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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationTue, 15 Nov 2011 11:02:34 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Nov/15/t1321373071orm2bj44crvtkxm.htm/, Retrieved Fri, 29 Mar 2024 00:02:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=143115, Retrieved Fri, 29 Mar 2024 00:02:09 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP2W12
Estimated Impact73
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [autocorrelation e...] [2011-11-15 16:02:34] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
7,6
7,4
7,3
7,1
6,9
6,8
7,5
7,6
7,8
8
8,1
8,2
8,3
8,2
8
7,9
7,6
7,6
8,3
8,4
8,4
8,4
8,4
8,6
8,9
8,8
8,3
7,5
7,2
7,4
8,8
9,3
9,3
8,7
8,2
8,3
8,5
8,6
8,5
8,2
8,1
7,9
8,6
8,7
8,7
8,5
8,4
8,5
8,7
8,7
8,6
8,5
8,3
8
8,2
8,1
8,1
8
7,9
7,9
8
8
7,9
8
7,7
7,2
7,5
7,3
7
7
7
7,2
7,3
7,1
6,8
6,4
6,1
6,5
7,7
7,9
7,5
6,9
6,6
6,9
7,7
8
8
7,7
7,3
7,4
8,1
8,3
8,1
7,9
7,9
8,3
8,6
8,7
8,5
8,3
8
8
8,8
8,7
8,5
8,1
7,8
7,6




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net

\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 & 2 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=143115&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=143115&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=143115&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 time2 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.849578.8290
20.5922676.1550
30.4084624.24492.3e-05
40.3897594.05054.8e-05
50.4883385.0751e-06
60.559625.81570
70.4947995.14211e-06
80.3481733.61830.000226
90.2449912.5460.006153
100.2499412.59750.00535
110.3354113.48570.000355
120.3861834.01335.5e-05
130.2713892.82040.002855
140.1036681.07730.141863
15-0.015874-0.1650.434638
16-0.046272-0.48090.315789
17-0.017534-0.18220.427874
18-0.012328-0.12810.449149
19-0.086466-0.89860.185439
20-0.188594-1.95990.026291
21-0.246899-2.56580.005832
22-0.232317-2.41430.008723
23-0.168925-1.75550.041003
24-0.122967-1.27790.102011
25-0.194708-2.02350.022748
26-0.291766-3.03210.00152
27-0.3573-3.71320.000163
28-0.3654-3.79740.000121
29-0.33016-3.43110.000426
30-0.298621-3.10340.001221
31-0.306471-3.18490.000946
32-0.334594-3.47720.000366
33-0.342342-3.55770.000279
34-0.320415-3.32990.000595
35-0.274829-2.85610.002572
36-0.23547-2.44710.008007
37-0.265656-2.76080.003389
38-0.28968-3.01040.001624
39-0.282095-2.93160.002058
40-0.247697-2.57410.005702
41-0.210124-2.18370.015575
42-0.213726-2.22110.014215
43-0.270894-2.81520.002897
44-0.321546-3.34160.000572
45-0.306019-3.18020.00096
46-0.224122-2.32910.010856
47-0.119554-1.24240.108382
48-0.064176-0.66690.253119

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.84957 & 8.829 & 0 \tabularnewline
