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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 computationFri, 19 Dec 2008 02:30:17 -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/19/t1229679084moll3iohgk73573.htm/, Retrieved Wed, 15 May 2024 20:40:01 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=35001, Retrieved Wed, 15 May 2024 20:40:01 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact243
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] [f9c5a49917ff87aeb076072f2749ef70]
-   PD      [(Partial) Autocorrelation Function] [Paper statistiek_...] [2008-12-19 09:30:17] [e221948dd14811c7d88a6530ac2a8702] [Current]
-    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:
98,1
101,1
111,1
93,3
100
108
70,4
75,4
105,5
112,3
102,5
93,5
86,7
95,2
103,8
97
95,5
101
67,5
64
106,7
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
56,2
63,3
77,8
92
78,1
65,1
71,1
70,9
72
81,9
70,6
72,5
65,1
54,9
80




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=35001&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=35001&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35001&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
10.4403584.24672.6e-05
20.0874090.84290.200711
30.2062871.98940.0248
40.148411.43120.07786
50.3111273.00040.00173
60.458034.41711.3e-05
70.3017422.90990.002262
80.1769791.70670.045605
90.1579291.5230.065574
100.0158780.15310.439318
110.3179053.06580.001421
120.7192166.93590
130.3034762.92660.002153
14-0.032093-0.30950.378821
150.0713860.68840.24645
160.0461110.44470.328794
170.1595981.53910.063587
180.3018532.9110.002255
190.1514261.46030.073789
200.0505510.48750.313527
210.0373010.35970.359936
22-0.088255-0.85110.19845
230.1876681.80980.036778
240.4800014.6296e-06
250.1375251.32620.094003
26-0.140658-1.35650.089119
27-0.091517-0.88260.189875
28-0.071288-0.68750.246746
290.0082510.07960.468373
300.1225311.18160.12018
310.0395210.38110.351991
32-0.048429-0.4670.320784
33-0.073359-0.70750.240528
34-0.170563-1.64480.051689
350.0311570.30050.382247
360.3006542.89940.002332
370.0342590.33040.370929
38-0.18629-1.79650.03783
39-0.135155-1.30340.097831
40-0.129214-1.24610.10793
41-0.069533-0.67060.252083
420.0095980.09260.463225
43-0.059541-0.57420.283611
44-0.121202-1.16880.12273
45-0.143329-1.38220.085108
46-0.21021-2.02720.022753
47-0.037631-0.36290.35875
480.1470281.41790.079783
49-0.043483-0.41930.33797
50-0.239078-2.30560.011678
51-0.196986-1.89970.030288
52-0.174279-1.68070.04809
53-0.129601-1.24980.10725
54-0.054609-0.52660.299853
55-0.08477-0.81750.207869
56-0.138701-1.33760.092147
57-0.150843-1.45470.074562
58-0.206241-1.98890.024824
59-0.082127-0.7920.215188
600.070440.67930.249318

