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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 13:21:05 +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/t1272893018iong1ozxt4sckay.htm/, Retrieved Fri, 29 Mar 2024 01:42:45 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=75202, Retrieved Fri, 29 Mar 2024 01:42:45 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP2W21
Estimated Impact181
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [autocorrelatie no...] [2010-05-03 13:21:05] [819ef9efcbdcdc4b312cf90f12d3a4d4] [Current]
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Dataseries X:
2
2.4
1.5
1.2
1.5
0.6
2.7
3.7
4.9
6.6
7.4
7.2
5.3
4.7
6.1
6.6
7
7.5
6.6
7.8
4.7
5.4
4.3
4.5
5.8
4.6
5.2
3.6
4.8
6.7
6.3
4.8
8.7
6.8
7.4
9
7.9
9.1
8.7
9.8
6.4
6.1
4.7
4.8
4.2
2.8
6.1
5.8
4.9
4.6
4.1
3.6
5.9
4.5
4.8
5.7
5
7
4.6
2.6
5
4.1
3.2
0
2.3
3.8
4.5
5.9
5
4.2
4.5
6




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=75202&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=75202&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=75202&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.267549-2.25440.013629
2-0.010398-0.08760.465216
30.0284020.23930.405773
4-0.142262-1.19870.117311
50.126481.06570.145075
6-0.141549-1.19270.118476
70.0345180.29090.386005
8-0.044033-0.3710.355862
90.0726770.61240.271119
10-0.035814-0.30180.381854
110.0856610.72180.236397
12-0.29789-2.51010.007176
130.0315110.26550.39569
140.0663150.55880.289036
150.0394350.33230.370326
16-0.114012-0.96070.169987
17-0.103242-0.86990.193635
180.2564242.16070.017048
19-0.109821-0.92540.178955
200.1661211.39980.08297
21-0.071379-0.60140.274728
220.067670.57020.285171
230.1351971.13920.129226
24-0.201101-1.69450.047276
250.1185560.9990.160601
26-0.110758-0.93330.176924
27-0.113699-0.9580.170645
280.1963851.65480.051193
29-0.004679-0.03940.48433
30-0.07496-0.63160.26483
31-0.03375-0.28440.388473
320.024890.20970.417241
330.0137780.11610.453951
34-0.185213-1.56060.061528
35-0.038372-0.32330.373698
360.1087830.91660.181221
37-0.039039-0.32890.371581
380.1223961.03130.152945
39-0.009769-0.08230.467314
40-0.055985-0.47170.31928
410.0559960.47180.319246
42-0.027944-0.23550.407264
430.1028620.86670.194504
44-0.132734-1.11840.133575
45-0.017095-0.1440.442938
460.0653630.55080.291765
47-0.032843-0.27670.39139
480.018930.15950.436861

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.267549 & -2.2544 & 0.013629 \tabularnewline
2 & -0.010398 & -0.0876 & 0.465216 \tabularnewline
3 & 0.028402 & 0.2393 & 0.405773 \tabularnewline
4 & -0.142262 & -1.1987 & 0.117311 \tabularnewline
5 & 0.12648 & 1.0657 & 0.145075 \tabularnewline
6 & -0.141549 & -1.1927 & 0.118476 \tabularnewline
7 & 0.034518 & 0.2909 & 0.386005 \tabularnewline
8 & -0.044033 & -0.371 & 0.355862 \tabularnewline
9 & 0.072677 & 0.6124 & 0.271119 \tabularnewline
10 & -0.035814 & -0.3018 & 0.381854 \tabularnewline
11 & 0.085661 & 0.7218 & 0.236397 \tabularnewline
