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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, 18 Dec 2008 03:41:32 -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/18/t12295969289fjujhp6lwce6pq.htm/, Retrieved Sat, 11 May 2024 07:59:45 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=34636, Retrieved Sat, 11 May 2024 07:59:45 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact170
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [] [2008-12-18 10:41:32] [e02910eed3830f1815f587e12f46cbdb] [Current]
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Dataseries X:
6,3
6,1
6,1
6,3
6,3
6
6,2
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




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34636&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34636&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34636&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'George Udny Yule' @ 72.249.76.132







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.3928743.04320.001736
2-0.135145-1.04680.149689
3-0.522766-4.04937.5e-05
4-0.432729-3.35190.000697
5-0.032609-0.25260.400726
60.2663652.06330.021712
70.0973430.7540.226894
8-0.189432-1.46730.073753
9-0.241908-1.87380.032914
10-0.093599-0.7250.23563
110.2071861.60490.056888
120.5426934.20374.4e-05
130.19071.47720.072431
14-0.063164-0.48930.313218
15-0.265399-2.05580.022082
16-0.246316-1.9080.030593
17-0.07808-0.60480.273795
180.1100850.85270.198605
190.0020530.01590.493682
20-0.072162-0.5590.289134
21-0.066969-0.51870.302926
220.0191430.14830.441311
230.129711.00470.159531
240.2623192.03190.023299
250.0353260.27360.392653
26-0.044928-0.3480.364526
27-0.10314-0.79890.213744
28-0.11878-0.92010.180611
29-0.076147-0.58980.278758
30-0.067633-0.52390.301145
31-0.071196-0.55150.291677
320.001630.01260.494983
330.1188410.92050.18049
340.1376211.0660.145346
350.0573670.44440.329189
360.028140.2180.414095
37-0.121558-0.94160.175091
38-0.027597-0.21380.415729
39-0.01244-0.09640.461779
400.0138890.10760.457343
41-0.012017-0.09310.463074
42-0.047585-0.36860.356866
43-0.043599-0.33770.368378
44-0.005193-0.04020.484023
450.0591790.45840.324162
460.0426330.33020.371187
470.0167270.12960.448671
48-0.019746-0.1530.439474
49-0.055616-0.43080.334079
50-0.002415-0.01870.492567
510.0236110.18290.42775
520.0269930.20910.417545
53-0.00465-0.0360.485694
54-0.009118-0.07060.471963
55-0.012077-0.09360.462889
560.0136470.10570.458082
570.0085750.06640.473632
58-0.00314-0.02430.490338
59-0.005797-0.04490.482166
60NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.392874 & 3.0432 & 0.001736 \tabularnewline
2 & -0.135145 & -1.0468 & 0.149689 \tabularnewline
