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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, 05 Aug 2009 17:43:09 -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/06/t1249515945ybdcnpsozd3lq13.htm/, Retrieved Fri, 03 May 2024 15:11:29 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=42510, Retrieved Fri, 03 May 2024 15:11:29 +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] [datareeks-diesel-...] [2009-08-05 23:43:09] [0d1085ed835696cdd537ad5fa07600ec] [Current]
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Dataseries X:
0.9
0.92
0.92
0.95
1.06
1.17
1.23
1.26
1.37
1.37
1.31
1.21
1.2
1.11
1.11
1.11
1.17
1.08
1.05
1.03
1.04
1.02
1.01
1.01
0.98
0.96
0.94
0.99
0.99
0.98
1.02
1.06
1.06
1.06
1.06
1.06
1.04
1.02
1.01
1
1.04
1.09
1.08
1.06
1.06
1.03
0.97
0.98
0.93
0.88
0.86
0.9
0.91
0.93
0.89
0.88
0.83
0.81
0.83
0.8
0.76
0.73
0.74
0.74
0.75
0.74
0.74
0.73
0.71
0.71
0.7
0.75
0.81
0.78
0.75




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=42510&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=42510&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42510&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
10.3638263.12970.001252
20.1678051.44350.076548
30.0366420.31520.376745
40.1484481.2770.102797
5-0.225367-1.93870.028177
6-0.121064-1.04140.150534
7-0.043506-0.37420.354645
8-0.038546-0.33160.370571
9-0.175708-1.51150.06746
10-0.040772-0.35070.363391
110.1296211.1150.134221
12-0.025768-0.22170.412593
13-0.070435-0.60590.273217
14-0.058254-0.50110.308886
15-0.065136-0.56030.288476
16-0.180231-1.55040.062655
17-0.116368-1.0010.160036
18-0.099668-0.85740.197002
19-0.034133-0.29360.384935
20-0.044201-0.38020.352432
21-0.028167-0.24230.404607
220.0335040.28820.386996
230.0149050.12820.449164
240.0782480.67310.251486
250.1198631.03110.152926
260.0716820.61660.269684
270.014790.12720.449553
280.0070610.06070.475866
29-0.059515-0.5120.305098
30-0.078115-0.6720.251849
310.0766970.65980.255725
320.0636230.54730.292908
330.0252950.21760.41417
34-0.047495-0.40860.342018
350.1549771.33320.093285
360.1362191.17180.122518
370.1208071.03920.151044
38-0.037588-0.32330.373675
390.0347950.29930.382767
40-0.139-1.19570.117811
41-0.121486-1.04510.149697
42-0.067002-0.57640.283057
430.0119010.10240.459367
44-0.01724-0.14830.441252
45-0.01828-0.15730.437737
460.0213350.18350.427443
470.0152780.13140.447898
480.0085540.07360.470769

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.363826 & 3.1297 & 0.001252 \tabularnewline
2 & 0.167805 & 1.4435 & 0.076548 \tabularnewline
3 & 0.036642 & 0.3152 & 0.376745 \tabularnewline
4 & 0.148448 & 1.277 & 0.102797 \tabularnewline
5 & -0.225367 & -1.9387 & 0.028177 \tabularnewline
6 & -0.121064 & -1.0414 & 0.150534 \tabularnewline
7 & -0.043506 & -0.3742 & 0.354645 \tabularnewline
8 & -0.038546 & -0.3316 & 0.370571 \tabularnewline
9 & -0.175708 & -1.5115 & 0.06746 \tabularnewline
10 & -0.040772 & -0.3507 & 0.363391 \tabularnewline
