Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationSat, 13 Dec 2008 09:20:45 -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/13/t1229185420nedug7h86ezsx81.htm/, Retrieved Fri, 17 May 2024 04:19:52 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=33178, Retrieved Fri, 17 May 2024 04:19:52 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact151
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] ["(§(yery] [2008-12-13 16:20:45] [a5ed2c45dea395ef181ba16fe56905d7] [Current]
Feedback Forum

Post a new message
Dataseries X:
554.79
562.33
560.85
555.33
543.6
536.66
542.72
593.53
610.76
612.61
611.32
594.17
595.45
590.87
589.38
584.43
573.1
567.46
569.03
620.74
628.88
628.23
612.12
595.4
597.14
593.41
590.07
579.8
574.21
572.78
572.94
619.57
625.81
619.92
587.63
565.74
557.27
560.58
548.85
531.67
525.92
511.04
498.66
555.36
564.59
541.66
527.07
509.85
514.26
516.92
507.56
492.62
490.24
469.36
477.58
528.38
533.59
517.95
506.17
501.87




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33178&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]2 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=33178&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33178&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 time2 seconds
R Server'George Udny Yule' @ 72.249.76.132







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.8850426.85550
20.7227425.59830
30.605584.69088e-06
40.5548374.29773.2e-05
50.5498024.25883.7e-05
60.5091533.94390.000106
70.4330083.35410.000692
80.3616692.80150.003419
90.3368752.60940.005717
100.367112.84360.003045
110.4309523.33810.000726
120.4391643.40170.000599
130.300352.32650.011693
140.1432711.10980.135763
150.0303770.23530.407387
16-0.015087-0.11690.453681
17-0.02922-0.22630.410853
18-0.082474-0.63880.262678
19-0.151827-1.1760.122111
20-0.214896-1.66460.050606
21-0.232126-1.7980.038601
22-0.203175-1.57380.060398
23-0.156536-1.21250.115033
24-0.150511-1.16590.124143
25-0.236841-1.83460.035765
26-0.332105-2.57250.006295
27-0.376243-2.91440.002501
28-0.370266-2.86810.002846
29-0.340966-2.64110.00526
30-0.341933-2.64860.005157
31-0.35907-2.78130.003612
32-0.373535-2.89340.002652
33-0.352236-2.72840.004168
34-0.304222-2.35650.010866
35-0.245507-1.90170.031008
36-0.20757-1.60780.056561
37-0.236926-1.83520.035716
38-0.267643-2.07320.02123
39-0.261964-2.02920.023443
40-0.227624-1.76320.041482
41-0.185015-1.43310.078507
42-0.176953-1.37070.087791
43-0.181925-1.40920.081972
44-0.177554-1.37530.087072
45-0.148701-1.15180.126979
46-0.110965-0.85950.196734
47-0.068168-0.5280.299715
48-0.039992-0.30980.378903
49-0.042362-0.32810.371975
50-0.039069-0.30260.381611
51-0.021676-0.16790.433612
520.0078590.06090.475829
