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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationThu, 16 Mar 2017 08:23:01 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2017/Mar/16/t1489652624rwlr61v7xpzud9m.htm/, Retrieved Tue, 14 May 2024 06:40:22 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Tue, 14 May 2024 06:40:22 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
95,2
95,34
95,32
96,04
99,65
100,85
108,18
108,18
103,14
99,71
99,39
98,99
98,83
99,52
99,5
99,5
99,39
101,79
106,03
105,41
104,32
101,17
99,79
100,08
100,27
101,63
101,74
103,73
103,29
105,71
107,42
107,57
105,13
103,61
102,35
102,14
104,32
104,69
106,02
104,78
106,36
109,27
113,46
113,46
110,61
104,37
103,82
104,1

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net

\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' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&T=0

As an alternative you can also use a QR Code:  
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' @ jenkins.wessa.net






Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.8161395.65440
20.5251193.63810.000335
30.2472481.7130.046585
40.0714250.49480.311484
50.0012820.00890.496474
6-0.022105-0.15310.439463
70.0281070.19470.423213
80.0931040.6450.260986
90.16381.13480.131038
100.2565551.77750.040914
110.3738152.58990.006337
120.404382.80160.003655
130.3166272.19370.016568
140.1521371.0540.148572
15-0.017289-0.11980.452577
16-0.126825-0.87870.19198
17-0.185443-1.28480.102516
18-0.195093-1.35160.091412
19-0.146218-1.0130.158063
20-0.090979-0.63030.265737
21-0.019934-0.13810.445366
220.0486240.33690.368838
230.1135320.78660.217699
240.1060750.73490.232985
250.0054750.03790.484951
26-0.132815-0.92020.181043
27-0.256274-1.77550.041076
28-0.305428-2.11610.019776
29-0.304971-2.11290.019918
30-0.267169-1.8510.035164
31-0.215616-1.49380.070883
32-0.159334-1.10390.13757
33-0.119164-0.82560.20656
34-0.055483-0.38440.351191
35-0.000599-0.00410.498354
360.0159560.11050.456219
37-0.035141-0.24350.404341
38-0.141846-0.98270.165331
39-0.234405-1.6240.055462
40-0.287298-1.99050.026125
41-0.307028-2.12720.019287
42-0.273827-1.89710.031918
43-0.18608-1.28920.101753
44-0.097225-0.67360.2519
45-0.029085-0.20150.420578
46-0.016906-0.11710.453624
47-0.009819-0.0680.473023
48NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.816139 & 5.6544 & 0 \tabularnewline
2 & 0.525119 & 3.6381 & 0.000335 \tabularnewline
3 & 0.247248 & 1.713 & 0.046585 \tabularnewline
4 & 0.071425 & 0.4948 & 0.311484 \tabularnewline
5 & 0.001282 & 0.0089 & 0.496474 \tabularnewline
6 & -0.022105 & -0.1531 & 0.439463 \tabularnewline
7 & 0.028107 & 0.1947 & 0.423213 \tabularnewline
8 & 0.093104 & 0.645 & 0.260986 \tabularnewline
9 & 0.1638 & 1.1348 & 0.131038 \tabularnewline
10 & 0.256555 & 1.7775 & 0.040914 \tabularnewline
11 & 0.373815 & 2.5899 & 0.006337 \tabularnewline
12 & 0.40438 & 2.8016 & 0.003655 \tabularnewline
13 & 0.316627 & 2.1937 & 0.016568 \tabularnewline
14 & 0.152137 & 1.054 & 0.148572 \tabularnewline
15 & -0.017289 & -0.1198 & 0.452577 \tabularnewline
