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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationThu, 14 May 2009 04:07:01 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/May/14/t1242295675we30okjj1sdh2l2.htm/, Retrieved Mon, 29 Apr 2024 06:46:18 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=39969, Retrieved Mon, 29 Apr 2024 06:46:18 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact143
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Opgave 6 BIS Oefe...] [2009-05-14 10:07:01] [be8f2ceb4bab9280e3447d0ad1b6c819] [Current]
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Dataseries X:
3.27
3.27
3.27
3.27
3.27
3.28
3.32
3.34
3.34
3.35
3.35
3.35
3.35
3.35
3.4
3.42
3.42
3.42
3.42
3.42
3.42
3.42
3.42
3.42
3.42
3.42
3.43
3.47
3.51
3.52
3.52
3.52
3.52
3.52
3.52
3.52
3.52
3.52
3.58
3.6
3.61
3.61
3.61
3.63
3.68
3.69
3.69
3.69
3.69
3.69
3.69
3.69
3.69
3.78
3.79
3.79
3.8
3.8
3.8
3.8
3.81
3.95
3.99
4
4.06
4.16
4.19
4.2
4.2
4.2
4.2
4.2
4.23
4.38
4.43
4.44
4.44
4.44
4.44
4.44
4.45
4.45
4.45
4.45
4.45
4.45
4.45
4.45
4.46
4.46
4.46
4.48
4.58
4.67
4.68
4.68
4.69
4.69
4.69
4.69
4.69
4.69
4.69
4.73
4.78
4.79
4.79
4.8
4.8
4.81
5.16
5.26
5.29
5.29
5.29
5.3
5.3
5.3
5.3
5.3
5.3
5.3
5.3
5.35
5.44
5.47
5.47
5.48
5.48
5.48
5.48




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39969&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39969&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39969&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'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.2927193.33750.000551
2-0.038057-0.43390.332536
3-0.07538-0.85950.195835
4-0.07639-0.8710.192685
5-0.09032-1.02980.152507
6-0.046943-0.53520.296701
7-0.013348-0.15220.439634
80.0312280.35610.36119
9-0.033918-0.38670.349797
10-0.082776-0.94380.173514
11-0.017667-0.20140.420336
120.0718960.81970.206933
130.0461080.52570.299992
140.0523880.59730.275669
15-0.055345-0.6310.264563
16-0.102496-1.16860.122344
170.0710420.810.209708
180.1167721.33140.092693
190.0693440.79060.215295
200.061090.69650.24367
21-0.019374-0.22090.412758
22-0.057759-0.65850.255675
23-0.056785-0.64740.259242
24-0.091478-1.0430.14944
25-0.096964-1.10560.13548
26-0.063046-0.71880.236766
27-0.017639-0.20110.420459
28-0.024694-0.28160.389365
29-0.020168-0.230.409246
300.028330.3230.373602
310.0791350.90230.184288
320.03120.35570.361307
33-0.051802-0.59060.277896
34-0.057749-0.65840.255709
35-0.030614-0.34910.363806
360.0040420.04610.481657
370.1862092.12310.01782
380.081290.92680.177861
390.0330780.37710.353339
40-0.049878-0.56870.285273
41-0.098736-1.12580.13117
42-0.069617-0.79380.214393