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.440358 & 4.2467 & 2.6e-05 \tabularnewline
2 & 0.087409 & 0.8429 & 0.200711 \tabularnewline
3 & 0.206287 & 1.9894 & 0.0248 \tabularnewline
4 & 0.14841 & 1.4312 & 0.07786 \tabularnewline
5 & 0.311127 & 3.0004 & 0.00173 \tabularnewline
6 & 0.45803 & 4.4171 & 1.3e-05 \tabularnewline
7 & 0.301742 & 2.9099 & 0.002262 \tabularnewline
8 & 0.176979 & 1.7067 & 0.045605 \tabularnewline
9 & 0.157929 & 1.523 & 0.065574 \tabularnewline
10 & 0.015878 & 0.1531 & 0.439318 \tabularnewline
11 & 0.317905 & 3.0658 & 0.001421 \tabularnewline
12 & 0.719216 & 6.9359 & 0 \tabularnewline
13 & 0.303476 & 2.9266 & 0.002153 \tabularnewline
14 & -0.032093 & -0.3095 & 0.378821 \tabularnewline
15 & 0.071386 & 0.6884 & 0.24645 \tabularnewline
16 & 0.046111 & 0.4447 & 0.328794 \tabularnewline
17 & 0.159598 & 1.5391 & 0.063587 \tabularnewline
18 & 0.301853 & 2.911 & 0.002255 \tabularnewline
19 & 0.151426 & 1.4603 & 0.073789 \tabularnewline
20 & 0.050551 & 0.4875 & 0.313527 \tabularnewline
21 & 0.037301 & 0.3597 & 0.359936 \tabularnewline
22 & -0.088255 & -0.8511 & 0.19845 \tabularnewline
23 & 0.187668 & 1.8098 & 0.036778 \tabularnewline
24 & 0.480001 & 4.629 & 6e-06 \tabularnewline
25 & 0.137525 & 1.3262 & 0.094003 \tabularnewline
26 & -0.140658 & -1.3565 & 0.089119 \tabularnewline
27 & -0.091517 & -0.8826 & 0.189875 \tabularnewline
28 & -0.071288 & -0.6875 & 0.246746 \tabularnewline
29 & 0.008251 & 0.0796 & 0.468373 \tabularnewline
30 & 0.122531 & 1.1816 & 0.12018 \tabularnewline
31 & 0.039521 & 0.3811 & 0.351991 \tabularnewline
32 & -0.048429 & -0.467 & 0.320784 \tabularnewline
33 & -0.073359 & -0.7075 & 0.240528 \tabularnewline
34 & -0.170563 & -1.6448 & 0.051689 \tabularnewline
35 & 0.031157 & 0.3005 & 0.382247 \tabularnewline
36 & 0.300654 & 2.8994 & 0.002332 \tabularnewline
37 & 0.034259 & 0.3304 & 0.370929 \tabularnewline
38 & -0.18629 & -1.7965 & 0.03783 \tabularnewline
39 & -0.135155 & -1.3034 & 0.097831 \tabularnewline
40 & -0.129214 & -1.2461 & 0.10793 \tabularnewline
41 & -0.069533 & -0.6706 & 0.252083 \tabularnewline
42 & 0.009598 & 0.0926 & 0.463225 \tabularnewline
43 & -0.059541 & -0.5742 & 0.283611 \tabularnewline
44 & -0.121202 & -1.1688 & 0.12273 \tabularnewline
45 & -0.143329 & -1.3822 & 0.085108 \tabularnewline
46 & -0.21021 & -2.0272 & 0.022753 \tabularnewline
47 & -0.037631 & -0.3629 & 0.35875 \tabularnewline
48 & 0.147028 & 1.4179 & 0.079783 \tabularnewline
49 & -0.043483 & -0.4193 & 0.33797 \tabularnewline
50 & -0.239078 & -2.3056 & 0.011678 \tabularnewline
51 & -0.196986 & -1.8997 & 0.030288 \tabularnewline
52 & -0.174279 & -1.6807 & 0.04809 \tabularnewline
53 & -0.129601 & -1.2498 & 0.10725 \tabularnewline
54 & -0.054609 & -0.5266 & 0.299853 \tabularnewline
