Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationWed, 10 Dec 2008 15:38:57 -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/10/t1228948763c4avr84lggj5whu.htm/, Retrieved Thu, 31 Oct 2024 23:43:01 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=32143, Retrieved Thu, 31 Oct 2024 23:43:01 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact212
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Stefan Temmerman] [2008-12-10 22:38:57] [30f7cb12a8cb61e43b87da59ece37a2f] [Current]
-         [(Partial) Autocorrelation Function] [] [2008-12-21 13:56:18] [28075c6928548bea087cb2be962cfe7e]
- RMPD    [(Partial) Autocorrelation Function] [paperwerk_ACF1] [2010-12-19 13:00:11] [7e261c986c934df955dd3ac53e9d45c6]
-           [(Partial) Autocorrelation Function] [ACF_werkloos] [2010-12-22 15:50:15] [8441f95c4a5787a301bc621ebc7904ca]
-             [(Partial) Autocorrelation Function] [paperACF_werk] [2010-12-24 15:10:35] [7e261c986c934df955dd3ac53e9d45c6]
-             [(Partial) Autocorrelation Function] [Kristof Nagels] [2010-12-24 15:12:36] [8441f95c4a5787a301bc621ebc7904ca]
- RMPD    [(Partial) Autocorrelation Function] [paperwerk_ACF3] [2010-12-19 13:03:50] [7e261c986c934df955dd3ac53e9d45c6]
- RMPD    [(Partial) Autocorrelation Function] [paperwerk_ACF2] [2010-12-19 13:05:59] [7e261c986c934df955dd3ac53e9d45c6]
-           [(Partial) Autocorrelation Function] [ACFbis_werkloos] [2010-12-22 15:56:27] [8441f95c4a5787a301bc621ebc7904ca]
-             [(Partial) Autocorrelation Function] [paperACF_werk] [2010-12-24 15:11:48] [7e261c986c934df955dd3ac53e9d45c6]
-             [(Partial) Autocorrelation Function] [Kristof Nagels] [2010-12-24 15:13:32] [8441f95c4a5787a301bc621ebc7904ca]
Feedback Forum

Post a new message
Dataseries X:
7.3
7.1
7.1
6.8
6.5
6.3
6.1
6.1
6.3
6.3
6
6.2
6.4
6.8
7.5
7.5
7.6
7.6
7.4
7.3
7.1
6.9
6.8
7.5
7.6
7.8
8
8.1
8.2
8.3
8.2
8
7.9
7.6
7.6
8.2
8.3
8.4
8.4
8.4
8.6
8.9
8.8
8.3
7.5
7.2
7.5
8.8
9.3
9.3
8.7
8.2
8.3
8.5
8.6
8.6
8.2
8.1
8
8.6
8.7
8.8
8.5
8.4
8.5
8.7
8.7
8.6
8.5
8.3
8.1
8.2
8.1
8.1
7.9
7.9
7.9
8
8
7.9
8
7.7
7.2
7.5
7.3
7
7
7
7.2
7.3
7.1
6.8
6.6
6.2
6.2
6.8
6.9




Summary of computational 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 computational 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=32143&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]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=32143&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32143&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.9258399.11850
20.7987917.86720
30.6774756.67240
40.606155.96990
50.5878635.78980
60.5742095.65530
70.5290885.21091e-06
80.4729514.6585e-06
90.4364674.29872e-05
100.4255354.1913.1e-05
110.4305684.24062.5e-05
120.4164374.10144.3e-05
130.3393843.34250.00059
140.2521272.48320.007369
150.1736691.71040.045191
160.1282941.26360.10471
170.1096111.07950.141512
180.0915630.90180.184702