43-0.055678-0.63480.26333
44-0.029096-0.33170.370307
450.1013931.15610.124888
460.0963691.09880.136949
470.0212110.24180.404643
480.0152630.1740.431057

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.292719 & 3.3375 & 0.000551 \tabularnewline
2 & -0.038057 & -0.4339 & 0.332536 \tabularnewline
3 & -0.07538 & -0.8595 & 0.195835 \tabularnewline
4 & -0.07639 & -0.871 & 0.192685 \tabularnewline
5 & -0.09032 & -1.0298 & 0.152507 \tabularnewline
6 & -0.046943 & -0.5352 & 0.296701 \tabularnewline
7 & -0.013348 & -0.1522 & 0.439634 \tabularnewline
8 & 0.031228 & 0.3561 & 0.36119 \tabularnewline
9 & -0.033918 & -0.3867 & 0.349797 \tabularnewline
10 & -0.082776 & -0.9438 & 0.173514 \tabularnewline
11 & -0.017667 & -0.2014 & 0.420336 \tabularnewline
12 & 0.071896 & 0.8197 & 0.206933 \tabularnewline
13 & 0.046108 & 0.5257 & 0.299992 \tabularnewline
14 & 0.052388 & 0.5973 & 0.275669 \tabularnewline
15 & -0.055345 & -0.631 & 0.264563 \tabularnewline
16 & -0.102496 & -1.1686 & 0.122344 \tabularnewline
17 & 0.071042 & 0.81 & 0.209708 \tabularnewline
18 & 0.116772 & 1.3314 & 0.092693 \tabularnewline
19 & 0.069344 & 0.7906 & 0.215295 \tabularnewline
20 & 0.06109 & 0.6965 & 0.24367 \tabularnewline
21 & -0.019374 & -0.2209 & 0.412758 \tabularnewline
22 & -0.057759 & -0.6585 & 0.255675 \tabularnewline
23 & -0.056785 & -0.6474 & 0.259242 \tabularnewline
24 & -0.091478 & -1.043 & 0.14944 \tabularnewline
25 & -0.096964 & -1.1056 & 0.13548 \tabularnewline
26 & -0.063046 & -0.7188 & 0.236766 \tabularnewline
27 & -0.017639 & -0.2011 & 0.420459 \tabularnewline
28 & -0.024694 & -0.2816 & 0.389365 \tabularnewline
29 & -0.020168 & -0.23 & 0.409246 \tabularnewline
30 & 0.02833 & 0.323 & 0.373602 \tabularnewline
31 & 0.079135 & 0.9023 & 0.184288 \tabularnewline
32 & 0.0312 & 0.3557 & 0.361307 \tabularnewline
33 & -0.051802 & -0.5906 & 0.277896 \tabularnewline
34 & -0.057749 & -0.6584 & 0.255709 \tabularnewline
35 & -0.030614 & -0.3491 & 0.363806 \tabularnewline
36 & 0.004042 & 0.0461 & 0.481657 \tabularnewline
37 & 0.186209 & 2.1231 & 0.01782 \tabularnewline
38 & 0.08129 & 0.9268 & 0.177861 \tabularnewline
39 & 0.033078 & 0.3771 & 0.353339 \tabularnewline
40 & -0.049878 & -0.5687 & 0.285273 \tabularnewline
41 & -0.098736 & -1.1258 & 0.13117 \tabularnewline
42 & -0.069617 & -0.7938 & 0.214393 \tabularnewline
43 & -0.055678 & -0.6348 & 0.26333 \tabularnewline
44 & -0.029096 & -0.3317 & 0.370307 \tabularnewline
45 & 0.101393 & 1.1561 & 0.124888 \tabularnewline
46 & 0.096369 & 1.0988 & 0.136949 \tabularnewline
47 & 0.021211 & 0.2418 & 0.404643 \tabularnewline