2 & 0.592267 & 6.155 & 0 \tabularnewline
3 & 0.408462 & 4.2449 & 2.3e-05 \tabularnewline
4 & 0.389759 & 4.0505 & 4.8e-05 \tabularnewline
5 & 0.488338 & 5.075 & 1e-06 \tabularnewline
6 & 0.55962 & 5.8157 & 0 \tabularnewline
7 & 0.494799 & 5.1421 & 1e-06 \tabularnewline
8 & 0.348173 & 3.6183 & 0.000226 \tabularnewline
9 & 0.244991 & 2.546 & 0.006153 \tabularnewline
10 & 0.249941 & 2.5975 & 0.00535 \tabularnewline
11 & 0.335411 & 3.4857 & 0.000355 \tabularnewline
12 & 0.386183 & 4.0133 & 5.5e-05 \tabularnewline
13 & 0.271389 & 2.8204 & 0.002855 \tabularnewline
14 & 0.103668 & 1.0773 & 0.141863 \tabularnewline
15 & -0.015874 & -0.165 & 0.434638 \tabularnewline
16 & -0.046272 & -0.4809 & 0.315789 \tabularnewline
17 & -0.017534 & -0.1822 & 0.427874 \tabularnewline
18 & -0.012328 & -0.1281 & 0.449149 \tabularnewline
19 & -0.086466 & -0.8986 & 0.185439 \tabularnewline
20 & -0.188594 & -1.9599 & 0.026291 \tabularnewline
21 & -0.246899 & -2.5658 & 0.005832 \tabularnewline
22 & -0.232317 & -2.4143 & 0.008723 \tabularnewline
23 & -0.168925 & -1.7555 & 0.041003 \tabularnewline
24 & -0.122967 & -1.2779 & 0.102011 \tabularnewline
25 & -0.194708 & -2.0235 & 0.022748 \tabularnewline
26 & -0.291766 & -3.0321 & 0.00152 \tabularnewline
27 & -0.3573 & -3.7132 & 0.000163 \tabularnewline
28 & -0.3654 & -3.7974 & 0.000121 \tabularnewline
29 & -0.33016 & -3.4311 & 0.000426 \tabularnewline
30 & -0.298621 & -3.1034 & 0.001221 \tabularnewline
31 & -0.306471 & -3.1849 & 0.000946 \tabularnewline
32 & -0.334594 & -3.4772 & 0.000366 \tabularnewline
33 & -0.342342 & -3.5577 & 0.000279 \tabularnewline
34 & -0.320415 & -3.3299 & 0.000595 \tabularnewline
35 & -0.274829 & -2.8561 & 0.002572 \tabularnewline
36 & -0.23547 & -2.4471 & 0.008007 \tabularnewline
37 & -0.265656 & -2.7608 & 0.003389 \tabularnewline
38 & -0.28968 & -3.0104 & 0.001624 \tabularnewline
39 & -0.282095 & -2.9316 & 0.002058 \tabularnewline
40 & -0.247697 & -2.5741 & 0.005702 \tabularnewline
41 & -0.210124 & -2.1837 & 0.015575 \tabularnewline
42 & -0.213726 & -2.2211 & 0.014215 \tabularnewline
43 & -0.270894 & -2.8152 & 0.002897 \tabularnewline
44 & -0.321546 & -3.3416 & 0.000572 \tabularnewline
45 & -0.306019 & -3.1802 & 0.00096 \tabularnewline
46 & -0.224122 & -2.3291 & 0.010856 \tabularnewline
47 & -0.119554 & -1.2424 & 0.108382 \tabularnewline
48 & -0.064176 & -0.6669 & 0.253119 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=143115&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]0.84957[/C][C]8.829[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.592267[/C][C]6.155[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.408462[/C][C]4.2449[/C][C]2.3e-05[/C][/ROW]
[ROW][C]4[/C][C]0.389759[/C][C]4.0505[/C][C]4.8e-05[/C][/ROW]
