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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, 29 Nov 2007 03:21:37 -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/2007/Nov/29/t1196331096rf65x7kql17sqhm.htm/, Retrieved Fri, 03 May 2024 11:22:13 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7368, Retrieved Fri, 03 May 2024 11:22:13 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsChristel Stuer, Steven Coomans
Estimated Impact245
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [WS 4 - Q2 - metho...] [2007-11-29 10:21:37] [7071e8240f1069aec69cdda95d3fa1f8] [Current]
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Dataseries X:
100,6
101,2
93,1
84,2
85,8
91,8
92,4
80,3
79,7
62,5
57,1
100,8
100,7
86,2
83,2
71,7
77,5
89,8
80,3
78,7
93,8
57,6
60,6
91
85,3
77,4
77,3
68,3
69,9
81,7
75,1
69,9
84
54,3
60
89,9
77
85,3
77,6
69,2
75,5
85,7
72,2
79,9
85,3
52,2
61,2
82,4
85,4
78,2
70,2
70,2
69,3
77,5
66,1
69
79,2
58,2
64,5
76,4




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7368&T=0

[TABLE]
[ROW][C]Summary of compuational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7368&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7368&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
017.7460
10.2975832.30510.012319
2-0.107937-0.83610.796785
30.0927460.71840.237647
4-0.039306-0.30450.619087
50.1646871.27570.103496
60.3989323.09010.001516
70.0753960.5840.2807
8-0.073207-0.56710.713604
9-0.010405-0.08060.531986
10-0.219053-1.69680.952539
110.2086991.61660.055608
120.6101994.72667e-06
130.0692310.53630.29688
14-0.13891-1.0760.856881
15-0.025764-0.19960.578752
16-0.124036-0.96080.82974
170.051710.40050.34509
180.2322821.79920.038505
190.0095030.07360.470782
20-0.082685-0.64050.737848
21-0.072144-0.55880.71082
22-0.237079-1.83640.964374
230.1194590.92530.179252
240.3719112.88080.002747
25-0.007958-0.06160.524475
26-0.110842-0.85860.803006
27-0.103058-0.79830.786074
28-0.145543-1.12740.867963
290.0034060.02640.489519
300.0737740.57150.284915
31-0.052261-0.40480.656471
32-0.079258-0.61390.729208
33-0.142198-1.10150.862453
34-0.211002-1.63440.946296
350.0586550.45430.325611
360.2036771.57770.059949
370.0135230.10470.458462
38-0.115327-0.89330.812371
39-0.114542-0.88720.810753
40-0.11073-0.85770.802767
41-0.053172-0.41190.659048
42-0.00427-0.03310.513137
43-0.058569-0.45370.67415
44-0.102648-0.79510.785158
45-0.146969-1.13840.870265
46-0.13085-1.01360.842568
470.0072840.05640.477597
480.0351340.27210.393222
49-0.050784-0.39340.65228
50-0.085139-0.65950.743946
51-0.095596-0.74050.769054
52-0.103977-0.80540.788116
53-0.089064-0.68990.753537
54-0.081434-0.63080.734712
55-0.065307-0.50590.692597
56-0.074051-0.57360.715807
57-0.090512-0.70110.757026
58-0.038759-0.30020.617479
