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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationWed, 17 Dec 2008 13:10:38 -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/17/t1229544721mdjt5keiufh5vg4.htm/, Retrieved Sun, 19 May 2024 08:00:54 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=34539, Retrieved Sun, 19 May 2024 08:00:54 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsVan Dooren Leen
Estimated Impact143
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [paper] [2008-12-17 20:10:38] [d175f84d503eb4f2a43145d5e67795b5] [Current]
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Dataseries X:
98.6
98.0
106.8
96.6
100.1
107.7
91.5
97.8
107.4
117.5
105.6
97.4
99.5
98.0
104.3
100.6
101.1
103.9
96.9
95.5
108.4
117.0
103.8
100.8
110.6
104.0
112.6
107.3
98.9
109.8
104.9
102.2
123.9
124.9
112.7
121.9
100.6
104.3
120.4
107.5
102.9
125.6
107.5
108.8
128.4
121.1
119.5
128.7
108.7
105.5
119.8
111.3
110.6
120.1
97.5
107.7
127.3
117.2
119.8
116.2
111.0
112.4
130.6
109.1
118.8
123.9
101.6
112.8
128.0
129.6
125.8
119.5
115.7
113.6
129.7
112.0
116.8
127.0
112.1
114.2
121.1
131.6
125.0
120.4
117.7
117.5
120.6
127.5
112.3
124.5
115.2
104.7
130.5




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34539&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34539&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34539&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 time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.3966513.82520.000118
20.267662.58120.005704
30.5191195.00621e-06
40.2299292.21740.014518
50.3414643.2930.000701
60.5541825.34430
70.2477622.38930.009449
80.2215742.13680.01762
90.4056833.91238.7e-05
100.1576561.52040.065905
110.3300243.18260.000992
120.6406536.17820
130.2525872.43590.008381
140.1481831.4290.078173
150.3105382.99470.00176
160.0702490.67750.2499
170.1784171.72060.044325
180.338993.26910.000757
190.0560.540.29523
200.0536450.51730.303074
210.1592741.5360.063969
22-0.013646-0.13160.447792
230.1515051.46110.073684
240.3257553.14150.001127
250.0820850.79160.215305
26-0.016507-0.15920.436933
270.0950320.91650.180898
28-0.088637-0.85480.197434
29-0.024506-0.23630.406849
300.1282951.23720.109558
31-0.073679-0.71050.239575
32-0.088116-0.84980.198819
33-0.028844-0.27820.390754
34-0.116102-1.11960.132874
35-0.00172-0.01660.493399
360.203511.96260.026342
37-0.013253-0.12780.449289
38-0.10656-1.02760.153395
39-0.006994-0.06740.473184
40-0.134557-1.29760.098813
41-0.108447-1.04580.149177
420.0042730.04120.48361
43-0.112677-1.08660.140007
44-0.146528-1.41310.080488
45-0.103083-0.99410.161377
46-0.175066-1.68830.047355
47-0.103967-1.00260.159322
480.072620.70030.242738
49-0.101449-0.97830.165222
50-0.185378-1.78770.038539
51-0.108343-1.04480.149407
