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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationThu, 11 Dec 2008 05:20:25 -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/11/t1228998115fkci5j4ct8c2oji.htm/, Retrieved Fri, 17 May 2024 04:19:55 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=32190, Retrieved Fri, 17 May 2024 04:19:55 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact196
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Paper] [2008-12-11 12:20:25] [1351baa662f198be3bff32f9007a9a6d] [Current]
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Dataseries X:
119.5
125
145
105.3
116.9
120.1
88.9
78.4
114.6
113.3
117
99.6
99.4
101.9
115.2
108.5
113.8
121
92.2
90.2
101.5
126.6
93.9
89.8
93.4
101.5
110.4
105.9
108.4
113.9
86.1
69.4
101.2
100.5
98
106.6
90.1
96.9
125.9
112
100
123.9
79.8
83.4
113.6
112.9
104
109.9
99
106.3
128.9
111.1
102.9
130
87
87.5
117.6
103.4
110.8
112.6
102.5
112.4
135.6
105.1
127.7
137
91
90.5
122.4
123.3
124.3
120
118.1
119
142.7
123.6
129.6
151.6
110.4
99.2
130.5
136.2
129.7
128




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32190&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32190&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32190&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.3074992.81830.00301
20.0068610.06290.475004
30.28022.56810.005998
40.0984880.90270.184645
50.1085490.99490.161329
60.3820633.50170.000372
70.1220291.11840.133289
80.1022610.93720.175661
90.2136251.95790.02678
10-0.107216-0.98260.164301
110.154951.42010.079634
120.5883815.39260
130.1396311.27970.10208
14-0.113298-1.03840.151034
150.1150251.05420.147401
16-0.042901-0.39320.347586
170.0041350.03790.48493
180.1839681.68610.047744
190.0141170.12940.448681
20-0.023868-0.21880.413686
210.0401730.36820.356828
22-0.229708-2.10530.019125
230.0113050.10360.458864
240.3756333.44270.00045
250.0068570.06280.475019
26-0.146614-1.34370.091326
270.0009010.00830.496716
28-0.171194-1.5690.060202
29-0.113519-1.04040.150566
300.0529060.48490.314507
31-0.117268-1.07480.142776
32-0.107422-0.98450.16384
33-0.049503-0.45370.325606
34-0.250542-2.29630.012076
35-0.06548-0.60010.275015
360.2166141.98530.025187
37-0.049827-0.45670.324543
38-0.226659-2.07740.020411
39-0.096142-0.88120.190374
40-0.214765-1.96840.026163
41-0.172599-1.58190.058716
42-0.060063-0.55050.291725
43-0.113846-1.04340.149874
44-0.11796-1.08110.141369
45-0.111075-1.0180.155797
46-0.261856-2.39990.009304
47-0.114427-1.04870.148653
480.1089160.99820.160516
49-0.080159-0.73470.232293
50-0.208263-1.90880.029854
51-0.115902-1.06230.145581
52-0.165593-1.51770.066424
53-0.123168-1.12890.131087
54-0.053209-0.48770.313529
55-0.089098-0.81660.208235
56-0.046202-0.42340.336525
57-0.090463-0.82910.204697
