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Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationWed, 28 Nov 2012 06:31:17 -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/2012/Nov/28/t1354102335xvoi881me9x3ez2.htm/, Retrieved Fri, 29 Mar 2024 08:49:00 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=194122, Retrieved Fri, 29 Mar 2024 08:49:00 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact121
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Eigen reeks 2] [2012-11-28 11:31:17] [56be9a844975c6d0d36e88eaea5fb75b] [Current]
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Dataseries X:
45.3
49.9
53.8
55.1
52.9
53.5
53.8
52
48.2
45.5
45.7
52.5
52.3
54.8
54.7
54.9
54.9
64.2
66.4
69.1
68.3
77.3
89.6
93
96.1
131.3
125.3
126
138.3
163
182.5
164.6
148.8
109.3
93.5
80.2
84
75.5
62.4
64.2
64.7
71
73.7
72.6
68.1
72.3
78.5
81.9
97.8
93.1
94.2
101.1
101
99.7
97.1
91.7
95
98.9
109
121.9
131.5
128.5
128.4
126.4
123.1
123
123.3
123.6
124.9
120.4
114.9
113.4




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=194122&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=194122&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=194122&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 time3 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.39063.29130.000778
20.1846791.55610.062061
3-0.010071-0.08490.466305
40.0013150.01110.495595
50.0373240.31450.377032
6-0.037995-0.32020.374897
7-0.016001-0.13480.446565
8-0.222519-1.8750.032455
9-0.195785-1.64970.051709
10-0.198497-1.67260.049407
11-0.012252-0.10320.459034
12-0.042742-0.36020.359901
13-0.200738-1.69140.047568
14-0.128681-1.08430.140953
15-0.180228-1.51860.066648
16-0.088217-0.74330.229868
17-0.010675-0.08990.464291
180.0428610.36120.359529
190.0260510.21950.413441
20-0.022221-0.18720.426004
21-0.038052-0.32060.374716
22-0.036476-0.30740.379738
230.0817930.68920.246472
24-0.037593-0.31680.376175
25-0.107818-0.90850.183347
26-0.037918-0.31950.375142
27-0.04429-0.37320.355057
280.0482520.40660.342771
290.1218431.02670.154032
300.1039020.87550.192128
310.0912960.76930.222141
320.0007760.00650.497401
330.0156140.13160.447851
340.0555830.46840.320483
350.0748180.63040.265219
360.0329370.27750.39109
370.0787580.66360.254539
380.0414530.34930.363955
39-0.014247-0.120.452394
40-0.035011-0.2950.384425
41-0.039677-0.33430.369561
42-0.032396-0.2730.392833
43-0.004178-0.03520.486006
44-0.040892-0.34460.365721
45-0.02422-0.20410.419438
46-0.004528-0.03810.484838
47-0.000929-0.00780.496887
48-0.014595-0.1230.451236

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.3906 & 3.2913 & 0.000778 \tabularnewline
