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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationMon, 03 May 2010 09:42:56 +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/2010/May/03/t1272879852p5tekmstlnfbby8.htm/, Retrieved Fri, 29 Mar 2024 08:29:43 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=75184, Retrieved Fri, 29 Mar 2024 08:29:43 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP2W21
Estimated Impact156
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Wisselkoers Autoc...] [2010-05-03 09:42:56] [ee335b92128d1ec04d3c346475765c6a] [Current]
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Dataseries X:
0.8833
0.87
0.8758
0.8858
0.917
0.9554
0.9922
0.9778
0.9808
0.9811
1.0014
1.0183
1.0622
1.0773
1.0807
1.0848
1.1582
1.1663
1.1372
1.1139
1.1222
1.1692
1.1702
1.2286
1.2613
1.2646
1.2262
1.1985
1.2007
1.2138
1.2266
1.2176
1.2218
1.249
1.2991
1.3408
1.3119
1.3014
1.3201
1.2938
1.2694
1.2165
1.2037
1.2292
1.2256
1.2015
1.1786
1.1856
1.2103
1.1938
1.202
1.2271
1.277
1.265
1.2684
1.2811
1.2727
1.2611
1.2881
1.3213
1.2999
1.3074
1.3242
1.3516
1.3511
1.3419
1.3716
1.3622
1.3896
1.4227
1.4684
1.457
1.4718
1.4748
1.5527
1.575
1.5557
1.5553
1.577
1.4975
1.4369
1.3322
1.2732
1.3449
1.3239
1.2785
1.305
1.319
1.365
1.4016
1.4088
1.4268
1.4562
1.4816
1.4914
1.4614
1.4272




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=75184&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=75184&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=75184&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 time1 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.9498519.3550
20.8837398.70380
30.8165098.04170
40.7502187.38880
50.685836.75460
60.6253436.15890
70.5741765.6550
80.5302115.2221e-06
90.4908824.83463e-06
100.4546434.47771e-05
110.4246294.18213.2e-05
120.399813.93777.7e-05
130.3816893.75920.000146
140.3666363.61090.000243
150.3526043.47270.000386
160.3330243.27990.000722
170.3170793.12290.001181
180.295752.91280.002223
190.2618892.57930.005701
200.2212762.17930.015865
210.1800441.77320.039665
220.1465611.44350.076057
230.1148691.13130.130354
240.0963220.94870.172574
250.0816960.80460.211505
260.0696270.68570.247255
270.0526610.51870.302591
280.035190.34660.364828
290.0208880.20570.418717
300.0131320.12930.448678
310.0082140.08090.467843
320.0010370.01020.495935
33-0.005366-0.05280.47898
34-0.002384-0.02350.490657
350.0100520.0990.46067
360.0251310.24750.402518
370.033540.33030.370931
380.0406230.40010.344985
390.0504110.49650.310337
400.0529550.52160.301586
410.0430840.42430.336132
420.0224540.22110.412721
43-0.000186-0.00180.49927
44-0.019701-0.1940.423278
45-0.038455-0.37870.352854
46-0.059451-0.58550.279778
47-0.081945-0.80710.210803
48-0.098498-0.97010.167207
49-0.110225-1.08560.140175
