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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationTue, 27 Nov 2007 03:37:09 -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/27/t1196159305ir2sqz42gwb88ih.htm/, Retrieved Sun, 05 May 2024 13:52:52 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=6833, Retrieved Sun, 05 May 2024 13:52:52 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsQ2,reeks 1
Estimated Impact184
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Workshop 3, Q2] [2007-11-27 10:37:09] [416884147cddda4911f05e55b43ccb0c] [Current]
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Dataseries X:
101.5
99.2
107.8
92.3
99.2
101.6
87.0
71.4
104.7
115.1
102.5
75.3
96.7
94.6
98.6
99.5
92.0
93.6
89.3
66.9
108.8
113.2
105.5
77.8
102.1
97.0
95.5
99.3
86.4
92.4
85.7
61.9
104.9
107.9
95.6
79.8
94.8
93.7
108.1
96.9
88.8
106.7
86.8
69.8
110.9
105.4
99.2
84.4
87.2
91.9
97.9
94.5
85.0
100.3
78.7
65.8
104.8
96.0
103.3
82.9
91.4
94.5
109.3
92.1
99.3
109.6
87.5
73.1
110.7
111.6
110.7
84.0
101.6
102.1
113.9
99.0
100.4
109.5
93.0
76.8
105.3




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=6833&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=6833&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6833&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
018.24620
1-0.581159-4.79240.999995
20.0119660.09870.460843
30.2985012.46150.008189
4-0.226911-1.87120.967187
50.0456150.37620.353987
60.1644871.35640.089731
7-0.210023-1.73190.956087
80.0173550.14310.443311
90.1634651.3480.091071
10-0.255585-2.10760.980623
110.1917171.58090.059266
12-0.121705-1.00360.840436
13-0.074663-0.61570.729921
140.126221.04080.150819
150.003480.02870.488595
16-0.20949-1.72750.955691
170.1855081.52970.065361
180.0399650.32960.371372
19-0.231288-1.90730.969643
200.2443452.01490.023934
21-0.054051-0.44570.671391
22-0.185727-1.53150.934863
230.3156612.6030.005668
24-0.140681-1.16010.874965
25-0.125534-1.03520.847873
260.2206551.81960.036614
27-0.116346-0.95940.829625
28-0.026798-0.2210.587114
290.1983131.63530.053301
30-0.320778-2.64520.994934
310.2128971.75560.041831
320.0378650.31220.377906
33-0.181006-1.49260.929918
340.1292561.06590.145125
35-0.019373-0.15980.563226
36-0.079629-0.65660.743186
370.0890410.73430.232659
380.0337910.27860.390682
39-0.178659-1.47330.927353
400.1877511.54820.063104
41-0.07603-0.6270.733606
42-0.021635-0.17840.570533
430.01670.13770.445439
440.0240080.1980.421827
45-0.041317-0.34070.632813
460.0157580.12990.448496
470.070080.57790.282623

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 8.2462 & 0 \tabularnewline
1 & -0.581159 & -4.7924 & 0.999995 \tabularnewline
2 & 0.011966 & 0.0987 & 0.460843 \tabularnewline
3 & 0.298501 & 2.4615 & 0.008189 \tabularnewline
4 & -0.226911 & -1.8712 & 0.967187 \tabularnewline
5 & 0.045615 & 0.3762 & 0.353987 \tabularnewline
6 & 0.164487 & 1.3564 & 0.089731 \tabularnewline
7 & -0.210023 & -1.7319 & 0.956087 \tabularnewline
8 & 0.017355 & 0.1431 & 0.443311 \tabularnewline
