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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, 02 Jun 2009 08:21:36 -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/02/t12439525604r4zpfa4sz2wk7v.htm/, Retrieved Fri, 10 May 2024 16:26:49 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=41231, Retrieved Fri, 10 May 2024 16:26:49 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact149
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Autocorrelation ...] [2009-06-02 14:21:36] [497dd3403aa93022e6ec9f5d7facee10] [Current]
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Dataseries X:
310.95
312.97
315.07
315.43
315.73
315.77
315.77
315.77
313.99
314.57
314.63
314.65
314.65
314.93
315.27
316.26
316.98
317.01
317.07
317.07
317
317.08
317.04
317
317.05
321.59
325.59
326.23
326.28
326.35
326.35
326.35
326.39
326.74
326.9
326.9
326.91
336.93
348.5
349.43
349.26
349.26
349.28
349.61
349.66
349.68
349.91
349.91
350.89
355.52
356.36
357.04
360.28
360.63
360.79
360.97
361
361.01
361
361
361.58
363.19
363.61
364.14
365.51
365.51
365.5
365.5
364.59
364.63
364.54
363.67
365.22
369.05
370.45
370.46
370.46
370.58
370.58
370.22
370.21
370.29
370.29
370.2
370.2
372.55
374.51
375.58
375.75
375.75
375.75
375.69
375.76
377.5
377.51
377.74




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=41231&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=41231&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41231&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'George Udny Yule' @ 72.249.76.132







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.4439634.32721.9e-05
2-0.067981-0.66260.254596
3-0.073104-0.71250.238941
4-0.107776-1.05050.148082
5-0.122163-1.19070.118369
6-0.134976-1.31560.095739
7-0.144914-1.41240.080544
8-0.102172-0.99580.160928
9-0.079778-0.77760.219374
10-0.027365-0.26670.395133
110.2826372.75480.00352
120.452514.41051.4e-05
130.1815581.76960.040001
140.0523670.51040.305474
15-0.000736-0.00720.497147
16-0.11662-1.13670.129267
17-0.15212-1.48270.070735
18-0.162183-1.58080.058628
19-0.156917-1.52940.06474
20-0.103221-1.00610.158467
21-0.054976-0.53580.296659
22-0.011917-0.11610.453889
230.1412941.37720.085849
240.1682161.63960.052201
250.0120990.11790.453187
260.0104320.10170.459613
27-0.02668-0.260.397698
28-0.096541-0.9410.174555
29-0.156232-1.52280.06557
30-0.223336-2.17680.015987
31-0.156425-1.52460.065336
32-0.117164-1.1420.128167
33-0.109077-1.06310.145205
34-0.016421-0.16010.43659
350.2032341.98090.025248
360.272142.65250.004682
370.0813060.79250.21503
38-0.029358-0.28610.387696
39-0.045519-0.44370.329146
40-0.071685-0.69870.243223