530.0341780.26470.396059
540.028330.21940.413523
550.0132970.1030.459153
560.0032680.02530.489943
570.0009920.00770.496947
580.0018310.01420.494367
590.0031910.02470.49018
60NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.885042 & 6.8555 & 0 \tabularnewline
2 & 0.722742 & 5.5983 & 0 \tabularnewline
3 & 0.60558 & 4.6908 & 8e-06 \tabularnewline
4 & 0.554837 & 4.2977 & 3.2e-05 \tabularnewline
5 & 0.549802 & 4.2588 & 3.7e-05 \tabularnewline
6 & 0.509153 & 3.9439 & 0.000106 \tabularnewline
7 & 0.433008 & 3.3541 & 0.000692 \tabularnewline
8 & 0.361669 & 2.8015 & 0.003419 \tabularnewline
9 & 0.336875 & 2.6094 & 0.005717 \tabularnewline
10 & 0.36711 & 2.8436 & 0.003045 \tabularnewline
11 & 0.430952 & 3.3381 & 0.000726 \tabularnewline
12 & 0.439164 & 3.4017 & 0.000599 \tabularnewline
13 & 0.30035 & 2.3265 & 0.011693 \tabularnewline
14 & 0.143271 & 1.1098 & 0.135763 \tabularnewline
15 & 0.030377 & 0.2353 & 0.407387 \tabularnewline
16 & -0.015087 & -0.1169 & 0.453681 \tabularnewline
17 & -0.02922 & -0.2263 & 0.410853 \tabularnewline
18 & -0.082474 & -0.6388 & 0.262678 \tabularnewline
19 & -0.151827 & -1.176 & 0.122111 \tabularnewline
20 & -0.214896 & -1.6646 & 0.050606 \tabularnewline
21 & -0.232126 & -1.798 & 0.038601 \tabularnewline
22 & -0.203175 & -1.5738 & 0.060398 \tabularnewline
23 & -0.156536 & -1.2125 & 0.115033 \tabularnewline
24 & -0.150511 & -1.1659 & 0.124143 \tabularnewline
25 & -0.236841 & -1.8346 & 0.035765 \tabularnewline
26 & -0.332105 & -2.5725 & 0.006295 \tabularnewline
27 & -0.376243 & -2.9144 & 0.002501 \tabularnewline
28 & -0.370266 & -2.8681 & 0.002846 \tabularnewline
29 & -0.340966 & -2.6411 & 0.00526 \tabularnewline
30 & -0.341933 & -2.6486 & 0.005157 \tabularnewline
31 & -0.35907 & -2.7813 & 0.003612 \tabularnewline
32 & -0.373535 & -2.8934 & 0.002652 \tabularnewline
33 & -0.352236 & -2.7284 & 0.004168 \tabularnewline
34 & -0.304222 & -2.3565 & 0.010866 \tabularnewline
35 & -0.245507 & -1.9017 & 0.031008 \tabularnewline
36 & -0.20757 & -1.6078 & 0.056561 \tabularnewline
37 & -0.236926 & -1.8352 & 0.035716 \tabularnewline
38 & -0.267643 & -2.0732 & 0.02123 \tabularnewline
39 & -0.261964 & -2.0292 & 0.023443 \tabularnewline
40 & -0.227624 & -1.7632 & 0.041482 \tabularnewline
41 & -0.185015 & -1.4331 & 0.078507 \tabularnewline
42 & -0.176953 & -1.3707 & 0.087791 \tabularnewline
43 & -0.181925 & -1.4092 & 0.081972 \tabularnewline
44 & -0.177554 & -1.3753 & 0.087072 \tabularnewline
45 & -0.148701 & -1.1518 & 0.126979 \tabularnewline
46 & -0.110965 & -0.8595 & 0.196734 \tabularnewline
47 & -0.068168 & -0.528 & 0.299715 \tabularnewline
48 & -0.039992 & -0.3098 & 0.378903 \tabularnewline
49 & -0.042362 & -0.3281 & 0.371975 \tabularnewline
50 & -0.039069 & -0.3026 & 0.381611 \tabularnewline