55 & -0.08477 & -0.8175 & 0.207869 \tabularnewline
56 & -0.138701 & -1.3376 & 0.092147 \tabularnewline
57 & -0.150843 & -1.4547 & 0.074562 \tabularnewline
58 & -0.206241 & -1.9889 & 0.024824 \tabularnewline
59 & -0.082127 & -0.792 & 0.215188 \tabularnewline
60 & 0.07044 & 0.6793 & 0.249318 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35001&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]0.440358[/C][C]4.2467[/C][C]2.6e-05[/C][/ROW]
[ROW][C]2[/C][C]0.087409[/C][C]0.8429[/C][C]0.200711[/C][/ROW]
[ROW][C]3[/C][C]0.206287[/C][C]1.9894[/C][C]0.0248[/C][/ROW]
[ROW][C]4[/C][C]0.14841[/C][C]1.4312[/C][C]0.07786[/C][/ROW]
[ROW][C]5[/C][C]0.311127[/C][C]3.0004[/C][C]0.00173[/C][/ROW]
[ROW][C]6[/C][C]0.45803[/C][C]4.4171[/C][C]1.3e-05[/C][/ROW]
[ROW][C]7[/C][C]0.301742[/C][C]2.9099[/C][C]0.002262[/C][/ROW]
[ROW][C]8[/C][C]0.176979[/C][C]1.7067[/C][C]0.045605[/C][/ROW]
[ROW][C]9[/C][C]0.157929[/C][C]1.523[/C][C]0.065574[/C][/ROW]
[ROW][C]10[/C][C]0.015878[/C][C]0.1531[/C][C]0.439318[/C][/ROW]
[ROW][C]11[/C][C]0.317905[/C][C]3.0658[/C][C]0.001421[/C][/ROW]
[ROW][C]12[/C][C]0.719216[/C][C]6.9359[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.303476[/C][C]2.9266[/C][C]0.002153[/C][/ROW]
[ROW][C]14[/C][C]-0.032093[/C][C]-0.3095[/C][C]0.378821[/C][/ROW]
[ROW][C]15[/C][C]0.071386[/C][C]0.6884[/C][C]0.24645[/C][/ROW]
[ROW][C]16[/C][C]0.046111[/C][C]0.4447[/C][C]0.328794[/C][/ROW]
[ROW][C]17[/C][C]0.159598[/C][C]1.5391[/C][C]0.063587[/C][/ROW]
[ROW][C]18[/C][C]0.301853[/C][C]2.911[/C][C]0.002255[/C][/ROW]
[ROW][C]19[/C][C]0.151426[/C][C]1.4603[/C][C]0.073789[/C][/ROW]
[ROW][C]20[/C][C]0.050551[/C][C]0.4875[/C][C]0.313527[/C][/ROW]
[ROW][C]21[/C][C]0.037301[/C][C]0.3597[/C][C]0.359936[/C][/ROW]
[ROW][C]22[/C][C]-0.088255[/C][C]-0.8511[/C][C]0.19845[/C][/ROW]
[ROW][C]23[/C][C]0.187668[/C][C]1.8098[/C][C]0.036778[/C][/ROW]
[ROW][C]24[/C][C]0.480001[/C][C]4.629[/C][C]6e-06[/C][/ROW]
[ROW][C]25[/C][C]0.137525[/C][C]1.3262[/C][C]0.094003[/C][/ROW]
[ROW][C]26[/C][C]-0.140658[/C][C]-1.3565[/C][C]0.089119[/C][/ROW]
[ROW][C]27[/C][C]-0.091517[/C][C]-0.8826[/C][C]0.189875[/C][/ROW]
[ROW][C]28[/C][C]-0.071288[/C][C]-0.6875[/C][C]0.246746[/C][/ROW]
[ROW][C]29[/C][C]0.008251[/C][C]0.0796[/C][C]0.468373[/C][/ROW]
[ROW][C]30[/C][C]0.122531[/C][C]1.1816[/C][C]0.12018[/C][/ROW]
[ROW][C]31[/C][C]0.039521[/C][C]0.3811[/C][C]0.351991[/C][/ROW]
[ROW][C]32[/C][C]-0.048429[/C][C]-0.467[/C][C]0.320784[/C][/ROW]
[ROW][C]33[/C][C]-0.073359[/C][C]-0.7075[/C][C]0.240528[/C][/ROW]
[ROW][C]34[/C][C]-0.170563[/C][C]-1.6448[/C][C]0.051689[/C][/ROW]
[ROW][C]35[/C][C]0.031157[/C][C]0.3005[/C][C]0.382247[/C][/ROW]
[ROW][C]36[/C][C]0.300654[/C][C]2.8994[/C][C]0.002332[/C][/ROW]
[ROW][C]37[/C][C]0.034259[/C][C]0.3304[/C][C]0.370929[/C][/ROW]