59-0.003445-0.02670.5106

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 7.746 & 0 \tabularnewline
1 & 0.297583 & 2.3051 & 0.012319 \tabularnewline
2 & -0.107937 & -0.8361 & 0.796785 \tabularnewline
3 & 0.092746 & 0.7184 & 0.237647 \tabularnewline
4 & -0.039306 & -0.3045 & 0.619087 \tabularnewline
5 & 0.164687 & 1.2757 & 0.103496 \tabularnewline
6 & 0.398932 & 3.0901 & 0.001516 \tabularnewline
7 & 0.075396 & 0.584 & 0.2807 \tabularnewline
8 & -0.073207 & -0.5671 & 0.713604 \tabularnewline
9 & -0.010405 & -0.0806 & 0.531986 \tabularnewline
10 & -0.219053 & -1.6968 & 0.952539 \tabularnewline
11 & 0.208699 & 1.6166 & 0.055608 \tabularnewline
12 & 0.610199 & 4.7266 & 7e-06 \tabularnewline
13 & 0.069231 & 0.5363 & 0.29688 \tabularnewline
14 & -0.13891 & -1.076 & 0.856881 \tabularnewline
15 & -0.025764 & -0.1996 & 0.578752 \tabularnewline
16 & -0.124036 & -0.9608 & 0.82974 \tabularnewline
17 & 0.05171 & 0.4005 & 0.34509 \tabularnewline
18 & 0.232282 & 1.7992 & 0.038505 \tabularnewline
19 & 0.009503 & 0.0736 & 0.470782 \tabularnewline
20 & -0.082685 & -0.6405 & 0.737848 \tabularnewline
21 & -0.072144 & -0.5588 & 0.71082 \tabularnewline
22 & -0.237079 & -1.8364 & 0.964374 \tabularnewline
23 & 0.119459 & 0.9253 & 0.179252 \tabularnewline
24 & 0.371911 & 2.8808 & 0.002747 \tabularnewline
25 & -0.007958 & -0.0616 & 0.524475 \tabularnewline
26 & -0.110842 & -0.8586 & 0.803006 \tabularnewline
27 & -0.103058 & -0.7983 & 0.786074 \tabularnewline
28 & -0.145543 & -1.1274 & 0.867963 \tabularnewline
29 & 0.003406 & 0.0264 & 0.489519 \tabularnewline
30 & 0.073774 & 0.5715 & 0.284915 \tabularnewline
31 & -0.052261 & -0.4048 & 0.656471 \tabularnewline
32 & -0.079258 & -0.6139 & 0.729208 \tabularnewline
33 & -0.142198 & -1.1015 & 0.862453 \tabularnewline
34 & -0.211002 & -1.6344 & 0.946296 \tabularnewline
35 & 0.058655 & 0.4543 & 0.325611 \tabularnewline
36 & 0.203677 & 1.5777 & 0.059949 \tabularnewline
37 & 0.013523 & 0.1047 & 0.458462 \tabularnewline
38 & -0.115327 & -0.8933 & 0.812371 \tabularnewline
39 & -0.114542 & -0.8872 & 0.810753 \tabularnewline
40 & -0.11073 & -0.8577 & 0.802767 \tabularnewline
41 & -0.053172 & -0.4119 & 0.659048 \tabularnewline
42 & -0.00427 & -0.0331 & 0.513137 \tabularnewline
43 & -0.058569 & -0.4537 & 0.67415 \tabularnewline
44 & -0.102648 & -0.7951 & 0.785158 \tabularnewline
45 & -0.146969 & -1.1384 & 0.870265 \tabularnewline
46 & -0.13085 & -1.0136 & 0.842568 \tabularnewline
47 & 0.007284 & 0.0564 & 0.477597 \tabularnewline
48 & 0.035134 & 0.2721 & 0.393222 \tabularnewline
49 & -0.050784 & -0.3934 & 0.65228 \tabularnewline
50 & -0.085139 & -0.6595 & 0.743946 \tabularnewline
51 & -0.095596 & -0.7405 & 0.769054 \tabularnewline
52 & -0.103977 & -0.8054 & 0.788116 \tabularnewline