190.0545020.53680.296325
200.0136030.1340.446849
21-0.015324-0.15090.440175
22-0.029082-0.28640.387583
23-0.035654-0.35120.363117
24-0.04715-0.46440.321712
25-0.096661-0.9520.171732
26-0.148079-1.45840.073979
27-0.192465-1.89560.030497
28-0.216714-2.13440.017666
29-0.227214-2.23780.013761
30-0.235152-2.3160.011332
31-0.245327-2.41620.008777
32-0.25375-2.49920.007064
33-0.255315-2.51460.006782
34-0.260407-2.56470.00593
35-0.268052-2.640.004831
36-0.271354-2.67250.004416
37-0.290631-2.86240.002576
38-0.297447-2.92950.002116
39-0.304762-3.00160.001708
40-0.309838-3.05160.001468
41-0.326086-3.21160.000896
42-0.351257-3.45950.000403
43-0.381063-3.7530.000149
44-0.401305-3.95247.3e-05
45-0.398097-3.92088.2e-05
46-0.382282-3.7650.000143
47-0.350786-3.45480.000409
48-0.312199-3.07480.001368
49-0.297397-2.9290.002119
50-0.29571-2.91240.002225
51-0.312138-3.07420.001371
52-0.331787-3.26770.00075
53-0.346151-3.40920.000475
54-0.348341-3.43080.000443
55-0.344761-3.39550.000497
56-0.331752-3.26740.000751
57-0.310939-3.06240.001421
58-0.290616-2.86220.002577
59-0.262308-2.58340.005637
60-0.227271-2.23840.013742

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.925839 & 9.1185 & 0 \tabularnewline
2 & 0.798791 & 7.8672 & 0 \tabularnewline
3 & 0.677475 & 6.6724 & 0 \tabularnewline
4 & 0.60615 & 5.9699 & 0 \tabularnewline
5 & 0.587863 & 5.7898 & 0 \tabularnewline
6 & 0.574209 & 5.6553 & 0 \tabularnewline
7 & 0.529088 & 5.2109 & 1e-06 \tabularnewline
8 & 0.472951 & 4.658 & 5e-06 \tabularnewline
9 & 0.436467 & 4.2987 & 2e-05 \tabularnewline
10 & 0.425535 & 4.191 & 3.1e-05 \tabularnewline
11 & 0.430568 & 4.2406 & 2.5e-05 \tabularnewline
12 & 0.416437 & 4.1014 & 4.3e-05 \tabularnewline
13 & 0.339384 & 3.3425 & 0.00059 \tabularnewline
14 & 0.252127 & 2.4832 & 0.007369 \tabularnewline
15 & 0.173669 & 1.7104 & 0.045191 \tabularnewline
16 & 0.128294 & 1.2636 & 0.10471 \tabularnewline
17 & 0.109611 & 1.0795 & 0.141512 \tabularnewline
18 & 0.091563 & 0.9018 & 0.184702 \tabularnewline
19 & 0.054502 & 0.5368 & 0.296325 \tabularnewline
20 & 0.013603 & 0.134 & 0.446849 \tabularnewline
21 & -0.015324 & -0.1509 & 0.440175 \tabularnewline
22 & -0.029082 & -0.2864 & 0.387583 \tabularnewline
23 & -0.035654 & -0.3512 & 0.363117 \tabularnewline
24 & -0.04715 & -0.4644 & 0.321712 \tabularnewline
25 & -0.096661 & -0.952 & 0.171732 \tabularnewline
26 & -0.148079 & -1.4584 & 0.073979 \tabularnewline
27 & -0.192465 & -1.8956 & 0.030497 \tabularnewline
28 & -0.216714 & -2.1344 & 0.017666 \tabularnewline
29 & -0.227214 & -2.2378 & 0.013761 \tabularnewline
30 & -0.235152 & -2.316 & 0.011332 \tabularnewline
31 & -0.245327 & -2.4162 & 0.008777 \tabularnewline
32 & -0.25375 & -2.4992 & 0.007064 \tabularnewline
33 & -0.255315 & -2.5146 & 0.006782 \tabularnewline
34 & -0.260407 & -2.5647 & 0.00593 \tabularnewline
35 & -0.268052 & -2.64 & 0.004831 \tabularnewline
