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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationSat, 24 Jan 2009 11:07:07 -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/2009/Jan/24/t1232820477egymrfj2050tnci.htm/, Retrieved Tue, 07 May 2024 18:03:44 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=36946, Retrieved Tue, 07 May 2024 18:03:44 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact233
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [] [] [1970-01-01 00:00:00] [2097edf1f094fab6879a8cb46df74ec2]
- RMPD  [(Partial) Autocorrelation Function] [] [2008-12-17 12:55:33] [2097edf1f094fab6879a8cb46df74ec2]
-   PD    [(Partial) Autocorrelation Function] [Dennis Collin oef...] [2009-01-24 18:00:52] [2097edf1f094fab6879a8cb46df74ec2]
-   PD        [(Partial) Autocorrelation Function] [Dennis Collin oef...] [2009-01-24 18:07:07] [06e57c0cb32e2f613cf343ab1a0ac99f] [Current]
-   P           [(Partial) Autocorrelation Function] [Dennis Collin oef...] [2009-01-24 18:09:37] [2097edf1f094fab6879a8cb46df74ec2]
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Dataseries X:
1.29
1.29
1.3
1.3
1.3
1.3
1.31
1.31
1.31
1.31
1.31
1.32
1.32
1.32
1.32
1.33
1.33
1.33
1.34
1.34
1.34
1.34
1.34
1.34
1.34
1.35
1.36
1.36
1.36
1.37
1.37
1.37
1.37
1.37
1.37
1.37
1.38
1.38
1.38
1.39
1.4
1.4
1.4
1.4
1.41
1.42
1.43
1.43
1.43
1.44
1.45
1.45
1.46
1.46
1.47
1.47
1.47
1.48
1.49
1.49
1.49
1.5
1.51
1.51
1.51
1.52
1.52
1.52
1.52
1.53
1.53
1.53
1.53
1.54
1.54
1.55
1.55
1.55
1.56
1.56
1.58
1.58
1.58
1.58
1.58
1.58
1.59
1.59
1.6
1.6
1.6
1.61
1.62
1.62
1.63
1.63




Summary of computational 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 computational 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=36946&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]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=36946&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36946&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.9700099.50410
20.9392459.20270
30.9109968.92590
40.8816828.63870
50.8527288.3550
60.8244238.07770
70.796637.80530
80.7677727.52260
90.739377.24430
100.7101946.95840
110.681866.68080
120.6535556.40350
130.6242826.11670
140.5937515.81750
150.5621565.5080
160.5309765.20251e-06
170.5024494.9232e-06
180.4730514.63496e-06
190.4458784.36871.6e-05
200.4175454.09114.5e-05
210.3885343.80680.000124
220.3601723.5290.000321
230.3311333.24440.00081
240.3027432.96630.001902
250.2735792.68050.004326
260.2449272.39980.009167
270.2167872.12410.018117
280.1898771.86040.032944
290.1620961.58820.057763
300.1346341.31910.095131
310.10631.04150.150124
320.0790030.77410.220397
330.0510280.50.309119
340.0221830.21730.4142
35-0.00611-0.05990.476192
36-0.033271-0.3260.372573
37-0.059919-0.58710.279264
38-0.087244-0.85480.197391
39-0.11334-1.11050.134779
40-0.137016-1.34250.091303
41-0.160084-1.56850.060028
42-0.183635-1.79930.03756
43-0.20615-2.01990.023093
44-0.22944-2.2480.013431
45-0.25031-2.45250.007996
46-0.269894-2.64440.00478
47-0.286865-2.81070.002996
48-0.3028-2.96680.001899

