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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationWed, 17 Dec 2008 02:01:08 -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/17/t12295045857p55jpnlb6liqcw.htm/, Retrieved Fri, 17 May 2024 07:01:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=34281, Retrieved Fri, 17 May 2024 07:01:09 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact200
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Spectral Analysis] [Spectral zonder diff] [2008-12-10 13:17:25] [74be16979710d4c4e7c6647856088456]
- RMP   [(Partial) Autocorrelation Function] [] [2008-12-17 08:31:56] [74be16979710d4c4e7c6647856088456]
-   P       [(Partial) Autocorrelation Function] [] [2008-12-17 09:01:08] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
6.4
6.8
7.5
7.5
7.6
7.6
7.4
7.3
7.1
6.9
6.8
7.5
7.6
7.8
8
8.1
8.2
8.3
8.2
8
7.9
7.6
7.6
8.2
8.3
8.4
8.4
8.4
8.6
8.9
8.8
8.3
7.5
7.2
7.5
8.8
9.3
9.3
8.7
8.2
8.3
8.5
8.6
8.6
8.2
8.1
8
8.6
8.7
8.8
8.5
8.4
8.5
8.7
8.7
8.6
8.5
8.3
8.1
8.2
8.1
8.1
7.9
7.9
7.9
8
8
7.9
8
7.7
7.2
7.5
7.3
7
7
7
7.2
7.3
7.1
6.8
6.6
6.2
6.2
6.8
6.9




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time12 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 12 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34281&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]12 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34281&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34281&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 time12 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.014606-0.12310.4512
2-0.095955-0.80850.210744
3-0.340825-2.87180.002688
4-0.391612-3.29980.000758
50.0650930.54850.292541
60.1500741.26450.105085
70.1773391.49430.069766
80.113780.95870.170474
90.0034530.02910.488434
10-0.114653-0.96610.168641
110.0121990.10280.459208
12-0.182494-1.53770.064281
130.021570.18170.428148
140.0546690.46060.323229
150.1040940.87710.191692
160.0731630.61650.269775
17-0.175718-1.48060.071566
180.0727860.61330.270818
19-0.154295-1.30010.098884
200.1431371.20610.115892
210.0682470.57510.283536
22-0.013103-0.11040.4562
230.0140430.11830.453072
24-0.189293-1.5950.057575
250.015010.12650.449856
260.0725980.61170.271338
270.1122750.9460.173666
280.0282610.23810.406231
29-0.076592-0.64540.260382
30-0.22795-1.92070.02939
310.0377190.31780.375774
320.1022460.86150.195922
330.1317191.10990.135396
340.0973790.82050.20733
35-0.128741-1.08480.140842
36-0.054251-0.45710.324487
37-0.144003-1.21340.1145
380.0790510.66610.253755
390.0028390.02390.49049
400.0417970.35220.362871
410.1318921.11130.135085
42-0.055262-0.46560.321446
430.0222760.18770.425822
44-0.162309-1.36760.087869
45-0.028878-0.24330.404224
460.0270050.22750.410326
470.0864170.72820.234454
480.0296770.25010.401631