36 & -0.271354 & -2.6725 & 0.004416 \tabularnewline
37 & -0.290631 & -2.8624 & 0.002576 \tabularnewline
38 & -0.297447 & -2.9295 & 0.002116 \tabularnewline
39 & -0.304762 & -3.0016 & 0.001708 \tabularnewline
40 & -0.309838 & -3.0516 & 0.001468 \tabularnewline
41 & -0.326086 & -3.2116 & 0.000896 \tabularnewline
42 & -0.351257 & -3.4595 & 0.000403 \tabularnewline
43 & -0.381063 & -3.753 & 0.000149 \tabularnewline
44 & -0.401305 & -3.9524 & 7.3e-05 \tabularnewline
45 & -0.398097 & -3.9208 & 8.2e-05 \tabularnewline
46 & -0.382282 & -3.765 & 0.000143 \tabularnewline
47 & -0.350786 & -3.4548 & 0.000409 \tabularnewline
48 & -0.312199 & -3.0748 & 0.001368 \tabularnewline
49 & -0.297397 & -2.929 & 0.002119 \tabularnewline
50 & -0.29571 & -2.9124 & 0.002225 \tabularnewline
51 & -0.312138 & -3.0742 & 0.001371 \tabularnewline
52 & -0.331787 & -3.2677 & 0.00075 \tabularnewline
53 & -0.346151 & -3.4092 & 0.000475 \tabularnewline
54 & -0.348341 & -3.4308 & 0.000443 \tabularnewline
55 & -0.344761 & -3.3955 & 0.000497 \tabularnewline
56 & -0.331752 & -3.2674 & 0.000751 \tabularnewline
57 & -0.310939 & -3.0624 & 0.001421 \tabularnewline
58 & -0.290616 & -2.8622 & 0.002577 \tabularnewline
59 & -0.262308 & -2.5834 & 0.005637 \tabularnewline
60 & -0.227271 & -2.2384 & 0.013742 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32143&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]0.925839[/C][C]9.1185[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.798791[/C][C]7.8672[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.677475[/C][C]6.6724[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.60615[/C][C]5.9699[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.587863[/C][C]5.7898[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.574209[/C][C]5.6553[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.529088[/C][C]5.2109[/C][C]1e-06[/C][/ROW]
[ROW][C]8[/C][C]0.472951[/C][C]4.658[/C][C]5e-06[/C][/ROW]
[ROW][C]9[/C][C]0.436467[/C][C]4.2987[/C][C]2e-05[/C][/ROW]
[ROW][C]10[/C][C]0.425535[/C][C]4.191[/C][C]3.1e-05[/C][/ROW]
[ROW][C]11[/C][C]0.430568[/C][C]4.2406[/C][C]2.5e-05[/C][/ROW]
[ROW][C]12[/C][C]0.416437[/C][C]4.1014[/C][C]4.3e-05[/C][/ROW]
[ROW][C]13[/C][C]0.339384[/C][C]3.3425[/C][C]0.00059[/C][/ROW]
[ROW][C]14[/C][C]0.252127[/C][C]2.4832[/C][C]0.007369[/C][/ROW]
[ROW][C]15[/C][C]0.173669[/C][C]1.7104[/C][C]0.045191[/C][/ROW]
[ROW][C]16[/C][C]0.128294[/C][C]1.2636[/C][C]0.10471[/C][/ROW]
[ROW][C]17[/C][C]0.109611[/C][C]1.0795[/C][C]0.141512[/C][/ROW]
[ROW][C]18[/C][C]0.091563[/C][C]0.9018[/C][C]0.184702[/C][/ROW]
[ROW][C]19[/C][C]0.054502[/C][C]0.5368[/C][C]0.296325[/C][/ROW]
[ROW][C]20[/C][C]0.013603[/C][C]0.134[/C][C]0.446849[/C][/ROW]
[ROW][C]21[/C][C]-0.015324[/C][C]-0.1509[/C][C]0.440175[/C][/ROW]
[ROW][C]22[/C][C]-0.029082[/C][C]-0.2864[/C][C]0.387583[/C][/ROW]
[ROW][C]23[/C][C]-0.035654[/C][C]-0.3512[/C][C]0.363117[/C][/ROW]