58-0.191744-1.75740.04125
59-0.065343-0.59890.275433
600.1222331.12030.132894

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.307499 & 2.8183 & 0.00301 \tabularnewline
2 & 0.006861 & 0.0629 & 0.475004 \tabularnewline
3 & 0.2802 & 2.5681 & 0.005998 \tabularnewline
4 & 0.098488 & 0.9027 & 0.184645 \tabularnewline
5 & 0.108549 & 0.9949 & 0.161329 \tabularnewline
6 & 0.382063 & 3.5017 & 0.000372 \tabularnewline
7 & 0.122029 & 1.1184 & 0.133289 \tabularnewline
8 & 0.102261 & 0.9372 & 0.175661 \tabularnewline
9 & 0.213625 & 1.9579 & 0.02678 \tabularnewline
10 & -0.107216 & -0.9826 & 0.164301 \tabularnewline
11 & 0.15495 & 1.4201 & 0.079634 \tabularnewline
12 & 0.588381 & 5.3926 & 0 \tabularnewline
13 & 0.139631 & 1.2797 & 0.10208 \tabularnewline
14 & -0.113298 & -1.0384 & 0.151034 \tabularnewline
15 & 0.115025 & 1.0542 & 0.147401 \tabularnewline
16 & -0.042901 & -0.3932 & 0.347586 \tabularnewline
17 & 0.004135 & 0.0379 & 0.48493 \tabularnewline
18 & 0.183968 & 1.6861 & 0.047744 \tabularnewline
19 & 0.014117 & 0.1294 & 0.448681 \tabularnewline
20 & -0.023868 & -0.2188 & 0.413686 \tabularnewline
21 & 0.040173 & 0.3682 & 0.356828 \tabularnewline
22 & -0.229708 & -2.1053 & 0.019125 \tabularnewline
23 & 0.011305 & 0.1036 & 0.458864 \tabularnewline
24 & 0.375633 & 3.4427 & 0.00045 \tabularnewline
25 & 0.006857 & 0.0628 & 0.475019 \tabularnewline
26 & -0.146614 & -1.3437 & 0.091326 \tabularnewline
27 & 0.000901 & 0.0083 & 0.496716 \tabularnewline
28 & -0.171194 & -1.569 & 0.060202 \tabularnewline
29 & -0.113519 & -1.0404 & 0.150566 \tabularnewline
30 & 0.052906 & 0.4849 & 0.314507 \tabularnewline
31 & -0.117268 & -1.0748 & 0.142776 \tabularnewline
32 & -0.107422 & -0.9845 & 0.16384 \tabularnewline
33 & -0.049503 & -0.4537 & 0.325606 \tabularnewline
34 & -0.250542 & -2.2963 & 0.012076 \tabularnewline
35 & -0.06548 & -0.6001 & 0.275015 \tabularnewline
36 & 0.216614 & 1.9853 & 0.025187 \tabularnewline
37 & -0.049827 & -0.4567 & 0.324543 \tabularnewline
38 & -0.226659 & -2.0774 & 0.020411 \tabularnewline
39 & -0.096142 & -0.8812 & 0.190374 \tabularnewline
40 & -0.214765 & -1.9684 & 0.026163 \tabularnewline
41 & -0.172599 & -1.5819 & 0.058716 \tabularnewline
42 & -0.060063 & -0.5505 & 0.291725 \tabularnewline
43 & -0.113846 & -1.0434 & 0.149874 \tabularnewline
44 & -0.11796 & -1.0811 & 0.141369 \tabularnewline
45 & -0.111075 & -1.018 & 0.155797 \tabularnewline
46 & -0.261856 & -2.3999 & 0.009304 \tabularnewline
47 & -0.114427 & -1.0487 & 0.148653 \tabularnewline
48 & 0.108916 & 0.9982 & 0.160516 \tabularnewline
49 & -0.080159 & -0.7347 & 0.232293 \tabularnewline
50 & -0.208263 & -1.9088 & 0.029854 \tabularnewline
51 & -0.115902 & -1.0623 & 0.145581 \tabularnewline
52 & -0.165593 & -1.5177 & 0.066424 \tabularnewline