53 & -0.089064 & -0.6899 & 0.753537 \tabularnewline
54 & -0.081434 & -0.6308 & 0.734712 \tabularnewline
55 & -0.065307 & -0.5059 & 0.692597 \tabularnewline
56 & -0.074051 & -0.5736 & 0.715807 \tabularnewline
57 & -0.090512 & -0.7011 & 0.757026 \tabularnewline
58 & -0.038759 & -0.3002 & 0.617479 \tabularnewline
59 & -0.003445 & -0.0267 & 0.5106 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7368&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]0[/C][C]1[/C][C]7.746[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.297583[/C][C]2.3051[/C][C]0.012319[/C][/ROW]
[ROW][C]2[/C][C]-0.107937[/C][C]-0.8361[/C][C]0.796785[/C][/ROW]
[ROW][C]3[/C][C]0.092746[/C][C]0.7184[/C][C]0.237647[/C][/ROW]
[ROW][C]4[/C][C]-0.039306[/C][C]-0.3045[/C][C]0.619087[/C][/ROW]
[ROW][C]5[/C][C]0.164687[/C][C]1.2757[/C][C]0.103496[/C][/ROW]
[ROW][C]6[/C][C]0.398932[/C][C]3.0901[/C][C]0.001516[/C][/ROW]
[ROW][C]7[/C][C]0.075396[/C][C]0.584[/C][C]0.2807[/C][/ROW]
[ROW][C]8[/C][C]-0.073207[/C][C]-0.5671[/C][C]0.713604[/C][/ROW]
[ROW][C]9[/C][C]-0.010405[/C][C]-0.0806[/C][C]0.531986[/C][/ROW]
[ROW][C]10[/C][C]-0.219053[/C][C]-1.6968[/C][C]0.952539[/C][/ROW]
[ROW][C]11[/C][C]0.208699[/C][C]1.6166[/C][C]0.055608[/C][/ROW]
[ROW][C]12[/C][C]0.610199[/C][C]4.7266[/C][C]7e-06[/C][/ROW]
[ROW][C]13[/C][C]0.069231[/C][C]0.5363[/C][C]0.29688[/C][/ROW]
[ROW][C]14[/C][C]-0.13891[/C][C]-1.076[/C][C]0.856881[/C][/ROW]
[ROW][C]15[/C][C]-0.025764[/C][C]-0.1996[/C][C]0.578752[/C][/ROW]
[ROW][C]16[/C][C]-0.124036[/C][C]-0.9608[/C][C]0.82974[/C][/ROW]
[ROW][C]17[/C][C]0.05171[/C][C]0.4005[/C][C]0.34509[/C][/ROW]
[ROW][C]18[/C][C]0.232282[/C][C]1.7992[/C][C]0.038505[/C][/ROW]
[ROW][C]19[/C][C]0.009503[/C][C]0.0736[/C][C]0.470782[/C][/ROW]
[ROW][C]20[/C][C]-0.082685[/C][C]-0.6405[/C][C]0.737848[/C][/ROW]
[ROW][C]21[/C][C]-0.072144[/C][C]-0.5588[/C][C]0.71082[/C][/ROW]
[ROW][C]22[/C][C]-0.237079[/C][C]-1.8364[/C][C]0.964374[/C][/ROW]
[ROW][C]23[/C][C]0.119459[/C][C]0.9253[/C][C]0.179252[/C][/ROW]
[ROW][C]24[/C][C]0.371911[/C][C]2.8808[/C][C]0.002747[/C][/ROW]
[ROW][C]25[/C][C]-0.007958[/C][C]-0.0616[/C][C]0.524475[/C][/ROW]
[ROW][C]26[/C][C]-0.110842[/C][C]-0.8586[/C][C]0.803006[/C][/ROW]
[ROW][C]27[/C][C]-0.103058[/C][C]-0.7983[/C][C]0.786074[/C][/ROW]
[ROW][C]28[/C][C]-0.145543[/C][C]-1.1274[/C][C]0.867963[/C][/ROW]
[ROW][C]29[/C][C]0.003406[/C][C]0.0264[/C][C]0.489519[/C][/ROW]
[ROW][C]30[/C][C]0.073774[/C][C]0.5715[/C][C]0.284915[/C][/ROW]
[ROW][C]31[/C][C]-0.052261[/C][C]-0.4048[/C][C]0.656471[/C][/ROW]
[ROW][C]32[/C][C]-0.079258[/C][C]-0.6139[/C][C]0.729208[/C][/ROW]
[ROW][C]33[/C][C]-0.142198[/C][C]-1.1015[/C][C]0.862453[/C][/ROW]
[ROW][C]34[/C][C]-0.211002[/C][C]-1.6344[/C][C]0.946296[/C][/ROW]
[ROW][C]35[/C][C]0.058655[/C][C]0.4543[/C][C]0.325611[/C][/ROW]
