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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationWed, 19 Aug 2009 08:06:37 -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/Aug/19/t1250690838pw4h4mcy91ocxnd.htm/, Retrieved Tue, 07 May 2024 22:26:48 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=42946, Retrieved Tue, 07 May 2024 22:26:48 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact188
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Central Tendency] [Thomas Van den Bo...] [2009-04-22 20:03:59] [29fb2afdd4eca1705c3ee13bfc104084]
- RMPD    [(Partial) Autocorrelation Function] [Thomas Van den Bo...] [2009-08-19 14:06:37] [0d1085ed835696cdd537ad5fa07600ec] [Current]
-           [(Partial) Autocorrelation Function] [Thomas Van den Bo...] [2009-08-19 14:09:14] [f85cc8f00ef4b762f0a6fdfddc793773]
- RM D      [Bootstrap Plot - Central Tendency] [Thomas Van den Bo...] [2009-08-19 14:18:29] [f85cc8f00ef4b762f0a6fdfddc793773]
- RM D      [Blocked Bootstrap Plot - Central Tendency] [Thomas Van den Bo...] [2009-08-19 14:50:42] [f85cc8f00ef4b762f0a6fdfddc793773]
- RM D      [Variability] [Thomas Van den Bo...] [2009-08-19 15:10:16] [29fb2afdd4eca1705c3ee13bfc104084]
- RM D      [Variability] [Thomas Van den Bo...] [2009-08-19 15:14:55] [29fb2afdd4eca1705c3ee13bfc104084]
- RM        [Standard Deviation Plot] [Thomas Van den Bo...] [2009-08-19 15:17:55] [29fb2afdd4eca1705c3ee13bfc104084]
- RM        [Standard Deviation-Mean Plot] [Thomas Van den Bo...] [2009-08-19 15:25:16] [29fb2afdd4eca1705c3ee13bfc104084]
- RM        [Classical Decomposition] [Thomas Van den Bo...] [2009-08-19 15:35:38] [29fb2afdd4eca1705c3ee13bfc104084]
- RM        [Exponential Smoothing] [Thomas van den Bo...] [2009-08-19 15:48:41] [29fb2afdd4eca1705c3ee13bfc104084]
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Dataseries X:
5.93
5.9
5.9
5.94
5.86
5.92
5.9
5.91
5.84
5.84
5.83
5.82
5.8
5.91
5.92
5.96
5.9
5.92
6.09
6.31
6.25
6.23
6.22
6.19
6.15
6.12
6.13
6.1
6.05
6.07
6.09
6.17
6.12
6.12
6.13
6.19
6.24
6.41
6.5
6.53
6.58
6.53
6.51
6.51
6.49
6.49
6.49
6.53
6.65
6.61
6.52
6.62
6.6
6.61
6.63
6.62
6.6
6.59
6.59
6.52
6.52
6.61
6.59
6.6
6.48
6.53
6.56
6.56
6.49
6.45
6.44
6.43




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=42946&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=42946&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42946&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
10.9647048.18580
20.9213677.81810
30.879257.46070
40.8414887.14030
50.7932636.73110
60.748166.34830
70.7014015.95160
80.6606125.60550
90.6114155.1881e-06
100.5657414.80054e-06
110.520924.42021.7e-05
120.4818364.08855.6e-05
130.4385613.72130.000195
140.4018673.410.000534
