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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationSun, 16 Dec 2007 07:52:28 -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/16/t1197815851mbt9rhape7sjl1o.htm/, Retrieved Thu, 02 May 2024 00:35:26 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=4197, Retrieved Thu, 02 May 2024 00:35:26 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsd=0 D=0 energieprijzen
Estimated Impact163
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Autocorrelation F...] [2007-12-16 14:52:28] [0eafefa7b02d47065fceb6c46f54fbf9] [Current]
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Dataseries X:
104,3
103,9
103,9
103,9
108,0
108,0
108,0
108,0
108,0
108,0
108,0
108,0
108,0
108,0
108,0
108,0
108,0
108,0
108,0
108,0
108,0
108,0
108,0
108,0
108,0
108,0
108,0
108,2
112,3
111,3
111,3
115,3
117,2
118,3
118,3
118,3
119,0
120,6
122,6
122,6
127,4
125,9
121,5
118,8
121,6
122,3
122,7
120,8
120,1
120,1
120,1
120,1
128,4
129,8
129,8
128,6
128,6
133,7
130,0
125,9
129,4
129,4
130,6
130,6
130,6
130,8
129,7
125,8
126,0
125,6
125,4
124,7
126,9
129,1




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=4197&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=4197&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4197&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
018.60230
10.950988.18060
20.9023317.76210
30.8673387.46110
40.831277.15090
50.8005396.88650
60.7652846.58320
70.7360456.33170
80.7039816.05590
90.6558375.64170
100.6083155.23291e-06
110.5718844.91953e-06
120.5405824.65037e-06
130.4987824.29072.7e-05
140.4524983.89250.000108
150.421933.62960.00026
160.3934323.38440.000572
170.3495843.00720.0018
180.3100252.66690.004698
190.2747992.36390.010355
200.2396992.0620.021361
210.1957571.6840.048201
220.1479751.27290.103515
230.1151620.99070.16254
240.0847780.72930.234063
250.0430420.37030.356123
26-0.002385-0.02050.508157
27-0.050326-0.43290.666833
28-0.097348-0.83740.797474
29-0.135299-1.16390.875895
30-0.180051-1.54890.937159
31-0.214517-1.84530.965506
32-0.23943-2.05970.978525
33-0.272037-2.34010.989013
34-0.307278-2.64330.994992
35-0.335354-2.88480.997436
36-0.362751-3.12050.998713
37-0.386264-3.32280.999306
38-0.402762-3.46470.999557
39-0.410187-3.52860.999639
40-0.412902-3.55190.999665
41-0.407889-3.50880.999615
42-0.406701-3.49860.999602
43-0.413329-3.55560.999669
44-0.41611-3.57950.999694
45-0.413414-3.55630.99967
46-0.412563-3.5490.999662
47-0.403446-3.47060.999565

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 8.6023 & 0 \tabularnewline
1 & 0.95098 & 8.1806 & 0 \tabularnewline
2 & 0.902331 & 7.7621 & 0 \tabularnewline
3 & 0.867338 & 7.4611 & 0 \tabularnewline
4 & 0.83127 & 7.1509 & 0 \tabularnewline
5 & 0.800539 & 6.8865 & 0 \tabularnewline
6 & 0.765284 & 6.5832 & 0 \tabularnewline
7 & 0.736045 & 6.3317 & 0 \tabularnewline
8 & 0.703981 & 6.0559 & 0 \tabularnewline
9 & 0.655837 & 5.6417 & 0 \tabularnewline
10 & 0.608315 & 5.2329 & 1e-06 \tabularnewline
