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of Irreproducible Research!

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 computationMon, 22 Dec 2008 09:30:14 -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/22/t12299634477r9syqd0izj1lxe.htm/, Retrieved Fri, 26 Apr 2024 19:00:37 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=36125, Retrieved Fri, 26 Apr 2024 19:00:37 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact227
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [data set] [2008-12-01 19:54:57] [b98453cac15ba1066b407e146608df68]
F   P   [Univariate Data Series] [Herproducering ti...] [2008-12-03 14:38:00] [6fea0e9a9b3b29a63badf2c274e82506]
-   P     [Univariate Data Series] [Identification an...] [2008-12-08 18:55:50] [79c17183721a40a589db5f9f561947d8]
- RMPD        [(Partial) Autocorrelation Function] [ACF Handelsbalans] [2008-12-22 16:30:14] [ba85d9d0a82357dd3edf208eef933423] [Current]
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Dataseries X:
1384,2
1368,9
-275,1
-408,9
-37,5
171,5
671,8
-18,5
231,6
747,5
1505,7
-83,6
1173,2
1452,1
777
-52,8
861,2
735,2
1073,6
966,9
1189,8
1093,5
1782,7
-70,4
1471,6
1273,8
900,8
-910,2
299,8
460,2
677,2
937,1
1265,4
1275,6
1582,6
-154,2
1667,6
1083,1
891,7
-26,5
423,4
662,8
711,4
993,3
1133,2
343,9
1415,8
-531,8
1193,6
1201,3
805,6
-164,8
327,3
223,7
675,8
949,7
704,4
265,6
1206
-558,2
1066,8
977,8
207,1
-980,7
-586,4
-24,3
-417,5
104,7
749,5
842,3
1176
-730,3
911,6
662,1
539,1
-236
286,9
497,4
912
519,4
260,1
945,2
412,7
-54,2
592,8
179,9
-548,6
-1685,8
-2041
-1048,7
-1708,4
-1550,7
-1650,2
-911,3




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 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 & 4 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36125&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]4 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=36125&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36125&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 time4 seconds
R Server'George Udny Yule' @ 72.249.76.132







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.4801564.65535e-06
20.396683.8460.000109
30.2912.82130.002917
40.3563193.45460.000414
50.1596821.54820.06247
60.1049841.01790.155678
70.0120860.11720.453485
80.1246611.20860.114917
90.0033580.03260.487047
100.0206560.20030.420851
11-0.007299-0.07080.471866
120.3694713.58220.000271
130.0188280.18250.427775
140.0038570.03740.485124
15-0.036616-0.3550.361691
160.1043281.01150.157187
17-0.019795-0.19190.42411
18-0.001821-0.01770.492975
19-0.014211-0.13780.445356
200.1068681.03610.151402
210.0381040.36940.35632
220.061380.59510.276603
230.0624350.60530.273209
240.3990273.86870.000101
250.1241221.20340.115919
260.1073511.04080.150316
270.0265920.25780.398555
280.0998590.96820.167723
29-0.008101-0.07850.468783
