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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationThu, 04 Jun 2009 06:24:31 -0600
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/Jun/04/t12441182957al9ovmavv7gueg.htm/, Retrieved Tue, 14 May 2024 08:59:19 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=41626, Retrieved Tue, 14 May 2024 08:59:19 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact100
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [] [2009-06-04 12:24:31] [afa535f11cc604bf03d1c5bec84d96a0] [Current]
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Dataseries X:
0
1
0
0
1
3
9
2
3
5
3
5
2
2
0
1
0
1
3
3
2
1
1
5
0
3
1
0
1
4
0
0
1
6
14
1
1
0
0
1
1
1
1
0
1
0
1
0
1
0
1
0
1
0
1
0
1
0
0
2
0
1
0
1
0
0
1
2
0
0
1
2
0
3
1
1
0
2
0
4
0
2
1
1
1
1
0
1
1
0
2
1
3
1
2
4
0
0
0
1
0
1
0
2
2
4
2
3
3
0
0
2
7
8
2
4
1
1
2
4




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=41626&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=41626&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41626&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
10.2827623.09750.001215
20.116451.27560.102273
3-0.032222-0.3530.362362
40.0097360.10670.457621
50.0879010.96290.168765
60.0508940.55750.289108
70.0152760.16730.433692
80.0363180.39780.345726
9-0.016576-0.18160.428111
100.0179030.19610.422423
110.0938511.02810.152989
120.0502410.55040.291548
130.0370620.4060.342735
140.0843320.92380.178719
150.002530.02770.488969
160.0189050.20710.418142
170.0043860.0480.480879
18-0.025142-0.27540.391735
19-0.05333-0.58420.280093
20-0.015111-0.16550.434402
21-0.006678-0.07320.470902
220.0114510.12540.450191
230.1070251.17240.12168
240.0203740.22320.411887
250.0994161.0890.139158
26-0.028936-0.3170.375907
270.0558320.61160.270977
280.1496511.63930.05188
290.0001020.00110.499556
30-0.103312-1.13170.130003
31-0.098206-1.07580.14209
32-0.101919-1.11650.133227
33-0.005237-0.05740.477174
34-0.043122-0.47240.318759
35-0.074999-0.82160.206473
36-0.031932-0.34980.363551
37-0.048437-0.53060.298337
38-0.030308-0.3320.370233
39-0.015041-0.16480.434704
400.0011030.01210.495189
41-0.047819-0.52380.300682
42-0.047561-0.5210.301662
43-0.082814-0.90720.183063
44-0.063808-0.6990.242959
450.0110310.12080.45201
46-0.036368-0.39840.345523
47-0.072499-0.79420.214327
48-0.017749-0.19440.423083

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.282762 & 3.0975 & 0.001215 \tabularnewline
2 & 0.11645 & 1.2756 & 0.102273 \tabularnewline
3 & -0.032222 & -0.353 & 0.362362 \tabularnewline
4 & 0.009736 & 0.1067 & 0.457621 \tabularnewline
5 & 0.087901 & 0.9629 & 0.168765 \tabularnewline
6 & 0.050894 & 0.5575 & 0.289108 \tabularnewline
7 & 0.015276 & 0.1673 & 0.433692 \tabularnewline
8 & 0.036318 & 0.3978 & 0.345726 \tabularnewline
9 & -0.016576 & -0.1816 & 0.428111 \tabularnewline
10 & 0.017903 & 0.1961 & 0.422423 \tabularnewline
11 & 0.093851 & 1.0281 & 0.152989 \tabularnewline
12 & 0.050241 & 0.5504 & 0.291548 \tabularnewline