41-0.10646-1.03760.151036
42-0.108466-1.05720.146552
43-0.087705-0.85480.197395
44-0.070438-0.68650.24702
45-0.081356-0.7930.214889
46-0.044496-0.43370.332748
470.1348171.3140.095999
480.1971651.92170.028819

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.443963 & 4.3272 & 1.9e-05 \tabularnewline
2 & -0.067981 & -0.6626 & 0.254596 \tabularnewline
3 & -0.073104 & -0.7125 & 0.238941 \tabularnewline
4 & -0.107776 & -1.0505 & 0.148082 \tabularnewline
5 & -0.122163 & -1.1907 & 0.118369 \tabularnewline
6 & -0.134976 & -1.3156 & 0.095739 \tabularnewline
7 & -0.144914 & -1.4124 & 0.080544 \tabularnewline
8 & -0.102172 & -0.9958 & 0.160928 \tabularnewline
9 & -0.079778 & -0.7776 & 0.219374 \tabularnewline
10 & -0.027365 & -0.2667 & 0.395133 \tabularnewline
11 & 0.282637 & 2.7548 & 0.00352 \tabularnewline
12 & 0.45251 & 4.4105 & 1.4e-05 \tabularnewline
13 & 0.181558 & 1.7696 & 0.040001 \tabularnewline
14 & 0.052367 & 0.5104 & 0.305474 \tabularnewline
15 & -0.000736 & -0.0072 & 0.497147 \tabularnewline
16 & -0.11662 & -1.1367 & 0.129267 \tabularnewline
17 & -0.15212 & -1.4827 & 0.070735 \tabularnewline
18 & -0.162183 & -1.5808 & 0.058628 \tabularnewline
19 & -0.156917 & -1.5294 & 0.06474 \tabularnewline
20 & -0.103221 & -1.0061 & 0.158467 \tabularnewline
21 & -0.054976 & -0.5358 & 0.296659 \tabularnewline
22 & -0.011917 & -0.1161 & 0.453889 \tabularnewline
23 & 0.141294 & 1.3772 & 0.085849 \tabularnewline
24 & 0.168216 & 1.6396 & 0.052201 \tabularnewline
25 & 0.012099 & 0.1179 & 0.453187 \tabularnewline
26 & 0.010432 & 0.1017 & 0.459613 \tabularnewline
27 & -0.02668 & -0.26 & 0.397698 \tabularnewline
28 & -0.096541 & -0.941 & 0.174555 \tabularnewline
29 & -0.156232 & -1.5228 & 0.06557 \tabularnewline
30 & -0.223336 & -2.1768 & 0.015987 \tabularnewline
31 & -0.156425 & -1.5246 & 0.065336 \tabularnewline
32 & -0.117164 & -1.142 & 0.128167 \tabularnewline
33 & -0.109077 & -1.0631 & 0.145205 \tabularnewline
34 & -0.016421 & -0.1601 & 0.43659 \tabularnewline
35 & 0.203234 & 1.9809 & 0.025248 \tabularnewline
36 & 0.27214 & 2.6525 & 0.004682 \tabularnewline
37 & 0.081306 & 0.7925 & 0.21503 \tabularnewline
38 & -0.029358 & -0.2861 & 0.387696 \tabularnewline
39 & -0.045519 & -0.4437 & 0.329146 \tabularnewline
40 & -0.071685 & -0.6987 & 0.243223 \tabularnewline
41 & -0.10646 & -1.0376 & 0.151036 \tabularnewline
42 & -0.108466 & -1.0572 & 0.146552 \tabularnewline
43 & -0.087705 & -0.8548 & 0.197395 \tabularnewline
44 & -0.070438 & -0.6865 & 0.24702 \tabularnewline
45 & -0.081356 & -0.793 & 0.214889 \tabularnewline
46 & -0.044496 & -0.4337 & 0.332748 \tabularnewline