[ROW][C]24[/C][C]-0.04715[/C][C]-0.4644[/C][C]0.321712[/C][/ROW]
[ROW][C]25[/C][C]-0.096661[/C][C]-0.952[/C][C]0.171732[/C][/ROW]
[ROW][C]26[/C][C]-0.148079[/C][C]-1.4584[/C][C]0.073979[/C][/ROW]
[ROW][C]27[/C][C]-0.192465[/C][C]-1.8956[/C][C]0.030497[/C][/ROW]
[ROW][C]28[/C][C]-0.216714[/C][C]-2.1344[/C][C]0.017666[/C][/ROW]
[ROW][C]29[/C][C]-0.227214[/C][C]-2.2378[/C][C]0.013761[/C][/ROW]
[ROW][C]30[/C][C]-0.235152[/C][C]-2.316[/C][C]0.011332[/C][/ROW]
[ROW][C]31[/C][C]-0.245327[/C][C]-2.4162[/C][C]0.008777[/C][/ROW]
[ROW][C]32[/C][C]-0.25375[/C][C]-2.4992[/C][C]0.007064[/C][/ROW]
[ROW][C]33[/C][C]-0.255315[/C][C]-2.5146[/C][C]0.006782[/C][/ROW]
[ROW][C]34[/C][C]-0.260407[/C][C]-2.5647[/C][C]0.00593[/C][/ROW]
[ROW][C]35[/C][C]-0.268052[/C][C]-2.64[/C][C]0.004831[/C][/ROW]
[ROW][C]36[/C][C]-0.271354[/C][C]-2.6725[/C][C]0.004416[/C][/ROW]
[ROW][C]37[/C][C]-0.290631[/C][C]-2.8624[/C][C]0.002576[/C][/ROW]
[ROW][C]38[/C][C]-0.297447[/C][C]-2.9295[/C][C]0.002116[/C][/ROW]
[ROW][C]39[/C][C]-0.304762[/C][C]-3.0016[/C][C]0.001708[/C][/ROW]
[ROW][C]40[/C][C]-0.309838[/C][C]-3.0516[/C][C]0.001468[/C][/ROW]
[ROW][C]41[/C][C]-0.326086[/C][C]-3.2116[/C][C]0.000896[/C][/ROW]
[ROW][C]42[/C][C]-0.351257[/C][C]-3.4595[/C][C]0.000403[/C][/ROW]
[ROW][C]43[/C][C]-0.381063[/C][C]-3.753[/C][C]0.000149[/C][/ROW]
[ROW][C]44[/C][C]-0.401305[/C][C]-3.9524[/C][C]7.3e-05[/C][/ROW]
[ROW][C]45[/C][C]-0.398097[/C][C]-3.9208[/C][C]8.2e-05[/C][/ROW]
[ROW][C]46[/C][C]-0.382282[/C][C]-3.765[/C][C]0.000143[/C][/ROW]
[ROW][C]47[/C][C]-0.350786[/C][C]-3.4548[/C][C]0.000409[/C][/ROW]
[ROW][C]48[/C][C]-0.312199[/C][C]-3.0748[/C][C]0.001368[/C][/ROW]
[ROW][C]49[/C][C]-0.297397[/C][C]-2.929[/C][C]0.002119[/C][/ROW]
[ROW][C]50[/C][C]-0.29571[/C][C]-2.9124[/C][C]0.002225[/C][/ROW]
[ROW][C]51[/C][C]-0.312138[/C][C]-3.0742[/C][C]0.001371[/C][/ROW]
[ROW][C]52[/C][C]-0.331787[/C][C]-3.2677[/C][C]0.00075[/C][/ROW]
[ROW][C]53[/C][C]-0.346151[/C][C]-3.4092[/C][C]0.000475[/C][/ROW]
[ROW][C]54[/C][C]-0.348341[/C][C]-3.4308[/C][C]0.000443[/C][/ROW]
[ROW][C]55[/C][C]-0.344761[/C][C]-3.3955[/C][C]0.000497[/C][/ROW]
[ROW][C]56[/C][C]-0.331752[/C][C]-3.2674[/C][C]0.000751[/C][/ROW]
[ROW][C]57[/C][C]-0.310939[/C][C]-3.0624[/C][C]0.001421[/C][/ROW]
[ROW][C]58[/C][C]-0.290616[/C][C]-2.8622[/C][C]0.002577[/C][/ROW]
[ROW][C]59[/C][C]-0.262308[/C][C]-2.5834[/C][C]0.005637[/C][/ROW]
[ROW][C]60[/C][C]-0.227271[/C][C]-2.2384[/C][C]0.013742[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32143&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32143&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
10.9258399.11850
20.7987917.86720
30.6774756.67240
40.606155.96990
50.5878635.78980
60.5742095.65530
70.5290885.21091e-06
80.4729514.6585e-06
90.4364674.29872e-05
100.4255354.1913.1e-05
110.4305684.24062.5e-05
120.4164374.10144.3e-05
130.3393843.34250.00059
140.2521272.48320.007369
150.1736691.71040.045191