11 & 0.571884 & 4.9195 & 3e-06 \tabularnewline
12 & 0.540582 & 4.6503 & 7e-06 \tabularnewline
13 & 0.498782 & 4.2907 & 2.7e-05 \tabularnewline
14 & 0.452498 & 3.8925 & 0.000108 \tabularnewline
15 & 0.42193 & 3.6296 & 0.00026 \tabularnewline
16 & 0.393432 & 3.3844 & 0.000572 \tabularnewline
17 & 0.349584 & 3.0072 & 0.0018 \tabularnewline
18 & 0.310025 & 2.6669 & 0.004698 \tabularnewline
19 & 0.274799 & 2.3639 & 0.010355 \tabularnewline
20 & 0.239699 & 2.062 & 0.021361 \tabularnewline
21 & 0.195757 & 1.684 & 0.048201 \tabularnewline
22 & 0.147975 & 1.2729 & 0.103515 \tabularnewline
23 & 0.115162 & 0.9907 & 0.16254 \tabularnewline
24 & 0.084778 & 0.7293 & 0.234063 \tabularnewline
25 & 0.043042 & 0.3703 & 0.356123 \tabularnewline
26 & -0.002385 & -0.0205 & 0.508157 \tabularnewline
27 & -0.050326 & -0.4329 & 0.666833 \tabularnewline
28 & -0.097348 & -0.8374 & 0.797474 \tabularnewline
29 & -0.135299 & -1.1639 & 0.875895 \tabularnewline
30 & -0.180051 & -1.5489 & 0.937159 \tabularnewline
31 & -0.214517 & -1.8453 & 0.965506 \tabularnewline
32 & -0.23943 & -2.0597 & 0.978525 \tabularnewline
33 & -0.272037 & -2.3401 & 0.989013 \tabularnewline
34 & -0.307278 & -2.6433 & 0.994992 \tabularnewline
35 & -0.335354 & -2.8848 & 0.997436 \tabularnewline
36 & -0.362751 & -3.1205 & 0.998713 \tabularnewline
37 & -0.386264 & -3.3228 & 0.999306 \tabularnewline
38 & -0.402762 & -3.4647 & 0.999557 \tabularnewline
39 & -0.410187 & -3.5286 & 0.999639 \tabularnewline
40 & -0.412902 & -3.5519 & 0.999665 \tabularnewline
41 & -0.407889 & -3.5088 & 0.999615 \tabularnewline
42 & -0.406701 & -3.4986 & 0.999602 \tabularnewline
43 & -0.413329 & -3.5556 & 0.999669 \tabularnewline
44 & -0.41611 & -3.5795 & 0.999694 \tabularnewline
45 & -0.413414 & -3.5563 & 0.99967 \tabularnewline
46 & -0.412563 & -3.549 & 0.999662 \tabularnewline
47 & -0.403446 & -3.4706 & 0.999565 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4197&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]8.6023[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.95098[/C][C]8.1806[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.902331[/C][C]7.7621[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.867338[/C][C]7.4611[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.83127[/C][C]7.1509[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.800539[/C][C]6.8865[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.765284[/C][C]6.5832[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.736045[/C][C]6.3317[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.703981[/C][C]6.0559[/C][C]0[/C][/ROW]
[ROW][C]9[/C][C]0.655837[/C][C]5.6417[/C][C]0[/C][/ROW]
[ROW][C]10[/C][C]0.608315[/C][C]5.2329[/C][C]1e-06[/C][/ROW]
[ROW][C]11[/C][C]0.571884[/C][C]4.9195[/C][C]3e-06[/C][/ROW]
[ROW][C]12[/C][C]0.540582[/C][C]4.6503[/C][C]7e-06[/C][/ROW]
[ROW][C]13[/C][C]0.498782[/C][C]4.2907[/C][C]2.7e-05[/C][/ROW]
[ROW][C]14[/C][C]0.452498[/C][C]3.8925[/C][C]0.000108[/C][/ROW]
