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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationMon, 10 Dec 2007 12:40:13 -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/Dec/10/t11973147895hv17f2a1nv730z.htm/, Retrieved Mon, 06 May 2024 21:39:05 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=3025, Retrieved Mon, 06 May 2024 21:39:05 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact218
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Autocorrelation F...] [2007-12-10 19:40:13] [40a229849a2b804e343854d9b3fa1a24] [Current]
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Dataseries X:
106,22
106,31
107,38
109,31
110,82
111,22
110,66
110,76
110,69
111,08
110,97
110,24
112,51
111,52
112,13
112,23
112,92
111,89
111,99
111,51
112,33
112,04
112,09
111,41
112,61
113,14
113,65
114,26
114,4
114,93
114,86
114,95
116,17
114,6
114,62
113,82
115,02
115,18
115,59
116,6
117,07
116,96
116,66
116,07
116,04
115,81
116,22
115,85
116,43
117,39
119,17
119,24
120,03
119,34
118,49
118,59
117,5
117,56
118,25
118,01




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=3025&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=3025&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3025&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
016.85570
1-0.166753-1.14320.870627
20.2341461.60520.057572
3-0.020158-0.13820.554661
4-0.010971-0.07520.529819
50.0620750.42560.336184
6-0.16645-1.14110.8702
70.0935260.64120.262259
8-0.17317-1.18720.879442
90.1291880.88570.190154
10-0.044102-0.30240.61814
110.078760.540.295889
12-0.219691-1.50610.930636
13-0.029648-0.20330.580094
14-0.124881-0.85610.801869
15-0.094003-0.64450.738792
16-0.034927-0.23940.594099
17-0.099277-0.68060.750271
180.1462121.00240.160646
19-0.066485-0.45580.674682
200.2517981.72620.045437
210.0389940.26730.395192
22-0.078115-0.53550.702595
230.0414270.2840.388826
24-0.058358-0.40010.654545
250.0429040.29410.384975
26-0.053512-0.36690.642315
270.1258220.86260.196371
280.0109010.07470.470373
290.025540.17510.43088
300.0266750.18290.42784
31-0.116539-0.7990.785832
320.0207570.14230.443724
33-0.107357-0.7360.767306
34-0.080569-0.55240.708339
35-0.038904-0.26670.604571
36-0.046601-0.31950.624612
370.0138030.09460.462506
380.0059660.04090.483775
390.056420.38680.350327
40-0.010546-0.07230.528664
410.0435210.29840.383369
42-0.055873-0.3830.648294
430.0013440.00920.496345
44-0.03027-0.20750.58175
45-0.015268-0.10470.541459
46-0.007351-0.05040.51999
47NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 6.8557 & 0 \tabularnewline
1 & -0.166753 & -1.1432 & 0.870627 \tabularnewline
2 & 0.234146 & 1.6052 & 0.057572 \tabularnewline
3 & -0.020158 & -0.1382 & 0.554661 \tabularnewline
4 & -0.010971 & -0.0752 & 0.529819 \tabularnewline
5 & 0.062075 & 0.4256 & 0.336184 \tabularnewline
6 & -0.16645 & -1.1411 & 0.8702 \tabularnewline
7 & 0.093526 & 0.6412 & 0.262259 \tabularnewline
8 & -0.17317 & -1.1872 & 0.879442 \tabularnewline