3 & -0.522766 & -4.0493 & 7.5e-05 \tabularnewline
4 & -0.432729 & -3.3519 & 0.000697 \tabularnewline
5 & -0.032609 & -0.2526 & 0.400726 \tabularnewline
6 & 0.266365 & 2.0633 & 0.021712 \tabularnewline
7 & 0.097343 & 0.754 & 0.226894 \tabularnewline
8 & -0.189432 & -1.4673 & 0.073753 \tabularnewline
9 & -0.241908 & -1.8738 & 0.032914 \tabularnewline
10 & -0.093599 & -0.725 & 0.23563 \tabularnewline
11 & 0.207186 & 1.6049 & 0.056888 \tabularnewline
12 & 0.542693 & 4.2037 & 4.4e-05 \tabularnewline
13 & 0.1907 & 1.4772 & 0.072431 \tabularnewline
14 & -0.063164 & -0.4893 & 0.313218 \tabularnewline
15 & -0.265399 & -2.0558 & 0.022082 \tabularnewline
16 & -0.246316 & -1.908 & 0.030593 \tabularnewline
17 & -0.07808 & -0.6048 & 0.273795 \tabularnewline
18 & 0.110085 & 0.8527 & 0.198605 \tabularnewline
19 & 0.002053 & 0.0159 & 0.493682 \tabularnewline
20 & -0.072162 & -0.559 & 0.289134 \tabularnewline
21 & -0.066969 & -0.5187 & 0.302926 \tabularnewline
22 & 0.019143 & 0.1483 & 0.441311 \tabularnewline
23 & 0.12971 & 1.0047 & 0.159531 \tabularnewline
24 & 0.262319 & 2.0319 & 0.023299 \tabularnewline
25 & 0.035326 & 0.2736 & 0.392653 \tabularnewline
26 & -0.044928 & -0.348 & 0.364526 \tabularnewline
27 & -0.10314 & -0.7989 & 0.213744 \tabularnewline
28 & -0.11878 & -0.9201 & 0.180611 \tabularnewline
29 & -0.076147 & -0.5898 & 0.278758 \tabularnewline
30 & -0.067633 & -0.5239 & 0.301145 \tabularnewline
31 & -0.071196 & -0.5515 & 0.291677 \tabularnewline
32 & 0.00163 & 0.0126 & 0.494983 \tabularnewline
33 & 0.118841 & 0.9205 & 0.18049 \tabularnewline
34 & 0.137621 & 1.066 & 0.145346 \tabularnewline
35 & 0.057367 & 0.4444 & 0.329189 \tabularnewline
36 & 0.02814 & 0.218 & 0.414095 \tabularnewline
37 & -0.121558 & -0.9416 & 0.175091 \tabularnewline
38 & -0.027597 & -0.2138 & 0.415729 \tabularnewline
39 & -0.01244 & -0.0964 & 0.461779 \tabularnewline
40 & 0.013889 & 0.1076 & 0.457343 \tabularnewline
41 & -0.012017 & -0.0931 & 0.463074 \tabularnewline
42 & -0.047585 & -0.3686 & 0.356866 \tabularnewline
43 & -0.043599 & -0.3377 & 0.368378 \tabularnewline
44 & -0.005193 & -0.0402 & 0.484023 \tabularnewline
45 & 0.059179 & 0.4584 & 0.324162 \tabularnewline
46 & 0.042633 & 0.3302 & 0.371187 \tabularnewline
47 & 0.016727 & 0.1296 & 0.448671 \tabularnewline
48 & -0.019746 & -0.153 & 0.439474 \tabularnewline
49 & -0.055616 & -0.4308 & 0.334079 \tabularnewline
50 & -0.002415 & -0.0187 & 0.492567 \tabularnewline
51 & 0.023611 & 0.1829 & 0.42775 \tabularnewline
52 & 0.026993 & 0.2091 & 0.417545 \tabularnewline
53 & -0.00465 & -0.036 & 0.485694 \tabularnewline
54 & -0.009118 & -0.0706 & 0.471963 \tabularnewline
55 & -0.012077 & -0.0936 & 0.462889 \tabularnewline