[ROW][C]38[/C][C]-0.18629[/C][C]-1.7965[/C][C]0.03783[/C][/ROW]
[ROW][C]39[/C][C]-0.135155[/C][C]-1.3034[/C][C]0.097831[/C][/ROW]
[ROW][C]40[/C][C]-0.129214[/C][C]-1.2461[/C][C]0.10793[/C][/ROW]
[ROW][C]41[/C][C]-0.069533[/C][C]-0.6706[/C][C]0.252083[/C][/ROW]
[ROW][C]42[/C][C]0.009598[/C][C]0.0926[/C][C]0.463225[/C][/ROW]
[ROW][C]43[/C][C]-0.059541[/C][C]-0.5742[/C][C]0.283611[/C][/ROW]
[ROW][C]44[/C][C]-0.121202[/C][C]-1.1688[/C][C]0.12273[/C][/ROW]
[ROW][C]45[/C][C]-0.143329[/C][C]-1.3822[/C][C]0.085108[/C][/ROW]
[ROW][C]46[/C][C]-0.21021[/C][C]-2.0272[/C][C]0.022753[/C][/ROW]
[ROW][C]47[/C][C]-0.037631[/C][C]-0.3629[/C][C]0.35875[/C][/ROW]
[ROW][C]48[/C][C]0.147028[/C][C]1.4179[/C][C]0.079783[/C][/ROW]
[ROW][C]49[/C][C]-0.043483[/C][C]-0.4193[/C][C]0.33797[/C][/ROW]
[ROW][C]50[/C][C]-0.239078[/C][C]-2.3056[/C][C]0.011678[/C][/ROW]
[ROW][C]51[/C][C]-0.196986[/C][C]-1.8997[/C][C]0.030288[/C][/ROW]
[ROW][C]52[/C][C]-0.174279[/C][C]-1.6807[/C][C]0.04809[/C][/ROW]
[ROW][C]53[/C][C]-0.129601[/C][C]-1.2498[/C][C]0.10725[/C][/ROW]
[ROW][C]54[/C][C]-0.054609[/C][C]-0.5266[/C][C]0.299853[/C][/ROW]
[ROW][C]55[/C][C]-0.08477[/C][C]-0.8175[/C][C]0.207869[/C][/ROW]
[ROW][C]56[/C][C]-0.138701[/C][C]-1.3376[/C][C]0.092147[/C][/ROW]
[ROW][C]57[/C][C]-0.150843[/C][C]-1.4547[/C][C]0.074562[/C][/ROW]
[ROW][C]58[/C][C]-0.206241[/C][C]-1.9889[/C][C]0.024824[/C][/ROW]
[ROW][C]59[/C][C]-0.082127[/C][C]-0.792[/C][C]0.215188[/C][/ROW]
[ROW][C]60[/C][C]0.07044[/C][C]0.6793[/C][C]0.249318[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35001&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35001&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
10.4403584.24672.6e-05
20.0874090.84290.200711
30.2062871.98940.0248
40.148411.43120.07786
50.3111273.00040.00173
60.458034.41711.3e-05
70.3017422.90990.002262
80.1769791.70670.045605
90.1579291.5230.065574
100.0158780.15310.439318
110.3179053.06580.001421
120.7192166.93590
130.3034762.92660.002153
14-0.032093-0.30950.378821
150.0713860.68840.24645
160.0461110.44470.328794
170.1595981.53910.063587
180.3018532.9110.002255
190.1514261.46030.073789
200.0505510.48750.313527
210.0373010.35970.359936
22-0.088255-0.85110.19845
230.1876681.80980.036778
240.4800014.6296e-06
250.1375251.32620.094003
26-0.140658-1.35650.089119
27-0.091517-0.88260.189875
28-0.071288-0.68750.246746
290.0082510.07960.468373
300.1225311.18160.12018
310.0395210.38110.351991
32-0.048429-0.4670.320784
33-0.073359-0.70750.240528
34-0.170563-1.64480.051689
350.0311570.30050.382247
360.3006542.89940.002332
370.0342590.33040.370929
38-0.18629-1.79650.03783
39-0.135155-1.30340.097831
40-0.129214-1.24610.10793
41-0.069533-0.67060.252083
420.0095980.09260.463225
43-0.059541-0.57420.283611