12 & -0.29789 & -2.5101 & 0.007176 \tabularnewline
13 & 0.031511 & 0.2655 & 0.39569 \tabularnewline
14 & 0.066315 & 0.5588 & 0.289036 \tabularnewline
15 & 0.039435 & 0.3323 & 0.370326 \tabularnewline
16 & -0.114012 & -0.9607 & 0.169987 \tabularnewline
17 & -0.103242 & -0.8699 & 0.193635 \tabularnewline
18 & 0.256424 & 2.1607 & 0.017048 \tabularnewline
19 & -0.109821 & -0.9254 & 0.178955 \tabularnewline
20 & 0.166121 & 1.3998 & 0.08297 \tabularnewline
21 & -0.071379 & -0.6014 & 0.274728 \tabularnewline
22 & 0.06767 & 0.5702 & 0.285171 \tabularnewline
23 & 0.135197 & 1.1392 & 0.129226 \tabularnewline
24 & -0.201101 & -1.6945 & 0.047276 \tabularnewline
25 & 0.118556 & 0.999 & 0.160601 \tabularnewline
26 & -0.110758 & -0.9333 & 0.176924 \tabularnewline
27 & -0.113699 & -0.958 & 0.170645 \tabularnewline
28 & 0.196385 & 1.6548 & 0.051193 \tabularnewline
29 & -0.004679 & -0.0394 & 0.48433 \tabularnewline
30 & -0.07496 & -0.6316 & 0.26483 \tabularnewline
31 & -0.03375 & -0.2844 & 0.388473 \tabularnewline
32 & 0.02489 & 0.2097 & 0.417241 \tabularnewline
33 & 0.013778 & 0.1161 & 0.453951 \tabularnewline
34 & -0.185213 & -1.5606 & 0.061528 \tabularnewline
35 & -0.038372 & -0.3233 & 0.373698 \tabularnewline
36 & 0.108783 & 0.9166 & 0.181221 \tabularnewline
37 & -0.039039 & -0.3289 & 0.371581 \tabularnewline
38 & 0.122396 & 1.0313 & 0.152945 \tabularnewline
39 & -0.009769 & -0.0823 & 0.467314 \tabularnewline
40 & -0.055985 & -0.4717 & 0.31928 \tabularnewline
41 & 0.055996 & 0.4718 & 0.319246 \tabularnewline
42 & -0.027944 & -0.2355 & 0.407264 \tabularnewline
43 & 0.102862 & 0.8667 & 0.194504 \tabularnewline
44 & -0.132734 & -1.1184 & 0.133575 \tabularnewline
45 & -0.017095 & -0.144 & 0.442938 \tabularnewline
46 & 0.065363 & 0.5508 & 0.291765 \tabularnewline
47 & -0.032843 & -0.2767 & 0.39139 \tabularnewline
48 & 0.01893 & 0.1595 & 0.436861 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=75202&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]-0.267549[/C][C]-2.2544[/C][C]0.013629[/C][/ROW]
[ROW][C]2[/C][C]-0.010398[/C][C]-0.0876[/C][C]0.465216[/C][/ROW]
[ROW][C]3[/C][C]0.028402[/C][C]0.2393[/C][C]0.405773[/C][/ROW]
[ROW][C]4[/C][C]-0.142262[/C][C]-1.1987[/C][C]0.117311[/C][/ROW]
[ROW][C]5[/C][C]0.12648[/C][C]1.0657[/C][C]0.145075[/C][/ROW]
[ROW][C]6[/C][C]-0.141549[/C][C]-1.1927[/C][C]0.118476[/C][/ROW]
[ROW][C]7[/C][C]0.034518[/C][C]0.2909[/C][C]0.386005[/C][/ROW]
[ROW][C]8[/C][C]-0.044033[/C][C]-0.371[/C][C]0.355862[/C][/ROW]
[ROW][C]9[/C][C]0.072677[/C][C]0.6124[/C][C]0.271119[/C][/ROW]
[ROW][C]10[/C][C]-0.035814[/C][C]-0.3018[/C][C]0.381854[/C][/ROW]
[ROW][C]11[/C][C]0.085661[/C][C]0.7218[/C][C]0.236397[/C][/ROW]
[ROW][C]12[/C][C]-0.29789[/C][C]-2.5101[/C][C]0.007176[/C][/ROW]
[ROW][C]13[/C][C]0.031511[/C][C]0.2655[/C][C]0.39569[/C][/ROW]
[ROW][C]14[/C][C]0.066315[/C][C]0.5588[/C][C]0.289036[/C][/ROW]
[ROW][C]15[/C][C]0.039435[/C][C]0.3323[/C][C]0.370326[/C][/ROW]
[ROW][C]16[/C][C]-0.114012[/C][C]-0.9607[/C][C]0.169987[/C][/ROW]