47 & 0.134817 & 1.314 & 0.095999 \tabularnewline
48 & 0.197165 & 1.9217 & 0.028819 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=41231&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]0.443963[/C][C]4.3272[/C][C]1.9e-05[/C][/ROW]
[ROW][C]2[/C][C]-0.067981[/C][C]-0.6626[/C][C]0.254596[/C][/ROW]
[ROW][C]3[/C][C]-0.073104[/C][C]-0.7125[/C][C]0.238941[/C][/ROW]
[ROW][C]4[/C][C]-0.107776[/C][C]-1.0505[/C][C]0.148082[/C][/ROW]
[ROW][C]5[/C][C]-0.122163[/C][C]-1.1907[/C][C]0.118369[/C][/ROW]
[ROW][C]6[/C][C]-0.134976[/C][C]-1.3156[/C][C]0.095739[/C][/ROW]
[ROW][C]7[/C][C]-0.144914[/C][C]-1.4124[/C][C]0.080544[/C][/ROW]
[ROW][C]8[/C][C]-0.102172[/C][C]-0.9958[/C][C]0.160928[/C][/ROW]
[ROW][C]9[/C][C]-0.079778[/C][C]-0.7776[/C][C]0.219374[/C][/ROW]
[ROW][C]10[/C][C]-0.027365[/C][C]-0.2667[/C][C]0.395133[/C][/ROW]
[ROW][C]11[/C][C]0.282637[/C][C]2.7548[/C][C]0.00352[/C][/ROW]
[ROW][C]12[/C][C]0.45251[/C][C]4.4105[/C][C]1.4e-05[/C][/ROW]
[ROW][C]13[/C][C]0.181558[/C][C]1.7696[/C][C]0.040001[/C][/ROW]
[ROW][C]14[/C][C]0.052367[/C][C]0.5104[/C][C]0.305474[/C][/ROW]
[ROW][C]15[/C][C]-0.000736[/C][C]-0.0072[/C][C]0.497147[/C][/ROW]
[ROW][C]16[/C][C]-0.11662[/C][C]-1.1367[/C][C]0.129267[/C][/ROW]
[ROW][C]17[/C][C]-0.15212[/C][C]-1.4827[/C][C]0.070735[/C][/ROW]
[ROW][C]18[/C][C]-0.162183[/C][C]-1.5808[/C][C]0.058628[/C][/ROW]
[ROW][C]19[/C][C]-0.156917[/C][C]-1.5294[/C][C]0.06474[/C][/ROW]
[ROW][C]20[/C][C]-0.103221[/C][C]-1.0061[/C][C]0.158467[/C][/ROW]
[ROW][C]21[/C][C]-0.054976[/C][C]-0.5358[/C][C]0.296659[/C][/ROW]
[ROW][C]22[/C][C]-0.011917[/C][C]-0.1161[/C][C]0.453889[/C][/ROW]
[ROW][C]23[/C][C]0.141294[/C][C]1.3772[/C][C]0.085849[/C][/ROW]
[ROW][C]24[/C][C]0.168216[/C][C]1.6396[/C][C]0.052201[/C][/ROW]
[ROW][C]25[/C][C]0.012099[/C][C]0.1179[/C][C]0.453187[/C][/ROW]
[ROW][C]26[/C][C]0.010432[/C][C]0.1017[/C][C]0.459613[/C][/ROW]
[ROW][C]27[/C][C]-0.02668[/C][C]-0.26[/C][C]0.397698[/C][/ROW]
[ROW][C]28[/C][C]-0.096541[/C][C]-0.941[/C][C]0.174555[/C][/ROW]
[ROW][C]29[/C][C]-0.156232[/C][C]-1.5228[/C][C]0.06557[/C][/ROW]
[ROW][C]30[/C][C]-0.223336[/C][C]-2.1768[/C][C]0.015987[/C][/ROW]
[ROW][C]31[/C][C]-0.156425[/C][C]-1.5246[/C][C]0.065336[/C][/ROW]
[ROW][C]32[/C][C]-0.117164[/C][C]-1.142[/C][C]0.128167[/C][/ROW]
[ROW][C]33[/C][C]-0.109077[/C][C]-1.0631[/C][C]0.145205[/C][/ROW]
[ROW][C]34[/C][C]-0.016421[/C][C]-0.1601[/C][C]0.43659[/C][/ROW]
[ROW][C]35[/C][C]0.203234[/C][C]1.9809[/C][C]0.025248[/C][/ROW]
[ROW][C]36[/C][C]0.27214[/C][C]2.6525[/C][C]0.004682[/C][/ROW]
[ROW][C]37[/C][C]0.081306[/C][C]0.7925[/C][C]0.21503[/C][/ROW]
[ROW][C]38[/C][C]-0.029358[/C][C]-0.2861[/C][C]0.387696[/C][/ROW]