160.1282941.26360.10471
170.1096111.07950.141512
180.0915630.90180.184702
190.0545020.53680.296325
200.0136030.1340.446849
21-0.015324-0.15090.440175
22-0.029082-0.28640.387583
23-0.035654-0.35120.363117
24-0.04715-0.46440.321712
25-0.096661-0.9520.171732
26-0.148079-1.45840.073979
27-0.192465-1.89560.030497
28-0.216714-2.13440.017666
29-0.227214-2.23780.013761
30-0.235152-2.3160.011332
31-0.245327-2.41620.008777
32-0.25375-2.49920.007064
33-0.255315-2.51460.006782
34-0.260407-2.56470.00593
35-0.268052-2.640.004831
36-0.271354-2.67250.004416
37-0.290631-2.86240.002576
38-0.297447-2.92950.002116
39-0.304762-3.00160.001708
40-0.309838-3.05160.001468
41-0.326086-3.21160.000896
42-0.351257-3.45950.000403
43-0.381063-3.7530.000149
44-0.401305-3.95247.3e-05
45-0.398097-3.92088.2e-05
46-0.382282-3.7650.000143
47-0.350786-3.45480.000409
48-0.312199-3.07480.001368
49-0.297397-2.9290.002119
50-0.29571-2.91240.002225
51-0.312138-3.07420.001371
52-0.331787-3.26770.00075
53-0.346151-3.40920.000475
54-0.348341-3.43080.000443
55-0.344761-3.39550.000497
56-0.331752-3.26740.000751
57-0.310939-3.06240.001421
58-0.290616-2.86220.002577
59-0.262308-2.58340.005637
60-0.227271-2.23840.013742







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9258399.11850
2-0.408796-4.02625.6e-05
30.1183371.16550.12334
40.2558452.51980.006688
50.1389961.36890.087089
6-0.175419-1.72770.043614
7-0.138758-1.36660.087454
80.2022591.9920.02459
90.1729231.70310.045876
10-0.096408-0.94950.172361
11-0.054518-0.53690.296268
12-0.048367-0.47640.317443
13-0.330442-3.25450.000782
140.2294592.25990.013032
15-0.0996-0.98090.164529
16-0.064575-0.6360.26314
17-0.080904-0.79680.213754
180.0877750.86450.194728
19-0.017481-0.17220.431831
20-0.043169-0.42520.33583
21-0.002513-0.02480.490151
220.0114510.11280.455219
23-0.085391-0.8410.201206
240.0928180.91420.181452
25-0.197679-1.94690.027219
260.0443130.43640.331747
270.0024420.0240.490432
28-0.040178-0.39570.346595
29-0.086878-0.85560.197151
300.0436290.42970.334184
310.1231281.21270.1141
32-0.113955-1.12230.132248
33-0.053562-0.52750.299516
34-0.040396-0.39790.345806
350.0469130.4620.322544
360.0473170.4660.321124
37-0.101748-1.00210.159394
380.0239050.23540.407182
39-0.068275-0.67240.251454
40-0.001767-0.01740.493076
41-0.15835-1.55960.06106
42-0.087102-0.85790.196543
43-0.036766-0.36210.35903
440.0052850.0520.479299
450.0737320.72620.23474
460.0119840.1180.453146
470.1079311.0630.145211
48-0.01122-0.11050.45612
49-0.128859-1.26910.103719
50-0.094268-0.92840.177744
51-0.006007-0.05920.476474
52-0.054205-0.53390.297329
530.0204770.20170.420296
54-0.03194-0.31460.376882
55-0.00298-0.02930.488324
560.0143330.14120.444017
57-0.01684-0.16590.43431
58-0.03047-0.30010.382373
59-0.028345-0.27920.390355
600.0057940.05710.477304

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.925839 & 9.1185 & 0 \tabularnewline
2 & -0.408796 & -4.0262 & 5.6e-05 \tabularnewline