52-0.185509-1.7890.038436
53-0.153165-1.47710.071517
54-0.089356-0.86170.195529
55-0.18007-1.73650.042891
56-0.223545-2.15580.016841
57-0.162093-1.56320.060705
58-0.260275-2.510.006901
59-0.185796-1.79180.038212
60-0.058065-0.560.288427

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.396651 & 3.8252 & 0.000118 \tabularnewline
2 & 0.26766 & 2.5812 & 0.005704 \tabularnewline
3 & 0.519119 & 5.0062 & 1e-06 \tabularnewline
4 & 0.229929 & 2.2174 & 0.014518 \tabularnewline
5 & 0.341464 & 3.293 & 0.000701 \tabularnewline
6 & 0.554182 & 5.3443 & 0 \tabularnewline
7 & 0.247762 & 2.3893 & 0.009449 \tabularnewline
8 & 0.221574 & 2.1368 & 0.01762 \tabularnewline
9 & 0.405683 & 3.9123 & 8.7e-05 \tabularnewline
10 & 0.157656 & 1.5204 & 0.065905 \tabularnewline
11 & 0.330024 & 3.1826 & 0.000992 \tabularnewline
12 & 0.640653 & 6.1782 & 0 \tabularnewline
13 & 0.252587 & 2.4359 & 0.008381 \tabularnewline
14 & 0.148183 & 1.429 & 0.078173 \tabularnewline
15 & 0.310538 & 2.9947 & 0.00176 \tabularnewline
16 & 0.070249 & 0.6775 & 0.2499 \tabularnewline
17 & 0.178417 & 1.7206 & 0.044325 \tabularnewline
18 & 0.33899 & 3.2691 & 0.000757 \tabularnewline
19 & 0.056 & 0.54 & 0.29523 \tabularnewline
20 & 0.053645 & 0.5173 & 0.303074 \tabularnewline
21 & 0.159274 & 1.536 & 0.063969 \tabularnewline
22 & -0.013646 & -0.1316 & 0.447792 \tabularnewline
23 & 0.151505 & 1.4611 & 0.073684 \tabularnewline
24 & 0.325755 & 3.1415 & 0.001127 \tabularnewline
25 & 0.082085 & 0.7916 & 0.215305 \tabularnewline
26 & -0.016507 & -0.1592 & 0.436933 \tabularnewline
27 & 0.095032 & 0.9165 & 0.180898 \tabularnewline
28 & -0.088637 & -0.8548 & 0.197434 \tabularnewline
29 & -0.024506 & -0.2363 & 0.406849 \tabularnewline
30 & 0.128295 & 1.2372 & 0.109558 \tabularnewline
31 & -0.073679 & -0.7105 & 0.239575 \tabularnewline
32 & -0.088116 & -0.8498 & 0.198819 \tabularnewline
33 & -0.028844 & -0.2782 & 0.390754 \tabularnewline
34 & -0.116102 & -1.1196 & 0.132874 \tabularnewline
35 & -0.00172 & -0.0166 & 0.493399 \tabularnewline
36 & 0.20351 & 1.9626 & 0.026342 \tabularnewline
37 & -0.013253 & -0.1278 & 0.449289 \tabularnewline
38 & -0.10656 & -1.0276 & 0.153395 \tabularnewline
39 & -0.006994 & -0.0674 & 0.473184 \tabularnewline
40 & -0.134557 & -1.2976 & 0.098813 \tabularnewline
41 & -0.108447 & -1.0458 & 0.149177 \tabularnewline
42 & 0.004273 & 0.0412 & 0.48361 \tabularnewline
43 & -0.112677 & -1.0866 & 0.140007 \tabularnewline
44 & -0.146528 & -1.4131 & 0.080488 \tabularnewline
45 & -0.103083 & -0.9941 & 0.161377 \tabularnewline
46 & -0.175066 & -1.6883 & 0.047355 \tabularnewline
47 & -0.103967 & -1.0026 & 0.159322 \tabularnewline
48 & 0.07262 & 0.7003 & 0.242738 \tabularnewline
49 & -0.101449 & -0.9783 & 0.165222 \tabularnewline
50 & -0.185378 & -1.7877 & 0.038539 \tabularnewline