490.0346620.29210.385543
50-0.082484-0.6950.244656
51-0.009074-0.07650.469634
52-0.009947-0.08380.46672
530.0169580.14290.44339
540.0336360.28340.388841
55-0.048194-0.40610.34295
560.0572430.48230.315525
57-0.05186-0.4370.331726
58-0.013647-0.1150.454388
590.0608670.51290.304816
60-0.036664-0.30890.379138

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.014606 & -0.1231 & 0.4512 \tabularnewline
2 & -0.095955 & -0.8085 & 0.210744 \tabularnewline
3 & -0.340825 & -2.8718 & 0.002688 \tabularnewline
4 & -0.391612 & -3.2998 & 0.000758 \tabularnewline
5 & 0.065093 & 0.5485 & 0.292541 \tabularnewline
6 & 0.150074 & 1.2645 & 0.105085 \tabularnewline
7 & 0.177339 & 1.4943 & 0.069766 \tabularnewline
8 & 0.11378 & 0.9587 & 0.170474 \tabularnewline
9 & 0.003453 & 0.0291 & 0.488434 \tabularnewline
10 & -0.114653 & -0.9661 & 0.168641 \tabularnewline
11 & 0.012199 & 0.1028 & 0.459208 \tabularnewline
12 & -0.182494 & -1.5377 & 0.064281 \tabularnewline
13 & 0.02157 & 0.1817 & 0.428148 \tabularnewline
14 & 0.054669 & 0.4606 & 0.323229 \tabularnewline
15 & 0.104094 & 0.8771 & 0.191692 \tabularnewline
16 & 0.073163 & 0.6165 & 0.269775 \tabularnewline
17 & -0.175718 & -1.4806 & 0.071566 \tabularnewline
18 & 0.072786 & 0.6133 & 0.270818 \tabularnewline
19 & -0.154295 & -1.3001 & 0.098884 \tabularnewline
20 & 0.143137 & 1.2061 & 0.115892 \tabularnewline
21 & 0.068247 & 0.5751 & 0.283536 \tabularnewline
22 & -0.013103 & -0.1104 & 0.4562 \tabularnewline
23 & 0.014043 & 0.1183 & 0.453072 \tabularnewline
24 & -0.189293 & -1.595 & 0.057575 \tabularnewline
25 & 0.01501 & 0.1265 & 0.449856 \tabularnewline
26 & 0.072598 & 0.6117 & 0.271338 \tabularnewline
27 & 0.112275 & 0.946 & 0.173666 \tabularnewline
28 & 0.028261 & 0.2381 & 0.406231 \tabularnewline
29 & -0.076592 & -0.6454 & 0.260382 \tabularnewline
30 & -0.22795 & -1.9207 & 0.02939 \tabularnewline
31 & 0.037719 & 0.3178 & 0.375774 \tabularnewline
32 & 0.102246 & 0.8615 & 0.195922 \tabularnewline
33 & 0.131719 & 1.1099 & 0.135396 \tabularnewline
34 & 0.097379 & 0.8205 & 0.20733 \tabularnewline
35 & -0.128741 & -1.0848 & 0.140842 \tabularnewline
36 & -0.054251 & -0.4571 & 0.324487 \tabularnewline
37 & -0.144003 & -1.2134 & 0.1145 \tabularnewline
38 & 0.079051 & 0.6661 & 0.253755 \tabularnewline
39 & 0.002839 & 0.0239 & 0.49049 \tabularnewline
40 & 0.041797 & 0.3522 & 0.362871 \tabularnewline
41 & 0.131892 & 1.1113 & 0.135085 \tabularnewline
42 & -0.055262 & -0.4656 & 0.321446 \tabularnewline
43 & 0.022276 & 0.1877 & 0.425822 \tabularnewline
44 & -0.162309 & -1.3676 & 0.087869 \tabularnewline
45 & -0.028878 & -0.2433 & 0.404224 \tabularnewline
46 & 0.027005 & 0.2275 & 0.410326 \tabularnewline
47 & 0.086417 & 0.7282 & 0.234454 \tabularnewline
48 & 0.029677 & 0.2501 & 0.401631 \tabularnewline