[ROW][C]5[/C][C]0.488338[/C][C]5.075[/C][C]1e-06[/C][/ROW]
[ROW][C]6[/C][C]0.55962[/C][C]5.8157[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.494799[/C][C]5.1421[/C][C]1e-06[/C][/ROW]
[ROW][C]8[/C][C]0.348173[/C][C]3.6183[/C][C]0.000226[/C][/ROW]
[ROW][C]9[/C][C]0.244991[/C][C]2.546[/C][C]0.006153[/C][/ROW]
[ROW][C]10[/C][C]0.249941[/C][C]2.5975[/C][C]0.00535[/C][/ROW]
[ROW][C]11[/C][C]0.335411[/C][C]3.4857[/C][C]0.000355[/C][/ROW]
[ROW][C]12[/C][C]0.386183[/C][C]4.0133[/C][C]5.5e-05[/C][/ROW]
[ROW][C]13[/C][C]0.271389[/C][C]2.8204[/C][C]0.002855[/C][/ROW]
[ROW][C]14[/C][C]0.103668[/C][C]1.0773[/C][C]0.141863[/C][/ROW]
[ROW][C]15[/C][C]-0.015874[/C][C]-0.165[/C][C]0.434638[/C][/ROW]
[ROW][C]16[/C][C]-0.046272[/C][C]-0.4809[/C][C]0.315789[/C][/ROW]
[ROW][C]17[/C][C]-0.017534[/C][C]-0.1822[/C][C]0.427874[/C][/ROW]
[ROW][C]18[/C][C]-0.012328[/C][C]-0.1281[/C][C]0.449149[/C][/ROW]
[ROW][C]19[/C][C]-0.086466[/C][C]-0.8986[/C][C]0.185439[/C][/ROW]
[ROW][C]20[/C][C]-0.188594[/C][C]-1.9599[/C][C]0.026291[/C][/ROW]
[ROW][C]21[/C][C]-0.246899[/C][C]-2.5658[/C][C]0.005832[/C][/ROW]
[ROW][C]22[/C][C]-0.232317[/C][C]-2.4143[/C][C]0.008723[/C][/ROW]
[ROW][C]23[/C][C]-0.168925[/C][C]-1.7555[/C][C]0.041003[/C][/ROW]
[ROW][C]24[/C][C]-0.122967[/C][C]-1.2779[/C][C]0.102011[/C][/ROW]
[ROW][C]25[/C][C]-0.194708[/C][C]-2.0235[/C][C]0.022748[/C][/ROW]
[ROW][C]26[/C][C]-0.291766[/C][C]-3.0321[/C][C]0.00152[/C][/ROW]
[ROW][C]27[/C][C]-0.3573[/C][C]-3.7132[/C][C]0.000163[/C][/ROW]
[ROW][C]28[/C][C]-0.3654[/C][C]-3.7974[/C][C]0.000121[/C][/ROW]
[ROW][C]29[/C][C]-0.33016[/C][C]-3.4311[/C][C]0.000426[/C][/ROW]
[ROW][C]30[/C][C]-0.298621[/C][C]-3.1034[/C][C]0.001221[/C][/ROW]
[ROW][C]31[/C][C]-0.306471[/C][C]-3.1849[/C][C]0.000946[/C][/ROW]
[ROW][C]32[/C][C]-0.334594[/C][C]-3.4772[/C][C]0.000366[/C][/ROW]
[ROW][C]33[/C][C]-0.342342[/C][C]-3.5577[/C][C]0.000279[/C][/ROW]
[ROW][C]34[/C][C]-0.320415[/C][C]-3.3299[/C][C]0.000595[/C][/ROW]
[ROW][C]35[/C][C]-0.274829[/C][C]-2.8561[/C][C]0.002572[/C][/ROW]
[ROW][C]36[/C][C]-0.23547[/C][C]-2.4471[/C][C]0.008007[/C][/ROW]
[ROW][C]37[/C][C]-0.265656[/C][C]-2.7608[/C][C]0.003389[/C][/ROW]
[ROW][C]38[/C][C]-0.28968[/C][C]-3.0104[/C][C]0.001624[/C][/ROW]
[ROW][C]39[/C][C]-0.282095[/C][C]-2.9316[/C][C]0.002058[/C][/ROW]
[ROW][C]40[/C][C]-0.247697[/C][C]-2.5741[/C][C]0.005702[/C][/ROW]
[ROW][C]41[/C][C]-0.210124[/C][C]-2.1837[/C][C]0.015575[/C][/ROW]
[ROW][C]42[/C][C]-0.213726[/C][C]-2.2211[/C][C]0.014215[/C][/ROW]
[ROW][C]43[/C][C]-0.270894[/C][C]-2.8152[/C][C]0.002897[/C][/ROW]
[ROW][C]44[/C][C]-0.321546[/C][C]-3.3416[/C][C]0.000572[/C][/ROW]
[ROW][C]45[/C][C]-0.306019[/C][C]-3.1802[/C][C]0.00096[/C][/ROW]
[ROW][C]46[/C][C]-0.224122[/C][C]-2.3291[/C][C]0.010856[/C][/ROW]