13 & 0.037062 & 0.406 & 0.342735 \tabularnewline
14 & 0.084332 & 0.9238 & 0.178719 \tabularnewline
15 & 0.00253 & 0.0277 & 0.488969 \tabularnewline
16 & 0.018905 & 0.2071 & 0.418142 \tabularnewline
17 & 0.004386 & 0.048 & 0.480879 \tabularnewline
18 & -0.025142 & -0.2754 & 0.391735 \tabularnewline
19 & -0.05333 & -0.5842 & 0.280093 \tabularnewline
20 & -0.015111 & -0.1655 & 0.434402 \tabularnewline
21 & -0.006678 & -0.0732 & 0.470902 \tabularnewline
22 & 0.011451 & 0.1254 & 0.450191 \tabularnewline
23 & 0.107025 & 1.1724 & 0.12168 \tabularnewline
24 & 0.020374 & 0.2232 & 0.411887 \tabularnewline
25 & 0.099416 & 1.089 & 0.139158 \tabularnewline
26 & -0.028936 & -0.317 & 0.375907 \tabularnewline
27 & 0.055832 & 0.6116 & 0.270977 \tabularnewline
28 & 0.149651 & 1.6393 & 0.05188 \tabularnewline
29 & 0.000102 & 0.0011 & 0.499556 \tabularnewline
30 & -0.103312 & -1.1317 & 0.130003 \tabularnewline
31 & -0.098206 & -1.0758 & 0.14209 \tabularnewline
32 & -0.101919 & -1.1165 & 0.133227 \tabularnewline
33 & -0.005237 & -0.0574 & 0.477174 \tabularnewline
34 & -0.043122 & -0.4724 & 0.318759 \tabularnewline
35 & -0.074999 & -0.8216 & 0.206473 \tabularnewline
36 & -0.031932 & -0.3498 & 0.363551 \tabularnewline
37 & -0.048437 & -0.5306 & 0.298337 \tabularnewline
38 & -0.030308 & -0.332 & 0.370233 \tabularnewline
39 & -0.015041 & -0.1648 & 0.434704 \tabularnewline
40 & 0.001103 & 0.0121 & 0.495189 \tabularnewline
41 & -0.047819 & -0.5238 & 0.300682 \tabularnewline
42 & -0.047561 & -0.521 & 0.301662 \tabularnewline
43 & -0.082814 & -0.9072 & 0.183063 \tabularnewline
44 & -0.063808 & -0.699 & 0.242959 \tabularnewline
45 & 0.011031 & 0.1208 & 0.45201 \tabularnewline
46 & -0.036368 & -0.3984 & 0.345523 \tabularnewline
47 & -0.072499 & -0.7942 & 0.214327 \tabularnewline
48 & -0.017749 & -0.1944 & 0.423083 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=41626&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]0.282762[/C][C]3.0975[/C][C]0.001215[/C][/ROW]
[ROW][C]2[/C][C]0.11645[/C][C]1.2756[/C][C]0.102273[/C][/ROW]
[ROW][C]3[/C][C]-0.032222[/C][C]-0.353[/C][C]0.362362[/C][/ROW]
[ROW][C]4[/C][C]0.009736[/C][C]0.1067[/C][C]0.457621[/C][/ROW]
[ROW][C]5[/C][C]0.087901[/C][C]0.9629[/C][C]0.168765[/C][/ROW]
[ROW][C]6[/C][C]0.050894[/C][C]0.5575[/C][C]0.289108[/C][/ROW]
[ROW][C]7[/C][C]0.015276[/C][C]0.1673[/C][C]0.433692[/C][/ROW]
[ROW][C]8[/C][C]0.036318[/C][C]0.3978[/C][C]0.345726[/C][/ROW]
[ROW][C]9[/C][C]-0.016576[/C][C]-0.1816[/C][C]0.428111[/C][/ROW]
[ROW][C]10[/C][C]0.017903[/C][C]0.1961[/C][C]0.422423[/C][/ROW]
[ROW][C]11[/C][C]0.093851[/C][C]1.0281[/C][C]0.152989[/C][/ROW]
[ROW][C]12[/C][C]0.050241[/C][C]0.5504[/C][C]0.291548[/C][/ROW]
[ROW][C]13[/C][C]0.037062[/C][C]0.406[/C][C]0.342735[/C][/ROW]
[ROW][C]14[/C][C]0.084332[/C][C]0.9238[/C][C]0.178719[/C][/ROW]
[ROW][C]15[/C][C]0.00253[/C][C]0.0277[/C][C]0.488969[/C][/ROW]
[ROW][C]16[/C][C]0.018905[/C][C]0.2071[/C][C]0.418142[/C][/ROW]
[ROW][C]17[/C][C]0.004386[/C][C]0.048[/C][C]0.480879[/C][/ROW]