[ROW][C]15[/C][C]0.42193[/C][C]3.6296[/C][C]0.00026[/C][/ROW]
[ROW][C]16[/C][C]0.393432[/C][C]3.3844[/C][C]0.000572[/C][/ROW]
[ROW][C]17[/C][C]0.349584[/C][C]3.0072[/C][C]0.0018[/C][/ROW]
[ROW][C]18[/C][C]0.310025[/C][C]2.6669[/C][C]0.004698[/C][/ROW]
[ROW][C]19[/C][C]0.274799[/C][C]2.3639[/C][C]0.010355[/C][/ROW]
[ROW][C]20[/C][C]0.239699[/C][C]2.062[/C][C]0.021361[/C][/ROW]
[ROW][C]21[/C][C]0.195757[/C][C]1.684[/C][C]0.048201[/C][/ROW]
[ROW][C]22[/C][C]0.147975[/C][C]1.2729[/C][C]0.103515[/C][/ROW]
[ROW][C]23[/C][C]0.115162[/C][C]0.9907[/C][C]0.16254[/C][/ROW]
[ROW][C]24[/C][C]0.084778[/C][C]0.7293[/C][C]0.234063[/C][/ROW]
[ROW][C]25[/C][C]0.043042[/C][C]0.3703[/C][C]0.356123[/C][/ROW]
[ROW][C]26[/C][C]-0.002385[/C][C]-0.0205[/C][C]0.508157[/C][/ROW]
[ROW][C]27[/C][C]-0.050326[/C][C]-0.4329[/C][C]0.666833[/C][/ROW]
[ROW][C]28[/C][C]-0.097348[/C][C]-0.8374[/C][C]0.797474[/C][/ROW]
[ROW][C]29[/C][C]-0.135299[/C][C]-1.1639[/C][C]0.875895[/C][/ROW]
[ROW][C]30[/C][C]-0.180051[/C][C]-1.5489[/C][C]0.937159[/C][/ROW]
[ROW][C]31[/C][C]-0.214517[/C][C]-1.8453[/C][C]0.965506[/C][/ROW]
[ROW][C]32[/C][C]-0.23943[/C][C]-2.0597[/C][C]0.978525[/C][/ROW]
[ROW][C]33[/C][C]-0.272037[/C][C]-2.3401[/C][C]0.989013[/C][/ROW]
[ROW][C]34[/C][C]-0.307278[/C][C]-2.6433[/C][C]0.994992[/C][/ROW]
[ROW][C]35[/C][C]-0.335354[/C][C]-2.8848[/C][C]0.997436[/C][/ROW]
[ROW][C]36[/C][C]-0.362751[/C][C]-3.1205[/C][C]0.998713[/C][/ROW]
[ROW][C]37[/C][C]-0.386264[/C][C]-3.3228[/C][C]0.999306[/C][/ROW]
[ROW][C]38[/C][C]-0.402762[/C][C]-3.4647[/C][C]0.999557[/C][/ROW]
[ROW][C]39[/C][C]-0.410187[/C][C]-3.5286[/C][C]0.999639[/C][/ROW]
[ROW][C]40[/C][C]-0.412902[/C][C]-3.5519[/C][C]0.999665[/C][/ROW]
[ROW][C]41[/C][C]-0.407889[/C][C]-3.5088[/C][C]0.999615[/C][/ROW]
[ROW][C]42[/C][C]-0.406701[/C][C]-3.4986[/C][C]0.999602[/C][/ROW]
[ROW][C]43[/C][C]-0.413329[/C][C]-3.5556[/C][C]0.999669[/C][/ROW]
[ROW][C]44[/C][C]-0.41611[/C][C]-3.5795[/C][C]0.999694[/C][/ROW]
[ROW][C]45[/C][C]-0.413414[/C][C]-3.5563[/C][C]0.99967[/C][/ROW]
[ROW][C]46[/C][C]-0.412563[/C][C]-3.549[/C][C]0.999662[/C][/ROW]
[ROW][C]47[/C][C]-0.403446[/C][C]-3.4706[/C][C]0.999565[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4197&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4197&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
018.60230
10.950988.18060
20.9023317.76210
30.8673387.46110
40.831277.15090
50.8005396.88650
60.7652846.58320
70.7360456.33170
80.7039816.05590
90.6558375.64170
100.6083155.23291e-06
110.5718844.91953e-06
120.5405824.65037e-06
130.4987824.29072.7e-05
140.4524983.89250.000108
150.421933.62960.00026
160.3934323.38440.000572
170.3495843.00720.0018
180.3100252.66690.004698
190.2747992.36390.010355
200.2396992.0620.021361
210.1957571.6840.048201
220.1479751.27290.103515
230.1151620.99070.16254
240.0847780.72930.234063
250.0430420.37030.356123
26-0.002385-0.02050.508157
27-0.050326-0.43290.666833
28-0.097348-0.83740.797474
29-0.135299-1.16390.875895