9 & 0.163465 & 1.348 & 0.091071 \tabularnewline
10 & -0.255585 & -2.1076 & 0.980623 \tabularnewline
11 & 0.191717 & 1.5809 & 0.059266 \tabularnewline
12 & -0.121705 & -1.0036 & 0.840436 \tabularnewline
13 & -0.074663 & -0.6157 & 0.729921 \tabularnewline
14 & 0.12622 & 1.0408 & 0.150819 \tabularnewline
15 & 0.00348 & 0.0287 & 0.488595 \tabularnewline
16 & -0.20949 & -1.7275 & 0.955691 \tabularnewline
17 & 0.185508 & 1.5297 & 0.065361 \tabularnewline
18 & 0.039965 & 0.3296 & 0.371372 \tabularnewline
19 & -0.231288 & -1.9073 & 0.969643 \tabularnewline
20 & 0.244345 & 2.0149 & 0.023934 \tabularnewline
21 & -0.054051 & -0.4457 & 0.671391 \tabularnewline
22 & -0.185727 & -1.5315 & 0.934863 \tabularnewline
23 & 0.315661 & 2.603 & 0.005668 \tabularnewline
24 & -0.140681 & -1.1601 & 0.874965 \tabularnewline
25 & -0.125534 & -1.0352 & 0.847873 \tabularnewline
26 & 0.220655 & 1.8196 & 0.036614 \tabularnewline
27 & -0.116346 & -0.9594 & 0.829625 \tabularnewline
28 & -0.026798 & -0.221 & 0.587114 \tabularnewline
29 & 0.198313 & 1.6353 & 0.053301 \tabularnewline
30 & -0.320778 & -2.6452 & 0.994934 \tabularnewline
31 & 0.212897 & 1.7556 & 0.041831 \tabularnewline
32 & 0.037865 & 0.3122 & 0.377906 \tabularnewline
33 & -0.181006 & -1.4926 & 0.929918 \tabularnewline
34 & 0.129256 & 1.0659 & 0.145125 \tabularnewline
35 & -0.019373 & -0.1598 & 0.563226 \tabularnewline
36 & -0.079629 & -0.6566 & 0.743186 \tabularnewline
37 & 0.089041 & 0.7343 & 0.232659 \tabularnewline
38 & 0.033791 & 0.2786 & 0.390682 \tabularnewline
39 & -0.178659 & -1.4733 & 0.927353 \tabularnewline
40 & 0.187751 & 1.5482 & 0.063104 \tabularnewline
41 & -0.07603 & -0.627 & 0.733606 \tabularnewline
42 & -0.021635 & -0.1784 & 0.570533 \tabularnewline
43 & 0.0167 & 0.1377 & 0.445439 \tabularnewline
44 & 0.024008 & 0.198 & 0.421827 \tabularnewline
45 & -0.041317 & -0.3407 & 0.632813 \tabularnewline
46 & 0.015758 & 0.1299 & 0.448496 \tabularnewline
47 & 0.07008 & 0.5779 & 0.282623 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6833&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]8.2462[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]-0.581159[/C][C]-4.7924[/C][C]0.999995[/C][/ROW]
[ROW][C]2[/C][C]0.011966[/C][C]0.0987[/C][C]0.460843[/C][/ROW]
[ROW][C]3[/C][C]0.298501[/C][C]2.4615[/C][C]0.008189[/C][/ROW]
[ROW][C]4[/C][C]-0.226911[/C][C]-1.8712[/C][C]0.967187[/C][/ROW]
[ROW][C]5[/C][C]0.045615[/C][C]0.3762[/C][C]0.353987[/C][/ROW]
[ROW][C]6[/C][C]0.164487[/C][C]1.3564[/C][C]0.089731[/C][/ROW]
[ROW][C]7[/C][C]-0.210023[/C][C]-1.7319[/C][C]0.956087[/C][/ROW]
[ROW][C]8[/C][C]0.017355[/C][C]0.1431[/C][C]0.443311[/C][/ROW]
[ROW][C]9[/C][C]0.163465[/C][C]1.348[/C][C]0.091071[/C][/ROW]
[ROW][C]10[/C][C]-0.255585[/C][C]-2.1076[/C][C]0.980623[/C][/ROW]
[ROW][C]11[/C][C]0.191717[/C][C]1.5809[/C][C]0.059266[/C][/ROW]
[ROW][C]12[/C][C]-0.121705[/C][C]-1.0036[/C][C]0.840436[/C][/ROW]
[ROW][C]13[/C][C]-0.074663[/C][C]-0.6157[/C][C]0.729921[/C][/ROW]
[ROW][C]14[/C][C]0.12622[/C][C]1.0408[/C][C]0.150819[/C][/ROW]