[ROW][C]39[/C][C]-0.045519[/C][C]-0.4437[/C][C]0.329146[/C][/ROW]
[ROW][C]40[/C][C]-0.071685[/C][C]-0.6987[/C][C]0.243223[/C][/ROW]
[ROW][C]41[/C][C]-0.10646[/C][C]-1.0376[/C][C]0.151036[/C][/ROW]
[ROW][C]42[/C][C]-0.108466[/C][C]-1.0572[/C][C]0.146552[/C][/ROW]
[ROW][C]43[/C][C]-0.087705[/C][C]-0.8548[/C][C]0.197395[/C][/ROW]
[ROW][C]44[/C][C]-0.070438[/C][C]-0.6865[/C][C]0.24702[/C][/ROW]
[ROW][C]45[/C][C]-0.081356[/C][C]-0.793[/C][C]0.214889[/C][/ROW]
[ROW][C]46[/C][C]-0.044496[/C][C]-0.4337[/C][C]0.332748[/C][/ROW]
[ROW][C]47[/C][C]0.134817[/C][C]1.314[/C][C]0.095999[/C][/ROW]
[ROW][C]48[/C][C]0.197165[/C][C]1.9217[/C][C]0.028819[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=41231&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41231&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
10.4439634.32721.9e-05
2-0.067981-0.66260.254596
3-0.073104-0.71250.238941
4-0.107776-1.05050.148082
5-0.122163-1.19070.118369
6-0.134976-1.31560.095739
7-0.144914-1.41240.080544
8-0.102172-0.99580.160928
9-0.079778-0.77760.219374
10-0.027365-0.26670.395133
110.2826372.75480.00352
120.452514.41051.4e-05
130.1815581.76960.040001
140.0523670.51040.305474
15-0.000736-0.00720.497147
16-0.11662-1.13670.129267
17-0.15212-1.48270.070735
18-0.162183-1.58080.058628
19-0.156917-1.52940.06474
20-0.103221-1.00610.158467
21-0.054976-0.53580.296659
22-0.011917-0.11610.453889
230.1412941.37720.085849
240.1682161.63960.052201
250.0120990.11790.453187
260.0104320.10170.459613
27-0.02668-0.260.397698
28-0.096541-0.9410.174555
29-0.156232-1.52280.06557
30-0.223336-2.17680.015987
31-0.156425-1.52460.065336
32-0.117164-1.1420.128167
33-0.109077-1.06310.145205
34-0.016421-0.16010.43659
350.2032341.98090.025248
360.272142.65250.004682
370.0813060.79250.21503
38-0.029358-0.28610.387696
39-0.045519-0.44370.329146
40-0.071685-0.69870.243223
41-0.10646-1.03760.151036
42-0.108466-1.05720.146552
43-0.087705-0.85480.197395
44-0.070438-0.68650.24702
45-0.081356-0.7930.214889
46-0.044496-0.43370.332748
470.1348171.3140.095999
480.1971651.92170.028819







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.4439634.32721.9e-05
2-0.330159-3.2180.000883
30.1588251.5480.06247
4-0.229597-2.23780.013784
50.0540770.52710.299685
6-0.191419-1.86570.032583
7-0.013288-0.12950.44861
8-0.101618-0.99040.162236
9-0.054979-0.53590.296652
10-0.009555-0.09310.462999
110.3773373.67780.000195
120.108941.06180.145506
13-0.036063-0.35150.362995
140.1636111.59470.057052
15-0.121366-1.18290.119895
160.0279030.2720.393121
17-0.109525-1.06750.144222
180.0138970.13540.446272
19-0.096515-0.94070.17462
200.0330870.32250.373894