[ROW][C]17[/C][C]-0.103242[/C][C]-0.8699[/C][C]0.193635[/C][/ROW]
[ROW][C]18[/C][C]0.256424[/C][C]2.1607[/C][C]0.017048[/C][/ROW]
[ROW][C]19[/C][C]-0.109821[/C][C]-0.9254[/C][C]0.178955[/C][/ROW]
[ROW][C]20[/C][C]0.166121[/C][C]1.3998[/C][C]0.08297[/C][/ROW]
[ROW][C]21[/C][C]-0.071379[/C][C]-0.6014[/C][C]0.274728[/C][/ROW]
[ROW][C]22[/C][C]0.06767[/C][C]0.5702[/C][C]0.285171[/C][/ROW]
[ROW][C]23[/C][C]0.135197[/C][C]1.1392[/C][C]0.129226[/C][/ROW]
[ROW][C]24[/C][C]-0.201101[/C][C]-1.6945[/C][C]0.047276[/C][/ROW]
[ROW][C]25[/C][C]0.118556[/C][C]0.999[/C][C]0.160601[/C][/ROW]
[ROW][C]26[/C][C]-0.110758[/C][C]-0.9333[/C][C]0.176924[/C][/ROW]
[ROW][C]27[/C][C]-0.113699[/C][C]-0.958[/C][C]0.170645[/C][/ROW]
[ROW][C]28[/C][C]0.196385[/C][C]1.6548[/C][C]0.051193[/C][/ROW]
[ROW][C]29[/C][C]-0.004679[/C][C]-0.0394[/C][C]0.48433[/C][/ROW]
[ROW][C]30[/C][C]-0.07496[/C][C]-0.6316[/C][C]0.26483[/C][/ROW]
[ROW][C]31[/C][C]-0.03375[/C][C]-0.2844[/C][C]0.388473[/C][/ROW]
[ROW][C]32[/C][C]0.02489[/C][C]0.2097[/C][C]0.417241[/C][/ROW]
[ROW][C]33[/C][C]0.013778[/C][C]0.1161[/C][C]0.453951[/C][/ROW]
[ROW][C]34[/C][C]-0.185213[/C][C]-1.5606[/C][C]0.061528[/C][/ROW]
[ROW][C]35[/C][C]-0.038372[/C][C]-0.3233[/C][C]0.373698[/C][/ROW]
[ROW][C]36[/C][C]0.108783[/C][C]0.9166[/C][C]0.181221[/C][/ROW]
[ROW][C]37[/C][C]-0.039039[/C][C]-0.3289[/C][C]0.371581[/C][/ROW]
[ROW][C]38[/C][C]0.122396[/C][C]1.0313[/C][C]0.152945[/C][/ROW]
[ROW][C]39[/C][C]-0.009769[/C][C]-0.0823[/C][C]0.467314[/C][/ROW]
[ROW][C]40[/C][C]-0.055985[/C][C]-0.4717[/C][C]0.31928[/C][/ROW]
[ROW][C]41[/C][C]0.055996[/C][C]0.4718[/C][C]0.319246[/C][/ROW]
[ROW][C]42[/C][C]-0.027944[/C][C]-0.2355[/C][C]0.407264[/C][/ROW]
[ROW][C]43[/C][C]0.102862[/C][C]0.8667[/C][C]0.194504[/C][/ROW]
[ROW][C]44[/C][C]-0.132734[/C][C]-1.1184[/C][C]0.133575[/C][/ROW]
[ROW][C]45[/C][C]-0.017095[/C][C]-0.144[/C][C]0.442938[/C][/ROW]
[ROW][C]46[/C][C]0.065363[/C][C]0.5508[/C][C]0.291765[/C][/ROW]
[ROW][C]47[/C][C]-0.032843[/C][C]-0.2767[/C][C]0.39139[/C][/ROW]
[ROW][C]48[/C][C]0.01893[/C][C]0.1595[/C][C]0.436861[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=75202&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=75202&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
1-0.267549-2.25440.013629
2-0.010398-0.08760.465216
30.0284020.23930.405773
4-0.142262-1.19870.117311
50.126481.06570.145075
6-0.141549-1.19270.118476
70.0345180.29090.386005
8-0.044033-0.3710.355862
90.0726770.61240.271119
10-0.035814-0.30180.381854
110.0856610.72180.236397
12-0.29789-2.51010.007176
130.0315110.26550.39569
140.0663150.55880.289036
150.0394350.33230.370326
16-0.114012-0.96070.169987
17-0.103242-0.86990.193635
180.2564242.16070.017048
19-0.109821-0.92540.178955
200.1661211.39980.08297
21-0.071379-0.60140.274728
220.067670.57020.285171
230.1351971.13920.129226
24-0.201101-1.69450.047276
250.1185560.9990.160601
26-0.110758-0.93330.176924
27-0.113699-0.9580.170645
280.1963851.65480.051193
29-0.004679-0.03940.48433
30-0.07496-0.63160.26483
