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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationTue, 09 Dec 2008 13:27:26 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Dec/09/t1228854526g84nor4pmohtk8v.htm/, Retrieved Tue, 14 May 2024 17:42:11 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=31785, Retrieved Tue, 14 May 2024 17:42:11 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsPartial autocorrelation function voor differentiatie-paper
Estimated Impact220

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [(Partial) Autocorrelation Function] [Partial autocorre...] [2008-12-09 20:18:51] [12d343c4448a5f9e527bb31caeac580b]
-   P     [(Partial) Autocorrelation Function] [Partial autocorre...] [2008-12-09 20:27:26] [0cdfeda4aa2f9e551c2e529c44a404df] [Current]
-  MPD      [(Partial) Autocorrelation Function] [] [2009-12-11 11:51:14] [cf890101a20378422561610e0d41fd9c]
-   P         [(Partial) Autocorrelation Function] [] [2009-12-11 12:06:31] [cf890101a20378422561610e0d41fd9c]
- R PD        [(Partial) Autocorrelation Function] [] [2010-12-21 12:03:44] [4f85667043e8913570b3eb8f368f82b2]
- R PD        [(Partial) Autocorrelation Function] [] [2010-12-21 13:14:30] [4f85667043e8913570b3eb8f368f82b2]
- R PD        [(Partial) Autocorrelation Function] [] [2010-12-21 19:24:48] [4f85667043e8913570b3eb8f368f82b2]
- R PD        [(Partial) Autocorrelation Function] [] [2010-12-22 10:09:35] [4f85667043e8913570b3eb8f368f82b2]
-  MPD      [(Partial) Autocorrelation Function] [] [2009-12-14 22:08:47] [bb3c50fa849023ee18f70dac946932de]
-   P         [(Partial) Autocorrelation Function] [] [2009-12-14 23:44:06] [bb3c50fa849023ee18f70dac946932de]
- RMPD      [(Partial) Autocorrelation Function] [] [2009-12-17 10:05:30] [fa44bc1b850de3469c0e3e9a5981c418]
- R  D        [(Partial) Autocorrelation Function] [autocorrelatie vo...] [2010-12-29 18:17:26] [5a05da414fd67612c3b80d44effe0727]
- R PD        [(Partial) Autocorrelation Function] [autocorrelatie na...] [2010-12-29 18:34:59] [5a05da414fd67612c3b80d44effe0727]
- RMPD        [Variance Reduction Matrix] [variance reductio...] [2010-12-29 18:59:19] [5a05da414fd67612c3b80d44effe0727]
- RMPD        [Spectral Analysis] [spectraalanalyse ...] [2010-12-29 19:43:01] [5a05da414fd67612c3b80d44effe0727]
- RMPD        [Spectral Analysis] [spectraalanalyse ...] [2010-12-29 19:46:05] [5a05da414fd67612c3b80d44effe0727]
- RMPD        [Spectral Analysis] [spectraalanalyse ...] [2010-12-29 19:55:51] [5a05da414fd67612c3b80d44effe0727]
- R PD        [(Partial) Autocorrelation Function] [partial autocorre...] [2010-12-29 21:21:39] [5a05da414fd67612c3b80d44effe0727]
- R PD        [(Partial) Autocorrelation Function] [partial autocorre...] [2010-12-29 21:23:25] [5a05da414fd67612c3b80d44effe0727]
- RMPD      [(Partial) Autocorrelation Function] [Partial correlati...] [2009-12-17 10:35:53] [fa44bc1b850de3469c0e3e9a5981c418]
- RMPD      [(Partial) Autocorrelation Function] [Differentiatie 2] [2009-12-17 11:33:23] [fa44bc1b850de3469c0e3e9a5981c418]
-  MPD      [(Partial) Autocorrelation Function] [ACF met: d=0, D=0...] [2009-12-19 10:53:32] [34d27ebe78dc2d31581e8710befe8733]
- RMPD      [(Partial) Autocorrelation Function] [] [2009-12-21 12:19:04] [5d3787a0898969f50f64a85def6703e1]