50-0.124328-1.22450.111866
51-0.137827-1.35740.088896
52-0.148618-1.46370.073253
53-0.152816-1.50510.067778
54-0.16386-1.61380.054906
55-0.179884-1.77170.039796
56-0.197367-1.94380.027406
57-0.218184-2.14890.017067
58-0.241506-2.37860.00967
59-0.264323-2.60330.005341
60-0.282795-2.78520.003217

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.949851 & 9.355 & 0 \tabularnewline
2 & 0.883739 & 8.7038 & 0 \tabularnewline
3 & 0.816509 & 8.0417 & 0 \tabularnewline
4 & 0.750218 & 7.3888 & 0 \tabularnewline
5 & 0.68583 & 6.7546 & 0 \tabularnewline
6 & 0.625343 & 6.1589 & 0 \tabularnewline
7 & 0.574176 & 5.655 & 0 \tabularnewline
8 & 0.530211 & 5.222 & 1e-06 \tabularnewline
9 & 0.490882 & 4.8346 & 3e-06 \tabularnewline
10 & 0.454643 & 4.4777 & 1e-05 \tabularnewline
11 & 0.424629 & 4.1821 & 3.2e-05 \tabularnewline
12 & 0.39981 & 3.9377 & 7.7e-05 \tabularnewline
13 & 0.381689 & 3.7592 & 0.000146 \tabularnewline
14 & 0.366636 & 3.6109 & 0.000243 \tabularnewline
15 & 0.352604 & 3.4727 & 0.000386 \tabularnewline
16 & 0.333024 & 3.2799 & 0.000722 \tabularnewline
17 & 0.317079 & 3.1229 & 0.001181 \tabularnewline
18 & 0.29575 & 2.9128 & 0.002223 \tabularnewline
19 & 0.261889 & 2.5793 & 0.005701 \tabularnewline
20 & 0.221276 & 2.1793 & 0.015865 \tabularnewline
21 & 0.180044 & 1.7732 & 0.039665 \tabularnewline
22 & 0.146561 & 1.4435 & 0.076057 \tabularnewline
23 & 0.114869 & 1.1313 & 0.130354 \tabularnewline
24 & 0.096322 & 0.9487 & 0.172574 \tabularnewline
25 & 0.081696 & 0.8046 & 0.211505 \tabularnewline
26 & 0.069627 & 0.6857 & 0.247255 \tabularnewline
27 & 0.052661 & 0.5187 & 0.302591 \tabularnewline
28 & 0.03519 & 0.3466 & 0.364828 \tabularnewline
29 & 0.020888 & 0.2057 & 0.418717 \tabularnewline
30 & 0.013132 & 0.1293 & 0.448678 \tabularnewline
31 & 0.008214 & 0.0809 & 0.467843 \tabularnewline
32 & 0.001037 & 0.0102 & 0.495935 \tabularnewline
33 & -0.005366 & -0.0528 & 0.47898 \tabularnewline
34 & -0.002384 & -0.0235 & 0.490657 \tabularnewline
35 & 0.010052 & 0.099 & 0.46067 \tabularnewline
36 & 0.025131 & 0.2475 & 0.402518 \tabularnewline
37 & 0.03354 & 0.3303 & 0.370931 \tabularnewline
38 & 0.040623 & 0.4001 & 0.344985 \tabularnewline
39 & 0.050411 & 0.4965 & 0.310337 \tabularnewline
40 & 0.052955 & 0.5216 & 0.301586 \tabularnewline
41 & 0.043084 & 0.4243 & 0.336132 \tabularnewline
42 & 0.022454 & 0.2211 & 0.412721 \tabularnewline
43 & -0.000186 & -0.0018 & 0.49927 \tabularnewline
44 & -0.019701 & -0.194 & 0.423278 \tabularnewline
45 & -0.038455 & -0.3787 & 0.352854 \tabularnewline
46 & -0.059451 & -0.5855 & 0.279778 \tabularnewline
47 & -0.081945 & -0.8071 & 0.210803 \tabularnewline
48 & -0.098498 & -0.9701 & 0.167207 \tabularnewline
49 & -0.110225 & -1.0856 & 0.140175 \tabularnewline
50 & -0.124328 & -1.2245 & 0.111866 \tabularnewline