[ROW][C]18[/C][C]-0.025142[/C][C]-0.2754[/C][C]0.391735[/C][/ROW]
[ROW][C]19[/C][C]-0.05333[/C][C]-0.5842[/C][C]0.280093[/C][/ROW]
[ROW][C]20[/C][C]-0.015111[/C][C]-0.1655[/C][C]0.434402[/C][/ROW]
[ROW][C]21[/C][C]-0.006678[/C][C]-0.0732[/C][C]0.470902[/C][/ROW]
[ROW][C]22[/C][C]0.011451[/C][C]0.1254[/C][C]0.450191[/C][/ROW]
[ROW][C]23[/C][C]0.107025[/C][C]1.1724[/C][C]0.12168[/C][/ROW]
[ROW][C]24[/C][C]0.020374[/C][C]0.2232[/C][C]0.411887[/C][/ROW]
[ROW][C]25[/C][C]0.099416[/C][C]1.089[/C][C]0.139158[/C][/ROW]
[ROW][C]26[/C][C]-0.028936[/C][C]-0.317[/C][C]0.375907[/C][/ROW]
[ROW][C]27[/C][C]0.055832[/C][C]0.6116[/C][C]0.270977[/C][/ROW]
[ROW][C]28[/C][C]0.149651[/C][C]1.6393[/C][C]0.05188[/C][/ROW]
[ROW][C]29[/C][C]0.000102[/C][C]0.0011[/C][C]0.499556[/C][/ROW]
[ROW][C]30[/C][C]-0.103312[/C][C]-1.1317[/C][C]0.130003[/C][/ROW]
[ROW][C]31[/C][C]-0.098206[/C][C]-1.0758[/C][C]0.14209[/C][/ROW]
[ROW][C]32[/C][C]-0.101919[/C][C]-1.1165[/C][C]0.133227[/C][/ROW]
[ROW][C]33[/C][C]-0.005237[/C][C]-0.0574[/C][C]0.477174[/C][/ROW]
[ROW][C]34[/C][C]-0.043122[/C][C]-0.4724[/C][C]0.318759[/C][/ROW]
[ROW][C]35[/C][C]-0.074999[/C][C]-0.8216[/C][C]0.206473[/C][/ROW]
[ROW][C]36[/C][C]-0.031932[/C][C]-0.3498[/C][C]0.363551[/C][/ROW]
[ROW][C]37[/C][C]-0.048437[/C][C]-0.5306[/C][C]0.298337[/C][/ROW]
[ROW][C]38[/C][C]-0.030308[/C][C]-0.332[/C][C]0.370233[/C][/ROW]
[ROW][C]39[/C][C]-0.015041[/C][C]-0.1648[/C][C]0.434704[/C][/ROW]
[ROW][C]40[/C][C]0.001103[/C][C]0.0121[/C][C]0.495189[/C][/ROW]
[ROW][C]41[/C][C]-0.047819[/C][C]-0.5238[/C][C]0.300682[/C][/ROW]
[ROW][C]42[/C][C]-0.047561[/C][C]-0.521[/C][C]0.301662[/C][/ROW]
[ROW][C]43[/C][C]-0.082814[/C][C]-0.9072[/C][C]0.183063[/C][/ROW]
[ROW][C]44[/C][C]-0.063808[/C][C]-0.699[/C][C]0.242959[/C][/ROW]
[ROW][C]45[/C][C]0.011031[/C][C]0.1208[/C][C]0.45201[/C][/ROW]
[ROW][C]46[/C][C]-0.036368[/C][C]-0.3984[/C][C]0.345523[/C][/ROW]
[ROW][C]47[/C][C]-0.072499[/C][C]-0.7942[/C][C]0.214327[/C][/ROW]
[ROW][C]48[/C][C]-0.017749[/C][C]-0.1944[/C][C]0.423083[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=41626&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41626&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
10.2827623.09750.001215
20.116451.27560.102273
3-0.032222-0.3530.362362
40.0097360.10670.457621
50.0879010.96290.168765
60.0508940.55750.289108
70.0152760.16730.433692
80.0363180.39780.345726
9-0.016576-0.18160.428111
100.0179030.19610.422423
110.0938511.02810.152989
120.0502410.55040.291548
130.0370620.4060.342735
140.0843320.92380.178719
150.002530.02770.488969
160.0189050.20710.418142
170.0043860.0480.480879
18-0.025142-0.27540.391735
19-0.05333-0.58420.280093
20-0.015111-0.16550.434402
21-0.006678-0.07320.470902
220.0114510.12540.450191
230.1070251.17240.12168
240.0203740.22320.411887
250.0994161.0890.139158
26-0.028936-0.3170.375907
270.0558320.61160.270977
280.1496511.63930.05188
290.0001020.00110.499556
30-0.103312-1.13170.130003
