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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 09:02:05 -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/t1244127963wou9tyyktpagtqe.htm/, Retrieved Tue, 14 May 2024 00:42:41 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=41705, Retrieved Tue, 14 May 2024 00:42:41 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact106
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [opgave6bisoef2stap2] [2009-06-04 15:02:05] [791ed687546d9528c8a01d986e6abead] [Current]
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Dataseries X:
0,8832
0,8707
0,8766
0,8860
0,9170
0,9561
0,9935
0,9781
0,9806
0,9812
1,0013
 1,0194 
 1,0622 
 1,0785 
 1,0797 
 1,0862 
 1,1556 
 1,1674 
 1,1365 
 1,1155 
 1,1267 
1,1714
 1,1710 
 1,2298 
 1,2638 
 1,2640 
 1,2261 
 1,1989 
 1,2000 
 1,2146 
 1,2266 
 1,2191 
 1,2224 
 1,2507 
 1,2997 
 1,3406 
 1,3123 
 1,3013 
 1,3185 
 1,2943 
 1,2697 
 1,2155 
 1,2041 
 1,2295 
 1,2234 
 1,2022 
 1,0000 
 1,1861 
 1,2126 
 1,1940 
 1,2028 
 1,2273 
 1,2767 
 1,2661 
 1,2681 
 1,2810 
 1,2722 
 1,2617 
 1,2888 
 1,3205 
 1,2993 
 1,3080 
 1,3246 
 1,3513 
 1,3518 
 1,3421 
 1,3726 
 1,3626 
 1,3910 
 1,4233 
 1,4683 
 1,4559 
 1,4728 
 1,4759 
 1,5520 
 1,5754 
 1,5554 
 1,5562 
 1,5759 
 1,4955 
 1,4342 
 1,3266 
 1,2744 
 1,3511 
 1,3244 
 1,2797 
 1,3050 
 1,3203




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=41705&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=41705&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41705&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
1-0.027566-0.25710.398847
2-0.100478-0.93720.175626
30.0023280.02170.491363
40.121611.13430.129892
50.10070.93930.175098
6-0.154222-1.43850.076942
7-0.085664-0.7990.213227
8-0.021765-0.2030.419802
90.0310520.28960.386394
10-0.01825-0.17020.432613
11-0.054344-0.50690.306758
12-0.026621-0.24830.402241
13-0.055389-0.51660.303362
140.068310.63720.26285
15-0.003071-0.02860.488609
16-0.057693-0.53810.295933
17-0.02279-0.21260.416079
180.0226860.21160.416457
190.1053950.98310.164152
20-0.039059-0.36430.358251
21-0.03983-0.37150.355582
22-0.049906-0.46550.32137
23-0.033255-0.31020.378582
240.0030120.02810.488825
25-0.050731-0.47320.318633
26-0.008832-0.08240.467265
270.103260.96310.169072
28-0.063488-0.59220.277633
29-0.157487-1.46890.072727
30-0.08833-0.82390.206129
310.121221.13070.130652
32-0.115663-1.07880.141822
33-0.090156-0.84090.20135
34-0.10489-0.97830.165308
350.1574591.46870.072763
360.1720431.60470.056091
37-0.127098-1.18550.119526
380.0025930.02420.490378
390.1748761.63110.053238
400.0471950.44020.33044
