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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, 18 Dec 2008 12:00:06 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Dec/18/t1229627131fd4ya3noug5auvx.htm/, Retrieved Sun, 12 May 2024 10:11:35 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=34939, Retrieved Sun, 12 May 2024 10:11:35 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact171
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Standard Deviation-Mean Plot] [tinneke_debock.pa...] [2008-12-18 18:24:23] [f9c5a49917ff87aeb076072f2749ef70]
- RMPD    [(Partial) Autocorrelation Function] [tinneke_debock.pa...] [2008-12-18 19:00:06] [20137734a2343a7bbbd59daaec7ad301] [Current]
-   PD      [(Partial) Autocorrelation Function] [Paper statistiek_...] [2008-12-19 09:30:17] [fdc296cbeb5d8064cb0dbd634c3fdc55]
-    D        [(Partial) Autocorrelation Function] [Paper statistiek_...] [2008-12-19 09:33:45] [fdc296cbeb5d8064cb0dbd634c3fdc55]
-   PD          [(Partial) Autocorrelation Function] [Paper statistiek_...] [2008-12-19 09:44:19] [fdc296cbeb5d8064cb0dbd634c3fdc55]
-   P             [(Partial) Autocorrelation Function] [Paper statistiek_...] [2008-12-19 09:47:25] [fdc296cbeb5d8064cb0dbd634c3fdc55]
-   P               [(Partial) Autocorrelation Function] [Paper statistiek_...] [2008-12-20 14:10:57] [fdc296cbeb5d8064cb0dbd634c3fdc55]
-   P             [(Partial) Autocorrelation Function] [Paper statistiek_...] [2008-12-20 14:08:10] [fdc296cbeb5d8064cb0dbd634c3fdc55]
-   PD          [(Partial) Autocorrelation Function] [Paper statistiek_...] [2008-12-20 14:04:23] [fdc296cbeb5d8064cb0dbd634c3fdc55]
-   PD        [(Partial) Autocorrelation Function] [Paper statistiek_...] [2008-12-19 09:40:12] [fdc296cbeb5d8064cb0dbd634c3fdc55]
-   P           [(Partial) Autocorrelation Function] [Paper statistiek_...] [2008-12-19 10:12:55] [fdc296cbeb5d8064cb0dbd634c3fdc55]
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Dataseries X:
80
54,9
65,1
72,5
70,6
81,9
72
70,9
71,1
65,1
78,1
92
77,8
63,3
56,2
79,2
69
66,1
77,5
69,3
70,2
70,2
78,2
85,4
82,4
61,2
52,2
85,3
79,9
72,2
85,7
75,5
69,2
77,6
85,3
77
89,9
60
54,3
84
69,9
75,1
81,7
69,9
68,3
77,3
77,4
85,3
91
60,6
57,6
93,8
78,7
80,3
89,8
77,5
71,7
83,2
86,2
100,7
100,8
57,1
62,5
79,7
80,3
92,4
91,8
85,8
84,2
93,1
101,2
100,6
106,7
64
67,5
101
95,5
97
103,8
95,2
86,7
93,5
102,5
112,3
105,5
75,4
70,4
108
100
93,3
111,1
101,1
98,1




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34939&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34939&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34939&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'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.4039043.89519.2e-05
20.0401350.3870.349803
30.1576751.52060.065882
40.0934880.90160.184809
50.2695272.59920.005433
60.4125033.9786.9e-05
70.2541292.45070.008063
80.1284471.23870.109287
90.1137261.09670.137794