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.970009 & 9.5041 & 0 \tabularnewline
2 & 0.939245 & 9.2027 & 0 \tabularnewline
3 & 0.910996 & 8.9259 & 0 \tabularnewline
4 & 0.881682 & 8.6387 & 0 \tabularnewline
5 & 0.852728 & 8.355 & 0 \tabularnewline
6 & 0.824423 & 8.0777 & 0 \tabularnewline
7 & 0.79663 & 7.8053 & 0 \tabularnewline
8 & 0.767772 & 7.5226 & 0 \tabularnewline
9 & 0.73937 & 7.2443 & 0 \tabularnewline
10 & 0.710194 & 6.9584 & 0 \tabularnewline
11 & 0.68186 & 6.6808 & 0 \tabularnewline
12 & 0.653555 & 6.4035 & 0 \tabularnewline
13 & 0.624282 & 6.1167 & 0 \tabularnewline
14 & 0.593751 & 5.8175 & 0 \tabularnewline
15 & 0.562156 & 5.508 & 0 \tabularnewline
16 & 0.530976 & 5.2025 & 1e-06 \tabularnewline
17 & 0.502449 & 4.923 & 2e-06 \tabularnewline
18 & 0.473051 & 4.6349 & 6e-06 \tabularnewline
19 & 0.445878 & 4.3687 & 1.6e-05 \tabularnewline
20 & 0.417545 & 4.0911 & 4.5e-05 \tabularnewline
21 & 0.388534 & 3.8068 & 0.000124 \tabularnewline
22 & 0.360172 & 3.529 & 0.000321 \tabularnewline
23 & 0.331133 & 3.2444 & 0.00081 \tabularnewline
24 & 0.302743 & 2.9663 & 0.001902 \tabularnewline
25 & 0.273579 & 2.6805 & 0.004326 \tabularnewline
26 & 0.244927 & 2.3998 & 0.009167 \tabularnewline
27 & 0.216787 & 2.1241 & 0.018117 \tabularnewline
28 & 0.189877 & 1.8604 & 0.032944 \tabularnewline
29 & 0.162096 & 1.5882 & 0.057763 \tabularnewline
30 & 0.134634 & 1.3191 & 0.095131 \tabularnewline
31 & 0.1063 & 1.0415 & 0.150124 \tabularnewline
32 & 0.079003 & 0.7741 & 0.220397 \tabularnewline
33 & 0.051028 & 0.5 & 0.309119 \tabularnewline
34 & 0.022183 & 0.2173 & 0.4142 \tabularnewline
35 & -0.00611 & -0.0599 & 0.476192 \tabularnewline
36 & -0.033271 & -0.326 & 0.372573 \tabularnewline
37 & -0.059919 & -0.5871 & 0.279264 \tabularnewline
38 & -0.087244 & -0.8548 & 0.197391 \tabularnewline
39 & -0.11334 & -1.1105 & 0.134779 \tabularnewline
40 & -0.137016 & -1.3425 & 0.091303 \tabularnewline
41 & -0.160084 & -1.5685 & 0.060028 \tabularnewline
42 & -0.183635 & -1.7993 & 0.03756 \tabularnewline
43 & -0.20615 & -2.0199 & 0.023093 \tabularnewline
44 & -0.22944 & -2.248 & 0.013431 \tabularnewline
45 & -0.25031 & -2.4525 & 0.007996 \tabularnewline
46 & -0.269894 & -2.6444 & 0.00478 \tabularnewline
47 & -0.286865 & -2.8107 & 0.002996 \tabularnewline
48 & -0.3028 & -2.9668 & 0.001899 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36946&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]0.970009[/C][C]9.5041[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.939245[/C][C]9.2027[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.910996[/C][C]8.9259[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.881682[/C][C]8.6387[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.852728[/C][C]8.355[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.824423[/C][C]8.0777[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.79663[/C][C]7.8053[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.767772[/C][C]7.5226[/C][C]0[/C][/ROW]
[ROW][C]9[/C][C]0.73937[/C][C]7.2443[/C][C]0[/C][/ROW]