51 & -0.021676 & -0.1679 & 0.433612 \tabularnewline
52 & 0.007859 & 0.0609 & 0.475829 \tabularnewline
53 & 0.034178 & 0.2647 & 0.396059 \tabularnewline
54 & 0.02833 & 0.2194 & 0.413523 \tabularnewline
55 & 0.013297 & 0.103 & 0.459153 \tabularnewline
56 & 0.003268 & 0.0253 & 0.489943 \tabularnewline
57 & 0.000992 & 0.0077 & 0.496947 \tabularnewline
58 & 0.001831 & 0.0142 & 0.494367 \tabularnewline
59 & 0.003191 & 0.0247 & 0.49018 \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33178&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]0.885042[/C][C]6.8555[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.722742[/C][C]5.5983[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.60558[/C][C]4.6908[/C][C]8e-06[/C][/ROW]
[ROW][C]4[/C][C]0.554837[/C][C]4.2977[/C][C]3.2e-05[/C][/ROW]
[ROW][C]5[/C][C]0.549802[/C][C]4.2588[/C][C]3.7e-05[/C][/ROW]
[ROW][C]6[/C][C]0.509153[/C][C]3.9439[/C][C]0.000106[/C][/ROW]
[ROW][C]7[/C][C]0.433008[/C][C]3.3541[/C][C]0.000692[/C][/ROW]
[ROW][C]8[/C][C]0.361669[/C][C]2.8015[/C][C]0.003419[/C][/ROW]
[ROW][C]9[/C][C]0.336875[/C][C]2.6094[/C][C]0.005717[/C][/ROW]
[ROW][C]10[/C][C]0.36711[/C][C]2.8436[/C][C]0.003045[/C][/ROW]
[ROW][C]11[/C][C]0.430952[/C][C]3.3381[/C][C]0.000726[/C][/ROW]
[ROW][C]12[/C][C]0.439164[/C][C]3.4017[/C][C]0.000599[/C][/ROW]
[ROW][C]13[/C][C]0.30035[/C][C]2.3265[/C][C]0.011693[/C][/ROW]
[ROW][C]14[/C][C]0.143271[/C][C]1.1098[/C][C]0.135763[/C][/ROW]
[ROW][C]15[/C][C]0.030377[/C][C]0.2353[/C][C]0.407387[/C][/ROW]
[ROW][C]16[/C][C]-0.015087[/C][C]-0.1169[/C][C]0.453681[/C][/ROW]
[ROW][C]17[/C][C]-0.02922[/C][C]-0.2263[/C][C]0.410853[/C][/ROW]
[ROW][C]18[/C][C]-0.082474[/C][C]-0.6388[/C][C]0.262678[/C][/ROW]
[ROW][C]19[/C][C]-0.151827[/C][C]-1.176[/C][C]0.122111[/C][/ROW]
[ROW][C]20[/C][C]-0.214896[/C][C]-1.6646[/C][C]0.050606[/C][/ROW]
[ROW][C]21[/C][C]-0.232126[/C][C]-1.798[/C][C]0.038601[/C][/ROW]
[ROW][C]22[/C][C]-0.203175[/C][C]-1.5738[/C][C]0.060398[/C][/ROW]
[ROW][C]23[/C][C]-0.156536[/C][C]-1.2125[/C][C]0.115033[/C][/ROW]
[ROW][C]24[/C][C]-0.150511[/C][C]-1.1659[/C][C]0.124143[/C][/ROW]
[ROW][C]25[/C][C]-0.236841[/C][C]-1.8346[/C][C]0.035765[/C][/ROW]
[ROW][C]26[/C][C]-0.332105[/C][C]-2.5725[/C][C]0.006295[/C][/ROW]
[ROW][C]27[/C][C]-0.376243[/C][C]-2.9144[/C][C]0.002501[/C][/ROW]
[ROW][C]28[/C][C]-0.370266[/C][C]-2.8681[/C][C]0.002846[/C][/ROW]
[ROW][C]29[/C][C]-0.340966[/C][C]-2.6411[/C][C]0.00526[/C][/ROW]
[ROW][C]30[/C][C]-0.341933[/C][C]-2.6486[/C][C]0.005157[/C][/ROW]
[ROW][C]31[/C][C]-0.35907[/C][C]-2.7813[/C][C]0.003612[/C][/ROW]
[ROW][C]32[/C][C]-0.373535[/C][C]-2.8934[/C][C]0.002652[/C][/ROW]
[ROW][C]33[/C][C]-0.352236[/C][C]-2.7284[/C][C]0.004168[/C][/ROW]