53 & -0.123168 & -1.1289 & 0.131087 \tabularnewline
54 & -0.053209 & -0.4877 & 0.313529 \tabularnewline
55 & -0.089098 & -0.8166 & 0.208235 \tabularnewline
56 & -0.046202 & -0.4234 & 0.336525 \tabularnewline
57 & -0.090463 & -0.8291 & 0.204697 \tabularnewline
58 & -0.191744 & -1.7574 & 0.04125 \tabularnewline
59 & -0.065343 & -0.5989 & 0.275433 \tabularnewline
60 & 0.122233 & 1.1203 & 0.132894 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32190&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]0.307499[/C][C]2.8183[/C][C]0.00301[/C][/ROW]
[ROW][C]2[/C][C]0.006861[/C][C]0.0629[/C][C]0.475004[/C][/ROW]
[ROW][C]3[/C][C]0.2802[/C][C]2.5681[/C][C]0.005998[/C][/ROW]
[ROW][C]4[/C][C]0.098488[/C][C]0.9027[/C][C]0.184645[/C][/ROW]
[ROW][C]5[/C][C]0.108549[/C][C]0.9949[/C][C]0.161329[/C][/ROW]
[ROW][C]6[/C][C]0.382063[/C][C]3.5017[/C][C]0.000372[/C][/ROW]
[ROW][C]7[/C][C]0.122029[/C][C]1.1184[/C][C]0.133289[/C][/ROW]
[ROW][C]8[/C][C]0.102261[/C][C]0.9372[/C][C]0.175661[/C][/ROW]
[ROW][C]9[/C][C]0.213625[/C][C]1.9579[/C][C]0.02678[/C][/ROW]
[ROW][C]10[/C][C]-0.107216[/C][C]-0.9826[/C][C]0.164301[/C][/ROW]
[ROW][C]11[/C][C]0.15495[/C][C]1.4201[/C][C]0.079634[/C][/ROW]
[ROW][C]12[/C][C]0.588381[/C][C]5.3926[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.139631[/C][C]1.2797[/C][C]0.10208[/C][/ROW]
[ROW][C]14[/C][C]-0.113298[/C][C]-1.0384[/C][C]0.151034[/C][/ROW]
[ROW][C]15[/C][C]0.115025[/C][C]1.0542[/C][C]0.147401[/C][/ROW]
[ROW][C]16[/C][C]-0.042901[/C][C]-0.3932[/C][C]0.347586[/C][/ROW]
[ROW][C]17[/C][C]0.004135[/C][C]0.0379[/C][C]0.48493[/C][/ROW]
[ROW][C]18[/C][C]0.183968[/C][C]1.6861[/C][C]0.047744[/C][/ROW]
[ROW][C]19[/C][C]0.014117[/C][C]0.1294[/C][C]0.448681[/C][/ROW]
[ROW][C]20[/C][C]-0.023868[/C][C]-0.2188[/C][C]0.413686[/C][/ROW]
[ROW][C]21[/C][C]0.040173[/C][C]0.3682[/C][C]0.356828[/C][/ROW]
[ROW][C]22[/C][C]-0.229708[/C][C]-2.1053[/C][C]0.019125[/C][/ROW]
[ROW][C]23[/C][C]0.011305[/C][C]0.1036[/C][C]0.458864[/C][/ROW]
[ROW][C]24[/C][C]0.375633[/C][C]3.4427[/C][C]0.00045[/C][/ROW]
[ROW][C]25[/C][C]0.006857[/C][C]0.0628[/C][C]0.475019[/C][/ROW]
[ROW][C]26[/C][C]-0.146614[/C][C]-1.3437[/C][C]0.091326[/C][/ROW]
[ROW][C]27[/C][C]0.000901[/C][C]0.0083[/C][C]0.496716[/C][/ROW]
[ROW][C]28[/C][C]-0.171194[/C][C]-1.569[/C][C]0.060202[/C][/ROW]
[ROW][C]29[/C][C]-0.113519[/C][C]-1.0404[/C][C]0.150566[/C][/ROW]
[ROW][C]30[/C][C]0.052906[/C][C]0.4849[/C][C]0.314507[/C][/ROW]
[ROW][C]31[/C][C]-0.117268[/C][C]-1.0748[/C][C]0.142776[/C][/ROW]
[ROW][C]32[/C][C]-0.107422[/C][C]-0.9845[/C][C]0.16384[/C][/ROW]
[ROW][C]33[/C][C]-0.049503[/C][C]-0.4537[/C][C]0.325606[/C][/ROW]
[ROW][C]34[/C][C]-0.250542[/C][C]-2.2963[/C][C]0.012076[/C][/ROW]
[ROW][C]35[/C][C]-0.06548[/C][C]-0.6001[/C][C]0.275015[/C][/ROW]