[ROW][C]10[/C][C]0.710194[/C][C]6.9584[/C][C]0[/C][/ROW]
[ROW][C]11[/C][C]0.68186[/C][C]6.6808[/C][C]0[/C][/ROW]
[ROW][C]12[/C][C]0.653555[/C][C]6.4035[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.624282[/C][C]6.1167[/C][C]0[/C][/ROW]
[ROW][C]14[/C][C]0.593751[/C][C]5.8175[/C][C]0[/C][/ROW]
[ROW][C]15[/C][C]0.562156[/C][C]5.508[/C][C]0[/C][/ROW]
[ROW][C]16[/C][C]0.530976[/C][C]5.2025[/C][C]1e-06[/C][/ROW]
[ROW][C]17[/C][C]0.502449[/C][C]4.923[/C][C]2e-06[/C][/ROW]
[ROW][C]18[/C][C]0.473051[/C][C]4.6349[/C][C]6e-06[/C][/ROW]
[ROW][C]19[/C][C]0.445878[/C][C]4.3687[/C][C]1.6e-05[/C][/ROW]
[ROW][C]20[/C][C]0.417545[/C][C]4.0911[/C][C]4.5e-05[/C][/ROW]
[ROW][C]21[/C][C]0.388534[/C][C]3.8068[/C][C]0.000124[/C][/ROW]
[ROW][C]22[/C][C]0.360172[/C][C]3.529[/C][C]0.000321[/C][/ROW]
[ROW][C]23[/C][C]0.331133[/C][C]3.2444[/C][C]0.00081[/C][/ROW]
[ROW][C]24[/C][C]0.302743[/C][C]2.9663[/C][C]0.001902[/C][/ROW]
[ROW][C]25[/C][C]0.273579[/C][C]2.6805[/C][C]0.004326[/C][/ROW]
[ROW][C]26[/C][C]0.244927[/C][C]2.3998[/C][C]0.009167[/C][/ROW]
[ROW][C]27[/C][C]0.216787[/C][C]2.1241[/C][C]0.018117[/C][/ROW]
[ROW][C]28[/C][C]0.189877[/C][C]1.8604[/C][C]0.032944[/C][/ROW]
[ROW][C]29[/C][C]0.162096[/C][C]1.5882[/C][C]0.057763[/C][/ROW]
[ROW][C]30[/C][C]0.134634[/C][C]1.3191[/C][C]0.095131[/C][/ROW]
[ROW][C]31[/C][C]0.1063[/C][C]1.0415[/C][C]0.150124[/C][/ROW]
[ROW][C]32[/C][C]0.079003[/C][C]0.7741[/C][C]0.220397[/C][/ROW]
[ROW][C]33[/C][C]0.051028[/C][C]0.5[/C][C]0.309119[/C][/ROW]
[ROW][C]34[/C][C]0.022183[/C][C]0.2173[/C][C]0.4142[/C][/ROW]
[ROW][C]35[/C][C]-0.00611[/C][C]-0.0599[/C][C]0.476192[/C][/ROW]
[ROW][C]36[/C][C]-0.033271[/C][C]-0.326[/C][C]0.372573[/C][/ROW]
[ROW][C]37[/C][C]-0.059919[/C][C]-0.5871[/C][C]0.279264[/C][/ROW]
[ROW][C]38[/C][C]-0.087244[/C][C]-0.8548[/C][C]0.197391[/C][/ROW]
[ROW][C]39[/C][C]-0.11334[/C][C]-1.1105[/C][C]0.134779[/C][/ROW]
[ROW][C]40[/C][C]-0.137016[/C][C]-1.3425[/C][C]0.091303[/C][/ROW]
[ROW][C]41[/C][C]-0.160084[/C][C]-1.5685[/C][C]0.060028[/C][/ROW]
[ROW][C]42[/C][C]-0.183635[/C][C]-1.7993[/C][C]0.03756[/C][/ROW]
[ROW][C]43[/C][C]-0.20615[/C][C]-2.0199[/C][C]0.023093[/C][/ROW]
[ROW][C]44[/C][C]-0.22944[/C][C]-2.248[/C][C]0.013431[/C][/ROW]
[ROW][C]45[/C][C]-0.25031[/C][C]-2.4525[/C][C]0.007996[/C][/ROW]
[ROW][C]46[/C][C]-0.269894[/C][C]-2.6444[/C][C]0.00478[/C][/ROW]
[ROW][C]47[/C][C]-0.286865[/C][C]-2.8107[/C][C]0.002996[/C][/ROW]
[ROW][C]48[/C][C]-0.3028[/C][C]-2.9668[/C][C]0.001899[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36946&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36946&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
10.9700099.50410
20.9392459.20270
30.9109968.92590
40.8816828.63870
50.8527288.3550
60.8244238.07770
70.796637.80530
80.7677727.52260
90.739377.24430
100.7101946.95840
110.681866.68080
120.6535556.40350
130.6242826.11670
140.5937515.81750
150.5621565.5080
160.5309765.20251e-06
170.5024494.9232e-06
180.4730514.63496e-06
190.4458784.36871.6e-05
200.4175454.09114.5e-05
210.3885343.80680.000124
220.3601723.5290.000321
230.3311333.24440.00081
