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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationWed, 28 Nov 2007 08:54:46 -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/Nov/28/t11962647725mzfgoeoxcy3k75.htm/, Retrieved Thu, 02 May 2024 11:28:36 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7106, Retrieved Thu, 02 May 2024 11:28:36 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact185
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Stationarity in t...] [2007-11-28 15:54:46] [fea8286ffce1c0d00dd375fb36de4323] [Current]
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Dataseries X:
98.8
100.5
110.4
96.4
101.9
106.2
81.0
94.7
101.0
109.4
102.3
90.7
96.2
96.1
106.0
103.1
102.0
104.7
86.0
92.1
106.9
112.6
101.7
92.0
97.4
97.0
105.4
102.7
98.1
104.5
87.4
89.9
109.8
111.7
98.6
96.9
95.1
97.0
112.7
102.9
97.4
111.4
87.4
96.8
114.1
110.3
103.9
101.6
94.6
95.9
104.7
102.8
98.1
113.9
80.9
95.7
113.2
105.9
108.8
102.3
99.0
100.7
115.5
100.7
109.9
114.6
85.4
100.5
114.8
116.5
112.9
102.0
106.0
105.3
118.8
106.1
109.3
117.2
91.9
103.9
115.9




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7106&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7106&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7106&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 time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Autocorrelation Function
Time lag kACF(k)T-STATP-value
0190
10.0879040.79110.215587
2-0.218261-1.96440.973541
30.0342490.30820.379346
4-0.099456-0.89510.813307
50.258012.32210.01137
60.4162573.74630.000167
70.1939881.74590.04231
8-0.078341-0.70510.758605
9-0.065536-0.58980.721524
10-0.253035-2.27730.987298
110.091810.82630.205534
120.7207376.48660
130.0001820.00160.49935
14-0.238651-2.14790.982643
15-0.039473-0.35530.638339
16-0.147397-1.32660.905811
170.1533621.38030.085653
180.2913352.6220.00522
190.0918930.8270.205324
20-0.094449-0.850.801095
21-0.091361-0.82230.793326
22-0.272515-2.45260.991835
230.0601660.54150.294827
240.5200144.68016e-06
25-0.041456-0.37310.644979
26-0.187588-1.68830.952399
27-0.072145-0.64930.74101
28-0.163518-1.47170.927506
290.1031690.92850.177949
300.1830831.64770.051639
310.0810170.72920.234005
32-0.059389-0.53450.702771
33-0.12955-1.16590.876472
34-0.232442-2.0920.980214
350.0093890.08450.466432
360.3813163.43180.000473
37-0.043076-0.38770.650366
38-0.179926-1.61930.945368
39-0.074792-0.67310.748608
40-0.177205-1.59480.942679
410.0383810.34540.365334
420.1087760.9790.165252
430.0397480.35770.360736
44-0.052277-0.47050.680367
45-0.151059-1.35950.911124
46-0.194748-1.75270.958284
47-0.013169-0.11850.547025

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 9 & 0 \tabularnewline
1 & 0.087904 & 0.7911 & 0.215587 \tabularnewline
2 & -0.218261 & -1.9644 & 0.973541 \tabularnewline
3 & 0.034249 & 0.3082 & 0.379346 \tabularnewline
4 & -0.099456 & -0.8951 & 0.813307 \tabularnewline
5 & 0.25801 & 2.3221 & 0.01137 \tabularnewline
6 & 0.416257 & 3.7463 & 0.000167 \tabularnewline