[ROW][C]47[/C][C]-0.119554[/C][C]-1.2424[/C][C]0.108382[/C][/ROW]
[ROW][C]48[/C][C]-0.064176[/C][C]-0.6669[/C][C]0.253119[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=143115&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=143115&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
10.849578.8290
20.5922676.1550
30.4084624.24492.3e-05
40.3897594.05054.8e-05
50.4883385.0751e-06
60.559625.81570
70.4947995.14211e-06
80.3481733.61830.000226
90.2449912.5460.006153
100.2499412.59750.00535
110.3354113.48570.000355
120.3861834.01335.5e-05
130.2713892.82040.002855
140.1036681.07730.141863
15-0.015874-0.1650.434638
16-0.046272-0.48090.315789
17-0.017534-0.18220.427874
18-0.012328-0.12810.449149
19-0.086466-0.89860.185439
20-0.188594-1.95990.026291
21-0.246899-2.56580.005832
22-0.232317-2.41430.008723
23-0.168925-1.75550.041003
24-0.122967-1.27790.102011
25-0.194708-2.02350.022748
26-0.291766-3.03210.00152
27-0.3573-3.71320.000163
28-0.3654-3.79740.000121
29-0.33016-3.43110.000426
30-0.298621-3.10340.001221
31-0.306471-3.18490.000946
32-0.334594-3.47720.000366
33-0.342342-3.55770.000279
34-0.320415-3.32990.000595
35-0.274829-2.85610.002572
36-0.23547-2.44710.008007
37-0.265656-2.76080.003389
38-0.28968-3.01040.001624
39-0.282095-2.93160.002058
40-0.247697-2.57410.005702
41-0.210124-2.18370.015575
42-0.213726-2.22110.014215
43-0.270894-2.81520.002897
44-0.321546-3.34160.000572
45-0.306019-3.18020.00096
46-0.224122-2.32910.010856
47-0.119554-1.24240.108382
48-0.064176-0.66690.253119







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.849578.8290
2-0.465446-4.83712e-06
30.3051953.17170.000987
40.3269733.3980.000476
50.1648071.71270.044816
6-0.094211-0.97910.164866
7-0.19119-1.98690.024732
80.0876260.91060.182259
90.1327711.37980.08525
100.0117420.1220.451551
110.0275130.28590.387744
12-0.09696-1.00760.157941
13-0.41396-4.3021.9e-05
140.3168363.29270.000671
15-0.152273-1.58250.058233
16-0.259056-2.69220.004115
17-0.082779-0.86030.195775
18-0.020667-0.21480.415173
190.0180120.18720.425932
20-0.007387-0.07680.469476
21-0.102469-1.06490.14465
220.0591270.61450.2701
230.0408760.42480.335914
240.090650.94210.174131
25-0.217428-2.25960.012927
260.0890080.9250.178515
27-0.084996-0.88330.189516
28-0.001351-0.0140.494411
29-0.015985-0.16610.434185
30-0.010218-0.10620.457817
310.0443010.46040.323082
32-0.068883-0.71580.237815
330.0485760.50480.30736
34-0.028141-0.29240.385253
35-0.068057-0.70730.24046
36-0.020275-0.21070.416756
37-0.037904-0.39390.347212
380.0820390.85260.197892
39-0.009461-0.09830.460931
40-0.070502-0.73270.232671
41-0.055021-0.57180.284323
42-0.211181-2.19470.015165
43-0.094945-0.98670.162998
440.0683210.710.239614
450.0429110.44590.328265
460.0032940.03420.486377