[ROW][C]15[/C][C]0.00348[/C][C]0.0287[/C][C]0.488595[/C][/ROW]
[ROW][C]16[/C][C]-0.20949[/C][C]-1.7275[/C][C]0.955691[/C][/ROW]
[ROW][C]17[/C][C]0.185508[/C][C]1.5297[/C][C]0.065361[/C][/ROW]
[ROW][C]18[/C][C]0.039965[/C][C]0.3296[/C][C]0.371372[/C][/ROW]
[ROW][C]19[/C][C]-0.231288[/C][C]-1.9073[/C][C]0.969643[/C][/ROW]
[ROW][C]20[/C][C]0.244345[/C][C]2.0149[/C][C]0.023934[/C][/ROW]
[ROW][C]21[/C][C]-0.054051[/C][C]-0.4457[/C][C]0.671391[/C][/ROW]
[ROW][C]22[/C][C]-0.185727[/C][C]-1.5315[/C][C]0.934863[/C][/ROW]
[ROW][C]23[/C][C]0.315661[/C][C]2.603[/C][C]0.005668[/C][/ROW]
[ROW][C]24[/C][C]-0.140681[/C][C]-1.1601[/C][C]0.874965[/C][/ROW]
[ROW][C]25[/C][C]-0.125534[/C][C]-1.0352[/C][C]0.847873[/C][/ROW]
[ROW][C]26[/C][C]0.220655[/C][C]1.8196[/C][C]0.036614[/C][/ROW]
[ROW][C]27[/C][C]-0.116346[/C][C]-0.9594[/C][C]0.829625[/C][/ROW]
[ROW][C]28[/C][C]-0.026798[/C][C]-0.221[/C][C]0.587114[/C][/ROW]
[ROW][C]29[/C][C]0.198313[/C][C]1.6353[/C][C]0.053301[/C][/ROW]
[ROW][C]30[/C][C]-0.320778[/C][C]-2.6452[/C][C]0.994934[/C][/ROW]
[ROW][C]31[/C][C]0.212897[/C][C]1.7556[/C][C]0.041831[/C][/ROW]
[ROW][C]32[/C][C]0.037865[/C][C]0.3122[/C][C]0.377906[/C][/ROW]
[ROW][C]33[/C][C]-0.181006[/C][C]-1.4926[/C][C]0.929918[/C][/ROW]
[ROW][C]34[/C][C]0.129256[/C][C]1.0659[/C][C]0.145125[/C][/ROW]
[ROW][C]35[/C][C]-0.019373[/C][C]-0.1598[/C][C]0.563226[/C][/ROW]
[ROW][C]36[/C][C]-0.079629[/C][C]-0.6566[/C][C]0.743186[/C][/ROW]
[ROW][C]37[/C][C]0.089041[/C][C]0.7343[/C][C]0.232659[/C][/ROW]
[ROW][C]38[/C][C]0.033791[/C][C]0.2786[/C][C]0.390682[/C][/ROW]
[ROW][C]39[/C][C]-0.178659[/C][C]-1.4733[/C][C]0.927353[/C][/ROW]
[ROW][C]40[/C][C]0.187751[/C][C]1.5482[/C][C]0.063104[/C][/ROW]
[ROW][C]41[/C][C]-0.07603[/C][C]-0.627[/C][C]0.733606[/C][/ROW]
[ROW][C]42[/C][C]-0.021635[/C][C]-0.1784[/C][C]0.570533[/C][/ROW]
[ROW][C]43[/C][C]0.0167[/C][C]0.1377[/C][C]0.445439[/C][/ROW]
[ROW][C]44[/C][C]0.024008[/C][C]0.198[/C][C]0.421827[/C][/ROW]
[ROW][C]45[/C][C]-0.041317[/C][C]-0.3407[/C][C]0.632813[/C][/ROW]
[ROW][C]46[/C][C]0.015758[/C][C]0.1299[/C][C]0.448496[/C][/ROW]
[ROW][C]47[/C][C]0.07008[/C][C]0.5779[/C][C]0.282623[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=6833&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6833&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
018.24620
1-0.581159-4.79240.999995
20.0119660.09870.460843
30.2985012.46150.008189
4-0.226911-1.87120.967187
50.0456150.37620.353987
60.1644871.35640.089731
7-0.210023-1.73190.956087
80.0173550.14310.443311
90.1634651.3480.091071
10-0.255585-2.10760.980623
110.1917171.58090.059266
12-0.121705-1.00360.840436
13-0.074663-0.61570.729921
140.126221.04080.150819
150.003480.02870.488595
16-0.20949-1.72750.955691
170.1855081.52970.065361
180.0399650.32960.371372
19-0.231288-1.90730.969643
200.2443452.01490.023934
21-0.054051-0.44570.671391
22-0.185727-1.53150.934863
230.3156612.6030.005668
24-0.140681-1.16010.874965
25-0.125534-1.03520.847873
260.2206551.81960.036614