[ROW][C]34[/C][C]-0.304222[/C][C]-2.3565[/C][C]0.010866[/C][/ROW]
[ROW][C]35[/C][C]-0.245507[/C][C]-1.9017[/C][C]0.031008[/C][/ROW]
[ROW][C]36[/C][C]-0.20757[/C][C]-1.6078[/C][C]0.056561[/C][/ROW]
[ROW][C]37[/C][C]-0.236926[/C][C]-1.8352[/C][C]0.035716[/C][/ROW]
[ROW][C]38[/C][C]-0.267643[/C][C]-2.0732[/C][C]0.02123[/C][/ROW]
[ROW][C]39[/C][C]-0.261964[/C][C]-2.0292[/C][C]0.023443[/C][/ROW]
[ROW][C]40[/C][C]-0.227624[/C][C]-1.7632[/C][C]0.041482[/C][/ROW]
[ROW][C]41[/C][C]-0.185015[/C][C]-1.4331[/C][C]0.078507[/C][/ROW]
[ROW][C]42[/C][C]-0.176953[/C][C]-1.3707[/C][C]0.087791[/C][/ROW]
[ROW][C]43[/C][C]-0.181925[/C][C]-1.4092[/C][C]0.081972[/C][/ROW]
[ROW][C]44[/C][C]-0.177554[/C][C]-1.3753[/C][C]0.087072[/C][/ROW]
[ROW][C]45[/C][C]-0.148701[/C][C]-1.1518[/C][C]0.126979[/C][/ROW]
[ROW][C]46[/C][C]-0.110965[/C][C]-0.8595[/C][C]0.196734[/C][/ROW]
[ROW][C]47[/C][C]-0.068168[/C][C]-0.528[/C][C]0.299715[/C][/ROW]
[ROW][C]48[/C][C]-0.039992[/C][C]-0.3098[/C][C]0.378903[/C][/ROW]
[ROW][C]49[/C][C]-0.042362[/C][C]-0.3281[/C][C]0.371975[/C][/ROW]
[ROW][C]50[/C][C]-0.039069[/C][C]-0.3026[/C][C]0.381611[/C][/ROW]
[ROW][C]51[/C][C]-0.021676[/C][C]-0.1679[/C][C]0.433612[/C][/ROW]
[ROW][C]52[/C][C]0.007859[/C][C]0.0609[/C][C]0.475829[/C][/ROW]
[ROW][C]53[/C][C]0.034178[/C][C]0.2647[/C][C]0.396059[/C][/ROW]
[ROW][C]54[/C][C]0.02833[/C][C]0.2194[/C][C]0.413523[/C][/ROW]
[ROW][C]55[/C][C]0.013297[/C][C]0.103[/C][C]0.459153[/C][/ROW]
[ROW][C]56[/C][C]0.003268[/C][C]0.0253[/C][C]0.489943[/C][/ROW]
[ROW][C]57[/C][C]0.000992[/C][C]0.0077[/C][C]0.496947[/C][/ROW]
[ROW][C]58[/C][C]0.001831[/C][C]0.0142[/C][C]0.494367[/C][/ROW]
[ROW][C]59[/C][C]0.003191[/C][C]0.0247[/C][C]0.49018[/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=33178&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33178&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
10.8850426.85550
20.7227425.59830
30.605584.69088e-06
40.5548374.29773.2e-05
50.5498024.25883.7e-05
60.5091533.94390.000106
70.4330083.35410.000692
80.3616692.80150.003419
90.3368752.60940.005717
100.367112.84360.003045
110.4309523.33810.000726
120.4391643.40170.000599
130.300352.32650.011693
140.1432711.10980.135763
150.0303770.23530.407387
16-0.015087-0.11690.453681
17-0.02922-0.22630.410853
18-0.082474-0.63880.262678
19-0.151827-1.1760.122111
20-0.214896-1.66460.050606
21-0.232126-1.7980.038601
22-0.203175-1.57380.060398
23-0.156536-1.21250.115033
24-0.150511-1.16590.124143
25-0.236841-1.83460.035765
26-0.332105-2.57250.006295
27-0.376243-2.91440.002501
28-0.370266-2.86810.002846
29-0.340966-2.64110.00526
30-0.341933-2.64860.005157
31-0.35907-2.78130.003612
32-0.373535-2.89340.002652
33-0.352236-2.72840.004168
34-0.304222-2.35650.010866
35-0.245507-1.90170.031008