[ROW][C]36[/C][C]0.216614[/C][C]1.9853[/C][C]0.025187[/C][/ROW]
[ROW][C]37[/C][C]-0.049827[/C][C]-0.4567[/C][C]0.324543[/C][/ROW]
[ROW][C]38[/C][C]-0.226659[/C][C]-2.0774[/C][C]0.020411[/C][/ROW]
[ROW][C]39[/C][C]-0.096142[/C][C]-0.8812[/C][C]0.190374[/C][/ROW]
[ROW][C]40[/C][C]-0.214765[/C][C]-1.9684[/C][C]0.026163[/C][/ROW]
[ROW][C]41[/C][C]-0.172599[/C][C]-1.5819[/C][C]0.058716[/C][/ROW]
[ROW][C]42[/C][C]-0.060063[/C][C]-0.5505[/C][C]0.291725[/C][/ROW]
[ROW][C]43[/C][C]-0.113846[/C][C]-1.0434[/C][C]0.149874[/C][/ROW]
[ROW][C]44[/C][C]-0.11796[/C][C]-1.0811[/C][C]0.141369[/C][/ROW]
[ROW][C]45[/C][C]-0.111075[/C][C]-1.018[/C][C]0.155797[/C][/ROW]
[ROW][C]46[/C][C]-0.261856[/C][C]-2.3999[/C][C]0.009304[/C][/ROW]
[ROW][C]47[/C][C]-0.114427[/C][C]-1.0487[/C][C]0.148653[/C][/ROW]
[ROW][C]48[/C][C]0.108916[/C][C]0.9982[/C][C]0.160516[/C][/ROW]
[ROW][C]49[/C][C]-0.080159[/C][C]-0.7347[/C][C]0.232293[/C][/ROW]
[ROW][C]50[/C][C]-0.208263[/C][C]-1.9088[/C][C]0.029854[/C][/ROW]
[ROW][C]51[/C][C]-0.115902[/C][C]-1.0623[/C][C]0.145581[/C][/ROW]
[ROW][C]52[/C][C]-0.165593[/C][C]-1.5177[/C][C]0.066424[/C][/ROW]
[ROW][C]53[/C][C]-0.123168[/C][C]-1.1289[/C][C]0.131087[/C][/ROW]
[ROW][C]54[/C][C]-0.053209[/C][C]-0.4877[/C][C]0.313529[/C][/ROW]
[ROW][C]55[/C][C]-0.089098[/C][C]-0.8166[/C][C]0.208235[/C][/ROW]
[ROW][C]56[/C][C]-0.046202[/C][C]-0.4234[/C][C]0.336525[/C][/ROW]
[ROW][C]57[/C][C]-0.090463[/C][C]-0.8291[/C][C]0.204697[/C][/ROW]
[ROW][C]58[/C][C]-0.191744[/C][C]-1.7574[/C][C]0.04125[/C][/ROW]
[ROW][C]59[/C][C]-0.065343[/C][C]-0.5989[/C][C]0.275433[/C][/ROW]
[ROW][C]60[/C][C]0.122233[/C][C]1.1203[/C][C]0.132894[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32190&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32190&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
10.3074992.81830.00301
20.0068610.06290.475004
30.28022.56810.005998
40.0984880.90270.184645
50.1085490.99490.161329
60.3820633.50170.000372
70.1220291.11840.133289
80.1022610.93720.175661
90.2136251.95790.02678
10-0.107216-0.98260.164301
110.154951.42010.079634
120.5883815.39260
130.1396311.27970.10208
14-0.113298-1.03840.151034
150.1150251.05420.147401
16-0.042901-0.39320.347586
170.0041350.03790.48493
180.1839681.68610.047744
190.0141170.12940.448681
20-0.023868-0.21880.413686
210.0401730.36820.356828
22-0.229708-2.10530.019125
230.0113050.10360.458864
240.3756333.44270.00045
250.0068570.06280.475019
26-0.146614-1.34370.091326
270.0009010.00830.496716
28-0.171194-1.5690.060202
29-0.113519-1.04040.150566
300.0529060.48490.314507
31-0.117268-1.07480.142776
32-0.107422-0.98450.16384
33-0.049503-0.45370.325606
34-0.250542-2.29630.012076
35-0.06548-0.60010.275015
360.2166141.98530.025187
37-0.049827-0.45670.324543