27-0.116346-0.95940.829625
28-0.026798-0.2210.587114
290.1983131.63530.053301
30-0.320778-2.64520.994934
310.2128971.75560.041831
320.0378650.31220.377906
33-0.181006-1.49260.929918
340.1292561.06590.145125
35-0.019373-0.15980.563226
36-0.079629-0.65660.743186
370.0890410.73430.232659
380.0337910.27860.390682
39-0.178659-1.47330.927353
400.1877511.54820.063104
41-0.07603-0.6270.733606
42-0.021635-0.17840.570533
430.01670.13770.445439
440.0240080.1980.421827
45-0.041317-0.34070.632813
460.0157580.12990.448496
470.070080.57790.282623







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
0-0.581159-4.79240.999995
1-0.491926-4.05650.999935
20.0457960.37760.353437
30.1141950.94170.174846
40.0749070.61770.269418
50.2040451.68260.04852
60.0480690.39640.346531
7-0.20515-1.69170.95236
8-0.103218-0.85120.801165
9-0.217558-1.7940.961373
10-0.003248-0.02680.510644
11-0.118424-0.97650.833872
12-0.187575-1.54680.936722
13-0.154737-1.2760.896851
140.1274581.0510.148479
15-0.047047-0.3880.650371
16-0.097836-0.80680.788696
170.1435761.1840.120275
180.0016750.01380.494511
19-0.071392-0.58870.720997
200.0409490.33770.368324
21-0.167718-1.3830.914411
220.0169130.13950.444747
230.0677330.55850.289156
24-0.057747-0.47620.682267
25-0.133798-1.10330.863113
26-0.033079-0.27280.607075
27-0.019473-0.16060.563548
280.1565131.29060.100599
29-0.094454-0.77890.780626
30-0.022088-0.18210.571992
31-0.033436-0.27570.6082
320.0514940.42460.336224
33-0.014014-0.11560.54583
34-0.046712-0.38520.649355
350.0222250.18330.427565
36-0.015966-0.13170.552179
37-0.034494-0.28440.611534
38-0.006616-0.05460.521674
390.0541990.44690.328171
40-0.023025-0.18990.575012
41-0.022897-0.18880.574599
42-0.118379-0.97620.833782
43-0.068354-0.56370.712581
440.104230.85950.196541
45-0.074235-0.61220.728762
460.0627850.51770.30316
470.092180.76010.2249

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & -0.581159 & -4.7924 & 0.999995 \tabularnewline
1 & -0.491926 & -4.0565 & 0.999935 \tabularnewline
2 & 0.045796 & 0.3776 & 0.353437 \tabularnewline
3 & 0.114195 & 0.9417 & 0.174846 \tabularnewline
4 & 0.074907 & 0.6177 & 0.269418 \tabularnewline
5 & 0.204045 & 1.6826 & 0.04852 \tabularnewline
6 & 0.048069 & 0.3964 & 0.346531 \tabularnewline
7 & -0.20515 & -1.6917 & 0.95236 \tabularnewline
8 & -0.103218 & -0.8512 & 0.801165 \tabularnewline
9 & -0.217558 & -1.794 & 0.961373 \tabularnewline
10 & -0.003248 & -0.0268 & 0.510644 \tabularnewline
11 & -0.118424 & -0.9765 & 0.833872 \tabularnewline
12 & -0.187575 & -1.5468 & 0.936722 \tabularnewline
13 & -0.154737 & -1.276 & 0.896851 \tabularnewline
14 & 0.127458 & 1.051 & 0.148479 \tabularnewline
15 & -0.047047 & -0.388 & 0.650371 \tabularnewline
16 & -0.097836 & -0.8068 & 0.788696 \tabularnewline
17 & 0.143576 & 1.184 & 0.120275 \tabularnewline
18 & 0.001675 & 0.0138 & 0.494511 \tabularnewline
19 & -0.071392 & -0.5887 & 0.720997 \tabularnewline
20 & 0.040949 & 0.3377 & 0.368324 \tabularnewline
21 & -0.167718 & -1.383 & 0.914411 \tabularnewline