16 & -0.126825 & -0.8787 & 0.19198 \tabularnewline
17 & -0.185443 & -1.2848 & 0.102516 \tabularnewline
18 & -0.195093 & -1.3516 & 0.091412 \tabularnewline
19 & -0.146218 & -1.013 & 0.158063 \tabularnewline
20 & -0.090979 & -0.6303 & 0.265737 \tabularnewline
21 & -0.019934 & -0.1381 & 0.445366 \tabularnewline
22 & 0.048624 & 0.3369 & 0.368838 \tabularnewline
23 & 0.113532 & 0.7866 & 0.217699 \tabularnewline
24 & 0.106075 & 0.7349 & 0.232985 \tabularnewline
25 & 0.005475 & 0.0379 & 0.484951 \tabularnewline
26 & -0.132815 & -0.9202 & 0.181043 \tabularnewline
27 & -0.256274 & -1.7755 & 0.041076 \tabularnewline
28 & -0.305428 & -2.1161 & 0.019776 \tabularnewline
29 & -0.304971 & -2.1129 & 0.019918 \tabularnewline
30 & -0.267169 & -1.851 & 0.035164 \tabularnewline
31 & -0.215616 & -1.4938 & 0.070883 \tabularnewline
32 & -0.159334 & -1.1039 & 0.13757 \tabularnewline
33 & -0.119164 & -0.8256 & 0.20656 \tabularnewline
34 & -0.055483 & -0.3844 & 0.351191 \tabularnewline
35 & -0.000599 & -0.0041 & 0.498354 \tabularnewline
36 & 0.015956 & 0.1105 & 0.456219 \tabularnewline
37 & -0.035141 & -0.2435 & 0.404341 \tabularnewline
38 & -0.141846 & -0.9827 & 0.165331 \tabularnewline
39 & -0.234405 & -1.624 & 0.055462 \tabularnewline
40 & -0.287298 & -1.9905 & 0.026125 \tabularnewline
41 & -0.307028 & -2.1272 & 0.019287 \tabularnewline
42 & -0.273827 & -1.8971 & 0.031918 \tabularnewline
43 & -0.18608 & -1.2892 & 0.101753 \tabularnewline
44 & -0.097225 & -0.6736 & 0.2519 \tabularnewline
45 & -0.029085 & -0.2015 & 0.420578 \tabularnewline
46 & -0.016906 & -0.1171 & 0.453624 \tabularnewline
47 & -0.009819 & -0.068 & 0.473023 \tabularnewline
48 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]0.816139[/C][C]5.6544[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.525119[/C][C]3.6381[/C][C]0.000335[/C][/ROW]
[ROW][C]3[/C][C]0.247248[/C][C]1.713[/C][C]0.046585[/C][/ROW]
[ROW][C]4[/C][C]0.071425[/C][C]0.4948[/C][C]0.311484[/C][/ROW]
[ROW][C]5[/C][C]0.001282[/C][C]0.0089[/C][C]0.496474[/C][/ROW]
[ROW][C]6[/C][C]-0.022105[/C][C]-0.1531[/C][C]0.439463[/C][/ROW]
[ROW][C]7[/C][C]0.028107[/C][C]0.1947[/C][C]0.423213[/C][/ROW]
[ROW][C]8[/C][C]0.093104[/C][C]0.645[/C][C]0.260986[/C][/ROW]
[ROW][C]9[/C][C]0.1638[/C][C]1.1348[/C][C]0.131038[/C][/ROW]
[ROW][C]10[/C][C]0.256555[/C][C]1.7775[/C][C]0.040914[/C][/ROW]
[ROW][C]11[/C][C]0.373815[/C][C]2.5899[/C][C]0.006337[/C][/ROW]
[ROW][C]12[/C][C]0.40438[/C][C]2.8016[/C][C]0.003655[/C][/ROW]
[ROW][C]13[/C][C]0.316627[/C][C]2.1937[/C][C]0.016568[/C][/ROW]
[ROW][C]14[/C][C]0.152137[/C][C]1.054[/C][C]0.148572[/C][/ROW]
[ROW][C]15[/C][C]-0.017289[/C][C]-0.1198[/C][C]0.452577[/C][/ROW]
[ROW][C]16[/C][C]-0.126825[/C][C]-0.8787[/C][C]0.19198[/C][/ROW]
[ROW][C]17[/C][C]-0.185443[/C][C]-1.2848[/C][C]0.102516[/C][/ROW]
[ROW][C]18[/C][C]-0.195093[/C][C]-1.3516[/C][C]0.091412[/C][/ROW]
[ROW][C]19[/C][C]-0.146218[/C][C]-1.013[/C][C]0.158063[/C][/ROW]
[ROW][C]20[/C][C]-0.090979[/C][C]-0.6303[/C][C]0.265737[/C][/ROW]
[ROW][C]21[/C][C]-0.019934[/C][C]-0.1381[/C][C]0.445366[/C][/ROW]