21-0.024734-0.24110.405007
22-0.041879-0.40820.342027
23-0.007591-0.0740.470586
24-0.081158-0.7910.215449
25-0.101875-0.9930.161628
26-0.00711-0.06930.47245
27-0.090969-0.88670.188751
280.0236210.23020.409206
29-0.163733-1.59590.056919
30-0.039238-0.38240.351492
31-0.027521-0.26820.394546
32-0.16468-1.60510.055895
33-0.027202-0.26510.39574
34-0.068728-0.66990.252281
350.2114392.06090.021025
360.0542290.52860.299172
37-0.017417-0.16980.432778
38-0.025926-0.25270.400526
390.0257660.25110.401125
40-0.065361-0.63710.26281
410.082740.80650.210998
420.0029370.02860.488611
430.0247710.24140.404867
440.0901990.87920.190769
45-0.097956-0.95480.171062
46-0.019779-0.19280.423771
47-0.099674-0.97150.166884
48-0.00017-0.00170.49934

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.443963 & 4.3272 & 1.9e-05 \tabularnewline
2 & -0.330159 & -3.218 & 0.000883 \tabularnewline
3 & 0.158825 & 1.548 & 0.06247 \tabularnewline
4 & -0.229597 & -2.2378 & 0.013784 \tabularnewline
5 & 0.054077 & 0.5271 & 0.299685 \tabularnewline
6 & -0.191419 & -1.8657 & 0.032583 \tabularnewline
7 & -0.013288 & -0.1295 & 0.44861 \tabularnewline
8 & -0.101618 & -0.9904 & 0.162236 \tabularnewline
9 & -0.054979 & -0.5359 & 0.296652 \tabularnewline
10 & -0.009555 & -0.0931 & 0.462999 \tabularnewline
11 & 0.377337 & 3.6778 & 0.000195 \tabularnewline
12 & 0.10894 & 1.0618 & 0.145506 \tabularnewline
13 & -0.036063 & -0.3515 & 0.362995 \tabularnewline
14 & 0.163611 & 1.5947 & 0.057052 \tabularnewline
15 & -0.121366 & -1.1829 & 0.119895 \tabularnewline
16 & 0.027903 & 0.272 & 0.393121 \tabularnewline
17 & -0.109525 & -1.0675 & 0.144222 \tabularnewline
18 & 0.013897 & 0.1354 & 0.446272 \tabularnewline
19 & -0.096515 & -0.9407 & 0.17462 \tabularnewline
20 & 0.033087 & 0.3225 & 0.373894 \tabularnewline
21 & -0.024734 & -0.2411 & 0.405007 \tabularnewline
22 & -0.041879 & -0.4082 & 0.342027 \tabularnewline
23 & -0.007591 & -0.074 & 0.470586 \tabularnewline
24 & -0.081158 & -0.791 & 0.215449 \tabularnewline
25 & -0.101875 & -0.993 & 0.161628 \tabularnewline
26 & -0.00711 & -0.0693 & 0.47245 \tabularnewline
27 & -0.090969 & -0.8867 & 0.188751 \tabularnewline
28 & 0.023621 & 0.2302 & 0.409206 \tabularnewline
29 & -0.163733 & -1.5959 & 0.056919 \tabularnewline
30 & -0.039238 & -0.3824 & 0.351492 \tabularnewline
31 & -0.027521 & -0.2682 & 0.394546 \tabularnewline
32 & -0.16468 & -1.6051 & 0.055895 \tabularnewline
33 & -0.027202 & -0.2651 & 0.39574 \tabularnewline
34 & -0.068728 & -0.6699 & 0.252281 \tabularnewline
35 & 0.211439 & 2.0609 & 0.021025 \tabularnewline
36 & 0.054229 & 0.5286 & 0.299172 \tabularnewline