240.3027432.96630.001902
250.2735792.68050.004326
260.2449272.39980.009167
270.2167872.12410.018117
280.1898771.86040.032944
290.1620961.58820.057763
300.1346341.31910.095131
310.10631.04150.150124
320.0790030.77410.220397
330.0510280.50.309119
340.0221830.21730.4142
35-0.00611-0.05990.476192
36-0.033271-0.3260.372573
37-0.059919-0.58710.279264
38-0.087244-0.85480.197391
39-0.11334-1.11050.134779
40-0.137016-1.34250.091303
41-0.160084-1.56850.060028
42-0.183635-1.79930.03756
43-0.20615-2.01990.023093
44-0.22944-2.2480.013431
45-0.25031-2.45250.007996
46-0.269894-2.64440.00478
47-0.286865-2.81070.002996
48-0.3028-2.96680.001899







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9700099.50410
2-0.028327-0.27750.39098
30.0269190.26380.396269
4-0.033973-0.33290.369979
5-0.007208-0.07060.471923
6-0.006358-0.06230.475227
7-0.006196-0.06070.47586
8-0.033234-0.32560.372707
9-0.007616-0.07460.470335
10-0.031399-0.30770.379507
11-0.000751-0.00740.497072
12-0.01839-0.18020.428693
13-0.031914-0.31270.377596
14-0.039951-0.39140.34817
15-0.037522-0.36760.356975
16-0.014188-0.1390.444865
170.0246050.24110.405006
18-0.0354-0.34690.364731
190.0215730.21140.416523
20-0.043513-0.42630.335408
21-0.025819-0.2530.400415
22-0.011419-0.11190.455574
23-0.03193-0.31290.377535
24-0.010603-0.10390.458737
25-0.03563-0.34910.363888
26-0.014943-0.14640.441952
27-0.011807-0.11570.454072
28-0.002133-0.02090.491686
29-0.037932-0.37170.355485
30-0.017937-0.17580.43043
31-0.044855-0.43950.330647
32-0.004113-0.04030.48397
33-0.038675-0.37890.352785
34-0.038385-0.37610.353838
35-0.017867-0.17510.430699
36-0.012412-0.12160.451731
37-0.017637-0.17280.431585
38-0.038154-0.37380.354678
39-0.011958-0.11720.453488
400.0131680.1290.448804
41-0.02065-0.20230.420045
42-0.031266-0.30630.380005
43-0.011951-0.11710.453516
44-0.042116-0.41270.34039
450.0143580.14070.44421
46-0.00837-0.0820.467405
470.0174260.17070.432393
48-0.00847-0.0830.467016

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.970009 & 9.5041 & 0 \tabularnewline
2 & -0.028327 & -0.2775 & 0.39098 \tabularnewline
3 & 0.026919 & 0.2638 & 0.396269 \tabularnewline
4 & -0.033973 & -0.3329 & 0.369979 \tabularnewline
5 & -0.007208 & -0.0706 & 0.471923 \tabularnewline
6 & -0.006358 & -0.0623 & 0.475227 \tabularnewline
7 & -0.006196 & -0.0607 & 0.47586 \tabularnewline
8 & -0.033234 & -0.3256 & 0.372707 \tabularnewline
9 & -0.007616 & -0.0746 & 0.470335 \tabularnewline
10 & -0.031399 & -0.3077 & 0.379507 \tabularnewline
11 & -0.000751 & -0.0074 & 0.497072 \tabularnewline
12 & -0.01839 & -0.1802 & 0.428693 \tabularnewline
13 & -0.031914 & -0.3127 & 0.377596 \tabularnewline
14 & -0.039951 & -0.3914 & 0.34817 \tabularnewline
15 & -0.037522 & -0.3676 & 0.356975 \tabularnewline
16 & -0.014188 & -0.139 & 0.444865 \tabularnewline
17 & 0.024605 & 0.2411 & 0.405006 \tabularnewline
18 & -0.0354 & -0.3469 & 0.364731 \tabularnewline
19 & 0.021573 & 0.2114 & 0.416523 \tabularnewline
20 & -0.043513 & -0.4263 & 0.335408 \tabularnewline
21 & -0.025819 & -0.253 & 0.400415 \tabularnewline