36-0.20757-1.60780.056561
37-0.236926-1.83520.035716
38-0.267643-2.07320.02123
39-0.261964-2.02920.023443
40-0.227624-1.76320.041482
41-0.185015-1.43310.078507
42-0.176953-1.37070.087791
43-0.181925-1.40920.081972
44-0.177554-1.37530.087072
45-0.148701-1.15180.126979
46-0.110965-0.85950.196734
47-0.068168-0.5280.299715
48-0.039992-0.30980.378903
49-0.042362-0.32810.371975
50-0.039069-0.30260.381611
51-0.021676-0.16790.433612
520.0078590.06090.475829
530.0341780.26470.396059
540.028330.21940.413523
550.0132970.1030.459153
560.0032680.02530.489943
570.0009920.00770.496947
580.0018310.01420.494367
590.0031910.02470.49018
60NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.8850426.85550
2-0.279454-2.16460.017202
30.1726781.33760.093045
40.1565431.21260.115022
50.119470.92540.179229
6-0.18368-1.42280.079989
7-0.018087-0.14010.444523
80.040070.31040.378672
90.1245230.96450.169321
100.1206210.93430.17694
110.1892391.46580.073957
12-0.178134-1.37980.086381
13-0.582263-4.51021.5e-05
140.0692260.53620.296893
15-0.074474-0.57690.283092
16-0.041682-0.32290.373959
17-0.04601-0.35640.361398
180.0718260.55640.290017
190.0297070.23010.409396
20-0.175726-1.36120.089275
210.0414230.32090.374717
22-0.03012-0.23330.408158
23-0.046261-0.35830.360675
240.0432210.33480.369475
250.0158070.12240.451479
26-0.045843-0.35510.361879
270.0690930.53520.297247
28-0.078005-0.60420.273987
290.0701850.54360.294349
300.0036520.02830.488763
31-0.006806-0.05270.479066
32-0.045209-0.35020.363713
33-0.008845-0.06850.472802
34-0.038391-0.29740.383605
35-0.010169-0.07880.46874
360.1023610.79290.215485
37-0.034891-0.27030.393942
380.0159160.12330.451147
39-0.02764-0.21410.415599
40-0.02566-0.19880.42156
41-0.141872-1.09890.138094
42-0.035465-0.27470.39224
430.0470680.36460.358352
440.0146680.11360.454959
45-0.003544-0.02740.489097
46-0.042295-0.32760.372172
470.0220710.1710.432416
48-0.07816-0.60540.273589
490.1314041.01790.156418
50-0.015476-0.11990.45249
51-0.013365-0.10350.458947
52-0.015855-0.12280.451335
530.0209980.16260.435672
54-0.077205-0.5980.276037
55-0.053936-0.41780.338798
560.0087170.06750.473196
57-0.08199-0.63510.263892
58-0.007612-0.0590.47659
59-0.046961-0.36380.358658
60NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.885042 & 6.8555 & 0 \tabularnewline
2 & -0.279454 & -2.1646 & 0.017202 \tabularnewline
3 & 0.172678 & 1.3376 & 0.093045 \tabularnewline
4 & 0.156543 & 1.2126 & 0.115022 \tabularnewline
5 & 0.11947 & 0.9254 & 0.179229 \tabularnewline
6 & -0.18368 & -1.4228 & 0.079989 \tabularnewline
7 & -0.018087 & -0.1401 & 0.444523 \tabularnewline
8 & 0.04007 & 0.3104 & 0.378672 \tabularnewline
9 & 0.124523 & 0.9645 & 0.169321 \tabularnewline
10 & 0.120621 & 0.9343 & 0.17694 \tabularnewline