30-0.180051-1.54890.937159
31-0.214517-1.84530.965506
32-0.23943-2.05970.978525
33-0.272037-2.34010.989013
34-0.307278-2.64330.994992
35-0.335354-2.88480.997436
36-0.362751-3.12050.998713
37-0.386264-3.32280.999306
38-0.402762-3.46470.999557
39-0.410187-3.52860.999639
40-0.412902-3.55190.999665
41-0.407889-3.50880.999615
42-0.406701-3.49860.999602
43-0.413329-3.55560.999669
44-0.41611-3.57950.999694
45-0.413414-3.55630.99967
46-0.412563-3.5490.999662
47-0.403446-3.47060.999565







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.950988.18060
1-0.021251-0.18280.572277
20.1173011.00910.158118
3-0.029934-0.25750.601247
40.0562690.4840.314893
5-0.068864-0.59240.722304
60.0637640.54850.292495
7-0.064904-0.55830.710847
8-0.163616-1.40750.918264
9-0.039996-0.34410.63411
100.059660.51320.304664
110.0240790.20710.418237
12-0.123406-1.06160.854061
13-0.056087-0.48250.684555
140.1125620.96830.168026
150.0031420.0270.489255
16-0.144001-1.23870.890322
170.0222920.19180.424227
18-0.026652-0.22930.590354
19-0.034804-0.29940.617261
20-0.101465-0.87280.807211
21-0.043435-0.37360.645131
220.0440580.3790.352886
23-0.023844-0.20510.580977
24-0.083348-0.7170.762181
25-0.063953-0.55010.708063
26-0.126515-1.08830.860007
27-0.07086-0.60960.727989
280.1161390.99910.160509
29-0.117818-1.01350.84294
30-0.012938-0.11130.544158
310.0463140.39840.345739
32-0.002542-0.02190.508693
33-0.065608-0.56440.7129
340.0165160.14210.443704
35-0.072188-0.6210.731741
360.0382270.32880.371603
370.0659580.56740.286083
380.0472860.40680.342675
390.0125060.10760.457311
400.1099120.94550.17374
41-0.011142-0.09590.538051
42-0.073622-0.63330.73576
43-0.036679-0.31550.623373
440.0428510.36860.356733
450.0102170.08790.465099
460.0268770.23120.408897
47-0.095873-0.82470.793912

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.95098 & 8.1806 & 0 \tabularnewline
1 & -0.021251 & -0.1828 & 0.572277 \tabularnewline
2 & 0.117301 & 1.0091 & 0.158118 \tabularnewline
3 & -0.029934 & -0.2575 & 0.601247 \tabularnewline
4 & 0.056269 & 0.484 & 0.314893 \tabularnewline
5 & -0.068864 & -0.5924 & 0.722304 \tabularnewline
6 & 0.063764 & 0.5485 & 0.292495 \tabularnewline
7 & -0.064904 & -0.5583 & 0.710847 \tabularnewline
8 & -0.163616 & -1.4075 & 0.918264 \tabularnewline
9 & -0.039996 & -0.3441 & 0.63411 \tabularnewline
10 & 0.05966 & 0.5132 & 0.304664 \tabularnewline
11 & 0.024079 & 0.2071 & 0.418237 \tabularnewline
12 & -0.123406 & -1.0616 & 0.854061 \tabularnewline
13 & -0.056087 & -0.4825 & 0.684555 \tabularnewline
14 & 0.112562 & 0.9683 & 0.168026 \tabularnewline
15 & 0.003142 & 0.027 & 0.489255 \tabularnewline
16 & -0.144001 & -1.2387 & 0.890322 \tabularnewline
17 & 0.022292 & 0.1918 & 0.424227 \tabularnewline
18 & -0.026652 & -0.2293 & 0.590354 \tabularnewline
19 & -0.034804 & -0.2994 & 0.617261 \tabularnewline
20 & -0.101465 & -0.8728 & 0.807211 \tabularnewline
21 & -0.043435 & -0.3736 & 0.645131 \tabularnewline
22 & 0.044058 & 0.379 & 0.352886 \tabularnewline