11 & 0.129621 & 1.115 & 0.134221 \tabularnewline
12 & -0.025768 & -0.2217 & 0.412593 \tabularnewline
13 & -0.070435 & -0.6059 & 0.273217 \tabularnewline
14 & -0.058254 & -0.5011 & 0.308886 \tabularnewline
15 & -0.065136 & -0.5603 & 0.288476 \tabularnewline
16 & -0.180231 & -1.5504 & 0.062655 \tabularnewline
17 & -0.116368 & -1.001 & 0.160036 \tabularnewline
18 & -0.099668 & -0.8574 & 0.197002 \tabularnewline
19 & -0.034133 & -0.2936 & 0.384935 \tabularnewline
20 & -0.044201 & -0.3802 & 0.352432 \tabularnewline
21 & -0.028167 & -0.2423 & 0.404607 \tabularnewline
22 & 0.033504 & 0.2882 & 0.386996 \tabularnewline
23 & 0.014905 & 0.1282 & 0.449164 \tabularnewline
24 & 0.078248 & 0.6731 & 0.251486 \tabularnewline
25 & 0.119863 & 1.0311 & 0.152926 \tabularnewline
26 & 0.071682 & 0.6166 & 0.269684 \tabularnewline
27 & 0.01479 & 0.1272 & 0.449553 \tabularnewline
28 & 0.007061 & 0.0607 & 0.475866 \tabularnewline
29 & -0.059515 & -0.512 & 0.305098 \tabularnewline
30 & -0.078115 & -0.672 & 0.251849 \tabularnewline
31 & 0.076697 & 0.6598 & 0.255725 \tabularnewline
32 & 0.063623 & 0.5473 & 0.292908 \tabularnewline
33 & 0.025295 & 0.2176 & 0.41417 \tabularnewline
34 & -0.047495 & -0.4086 & 0.342018 \tabularnewline
35 & 0.154977 & 1.3332 & 0.093285 \tabularnewline
36 & 0.136219 & 1.1718 & 0.122518 \tabularnewline
37 & 0.120807 & 1.0392 & 0.151044 \tabularnewline
38 & -0.037588 & -0.3233 & 0.373675 \tabularnewline
39 & 0.034795 & 0.2993 & 0.382767 \tabularnewline
40 & -0.139 & -1.1957 & 0.117811 \tabularnewline
41 & -0.121486 & -1.0451 & 0.149697 \tabularnewline
42 & -0.067002 & -0.5764 & 0.283057 \tabularnewline
43 & 0.011901 & 0.1024 & 0.459367 \tabularnewline
44 & -0.01724 & -0.1483 & 0.441252 \tabularnewline
45 & -0.01828 & -0.1573 & 0.437737 \tabularnewline
46 & 0.021335 & 0.1835 & 0.427443 \tabularnewline
47 & 0.015278 & 0.1314 & 0.447898 \tabularnewline
48 & 0.008554 & 0.0736 & 0.470769 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42510&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]0.363826[/C][C]3.1297[/C][C]0.001252[/C][/ROW]
[ROW][C]2[/C][C]0.167805[/C][C]1.4435[/C][C]0.076548[/C][/ROW]
[ROW][C]3[/C][C]0.036642[/C][C]0.3152[/C][C]0.376745[/C][/ROW]
[ROW][C]4[/C][C]0.148448[/C][C]1.277[/C][C]0.102797[/C][/ROW]
[ROW][C]5[/C][C]-0.225367[/C][C]-1.9387[/C][C]0.028177[/C][/ROW]
[ROW][C]6[/C][C]-0.121064[/C][C]-1.0414[/C][C]0.150534[/C][/ROW]
[ROW][C]7[/C][C]-0.043506[/C][C]-0.3742[/C][C]0.354645[/C][/ROW]
[ROW][C]8[/C][C]-0.038546[/C][C]-0.3316[/C][C]0.370571[/C][/ROW]
[ROW][C]9[/C][C]-0.175708[/C][C]-1.5115[/C][C]0.06746[/C][/ROW]
[ROW][C]10[/C][C]-0.040772[/C][C]-0.3507[/C][C]0.363391[/C][/ROW]
[ROW][C]11[/C][C]0.129621[/C][C]1.115[/C][C]0.134221[/C][/ROW]
[ROW][C]12[/C][C]-0.025768[/C][C]-0.2217[/C][C]0.412593[/C][/ROW]
[ROW][C]13[/C][C]-0.070435[/C][C]-0.6059[/C][C]0.273217[/C][/ROW]
[ROW][C]14[/C][C]-0.058254[/C][C]-0.5011[/C][C]0.308886[/C][/ROW]
[ROW][C]15[/C][C]-0.065136[/C][C]-0.5603[/C][C]0.288476[/C][/ROW]
