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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 08:09:14 -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/t1250691011bqx0gda3wjlk5fp.htm/, Retrieved Tue, 07 May 2024 22:22:35 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=42947, Retrieved Tue, 07 May 2024 22:22:35 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact190
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] [f85cc8f00ef4b762f0a6fdfddc793773]
-           [(Partial) Autocorrelation Function] [Thomas Van den Bo...] [2009-08-19 14:09:14] [0d1085ed835696cdd537ad5fa07600ec] [Current]
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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 time2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42947&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]2 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=42947&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42947&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 time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.117820.99280.162097
2-0.048743-0.41070.341257
3-0.082547-0.69560.24449
40.0632020.53250.298004
5-0.006859-0.05780.477038
60.0092460.07790.469061
7-0.10693-0.9010.185314
8-0.001363-0.01150.495433
9-0.095076-0.80110.212865
10-0.067958-0.57260.284355
11-0.109329-0.92120.180026
120.0442960.37320.355039
13-0.060706-0.51150.305287
140.0101120.08520.46617
15-0.136201-1.14760.127483
160.0454750.38320.351366
170.0365680.30810.379445
180.1998811.68420.048265
190.0950270.80070.212984
200.0367460.30960.378876
21-0.003063-0.02580.489741
22-0.014216-0.11980.452496
23-0.043693-0.36820.356924
240.0485920.40940.341723
25-0.01073-0.09040.464108
26-0.024327-0.2050.419088
27-0.106244-0.89520.186846
28-0.027466-0.23140.408821
290.0244770.20620.418593
300.032490.27380.392528
31-0.208007-1.75270.041985
320.0051810.04370.482651
33-0.058671-0.49440.311286
340.0044630.03760.485054
350.054370.45810.324129
36-0.00521-0.04390.482552
37-0.071765-0.60470.273652
38-0.015666-0.1320.447679
39-0.01816-0.1530.439408
40-0.053918-0.45430.325493
41-0.029837-0.25140.40111
420.0922920.77770.219674
430.0555220.46780.320667
440.0057230.04820.480837
45-0.118792-1.0010.160122
46-0.004595-0.03870.484613
470.0033030.02780.488937
480.1510831.2730.103577

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.11782 & 0.9928 & 0.162097 \tabularnewline
2 & -0.048743 & -0.4107 & 0.341257 \tabularnewline
3 & -0.082547 & -0.6956 & 0.24449 \tabularnewline
4 & 0.063202 & 0.5325 & 0.298004 \tabularnewline
5 & -0.006859 & -0.0578 & 0.477038 \tabularnewline
6 & 0.009246 & 0.0779 & 0.469061 \tabularnewline
7 & -0.10693 & -0.901 & 0.185314 \tabularnewline
8 & -0.001363 & -0.0115 & 0.495433 \tabularnewline
9 & -0.095076 & -0.8011 & 0.212865 \tabularnewline
10 & -0.067958 & -0.5726 & 0.284355 \tabularnewline
11 & -0.109329 & -0.9212 & 0.180026 \tabularnewline
12 & 0.044296 & 0.3732 & 0.355039 \tabularnewline