9 & 0.129188 & 0.8857 & 0.190154 \tabularnewline
10 & -0.044102 & -0.3024 & 0.61814 \tabularnewline
11 & 0.07876 & 0.54 & 0.295889 \tabularnewline
12 & -0.219691 & -1.5061 & 0.930636 \tabularnewline
13 & -0.029648 & -0.2033 & 0.580094 \tabularnewline
14 & -0.124881 & -0.8561 & 0.801869 \tabularnewline
15 & -0.094003 & -0.6445 & 0.738792 \tabularnewline
16 & -0.034927 & -0.2394 & 0.594099 \tabularnewline
17 & -0.099277 & -0.6806 & 0.750271 \tabularnewline
18 & 0.146212 & 1.0024 & 0.160646 \tabularnewline
19 & -0.066485 & -0.4558 & 0.674682 \tabularnewline
20 & 0.251798 & 1.7262 & 0.045437 \tabularnewline
21 & 0.038994 & 0.2673 & 0.395192 \tabularnewline
22 & -0.078115 & -0.5355 & 0.702595 \tabularnewline
23 & 0.041427 & 0.284 & 0.388826 \tabularnewline
24 & -0.058358 & -0.4001 & 0.654545 \tabularnewline
25 & 0.042904 & 0.2941 & 0.384975 \tabularnewline
26 & -0.053512 & -0.3669 & 0.642315 \tabularnewline
27 & 0.125822 & 0.8626 & 0.196371 \tabularnewline
28 & 0.010901 & 0.0747 & 0.470373 \tabularnewline
29 & 0.02554 & 0.1751 & 0.43088 \tabularnewline
30 & 0.026675 & 0.1829 & 0.42784 \tabularnewline
31 & -0.116539 & -0.799 & 0.785832 \tabularnewline
32 & 0.020757 & 0.1423 & 0.443724 \tabularnewline
33 & -0.107357 & -0.736 & 0.767306 \tabularnewline
34 & -0.080569 & -0.5524 & 0.708339 \tabularnewline
35 & -0.038904 & -0.2667 & 0.604571 \tabularnewline
36 & -0.046601 & -0.3195 & 0.624612 \tabularnewline
37 & 0.013803 & 0.0946 & 0.462506 \tabularnewline
38 & 0.005966 & 0.0409 & 0.483775 \tabularnewline
39 & 0.05642 & 0.3868 & 0.350327 \tabularnewline
40 & -0.010546 & -0.0723 & 0.528664 \tabularnewline
41 & 0.043521 & 0.2984 & 0.383369 \tabularnewline
42 & -0.055873 & -0.383 & 0.648294 \tabularnewline
43 & 0.001344 & 0.0092 & 0.496345 \tabularnewline
44 & -0.03027 & -0.2075 & 0.58175 \tabularnewline
45 & -0.015268 & -0.1047 & 0.541459 \tabularnewline
46 & -0.007351 & -0.0504 & 0.51999 \tabularnewline
47 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3025&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]6.8557[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]-0.166753[/C][C]-1.1432[/C][C]0.870627[/C][/ROW]
[ROW][C]2[/C][C]0.234146[/C][C]1.6052[/C][C]0.057572[/C][/ROW]
[ROW][C]3[/C][C]-0.020158[/C][C]-0.1382[/C][C]0.554661[/C][/ROW]
[ROW][C]4[/C][C]-0.010971[/C][C]-0.0752[/C][C]0.529819[/C][/ROW]
[ROW][C]5[/C][C]0.062075[/C][C]0.4256[/C][C]0.336184[/C][/ROW]
[ROW][C]6[/C][C]-0.16645[/C][C]-1.1411[/C][C]0.8702[/C][/ROW]
[ROW][C]7[/C][C]0.093526[/C][C]0.6412[/C][C]0.262259[/C][/ROW]
[ROW][C]8[/C][C]-0.17317[/C][C]-1.1872[/C][C]0.879442[/C][/ROW]
[ROW][C]9[/C][C]0.129188[/C][C]0.8857[/C][C]0.190154[/C][/ROW]
[ROW][C]10[/C][C]-0.044102[/C][C]-0.3024[/C][C]0.61814[/C][/ROW]
[ROW][C]11[/C][C]0.07876[/C][C]0.54[/C][C]0.295889[/C][/ROW]
[ROW][C]12[/C][C]-0.219691[/C][C]-1.5061[/C][C]0.930636[/C][/ROW]
[ROW][C]13[/C][C]-0.029648[/C][C]-0.2033[/C][C]0.580094[/C][/ROW]