56 & 0.013647 & 0.1057 & 0.458082 \tabularnewline
57 & 0.008575 & 0.0664 & 0.473632 \tabularnewline
58 & -0.00314 & -0.0243 & 0.490338 \tabularnewline
59 & -0.005797 & -0.0449 & 0.482166 \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34636&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]0.392874[/C][C]3.0432[/C][C]0.001736[/C][/ROW]
[ROW][C]2[/C][C]-0.135145[/C][C]-1.0468[/C][C]0.149689[/C][/ROW]
[ROW][C]3[/C][C]-0.522766[/C][C]-4.0493[/C][C]7.5e-05[/C][/ROW]
[ROW][C]4[/C][C]-0.432729[/C][C]-3.3519[/C][C]0.000697[/C][/ROW]
[ROW][C]5[/C][C]-0.032609[/C][C]-0.2526[/C][C]0.400726[/C][/ROW]
[ROW][C]6[/C][C]0.266365[/C][C]2.0633[/C][C]0.021712[/C][/ROW]
[ROW][C]7[/C][C]0.097343[/C][C]0.754[/C][C]0.226894[/C][/ROW]
[ROW][C]8[/C][C]-0.189432[/C][C]-1.4673[/C][C]0.073753[/C][/ROW]
[ROW][C]9[/C][C]-0.241908[/C][C]-1.8738[/C][C]0.032914[/C][/ROW]
[ROW][C]10[/C][C]-0.093599[/C][C]-0.725[/C][C]0.23563[/C][/ROW]
[ROW][C]11[/C][C]0.207186[/C][C]1.6049[/C][C]0.056888[/C][/ROW]
[ROW][C]12[/C][C]0.542693[/C][C]4.2037[/C][C]4.4e-05[/C][/ROW]
[ROW][C]13[/C][C]0.1907[/C][C]1.4772[/C][C]0.072431[/C][/ROW]
[ROW][C]14[/C][C]-0.063164[/C][C]-0.4893[/C][C]0.313218[/C][/ROW]
[ROW][C]15[/C][C]-0.265399[/C][C]-2.0558[/C][C]0.022082[/C][/ROW]
[ROW][C]16[/C][C]-0.246316[/C][C]-1.908[/C][C]0.030593[/C][/ROW]
[ROW][C]17[/C][C]-0.07808[/C][C]-0.6048[/C][C]0.273795[/C][/ROW]
[ROW][C]18[/C][C]0.110085[/C][C]0.8527[/C][C]0.198605[/C][/ROW]
[ROW][C]19[/C][C]0.002053[/C][C]0.0159[/C][C]0.493682[/C][/ROW]
[ROW][C]20[/C][C]-0.072162[/C][C]-0.559[/C][C]0.289134[/C][/ROW]
[ROW][C]21[/C][C]-0.066969[/C][C]-0.5187[/C][C]0.302926[/C][/ROW]
[ROW][C]22[/C][C]0.019143[/C][C]0.1483[/C][C]0.441311[/C][/ROW]
[ROW][C]23[/C][C]0.12971[/C][C]1.0047[/C][C]0.159531[/C][/ROW]
[ROW][C]24[/C][C]0.262319[/C][C]2.0319[/C][C]0.023299[/C][/ROW]
[ROW][C]25[/C][C]0.035326[/C][C]0.2736[/C][C]0.392653[/C][/ROW]
[ROW][C]26[/C][C]-0.044928[/C][C]-0.348[/C][C]0.364526[/C][/ROW]
[ROW][C]27[/C][C]-0.10314[/C][C]-0.7989[/C][C]0.213744[/C][/ROW]
[ROW][C]28[/C][C]-0.11878[/C][C]-0.9201[/C][C]0.180611[/C][/ROW]
[ROW][C]29[/C][C]-0.076147[/C][C]-0.5898[/C][C]0.278758[/C][/ROW]
[ROW][C]30[/C][C]-0.067633[/C][C]-0.5239[/C][C]0.301145[/C][/ROW]
[ROW][C]31[/C][C]-0.071196[/C][C]-0.5515[/C][C]0.291677[/C][/ROW]
[ROW][C]32[/C][C]0.00163[/C][C]0.0126[/C][C]0.494983[/C][/ROW]
[ROW][C]33[/C][C]0.118841[/C][C]0.9205[/C][C]0.18049[/C][/ROW]
[ROW][C]34[/C][C]0.137621[/C][C]1.066[/C][C]0.145346[/C][/ROW]
[ROW][C]35[/C][C]0.057367[/C][C]0.4444[/C][C]0.329189[/C][/ROW]
[ROW][C]36[/C][C]0.02814[/C][C]0.218[/C][C]0.414095[/C][/ROW]
[ROW][C]37[/C][C]-0.121558[/C][C]-0.9416[/C][C]0.175091[/C][/ROW]