2 & 0.184679 & 1.5561 & 0.062061 \tabularnewline
3 & -0.010071 & -0.0849 & 0.466305 \tabularnewline
4 & 0.001315 & 0.0111 & 0.495595 \tabularnewline
5 & 0.037324 & 0.3145 & 0.377032 \tabularnewline
6 & -0.037995 & -0.3202 & 0.374897 \tabularnewline
7 & -0.016001 & -0.1348 & 0.446565 \tabularnewline
8 & -0.222519 & -1.875 & 0.032455 \tabularnewline
9 & -0.195785 & -1.6497 & 0.051709 \tabularnewline
10 & -0.198497 & -1.6726 & 0.049407 \tabularnewline
11 & -0.012252 & -0.1032 & 0.459034 \tabularnewline
12 & -0.042742 & -0.3602 & 0.359901 \tabularnewline
13 & -0.200738 & -1.6914 & 0.047568 \tabularnewline
14 & -0.128681 & -1.0843 & 0.140953 \tabularnewline
15 & -0.180228 & -1.5186 & 0.066648 \tabularnewline
16 & -0.088217 & -0.7433 & 0.229868 \tabularnewline
17 & -0.010675 & -0.0899 & 0.464291 \tabularnewline
18 & 0.042861 & 0.3612 & 0.359529 \tabularnewline
19 & 0.026051 & 0.2195 & 0.413441 \tabularnewline
20 & -0.022221 & -0.1872 & 0.426004 \tabularnewline
21 & -0.038052 & -0.3206 & 0.374716 \tabularnewline
22 & -0.036476 & -0.3074 & 0.379738 \tabularnewline
23 & 0.081793 & 0.6892 & 0.246472 \tabularnewline
24 & -0.037593 & -0.3168 & 0.376175 \tabularnewline
25 & -0.107818 & -0.9085 & 0.183347 \tabularnewline
26 & -0.037918 & -0.3195 & 0.375142 \tabularnewline
27 & -0.04429 & -0.3732 & 0.355057 \tabularnewline
28 & 0.048252 & 0.4066 & 0.342771 \tabularnewline
29 & 0.121843 & 1.0267 & 0.154032 \tabularnewline
30 & 0.103902 & 0.8755 & 0.192128 \tabularnewline
31 & 0.091296 & 0.7693 & 0.222141 \tabularnewline
32 & 0.000776 & 0.0065 & 0.497401 \tabularnewline
33 & 0.015614 & 0.1316 & 0.447851 \tabularnewline
34 & 0.055583 & 0.4684 & 0.320483 \tabularnewline
35 & 0.074818 & 0.6304 & 0.265219 \tabularnewline
36 & 0.032937 & 0.2775 & 0.39109 \tabularnewline
37 & 0.078758 & 0.6636 & 0.254539 \tabularnewline
38 & 0.041453 & 0.3493 & 0.363955 \tabularnewline
39 & -0.014247 & -0.12 & 0.452394 \tabularnewline
40 & -0.035011 & -0.295 & 0.384425 \tabularnewline
41 & -0.039677 & -0.3343 & 0.369561 \tabularnewline
42 & -0.032396 & -0.273 & 0.392833 \tabularnewline
43 & -0.004178 & -0.0352 & 0.486006 \tabularnewline
44 & -0.040892 & -0.3446 & 0.365721 \tabularnewline
45 & -0.02422 & -0.2041 & 0.419438 \tabularnewline
46 & -0.004528 & -0.0381 & 0.484838 \tabularnewline
47 & -0.000929 & -0.0078 & 0.496887 \tabularnewline
48 & -0.014595 & -0.123 & 0.451236 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=194122&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]0.3906[/C][C]3.2913[/C][C]0.000778[/C][/ROW]
[ROW][C]2[/C][C]0.184679[/C][C]1.5561[/C][C]0.062061[/C][/ROW]
