1.856 & 0.965816 \tabularnewline
30 & -0.2707 & -2.0968 & 0.979884 \tabularnewline
31 & -0.259185 & -2.0076 & 0.975404 \tabularnewline
32 & -0.238857 & -1.8502 & 0.965393 \tabularnewline
33 & -0.191727 & -1.4851 & 0.928625 \tabularnewline
34 & -0.181901 & -1.409 & 0.918002 \tabularnewline
35 & -0.187279 & -1.4507 & 0.923959 \tabularnewline
36 & -0.215034 & -1.6656 & 0.949501 \tabularnewline
37 & -0.226692 & -1.756 & 0.9579 \tabularnewline
38 & -0.232489 & -1.8008 & 0.961624 \tabularnewline
39 & -0.235389 & -1.8233 & 0.963381 \tabularnewline
40 & -0.279997 & -2.1688 & 0.982966 \tabularnewline
41 & -0.32129 & -2.4887 & 0.992193 \tabularnewline
42 & -0.357376 & -2.7682 & 0.996257 \tabularnewline
43 & -0.313197 & -2.426 & 0.990855 \tabularnewline
44 & -0.26512 & -2.0536 & 0.97781 \tabularnewline
45 & -0.207993 & -1.6111 & 0.943798 \tabularnewline
46 & -0.199793 & -1.5476 & 0.93651 \tabularnewline
47 & -0.199987 & -1.5491 & 0.936691 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4418&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]0.862203[/C][C]6.6786[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.709439[/C][C]5.4953[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.550521[/C][C]4.2643[/C][C]3.6e-05[/C][/ROW]
[ROW][C]4[/C][C]0.492421[/C][C]3.8143[/C][C]0.000163[/C][/ROW]
[ROW][C]5[/C][C]0.472376[/C][C]3.659[/C][C]0.000268[/C][/ROW]
[ROW][C]6[/C][C]0.438254[/C][C]3.3947[/C][C]0.000612[/C][/ROW]
[ROW][C]7[/C][C]0.374742[/C][C]2.9027[/C][C]0.002584[/C][/ROW]
[ROW][C]8[/C][C]0.318844[/C][C]2.4698[/C][C]0.008191[/C][/ROW]
[ROW][C]9[/C][C]0.301765[/C][C]2.3375[/C][C]0.011385[/C][/ROW]
[ROW][C]10[/C][C]0.351609[/C][C]2.7236[/C][C]0.004223[/C][/ROW]
[ROW][C]11[/C][C]0.392767[/C][C]3.0424[/C][C]0.00174[/C][/ROW]
[ROW][C]12[/C][C]0.413331[/C][C]3.2016[/C][C]0.001093[/C][/ROW]
[ROW][C]13[/C][C]0.335791[/C][C]2.601[/C][C]0.005844[/C][/ROW]
[ROW][C]14[/C][C]0.242336[/C][C]1.8771[/C][C]0.032683[/C][/ROW]
[ROW][C]15[/C][C]0.145915[/C][C]1.1302[/C][C]0.131435[/C][/ROW]
[ROW][C]16[/C][C]0.067885[/C][C]0.5258[/C][C]0.300471[/C][/ROW]
[ROW][C]17[/C][C]0.022701[/C][C]0.1758[/C][C]0.430504[/C][/ROW]
[ROW][C]18[/C][C]-0.023066[/C][C]-0.1787[/C][C]0.570599[/C][/ROW]
[ROW][C]19[/C][C]-0.023883[/C][C]-0.185[/C][C]0.573074[/C][/ROW]
[ROW][C]20[/C][C]-0.029672[/C][C]-0.2298[/C][C]0.5905[/C][/ROW]
[ROW][C]21[/C][C]-0.018418[/C][C]-0.1427[/C][C]0.556483[/C][/ROW]
[ROW][C]22[/C][C]-0.005933[/C][C]-0.046[/C][C]0.518251[/C][/ROW]
[ROW][C]23[/C][C]0.000343[/C][C]0.0027[/C][C]0.498945[/C][/ROW]
[ROW][C]24[/C][C]-0.007529[/C][C]-0.0583[/C][C]0.523155[/C][/ROW]
[ROW][C]25[/C][C]-0.057296[/C][C]-0.4438[/C][C]0.670613[/C][/ROW]
[ROW][C]26[/C][C]-0.110015[/C][C]-0.8522[/C][C]0.801246[/C][/ROW]
[ROW][C]27[/C][C]-0.167412[/C][C]-1.2968[/C][C]0.900162[/C][/ROW]