[ROW][C]14[/C][C]-0.124881[/C][C]-0.8561[/C][C]0.801869[/C][/ROW]
[ROW][C]15[/C][C]-0.094003[/C][C]-0.6445[/C][C]0.738792[/C][/ROW]
[ROW][C]16[/C][C]-0.034927[/C][C]-0.2394[/C][C]0.594099[/C][/ROW]
[ROW][C]17[/C][C]-0.099277[/C][C]-0.6806[/C][C]0.750271[/C][/ROW]
[ROW][C]18[/C][C]0.146212[/C][C]1.0024[/C][C]0.160646[/C][/ROW]
[ROW][C]19[/C][C]-0.066485[/C][C]-0.4558[/C][C]0.674682[/C][/ROW]
[ROW][C]20[/C][C]0.251798[/C][C]1.7262[/C][C]0.045437[/C][/ROW]
[ROW][C]21[/C][C]0.038994[/C][C]0.2673[/C][C]0.395192[/C][/ROW]
[ROW][C]22[/C][C]-0.078115[/C][C]-0.5355[/C][C]0.702595[/C][/ROW]
[ROW][C]23[/C][C]0.041427[/C][C]0.284[/C][C]0.388826[/C][/ROW]
[ROW][C]24[/C][C]-0.058358[/C][C]-0.4001[/C][C]0.654545[/C][/ROW]
[ROW][C]25[/C][C]0.042904[/C][C]0.2941[/C][C]0.384975[/C][/ROW]
[ROW][C]26[/C][C]-0.053512[/C][C]-0.3669[/C][C]0.642315[/C][/ROW]
[ROW][C]27[/C][C]0.125822[/C][C]0.8626[/C][C]0.196371[/C][/ROW]
[ROW][C]28[/C][C]0.010901[/C][C]0.0747[/C][C]0.470373[/C][/ROW]
[ROW][C]29[/C][C]0.02554[/C][C]0.1751[/C][C]0.43088[/C][/ROW]
[ROW][C]30[/C][C]0.026675[/C][C]0.1829[/C][C]0.42784[/C][/ROW]
[ROW][C]31[/C][C]-0.116539[/C][C]-0.799[/C][C]0.785832[/C][/ROW]
[ROW][C]32[/C][C]0.020757[/C][C]0.1423[/C][C]0.443724[/C][/ROW]
[ROW][C]33[/C][C]-0.107357[/C][C]-0.736[/C][C]0.767306[/C][/ROW]
[ROW][C]34[/C][C]-0.080569[/C][C]-0.5524[/C][C]0.708339[/C][/ROW]
[ROW][C]35[/C][C]-0.038904[/C][C]-0.2667[/C][C]0.604571[/C][/ROW]
[ROW][C]36[/C][C]-0.046601[/C][C]-0.3195[/C][C]0.624612[/C][/ROW]
[ROW][C]37[/C][C]0.013803[/C][C]0.0946[/C][C]0.462506[/C][/ROW]
[ROW][C]38[/C][C]0.005966[/C][C]0.0409[/C][C]0.483775[/C][/ROW]
[ROW][C]39[/C][C]0.05642[/C][C]0.3868[/C][C]0.350327[/C][/ROW]
[ROW][C]40[/C][C]-0.010546[/C][C]-0.0723[/C][C]0.528664[/C][/ROW]
[ROW][C]41[/C][C]0.043521[/C][C]0.2984[/C][C]0.383369[/C][/ROW]
[ROW][C]42[/C][C]-0.055873[/C][C]-0.383[/C][C]0.648294[/C][/ROW]
[ROW][C]43[/C][C]0.001344[/C][C]0.0092[/C][C]0.496345[/C][/ROW]
[ROW][C]44[/C][C]-0.03027[/C][C]-0.2075[/C][C]0.58175[/C][/ROW]
[ROW][C]45[/C][C]-0.015268[/C][C]-0.1047[/C][C]0.541459[/C][/ROW]
[ROW][C]46[/C][C]-0.007351[/C][C]-0.0504[/C][C]0.51999[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3025&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3025&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
016.85570
1-0.166753-1.14320.870627
20.2341461.60520.057572
3-0.020158-0.13820.554661
4-0.010971-0.07520.529819
50.0620750.42560.336184
6-0.16645-1.14110.8702
70.0935260.64120.262259
8-0.17317-1.18720.879442
90.1291880.88570.190154
10-0.044102-0.30240.61814
110.078760.540.295889
12-0.219691-1.50610.930636
13-0.029648-0.20330.580094
14-0.124881-0.85610.801869
15-0.094003-0.64450.738792
16-0.034927-0.23940.594099
17-0.099277-0.68060.750271
180.1462121.00240.160646
19-0.066485-0.45580.674682
200.2517981.72620.045437
210.0389940.26730.395192
22-0.078115-0.53550.702595
230.0414270.2840.388826
24-0.058358-0.40010.654545
250.0429040.29410.384975
26-0.053512-0.36690.642315