[ROW][C]3[/C][C]-0.010071[/C][C]-0.0849[/C][C]0.466305[/C][/ROW]
[ROW][C]4[/C][C]0.001315[/C][C]0.0111[/C][C]0.495595[/C][/ROW]
[ROW][C]5[/C][C]0.037324[/C][C]0.3145[/C][C]0.377032[/C][/ROW]
[ROW][C]6[/C][C]-0.037995[/C][C]-0.3202[/C][C]0.374897[/C][/ROW]
[ROW][C]7[/C][C]-0.016001[/C][C]-0.1348[/C][C]0.446565[/C][/ROW]
[ROW][C]8[/C][C]-0.222519[/C][C]-1.875[/C][C]0.032455[/C][/ROW]
[ROW][C]9[/C][C]-0.195785[/C][C]-1.6497[/C][C]0.051709[/C][/ROW]
[ROW][C]10[/C][C]-0.198497[/C][C]-1.6726[/C][C]0.049407[/C][/ROW]
[ROW][C]11[/C][C]-0.012252[/C][C]-0.1032[/C][C]0.459034[/C][/ROW]
[ROW][C]12[/C][C]-0.042742[/C][C]-0.3602[/C][C]0.359901[/C][/ROW]
[ROW][C]13[/C][C]-0.200738[/C][C]-1.6914[/C][C]0.047568[/C][/ROW]
[ROW][C]14[/C][C]-0.128681[/C][C]-1.0843[/C][C]0.140953[/C][/ROW]
[ROW][C]15[/C][C]-0.180228[/C][C]-1.5186[/C][C]0.066648[/C][/ROW]
[ROW][C]16[/C][C]-0.088217[/C][C]-0.7433[/C][C]0.229868[/C][/ROW]
[ROW][C]17[/C][C]-0.010675[/C][C]-0.0899[/C][C]0.464291[/C][/ROW]
[ROW][C]18[/C][C]0.042861[/C][C]0.3612[/C][C]0.359529[/C][/ROW]
[ROW][C]19[/C][C]0.026051[/C][C]0.2195[/C][C]0.413441[/C][/ROW]
[ROW][C]20[/C][C]-0.022221[/C][C]-0.1872[/C][C]0.426004[/C][/ROW]
[ROW][C]21[/C][C]-0.038052[/C][C]-0.3206[/C][C]0.374716[/C][/ROW]
[ROW][C]22[/C][C]-0.036476[/C][C]-0.3074[/C][C]0.379738[/C][/ROW]
[ROW][C]23[/C][C]0.081793[/C][C]0.6892[/C][C]0.246472[/C][/ROW]
[ROW][C]24[/C][C]-0.037593[/C][C]-0.3168[/C][C]0.376175[/C][/ROW]
[ROW][C]25[/C][C]-0.107818[/C][C]-0.9085[/C][C]0.183347[/C][/ROW]
[ROW][C]26[/C][C]-0.037918[/C][C]-0.3195[/C][C]0.375142[/C][/ROW]
[ROW][C]27[/C][C]-0.04429[/C][C]-0.3732[/C][C]0.355057[/C][/ROW]
[ROW][C]28[/C][C]0.048252[/C][C]0.4066[/C][C]0.342771[/C][/ROW]
[ROW][C]29[/C][C]0.121843[/C][C]1.0267[/C][C]0.154032[/C][/ROW]
[ROW][C]30[/C][C]0.103902[/C][C]0.8755[/C][C]0.192128[/C][/ROW]
[ROW][C]31[/C][C]0.091296[/C][C]0.7693[/C][C]0.222141[/C][/ROW]
[ROW][C]32[/C][C]0.000776[/C][C]0.0065[/C][C]0.497401[/C][/ROW]
[ROW][C]33[/C][C]0.015614[/C][C]0.1316[/C][C]0.447851[/C][/ROW]
[ROW][C]34[/C][C]0.055583[/C][C]0.4684[/C][C]0.320483[/C][/ROW]
[ROW][C]35[/C][C]0.074818[/C][C]0.6304[/C][C]0.265219[/C][/ROW]
[ROW][C]36[/C][C]0.032937[/C][C]0.2775[/C][C]0.39109[/C][/ROW]
[ROW][C]37[/C][C]0.078758[/C][C]0.6636[/C][C]0.254539[/C][/ROW]
[ROW][C]38[/C][C]0.041453[/C][C]0.3493[/C][C]0.363955[/C][/ROW]
[ROW][C]39[/C][C]-0.014247[/C][C]-0.12[/C][C]0.452394[/C][/ROW]
[ROW][C]40[/C][C]-0.035011[/C][C]-0.295[/C][C]0.384425[/C][/ROW]
[ROW][C]41[/C][C]-0.039677[/C][C]-0.3343[/C][C]0.369561[/C][/ROW]
[ROW][C]42[/C][C]-0.032396[/C][C]-0.273[/C][C]0.392833[/C][/ROW]