410.010410.09710.461436
420.0127050.11850.452971
430.0441430.41170.340771
44-0.014051-0.13110.448016
450.0457780.4270.33522
46-0.033186-0.30950.378825
47-0.055524-0.51790.302922
48-0.017665-0.16480.434754

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.027566 & -0.2571 & 0.398847 \tabularnewline
2 & -0.100478 & -0.9372 & 0.175626 \tabularnewline
3 & 0.002328 & 0.0217 & 0.491363 \tabularnewline
4 & 0.12161 & 1.1343 & 0.129892 \tabularnewline
5 & 0.1007 & 0.9393 & 0.175098 \tabularnewline
6 & -0.154222 & -1.4385 & 0.076942 \tabularnewline
7 & -0.085664 & -0.799 & 0.213227 \tabularnewline
8 & -0.021765 & -0.203 & 0.419802 \tabularnewline
9 & 0.031052 & 0.2896 & 0.386394 \tabularnewline
10 & -0.01825 & -0.1702 & 0.432613 \tabularnewline
11 & -0.054344 & -0.5069 & 0.306758 \tabularnewline
12 & -0.026621 & -0.2483 & 0.402241 \tabularnewline
13 & -0.055389 & -0.5166 & 0.303362 \tabularnewline
14 & 0.06831 & 0.6372 & 0.26285 \tabularnewline
15 & -0.003071 & -0.0286 & 0.488609 \tabularnewline
16 & -0.057693 & -0.5381 & 0.295933 \tabularnewline
17 & -0.02279 & -0.2126 & 0.416079 \tabularnewline
18 & 0.022686 & 0.2116 & 0.416457 \tabularnewline
19 & 0.105395 & 0.9831 & 0.164152 \tabularnewline
20 & -0.039059 & -0.3643 & 0.358251 \tabularnewline
21 & -0.03983 & -0.3715 & 0.355582 \tabularnewline
22 & -0.049906 & -0.4655 & 0.32137 \tabularnewline
23 & -0.033255 & -0.3102 & 0.378582 \tabularnewline
24 & 0.003012 & 0.0281 & 0.488825 \tabularnewline
25 & -0.050731 & -0.4732 & 0.318633 \tabularnewline
26 & -0.008832 & -0.0824 & 0.467265 \tabularnewline
27 & 0.10326 & 0.9631 & 0.169072 \tabularnewline
28 & -0.063488 & -0.5922 & 0.277633 \tabularnewline
29 & -0.157487 & -1.4689 & 0.072727 \tabularnewline
30 & -0.08833 & -0.8239 & 0.206129 \tabularnewline
31 & 0.12122 & 1.1307 & 0.130652 \tabularnewline
32 & -0.115663 & -1.0788 & 0.141822 \tabularnewline
33 & -0.090156 & -0.8409 & 0.20135 \tabularnewline
34 & -0.10489 & -0.9783 & 0.165308 \tabularnewline
35 & 0.157459 & 1.4687 & 0.072763 \tabularnewline
36 & 0.172043 & 1.6047 & 0.056091 \tabularnewline
37 & -0.127098 & -1.1855 & 0.119526 \tabularnewline
38 & 0.002593 & 0.0242 & 0.490378 \tabularnewline
39 & 0.174876 & 1.6311 & 0.053238 \tabularnewline
40 & 0.047195 & 0.4402 & 0.33044 \tabularnewline
41 & 0.01041 & 0.0971 & 0.461436 \tabularnewline
42 & 0.012705 & 0.1185 & 0.452971 \tabularnewline
43 & 0.044143 & 0.4117 & 0.340771 \tabularnewline
44 & -0.014051 & -0.1311 & 0.448016 \tabularnewline
45 & 0.045778 & 0.427 & 0.33522 \tabularnewline
46 & -0.033186 & -0.3095 & 0.378825 \tabularnewline
47 & -0.055524 & -0.5179 & 0.302922 \tabularnewline