38-0.226659-2.07740.020411
39-0.096142-0.88120.190374
40-0.214765-1.96840.026163
41-0.172599-1.58190.058716
42-0.060063-0.55050.291725
43-0.113846-1.04340.149874
44-0.11796-1.08110.141369
45-0.111075-1.0180.155797
46-0.261856-2.39990.009304
47-0.114427-1.04870.148653
480.1089160.99820.160516
49-0.080159-0.73470.232293
50-0.208263-1.90880.029854
51-0.115902-1.06230.145581
52-0.165593-1.51770.066424
53-0.123168-1.12890.131087
54-0.053209-0.48770.313529
55-0.089098-0.81660.208235
56-0.046202-0.42340.336525
57-0.090463-0.82910.204697
58-0.191744-1.75740.04125
59-0.065343-0.59890.275433
600.1222331.12030.132894







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.3074992.81830.00301
2-0.096852-0.88770.188628
30.3430153.14380.001153
4-0.138164-1.26630.104454
50.2253682.06550.020978
60.2340382.1450.017421
7-0.089886-0.82380.206187
80.1856531.70150.046271
9-0.073733-0.67580.250519
10-0.202921-1.85980.033207
110.3457183.16860.001069
120.3355183.07510.00142
13-0.136307-1.24930.107517
14-0.242581-2.22330.01444
15-0.052457-0.48080.315962
16-0.026498-0.24290.404353
170.015890.14560.442279
18-0.120446-1.10390.136394
190.0133520.12240.451448
20-0.098864-0.90610.183737
210.0034310.03140.487494
22-0.068017-0.62340.26736
230.0859050.78730.216651
240.0936790.85860.196507
25-0.075498-0.6920.245438
260.0486170.44560.328524
27-0.069267-0.63480.263629
28-0.096574-0.88510.189311
29-0.017448-0.15990.436667
30-0.08305-0.76120.224345
31-0.035407-0.32450.373178
32-0.0805-0.73780.231349
330.0583350.53460.297154
340.0740520.67870.249598
35-0.039993-0.36650.357442
360.0077150.07070.4719
370.0287750.26370.396317
38-0.17313-1.58680.058161
390.0309960.28410.388524
40-0.062811-0.57570.283188
410.0004270.00390.498444
42-0.14836-1.35970.088775
430.0968120.88730.188726
440.0227150.20820.417795
45-0.074342-0.68140.248761
46-0.023827-0.21840.413832
470.0033560.03080.487767
48-0.007683-0.07040.472016
49-0.025814-0.23660.406775
50-0.04962-0.45480.325222
510.054890.50310.308115
52-0.038688-0.35460.361894
530.0814450.74650.228739
54-0.040065-0.36720.357198
550.017450.15990.436659
560.001310.0120.495224
57-0.004285-0.03930.484382
580.0146820.13460.446639
59-0.047562-0.43590.332011
60-0.027176-0.24910.401956

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.307499 & 2.8183 & 0.00301 \tabularnewline
2 & -0.096852 & -0.8877 & 0.188628 \tabularnewline
3 & 0.343015 & 3.1438 & 0.001153 \tabularnewline
4 & -0.138164 & -1.2663 & 0.104454 \tabularnewline
5 & 0.225368 & 2.0655 & 0.020978 \tabularnewline
6 & 0.234038 & 2.145 & 0.017421 \tabularnewline
7 & -0.089886 & -0.8238 & 0.206187 \tabularnewline
8 & 0.185653 & 1.7015 & 0.046271 \tabularnewline
9 & -0.073733 & -0.6758 & 0.250519 \tabularnewline
10 & -0.202921 & -1.8598 & 0.033207 \tabularnewline