13 & -0.060706 & -0.5115 & 0.305287 \tabularnewline
14 & 0.010112 & 0.0852 & 0.46617 \tabularnewline
15 & -0.136201 & -1.1476 & 0.127483 \tabularnewline
16 & 0.045475 & 0.3832 & 0.351366 \tabularnewline
17 & 0.036568 & 0.3081 & 0.379445 \tabularnewline
18 & 0.199881 & 1.6842 & 0.048265 \tabularnewline
19 & 0.095027 & 0.8007 & 0.212984 \tabularnewline
20 & 0.036746 & 0.3096 & 0.378876 \tabularnewline
21 & -0.003063 & -0.0258 & 0.489741 \tabularnewline
22 & -0.014216 & -0.1198 & 0.452496 \tabularnewline
23 & -0.043693 & -0.3682 & 0.356924 \tabularnewline
24 & 0.048592 & 0.4094 & 0.341723 \tabularnewline
25 & -0.01073 & -0.0904 & 0.464108 \tabularnewline
26 & -0.024327 & -0.205 & 0.419088 \tabularnewline
27 & -0.106244 & -0.8952 & 0.186846 \tabularnewline
28 & -0.027466 & -0.2314 & 0.408821 \tabularnewline
29 & 0.024477 & 0.2062 & 0.418593 \tabularnewline
30 & 0.03249 & 0.2738 & 0.392528 \tabularnewline
31 & -0.208007 & -1.7527 & 0.041985 \tabularnewline
32 & 0.005181 & 0.0437 & 0.482651 \tabularnewline
33 & -0.058671 & -0.4944 & 0.311286 \tabularnewline
34 & 0.004463 & 0.0376 & 0.485054 \tabularnewline
35 & 0.05437 & 0.4581 & 0.324129 \tabularnewline
36 & -0.00521 & -0.0439 & 0.482552 \tabularnewline
37 & -0.071765 & -0.6047 & 0.273652 \tabularnewline
38 & -0.015666 & -0.132 & 0.447679 \tabularnewline
39 & -0.01816 & -0.153 & 0.439408 \tabularnewline
40 & -0.053918 & -0.4543 & 0.325493 \tabularnewline
41 & -0.029837 & -0.2514 & 0.40111 \tabularnewline
42 & 0.092292 & 0.7777 & 0.219674 \tabularnewline
43 & 0.055522 & 0.4678 & 0.320667 \tabularnewline
44 & 0.005723 & 0.0482 & 0.480837 \tabularnewline
45 & -0.118792 & -1.001 & 0.160122 \tabularnewline
46 & -0.004595 & -0.0387 & 0.484613 \tabularnewline
47 & 0.003303 & 0.0278 & 0.488937 \tabularnewline
48 & 0.151083 & 1.273 & 0.103577 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42947&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]0.11782[/C][C]0.9928[/C][C]0.162097[/C][/ROW]
[ROW][C]2[/C][C]-0.048743[/C][C]-0.4107[/C][C]0.341257[/C][/ROW]
[ROW][C]3[/C][C]-0.082547[/C][C]-0.6956[/C][C]0.24449[/C][/ROW]
[ROW][C]4[/C][C]0.063202[/C][C]0.5325[/C][C]0.298004[/C][/ROW]
[ROW][C]5[/C][C]-0.006859[/C][C]-0.0578[/C][C]0.477038[/C][/ROW]
[ROW][C]6[/C][C]0.009246[/C][C]0.0779[/C][C]0.469061[/C][/ROW]
[ROW][C]7[/C][C]-0.10693[/C][C]-0.901[/C][C]0.185314[/C][/ROW]
[ROW][C]8[/C][C]-0.001363[/C][C]-0.0115[/C][C]0.495433[/C][/ROW]
[ROW][C]9[/C][C]-0.095076[/C][C]-0.8011[/C][C]0.212865[/C][/ROW]
[ROW][C]10[/C][C]-0.067958[/C][C]-0.5726[/C][C]0.284355[/C][/ROW]
[ROW][C]11[/C][C]-0.109329[/C][C]-0.9212[/C][C]0.180026[/C][/ROW]
[ROW][C]12[/C][C]0.044296[/C][C]0.3732[/C][C]0.355039[/C][/ROW]
[ROW][C]13[/C][C]-0.060706[/C][C]-0.5115[/C][C]0.305287[/C][/ROW]
[ROW][C]14[/C][C]0.010112[/C][C]0.0852[/C][C]0.46617[/C][/ROW]
[ROW][C]15[/C][C]-0.136201[/C][C]-1.1476[/C][C]0.127483[/C][/ROW]
[ROW][C]16[/C][C]0.045475[/C][C]0.3832[/C][C]0.351366[/C][/ROW]
[ROW][C]17[/C][C]0.036568[/C][C]0.3081[/C][C]0.379445[/C][/ROW]