10-0.024415-0.23550.407188
110.304712.93850.002079
120.7405037.14120
130.2936482.83180.002837
14-0.063337-0.61080.271411
150.0363530.35060.363349
160.0165070.15920.436934
170.1407411.35730.088992
180.2786312.6870.00427
190.1242551.19830.116929
200.024780.2390.405827
210.0132930.12820.449136
22-0.109257-1.05360.147389
230.2008141.93660.027916
240.5189255.00431e-06
250.1505471.45180.074958
26-0.149816-1.44480.075941
27-0.10847-1.0460.149126
28-0.084147-0.81150.209581
290.0061930.05970.476252
300.1139291.09870.13737
310.02630.25360.400171
32-0.060471-0.58320.280598
33-0.084143-0.81140.209591
34-0.16785-1.61870.054451
350.0637060.61440.270239
360.3379523.25910.000781
370.0527290.50850.306152
38-0.187982-1.81280.036542
39-0.141316-1.36280.088117
40-0.128866-1.24270.108544
41-0.06394-0.61660.269498
420.0122230.11790.453209
43-0.055908-0.53920.295532
44-0.116081-1.11940.132916
45-0.136556-1.31690.095555
46-0.198966-1.91880.029041
47-0.005731-0.05530.478021
480.1796851.73280.043221
49-0.025885-0.24960.401712
50-0.231194-2.22960.014092
51-0.191191-1.84380.0342
52-0.161875-1.56110.060952
53-0.119776-1.15510.125509
54-0.051469-0.49640.310409
55-0.075204-0.72520.235063
56-0.129633-1.25010.107193
57-0.136033-1.31190.096399
58-0.187283-1.80610.037069
59-0.058611-0.56520.286641
600.0975850.94110.174553

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.403904 & 3.8951 & 9.2e-05 \tabularnewline
2 & 0.040135 & 0.387 & 0.349803 \tabularnewline
3 & 0.157675 & 1.5206 & 0.065882 \tabularnewline
4 & 0.093488 & 0.9016 & 0.184809 \tabularnewline
5 & 0.269527 & 2.5992 & 0.005433 \tabularnewline
6 & 0.412503 & 3.978 & 6.9e-05 \tabularnewline
7 & 0.254129 & 2.4507 & 0.008063 \tabularnewline
8 & 0.128447 & 1.2387 & 0.109287 \tabularnewline
9 & 0.113726 & 1.0967 & 0.137794 \tabularnewline
10 & -0.024415 & -0.2355 & 0.407188 \tabularnewline
11 & 0.30471 & 2.9385 & 0.002079 \tabularnewline
12 & 0.740503 & 7.1412 & 0 \tabularnewline
13 & 0.293648 & 2.8318 & 0.002837 \tabularnewline
14 & -0.063337 & -0.6108 & 0.271411 \tabularnewline
15 & 0.036353 & 0.3506 & 0.363349 \tabularnewline
16 & 0.016507 & 0.1592 & 0.436934 \tabularnewline
17 & 0.140741 & 1.3573 & 0.088992 \tabularnewline
18 & 0.278631 & 2.687 & 0.00427 \tabularnewline
19 & 0.124255 & 1.1983 & 0.116929 \tabularnewline
20 & 0.02478 & 0.239 & 0.405827 \tabularnewline
21 & 0.013293 & 0.1282 & 0.449136 \tabularnewline
22 & -0.109257 & -1.0536 & 0.147389 \tabularnewline
23 & 0.200814 & 1.9366 & 0.027916 \tabularnewline
24 & 0.518925 & 5.0043 & 1e-06 \tabularnewline
25 & 0.150547 & 1.4518 & 0.074958 \tabularnewline
26 & -0.149816 & -1.4448 & 0.075941 \tabularnewline
27 & -0.10847 & -1.046 & 0.149126 \tabularnewline
28 & -0.084147 & -0.8115 & 0.209581 \tabularnewline
29 & 0.006193 & 0.0597 & 0.476252 \tabularnewline
30 & 0.113929 & 1.0987 & 0.13737 \tabularnewline
31 & 0.0263 & 0.2536 & 0.400171 \tabularnewline
32 & -0.060471 & -0.5832 & 0.280598 \tabularnewline