48 & -0.017665 & -0.1648 & 0.434754 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=41705&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]-0.027566[/C][C]-0.2571[/C][C]0.398847[/C][/ROW]
[ROW][C]2[/C][C]-0.100478[/C][C]-0.9372[/C][C]0.175626[/C][/ROW]
[ROW][C]3[/C][C]0.002328[/C][C]0.0217[/C][C]0.491363[/C][/ROW]
[ROW][C]4[/C][C]0.12161[/C][C]1.1343[/C][C]0.129892[/C][/ROW]
[ROW][C]5[/C][C]0.1007[/C][C]0.9393[/C][C]0.175098[/C][/ROW]
[ROW][C]6[/C][C]-0.154222[/C][C]-1.4385[/C][C]0.076942[/C][/ROW]
[ROW][C]7[/C][C]-0.085664[/C][C]-0.799[/C][C]0.213227[/C][/ROW]
[ROW][C]8[/C][C]-0.021765[/C][C]-0.203[/C][C]0.419802[/C][/ROW]
[ROW][C]9[/C][C]0.031052[/C][C]0.2896[/C][C]0.386394[/C][/ROW]
[ROW][C]10[/C][C]-0.01825[/C][C]-0.1702[/C][C]0.432613[/C][/ROW]
[ROW][C]11[/C][C]-0.054344[/C][C]-0.5069[/C][C]0.306758[/C][/ROW]
[ROW][C]12[/C][C]-0.026621[/C][C]-0.2483[/C][C]0.402241[/C][/ROW]
[ROW][C]13[/C][C]-0.055389[/C][C]-0.5166[/C][C]0.303362[/C][/ROW]
[ROW][C]14[/C][C]0.06831[/C][C]0.6372[/C][C]0.26285[/C][/ROW]
[ROW][C]15[/C][C]-0.003071[/C][C]-0.0286[/C][C]0.488609[/C][/ROW]
[ROW][C]16[/C][C]-0.057693[/C][C]-0.5381[/C][C]0.295933[/C][/ROW]
[ROW][C]17[/C][C]-0.02279[/C][C]-0.2126[/C][C]0.416079[/C][/ROW]
[ROW][C]18[/C][C]0.022686[/C][C]0.2116[/C][C]0.416457[/C][/ROW]
[ROW][C]19[/C][C]0.105395[/C][C]0.9831[/C][C]0.164152[/C][/ROW]
[ROW][C]20[/C][C]-0.039059[/C][C]-0.3643[/C][C]0.358251[/C][/ROW]
[ROW][C]21[/C][C]-0.03983[/C][C]-0.3715[/C][C]0.355582[/C][/ROW]
[ROW][C]22[/C][C]-0.049906[/C][C]-0.4655[/C][C]0.32137[/C][/ROW]
[ROW][C]23[/C][C]-0.033255[/C][C]-0.3102[/C][C]0.378582[/C][/ROW]
[ROW][C]24[/C][C]0.003012[/C][C]0.0281[/C][C]0.488825[/C][/ROW]
[ROW][C]25[/C][C]-0.050731[/C][C]-0.4732[/C][C]0.318633[/C][/ROW]
[ROW][C]26[/C][C]-0.008832[/C][C]-0.0824[/C][C]0.467265[/C][/ROW]
[ROW][C]27[/C][C]0.10326[/C][C]0.9631[/C][C]0.169072[/C][/ROW]
[ROW][C]28[/C][C]-0.063488[/C][C]-0.5922[/C][C]0.277633[/C][/ROW]
[ROW][C]29[/C][C]-0.157487[/C][C]-1.4689[/C][C]0.072727[/C][/ROW]
[ROW][C]30[/C][C]-0.08833[/C][C]-0.8239[/C][C]0.206129[/C][/ROW]
[ROW][C]31[/C][C]0.12122[/C][C]1.1307[/C][C]0.130652[/C][/ROW]
[ROW][C]32[/C][C]-0.115663[/C][C]-1.0788[/C][C]0.141822[/C][/ROW]
[ROW][C]33[/C][C]-0.090156[/C][C]-0.8409[/C][C]0.20135[/C][/ROW]
[ROW][C]34[/C][C]-0.10489[/C][C]-0.9783[/C][C]0.165308[/C][/ROW]
[ROW][C]35[/C][C]0.157459[/C][C]1.4687[/C][C]0.072763[/C][/ROW]
[ROW][C]36[/C][C]0.172043[/C][C]1.6047[/C][C]0.056091[/C][/ROW]
[ROW][C]37[/C][C]-0.127098[/C][C]-1.1855[/C][C]0.119526[/C][/ROW]
[ROW][C]38[/C][C]0.002593[/C][C]0.0242[/C][C]0.490378[/C][/ROW]