30-0.030131-0.29210.385414
31-0.073491-0.71250.238952
320.0034980.03390.486509
33-0.047835-0.46380.321939
34-0.049834-0.48320.315055
35-0.045006-0.43640.331792
360.1978441.91820.029062
37-0.01825-0.17690.429967
38-0.050056-0.48530.314293
39-0.072294-0.70090.242542
40-0.003226-0.03130.487557
41-0.104399-1.01220.157023
42-0.117007-1.13440.129751
43-0.114036-1.10560.135857
44-0.065605-0.63610.26314
45-0.083432-0.80890.210307
46-0.120707-1.17030.12242
47-0.119335-1.1570.125104
480.0750210.72740.234408
49-0.075788-0.73480.232147
50-0.109248-1.05920.146111
51-0.124787-1.20990.114684
52-0.073202-0.70970.239817
53-0.142719-1.38370.084862
54-0.175485-1.70140.046087
55-0.147273-1.42790.078323
56-0.105106-1.0190.155399
57-0.108637-1.05330.147458
58-0.122012-1.1830.119906
59-0.067716-0.65650.256542
600.0658970.63890.262223

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.480156 & 4.6553 & 5e-06 \tabularnewline
2 & 0.39668 & 3.846 & 0.000109 \tabularnewline
3 & 0.291 & 2.8213 & 0.002917 \tabularnewline
4 & 0.356319 & 3.4546 & 0.000414 \tabularnewline
5 & 0.159682 & 1.5482 & 0.06247 \tabularnewline
6 & 0.104984 & 1.0179 & 0.155678 \tabularnewline
7 & 0.012086 & 0.1172 & 0.453485 \tabularnewline
8 & 0.124661 & 1.2086 & 0.114917 \tabularnewline
9 & 0.003358 & 0.0326 & 0.487047 \tabularnewline
10 & 0.020656 & 0.2003 & 0.420851 \tabularnewline
11 & -0.007299 & -0.0708 & 0.471866 \tabularnewline
12 & 0.369471 & 3.5822 & 0.000271 \tabularnewline
13 & 0.018828 & 0.1825 & 0.427775 \tabularnewline
14 & 0.003857 & 0.0374 & 0.485124 \tabularnewline
15 & -0.036616 & -0.355 & 0.361691 \tabularnewline
16 & 0.104328 & 1.0115 & 0.157187 \tabularnewline
17 & -0.019795 & -0.1919 & 0.42411 \tabularnewline
18 & -0.001821 & -0.0177 & 0.492975 \tabularnewline
19 & -0.014211 & -0.1378 & 0.445356 \tabularnewline
20 & 0.106868 & 1.0361 & 0.151402 \tabularnewline
21 & 0.038104 & 0.3694 & 0.35632 \tabularnewline
22 & 0.06138 & 0.5951 & 0.276603 \tabularnewline
23 & 0.062435 & 0.6053 & 0.273209 \tabularnewline
24 & 0.399027 & 3.8687 & 0.000101 \tabularnewline
25 & 0.124122 & 1.2034 & 0.115919 \tabularnewline
26 & 0.107351 & 1.0408 & 0.150316 \tabularnewline
27 & 0.026592 & 0.2578 & 0.398555 \tabularnewline
28 & 0.099859 & 0.9682 & 0.167723 \tabularnewline
29 & -0.008101 & -0.0785 & 0.468783 \tabularnewline
30 & -0.030131 & -0.2921 & 0.385414 \tabularnewline
31 & -0.073491 & -0.7125 & 0.238952 \tabularnewline
32 & 0.003498 & 0.0339 & 0.486509 \tabularnewline
33 & -0.047835 & -0.4638 & 0.321939 \tabularnewline
34 & -0.049834 & -0.4832 & 0.315055 \tabularnewline
35 & -0.045006 & -0.4364 & 0.331792 \tabularnewline
36 & 0.197844 & 1.9182 & 0.029062 \tabularnewline
37 & -0.01825 & -0.1769 & 0.429967 \tabularnewline
38 & -0.050056 & -0.4853 & 0.314293 \tabularnewline
39 & -0.072294 & -0.7009 & 0.242542 \tabularnewline