48 & 0.015263 & 0.174 & 0.431057 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39969&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]0.292719[/C][C]3.3375[/C][C]0.000551[/C][/ROW]
[ROW][C]2[/C][C]-0.038057[/C][C]-0.4339[/C][C]0.332536[/C][/ROW]
[ROW][C]3[/C][C]-0.07538[/C][C]-0.8595[/C][C]0.195835[/C][/ROW]
[ROW][C]4[/C][C]-0.07639[/C][C]-0.871[/C][C]0.192685[/C][/ROW]
[ROW][C]5[/C][C]-0.09032[/C][C]-1.0298[/C][C]0.152507[/C][/ROW]
[ROW][C]6[/C][C]-0.046943[/C][C]-0.5352[/C][C]0.296701[/C][/ROW]
[ROW][C]7[/C][C]-0.013348[/C][C]-0.1522[/C][C]0.439634[/C][/ROW]
[ROW][C]8[/C][C]0.031228[/C][C]0.3561[/C][C]0.36119[/C][/ROW]
[ROW][C]9[/C][C]-0.033918[/C][C]-0.3867[/C][C]0.349797[/C][/ROW]
[ROW][C]10[/C][C]-0.082776[/C][C]-0.9438[/C][C]0.173514[/C][/ROW]
[ROW][C]11[/C][C]-0.017667[/C][C]-0.2014[/C][C]0.420336[/C][/ROW]
[ROW][C]12[/C][C]0.071896[/C][C]0.8197[/C][C]0.206933[/C][/ROW]
[ROW][C]13[/C][C]0.046108[/C][C]0.5257[/C][C]0.299992[/C][/ROW]
[ROW][C]14[/C][C]0.052388[/C][C]0.5973[/C][C]0.275669[/C][/ROW]
[ROW][C]15[/C][C]-0.055345[/C][C]-0.631[/C][C]0.264563[/C][/ROW]
[ROW][C]16[/C][C]-0.102496[/C][C]-1.1686[/C][C]0.122344[/C][/ROW]
[ROW][C]17[/C][C]0.071042[/C][C]0.81[/C][C]0.209708[/C][/ROW]
[ROW][C]18[/C][C]0.116772[/C][C]1.3314[/C][C]0.092693[/C][/ROW]
[ROW][C]19[/C][C]0.069344[/C][C]0.7906[/C][C]0.215295[/C][/ROW]
[ROW][C]20[/C][C]0.06109[/C][C]0.6965[/C][C]0.24367[/C][/ROW]
[ROW][C]21[/C][C]-0.019374[/C][C]-0.2209[/C][C]0.412758[/C][/ROW]
[ROW][C]22[/C][C]-0.057759[/C][C]-0.6585[/C][C]0.255675[/C][/ROW]
[ROW][C]23[/C][C]-0.056785[/C][C]-0.6474[/C][C]0.259242[/C][/ROW]
[ROW][C]24[/C][C]-0.091478[/C][C]-1.043[/C][C]0.14944[/C][/ROW]
[ROW][C]25[/C][C]-0.096964[/C][C]-1.1056[/C][C]0.13548[/C][/ROW]
[ROW][C]26[/C][C]-0.063046[/C][C]-0.7188[/C][C]0.236766[/C][/ROW]
[ROW][C]27[/C][C]-0.017639[/C][C]-0.2011[/C][C]0.420459[/C][/ROW]
[ROW][C]28[/C][C]-0.024694[/C][C]-0.2816[/C][C]0.389365[/C][/ROW]
[ROW][C]29[/C][C]-0.020168[/C][C]-0.23[/C][C]0.409246[/C][/ROW]
[ROW][C]30[/C][C]0.02833[/C][C]0.323[/C][C]0.373602[/C][/ROW]
[ROW][C]31[/C][C]0.079135[/C][C]0.9023[/C][C]0.184288[/C][/ROW]
[ROW][C]32[/C][C]0.0312[/C][C]0.3557[/C][C]0.361307[/C][/ROW]
[ROW][C]33[/C][C]-0.051802[/C][C]-0.5906[/C][C]0.277896[/C][/ROW]
[ROW][C]34[/C][C]-0.057749[/C][C]-0.6584[/C][C]0.255709[/C][/ROW]
[ROW][C]35[/C][C]-0.030614[/C][C]-0.3491[/C][C]0.363806[/C][/ROW]
[ROW][C]36[/C][C]0.004042[/C][C]0.0461[/C][C]0.481657[/C][/ROW]
[ROW][C]37[/C][C]0.186209[/C][C]2.1231[/C][C]0.01782[/C][/ROW]
[ROW][C]38[/C][C]0.08129[/C][C]0.9268[/C][C]0.177861[/C][/ROW]
[ROW][C]39[/C][C]0.033078[/C][C]0.3771[/C][C]0.353339[/C][/ROW]