22 & 0.016913 & 0.1395 & 0.444747 \tabularnewline
23 & 0.067733 & 0.5585 & 0.289156 \tabularnewline
24 & -0.057747 & -0.4762 & 0.682267 \tabularnewline
25 & -0.133798 & -1.1033 & 0.863113 \tabularnewline
26 & -0.033079 & -0.2728 & 0.607075 \tabularnewline
27 & -0.019473 & -0.1606 & 0.563548 \tabularnewline
28 & 0.156513 & 1.2906 & 0.100599 \tabularnewline
29 & -0.094454 & -0.7789 & 0.780626 \tabularnewline
30 & -0.022088 & -0.1821 & 0.571992 \tabularnewline
31 & -0.033436 & -0.2757 & 0.6082 \tabularnewline
32 & 0.051494 & 0.4246 & 0.336224 \tabularnewline
33 & -0.014014 & -0.1156 & 0.54583 \tabularnewline
34 & -0.046712 & -0.3852 & 0.649355 \tabularnewline
35 & 0.022225 & 0.1833 & 0.427565 \tabularnewline
36 & -0.015966 & -0.1317 & 0.552179 \tabularnewline
37 & -0.034494 & -0.2844 & 0.611534 \tabularnewline
38 & -0.006616 & -0.0546 & 0.521674 \tabularnewline
39 & 0.054199 & 0.4469 & 0.328171 \tabularnewline
40 & -0.023025 & -0.1899 & 0.575012 \tabularnewline
41 & -0.022897 & -0.1888 & 0.574599 \tabularnewline
42 & -0.118379 & -0.9762 & 0.833782 \tabularnewline
43 & -0.068354 & -0.5637 & 0.712581 \tabularnewline
44 & 0.10423 & 0.8595 & 0.196541 \tabularnewline
45 & -0.074235 & -0.6122 & 0.728762 \tabularnewline
46 & 0.062785 & 0.5177 & 0.30316 \tabularnewline
47 & 0.09218 & 0.7601 & 0.2249 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6833&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]-0.581159[/C][C]-4.7924[/C][C]0.999995[/C][/ROW]
[ROW][C]1[/C][C]-0.491926[/C][C]-4.0565[/C][C]0.999935[/C][/ROW]
[ROW][C]2[/C][C]0.045796[/C][C]0.3776[/C][C]0.353437[/C][/ROW]
[ROW][C]3[/C][C]0.114195[/C][C]0.9417[/C][C]0.174846[/C][/ROW]
[ROW][C]4[/C][C]0.074907[/C][C]0.6177[/C][C]0.269418[/C][/ROW]
[ROW][C]5[/C][C]0.204045[/C][C]1.6826[/C][C]0.04852[/C][/ROW]
[ROW][C]6[/C][C]0.048069[/C][C]0.3964[/C][C]0.346531[/C][/ROW]
[ROW][C]7[/C][C]-0.20515[/C][C]-1.6917[/C][C]0.95236[/C][/ROW]
[ROW][C]8[/C][C]-0.103218[/C][C]-0.8512[/C][C]0.801165[/C][/ROW]
[ROW][C]9[/C][C]-0.217558[/C][C]-1.794[/C][C]0.961373[/C][/ROW]
[ROW][C]10[/C][C]-0.003248[/C][C]-0.0268[/C][C]0.510644[/C][/ROW]
[ROW][C]11[/C][C]-0.118424[/C][C]-0.9765[/C][C]0.833872[/C][/ROW]
[ROW][C]12[/C][C]-0.187575[/C][C]-1.5468[/C][C]0.936722[/C][/ROW]
[ROW][C]13[/C][C]-0.154737[/C][C]-1.276[/C][C]0.896851[/C][/ROW]
[ROW][C]14[/C][C]0.127458[/C][C]1.051[/C][C]0.148479[/C][/ROW]
[ROW][C]15[/C][C]-0.047047[/C][C]-0.388[/C][C]0.650371[/C][/ROW]
[ROW][C]16[/C][C]-0.097836[/C][C]-0.8068[/C][C]0.788696[/C][/ROW]
[ROW][C]17[/C][C]0.143576[/C][C]1.184[/C][C]0.120275[/C][/ROW]
[ROW][C]18[/C][C]0.001675[/C][C]0.0138[/C][C]0.494511[/C][/ROW]
[ROW][C]19[/C][C]-0.071392[/C][C]-0.5887[/C][C]0.720997[/C][/ROW]
[ROW][C]20[/C][C]0.040949[/C][C]0.3377[/C][C]0.368324[/C][/ROW]
[ROW][C]21[/C][C]-0.167718[/C][C]-1.383[/C][C]0.914411[/C][/ROW]
[ROW][C]22[/C][C]0.016913[/C][C]0.1395[/C][C]0.444747[/C][/ROW]
[ROW][C]23[/C][C]0.067733[/C][C]0.5585[/C][C]0.289156[/C][/ROW]
[ROW][C]24[/C][C]-0.057747[/C][C]-0.4762[/C][C]0.682267[/C][/ROW]