[ROW][C]22[/C][C]0.048624[/C][C]0.3369[/C][C]0.368838[/C][/ROW]
[ROW][C]23[/C][C]0.113532[/C][C]0.7866[/C][C]0.217699[/C][/ROW]
[ROW][C]24[/C][C]0.106075[/C][C]0.7349[/C][C]0.232985[/C][/ROW]
[ROW][C]25[/C][C]0.005475[/C][C]0.0379[/C][C]0.484951[/C][/ROW]
[ROW][C]26[/C][C]-0.132815[/C][C]-0.9202[/C][C]0.181043[/C][/ROW]
[ROW][C]27[/C][C]-0.256274[/C][C]-1.7755[/C][C]0.041076[/C][/ROW]
[ROW][C]28[/C][C]-0.305428[/C][C]-2.1161[/C][C]0.019776[/C][/ROW]
[ROW][C]29[/C][C]-0.304971[/C][C]-2.1129[/C][C]0.019918[/C][/ROW]
[ROW][C]30[/C][C]-0.267169[/C][C]-1.851[/C][C]0.035164[/C][/ROW]
[ROW][C]31[/C][C]-0.215616[/C][C]-1.4938[/C][C]0.070883[/C][/ROW]
[ROW][C]32[/C][C]-0.159334[/C][C]-1.1039[/C][C]0.13757[/C][/ROW]
[ROW][C]33[/C][C]-0.119164[/C][C]-0.8256[/C][C]0.20656[/C][/ROW]
[ROW][C]34[/C][C]-0.055483[/C][C]-0.3844[/C][C]0.351191[/C][/ROW]
[ROW][C]35[/C][C]-0.000599[/C][C]-0.0041[/C][C]0.498354[/C][/ROW]
[ROW][C]36[/C][C]0.015956[/C][C]0.1105[/C][C]0.456219[/C][/ROW]
[ROW][C]37[/C][C]-0.035141[/C][C]-0.2435[/C][C]0.404341[/C][/ROW]
[ROW][C]38[/C][C]-0.141846[/C][C]-0.9827[/C][C]0.165331[/C][/ROW]
[ROW][C]39[/C][C]-0.234405[/C][C]-1.624[/C][C]0.055462[/C][/ROW]
[ROW][C]40[/C][C]-0.287298[/C][C]-1.9905[/C][C]0.026125[/C][/ROW]
[ROW][C]41[/C][C]-0.307028[/C][C]-2.1272[/C][C]0.019287[/C][/ROW]
[ROW][C]42[/C][C]-0.273827[/C][C]-1.8971[/C][C]0.031918[/C][/ROW]
[ROW][C]43[/C][C]-0.18608[/C][C]-1.2892[/C][C]0.101753[/C][/ROW]
[ROW][C]44[/C][C]-0.097225[/C][C]-0.6736[/C][C]0.2519[/C][/ROW]
[ROW][C]45[/C][C]-0.029085[/C][C]-0.2015[/C][C]0.420578[/C][/ROW]
[ROW][C]46[/C][C]-0.016906[/C][C]-0.1171[/C][C]0.453624[/C][/ROW]
[ROW][C]47[/C][C]-0.009819[/C][C]-0.068[/C][C]0.473023[/C][/ROW]
[ROW][C]48[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.8161395.65440
20.5251193.63810.000335
30.2472481.7130.046585
40.0714250.49480.311484
50.0012820.00890.496474
6-0.022105-0.15310.439463
70.0281070.19470.423213
80.0931040.6450.260986
90.16381.13480.131038
100.2565551.77750.040914
110.3738152.58990.006337
120.404382.80160.003655
130.3166272.19370.016568
140.1521371.0540.148572
15-0.017289-0.11980.452577
16-0.126825-0.87870.19198
17-0.185443-1.28480.102516
18-0.195093-1.35160.091412
19-0.146218-1.0130.158063
20-0.090979-0.63030.265737
21-0.019934-0.13810.445366
220.0486240.33690.368838
230.1135320.78660.217699
240.1060750.73490.232985
250.0054750.03790.484951
26-0.132815-0.92020.181043
27-0.256274-1.77550.041076
28-0.305428-2.11610.019776
29-0.304971-2.11290.019918
30-0.267169-1.8510.035164
31-0.215616-1.49380.070883
32-0.159334-1.10390.13757
33-0.119164-0.82560.20656
34-0.055483-0.38440.351191
35-0.000599-0.00410.498354
360.0159560.11050.456219
37-0.035141-0.24350.404341
38-0.141846-0.98270.165331
39-0.234405-1.6240.055462
40-0.287298-1.99050.026125
41-0.307028-2.12720.019287
42-0.273827-1.89710.031918
43-0.18608-1.28920.101753
44-0.097225-0.67360.2519
45-0.029085-0.20150.420578
46-0.016906-0.11710.453624
47-0.009819-0.0680.473023
48NANANA






Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.8161395.65440