33 & -0.084143 & -0.8114 & 0.209591 \tabularnewline
34 & -0.16785 & -1.6187 & 0.054451 \tabularnewline
35 & 0.063706 & 0.6144 & 0.270239 \tabularnewline
36 & 0.337952 & 3.2591 & 0.000781 \tabularnewline
37 & 0.052729 & 0.5085 & 0.306152 \tabularnewline
38 & -0.187982 & -1.8128 & 0.036542 \tabularnewline
39 & -0.141316 & -1.3628 & 0.088117 \tabularnewline
40 & -0.128866 & -1.2427 & 0.108544 \tabularnewline
41 & -0.06394 & -0.6166 & 0.269498 \tabularnewline
42 & 0.012223 & 0.1179 & 0.453209 \tabularnewline
43 & -0.055908 & -0.5392 & 0.295532 \tabularnewline
44 & -0.116081 & -1.1194 & 0.132916 \tabularnewline
45 & -0.136556 & -1.3169 & 0.095555 \tabularnewline
46 & -0.198966 & -1.9188 & 0.029041 \tabularnewline
47 & -0.005731 & -0.0553 & 0.478021 \tabularnewline
48 & 0.179685 & 1.7328 & 0.043221 \tabularnewline
49 & -0.025885 & -0.2496 & 0.401712 \tabularnewline
50 & -0.231194 & -2.2296 & 0.014092 \tabularnewline
51 & -0.191191 & -1.8438 & 0.0342 \tabularnewline
52 & -0.161875 & -1.5611 & 0.060952 \tabularnewline
53 & -0.119776 & -1.1551 & 0.125509 \tabularnewline
54 & -0.051469 & -0.4964 & 0.310409 \tabularnewline
55 & -0.075204 & -0.7252 & 0.235063 \tabularnewline
56 & -0.129633 & -1.2501 & 0.107193 \tabularnewline
57 & -0.136033 & -1.3119 & 0.096399 \tabularnewline
58 & -0.187283 & -1.8061 & 0.037069 \tabularnewline
59 & -0.058611 & -0.5652 & 0.286641 \tabularnewline
60 & 0.097585 & 0.9411 & 0.174553 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34939&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]0.403904[/C][C]3.8951[/C][C]9.2e-05[/C][/ROW]
[ROW][C]2[/C][C]0.040135[/C][C]0.387[/C][C]0.349803[/C][/ROW]
[ROW][C]3[/C][C]0.157675[/C][C]1.5206[/C][C]0.065882[/C][/ROW]
[ROW][C]4[/C][C]0.093488[/C][C]0.9016[/C][C]0.184809[/C][/ROW]
[ROW][C]5[/C][C]0.269527[/C][C]2.5992[/C][C]0.005433[/C][/ROW]
[ROW][C]6[/C][C]0.412503[/C][C]3.978[/C][C]6.9e-05[/C][/ROW]
[ROW][C]7[/C][C]0.254129[/C][C]2.4507[/C][C]0.008063[/C][/ROW]
[ROW][C]8[/C][C]0.128447[/C][C]1.2387[/C][C]0.109287[/C][/ROW]
[ROW][C]9[/C][C]0.113726[/C][C]1.0967[/C][C]0.137794[/C][/ROW]
[ROW][C]10[/C][C]-0.024415[/C][C]-0.2355[/C][C]0.407188[/C][/ROW]
[ROW][C]11[/C][C]0.30471[/C][C]2.9385[/C][C]0.002079[/C][/ROW]
[ROW][C]12[/C][C]0.740503[/C][C]7.1412[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.293648[/C][C]2.8318[/C][C]0.002837[/C][/ROW]
[ROW][C]14[/C][C]-0.063337[/C][C]-0.6108[/C][C]0.271411[/C][/ROW]
[ROW][C]15[/C][C]0.036353[/C][C]0.3506[/C][C]0.363349[/C][/ROW]
[ROW][C]16[/C][C]0.016507[/C][C]0.1592[/C][C]0.436934[/C][/ROW]
[ROW][C]17[/C][C]0.140741[/C][C]1.3573[/C][C]0.088992[/C][/ROW]
[ROW][C]18[/C][C]0.278631[/C][C]2.687[/C][C]0.00427[/C][/ROW]
[ROW][C]19[/C][C]0.124255[/C][C]1.1983[/C][C]0.116929[/C][/ROW]
[ROW][C]20[/C][C]0.02478[/C][C]0.239[/C][C]0.405827[/C][/ROW]
[ROW][C]21[/C][C]0.013293[/C][C]0.1282[/C][C]0.449136[/C][/ROW]
[ROW][C]22[/C][C]-0.109257[/C][C]-1.0536[/C][C]0.147389[/C][/ROW]