37 & -0.017417 & -0.1698 & 0.432778 \tabularnewline
38 & -0.025926 & -0.2527 & 0.400526 \tabularnewline
39 & 0.025766 & 0.2511 & 0.401125 \tabularnewline
40 & -0.065361 & -0.6371 & 0.26281 \tabularnewline
41 & 0.08274 & 0.8065 & 0.210998 \tabularnewline
42 & 0.002937 & 0.0286 & 0.488611 \tabularnewline
43 & 0.024771 & 0.2414 & 0.404867 \tabularnewline
44 & 0.090199 & 0.8792 & 0.190769 \tabularnewline
45 & -0.097956 & -0.9548 & 0.171062 \tabularnewline
46 & -0.019779 & -0.1928 & 0.423771 \tabularnewline
47 & -0.099674 & -0.9715 & 0.166884 \tabularnewline
48 & -0.00017 & -0.0017 & 0.49934 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=41231&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]0.443963[/C][C]4.3272[/C][C]1.9e-05[/C][/ROW]
[ROW][C]2[/C][C]-0.330159[/C][C]-3.218[/C][C]0.000883[/C][/ROW]
[ROW][C]3[/C][C]0.158825[/C][C]1.548[/C][C]0.06247[/C][/ROW]
[ROW][C]4[/C][C]-0.229597[/C][C]-2.2378[/C][C]0.013784[/C][/ROW]
[ROW][C]5[/C][C]0.054077[/C][C]0.5271[/C][C]0.299685[/C][/ROW]
[ROW][C]6[/C][C]-0.191419[/C][C]-1.8657[/C][C]0.032583[/C][/ROW]
[ROW][C]7[/C][C]-0.013288[/C][C]-0.1295[/C][C]0.44861[/C][/ROW]
[ROW][C]8[/C][C]-0.101618[/C][C]-0.9904[/C][C]0.162236[/C][/ROW]
[ROW][C]9[/C][C]-0.054979[/C][C]-0.5359[/C][C]0.296652[/C][/ROW]
[ROW][C]10[/C][C]-0.009555[/C][C]-0.0931[/C][C]0.462999[/C][/ROW]
[ROW][C]11[/C][C]0.377337[/C][C]3.6778[/C][C]0.000195[/C][/ROW]
[ROW][C]12[/C][C]0.10894[/C][C]1.0618[/C][C]0.145506[/C][/ROW]
[ROW][C]13[/C][C]-0.036063[/C][C]-0.3515[/C][C]0.362995[/C][/ROW]
[ROW][C]14[/C][C]0.163611[/C][C]1.5947[/C][C]0.057052[/C][/ROW]
[ROW][C]15[/C][C]-0.121366[/C][C]-1.1829[/C][C]0.119895[/C][/ROW]
[ROW][C]16[/C][C]0.027903[/C][C]0.272[/C][C]0.393121[/C][/ROW]
[ROW][C]17[/C][C]-0.109525[/C][C]-1.0675[/C][C]0.144222[/C][/ROW]
[ROW][C]18[/C][C]0.013897[/C][C]0.1354[/C][C]0.446272[/C][/ROW]
[ROW][C]19[/C][C]-0.096515[/C][C]-0.9407[/C][C]0.17462[/C][/ROW]
[ROW][C]20[/C][C]0.033087[/C][C]0.3225[/C][C]0.373894[/C][/ROW]
[ROW][C]21[/C][C]-0.024734[/C][C]-0.2411[/C][C]0.405007[/C][/ROW]
[ROW][C]22[/C][C]-0.041879[/C][C]-0.4082[/C][C]0.342027[/C][/ROW]
[ROW][C]23[/C][C]-0.007591[/C][C]-0.074[/C][C]0.470586[/C][/ROW]
[ROW][C]24[/C][C]-0.081158[/C][C]-0.791[/C][C]0.215449[/C][/ROW]
[ROW][C]25[/C][C]-0.101875[/C][C]-0.993[/C][C]0.161628[/C][/ROW]
[ROW][C]26[/C][C]-0.00711[/C][C]-0.0693[/C][C]0.47245[/C][/ROW]
[ROW][C]27[/C][C]-0.090969[/C][C]-0.8867[/C][C]0.188751[/C][/ROW]
[ROW][C]28[/C][C]0.023621[/C][C]0.2302[/C][C]0.409206[/C][/ROW]
[ROW][C]29[/C][C]-0.163733[/C][C]-1.5959[/C][C]0.056919[/C][/ROW]
[ROW][C]30[/C][C]-0.039238[/C][C]-0.3824[/C][C]0.351492[/C][/ROW]