[ROW][C]43[/C][C]-0.004178[/C][C]-0.0352[/C][C]0.486006[/C][/ROW]
[ROW][C]44[/C][C]-0.040892[/C][C]-0.3446[/C][C]0.365721[/C][/ROW]
[ROW][C]45[/C][C]-0.02422[/C][C]-0.2041[/C][C]0.419438[/C][/ROW]
[ROW][C]46[/C][C]-0.004528[/C][C]-0.0381[/C][C]0.484838[/C][/ROW]
[ROW][C]47[/C][C]-0.000929[/C][C]-0.0078[/C][C]0.496887[/C][/ROW]
[ROW][C]48[/C][C]-0.014595[/C][C]-0.123[/C][C]0.451236[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=194122&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=194122&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
10.39063.29130.000778
20.1846791.55610.062061
3-0.010071-0.08490.466305
40.0013150.01110.495595
50.0373240.31450.377032
6-0.037995-0.32020.374897
7-0.016001-0.13480.446565
8-0.222519-1.8750.032455
9-0.195785-1.64970.051709
10-0.198497-1.67260.049407
11-0.012252-0.10320.459034
12-0.042742-0.36020.359901
13-0.200738-1.69140.047568
14-0.128681-1.08430.140953
15-0.180228-1.51860.066648
16-0.088217-0.74330.229868
17-0.010675-0.08990.464291
180.0428610.36120.359529
190.0260510.21950.413441
20-0.022221-0.18720.426004
21-0.038052-0.32060.374716
22-0.036476-0.30740.379738
230.0817930.68920.246472
24-0.037593-0.31680.376175
25-0.107818-0.90850.183347
26-0.037918-0.31950.375142
27-0.04429-0.37320.355057
280.0482520.40660.342771
290.1218431.02670.154032
300.1039020.87550.192128
310.0912960.76930.222141
320.0007760.00650.497401
330.0156140.13160.447851
340.0555830.46840.320483
350.0748180.63040.265219
360.0329370.27750.39109
370.0787580.66360.254539
380.0414530.34930.363955
39-0.014247-0.120.452394
40-0.035011-0.2950.384425
41-0.039677-0.33430.369561
42-0.032396-0.2730.392833
43-0.004178-0.03520.486006
44-0.040892-0.34460.365721
45-0.02422-0.20410.419438
46-0.004528-0.03810.484838
47-0.000929-0.00780.496887
48-0.014595-0.1230.451236







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.39063.29130.000778
20.0378920.31930.375223
3-0.111407-0.93870.175525
40.0405980.34210.36665
50.0541210.4560.324878
6-0.094349-0.7950.214631
70.0196490.16560.434483
8-0.237501-2.00120.024596
9-0.054111-0.45590.32491
10-0.063967-0.5390.295787
110.1040720.87690.191742
12-0.090328-0.76110.224553
13-0.219373-1.84850.034349
140.0296160.24960.401827
15-0.109106-0.91930.180514
16-0.085183-0.71780.23763
170.0513610.43280.333244
18-0.041765-0.35190.362972
19-0.027805-0.23430.407719
20-0.022823-0.19230.424025
21-0.117887-0.99330.16196
22-0.07815-0.65850.256171
230.0396810.33440.369548
24-0.158287-1.33380.093274
25-0.18311-1.54290.063649
260.0552370.46540.321521
27-0.068663-0.57860.282357
28-0.054639-0.46040.323321
290.0898890.75740.225653