7 & 0.193988 & 1.7459 & 0.04231 \tabularnewline
8 & -0.078341 & -0.7051 & 0.758605 \tabularnewline
9 & -0.065536 & -0.5898 & 0.721524 \tabularnewline
10 & -0.253035 & -2.2773 & 0.987298 \tabularnewline
11 & 0.09181 & 0.8263 & 0.205534 \tabularnewline
12 & 0.720737 & 6.4866 & 0 \tabularnewline
13 & 0.000182 & 0.0016 & 0.49935 \tabularnewline
14 & -0.238651 & -2.1479 & 0.982643 \tabularnewline
15 & -0.039473 & -0.3553 & 0.638339 \tabularnewline
16 & -0.147397 & -1.3266 & 0.905811 \tabularnewline
17 & 0.153362 & 1.3803 & 0.085653 \tabularnewline
18 & 0.291335 & 2.622 & 0.00522 \tabularnewline
19 & 0.091893 & 0.827 & 0.205324 \tabularnewline
20 & -0.094449 & -0.85 & 0.801095 \tabularnewline
21 & -0.091361 & -0.8223 & 0.793326 \tabularnewline
22 & -0.272515 & -2.4526 & 0.991835 \tabularnewline
23 & 0.060166 & 0.5415 & 0.294827 \tabularnewline
24 & 0.520014 & 4.6801 & 6e-06 \tabularnewline
25 & -0.041456 & -0.3731 & 0.644979 \tabularnewline
26 & -0.187588 & -1.6883 & 0.952399 \tabularnewline
27 & -0.072145 & -0.6493 & 0.74101 \tabularnewline
28 & -0.163518 & -1.4717 & 0.927506 \tabularnewline
29 & 0.103169 & 0.9285 & 0.177949 \tabularnewline
30 & 0.183083 & 1.6477 & 0.051639 \tabularnewline
31 & 0.081017 & 0.7292 & 0.234005 \tabularnewline
32 & -0.059389 & -0.5345 & 0.702771 \tabularnewline
33 & -0.12955 & -1.1659 & 0.876472 \tabularnewline
34 & -0.232442 & -2.092 & 0.980214 \tabularnewline
35 & 0.009389 & 0.0845 & 0.466432 \tabularnewline
36 & 0.381316 & 3.4318 & 0.000473 \tabularnewline
37 & -0.043076 & -0.3877 & 0.650366 \tabularnewline
38 & -0.179926 & -1.6193 & 0.945368 \tabularnewline
39 & -0.074792 & -0.6731 & 0.748608 \tabularnewline
40 & -0.177205 & -1.5948 & 0.942679 \tabularnewline
41 & 0.038381 & 0.3454 & 0.365334 \tabularnewline
42 & 0.108776 & 0.979 & 0.165252 \tabularnewline
43 & 0.039748 & 0.3577 & 0.360736 \tabularnewline
44 & -0.052277 & -0.4705 & 0.680367 \tabularnewline
45 & -0.151059 & -1.3595 & 0.911124 \tabularnewline
46 & -0.194748 & -1.7527 & 0.958284 \tabularnewline
47 & -0.013169 & -0.1185 & 0.547025 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7106&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]9[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.087904[/C][C]0.7911[/C][C]0.215587[/C][/ROW]
[ROW][C]2[/C][C]-0.218261[/C][C]-1.9644[/C][C]0.973541[/C][/ROW]
[ROW][C]3[/C][C]0.034249[/C][C]0.3082[/C][C]0.379346[/C][/ROW]
[ROW][C]4[/C][C]-0.099456[/C][C]-0.8951[/C][C]0.813307[/C][/ROW]
[ROW][C]5[/C][C]0.25801[/C][C]2.3221[/C][C]0.01137[/C][/ROW]
[ROW][C]6[/C][C]0.416257[/C][C]3.7463[/C][C]0.000167[/C][/ROW]
[ROW][C]7[/C][C]0.193988[/C][C]1.7459[/C][C]0.04231[/C][/ROW]
[ROW][C]8[/C][C]-0.078341[/C][C]-0.7051[/C][C]0.758605[/C][/ROW]
[ROW][C]9[/C][C]-0.065536[/C][C]-0.5898[/C][C]0.721524[/C][/ROW]
[ROW][C]10[/C][C]-0.253035[/C][C]-2.2773[/C][C]0.987298[/C][/ROW]
[ROW][C]11[/C][C]0.09181[/C][C]0.8263[/C][C]0.205534[/C][/ROW]
[ROW][C]12[/C][C]0.720737[/C][C]6.4866[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.000182[/C][C]0.0016[/C][C]0.49935[/C][/ROW]