31-0.03375-0.28440.388473
320.024890.20970.417241
330.0137780.11610.453951
34-0.185213-1.56060.061528
35-0.038372-0.32330.373698
360.1087830.91660.181221
37-0.039039-0.32890.371581
380.1223961.03130.152945
39-0.009769-0.08230.467314
40-0.055985-0.47170.31928
410.0559960.47180.319246
42-0.027944-0.23550.407264
430.1028620.86670.194504
44-0.132734-1.11840.133575
45-0.017095-0.1440.442938
460.0653630.55080.291765
47-0.032843-0.27670.39139
480.018930.15950.436861







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.267549-2.25440.013629
2-0.088301-0.7440.229656
30.00190.0160.493637
4-0.145901-1.22940.111493
50.0538170.45350.325798
6-0.117606-0.9910.162534
7-0.026011-0.21920.413572
8-0.083575-0.70420.241802
90.0695320.58590.279905
10-0.051068-0.43030.334137
110.1066750.89890.185882
12-0.331424-2.79260.003357
13-0.090614-0.76350.22384
14-0.051524-0.43410.332749
150.137111.15530.125919
16-0.258615-2.17910.016321
17-0.123939-1.04430.149938
180.097490.82150.207066
190.0266020.22420.411642
200.0689970.58140.281414
210.0355840.29980.382588
220.1158930.97650.166059
230.2121951.7880.039022
24-0.20124-1.69570.047164
250.0173690.14640.442029
26-0.002492-0.0210.491653
27-0.08404-0.70810.24059
280.0049990.04210.483261
29-0.000347-0.00290.498837
300.0490050.41290.340453
31-0.072429-0.61030.271806
320.0618780.52140.301857
33-0.017259-0.14540.442394
34-0.146012-1.23030.11132
35-0.034399-0.28990.386386
36-0.002098-0.01770.492971
37-0.04456-0.37550.354215
380.0715790.60310.274169
39-0.005126-0.04320.482834
40-0.076528-0.64480.260555
41-0.035169-0.29630.383919
420.0518060.43650.33189
43-0.05889-0.49620.310637
44-0.04728-0.39840.345769
45-0.016184-0.13640.445959
46-0.09847-0.82970.204738
47-0.065619-0.55290.291028
48-0.031784-0.26780.394809

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.267549 & -2.2544 & 0.013629 \tabularnewline
2 & -0.088301 & -0.744 & 0.229656 \tabularnewline
3 & 0.0019 & 0.016 & 0.493637 \tabularnewline
4 & -0.145901 & -1.2294 & 0.111493 \tabularnewline
5 & 0.053817 & 0.4535 & 0.325798 \tabularnewline
6 & -0.117606 & -0.991 & 0.162534 \tabularnewline
7 & -0.026011 & -0.2192 & 0.413572 \tabularnewline
8 & -0.083575 & -0.7042 & 0.241802 \tabularnewline
9 & 0.069532 & 0.5859 & 0.279905 \tabularnewline
10 & -0.051068 & -0.4303 & 0.334137 \tabularnewline
11 & 0.106675 & 0.8989 & 0.185882 \tabularnewline
12 & -0.331424 & -2.7926 & 0.003357 \tabularnewline
13 & -0.090614 & -0.7635 & 0.22384 \tabularnewline
14 & -0.051524 & -0.4341 & 0.332749 \tabularnewline
15 & 0.13711 & 1.1553 & 0.125919 \tabularnewline
16 & -0.258615 & -2.1791 & 0.016321 \tabularnewline
17 & -0.123939 & -1.0443 & 0.149938 \tabularnewline
18 & 0.09749 & 0.8215 & 0.207066 \tabularnewline
19 & 0.026602 & 0.2242 & 0.411642 \tabularnewline
20 & 0.068997 & 0.5814 & 0.281414 \tabularnewline
21 & 0.035584 & 0.2998 & 0.382588 \tabularnewline
22 & 0.115893 & 0.9765 & 0.166059 \tabularnewline
23 & 0.212195 & 1.788 & 0.039022 \tabularnewline