31-0.098206-1.07580.14209
32-0.101919-1.11650.133227
33-0.005237-0.05740.477174
34-0.043122-0.47240.318759
35-0.074999-0.82160.206473
36-0.031932-0.34980.363551
37-0.048437-0.53060.298337
38-0.030308-0.3320.370233
39-0.015041-0.16480.434704
400.0011030.01210.495189
41-0.047819-0.52380.300682
42-0.047561-0.5210.301662
43-0.082814-0.90720.183063
44-0.063808-0.6990.242959
450.0110310.12080.45201
46-0.036368-0.39840.345523
47-0.072499-0.79420.214327
48-0.017749-0.19440.423083







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.2827623.09750.001215
20.0396670.43450.332342
3-0.081712-0.89510.186261
40.0378010.41410.339773
50.0956471.04780.148428
6-0.005962-0.06530.474017
7-0.014436-0.15810.437305
80.0493930.54110.294729
9-0.039027-0.42750.334884
100.0167880.18390.427201
110.1019861.11720.133069
12-0.00847-0.09280.463113
130.0007730.00850.496628
140.0994441.08940.139091
15-0.050296-0.5510.291341
16-0.006057-0.06640.473602
170.0190760.2090.417414
18-0.042704-0.46780.32039
19-0.070044-0.76730.222207
200.0377140.41310.34012
21-0.003479-0.03810.484831
22-0.021629-0.23690.406554
230.1409011.54350.062673
24-0.041082-0.450.326749
250.0675190.73960.230484
26-0.051228-0.56120.287863
270.0743150.81410.208607
280.1165251.27650.102129
29-0.09911-1.08570.139894
30-0.115338-1.26350.104435
31-0.01231-0.13490.446478
32-0.057166-0.62620.266178
330.0002290.00250.499001
34-0.050832-0.55680.28934
35-0.059667-0.65360.257305
360.0028930.03170.487385
37-0.021749-0.23830.406047
38-0.019342-0.21190.41628
39-0.043427-0.47570.317569
400.0599660.65690.256254
41-0.062464-0.68430.247567
42-0.021459-0.23510.407278
43-0.013161-0.14420.442804
44-0.02021-0.22140.412581
450.0548990.60140.274359
46-0.028716-0.31460.376816
47-0.057002-0.62440.266767
480.0212770.23310.408049

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.282762 & 3.0975 & 0.001215 \tabularnewline
2 & 0.039667 & 0.4345 & 0.332342 \tabularnewline
3 & -0.081712 & -0.8951 & 0.186261 \tabularnewline
4 & 0.037801 & 0.4141 & 0.339773 \tabularnewline
5 & 0.095647 & 1.0478 & 0.148428 \tabularnewline
6 & -0.005962 & -0.0653 & 0.474017 \tabularnewline
7 & -0.014436 & -0.1581 & 0.437305 \tabularnewline
8 & 0.049393 & 0.5411 & 0.294729 \tabularnewline
9 & -0.039027 & -0.4275 & 0.334884 \tabularnewline
10 & 0.016788 & 0.1839 & 0.427201 \tabularnewline
11 & 0.101986 & 1.1172 & 0.133069 \tabularnewline
12 & -0.00847 & -0.0928 & 0.463113 \tabularnewline
13 & 0.000773 & 0.0085 & 0.496628 \tabularnewline
14 & 0.099444 & 1.0894 & 0.139091 \tabularnewline
15 & -0.050296 & -0.551 & 0.291341 \tabularnewline
16 & -0.006057 & -0.0664 & 0.473602 \tabularnewline
17 & 0.019076 & 0.209 & 0.417414 \tabularnewline
18 & -0.042704 & -0.4678 & 0.32039 \tabularnewline
19 & -0.070044 & -0.7673 & 0.222207 \tabularnewline
20 & 0.037714 & 0.4131 & 0.34012 \tabularnewline
21 & -0.003479 & -0.0381 & 0.484831 \tabularnewline
22 & -0.021629 & -0.2369 & 0.406554 \tabularnewline
23 & 0.140901 & 1.5435 & 0.062673 \tabularnewline