51 & -0.137827 & -1.3574 & 0.088896 \tabularnewline
52 & -0.148618 & -1.4637 & 0.073253 \tabularnewline
53 & -0.152816 & -1.5051 & 0.067778 \tabularnewline
54 & -0.16386 & -1.6138 & 0.054906 \tabularnewline
55 & -0.179884 & -1.7717 & 0.039796 \tabularnewline
56 & -0.197367 & -1.9438 & 0.027406 \tabularnewline
57 & -0.218184 & -2.1489 & 0.017067 \tabularnewline
58 & -0.241506 & -2.3786 & 0.00967 \tabularnewline
59 & -0.264323 & -2.6033 & 0.005341 \tabularnewline
60 & -0.282795 & -2.7852 & 0.003217 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=75184&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]0.949851[/C][C]9.355[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.883739[/C][C]8.7038[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.816509[/C][C]8.0417[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.750218[/C][C]7.3888[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.68583[/C][C]6.7546[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.625343[/C][C]6.1589[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.574176[/C][C]5.655[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.530211[/C][C]5.222[/C][C]1e-06[/C][/ROW]
[ROW][C]9[/C][C]0.490882[/C][C]4.8346[/C][C]3e-06[/C][/ROW]
[ROW][C]10[/C][C]0.454643[/C][C]4.4777[/C][C]1e-05[/C][/ROW]
[ROW][C]11[/C][C]0.424629[/C][C]4.1821[/C][C]3.2e-05[/C][/ROW]
[ROW][C]12[/C][C]0.39981[/C][C]3.9377[/C][C]7.7e-05[/C][/ROW]
[ROW][C]13[/C][C]0.381689[/C][C]3.7592[/C][C]0.000146[/C][/ROW]
[ROW][C]14[/C][C]0.366636[/C][C]3.6109[/C][C]0.000243[/C][/ROW]
[ROW][C]15[/C][C]0.352604[/C][C]3.4727[/C][C]0.000386[/C][/ROW]
[ROW][C]16[/C][C]0.333024[/C][C]3.2799[/C][C]0.000722[/C][/ROW]
[ROW][C]17[/C][C]0.317079[/C][C]3.1229[/C][C]0.001181[/C][/ROW]
[ROW][C]18[/C][C]0.29575[/C][C]2.9128[/C][C]0.002223[/C][/ROW]
[ROW][C]19[/C][C]0.261889[/C][C]2.5793[/C][C]0.005701[/C][/ROW]
[ROW][C]20[/C][C]0.221276[/C][C]2.1793[/C][C]0.015865[/C][/ROW]
[ROW][C]21[/C][C]0.180044[/C][C]1.7732[/C][C]0.039665[/C][/ROW]
[ROW][C]22[/C][C]0.146561[/C][C]1.4435[/C][C]0.076057[/C][/ROW]
[ROW][C]23[/C][C]0.114869[/C][C]1.1313[/C][C]0.130354[/C][/ROW]
[ROW][C]24[/C][C]0.096322[/C][C]0.9487[/C][C]0.172574[/C][/ROW]
[ROW][C]25[/C][C]0.081696[/C][C]0.8046[/C][C]0.211505[/C][/ROW]
[ROW][C]26[/C][C]0.069627[/C][C]0.6857[/C][C]0.247255[/C][/ROW]
[ROW][C]27[/C][C]0.052661[/C][C]0.5187[/C][C]0.302591[/C][/ROW]
[ROW][C]28[/C][C]0.03519[/C][C]0.3466[/C][C]0.364828[/C][/ROW]
[ROW][C]29[/C][C]0.020888[/C][C]0.2057[/C][C]0.418717[/C][/ROW]
[ROW][C]30[/C][C]0.013132[/C][C]0.1293[/C][C]0.448678[/C][/ROW]
[ROW][C]31[/C][C]0.008214[/C][C]0.0809[/C][C]0.467843[/C][/ROW]
[ROW][C]32[/C][C]0.001037[/C][C]0.0102[/C][C]0.495935[/C][/ROW]
[ROW][C]33[/C][C]-0.005366[/C][C]-0.0528[/C][C]0.47898[/C][/ROW]
[ROW][C]34[/C][C]-0.002384[/C][C]-0.0235[/C][C]0.490657[/C][/ROW]