22 & -0.011419 & -0.1119 & 0.455574 \tabularnewline
23 & -0.03193 & -0.3129 & 0.377535 \tabularnewline
24 & -0.010603 & -0.1039 & 0.458737 \tabularnewline
25 & -0.03563 & -0.3491 & 0.363888 \tabularnewline
26 & -0.014943 & -0.1464 & 0.441952 \tabularnewline
27 & -0.011807 & -0.1157 & 0.454072 \tabularnewline
28 & -0.002133 & -0.0209 & 0.491686 \tabularnewline
29 & -0.037932 & -0.3717 & 0.355485 \tabularnewline
30 & -0.017937 & -0.1758 & 0.43043 \tabularnewline
31 & -0.044855 & -0.4395 & 0.330647 \tabularnewline
32 & -0.004113 & -0.0403 & 0.48397 \tabularnewline
33 & -0.038675 & -0.3789 & 0.352785 \tabularnewline
34 & -0.038385 & -0.3761 & 0.353838 \tabularnewline
35 & -0.017867 & -0.1751 & 0.430699 \tabularnewline
36 & -0.012412 & -0.1216 & 0.451731 \tabularnewline
37 & -0.017637 & -0.1728 & 0.431585 \tabularnewline
38 & -0.038154 & -0.3738 & 0.354678 \tabularnewline
39 & -0.011958 & -0.1172 & 0.453488 \tabularnewline
40 & 0.013168 & 0.129 & 0.448804 \tabularnewline
41 & -0.02065 & -0.2023 & 0.420045 \tabularnewline
42 & -0.031266 & -0.3063 & 0.380005 \tabularnewline
43 & -0.011951 & -0.1171 & 0.453516 \tabularnewline
44 & -0.042116 & -0.4127 & 0.34039 \tabularnewline
45 & 0.014358 & 0.1407 & 0.44421 \tabularnewline
46 & -0.00837 & -0.082 & 0.467405 \tabularnewline
47 & 0.017426 & 0.1707 & 0.432393 \tabularnewline
48 & -0.00847 & -0.083 & 0.467016 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36946&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]0.970009[/C][C]9.5041[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.028327[/C][C]-0.2775[/C][C]0.39098[/C][/ROW]
[ROW][C]3[/C][C]0.026919[/C][C]0.2638[/C][C]0.396269[/C][/ROW]
[ROW][C]4[/C][C]-0.033973[/C][C]-0.3329[/C][C]0.369979[/C][/ROW]
[ROW][C]5[/C][C]-0.007208[/C][C]-0.0706[/C][C]0.471923[/C][/ROW]
[ROW][C]6[/C][C]-0.006358[/C][C]-0.0623[/C][C]0.475227[/C][/ROW]
[ROW][C]7[/C][C]-0.006196[/C][C]-0.0607[/C][C]0.47586[/C][/ROW]
[ROW][C]8[/C][C]-0.033234[/C][C]-0.3256[/C][C]0.372707[/C][/ROW]
[ROW][C]9[/C][C]-0.007616[/C][C]-0.0746[/C][C]0.470335[/C][/ROW]
[ROW][C]10[/C][C]-0.031399[/C][C]-0.3077[/C][C]0.379507[/C][/ROW]
[ROW][C]11[/C][C]-0.000751[/C][C]-0.0074[/C][C]0.497072[/C][/ROW]
[ROW][C]12[/C][C]-0.01839[/C][C]-0.1802[/C][C]0.428693[/C][/ROW]
[ROW][C]13[/C][C]-0.031914[/C][C]-0.3127[/C][C]0.377596[/C][/ROW]
[ROW][C]14[/C][C]-0.039951[/C][C]-0.3914[/C][C]0.34817[/C][/ROW]
[ROW][C]15[/C][C]-0.037522[/C][C]-0.3676[/C][C]0.356975[/C][/ROW]
[ROW][C]16[/C][C]-0.014188[/C][C]-0.139[/C][C]0.444865[/C][/ROW]
[ROW][C]17[/C][C]0.024605[/C][C]0.2411[/C][C]0.405006[/C][/ROW]
[ROW][C]18[/C][C]-0.0354[/C][C]-0.3469[/C][C]0.364731[/C][/ROW]
[ROW][C]19[/C][C]0.021573[/C][C]0.2114[/C][C]0.416523[/C][/ROW]
[ROW][C]20[/C][C]-0.043513[/C][C]-0.4263[/C][C]0.335408[/C][/ROW]
[ROW][C]21[/C][C]-0.025819[/C][C]-0.253[/C][C]0.400415[/C][/ROW]
[ROW][C]22[/C][C]-0.011419[/C][C]-0.1119[/C][C]0.455574[/C][/ROW]
[ROW][C]23[/C][C]-0.03193[/C][C]-0.3129[/C][C]0.377535[/C][/ROW]
[ROW][C]24[/C][C]-0.010603[/C][C]-0.1039[/C][C]0.458737[/C][/ROW]
[ROW][C]25[/C][C]-0.03563[/C][C]-0.3491[/C][C]0.363888[/C][/ROW]