- RMPD      [Standard Deviation-Mean Plot] [] [2009-12-21 12:21:15] [5d3787a0898969f50f64a85def6703e1]
- RMPD      [(Partial) Autocorrelation Function] [] [2009-12-21 12:47:04] [5d3787a0898969f50f64a85def6703e1]
- RMPD      [(Partial) Autocorrelation Function] [Autocorrelatie bi...] [2009-12-21 14:51:48] [9dbb467a28ad600d808a4e47d5e0774e]
-   P         [(Partial) Autocorrelation Function] [Autocorrelatie bi...] [2009-12-21 15:07:00] [9dbb467a28ad600d808a4e47d5e0774e]
-               [(Partial) Autocorrelation Function] [paper] [2010-12-28 16:30:36] [654616a560d52fe6eb611aa3bbf6b3c7]
-   P         [(Partial) Autocorrelation Function] [Autocorrelatie bi...] [2009-12-21 15:18:45] [9dbb467a28ad600d808a4e47d5e0774e]
-               [(Partial) Autocorrelation Function] [paper] [2010-12-28 16:33:51] [654616a560d52fe6eb611aa3bbf6b3c7]
-             [(Partial) Autocorrelation Function] [paper] [2010-12-28 16:27:45] [654616a560d52fe6eb611aa3bbf6b3c7]
- RM D      [(Partial) Autocorrelation Function] [acf geboortes] [2010-12-03 11:53:51] [4eaa304e6a28c475ba490fccf4c01ad3]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
14929387.5
14717825.3
15826281.2
16301309.6
15033016.9
16998460.6
14066462.7
13328937.3
17319718.2
17586426.8
15887037.4
17935679.1
15869489
15892510.9
17556558.1
16791643
15953688.5
18144913.6
14390881
13885708.7
17332571.5
17152595.8
16003877.1
16841467.1
14783398.1
14667847.5
17714362.2
16282088
15014866.2
17722582.4
13876509.4
15495489.6
17799521.1
17920079.1
17248022.4
18813782.4
16249688.3
17823358.5
20424438.3
17814218.7
19699959.6
19776328.1
15679833.1
17119266.5
20092613
20863688.3
20925203.1
21032593
20664684.3
19711511.4
22553293.4
19498332.9
20722827.8
21321275
17960847.7
17789654.9
20003708.5
21169851.7
20422839.4
19810562.3

Tables (Output of Computation)





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

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=31785&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=31785&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31785&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 time1 seconds
R Server'George Udny Yule' @ 72.249.76.132






Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.6100994.72587e-06
20.4740873.67230.000257
30.5990424.64021e-05
40.4099653.17560.001181
50.4687163.63070.000293
60.6698425.18861e-06
70.383092.96740.002154
80.2913892.25710.013828
90.3954673.06330.001638
100.1835291.42160.080158
110.2725432.11110.019469
120.4885493.78430.000179
130.1738671.34680.09156
140.0700080.54230.294816
150.1339791.03780.151765
16-0.038059-0.29480.384582
170.0503430.390.348974
180.2012591.55890.062135
19-0.030144-0.23350.408087
20-0.082564-0.63950.262454
21-0.019092-0.14790.441463
22-0.185789-1.43910.077658
23-0.064515-0.49970.309547
240.0682550.52870.299481
25-0.165446-1.28150.102467
26-0.181492-1.40580.082466
27-0.149797-1.16030.125256
28-0.2589-2.00540.024717
29-0.177659-1.37610.086946
30-0.090661-0.70230.242617
31-0.246821-1.91190.030336
32-0.230454-1.78510.039651
33-0.213015-1.650.052084
34-0.304993-2.36250.010707
35-0.17714-1.37210.087567
36-0.095139-0.73690.232015
37-0.218378-1.69150.04796
38-0.247703-1.91870.029892
39-0.220559-1.70840.046362
40-0.270156-2.09260.020311