[ROW][C]35[/C][C]0.010052[/C][C]0.099[/C][C]0.46067[/C][/ROW]
[ROW][C]36[/C][C]0.025131[/C][C]0.2475[/C][C]0.402518[/C][/ROW]
[ROW][C]37[/C][C]0.03354[/C][C]0.3303[/C][C]0.370931[/C][/ROW]
[ROW][C]38[/C][C]0.040623[/C][C]0.4001[/C][C]0.344985[/C][/ROW]
[ROW][C]39[/C][C]0.050411[/C][C]0.4965[/C][C]0.310337[/C][/ROW]
[ROW][C]40[/C][C]0.052955[/C][C]0.5216[/C][C]0.301586[/C][/ROW]
[ROW][C]41[/C][C]0.043084[/C][C]0.4243[/C][C]0.336132[/C][/ROW]
[ROW][C]42[/C][C]0.022454[/C][C]0.2211[/C][C]0.412721[/C][/ROW]
[ROW][C]43[/C][C]-0.000186[/C][C]-0.0018[/C][C]0.49927[/C][/ROW]
[ROW][C]44[/C][C]-0.019701[/C][C]-0.194[/C][C]0.423278[/C][/ROW]
[ROW][C]45[/C][C]-0.038455[/C][C]-0.3787[/C][C]0.352854[/C][/ROW]
[ROW][C]46[/C][C]-0.059451[/C][C]-0.5855[/C][C]0.279778[/C][/ROW]
[ROW][C]47[/C][C]-0.081945[/C][C]-0.8071[/C][C]0.210803[/C][/ROW]
[ROW][C]48[/C][C]-0.098498[/C][C]-0.9701[/C][C]0.167207[/C][/ROW]
[ROW][C]49[/C][C]-0.110225[/C][C]-1.0856[/C][C]0.140175[/C][/ROW]
[ROW][C]50[/C][C]-0.124328[/C][C]-1.2245[/C][C]0.111866[/C][/ROW]
[ROW][C]51[/C][C]-0.137827[/C][C]-1.3574[/C][C]0.088896[/C][/ROW]
[ROW][C]52[/C][C]-0.148618[/C][C]-1.4637[/C][C]0.073253[/C][/ROW]
[ROW][C]53[/C][C]-0.152816[/C][C]-1.5051[/C][C]0.067778[/C][/ROW]
[ROW][C]54[/C][C]-0.16386[/C][C]-1.6138[/C][C]0.054906[/C][/ROW]
[ROW][C]55[/C][C]-0.179884[/C][C]-1.7717[/C][C]0.039796[/C][/ROW]
[ROW][C]56[/C][C]-0.197367[/C][C]-1.9438[/C][C]0.027406[/C][/ROW]
[ROW][C]57[/C][C]-0.218184[/C][C]-2.1489[/C][C]0.017067[/C][/ROW]
[ROW][C]58[/C][C]-0.241506[/C][C]-2.3786[/C][C]0.00967[/C][/ROW]
[ROW][C]59[/C][C]-0.264323[/C][C]-2.6033[/C][C]0.005341[/C][/ROW]
[ROW][C]60[/C][C]-0.282795[/C][C]-2.7852[/C][C]0.003217[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=75184&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=75184&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
10.9498519.3550
20.8837398.70380
30.8165098.04170
40.7502187.38880
50.685836.75460
60.6253436.15890
70.5741765.6550
80.5302115.2221e-06
90.4908824.83463e-06
100.4546434.47771e-05
110.4246294.18213.2e-05
120.399813.93777.7e-05
130.3816893.75920.000146
140.3666363.61090.000243
150.3526043.47270.000386
160.3330243.27990.000722
170.3170793.12290.001181
180.295752.91280.002223
190.2618892.57930.005701
200.2212762.17930.015865
210.1800441.77320.039665
220.1465611.44350.076057
230.1148691.13130.130354
240.0963220.94870.172574
250.0816960.80460.211505
260.0696270.68570.247255
270.0526610.51870.302591
280.035190.34660.364828
290.0208880.20570.418717
300.0131320.12930.448678
310.0082140.08090.467843
320.0010370.01020.495935
33-0.005366-0.05280.47898
34-0.002384-0.02350.490657
350.0100520.0990.46067
360.0251310.24750.402518
370.033540.33030.370931
380.0406230.40010.344985
390.0504110.49650.310337