11 & 0.189239 & 1.4658 & 0.073957 \tabularnewline
12 & -0.178134 & -1.3798 & 0.086381 \tabularnewline
13 & -0.582263 & -4.5102 & 1.5e-05 \tabularnewline
14 & 0.069226 & 0.5362 & 0.296893 \tabularnewline
15 & -0.074474 & -0.5769 & 0.283092 \tabularnewline
16 & -0.041682 & -0.3229 & 0.373959 \tabularnewline
17 & -0.04601 & -0.3564 & 0.361398 \tabularnewline
18 & 0.071826 & 0.5564 & 0.290017 \tabularnewline
19 & 0.029707 & 0.2301 & 0.409396 \tabularnewline
20 & -0.175726 & -1.3612 & 0.089275 \tabularnewline
21 & 0.041423 & 0.3209 & 0.374717 \tabularnewline
22 & -0.03012 & -0.2333 & 0.408158 \tabularnewline
23 & -0.046261 & -0.3583 & 0.360675 \tabularnewline
24 & 0.043221 & 0.3348 & 0.369475 \tabularnewline
25 & 0.015807 & 0.1224 & 0.451479 \tabularnewline
26 & -0.045843 & -0.3551 & 0.361879 \tabularnewline
27 & 0.069093 & 0.5352 & 0.297247 \tabularnewline
28 & -0.078005 & -0.6042 & 0.273987 \tabularnewline
29 & 0.070185 & 0.5436 & 0.294349 \tabularnewline
30 & 0.003652 & 0.0283 & 0.488763 \tabularnewline
31 & -0.006806 & -0.0527 & 0.479066 \tabularnewline
32 & -0.045209 & -0.3502 & 0.363713 \tabularnewline
33 & -0.008845 & -0.0685 & 0.472802 \tabularnewline
34 & -0.038391 & -0.2974 & 0.383605 \tabularnewline
35 & -0.010169 & -0.0788 & 0.46874 \tabularnewline
36 & 0.102361 & 0.7929 & 0.215485 \tabularnewline
37 & -0.034891 & -0.2703 & 0.393942 \tabularnewline
38 & 0.015916 & 0.1233 & 0.451147 \tabularnewline
39 & -0.02764 & -0.2141 & 0.415599 \tabularnewline
40 & -0.02566 & -0.1988 & 0.42156 \tabularnewline
41 & -0.141872 & -1.0989 & 0.138094 \tabularnewline
42 & -0.035465 & -0.2747 & 0.39224 \tabularnewline
43 & 0.047068 & 0.3646 & 0.358352 \tabularnewline
44 & 0.014668 & 0.1136 & 0.454959 \tabularnewline
45 & -0.003544 & -0.0274 & 0.489097 \tabularnewline
46 & -0.042295 & -0.3276 & 0.372172 \tabularnewline
47 & 0.022071 & 0.171 & 0.432416 \tabularnewline
48 & -0.07816 & -0.6054 & 0.273589 \tabularnewline
49 & 0.131404 & 1.0179 & 0.156418 \tabularnewline
50 & -0.015476 & -0.1199 & 0.45249 \tabularnewline
51 & -0.013365 & -0.1035 & 0.458947 \tabularnewline
52 & -0.015855 & -0.1228 & 0.451335 \tabularnewline
53 & 0.020998 & 0.1626 & 0.435672 \tabularnewline
54 & -0.077205 & -0.598 & 0.276037 \tabularnewline
55 & -0.053936 & -0.4178 & 0.338798 \tabularnewline
56 & 0.008717 & 0.0675 & 0.473196 \tabularnewline
57 & -0.08199 & -0.6351 & 0.263892 \tabularnewline
58 & -0.007612 & -0.059 & 0.47659 \tabularnewline
59 & -0.046961 & -0.3638 & 0.358658 \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33178&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]0.885042[/C][C]6.8555[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.279454[/C][C]-2.1646[/C][C]0.017202[/C][/ROW]