44-0.121202-1.16880.12273
45-0.143329-1.38220.085108
46-0.21021-2.02720.022753
47-0.037631-0.36290.35875
480.1470281.41790.079783
49-0.043483-0.41930.33797
50-0.239078-2.30560.011678
51-0.196986-1.89970.030288
52-0.174279-1.68070.04809
53-0.129601-1.24980.10725
54-0.054609-0.52660.299853
55-0.08477-0.81750.207869
56-0.138701-1.33760.092147
57-0.150843-1.45470.074562
58-0.206241-1.98890.024824
59-0.082127-0.7920.215188
600.070440.67930.249318







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.4403584.24672.6e-05
2-0.132128-1.27420.102885
30.2789022.68960.004239
4-0.083718-0.80730.210763
50.410043.95437.5e-05
60.1524261.46990.072476
70.1303181.25670.105997
8-0.01451-0.13990.444511
90.0354670.3420.36655
10-0.248374-2.39520.009307
110.4767034.59727e-06
120.3996763.85430.000107
13-0.257939-2.48750.007324
14-0.295417-2.84890.002701
150.0165340.15940.436832
16-0.031271-0.30160.381828
17-0.108889-1.05010.1482
18-0.116152-1.12010.132771
19-0.034841-0.3360.368817
20-0.047214-0.45530.324971
210.0811840.78290.217835
220.0046190.04450.482283
230.1167761.12610.131501
24-0.105875-1.0210.154947
250.0338620.32660.372371
26-0.059014-0.56910.285325
27-0.061054-0.58880.278717
28-0.056867-0.54840.292363
29-0.087727-0.8460.19986
30-0.062561-0.60330.273884
310.0864310.83350.203346
320.0077620.07490.470244
330.0255310.24620.403029
34-0.045895-0.44260.329542
35-0.029206-0.28160.389419
360.1061571.02370.154306
370.0143610.13850.445075
380.0784530.75660.22561
39-0.025632-0.24720.402654
40-0.011035-0.10640.457739
41-0.055407-0.53430.297197
42-0.021748-0.20970.417167
43-0.147563-1.4230.079034
44-0.069893-0.6740.250984
45-0.068828-0.66380.254246
460.0516560.49820.309775
470.0170470.16440.43489
48-0.057861-0.5580.289096
490.0180860.17440.430959
50-0.010062-0.0970.461454
510.0165110.15920.436917
52-0.009001-0.08680.465506
530.0150450.14510.442476
54-0.044046-0.42480.335995
550.0900810.86870.193622
56-0.03144-0.30320.381209
570.0805760.7770.219551
58-0.092207-0.88920.188093
59-0.019357-0.18670.426163
60-0.064973-0.62660.266237

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.440358 & 4.2467 & 2.6e-05 \tabularnewline
2 & -0.132128 & -1.2742 & 0.102885 \tabularnewline
3 & 0.278902 & 2.6896 & 0.004239 \tabularnewline
4 & -0.083718 & -0.8073 & 0.210763 \tabularnewline
5 & 0.41004 & 3.9543 & 7.5e-05 \tabularnewline
6 & 0.152426 & 1.4699 & 0.072476 \tabularnewline
7 & 0.130318 & 1.2567 & 0.105997 \tabularnewline
8 & -0.01451 & -0.1399 & 0.444511 \tabularnewline
9 & 0.035467 & 0.342 & 0.36655 \tabularnewline
10 & -0.248374 & -2.3952 & 0.009307 \tabularnewline
11 & 0.476703 & 4.5972 & 7e-06 \tabularnewline
12 & 0.399676 & 3.8543 & 0.000107 \tabularnewline
13 & -0.257939 & -2.4875 & 0.007324 \tabularnewline