[ROW][C]23[/C][C]0.200814[/C][C]1.9366[/C][C]0.027916[/C][/ROW]
[ROW][C]24[/C][C]0.518925[/C][C]5.0043[/C][C]1e-06[/C][/ROW]
[ROW][C]25[/C][C]0.150547[/C][C]1.4518[/C][C]0.074958[/C][/ROW]
[ROW][C]26[/C][C]-0.149816[/C][C]-1.4448[/C][C]0.075941[/C][/ROW]
[ROW][C]27[/C][C]-0.10847[/C][C]-1.046[/C][C]0.149126[/C][/ROW]
[ROW][C]28[/C][C]-0.084147[/C][C]-0.8115[/C][C]0.209581[/C][/ROW]
[ROW][C]29[/C][C]0.006193[/C][C]0.0597[/C][C]0.476252[/C][/ROW]
[ROW][C]30[/C][C]0.113929[/C][C]1.0987[/C][C]0.13737[/C][/ROW]
[ROW][C]31[/C][C]0.0263[/C][C]0.2536[/C][C]0.400171[/C][/ROW]
[ROW][C]32[/C][C]-0.060471[/C][C]-0.5832[/C][C]0.280598[/C][/ROW]
[ROW][C]33[/C][C]-0.084143[/C][C]-0.8114[/C][C]0.209591[/C][/ROW]
[ROW][C]34[/C][C]-0.16785[/C][C]-1.6187[/C][C]0.054451[/C][/ROW]
[ROW][C]35[/C][C]0.063706[/C][C]0.6144[/C][C]0.270239[/C][/ROW]
[ROW][C]36[/C][C]0.337952[/C][C]3.2591[/C][C]0.000781[/C][/ROW]
[ROW][C]37[/C][C]0.052729[/C][C]0.5085[/C][C]0.306152[/C][/ROW]
[ROW][C]38[/C][C]-0.187982[/C][C]-1.8128[/C][C]0.036542[/C][/ROW]
[ROW][C]39[/C][C]-0.141316[/C][C]-1.3628[/C][C]0.088117[/C][/ROW]
[ROW][C]40[/C][C]-0.128866[/C][C]-1.2427[/C][C]0.108544[/C][/ROW]
[ROW][C]41[/C][C]-0.06394[/C][C]-0.6166[/C][C]0.269498[/C][/ROW]
[ROW][C]42[/C][C]0.012223[/C][C]0.1179[/C][C]0.453209[/C][/ROW]
[ROW][C]43[/C][C]-0.055908[/C][C]-0.5392[/C][C]0.295532[/C][/ROW]
[ROW][C]44[/C][C]-0.116081[/C][C]-1.1194[/C][C]0.132916[/C][/ROW]
[ROW][C]45[/C][C]-0.136556[/C][C]-1.3169[/C][C]0.095555[/C][/ROW]
[ROW][C]46[/C][C]-0.198966[/C][C]-1.9188[/C][C]0.029041[/C][/ROW]
[ROW][C]47[/C][C]-0.005731[/C][C]-0.0553[/C][C]0.478021[/C][/ROW]
[ROW][C]48[/C][C]0.179685[/C][C]1.7328[/C][C]0.043221[/C][/ROW]
[ROW][C]49[/C][C]-0.025885[/C][C]-0.2496[/C][C]0.401712[/C][/ROW]
[ROW][C]50[/C][C]-0.231194[/C][C]-2.2296[/C][C]0.014092[/C][/ROW]
[ROW][C]51[/C][C]-0.191191[/C][C]-1.8438[/C][C]0.0342[/C][/ROW]
[ROW][C]52[/C][C]-0.161875[/C][C]-1.5611[/C][C]0.060952[/C][/ROW]
[ROW][C]53[/C][C]-0.119776[/C][C]-1.1551[/C][C]0.125509[/C][/ROW]
[ROW][C]54[/C][C]-0.051469[/C][C]-0.4964[/C][C]0.310409[/C][/ROW]
[ROW][C]55[/C][C]-0.075204[/C][C]-0.7252[/C][C]0.235063[/C][/ROW]
[ROW][C]56[/C][C]-0.129633[/C][C]-1.2501[/C][C]0.107193[/C][/ROW]
[ROW][C]57[/C][C]-0.136033[/C][C]-1.3119[/C][C]0.096399[/C][/ROW]
[ROW][C]58[/C][C]-0.187283[/C][C]-1.8061[/C][C]0.037069[/C][/ROW]
[ROW][C]59[/C][C]-0.058611[/C][C]-0.5652[/C][C]0.286641[/C][/ROW]
[ROW][C]60[/C][C]0.097585[/C][C]0.9411[/C][C]0.174553[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34939&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34939&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
10.4039043.89519.2e-05
20.0401350.3870.349803
30.1576751.52060.065882
40.0934880.90160.184809
50.2695272.59920.005433
60.4125033.9786.9e-05
70.2541292.45070.008063
80.1284471.23870.109287
90.1137261.09670.137794
10-0.024415-0.23550.407188
110.304712.93850.002079
120.7405037.14120