270.1258220.86260.196371
280.0109010.07470.470373
290.025540.17510.43088
300.0266750.18290.42784
31-0.116539-0.7990.785832
320.0207570.14230.443724
33-0.107357-0.7360.767306
34-0.080569-0.55240.708339
35-0.038904-0.26670.604571
36-0.046601-0.31950.624612
370.0138030.09460.462506
380.0059660.04090.483775
390.056420.38680.350327
40-0.010546-0.07230.528664
410.0435210.29840.383369
42-0.055873-0.3830.648294
430.0013440.00920.496345
44-0.03027-0.20750.58175
45-0.015268-0.10470.541459
46-0.007351-0.05040.51999
47NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
0-0.166753-1.14320.870627
10.2122411.45510.076151
20.0495390.33960.367828
3-0.06132-0.42040.661941
40.0492540.33770.368557
5-0.145514-0.99760.838208
60.0300740.20620.418771
7-0.098253-0.67360.748064
80.0826420.56660.286852
90.0325440.22310.412207
100.0590350.40470.343758
11-0.266435-1.82660.962941
12-0.096369-0.66070.743977
13-0.110883-0.76020.774528
14-0.050322-0.3450.634181
15-0.048125-0.32990.628541
16-0.014177-0.09720.538508
170.0920620.63110.265503
180.0082410.05650.477592
190.1348010.92410.180065
200.1289820.88430.190529
21-0.169159-1.15970.873984
22-0.040097-0.27490.607698
23-0.016662-0.11420.545228
24-0.008894-0.0610.52418
25-0.00282-0.01930.50767
260.1124120.77070.222384
270.0196410.13470.446731
28-0.075818-0.51980.697173
29-0.055707-0.38190.647875
30-0.163746-1.12260.866342
310.0632780.43380.333204
320.0793730.54420.294454
33-0.110878-0.76010.774517
340.0180750.12390.450956
35-0.0209-0.14330.55666
36-0.037667-0.25820.601322
37-0.040898-0.28040.609792
380.0661450.45350.32615
390.009630.0660.473821
400.0011330.00780.496919
41-0.007384-0.05060.52008
42-0.030802-0.21120.583166
43-0.031688-0.21720.58552
44-0.047438-0.32520.626771
45-0.098785-0.67720.749212
46NANANA
47NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & -0.166753 & -1.1432 & 0.870627 \tabularnewline
1 & 0.212241 & 1.4551 & 0.076151 \tabularnewline
2 & 0.049539 & 0.3396 & 0.367828 \tabularnewline
3 & -0.06132 & -0.4204 & 0.661941 \tabularnewline
4 & 0.049254 & 0.3377 & 0.368557 \tabularnewline
5 & -0.145514 & -0.9976 & 0.838208 \tabularnewline
6 & 0.030074 & 0.2062 & 0.418771 \tabularnewline
7 & -0.098253 & -0.6736 & 0.748064 \tabularnewline
8 & 0.082642 & 0.5666 & 0.286852 \tabularnewline
9 & 0.032544 & 0.2231 & 0.412207 \tabularnewline
10 & 0.059035 & 0.4047 & 0.343758 \tabularnewline
11 & -0.266435 & -1.8266 & 0.962941 \tabularnewline
12 & -0.096369 & -0.6607 & 0.743977 \tabularnewline
13 & -0.110883 & -0.7602 & 0.774528 \tabularnewline
14 & -0.050322 & -0.345 & 0.634181 \tabularnewline
15 & -0.048125 & -0.3299 & 0.628541 \tabularnewline
16 & -0.014177 & -0.0972 & 0.538508 \tabularnewline
17 & 0.092062 & 0.6311 & 0.265503 \tabularnewline
18 & 0.008241 & 0.0565 & 0.477592 \tabularnewline
19 & 0.134801 & 0.9241 & 0.180065 \tabularnewline
20 & 0.128982 & 0.8843 & 0.190529 \tabularnewline
21 & -0.169159 & -1.1597 & 0.873984 \tabularnewline