14 & -0.295417 & -2.8489 & 0.002701 \tabularnewline
15 & 0.016534 & 0.1594 & 0.436832 \tabularnewline
16 & -0.031271 & -0.3016 & 0.381828 \tabularnewline
17 & -0.108889 & -1.0501 & 0.1482 \tabularnewline
18 & -0.116152 & -1.1201 & 0.132771 \tabularnewline
19 & -0.034841 & -0.336 & 0.368817 \tabularnewline
20 & -0.047214 & -0.4553 & 0.324971 \tabularnewline
21 & 0.081184 & 0.7829 & 0.217835 \tabularnewline
22 & 0.004619 & 0.0445 & 0.482283 \tabularnewline
23 & 0.116776 & 1.1261 & 0.131501 \tabularnewline
24 & -0.105875 & -1.021 & 0.154947 \tabularnewline
25 & 0.033862 & 0.3266 & 0.372371 \tabularnewline
26 & -0.059014 & -0.5691 & 0.285325 \tabularnewline
27 & -0.061054 & -0.5888 & 0.278717 \tabularnewline
28 & -0.056867 & -0.5484 & 0.292363 \tabularnewline
29 & -0.087727 & -0.846 & 0.19986 \tabularnewline
30 & -0.062561 & -0.6033 & 0.273884 \tabularnewline
31 & 0.086431 & 0.8335 & 0.203346 \tabularnewline
32 & 0.007762 & 0.0749 & 0.470244 \tabularnewline
33 & 0.025531 & 0.2462 & 0.403029 \tabularnewline
34 & -0.045895 & -0.4426 & 0.329542 \tabularnewline
35 & -0.029206 & -0.2816 & 0.389419 \tabularnewline
36 & 0.106157 & 1.0237 & 0.154306 \tabularnewline
37 & 0.014361 & 0.1385 & 0.445075 \tabularnewline
38 & 0.078453 & 0.7566 & 0.22561 \tabularnewline
39 & -0.025632 & -0.2472 & 0.402654 \tabularnewline
40 & -0.011035 & -0.1064 & 0.457739 \tabularnewline
41 & -0.055407 & -0.5343 & 0.297197 \tabularnewline
42 & -0.021748 & -0.2097 & 0.417167 \tabularnewline
43 & -0.147563 & -1.423 & 0.079034 \tabularnewline
44 & -0.069893 & -0.674 & 0.250984 \tabularnewline
45 & -0.068828 & -0.6638 & 0.254246 \tabularnewline
46 & 0.051656 & 0.4982 & 0.309775 \tabularnewline
47 & 0.017047 & 0.1644 & 0.43489 \tabularnewline
48 & -0.057861 & -0.558 & 0.289096 \tabularnewline
49 & 0.018086 & 0.1744 & 0.430959 \tabularnewline
50 & -0.010062 & -0.097 & 0.461454 \tabularnewline
51 & 0.016511 & 0.1592 & 0.436917 \tabularnewline
52 & -0.009001 & -0.0868 & 0.465506 \tabularnewline
53 & 0.015045 & 0.1451 & 0.442476 \tabularnewline
54 & -0.044046 & -0.4248 & 0.335995 \tabularnewline
55 & 0.090081 & 0.8687 & 0.193622 \tabularnewline
56 & -0.03144 & -0.3032 & 0.381209 \tabularnewline
57 & 0.080576 & 0.777 & 0.219551 \tabularnewline
58 & -0.092207 & -0.8892 & 0.188093 \tabularnewline
59 & -0.019357 & -0.1867 & 0.426163 \tabularnewline
60 & -0.064973 & -0.6266 & 0.266237 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35001&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]0.440358[/C][C]4.2467[/C][C]2.6e-05[/C][/ROW]
[ROW][C]2[/C][C]-0.132128[/C][C]-1.2742[/C][C]0.102885[/C][/ROW]
[ROW][C]3[/C][C]0.278902[/C][C]2.6896[/C][C]0.004239[/C][/ROW]
[ROW][C]4[/C][C]-0.083718[/C][C]-0.8073[/C][C]0.210763[/C][/ROW]