24 & -0.041082 & -0.45 & 0.326749 \tabularnewline
25 & 0.067519 & 0.7396 & 0.230484 \tabularnewline
26 & -0.051228 & -0.5612 & 0.287863 \tabularnewline
27 & 0.074315 & 0.8141 & 0.208607 \tabularnewline
28 & 0.116525 & 1.2765 & 0.102129 \tabularnewline
29 & -0.09911 & -1.0857 & 0.139894 \tabularnewline
30 & -0.115338 & -1.2635 & 0.104435 \tabularnewline
31 & -0.01231 & -0.1349 & 0.446478 \tabularnewline
32 & -0.057166 & -0.6262 & 0.266178 \tabularnewline
33 & 0.000229 & 0.0025 & 0.499001 \tabularnewline
34 & -0.050832 & -0.5568 & 0.28934 \tabularnewline
35 & -0.059667 & -0.6536 & 0.257305 \tabularnewline
36 & 0.002893 & 0.0317 & 0.487385 \tabularnewline
37 & -0.021749 & -0.2383 & 0.406047 \tabularnewline
38 & -0.019342 & -0.2119 & 0.41628 \tabularnewline
39 & -0.043427 & -0.4757 & 0.317569 \tabularnewline
40 & 0.059966 & 0.6569 & 0.256254 \tabularnewline
41 & -0.062464 & -0.6843 & 0.247567 \tabularnewline
42 & -0.021459 & -0.2351 & 0.407278 \tabularnewline
43 & -0.013161 & -0.1442 & 0.442804 \tabularnewline
44 & -0.02021 & -0.2214 & 0.412581 \tabularnewline
45 & 0.054899 & 0.6014 & 0.274359 \tabularnewline
46 & -0.028716 & -0.3146 & 0.376816 \tabularnewline
47 & -0.057002 & -0.6244 & 0.266767 \tabularnewline
48 & 0.021277 & 0.2331 & 0.408049 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=41626&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]0.282762[/C][C]3.0975[/C][C]0.001215[/C][/ROW]
[ROW][C]2[/C][C]0.039667[/C][C]0.4345[/C][C]0.332342[/C][/ROW]
[ROW][C]3[/C][C]-0.081712[/C][C]-0.8951[/C][C]0.186261[/C][/ROW]
[ROW][C]4[/C][C]0.037801[/C][C]0.4141[/C][C]0.339773[/C][/ROW]
[ROW][C]5[/C][C]0.095647[/C][C]1.0478[/C][C]0.148428[/C][/ROW]
[ROW][C]6[/C][C]-0.005962[/C][C]-0.0653[/C][C]0.474017[/C][/ROW]
[ROW][C]7[/C][C]-0.014436[/C][C]-0.1581[/C][C]0.437305[/C][/ROW]
[ROW][C]8[/C][C]0.049393[/C][C]0.5411[/C][C]0.294729[/C][/ROW]
[ROW][C]9[/C][C]-0.039027[/C][C]-0.4275[/C][C]0.334884[/C][/ROW]
[ROW][C]10[/C][C]0.016788[/C][C]0.1839[/C][C]0.427201[/C][/ROW]
[ROW][C]11[/C][C]0.101986[/C][C]1.1172[/C][C]0.133069[/C][/ROW]
[ROW][C]12[/C][C]-0.00847[/C][C]-0.0928[/C][C]0.463113[/C][/ROW]
[ROW][C]13[/C][C]0.000773[/C][C]0.0085[/C][C]0.496628[/C][/ROW]
[ROW][C]14[/C][C]0.099444[/C][C]1.0894[/C][C]0.139091[/C][/ROW]
[ROW][C]15[/C][C]-0.050296[/C][C]-0.551[/C][C]0.291341[/C][/ROW]
[ROW][C]16[/C][C]-0.006057[/C][C]-0.0664[/C][C]0.473602[/C][/ROW]
[ROW][C]17[/C][C]0.019076[/C][C]0.209[/C][C]0.417414[/C][/ROW]
[ROW][C]18[/C][C]-0.042704[/C][C]-0.4678[/C][C]0.32039[/C][/ROW]
[ROW][C]19[/C][C]-0.070044[/C][C]-0.7673[/C][C]0.222207[/C][/ROW]
[ROW][C]20[/C][C]0.037714[/C][C]0.4131[/C][C]0.34012[/C][/ROW]
[ROW][C]21[/C][C]-0.003479[/C][C]-0.0381[/C][C]0.484831[/C][/ROW]
[ROW][C]22[/C][C]-0.021629[/C][C]-0.2369[/C][C]0.406554[/C][/ROW]
[ROW][C]23[/C][C]0.140901[/C][C]1.5435[/C][C]0.062673[/C][/ROW]
[ROW][C]24[/C][C]-0.041082[/C][C]-0.45[/C][C]0.326749[/C][/ROW]
[ROW][C]25[/C][C]0.067519[/C][C]0.7396[/C][C]0.230484[/C][/ROW]