30-0.080434-0.67780.250066
31-8.4e-05-7e-040.49972
32-0.058774-0.49520.31098
33-0.059331-0.49990.309334
34-0.040264-0.33930.367704
35-0.012773-0.10760.457299
360.0068710.05790.476996
370.0250950.21150.416568
38-0.039037-0.32890.371588
39-0.00886-0.07470.47035
40-0.147712-1.24460.108679
41-0.017809-0.15010.44057
420.000430.00360.498558
430.0103520.08720.465367
44-0.01114-0.09390.462741
450.0213940.18030.428726
46-0.02739-0.23080.40907
470.0091230.07690.469472
48-0.053904-0.45420.325533

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.3906 & 3.2913 & 0.000778 \tabularnewline
2 & 0.037892 & 0.3193 & 0.375223 \tabularnewline
3 & -0.111407 & -0.9387 & 0.175525 \tabularnewline
4 & 0.040598 & 0.3421 & 0.36665 \tabularnewline
5 & 0.054121 & 0.456 & 0.324878 \tabularnewline
6 & -0.094349 & -0.795 & 0.214631 \tabularnewline
7 & 0.019649 & 0.1656 & 0.434483 \tabularnewline
8 & -0.237501 & -2.0012 & 0.024596 \tabularnewline
9 & -0.054111 & -0.4559 & 0.32491 \tabularnewline
10 & -0.063967 & -0.539 & 0.295787 \tabularnewline
11 & 0.104072 & 0.8769 & 0.191742 \tabularnewline
12 & -0.090328 & -0.7611 & 0.224553 \tabularnewline
13 & -0.219373 & -1.8485 & 0.034349 \tabularnewline
14 & 0.029616 & 0.2496 & 0.401827 \tabularnewline
15 & -0.109106 & -0.9193 & 0.180514 \tabularnewline
16 & -0.085183 & -0.7178 & 0.23763 \tabularnewline
17 & 0.051361 & 0.4328 & 0.333244 \tabularnewline
18 & -0.041765 & -0.3519 & 0.362972 \tabularnewline
19 & -0.027805 & -0.2343 & 0.407719 \tabularnewline
20 & -0.022823 & -0.1923 & 0.424025 \tabularnewline
21 & -0.117887 & -0.9933 & 0.16196 \tabularnewline
22 & -0.07815 & -0.6585 & 0.256171 \tabularnewline
23 & 0.039681 & 0.3344 & 0.369548 \tabularnewline
24 & -0.158287 & -1.3338 & 0.093274 \tabularnewline
25 & -0.18311 & -1.5429 & 0.063649 \tabularnewline
26 & 0.055237 & 0.4654 & 0.321521 \tabularnewline
27 & -0.068663 & -0.5786 & 0.282357 \tabularnewline
28 & -0.054639 & -0.4604 & 0.323321 \tabularnewline
29 & 0.089889 & 0.7574 & 0.225653 \tabularnewline
30 & -0.080434 & -0.6778 & 0.250066 \tabularnewline
31 & -8.4e-05 & -7e-04 & 0.49972 \tabularnewline
32 & -0.058774 & -0.4952 & 0.31098 \tabularnewline
33 & -0.059331 & -0.4999 & 0.309334 \tabularnewline
34 & -0.040264 & -0.3393 & 0.367704 \tabularnewline
35 & -0.012773 & -0.1076 & 0.457299 \tabularnewline
36 & 0.006871 & 0.0579 & 0.476996 \tabularnewline
37 & 0.025095 & 0.2115 & 0.416568 \tabularnewline
38 & -0.039037 & -0.3289 & 0.371588 \tabularnewline
39 & -0.00886 & -0.0747 & 0.47035 \tabularnewline
40 & -0.147712 & -1.2446 & 0.108679 \tabularnewline
41 & -0.017809 & -0.1501 & 0.44057 \tabularnewline