2-0.42215-2.92470.002625
3-0.064541-0.44720.328387
40.0958930.66440.254818
50.0377120.26130.397498
6-0.07496-0.51930.302955
70.2058131.42590.080182
8-0.009351-0.06480.474308
90.075650.52410.301304
100.2164911.49990.070096
110.2253891.56150.062483
12-0.238425-1.65190.052546
13-0.077352-0.53590.297248
14-0.007472-0.05180.479465
15-0.080739-0.55940.289253
16-0.045942-0.31830.375822
17-0.013107-0.09080.464012
18-0.124526-0.86270.196285
190.0540780.37470.35478
20-0.047314-0.32780.372245
210.0543140.37630.354176
22-0.053413-0.37010.356485
230.0764610.52970.299367
24-0.198196-1.37310.088045
25-0.060485-0.41910.338524
26-0.003759-0.0260.489664
27-0.044354-0.30730.379976
28-0.006026-0.04180.483435
290.0295440.20470.419341
30-0.11609-0.80430.212596
31-0.011095-0.07690.469524
320.0452220.31330.377703
33-0.092842-0.64320.261569
340.0994530.6890.24706
350.004920.03410.486476
36-0.027304-0.18920.425381
37-0.054246-0.37580.35435
380.0196030.13580.446269
39-0.067545-0.4680.320964
40-0.038296-0.26530.395949
41-0.084142-0.5830.281328
420.03540.24530.403651
430.077080.5340.297894
44-0.035248-0.24420.404055
45-0.077055-0.53390.297954
46-0.089402-0.61940.269292
470.0641920.44470.329256
48NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.816139 & 5.6544 & 0 \tabularnewline
2 & -0.42215 & -2.9247 & 0.002625 \tabularnewline
3 & -0.064541 & -0.4472 & 0.328387 \tabularnewline
4 & 0.095893 & 0.6644 & 0.254818 \tabularnewline
5 & 0.037712 & 0.2613 & 0.397498 \tabularnewline
6 & -0.07496 & -0.5193 & 0.302955 \tabularnewline
7 & 0.205813 & 1.4259 & 0.080182 \tabularnewline
8 & -0.009351 & -0.0648 & 0.474308 \tabularnewline
9 & 0.07565 & 0.5241 & 0.301304 \tabularnewline
10 & 0.216491 & 1.4999 & 0.070096 \tabularnewline
11 & 0.225389 & 1.5615 & 0.062483 \tabularnewline
12 & -0.238425 & -1.6519 & 0.052546 \tabularnewline
13 & -0.077352 & -0.5359 & 0.297248 \tabularnewline
14 & -0.007472 & -0.0518 & 0.479465 \tabularnewline
15 & -0.080739 & -0.5594 & 0.289253 \tabularnewline
16 & -0.045942 & -0.3183 & 0.375822 \tabularnewline
17 & -0.013107 & -0.0908 & 0.464012 \tabularnewline
18 & -0.124526 & -0.8627 & 0.196285 \tabularnewline
19 & 0.054078 & 0.3747 & 0.35478 \tabularnewline
20 & -0.047314 & -0.3278 & 0.372245 \tabularnewline
21 & 0.054314 & 0.3763 & 0.354176 \tabularnewline
22 & -0.053413 & -0.3701 & 0.356485 \tabularnewline
23 & 0.076461 & 0.5297 & 0.299367 \tabularnewline
24 & -0.198196 & -1.3731 & 0.088045 \tabularnewline
25 & -0.060485 & -0.4191 & 0.338524 \tabularnewline
26 & -0.003759 & -0.026 & 0.489664 \tabularnewline
27 & -0.044354 & -0.3073 & 0.379976 \tabularnewline
28 & -0.006026 & -0.0418 & 0.483435 \tabularnewline
29 & 0.029544 & 0.2047 & 0.419341 \tabularnewline
30 & -0.11609 & -0.8043 & 0.212596 \tabularnewline
31 & -0.011095 & -0.0769 & 0.469524 \tabularnewline
32 & 0.045222 & 0.3133 & 0.377703 \tabularnewline
33 & -0.092842 & -0.6432 & 0.261569 \tabularnewline
34 & 0.099453 & 0.689 & 0.24706 \tabularnewline
35 & 0.00492 & 0.0341 & 0.486476 \tabularnewline
36 & -0.027304 & -0.1892 & 0.425381 \tabularnewline