130.2936482.83180.002837
14-0.063337-0.61080.271411
150.0363530.35060.363349
160.0165070.15920.436934
170.1407411.35730.088992
180.2786312.6870.00427
190.1242551.19830.116929
200.024780.2390.405827
210.0132930.12820.449136
22-0.109257-1.05360.147389
230.2008141.93660.027916
240.5189255.00431e-06
250.1505471.45180.074958
26-0.149816-1.44480.075941
27-0.10847-1.0460.149126
28-0.084147-0.81150.209581
290.0061930.05970.476252
300.1139291.09870.13737
310.02630.25360.400171
32-0.060471-0.58320.280598
33-0.084143-0.81140.209591
34-0.16785-1.61870.054451
350.0637060.61440.270239
360.3379523.25910.000781
370.0527290.50850.306152
38-0.187982-1.81280.036542
39-0.141316-1.36280.088117
40-0.128866-1.24270.108544
41-0.06394-0.61660.269498
420.0122230.11790.453209
43-0.055908-0.53920.295532
44-0.116081-1.11940.132916
45-0.136556-1.31690.095555
46-0.198966-1.91880.029041
47-0.005731-0.05530.478021
480.1796851.73280.043221
49-0.025885-0.24960.401712
50-0.231194-2.22960.014092
51-0.191191-1.84380.0342
52-0.161875-1.56110.060952
53-0.119776-1.15510.125509
54-0.051469-0.49640.310409
55-0.075204-0.72520.235063
56-0.129633-1.25010.107193
57-0.136033-1.31190.096399
58-0.187283-1.80610.037069
59-0.058611-0.56520.286641
600.0975850.94110.174553







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.4039043.89519.2e-05
2-0.146982-1.41740.079848
30.2423692.33730.010784
4-0.094284-0.90920.182786
50.3822163.6860.000191
60.1436721.38550.084603
70.1205031.16210.124087
8-0.023077-0.22260.412187
90.0471820.4550.325083
10-0.231349-2.2310.014041
110.4839614.66725e-06
120.4760644.5917e-06
13-0.230978-2.22750.014164
14-0.312081-3.00960.001683
15-0.009367-0.09030.464107
160.0162010.15620.438092
17-0.140319-1.35320.089638
18-0.126372-1.21870.113022
19-0.052448-0.50580.3071
20-0.033836-0.32630.372464
210.0595090.57390.283717
220.0274280.26450.395988
230.1073721.03550.15157
24-0.099302-0.95760.170365
250.0093290.090.464256
26-0.004088-0.03940.484318
27-0.076176-0.73460.232211
28-0.08009-0.77240.220931
29-0.10562-1.01860.155526
30-0.053178-0.51280.304644
310.0694830.67010.252236
320.0142450.13740.445515
330.0085010.0820.467419
34-0.007307-0.07050.471987
35-0.054079-0.52150.301623
360.0747070.72040.236528
370.0335010.32310.373684
380.0871940.84090.20129
390.0024890.0240.490452
40-0.025211-0.24310.404222
41-0.042503-0.40990.341418
42-0.01557-0.15020.440485
43-0.099086-0.95550.170889
44-0.082169-0.79240.215068
45-0.042158-0.40660.342634
46-0.025413-0.24510.403468
470.0178440.17210.431874
48-0.088948-0.85780.196608
490.0307980.2970.383561
50-0.041765-0.40280.344024
510.0322010.31050.378426
52-0.014944-0.14410.442861
530.0559230.53930.295483
54-0.046952-0.45280.325877
550.107271.03450.1518
56-0.047914-0.46210.322557
570.08690.8380.20208
58-0.091013-0.87770.191185
59-0.026255-0.25320.40034
60-0.068392-0.65950.255587

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.403904 & 3.8951 & 9.2e-05 \tabularnewline