49 & 0.034662 & 0.2921 & 0.385543 \tabularnewline
50 & -0.082484 & -0.695 & 0.244656 \tabularnewline
51 & -0.009074 & -0.0765 & 0.469634 \tabularnewline
52 & -0.009947 & -0.0838 & 0.46672 \tabularnewline
53 & 0.016958 & 0.1429 & 0.44339 \tabularnewline
54 & 0.033636 & 0.2834 & 0.388841 \tabularnewline
55 & -0.048194 & -0.4061 & 0.34295 \tabularnewline
56 & 0.057243 & 0.4823 & 0.315525 \tabularnewline
57 & -0.05186 & -0.437 & 0.331726 \tabularnewline
58 & -0.013647 & -0.115 & 0.454388 \tabularnewline
59 & 0.060867 & 0.5129 & 0.304816 \tabularnewline
60 & -0.036664 & -0.3089 & 0.379138 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34281&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]-0.014606[/C][C]-0.1231[/C][C]0.4512[/C][/ROW]
[ROW][C]2[/C][C]-0.095955[/C][C]-0.8085[/C][C]0.210744[/C][/ROW]
[ROW][C]3[/C][C]-0.340825[/C][C]-2.8718[/C][C]0.002688[/C][/ROW]
[ROW][C]4[/C][C]-0.391612[/C][C]-3.2998[/C][C]0.000758[/C][/ROW]
[ROW][C]5[/C][C]0.065093[/C][C]0.5485[/C][C]0.292541[/C][/ROW]
[ROW][C]6[/C][C]0.150074[/C][C]1.2645[/C][C]0.105085[/C][/ROW]
[ROW][C]7[/C][C]0.177339[/C][C]1.4943[/C][C]0.069766[/C][/ROW]
[ROW][C]8[/C][C]0.11378[/C][C]0.9587[/C][C]0.170474[/C][/ROW]
[ROW][C]9[/C][C]0.003453[/C][C]0.0291[/C][C]0.488434[/C][/ROW]
[ROW][C]10[/C][C]-0.114653[/C][C]-0.9661[/C][C]0.168641[/C][/ROW]
[ROW][C]11[/C][C]0.012199[/C][C]0.1028[/C][C]0.459208[/C][/ROW]
[ROW][C]12[/C][C]-0.182494[/C][C]-1.5377[/C][C]0.064281[/C][/ROW]
[ROW][C]13[/C][C]0.02157[/C][C]0.1817[/C][C]0.428148[/C][/ROW]
[ROW][C]14[/C][C]0.054669[/C][C]0.4606[/C][C]0.323229[/C][/ROW]
[ROW][C]15[/C][C]0.104094[/C][C]0.8771[/C][C]0.191692[/C][/ROW]
[ROW][C]16[/C][C]0.073163[/C][C]0.6165[/C][C]0.269775[/C][/ROW]
[ROW][C]17[/C][C]-0.175718[/C][C]-1.4806[/C][C]0.071566[/C][/ROW]
[ROW][C]18[/C][C]0.072786[/C][C]0.6133[/C][C]0.270818[/C][/ROW]
[ROW][C]19[/C][C]-0.154295[/C][C]-1.3001[/C][C]0.098884[/C][/ROW]
[ROW][C]20[/C][C]0.143137[/C][C]1.2061[/C][C]0.115892[/C][/ROW]
[ROW][C]21[/C][C]0.068247[/C][C]0.5751[/C][C]0.283536[/C][/ROW]
[ROW][C]22[/C][C]-0.013103[/C][C]-0.1104[/C][C]0.4562[/C][/ROW]
[ROW][C]23[/C][C]0.014043[/C][C]0.1183[/C][C]0.453072[/C][/ROW]
[ROW][C]24[/C][C]-0.189293[/C][C]-1.595[/C][C]0.057575[/C][/ROW]
[ROW][C]25[/C][C]0.01501[/C][C]0.1265[/C][C]0.449856[/C][/ROW]
[ROW][C]26[/C][C]0.072598[/C][C]0.6117[/C][C]0.271338[/C][/ROW]
[ROW][C]27[/C][C]0.112275[/C][C]0.946[/C][C]0.173666[/C][/ROW]
[ROW][C]28[/C][C]0.028261[/C][C]0.2381[/C][C]0.406231[/C][/ROW]
[ROW][C]29[/C][C]-0.076592[/C][C]-0.6454[/C][C]0.260382[/C][/ROW]
[ROW][C]30[/C][C]-0.22795[/C][C]-1.9207[/C][C]0.02939[/C][/ROW]
[ROW][C]31[/C][C]0.037719[/C][C]0.3178[/C][C]0.375774[/C][/ROW]
[ROW][C]32[/C][C]0.102246[/C][C]0.8615[/C][C]0.195922[/C][/ROW]
[ROW][C]33[/C][C]0.131719[/C][C]1.1099[/C][C]0.135396[/C][/ROW]