[ROW][C]18[/C][C]0.199881[/C][C]1.6842[/C][C]0.048265[/C][/ROW]
[ROW][C]19[/C][C]0.095027[/C][C]0.8007[/C][C]0.212984[/C][/ROW]
[ROW][C]20[/C][C]0.036746[/C][C]0.3096[/C][C]0.378876[/C][/ROW]
[ROW][C]21[/C][C]-0.003063[/C][C]-0.0258[/C][C]0.489741[/C][/ROW]
[ROW][C]22[/C][C]-0.014216[/C][C]-0.1198[/C][C]0.452496[/C][/ROW]
[ROW][C]23[/C][C]-0.043693[/C][C]-0.3682[/C][C]0.356924[/C][/ROW]
[ROW][C]24[/C][C]0.048592[/C][C]0.4094[/C][C]0.341723[/C][/ROW]
[ROW][C]25[/C][C]-0.01073[/C][C]-0.0904[/C][C]0.464108[/C][/ROW]
[ROW][C]26[/C][C]-0.024327[/C][C]-0.205[/C][C]0.419088[/C][/ROW]
[ROW][C]27[/C][C]-0.106244[/C][C]-0.8952[/C][C]0.186846[/C][/ROW]
[ROW][C]28[/C][C]-0.027466[/C][C]-0.2314[/C][C]0.408821[/C][/ROW]
[ROW][C]29[/C][C]0.024477[/C][C]0.2062[/C][C]0.418593[/C][/ROW]
[ROW][C]30[/C][C]0.03249[/C][C]0.2738[/C][C]0.392528[/C][/ROW]
[ROW][C]31[/C][C]-0.208007[/C][C]-1.7527[/C][C]0.041985[/C][/ROW]
[ROW][C]32[/C][C]0.005181[/C][C]0.0437[/C][C]0.482651[/C][/ROW]
[ROW][C]33[/C][C]-0.058671[/C][C]-0.4944[/C][C]0.311286[/C][/ROW]
[ROW][C]34[/C][C]0.004463[/C][C]0.0376[/C][C]0.485054[/C][/ROW]
[ROW][C]35[/C][C]0.05437[/C][C]0.4581[/C][C]0.324129[/C][/ROW]
[ROW][C]36[/C][C]-0.00521[/C][C]-0.0439[/C][C]0.482552[/C][/ROW]
[ROW][C]37[/C][C]-0.071765[/C][C]-0.6047[/C][C]0.273652[/C][/ROW]
[ROW][C]38[/C][C]-0.015666[/C][C]-0.132[/C][C]0.447679[/C][/ROW]
[ROW][C]39[/C][C]-0.01816[/C][C]-0.153[/C][C]0.439408[/C][/ROW]
[ROW][C]40[/C][C]-0.053918[/C][C]-0.4543[/C][C]0.325493[/C][/ROW]
[ROW][C]41[/C][C]-0.029837[/C][C]-0.2514[/C][C]0.40111[/C][/ROW]
[ROW][C]42[/C][C]0.092292[/C][C]0.7777[/C][C]0.219674[/C][/ROW]
[ROW][C]43[/C][C]0.055522[/C][C]0.4678[/C][C]0.320667[/C][/ROW]
[ROW][C]44[/C][C]0.005723[/C][C]0.0482[/C][C]0.480837[/C][/ROW]
[ROW][C]45[/C][C]-0.118792[/C][C]-1.001[/C][C]0.160122[/C][/ROW]
[ROW][C]46[/C][C]-0.004595[/C][C]-0.0387[/C][C]0.484613[/C][/ROW]
[ROW][C]47[/C][C]0.003303[/C][C]0.0278[/C][C]0.488937[/C][/ROW]
[ROW][C]48[/C][C]0.151083[/C][C]1.273[/C][C]0.103577[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42947&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42947&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
10.117820.99280.162097
2-0.048743-0.41070.341257
3-0.082547-0.69560.24449
40.0632020.53250.298004
5-0.006859-0.05780.477038
60.0092460.07790.469061
7-0.10693-0.9010.185314
8-0.001363-0.01150.495433
9-0.095076-0.80110.212865
10-0.067958-0.57260.284355
11-0.109329-0.92120.180026
120.0442960.37320.355039
13-0.060706-0.51150.305287
140.0101120.08520.46617
15-0.136201-1.14760.127483
160.0454750.38320.351366
170.0365680.30810.379445
180.1998811.68420.048265
190.0950270.80070.212984
200.0367460.30960.378876
21-0.003063-0.02580.489741
22-0.014216-0.11980.452496
23-0.043693-0.36820.356924
240.0485920.40940.341723
25-0.01073-0.09040.464108
26-0.024327-0.2050.419088
27-0.106244-0.89520.186846
28-0.027466-0.23140.408821
290.0244770.20620.418593
300.032490.27380.392528