150.3643813.09190.001414
160.3342392.83610.002963
170.2968532.51890.006997
180.2577542.18710.015992
190.2197731.86480.03314
200.1906511.61770.055047
210.1550721.31580.096202
220.120551.02290.15489
230.0829780.70410.241824
240.0437030.37080.355925
250.0023530.020.492061
26-0.039942-0.33890.367827
27-0.08121-0.68910.24649
28-0.120258-1.02040.155471
29-0.16246-1.37850.086156
30-0.205336-1.74230.04286
31-0.24979-2.11950.018747
32-0.282177-2.39440.009628
33-0.317281-2.69220.004411
34-0.34971-2.96740.002037
35-0.379965-3.22410.00095
36-0.404827-3.43510.000493
37-0.425332-3.60910.000282
38-0.430662-3.65430.000243
39-0.429415-3.64370.000252
40-0.425364-3.60930.000282
41-0.417039-3.53870.000354
42-0.40809-3.46280.000452
43-0.403778-3.42620.000507
44-0.401224-3.40450.000543
45-0.40138-3.40580.000541
46-0.396964-3.36840.000609
47-0.392019-3.32640.000694
48-0.385533-3.27140.000822

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.964704 & 8.1858 & 0 \tabularnewline
2 & 0.921367 & 7.8181 & 0 \tabularnewline
3 & 0.87925 & 7.4607 & 0 \tabularnewline
4 & 0.841488 & 7.1403 & 0 \tabularnewline
5 & 0.793263 & 6.7311 & 0 \tabularnewline
6 & 0.74816 & 6.3483 & 0 \tabularnewline
7 & 0.701401 & 5.9516 & 0 \tabularnewline
8 & 0.660612 & 5.6055 & 0 \tabularnewline
9 & 0.611415 & 5.188 & 1e-06 \tabularnewline
10 & 0.565741 & 4.8005 & 4e-06 \tabularnewline
11 & 0.52092 & 4.4202 & 1.7e-05 \tabularnewline
12 & 0.481836 & 4.0885 & 5.6e-05 \tabularnewline
13 & 0.438561 & 3.7213 & 0.000195 \tabularnewline
14 & 0.401867 & 3.41 & 0.000534 \tabularnewline
15 & 0.364381 & 3.0919 & 0.001414 \tabularnewline
16 & 0.334239 & 2.8361 & 0.002963 \tabularnewline
17 & 0.296853 & 2.5189 & 0.006997 \tabularnewline
18 & 0.257754 & 2.1871 & 0.015992 \tabularnewline
19 & 0.219773 & 1.8648 & 0.03314 \tabularnewline
20 & 0.190651 & 1.6177 & 0.055047 \tabularnewline
21 & 0.155072 & 1.3158 & 0.096202 \tabularnewline
22 & 0.12055 & 1.0229 & 0.15489 \tabularnewline
23 & 0.082978 & 0.7041 & 0.241824 \tabularnewline
24 & 0.043703 & 0.3708 & 0.355925 \tabularnewline
25 & 0.002353 & 0.02 & 0.492061 \tabularnewline
26 & -0.039942 & -0.3389 & 0.367827 \tabularnewline
27 & -0.08121 & -0.6891 & 0.24649 \tabularnewline
28 & -0.120258 & -1.0204 & 0.155471 \tabularnewline
29 & -0.16246 & -1.3785 & 0.086156 \tabularnewline
30 & -0.205336 & -1.7423 & 0.04286 \tabularnewline
31 & -0.24979 & -2.1195 & 0.018747 \tabularnewline
32 & -0.282177 & -2.3944 & 0.009628 \tabularnewline
33 & -0.317281 & -2.6922 & 0.004411 \tabularnewline
34 & -0.34971 & -2.9674 & 0.002037 \tabularnewline
35 & -0.379965 & -3.2241 & 0.00095 \tabularnewline
36 & -0.404827 & -3.4351 & 0.000493 \tabularnewline
37 & -0.425332 & -3.6091 & 0.000282 \tabularnewline