40 & -0.003226 & -0.0313 & 0.487557 \tabularnewline
41 & -0.104399 & -1.0122 & 0.157023 \tabularnewline
42 & -0.117007 & -1.1344 & 0.129751 \tabularnewline
43 & -0.114036 & -1.1056 & 0.135857 \tabularnewline
44 & -0.065605 & -0.6361 & 0.26314 \tabularnewline
45 & -0.083432 & -0.8089 & 0.210307 \tabularnewline
46 & -0.120707 & -1.1703 & 0.12242 \tabularnewline
47 & -0.119335 & -1.157 & 0.125104 \tabularnewline
48 & 0.075021 & 0.7274 & 0.234408 \tabularnewline
49 & -0.075788 & -0.7348 & 0.232147 \tabularnewline
50 & -0.109248 & -1.0592 & 0.146111 \tabularnewline
51 & -0.124787 & -1.2099 & 0.114684 \tabularnewline
52 & -0.073202 & -0.7097 & 0.239817 \tabularnewline
53 & -0.142719 & -1.3837 & 0.084862 \tabularnewline
54 & -0.175485 & -1.7014 & 0.046087 \tabularnewline
55 & -0.147273 & -1.4279 & 0.078323 \tabularnewline
56 & -0.105106 & -1.019 & 0.155399 \tabularnewline
57 & -0.108637 & -1.0533 & 0.147458 \tabularnewline
58 & -0.122012 & -1.183 & 0.119906 \tabularnewline
59 & -0.067716 & -0.6565 & 0.256542 \tabularnewline
60 & 0.065897 & 0.6389 & 0.262223 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36125&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]0.480156[/C][C]4.6553[/C][C]5e-06[/C][/ROW]
[ROW][C]2[/C][C]0.39668[/C][C]3.846[/C][C]0.000109[/C][/ROW]
[ROW][C]3[/C][C]0.291[/C][C]2.8213[/C][C]0.002917[/C][/ROW]
[ROW][C]4[/C][C]0.356319[/C][C]3.4546[/C][C]0.000414[/C][/ROW]
[ROW][C]5[/C][C]0.159682[/C][C]1.5482[/C][C]0.06247[/C][/ROW]
[ROW][C]6[/C][C]0.104984[/C][C]1.0179[/C][C]0.155678[/C][/ROW]
[ROW][C]7[/C][C]0.012086[/C][C]0.1172[/C][C]0.453485[/C][/ROW]
[ROW][C]8[/C][C]0.124661[/C][C]1.2086[/C][C]0.114917[/C][/ROW]
[ROW][C]9[/C][C]0.003358[/C][C]0.0326[/C][C]0.487047[/C][/ROW]
[ROW][C]10[/C][C]0.020656[/C][C]0.2003[/C][C]0.420851[/C][/ROW]
[ROW][C]11[/C][C]-0.007299[/C][C]-0.0708[/C][C]0.471866[/C][/ROW]
[ROW][C]12[/C][C]0.369471[/C][C]3.5822[/C][C]0.000271[/C][/ROW]
[ROW][C]13[/C][C]0.018828[/C][C]0.1825[/C][C]0.427775[/C][/ROW]
[ROW][C]14[/C][C]0.003857[/C][C]0.0374[/C][C]0.485124[/C][/ROW]
[ROW][C]15[/C][C]-0.036616[/C][C]-0.355[/C][C]0.361691[/C][/ROW]
[ROW][C]16[/C][C]0.104328[/C][C]1.0115[/C][C]0.157187[/C][/ROW]
[ROW][C]17[/C][C]-0.019795[/C][C]-0.1919[/C][C]0.42411[/C][/ROW]
[ROW][C]18[/C][C]-0.001821[/C][C]-0.0177[/C][C]0.492975[/C][/ROW]
[ROW][C]19[/C][C]-0.014211[/C][C]-0.1378[/C][C]0.445356[/C][/ROW]
[ROW][C]20[/C][C]0.106868[/C][C]1.0361[/C][C]0.151402[/C][/ROW]
[ROW][C]21[/C][C]0.038104[/C][C]0.3694[/C][C]0.35632[/C][/ROW]
[ROW][C]22[/C][C]0.06138[/C][C]0.5951[/C][C]0.276603[/C][/ROW]
[ROW][C]23[/C][C]0.062435[/C][C]0.6053[/C][C]0.273209[/C][/ROW]
[ROW][C]24[/C][C]0.399027[/C][C]3.8687[/C][C]0.000101[/C][/ROW]
[ROW][C]25[/C][C]0.124122[/C][C]1.2034[/C][C]0.115919[/C][/ROW]
[ROW][C]26[/C][C]0.107351[/C][C]1.0408[/C][C]0.150316[/C][/ROW]
[ROW][C]27[/C][C]0.026592[/C][C]0.2578[/C][C]0.398555[/C][/ROW]