11 & 0.345718 & 3.1686 & 0.001069 \tabularnewline
12 & 0.335518 & 3.0751 & 0.00142 \tabularnewline
13 & -0.136307 & -1.2493 & 0.107517 \tabularnewline
14 & -0.242581 & -2.2233 & 0.01444 \tabularnewline
15 & -0.052457 & -0.4808 & 0.315962 \tabularnewline
16 & -0.026498 & -0.2429 & 0.404353 \tabularnewline
17 & 0.01589 & 0.1456 & 0.442279 \tabularnewline
18 & -0.120446 & -1.1039 & 0.136394 \tabularnewline
19 & 0.013352 & 0.1224 & 0.451448 \tabularnewline
20 & -0.098864 & -0.9061 & 0.183737 \tabularnewline
21 & 0.003431 & 0.0314 & 0.487494 \tabularnewline
22 & -0.068017 & -0.6234 & 0.26736 \tabularnewline
23 & 0.085905 & 0.7873 & 0.216651 \tabularnewline
24 & 0.093679 & 0.8586 & 0.196507 \tabularnewline
25 & -0.075498 & -0.692 & 0.245438 \tabularnewline
26 & 0.048617 & 0.4456 & 0.328524 \tabularnewline
27 & -0.069267 & -0.6348 & 0.263629 \tabularnewline
28 & -0.096574 & -0.8851 & 0.189311 \tabularnewline
29 & -0.017448 & -0.1599 & 0.436667 \tabularnewline
30 & -0.08305 & -0.7612 & 0.224345 \tabularnewline
31 & -0.035407 & -0.3245 & 0.373178 \tabularnewline
32 & -0.0805 & -0.7378 & 0.231349 \tabularnewline
33 & 0.058335 & 0.5346 & 0.297154 \tabularnewline
34 & 0.074052 & 0.6787 & 0.249598 \tabularnewline
35 & -0.039993 & -0.3665 & 0.357442 \tabularnewline
36 & 0.007715 & 0.0707 & 0.4719 \tabularnewline
37 & 0.028775 & 0.2637 & 0.396317 \tabularnewline
38 & -0.17313 & -1.5868 & 0.058161 \tabularnewline
39 & 0.030996 & 0.2841 & 0.388524 \tabularnewline
40 & -0.062811 & -0.5757 & 0.283188 \tabularnewline
41 & 0.000427 & 0.0039 & 0.498444 \tabularnewline
42 & -0.14836 & -1.3597 & 0.088775 \tabularnewline
43 & 0.096812 & 0.8873 & 0.188726 \tabularnewline
44 & 0.022715 & 0.2082 & 0.417795 \tabularnewline
45 & -0.074342 & -0.6814 & 0.248761 \tabularnewline
46 & -0.023827 & -0.2184 & 0.413832 \tabularnewline
47 & 0.003356 & 0.0308 & 0.487767 \tabularnewline
48 & -0.007683 & -0.0704 & 0.472016 \tabularnewline
49 & -0.025814 & -0.2366 & 0.406775 \tabularnewline
50 & -0.04962 & -0.4548 & 0.325222 \tabularnewline
51 & 0.05489 & 0.5031 & 0.308115 \tabularnewline
52 & -0.038688 & -0.3546 & 0.361894 \tabularnewline
53 & 0.081445 & 0.7465 & 0.228739 \tabularnewline
54 & -0.040065 & -0.3672 & 0.357198 \tabularnewline
55 & 0.01745 & 0.1599 & 0.436659 \tabularnewline
56 & 0.00131 & 0.012 & 0.495224 \tabularnewline
57 & -0.004285 & -0.0393 & 0.484382 \tabularnewline
58 & 0.014682 & 0.1346 & 0.446639 \tabularnewline
59 & -0.047562 & -0.4359 & 0.332011 \tabularnewline
60 & -0.027176 & -0.2491 & 0.401956 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32190&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]0.307499[/C][C]2.8183[/C][C]0.00301[/C][/ROW]
[ROW][C]2[/C][C]-0.096852[/C][C]-0.8877[/C][C]0.188628[/C][/ROW]