41-0.200442-1.55260.062887
42-0.147146-1.13980.129452
43-0.236484-1.83180.035973
44-0.243308-1.88470.032161
45-0.222734-1.72530.044812
46-0.259578-2.01070.02443
47-0.191477-1.48320.071631
48-0.138917-1.0760.143108
49-0.17331-1.34250.092253
50-0.179366-1.38940.084928
51-0.159559-1.23590.110648
52-0.157673-1.22130.113369
53-0.109294-0.84660.200294
54-0.06269-0.48560.314511
55-0.076267-0.59080.27845
56-0.080671-0.62490.26721
57-0.071019-0.55010.292143
58-0.046033-0.35660.361331
59-0.019585-0.15170.439964
60NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.610099 & 4.7258 & 7e-06 \tabularnewline
2 & 0.474087 & 3.6723 & 0.000257 \tabularnewline
3 & 0.599042 & 4.6402 & 1e-05 \tabularnewline
4 & 0.409965 & 3.1756 & 0.001181 \tabularnewline
5 & 0.468716 & 3.6307 & 0.000293 \tabularnewline
6 & 0.669842 & 5.1886 & 1e-06 \tabularnewline
7 & 0.38309 & 2.9674 & 0.002154 \tabularnewline
8 & 0.291389 & 2.2571 & 0.013828 \tabularnewline
9 & 0.395467 & 3.0633 & 0.001638 \tabularnewline
10 & 0.183529 & 1.4216 & 0.080158 \tabularnewline
11 & 0.272543 & 2.1111 & 0.019469 \tabularnewline
12 & 0.488549 & 3.7843 & 0.000179 \tabularnewline
13 & 0.173867 & 1.3468 & 0.09156 \tabularnewline
14 & 0.070008 & 0.5423 & 0.294816 \tabularnewline
15 & 0.133979 & 1.0378 & 0.151765 \tabularnewline
16 & -0.038059 & -0.2948 & 0.384582 \tabularnewline
17 & 0.050343 & 0.39 & 0.348974 \tabularnewline
18 & 0.201259 & 1.5589 & 0.062135 \tabularnewline
19 & -0.030144 & -0.2335 & 0.408087 \tabularnewline
20 & -0.082564 & -0.6395 & 0.262454 \tabularnewline
21 & -0.019092 & -0.1479 & 0.441463 \tabularnewline
22 & -0.185789 & -1.4391 & 0.077658 \tabularnewline
23 & -0.064515 & -0.4997 & 0.309547 \tabularnewline
24 & 0.068255 & 0.5287 & 0.299481 \tabularnewline
25 & -0.165446 & -1.2815 & 0.102467 \tabularnewline
26 & -0.181492 & -1.4058 & 0.082466 \tabularnewline
27 & -0.149797 & -1.1603 & 0.125256 \tabularnewline
28 & -0.2589 & -2.0054 & 0.024717 \tabularnewline
29 & -0.177659 & -1.3761 & 0.086946 \tabularnewline
30 & -0.090661 & -0.7023 & 0.242617 \tabularnewline
31 & -0.246821 & -1.9119 & 0.030336 \tabularnewline
32 & -0.230454 & -1.7851 & 0.039651 \tabularnewline
33 & -0.213015 & -1.65 & 0.052084 \tabularnewline
34 & -0.304993 & -2.3625 & 0.010707 \tabularnewline
35 & -0.17714 & -1.3721 & 0.087567 \tabularnewline
36 & -0.095139 & -0.7369 & 0.232015 \tabularnewline
37 & -0.218378 & -1.6915 & 0.04796 \tabularnewline
38 & -0.247703 & -1.9187 & 0.029892 \tabularnewline
39 & -0.220559 & -1.7084 & 0.046362 \tabularnewline
40 & -0.270156 & -2.0926 & 0.020311 \tabularnewline
41 & -0.200442 & -1.5526 & 0.062887 \tabularnewline
42 & -0.147146 & -1.1398 & 0.129452 \tabularnewline
43 & -0.236484 & -1.8318 & 0.035973 \tabularnewline
44 & -0.243308 & -1.8847 & 0.032161 \tabularnewline
45 & -0.222734 & -1.7253 & 0.044812 \tabularnewline
46 & -0.259578 & -2.0107 & 0.02443 \tabularnewline
47 & -0.191477 & -1.4832 & 0.071631 \tabularnewline
48 & -0.138917 & -1.076 & 0.143108 \tabularnewline
49 & -0.17331 & -1.3425 & 0.092253 \tabularnewline
50 & -0.179366 & -1.3894 & 0.084928 \tabularnewline
51 & -0.159559 & -1.2359 & 0.110648 \tabularnewline
52 & -0.157673 & -1.2213 & 0.113369 \tabularnewline
53 & -0.109294 & -0.8466 & 0.200294 \tabularnewline