[ROW][C]36[/C][C]0.203677[/C][C]1.5777[/C][C]0.059949[/C][/ROW]
[ROW][C]37[/C][C]0.013523[/C][C]0.1047[/C][C]0.458462[/C][/ROW]
[ROW][C]38[/C][C]-0.115327[/C][C]-0.8933[/C][C]0.812371[/C][/ROW]
[ROW][C]39[/C][C]-0.114542[/C][C]-0.8872[/C][C]0.810753[/C][/ROW]
[ROW][C]40[/C][C]-0.11073[/C][C]-0.8577[/C][C]0.802767[/C][/ROW]
[ROW][C]41[/C][C]-0.053172[/C][C]-0.4119[/C][C]0.659048[/C][/ROW]
[ROW][C]42[/C][C]-0.00427[/C][C]-0.0331[/C][C]0.513137[/C][/ROW]
[ROW][C]43[/C][C]-0.058569[/C][C]-0.4537[/C][C]0.67415[/C][/ROW]
[ROW][C]44[/C][C]-0.102648[/C][C]-0.7951[/C][C]0.785158[/C][/ROW]
[ROW][C]45[/C][C]-0.146969[/C][C]-1.1384[/C][C]0.870265[/C][/ROW]
[ROW][C]46[/C][C]-0.13085[/C][C]-1.0136[/C][C]0.842568[/C][/ROW]
[ROW][C]47[/C][C]0.007284[/C][C]0.0564[/C][C]0.477597[/C][/ROW]
[ROW][C]48[/C][C]0.035134[/C][C]0.2721[/C][C]0.393222[/C][/ROW]
[ROW][C]49[/C][C]-0.050784[/C][C]-0.3934[/C][C]0.65228[/C][/ROW]
[ROW][C]50[/C][C]-0.085139[/C][C]-0.6595[/C][C]0.743946[/C][/ROW]
[ROW][C]51[/C][C]-0.095596[/C][C]-0.7405[/C][C]0.769054[/C][/ROW]
[ROW][C]52[/C][C]-0.103977[/C][C]-0.8054[/C][C]0.788116[/C][/ROW]
[ROW][C]53[/C][C]-0.089064[/C][C]-0.6899[/C][C]0.753537[/C][/ROW]
[ROW][C]54[/C][C]-0.081434[/C][C]-0.6308[/C][C]0.734712[/C][/ROW]
[ROW][C]55[/C][C]-0.065307[/C][C]-0.5059[/C][C]0.692597[/C][/ROW]
[ROW][C]56[/C][C]-0.074051[/C][C]-0.5736[/C][C]0.715807[/C][/ROW]
[ROW][C]57[/C][C]-0.090512[/C][C]-0.7011[/C][C]0.757026[/C][/ROW]
[ROW][C]58[/C][C]-0.038759[/C][C]-0.3002[/C][C]0.617479[/C][/ROW]
[ROW][C]59[/C][C]-0.003445[/C][C]-0.0267[/C][C]0.5106[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7368&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7368&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
017.7460
10.2975832.30510.012319
2-0.107937-0.83610.796785
30.0927460.71840.237647
4-0.039306-0.30450.619087
50.1646871.27570.103496
60.3989323.09010.001516
70.0753960.5840.2807
8-0.073207-0.56710.713604
9-0.010405-0.08060.531986
10-0.219053-1.69680.952539
110.2086991.61660.055608
120.6101994.72667e-06
130.0692310.53630.29688
14-0.13891-1.0760.856881
15-0.025764-0.19960.578752
16-0.124036-0.96080.82974
170.051710.40050.34509
180.2322821.79920.038505
190.0095030.07360.470782
20-0.082685-0.64050.737848
21-0.072144-0.55880.71082
22-0.237079-1.83640.964374
230.1194590.92530.179252
240.3719112.88080.002747
25-0.007958-0.06160.524475
26-0.110842-0.85860.803006
27-0.103058-0.79830.786074
28-0.145543-1.12740.867963
290.0034060.02640.489519
300.0737740.57150.284915
31-0.052261-0.40480.656471
32-0.079258-0.61390.729208
33-0.142198-1.10150.862453
34-0.211002-1.63440.946296
350.0586550.45430.325611
360.2036771.57770.059949
370.0135230.10470.458462
38-0.115327-0.89330.812371
39-0.114542-0.88720.810753
40-0.11073-0.85770.802767