[ROW][C]14[/C][C]-0.238651[/C][C]-2.1479[/C][C]0.982643[/C][/ROW]
[ROW][C]15[/C][C]-0.039473[/C][C]-0.3553[/C][C]0.638339[/C][/ROW]
[ROW][C]16[/C][C]-0.147397[/C][C]-1.3266[/C][C]0.905811[/C][/ROW]
[ROW][C]17[/C][C]0.153362[/C][C]1.3803[/C][C]0.085653[/C][/ROW]
[ROW][C]18[/C][C]0.291335[/C][C]2.622[/C][C]0.00522[/C][/ROW]
[ROW][C]19[/C][C]0.091893[/C][C]0.827[/C][C]0.205324[/C][/ROW]
[ROW][C]20[/C][C]-0.094449[/C][C]-0.85[/C][C]0.801095[/C][/ROW]
[ROW][C]21[/C][C]-0.091361[/C][C]-0.8223[/C][C]0.793326[/C][/ROW]
[ROW][C]22[/C][C]-0.272515[/C][C]-2.4526[/C][C]0.991835[/C][/ROW]
[ROW][C]23[/C][C]0.060166[/C][C]0.5415[/C][C]0.294827[/C][/ROW]
[ROW][C]24[/C][C]0.520014[/C][C]4.6801[/C][C]6e-06[/C][/ROW]
[ROW][C]25[/C][C]-0.041456[/C][C]-0.3731[/C][C]0.644979[/C][/ROW]
[ROW][C]26[/C][C]-0.187588[/C][C]-1.6883[/C][C]0.952399[/C][/ROW]
[ROW][C]27[/C][C]-0.072145[/C][C]-0.6493[/C][C]0.74101[/C][/ROW]
[ROW][C]28[/C][C]-0.163518[/C][C]-1.4717[/C][C]0.927506[/C][/ROW]
[ROW][C]29[/C][C]0.103169[/C][C]0.9285[/C][C]0.177949[/C][/ROW]
[ROW][C]30[/C][C]0.183083[/C][C]1.6477[/C][C]0.051639[/C][/ROW]
[ROW][C]31[/C][C]0.081017[/C][C]0.7292[/C][C]0.234005[/C][/ROW]
[ROW][C]32[/C][C]-0.059389[/C][C]-0.5345[/C][C]0.702771[/C][/ROW]
[ROW][C]33[/C][C]-0.12955[/C][C]-1.1659[/C][C]0.876472[/C][/ROW]
[ROW][C]34[/C][C]-0.232442[/C][C]-2.092[/C][C]0.980214[/C][/ROW]
[ROW][C]35[/C][C]0.009389[/C][C]0.0845[/C][C]0.466432[/C][/ROW]
[ROW][C]36[/C][C]0.381316[/C][C]3.4318[/C][C]0.000473[/C][/ROW]
[ROW][C]37[/C][C]-0.043076[/C][C]-0.3877[/C][C]0.650366[/C][/ROW]
[ROW][C]38[/C][C]-0.179926[/C][C]-1.6193[/C][C]0.945368[/C][/ROW]
[ROW][C]39[/C][C]-0.074792[/C][C]-0.6731[/C][C]0.748608[/C][/ROW]
[ROW][C]40[/C][C]-0.177205[/C][C]-1.5948[/C][C]0.942679[/C][/ROW]
[ROW][C]41[/C][C]0.038381[/C][C]0.3454[/C][C]0.365334[/C][/ROW]
[ROW][C]42[/C][C]0.108776[/C][C]0.979[/C][C]0.165252[/C][/ROW]
[ROW][C]43[/C][C]0.039748[/C][C]0.3577[/C][C]0.360736[/C][/ROW]
[ROW][C]44[/C][C]-0.052277[/C][C]-0.4705[/C][C]0.680367[/C][/ROW]
[ROW][C]45[/C][C]-0.151059[/C][C]-1.3595[/C][C]0.911124[/C][/ROW]
[ROW][C]46[/C][C]-0.194748[/C][C]-1.7527[/C][C]0.958284[/C][/ROW]
[ROW][C]47[/C][C]-0.013169[/C][C]-0.1185[/C][C]0.547025[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7106&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7106&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
0190
10.0879040.79110.215587
2-0.218261-1.96440.973541
30.0342490.30820.379346
4-0.099456-0.89510.813307
50.258012.32210.01137
60.4162573.74630.000167
70.1939881.74590.04231
8-0.078341-0.70510.758605
9-0.065536-0.58980.721524
10-0.253035-2.27730.987298
110.091810.82630.205534
120.7207376.48660
130.0001820.00160.49935
14-0.238651-2.14790.982643
15-0.039473-0.35530.638339
16-0.147397-1.32660.905811
170.1533621.38030.085653
180.2913352.6220.00522
190.0918930.8270.205324
20-0.094449-0.850.801095
21-0.091361-0.82230.793326
22-0.272515-2.45260.991835
230.0601660.54150.294827
240.5200144.68016e-06