54 & -0.06269 & -0.4856 & 0.314511 \tabularnewline
55 & -0.076267 & -0.5908 & 0.27845 \tabularnewline
56 & -0.080671 & -0.6249 & 0.26721 \tabularnewline
57 & -0.071019 & -0.5501 & 0.292143 \tabularnewline
58 & -0.046033 & -0.3566 & 0.361331 \tabularnewline
59 & -0.019585 & -0.1517 & 0.439964 \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=31785&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]0.610099[/C][C]4.7258[/C][C]7e-06[/C][/ROW]
[ROW][C]2[/C][C]0.474087[/C][C]3.6723[/C][C]0.000257[/C][/ROW]
[ROW][C]3[/C][C]0.599042[/C][C]4.6402[/C][C]1e-05[/C][/ROW]
[ROW][C]4[/C][C]0.409965[/C][C]3.1756[/C][C]0.001181[/C][/ROW]
[ROW][C]5[/C][C]0.468716[/C][C]3.6307[/C][C]0.000293[/C][/ROW]
[ROW][C]6[/C][C]0.669842[/C][C]5.1886[/C][C]1e-06[/C][/ROW]
[ROW][C]7[/C][C]0.38309[/C][C]2.9674[/C][C]0.002154[/C][/ROW]
[ROW][C]8[/C][C]0.291389[/C][C]2.2571[/C][C]0.013828[/C][/ROW]
[ROW][C]9[/C][C]0.395467[/C][C]3.0633[/C][C]0.001638[/C][/ROW]
[ROW][C]10[/C][C]0.183529[/C][C]1.4216[/C][C]0.080158[/C][/ROW]
[ROW][C]11[/C][C]0.272543[/C][C]2.1111[/C][C]0.019469[/C][/ROW]
[ROW][C]12[/C][C]0.488549[/C][C]3.7843[/C][C]0.000179[/C][/ROW]
[ROW][C]13[/C][C]0.173867[/C][C]1.3468[/C][C]0.09156[/C][/ROW]
[ROW][C]14[/C][C]0.070008[/C][C]0.5423[/C][C]0.294816[/C][/ROW]
[ROW][C]15[/C][C]0.133979[/C][C]1.0378[/C][C]0.151765[/C][/ROW]
[ROW][C]16[/C][C]-0.038059[/C][C]-0.2948[/C][C]0.384582[/C][/ROW]
[ROW][C]17[/C][C]0.050343[/C][C]0.39[/C][C]0.348974[/C][/ROW]
[ROW][C]18[/C][C]0.201259[/C][C]1.5589[/C][C]0.062135[/C][/ROW]
[ROW][C]19[/C][C]-0.030144[/C][C]-0.2335[/C][C]0.408087[/C][/ROW]
[ROW][C]20[/C][C]-0.082564[/C][C]-0.6395[/C][C]0.262454[/C][/ROW]
[ROW][C]21[/C][C]-0.019092[/C][C]-0.1479[/C][C]0.441463[/C][/ROW]
[ROW][C]22[/C][C]-0.185789[/C][C]-1.4391[/C][C]0.077658[/C][/ROW]
[ROW][C]23[/C][C]-0.064515[/C][C]-0.4997[/C][C]0.309547[/C][/ROW]
[ROW][C]24[/C][C]0.068255[/C][C]0.5287[/C][C]0.299481[/C][/ROW]
[ROW][C]25[/C][C]-0.165446[/C][C]-1.2815[/C][C]0.102467[/C][/ROW]
[ROW][C]26[/C][C]-0.181492[/C][C]-1.4058[/C][C]0.082466[/C][/ROW]
[ROW][C]27[/C][C]-0.149797[/C][C]-1.1603[/C][C]0.125256[/C][/ROW]
[ROW][C]28[/C][C]-0.2589[/C][C]-2.0054[/C][C]0.024717[/C][/ROW]
[ROW][C]29[/C][C]-0.177659[/C][C]-1.3761[/C][C]0.086946[/C][/ROW]
[ROW][C]30[/C][C]-0.090661[/C][C]-0.7023[/C][C]0.242617[/C][/ROW]
[ROW][C]31[/C][C]-0.246821[/C][C]-1.9119[/C][C]0.030336[/C][/ROW]
[ROW][C]32[/C][C]-0.230454[/C][C]-1.7851[/C][C]0.039651[/C][/ROW]
[ROW][C]33[/C][C]-0.213015[/C][C]-1.65[/C][C]0.052084[/C][/ROW]
[ROW][C]34[/C][C]-0.304993[/C][C]-2.3625[/C][C]0.010707[/C][/ROW]
[ROW][C]35[/C][C]-0.17714[/C][C]-1.3721[/C][C]0.087567[/C][/ROW]
[ROW][C]36[/C][C]-0.095139[/C][C]-0.7369[/C][C]0.232015[/C][/ROW]
[ROW][C]37[/C][C]-0.218378[/C][C]-1.6915[/C][C]0.04796[/C][/ROW]
[ROW][C]38[/C][C]-0.247703[/C][C]-1.9187[/C][C]0.029892[/C][/ROW]
[ROW][C]39[/C][C]-0.220559[/C][C]-1.7084[/C][C]0.046362[/C][/ROW]
[ROW][C]40[/C][C]-0.270156[/C][C]-2.0926[/C][C]0.020311[/C][/ROW]
[ROW][C]41[/C][C]-0.200442[/C][C]-1.5526[/C][C]0.062887[/C][/ROW]
[ROW][C]42[/C][C]-0.147146[/C][C]-1.1398[/C][C]0.129452[/C][/ROW]
[ROW][C]43[/C][C]-0.236484[/C][C]-1.8318[/C][C]0.035973[/C][/ROW]
[ROW][C]44[/C][C]-0.243308[/C][C]-1.8847[/C][C]0.032161[/C][/ROW]