41-0.053172-0.41190.659048
42-0.00427-0.03310.513137
43-0.058569-0.45370.67415
44-0.102648-0.79510.785158
45-0.146969-1.13840.870265
46-0.13085-1.01360.842568
470.0072840.05640.477597
480.0351340.27210.393222
49-0.050784-0.39340.65228
50-0.085139-0.65950.743946
51-0.095596-0.74050.769054
52-0.103977-0.80540.788116
53-0.089064-0.68990.753537
54-0.081434-0.63080.734712
55-0.065307-0.50590.692597
56-0.074051-0.57360.715807
57-0.090512-0.70110.757026
58-0.038759-0.30020.617479
59-0.003445-0.02670.5106







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.2975832.30510.012319
1-0.215584-1.66990.949926
20.2254611.74640.042928
3-0.214-1.65760.948695
40.3984943.08670.001531
50.1306111.01170.15787
6-0.00978-0.07580.530068
7-0.044444-0.34430.634073
8-0.048438-0.37520.645584
9-0.278669-2.15860.982553
100.4978523.85630.000142
110.235711.82580.036429
12-0.112942-0.87480.807426
13-0.103245-0.79970.786489
14-0.046886-0.36320.641126
15-0.056667-0.43890.668858
16-0.180721-1.39990.916648
170.0089320.06920.472534
180.0936170.72520.235587
19-0.013032-0.10090.540036
200.0887760.68770.247159
21-0.077568-0.60080.724894
220.0235920.18270.427809
23-0.054407-0.42140.662528
240.0214580.16620.434274
25-0.017911-0.13870.554939
26-0.122989-0.95270.827711
270.113960.88270.190453
28-0.094-0.72810.765314
29-0.105643-0.81830.79179
30-0.001913-0.01480.505888
31-0.006667-0.05160.520506
32-0.030634-0.23730.593379
330.0615660.47690.317587
34-0.065337-0.50610.692678
350.1328891.02940.153722
36-0.059269-0.45910.676087
37-0.040032-0.31010.621214
380.0287760.22290.412186
39-0.120857-0.93620.823527
400.0040610.03150.487506
41-0.066706-0.51670.696369
42-0.0233-0.18050.571307
43-0.02829-0.21910.586356
440.0198460.15370.439171
450.1199090.92880.178354
46-0.12615-0.97720.833792
47-0.173995-1.34780.908599
480.0182150.14110.444135
490.0501070.38810.349647
50-0.049011-0.37960.647223
51-0.05746-0.44510.671069
520.0481130.37270.355349
53-0.041156-0.31880.624505
54-0.04651-0.36030.640044
550.0316380.24510.403619
560.0149320.11570.454153
57-0.032384-0.25080.598604
580.0901610.69840.243818
59NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.297583 & 2.3051 & 0.012319 \tabularnewline
1 & -0.215584 & -1.6699 & 0.949926 \tabularnewline
2 & 0.225461 & 1.7464 & 0.042928 \tabularnewline
3 & -0.214 & -1.6576 & 0.948695 \tabularnewline
4 & 0.398494 & 3.0867 & 0.001531 \tabularnewline
5 & 0.130611 & 1.0117 & 0.15787 \tabularnewline
6 & -0.00978 & -0.0758 & 0.530068 \tabularnewline
7 & -0.044444 & -0.3443 & 0.634073 \tabularnewline
8 & -0.048438 & -0.3752 & 0.645584 \tabularnewline
9 & -0.278669 & -2.1586 & 0.982553 \tabularnewline
10 & 0.497852 & 3.8563 & 0.000142 \tabularnewline
11 & 0.23571 & 1.8258 & 0.036429 \tabularnewline
12 & -0.112942 & -0.8748 & 0.807426 \tabularnewline