[ROW][C]28[/C][C]-0.207624[/C][C]-1.6083[/C][C]0.943485[/C][/ROW]
[ROW][C]29[/C][C]-0.239608[/C][C]-1.856[/C][C]0.965816[/C][/ROW]
[ROW][C]30[/C][C]-0.2707[/C][C]-2.0968[/C][C]0.979884[/C][/ROW]
[ROW][C]31[/C][C]-0.259185[/C][C]-2.0076[/C][C]0.975404[/C][/ROW]
[ROW][C]32[/C][C]-0.238857[/C][C]-1.8502[/C][C]0.965393[/C][/ROW]
[ROW][C]33[/C][C]-0.191727[/C][C]-1.4851[/C][C]0.928625[/C][/ROW]
[ROW][C]34[/C][C]-0.181901[/C][C]-1.409[/C][C]0.918002[/C][/ROW]
[ROW][C]35[/C][C]-0.187279[/C][C]-1.4507[/C][C]0.923959[/C][/ROW]
[ROW][C]36[/C][C]-0.215034[/C][C]-1.6656[/C][C]0.949501[/C][/ROW]
[ROW][C]37[/C][C]-0.226692[/C][C]-1.756[/C][C]0.9579[/C][/ROW]
[ROW][C]38[/C][C]-0.232489[/C][C]-1.8008[/C][C]0.961624[/C][/ROW]
[ROW][C]39[/C][C]-0.235389[/C][C]-1.8233[/C][C]0.963381[/C][/ROW]
[ROW][C]40[/C][C]-0.279997[/C][C]-2.1688[/C][C]0.982966[/C][/ROW]
[ROW][C]41[/C][C]-0.32129[/C][C]-2.4887[/C][C]0.992193[/C][/ROW]
[ROW][C]42[/C][C]-0.357376[/C][C]-2.7682[/C][C]0.996257[/C][/ROW]
[ROW][C]43[/C][C]-0.313197[/C][C]-2.426[/C][C]0.990855[/C][/ROW]
[ROW][C]44[/C][C]-0.26512[/C][C]-2.0536[/C][C]0.97781[/C][/ROW]
[ROW][C]45[/C][C]-0.207993[/C][C]-1.6111[/C][C]0.943798[/C][/ROW]
[ROW][C]46[/C][C]-0.199793[/C][C]-1.5476[/C][C]0.93651[/C][/ROW]
[ROW][C]47[/C][C]-0.199987[/C][C]-1.5491[/C][C]0.936691[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4418&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4418&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
10.8622036.67860
20.7094395.49530
30.5505214.26433.6e-05
40.4924213.81430.000163
50.4723763.6590.000268
60.4382543.39470.000612
70.3747422.90270.002584
80.3188442.46980.008191
90.3017652.33750.011385
100.3516092.72360.004223
110.3927673.04240.00174
120.4133313.20160.001093
130.3357912.6010.005844
140.2423361.87710.032683
150.1459151.13020.131435
160.0678850.52580.300471
170.0227010.17580.430504
18-0.023066-0.17870.570599
19-0.023883-0.1850.573074
20-0.029672-0.22980.5905
21-0.018418-0.14270.556483
22-0.005933-0.0460.518251
230.0003430.00270.498945
24-0.007529-0.05830.523155
25-0.057296-0.44380.670613
26-0.110015-0.85220.801246
27-0.167412-1.29680.900162
28-0.207624-1.60830.943485
29-0.239608-1.8560.965816
30-0.2707-2.09680.979884
31-0.259185-2.00760.975404
32-0.238857-1.85020.965393
33-0.191727-1.48510.928625
34-0.181901-1.4090.918002
35-0.187279-1.45070.923959
36-0.215034-1.66560.949501
37-0.226692-1.7560.9579
38-0.232489-1.80080.961624
39-0.235389-1.82330.963381
40-0.279997-2.16880.982966
41-0.32129-2.48870.992193
42-0.357376-2.76820.996257
43-0.313197-2.4260.990855
44-0.26512-2.05360.97781
45-0.207993-1.61110.943798
46-0.199793-1.54760.93651
47-0.199987-1.54910.936691







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.8622036.67860