24 & -0.20124 & -1.6957 & 0.047164 \tabularnewline
25 & 0.017369 & 0.1464 & 0.442029 \tabularnewline
26 & -0.002492 & -0.021 & 0.491653 \tabularnewline
27 & -0.08404 & -0.7081 & 0.24059 \tabularnewline
28 & 0.004999 & 0.0421 & 0.483261 \tabularnewline
29 & -0.000347 & -0.0029 & 0.498837 \tabularnewline
30 & 0.049005 & 0.4129 & 0.340453 \tabularnewline
31 & -0.072429 & -0.6103 & 0.271806 \tabularnewline
32 & 0.061878 & 0.5214 & 0.301857 \tabularnewline
33 & -0.017259 & -0.1454 & 0.442394 \tabularnewline
34 & -0.146012 & -1.2303 & 0.11132 \tabularnewline
35 & -0.034399 & -0.2899 & 0.386386 \tabularnewline
36 & -0.002098 & -0.0177 & 0.492971 \tabularnewline
37 & -0.04456 & -0.3755 & 0.354215 \tabularnewline
38 & 0.071579 & 0.6031 & 0.274169 \tabularnewline
39 & -0.005126 & -0.0432 & 0.482834 \tabularnewline
40 & -0.076528 & -0.6448 & 0.260555 \tabularnewline
41 & -0.035169 & -0.2963 & 0.383919 \tabularnewline
42 & 0.051806 & 0.4365 & 0.33189 \tabularnewline
43 & -0.05889 & -0.4962 & 0.310637 \tabularnewline
44 & -0.04728 & -0.3984 & 0.345769 \tabularnewline
45 & -0.016184 & -0.1364 & 0.445959 \tabularnewline
46 & -0.09847 & -0.8297 & 0.204738 \tabularnewline
47 & -0.065619 & -0.5529 & 0.291028 \tabularnewline
48 & -0.031784 & -0.2678 & 0.394809 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=75202&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]-0.267549[/C][C]-2.2544[/C][C]0.013629[/C][/ROW]
[ROW][C]2[/C][C]-0.088301[/C][C]-0.744[/C][C]0.229656[/C][/ROW]
[ROW][C]3[/C][C]0.0019[/C][C]0.016[/C][C]0.493637[/C][/ROW]
[ROW][C]4[/C][C]-0.145901[/C][C]-1.2294[/C][C]0.111493[/C][/ROW]
[ROW][C]5[/C][C]0.053817[/C][C]0.4535[/C][C]0.325798[/C][/ROW]
[ROW][C]6[/C][C]-0.117606[/C][C]-0.991[/C][C]0.162534[/C][/ROW]
[ROW][C]7[/C][C]-0.026011[/C][C]-0.2192[/C][C]0.413572[/C][/ROW]
[ROW][C]8[/C][C]-0.083575[/C][C]-0.7042[/C][C]0.241802[/C][/ROW]
[ROW][C]9[/C][C]0.069532[/C][C]0.5859[/C][C]0.279905[/C][/ROW]
[ROW][C]10[/C][C]-0.051068[/C][C]-0.4303[/C][C]0.334137[/C][/ROW]
[ROW][C]11[/C][C]0.106675[/C][C]0.8989[/C][C]0.185882[/C][/ROW]
[ROW][C]12[/C][C]-0.331424[/C][C]-2.7926[/C][C]0.003357[/C][/ROW]
[ROW][C]13[/C][C]-0.090614[/C][C]-0.7635[/C][C]0.22384[/C][/ROW]
[ROW][C]14[/C][C]-0.051524[/C][C]-0.4341[/C][C]0.332749[/C][/ROW]
[ROW][C]15[/C][C]0.13711[/C][C]1.1553[/C][C]0.125919[/C][/ROW]
[ROW][C]16[/C][C]-0.258615[/C][C]-2.1791[/C][C]0.016321[/C][/ROW]
[ROW][C]17[/C][C]-0.123939[/C][C]-1.0443[/C][C]0.149938[/C][/ROW]
[ROW][C]18[/C][C]0.09749[/C][C]0.8215[/C][C]0.207066[/C][/ROW]
[ROW][C]19[/C][C]0.026602[/C][C]0.2242[/C][C]0.411642[/C][/ROW]
[ROW][C]20[/C][C]0.068997[/C][C]0.5814[/C][C]0.281414[/C][/ROW]
[ROW][C]21[/C][C]0.035584[/C][C]0.2998[/C][C]0.382588[/C][/ROW]
[ROW][C]22[/C][C]0.115893[/C][C]0.9765[/C][C]0.166059[/C][/ROW]
[ROW][C]23[/C][C]0.212195[/C][C]1.788[/C][C]0.039022[/C][/ROW]
[ROW][C]24[/C][C]-0.20124[/C][C]-1.6957[/C][C]0.047164[/C][/ROW]
[ROW][C]25[/C][C]0.017369[/C][C]0.1464[/C][C]0.442029[/C][/ROW]
[ROW][C]26[/C][C]-0.002492[/C][C]-0.021[/C][C]0.491653[/C][/ROW]