400.0529550.52160.301586
410.0430840.42430.336132
420.0224540.22110.412721
43-0.000186-0.00180.49927
44-0.019701-0.1940.423278
45-0.038455-0.37870.352854
46-0.059451-0.58550.279778
47-0.081945-0.80710.210803
48-0.098498-0.97010.167207
49-0.110225-1.08560.140175
50-0.124328-1.22450.111866
51-0.137827-1.35740.088896
52-0.148618-1.46370.073253
53-0.152816-1.50510.067778
54-0.16386-1.61380.054906
55-0.179884-1.77170.039796
56-0.197367-1.94380.027406
57-0.218184-2.14890.017067
58-0.241506-2.37860.00967
59-0.264323-2.60330.005341
60-0.282795-2.78520.003217







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9498519.3550
2-0.18898-1.86120.03287
3-0.021663-0.21340.415747
4-0.027614-0.2720.393114
5-0.02083-0.20510.418943
6-0.002434-0.0240.490462
70.0500790.49320.311486
80.0153950.15160.439901
90.0010980.01080.495697
10-0.005465-0.05380.478593
110.0343690.33850.367862
120.0182210.17950.428976
130.04610.4540.32541
140.0061970.0610.475729
15-0.001886-0.01860.492607
16-0.066475-0.65470.257103
170.0539860.53170.298076
18-0.072707-0.71610.23783
19-0.116242-1.14480.127545
20-0.048965-0.48230.315357
21-0.011723-0.11550.45416
220.051430.50650.306817
23-0.024434-0.24060.40517
240.1114971.09810.137436
25-0.032778-0.32280.373762
26-0.012348-0.12160.451729
27-0.079895-0.78690.216636
28-0.006122-0.06030.476023
290.0124180.12230.451457
300.0502680.49510.310831
31-0.001188-0.01170.495345
32-0.048739-0.480.316147
330.0082770.08150.4676
340.1117711.10080.13685
350.0784930.77310.22068
360.0367030.36150.359263
37-0.065245-0.64260.261002
380.0290830.28640.38758
390.0096380.09490.462284
40-0.062312-0.61370.270424
41-0.112766-1.11060.13474
42-0.099786-0.98280.164081
43-0.022514-0.22170.412491
440.0283530.27920.390325
450.0290980.28660.387522
46-0.031827-0.31350.377301
47-0.02651-0.26110.397286
480.005410.05330.478809
49-0.003912-0.03850.484672
50-0.07174-0.70660.240766
51-0.011244-0.11070.456024
52-0.027352-0.26940.394103
530.0041620.0410.483692
54-0.135404-1.33360.092733
55-0.030146-0.29690.383589
56-0.018398-0.18120.428294
57-0.020022-0.19720.422043
58-0.010334-0.10180.459573
590.0417920.41160.340768
600.0253240.24940.401783

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.949851 & 9.355 & 0 \tabularnewline
2 & -0.18898 & -1.8612 & 0.03287 \tabularnewline
3 & -0.021663 & -0.2134 & 0.415747 \tabularnewline
4 & -0.027614 & -0.272 & 0.393114 \tabularnewline
5 & -0.02083 & -0.2051 & 0.418943 \tabularnewline
6 & -0.002434 & -0.024 & 0.490462 \tabularnewline
7 & 0.050079 & 0.4932 & 0.311486 \tabularnewline
8 & 0.015395 & 0.1516 & 0.439901 \tabularnewline
9 & 0.001098 & 0.0108 & 0.495697 \tabularnewline
10 & -0.005465 & -0.0538 & 0.478593 \tabularnewline
11 & 0.034369 & 0.3385 & 0.367862 \tabularnewline
12 & 0.018221 & 0.1795 & 0.428976 \tabularnewline