3 & 0.118337 & 1.1655 & 0.12334 \tabularnewline
4 & 0.255845 & 2.5198 & 0.006688 \tabularnewline
5 & 0.138996 & 1.3689 & 0.087089 \tabularnewline
6 & -0.175419 & -1.7277 & 0.043614 \tabularnewline
7 & -0.138758 & -1.3666 & 0.087454 \tabularnewline
8 & 0.202259 & 1.992 & 0.02459 \tabularnewline
9 & 0.172923 & 1.7031 & 0.045876 \tabularnewline
10 & -0.096408 & -0.9495 & 0.172361 \tabularnewline
11 & -0.054518 & -0.5369 & 0.296268 \tabularnewline
12 & -0.048367 & -0.4764 & 0.317443 \tabularnewline
13 & -0.330442 & -3.2545 & 0.000782 \tabularnewline
14 & 0.229459 & 2.2599 & 0.013032 \tabularnewline
15 & -0.0996 & -0.9809 & 0.164529 \tabularnewline
16 & -0.064575 & -0.636 & 0.26314 \tabularnewline
17 & -0.080904 & -0.7968 & 0.213754 \tabularnewline
18 & 0.087775 & 0.8645 & 0.194728 \tabularnewline
19 & -0.017481 & -0.1722 & 0.431831 \tabularnewline
20 & -0.043169 & -0.4252 & 0.33583 \tabularnewline
21 & -0.002513 & -0.0248 & 0.490151 \tabularnewline
22 & 0.011451 & 0.1128 & 0.455219 \tabularnewline
23 & -0.085391 & -0.841 & 0.201206 \tabularnewline
24 & 0.092818 & 0.9142 & 0.181452 \tabularnewline
25 & -0.197679 & -1.9469 & 0.027219 \tabularnewline
26 & 0.044313 & 0.4364 & 0.331747 \tabularnewline
27 & 0.002442 & 0.024 & 0.490432 \tabularnewline
28 & -0.040178 & -0.3957 & 0.346595 \tabularnewline
29 & -0.086878 & -0.8556 & 0.197151 \tabularnewline
30 & 0.043629 & 0.4297 & 0.334184 \tabularnewline
31 & 0.123128 & 1.2127 & 0.1141 \tabularnewline
32 & -0.113955 & -1.1223 & 0.132248 \tabularnewline
33 & -0.053562 & -0.5275 & 0.299516 \tabularnewline
34 & -0.040396 & -0.3979 & 0.345806 \tabularnewline
35 & 0.046913 & 0.462 & 0.322544 \tabularnewline
36 & 0.047317 & 0.466 & 0.321124 \tabularnewline
37 & -0.101748 & -1.0021 & 0.159394 \tabularnewline
38 & 0.023905 & 0.2354 & 0.407182 \tabularnewline
39 & -0.068275 & -0.6724 & 0.251454 \tabularnewline
40 & -0.001767 & -0.0174 & 0.493076 \tabularnewline
41 & -0.15835 & -1.5596 & 0.06106 \tabularnewline
42 & -0.087102 & -0.8579 & 0.196543 \tabularnewline
43 & -0.036766 & -0.3621 & 0.35903 \tabularnewline
44 & 0.005285 & 0.052 & 0.479299 \tabularnewline
45 & 0.073732 & 0.7262 & 0.23474 \tabularnewline
46 & 0.011984 & 0.118 & 0.453146 \tabularnewline
47 & 0.107931 & 1.063 & 0.145211 \tabularnewline
48 & -0.01122 & -0.1105 & 0.45612 \tabularnewline
49 & -0.128859 & -1.2691 & 0.103719 \tabularnewline
50 & -0.094268 & -0.9284 & 0.177744 \tabularnewline
51 & -0.006007 & -0.0592 & 0.476474 \tabularnewline
52 & -0.054205 & -0.5339 & 0.297329 \tabularnewline
53 & 0.020477 & 0.2017 & 0.420296 \tabularnewline
54 & -0.03194 & -0.3146 & 0.376882 \tabularnewline
55 & -0.00298 & -0.0293 & 0.488324 \tabularnewline
56 & 0.014333 & 0.1412 & 0.444017 \tabularnewline
57 & -0.01684 & -0.1659 & 0.43431 \tabularnewline
58 & -0.03047 & -0.3001 & 0.382373 \tabularnewline
59 & -0.028345 & -0.2792 & 0.390355 \tabularnewline