[ROW][C]34[/C][C]0.097379[/C][C]0.8205[/C][C]0.20733[/C][/ROW]
[ROW][C]35[/C][C]-0.128741[/C][C]-1.0848[/C][C]0.140842[/C][/ROW]
[ROW][C]36[/C][C]-0.054251[/C][C]-0.4571[/C][C]0.324487[/C][/ROW]
[ROW][C]37[/C][C]-0.144003[/C][C]-1.2134[/C][C]0.1145[/C][/ROW]
[ROW][C]38[/C][C]0.079051[/C][C]0.6661[/C][C]0.253755[/C][/ROW]
[ROW][C]39[/C][C]0.002839[/C][C]0.0239[/C][C]0.49049[/C][/ROW]
[ROW][C]40[/C][C]0.041797[/C][C]0.3522[/C][C]0.362871[/C][/ROW]
[ROW][C]41[/C][C]0.131892[/C][C]1.1113[/C][C]0.135085[/C][/ROW]
[ROW][C]42[/C][C]-0.055262[/C][C]-0.4656[/C][C]0.321446[/C][/ROW]
[ROW][C]43[/C][C]0.022276[/C][C]0.1877[/C][C]0.425822[/C][/ROW]
[ROW][C]44[/C][C]-0.162309[/C][C]-1.3676[/C][C]0.087869[/C][/ROW]
[ROW][C]45[/C][C]-0.028878[/C][C]-0.2433[/C][C]0.404224[/C][/ROW]
[ROW][C]46[/C][C]0.027005[/C][C]0.2275[/C][C]0.410326[/C][/ROW]
[ROW][C]47[/C][C]0.086417[/C][C]0.7282[/C][C]0.234454[/C][/ROW]
[ROW][C]48[/C][C]0.029677[/C][C]0.2501[/C][C]0.401631[/C][/ROW]
[ROW][C]49[/C][C]0.034662[/C][C]0.2921[/C][C]0.385543[/C][/ROW]
[ROW][C]50[/C][C]-0.082484[/C][C]-0.695[/C][C]0.244656[/C][/ROW]
[ROW][C]51[/C][C]-0.009074[/C][C]-0.0765[/C][C]0.469634[/C][/ROW]
[ROW][C]52[/C][C]-0.009947[/C][C]-0.0838[/C][C]0.46672[/C][/ROW]
[ROW][C]53[/C][C]0.016958[/C][C]0.1429[/C][C]0.44339[/C][/ROW]
[ROW][C]54[/C][C]0.033636[/C][C]0.2834[/C][C]0.388841[/C][/ROW]
[ROW][C]55[/C][C]-0.048194[/C][C]-0.4061[/C][C]0.34295[/C][/ROW]
[ROW][C]56[/C][C]0.057243[/C][C]0.4823[/C][C]0.315525[/C][/ROW]
[ROW][C]57[/C][C]-0.05186[/C][C]-0.437[/C][C]0.331726[/C][/ROW]
[ROW][C]58[/C][C]-0.013647[/C][C]-0.115[/C][C]0.454388[/C][/ROW]
[ROW][C]59[/C][C]0.060867[/C][C]0.5129[/C][C]0.304816[/C][/ROW]
[ROW][C]60[/C][C]-0.036664[/C][C]-0.3089[/C][C]0.379138[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34281&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34281&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
1-0.014606-0.12310.4512
2-0.095955-0.80850.210744
3-0.340825-2.87180.002688
4-0.391612-3.29980.000758
50.0650930.54850.292541
60.1500741.26450.105085
70.1773391.49430.069766
80.113780.95870.170474
90.0034530.02910.488434
10-0.114653-0.96610.168641
110.0121990.10280.459208
12-0.182494-1.53770.064281
130.021570.18170.428148
140.0546690.46060.323229
150.1040940.87710.191692
160.0731630.61650.269775
17-0.175718-1.48060.071566
180.0727860.61330.270818
19-0.154295-1.30010.098884
200.1431371.20610.115892
210.0682470.57510.283536
22-0.013103-0.11040.4562
230.0140430.11830.453072
24-0.189293-1.5950.057575
250.015010.12650.449856
260.0725980.61170.271338
270.1122750.9460.173666
280.0282610.23810.406231
29-0.076592-0.64540.260382
30-0.22795-1.92070.02939
310.0377190.31780.375774
320.1022460.86150.195922
330.1317191.10990.135396
340.0973790.82050.20733
35-0.128741-1.08480.140842
36-0.054251-0.45710.324487