[ROW][C]38[/C][C]-0.027597[/C][C]-0.2138[/C][C]0.415729[/C][/ROW]
[ROW][C]39[/C][C]-0.01244[/C][C]-0.0964[/C][C]0.461779[/C][/ROW]
[ROW][C]40[/C][C]0.013889[/C][C]0.1076[/C][C]0.457343[/C][/ROW]
[ROW][C]41[/C][C]-0.012017[/C][C]-0.0931[/C][C]0.463074[/C][/ROW]
[ROW][C]42[/C][C]-0.047585[/C][C]-0.3686[/C][C]0.356866[/C][/ROW]
[ROW][C]43[/C][C]-0.043599[/C][C]-0.3377[/C][C]0.368378[/C][/ROW]
[ROW][C]44[/C][C]-0.005193[/C][C]-0.0402[/C][C]0.484023[/C][/ROW]
[ROW][C]45[/C][C]0.059179[/C][C]0.4584[/C][C]0.324162[/C][/ROW]
[ROW][C]46[/C][C]0.042633[/C][C]0.3302[/C][C]0.371187[/C][/ROW]
[ROW][C]47[/C][C]0.016727[/C][C]0.1296[/C][C]0.448671[/C][/ROW]
[ROW][C]48[/C][C]-0.019746[/C][C]-0.153[/C][C]0.439474[/C][/ROW]
[ROW][C]49[/C][C]-0.055616[/C][C]-0.4308[/C][C]0.334079[/C][/ROW]
[ROW][C]50[/C][C]-0.002415[/C][C]-0.0187[/C][C]0.492567[/C][/ROW]
[ROW][C]51[/C][C]0.023611[/C][C]0.1829[/C][C]0.42775[/C][/ROW]
[ROW][C]52[/C][C]0.026993[/C][C]0.2091[/C][C]0.417545[/C][/ROW]
[ROW][C]53[/C][C]-0.00465[/C][C]-0.036[/C][C]0.485694[/C][/ROW]
[ROW][C]54[/C][C]-0.009118[/C][C]-0.0706[/C][C]0.471963[/C][/ROW]
[ROW][C]55[/C][C]-0.012077[/C][C]-0.0936[/C][C]0.462889[/C][/ROW]
[ROW][C]56[/C][C]0.013647[/C][C]0.1057[/C][C]0.458082[/C][/ROW]
[ROW][C]57[/C][C]0.008575[/C][C]0.0664[/C][C]0.473632[/C][/ROW]
[ROW][C]58[/C][C]-0.00314[/C][C]-0.0243[/C][C]0.490338[/C][/ROW]
[ROW][C]59[/C][C]-0.005797[/C][C]-0.0449[/C][C]0.482166[/C][/ROW]
[ROW][C]60[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34636&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34636&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
10.3928743.04320.001736
2-0.135145-1.04680.149689
3-0.522766-4.04937.5e-05
4-0.432729-3.35190.000697
5-0.032609-0.25260.400726
60.2663652.06330.021712
70.0973430.7540.226894
8-0.189432-1.46730.073753
9-0.241908-1.87380.032914
10-0.093599-0.7250.23563
110.2071861.60490.056888
120.5426934.20374.4e-05
130.19071.47720.072431
14-0.063164-0.48930.313218
15-0.265399-2.05580.022082
16-0.246316-1.9080.030593
17-0.07808-0.60480.273795
180.1100850.85270.198605
190.0020530.01590.493682
20-0.072162-0.5590.289134
21-0.066969-0.51870.302926
220.0191430.14830.441311
230.129711.00470.159531
240.2623192.03190.023299
250.0353260.27360.392653
26-0.044928-0.3480.364526
27-0.10314-0.79890.213744
28-0.11878-0.92010.180611
29-0.076147-0.58980.278758
30-0.067633-0.52390.301145
31-0.071196-0.55150.291677
320.001630.01260.494983
330.1188410.92050.18049
340.1376211.0660.145346
350.0573670.44440.329189
360.028140.2180.414095
37-0.121558-0.94160.175091
38-0.027597-0.21380.415729
39-0.01244-0.09640.461779
400.0138890.10760.457343
41-0.012017-0.09310.463074
42-0.047585-0.36860.356866
43-0.043599-0.33770.368378