[ROW][C]3[/C][C]0.172678[/C][C]1.3376[/C][C]0.093045[/C][/ROW]
[ROW][C]4[/C][C]0.156543[/C][C]1.2126[/C][C]0.115022[/C][/ROW]
[ROW][C]5[/C][C]0.11947[/C][C]0.9254[/C][C]0.179229[/C][/ROW]
[ROW][C]6[/C][C]-0.18368[/C][C]-1.4228[/C][C]0.079989[/C][/ROW]
[ROW][C]7[/C][C]-0.018087[/C][C]-0.1401[/C][C]0.444523[/C][/ROW]
[ROW][C]8[/C][C]0.04007[/C][C]0.3104[/C][C]0.378672[/C][/ROW]
[ROW][C]9[/C][C]0.124523[/C][C]0.9645[/C][C]0.169321[/C][/ROW]
[ROW][C]10[/C][C]0.120621[/C][C]0.9343[/C][C]0.17694[/C][/ROW]
[ROW][C]11[/C][C]0.189239[/C][C]1.4658[/C][C]0.073957[/C][/ROW]
[ROW][C]12[/C][C]-0.178134[/C][C]-1.3798[/C][C]0.086381[/C][/ROW]
[ROW][C]13[/C][C]-0.582263[/C][C]-4.5102[/C][C]1.5e-05[/C][/ROW]
[ROW][C]14[/C][C]0.069226[/C][C]0.5362[/C][C]0.296893[/C][/ROW]
[ROW][C]15[/C][C]-0.074474[/C][C]-0.5769[/C][C]0.283092[/C][/ROW]
[ROW][C]16[/C][C]-0.041682[/C][C]-0.3229[/C][C]0.373959[/C][/ROW]
[ROW][C]17[/C][C]-0.04601[/C][C]-0.3564[/C][C]0.361398[/C][/ROW]
[ROW][C]18[/C][C]0.071826[/C][C]0.5564[/C][C]0.290017[/C][/ROW]
[ROW][C]19[/C][C]0.029707[/C][C]0.2301[/C][C]0.409396[/C][/ROW]
[ROW][C]20[/C][C]-0.175726[/C][C]-1.3612[/C][C]0.089275[/C][/ROW]
[ROW][C]21[/C][C]0.041423[/C][C]0.3209[/C][C]0.374717[/C][/ROW]
[ROW][C]22[/C][C]-0.03012[/C][C]-0.2333[/C][C]0.408158[/C][/ROW]
[ROW][C]23[/C][C]-0.046261[/C][C]-0.3583[/C][C]0.360675[/C][/ROW]
[ROW][C]24[/C][C]0.043221[/C][C]0.3348[/C][C]0.369475[/C][/ROW]
[ROW][C]25[/C][C]0.015807[/C][C]0.1224[/C][C]0.451479[/C][/ROW]
[ROW][C]26[/C][C]-0.045843[/C][C]-0.3551[/C][C]0.361879[/C][/ROW]
[ROW][C]27[/C][C]0.069093[/C][C]0.5352[/C][C]0.297247[/C][/ROW]
[ROW][C]28[/C][C]-0.078005[/C][C]-0.6042[/C][C]0.273987[/C][/ROW]
[ROW][C]29[/C][C]0.070185[/C][C]0.5436[/C][C]0.294349[/C][/ROW]
[ROW][C]30[/C][C]0.003652[/C][C]0.0283[/C][C]0.488763[/C][/ROW]
[ROW][C]31[/C][C]-0.006806[/C][C]-0.0527[/C][C]0.479066[/C][/ROW]
[ROW][C]32[/C][C]-0.045209[/C][C]-0.3502[/C][C]0.363713[/C][/ROW]
[ROW][C]33[/C][C]-0.008845[/C][C]-0.0685[/C][C]0.472802[/C][/ROW]
[ROW][C]34[/C][C]-0.038391[/C][C]-0.2974[/C][C]0.383605[/C][/ROW]
[ROW][C]35[/C][C]-0.010169[/C][C]-0.0788[/C][C]0.46874[/C][/ROW]
[ROW][C]36[/C][C]0.102361[/C][C]0.7929[/C][C]0.215485[/C][/ROW]
[ROW][C]37[/C][C]-0.034891[/C][C]-0.2703[/C][C]0.393942[/C][/ROW]
[ROW][C]38[/C][C]0.015916[/C][C]0.1233[/C][C]0.451147[/C][/ROW]
[ROW][C]39[/C][C]-0.02764[/C][C]-0.2141[/C][C]0.415599[/C][/ROW]
[ROW][C]40[/C][C]-0.02566[/C][C]-0.1988[/C][C]0.42156[/C][/ROW]
[ROW][C]41[/C][C]-0.141872[/C][C]-1.0989[/C][C]0.138094[/C][/ROW]
[ROW][C]42[/C][C]-0.035465[/C][C]-0.2747[/C][C]0.39224[/C][/ROW]
[ROW][C]43[/C][C]0.047068[/C][C]0.3646[/C][C]0.358352[/C][/ROW]
[ROW][C]44[/C][C]0.014668[/C][C]0.1136[/C][C]0.454959[/C][/ROW]