47-0.027018-0.28080.389708
48-0.097319-1.01140.15705

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.84957 & 8.829 & 0 \tabularnewline
2 & -0.465446 & -4.8371 & 2e-06 \tabularnewline
3 & 0.305195 & 3.1717 & 0.000987 \tabularnewline
4 & 0.326973 & 3.398 & 0.000476 \tabularnewline
5 & 0.164807 & 1.7127 & 0.044816 \tabularnewline
6 & -0.094211 & -0.9791 & 0.164866 \tabularnewline
7 & -0.19119 & -1.9869 & 0.024732 \tabularnewline
8 & 0.087626 & 0.9106 & 0.182259 \tabularnewline
9 & 0.132771 & 1.3798 & 0.08525 \tabularnewline
10 & 0.011742 & 0.122 & 0.451551 \tabularnewline
11 & 0.027513 & 0.2859 & 0.387744 \tabularnewline
12 & -0.09696 & -1.0076 & 0.157941 \tabularnewline
13 & -0.41396 & -4.302 & 1.9e-05 \tabularnewline
14 & 0.316836 & 3.2927 & 0.000671 \tabularnewline
15 & -0.152273 & -1.5825 & 0.058233 \tabularnewline
16 & -0.259056 & -2.6922 & 0.004115 \tabularnewline
17 & -0.082779 & -0.8603 & 0.195775 \tabularnewline
18 & -0.020667 & -0.2148 & 0.415173 \tabularnewline
19 & 0.018012 & 0.1872 & 0.425932 \tabularnewline
20 & -0.007387 & -0.0768 & 0.469476 \tabularnewline
21 & -0.102469 & -1.0649 & 0.14465 \tabularnewline
22 & 0.059127 & 0.6145 & 0.2701 \tabularnewline
23 & 0.040876 & 0.4248 & 0.335914 \tabularnewline
24 & 0.09065 & 0.9421 & 0.174131 \tabularnewline
25 & -0.217428 & -2.2596 & 0.012927 \tabularnewline
26 & 0.089008 & 0.925 & 0.178515 \tabularnewline
27 & -0.084996 & -0.8833 & 0.189516 \tabularnewline
28 & -0.001351 & -0.014 & 0.494411 \tabularnewline
29 & -0.015985 & -0.1661 & 0.434185 \tabularnewline
30 & -0.010218 & -0.1062 & 0.457817 \tabularnewline
31 & 0.044301 & 0.4604 & 0.323082 \tabularnewline
32 & -0.068883 & -0.7158 & 0.237815 \tabularnewline
33 & 0.048576 & 0.5048 & 0.30736 \tabularnewline
34 & -0.028141 & -0.2924 & 0.385253 \tabularnewline
35 & -0.068057 & -0.7073 & 0.24046 \tabularnewline
36 & -0.020275 & -0.2107 & 0.416756 \tabularnewline
37 & -0.037904 & -0.3939 & 0.347212 \tabularnewline
38 & 0.082039 & 0.8526 & 0.197892 \tabularnewline
39 & -0.009461 & -0.0983 & 0.460931 \tabularnewline
40 & -0.070502 & -0.7327 & 0.232671 \tabularnewline
41 & -0.055021 & -0.5718 & 0.284323 \tabularnewline
42 & -0.211181 & -2.1947 & 0.015165 \tabularnewline
43 & -0.094945 & -0.9867 & 0.162998 \tabularnewline
44 & 0.068321 & 0.71 & 0.239614 \tabularnewline
45 & 0.042911 & 0.4459 & 0.328265 \tabularnewline
46 & 0.003294 & 0.0342 & 0.486377 \tabularnewline
47 & -0.027018 & -0.2808 & 0.389708 \tabularnewline
48 & -0.097319 & -1.0114 & 0.15705 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=143115&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]0.84957[/C][C]8.829[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.465446[/C][C]-4.8371[/C][C]2e-06[/C][/ROW]