[ROW][C]3[/C][C]0.343015[/C][C]3.1438[/C][C]0.001153[/C][/ROW]
[ROW][C]4[/C][C]-0.138164[/C][C]-1.2663[/C][C]0.104454[/C][/ROW]
[ROW][C]5[/C][C]0.225368[/C][C]2.0655[/C][C]0.020978[/C][/ROW]
[ROW][C]6[/C][C]0.234038[/C][C]2.145[/C][C]0.017421[/C][/ROW]
[ROW][C]7[/C][C]-0.089886[/C][C]-0.8238[/C][C]0.206187[/C][/ROW]
[ROW][C]8[/C][C]0.185653[/C][C]1.7015[/C][C]0.046271[/C][/ROW]
[ROW][C]9[/C][C]-0.073733[/C][C]-0.6758[/C][C]0.250519[/C][/ROW]
[ROW][C]10[/C][C]-0.202921[/C][C]-1.8598[/C][C]0.033207[/C][/ROW]
[ROW][C]11[/C][C]0.345718[/C][C]3.1686[/C][C]0.001069[/C][/ROW]
[ROW][C]12[/C][C]0.335518[/C][C]3.0751[/C][C]0.00142[/C][/ROW]
[ROW][C]13[/C][C]-0.136307[/C][C]-1.2493[/C][C]0.107517[/C][/ROW]
[ROW][C]14[/C][C]-0.242581[/C][C]-2.2233[/C][C]0.01444[/C][/ROW]
[ROW][C]15[/C][C]-0.052457[/C][C]-0.4808[/C][C]0.315962[/C][/ROW]
[ROW][C]16[/C][C]-0.026498[/C][C]-0.2429[/C][C]0.404353[/C][/ROW]
[ROW][C]17[/C][C]0.01589[/C][C]0.1456[/C][C]0.442279[/C][/ROW]
[ROW][C]18[/C][C]-0.120446[/C][C]-1.1039[/C][C]0.136394[/C][/ROW]
[ROW][C]19[/C][C]0.013352[/C][C]0.1224[/C][C]0.451448[/C][/ROW]
[ROW][C]20[/C][C]-0.098864[/C][C]-0.9061[/C][C]0.183737[/C][/ROW]
[ROW][C]21[/C][C]0.003431[/C][C]0.0314[/C][C]0.487494[/C][/ROW]
[ROW][C]22[/C][C]-0.068017[/C][C]-0.6234[/C][C]0.26736[/C][/ROW]
[ROW][C]23[/C][C]0.085905[/C][C]0.7873[/C][C]0.216651[/C][/ROW]
[ROW][C]24[/C][C]0.093679[/C][C]0.8586[/C][C]0.196507[/C][/ROW]
[ROW][C]25[/C][C]-0.075498[/C][C]-0.692[/C][C]0.245438[/C][/ROW]
[ROW][C]26[/C][C]0.048617[/C][C]0.4456[/C][C]0.328524[/C][/ROW]
[ROW][C]27[/C][C]-0.069267[/C][C]-0.6348[/C][C]0.263629[/C][/ROW]
[ROW][C]28[/C][C]-0.096574[/C][C]-0.8851[/C][C]0.189311[/C][/ROW]
[ROW][C]29[/C][C]-0.017448[/C][C]-0.1599[/C][C]0.436667[/C][/ROW]
[ROW][C]30[/C][C]-0.08305[/C][C]-0.7612[/C][C]0.224345[/C][/ROW]
[ROW][C]31[/C][C]-0.035407[/C][C]-0.3245[/C][C]0.373178[/C][/ROW]
[ROW][C]32[/C][C]-0.0805[/C][C]-0.7378[/C][C]0.231349[/C][/ROW]
[ROW][C]33[/C][C]0.058335[/C][C]0.5346[/C][C]0.297154[/C][/ROW]
[ROW][C]34[/C][C]0.074052[/C][C]0.6787[/C][C]0.249598[/C][/ROW]
[ROW][C]35[/C][C]-0.039993[/C][C]-0.3665[/C][C]0.357442[/C][/ROW]
[ROW][C]36[/C][C]0.007715[/C][C]0.0707[/C][C]0.4719[/C][/ROW]
[ROW][C]37[/C][C]0.028775[/C][C]0.2637[/C][C]0.396317[/C][/ROW]
[ROW][C]38[/C][C]-0.17313[/C][C]-1.5868[/C][C]0.058161[/C][/ROW]
[ROW][C]39[/C][C]0.030996[/C][C]0.2841[/C][C]0.388524[/C][/ROW]
[ROW][C]40[/C][C]-0.062811[/C][C]-0.5757[/C][C]0.283188[/C][/ROW]
[ROW][C]41[/C][C]0.000427[/C][C]0.0039[/C][C]0.498444[/C][/ROW]
[ROW][C]42[/C][C]-0.14836[/C][C]-1.3597[/C][C]0.088775[/C][/ROW]
[ROW][C]43[/C][C]0.096812[/C][C]0.8873[/C][C]0.188726[/C][/ROW]
[ROW][C]44[/C][C]0.022715[/C][C]0.2082[/C][C]0.417795[/C][/ROW]
[ROW][C]45[/C][C]-0.074342[/C][C]-0.6814[/C][C]0.248761[/C][/ROW]