37-0.144003-1.21340.1145
380.0790510.66610.253755
390.0028390.02390.49049
400.0417970.35220.362871
410.1318921.11130.135085
42-0.055262-0.46560.321446
430.0222760.18770.425822
44-0.162309-1.36760.087869
45-0.028878-0.24330.404224
460.0270050.22750.410326
470.0864170.72820.234454
480.0296770.25010.401631
490.0346620.29210.385543
50-0.082484-0.6950.244656
51-0.009074-0.07650.469634
52-0.009947-0.08380.46672
530.0169580.14290.44339
540.0336360.28340.388841
55-0.048194-0.40610.34295
560.0572430.48230.315525
57-0.05186-0.4370.331726
58-0.013647-0.1150.454388
590.0608670.51290.304816
60-0.036664-0.30890.379138







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.014606-0.12310.4512
2-0.096189-0.81050.210181
3-0.347051-2.92430.002315
4-0.485838-4.09375.5e-05
5-0.172035-1.44960.075787
6-0.158776-1.33790.092604
7-0.234276-1.9740.026134
8-0.194457-1.63850.052869
9-0.043487-0.36640.357566
10-0.10517-0.88620.189256
110.0773140.65150.258426
12-0.134374-1.13230.130668
13-0.021564-0.18170.428168
140.0186280.1570.437859
150.1073370.90440.184411
160.012470.10510.458306
17-0.202855-1.70930.045883
180.1314511.10760.13588
19-0.131311-1.10640.136134
200.0313560.26420.39619
210.0153960.12970.448575
220.0324340.27330.39271
230.0893160.75260.227092
24-0.112939-0.95160.172254
250.0411680.34690.36485
260.0739010.62270.267739
270.13691.15350.126279
280.0799180.67340.25144
29-0.094132-0.79320.215161
30-0.161345-1.35950.089142
31-0.072521-0.61110.271551
320.0119530.10070.460029
33-0.078755-0.66360.254546
34-0.090912-0.7660.223097
350.0332420.28010.390107
36-0.01936-0.16310.435439
37-0.048217-0.40630.342877
380.0704290.59340.277384
390.007080.05970.476297
40-0.017688-0.1490.440973
410.0712850.60070.274991
42-0.035533-0.29940.382753
43-0.034756-0.29290.385242
44-0.096261-0.81110.210007
450.0362420.30540.380486
46-0.064825-0.54620.293311
47-0.077835-0.65580.257021
48-0.079961-0.67380.251326
49-0.056048-0.47230.319092
50-0.025355-0.21360.415717
510.0638030.53760.296263
52-0.034387-0.28980.386425
530.0636550.53640.29669
54-0.06572-0.55380.29074
550.0215190.18130.428316
560.0038910.03280.48697
57-0.006958-0.05860.476706
58-0.035482-0.2990.382915
59-0.014533-0.12250.451442
60-0.048464-0.40840.342118

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.014606 & -0.1231 & 0.4512 \tabularnewline
2 & -0.096189 & -0.8105 & 0.210181 \tabularnewline
3 & -0.347051 & -2.9243 & 0.002315 \tabularnewline
4 & -0.485838 & -4.0937 & 5.5e-05 \tabularnewline
5 & -0.172035 & -1.4496 & 0.075787 \tabularnewline
6 & -0.158776 & -1.3379 & 0.092604 \tabularnewline
7 & -0.234276 & -1.974 & 0.026134 \tabularnewline
8 & -0.194457 & -1.6385 & 0.052869 \tabularnewline
9 & -0.043487 & -0.3664 & 0.357566 \tabularnewline
10 & -0.10517 & -0.8862 & 0.189256 \tabularnewline