[ROW][C]45[/C][C]-0.222734[/C][C]-1.7253[/C][C]0.044812[/C][/ROW]
[ROW][C]46[/C][C]-0.259578[/C][C]-2.0107[/C][C]0.02443[/C][/ROW]
[ROW][C]47[/C][C]-0.191477[/C][C]-1.4832[/C][C]0.071631[/C][/ROW]
[ROW][C]48[/C][C]-0.138917[/C][C]-1.076[/C][C]0.143108[/C][/ROW]
[ROW][C]49[/C][C]-0.17331[/C][C]-1.3425[/C][C]0.092253[/C][/ROW]
[ROW][C]50[/C][C]-0.179366[/C][C]-1.3894[/C][C]0.084928[/C][/ROW]
[ROW][C]51[/C][C]-0.159559[/C][C]-1.2359[/C][C]0.110648[/C][/ROW]
[ROW][C]52[/C][C]-0.157673[/C][C]-1.2213[/C][C]0.113369[/C][/ROW]
[ROW][C]53[/C][C]-0.109294[/C][C]-0.8466[/C][C]0.200294[/C][/ROW]
[ROW][C]54[/C][C]-0.06269[/C][C]-0.4856[/C][C]0.314511[/C][/ROW]
[ROW][C]55[/C][C]-0.076267[/C][C]-0.5908[/C][C]0.27845[/C][/ROW]
[ROW][C]56[/C][C]-0.080671[/C][C]-0.6249[/C][C]0.26721[/C][/ROW]
[ROW][C]57[/C][C]-0.071019[/C][C]-0.5501[/C][C]0.292143[/C][/ROW]
[ROW][C]58[/C][C]-0.046033[/C][C]-0.3566[/C][C]0.361331[/C][/ROW]
[ROW][C]59[/C][C]-0.019585[/C][C]-0.1517[/C][C]0.439964[/C][/ROW]
[ROW][C]60[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=31785&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31785&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
10.6100994.72587e-06
20.4740873.67230.000257
30.5990424.64021e-05
40.4099653.17560.001181
50.4687163.63070.000293
60.6698425.18861e-06
70.383092.96740.002154
80.2913892.25710.013828
90.3954673.06330.001638
100.1835291.42160.080158
110.2725432.11110.019469
120.4885493.78430.000179
130.1738671.34680.09156
140.0700080.54230.294816
150.1339791.03780.151765
16-0.038059-0.29480.384582
170.0503430.390.348974
180.2012591.55890.062135
19-0.030144-0.23350.408087
20-0.082564-0.63950.262454
21-0.019092-0.14790.441463
22-0.185789-1.43910.077658
23-0.064515-0.49970.309547
240.0682550.52870.299481
25-0.165446-1.28150.102467
26-0.181492-1.40580.082466
27-0.149797-1.16030.125256
28-0.2589-2.00540.024717
29-0.177659-1.37610.086946
30-0.090661-0.70230.242617
31-0.246821-1.91190.030336
32-0.230454-1.78510.039651
33-0.213015-1.650.052084
34-0.304993-2.36250.010707
35-0.17714-1.37210.087567
36-0.095139-0.73690.232015
37-0.218378-1.69150.04796
38-0.247703-1.91870.029892
39-0.220559-1.70840.046362
40-0.270156-2.09260.020311
41-0.200442-1.55260.062887
42-0.147146-1.13980.129452
43-0.236484-1.83180.035973
44-0.243308-1.88470.032161
45-0.222734-1.72530.044812
46-0.259578-2.01070.02443
47-0.191477-1.48320.071631
48-0.138917-1.0760.143108
49-0.17331-1.34250.092253
50-0.179366-1.38940.084928
51-0.159559-1.23590.110648
52-0.157673-1.22130.113369
53-0.109294-0.84660.200294
54-0.06269-0.48560.314511
55-0.076267-0.59080.27845
56-0.080671-0.62490.26721
57-0.071019-0.55010.292143
58-0.046033-0.35660.361331
59-0.019585-0.15170.439964
60NANANA






Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.6100994.72587e-06
20.1622651.25690.106831
30.4216573.26610.000902
4-0.173566-1.34440.091934
50.3369182.60980.005712
60.3309642.56360.006441
7-0.323424-2.50520.007485
8-0.099551-0.77110.221832
9-0.015581-0.12070.452171
10-0.170158-1.3180.09625
110.1757531.36140.089243
120.2164381.67650.04942
13-0.297512-2.30450.012335
14-0.176441-1.36670.088408
15-0.15043-1.16520.12427
160.0585960.45390.325775
170.0290.22460.411515
18-0.013851-0.10730.457459
190.0702930.54450.294062
20-0.030345-0.23510.407485