38 & -0.430662 & -3.6543 & 0.000243 \tabularnewline
39 & -0.429415 & -3.6437 & 0.000252 \tabularnewline
40 & -0.425364 & -3.6093 & 0.000282 \tabularnewline
41 & -0.417039 & -3.5387 & 0.000354 \tabularnewline
42 & -0.40809 & -3.4628 & 0.000452 \tabularnewline
43 & -0.403778 & -3.4262 & 0.000507 \tabularnewline
44 & -0.401224 & -3.4045 & 0.000543 \tabularnewline
45 & -0.40138 & -3.4058 & 0.000541 \tabularnewline
46 & -0.396964 & -3.3684 & 0.000609 \tabularnewline
47 & -0.392019 & -3.3264 & 0.000694 \tabularnewline
48 & -0.385533 & -3.2714 & 0.000822 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42946&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]0.964704[/C][C]8.1858[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.921367[/C][C]7.8181[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.87925[/C][C]7.4607[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.841488[/C][C]7.1403[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.793263[/C][C]6.7311[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.74816[/C][C]6.3483[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.701401[/C][C]5.9516[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.660612[/C][C]5.6055[/C][C]0[/C][/ROW]
[ROW][C]9[/C][C]0.611415[/C][C]5.188[/C][C]1e-06[/C][/ROW]
[ROW][C]10[/C][C]0.565741[/C][C]4.8005[/C][C]4e-06[/C][/ROW]
[ROW][C]11[/C][C]0.52092[/C][C]4.4202[/C][C]1.7e-05[/C][/ROW]
[ROW][C]12[/C][C]0.481836[/C][C]4.0885[/C][C]5.6e-05[/C][/ROW]
[ROW][C]13[/C][C]0.438561[/C][C]3.7213[/C][C]0.000195[/C][/ROW]
[ROW][C]14[/C][C]0.401867[/C][C]3.41[/C][C]0.000534[/C][/ROW]
[ROW][C]15[/C][C]0.364381[/C][C]3.0919[/C][C]0.001414[/C][/ROW]
[ROW][C]16[/C][C]0.334239[/C][C]2.8361[/C][C]0.002963[/C][/ROW]
[ROW][C]17[/C][C]0.296853[/C][C]2.5189[/C][C]0.006997[/C][/ROW]
[ROW][C]18[/C][C]0.257754[/C][C]2.1871[/C][C]0.015992[/C][/ROW]
[ROW][C]19[/C][C]0.219773[/C][C]1.8648[/C][C]0.03314[/C][/ROW]
[ROW][C]20[/C][C]0.190651[/C][C]1.6177[/C][C]0.055047[/C][/ROW]
[ROW][C]21[/C][C]0.155072[/C][C]1.3158[/C][C]0.096202[/C][/ROW]
[ROW][C]22[/C][C]0.12055[/C][C]1.0229[/C][C]0.15489[/C][/ROW]
[ROW][C]23[/C][C]0.082978[/C][C]0.7041[/C][C]0.241824[/C][/ROW]
[ROW][C]24[/C][C]0.043703[/C][C]0.3708[/C][C]0.355925[/C][/ROW]
[ROW][C]25[/C][C]0.002353[/C][C]0.02[/C][C]0.492061[/C][/ROW]
[ROW][C]26[/C][C]-0.039942[/C][C]-0.3389[/C][C]0.367827[/C][/ROW]
[ROW][C]27[/C][C]-0.08121[/C][C]-0.6891[/C][C]0.24649[/C][/ROW]
[ROW][C]28[/C][C]-0.120258[/C][C]-1.0204[/C][C]0.155471[/C][/ROW]
[ROW][C]29[/C][C]-0.16246[/C][C]-1.3785[/C][C]0.086156[/C][/ROW]
[ROW][C]30[/C][C]-0.205336[/C][C]-1.7423[/C][C]0.04286[/C][/ROW]
[ROW][C]31[/C][C]-0.24979[/C][C]-2.1195[/C][C]0.018747[/C][/ROW]