[ROW][C]39[/C][C]0.174876[/C][C]1.6311[/C][C]0.053238[/C][/ROW]
[ROW][C]40[/C][C]0.047195[/C][C]0.4402[/C][C]0.33044[/C][/ROW]
[ROW][C]41[/C][C]0.01041[/C][C]0.0971[/C][C]0.461436[/C][/ROW]
[ROW][C]42[/C][C]0.012705[/C][C]0.1185[/C][C]0.452971[/C][/ROW]
[ROW][C]43[/C][C]0.044143[/C][C]0.4117[/C][C]0.340771[/C][/ROW]
[ROW][C]44[/C][C]-0.014051[/C][C]-0.1311[/C][C]0.448016[/C][/ROW]
[ROW][C]45[/C][C]0.045778[/C][C]0.427[/C][C]0.33522[/C][/ROW]
[ROW][C]46[/C][C]-0.033186[/C][C]-0.3095[/C][C]0.378825[/C][/ROW]
[ROW][C]47[/C][C]-0.055524[/C][C]-0.5179[/C][C]0.302922[/C][/ROW]
[ROW][C]48[/C][C]-0.017665[/C][C]-0.1648[/C][C]0.434754[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=41705&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41705&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
1-0.027566-0.25710.398847
2-0.100478-0.93720.175626
30.0023280.02170.491363
40.121611.13430.129892
50.10070.93930.175098
6-0.154222-1.43850.076942
7-0.085664-0.7990.213227
8-0.021765-0.2030.419802
90.0310520.28960.386394
10-0.01825-0.17020.432613
11-0.054344-0.50690.306758
12-0.026621-0.24830.402241
13-0.055389-0.51660.303362
140.068310.63720.26285
15-0.003071-0.02860.488609
16-0.057693-0.53810.295933
17-0.02279-0.21260.416079
180.0226860.21160.416457
190.1053950.98310.164152
20-0.039059-0.36430.358251
21-0.03983-0.37150.355582
22-0.049906-0.46550.32137
23-0.033255-0.31020.378582
240.0030120.02810.488825
25-0.050731-0.47320.318633
26-0.008832-0.08240.467265
270.103260.96310.169072
28-0.063488-0.59220.277633
29-0.157487-1.46890.072727
30-0.08833-0.82390.206129
310.121221.13070.130652
32-0.115663-1.07880.141822
33-0.090156-0.84090.20135
34-0.10489-0.97830.165308
350.1574591.46870.072763
360.1720431.60470.056091
37-0.127098-1.18550.119526
380.0025930.02420.490378
390.1748761.63110.053238
400.0471950.44020.33044
410.010410.09710.461436
420.0127050.11850.452971
430.0441430.41170.340771
44-0.014051-0.13110.448016
450.0457780.4270.33522
46-0.033186-0.30950.378825
47-0.055524-0.51790.302922
48-0.017665-0.16480.434754







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.027566-0.25710.398847
2-0.101315-0.9450.173638
3-0.003554-0.03320.486814
40.1126351.05060.148178
50.1102921.02870.153228
6-0.128873-1.2020.116304
7-0.081309-0.75840.225131
8-0.069826-0.65130.258287
9-0.006273-0.05850.476737
100.000520.00490.498071
11-0.003742-0.03490.48612
12-0.025767-0.24030.405318
13-0.085154-0.79430.214601
140.0410840.38320.351252
15-0.003407-0.03180.487361
16-0.039062-0.36430.358241
17-0.019306-0.18010.428757
180.0001570.00150.499419
190.0730970.68180.248586
20-0.016503-0.15390.43901
21-0.014317-0.13350.447038
22-0.074874-0.69840.243403