22 & -0.040097 & -0.2749 & 0.607698 \tabularnewline
23 & -0.016662 & -0.1142 & 0.545228 \tabularnewline
24 & -0.008894 & -0.061 & 0.52418 \tabularnewline
25 & -0.00282 & -0.0193 & 0.50767 \tabularnewline
26 & 0.112412 & 0.7707 & 0.222384 \tabularnewline
27 & 0.019641 & 0.1347 & 0.446731 \tabularnewline
28 & -0.075818 & -0.5198 & 0.697173 \tabularnewline
29 & -0.055707 & -0.3819 & 0.647875 \tabularnewline
30 & -0.163746 & -1.1226 & 0.866342 \tabularnewline
31 & 0.063278 & 0.4338 & 0.333204 \tabularnewline
32 & 0.079373 & 0.5442 & 0.294454 \tabularnewline
33 & -0.110878 & -0.7601 & 0.774517 \tabularnewline
34 & 0.018075 & 0.1239 & 0.450956 \tabularnewline
35 & -0.0209 & -0.1433 & 0.55666 \tabularnewline
36 & -0.037667 & -0.2582 & 0.601322 \tabularnewline
37 & -0.040898 & -0.2804 & 0.609792 \tabularnewline
38 & 0.066145 & 0.4535 & 0.32615 \tabularnewline
39 & 0.00963 & 0.066 & 0.473821 \tabularnewline
40 & 0.001133 & 0.0078 & 0.496919 \tabularnewline
41 & -0.007384 & -0.0506 & 0.52008 \tabularnewline
42 & -0.030802 & -0.2112 & 0.583166 \tabularnewline
43 & -0.031688 & -0.2172 & 0.58552 \tabularnewline
44 & -0.047438 & -0.3252 & 0.626771 \tabularnewline
45 & -0.098785 & -0.6772 & 0.749212 \tabularnewline
46 & NA & NA & NA \tabularnewline
47 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3025&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]-0.166753[/C][C]-1.1432[/C][C]0.870627[/C][/ROW]
[ROW][C]1[/C][C]0.212241[/C][C]1.4551[/C][C]0.076151[/C][/ROW]
[ROW][C]2[/C][C]0.049539[/C][C]0.3396[/C][C]0.367828[/C][/ROW]
[ROW][C]3[/C][C]-0.06132[/C][C]-0.4204[/C][C]0.661941[/C][/ROW]
[ROW][C]4[/C][C]0.049254[/C][C]0.3377[/C][C]0.368557[/C][/ROW]
[ROW][C]5[/C][C]-0.145514[/C][C]-0.9976[/C][C]0.838208[/C][/ROW]
[ROW][C]6[/C][C]0.030074[/C][C]0.2062[/C][C]0.418771[/C][/ROW]
[ROW][C]7[/C][C]-0.098253[/C][C]-0.6736[/C][C]0.748064[/C][/ROW]
[ROW][C]8[/C][C]0.082642[/C][C]0.5666[/C][C]0.286852[/C][/ROW]
[ROW][C]9[/C][C]0.032544[/C][C]0.2231[/C][C]0.412207[/C][/ROW]
[ROW][C]10[/C][C]0.059035[/C][C]0.4047[/C][C]0.343758[/C][/ROW]
[ROW][C]11[/C][C]-0.266435[/C][C]-1.8266[/C][C]0.962941[/C][/ROW]
[ROW][C]12[/C][C]-0.096369[/C][C]-0.6607[/C][C]0.743977[/C][/ROW]
[ROW][C]13[/C][C]-0.110883[/C][C]-0.7602[/C][C]0.774528[/C][/ROW]
[ROW][C]14[/C][C]-0.050322[/C][C]-0.345[/C][C]0.634181[/C][/ROW]
[ROW][C]15[/C][C]-0.048125[/C][C]-0.3299[/C][C]0.628541[/C][/ROW]
[ROW][C]16[/C][C]-0.014177[/C][C]-0.0972[/C][C]0.538508[/C][/ROW]
[ROW][C]17[/C][C]0.092062[/C][C]0.6311[/C][C]0.265503[/C][/ROW]
[ROW][C]18[/C][C]0.008241[/C][C]0.0565[/C][C]0.477592[/C][/ROW]
[ROW][C]19[/C][C]0.134801[/C][C]0.9241[/C][C]0.180065[/C][/ROW]
[ROW][C]20[/C][C]0.128982[/C][C]0.8843[/C][C]0.190529[/C][/ROW]
[ROW][C]21[/C][C]-0.169159[/C][C]-1.1597[/C][C]0.873984[/C][/ROW]
[ROW][C]22[/C][C]-0.040097[/C][C]-0.2749[/C][C]0.607698[/C][/ROW]
[ROW][C]23[/C][C]-0.016662[/C][C]-0.1142[/C][C]0.545228[/C][/ROW]
[ROW][C]24[/C][C]-0.008894[/C][C]-0.061[/C][C]0.52418[/C][/ROW]