42 & 0.00043 & 0.0036 & 0.498558 \tabularnewline
43 & 0.010352 & 0.0872 & 0.465367 \tabularnewline
44 & -0.01114 & -0.0939 & 0.462741 \tabularnewline
45 & 0.021394 & 0.1803 & 0.428726 \tabularnewline
46 & -0.02739 & -0.2308 & 0.40907 \tabularnewline
47 & 0.009123 & 0.0769 & 0.469472 \tabularnewline
48 & -0.053904 & -0.4542 & 0.325533 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=194122&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]0.3906[/C][C]3.2913[/C][C]0.000778[/C][/ROW]
[ROW][C]2[/C][C]0.037892[/C][C]0.3193[/C][C]0.375223[/C][/ROW]
[ROW][C]3[/C][C]-0.111407[/C][C]-0.9387[/C][C]0.175525[/C][/ROW]
[ROW][C]4[/C][C]0.040598[/C][C]0.3421[/C][C]0.36665[/C][/ROW]
[ROW][C]5[/C][C]0.054121[/C][C]0.456[/C][C]0.324878[/C][/ROW]
[ROW][C]6[/C][C]-0.094349[/C][C]-0.795[/C][C]0.214631[/C][/ROW]
[ROW][C]7[/C][C]0.019649[/C][C]0.1656[/C][C]0.434483[/C][/ROW]
[ROW][C]8[/C][C]-0.237501[/C][C]-2.0012[/C][C]0.024596[/C][/ROW]
[ROW][C]9[/C][C]-0.054111[/C][C]-0.4559[/C][C]0.32491[/C][/ROW]
[ROW][C]10[/C][C]-0.063967[/C][C]-0.539[/C][C]0.295787[/C][/ROW]
[ROW][C]11[/C][C]0.104072[/C][C]0.8769[/C][C]0.191742[/C][/ROW]
[ROW][C]12[/C][C]-0.090328[/C][C]-0.7611[/C][C]0.224553[/C][/ROW]
[ROW][C]13[/C][C]-0.219373[/C][C]-1.8485[/C][C]0.034349[/C][/ROW]
[ROW][C]14[/C][C]0.029616[/C][C]0.2496[/C][C]0.401827[/C][/ROW]
[ROW][C]15[/C][C]-0.109106[/C][C]-0.9193[/C][C]0.180514[/C][/ROW]
[ROW][C]16[/C][C]-0.085183[/C][C]-0.7178[/C][C]0.23763[/C][/ROW]
[ROW][C]17[/C][C]0.051361[/C][C]0.4328[/C][C]0.333244[/C][/ROW]
[ROW][C]18[/C][C]-0.041765[/C][C]-0.3519[/C][C]0.362972[/C][/ROW]
[ROW][C]19[/C][C]-0.027805[/C][C]-0.2343[/C][C]0.407719[/C][/ROW]
[ROW][C]20[/C][C]-0.022823[/C][C]-0.1923[/C][C]0.424025[/C][/ROW]
[ROW][C]21[/C][C]-0.117887[/C][C]-0.9933[/C][C]0.16196[/C][/ROW]
[ROW][C]22[/C][C]-0.07815[/C][C]-0.6585[/C][C]0.256171[/C][/ROW]
[ROW][C]23[/C][C]0.039681[/C][C]0.3344[/C][C]0.369548[/C][/ROW]
[ROW][C]24[/C][C]-0.158287[/C][C]-1.3338[/C][C]0.093274[/C][/ROW]
[ROW][C]25[/C][C]-0.18311[/C][C]-1.5429[/C][C]0.063649[/C][/ROW]
[ROW][C]26[/C][C]0.055237[/C][C]0.4654[/C][C]0.321521[/C][/ROW]
[ROW][C]27[/C][C]-0.068663[/C][C]-0.5786[/C][C]0.282357[/C][/ROW]
[ROW][C]28[/C][C]-0.054639[/C][C]-0.4604[/C][C]0.323321[/C][/ROW]
[ROW][C]29[/C][C]0.089889[/C][C]0.7574[/C][C]0.225653[/C][/ROW]
[ROW][C]30[/C][C]-0.080434[/C][C]-0.6778[/C][C]0.250066[/C][/ROW]
[ROW][C]31[/C][C]-8.4e-05[/C][C]-7e-04[/C][C]0.49972[/C][/ROW]
[ROW][C]32[/C][C]-0.058774[/C][C]-0.4952[/C][C]0.31098[/C][/ROW]
[ROW][C]33[/C][C]-0.059331[/C][C]-0.4999[/C][C]0.309334[/C][/ROW]
[ROW][C]34[/C][C]-0.040264[/C][C]-0.3393[/C][C]0.367704[/C][/ROW]