[ROW][C]3[/C][C]0.305195[/C][C]3.1717[/C][C]0.000987[/C][/ROW]
[ROW][C]4[/C][C]0.326973[/C][C]3.398[/C][C]0.000476[/C][/ROW]
[ROW][C]5[/C][C]0.164807[/C][C]1.7127[/C][C]0.044816[/C][/ROW]
[ROW][C]6[/C][C]-0.094211[/C][C]-0.9791[/C][C]0.164866[/C][/ROW]
[ROW][C]7[/C][C]-0.19119[/C][C]-1.9869[/C][C]0.024732[/C][/ROW]
[ROW][C]8[/C][C]0.087626[/C][C]0.9106[/C][C]0.182259[/C][/ROW]
[ROW][C]9[/C][C]0.132771[/C][C]1.3798[/C][C]0.08525[/C][/ROW]
[ROW][C]10[/C][C]0.011742[/C][C]0.122[/C][C]0.451551[/C][/ROW]
[ROW][C]11[/C][C]0.027513[/C][C]0.2859[/C][C]0.387744[/C][/ROW]
[ROW][C]12[/C][C]-0.09696[/C][C]-1.0076[/C][C]0.157941[/C][/ROW]
[ROW][C]13[/C][C]-0.41396[/C][C]-4.302[/C][C]1.9e-05[/C][/ROW]
[ROW][C]14[/C][C]0.316836[/C][C]3.2927[/C][C]0.000671[/C][/ROW]
[ROW][C]15[/C][C]-0.152273[/C][C]-1.5825[/C][C]0.058233[/C][/ROW]
[ROW][C]16[/C][C]-0.259056[/C][C]-2.6922[/C][C]0.004115[/C][/ROW]
[ROW][C]17[/C][C]-0.082779[/C][C]-0.8603[/C][C]0.195775[/C][/ROW]
[ROW][C]18[/C][C]-0.020667[/C][C]-0.2148[/C][C]0.415173[/C][/ROW]
[ROW][C]19[/C][C]0.018012[/C][C]0.1872[/C][C]0.425932[/C][/ROW]
[ROW][C]20[/C][C]-0.007387[/C][C]-0.0768[/C][C]0.469476[/C][/ROW]
[ROW][C]21[/C][C]-0.102469[/C][C]-1.0649[/C][C]0.14465[/C][/ROW]
[ROW][C]22[/C][C]0.059127[/C][C]0.6145[/C][C]0.2701[/C][/ROW]
[ROW][C]23[/C][C]0.040876[/C][C]0.4248[/C][C]0.335914[/C][/ROW]
[ROW][C]24[/C][C]0.09065[/C][C]0.9421[/C][C]0.174131[/C][/ROW]
[ROW][C]25[/C][C]-0.217428[/C][C]-2.2596[/C][C]0.012927[/C][/ROW]
[ROW][C]26[/C][C]0.089008[/C][C]0.925[/C][C]0.178515[/C][/ROW]
[ROW][C]27[/C][C]-0.084996[/C][C]-0.8833[/C][C]0.189516[/C][/ROW]
[ROW][C]28[/C][C]-0.001351[/C][C]-0.014[/C][C]0.494411[/C][/ROW]
[ROW][C]29[/C][C]-0.015985[/C][C]-0.1661[/C][C]0.434185[/C][/ROW]
[ROW][C]30[/C][C]-0.010218[/C][C]-0.1062[/C][C]0.457817[/C][/ROW]
[ROW][C]31[/C][C]0.044301[/C][C]0.4604[/C][C]0.323082[/C][/ROW]
[ROW][C]32[/C][C]-0.068883[/C][C]-0.7158[/C][C]0.237815[/C][/ROW]
[ROW][C]33[/C][C]0.048576[/C][C]0.5048[/C][C]0.30736[/C][/ROW]
[ROW][C]34[/C][C]-0.028141[/C][C]-0.2924[/C][C]0.385253[/C][/ROW]
[ROW][C]35[/C][C]-0.068057[/C][C]-0.7073[/C][C]0.24046[/C][/ROW]
[ROW][C]36[/C][C]-0.020275[/C][C]-0.2107[/C][C]0.416756[/C][/ROW]
[ROW][C]37[/C][C]-0.037904[/C][C]-0.3939[/C][C]0.347212[/C][/ROW]
[ROW][C]38[/C][C]0.082039[/C][C]0.8526[/C][C]0.197892[/C][/ROW]
[ROW][C]39[/C][C]-0.009461[/C][C]-0.0983[/C][C]0.460931[/C][/ROW]
[ROW][C]40[/C][C]-0.070502[/C][C]-0.7327[/C][C]0.232671[/C][/ROW]
[ROW][C]41[/C][C]-0.055021[/C][C]-0.5718[/C][C]0.284323[/C][/ROW]
[ROW][C]42[/C][C]-0.211181[/C][C]-2.1947[/C][C]0.015165[/C][/ROW]
[ROW][C]43[/C][C]-0.094945[/C][C]-0.9867[/C][C]0.162998[/C][/ROW]
[ROW][C]44[/C][C]0.068321[/C][C]0.71[/C][C]0.239614[/C][/ROW]