[ROW][C]40[/C][C]-0.049878[/C][C]-0.5687[/C][C]0.285273[/C][/ROW]
[ROW][C]41[/C][C]-0.098736[/C][C]-1.1258[/C][C]0.13117[/C][/ROW]
[ROW][C]42[/C][C]-0.069617[/C][C]-0.7938[/C][C]0.214393[/C][/ROW]
[ROW][C]43[/C][C]-0.055678[/C][C]-0.6348[/C][C]0.26333[/C][/ROW]
[ROW][C]44[/C][C]-0.029096[/C][C]-0.3317[/C][C]0.370307[/C][/ROW]
[ROW][C]45[/C][C]0.101393[/C][C]1.1561[/C][C]0.124888[/C][/ROW]
[ROW][C]46[/C][C]0.096369[/C][C]1.0988[/C][C]0.136949[/C][/ROW]
[ROW][C]47[/C][C]0.021211[/C][C]0.2418[/C][C]0.404643[/C][/ROW]
[ROW][C]48[/C][C]0.015263[/C][C]0.174[/C][C]0.431057[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39969&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39969&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
10.2927193.33750.000551
2-0.038057-0.43390.332536
3-0.07538-0.85950.195835
4-0.07639-0.8710.192685
5-0.09032-1.02980.152507
6-0.046943-0.53520.296701
7-0.013348-0.15220.439634
80.0312280.35610.36119
9-0.033918-0.38670.349797
10-0.082776-0.94380.173514
11-0.017667-0.20140.420336
120.0718960.81970.206933
130.0461080.52570.299992
140.0523880.59730.275669
15-0.055345-0.6310.264563
16-0.102496-1.16860.122344
170.0710420.810.209708
180.1167721.33140.092693
190.0693440.79060.215295
200.061090.69650.24367
21-0.019374-0.22090.412758
22-0.057759-0.65850.255675
23-0.056785-0.64740.259242
24-0.091478-1.0430.14944
25-0.096964-1.10560.13548
26-0.063046-0.71880.236766
27-0.017639-0.20110.420459
28-0.024694-0.28160.389365
29-0.020168-0.230.409246
300.028330.3230.373602
310.0791350.90230.184288
320.03120.35570.361307
33-0.051802-0.59060.277896
34-0.057749-0.65840.255709
35-0.030614-0.34910.363806
360.0040420.04610.481657
370.1862092.12310.01782
380.081290.92680.177861
390.0330780.37710.353339
40-0.049878-0.56870.285273
41-0.098736-1.12580.13117
42-0.069617-0.79380.214393
43-0.055678-0.63480.26333
44-0.029096-0.33170.370307
450.1013931.15610.124888
460.0963691.09880.136949
470.0212110.24180.404643
480.0152630.1740.431057







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.2927193.33750.000551
2-0.135337-1.54310.062621
3-0.025754-0.29360.384749
4-0.054503-0.62140.267704
5-0.066786-0.76150.223875
6-0.012249-0.13970.444574
7-0.014637-0.16690.43386
80.0270490.30840.379132
9-0.071513-0.81540.208174
10-0.062762-0.71560.237764
110.0196850.22440.411381
120.0613560.69960.242724
13-0.003837-0.04380.482584
140.0424330.48380.314666
15-0.097397-1.11050.134418
16-0.05603-0.63880.262026
170.1447121.650.050681
180.0545690.62220.267456
190.0244030.27820.390635
200.0351820.40110.34449
21-0.045325-0.51680.303091
22-0.005993-0.06830.472811
23-0.002289-0.02610.48961