23 & -0.023844 & -0.2051 & 0.580977 \tabularnewline
24 & -0.083348 & -0.717 & 0.762181 \tabularnewline
25 & -0.063953 & -0.5501 & 0.708063 \tabularnewline
26 & -0.126515 & -1.0883 & 0.860007 \tabularnewline
27 & -0.07086 & -0.6096 & 0.727989 \tabularnewline
28 & 0.116139 & 0.9991 & 0.160509 \tabularnewline
29 & -0.117818 & -1.0135 & 0.84294 \tabularnewline
30 & -0.012938 & -0.1113 & 0.544158 \tabularnewline
31 & 0.046314 & 0.3984 & 0.345739 \tabularnewline
32 & -0.002542 & -0.0219 & 0.508693 \tabularnewline
33 & -0.065608 & -0.5644 & 0.7129 \tabularnewline
34 & 0.016516 & 0.1421 & 0.443704 \tabularnewline
35 & -0.072188 & -0.621 & 0.731741 \tabularnewline
36 & 0.038227 & 0.3288 & 0.371603 \tabularnewline
37 & 0.065958 & 0.5674 & 0.286083 \tabularnewline
38 & 0.047286 & 0.4068 & 0.342675 \tabularnewline
39 & 0.012506 & 0.1076 & 0.457311 \tabularnewline
40 & 0.109912 & 0.9455 & 0.17374 \tabularnewline
41 & -0.011142 & -0.0959 & 0.538051 \tabularnewline
42 & -0.073622 & -0.6333 & 0.73576 \tabularnewline
43 & -0.036679 & -0.3155 & 0.623373 \tabularnewline
44 & 0.042851 & 0.3686 & 0.356733 \tabularnewline
45 & 0.010217 & 0.0879 & 0.465099 \tabularnewline
46 & 0.026877 & 0.2312 & 0.408897 \tabularnewline
47 & -0.095873 & -0.8247 & 0.793912 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4197&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]0.95098[/C][C]8.1806[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]-0.021251[/C][C]-0.1828[/C][C]0.572277[/C][/ROW]
[ROW][C]2[/C][C]0.117301[/C][C]1.0091[/C][C]0.158118[/C][/ROW]
[ROW][C]3[/C][C]-0.029934[/C][C]-0.2575[/C][C]0.601247[/C][/ROW]
[ROW][C]4[/C][C]0.056269[/C][C]0.484[/C][C]0.314893[/C][/ROW]
[ROW][C]5[/C][C]-0.068864[/C][C]-0.5924[/C][C]0.722304[/C][/ROW]
[ROW][C]6[/C][C]0.063764[/C][C]0.5485[/C][C]0.292495[/C][/ROW]
[ROW][C]7[/C][C]-0.064904[/C][C]-0.5583[/C][C]0.710847[/C][/ROW]
[ROW][C]8[/C][C]-0.163616[/C][C]-1.4075[/C][C]0.918264[/C][/ROW]
[ROW][C]9[/C][C]-0.039996[/C][C]-0.3441[/C][C]0.63411[/C][/ROW]
[ROW][C]10[/C][C]0.05966[/C][C]0.5132[/C][C]0.304664[/C][/ROW]
[ROW][C]11[/C][C]0.024079[/C][C]0.2071[/C][C]0.418237[/C][/ROW]
[ROW][C]12[/C][C]-0.123406[/C][C]-1.0616[/C][C]0.854061[/C][/ROW]
[ROW][C]13[/C][C]-0.056087[/C][C]-0.4825[/C][C]0.684555[/C][/ROW]
[ROW][C]14[/C][C]0.112562[/C][C]0.9683[/C][C]0.168026[/C][/ROW]
[ROW][C]15[/C][C]0.003142[/C][C]0.027[/C][C]0.489255[/C][/ROW]
[ROW][C]16[/C][C]-0.144001[/C][C]-1.2387[/C][C]0.890322[/C][/ROW]
[ROW][C]17[/C][C]0.022292[/C][C]0.1918[/C][C]0.424227[/C][/ROW]
[ROW][C]18[/C][C]-0.026652[/C][C]-0.2293[/C][C]0.590354[/C][/ROW]
[ROW][C]19[/C][C]-0.034804[/C][C]-0.2994[/C][C]0.617261[/C][/ROW]
[ROW][C]20[/C][C]-0.101465[/C][C]-0.8728[/C][C]0.807211[/C][/ROW]
[ROW][C]21[/C][C]-0.043435[/C][C]-0.3736[/C][C]0.645131[/C][/ROW]
[ROW][C]22[/C][C]0.044058[/C][C]0.379[/C][C]0.352886[/C][/ROW]
[ROW][C]23[/C][C]-0.023844[/C][C]-0.2051[/C][C]0.580977[/C][/ROW]
[ROW][C]24[/C][C]-0.083348[/C][C]-0.717[/C][C]0.762181[/C][/ROW]