44-0.005193-0.04020.484023
450.0591790.45840.324162
460.0426330.33020.371187
470.0167270.12960.448671
48-0.019746-0.1530.439474
49-0.055616-0.43080.334079
50-0.002415-0.01870.492567
510.0236110.18290.42775
520.0269930.20910.417545
53-0.00465-0.0360.485694
54-0.009118-0.07060.471963
55-0.012077-0.09360.462889
560.0136470.10570.458082
570.0085750.06640.473632
58-0.00314-0.02430.490338
59-0.005797-0.04490.482166
60NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.3928743.04320.001736
2-0.342335-2.65170.005115
3-0.424622-3.28910.000842
4-0.13434-1.04060.15112
50.0667820.51730.303428
6-0.013146-0.10180.459617
7-0.372413-2.88470.002717
8-0.317589-2.460.008395
9-0.024549-0.19020.424914
10-0.118638-0.9190.180897
11-0.14626-1.13290.130877
120.3677572.84860.003003
13-0.229565-1.77820.040219
140.1186920.91940.180788
150.2293561.77660.040353
160.0176350.13660.445901
17-0.076873-0.59550.276889
180.089090.69010.246399
190.0022020.01710.493223
200.0264270.20470.419249
21-0.085744-0.66420.254563
220.1101510.85320.198465
23-0.027245-0.2110.416786
24-0.092306-0.7150.238692
250.0207770.16090.436342
260.0773310.5990.275712
27-0.034025-0.26360.396513
28-0.069238-0.53630.296863
290.0085640.06630.473664
30-0.212364-1.6450.052603
310.0372560.28860.386947
32-0.007866-0.06090.475809
33-0.017096-0.13240.447544
34-0.074522-0.57720.282967
35-0.07961-0.61670.269897
360.0030760.02380.490536
37-0.07768-0.60170.274818
38-0.054935-0.42550.335989
39-0.092738-0.71830.237665
400.006190.04790.48096
410.0223230.17290.431652
420.0721960.55920.289044
430.0308030.23860.406113
44-0.022504-0.17430.431101
45-0.020333-0.15750.437692
46-0.004263-0.0330.486885
470.0068140.05280.479041
48-0.095105-0.73670.232094
490.0056440.04370.482637
50-0.077576-0.60090.275084
510.0336120.26040.397739
52-0.055285-0.42820.335008
53-0.041952-0.3250.373172
540.0806210.62450.267337
55-0.033759-0.26150.397303
56-0.040589-0.31440.377153
570.0382520.29630.384013
580.027950.21650.414667
590.0315490.24440.403885
60NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.392874 & 3.0432 & 0.001736 \tabularnewline
2 & -0.342335 & -2.6517 & 0.005115 \tabularnewline
3 & -0.424622 & -3.2891 & 0.000842 \tabularnewline
4 & -0.13434 & -1.0406 & 0.15112 \tabularnewline
5 & 0.066782 & 0.5173 & 0.303428 \tabularnewline
6 & -0.013146 & -0.1018 & 0.459617 \tabularnewline
7 & -0.372413 & -2.8847 & 0.002717 \tabularnewline
8 & -0.317589 & -2.46 & 0.008395 \tabularnewline
9 & -0.024549 & -0.1902 & 0.424914 \tabularnewline
10 & -0.118638 & -0.919 & 0.180897 \tabularnewline
11 & -0.14626 & -1.1329 & 0.130877 \tabularnewline
12 & 0.367757 & 2.8486 & 0.003003 \tabularnewline
13 & -0.229565 & -1.7782 & 0.040219 \tabularnewline