24-0.066506-0.75830.224826
25-0.08588-0.97920.164653
26-0.058212-0.66370.254024
270.0161150.18370.427254
28-0.029887-0.34080.366914
29-0.027883-0.31790.375529
300.018520.21120.416548
310.0117590.13410.446776
32-0.024281-0.27680.391168
33-0.027595-0.31460.376774
34-0.037781-0.43080.333673
35-0.026905-0.30680.379755
360.0188170.21460.415226
370.1995342.2750.01227
38-0.046213-0.52690.299577
390.0457210.52130.301521
40-0.065043-0.74160.229833
41-0.04617-0.52640.299748
420.0251250.28650.387485
43-0.027347-0.31180.377843
44-0.015097-0.17210.431803
450.1001861.14230.127716
460.0587440.66980.252091
470.0188960.21540.414878
480.0114260.13030.448274

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.292719 & 3.3375 & 0.000551 \tabularnewline
2 & -0.135337 & -1.5431 & 0.062621 \tabularnewline
3 & -0.025754 & -0.2936 & 0.384749 \tabularnewline
4 & -0.054503 & -0.6214 & 0.267704 \tabularnewline
5 & -0.066786 & -0.7615 & 0.223875 \tabularnewline
6 & -0.012249 & -0.1397 & 0.444574 \tabularnewline
7 & -0.014637 & -0.1669 & 0.43386 \tabularnewline
8 & 0.027049 & 0.3084 & 0.379132 \tabularnewline
9 & -0.071513 & -0.8154 & 0.208174 \tabularnewline
10 & -0.062762 & -0.7156 & 0.237764 \tabularnewline
11 & 0.019685 & 0.2244 & 0.411381 \tabularnewline
12 & 0.061356 & 0.6996 & 0.242724 \tabularnewline
13 & -0.003837 & -0.0438 & 0.482584 \tabularnewline
14 & 0.042433 & 0.4838 & 0.314666 \tabularnewline
15 & -0.097397 & -1.1105 & 0.134418 \tabularnewline
16 & -0.05603 & -0.6388 & 0.262026 \tabularnewline
17 & 0.144712 & 1.65 & 0.050681 \tabularnewline
18 & 0.054569 & 0.6222 & 0.267456 \tabularnewline
19 & 0.024403 & 0.2782 & 0.390635 \tabularnewline
20 & 0.035182 & 0.4011 & 0.34449 \tabularnewline
21 & -0.045325 & -0.5168 & 0.303091 \tabularnewline
22 & -0.005993 & -0.0683 & 0.472811 \tabularnewline
23 & -0.002289 & -0.0261 & 0.48961 \tabularnewline
24 & -0.066506 & -0.7583 & 0.224826 \tabularnewline
25 & -0.08588 & -0.9792 & 0.164653 \tabularnewline
26 & -0.058212 & -0.6637 & 0.254024 \tabularnewline
27 & 0.016115 & 0.1837 & 0.427254 \tabularnewline
28 & -0.029887 & -0.3408 & 0.366914 \tabularnewline
29 & -0.027883 & -0.3179 & 0.375529 \tabularnewline
30 & 0.01852 & 0.2112 & 0.416548 \tabularnewline
31 & 0.011759 & 0.1341 & 0.446776 \tabularnewline
32 & -0.024281 & -0.2768 & 0.391168 \tabularnewline
33 & -0.027595 & -0.3146 & 0.376774 \tabularnewline
34 & -0.037781 & -0.4308 & 0.333673 \tabularnewline
35 & -0.026905 & -0.3068 & 0.379755 \tabularnewline
36 & 0.018817 & 0.2146 & 0.415226 \tabularnewline
37 & 0.199534 & 2.275 & 0.01227 \tabularnewline
38 & -0.046213 & -0.5269 & 0.299577 \tabularnewline