[ROW][C]31[/C][C]-0.027521[/C][C]-0.2682[/C][C]0.394546[/C][/ROW]
[ROW][C]32[/C][C]-0.16468[/C][C]-1.6051[/C][C]0.055895[/C][/ROW]
[ROW][C]33[/C][C]-0.027202[/C][C]-0.2651[/C][C]0.39574[/C][/ROW]
[ROW][C]34[/C][C]-0.068728[/C][C]-0.6699[/C][C]0.252281[/C][/ROW]
[ROW][C]35[/C][C]0.211439[/C][C]2.0609[/C][C]0.021025[/C][/ROW]
[ROW][C]36[/C][C]0.054229[/C][C]0.5286[/C][C]0.299172[/C][/ROW]
[ROW][C]37[/C][C]-0.017417[/C][C]-0.1698[/C][C]0.432778[/C][/ROW]
[ROW][C]38[/C][C]-0.025926[/C][C]-0.2527[/C][C]0.400526[/C][/ROW]
[ROW][C]39[/C][C]0.025766[/C][C]0.2511[/C][C]0.401125[/C][/ROW]
[ROW][C]40[/C][C]-0.065361[/C][C]-0.6371[/C][C]0.26281[/C][/ROW]
[ROW][C]41[/C][C]0.08274[/C][C]0.8065[/C][C]0.210998[/C][/ROW]
[ROW][C]42[/C][C]0.002937[/C][C]0.0286[/C][C]0.488611[/C][/ROW]
[ROW][C]43[/C][C]0.024771[/C][C]0.2414[/C][C]0.404867[/C][/ROW]
[ROW][C]44[/C][C]0.090199[/C][C]0.8792[/C][C]0.190769[/C][/ROW]
[ROW][C]45[/C][C]-0.097956[/C][C]-0.9548[/C][C]0.171062[/C][/ROW]
[ROW][C]46[/C][C]-0.019779[/C][C]-0.1928[/C][C]0.423771[/C][/ROW]
[ROW][C]47[/C][C]-0.099674[/C][C]-0.9715[/C][C]0.166884[/C][/ROW]
[ROW][C]48[/C][C]-0.00017[/C][C]-0.0017[/C][C]0.49934[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=41231&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41231&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
10.4439634.32721.9e-05
2-0.330159-3.2180.000883
30.1588251.5480.06247
4-0.229597-2.23780.013784
50.0540770.52710.299685
6-0.191419-1.86570.032583
7-0.013288-0.12950.44861
8-0.101618-0.99040.162236
9-0.054979-0.53590.296652
10-0.009555-0.09310.462999
110.3773373.67780.000195
120.108941.06180.145506
13-0.036063-0.35150.362995
140.1636111.59470.057052
15-0.121366-1.18290.119895
160.0279030.2720.393121
17-0.109525-1.06750.144222
180.0138970.13540.446272
19-0.096515-0.94070.17462
200.0330870.32250.373894
21-0.024734-0.24110.405007
22-0.041879-0.40820.342027
23-0.007591-0.0740.470586
24-0.081158-0.7910.215449
25-0.101875-0.9930.161628
26-0.00711-0.06930.47245
27-0.090969-0.88670.188751
280.0236210.23020.409206
29-0.163733-1.59590.056919
30-0.039238-0.38240.351492
31-0.027521-0.26820.394546
32-0.16468-1.60510.055895
33-0.027202-0.26510.39574
34-0.068728-0.66990.252281
350.2114392.06090.021025
360.0542290.52860.299172
37-0.017417-0.16980.432778
38-0.025926-0.25270.400526
390.0257660.25110.401125
40-0.065361-0.63710.26281
410.082740.80650.210998
420.0029370.02860.488611
430.0247710.24140.404867
440.0901990.87920.190769
45-0.097956-0.95480.171062
46-0.019779-0.19280.423771
47-0.099674-0.97150.166884
48-0.00017-0.00170.49934



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')