31-0.208007-1.75270.041985
320.0051810.04370.482651
33-0.058671-0.49440.311286
340.0044630.03760.485054
350.054370.45810.324129
36-0.00521-0.04390.482552
37-0.071765-0.60470.273652
38-0.015666-0.1320.447679
39-0.01816-0.1530.439408
40-0.053918-0.45430.325493
41-0.029837-0.25140.40111
420.0922920.77770.219674
430.0555220.46780.320667
440.0057230.04820.480837
45-0.118792-1.0010.160122
46-0.004595-0.03870.484613
470.0033030.02780.488937
480.1510831.2730.103577







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.117820.99280.162097
2-0.063507-0.53510.297121
3-0.070211-0.59160.277996
40.0806130.67930.249593
5-0.03337-0.28120.389694
60.0152680.12870.448999
7-0.103-0.86790.194188
80.0187430.15790.43748
9-0.106737-0.89940.185746
10-0.063017-0.5310.298541
11-0.091597-0.77180.221395
120.0424570.35770.360797
13-0.082339-0.69380.245036
140.0108960.09180.463553
15-0.135949-1.14550.127918
160.0464630.39150.348299
170.0068560.05780.477048
180.1610651.35720.089515
190.0800110.67420.251192
200.0007450.00630.497506
210.0338380.28510.388189
22-0.072485-0.61080.271652
23-0.021973-0.18510.426821
240.0165770.13970.444654
250.0057840.04870.480633
26-0.031702-0.26710.395073
27-0.042569-0.35870.360446
28-0.004917-0.04140.483534
290.0710980.59910.275512
30-0.006483-0.05460.478294
31-0.184349-1.55340.062392
320.0683810.57620.283154
33-0.082693-0.69680.244106
340.0007620.00640.497446
350.0642280.54120.295033
36-0.090743-0.76460.223518
37-0.107291-0.9040.184513
38-0.067059-0.5650.286911
39-0.012645-0.10660.457722
40-0.109772-0.9250.179061
41-0.017334-0.14610.442143
420.048820.41140.341023
430.0419220.35320.362478
44-0.023323-0.19650.42238
45-0.078684-0.6630.254738
46-0.042356-0.35690.361112
47-0.048525-0.40890.341928
480.1285051.08280.14128

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.11782 & 0.9928 & 0.162097 \tabularnewline
2 & -0.063507 & -0.5351 & 0.297121 \tabularnewline
3 & -0.070211 & -0.5916 & 0.277996 \tabularnewline
4 & 0.080613 & 0.6793 & 0.249593 \tabularnewline
5 & -0.03337 & -0.2812 & 0.389694 \tabularnewline
6 & 0.015268 & 0.1287 & 0.448999 \tabularnewline
7 & -0.103 & -0.8679 & 0.194188 \tabularnewline
8 & 0.018743 & 0.1579 & 0.43748 \tabularnewline
9 & -0.106737 & -0.8994 & 0.185746 \tabularnewline
10 & -0.063017 & -0.531 & 0.298541 \tabularnewline
11 & -0.091597 & -0.7718 & 0.221395 \tabularnewline
12 & 0.042457 & 0.3577 & 0.360797 \tabularnewline
13 & -0.082339 & -0.6938 & 0.245036 \tabularnewline
14 & 0.010896 & 0.0918 & 0.463553 \tabularnewline
15 & -0.135949 & -1.1455 & 0.127918 \tabularnewline
16 & 0.046463 & 0.3915 & 0.348299 \tabularnewline
17 & 0.006856 & 0.0578 & 0.477048 \tabularnewline
18 & 0.161065 & 1.3572 & 0.089515 \tabularnewline
19 & 0.080011 & 0.6742 & 0.251192 \tabularnewline
20 & 0.000745 & 0.0063 & 0.497506 \tabularnewline
21 & 0.033838 & 0.2851 & 0.388189 \tabularnewline
22 & -0.072485 & -0.6108 & 0.271652 \tabularnewline
23 & -0.021973 & -0.1851 & 0.426821 \tabularnewline