[ROW][C]5[/C][C]0.41004[/C][C]3.9543[/C][C]7.5e-05[/C][/ROW]
[ROW][C]6[/C][C]0.152426[/C][C]1.4699[/C][C]0.072476[/C][/ROW]
[ROW][C]7[/C][C]0.130318[/C][C]1.2567[/C][C]0.105997[/C][/ROW]
[ROW][C]8[/C][C]-0.01451[/C][C]-0.1399[/C][C]0.444511[/C][/ROW]
[ROW][C]9[/C][C]0.035467[/C][C]0.342[/C][C]0.36655[/C][/ROW]
[ROW][C]10[/C][C]-0.248374[/C][C]-2.3952[/C][C]0.009307[/C][/ROW]
[ROW][C]11[/C][C]0.476703[/C][C]4.5972[/C][C]7e-06[/C][/ROW]
[ROW][C]12[/C][C]0.399676[/C][C]3.8543[/C][C]0.000107[/C][/ROW]
[ROW][C]13[/C][C]-0.257939[/C][C]-2.4875[/C][C]0.007324[/C][/ROW]
[ROW][C]14[/C][C]-0.295417[/C][C]-2.8489[/C][C]0.002701[/C][/ROW]
[ROW][C]15[/C][C]0.016534[/C][C]0.1594[/C][C]0.436832[/C][/ROW]
[ROW][C]16[/C][C]-0.031271[/C][C]-0.3016[/C][C]0.381828[/C][/ROW]
[ROW][C]17[/C][C]-0.108889[/C][C]-1.0501[/C][C]0.1482[/C][/ROW]
[ROW][C]18[/C][C]-0.116152[/C][C]-1.1201[/C][C]0.132771[/C][/ROW]
[ROW][C]19[/C][C]-0.034841[/C][C]-0.336[/C][C]0.368817[/C][/ROW]
[ROW][C]20[/C][C]-0.047214[/C][C]-0.4553[/C][C]0.324971[/C][/ROW]
[ROW][C]21[/C][C]0.081184[/C][C]0.7829[/C][C]0.217835[/C][/ROW]
[ROW][C]22[/C][C]0.004619[/C][C]0.0445[/C][C]0.482283[/C][/ROW]
[ROW][C]23[/C][C]0.116776[/C][C]1.1261[/C][C]0.131501[/C][/ROW]
[ROW][C]24[/C][C]-0.105875[/C][C]-1.021[/C][C]0.154947[/C][/ROW]
[ROW][C]25[/C][C]0.033862[/C][C]0.3266[/C][C]0.372371[/C][/ROW]
[ROW][C]26[/C][C]-0.059014[/C][C]-0.5691[/C][C]0.285325[/C][/ROW]
[ROW][C]27[/C][C]-0.061054[/C][C]-0.5888[/C][C]0.278717[/C][/ROW]
[ROW][C]28[/C][C]-0.056867[/C][C]-0.5484[/C][C]0.292363[/C][/ROW]
[ROW][C]29[/C][C]-0.087727[/C][C]-0.846[/C][C]0.19986[/C][/ROW]
[ROW][C]30[/C][C]-0.062561[/C][C]-0.6033[/C][C]0.273884[/C][/ROW]
[ROW][C]31[/C][C]0.086431[/C][C]0.8335[/C][C]0.203346[/C][/ROW]
[ROW][C]32[/C][C]0.007762[/C][C]0.0749[/C][C]0.470244[/C][/ROW]
[ROW][C]33[/C][C]0.025531[/C][C]0.2462[/C][C]0.403029[/C][/ROW]
[ROW][C]34[/C][C]-0.045895[/C][C]-0.4426[/C][C]0.329542[/C][/ROW]
[ROW][C]35[/C][C]-0.029206[/C][C]-0.2816[/C][C]0.389419[/C][/ROW]
[ROW][C]36[/C][C]0.106157[/C][C]1.0237[/C][C]0.154306[/C][/ROW]
[ROW][C]37[/C][C]0.014361[/C][C]0.1385[/C][C]0.445075[/C][/ROW]
[ROW][C]38[/C][C]0.078453[/C][C]0.7566[/C][C]0.22561[/C][/ROW]
[ROW][C]39[/C][C]-0.025632[/C][C]-0.2472[/C][C]0.402654[/C][/ROW]
[ROW][C]40[/C][C]-0.011035[/C][C]-0.1064[/C][C]0.457739[/C][/ROW]
[ROW][C]41[/C][C]-0.055407[/C][C]-0.5343[/C][C]0.297197[/C][/ROW]
[ROW][C]42[/C][C]-0.021748[/C][C]-0.2097[/C][C]0.417167[/C][/ROW]
[ROW][C]43[/C][C]-0.147563[/C][C]-1.423[/C][C]0.079034[/C][/ROW]
[ROW][C]44[/C][C]-0.069893[/C][C]-0.674[/C][C]0.250984[/C][/ROW]
[ROW][C]45[/C][C]-0.068828[/C][C]-0.6638[/C][C]0.254246[/C][/ROW]
[ROW][C]46[/C][C]0.051656[/C][C]0.4982[/C][C]0.309775[/C][/ROW]
[ROW][C]47[/C][C]0.017047[/C][C]0.1644[/C][C]0.43489[/C][/ROW]