14 & 0.118692 & 0.9194 & 0.180788 \tabularnewline
15 & 0.229356 & 1.7766 & 0.040353 \tabularnewline
16 & 0.017635 & 0.1366 & 0.445901 \tabularnewline
17 & -0.076873 & -0.5955 & 0.276889 \tabularnewline
18 & 0.08909 & 0.6901 & 0.246399 \tabularnewline
19 & 0.002202 & 0.0171 & 0.493223 \tabularnewline
20 & 0.026427 & 0.2047 & 0.419249 \tabularnewline
21 & -0.085744 & -0.6642 & 0.254563 \tabularnewline
22 & 0.110151 & 0.8532 & 0.198465 \tabularnewline
23 & -0.027245 & -0.211 & 0.416786 \tabularnewline
24 & -0.092306 & -0.715 & 0.238692 \tabularnewline
25 & 0.020777 & 0.1609 & 0.436342 \tabularnewline
26 & 0.077331 & 0.599 & 0.275712 \tabularnewline
27 & -0.034025 & -0.2636 & 0.396513 \tabularnewline
28 & -0.069238 & -0.5363 & 0.296863 \tabularnewline
29 & 0.008564 & 0.0663 & 0.473664 \tabularnewline
30 & -0.212364 & -1.645 & 0.052603 \tabularnewline
31 & 0.037256 & 0.2886 & 0.386947 \tabularnewline
32 & -0.007866 & -0.0609 & 0.475809 \tabularnewline
33 & -0.017096 & -0.1324 & 0.447544 \tabularnewline
34 & -0.074522 & -0.5772 & 0.282967 \tabularnewline
35 & -0.07961 & -0.6167 & 0.269897 \tabularnewline
36 & 0.003076 & 0.0238 & 0.490536 \tabularnewline
37 & -0.07768 & -0.6017 & 0.274818 \tabularnewline
38 & -0.054935 & -0.4255 & 0.335989 \tabularnewline
39 & -0.092738 & -0.7183 & 0.237665 \tabularnewline
40 & 0.00619 & 0.0479 & 0.48096 \tabularnewline
41 & 0.022323 & 0.1729 & 0.431652 \tabularnewline
42 & 0.072196 & 0.5592 & 0.289044 \tabularnewline
43 & 0.030803 & 0.2386 & 0.406113 \tabularnewline
44 & -0.022504 & -0.1743 & 0.431101 \tabularnewline
45 & -0.020333 & -0.1575 & 0.437692 \tabularnewline
46 & -0.004263 & -0.033 & 0.486885 \tabularnewline
47 & 0.006814 & 0.0528 & 0.479041 \tabularnewline
48 & -0.095105 & -0.7367 & 0.232094 \tabularnewline
49 & 0.005644 & 0.0437 & 0.482637 \tabularnewline
50 & -0.077576 & -0.6009 & 0.275084 \tabularnewline
51 & 0.033612 & 0.2604 & 0.397739 \tabularnewline
52 & -0.055285 & -0.4282 & 0.335008 \tabularnewline
53 & -0.041952 & -0.325 & 0.373172 \tabularnewline
54 & 0.080621 & 0.6245 & 0.267337 \tabularnewline
55 & -0.033759 & -0.2615 & 0.397303 \tabularnewline
56 & -0.040589 & -0.3144 & 0.377153 \tabularnewline
57 & 0.038252 & 0.2963 & 0.384013 \tabularnewline
58 & 0.02795 & 0.2165 & 0.414667 \tabularnewline
59 & 0.031549 & 0.2444 & 0.403885 \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34636&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]0.392874[/C][C]3.0432[/C][C]0.001736[/C][/ROW]
[ROW][C]2[/C][C]-0.342335[/C][C]-2.6517[/C][C]0.005115[/C][/ROW]
[ROW][C]3[/C][C]-0.424622[/C][C]-3.2891[/C][C]0.000842[/C][/ROW]
[ROW][C]4[/C][C]-0.13434[/C][C]-1.0406[/C][C]0.15112[/C][/ROW]