[ROW][C]25[/C][C]-0.133798[/C][C]-1.1033[/C][C]0.863113[/C][/ROW]
[ROW][C]26[/C][C]-0.033079[/C][C]-0.2728[/C][C]0.607075[/C][/ROW]
[ROW][C]27[/C][C]-0.019473[/C][C]-0.1606[/C][C]0.563548[/C][/ROW]
[ROW][C]28[/C][C]0.156513[/C][C]1.2906[/C][C]0.100599[/C][/ROW]
[ROW][C]29[/C][C]-0.094454[/C][C]-0.7789[/C][C]0.780626[/C][/ROW]
[ROW][C]30[/C][C]-0.022088[/C][C]-0.1821[/C][C]0.571992[/C][/ROW]
[ROW][C]31[/C][C]-0.033436[/C][C]-0.2757[/C][C]0.6082[/C][/ROW]
[ROW][C]32[/C][C]0.051494[/C][C]0.4246[/C][C]0.336224[/C][/ROW]
[ROW][C]33[/C][C]-0.014014[/C][C]-0.1156[/C][C]0.54583[/C][/ROW]
[ROW][C]34[/C][C]-0.046712[/C][C]-0.3852[/C][C]0.649355[/C][/ROW]
[ROW][C]35[/C][C]0.022225[/C][C]0.1833[/C][C]0.427565[/C][/ROW]
[ROW][C]36[/C][C]-0.015966[/C][C]-0.1317[/C][C]0.552179[/C][/ROW]
[ROW][C]37[/C][C]-0.034494[/C][C]-0.2844[/C][C]0.611534[/C][/ROW]
[ROW][C]38[/C][C]-0.006616[/C][C]-0.0546[/C][C]0.521674[/C][/ROW]
[ROW][C]39[/C][C]0.054199[/C][C]0.4469[/C][C]0.328171[/C][/ROW]
[ROW][C]40[/C][C]-0.023025[/C][C]-0.1899[/C][C]0.575012[/C][/ROW]
[ROW][C]41[/C][C]-0.022897[/C][C]-0.1888[/C][C]0.574599[/C][/ROW]
[ROW][C]42[/C][C]-0.118379[/C][C]-0.9762[/C][C]0.833782[/C][/ROW]
[ROW][C]43[/C][C]-0.068354[/C][C]-0.5637[/C][C]0.712581[/C][/ROW]
[ROW][C]44[/C][C]0.10423[/C][C]0.8595[/C][C]0.196541[/C][/ROW]
[ROW][C]45[/C][C]-0.074235[/C][C]-0.6122[/C][C]0.728762[/C][/ROW]
[ROW][C]46[/C][C]0.062785[/C][C]0.5177[/C][C]0.30316[/C][/ROW]
[ROW][C]47[/C][C]0.09218[/C][C]0.7601[/C][C]0.2249[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=6833&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6833&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
0-0.581159-4.79240.999995
1-0.491926-4.05650.999935
20.0457960.37760.353437
30.1141950.94170.174846
40.0749070.61770.269418
50.2040451.68260.04852
60.0480690.39640.346531
7-0.20515-1.69170.95236
8-0.103218-0.85120.801165
9-0.217558-1.7940.961373
10-0.003248-0.02680.510644
11-0.118424-0.97650.833872
12-0.187575-1.54680.936722
13-0.154737-1.2760.896851
140.1274581.0510.148479
15-0.047047-0.3880.650371
16-0.097836-0.80680.788696
170.1435761.1840.120275
180.0016750.01380.494511
19-0.071392-0.58870.720997
200.0409490.33770.368324
21-0.167718-1.3830.914411
220.0169130.13950.444747
230.0677330.55850.289156
24-0.057747-0.47620.682267
25-0.133798-1.10330.863113
26-0.033079-0.27280.607075
27-0.019473-0.16060.563548
280.1565131.29060.100599
29-0.094454-0.77890.780626
30-0.022088-0.18210.571992
31-0.033436-0.27570.6082
320.0514940.42460.336224
33-0.014014-0.11560.54583
34-0.046712-0.38520.649355
350.0222250.18330.427565
36-0.015966-0.13170.552179
37-0.034494-0.28440.611534
38-0.006616-0.05460.521674
390.0541990.44690.328171
40-0.023025-0.18990.575012
41-0.022897-0.18880.574599
42-0.118379-0.97620.833782
43-0.068354-0.56370.712581
440.104230.85950.196541
45-0.074235-0.61220.728762
460.0627850.51770.30316
470.092180.76010.2249



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; 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')