[ROW][C]16[/C][C]-0.180231[/C][C]-1.5504[/C][C]0.062655[/C][/ROW]
[ROW][C]17[/C][C]-0.116368[/C][C]-1.001[/C][C]0.160036[/C][/ROW]
[ROW][C]18[/C][C]-0.099668[/C][C]-0.8574[/C][C]0.197002[/C][/ROW]
[ROW][C]19[/C][C]-0.034133[/C][C]-0.2936[/C][C]0.384935[/C][/ROW]
[ROW][C]20[/C][C]-0.044201[/C][C]-0.3802[/C][C]0.352432[/C][/ROW]
[ROW][C]21[/C][C]-0.028167[/C][C]-0.2423[/C][C]0.404607[/C][/ROW]
[ROW][C]22[/C][C]0.033504[/C][C]0.2882[/C][C]0.386996[/C][/ROW]
[ROW][C]23[/C][C]0.014905[/C][C]0.1282[/C][C]0.449164[/C][/ROW]
[ROW][C]24[/C][C]0.078248[/C][C]0.6731[/C][C]0.251486[/C][/ROW]
[ROW][C]25[/C][C]0.119863[/C][C]1.0311[/C][C]0.152926[/C][/ROW]
[ROW][C]26[/C][C]0.071682[/C][C]0.6166[/C][C]0.269684[/C][/ROW]
[ROW][C]27[/C][C]0.01479[/C][C]0.1272[/C][C]0.449553[/C][/ROW]
[ROW][C]28[/C][C]0.007061[/C][C]0.0607[/C][C]0.475866[/C][/ROW]
[ROW][C]29[/C][C]-0.059515[/C][C]-0.512[/C][C]0.305098[/C][/ROW]
[ROW][C]30[/C][C]-0.078115[/C][C]-0.672[/C][C]0.251849[/C][/ROW]
[ROW][C]31[/C][C]0.076697[/C][C]0.6598[/C][C]0.255725[/C][/ROW]
[ROW][C]32[/C][C]0.063623[/C][C]0.5473[/C][C]0.292908[/C][/ROW]
[ROW][C]33[/C][C]0.025295[/C][C]0.2176[/C][C]0.41417[/C][/ROW]
[ROW][C]34[/C][C]-0.047495[/C][C]-0.4086[/C][C]0.342018[/C][/ROW]
[ROW][C]35[/C][C]0.154977[/C][C]1.3332[/C][C]0.093285[/C][/ROW]
[ROW][C]36[/C][C]0.136219[/C][C]1.1718[/C][C]0.122518[/C][/ROW]
[ROW][C]37[/C][C]0.120807[/C][C]1.0392[/C][C]0.151044[/C][/ROW]
[ROW][C]38[/C][C]-0.037588[/C][C]-0.3233[/C][C]0.373675[/C][/ROW]
[ROW][C]39[/C][C]0.034795[/C][C]0.2993[/C][C]0.382767[/C][/ROW]
[ROW][C]40[/C][C]-0.139[/C][C]-1.1957[/C][C]0.117811[/C][/ROW]
[ROW][C]41[/C][C]-0.121486[/C][C]-1.0451[/C][C]0.149697[/C][/ROW]
[ROW][C]42[/C][C]-0.067002[/C][C]-0.5764[/C][C]0.283057[/C][/ROW]
[ROW][C]43[/C][C]0.011901[/C][C]0.1024[/C][C]0.459367[/C][/ROW]
[ROW][C]44[/C][C]-0.01724[/C][C]-0.1483[/C][C]0.441252[/C][/ROW]
[ROW][C]45[/C][C]-0.01828[/C][C]-0.1573[/C][C]0.437737[/C][/ROW]
[ROW][C]46[/C][C]0.021335[/C][C]0.1835[/C][C]0.427443[/C][/ROW]
[ROW][C]47[/C][C]0.015278[/C][C]0.1314[/C][C]0.447898[/C][/ROW]
[ROW][C]48[/C][C]0.008554[/C][C]0.0736[/C][C]0.470769[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42510&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42510&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
10.3638263.12970.001252
20.1678051.44350.076548
30.0366420.31520.376745
40.1484481.2770.102797
5-0.225367-1.93870.028177
6-0.121064-1.04140.150534
7-0.043506-0.37420.354645
8-0.038546-0.33160.370571
9-0.175708-1.51150.06746
10-0.040772-0.35070.363391
110.1296211.1150.134221
12-0.025768-0.22170.412593
13-0.070435-0.60590.273217
14-0.058254-0.50110.308886
15-0.065136-0.56030.288476
16-0.180231-1.55040.062655
17-0.116368-1.0010.160036
18-0.099668-0.85740.197002
19-0.034133-0.29360.384935
20-0.044201-0.38020.352432
21-0.028167-0.24230.404607
220.0335040.28820.386996
230.0149050.12820.449164
240.0782480.67310.251486
250.1198631.03110.152926
260.0716820.61660.269684
270.014790.12720.449553