51 & -0.108343 & -1.0448 & 0.149407 \tabularnewline
52 & -0.185509 & -1.789 & 0.038436 \tabularnewline
53 & -0.153165 & -1.4771 & 0.071517 \tabularnewline
54 & -0.089356 & -0.8617 & 0.195529 \tabularnewline
55 & -0.18007 & -1.7365 & 0.042891 \tabularnewline
56 & -0.223545 & -2.1558 & 0.016841 \tabularnewline
57 & -0.162093 & -1.5632 & 0.060705 \tabularnewline
58 & -0.260275 & -2.51 & 0.006901 \tabularnewline
59 & -0.185796 & -1.7918 & 0.038212 \tabularnewline
60 & -0.058065 & -0.56 & 0.288427 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34539&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]0.396651[/C][C]3.8252[/C][C]0.000118[/C][/ROW]
[ROW][C]2[/C][C]0.26766[/C][C]2.5812[/C][C]0.005704[/C][/ROW]
[ROW][C]3[/C][C]0.519119[/C][C]5.0062[/C][C]1e-06[/C][/ROW]
[ROW][C]4[/C][C]0.229929[/C][C]2.2174[/C][C]0.014518[/C][/ROW]
[ROW][C]5[/C][C]0.341464[/C][C]3.293[/C][C]0.000701[/C][/ROW]
[ROW][C]6[/C][C]0.554182[/C][C]5.3443[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.247762[/C][C]2.3893[/C][C]0.009449[/C][/ROW]
[ROW][C]8[/C][C]0.221574[/C][C]2.1368[/C][C]0.01762[/C][/ROW]
[ROW][C]9[/C][C]0.405683[/C][C]3.9123[/C][C]8.7e-05[/C][/ROW]
[ROW][C]10[/C][C]0.157656[/C][C]1.5204[/C][C]0.065905[/C][/ROW]
[ROW][C]11[/C][C]0.330024[/C][C]3.1826[/C][C]0.000992[/C][/ROW]
[ROW][C]12[/C][C]0.640653[/C][C]6.1782[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.252587[/C][C]2.4359[/C][C]0.008381[/C][/ROW]
[ROW][C]14[/C][C]0.148183[/C][C]1.429[/C][C]0.078173[/C][/ROW]
[ROW][C]15[/C][C]0.310538[/C][C]2.9947[/C][C]0.00176[/C][/ROW]
[ROW][C]16[/C][C]0.070249[/C][C]0.6775[/C][C]0.2499[/C][/ROW]
[ROW][C]17[/C][C]0.178417[/C][C]1.7206[/C][C]0.044325[/C][/ROW]
[ROW][C]18[/C][C]0.33899[/C][C]3.2691[/C][C]0.000757[/C][/ROW]
[ROW][C]19[/C][C]0.056[/C][C]0.54[/C][C]0.29523[/C][/ROW]
[ROW][C]20[/C][C]0.053645[/C][C]0.5173[/C][C]0.303074[/C][/ROW]
[ROW][C]21[/C][C]0.159274[/C][C]1.536[/C][C]0.063969[/C][/ROW]
[ROW][C]22[/C][C]-0.013646[/C][C]-0.1316[/C][C]0.447792[/C][/ROW]
[ROW][C]23[/C][C]0.151505[/C][C]1.4611[/C][C]0.073684[/C][/ROW]
[ROW][C]24[/C][C]0.325755[/C][C]3.1415[/C][C]0.001127[/C][/ROW]
[ROW][C]25[/C][C]0.082085[/C][C]0.7916[/C][C]0.215305[/C][/ROW]
[ROW][C]26[/C][C]-0.016507[/C][C]-0.1592[/C][C]0.436933[/C][/ROW]
[ROW][C]27[/C][C]0.095032[/C][C]0.9165[/C][C]0.180898[/C][/ROW]
[ROW][C]28[/C][C]-0.088637[/C][C]-0.8548[/C][C]0.197434[/C][/ROW]
[ROW][C]29[/C][C]-0.024506[/C][C]-0.2363[/C][C]0.406849[/C][/ROW]
[ROW][C]30[/C][C]0.128295[/C][C]1.2372[/C][C]0.109558[/C][/ROW]
[ROW][C]31[/C][C]-0.073679[/C][C]-0.7105[/C][C]0.239575[/C][/ROW]
[ROW][C]32[/C][C]-0.088116[/C][C]-0.8498[/C][C]0.198819[/C][/ROW]
[ROW][C]33[/C][C]-0.028844[/C][C]-0.2782[/C][C]0.390754[/C][/ROW]