23-0.088847-0.82870.204769
24-0.02954-0.27550.391782
25-0.021385-0.19950.421182
260.0139890.13050.448245
270.1319741.2310.110825
28-0.077851-0.72610.234851
29-0.193941-1.8090.036956
30-0.15142-1.41230.080707
310.0618260.57670.282825
32-0.127149-1.1860.119432
33-0.029614-0.27620.391516
34-0.106558-0.99390.161513
350.1014030.94580.17343
360.1363681.2720.103389
37-0.072806-0.67910.249443
38-0.023972-0.22360.411796
390.1271541.1860.119423
40-0.039423-0.36770.35699
410.0189280.17650.430136
420.0869030.81060.209909
430.0550060.51310.304605
44-0.047878-0.44660.328144
45-0.003916-0.03650.485474
46-0.076467-0.71320.238805
47-0.026718-0.24920.401892
480.0507940.47380.318425

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.027566 & -0.2571 & 0.398847 \tabularnewline
2 & -0.101315 & -0.945 & 0.173638 \tabularnewline
3 & -0.003554 & -0.0332 & 0.486814 \tabularnewline
4 & 0.112635 & 1.0506 & 0.148178 \tabularnewline
5 & 0.110292 & 1.0287 & 0.153228 \tabularnewline
6 & -0.128873 & -1.202 & 0.116304 \tabularnewline
7 & -0.081309 & -0.7584 & 0.225131 \tabularnewline
8 & -0.069826 & -0.6513 & 0.258287 \tabularnewline
9 & -0.006273 & -0.0585 & 0.476737 \tabularnewline
10 & 0.00052 & 0.0049 & 0.498071 \tabularnewline
11 & -0.003742 & -0.0349 & 0.48612 \tabularnewline
12 & -0.025767 & -0.2403 & 0.405318 \tabularnewline
13 & -0.085154 & -0.7943 & 0.214601 \tabularnewline
14 & 0.041084 & 0.3832 & 0.351252 \tabularnewline
15 & -0.003407 & -0.0318 & 0.487361 \tabularnewline
16 & -0.039062 & -0.3643 & 0.358241 \tabularnewline
17 & -0.019306 & -0.1801 & 0.428757 \tabularnewline
18 & 0.000157 & 0.0015 & 0.499419 \tabularnewline
19 & 0.073097 & 0.6818 & 0.248586 \tabularnewline
20 & -0.016503 & -0.1539 & 0.43901 \tabularnewline
21 & -0.014317 & -0.1335 & 0.447038 \tabularnewline
22 & -0.074874 & -0.6984 & 0.243403 \tabularnewline
23 & -0.088847 & -0.8287 & 0.204769 \tabularnewline
24 & -0.02954 & -0.2755 & 0.391782 \tabularnewline
25 & -0.021385 & -0.1995 & 0.421182 \tabularnewline
26 & 0.013989 & 0.1305 & 0.448245 \tabularnewline
27 & 0.131974 & 1.231 & 0.110825 \tabularnewline
28 & -0.077851 & -0.7261 & 0.234851 \tabularnewline
29 & -0.193941 & -1.809 & 0.036956 \tabularnewline
30 & -0.15142 & -1.4123 & 0.080707 \tabularnewline
31 & 0.061826 & 0.5767 & 0.282825 \tabularnewline
32 & -0.127149 & -1.186 & 0.119432 \tabularnewline
33 & -0.029614 & -0.2762 & 0.391516 \tabularnewline
34 & -0.106558 & -0.9939 & 0.161513 \tabularnewline
35 & 0.101403 & 0.9458 & 0.17343 \tabularnewline
36 & 0.136368 & 1.272 & 0.103389 \tabularnewline
37 & -0.072806 & -0.6791 & 0.249443 \tabularnewline