11 & 0.077314 & 0.6515 & 0.258426 \tabularnewline
12 & -0.134374 & -1.1323 & 0.130668 \tabularnewline
13 & -0.021564 & -0.1817 & 0.428168 \tabularnewline
14 & 0.018628 & 0.157 & 0.437859 \tabularnewline
15 & 0.107337 & 0.9044 & 0.184411 \tabularnewline
16 & 0.01247 & 0.1051 & 0.458306 \tabularnewline
17 & -0.202855 & -1.7093 & 0.045883 \tabularnewline
18 & 0.131451 & 1.1076 & 0.13588 \tabularnewline
19 & -0.131311 & -1.1064 & 0.136134 \tabularnewline
20 & 0.031356 & 0.2642 & 0.39619 \tabularnewline
21 & 0.015396 & 0.1297 & 0.448575 \tabularnewline
22 & 0.032434 & 0.2733 & 0.39271 \tabularnewline
23 & 0.089316 & 0.7526 & 0.227092 \tabularnewline
24 & -0.112939 & -0.9516 & 0.172254 \tabularnewline
25 & 0.041168 & 0.3469 & 0.36485 \tabularnewline
26 & 0.073901 & 0.6227 & 0.267739 \tabularnewline
27 & 0.1369 & 1.1535 & 0.126279 \tabularnewline
28 & 0.079918 & 0.6734 & 0.25144 \tabularnewline
29 & -0.094132 & -0.7932 & 0.215161 \tabularnewline
30 & -0.161345 & -1.3595 & 0.089142 \tabularnewline
31 & -0.072521 & -0.6111 & 0.271551 \tabularnewline
32 & 0.011953 & 0.1007 & 0.460029 \tabularnewline
33 & -0.078755 & -0.6636 & 0.254546 \tabularnewline
34 & -0.090912 & -0.766 & 0.223097 \tabularnewline
35 & 0.033242 & 0.2801 & 0.390107 \tabularnewline
36 & -0.01936 & -0.1631 & 0.435439 \tabularnewline
37 & -0.048217 & -0.4063 & 0.342877 \tabularnewline
38 & 0.070429 & 0.5934 & 0.277384 \tabularnewline
39 & 0.00708 & 0.0597 & 0.476297 \tabularnewline
40 & -0.017688 & -0.149 & 0.440973 \tabularnewline
41 & 0.071285 & 0.6007 & 0.274991 \tabularnewline
42 & -0.035533 & -0.2994 & 0.382753 \tabularnewline
43 & -0.034756 & -0.2929 & 0.385242 \tabularnewline
44 & -0.096261 & -0.8111 & 0.210007 \tabularnewline
45 & 0.036242 & 0.3054 & 0.380486 \tabularnewline
46 & -0.064825 & -0.5462 & 0.293311 \tabularnewline
47 & -0.077835 & -0.6558 & 0.257021 \tabularnewline
48 & -0.079961 & -0.6738 & 0.251326 \tabularnewline
49 & -0.056048 & -0.4723 & 0.319092 \tabularnewline
50 & -0.025355 & -0.2136 & 0.415717 \tabularnewline
51 & 0.063803 & 0.5376 & 0.296263 \tabularnewline
52 & -0.034387 & -0.2898 & 0.386425 \tabularnewline
53 & 0.063655 & 0.5364 & 0.29669 \tabularnewline
54 & -0.06572 & -0.5538 & 0.29074 \tabularnewline
55 & 0.021519 & 0.1813 & 0.428316 \tabularnewline
56 & 0.003891 & 0.0328 & 0.48697 \tabularnewline
57 & -0.006958 & -0.0586 & 0.476706 \tabularnewline
58 & -0.035482 & -0.299 & 0.382915 \tabularnewline
59 & -0.014533 & -0.1225 & 0.451442 \tabularnewline
60 & -0.048464 & -0.4084 & 0.342118 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34281&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]-0.014606[/C][C]-0.1231[/C][C]0.4512[/C][/ROW]
[ROW][C]2[/C][C]-0.096189[/C][C]-0.8105[/C][C]0.210181[/C][/ROW]
[ROW][C]3[/C][C]-0.347051[/C][C]-2.9243[/C][C]0.002315[/C][/ROW]