21-0.029713-0.23020.409377
22-0.012947-0.10030.460224
230.0522540.40480.343547
24-0.082492-0.6390.262633
25-0.081985-0.63510.263904
260.0697220.54010.295577
27-0.048993-0.37950.352829
280.0635660.49240.312123
29-0.197774-1.5320.065395
30-0.067819-0.52530.300646
310.0347990.26950.394216
320.0531770.41190.340938
33-0.01447-0.11210.455566
340.0445160.34480.365718
35-0.000295-0.00230.499091
360.0434040.33620.368945
370.0442580.34280.366467
38-0.230124-1.78250.039861
390.0677540.52480.30082
40-0.074628-0.57810.282691
41-0.032057-0.24830.402372
420.02030.15720.437789
43-0.049679-0.38480.350869
44-0.084241-0.65250.258277
450.0149250.11560.454174
46-0.016943-0.13120.448013
47-0.038923-0.30150.382038
480.0009140.00710.497187
490.0829030.64220.261605
500.1756131.36030.089413
51-0.024714-0.19140.424416
52-0.007724-0.05980.476246
530.0123590.09570.462028
54-0.055565-0.43040.334223
550.01010.07820.468952
560.0171840.13310.447278
57-0.003924-0.03040.487927
58-0.019105-0.1480.441426
59-0.020425-0.15820.437411
60NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.610099 & 4.7258 & 7e-06 \tabularnewline
2 & 0.162265 & 1.2569 & 0.106831 \tabularnewline
3 & 0.421657 & 3.2661 & 0.000902 \tabularnewline
4 & -0.173566 & -1.3444 & 0.091934 \tabularnewline
5 & 0.336918 & 2.6098 & 0.005712 \tabularnewline
6 & 0.330964 & 2.5636 & 0.006441 \tabularnewline
7 & -0.323424 & -2.5052 & 0.007485 \tabularnewline
8 & -0.099551 & -0.7711 & 0.221832 \tabularnewline
9 & -0.015581 & -0.1207 & 0.452171 \tabularnewline
10 & -0.170158 & -1.318 & 0.09625 \tabularnewline
11 & 0.175753 & 1.3614 & 0.089243 \tabularnewline
12 & 0.216438 & 1.6765 & 0.04942 \tabularnewline
13 & -0.297512 & -2.3045 & 0.012335 \tabularnewline
14 & -0.176441 & -1.3667 & 0.088408 \tabularnewline
15 & -0.15043 & -1.1652 & 0.12427 \tabularnewline
16 & 0.058596 & 0.4539 & 0.325775 \tabularnewline
17 & 0.029 & 0.2246 & 0.411515 \tabularnewline
18 & -0.013851 & -0.1073 & 0.457459 \tabularnewline
19 & 0.070293 & 0.5445 & 0.294062 \tabularnewline
20 & -0.030345 & -0.2351 & 0.407485 \tabularnewline
21 & -0.029713 & -0.2302 & 0.409377 \tabularnewline
22 & -0.012947 & -0.1003 & 0.460224 \tabularnewline
23 & 0.052254 & 0.4048 & 0.343547 \tabularnewline
24 & -0.082492 & -0.639 & 0.262633 \tabularnewline
25 & -0.081985 & -0.6351 & 0.263904 \tabularnewline
26 & 0.069722 & 0.5401 & 0.295577 \tabularnewline
27 & -0.048993 & -0.3795 & 0.352829 \tabularnewline
28 & 0.063566 & 0.4924 & 0.312123 \tabularnewline
29 & -0.197774 & -1.532 & 0.065395 \tabularnewline
30 & -0.067819 & -0.5253 & 0.300646 \tabularnewline
31 & 0.034799 & 0.2695 & 0.394216 \tabularnewline
32 & 0.053177 & 0.4119 & 0.340938 \tabularnewline
33 & -0.01447 & -0.1121 & 0.455566 \tabularnewline
34 & 0.044516 & 0.3448 & 0.365718 \tabularnewline
35 & -0.000295 & -0.0023 & 0.499091 \tabularnewline
36 & 0.043404 & 0.3362 & 0.368945 \tabularnewline
37 & 0.044258 & 0.3428 & 0.366467 \tabularnewline
38 & -0.230124 & -1.7825 & 0.039861 \tabularnewline
39 & 0.067754 & 0.5248 & 0.30082 \tabularnewline
40 & -0.074628 & -0.5781 & 0.282691 \tabularnewline
41 & -0.032057 & -0.2483 & 0.402372 \tabularnewline
42 & 0.0203 & 0.1572 & 0.437789 \tabularnewline
43 & -0.049679 & -0.3848 & 0.350869 \tabularnewline