[ROW][C]46[/C][C]-0.023827[/C][C]-0.2184[/C][C]0.413832[/C][/ROW]
[ROW][C]47[/C][C]0.003356[/C][C]0.0308[/C][C]0.487767[/C][/ROW]
[ROW][C]48[/C][C]-0.007683[/C][C]-0.0704[/C][C]0.472016[/C][/ROW]
[ROW][C]49[/C][C]-0.025814[/C][C]-0.2366[/C][C]0.406775[/C][/ROW]
[ROW][C]50[/C][C]-0.04962[/C][C]-0.4548[/C][C]0.325222[/C][/ROW]
[ROW][C]51[/C][C]0.05489[/C][C]0.5031[/C][C]0.308115[/C][/ROW]
[ROW][C]52[/C][C]-0.038688[/C][C]-0.3546[/C][C]0.361894[/C][/ROW]
[ROW][C]53[/C][C]0.081445[/C][C]0.7465[/C][C]0.228739[/C][/ROW]
[ROW][C]54[/C][C]-0.040065[/C][C]-0.3672[/C][C]0.357198[/C][/ROW]
[ROW][C]55[/C][C]0.01745[/C][C]0.1599[/C][C]0.436659[/C][/ROW]
[ROW][C]56[/C][C]0.00131[/C][C]0.012[/C][C]0.495224[/C][/ROW]
[ROW][C]57[/C][C]-0.004285[/C][C]-0.0393[/C][C]0.484382[/C][/ROW]
[ROW][C]58[/C][C]0.014682[/C][C]0.1346[/C][C]0.446639[/C][/ROW]
[ROW][C]59[/C][C]-0.047562[/C][C]-0.4359[/C][C]0.332011[/C][/ROW]
[ROW][C]60[/C][C]-0.027176[/C][C]-0.2491[/C][C]0.401956[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32190&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32190&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
10.3074992.81830.00301
2-0.096852-0.88770.188628
30.3430153.14380.001153
4-0.138164-1.26630.104454
50.2253682.06550.020978
60.2340382.1450.017421
7-0.089886-0.82380.206187
80.1856531.70150.046271
9-0.073733-0.67580.250519
10-0.202921-1.85980.033207
110.3457183.16860.001069
120.3355183.07510.00142
13-0.136307-1.24930.107517
14-0.242581-2.22330.01444
15-0.052457-0.48080.315962
16-0.026498-0.24290.404353
170.015890.14560.442279
18-0.120446-1.10390.136394
190.0133520.12240.451448
20-0.098864-0.90610.183737
210.0034310.03140.487494
22-0.068017-0.62340.26736
230.0859050.78730.216651
240.0936790.85860.196507
25-0.075498-0.6920.245438
260.0486170.44560.328524
27-0.069267-0.63480.263629
28-0.096574-0.88510.189311
29-0.017448-0.15990.436667
30-0.08305-0.76120.224345
31-0.035407-0.32450.373178
32-0.0805-0.73780.231349
330.0583350.53460.297154
340.0740520.67870.249598
35-0.039993-0.36650.357442
360.0077150.07070.4719
370.0287750.26370.396317
38-0.17313-1.58680.058161
390.0309960.28410.388524
40-0.062811-0.57570.283188
410.0004270.00390.498444
42-0.14836-1.35970.088775
430.0968120.88730.188726
440.0227150.20820.417795
45-0.074342-0.68140.248761
46-0.023827-0.21840.413832
470.0033560.03080.487767
48-0.007683-0.07040.472016
49-0.025814-0.23660.406775
50-0.04962-0.45480.325222
510.054890.50310.308115
52-0.038688-0.35460.361894
530.0814450.74650.228739
54-0.040065-0.36720.357198
550.017450.15990.436659
560.001310.0120.495224
57-0.004285-0.03930.484382
580.0146820.13460.446639
59-0.047562-0.43590.332011
60-0.027176-0.24910.401956



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')