[ROW][C]45[/C][C]0.042911[/C][C]0.4459[/C][C]0.328265[/C][/ROW]
[ROW][C]46[/C][C]0.003294[/C][C]0.0342[/C][C]0.486377[/C][/ROW]
[ROW][C]47[/C][C]-0.027018[/C][C]-0.2808[/C][C]0.389708[/C][/ROW]
[ROW][C]48[/C][C]-0.097319[/C][C]-1.0114[/C][C]0.15705[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=143115&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=143115&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
10.849578.8290
2-0.465446-4.83712e-06
30.3051953.17170.000987
40.3269733.3980.000476
50.1648071.71270.044816
6-0.094211-0.97910.164866
7-0.19119-1.98690.024732
80.0876260.91060.182259
90.1327711.37980.08525
100.0117420.1220.451551
110.0275130.28590.387744
12-0.09696-1.00760.157941
13-0.41396-4.3021.9e-05
140.3168363.29270.000671
15-0.152273-1.58250.058233
16-0.259056-2.69220.004115
17-0.082779-0.86030.195775
18-0.020667-0.21480.415173
190.0180120.18720.425932
20-0.007387-0.07680.469476
21-0.102469-1.06490.14465
220.0591270.61450.2701
230.0408760.42480.335914
240.090650.94210.174131
25-0.217428-2.25960.012927
260.0890080.9250.178515
27-0.084996-0.88330.189516
28-0.001351-0.0140.494411
29-0.015985-0.16610.434185
30-0.010218-0.10620.457817
310.0443010.46040.323082
32-0.068883-0.71580.237815
330.0485760.50480.30736
34-0.028141-0.29240.385253
35-0.068057-0.70730.24046
36-0.020275-0.21070.416756
37-0.037904-0.39390.347212
380.0820390.85260.197892
39-0.009461-0.09830.460931
40-0.070502-0.73270.232671
41-0.055021-0.57180.284323
42-0.211181-2.19470.015165
43-0.094945-0.98670.162998
440.0683210.710.239614
450.0429110.44590.328265
460.0032940.03420.486377
47-0.027018-0.28080.389708
48-0.097319-1.01140.15705



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ; par8 = ;
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 (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
par7 <- as.numeric(par7)
if (par8 != '') par8 <- as.numeric(par8)
ox <- x
if (par8 == '') {
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
} else {
x <- log(x,base=par8)
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='picts.png')
op <- par(mfrow=c(2,1))
plot(ox,type='l',main='Original Time Series',xlab='time',ylab='value')
if (par8=='') {
mytitle <- paste('Working Time Series (lambda=',par2,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
} else {
mytitle <- paste('Working Time Series (base=',par8,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(base=',par8,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
}
plot(x,type='l', main=mytitle,xlab='time',ylab='value')
par(op)
dev.off()
bitmap(file='pic1.png')
racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=mysub)
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF',sub=mysub)
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')