13 & 0.0461 & 0.454 & 0.32541 \tabularnewline
14 & 0.006197 & 0.061 & 0.475729 \tabularnewline
15 & -0.001886 & -0.0186 & 0.492607 \tabularnewline
16 & -0.066475 & -0.6547 & 0.257103 \tabularnewline
17 & 0.053986 & 0.5317 & 0.298076 \tabularnewline
18 & -0.072707 & -0.7161 & 0.23783 \tabularnewline
19 & -0.116242 & -1.1448 & 0.127545 \tabularnewline
20 & -0.048965 & -0.4823 & 0.315357 \tabularnewline
21 & -0.011723 & -0.1155 & 0.45416 \tabularnewline
22 & 0.05143 & 0.5065 & 0.306817 \tabularnewline
23 & -0.024434 & -0.2406 & 0.40517 \tabularnewline
24 & 0.111497 & 1.0981 & 0.137436 \tabularnewline
25 & -0.032778 & -0.3228 & 0.373762 \tabularnewline
26 & -0.012348 & -0.1216 & 0.451729 \tabularnewline
27 & -0.079895 & -0.7869 & 0.216636 \tabularnewline
28 & -0.006122 & -0.0603 & 0.476023 \tabularnewline
29 & 0.012418 & 0.1223 & 0.451457 \tabularnewline
30 & 0.050268 & 0.4951 & 0.310831 \tabularnewline
31 & -0.001188 & -0.0117 & 0.495345 \tabularnewline
32 & -0.048739 & -0.48 & 0.316147 \tabularnewline
33 & 0.008277 & 0.0815 & 0.4676 \tabularnewline
34 & 0.111771 & 1.1008 & 0.13685 \tabularnewline
35 & 0.078493 & 0.7731 & 0.22068 \tabularnewline
36 & 0.036703 & 0.3615 & 0.359263 \tabularnewline
37 & -0.065245 & -0.6426 & 0.261002 \tabularnewline
38 & 0.029083 & 0.2864 & 0.38758 \tabularnewline
39 & 0.009638 & 0.0949 & 0.462284 \tabularnewline
40 & -0.062312 & -0.6137 & 0.270424 \tabularnewline
41 & -0.112766 & -1.1106 & 0.13474 \tabularnewline
42 & -0.099786 & -0.9828 & 0.164081 \tabularnewline
43 & -0.022514 & -0.2217 & 0.412491 \tabularnewline
44 & 0.028353 & 0.2792 & 0.390325 \tabularnewline
45 & 0.029098 & 0.2866 & 0.387522 \tabularnewline
46 & -0.031827 & -0.3135 & 0.377301 \tabularnewline
47 & -0.02651 & -0.2611 & 0.397286 \tabularnewline
48 & 0.00541 & 0.0533 & 0.478809 \tabularnewline
49 & -0.003912 & -0.0385 & 0.484672 \tabularnewline
50 & -0.07174 & -0.7066 & 0.240766 \tabularnewline
51 & -0.011244 & -0.1107 & 0.456024 \tabularnewline
52 & -0.027352 & -0.2694 & 0.394103 \tabularnewline
53 & 0.004162 & 0.041 & 0.483692 \tabularnewline
54 & -0.135404 & -1.3336 & 0.092733 \tabularnewline
55 & -0.030146 & -0.2969 & 0.383589 \tabularnewline
56 & -0.018398 & -0.1812 & 0.428294 \tabularnewline
57 & -0.020022 & -0.1972 & 0.422043 \tabularnewline
58 & -0.010334 & -0.1018 & 0.459573 \tabularnewline
59 & 0.041792 & 0.4116 & 0.340768 \tabularnewline
60 & 0.025324 & 0.2494 & 0.401783 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=75184&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]0.949851[/C][C]9.355[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.18898[/C][C]-1.8612[/C][C]0.03287[/C][/ROW]
[ROW][C]3[/C][C]-0.021663[/C][C]-0.2134[/C][C]0.415747[/C][/ROW]
[ROW][C]4[/C][C]-0.027614[/C][C]-0.272[/C][C]0.393114[/C][/ROW]