39 & 0.045721 & 0.5213 & 0.301521 \tabularnewline
40 & -0.065043 & -0.7416 & 0.229833 \tabularnewline
41 & -0.04617 & -0.5264 & 0.299748 \tabularnewline
42 & 0.025125 & 0.2865 & 0.387485 \tabularnewline
43 & -0.027347 & -0.3118 & 0.377843 \tabularnewline
44 & -0.015097 & -0.1721 & 0.431803 \tabularnewline
45 & 0.100186 & 1.1423 & 0.127716 \tabularnewline
46 & 0.058744 & 0.6698 & 0.252091 \tabularnewline
47 & 0.018896 & 0.2154 & 0.414878 \tabularnewline
48 & 0.011426 & 0.1303 & 0.448274 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39969&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]0.292719[/C][C]3.3375[/C][C]0.000551[/C][/ROW]
[ROW][C]2[/C][C]-0.135337[/C][C]-1.5431[/C][C]0.062621[/C][/ROW]
[ROW][C]3[/C][C]-0.025754[/C][C]-0.2936[/C][C]0.384749[/C][/ROW]
[ROW][C]4[/C][C]-0.054503[/C][C]-0.6214[/C][C]0.267704[/C][/ROW]
[ROW][C]5[/C][C]-0.066786[/C][C]-0.7615[/C][C]0.223875[/C][/ROW]
[ROW][C]6[/C][C]-0.012249[/C][C]-0.1397[/C][C]0.444574[/C][/ROW]
[ROW][C]7[/C][C]-0.014637[/C][C]-0.1669[/C][C]0.43386[/C][/ROW]
[ROW][C]8[/C][C]0.027049[/C][C]0.3084[/C][C]0.379132[/C][/ROW]
[ROW][C]9[/C][C]-0.071513[/C][C]-0.8154[/C][C]0.208174[/C][/ROW]
[ROW][C]10[/C][C]-0.062762[/C][C]-0.7156[/C][C]0.237764[/C][/ROW]
[ROW][C]11[/C][C]0.019685[/C][C]0.2244[/C][C]0.411381[/C][/ROW]
[ROW][C]12[/C][C]0.061356[/C][C]0.6996[/C][C]0.242724[/C][/ROW]
[ROW][C]13[/C][C]-0.003837[/C][C]-0.0438[/C][C]0.482584[/C][/ROW]
[ROW][C]14[/C][C]0.042433[/C][C]0.4838[/C][C]0.314666[/C][/ROW]
[ROW][C]15[/C][C]-0.097397[/C][C]-1.1105[/C][C]0.134418[/C][/ROW]
[ROW][C]16[/C][C]-0.05603[/C][C]-0.6388[/C][C]0.262026[/C][/ROW]
[ROW][C]17[/C][C]0.144712[/C][C]1.65[/C][C]0.050681[/C][/ROW]
[ROW][C]18[/C][C]0.054569[/C][C]0.6222[/C][C]0.267456[/C][/ROW]
[ROW][C]19[/C][C]0.024403[/C][C]0.2782[/C][C]0.390635[/C][/ROW]
[ROW][C]20[/C][C]0.035182[/C][C]0.4011[/C][C]0.34449[/C][/ROW]
[ROW][C]21[/C][C]-0.045325[/C][C]-0.5168[/C][C]0.303091[/C][/ROW]
[ROW][C]22[/C][C]-0.005993[/C][C]-0.0683[/C][C]0.472811[/C][/ROW]
[ROW][C]23[/C][C]-0.002289[/C][C]-0.0261[/C][C]0.48961[/C][/ROW]
[ROW][C]24[/C][C]-0.066506[/C][C]-0.7583[/C][C]0.224826[/C][/ROW]
[ROW][C]25[/C][C]-0.08588[/C][C]-0.9792[/C][C]0.164653[/C][/ROW]
[ROW][C]26[/C][C]-0.058212[/C][C]-0.6637[/C][C]0.254024[/C][/ROW]
[ROW][C]27[/C][C]0.016115[/C][C]0.1837[/C][C]0.427254[/C][/ROW]
[ROW][C]28[/C][C]-0.029887[/C][C]-0.3408[/C][C]0.366914[/C][/ROW]
[ROW][C]29[/C][C]-0.027883[/C][C]-0.3179[/C][C]0.375529[/C][/ROW]
[ROW][C]30[/C][C]0.01852[/C][C]0.2112[/C][C]0.416548[/C][/ROW]
[ROW][C]31[/C][C]0.011759[/C][C]0.1341[/C][C]0.446776[/C][/ROW]