[ROW][C]32[/C][C]-0.282177[/C][C]-2.3944[/C][C]0.009628[/C][/ROW]
[ROW][C]33[/C][C]-0.317281[/C][C]-2.6922[/C][C]0.004411[/C][/ROW]
[ROW][C]34[/C][C]-0.34971[/C][C]-2.9674[/C][C]0.002037[/C][/ROW]
[ROW][C]35[/C][C]-0.379965[/C][C]-3.2241[/C][C]0.00095[/C][/ROW]
[ROW][C]36[/C][C]-0.404827[/C][C]-3.4351[/C][C]0.000493[/C][/ROW]
[ROW][C]37[/C][C]-0.425332[/C][C]-3.6091[/C][C]0.000282[/C][/ROW]
[ROW][C]38[/C][C]-0.430662[/C][C]-3.6543[/C][C]0.000243[/C][/ROW]
[ROW][C]39[/C][C]-0.429415[/C][C]-3.6437[/C][C]0.000252[/C][/ROW]
[ROW][C]40[/C][C]-0.425364[/C][C]-3.6093[/C][C]0.000282[/C][/ROW]
[ROW][C]41[/C][C]-0.417039[/C][C]-3.5387[/C][C]0.000354[/C][/ROW]
[ROW][C]42[/C][C]-0.40809[/C][C]-3.4628[/C][C]0.000452[/C][/ROW]
[ROW][C]43[/C][C]-0.403778[/C][C]-3.4262[/C][C]0.000507[/C][/ROW]
[ROW][C]44[/C][C]-0.401224[/C][C]-3.4045[/C][C]0.000543[/C][/ROW]
[ROW][C]45[/C][C]-0.40138[/C][C]-3.4058[/C][C]0.000541[/C][/ROW]
[ROW][C]46[/C][C]-0.396964[/C][C]-3.3684[/C][C]0.000609[/C][/ROW]
[ROW][C]47[/C][C]-0.392019[/C][C]-3.3264[/C][C]0.000694[/C][/ROW]
[ROW][C]48[/C][C]-0.385533[/C][C]-3.2714[/C][C]0.000822[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42946&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42946&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
10.9647048.18580
20.9213677.81810
30.879257.46070
40.8414887.14030
50.7932636.73110
60.748166.34830
70.7014015.95160
80.6606125.60550
90.6114155.1881e-06
100.5657414.80054e-06
110.520924.42021.7e-05
120.4818364.08855.6e-05
130.4385613.72130.000195
140.4018673.410.000534
150.3643813.09190.001414
160.3342392.83610.002963
170.2968532.51890.006997
180.2577542.18710.015992
190.2197731.86480.03314
200.1906511.61770.055047
210.1550721.31580.096202
220.120551.02290.15489
230.0829780.70410.241824
240.0437030.37080.355925
250.0023530.020.492061
26-0.039942-0.33890.367827
27-0.08121-0.68910.24649
28-0.120258-1.02040.155471
29-0.16246-1.37850.086156
30-0.205336-1.74230.04286
31-0.24979-2.11950.018747
32-0.282177-2.39440.009628
33-0.317281-2.69220.004411
34-0.34971-2.96740.002037
35-0.379965-3.22410.00095
36-0.404827-3.43510.000493
37-0.425332-3.60910.000282
38-0.430662-3.65430.000243
39-0.429415-3.64370.000252
40-0.425364-3.60930.000282
41-0.417039-3.53870.000354
42-0.40809-3.46280.000452
43-0.403778-3.42620.000507
44-0.401224-3.40450.000543
45-0.40138-3.40580.000541
46-0.396964-3.36840.000609
47-0.392019-3.32640.000694
48-0.385533-3.27140.000822







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9647048.18580
2-0.133931-1.13640.129769
30.0082660.07010.472139
40.0360050.30550.380428
5-0.187765-1.59320.057744
60.0613970.5210.301992
7-0.070079-0.59460.276975
80.0525850.44620.328396
9-0.142542-1.20950.115212
100.0375590.31870.375438