[ROW][C]28[/C][C]0.099859[/C][C]0.9682[/C][C]0.167723[/C][/ROW]
[ROW][C]29[/C][C]-0.008101[/C][C]-0.0785[/C][C]0.468783[/C][/ROW]
[ROW][C]30[/C][C]-0.030131[/C][C]-0.2921[/C][C]0.385414[/C][/ROW]
[ROW][C]31[/C][C]-0.073491[/C][C]-0.7125[/C][C]0.238952[/C][/ROW]
[ROW][C]32[/C][C]0.003498[/C][C]0.0339[/C][C]0.486509[/C][/ROW]
[ROW][C]33[/C][C]-0.047835[/C][C]-0.4638[/C][C]0.321939[/C][/ROW]
[ROW][C]34[/C][C]-0.049834[/C][C]-0.4832[/C][C]0.315055[/C][/ROW]
[ROW][C]35[/C][C]-0.045006[/C][C]-0.4364[/C][C]0.331792[/C][/ROW]
[ROW][C]36[/C][C]0.197844[/C][C]1.9182[/C][C]0.029062[/C][/ROW]
[ROW][C]37[/C][C]-0.01825[/C][C]-0.1769[/C][C]0.429967[/C][/ROW]
[ROW][C]38[/C][C]-0.050056[/C][C]-0.4853[/C][C]0.314293[/C][/ROW]
[ROW][C]39[/C][C]-0.072294[/C][C]-0.7009[/C][C]0.242542[/C][/ROW]
[ROW][C]40[/C][C]-0.003226[/C][C]-0.0313[/C][C]0.487557[/C][/ROW]
[ROW][C]41[/C][C]-0.104399[/C][C]-1.0122[/C][C]0.157023[/C][/ROW]
[ROW][C]42[/C][C]-0.117007[/C][C]-1.1344[/C][C]0.129751[/C][/ROW]
[ROW][C]43[/C][C]-0.114036[/C][C]-1.1056[/C][C]0.135857[/C][/ROW]
[ROW][C]44[/C][C]-0.065605[/C][C]-0.6361[/C][C]0.26314[/C][/ROW]
[ROW][C]45[/C][C]-0.083432[/C][C]-0.8089[/C][C]0.210307[/C][/ROW]
[ROW][C]46[/C][C]-0.120707[/C][C]-1.1703[/C][C]0.12242[/C][/ROW]
[ROW][C]47[/C][C]-0.119335[/C][C]-1.157[/C][C]0.125104[/C][/ROW]
[ROW][C]48[/C][C]0.075021[/C][C]0.7274[/C][C]0.234408[/C][/ROW]
[ROW][C]49[/C][C]-0.075788[/C][C]-0.7348[/C][C]0.232147[/C][/ROW]
[ROW][C]50[/C][C]-0.109248[/C][C]-1.0592[/C][C]0.146111[/C][/ROW]
[ROW][C]51[/C][C]-0.124787[/C][C]-1.2099[/C][C]0.114684[/C][/ROW]
[ROW][C]52[/C][C]-0.073202[/C][C]-0.7097[/C][C]0.239817[/C][/ROW]
[ROW][C]53[/C][C]-0.142719[/C][C]-1.3837[/C][C]0.084862[/C][/ROW]
[ROW][C]54[/C][C]-0.175485[/C][C]-1.7014[/C][C]0.046087[/C][/ROW]
[ROW][C]55[/C][C]-0.147273[/C][C]-1.4279[/C][C]0.078323[/C][/ROW]
[ROW][C]56[/C][C]-0.105106[/C][C]-1.019[/C][C]0.155399[/C][/ROW]
[ROW][C]57[/C][C]-0.108637[/C][C]-1.0533[/C][C]0.147458[/C][/ROW]
[ROW][C]58[/C][C]-0.122012[/C][C]-1.183[/C][C]0.119906[/C][/ROW]
[ROW][C]59[/C][C]-0.067716[/C][C]-0.6565[/C][C]0.256542[/C][/ROW]
[ROW][C]60[/C][C]0.065897[/C][C]0.6389[/C][C]0.262223[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36125&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36125&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
10.4801564.65535e-06
20.396683.8460.000109
30.2912.82130.002917
40.3563193.45460.000414
50.1596821.54820.06247
60.1049841.01790.155678
70.0120860.11720.453485
80.1246611.20860.114917
90.0033580.03260.487047
100.0206560.20030.420851
11-0.007299-0.07080.471866
120.3694713.58220.000271
130.0188280.18250.427775
140.0038570.03740.485124
15-0.036616-0.3550.361691
160.1043281.01150.157187
17-0.019795-0.19190.42411
18-0.001821-0.01770.492975
19-0.014211-0.13780.445356
200.1068681.03610.151402
210.0381040.36940.35632