25-0.041456-0.37310.644979
26-0.187588-1.68830.952399
27-0.072145-0.64930.74101
28-0.163518-1.47170.927506
290.1031690.92850.177949
300.1830831.64770.051639
310.0810170.72920.234005
32-0.059389-0.53450.702771
33-0.12955-1.16590.876472
34-0.232442-2.0920.980214
350.0093890.08450.466432
360.3813163.43180.000473
37-0.043076-0.38770.650366
38-0.179926-1.61930.945368
39-0.074792-0.67310.748608
40-0.177205-1.59480.942679
410.0383810.34540.365334
420.1087760.9790.165252
430.0397480.35770.360736
44-0.052277-0.47050.680367
45-0.151059-1.35950.911124
46-0.194748-1.75270.958284
47-0.013169-0.11850.547025







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.0879040.79110.215587
1-0.227748-2.04970.978187
20.0827210.74450.229368
3-0.174156-1.56740.939541
40.3529143.17620.001056
50.3098952.78910.003294
60.3805153.42460.000484
70.035030.31530.376683
80.1342811.20850.11518
9-0.526269-4.73640.999995
10-0.108405-0.97560.833928
110.4390013.9518.3e-05
12-0.064202-0.57780.717504
13-0.047572-0.42810.665159
14-0.033478-0.30130.618021
150.0811220.73010.233718
16-0.127765-1.14990.873213
17-0.093857-0.84470.799621
18-0.078473-0.70630.758974
190.0223240.20090.420634
200.132421.19180.118414
210.0025850.02330.490747
22-0.001453-0.01310.505202
23-0.027874-0.25090.598722
240.0393880.35450.361947
250.0159550.14360.443089
26-0.061117-0.55010.708103
27-0.049565-0.44610.671636
28-0.003046-0.02740.510901
29-0.069799-0.62820.734177
300.0971990.87480.192136
310.0007170.00650.497434
32-0.024016-0.21610.58529
330.0357220.32150.374331
34-0.07466-0.67190.748233
35-0.002336-0.0210.508361
36-0.106099-0.95490.828764
37-0.078655-0.70790.759477
38-0.025841-0.23260.591658
390.0105780.09520.462195
400.0119540.10760.457295
41-0.003404-0.03060.512183
42-0.012659-0.11390.545212
43-0.001051-0.00950.503761
440.0032610.02930.488331
450.0491120.4420.329831
46-0.01224-0.11020.543721
47-0.050982-0.45880.67621

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.087904 & 0.7911 & 0.215587 \tabularnewline
1 & -0.227748 & -2.0497 & 0.978187 \tabularnewline
2 & 0.082721 & 0.7445 & 0.229368 \tabularnewline
3 & -0.174156 & -1.5674 & 0.939541 \tabularnewline
4 & 0.352914 & 3.1762 & 0.001056 \tabularnewline
5 & 0.309895 & 2.7891 & 0.003294 \tabularnewline
6 & 0.380515 & 3.4246 & 0.000484 \tabularnewline
7 & 0.03503 & 0.3153 & 0.376683 \tabularnewline
8 & 0.134281 & 1.2085 & 0.11518 \tabularnewline
9 & -0.526269 & -4.7364 & 0.999995 \tabularnewline
10 & -0.108405 & -0.9756 & 0.833928 \tabularnewline
11 & 0.439001 & 3.951 & 8.3e-05 \tabularnewline
12 & -0.064202 & -0.5778 & 0.717504 \tabularnewline
13 & -0.047572 & -0.4281 & 0.665159 \tabularnewline
14 & -0.033478 & -0.3013 & 0.618021 \tabularnewline
15 & 0.081122 & 0.7301 & 0.233718 \tabularnewline
16 & -0.127765 & -1.1499 & 0.873213 \tabularnewline
17 & -0.093857 & -0.8447 & 0.799621 \tabularnewline
18 & -0.078473 & -0.7063 & 0.758974 \tabularnewline
19 & 0.022324 & 0.2009 & 0.420634 \tabularnewline
20 & 0.13242 & 1.1918 & 0.118414 \tabularnewline