13 & -0.103245 & -0.7997 & 0.786489 \tabularnewline
14 & -0.046886 & -0.3632 & 0.641126 \tabularnewline
15 & -0.056667 & -0.4389 & 0.668858 \tabularnewline
16 & -0.180721 & -1.3999 & 0.916648 \tabularnewline
17 & 0.008932 & 0.0692 & 0.472534 \tabularnewline
18 & 0.093617 & 0.7252 & 0.235587 \tabularnewline
19 & -0.013032 & -0.1009 & 0.540036 \tabularnewline
20 & 0.088776 & 0.6877 & 0.247159 \tabularnewline
21 & -0.077568 & -0.6008 & 0.724894 \tabularnewline
22 & 0.023592 & 0.1827 & 0.427809 \tabularnewline
23 & -0.054407 & -0.4214 & 0.662528 \tabularnewline
24 & 0.021458 & 0.1662 & 0.434274 \tabularnewline
25 & -0.017911 & -0.1387 & 0.554939 \tabularnewline
26 & -0.122989 & -0.9527 & 0.827711 \tabularnewline
27 & 0.11396 & 0.8827 & 0.190453 \tabularnewline
28 & -0.094 & -0.7281 & 0.765314 \tabularnewline
29 & -0.105643 & -0.8183 & 0.79179 \tabularnewline
30 & -0.001913 & -0.0148 & 0.505888 \tabularnewline
31 & -0.006667 & -0.0516 & 0.520506 \tabularnewline
32 & -0.030634 & -0.2373 & 0.593379 \tabularnewline
33 & 0.061566 & 0.4769 & 0.317587 \tabularnewline
34 & -0.065337 & -0.5061 & 0.692678 \tabularnewline
35 & 0.132889 & 1.0294 & 0.153722 \tabularnewline
36 & -0.059269 & -0.4591 & 0.676087 \tabularnewline
37 & -0.040032 & -0.3101 & 0.621214 \tabularnewline
38 & 0.028776 & 0.2229 & 0.412186 \tabularnewline
39 & -0.120857 & -0.9362 & 0.823527 \tabularnewline
40 & 0.004061 & 0.0315 & 0.487506 \tabularnewline
41 & -0.066706 & -0.5167 & 0.696369 \tabularnewline
42 & -0.0233 & -0.1805 & 0.571307 \tabularnewline
43 & -0.02829 & -0.2191 & 0.586356 \tabularnewline
44 & 0.019846 & 0.1537 & 0.439171 \tabularnewline
45 & 0.119909 & 0.9288 & 0.178354 \tabularnewline
46 & -0.12615 & -0.9772 & 0.833792 \tabularnewline
47 & -0.173995 & -1.3478 & 0.908599 \tabularnewline
48 & 0.018215 & 0.1411 & 0.444135 \tabularnewline
49 & 0.050107 & 0.3881 & 0.349647 \tabularnewline
50 & -0.049011 & -0.3796 & 0.647223 \tabularnewline
51 & -0.05746 & -0.4451 & 0.671069 \tabularnewline
52 & 0.048113 & 0.3727 & 0.355349 \tabularnewline
53 & -0.041156 & -0.3188 & 0.624505 \tabularnewline
54 & -0.04651 & -0.3603 & 0.640044 \tabularnewline
55 & 0.031638 & 0.2451 & 0.403619 \tabularnewline
56 & 0.014932 & 0.1157 & 0.454153 \tabularnewline
57 & -0.032384 & -0.2508 & 0.598604 \tabularnewline
58 & 0.090161 & 0.6984 & 0.243818 \tabularnewline
59 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7368&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]0[/C][C]0.297583[/C][C]2.3051[/C][C]0.012319[/C][/ROW]
[ROW][C]1[/C][C]-0.215584[/C][C]-1.6699[/C][C]0.949926[/C][/ROW]
[ROW][C]2[/C][C]0.225461[/C][C]1.7464[/C][C]0.042928[/C][/ROW]
[ROW][C]3[/C][C]-0.214[/C][C]-1.6576[/C][C]0.948695[/C][/ROW]
[ROW][C]4[/C][C]0.398494[/C][C]3.0867[/C][C]0.001531[/C][/ROW]