44 & -0.084241 & -0.6525 & 0.258277 \tabularnewline
45 & 0.014925 & 0.1156 & 0.454174 \tabularnewline
46 & -0.016943 & -0.1312 & 0.448013 \tabularnewline
47 & -0.038923 & -0.3015 & 0.382038 \tabularnewline
48 & 0.000914 & 0.0071 & 0.497187 \tabularnewline
49 & 0.082903 & 0.6422 & 0.261605 \tabularnewline
50 & 0.175613 & 1.3603 & 0.089413 \tabularnewline
51 & -0.024714 & -0.1914 & 0.424416 \tabularnewline
52 & -0.007724 & -0.0598 & 0.476246 \tabularnewline
53 & 0.012359 & 0.0957 & 0.462028 \tabularnewline
54 & -0.055565 & -0.4304 & 0.334223 \tabularnewline
55 & 0.0101 & 0.0782 & 0.468952 \tabularnewline
56 & 0.017184 & 0.1331 & 0.447278 \tabularnewline
57 & -0.003924 & -0.0304 & 0.487927 \tabularnewline
58 & -0.019105 & -0.148 & 0.441426 \tabularnewline
59 & -0.020425 & -0.1582 & 0.437411 \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=31785&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]0.610099[/C][C]4.7258[/C][C]7e-06[/C][/ROW]
[ROW][C]2[/C][C]0.162265[/C][C]1.2569[/C][C]0.106831[/C][/ROW]
[ROW][C]3[/C][C]0.421657[/C][C]3.2661[/C][C]0.000902[/C][/ROW]
[ROW][C]4[/C][C]-0.173566[/C][C]-1.3444[/C][C]0.091934[/C][/ROW]
[ROW][C]5[/C][C]0.336918[/C][C]2.6098[/C][C]0.005712[/C][/ROW]
[ROW][C]6[/C][C]0.330964[/C][C]2.5636[/C][C]0.006441[/C][/ROW]
[ROW][C]7[/C][C]-0.323424[/C][C]-2.5052[/C][C]0.007485[/C][/ROW]
[ROW][C]8[/C][C]-0.099551[/C][C]-0.7711[/C][C]0.221832[/C][/ROW]
[ROW][C]9[/C][C]-0.015581[/C][C]-0.1207[/C][C]0.452171[/C][/ROW]
[ROW][C]10[/C][C]-0.170158[/C][C]-1.318[/C][C]0.09625[/C][/ROW]
[ROW][C]11[/C][C]0.175753[/C][C]1.3614[/C][C]0.089243[/C][/ROW]
[ROW][C]12[/C][C]0.216438[/C][C]1.6765[/C][C]0.04942[/C][/ROW]
[ROW][C]13[/C][C]-0.297512[/C][C]-2.3045[/C][C]0.012335[/C][/ROW]
[ROW][C]14[/C][C]-0.176441[/C][C]-1.3667[/C][C]0.088408[/C][/ROW]
[ROW][C]15[/C][C]-0.15043[/C][C]-1.1652[/C][C]0.12427[/C][/ROW]
[ROW][C]16[/C][C]0.058596[/C][C]0.4539[/C][C]0.325775[/C][/ROW]
[ROW][C]17[/C][C]0.029[/C][C]0.2246[/C][C]0.411515[/C][/ROW]
[ROW][C]18[/C][C]-0.013851[/C][C]-0.1073[/C][C]0.457459[/C][/ROW]
[ROW][C]19[/C][C]0.070293[/C][C]0.5445[/C][C]0.294062[/C][/ROW]
[ROW][C]20[/C][C]-0.030345[/C][C]-0.2351[/C][C]0.407485[/C][/ROW]
[ROW][C]21[/C][C]-0.029713[/C][C]-0.2302[/C][C]0.409377[/C][/ROW]
[ROW][C]22[/C][C]-0.012947[/C][C]-0.1003[/C][C]0.460224[/C][/ROW]
[ROW][C]23[/C][C]0.052254[/C][C]0.4048[/C][C]0.343547[/C][/ROW]
[ROW][C]24[/C][C]-0.082492[/C][C]-0.639[/C][C]0.262633[/C][/ROW]
[ROW][C]25[/C][C]-0.081985[/C][C]-0.6351[/C][C]0.263904[/C][/ROW]
[ROW][C]26[/C][C]0.069722[/C][C]0.5401[/C][C]0.295577[/C][/ROW]
[ROW][C]27[/C][C]-0.048993[/C][C]-0.3795[/C][C]0.352829[/C][/ROW]
[ROW][C]28[/C][C]0.063566[/C][C]0.4924[/C][C]0.312123[/C][/ROW]
[ROW][C]29[/C][C]-0.197774[/C][C]-1.532[/C][C]0.065395[/C][/ROW]
[ROW][C]30[/C][C]-0.067819[/C][C]-0.5253[/C][C]0.300646[/C][/ROW]
[ROW][C]31[/C][C]0.034799[/C][C]0.2695[/C][C]0.394216[/C][/ROW]
[ROW][C]32[/C][C]0.053177[/C][C]0.4119[/C][C]0.340938[/C][/ROW]
[ROW][C]33[/C][C]-0.01447[/C][C]-0.1121[/C][C]0.455566[/C][/ROW]
[ROW][C]34[/C][C]0.044516[/C][C]0.3448[/C][C]0.365718[/C][/ROW]
[ROW][C]35[/C][C]-0.000295[/C][C]-0.0023[/C][C]0.499091[/C][/ROW]
[ROW][C]36[/C][C]0.043404[/C][C]0.3362[/C][C]0.368945[/C][/ROW]
[ROW][C]37[/C][C]0.044258[/C][C]0.3428[/C][C]0.366467[/C][/ROW]