[ROW][C]34[/C][C]-0.116102[/C][C]-1.1196[/C][C]0.132874[/C][/ROW]
[ROW][C]35[/C][C]-0.00172[/C][C]-0.0166[/C][C]0.493399[/C][/ROW]
[ROW][C]36[/C][C]0.20351[/C][C]1.9626[/C][C]0.026342[/C][/ROW]
[ROW][C]37[/C][C]-0.013253[/C][C]-0.1278[/C][C]0.449289[/C][/ROW]
[ROW][C]38[/C][C]-0.10656[/C][C]-1.0276[/C][C]0.153395[/C][/ROW]
[ROW][C]39[/C][C]-0.006994[/C][C]-0.0674[/C][C]0.473184[/C][/ROW]
[ROW][C]40[/C][C]-0.134557[/C][C]-1.2976[/C][C]0.098813[/C][/ROW]
[ROW][C]41[/C][C]-0.108447[/C][C]-1.0458[/C][C]0.149177[/C][/ROW]
[ROW][C]42[/C][C]0.004273[/C][C]0.0412[/C][C]0.48361[/C][/ROW]
[ROW][C]43[/C][C]-0.112677[/C][C]-1.0866[/C][C]0.140007[/C][/ROW]
[ROW][C]44[/C][C]-0.146528[/C][C]-1.4131[/C][C]0.080488[/C][/ROW]
[ROW][C]45[/C][C]-0.103083[/C][C]-0.9941[/C][C]0.161377[/C][/ROW]
[ROW][C]46[/C][C]-0.175066[/C][C]-1.6883[/C][C]0.047355[/C][/ROW]
[ROW][C]47[/C][C]-0.103967[/C][C]-1.0026[/C][C]0.159322[/C][/ROW]
[ROW][C]48[/C][C]0.07262[/C][C]0.7003[/C][C]0.242738[/C][/ROW]
[ROW][C]49[/C][C]-0.101449[/C][C]-0.9783[/C][C]0.165222[/C][/ROW]
[ROW][C]50[/C][C]-0.185378[/C][C]-1.7877[/C][C]0.038539[/C][/ROW]
[ROW][C]51[/C][C]-0.108343[/C][C]-1.0448[/C][C]0.149407[/C][/ROW]
[ROW][C]52[/C][C]-0.185509[/C][C]-1.789[/C][C]0.038436[/C][/ROW]
[ROW][C]53[/C][C]-0.153165[/C][C]-1.4771[/C][C]0.071517[/C][/ROW]
[ROW][C]54[/C][C]-0.089356[/C][C]-0.8617[/C][C]0.195529[/C][/ROW]
[ROW][C]55[/C][C]-0.18007[/C][C]-1.7365[/C][C]0.042891[/C][/ROW]
[ROW][C]56[/C][C]-0.223545[/C][C]-2.1558[/C][C]0.016841[/C][/ROW]
[ROW][C]57[/C][C]-0.162093[/C][C]-1.5632[/C][C]0.060705[/C][/ROW]
[ROW][C]58[/C][C]-0.260275[/C][C]-2.51[/C][C]0.006901[/C][/ROW]
[ROW][C]59[/C][C]-0.185796[/C][C]-1.7918[/C][C]0.038212[/C][/ROW]
[ROW][C]60[/C][C]-0.058065[/C][C]-0.56[/C][C]0.288427[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34539&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34539&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
10.3966513.82520.000118
20.267662.58120.005704
30.5191195.00621e-06
40.2299292.21740.014518
50.3414643.2930.000701
60.5541825.34430
70.2477622.38930.009449
80.2215742.13680.01762
90.4056833.91238.7e-05
100.1576561.52040.065905
110.3300243.18260.000992
120.6406536.17820
130.2525872.43590.008381
140.1481831.4290.078173
150.3105382.99470.00176
160.0702490.67750.2499
170.1784171.72060.044325
180.338993.26910.000757
190.0560.540.29523
200.0536450.51730.303074
210.1592741.5360.063969
22-0.013646-0.13160.447792
230.1515051.46110.073684
240.3257553.14150.001127
250.0820850.79160.215305
26-0.016507-0.15920.436933
270.0950320.91650.180898
28-0.088637-0.85480.197434
29-0.024506-0.23630.406849
300.1282951.23720.109558
31-0.073679-0.71050.239575
32-0.088116-0.84980.198819
33-0.028844-0.27820.390754
34-0.116102-1.11960.132874
35-0.00172-0.01660.493399