38 & -0.023972 & -0.2236 & 0.411796 \tabularnewline
39 & 0.127154 & 1.186 & 0.119423 \tabularnewline
40 & -0.039423 & -0.3677 & 0.35699 \tabularnewline
41 & 0.018928 & 0.1765 & 0.430136 \tabularnewline
42 & 0.086903 & 0.8106 & 0.209909 \tabularnewline
43 & 0.055006 & 0.5131 & 0.304605 \tabularnewline
44 & -0.047878 & -0.4466 & 0.328144 \tabularnewline
45 & -0.003916 & -0.0365 & 0.485474 \tabularnewline
46 & -0.076467 & -0.7132 & 0.238805 \tabularnewline
47 & -0.026718 & -0.2492 & 0.401892 \tabularnewline
48 & 0.050794 & 0.4738 & 0.318425 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=41705&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]-0.027566[/C][C]-0.2571[/C][C]0.398847[/C][/ROW]
[ROW][C]2[/C][C]-0.101315[/C][C]-0.945[/C][C]0.173638[/C][/ROW]
[ROW][C]3[/C][C]-0.003554[/C][C]-0.0332[/C][C]0.486814[/C][/ROW]
[ROW][C]4[/C][C]0.112635[/C][C]1.0506[/C][C]0.148178[/C][/ROW]
[ROW][C]5[/C][C]0.110292[/C][C]1.0287[/C][C]0.153228[/C][/ROW]
[ROW][C]6[/C][C]-0.128873[/C][C]-1.202[/C][C]0.116304[/C][/ROW]
[ROW][C]7[/C][C]-0.081309[/C][C]-0.7584[/C][C]0.225131[/C][/ROW]
[ROW][C]8[/C][C]-0.069826[/C][C]-0.6513[/C][C]0.258287[/C][/ROW]
[ROW][C]9[/C][C]-0.006273[/C][C]-0.0585[/C][C]0.476737[/C][/ROW]
[ROW][C]10[/C][C]0.00052[/C][C]0.0049[/C][C]0.498071[/C][/ROW]
[ROW][C]11[/C][C]-0.003742[/C][C]-0.0349[/C][C]0.48612[/C][/ROW]
[ROW][C]12[/C][C]-0.025767[/C][C]-0.2403[/C][C]0.405318[/C][/ROW]
[ROW][C]13[/C][C]-0.085154[/C][C]-0.7943[/C][C]0.214601[/C][/ROW]
[ROW][C]14[/C][C]0.041084[/C][C]0.3832[/C][C]0.351252[/C][/ROW]
[ROW][C]15[/C][C]-0.003407[/C][C]-0.0318[/C][C]0.487361[/C][/ROW]
[ROW][C]16[/C][C]-0.039062[/C][C]-0.3643[/C][C]0.358241[/C][/ROW]
[ROW][C]17[/C][C]-0.019306[/C][C]-0.1801[/C][C]0.428757[/C][/ROW]
[ROW][C]18[/C][C]0.000157[/C][C]0.0015[/C][C]0.499419[/C][/ROW]
[ROW][C]19[/C][C]0.073097[/C][C]0.6818[/C][C]0.248586[/C][/ROW]
[ROW][C]20[/C][C]-0.016503[/C][C]-0.1539[/C][C]0.43901[/C][/ROW]
[ROW][C]21[/C][C]-0.014317[/C][C]-0.1335[/C][C]0.447038[/C][/ROW]
[ROW][C]22[/C][C]-0.074874[/C][C]-0.6984[/C][C]0.243403[/C][/ROW]
[ROW][C]23[/C][C]-0.088847[/C][C]-0.8287[/C][C]0.204769[/C][/ROW]
[ROW][C]24[/C][C]-0.02954[/C][C]-0.2755[/C][C]0.391782[/C][/ROW]
[ROW][C]25[/C][C]-0.021385[/C][C]-0.1995[/C][C]0.421182[/C][/ROW]
[ROW][C]26[/C][C]0.013989[/C][C]0.1305[/C][C]0.448245[/C][/ROW]
[ROW][C]27[/C][C]0.131974[/C][C]1.231[/C][C]0.110825[/C][/ROW]
[ROW][C]28[/C][C]-0.077851[/C][C]-0.7261[/C][C]0.234851[/C][/ROW]
[ROW][C]29[/C][C]-0.193941[/C][C]-1.809[/C][C]0.036956[/C][/ROW]
[ROW][C]30[/C][C]-0.15142[/C][C]-1.4123[/C][C]0.080707[/C][/ROW]
[ROW][C]31[/C][C]0.061826[/C][C]0.5767[/C][C]0.282825[/C][/ROW]