60 & 0.005794 & 0.0571 & 0.477304 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32143&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]0.925839[/C][C]9.1185[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.408796[/C][C]-4.0262[/C][C]5.6e-05[/C][/ROW]
[ROW][C]3[/C][C]0.118337[/C][C]1.1655[/C][C]0.12334[/C][/ROW]
[ROW][C]4[/C][C]0.255845[/C][C]2.5198[/C][C]0.006688[/C][/ROW]
[ROW][C]5[/C][C]0.138996[/C][C]1.3689[/C][C]0.087089[/C][/ROW]
[ROW][C]6[/C][C]-0.175419[/C][C]-1.7277[/C][C]0.043614[/C][/ROW]
[ROW][C]7[/C][C]-0.138758[/C][C]-1.3666[/C][C]0.087454[/C][/ROW]
[ROW][C]8[/C][C]0.202259[/C][C]1.992[/C][C]0.02459[/C][/ROW]
[ROW][C]9[/C][C]0.172923[/C][C]1.7031[/C][C]0.045876[/C][/ROW]
[ROW][C]10[/C][C]-0.096408[/C][C]-0.9495[/C][C]0.172361[/C][/ROW]
[ROW][C]11[/C][C]-0.054518[/C][C]-0.5369[/C][C]0.296268[/C][/ROW]
[ROW][C]12[/C][C]-0.048367[/C][C]-0.4764[/C][C]0.317443[/C][/ROW]
[ROW][C]13[/C][C]-0.330442[/C][C]-3.2545[/C][C]0.000782[/C][/ROW]
[ROW][C]14[/C][C]0.229459[/C][C]2.2599[/C][C]0.013032[/C][/ROW]
[ROW][C]15[/C][C]-0.0996[/C][C]-0.9809[/C][C]0.164529[/C][/ROW]
[ROW][C]16[/C][C]-0.064575[/C][C]-0.636[/C][C]0.26314[/C][/ROW]
[ROW][C]17[/C][C]-0.080904[/C][C]-0.7968[/C][C]0.213754[/C][/ROW]
[ROW][C]18[/C][C]0.087775[/C][C]0.8645[/C][C]0.194728[/C][/ROW]
[ROW][C]19[/C][C]-0.017481[/C][C]-0.1722[/C][C]0.431831[/C][/ROW]
[ROW][C]20[/C][C]-0.043169[/C][C]-0.4252[/C][C]0.33583[/C][/ROW]
[ROW][C]21[/C][C]-0.002513[/C][C]-0.0248[/C][C]0.490151[/C][/ROW]
[ROW][C]22[/C][C]0.011451[/C][C]0.1128[/C][C]0.455219[/C][/ROW]
[ROW][C]23[/C][C]-0.085391[/C][C]-0.841[/C][C]0.201206[/C][/ROW]
[ROW][C]24[/C][C]0.092818[/C][C]0.9142[/C][C]0.181452[/C][/ROW]
[ROW][C]25[/C][C]-0.197679[/C][C]-1.9469[/C][C]0.027219[/C][/ROW]
[ROW][C]26[/C][C]0.044313[/C][C]0.4364[/C][C]0.331747[/C][/ROW]
[ROW][C]27[/C][C]0.002442[/C][C]0.024[/C][C]0.490432[/C][/ROW]
[ROW][C]28[/C][C]-0.040178[/C][C]-0.3957[/C][C]0.346595[/C][/ROW]
[ROW][C]29[/C][C]-0.086878[/C][C]-0.8556[/C][C]0.197151[/C][/ROW]
[ROW][C]30[/C][C]0.043629[/C][C]0.4297[/C][C]0.334184[/C][/ROW]
[ROW][C]31[/C][C]0.123128[/C][C]1.2127[/C][C]0.1141[/C][/ROW]
[ROW][C]32[/C][C]-0.113955[/C][C]-1.1223[/C][C]0.132248[/C][/ROW]
[ROW][C]33[/C][C]-0.053562[/C][C]-0.5275[/C][C]0.299516[/C][/ROW]
[ROW][C]34[/C][C]-0.040396[/C][C]-0.3979[/C][C]0.345806[/C][/ROW]
[ROW][C]35[/C][C]0.046913[/C][C]0.462[/C][C]0.322544[/C][/ROW]
[ROW][C]36[/C][C]0.047317[/C][C]0.466[/C][C]0.321124[/C][/ROW]
[ROW][C]37[/C][C]-0.101748[/C][C]-1.0021[/C][C]0.159394[/C][/ROW]
[ROW][C]38[/C][C]0.023905[/C][C]0.2354[/C][C]0.407182[/C][/ROW]
[ROW][C]39[/C][C]-0.068275[/C][C]-0.6724[/C][C]0.251454[/C][/ROW]
[ROW][C]40[/C][C]-0.001767[/C][C]-0.0174[/C][C]0.493076[/C][/ROW]
[ROW][C]41[/C][C]-0.15835[/C][C]-1.5596[/C][C]0.06106[/C][/ROW]
[ROW][C]42[/C][C]-0.087102[/C][C]-0.8579[/C][C]0.196543[/C][/ROW]