280.0070610.06070.475866
29-0.059515-0.5120.305098
30-0.078115-0.6720.251849
310.0766970.65980.255725
320.0636230.54730.292908
330.0252950.21760.41417
34-0.047495-0.40860.342018
350.1549771.33320.093285
360.1362191.17180.122518
370.1208071.03920.151044
38-0.037588-0.32330.373675
390.0347950.29930.382767
40-0.139-1.19570.117811
41-0.121486-1.04510.149697
42-0.067002-0.57640.283057
430.0119010.10240.459367
44-0.01724-0.14830.441252
45-0.01828-0.15730.437737
460.0213350.18350.427443
470.0152780.13140.447898
480.0085540.07360.470769







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.3638263.12970.001252
20.0408420.35130.363167
3-0.042457-0.36520.357991
40.1638931.40990.081385
5-0.383915-3.30260.000739
60.090120.77520.220334
70.0637950.54880.292401
8-0.144696-1.24470.108582
9-0.005888-0.05070.47987
10-0.013873-0.11930.452664
110.163581.40720.081782
12-0.161737-1.39130.084149
13-0.012711-0.10930.456613
14-0.065545-0.56380.287285
15-0.155034-1.33370.093203
160.0537470.46230.322595
17-0.099106-0.85250.198333
18-0.07948-0.68370.248145
190.07450.64090.261793
20-0.038787-0.33370.369791
21-0.089785-0.77240.221181
220.0532510.45810.324118
23-0.071388-0.61410.270517
240.0962810.82820.205098
250.0973090.83710.202621
26-0.129758-1.11620.133969
270.0598820.51510.304002
28-0.071875-0.61830.269142
29-0.078002-0.6710.252155
300.0012330.01060.495783
310.1608231.38350.085343
32-0.043083-0.37060.355992
33-0.051588-0.44380.329251
340.0028580.02460.490225
350.122651.05510.147412
360.0679780.58480.28024
370.072870.62680.266344
38-0.174375-1.50.068931
39-0.019314-0.16610.434247
400.0287580.24740.402646
41-0.04044-0.34790.364458
420.0831170.7150.238428
43-0.04725-0.40650.342789
440.0528150.45430.325461
450.0016520.01420.494348
46-0.047083-0.4050.343314
470.0105950.09110.463813
48-0.018326-0.15760.437582

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.363826 & 3.1297 & 0.001252 \tabularnewline
2 & 0.040842 & 0.3513 & 0.363167 \tabularnewline
3 & -0.042457 & -0.3652 & 0.357991 \tabularnewline
4 & 0.163893 & 1.4099 & 0.081385 \tabularnewline
5 & -0.383915 & -3.3026 & 0.000739 \tabularnewline
6 & 0.09012 & 0.7752 & 0.220334 \tabularnewline
7 & 0.063795 & 0.5488 & 0.292401 \tabularnewline
8 & -0.144696 & -1.2447 & 0.108582 \tabularnewline
9 & -0.005888 & -0.0507 & 0.47987 \tabularnewline
10 & -0.013873 & -0.1193 & 0.452664 \tabularnewline
11 & 0.16358 & 1.4072 & 0.081782 \tabularnewline
12 & -0.161737 & -1.3913 & 0.084149 \tabularnewline
13 & -0.012711 & -0.1093 & 0.456613 \tabularnewline
14 & -0.065545 & -0.5638 & 0.287285 \tabularnewline
15 & -0.155034 & -1.3337 & 0.093203 \tabularnewline
16 & 0.053747 & 0.4623 & 0.322595 \tabularnewline
17 & -0.099106 & -0.8525 & 0.198333 \tabularnewline
18 & -0.07948 & -0.6837 & 0.248145 \tabularnewline
19 & 0.0745 & 0.6409 & 0.261793 \tabularnewline
20 & -0.038787 & -0.3337 & 0.369791 \tabularnewline
21 & -0.089785 & -0.7724 & 0.221181 \tabularnewline
22 & 0.053251 & 0.4581 & 0.324118 \tabularnewline