[ROW][C]35[/C][C]-0.012773[/C][C]-0.1076[/C][C]0.457299[/C][/ROW]
[ROW][C]36[/C][C]0.006871[/C][C]0.0579[/C][C]0.476996[/C][/ROW]
[ROW][C]37[/C][C]0.025095[/C][C]0.2115[/C][C]0.416568[/C][/ROW]
[ROW][C]38[/C][C]-0.039037[/C][C]-0.3289[/C][C]0.371588[/C][/ROW]
[ROW][C]39[/C][C]-0.00886[/C][C]-0.0747[/C][C]0.47035[/C][/ROW]
[ROW][C]40[/C][C]-0.147712[/C][C]-1.2446[/C][C]0.108679[/C][/ROW]
[ROW][C]41[/C][C]-0.017809[/C][C]-0.1501[/C][C]0.44057[/C][/ROW]
[ROW][C]42[/C][C]0.00043[/C][C]0.0036[/C][C]0.498558[/C][/ROW]
[ROW][C]43[/C][C]0.010352[/C][C]0.0872[/C][C]0.465367[/C][/ROW]
[ROW][C]44[/C][C]-0.01114[/C][C]-0.0939[/C][C]0.462741[/C][/ROW]
[ROW][C]45[/C][C]0.021394[/C][C]0.1803[/C][C]0.428726[/C][/ROW]
[ROW][C]46[/C][C]-0.02739[/C][C]-0.2308[/C][C]0.40907[/C][/ROW]
[ROW][C]47[/C][C]0.009123[/C][C]0.0769[/C][C]0.469472[/C][/ROW]
[ROW][C]48[/C][C]-0.053904[/C][C]-0.4542[/C][C]0.325533[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=194122&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=194122&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
10.39063.29130.000778
20.0378920.31930.375223
3-0.111407-0.93870.175525
40.0405980.34210.36665
50.0541210.4560.324878
6-0.094349-0.7950.214631
70.0196490.16560.434483
8-0.237501-2.00120.024596
9-0.054111-0.45590.32491
10-0.063967-0.5390.295787
110.1040720.87690.191742
12-0.090328-0.76110.224553
13-0.219373-1.84850.034349
140.0296160.24960.401827
15-0.109106-0.91930.180514
16-0.085183-0.71780.23763
170.0513610.43280.333244
18-0.041765-0.35190.362972
19-0.027805-0.23430.407719
20-0.022823-0.19230.424025
21-0.117887-0.99330.16196
22-0.07815-0.65850.256171
230.0396810.33440.369548
24-0.158287-1.33380.093274
25-0.18311-1.54290.063649
260.0552370.46540.321521
27-0.068663-0.57860.282357
28-0.054639-0.46040.323321
290.0898890.75740.225653
30-0.080434-0.67780.250066
31-8.4e-05-7e-040.49972
32-0.058774-0.49520.31098
33-0.059331-0.49990.309334
34-0.040264-0.33930.367704
35-0.012773-0.10760.457299
360.0068710.05790.476996
370.0250950.21150.416568
38-0.039037-0.32890.371588
39-0.00886-0.07470.47035
40-0.147712-1.24460.108679
41-0.017809-0.15010.44057
420.000430.00360.498558
430.0103520.08720.465367
44-0.01114-0.09390.462741
450.0213940.18030.428726
46-0.02739-0.23080.40907
470.0091230.07690.469472
48-0.053904-0.45420.325533



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ; par8 = ;
R code (references can be found in the software module):
par8 <- ''
par7 <- '0.95'
par6 <- 'White Noise'
par5 <- '12'
par4 <- '0'
par3 <- '0'
par2 <- '1'
par1 <- '48'
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')