[ROW][C]43[/C][C]-0.036766[/C][C]-0.3621[/C][C]0.35903[/C][/ROW]
[ROW][C]44[/C][C]0.005285[/C][C]0.052[/C][C]0.479299[/C][/ROW]
[ROW][C]45[/C][C]0.073732[/C][C]0.7262[/C][C]0.23474[/C][/ROW]
[ROW][C]46[/C][C]0.011984[/C][C]0.118[/C][C]0.453146[/C][/ROW]
[ROW][C]47[/C][C]0.107931[/C][C]1.063[/C][C]0.145211[/C][/ROW]
[ROW][C]48[/C][C]-0.01122[/C][C]-0.1105[/C][C]0.45612[/C][/ROW]
[ROW][C]49[/C][C]-0.128859[/C][C]-1.2691[/C][C]0.103719[/C][/ROW]
[ROW][C]50[/C][C]-0.094268[/C][C]-0.9284[/C][C]0.177744[/C][/ROW]
[ROW][C]51[/C][C]-0.006007[/C][C]-0.0592[/C][C]0.476474[/C][/ROW]
[ROW][C]52[/C][C]-0.054205[/C][C]-0.5339[/C][C]0.297329[/C][/ROW]
[ROW][C]53[/C][C]0.020477[/C][C]0.2017[/C][C]0.420296[/C][/ROW]
[ROW][C]54[/C][C]-0.03194[/C][C]-0.3146[/C][C]0.376882[/C][/ROW]
[ROW][C]55[/C][C]-0.00298[/C][C]-0.0293[/C][C]0.488324[/C][/ROW]
[ROW][C]56[/C][C]0.014333[/C][C]0.1412[/C][C]0.444017[/C][/ROW]
[ROW][C]57[/C][C]-0.01684[/C][C]-0.1659[/C][C]0.43431[/C][/ROW]
[ROW][C]58[/C][C]-0.03047[/C][C]-0.3001[/C][C]0.382373[/C][/ROW]
[ROW][C]59[/C][C]-0.028345[/C][C]-0.2792[/C][C]0.390355[/C][/ROW]
[ROW][C]60[/C][C]0.005794[/C][C]0.0571[/C][C]0.477304[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32143&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32143&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
10.9258399.11850
2-0.408796-4.02625.6e-05
30.1183371.16550.12334
40.2558452.51980.006688
50.1389961.36890.087089
6-0.175419-1.72770.043614
7-0.138758-1.36660.087454
80.2022591.9920.02459
90.1729231.70310.045876
10-0.096408-0.94950.172361
11-0.054518-0.53690.296268
12-0.048367-0.47640.317443
13-0.330442-3.25450.000782
140.2294592.25990.013032
15-0.0996-0.98090.164529
16-0.064575-0.6360.26314
17-0.080904-0.79680.213754
180.0877750.86450.194728
19-0.017481-0.17220.431831
20-0.043169-0.42520.33583
21-0.002513-0.02480.490151
220.0114510.11280.455219
23-0.085391-0.8410.201206
240.0928180.91420.181452
25-0.197679-1.94690.027219
260.0443130.43640.331747
270.0024420.0240.490432
28-0.040178-0.39570.346595
29-0.086878-0.85560.197151
300.0436290.42970.334184
310.1231281.21270.1141
32-0.113955-1.12230.132248
33-0.053562-0.52750.299516
34-0.040396-0.39790.345806
350.0469130.4620.322544
360.0473170.4660.321124
37-0.101748-1.00210.159394
380.0239050.23540.407182
39-0.068275-0.67240.251454
40-0.001767-0.01740.493076
41-0.15835-1.55960.06106
42-0.087102-0.85790.196543
43-0.036766-0.36210.35903
440.0052850.0520.479299
450.0737320.72620.23474
460.0119840.1180.453146
470.1079311.0630.145211
48-0.01122-0.11050.45612
49-0.128859-1.26910.103719
50-0.094268-0.92840.177744
51-0.006007-0.05920.476474
52-0.054205-0.53390.297329
530.0204770.20170.420296
54-0.03194-0.31460.376882
55-0.00298-0.02930.488324
560.0143330.14120.444017
57-0.01684-0.16590.43431
58-0.03047-0.30010.382373
59-0.028345-0.27920.390355
600.0057940.05710.477304



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')