[ROW][C]5[/C][C]0.066782[/C][C]0.5173[/C][C]0.303428[/C][/ROW]
[ROW][C]6[/C][C]-0.013146[/C][C]-0.1018[/C][C]0.459617[/C][/ROW]
[ROW][C]7[/C][C]-0.372413[/C][C]-2.8847[/C][C]0.002717[/C][/ROW]
[ROW][C]8[/C][C]-0.317589[/C][C]-2.46[/C][C]0.008395[/C][/ROW]
[ROW][C]9[/C][C]-0.024549[/C][C]-0.1902[/C][C]0.424914[/C][/ROW]
[ROW][C]10[/C][C]-0.118638[/C][C]-0.919[/C][C]0.180897[/C][/ROW]
[ROW][C]11[/C][C]-0.14626[/C][C]-1.1329[/C][C]0.130877[/C][/ROW]
[ROW][C]12[/C][C]0.367757[/C][C]2.8486[/C][C]0.003003[/C][/ROW]
[ROW][C]13[/C][C]-0.229565[/C][C]-1.7782[/C][C]0.040219[/C][/ROW]
[ROW][C]14[/C][C]0.118692[/C][C]0.9194[/C][C]0.180788[/C][/ROW]
[ROW][C]15[/C][C]0.229356[/C][C]1.7766[/C][C]0.040353[/C][/ROW]
[ROW][C]16[/C][C]0.017635[/C][C]0.1366[/C][C]0.445901[/C][/ROW]
[ROW][C]17[/C][C]-0.076873[/C][C]-0.5955[/C][C]0.276889[/C][/ROW]
[ROW][C]18[/C][C]0.08909[/C][C]0.6901[/C][C]0.246399[/C][/ROW]
[ROW][C]19[/C][C]0.002202[/C][C]0.0171[/C][C]0.493223[/C][/ROW]
[ROW][C]20[/C][C]0.026427[/C][C]0.2047[/C][C]0.419249[/C][/ROW]
[ROW][C]21[/C][C]-0.085744[/C][C]-0.6642[/C][C]0.254563[/C][/ROW]
[ROW][C]22[/C][C]0.110151[/C][C]0.8532[/C][C]0.198465[/C][/ROW]
[ROW][C]23[/C][C]-0.027245[/C][C]-0.211[/C][C]0.416786[/C][/ROW]
[ROW][C]24[/C][C]-0.092306[/C][C]-0.715[/C][C]0.238692[/C][/ROW]
[ROW][C]25[/C][C]0.020777[/C][C]0.1609[/C][C]0.436342[/C][/ROW]
[ROW][C]26[/C][C]0.077331[/C][C]0.599[/C][C]0.275712[/C][/ROW]
[ROW][C]27[/C][C]-0.034025[/C][C]-0.2636[/C][C]0.396513[/C][/ROW]
[ROW][C]28[/C][C]-0.069238[/C][C]-0.5363[/C][C]0.296863[/C][/ROW]
[ROW][C]29[/C][C]0.008564[/C][C]0.0663[/C][C]0.473664[/C][/ROW]
[ROW][C]30[/C][C]-0.212364[/C][C]-1.645[/C][C]0.052603[/C][/ROW]
[ROW][C]31[/C][C]0.037256[/C][C]0.2886[/C][C]0.386947[/C][/ROW]
[ROW][C]32[/C][C]-0.007866[/C][C]-0.0609[/C][C]0.475809[/C][/ROW]
[ROW][C]33[/C][C]-0.017096[/C][C]-0.1324[/C][C]0.447544[/C][/ROW]
[ROW][C]34[/C][C]-0.074522[/C][C]-0.5772[/C][C]0.282967[/C][/ROW]
[ROW][C]35[/C][C]-0.07961[/C][C]-0.6167[/C][C]0.269897[/C][/ROW]
[ROW][C]36[/C][C]0.003076[/C][C]0.0238[/C][C]0.490536[/C][/ROW]
[ROW][C]37[/C][C]-0.07768[/C][C]-0.6017[/C][C]0.274818[/C][/ROW]
[ROW][C]38[/C][C]-0.054935[/C][C]-0.4255[/C][C]0.335989[/C][/ROW]
[ROW][C]39[/C][C]-0.092738[/C][C]-0.7183[/C][C]0.237665[/C][/ROW]
[ROW][C]40[/C][C]0.00619[/C][C]0.0479[/C][C]0.48096[/C][/ROW]
[ROW][C]41[/C][C]0.022323[/C][C]0.1729[/C][C]0.431652[/C][/ROW]
[ROW][C]42[/C][C]0.072196[/C][C]0.5592[/C][C]0.289044[/C][/ROW]
[ROW][C]43[/C][C]0.030803[/C][C]0.2386[/C][C]0.406113[/C][/ROW]
[ROW][C]44[/C][C]-0.022504[/C][C]-0.1743[/C][C]0.431101[/C][/ROW]
[ROW][C]45[/C][C]-0.020333[/C][C]-0.1575[/C][C]0.437692[/C][/ROW]
[ROW][C]46[/C][C]-0.004263[/C][C]-0.033[/C][C]0.486885[/C][/ROW]