220.061380.59510.276603
230.0624350.60530.273209
240.3990273.86870.000101
250.1241221.20340.115919
260.1073511.04080.150316
270.0265920.25780.398555
280.0998590.96820.167723
29-0.008101-0.07850.468783
30-0.030131-0.29210.385414
31-0.073491-0.71250.238952
320.0034980.03390.486509
33-0.047835-0.46380.321939
34-0.049834-0.48320.315055
35-0.045006-0.43640.331792
360.1978441.91820.029062
37-0.01825-0.17690.429967
38-0.050056-0.48530.314293
39-0.072294-0.70090.242542
40-0.003226-0.03130.487557
41-0.104399-1.01220.157023
42-0.117007-1.13440.129751
43-0.114036-1.10560.135857
44-0.065605-0.63610.26314
45-0.083432-0.80890.210307
46-0.120707-1.17030.12242
47-0.119335-1.1570.125104
480.0750210.72740.234408
49-0.075788-0.73480.232147
50-0.109248-1.05920.146111
51-0.124787-1.20990.114684
52-0.073202-0.70970.239817
53-0.142719-1.38370.084862
54-0.175485-1.70140.046087
55-0.147273-1.42790.078323
56-0.105106-1.0190.155399
57-0.108637-1.05330.147458
58-0.122012-1.1830.119906
59-0.067716-0.65650.256542
600.0658970.63890.262223







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.4801564.65535e-06
20.2159082.09330.019508
30.0517810.5020.308407
40.2012521.95120.027005
5-0.143071-1.38710.084342
6-0.061892-0.60010.274952
7-0.078303-0.75920.224823
80.1294931.25550.106209
9-0.065564-0.63570.263269
100.0200220.19410.42325
110.0188540.18280.427678
120.4827174.68015e-06
13-0.45246-4.38681.5e-05
14-0.068732-0.66640.253399
150.0138820.13460.446612
160.0250010.24240.4045
17-0.007991-0.07750.469206
180.0987380.95730.170436
190.1457351.4130.080487
20-0.068737-0.66640.253384
210.0315060.30550.380345
220.0092590.08980.464331
230.1225181.18790.118942
240.1034321.00280.159264
25-0.074435-0.72170.236143
26-0.006475-0.06280.475037
27-0.111158-1.07770.141959
28-0.148413-1.43890.076748
290.0739370.71690.237622
300.0146890.14240.443527
310.0019090.01850.492637
320.0179080.17360.431268
330.0609320.59080.27805
34-0.044045-0.4270.335168
350.0168210.16310.435402
36-0.060656-0.58810.278943
37-0.036485-0.35370.362166
38-0.096287-0.93350.176467
390.0856380.83030.204238
40-0.00722-0.070.472171
41-0.106004-1.02770.153353
42-0.006107-0.05920.476456
430.049280.47780.316956
44-0.071337-0.69160.245434
45-0.020754-0.20120.42048
46-0.01341-0.130.448418
47-0.055095-0.53420.297245
48-0.053481-0.51850.302659
49-0.012668-0.12280.451257
500.0162640.15770.437521
51-0.067658-0.6560.256724
52-0.0222-0.21520.415023
530.0258450.25060.401344
54-0.048307-0.46840.320307
55-0.032887-0.31890.375274
560.0433110.41990.337751
57-0.015367-0.1490.44094
580.0161730.15680.43787
590.0617560.59870.275391
60-0.056972-0.55240.291004

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.480156 & 4.6553 & 5e-06 \tabularnewline
2 & 0.215908 & 2.0933 & 0.019508 \tabularnewline
3 & 0.051781 & 0.502 & 0.308407 \tabularnewline
4 & 0.201252 & 1.9512 & 0.027005 \tabularnewline