[ROW][C]45[/C][C]-0.003544[/C][C]-0.0274[/C][C]0.489097[/C][/ROW]
[ROW][C]46[/C][C]-0.042295[/C][C]-0.3276[/C][C]0.372172[/C][/ROW]
[ROW][C]47[/C][C]0.022071[/C][C]0.171[/C][C]0.432416[/C][/ROW]
[ROW][C]48[/C][C]-0.07816[/C][C]-0.6054[/C][C]0.273589[/C][/ROW]
[ROW][C]49[/C][C]0.131404[/C][C]1.0179[/C][C]0.156418[/C][/ROW]
[ROW][C]50[/C][C]-0.015476[/C][C]-0.1199[/C][C]0.45249[/C][/ROW]
[ROW][C]51[/C][C]-0.013365[/C][C]-0.1035[/C][C]0.458947[/C][/ROW]
[ROW][C]52[/C][C]-0.015855[/C][C]-0.1228[/C][C]0.451335[/C][/ROW]
[ROW][C]53[/C][C]0.020998[/C][C]0.1626[/C][C]0.435672[/C][/ROW]
[ROW][C]54[/C][C]-0.077205[/C][C]-0.598[/C][C]0.276037[/C][/ROW]
[ROW][C]55[/C][C]-0.053936[/C][C]-0.4178[/C][C]0.338798[/C][/ROW]
[ROW][C]56[/C][C]0.008717[/C][C]0.0675[/C][C]0.473196[/C][/ROW]
[ROW][C]57[/C][C]-0.08199[/C][C]-0.6351[/C][C]0.263892[/C][/ROW]
[ROW][C]58[/C][C]-0.007612[/C][C]-0.059[/C][C]0.47659[/C][/ROW]
[ROW][C]59[/C][C]-0.046961[/C][C]-0.3638[/C][C]0.358658[/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=33178&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33178&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
10.8850426.85550
2-0.279454-2.16460.017202
30.1726781.33760.093045
40.1565431.21260.115022
50.119470.92540.179229
6-0.18368-1.42280.079989
7-0.018087-0.14010.444523
80.040070.31040.378672
90.1245230.96450.169321
100.1206210.93430.17694
110.1892391.46580.073957
12-0.178134-1.37980.086381
13-0.582263-4.51021.5e-05
140.0692260.53620.296893
15-0.074474-0.57690.283092
16-0.041682-0.32290.373959
17-0.04601-0.35640.361398
180.0718260.55640.290017
190.0297070.23010.409396
20-0.175726-1.36120.089275
210.0414230.32090.374717
22-0.03012-0.23330.408158
23-0.046261-0.35830.360675
240.0432210.33480.369475
250.0158070.12240.451479
26-0.045843-0.35510.361879
270.0690930.53520.297247
28-0.078005-0.60420.273987
290.0701850.54360.294349
300.0036520.02830.488763
31-0.006806-0.05270.479066
32-0.045209-0.35020.363713
33-0.008845-0.06850.472802
34-0.038391-0.29740.383605
35-0.010169-0.07880.46874
360.1023610.79290.215485
37-0.034891-0.27030.393942
380.0159160.12330.451147
39-0.02764-0.21410.415599
40-0.02566-0.19880.42156
41-0.141872-1.09890.138094
42-0.035465-0.27470.39224
430.0470680.36460.358352
440.0146680.11360.454959
45-0.003544-0.02740.489097
46-0.042295-0.32760.372172
470.0220710.1710.432416
48-0.07816-0.60540.273589
490.1314041.01790.156418
50-0.015476-0.11990.45249
51-0.013365-0.10350.458947
52-0.015855-0.12280.451335
530.0209980.16260.435672
54-0.077205-0.5980.276037
55-0.053936-0.41780.338798
560.0087170.06750.473196
57-0.08199-0.63510.263892
58-0.007612-0.0590.47659
59-0.046961-0.36380.358658
60NANANA



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