37 & -0.054246 & -0.3758 & 0.35435 \tabularnewline
38 & 0.019603 & 0.1358 & 0.446269 \tabularnewline
39 & -0.067545 & -0.468 & 0.320964 \tabularnewline
40 & -0.038296 & -0.2653 & 0.395949 \tabularnewline
41 & -0.084142 & -0.583 & 0.281328 \tabularnewline
42 & 0.0354 & 0.2453 & 0.403651 \tabularnewline
43 & 0.07708 & 0.534 & 0.297894 \tabularnewline
44 & -0.035248 & -0.2442 & 0.404055 \tabularnewline
45 & -0.077055 & -0.5339 & 0.297954 \tabularnewline
46 & -0.089402 & -0.6194 & 0.269292 \tabularnewline
47 & 0.064192 & 0.4447 & 0.329256 \tabularnewline
48 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]0.816139[/C][C]5.6544[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.42215[/C][C]-2.9247[/C][C]0.002625[/C][/ROW]
[ROW][C]3[/C][C]-0.064541[/C][C]-0.4472[/C][C]0.328387[/C][/ROW]
[ROW][C]4[/C][C]0.095893[/C][C]0.6644[/C][C]0.254818[/C][/ROW]
[ROW][C]5[/C][C]0.037712[/C][C]0.2613[/C][C]0.397498[/C][/ROW]
[ROW][C]6[/C][C]-0.07496[/C][C]-0.5193[/C][C]0.302955[/C][/ROW]
[ROW][C]7[/C][C]0.205813[/C][C]1.4259[/C][C]0.080182[/C][/ROW]
[ROW][C]8[/C][C]-0.009351[/C][C]-0.0648[/C][C]0.474308[/C][/ROW]
[ROW][C]9[/C][C]0.07565[/C][C]0.5241[/C][C]0.301304[/C][/ROW]
[ROW][C]10[/C][C]0.216491[/C][C]1.4999[/C][C]0.070096[/C][/ROW]
[ROW][C]11[/C][C]0.225389[/C][C]1.5615[/C][C]0.062483[/C][/ROW]
[ROW][C]12[/C][C]-0.238425[/C][C]-1.6519[/C][C]0.052546[/C][/ROW]
[ROW][C]13[/C][C]-0.077352[/C][C]-0.5359[/C][C]0.297248[/C][/ROW]
[ROW][C]14[/C][C]-0.007472[/C][C]-0.0518[/C][C]0.479465[/C][/ROW]
[ROW][C]15[/C][C]-0.080739[/C][C]-0.5594[/C][C]0.289253[/C][/ROW]
[ROW][C]16[/C][C]-0.045942[/C][C]-0.3183[/C][C]0.375822[/C][/ROW]
[ROW][C]17[/C][C]-0.013107[/C][C]-0.0908[/C][C]0.464012[/C][/ROW]
[ROW][C]18[/C][C]-0.124526[/C][C]-0.8627[/C][C]0.196285[/C][/ROW]
[ROW][C]19[/C][C]0.054078[/C][C]0.3747[/C][C]0.35478[/C][/ROW]
[ROW][C]20[/C][C]-0.047314[/C][C]-0.3278[/C][C]0.372245[/C][/ROW]
[ROW][C]21[/C][C]0.054314[/C][C]0.3763[/C][C]0.354176[/C][/ROW]
[ROW][C]22[/C][C]-0.053413[/C][C]-0.3701[/C][C]0.356485[/C][/ROW]
[ROW][C]23[/C][C]0.076461[/C][C]0.5297[/C][C]0.299367[/C][/ROW]
[ROW][C]24[/C][C]-0.198196[/C][C]-1.3731[/C][C]0.088045[/C][/ROW]
[ROW][C]25[/C][C]-0.060485[/C][C]-0.4191[/C][C]0.338524[/C][/ROW]
[ROW][C]26[/C][C]-0.003759[/C][C]-0.026[/C][C]0.489664[/C][/ROW]
[ROW][C]27[/C][C]-0.044354[/C][C]-0.3073[/C][C]0.379976[/C][/ROW]
[ROW][C]28[/C][C]-0.006026[/C][C]-0.0418[/C][C]0.483435[/C][/ROW]
[ROW][C]29[/C][C]0.029544[/C][C]0.2047[/C][C]0.419341[/C][/ROW]
[ROW][C]30[/C][C]-0.11609[/C][C]-0.8043[/C][C]0.212596[/C][/ROW]
[ROW][C]31[/C][C]-0.011095[/C][C]-0.0769[/C][C]0.469524[/C][/ROW]
[ROW][C]32[/C][C]0.045222[/C][C]0.3133[/C][C]0.377703[/C][/ROW]
[ROW][C]33[/C][C]-0.092842[/C][C]-0.6432[/C][C]0.261569[/C][/ROW]
[ROW][C]34[/C][C]0.099453[/C][C]0.689[/C][C]0.24706[/C][/ROW]
[ROW][C]35[/C][C]0.00492[/C][C]0.0341[/C][C]0.486476[/C][/ROW]
[ROW][C]36[/C][C]-0.027304[/C][C]-0.1892[/C][C]0.425381[/C][/ROW]
[ROW][C]37[/C][C]-0.054246[/C][C]-0.3758[/C][C]0.35435[/C][/ROW]
[ROW][C]38[/C][C]0.019603[/C][C]0.1358[/C][C]0.446269[/C][/ROW]