[ROW][C]5[/C][C]-0.02083[/C][C]-0.2051[/C][C]0.418943[/C][/ROW]
[ROW][C]6[/C][C]-0.002434[/C][C]-0.024[/C][C]0.490462[/C][/ROW]
[ROW][C]7[/C][C]0.050079[/C][C]0.4932[/C][C]0.311486[/C][/ROW]
[ROW][C]8[/C][C]0.015395[/C][C]0.1516[/C][C]0.439901[/C][/ROW]
[ROW][C]9[/C][C]0.001098[/C][C]0.0108[/C][C]0.495697[/C][/ROW]
[ROW][C]10[/C][C]-0.005465[/C][C]-0.0538[/C][C]0.478593[/C][/ROW]
[ROW][C]11[/C][C]0.034369[/C][C]0.3385[/C][C]0.367862[/C][/ROW]
[ROW][C]12[/C][C]0.018221[/C][C]0.1795[/C][C]0.428976[/C][/ROW]
[ROW][C]13[/C][C]0.0461[/C][C]0.454[/C][C]0.32541[/C][/ROW]
[ROW][C]14[/C][C]0.006197[/C][C]0.061[/C][C]0.475729[/C][/ROW]
[ROW][C]15[/C][C]-0.001886[/C][C]-0.0186[/C][C]0.492607[/C][/ROW]
[ROW][C]16[/C][C]-0.066475[/C][C]-0.6547[/C][C]0.257103[/C][/ROW]
[ROW][C]17[/C][C]0.053986[/C][C]0.5317[/C][C]0.298076[/C][/ROW]
[ROW][C]18[/C][C]-0.072707[/C][C]-0.7161[/C][C]0.23783[/C][/ROW]
[ROW][C]19[/C][C]-0.116242[/C][C]-1.1448[/C][C]0.127545[/C][/ROW]
[ROW][C]20[/C][C]-0.048965[/C][C]-0.4823[/C][C]0.315357[/C][/ROW]
[ROW][C]21[/C][C]-0.011723[/C][C]-0.1155[/C][C]0.45416[/C][/ROW]
[ROW][C]22[/C][C]0.05143[/C][C]0.5065[/C][C]0.306817[/C][/ROW]
[ROW][C]23[/C][C]-0.024434[/C][C]-0.2406[/C][C]0.40517[/C][/ROW]
[ROW][C]24[/C][C]0.111497[/C][C]1.0981[/C][C]0.137436[/C][/ROW]
[ROW][C]25[/C][C]-0.032778[/C][C]-0.3228[/C][C]0.373762[/C][/ROW]
[ROW][C]26[/C][C]-0.012348[/C][C]-0.1216[/C][C]0.451729[/C][/ROW]
[ROW][C]27[/C][C]-0.079895[/C][C]-0.7869[/C][C]0.216636[/C][/ROW]
[ROW][C]28[/C][C]-0.006122[/C][C]-0.0603[/C][C]0.476023[/C][/ROW]
[ROW][C]29[/C][C]0.012418[/C][C]0.1223[/C][C]0.451457[/C][/ROW]
[ROW][C]30[/C][C]0.050268[/C][C]0.4951[/C][C]0.310831[/C][/ROW]
[ROW][C]31[/C][C]-0.001188[/C][C]-0.0117[/C][C]0.495345[/C][/ROW]
[ROW][C]32[/C][C]-0.048739[/C][C]-0.48[/C][C]0.316147[/C][/ROW]
[ROW][C]33[/C][C]0.008277[/C][C]0.0815[/C][C]0.4676[/C][/ROW]
[ROW][C]34[/C][C]0.111771[/C][C]1.1008[/C][C]0.13685[/C][/ROW]
[ROW][C]35[/C][C]0.078493[/C][C]0.7731[/C][C]0.22068[/C][/ROW]
[ROW][C]36[/C][C]0.036703[/C][C]0.3615[/C][C]0.359263[/C][/ROW]
[ROW][C]37[/C][C]-0.065245[/C][C]-0.6426[/C][C]0.261002[/C][/ROW]
[ROW][C]38[/C][C]0.029083[/C][C]0.2864[/C][C]0.38758[/C][/ROW]
[ROW][C]39[/C][C]0.009638[/C][C]0.0949[/C][C]0.462284[/C][/ROW]
[ROW][C]40[/C][C]-0.062312[/C][C]-0.6137[/C][C]0.270424[/C][/ROW]
[ROW][C]41[/C][C]-0.112766[/C][C]-1.1106[/C][C]0.13474[/C][/ROW]
[ROW][C]42[/C][C]-0.099786[/C][C]-0.9828[/C][C]0.164081[/C][/ROW]
[ROW][C]43[/C][C]-0.022514[/C][C]-0.2217[/C][C]0.412491[/C][/ROW]
[ROW][C]44[/C][C]0.028353[/C][C]0.2792[/C][C]0.390325[/C][/ROW]
[ROW][C]45[/C][C]0.029098[/C][C]0.2866[/C][C]0.387522[/C][/ROW]
[ROW][C]46[/C][C]-0.031827[/C][C]-0.3135[/C][C]0.377301[/C][/ROW]
[ROW][C]47[/C][C]-0.02651[/C][C]-0.2611[/C][C]0.397286[/C][/ROW]