[ROW][C]48[/C][C]-0.057861[/C][C]-0.558[/C][C]0.289096[/C][/ROW]
[ROW][C]49[/C][C]0.018086[/C][C]0.1744[/C][C]0.430959[/C][/ROW]
[ROW][C]50[/C][C]-0.010062[/C][C]-0.097[/C][C]0.461454[/C][/ROW]
[ROW][C]51[/C][C]0.016511[/C][C]0.1592[/C][C]0.436917[/C][/ROW]
[ROW][C]52[/C][C]-0.009001[/C][C]-0.0868[/C][C]0.465506[/C][/ROW]
[ROW][C]53[/C][C]0.015045[/C][C]0.1451[/C][C]0.442476[/C][/ROW]
[ROW][C]54[/C][C]-0.044046[/C][C]-0.4248[/C][C]0.335995[/C][/ROW]
[ROW][C]55[/C][C]0.090081[/C][C]0.8687[/C][C]0.193622[/C][/ROW]
[ROW][C]56[/C][C]-0.03144[/C][C]-0.3032[/C][C]0.381209[/C][/ROW]
[ROW][C]57[/C][C]0.080576[/C][C]0.777[/C][C]0.219551[/C][/ROW]
[ROW][C]58[/C][C]-0.092207[/C][C]-0.8892[/C][C]0.188093[/C][/ROW]
[ROW][C]59[/C][C]-0.019357[/C][C]-0.1867[/C][C]0.426163[/C][/ROW]
[ROW][C]60[/C][C]-0.064973[/C][C]-0.6266[/C][C]0.266237[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35001&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35001&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
10.4403584.24672.6e-05
2-0.132128-1.27420.102885
30.2789022.68960.004239
4-0.083718-0.80730.210763
50.410043.95437.5e-05
60.1524261.46990.072476
70.1303181.25670.105997
8-0.01451-0.13990.444511
90.0354670.3420.36655
10-0.248374-2.39520.009307
110.4767034.59727e-06
120.3996763.85430.000107
13-0.257939-2.48750.007324
14-0.295417-2.84890.002701
150.0165340.15940.436832
16-0.031271-0.30160.381828
17-0.108889-1.05010.1482
18-0.116152-1.12010.132771
19-0.034841-0.3360.368817
20-0.047214-0.45530.324971
210.0811840.78290.217835
220.0046190.04450.482283
230.1167761.12610.131501
24-0.105875-1.0210.154947
250.0338620.32660.372371
26-0.059014-0.56910.285325
27-0.061054-0.58880.278717
28-0.056867-0.54840.292363
29-0.087727-0.8460.19986
30-0.062561-0.60330.273884
310.0864310.83350.203346
320.0077620.07490.470244
330.0255310.24620.403029
34-0.045895-0.44260.329542
35-0.029206-0.28160.389419
360.1061571.02370.154306
370.0143610.13850.445075
380.0784530.75660.22561
39-0.025632-0.24720.402654
40-0.011035-0.10640.457739
41-0.055407-0.53430.297197
42-0.021748-0.20970.417167
43-0.147563-1.4230.079034
44-0.069893-0.6740.250984
45-0.068828-0.66380.254246
460.0516560.49820.309775
470.0170470.16440.43489
48-0.057861-0.5580.289096
490.0180860.17440.430959
50-0.010062-0.0970.461454
510.0165110.15920.436917
52-0.009001-0.08680.465506
530.0150450.14510.442476
54-0.044046-0.42480.335995
550.0900810.86870.193622
56-0.03144-0.30320.381209
570.0805760.7770.219551
58-0.092207-0.88920.188093
59-0.019357-0.18670.426163
60-0.064973-0.62660.266237



Parameters (Session):
par1 = 60 ; par2 = -0.1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = -0.1 ; 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')