1-0.132325-1.0250.845258
2-0.1111-0.86060.803551
30.3042622.35680.010857
40.0681890.52820.299657
5-0.144123-1.11640.865644
6-0.02699-0.20910.582448
70.1080760.83720.202914
80.0908330.70360.242204
90.1887051.46170.07452
10-0.017576-0.13610.553917
110.0123790.09590.461964
12-0.231305-1.79170.960886
13-0.063232-0.48980.686968
14-0.06615-0.51240.694873
15-0.192145-1.48830.929052
160.0282160.21860.413867
170.00160.01240.495075
180.1798631.39320.084348
19-0.053016-0.41070.658608
20-0.01885-0.1460.5578
21-0.006638-0.05140.52042
22-0.043347-0.33580.630891
23-0.092817-0.7190.76252
24-0.134315-1.04040.848835
250.0511140.39590.346782
26-0.016532-0.12810.550735
270.0591660.45830.324196
28-0.068361-0.52950.700802
29-0.038016-0.29450.615293
300.0777710.60240.274585
31-0.032036-0.24820.597567
320.0263560.20420.419461
33-0.196435-1.52160.933316
340.0325750.25230.400827
35-0.035248-0.2730.607117
360.133551.03450.152533
37-0.058508-0.45320.673981
38-0.000982-0.00760.503022
39-0.138523-1.0730.856215
40-0.023155-0.17940.570871
41-0.01421-0.11010.543641
420.0237370.18390.42737
43-0.009442-0.07310.529031
44-0.024917-0.1930.576196
450.0970950.75210.227467
46-0.021246-0.16460.565083
47-0.043114-0.3340.630214

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.862203 & 6.6786 & 0 \tabularnewline
1 & -0.132325 & -1.025 & 0.845258 \tabularnewline
2 & -0.1111 & -0.8606 & 0.803551 \tabularnewline
3 & 0.304262 & 2.3568 & 0.010857 \tabularnewline
4 & 0.068189 & 0.5282 & 0.299657 \tabularnewline
5 & -0.144123 & -1.1164 & 0.865644 \tabularnewline
6 & -0.02699 & -0.2091 & 0.582448 \tabularnewline
7 & 0.108076 & 0.8372 & 0.202914 \tabularnewline
8 & 0.090833 & 0.7036 & 0.242204 \tabularnewline
9 & 0.188705 & 1.4617 & 0.07452 \tabularnewline
10 & -0.017576 & -0.1361 & 0.553917 \tabularnewline
11 & 0.012379 & 0.0959 & 0.461964 \tabularnewline
12 & -0.231305 & -1.7917 & 0.960886 \tabularnewline
13 & -0.063232 & -0.4898 & 0.686968 \tabularnewline
14 & -0.06615 & -0.5124 & 0.694873 \tabularnewline
15 & -0.192145 & -1.4883 & 0.929052 \tabularnewline
16 & 0.028216 & 0.2186 & 0.413867 \tabularnewline
17 & 0.0016 & 0.0124 & 0.495075 \tabularnewline
18 & 0.179863 & 1.3932 & 0.084348 \tabularnewline
19 & -0.053016 & -0.4107 & 0.658608 \tabularnewline
20 & -0.01885 & -0.146 & 0.5578 \tabularnewline
21 & -0.006638 & -0.0514 & 0.52042 \tabularnewline
22 & -0.043347 & -0.3358 & 0.630891 \tabularnewline
23 & -0.092817 & -0.719 & 0.76252 \tabularnewline
24 & -0.134315 & -1.0404 & 0.848835 \tabularnewline
25 & 0.051114 & 0.3959 & 0.346782 \tabularnewline
26 & -0.016532 & -0.1281 & 0.550735 \tabularnewline
27 & 0.059166 & 0.4583 & 0.324196 \tabularnewline
28 & -0.068361 & -0.5295 & 0.700802 \tabularnewline
29 & -0.038016 & -0.2945 & 0.615293 \tabularnewline