360.203511.96260.026342
37-0.013253-0.12780.449289
38-0.10656-1.02760.153395
39-0.006994-0.06740.473184
40-0.134557-1.29760.098813
41-0.108447-1.04580.149177
420.0042730.04120.48361
43-0.112677-1.08660.140007
44-0.146528-1.41310.080488
45-0.103083-0.99410.161377
46-0.175066-1.68830.047355
47-0.103967-1.00260.159322
480.072620.70030.242738
49-0.101449-0.97830.165222
50-0.185378-1.78770.038539
51-0.108343-1.04480.149407
52-0.185509-1.7890.038436
53-0.153165-1.47710.071517
54-0.089356-0.86170.195529
55-0.18007-1.73650.042891
56-0.223545-2.15580.016841
57-0.162093-1.56320.060705
58-0.260275-2.510.006901
59-0.185796-1.79180.038212
60-0.058065-0.560.288427







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.3966513.82520.000118
20.1309271.26260.104942
30.4526794.36551.6e-05
4-0.138323-1.33390.092741
50.3087292.97730.001854
60.249022.40150.009159
7-0.042074-0.40570.342929
8-0.075452-0.72760.234333
90.1129731.08950.13938
10-0.123911-1.1950.117571
110.2448442.36120.010152
120.3861043.72350.000168
13-0.063166-0.60920.271954
14-0.278725-2.68790.00426
15-0.136538-1.31670.095583
16-0.153763-1.48280.070749
17-0.068335-0.6590.255764
18-0.059018-0.56920.285313
190.0209510.2020.420163
20-0.047106-0.45430.325345
21-0.038332-0.36970.356239
220.0054260.05230.479191
230.0460870.44440.328876
24-0.013927-0.13430.446724
250.1033280.99650.160807
26-0.109961-1.06040.14585
270.0466430.44980.326946
28-0.137539-1.32640.093981
29-0.048821-0.47080.319438
30-0.051289-0.49460.311021
310.1153051.1120.13451
320.0160890.15520.438518
330.0053470.05160.479492
340.0251540.24260.404433
350.0105370.10160.459639
360.1624361.56650.060317
37-0.015277-0.14730.441597
38-0.035069-0.33820.367991
39-0.052197-0.50340.307947
400.007260.070.472167
41-0.076308-0.73590.231825
42-0.131069-1.2640.104697
430.0273350.26360.396332
440.0373860.36050.35963
45-0.024893-0.24010.405406
46-0.032253-0.3110.378236
47-0.105357-1.0160.156127
48-0.059688-0.57560.283134
49-0.125992-1.2150.113717
500.0020640.01990.492079
51-0.039504-0.3810.35205
520.0740620.71420.238439
530.0789090.7610.224299
54-0.023988-0.23130.408781
55-0.047576-0.45880.323723
56-0.065584-0.63250.264317
570.01560.15040.440372
58-0.108828-1.04950.148335
59-0.02238-0.21580.414797
60-0.021666-0.20890.417475

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.396651 & 3.8252 & 0.000118 \tabularnewline
2 & 0.130927 & 1.2626 & 0.104942 \tabularnewline
3 & 0.452679 & 4.3655 & 1.6e-05 \tabularnewline
4 & -0.138323 & -1.3339 & 0.092741 \tabularnewline
5 & 0.308729 & 2.9773 & 0.001854 \tabularnewline
6 & 0.24902 & 2.4015 & 0.009159 \tabularnewline
7 & -0.042074 & -0.4057 & 0.342929 \tabularnewline
8 & -0.075452 & -0.7276 & 0.234333 \tabularnewline
9 & 0.112973 & 1.0895 & 0.13938 \tabularnewline