24 & 0.016577 & 0.1397 & 0.444654 \tabularnewline
25 & 0.005784 & 0.0487 & 0.480633 \tabularnewline
26 & -0.031702 & -0.2671 & 0.395073 \tabularnewline
27 & -0.042569 & -0.3587 & 0.360446 \tabularnewline
28 & -0.004917 & -0.0414 & 0.483534 \tabularnewline
29 & 0.071098 & 0.5991 & 0.275512 \tabularnewline
30 & -0.006483 & -0.0546 & 0.478294 \tabularnewline
31 & -0.184349 & -1.5534 & 0.062392 \tabularnewline
32 & 0.068381 & 0.5762 & 0.283154 \tabularnewline
33 & -0.082693 & -0.6968 & 0.244106 \tabularnewline
34 & 0.000762 & 0.0064 & 0.497446 \tabularnewline
35 & 0.064228 & 0.5412 & 0.295033 \tabularnewline
36 & -0.090743 & -0.7646 & 0.223518 \tabularnewline
37 & -0.107291 & -0.904 & 0.184513 \tabularnewline
38 & -0.067059 & -0.565 & 0.286911 \tabularnewline
39 & -0.012645 & -0.1066 & 0.457722 \tabularnewline
40 & -0.109772 & -0.925 & 0.179061 \tabularnewline
41 & -0.017334 & -0.1461 & 0.442143 \tabularnewline
42 & 0.04882 & 0.4114 & 0.341023 \tabularnewline
43 & 0.041922 & 0.3532 & 0.362478 \tabularnewline
44 & -0.023323 & -0.1965 & 0.42238 \tabularnewline
45 & -0.078684 & -0.663 & 0.254738 \tabularnewline
46 & -0.042356 & -0.3569 & 0.361112 \tabularnewline
47 & -0.048525 & -0.4089 & 0.341928 \tabularnewline
48 & 0.128505 & 1.0828 & 0.14128 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42947&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]0.11782[/C][C]0.9928[/C][C]0.162097[/C][/ROW]
[ROW][C]2[/C][C]-0.063507[/C][C]-0.5351[/C][C]0.297121[/C][/ROW]
[ROW][C]3[/C][C]-0.070211[/C][C]-0.5916[/C][C]0.277996[/C][/ROW]
[ROW][C]4[/C][C]0.080613[/C][C]0.6793[/C][C]0.249593[/C][/ROW]
[ROW][C]5[/C][C]-0.03337[/C][C]-0.2812[/C][C]0.389694[/C][/ROW]
[ROW][C]6[/C][C]0.015268[/C][C]0.1287[/C][C]0.448999[/C][/ROW]
[ROW][C]7[/C][C]-0.103[/C][C]-0.8679[/C][C]0.194188[/C][/ROW]
[ROW][C]8[/C][C]0.018743[/C][C]0.1579[/C][C]0.43748[/C][/ROW]
[ROW][C]9[/C][C]-0.106737[/C][C]-0.8994[/C][C]0.185746[/C][/ROW]
[ROW][C]10[/C][C]-0.063017[/C][C]-0.531[/C][C]0.298541[/C][/ROW]
[ROW][C]11[/C][C]-0.091597[/C][C]-0.7718[/C][C]0.221395[/C][/ROW]
[ROW][C]12[/C][C]0.042457[/C][C]0.3577[/C][C]0.360797[/C][/ROW]
[ROW][C]13[/C][C]-0.082339[/C][C]-0.6938[/C][C]0.245036[/C][/ROW]
[ROW][C]14[/C][C]0.010896[/C][C]0.0918[/C][C]0.463553[/C][/ROW]
[ROW][C]15[/C][C]-0.135949[/C][C]-1.1455[/C][C]0.127918[/C][/ROW]
[ROW][C]16[/C][C]0.046463[/C][C]0.3915[/C][C]0.348299[/C][/ROW]
[ROW][C]17[/C][C]0.006856[/C][C]0.0578[/C][C]0.477048[/C][/ROW]
[ROW][C]18[/C][C]0.161065[/C][C]1.3572[/C][C]0.089515[/C][/ROW]
[ROW][C]19[/C][C]0.080011[/C][C]0.6742[/C][C]0.251192[/C][/ROW]
[ROW][C]20[/C][C]0.000745[/C][C]0.0063[/C][C]0.497506[/C][/ROW]
[ROW][C]21[/C][C]0.033838[/C][C]0.2851[/C][C]0.388189[/C][/ROW]
[ROW][C]22[/C][C]-0.072485[/C][C]-0.6108[/C][C]0.271652[/C][/ROW]
[ROW][C]23[/C][C]-0.021973[/C][C]-0.1851[/C][C]0.426821[/C][/ROW]
[ROW][C]24[/C][C]0.016577[/C][C]0.1397[/C][C]0.444654[/C][/ROW]
[ROW][C]25[/C][C]0.005784[/C][C]0.0487[/C][C]0.480633[/C][/ROW]