[ROW][C]25[/C][C]-0.063953[/C][C]-0.5501[/C][C]0.708063[/C][/ROW]
[ROW][C]26[/C][C]-0.126515[/C][C]-1.0883[/C][C]0.860007[/C][/ROW]
[ROW][C]27[/C][C]-0.07086[/C][C]-0.6096[/C][C]0.727989[/C][/ROW]
[ROW][C]28[/C][C]0.116139[/C][C]0.9991[/C][C]0.160509[/C][/ROW]
[ROW][C]29[/C][C]-0.117818[/C][C]-1.0135[/C][C]0.84294[/C][/ROW]
[ROW][C]30[/C][C]-0.012938[/C][C]-0.1113[/C][C]0.544158[/C][/ROW]
[ROW][C]31[/C][C]0.046314[/C][C]0.3984[/C][C]0.345739[/C][/ROW]
[ROW][C]32[/C][C]-0.002542[/C][C]-0.0219[/C][C]0.508693[/C][/ROW]
[ROW][C]33[/C][C]-0.065608[/C][C]-0.5644[/C][C]0.7129[/C][/ROW]
[ROW][C]34[/C][C]0.016516[/C][C]0.1421[/C][C]0.443704[/C][/ROW]
[ROW][C]35[/C][C]-0.072188[/C][C]-0.621[/C][C]0.731741[/C][/ROW]
[ROW][C]36[/C][C]0.038227[/C][C]0.3288[/C][C]0.371603[/C][/ROW]
[ROW][C]37[/C][C]0.065958[/C][C]0.5674[/C][C]0.286083[/C][/ROW]
[ROW][C]38[/C][C]0.047286[/C][C]0.4068[/C][C]0.342675[/C][/ROW]
[ROW][C]39[/C][C]0.012506[/C][C]0.1076[/C][C]0.457311[/C][/ROW]
[ROW][C]40[/C][C]0.109912[/C][C]0.9455[/C][C]0.17374[/C][/ROW]
[ROW][C]41[/C][C]-0.011142[/C][C]-0.0959[/C][C]0.538051[/C][/ROW]
[ROW][C]42[/C][C]-0.073622[/C][C]-0.6333[/C][C]0.73576[/C][/ROW]
[ROW][C]43[/C][C]-0.036679[/C][C]-0.3155[/C][C]0.623373[/C][/ROW]
[ROW][C]44[/C][C]0.042851[/C][C]0.3686[/C][C]0.356733[/C][/ROW]
[ROW][C]45[/C][C]0.010217[/C][C]0.0879[/C][C]0.465099[/C][/ROW]
[ROW][C]46[/C][C]0.026877[/C][C]0.2312[/C][C]0.408897[/C][/ROW]
[ROW][C]47[/C][C]-0.095873[/C][C]-0.8247[/C][C]0.793912[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4197&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4197&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
00.950988.18060
1-0.021251-0.18280.572277
20.1173011.00910.158118
3-0.029934-0.25750.601247
40.0562690.4840.314893
5-0.068864-0.59240.722304
60.0637640.54850.292495
7-0.064904-0.55830.710847
8-0.163616-1.40750.918264
9-0.039996-0.34410.63411
100.059660.51320.304664
110.0240790.20710.418237
12-0.123406-1.06160.854061
13-0.056087-0.48250.684555
140.1125620.96830.168026
150.0031420.0270.489255
16-0.144001-1.23870.890322
170.0222920.19180.424227
18-0.026652-0.22930.590354
19-0.034804-0.29940.617261
20-0.101465-0.87280.807211
21-0.043435-0.37360.645131
220.0440580.3790.352886
23-0.023844-0.20510.580977
24-0.083348-0.7170.762181
25-0.063953-0.55010.708063
26-0.126515-1.08830.860007
27-0.07086-0.60960.727989
280.1161390.99910.160509
29-0.117818-1.01350.84294
30-0.012938-0.11130.544158
310.0463140.39840.345739
32-0.002542-0.02190.508693
33-0.065608-0.56440.7129
340.0165160.14210.443704
35-0.072188-0.6210.731741
360.0382270.32880.371603
370.0659580.56740.286083
380.0472860.40680.342675
390.0125060.10760.457311
400.1099120.94550.17374
41-0.011142-0.09590.538051
42-0.073622-0.63330.73576
43-0.036679-0.31550.623373
440.0428510.36860.356733
450.0102170.08790.465099
460.0268770.23120.408897
47-0.095873-0.82470.793912



Parameters (Session):
par1 = 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')