[ROW][C]5[/C][C]0.130611[/C][C]1.0117[/C][C]0.15787[/C][/ROW]
[ROW][C]6[/C][C]-0.00978[/C][C]-0.0758[/C][C]0.530068[/C][/ROW]
[ROW][C]7[/C][C]-0.044444[/C][C]-0.3443[/C][C]0.634073[/C][/ROW]
[ROW][C]8[/C][C]-0.048438[/C][C]-0.3752[/C][C]0.645584[/C][/ROW]
[ROW][C]9[/C][C]-0.278669[/C][C]-2.1586[/C][C]0.982553[/C][/ROW]
[ROW][C]10[/C][C]0.497852[/C][C]3.8563[/C][C]0.000142[/C][/ROW]
[ROW][C]11[/C][C]0.23571[/C][C]1.8258[/C][C]0.036429[/C][/ROW]
[ROW][C]12[/C][C]-0.112942[/C][C]-0.8748[/C][C]0.807426[/C][/ROW]
[ROW][C]13[/C][C]-0.103245[/C][C]-0.7997[/C][C]0.786489[/C][/ROW]
[ROW][C]14[/C][C]-0.046886[/C][C]-0.3632[/C][C]0.641126[/C][/ROW]
[ROW][C]15[/C][C]-0.056667[/C][C]-0.4389[/C][C]0.668858[/C][/ROW]
[ROW][C]16[/C][C]-0.180721[/C][C]-1.3999[/C][C]0.916648[/C][/ROW]
[ROW][C]17[/C][C]0.008932[/C][C]0.0692[/C][C]0.472534[/C][/ROW]
[ROW][C]18[/C][C]0.093617[/C][C]0.7252[/C][C]0.235587[/C][/ROW]
[ROW][C]19[/C][C]-0.013032[/C][C]-0.1009[/C][C]0.540036[/C][/ROW]
[ROW][C]20[/C][C]0.088776[/C][C]0.6877[/C][C]0.247159[/C][/ROW]
[ROW][C]21[/C][C]-0.077568[/C][C]-0.6008[/C][C]0.724894[/C][/ROW]
[ROW][C]22[/C][C]0.023592[/C][C]0.1827[/C][C]0.427809[/C][/ROW]
[ROW][C]23[/C][C]-0.054407[/C][C]-0.4214[/C][C]0.662528[/C][/ROW]
[ROW][C]24[/C][C]0.021458[/C][C]0.1662[/C][C]0.434274[/C][/ROW]
[ROW][C]25[/C][C]-0.017911[/C][C]-0.1387[/C][C]0.554939[/C][/ROW]
[ROW][C]26[/C][C]-0.122989[/C][C]-0.9527[/C][C]0.827711[/C][/ROW]
[ROW][C]27[/C][C]0.11396[/C][C]0.8827[/C][C]0.190453[/C][/ROW]
[ROW][C]28[/C][C]-0.094[/C][C]-0.7281[/C][C]0.765314[/C][/ROW]
[ROW][C]29[/C][C]-0.105643[/C][C]-0.8183[/C][C]0.79179[/C][/ROW]
[ROW][C]30[/C][C]-0.001913[/C][C]-0.0148[/C][C]0.505888[/C][/ROW]
[ROW][C]31[/C][C]-0.006667[/C][C]-0.0516[/C][C]0.520506[/C][/ROW]
[ROW][C]32[/C][C]-0.030634[/C][C]-0.2373[/C][C]0.593379[/C][/ROW]
[ROW][C]33[/C][C]0.061566[/C][C]0.4769[/C][C]0.317587[/C][/ROW]
[ROW][C]34[/C][C]-0.065337[/C][C]-0.5061[/C][C]0.692678[/C][/ROW]
[ROW][C]35[/C][C]0.132889[/C][C]1.0294[/C][C]0.153722[/C][/ROW]
[ROW][C]36[/C][C]-0.059269[/C][C]-0.4591[/C][C]0.676087[/C][/ROW]
[ROW][C]37[/C][C]-0.040032[/C][C]-0.3101[/C][C]0.621214[/C][/ROW]
[ROW][C]38[/C][C]0.028776[/C][C]0.2229[/C][C]0.412186[/C][/ROW]
[ROW][C]39[/C][C]-0.120857[/C][C]-0.9362[/C][C]0.823527[/C][/ROW]
[ROW][C]40[/C][C]0.004061[/C][C]0.0315[/C][C]0.487506[/C][/ROW]
[ROW][C]41[/C][C]-0.066706[/C][C]-0.5167[/C][C]0.696369[/C][/ROW]
[ROW][C]42[/C][C]-0.0233[/C][C]-0.1805[/C][C]0.571307[/C][/ROW]
[ROW][C]43[/C][C]-0.02829[/C][C]-0.2191[/C][C]0.586356[/C][/ROW]
[ROW][C]44[/C][C]0.019846[/C][C]0.1537[/C][C]0.439171[/C][/ROW]
[ROW][C]45[/C][C]0.119909[/C][C]0.9288[/C][C]0.178354[/C][/ROW]
[ROW][C]46[/C][C]-0.12615[/C][C]-0.9772[/C][C]0.833792[/C][/ROW]