30 & 0.077771 & 0.6024 & 0.274585 \tabularnewline
31 & -0.032036 & -0.2482 & 0.597567 \tabularnewline
32 & 0.026356 & 0.2042 & 0.419461 \tabularnewline
33 & -0.196435 & -1.5216 & 0.933316 \tabularnewline
34 & 0.032575 & 0.2523 & 0.400827 \tabularnewline
35 & -0.035248 & -0.273 & 0.607117 \tabularnewline
36 & 0.13355 & 1.0345 & 0.152533 \tabularnewline
37 & -0.058508 & -0.4532 & 0.673981 \tabularnewline
38 & -0.000982 & -0.0076 & 0.503022 \tabularnewline
39 & -0.138523 & -1.073 & 0.856215 \tabularnewline
40 & -0.023155 & -0.1794 & 0.570871 \tabularnewline
41 & -0.01421 & -0.1101 & 0.543641 \tabularnewline
42 & 0.023737 & 0.1839 & 0.42737 \tabularnewline
43 & -0.009442 & -0.0731 & 0.529031 \tabularnewline
44 & -0.024917 & -0.193 & 0.576196 \tabularnewline
45 & 0.097095 & 0.7521 & 0.227467 \tabularnewline
46 & -0.021246 & -0.1646 & 0.565083 \tabularnewline
47 & -0.043114 & -0.334 & 0.630214 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4418&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]0.862203[/C][C]6.6786[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]-0.132325[/C][C]-1.025[/C][C]0.845258[/C][/ROW]
[ROW][C]2[/C][C]-0.1111[/C][C]-0.8606[/C][C]0.803551[/C][/ROW]
[ROW][C]3[/C][C]0.304262[/C][C]2.3568[/C][C]0.010857[/C][/ROW]
[ROW][C]4[/C][C]0.068189[/C][C]0.5282[/C][C]0.299657[/C][/ROW]
[ROW][C]5[/C][C]-0.144123[/C][C]-1.1164[/C][C]0.865644[/C][/ROW]
[ROW][C]6[/C][C]-0.02699[/C][C]-0.2091[/C][C]0.582448[/C][/ROW]
[ROW][C]7[/C][C]0.108076[/C][C]0.8372[/C][C]0.202914[/C][/ROW]
[ROW][C]8[/C][C]0.090833[/C][C]0.7036[/C][C]0.242204[/C][/ROW]
[ROW][C]9[/C][C]0.188705[/C][C]1.4617[/C][C]0.07452[/C][/ROW]
[ROW][C]10[/C][C]-0.017576[/C][C]-0.1361[/C][C]0.553917[/C][/ROW]
[ROW][C]11[/C][C]0.012379[/C][C]0.0959[/C][C]0.461964[/C][/ROW]
[ROW][C]12[/C][C]-0.231305[/C][C]-1.7917[/C][C]0.960886[/C][/ROW]
[ROW][C]13[/C][C]-0.063232[/C][C]-0.4898[/C][C]0.686968[/C][/ROW]
[ROW][C]14[/C][C]-0.06615[/C][C]-0.5124[/C][C]0.694873[/C][/ROW]
[ROW][C]15[/C][C]-0.192145[/C][C]-1.4883[/C][C]0.929052[/C][/ROW]
[ROW][C]16[/C][C]0.028216[/C][C]0.2186[/C][C]0.413867[/C][/ROW]
[ROW][C]17[/C][C]0.0016[/C][C]0.0124[/C][C]0.495075[/C][/ROW]
[ROW][C]18[/C][C]0.179863[/C][C]1.3932[/C][C]0.084348[/C][/ROW]
[ROW][C]19[/C][C]-0.053016[/C][C]-0.4107[/C][C]0.658608[/C][/ROW]
[ROW][C]20[/C][C]-0.01885[/C][C]-0.146[/C][C]0.5578[/C][/ROW]
[ROW][C]21[/C][C]-0.006638[/C][C]-0.0514[/C][C]0.52042[/C][/ROW]
[ROW][C]22[/C][C]-0.043347[/C][C]-0.3358[/C][C]0.630891[/C][/ROW]
[ROW][C]23[/C][C]-0.092817[/C][C]-0.719[/C][C]0.76252[/C][/ROW]
[ROW][C]24[/C][C]-0.134315[/C][C]-1.0404[/C][C]0.848835[/C][/ROW]
[ROW][C]25[/C][C]0.051114[/C][C]0.3959[/C][C]0.346782[/C][/ROW]
[ROW][C]26[/C][C]-0.016532[/C][C]-0.1281[/C][C]0.550735[/C][/ROW]
[ROW][C]27[/C][C]0.059166[/C][C]0.4583[/C][C]0.324196[/C][/ROW]