11-0.014366-0.12190.451659
120.0122120.10360.458878
13-0.052624-0.44650.328278
140.0532380.45170.326408
15-0.042752-0.36280.358923
160.0514380.43650.331904
17-0.115324-0.97860.165539
18-0.064469-0.5470.293021
190.0268050.22740.410362
200.0288390.24470.403689
21-0.091178-0.77370.22083
22-0.010948-0.09290.463121
23-0.059453-0.50450.307733
24-0.119982-1.01810.156025
250.0128640.10920.45669
26-0.093021-0.78930.216262
270.0199440.16920.433043
28-0.069421-0.58910.278835
29-0.049032-0.4160.339307
30-0.066988-0.56840.285763
31-0.075767-0.64290.261165
320.1376171.16770.123387
33-0.145125-1.23140.111085
340.0385150.32680.372381
35-0.01122-0.09520.462208
36-0.066146-0.56130.288179
370.069410.5890.278866
380.1732511.47010.072948
390.0286380.2430.404346
40-0.028384-0.24080.405179
410.1092710.92720.178462
42-0.113717-0.96490.168908
43-0.075209-0.63820.262694
44-0.03253-0.2760.391659
45-0.053271-0.4520.326307
460.0313870.26630.395374
470.01830.15530.438518
48-0.012639-0.10720.457446

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.964704 & 8.1858 & 0 \tabularnewline
2 & -0.133931 & -1.1364 & 0.129769 \tabularnewline
3 & 0.008266 & 0.0701 & 0.472139 \tabularnewline
4 & 0.036005 & 0.3055 & 0.380428 \tabularnewline
5 & -0.187765 & -1.5932 & 0.057744 \tabularnewline
6 & 0.061397 & 0.521 & 0.301992 \tabularnewline
7 & -0.070079 & -0.5946 & 0.276975 \tabularnewline
8 & 0.052585 & 0.4462 & 0.328396 \tabularnewline
9 & -0.142542 & -1.2095 & 0.115212 \tabularnewline
10 & 0.037559 & 0.3187 & 0.375438 \tabularnewline
11 & -0.014366 & -0.1219 & 0.451659 \tabularnewline
12 & 0.012212 & 0.1036 & 0.458878 \tabularnewline
13 & -0.052624 & -0.4465 & 0.328278 \tabularnewline
14 & 0.053238 & 0.4517 & 0.326408 \tabularnewline
15 & -0.042752 & -0.3628 & 0.358923 \tabularnewline
16 & 0.051438 & 0.4365 & 0.331904 \tabularnewline
17 & -0.115324 & -0.9786 & 0.165539 \tabularnewline
18 & -0.064469 & -0.547 & 0.293021 \tabularnewline
19 & 0.026805 & 0.2274 & 0.410362 \tabularnewline
20 & 0.028839 & 0.2447 & 0.403689 \tabularnewline
21 & -0.091178 & -0.7737 & 0.22083 \tabularnewline
22 & -0.010948 & -0.0929 & 0.463121 \tabularnewline
23 & -0.059453 & -0.5045 & 0.307733 \tabularnewline
24 & -0.119982 & -1.0181 & 0.156025 \tabularnewline
25 & 0.012864 & 0.1092 & 0.45669 \tabularnewline
26 & -0.093021 & -0.7893 & 0.216262 \tabularnewline
27 & 0.019944 & 0.1692 & 0.433043 \tabularnewline
28 & -0.069421 & -0.5891 & 0.278835 \tabularnewline
29 & -0.049032 & -0.416 & 0.339307 \tabularnewline
30 & -0.066988 & -0.5684 & 0.285763 \tabularnewline
31 & -0.075767 & -0.6429 & 0.261165 \tabularnewline
32 & 0.137617 & 1.1677 & 0.123387 \tabularnewline
33 & -0.145125 & -1.2314 & 0.111085 \tabularnewline