[ROW][C]38[/C][C]-0.230124[/C][C]-1.7825[/C][C]0.039861[/C][/ROW]
[ROW][C]39[/C][C]0.067754[/C][C]0.5248[/C][C]0.30082[/C][/ROW]
[ROW][C]40[/C][C]-0.074628[/C][C]-0.5781[/C][C]0.282691[/C][/ROW]
[ROW][C]41[/C][C]-0.032057[/C][C]-0.2483[/C][C]0.402372[/C][/ROW]
[ROW][C]42[/C][C]0.0203[/C][C]0.1572[/C][C]0.437789[/C][/ROW]
[ROW][C]43[/C][C]-0.049679[/C][C]-0.3848[/C][C]0.350869[/C][/ROW]
[ROW][C]44[/C][C]-0.084241[/C][C]-0.6525[/C][C]0.258277[/C][/ROW]
[ROW][C]45[/C][C]0.014925[/C][C]0.1156[/C][C]0.454174[/C][/ROW]
[ROW][C]46[/C][C]-0.016943[/C][C]-0.1312[/C][C]0.448013[/C][/ROW]
[ROW][C]47[/C][C]-0.038923[/C][C]-0.3015[/C][C]0.382038[/C][/ROW]
[ROW][C]48[/C][C]0.000914[/C][C]0.0071[/C][C]0.497187[/C][/ROW]
[ROW][C]49[/C][C]0.082903[/C][C]0.6422[/C][C]0.261605[/C][/ROW]
[ROW][C]50[/C][C]0.175613[/C][C]1.3603[/C][C]0.089413[/C][/ROW]
[ROW][C]51[/C][C]-0.024714[/C][C]-0.1914[/C][C]0.424416[/C][/ROW]
[ROW][C]52[/C][C]-0.007724[/C][C]-0.0598[/C][C]0.476246[/C][/ROW]
[ROW][C]53[/C][C]0.012359[/C][C]0.0957[/C][C]0.462028[/C][/ROW]
[ROW][C]54[/C][C]-0.055565[/C][C]-0.4304[/C][C]0.334223[/C][/ROW]
[ROW][C]55[/C][C]0.0101[/C][C]0.0782[/C][C]0.468952[/C][/ROW]
[ROW][C]56[/C][C]0.017184[/C][C]0.1331[/C][C]0.447278[/C][/ROW]
[ROW][C]57[/C][C]-0.003924[/C][C]-0.0304[/C][C]0.487927[/C][/ROW]
[ROW][C]58[/C][C]-0.019105[/C][C]-0.148[/C][C]0.441426[/C][/ROW]
[ROW][C]59[/C][C]-0.020425[/C][C]-0.1582[/C][C]0.437411[/C][/ROW]
[ROW][C]60[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=31785&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31785&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
10.6100994.72587e-06
20.1622651.25690.106831
30.4216573.26610.000902
4-0.173566-1.34440.091934
50.3369182.60980.005712
60.3309642.56360.006441
7-0.323424-2.50520.007485
8-0.099551-0.77110.221832
9-0.015581-0.12070.452171
10-0.170158-1.3180.09625
110.1757531.36140.089243
120.2164381.67650.04942
13-0.297512-2.30450.012335
14-0.176441-1.36670.088408
15-0.15043-1.16520.12427
160.0585960.45390.325775
170.0290.22460.411515
18-0.013851-0.10730.457459
190.0702930.54450.294062
20-0.030345-0.23510.407485
21-0.029713-0.23020.409377
22-0.012947-0.10030.460224
230.0522540.40480.343547
24-0.082492-0.6390.262633
25-0.081985-0.63510.263904
260.0697220.54010.295577
27-0.048993-0.37950.352829
280.0635660.49240.312123
29-0.197774-1.5320.065395
30-0.067819-0.52530.300646
310.0347990.26950.394216
320.0531770.41190.340938
33-0.01447-0.11210.455566
340.0445160.34480.365718
35-0.000295-0.00230.499091
360.0434040.33620.368945
370.0442580.34280.366467
38-0.230124-1.78250.039861
390.0677540.52480.30082
40-0.074628-0.57810.282691
41-0.032057-0.24830.402372
420.02030.15720.437789
43-0.049679-0.38480.350869
44-0.084241-0.65250.258277
450.0149250.11560.454174
46-0.016943-0.13120.448013
47-0.038923-0.30150.382038
480.0009140.00710.497187
490.0829030.64220.261605
500.1756131.36030.089413
51-0.024714-0.19140.424416
52-0.007724-0.05980.476246
530.0123590.09570.462028
54-0.055565-0.43040.334223
550.01010.07820.468952
560.0171840.13310.447278
57-0.003924-0.03040.487927
58-0.019105-0.1480.441426
59-0.020425-0.15820.437411
60NANANA


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; 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')