2 & -0.146982 & -1.4174 & 0.079848 \tabularnewline
3 & 0.242369 & 2.3373 & 0.010784 \tabularnewline
4 & -0.094284 & -0.9092 & 0.182786 \tabularnewline
5 & 0.382216 & 3.686 & 0.000191 \tabularnewline
6 & 0.143672 & 1.3855 & 0.084603 \tabularnewline
7 & 0.120503 & 1.1621 & 0.124087 \tabularnewline
8 & -0.023077 & -0.2226 & 0.412187 \tabularnewline
9 & 0.047182 & 0.455 & 0.325083 \tabularnewline
10 & -0.231349 & -2.231 & 0.014041 \tabularnewline
11 & 0.483961 & 4.6672 & 5e-06 \tabularnewline
12 & 0.476064 & 4.591 & 7e-06 \tabularnewline
13 & -0.230978 & -2.2275 & 0.014164 \tabularnewline
14 & -0.312081 & -3.0096 & 0.001683 \tabularnewline
15 & -0.009367 & -0.0903 & 0.464107 \tabularnewline
16 & 0.016201 & 0.1562 & 0.438092 \tabularnewline
17 & -0.140319 & -1.3532 & 0.089638 \tabularnewline
18 & -0.126372 & -1.2187 & 0.113022 \tabularnewline
19 & -0.052448 & -0.5058 & 0.3071 \tabularnewline
20 & -0.033836 & -0.3263 & 0.372464 \tabularnewline
21 & 0.059509 & 0.5739 & 0.283717 \tabularnewline
22 & 0.027428 & 0.2645 & 0.395988 \tabularnewline
23 & 0.107372 & 1.0355 & 0.15157 \tabularnewline
24 & -0.099302 & -0.9576 & 0.170365 \tabularnewline
25 & 0.009329 & 0.09 & 0.464256 \tabularnewline
26 & -0.004088 & -0.0394 & 0.484318 \tabularnewline
27 & -0.076176 & -0.7346 & 0.232211 \tabularnewline
28 & -0.08009 & -0.7724 & 0.220931 \tabularnewline
29 & -0.10562 & -1.0186 & 0.155526 \tabularnewline
30 & -0.053178 & -0.5128 & 0.304644 \tabularnewline
31 & 0.069483 & 0.6701 & 0.252236 \tabularnewline
32 & 0.014245 & 0.1374 & 0.445515 \tabularnewline
33 & 0.008501 & 0.082 & 0.467419 \tabularnewline
34 & -0.007307 & -0.0705 & 0.471987 \tabularnewline
35 & -0.054079 & -0.5215 & 0.301623 \tabularnewline
36 & 0.074707 & 0.7204 & 0.236528 \tabularnewline
37 & 0.033501 & 0.3231 & 0.373684 \tabularnewline
38 & 0.087194 & 0.8409 & 0.20129 \tabularnewline
39 & 0.002489 & 0.024 & 0.490452 \tabularnewline
40 & -0.025211 & -0.2431 & 0.404222 \tabularnewline
41 & -0.042503 & -0.4099 & 0.341418 \tabularnewline
42 & -0.01557 & -0.1502 & 0.440485 \tabularnewline
43 & -0.099086 & -0.9555 & 0.170889 \tabularnewline
44 & -0.082169 & -0.7924 & 0.215068 \tabularnewline
45 & -0.042158 & -0.4066 & 0.342634 \tabularnewline
46 & -0.025413 & -0.2451 & 0.403468 \tabularnewline
47 & 0.017844 & 0.1721 & 0.431874 \tabularnewline
48 & -0.088948 & -0.8578 & 0.196608 \tabularnewline
49 & 0.030798 & 0.297 & 0.383561 \tabularnewline
50 & -0.041765 & -0.4028 & 0.344024 \tabularnewline
51 & 0.032201 & 0.3105 & 0.378426 \tabularnewline
52 & -0.014944 & -0.1441 & 0.442861 \tabularnewline
53 & 0.055923 & 0.5393 & 0.295483 \tabularnewline
54 & -0.046952 & -0.4528 & 0.325877 \tabularnewline
55 & 0.10727 & 1.0345 & 0.1518 \tabularnewline
56 & -0.047914 & -0.4621 & 0.322557 \tabularnewline
57 & 0.0869 & 0.838 & 0.20208 \tabularnewline
58 & -0.091013 & -0.8777 & 0.191185 \tabularnewline
59 & -0.026255 & -0.2532 & 0.40034 \tabularnewline