[ROW][C]25[/C][C]-0.00282[/C][C]-0.0193[/C][C]0.50767[/C][/ROW]
[ROW][C]26[/C][C]0.112412[/C][C]0.7707[/C][C]0.222384[/C][/ROW]
[ROW][C]27[/C][C]0.019641[/C][C]0.1347[/C][C]0.446731[/C][/ROW]
[ROW][C]28[/C][C]-0.075818[/C][C]-0.5198[/C][C]0.697173[/C][/ROW]
[ROW][C]29[/C][C]-0.055707[/C][C]-0.3819[/C][C]0.647875[/C][/ROW]
[ROW][C]30[/C][C]-0.163746[/C][C]-1.1226[/C][C]0.866342[/C][/ROW]
[ROW][C]31[/C][C]0.063278[/C][C]0.4338[/C][C]0.333204[/C][/ROW]
[ROW][C]32[/C][C]0.079373[/C][C]0.5442[/C][C]0.294454[/C][/ROW]
[ROW][C]33[/C][C]-0.110878[/C][C]-0.7601[/C][C]0.774517[/C][/ROW]
[ROW][C]34[/C][C]0.018075[/C][C]0.1239[/C][C]0.450956[/C][/ROW]
[ROW][C]35[/C][C]-0.0209[/C][C]-0.1433[/C][C]0.55666[/C][/ROW]
[ROW][C]36[/C][C]-0.037667[/C][C]-0.2582[/C][C]0.601322[/C][/ROW]
[ROW][C]37[/C][C]-0.040898[/C][C]-0.2804[/C][C]0.609792[/C][/ROW]
[ROW][C]38[/C][C]0.066145[/C][C]0.4535[/C][C]0.32615[/C][/ROW]
[ROW][C]39[/C][C]0.00963[/C][C]0.066[/C][C]0.473821[/C][/ROW]
[ROW][C]40[/C][C]0.001133[/C][C]0.0078[/C][C]0.496919[/C][/ROW]
[ROW][C]41[/C][C]-0.007384[/C][C]-0.0506[/C][C]0.52008[/C][/ROW]
[ROW][C]42[/C][C]-0.030802[/C][C]-0.2112[/C][C]0.583166[/C][/ROW]
[ROW][C]43[/C][C]-0.031688[/C][C]-0.2172[/C][C]0.58552[/C][/ROW]
[ROW][C]44[/C][C]-0.047438[/C][C]-0.3252[/C][C]0.626771[/C][/ROW]
[ROW][C]45[/C][C]-0.098785[/C][C]-0.6772[/C][C]0.749212[/C][/ROW]
[ROW][C]46[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3025&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3025&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
0-0.166753-1.14320.870627
10.2122411.45510.076151
20.0495390.33960.367828
3-0.06132-0.42040.661941
40.0492540.33770.368557
5-0.145514-0.99760.838208
60.0300740.20620.418771
7-0.098253-0.67360.748064
80.0826420.56660.286852
90.0325440.22310.412207
100.0590350.40470.343758
11-0.266435-1.82660.962941
12-0.096369-0.66070.743977
13-0.110883-0.76020.774528
14-0.050322-0.3450.634181
15-0.048125-0.32990.628541
16-0.014177-0.09720.538508
170.0920620.63110.265503
180.0082410.05650.477592
190.1348010.92410.180065
200.1289820.88430.190529
21-0.169159-1.15970.873984
22-0.040097-0.27490.607698
23-0.016662-0.11420.545228
24-0.008894-0.0610.52418
25-0.00282-0.01930.50767
260.1124120.77070.222384
270.0196410.13470.446731
28-0.075818-0.51980.697173
29-0.055707-0.38190.647875
30-0.163746-1.12260.866342
310.0632780.43380.333204
320.0793730.54420.294454
33-0.110878-0.76010.774517
340.0180750.12390.450956
35-0.0209-0.14330.55666
36-0.037667-0.25820.601322
37-0.040898-0.28040.609792
380.0661450.45350.32615
390.009630.0660.473821
400.0011330.00780.496919
41-0.007384-0.05060.52008
42-0.030802-0.21120.583166
43-0.031688-0.21720.58552
44-0.047438-0.32520.626771
45-0.098785-0.67720.749212
46NANANA
47NANANA



Parameters (Session):
par1 = 48 ; par2 = 1.2 ; par3 = 1 ; par4 = 1 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = 1.2 ; 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')