21 & 0.002585 & 0.0233 & 0.490747 \tabularnewline
22 & -0.001453 & -0.0131 & 0.505202 \tabularnewline
23 & -0.027874 & -0.2509 & 0.598722 \tabularnewline
24 & 0.039388 & 0.3545 & 0.361947 \tabularnewline
25 & 0.015955 & 0.1436 & 0.443089 \tabularnewline
26 & -0.061117 & -0.5501 & 0.708103 \tabularnewline
27 & -0.049565 & -0.4461 & 0.671636 \tabularnewline
28 & -0.003046 & -0.0274 & 0.510901 \tabularnewline
29 & -0.069799 & -0.6282 & 0.734177 \tabularnewline
30 & 0.097199 & 0.8748 & 0.192136 \tabularnewline
31 & 0.000717 & 0.0065 & 0.497434 \tabularnewline
32 & -0.024016 & -0.2161 & 0.58529 \tabularnewline
33 & 0.035722 & 0.3215 & 0.374331 \tabularnewline
34 & -0.07466 & -0.6719 & 0.748233 \tabularnewline
35 & -0.002336 & -0.021 & 0.508361 \tabularnewline
36 & -0.106099 & -0.9549 & 0.828764 \tabularnewline
37 & -0.078655 & -0.7079 & 0.759477 \tabularnewline
38 & -0.025841 & -0.2326 & 0.591658 \tabularnewline
39 & 0.010578 & 0.0952 & 0.462195 \tabularnewline
40 & 0.011954 & 0.1076 & 0.457295 \tabularnewline
41 & -0.003404 & -0.0306 & 0.512183 \tabularnewline
42 & -0.012659 & -0.1139 & 0.545212 \tabularnewline
43 & -0.001051 & -0.0095 & 0.503761 \tabularnewline
44 & 0.003261 & 0.0293 & 0.488331 \tabularnewline
45 & 0.049112 & 0.442 & 0.329831 \tabularnewline
46 & -0.01224 & -0.1102 & 0.543721 \tabularnewline
47 & -0.050982 & -0.4588 & 0.67621 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7106&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]0.087904[/C][C]0.7911[/C][C]0.215587[/C][/ROW]
[ROW][C]1[/C][C]-0.227748[/C][C]-2.0497[/C][C]0.978187[/C][/ROW]
[ROW][C]2[/C][C]0.082721[/C][C]0.7445[/C][C]0.229368[/C][/ROW]
[ROW][C]3[/C][C]-0.174156[/C][C]-1.5674[/C][C]0.939541[/C][/ROW]
[ROW][C]4[/C][C]0.352914[/C][C]3.1762[/C][C]0.001056[/C][/ROW]
[ROW][C]5[/C][C]0.309895[/C][C]2.7891[/C][C]0.003294[/C][/ROW]
[ROW][C]6[/C][C]0.380515[/C][C]3.4246[/C][C]0.000484[/C][/ROW]
[ROW][C]7[/C][C]0.03503[/C][C]0.3153[/C][C]0.376683[/C][/ROW]
[ROW][C]8[/C][C]0.134281[/C][C]1.2085[/C][C]0.11518[/C][/ROW]
[ROW][C]9[/C][C]-0.526269[/C][C]-4.7364[/C][C]0.999995[/C][/ROW]
[ROW][C]10[/C][C]-0.108405[/C][C]-0.9756[/C][C]0.833928[/C][/ROW]
[ROW][C]11[/C][C]0.439001[/C][C]3.951[/C][C]8.3e-05[/C][/ROW]
[ROW][C]12[/C][C]-0.064202[/C][C]-0.5778[/C][C]0.717504[/C][/ROW]
[ROW][C]13[/C][C]-0.047572[/C][C]-0.4281[/C][C]0.665159[/C][/ROW]
[ROW][C]14[/C][C]-0.033478[/C][C]-0.3013[/C][C]0.618021[/C][/ROW]
[ROW][C]15[/C][C]0.081122[/C][C]0.7301[/C][C]0.233718[/C][/ROW]
[ROW][C]16[/C][C]-0.127765[/C][C]-1.1499[/C][C]0.873213[/C][/ROW]
[ROW][C]17[/C][C]-0.093857[/C][C]-0.8447[/C][C]0.799621[/C][/ROW]
[ROW][C]18[/C][C]-0.078473[/C][C]-0.7063[/C][C]0.758974[/C][/ROW]
[ROW][C]19[/C][C]0.022324[/C][C]0.2009[/C][C]0.420634[/C][/ROW]
[ROW][C]20[/C][C]0.13242[/C][C]1.1918[/C][C]0.118414[/C][/ROW]
[ROW][C]21[/C][C]0.002585[/C][C]0.0233[/C][C]0.490747[/C][/ROW]
[ROW][C]22[/C][C]-0.001453[/C][C]-0.0131[/C][C]0.505202[/C][/ROW]
[ROW][C]23[/C][C]-0.027874[/C][C]-0.2509[/C][C]0.598722[/C][/ROW]