[ROW][C]32[/C][C]-0.024281[/C][C]-0.2768[/C][C]0.391168[/C][/ROW]
[ROW][C]33[/C][C]-0.027595[/C][C]-0.3146[/C][C]0.376774[/C][/ROW]
[ROW][C]34[/C][C]-0.037781[/C][C]-0.4308[/C][C]0.333673[/C][/ROW]
[ROW][C]35[/C][C]-0.026905[/C][C]-0.3068[/C][C]0.379755[/C][/ROW]
[ROW][C]36[/C][C]0.018817[/C][C]0.2146[/C][C]0.415226[/C][/ROW]
[ROW][C]37[/C][C]0.199534[/C][C]2.275[/C][C]0.01227[/C][/ROW]
[ROW][C]38[/C][C]-0.046213[/C][C]-0.5269[/C][C]0.299577[/C][/ROW]
[ROW][C]39[/C][C]0.045721[/C][C]0.5213[/C][C]0.301521[/C][/ROW]
[ROW][C]40[/C][C]-0.065043[/C][C]-0.7416[/C][C]0.229833[/C][/ROW]
[ROW][C]41[/C][C]-0.04617[/C][C]-0.5264[/C][C]0.299748[/C][/ROW]
[ROW][C]42[/C][C]0.025125[/C][C]0.2865[/C][C]0.387485[/C][/ROW]
[ROW][C]43[/C][C]-0.027347[/C][C]-0.3118[/C][C]0.377843[/C][/ROW]
[ROW][C]44[/C][C]-0.015097[/C][C]-0.1721[/C][C]0.431803[/C][/ROW]
[ROW][C]45[/C][C]0.100186[/C][C]1.1423[/C][C]0.127716[/C][/ROW]
[ROW][C]46[/C][C]0.058744[/C][C]0.6698[/C][C]0.252091[/C][/ROW]
[ROW][C]47[/C][C]0.018896[/C][C]0.2154[/C][C]0.414878[/C][/ROW]
[ROW][C]48[/C][C]0.011426[/C][C]0.1303[/C][C]0.448274[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39969&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39969&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
10.2927193.33750.000551
2-0.135337-1.54310.062621
3-0.025754-0.29360.384749
4-0.054503-0.62140.267704
5-0.066786-0.76150.223875
6-0.012249-0.13970.444574
7-0.014637-0.16690.43386
80.0270490.30840.379132
9-0.071513-0.81540.208174
10-0.062762-0.71560.237764
110.0196850.22440.411381
120.0613560.69960.242724
13-0.003837-0.04380.482584
140.0424330.48380.314666
15-0.097397-1.11050.134418
16-0.05603-0.63880.262026
170.1447121.650.050681
180.0545690.62220.267456
190.0244030.27820.390635
200.0351820.40110.34449
21-0.045325-0.51680.303091
22-0.005993-0.06830.472811
23-0.002289-0.02610.48961
24-0.066506-0.75830.224826
25-0.08588-0.97920.164653
26-0.058212-0.66370.254024
270.0161150.18370.427254
28-0.029887-0.34080.366914
29-0.027883-0.31790.375529
300.018520.21120.416548
310.0117590.13410.446776
32-0.024281-0.27680.391168
33-0.027595-0.31460.376774
34-0.037781-0.43080.333673
35-0.026905-0.30680.379755
360.0188170.21460.415226
370.1995342.2750.01227
38-0.046213-0.52690.299577
390.0457210.52130.301521
40-0.065043-0.74160.229833
41-0.04617-0.52640.299748
420.0251250.28650.387485
43-0.027347-0.31180.377843
44-0.015097-0.17210.431803
450.1001861.14230.127716
460.0587440.66980.252091
470.0188960.21540.414878
480.0114260.13030.448274



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 1 ; 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')