60 & -0.068392 & -0.6595 & 0.255587 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34939&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]0.403904[/C][C]3.8951[/C][C]9.2e-05[/C][/ROW]
[ROW][C]2[/C][C]-0.146982[/C][C]-1.4174[/C][C]0.079848[/C][/ROW]
[ROW][C]3[/C][C]0.242369[/C][C]2.3373[/C][C]0.010784[/C][/ROW]
[ROW][C]4[/C][C]-0.094284[/C][C]-0.9092[/C][C]0.182786[/C][/ROW]
[ROW][C]5[/C][C]0.382216[/C][C]3.686[/C][C]0.000191[/C][/ROW]
[ROW][C]6[/C][C]0.143672[/C][C]1.3855[/C][C]0.084603[/C][/ROW]
[ROW][C]7[/C][C]0.120503[/C][C]1.1621[/C][C]0.124087[/C][/ROW]
[ROW][C]8[/C][C]-0.023077[/C][C]-0.2226[/C][C]0.412187[/C][/ROW]
[ROW][C]9[/C][C]0.047182[/C][C]0.455[/C][C]0.325083[/C][/ROW]
[ROW][C]10[/C][C]-0.231349[/C][C]-2.231[/C][C]0.014041[/C][/ROW]
[ROW][C]11[/C][C]0.483961[/C][C]4.6672[/C][C]5e-06[/C][/ROW]
[ROW][C]12[/C][C]0.476064[/C][C]4.591[/C][C]7e-06[/C][/ROW]
[ROW][C]13[/C][C]-0.230978[/C][C]-2.2275[/C][C]0.014164[/C][/ROW]
[ROW][C]14[/C][C]-0.312081[/C][C]-3.0096[/C][C]0.001683[/C][/ROW]
[ROW][C]15[/C][C]-0.009367[/C][C]-0.0903[/C][C]0.464107[/C][/ROW]
[ROW][C]16[/C][C]0.016201[/C][C]0.1562[/C][C]0.438092[/C][/ROW]
[ROW][C]17[/C][C]-0.140319[/C][C]-1.3532[/C][C]0.089638[/C][/ROW]
[ROW][C]18[/C][C]-0.126372[/C][C]-1.2187[/C][C]0.113022[/C][/ROW]
[ROW][C]19[/C][C]-0.052448[/C][C]-0.5058[/C][C]0.3071[/C][/ROW]
[ROW][C]20[/C][C]-0.033836[/C][C]-0.3263[/C][C]0.372464[/C][/ROW]
[ROW][C]21[/C][C]0.059509[/C][C]0.5739[/C][C]0.283717[/C][/ROW]
[ROW][C]22[/C][C]0.027428[/C][C]0.2645[/C][C]0.395988[/C][/ROW]
[ROW][C]23[/C][C]0.107372[/C][C]1.0355[/C][C]0.15157[/C][/ROW]
[ROW][C]24[/C][C]-0.099302[/C][C]-0.9576[/C][C]0.170365[/C][/ROW]
[ROW][C]25[/C][C]0.009329[/C][C]0.09[/C][C]0.464256[/C][/ROW]
[ROW][C]26[/C][C]-0.004088[/C][C]-0.0394[/C][C]0.484318[/C][/ROW]
[ROW][C]27[/C][C]-0.076176[/C][C]-0.7346[/C][C]0.232211[/C][/ROW]
[ROW][C]28[/C][C]-0.08009[/C][C]-0.7724[/C][C]0.220931[/C][/ROW]
[ROW][C]29[/C][C]-0.10562[/C][C]-1.0186[/C][C]0.155526[/C][/ROW]
[ROW][C]30[/C][C]-0.053178[/C][C]-0.5128[/C][C]0.304644[/C][/ROW]
[ROW][C]31[/C][C]0.069483[/C][C]0.6701[/C][C]0.252236[/C][/ROW]
[ROW][C]32[/C][C]0.014245[/C][C]0.1374[/C][C]0.445515[/C][/ROW]
[ROW][C]33[/C][C]0.008501[/C][C]0.082[/C][C]0.467419[/C][/ROW]
[ROW][C]34[/C][C]-0.007307[/C][C]-0.0705[/C][C]0.471987[/C][/ROW]
[ROW][C]35[/C][C]-0.054079[/C][C]-0.5215[/C][C]0.301623[/C][/ROW]
[ROW][C]36[/C][C]0.074707[/C][C]0.7204[/C][C]0.236528[/C][/ROW]
[ROW][C]37[/C][C]0.033501[/C][C]0.3231[/C][C]0.373684[/C][/ROW]
[ROW][C]38[/C][C]0.087194[/C][C]0.8409[/C][C]0.20129[/C][/ROW]
[ROW][C]39[/C][C]0.002489[/C][C]0.024[/C][C]0.490452[/C][/ROW]
[ROW][C]40[/C][C]-0.025211[/C][C]-0.2431[/C][C]0.404222[/C][/ROW]
[ROW][C]41[/C][C]-0.042503[/C][C]-0.4099[/C][C]0.341418[/C][/ROW]
[ROW][C]42[/C][C]-0.01557[/C][C]-0.1502[/C][C]0.440485[/C][/ROW]
[ROW][C]43[/C][C]-0.099086[/C][C]-0.9555[/C][C]0.170889[/C][/ROW]