23 & -0.071388 & -0.6141 & 0.270517 \tabularnewline
24 & 0.096281 & 0.8282 & 0.205098 \tabularnewline
25 & 0.097309 & 0.8371 & 0.202621 \tabularnewline
26 & -0.129758 & -1.1162 & 0.133969 \tabularnewline
27 & 0.059882 & 0.5151 & 0.304002 \tabularnewline
28 & -0.071875 & -0.6183 & 0.269142 \tabularnewline
29 & -0.078002 & -0.671 & 0.252155 \tabularnewline
30 & 0.001233 & 0.0106 & 0.495783 \tabularnewline
31 & 0.160823 & 1.3835 & 0.085343 \tabularnewline
32 & -0.043083 & -0.3706 & 0.355992 \tabularnewline
33 & -0.051588 & -0.4438 & 0.329251 \tabularnewline
34 & 0.002858 & 0.0246 & 0.490225 \tabularnewline
35 & 0.12265 & 1.0551 & 0.147412 \tabularnewline
36 & 0.067978 & 0.5848 & 0.28024 \tabularnewline
37 & 0.07287 & 0.6268 & 0.266344 \tabularnewline
38 & -0.174375 & -1.5 & 0.068931 \tabularnewline
39 & -0.019314 & -0.1661 & 0.434247 \tabularnewline
40 & 0.028758 & 0.2474 & 0.402646 \tabularnewline
41 & -0.04044 & -0.3479 & 0.364458 \tabularnewline
42 & 0.083117 & 0.715 & 0.238428 \tabularnewline
43 & -0.04725 & -0.4065 & 0.342789 \tabularnewline
44 & 0.052815 & 0.4543 & 0.325461 \tabularnewline
45 & 0.001652 & 0.0142 & 0.494348 \tabularnewline
46 & -0.047083 & -0.405 & 0.343314 \tabularnewline
47 & 0.010595 & 0.0911 & 0.463813 \tabularnewline
48 & -0.018326 & -0.1576 & 0.437582 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42510&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]0.363826[/C][C]3.1297[/C][C]0.001252[/C][/ROW]
[ROW][C]2[/C][C]0.040842[/C][C]0.3513[/C][C]0.363167[/C][/ROW]
[ROW][C]3[/C][C]-0.042457[/C][C]-0.3652[/C][C]0.357991[/C][/ROW]
[ROW][C]4[/C][C]0.163893[/C][C]1.4099[/C][C]0.081385[/C][/ROW]
[ROW][C]5[/C][C]-0.383915[/C][C]-3.3026[/C][C]0.000739[/C][/ROW]
[ROW][C]6[/C][C]0.09012[/C][C]0.7752[/C][C]0.220334[/C][/ROW]
[ROW][C]7[/C][C]0.063795[/C][C]0.5488[/C][C]0.292401[/C][/ROW]
[ROW][C]8[/C][C]-0.144696[/C][C]-1.2447[/C][C]0.108582[/C][/ROW]
[ROW][C]9[/C][C]-0.005888[/C][C]-0.0507[/C][C]0.47987[/C][/ROW]
[ROW][C]10[/C][C]-0.013873[/C][C]-0.1193[/C][C]0.452664[/C][/ROW]
[ROW][C]11[/C][C]0.16358[/C][C]1.4072[/C][C]0.081782[/C][/ROW]
[ROW][C]12[/C][C]-0.161737[/C][C]-1.3913[/C][C]0.084149[/C][/ROW]
[ROW][C]13[/C][C]-0.012711[/C][C]-0.1093[/C][C]0.456613[/C][/ROW]
[ROW][C]14[/C][C]-0.065545[/C][C]-0.5638[/C][C]0.287285[/C][/ROW]
[ROW][C]15[/C][C]-0.155034[/C][C]-1.3337[/C][C]0.093203[/C][/ROW]
[ROW][C]16[/C][C]0.053747[/C][C]0.4623[/C][C]0.322595[/C][/ROW]
[ROW][C]17[/C][C]-0.099106[/C][C]-0.8525[/C][C]0.198333[/C][/ROW]
[ROW][C]18[/C][C]-0.07948[/C][C]-0.6837[/C][C]0.248145[/C][/ROW]
[ROW][C]19[/C][C]0.0745[/C][C]0.6409[/C][C]0.261793[/C][/ROW]
[ROW][C]20[/C][C]-0.038787[/C][C]-0.3337[/C][C]0.369791[/C][/ROW]
[ROW][C]21[/C][C]-0.089785[/C][C]-0.7724[/C][C]0.221181[/C][/ROW]
[ROW][C]22[/C][C]0.053251[/C][C]0.4581[/C][C]0.324118[/C][/ROW]
[ROW][C]23[/C][C]-0.071388[/C][C]-0.6141[/C][C]0.270517[/C][/ROW]
[ROW][C]24[/C][C]0.096281[/C][C]0.8282[/C][C]0.205098[/C][/ROW]