5 & -0.143071 & -1.3871 & 0.084342 \tabularnewline
6 & -0.061892 & -0.6001 & 0.274952 \tabularnewline
7 & -0.078303 & -0.7592 & 0.224823 \tabularnewline
8 & 0.129493 & 1.2555 & 0.106209 \tabularnewline
9 & -0.065564 & -0.6357 & 0.263269 \tabularnewline
10 & 0.020022 & 0.1941 & 0.42325 \tabularnewline
11 & 0.018854 & 0.1828 & 0.427678 \tabularnewline
12 & 0.482717 & 4.6801 & 5e-06 \tabularnewline
13 & -0.45246 & -4.3868 & 1.5e-05 \tabularnewline
14 & -0.068732 & -0.6664 & 0.253399 \tabularnewline
15 & 0.013882 & 0.1346 & 0.446612 \tabularnewline
16 & 0.025001 & 0.2424 & 0.4045 \tabularnewline
17 & -0.007991 & -0.0775 & 0.469206 \tabularnewline
18 & 0.098738 & 0.9573 & 0.170436 \tabularnewline
19 & 0.145735 & 1.413 & 0.080487 \tabularnewline
20 & -0.068737 & -0.6664 & 0.253384 \tabularnewline
21 & 0.031506 & 0.3055 & 0.380345 \tabularnewline
22 & 0.009259 & 0.0898 & 0.464331 \tabularnewline
23 & 0.122518 & 1.1879 & 0.118942 \tabularnewline
24 & 0.103432 & 1.0028 & 0.159264 \tabularnewline
25 & -0.074435 & -0.7217 & 0.236143 \tabularnewline
26 & -0.006475 & -0.0628 & 0.475037 \tabularnewline
27 & -0.111158 & -1.0777 & 0.141959 \tabularnewline
28 & -0.148413 & -1.4389 & 0.076748 \tabularnewline
29 & 0.073937 & 0.7169 & 0.237622 \tabularnewline
30 & 0.014689 & 0.1424 & 0.443527 \tabularnewline
31 & 0.001909 & 0.0185 & 0.492637 \tabularnewline
32 & 0.017908 & 0.1736 & 0.431268 \tabularnewline
33 & 0.060932 & 0.5908 & 0.27805 \tabularnewline
34 & -0.044045 & -0.427 & 0.335168 \tabularnewline
35 & 0.016821 & 0.1631 & 0.435402 \tabularnewline
36 & -0.060656 & -0.5881 & 0.278943 \tabularnewline
37 & -0.036485 & -0.3537 & 0.362166 \tabularnewline
38 & -0.096287 & -0.9335 & 0.176467 \tabularnewline
39 & 0.085638 & 0.8303 & 0.204238 \tabularnewline
40 & -0.00722 & -0.07 & 0.472171 \tabularnewline
41 & -0.106004 & -1.0277 & 0.153353 \tabularnewline
42 & -0.006107 & -0.0592 & 0.476456 \tabularnewline
43 & 0.04928 & 0.4778 & 0.316956 \tabularnewline
44 & -0.071337 & -0.6916 & 0.245434 \tabularnewline
45 & -0.020754 & -0.2012 & 0.42048 \tabularnewline
46 & -0.01341 & -0.13 & 0.448418 \tabularnewline
47 & -0.055095 & -0.5342 & 0.297245 \tabularnewline
48 & -0.053481 & -0.5185 & 0.302659 \tabularnewline
49 & -0.012668 & -0.1228 & 0.451257 \tabularnewline
50 & 0.016264 & 0.1577 & 0.437521 \tabularnewline
51 & -0.067658 & -0.656 & 0.256724 \tabularnewline
52 & -0.0222 & -0.2152 & 0.415023 \tabularnewline
53 & 0.025845 & 0.2506 & 0.401344 \tabularnewline
54 & -0.048307 & -0.4684 & 0.320307 \tabularnewline
55 & -0.032887 & -0.3189 & 0.375274 \tabularnewline
56 & 0.043311 & 0.4199 & 0.337751 \tabularnewline
57 & -0.015367 & -0.149 & 0.44094 \tabularnewline
58 & 0.016173 & 0.1568 & 0.43787 \tabularnewline
59 & 0.061756 & 0.5987 & 0.275391 \tabularnewline