[ROW][C]39[/C][C]-0.067545[/C][C]-0.468[/C][C]0.320964[/C][/ROW]
[ROW][C]40[/C][C]-0.038296[/C][C]-0.2653[/C][C]0.395949[/C][/ROW]
[ROW][C]41[/C][C]-0.084142[/C][C]-0.583[/C][C]0.281328[/C][/ROW]
[ROW][C]42[/C][C]0.0354[/C][C]0.2453[/C][C]0.403651[/C][/ROW]
[ROW][C]43[/C][C]0.07708[/C][C]0.534[/C][C]0.297894[/C][/ROW]
[ROW][C]44[/C][C]-0.035248[/C][C]-0.2442[/C][C]0.404055[/C][/ROW]
[ROW][C]45[/C][C]-0.077055[/C][C]-0.5339[/C][C]0.297954[/C][/ROW]
[ROW][C]46[/C][C]-0.089402[/C][C]-0.6194[/C][C]0.269292[/C][/ROW]
[ROW][C]47[/C][C]0.064192[/C][C]0.4447[/C][C]0.329256[/C][/ROW]
[ROW][C]48[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&T=2

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.8161395.65440
2-0.42215-2.92470.002625
3-0.064541-0.44720.328387
40.0958930.66440.254818
50.0377120.26130.397498
6-0.07496-0.51930.302955
70.2058131.42590.080182
8-0.009351-0.06480.474308
90.075650.52410.301304
100.2164911.49990.070096
110.2253891.56150.062483
12-0.238425-1.65190.052546
13-0.077352-0.53590.297248
14-0.007472-0.05180.479465
15-0.080739-0.55940.289253
16-0.045942-0.31830.375822
17-0.013107-0.09080.464012
18-0.124526-0.86270.196285
190.0540780.37470.35478
20-0.047314-0.32780.372245
210.0543140.37630.354176
22-0.053413-0.37010.356485
230.0764610.52970.299367
24-0.198196-1.37310.088045
25-0.060485-0.41910.338524
26-0.003759-0.0260.489664
27-0.044354-0.30730.379976
28-0.006026-0.04180.483435
290.0295440.20470.419341
30-0.11609-0.80430.212596
31-0.011095-0.07690.469524
320.0452220.31330.377703
33-0.092842-0.64320.261569
340.0994530.6890.24706
350.004920.03410.486476
36-0.027304-0.18920.425381
37-0.054246-0.37580.35435
380.0196030.13580.446269
39-0.067545-0.4680.320964
40-0.038296-0.26530.395949
41-0.084142-0.5830.281328
420.03540.24530.403651
430.077080.5340.297894
44-0.035248-0.24420.404055
45-0.077055-0.53390.297954
46-0.089402-0.61940.269292
470.0641920.44470.329256
48NANANA


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ; par8 = ;
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 (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
par7 <- as.numeric(par7)
if (par8 != '') par8 <- as.numeric(par8)
x <- na.omit(x)
ox <- x
if (par8 == '') {
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
} else {
x <- log(x,base=par8)
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='picts.png')
op <- par(mfrow=c(2,1))
plot(ox,type='l',main='Original Time Series',xlab='time',ylab='value')
if (par8=='') {
mytitle <- paste('Working Time Series (lambda=',par2,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
} else {
mytitle <- paste('Working Time Series (base=',par8,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(base=',par8,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
}
plot(x,type='l', main=mytitle,xlab='time',ylab='value')
par(op)
dev.off()
bitmap(file='pic1.png')
racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=mysub)
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF',sub=mysub)
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')