[ROW][C]25[/C][C]0.097309[/C][C]0.8371[/C][C]0.202621[/C][/ROW]
[ROW][C]26[/C][C]-0.129758[/C][C]-1.1162[/C][C]0.133969[/C][/ROW]
[ROW][C]27[/C][C]0.059882[/C][C]0.5151[/C][C]0.304002[/C][/ROW]
[ROW][C]28[/C][C]-0.071875[/C][C]-0.6183[/C][C]0.269142[/C][/ROW]
[ROW][C]29[/C][C]-0.078002[/C][C]-0.671[/C][C]0.252155[/C][/ROW]
[ROW][C]30[/C][C]0.001233[/C][C]0.0106[/C][C]0.495783[/C][/ROW]
[ROW][C]31[/C][C]0.160823[/C][C]1.3835[/C][C]0.085343[/C][/ROW]
[ROW][C]32[/C][C]-0.043083[/C][C]-0.3706[/C][C]0.355992[/C][/ROW]
[ROW][C]33[/C][C]-0.051588[/C][C]-0.4438[/C][C]0.329251[/C][/ROW]
[ROW][C]34[/C][C]0.002858[/C][C]0.0246[/C][C]0.490225[/C][/ROW]
[ROW][C]35[/C][C]0.12265[/C][C]1.0551[/C][C]0.147412[/C][/ROW]
[ROW][C]36[/C][C]0.067978[/C][C]0.5848[/C][C]0.28024[/C][/ROW]
[ROW][C]37[/C][C]0.07287[/C][C]0.6268[/C][C]0.266344[/C][/ROW]
[ROW][C]38[/C][C]-0.174375[/C][C]-1.5[/C][C]0.068931[/C][/ROW]
[ROW][C]39[/C][C]-0.019314[/C][C]-0.1661[/C][C]0.434247[/C][/ROW]
[ROW][C]40[/C][C]0.028758[/C][C]0.2474[/C][C]0.402646[/C][/ROW]
[ROW][C]41[/C][C]-0.04044[/C][C]-0.3479[/C][C]0.364458[/C][/ROW]
[ROW][C]42[/C][C]0.083117[/C][C]0.715[/C][C]0.238428[/C][/ROW]
[ROW][C]43[/C][C]-0.04725[/C][C]-0.4065[/C][C]0.342789[/C][/ROW]
[ROW][C]44[/C][C]0.052815[/C][C]0.4543[/C][C]0.325461[/C][/ROW]
[ROW][C]45[/C][C]0.001652[/C][C]0.0142[/C][C]0.494348[/C][/ROW]
[ROW][C]46[/C][C]-0.047083[/C][C]-0.405[/C][C]0.343314[/C][/ROW]
[ROW][C]47[/C][C]0.010595[/C][C]0.0911[/C][C]0.463813[/C][/ROW]
[ROW][C]48[/C][C]-0.018326[/C][C]-0.1576[/C][C]0.437582[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42510&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42510&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
10.3638263.12970.001252
20.0408420.35130.363167
3-0.042457-0.36520.357991
40.1638931.40990.081385
5-0.383915-3.30260.000739
60.090120.77520.220334
70.0637950.54880.292401
8-0.144696-1.24470.108582
9-0.005888-0.05070.47987
10-0.013873-0.11930.452664
110.163581.40720.081782
12-0.161737-1.39130.084149
13-0.012711-0.10930.456613
14-0.065545-0.56380.287285
15-0.155034-1.33370.093203
160.0537470.46230.322595
17-0.099106-0.85250.198333
18-0.07948-0.68370.248145
190.07450.64090.261793
20-0.038787-0.33370.369791
21-0.089785-0.77240.221181
220.0532510.45810.324118
23-0.071388-0.61410.270517
240.0962810.82820.205098
250.0973090.83710.202621
26-0.129758-1.11620.133969
270.0598820.51510.304002
28-0.071875-0.61830.269142
29-0.078002-0.6710.252155
300.0012330.01060.495783
310.1608231.38350.085343
32-0.043083-0.37060.355992
33-0.051588-0.44380.329251
340.0028580.02460.490225
350.122651.05510.147412
360.0679780.58480.28024
370.072870.62680.266344
38-0.174375-1.50.068931
39-0.019314-0.16610.434247
400.0287580.24740.402646
41-0.04044-0.34790.364458
420.0831170.7150.238428
43-0.04725-0.40650.342789
440.0528150.45430.325461
450.0016520.01420.494348
46-0.047083-0.4050.343314
470.0105950.09110.463813
48-0.018326-0.15760.437582



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')