[ROW][C]28[/C][C]-0.068361[/C][C]-0.5295[/C][C]0.700802[/C][/ROW]
[ROW][C]29[/C][C]-0.038016[/C][C]-0.2945[/C][C]0.615293[/C][/ROW]
[ROW][C]30[/C][C]0.077771[/C][C]0.6024[/C][C]0.274585[/C][/ROW]
[ROW][C]31[/C][C]-0.032036[/C][C]-0.2482[/C][C]0.597567[/C][/ROW]
[ROW][C]32[/C][C]0.026356[/C][C]0.2042[/C][C]0.419461[/C][/ROW]
[ROW][C]33[/C][C]-0.196435[/C][C]-1.5216[/C][C]0.933316[/C][/ROW]
[ROW][C]34[/C][C]0.032575[/C][C]0.2523[/C][C]0.400827[/C][/ROW]
[ROW][C]35[/C][C]-0.035248[/C][C]-0.273[/C][C]0.607117[/C][/ROW]
[ROW][C]36[/C][C]0.13355[/C][C]1.0345[/C][C]0.152533[/C][/ROW]
[ROW][C]37[/C][C]-0.058508[/C][C]-0.4532[/C][C]0.673981[/C][/ROW]
[ROW][C]38[/C][C]-0.000982[/C][C]-0.0076[/C][C]0.503022[/C][/ROW]
[ROW][C]39[/C][C]-0.138523[/C][C]-1.073[/C][C]0.856215[/C][/ROW]
[ROW][C]40[/C][C]-0.023155[/C][C]-0.1794[/C][C]0.570871[/C][/ROW]
[ROW][C]41[/C][C]-0.01421[/C][C]-0.1101[/C][C]0.543641[/C][/ROW]
[ROW][C]42[/C][C]0.023737[/C][C]0.1839[/C][C]0.42737[/C][/ROW]
[ROW][C]43[/C][C]-0.009442[/C][C]-0.0731[/C][C]0.529031[/C][/ROW]
[ROW][C]44[/C][C]-0.024917[/C][C]-0.193[/C][C]0.576196[/C][/ROW]
[ROW][C]45[/C][C]0.097095[/C][C]0.7521[/C][C]0.227467[/C][/ROW]
[ROW][C]46[/C][C]-0.021246[/C][C]-0.1646[/C][C]0.565083[/C][/ROW]
[ROW][C]47[/C][C]-0.043114[/C][C]-0.334[/C][C]0.630214[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4418&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4418&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
00.8622036.67860
1-0.132325-1.0250.845258
2-0.1111-0.86060.803551
30.3042622.35680.010857
40.0681890.52820.299657
5-0.144123-1.11640.865644
6-0.02699-0.20910.582448
70.1080760.83720.202914
80.0908330.70360.242204
90.1887051.46170.07452
10-0.017576-0.13610.553917
110.0123790.09590.461964
12-0.231305-1.79170.960886
13-0.063232-0.48980.686968
14-0.06615-0.51240.694873
15-0.192145-1.48830.929052
160.0282160.21860.413867
170.00160.01240.495075
180.1798631.39320.084348
19-0.053016-0.41070.658608
20-0.01885-0.1460.5578
21-0.006638-0.05140.52042
22-0.043347-0.33580.630891
23-0.092817-0.7190.76252
24-0.134315-1.04040.848835
250.0511140.39590.346782
26-0.016532-0.12810.550735
270.0591660.45830.324196
28-0.068361-0.52950.700802
29-0.038016-0.29450.615293
300.0777710.60240.274585
31-0.032036-0.24820.597567
320.0263560.20420.419461
33-0.196435-1.52160.933316
340.0325750.25230.400827
35-0.035248-0.2730.607117
360.133551.03450.152533
37-0.058508-0.45320.673981
38-0.000982-0.00760.503022
39-0.138523-1.0730.856215
40-0.023155-0.17940.570871
41-0.01421-0.11010.543641
420.0237370.18390.42737
43-0.009442-0.07310.529031
44-0.024917-0.1930.576196
450.0970950.75210.227467
46-0.021246-0.16460.565083
47-0.043114-0.3340.630214



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