[ROW][C]24[/C][C]0.039388[/C][C]0.3545[/C][C]0.361947[/C][/ROW]
[ROW][C]25[/C][C]0.015955[/C][C]0.1436[/C][C]0.443089[/C][/ROW]
[ROW][C]26[/C][C]-0.061117[/C][C]-0.5501[/C][C]0.708103[/C][/ROW]
[ROW][C]27[/C][C]-0.049565[/C][C]-0.4461[/C][C]0.671636[/C][/ROW]
[ROW][C]28[/C][C]-0.003046[/C][C]-0.0274[/C][C]0.510901[/C][/ROW]
[ROW][C]29[/C][C]-0.069799[/C][C]-0.6282[/C][C]0.734177[/C][/ROW]
[ROW][C]30[/C][C]0.097199[/C][C]0.8748[/C][C]0.192136[/C][/ROW]
[ROW][C]31[/C][C]0.000717[/C][C]0.0065[/C][C]0.497434[/C][/ROW]
[ROW][C]32[/C][C]-0.024016[/C][C]-0.2161[/C][C]0.58529[/C][/ROW]
[ROW][C]33[/C][C]0.035722[/C][C]0.3215[/C][C]0.374331[/C][/ROW]
[ROW][C]34[/C][C]-0.07466[/C][C]-0.6719[/C][C]0.748233[/C][/ROW]
[ROW][C]35[/C][C]-0.002336[/C][C]-0.021[/C][C]0.508361[/C][/ROW]
[ROW][C]36[/C][C]-0.106099[/C][C]-0.9549[/C][C]0.828764[/C][/ROW]
[ROW][C]37[/C][C]-0.078655[/C][C]-0.7079[/C][C]0.759477[/C][/ROW]
[ROW][C]38[/C][C]-0.025841[/C][C]-0.2326[/C][C]0.591658[/C][/ROW]
[ROW][C]39[/C][C]0.010578[/C][C]0.0952[/C][C]0.462195[/C][/ROW]
[ROW][C]40[/C][C]0.011954[/C][C]0.1076[/C][C]0.457295[/C][/ROW]
[ROW][C]41[/C][C]-0.003404[/C][C]-0.0306[/C][C]0.512183[/C][/ROW]
[ROW][C]42[/C][C]-0.012659[/C][C]-0.1139[/C][C]0.545212[/C][/ROW]
[ROW][C]43[/C][C]-0.001051[/C][C]-0.0095[/C][C]0.503761[/C][/ROW]
[ROW][C]44[/C][C]0.003261[/C][C]0.0293[/C][C]0.488331[/C][/ROW]
[ROW][C]45[/C][C]0.049112[/C][C]0.442[/C][C]0.329831[/C][/ROW]
[ROW][C]46[/C][C]-0.01224[/C][C]-0.1102[/C][C]0.543721[/C][/ROW]
[ROW][C]47[/C][C]-0.050982[/C][C]-0.4588[/C][C]0.67621[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7106&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7106&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
00.0879040.79110.215587
1-0.227748-2.04970.978187
20.0827210.74450.229368
3-0.174156-1.56740.939541
40.3529143.17620.001056
50.3098952.78910.003294
60.3805153.42460.000484
70.035030.31530.376683
80.1342811.20850.11518
9-0.526269-4.73640.999995
10-0.108405-0.97560.833928
110.4390013.9518.3e-05
12-0.064202-0.57780.717504
13-0.047572-0.42810.665159
14-0.033478-0.30130.618021
150.0811220.73010.233718
16-0.127765-1.14990.873213
17-0.093857-0.84470.799621
18-0.078473-0.70630.758974
190.0223240.20090.420634
200.132421.19180.118414
210.0025850.02330.490747
22-0.001453-0.01310.505202
23-0.027874-0.25090.598722
240.0393880.35450.361947
250.0159550.14360.443089
26-0.061117-0.55010.708103
27-0.049565-0.44610.671636
28-0.003046-0.02740.510901
29-0.069799-0.62820.734177
300.0971990.87480.192136
310.0007170.00650.497434
32-0.024016-0.21610.58529
330.0357220.32150.374331
34-0.07466-0.67190.748233
35-0.002336-0.0210.508361
36-0.106099-0.95490.828764
37-0.078655-0.70790.759477
38-0.025841-0.23260.591658
390.0105780.09520.462195
400.0119540.10760.457295
41-0.003404-0.03060.512183
42-0.012659-0.11390.545212
43-0.001051-0.00950.503761
440.0032610.02930.488331
450.0491120.4420.329831
46-0.01224-0.11020.543721
47-0.050982-0.45880.67621



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')