[ROW][C]26[/C][C]-0.051228[/C][C]-0.5612[/C][C]0.287863[/C][/ROW]
[ROW][C]27[/C][C]0.074315[/C][C]0.8141[/C][C]0.208607[/C][/ROW]
[ROW][C]28[/C][C]0.116525[/C][C]1.2765[/C][C]0.102129[/C][/ROW]
[ROW][C]29[/C][C]-0.09911[/C][C]-1.0857[/C][C]0.139894[/C][/ROW]
[ROW][C]30[/C][C]-0.115338[/C][C]-1.2635[/C][C]0.104435[/C][/ROW]
[ROW][C]31[/C][C]-0.01231[/C][C]-0.1349[/C][C]0.446478[/C][/ROW]
[ROW][C]32[/C][C]-0.057166[/C][C]-0.6262[/C][C]0.266178[/C][/ROW]
[ROW][C]33[/C][C]0.000229[/C][C]0.0025[/C][C]0.499001[/C][/ROW]
[ROW][C]34[/C][C]-0.050832[/C][C]-0.5568[/C][C]0.28934[/C][/ROW]
[ROW][C]35[/C][C]-0.059667[/C][C]-0.6536[/C][C]0.257305[/C][/ROW]
[ROW][C]36[/C][C]0.002893[/C][C]0.0317[/C][C]0.487385[/C][/ROW]
[ROW][C]37[/C][C]-0.021749[/C][C]-0.2383[/C][C]0.406047[/C][/ROW]
[ROW][C]38[/C][C]-0.019342[/C][C]-0.2119[/C][C]0.41628[/C][/ROW]
[ROW][C]39[/C][C]-0.043427[/C][C]-0.4757[/C][C]0.317569[/C][/ROW]
[ROW][C]40[/C][C]0.059966[/C][C]0.6569[/C][C]0.256254[/C][/ROW]
[ROW][C]41[/C][C]-0.062464[/C][C]-0.6843[/C][C]0.247567[/C][/ROW]
[ROW][C]42[/C][C]-0.021459[/C][C]-0.2351[/C][C]0.407278[/C][/ROW]
[ROW][C]43[/C][C]-0.013161[/C][C]-0.1442[/C][C]0.442804[/C][/ROW]
[ROW][C]44[/C][C]-0.02021[/C][C]-0.2214[/C][C]0.412581[/C][/ROW]
[ROW][C]45[/C][C]0.054899[/C][C]0.6014[/C][C]0.274359[/C][/ROW]
[ROW][C]46[/C][C]-0.028716[/C][C]-0.3146[/C][C]0.376816[/C][/ROW]
[ROW][C]47[/C][C]-0.057002[/C][C]-0.6244[/C][C]0.266767[/C][/ROW]
[ROW][C]48[/C][C]0.021277[/C][C]0.2331[/C][C]0.408049[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=41626&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41626&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
10.2827623.09750.001215
20.0396670.43450.332342
3-0.081712-0.89510.186261
40.0378010.41410.339773
50.0956471.04780.148428
6-0.005962-0.06530.474017
7-0.014436-0.15810.437305
80.0493930.54110.294729
9-0.039027-0.42750.334884
100.0167880.18390.427201
110.1019861.11720.133069
12-0.00847-0.09280.463113
130.0007730.00850.496628
140.0994441.08940.139091
15-0.050296-0.5510.291341
16-0.006057-0.06640.473602
170.0190760.2090.417414
18-0.042704-0.46780.32039
19-0.070044-0.76730.222207
200.0377140.41310.34012
21-0.003479-0.03810.484831
22-0.021629-0.23690.406554
230.1409011.54350.062673
24-0.041082-0.450.326749
250.0675190.73960.230484
26-0.051228-0.56120.287863
270.0743150.81410.208607
280.1165251.27650.102129
29-0.09911-1.08570.139894
30-0.115338-1.26350.104435
31-0.01231-0.13490.446478
32-0.057166-0.62620.266178
330.0002290.00250.499001
34-0.050832-0.55680.28934
35-0.059667-0.65360.257305
360.0028930.03170.487385
37-0.021749-0.23830.406047
38-0.019342-0.21190.41628
39-0.043427-0.47570.317569
400.0599660.65690.256254
41-0.062464-0.68430.247567
42-0.021459-0.23510.407278
43-0.013161-0.14420.442804
44-0.02021-0.22140.412581
450.0548990.60140.274359
46-0.028716-0.31460.376816
47-0.057002-0.62440.266767
480.0212770.23310.408049



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')