[ROW][C]47[/C][C]0.006814[/C][C]0.0528[/C][C]0.479041[/C][/ROW]
[ROW][C]48[/C][C]-0.095105[/C][C]-0.7367[/C][C]0.232094[/C][/ROW]
[ROW][C]49[/C][C]0.005644[/C][C]0.0437[/C][C]0.482637[/C][/ROW]
[ROW][C]50[/C][C]-0.077576[/C][C]-0.6009[/C][C]0.275084[/C][/ROW]
[ROW][C]51[/C][C]0.033612[/C][C]0.2604[/C][C]0.397739[/C][/ROW]
[ROW][C]52[/C][C]-0.055285[/C][C]-0.4282[/C][C]0.335008[/C][/ROW]
[ROW][C]53[/C][C]-0.041952[/C][C]-0.325[/C][C]0.373172[/C][/ROW]
[ROW][C]54[/C][C]0.080621[/C][C]0.6245[/C][C]0.267337[/C][/ROW]
[ROW][C]55[/C][C]-0.033759[/C][C]-0.2615[/C][C]0.397303[/C][/ROW]
[ROW][C]56[/C][C]-0.040589[/C][C]-0.3144[/C][C]0.377153[/C][/ROW]
[ROW][C]57[/C][C]0.038252[/C][C]0.2963[/C][C]0.384013[/C][/ROW]
[ROW][C]58[/C][C]0.02795[/C][C]0.2165[/C][C]0.414667[/C][/ROW]
[ROW][C]59[/C][C]0.031549[/C][C]0.2444[/C][C]0.403885[/C][/ROW]
[ROW][C]60[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34636&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34636&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
10.3928743.04320.001736
2-0.342335-2.65170.005115
3-0.424622-3.28910.000842
4-0.13434-1.04060.15112
50.0667820.51730.303428
6-0.013146-0.10180.459617
7-0.372413-2.88470.002717
8-0.317589-2.460.008395
9-0.024549-0.19020.424914
10-0.118638-0.9190.180897
11-0.14626-1.13290.130877
120.3677572.84860.003003
13-0.229565-1.77820.040219
140.1186920.91940.180788
150.2293561.77660.040353
160.0176350.13660.445901
17-0.076873-0.59550.276889
180.089090.69010.246399
190.0022020.01710.493223
200.0264270.20470.419249
21-0.085744-0.66420.254563
220.1101510.85320.198465
23-0.027245-0.2110.416786
24-0.092306-0.7150.238692
250.0207770.16090.436342
260.0773310.5990.275712
27-0.034025-0.26360.396513
28-0.069238-0.53630.296863
290.0085640.06630.473664
30-0.212364-1.6450.052603
310.0372560.28860.386947
32-0.007866-0.06090.475809
33-0.017096-0.13240.447544
34-0.074522-0.57720.282967
35-0.07961-0.61670.269897
360.0030760.02380.490536
37-0.07768-0.60170.274818
38-0.054935-0.42550.335989
39-0.092738-0.71830.237665
400.006190.04790.48096
410.0223230.17290.431652
420.0721960.55920.289044
430.0308030.23860.406113
44-0.022504-0.17430.431101
45-0.020333-0.15750.437692
46-0.004263-0.0330.486885
470.0068140.05280.479041
48-0.095105-0.73670.232094
490.0056440.04370.482637
50-0.077576-0.60090.275084
510.0336120.26040.397739
52-0.055285-0.42820.335008
53-0.041952-0.3250.373172
540.0806210.62450.267337
55-0.033759-0.26150.397303
56-0.040589-0.31440.377153
570.0382520.29630.384013
580.027950.21650.414667
590.0315490.24440.403885
60NANANA



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; 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')