10 & -0.123911 & -1.195 & 0.117571 \tabularnewline
11 & 0.244844 & 2.3612 & 0.010152 \tabularnewline
12 & 0.386104 & 3.7235 & 0.000168 \tabularnewline
13 & -0.063166 & -0.6092 & 0.271954 \tabularnewline
14 & -0.278725 & -2.6879 & 0.00426 \tabularnewline
15 & -0.136538 & -1.3167 & 0.095583 \tabularnewline
16 & -0.153763 & -1.4828 & 0.070749 \tabularnewline
17 & -0.068335 & -0.659 & 0.255764 \tabularnewline
18 & -0.059018 & -0.5692 & 0.285313 \tabularnewline
19 & 0.020951 & 0.202 & 0.420163 \tabularnewline
20 & -0.047106 & -0.4543 & 0.325345 \tabularnewline
21 & -0.038332 & -0.3697 & 0.356239 \tabularnewline
22 & 0.005426 & 0.0523 & 0.479191 \tabularnewline
23 & 0.046087 & 0.4444 & 0.328876 \tabularnewline
24 & -0.013927 & -0.1343 & 0.446724 \tabularnewline
25 & 0.103328 & 0.9965 & 0.160807 \tabularnewline
26 & -0.109961 & -1.0604 & 0.14585 \tabularnewline
27 & 0.046643 & 0.4498 & 0.326946 \tabularnewline
28 & -0.137539 & -1.3264 & 0.093981 \tabularnewline
29 & -0.048821 & -0.4708 & 0.319438 \tabularnewline
30 & -0.051289 & -0.4946 & 0.311021 \tabularnewline
31 & 0.115305 & 1.112 & 0.13451 \tabularnewline
32 & 0.016089 & 0.1552 & 0.438518 \tabularnewline
33 & 0.005347 & 0.0516 & 0.479492 \tabularnewline
34 & 0.025154 & 0.2426 & 0.404433 \tabularnewline
35 & 0.010537 & 0.1016 & 0.459639 \tabularnewline
36 & 0.162436 & 1.5665 & 0.060317 \tabularnewline
37 & -0.015277 & -0.1473 & 0.441597 \tabularnewline
38 & -0.035069 & -0.3382 & 0.367991 \tabularnewline
39 & -0.052197 & -0.5034 & 0.307947 \tabularnewline
40 & 0.00726 & 0.07 & 0.472167 \tabularnewline
41 & -0.076308 & -0.7359 & 0.231825 \tabularnewline
42 & -0.131069 & -1.264 & 0.104697 \tabularnewline
43 & 0.027335 & 0.2636 & 0.396332 \tabularnewline
44 & 0.037386 & 0.3605 & 0.35963 \tabularnewline
45 & -0.024893 & -0.2401 & 0.405406 \tabularnewline
46 & -0.032253 & -0.311 & 0.378236 \tabularnewline
47 & -0.105357 & -1.016 & 0.156127 \tabularnewline
48 & -0.059688 & -0.5756 & 0.283134 \tabularnewline
49 & -0.125992 & -1.215 & 0.113717 \tabularnewline
50 & 0.002064 & 0.0199 & 0.492079 \tabularnewline
51 & -0.039504 & -0.381 & 0.35205 \tabularnewline
52 & 0.074062 & 0.7142 & 0.238439 \tabularnewline
53 & 0.078909 & 0.761 & 0.224299 \tabularnewline
54 & -0.023988 & -0.2313 & 0.408781 \tabularnewline
55 & -0.047576 & -0.4588 & 0.323723 \tabularnewline
56 & -0.065584 & -0.6325 & 0.264317 \tabularnewline
57 & 0.0156 & 0.1504 & 0.440372 \tabularnewline
58 & -0.108828 & -1.0495 & 0.148335 \tabularnewline
59 & -0.02238 & -0.2158 & 0.414797 \tabularnewline
60 & -0.021666 & -0.2089 & 0.417475 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34539&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]0.396651[/C][C]3.8252[/C][C]0.000118[/C][/ROW]
[ROW][C]2[/C][C]0.130927[/C][C]1.2626[/C][C]0.104942[/C][/ROW]