[ROW][C]26[/C][C]-0.031702[/C][C]-0.2671[/C][C]0.395073[/C][/ROW]
[ROW][C]27[/C][C]-0.042569[/C][C]-0.3587[/C][C]0.360446[/C][/ROW]
[ROW][C]28[/C][C]-0.004917[/C][C]-0.0414[/C][C]0.483534[/C][/ROW]
[ROW][C]29[/C][C]0.071098[/C][C]0.5991[/C][C]0.275512[/C][/ROW]
[ROW][C]30[/C][C]-0.006483[/C][C]-0.0546[/C][C]0.478294[/C][/ROW]
[ROW][C]31[/C][C]-0.184349[/C][C]-1.5534[/C][C]0.062392[/C][/ROW]
[ROW][C]32[/C][C]0.068381[/C][C]0.5762[/C][C]0.283154[/C][/ROW]
[ROW][C]33[/C][C]-0.082693[/C][C]-0.6968[/C][C]0.244106[/C][/ROW]
[ROW][C]34[/C][C]0.000762[/C][C]0.0064[/C][C]0.497446[/C][/ROW]
[ROW][C]35[/C][C]0.064228[/C][C]0.5412[/C][C]0.295033[/C][/ROW]
[ROW][C]36[/C][C]-0.090743[/C][C]-0.7646[/C][C]0.223518[/C][/ROW]
[ROW][C]37[/C][C]-0.107291[/C][C]-0.904[/C][C]0.184513[/C][/ROW]
[ROW][C]38[/C][C]-0.067059[/C][C]-0.565[/C][C]0.286911[/C][/ROW]
[ROW][C]39[/C][C]-0.012645[/C][C]-0.1066[/C][C]0.457722[/C][/ROW]
[ROW][C]40[/C][C]-0.109772[/C][C]-0.925[/C][C]0.179061[/C][/ROW]
[ROW][C]41[/C][C]-0.017334[/C][C]-0.1461[/C][C]0.442143[/C][/ROW]
[ROW][C]42[/C][C]0.04882[/C][C]0.4114[/C][C]0.341023[/C][/ROW]
[ROW][C]43[/C][C]0.041922[/C][C]0.3532[/C][C]0.362478[/C][/ROW]
[ROW][C]44[/C][C]-0.023323[/C][C]-0.1965[/C][C]0.42238[/C][/ROW]
[ROW][C]45[/C][C]-0.078684[/C][C]-0.663[/C][C]0.254738[/C][/ROW]
[ROW][C]46[/C][C]-0.042356[/C][C]-0.3569[/C][C]0.361112[/C][/ROW]
[ROW][C]47[/C][C]-0.048525[/C][C]-0.4089[/C][C]0.341928[/C][/ROW]
[ROW][C]48[/C][C]0.128505[/C][C]1.0828[/C][C]0.14128[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42947&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42947&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
10.117820.99280.162097
2-0.063507-0.53510.297121
3-0.070211-0.59160.277996
40.0806130.67930.249593
5-0.03337-0.28120.389694
60.0152680.12870.448999
7-0.103-0.86790.194188
80.0187430.15790.43748
9-0.106737-0.89940.185746
10-0.063017-0.5310.298541
11-0.091597-0.77180.221395
120.0424570.35770.360797
13-0.082339-0.69380.245036
140.0108960.09180.463553
15-0.135949-1.14550.127918
160.0464630.39150.348299
170.0068560.05780.477048
180.1610651.35720.089515
190.0800110.67420.251192
200.0007450.00630.497506
210.0338380.28510.388189
22-0.072485-0.61080.271652
23-0.021973-0.18510.426821
240.0165770.13970.444654
250.0057840.04870.480633
26-0.031702-0.26710.395073
27-0.042569-0.35870.360446
28-0.004917-0.04140.483534
290.0710980.59910.275512
30-0.006483-0.05460.478294
31-0.184349-1.55340.062392
320.0683810.57620.283154
33-0.082693-0.69680.244106
340.0007620.00640.497446
350.0642280.54120.295033
36-0.090743-0.76460.223518
37-0.107291-0.9040.184513
38-0.067059-0.5650.286911
39-0.012645-0.10660.457722
40-0.109772-0.9250.179061
41-0.017334-0.14610.442143
420.048820.41140.341023
430.0419220.35320.362478
44-0.023323-0.19650.42238
45-0.078684-0.6630.254738
46-0.042356-0.35690.361112
47-0.048525-0.40890.341928
480.1285051.08280.14128



Parameters (Session):
par1 = 0 ;
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')