[ROW][C]4[/C][C]-0.485838[/C][C]-4.0937[/C][C]5.5e-05[/C][/ROW]
[ROW][C]5[/C][C]-0.172035[/C][C]-1.4496[/C][C]0.075787[/C][/ROW]
[ROW][C]6[/C][C]-0.158776[/C][C]-1.3379[/C][C]0.092604[/C][/ROW]
[ROW][C]7[/C][C]-0.234276[/C][C]-1.974[/C][C]0.026134[/C][/ROW]
[ROW][C]8[/C][C]-0.194457[/C][C]-1.6385[/C][C]0.052869[/C][/ROW]
[ROW][C]9[/C][C]-0.043487[/C][C]-0.3664[/C][C]0.357566[/C][/ROW]
[ROW][C]10[/C][C]-0.10517[/C][C]-0.8862[/C][C]0.189256[/C][/ROW]
[ROW][C]11[/C][C]0.077314[/C][C]0.6515[/C][C]0.258426[/C][/ROW]
[ROW][C]12[/C][C]-0.134374[/C][C]-1.1323[/C][C]0.130668[/C][/ROW]
[ROW][C]13[/C][C]-0.021564[/C][C]-0.1817[/C][C]0.428168[/C][/ROW]
[ROW][C]14[/C][C]0.018628[/C][C]0.157[/C][C]0.437859[/C][/ROW]
[ROW][C]15[/C][C]0.107337[/C][C]0.9044[/C][C]0.184411[/C][/ROW]
[ROW][C]16[/C][C]0.01247[/C][C]0.1051[/C][C]0.458306[/C][/ROW]
[ROW][C]17[/C][C]-0.202855[/C][C]-1.7093[/C][C]0.045883[/C][/ROW]
[ROW][C]18[/C][C]0.131451[/C][C]1.1076[/C][C]0.13588[/C][/ROW]
[ROW][C]19[/C][C]-0.131311[/C][C]-1.1064[/C][C]0.136134[/C][/ROW]
[ROW][C]20[/C][C]0.031356[/C][C]0.2642[/C][C]0.39619[/C][/ROW]
[ROW][C]21[/C][C]0.015396[/C][C]0.1297[/C][C]0.448575[/C][/ROW]
[ROW][C]22[/C][C]0.032434[/C][C]0.2733[/C][C]0.39271[/C][/ROW]
[ROW][C]23[/C][C]0.089316[/C][C]0.7526[/C][C]0.227092[/C][/ROW]
[ROW][C]24[/C][C]-0.112939[/C][C]-0.9516[/C][C]0.172254[/C][/ROW]
[ROW][C]25[/C][C]0.041168[/C][C]0.3469[/C][C]0.36485[/C][/ROW]
[ROW][C]26[/C][C]0.073901[/C][C]0.6227[/C][C]0.267739[/C][/ROW]
[ROW][C]27[/C][C]0.1369[/C][C]1.1535[/C][C]0.126279[/C][/ROW]
[ROW][C]28[/C][C]0.079918[/C][C]0.6734[/C][C]0.25144[/C][/ROW]
[ROW][C]29[/C][C]-0.094132[/C][C]-0.7932[/C][C]0.215161[/C][/ROW]
[ROW][C]30[/C][C]-0.161345[/C][C]-1.3595[/C][C]0.089142[/C][/ROW]
[ROW][C]31[/C][C]-0.072521[/C][C]-0.6111[/C][C]0.271551[/C][/ROW]
[ROW][C]32[/C][C]0.011953[/C][C]0.1007[/C][C]0.460029[/C][/ROW]
[ROW][C]33[/C][C]-0.078755[/C][C]-0.6636[/C][C]0.254546[/C][/ROW]
[ROW][C]34[/C][C]-0.090912[/C][C]-0.766[/C][C]0.223097[/C][/ROW]
[ROW][C]35[/C][C]0.033242[/C][C]0.2801[/C][C]0.390107[/C][/ROW]
[ROW][C]36[/C][C]-0.01936[/C][C]-0.1631[/C][C]0.435439[/C][/ROW]
[ROW][C]37[/C][C]-0.048217[/C][C]-0.4063[/C][C]0.342877[/C][/ROW]
[ROW][C]38[/C][C]0.070429[/C][C]0.5934[/C][C]0.277384[/C][/ROW]
[ROW][C]39[/C][C]0.00708[/C][C]0.0597[/C][C]0.476297[/C][/ROW]
[ROW][C]40[/C][C]-0.017688[/C][C]-0.149[/C][C]0.440973[/C][/ROW]
[ROW][C]41[/C][C]0.071285[/C][C]0.6007[/C][C]0.274991[/C][/ROW]
[ROW][C]42[/C][C]-0.035533[/C][C]-0.2994[/C][C]0.382753[/C][/ROW]
[ROW][C]43[/C][C]-0.034756[/C][C]-0.2929[/C][C]0.385242[/C][/ROW]
[ROW][C]44[/C][C]-0.096261[/C][C]-0.8111[/C][C]0.210007[/C][/ROW]
[ROW][C]45[/C][C]0.036242[/C][C]0.3054[/C][C]0.380486[/C][/ROW]
[ROW][C]46[/C][C]-0.064825[/C][C]-0.5462[/C][C]0.293311[/C][/ROW]