[ROW][C]44[/C][C]-0.082169[/C][C]-0.7924[/C][C]0.215068[/C][/ROW]
[ROW][C]45[/C][C]-0.042158[/C][C]-0.4066[/C][C]0.342634[/C][/ROW]
[ROW][C]46[/C][C]-0.025413[/C][C]-0.2451[/C][C]0.403468[/C][/ROW]
[ROW][C]47[/C][C]0.017844[/C][C]0.1721[/C][C]0.431874[/C][/ROW]
[ROW][C]48[/C][C]-0.088948[/C][C]-0.8578[/C][C]0.196608[/C][/ROW]
[ROW][C]49[/C][C]0.030798[/C][C]0.297[/C][C]0.383561[/C][/ROW]
[ROW][C]50[/C][C]-0.041765[/C][C]-0.4028[/C][C]0.344024[/C][/ROW]
[ROW][C]51[/C][C]0.032201[/C][C]0.3105[/C][C]0.378426[/C][/ROW]
[ROW][C]52[/C][C]-0.014944[/C][C]-0.1441[/C][C]0.442861[/C][/ROW]
[ROW][C]53[/C][C]0.055923[/C][C]0.5393[/C][C]0.295483[/C][/ROW]
[ROW][C]54[/C][C]-0.046952[/C][C]-0.4528[/C][C]0.325877[/C][/ROW]
[ROW][C]55[/C][C]0.10727[/C][C]1.0345[/C][C]0.1518[/C][/ROW]
[ROW][C]56[/C][C]-0.047914[/C][C]-0.4621[/C][C]0.322557[/C][/ROW]
[ROW][C]57[/C][C]0.0869[/C][C]0.838[/C][C]0.20208[/C][/ROW]
[ROW][C]58[/C][C]-0.091013[/C][C]-0.8777[/C][C]0.191185[/C][/ROW]
[ROW][C]59[/C][C]-0.026255[/C][C]-0.2532[/C][C]0.40034[/C][/ROW]
[ROW][C]60[/C][C]-0.068392[/C][C]-0.6595[/C][C]0.255587[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34939&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34939&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
10.4039043.89519.2e-05
2-0.146982-1.41740.079848
30.2423692.33730.010784
4-0.094284-0.90920.182786
50.3822163.6860.000191
60.1436721.38550.084603
70.1205031.16210.124087
8-0.023077-0.22260.412187
90.0471820.4550.325083
10-0.231349-2.2310.014041
110.4839614.66725e-06
120.4760644.5917e-06
13-0.230978-2.22750.014164
14-0.312081-3.00960.001683
15-0.009367-0.09030.464107
160.0162010.15620.438092
17-0.140319-1.35320.089638
18-0.126372-1.21870.113022
19-0.052448-0.50580.3071
20-0.033836-0.32630.372464
210.0595090.57390.283717
220.0274280.26450.395988
230.1073721.03550.15157
24-0.099302-0.95760.170365
250.0093290.090.464256
26-0.004088-0.03940.484318
27-0.076176-0.73460.232211
28-0.08009-0.77240.220931
29-0.10562-1.01860.155526
30-0.053178-0.51280.304644
310.0694830.67010.252236
320.0142450.13740.445515
330.0085010.0820.467419
34-0.007307-0.07050.471987
35-0.054079-0.52150.301623
360.0747070.72040.236528
370.0335010.32310.373684
380.0871940.84090.20129
390.0024890.0240.490452
40-0.025211-0.24310.404222
41-0.042503-0.40990.341418
42-0.01557-0.15020.440485
43-0.099086-0.95550.170889
44-0.082169-0.79240.215068
45-0.042158-0.40660.342634
46-0.025413-0.24510.403468
470.0178440.17210.431874
48-0.088948-0.85780.196608
490.0307980.2970.383561
50-0.041765-0.40280.344024
510.0322010.31050.378426
52-0.014944-0.14410.442861
530.0559230.53930.295483
54-0.046952-0.45280.325877
550.107271.03450.1518
56-0.047914-0.46210.322557
570.08690.8380.20208
58-0.091013-0.87770.191185
59-0.026255-0.25320.40034
60-0.068392-0.65950.255587



Parameters (Session):
par1 = 60 ; par2 = -1.1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = -1.1 ; 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')