[ROW][C]48[/C][C]0.00541[/C][C]0.0533[/C][C]0.478809[/C][/ROW]
[ROW][C]49[/C][C]-0.003912[/C][C]-0.0385[/C][C]0.484672[/C][/ROW]
[ROW][C]50[/C][C]-0.07174[/C][C]-0.7066[/C][C]0.240766[/C][/ROW]
[ROW][C]51[/C][C]-0.011244[/C][C]-0.1107[/C][C]0.456024[/C][/ROW]
[ROW][C]52[/C][C]-0.027352[/C][C]-0.2694[/C][C]0.394103[/C][/ROW]
[ROW][C]53[/C][C]0.004162[/C][C]0.041[/C][C]0.483692[/C][/ROW]
[ROW][C]54[/C][C]-0.135404[/C][C]-1.3336[/C][C]0.092733[/C][/ROW]
[ROW][C]55[/C][C]-0.030146[/C][C]-0.2969[/C][C]0.383589[/C][/ROW]
[ROW][C]56[/C][C]-0.018398[/C][C]-0.1812[/C][C]0.428294[/C][/ROW]
[ROW][C]57[/C][C]-0.020022[/C][C]-0.1972[/C][C]0.422043[/C][/ROW]
[ROW][C]58[/C][C]-0.010334[/C][C]-0.1018[/C][C]0.459573[/C][/ROW]
[ROW][C]59[/C][C]0.041792[/C][C]0.4116[/C][C]0.340768[/C][/ROW]
[ROW][C]60[/C][C]0.025324[/C][C]0.2494[/C][C]0.401783[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=75184&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=75184&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
10.9498519.3550
2-0.18898-1.86120.03287
3-0.021663-0.21340.415747
4-0.027614-0.2720.393114
5-0.02083-0.20510.418943
6-0.002434-0.0240.490462
70.0500790.49320.311486
80.0153950.15160.439901
90.0010980.01080.495697
10-0.005465-0.05380.478593
110.0343690.33850.367862
120.0182210.17950.428976
130.04610.4540.32541
140.0061970.0610.475729
15-0.001886-0.01860.492607
16-0.066475-0.65470.257103
170.0539860.53170.298076
18-0.072707-0.71610.23783
19-0.116242-1.14480.127545
20-0.048965-0.48230.315357
21-0.011723-0.11550.45416
220.051430.50650.306817
23-0.024434-0.24060.40517
240.1114971.09810.137436
25-0.032778-0.32280.373762
26-0.012348-0.12160.451729
27-0.079895-0.78690.216636
28-0.006122-0.06030.476023
290.0124180.12230.451457
300.0502680.49510.310831
31-0.001188-0.01170.495345
32-0.048739-0.480.316147
330.0082770.08150.4676
340.1117711.10080.13685
350.0784930.77310.22068
360.0367030.36150.359263
37-0.065245-0.64260.261002
380.0290830.28640.38758
390.0096380.09490.462284
40-0.062312-0.61370.270424
41-0.112766-1.11060.13474
42-0.099786-0.98280.164081
43-0.022514-0.22170.412491
440.0283530.27920.390325
450.0290980.28660.387522
46-0.031827-0.31350.377301
47-0.02651-0.26110.397286
480.005410.05330.478809
49-0.003912-0.03850.484672
50-0.07174-0.70660.240766
51-0.011244-0.11070.456024
52-0.027352-0.26940.394103
530.0041620.0410.483692
54-0.135404-1.33360.092733
55-0.030146-0.29690.383589
56-0.018398-0.18120.428294
57-0.020022-0.19720.422043
58-0.010334-0.10180.459573
590.0417920.41160.340768
600.0253240.24940.401783



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
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 (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='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
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')