[ROW][C]47[/C][C]-0.077835[/C][C]-0.6558[/C][C]0.257021[/C][/ROW]
[ROW][C]48[/C][C]-0.079961[/C][C]-0.6738[/C][C]0.251326[/C][/ROW]
[ROW][C]49[/C][C]-0.056048[/C][C]-0.4723[/C][C]0.319092[/C][/ROW]
[ROW][C]50[/C][C]-0.025355[/C][C]-0.2136[/C][C]0.415717[/C][/ROW]
[ROW][C]51[/C][C]0.063803[/C][C]0.5376[/C][C]0.296263[/C][/ROW]
[ROW][C]52[/C][C]-0.034387[/C][C]-0.2898[/C][C]0.386425[/C][/ROW]
[ROW][C]53[/C][C]0.063655[/C][C]0.5364[/C][C]0.29669[/C][/ROW]
[ROW][C]54[/C][C]-0.06572[/C][C]-0.5538[/C][C]0.29074[/C][/ROW]
[ROW][C]55[/C][C]0.021519[/C][C]0.1813[/C][C]0.428316[/C][/ROW]
[ROW][C]56[/C][C]0.003891[/C][C]0.0328[/C][C]0.48697[/C][/ROW]
[ROW][C]57[/C][C]-0.006958[/C][C]-0.0586[/C][C]0.476706[/C][/ROW]
[ROW][C]58[/C][C]-0.035482[/C][C]-0.299[/C][C]0.382915[/C][/ROW]
[ROW][C]59[/C][C]-0.014533[/C][C]-0.1225[/C][C]0.451442[/C][/ROW]
[ROW][C]60[/C][C]-0.048464[/C][C]-0.4084[/C][C]0.342118[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34281&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34281&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
1-0.014606-0.12310.4512
2-0.096189-0.81050.210181
3-0.347051-2.92430.002315
4-0.485838-4.09375.5e-05
5-0.172035-1.44960.075787
6-0.158776-1.33790.092604
7-0.234276-1.9740.026134
8-0.194457-1.63850.052869
9-0.043487-0.36640.357566
10-0.10517-0.88620.189256
110.0773140.65150.258426
12-0.134374-1.13230.130668
13-0.021564-0.18170.428168
140.0186280.1570.437859
150.1073370.90440.184411
160.012470.10510.458306
17-0.202855-1.70930.045883
180.1314511.10760.13588
19-0.131311-1.10640.136134
200.0313560.26420.39619
210.0153960.12970.448575
220.0324340.27330.39271
230.0893160.75260.227092
24-0.112939-0.95160.172254
250.0411680.34690.36485
260.0739010.62270.267739
270.13691.15350.126279
280.0799180.67340.25144
29-0.094132-0.79320.215161
30-0.161345-1.35950.089142
31-0.072521-0.61110.271551
320.0119530.10070.460029
33-0.078755-0.66360.254546
34-0.090912-0.7660.223097
350.0332420.28010.390107
36-0.01936-0.16310.435439
37-0.048217-0.40630.342877
380.0704290.59340.277384
390.007080.05970.476297
40-0.017688-0.1490.440973
410.0712850.60070.274991
42-0.035533-0.29940.382753
43-0.034756-0.29290.385242
44-0.096261-0.81110.210007
450.0362420.30540.380486
46-0.064825-0.54620.293311
47-0.077835-0.65580.257021
48-0.079961-0.67380.251326
49-0.056048-0.47230.319092
50-0.025355-0.21360.415717
510.0638030.53760.296263
52-0.034387-0.28980.386425
530.0636550.53640.29669
54-0.06572-0.55380.29074
550.0215190.18130.428316
560.0038910.03280.48697
57-0.006958-0.05860.476706
58-0.035482-0.2990.382915
59-0.014533-0.12250.451442
60-0.048464-0.40840.342118



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 2 ; par4 = 1 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 2 ; par4 = 1 ; 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')