60 & -0.056972 & -0.5524 & 0.291004 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36125&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]0.480156[/C][C]4.6553[/C][C]5e-06[/C][/ROW]
[ROW][C]2[/C][C]0.215908[/C][C]2.0933[/C][C]0.019508[/C][/ROW]
[ROW][C]3[/C][C]0.051781[/C][C]0.502[/C][C]0.308407[/C][/ROW]
[ROW][C]4[/C][C]0.201252[/C][C]1.9512[/C][C]0.027005[/C][/ROW]
[ROW][C]5[/C][C]-0.143071[/C][C]-1.3871[/C][C]0.084342[/C][/ROW]
[ROW][C]6[/C][C]-0.061892[/C][C]-0.6001[/C][C]0.274952[/C][/ROW]
[ROW][C]7[/C][C]-0.078303[/C][C]-0.7592[/C][C]0.224823[/C][/ROW]
[ROW][C]8[/C][C]0.129493[/C][C]1.2555[/C][C]0.106209[/C][/ROW]
[ROW][C]9[/C][C]-0.065564[/C][C]-0.6357[/C][C]0.263269[/C][/ROW]
[ROW][C]10[/C][C]0.020022[/C][C]0.1941[/C][C]0.42325[/C][/ROW]
[ROW][C]11[/C][C]0.018854[/C][C]0.1828[/C][C]0.427678[/C][/ROW]
[ROW][C]12[/C][C]0.482717[/C][C]4.6801[/C][C]5e-06[/C][/ROW]
[ROW][C]13[/C][C]-0.45246[/C][C]-4.3868[/C][C]1.5e-05[/C][/ROW]
[ROW][C]14[/C][C]-0.068732[/C][C]-0.6664[/C][C]0.253399[/C][/ROW]
[ROW][C]15[/C][C]0.013882[/C][C]0.1346[/C][C]0.446612[/C][/ROW]
[ROW][C]16[/C][C]0.025001[/C][C]0.2424[/C][C]0.4045[/C][/ROW]
[ROW][C]17[/C][C]-0.007991[/C][C]-0.0775[/C][C]0.469206[/C][/ROW]
[ROW][C]18[/C][C]0.098738[/C][C]0.9573[/C][C]0.170436[/C][/ROW]
[ROW][C]19[/C][C]0.145735[/C][C]1.413[/C][C]0.080487[/C][/ROW]
[ROW][C]20[/C][C]-0.068737[/C][C]-0.6664[/C][C]0.253384[/C][/ROW]
[ROW][C]21[/C][C]0.031506[/C][C]0.3055[/C][C]0.380345[/C][/ROW]
[ROW][C]22[/C][C]0.009259[/C][C]0.0898[/C][C]0.464331[/C][/ROW]
[ROW][C]23[/C][C]0.122518[/C][C]1.1879[/C][C]0.118942[/C][/ROW]
[ROW][C]24[/C][C]0.103432[/C][C]1.0028[/C][C]0.159264[/C][/ROW]
[ROW][C]25[/C][C]-0.074435[/C][C]-0.7217[/C][C]0.236143[/C][/ROW]
[ROW][C]26[/C][C]-0.006475[/C][C]-0.0628[/C][C]0.475037[/C][/ROW]
[ROW][C]27[/C][C]-0.111158[/C][C]-1.0777[/C][C]0.141959[/C][/ROW]
[ROW][C]28[/C][C]-0.148413[/C][C]-1.4389[/C][C]0.076748[/C][/ROW]
[ROW][C]29[/C][C]0.073937[/C][C]0.7169[/C][C]0.237622[/C][/ROW]
[ROW][C]30[/C][C]0.014689[/C][C]0.1424[/C][C]0.443527[/C][/ROW]
[ROW][C]31[/C][C]0.001909[/C][C]0.0185[/C][C]0.492637[/C][/ROW]
[ROW][C]32[/C][C]0.017908[/C][C]0.1736[/C][C]0.431268[/C][/ROW]
[ROW][C]33[/C][C]0.060932[/C][C]0.5908[/C][C]0.27805[/C][/ROW]
[ROW][C]34[/C][C]-0.044045[/C][C]-0.427[/C][C]0.335168[/C][/ROW]
[ROW][C]35[/C][C]0.016821[/C][C]0.1631[/C][C]0.435402[/C][/ROW]
[ROW][C]36[/C][C]-0.060656[/C][C]-0.5881[/C][C]0.278943[/C][/ROW]
[ROW][C]37[/C][C]-0.036485[/C][C]-0.3537[/C][C]0.362166[/C][/ROW]
[ROW][C]38[/C][C]-0.096287[/C][C]-0.9335[/C][C]0.176467[/C][/ROW]
[ROW][C]39[/C][C]0.085638[/C][C]0.8303[/C][C]0.204238[/C][/ROW]
[ROW][C]40[/C][C]-0.00722[/C][C]-0.07[/C][C]0.472171[/C][/ROW]
[ROW][C]41[/C][C]-0.106004[/C][C]-1.0277[/C][C]0.153353[/C][/ROW]
[ROW][C]42[/C][C]-0.006107[/C][C]-0.0592[/C][C]0.476456[/C][/ROW]
[ROW][C]43[/C][C]0.04928[/C][C]0.4778[/C][C]0.316956[/C][/ROW]