34 & 0.038515 & 0.3268 & 0.372381 \tabularnewline
35 & -0.01122 & -0.0952 & 0.462208 \tabularnewline
36 & -0.066146 & -0.5613 & 0.288179 \tabularnewline
37 & 0.06941 & 0.589 & 0.278866 \tabularnewline
38 & 0.173251 & 1.4701 & 0.072948 \tabularnewline
39 & 0.028638 & 0.243 & 0.404346 \tabularnewline
40 & -0.028384 & -0.2408 & 0.405179 \tabularnewline
41 & 0.109271 & 0.9272 & 0.178462 \tabularnewline
42 & -0.113717 & -0.9649 & 0.168908 \tabularnewline
43 & -0.075209 & -0.6382 & 0.262694 \tabularnewline
44 & -0.03253 & -0.276 & 0.391659 \tabularnewline
45 & -0.053271 & -0.452 & 0.326307 \tabularnewline
46 & 0.031387 & 0.2663 & 0.395374 \tabularnewline
47 & 0.0183 & 0.1553 & 0.438518 \tabularnewline
48 & -0.012639 & -0.1072 & 0.457446 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42946&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]0.964704[/C][C]8.1858[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.133931[/C][C]-1.1364[/C][C]0.129769[/C][/ROW]
[ROW][C]3[/C][C]0.008266[/C][C]0.0701[/C][C]0.472139[/C][/ROW]
[ROW][C]4[/C][C]0.036005[/C][C]0.3055[/C][C]0.380428[/C][/ROW]
[ROW][C]5[/C][C]-0.187765[/C][C]-1.5932[/C][C]0.057744[/C][/ROW]
[ROW][C]6[/C][C]0.061397[/C][C]0.521[/C][C]0.301992[/C][/ROW]
[ROW][C]7[/C][C]-0.070079[/C][C]-0.5946[/C][C]0.276975[/C][/ROW]
[ROW][C]8[/C][C]0.052585[/C][C]0.4462[/C][C]0.328396[/C][/ROW]
[ROW][C]9[/C][C]-0.142542[/C][C]-1.2095[/C][C]0.115212[/C][/ROW]
[ROW][C]10[/C][C]0.037559[/C][C]0.3187[/C][C]0.375438[/C][/ROW]
[ROW][C]11[/C][C]-0.014366[/C][C]-0.1219[/C][C]0.451659[/C][/ROW]
[ROW][C]12[/C][C]0.012212[/C][C]0.1036[/C][C]0.458878[/C][/ROW]
[ROW][C]13[/C][C]-0.052624[/C][C]-0.4465[/C][C]0.328278[/C][/ROW]
[ROW][C]14[/C][C]0.053238[/C][C]0.4517[/C][C]0.326408[/C][/ROW]
[ROW][C]15[/C][C]-0.042752[/C][C]-0.3628[/C][C]0.358923[/C][/ROW]
[ROW][C]16[/C][C]0.051438[/C][C]0.4365[/C][C]0.331904[/C][/ROW]
[ROW][C]17[/C][C]-0.115324[/C][C]-0.9786[/C][C]0.165539[/C][/ROW]
[ROW][C]18[/C][C]-0.064469[/C][C]-0.547[/C][C]0.293021[/C][/ROW]
[ROW][C]19[/C][C]0.026805[/C][C]0.2274[/C][C]0.410362[/C][/ROW]
[ROW][C]20[/C][C]0.028839[/C][C]0.2447[/C][C]0.403689[/C][/ROW]
[ROW][C]21[/C][C]-0.091178[/C][C]-0.7737[/C][C]0.22083[/C][/ROW]
[ROW][C]22[/C][C]-0.010948[/C][C]-0.0929[/C][C]0.463121[/C][/ROW]
[ROW][C]23[/C][C]-0.059453[/C][C]-0.5045[/C][C]0.307733[/C][/ROW]
[ROW][C]24[/C][C]-0.119982[/C][C]-1.0181[/C][C]0.156025[/C][/ROW]
[ROW][C]25[/C][C]0.012864[/C][C]0.1092[/C][C]0.45669[/C][/ROW]
[ROW][C]26[/C][C]-0.093021[/C][C]-0.7893[/C][C]0.216262[/C][/ROW]
[ROW][C]27[/C][C]0.019944[/C][C]0.1692[/C][C]0.433043[/C][/ROW]
[ROW][C]28[/C][C]-0.069421[/C][C]-0.5891[/C][C]0.278835[/C][/ROW]
[ROW][C]29[/C][C]-0.049032[/C][C]-0.416[/C][C]0.339307[/C][/ROW]