[ROW][C]3[/C][C]0.452679[/C][C]4.3655[/C][C]1.6e-05[/C][/ROW]
[ROW][C]4[/C][C]-0.138323[/C][C]-1.3339[/C][C]0.092741[/C][/ROW]
[ROW][C]5[/C][C]0.308729[/C][C]2.9773[/C][C]0.001854[/C][/ROW]
[ROW][C]6[/C][C]0.24902[/C][C]2.4015[/C][C]0.009159[/C][/ROW]
[ROW][C]7[/C][C]-0.042074[/C][C]-0.4057[/C][C]0.342929[/C][/ROW]
[ROW][C]8[/C][C]-0.075452[/C][C]-0.7276[/C][C]0.234333[/C][/ROW]
[ROW][C]9[/C][C]0.112973[/C][C]1.0895[/C][C]0.13938[/C][/ROW]
[ROW][C]10[/C][C]-0.123911[/C][C]-1.195[/C][C]0.117571[/C][/ROW]
[ROW][C]11[/C][C]0.244844[/C][C]2.3612[/C][C]0.010152[/C][/ROW]
[ROW][C]12[/C][C]0.386104[/C][C]3.7235[/C][C]0.000168[/C][/ROW]
[ROW][C]13[/C][C]-0.063166[/C][C]-0.6092[/C][C]0.271954[/C][/ROW]
[ROW][C]14[/C][C]-0.278725[/C][C]-2.6879[/C][C]0.00426[/C][/ROW]
[ROW][C]15[/C][C]-0.136538[/C][C]-1.3167[/C][C]0.095583[/C][/ROW]
[ROW][C]16[/C][C]-0.153763[/C][C]-1.4828[/C][C]0.070749[/C][/ROW]
[ROW][C]17[/C][C]-0.068335[/C][C]-0.659[/C][C]0.255764[/C][/ROW]
[ROW][C]18[/C][C]-0.059018[/C][C]-0.5692[/C][C]0.285313[/C][/ROW]
[ROW][C]19[/C][C]0.020951[/C][C]0.202[/C][C]0.420163[/C][/ROW]
[ROW][C]20[/C][C]-0.047106[/C][C]-0.4543[/C][C]0.325345[/C][/ROW]
[ROW][C]21[/C][C]-0.038332[/C][C]-0.3697[/C][C]0.356239[/C][/ROW]
[ROW][C]22[/C][C]0.005426[/C][C]0.0523[/C][C]0.479191[/C][/ROW]
[ROW][C]23[/C][C]0.046087[/C][C]0.4444[/C][C]0.328876[/C][/ROW]
[ROW][C]24[/C][C]-0.013927[/C][C]-0.1343[/C][C]0.446724[/C][/ROW]
[ROW][C]25[/C][C]0.103328[/C][C]0.9965[/C][C]0.160807[/C][/ROW]
[ROW][C]26[/C][C]-0.109961[/C][C]-1.0604[/C][C]0.14585[/C][/ROW]
[ROW][C]27[/C][C]0.046643[/C][C]0.4498[/C][C]0.326946[/C][/ROW]
[ROW][C]28[/C][C]-0.137539[/C][C]-1.3264[/C][C]0.093981[/C][/ROW]
[ROW][C]29[/C][C]-0.048821[/C][C]-0.4708[/C][C]0.319438[/C][/ROW]
[ROW][C]30[/C][C]-0.051289[/C][C]-0.4946[/C][C]0.311021[/C][/ROW]
[ROW][C]31[/C][C]0.115305[/C][C]1.112[/C][C]0.13451[/C][/ROW]
[ROW][C]32[/C][C]0.016089[/C][C]0.1552[/C][C]0.438518[/C][/ROW]
[ROW][C]33[/C][C]0.005347[/C][C]0.0516[/C][C]0.479492[/C][/ROW]
[ROW][C]34[/C][C]0.025154[/C][C]0.2426[/C][C]0.404433[/C][/ROW]
[ROW][C]35[/C][C]0.010537[/C][C]0.1016[/C][C]0.459639[/C][/ROW]
[ROW][C]36[/C][C]0.162436[/C][C]1.5665[/C][C]0.060317[/C][/ROW]
[ROW][C]37[/C][C]-0.015277[/C][C]-0.1473[/C][C]0.441597[/C][/ROW]
[ROW][C]38[/C][C]-0.035069[/C][C]-0.3382[/C][C]0.367991[/C][/ROW]
[ROW][C]39[/C][C]-0.052197[/C][C]-0.5034[/C][C]0.307947[/C][/ROW]
[ROW][C]40[/C][C]0.00726[/C][C]0.07[/C][C]0.472167[/C][/ROW]
[ROW][C]41[/C][C]-0.076308[/C][C]-0.7359[/C][C]0.231825[/C][/ROW]
[ROW][C]42[/C][C]-0.131069[/C][C]-1.264[/C][C]0.104697[/C][/ROW]
[ROW][C]43[/C][C]0.027335[/C][C]0.2636[/C][C]0.396332[/C][/ROW]
[ROW][C]44[/C][C]0.037386[/C][C]0.3605[/C][C]0.35963[/C][/ROW]
[ROW][C]45[/C][C]-0.024893[/C][C]-0.2401[/C][C]0.405406[/C][/ROW]