[ROW][C]47[/C][C]-0.173995[/C][C]-1.3478[/C][C]0.908599[/C][/ROW]
[ROW][C]48[/C][C]0.018215[/C][C]0.1411[/C][C]0.444135[/C][/ROW]
[ROW][C]49[/C][C]0.050107[/C][C]0.3881[/C][C]0.349647[/C][/ROW]
[ROW][C]50[/C][C]-0.049011[/C][C]-0.3796[/C][C]0.647223[/C][/ROW]
[ROW][C]51[/C][C]-0.05746[/C][C]-0.4451[/C][C]0.671069[/C][/ROW]
[ROW][C]52[/C][C]0.048113[/C][C]0.3727[/C][C]0.355349[/C][/ROW]
[ROW][C]53[/C][C]-0.041156[/C][C]-0.3188[/C][C]0.624505[/C][/ROW]
[ROW][C]54[/C][C]-0.04651[/C][C]-0.3603[/C][C]0.640044[/C][/ROW]
[ROW][C]55[/C][C]0.031638[/C][C]0.2451[/C][C]0.403619[/C][/ROW]
[ROW][C]56[/C][C]0.014932[/C][C]0.1157[/C][C]0.454153[/C][/ROW]
[ROW][C]57[/C][C]-0.032384[/C][C]-0.2508[/C][C]0.598604[/C][/ROW]
[ROW][C]58[/C][C]0.090161[/C][C]0.6984[/C][C]0.243818[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7368&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7368&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
00.2975832.30510.012319
1-0.215584-1.66990.949926
20.2254611.74640.042928
3-0.214-1.65760.948695
40.3984943.08670.001531
50.1306111.01170.15787
6-0.00978-0.07580.530068
7-0.044444-0.34430.634073
8-0.048438-0.37520.645584
9-0.278669-2.15860.982553
100.4978523.85630.000142
110.235711.82580.036429
12-0.112942-0.87480.807426
13-0.103245-0.79970.786489
14-0.046886-0.36320.641126
15-0.056667-0.43890.668858
16-0.180721-1.39990.916648
170.0089320.06920.472534
180.0936170.72520.235587
19-0.013032-0.10090.540036
200.0887760.68770.247159
21-0.077568-0.60080.724894
220.0235920.18270.427809
23-0.054407-0.42140.662528
240.0214580.16620.434274
25-0.017911-0.13870.554939
26-0.122989-0.95270.827711
270.113960.88270.190453
28-0.094-0.72810.765314
29-0.105643-0.81830.79179
30-0.001913-0.01480.505888
31-0.006667-0.05160.520506
32-0.030634-0.23730.593379
330.0615660.47690.317587
34-0.065337-0.50610.692678
350.1328891.02940.153722
36-0.059269-0.45910.676087
37-0.040032-0.31010.621214
380.0287760.22290.412186
39-0.120857-0.93620.823527
400.0040610.03150.487506
41-0.066706-0.51670.696369
42-0.0233-0.18050.571307
43-0.02829-0.21910.586356
440.0198460.15370.439171
450.1199090.92880.178354
46-0.12615-0.97720.833792
47-0.173995-1.34780.908599
480.0182150.14110.444135
490.0501070.38810.349647
50-0.049011-0.37960.647223
51-0.05746-0.44510.671069
520.0481130.37270.355349
53-0.041156-0.31880.624505
54-0.04651-0.36030.640044
550.0316380.24510.403619
560.0149320.11570.454153
57-0.032384-0.25080.598604
580.0901610.69840.243818
59NANANA



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 1:par1) {
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(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-1,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(mytstat,lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')