[ROW][C]30[/C][C]-0.066988[/C][C]-0.5684[/C][C]0.285763[/C][/ROW]
[ROW][C]31[/C][C]-0.075767[/C][C]-0.6429[/C][C]0.261165[/C][/ROW]
[ROW][C]32[/C][C]0.137617[/C][C]1.1677[/C][C]0.123387[/C][/ROW]
[ROW][C]33[/C][C]-0.145125[/C][C]-1.2314[/C][C]0.111085[/C][/ROW]
[ROW][C]34[/C][C]0.038515[/C][C]0.3268[/C][C]0.372381[/C][/ROW]
[ROW][C]35[/C][C]-0.01122[/C][C]-0.0952[/C][C]0.462208[/C][/ROW]
[ROW][C]36[/C][C]-0.066146[/C][C]-0.5613[/C][C]0.288179[/C][/ROW]
[ROW][C]37[/C][C]0.06941[/C][C]0.589[/C][C]0.278866[/C][/ROW]
[ROW][C]38[/C][C]0.173251[/C][C]1.4701[/C][C]0.072948[/C][/ROW]
[ROW][C]39[/C][C]0.028638[/C][C]0.243[/C][C]0.404346[/C][/ROW]
[ROW][C]40[/C][C]-0.028384[/C][C]-0.2408[/C][C]0.405179[/C][/ROW]
[ROW][C]41[/C][C]0.109271[/C][C]0.9272[/C][C]0.178462[/C][/ROW]
[ROW][C]42[/C][C]-0.113717[/C][C]-0.9649[/C][C]0.168908[/C][/ROW]
[ROW][C]43[/C][C]-0.075209[/C][C]-0.6382[/C][C]0.262694[/C][/ROW]
[ROW][C]44[/C][C]-0.03253[/C][C]-0.276[/C][C]0.391659[/C][/ROW]
[ROW][C]45[/C][C]-0.053271[/C][C]-0.452[/C][C]0.326307[/C][/ROW]
[ROW][C]46[/C][C]0.031387[/C][C]0.2663[/C][C]0.395374[/C][/ROW]
[ROW][C]47[/C][C]0.0183[/C][C]0.1553[/C][C]0.438518[/C][/ROW]
[ROW][C]48[/C][C]-0.012639[/C][C]-0.1072[/C][C]0.457446[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42946&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42946&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
10.9647048.18580
2-0.133931-1.13640.129769
30.0082660.07010.472139
40.0360050.30550.380428
5-0.187765-1.59320.057744
60.0613970.5210.301992
7-0.070079-0.59460.276975
80.0525850.44620.328396
9-0.142542-1.20950.115212
100.0375590.31870.375438
11-0.014366-0.12190.451659
120.0122120.10360.458878
13-0.052624-0.44650.328278
140.0532380.45170.326408
15-0.042752-0.36280.358923
160.0514380.43650.331904
17-0.115324-0.97860.165539
18-0.064469-0.5470.293021
190.0268050.22740.410362
200.0288390.24470.403689
21-0.091178-0.77370.22083
22-0.010948-0.09290.463121
23-0.059453-0.50450.307733
24-0.119982-1.01810.156025
250.0128640.10920.45669
26-0.093021-0.78930.216262
270.0199440.16920.433043
28-0.069421-0.58910.278835
29-0.049032-0.4160.339307
30-0.066988-0.56840.285763
31-0.075767-0.64290.261165
320.1376171.16770.123387
33-0.145125-1.23140.111085
340.0385150.32680.372381
35-0.01122-0.09520.462208
36-0.066146-0.56130.288179
370.069410.5890.278866
380.1732511.47010.072948
390.0286380.2430.404346
40-0.028384-0.24080.405179
410.1092710.92720.178462
42-0.113717-0.96490.168908
43-0.075209-0.63820.262694
44-0.03253-0.2760.391659
45-0.053271-0.4520.326307
460.0313870.26630.395374
470.01830.15530.438518
48-0.012639-0.10720.457446



Parameters (Session):
par1 = 0 ;
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')