[ROW][C]46[/C][C]-0.032253[/C][C]-0.311[/C][C]0.378236[/C][/ROW]
[ROW][C]47[/C][C]-0.105357[/C][C]-1.016[/C][C]0.156127[/C][/ROW]
[ROW][C]48[/C][C]-0.059688[/C][C]-0.5756[/C][C]0.283134[/C][/ROW]
[ROW][C]49[/C][C]-0.125992[/C][C]-1.215[/C][C]0.113717[/C][/ROW]
[ROW][C]50[/C][C]0.002064[/C][C]0.0199[/C][C]0.492079[/C][/ROW]
[ROW][C]51[/C][C]-0.039504[/C][C]-0.381[/C][C]0.35205[/C][/ROW]
[ROW][C]52[/C][C]0.074062[/C][C]0.7142[/C][C]0.238439[/C][/ROW]
[ROW][C]53[/C][C]0.078909[/C][C]0.761[/C][C]0.224299[/C][/ROW]
[ROW][C]54[/C][C]-0.023988[/C][C]-0.2313[/C][C]0.408781[/C][/ROW]
[ROW][C]55[/C][C]-0.047576[/C][C]-0.4588[/C][C]0.323723[/C][/ROW]
[ROW][C]56[/C][C]-0.065584[/C][C]-0.6325[/C][C]0.264317[/C][/ROW]
[ROW][C]57[/C][C]0.0156[/C][C]0.1504[/C][C]0.440372[/C][/ROW]
[ROW][C]58[/C][C]-0.108828[/C][C]-1.0495[/C][C]0.148335[/C][/ROW]
[ROW][C]59[/C][C]-0.02238[/C][C]-0.2158[/C][C]0.414797[/C][/ROW]
[ROW][C]60[/C][C]-0.021666[/C][C]-0.2089[/C][C]0.417475[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34539&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34539&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
10.3966513.82520.000118
20.1309271.26260.104942
30.4526794.36551.6e-05
4-0.138323-1.33390.092741
50.3087292.97730.001854
60.249022.40150.009159
7-0.042074-0.40570.342929
8-0.075452-0.72760.234333
90.1129731.08950.13938
10-0.123911-1.1950.117571
110.2448442.36120.010152
120.3861043.72350.000168
13-0.063166-0.60920.271954
14-0.278725-2.68790.00426
15-0.136538-1.31670.095583
16-0.153763-1.48280.070749
17-0.068335-0.6590.255764
18-0.059018-0.56920.285313
190.0209510.2020.420163
20-0.047106-0.45430.325345
21-0.038332-0.36970.356239
220.0054260.05230.479191
230.0460870.44440.328876
24-0.013927-0.13430.446724
250.1033280.99650.160807
26-0.109961-1.06040.14585
270.0466430.44980.326946
28-0.137539-1.32640.093981
29-0.048821-0.47080.319438
30-0.051289-0.49460.311021
310.1153051.1120.13451
320.0160890.15520.438518
330.0053470.05160.479492
340.0251540.24260.404433
350.0105370.10160.459639
360.1624361.56650.060317
37-0.015277-0.14730.441597
38-0.035069-0.33820.367991
39-0.052197-0.50340.307947
400.007260.070.472167
41-0.076308-0.73590.231825
42-0.131069-1.2640.104697
430.0273350.26360.396332
440.0373860.36050.35963
45-0.024893-0.24010.405406
46-0.032253-0.3110.378236
47-0.105357-1.0160.156127
48-0.059688-0.57560.283134
49-0.125992-1.2150.113717
500.0020640.01990.492079
51-0.039504-0.3810.35205
520.0740620.71420.238439
530.0789090.7610.224299
54-0.023988-0.23130.408781
55-0.047576-0.45880.323723
56-0.065584-0.63250.264317
570.01560.15040.440372
58-0.108828-1.04950.148335
59-0.02238-0.21580.414797
60-0.021666-0.20890.417475



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')