[ROW][C]26[/C][C]-0.014943[/C][C]-0.1464[/C][C]0.441952[/C][/ROW]
[ROW][C]27[/C][C]-0.011807[/C][C]-0.1157[/C][C]0.454072[/C][/ROW]
[ROW][C]28[/C][C]-0.002133[/C][C]-0.0209[/C][C]0.491686[/C][/ROW]
[ROW][C]29[/C][C]-0.037932[/C][C]-0.3717[/C][C]0.355485[/C][/ROW]
[ROW][C]30[/C][C]-0.017937[/C][C]-0.1758[/C][C]0.43043[/C][/ROW]
[ROW][C]31[/C][C]-0.044855[/C][C]-0.4395[/C][C]0.330647[/C][/ROW]
[ROW][C]32[/C][C]-0.004113[/C][C]-0.0403[/C][C]0.48397[/C][/ROW]
[ROW][C]33[/C][C]-0.038675[/C][C]-0.3789[/C][C]0.352785[/C][/ROW]
[ROW][C]34[/C][C]-0.038385[/C][C]-0.3761[/C][C]0.353838[/C][/ROW]
[ROW][C]35[/C][C]-0.017867[/C][C]-0.1751[/C][C]0.430699[/C][/ROW]
[ROW][C]36[/C][C]-0.012412[/C][C]-0.1216[/C][C]0.451731[/C][/ROW]
[ROW][C]37[/C][C]-0.017637[/C][C]-0.1728[/C][C]0.431585[/C][/ROW]
[ROW][C]38[/C][C]-0.038154[/C][C]-0.3738[/C][C]0.354678[/C][/ROW]
[ROW][C]39[/C][C]-0.011958[/C][C]-0.1172[/C][C]0.453488[/C][/ROW]
[ROW][C]40[/C][C]0.013168[/C][C]0.129[/C][C]0.448804[/C][/ROW]
[ROW][C]41[/C][C]-0.02065[/C][C]-0.2023[/C][C]0.420045[/C][/ROW]
[ROW][C]42[/C][C]-0.031266[/C][C]-0.3063[/C][C]0.380005[/C][/ROW]
[ROW][C]43[/C][C]-0.011951[/C][C]-0.1171[/C][C]0.453516[/C][/ROW]
[ROW][C]44[/C][C]-0.042116[/C][C]-0.4127[/C][C]0.34039[/C][/ROW]
[ROW][C]45[/C][C]0.014358[/C][C]0.1407[/C][C]0.44421[/C][/ROW]
[ROW][C]46[/C][C]-0.00837[/C][C]-0.082[/C][C]0.467405[/C][/ROW]
[ROW][C]47[/C][C]0.017426[/C][C]0.1707[/C][C]0.432393[/C][/ROW]
[ROW][C]48[/C][C]-0.00847[/C][C]-0.083[/C][C]0.467016[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36946&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36946&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
10.9700099.50410
2-0.028327-0.27750.39098
30.0269190.26380.396269
4-0.033973-0.33290.369979
5-0.007208-0.07060.471923
6-0.006358-0.06230.475227
7-0.006196-0.06070.47586
8-0.033234-0.32560.372707
9-0.007616-0.07460.470335
10-0.031399-0.30770.379507
11-0.000751-0.00740.497072
12-0.01839-0.18020.428693
13-0.031914-0.31270.377596
14-0.039951-0.39140.34817
15-0.037522-0.36760.356975
16-0.014188-0.1390.444865
170.0246050.24110.405006
18-0.0354-0.34690.364731
190.0215730.21140.416523
20-0.043513-0.42630.335408
21-0.025819-0.2530.400415
22-0.011419-0.11190.455574
23-0.03193-0.31290.377535
24-0.010603-0.10390.458737
25-0.03563-0.34910.363888
26-0.014943-0.14640.441952
27-0.011807-0.11570.454072
28-0.002133-0.02090.491686
29-0.037932-0.37170.355485
30-0.017937-0.17580.43043
31-0.044855-0.43950.330647
32-0.004113-0.04030.48397
33-0.038675-0.37890.352785
34-0.038385-0.37610.353838
35-0.017867-0.17510.430699
36-0.012412-0.12160.451731
37-0.017637-0.17280.431585
38-0.038154-0.37380.354678
39-0.011958-0.11720.453488
400.0131680.1290.448804
41-0.02065-0.20230.420045
42-0.031266-0.30630.380005
43-0.011951-0.11710.453516
44-0.042116-0.41270.34039
450.0143580.14070.44421
46-0.00837-0.0820.467405
470.0174260.17070.432393
48-0.00847-0.0830.467016



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 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')