[ROW][C]44[/C][C]-0.071337[/C][C]-0.6916[/C][C]0.245434[/C][/ROW]
[ROW][C]45[/C][C]-0.020754[/C][C]-0.2012[/C][C]0.42048[/C][/ROW]
[ROW][C]46[/C][C]-0.01341[/C][C]-0.13[/C][C]0.448418[/C][/ROW]
[ROW][C]47[/C][C]-0.055095[/C][C]-0.5342[/C][C]0.297245[/C][/ROW]
[ROW][C]48[/C][C]-0.053481[/C][C]-0.5185[/C][C]0.302659[/C][/ROW]
[ROW][C]49[/C][C]-0.012668[/C][C]-0.1228[/C][C]0.451257[/C][/ROW]
[ROW][C]50[/C][C]0.016264[/C][C]0.1577[/C][C]0.437521[/C][/ROW]
[ROW][C]51[/C][C]-0.067658[/C][C]-0.656[/C][C]0.256724[/C][/ROW]
[ROW][C]52[/C][C]-0.0222[/C][C]-0.2152[/C][C]0.415023[/C][/ROW]
[ROW][C]53[/C][C]0.025845[/C][C]0.2506[/C][C]0.401344[/C][/ROW]
[ROW][C]54[/C][C]-0.048307[/C][C]-0.4684[/C][C]0.320307[/C][/ROW]
[ROW][C]55[/C][C]-0.032887[/C][C]-0.3189[/C][C]0.375274[/C][/ROW]
[ROW][C]56[/C][C]0.043311[/C][C]0.4199[/C][C]0.337751[/C][/ROW]
[ROW][C]57[/C][C]-0.015367[/C][C]-0.149[/C][C]0.44094[/C][/ROW]
[ROW][C]58[/C][C]0.016173[/C][C]0.1568[/C][C]0.43787[/C][/ROW]
[ROW][C]59[/C][C]0.061756[/C][C]0.5987[/C][C]0.275391[/C][/ROW]
[ROW][C]60[/C][C]-0.056972[/C][C]-0.5524[/C][C]0.291004[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36125&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36125&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
10.4801564.65535e-06
20.2159082.09330.019508
30.0517810.5020.308407
40.2012521.95120.027005
5-0.143071-1.38710.084342
6-0.061892-0.60010.274952
7-0.078303-0.75920.224823
80.1294931.25550.106209
9-0.065564-0.63570.263269
100.0200220.19410.42325
110.0188540.18280.427678
120.4827174.68015e-06
13-0.45246-4.38681.5e-05
14-0.068732-0.66640.253399
150.0138820.13460.446612
160.0250010.24240.4045
17-0.007991-0.07750.469206
180.0987380.95730.170436
190.1457351.4130.080487
20-0.068737-0.66640.253384
210.0315060.30550.380345
220.0092590.08980.464331
230.1225181.18790.118942
240.1034321.00280.159264
25-0.074435-0.72170.236143
26-0.006475-0.06280.475037
27-0.111158-1.07770.141959
28-0.148413-1.43890.076748
290.0739370.71690.237622
300.0146890.14240.443527
310.0019090.01850.492637
320.0179080.17360.431268
330.0609320.59080.27805
34-0.044045-0.4270.335168
350.0168210.16310.435402
36-0.060656-0.58810.278943
37-0.036485-0.35370.362166
38-0.096287-0.93350.176467
390.0856380.83030.204238
40-0.00722-0.070.472171
41-0.106004-1.02770.153353
42-0.006107-0.05920.476456
430.049280.47780.316956
44-0.071337-0.69160.245434
45-0.020754-0.20120.42048
46-0.01341-0.130.448418
47-0.055095-0.53420.297245
48-0.053481-0.51850.302659
49-0.012668-0.12280.451257
500.0162640.15770.437521
51-0.067658-0.6560.256724
52-0.0222-0.21520.415023
530.0258450.25060.401344
54-0.048307-0.46840.320307
55-0.032887-0.31890.375274
560.0433110.41990.337751
57-0.015367-0.1490.44094
580.0161730.15680.43787
590.0617560.59870.275391
60-0.056972-0.55240.291004



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')