[ROW][C]32[/C][C]-0.127149[/C][C]-1.186[/C][C]0.119432[/C][/ROW]
[ROW][C]33[/C][C]-0.029614[/C][C]-0.2762[/C][C]0.391516[/C][/ROW]
[ROW][C]34[/C][C]-0.106558[/C][C]-0.9939[/C][C]0.161513[/C][/ROW]
[ROW][C]35[/C][C]0.101403[/C][C]0.9458[/C][C]0.17343[/C][/ROW]
[ROW][C]36[/C][C]0.136368[/C][C]1.272[/C][C]0.103389[/C][/ROW]
[ROW][C]37[/C][C]-0.072806[/C][C]-0.6791[/C][C]0.249443[/C][/ROW]
[ROW][C]38[/C][C]-0.023972[/C][C]-0.2236[/C][C]0.411796[/C][/ROW]
[ROW][C]39[/C][C]0.127154[/C][C]1.186[/C][C]0.119423[/C][/ROW]
[ROW][C]40[/C][C]-0.039423[/C][C]-0.3677[/C][C]0.35699[/C][/ROW]
[ROW][C]41[/C][C]0.018928[/C][C]0.1765[/C][C]0.430136[/C][/ROW]
[ROW][C]42[/C][C]0.086903[/C][C]0.8106[/C][C]0.209909[/C][/ROW]
[ROW][C]43[/C][C]0.055006[/C][C]0.5131[/C][C]0.304605[/C][/ROW]
[ROW][C]44[/C][C]-0.047878[/C][C]-0.4466[/C][C]0.328144[/C][/ROW]
[ROW][C]45[/C][C]-0.003916[/C][C]-0.0365[/C][C]0.485474[/C][/ROW]
[ROW][C]46[/C][C]-0.076467[/C][C]-0.7132[/C][C]0.238805[/C][/ROW]
[ROW][C]47[/C][C]-0.026718[/C][C]-0.2492[/C][C]0.401892[/C][/ROW]
[ROW][C]48[/C][C]0.050794[/C][C]0.4738[/C][C]0.318425[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=41705&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41705&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
1-0.027566-0.25710.398847
2-0.101315-0.9450.173638
3-0.003554-0.03320.486814
40.1126351.05060.148178
50.1102921.02870.153228
6-0.128873-1.2020.116304
7-0.081309-0.75840.225131
8-0.069826-0.65130.258287
9-0.006273-0.05850.476737
100.000520.00490.498071
11-0.003742-0.03490.48612
12-0.025767-0.24030.405318
13-0.085154-0.79430.214601
140.0410840.38320.351252
15-0.003407-0.03180.487361
16-0.039062-0.36430.358241
17-0.019306-0.18010.428757
180.0001570.00150.499419
190.0730970.68180.248586
20-0.016503-0.15390.43901
21-0.014317-0.13350.447038
22-0.074874-0.69840.243403
23-0.088847-0.82870.204769
24-0.02954-0.27550.391782
25-0.021385-0.19950.421182
260.0139890.13050.448245
270.1319741.2310.110825
28-0.077851-0.72610.234851
29-0.193941-1.8090.036956
30-0.15142-1.41230.080707
310.0618260.57670.282825
32-0.127149-1.1860.119432
33-0.029614-0.27620.391516
34-0.106558-0.99390.161513
350.1014030.94580.17343
360.1363681.2720.103389
37-0.072806-0.67910.249443
38-0.023972-0.22360.411796
390.1271541.1860.119423
40-0.039423-0.36770.35699
410.0189280.17650.430136
420.0869030.81060.209909
430.0550060.51310.304605
44-0.047878-0.44660.328144
45-0.003916-0.03650.485474
46-0.076467-0.71320.238805
47-0.026718-0.24920.401892
480.0507940.47380.318425



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 1 ; 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')