[ROW][C]27[/C][C]-0.08404[/C][C]-0.7081[/C][C]0.24059[/C][/ROW]
[ROW][C]28[/C][C]0.004999[/C][C]0.0421[/C][C]0.483261[/C][/ROW]
[ROW][C]29[/C][C]-0.000347[/C][C]-0.0029[/C][C]0.498837[/C][/ROW]
[ROW][C]30[/C][C]0.049005[/C][C]0.4129[/C][C]0.340453[/C][/ROW]
[ROW][C]31[/C][C]-0.072429[/C][C]-0.6103[/C][C]0.271806[/C][/ROW]
[ROW][C]32[/C][C]0.061878[/C][C]0.5214[/C][C]0.301857[/C][/ROW]
[ROW][C]33[/C][C]-0.017259[/C][C]-0.1454[/C][C]0.442394[/C][/ROW]
[ROW][C]34[/C][C]-0.146012[/C][C]-1.2303[/C][C]0.11132[/C][/ROW]
[ROW][C]35[/C][C]-0.034399[/C][C]-0.2899[/C][C]0.386386[/C][/ROW]
[ROW][C]36[/C][C]-0.002098[/C][C]-0.0177[/C][C]0.492971[/C][/ROW]
[ROW][C]37[/C][C]-0.04456[/C][C]-0.3755[/C][C]0.354215[/C][/ROW]
[ROW][C]38[/C][C]0.071579[/C][C]0.6031[/C][C]0.274169[/C][/ROW]
[ROW][C]39[/C][C]-0.005126[/C][C]-0.0432[/C][C]0.482834[/C][/ROW]
[ROW][C]40[/C][C]-0.076528[/C][C]-0.6448[/C][C]0.260555[/C][/ROW]
[ROW][C]41[/C][C]-0.035169[/C][C]-0.2963[/C][C]0.383919[/C][/ROW]
[ROW][C]42[/C][C]0.051806[/C][C]0.4365[/C][C]0.33189[/C][/ROW]
[ROW][C]43[/C][C]-0.05889[/C][C]-0.4962[/C][C]0.310637[/C][/ROW]
[ROW][C]44[/C][C]-0.04728[/C][C]-0.3984[/C][C]0.345769[/C][/ROW]
[ROW][C]45[/C][C]-0.016184[/C][C]-0.1364[/C][C]0.445959[/C][/ROW]
[ROW][C]46[/C][C]-0.09847[/C][C]-0.8297[/C][C]0.204738[/C][/ROW]
[ROW][C]47[/C][C]-0.065619[/C][C]-0.5529[/C][C]0.291028[/C][/ROW]
[ROW][C]48[/C][C]-0.031784[/C][C]-0.2678[/C][C]0.394809[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=75202&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=75202&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
1-0.267549-2.25440.013629
2-0.088301-0.7440.229656
30.00190.0160.493637
4-0.145901-1.22940.111493
50.0538170.45350.325798
6-0.117606-0.9910.162534
7-0.026011-0.21920.413572
8-0.083575-0.70420.241802
90.0695320.58590.279905
10-0.051068-0.43030.334137
110.1066750.89890.185882
12-0.331424-2.79260.003357
13-0.090614-0.76350.22384
14-0.051524-0.43410.332749
150.137111.15530.125919
16-0.258615-2.17910.016321
17-0.123939-1.04430.149938
180.097490.82150.207066
190.0266020.22420.411642
200.0689970.58140.281414
210.0355840.29980.382588
220.1158930.97650.166059
230.2121951.7880.039022
24-0.20124-1.69570.047164
250.0173690.14640.442029
26-0.002492-0.0210.491653
27-0.08404-0.70810.24059
280.0049990.04210.483261
29-0.000347-0.00290.498837
300.0490050.41290.340453
31-0.072429-0.61030.271806
320.0618780.52140.301857
33-0.017259-0.14540.442394
34-0.146012-1.23030.11132
35-0.034399-0.28990.386386
36-0.002098-0.01770.492971
37-0.04456-0.37550.354215
380.0715790.60310.274169
39-0.005126-0.04320.482834
40-0.076528-0.64480.260555
41-0.035169-0.29630.383919
420.0518060.43650.33189
43-0.05889-0.49620.310637
44-0.04728-0.39840.345769
45-0.016184-0.13640.445959
46-0.09847-0.82970.204738
47-0.065619-0.55290.291028
48-0.031784-0.26780.394809



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 1 ; 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')