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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationTue, 18 Dec 2007 00:50:22 -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/Dec/18/t1197963281tpq55zzan50iirj.htm/, Retrieved Sat, 04 May 2024 07:08:43 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=4453, Retrieved Sat, 04 May 2024 07:08:43 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact220
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [ACF - versie 2 -...] [2007-12-18 07:50:22] [921757a21ec3444367392306fe4aab7f] [Current]
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Dataseries X:
116.2
119.8
117.2
127.3
107.7
97.5
120.1
110.6
111.3
119.8
105.5
108.7
128.7
119.5
121.1
128.4
108.8
107.5
125.6
102.9
107.5
120.4
104.3
100.6
121.9
112.7
124.9
123.9
102.2
104.9
109.8
98.9
107.3
112.6
104
110.6
100.8
103.8
117
108.4
95.5
96.9
103.9
101.1
100.6
104.3
98
99.5
97.4
105.6
117.5
107.4
97.8
91.5
107.7
100.1
96.6
106.8
98
98.6




Summary of compuational 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 compuational 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=4453&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]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=4453&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4453&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 time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
016.92820
10.1734161.20150.117734
20.1136460.78740.217471
30.3376382.33920.011767
4-0.037148-0.25740.601002
50.12790.88610.189987
60.258461.79070.039827
7-0.112313-0.77810.779844
80.1964521.36110.089926
90.2231511.5460.064332
10-0.150604-1.04340.849008
110.0228310.15820.437491
12-0.16127-1.11730.865289
13-0.244235-1.69210.951446
140.1089320.75470.227057
15-0.094023-0.65140.741055
16-0.134039-0.92870.821142
170.2035741.41040.082435
18-0.209045-1.44830.922984
19-0.17308-1.19910.881819
20-0.038313-0.26540.604096
21-0.224526-1.55560.936809
22-0.127111-0.88060.808552
230.0284840.19730.422197
24-0.295514-2.04740.976942
25-0.127955-0.88650.810116
26-0.079941-0.55390.708874
27-0.222635-1.54250.935236
28-0.067416-0.46710.678718
29-0.12999-0.90060.81385
30-0.131311-0.90980.81625
31-0.000516-0.00360.50142
32-0.031866-0.22080.586899
33-0.041424-0.2870.612324
34-0.005687-0.03940.515632
35-0.041636-0.28850.612882
360.0407050.2820.389573
370.1085960.75240.227749
380.0496460.3440.366191
390.0360240.24960.401988
400.1016870.70450.24226
410.0298610.20690.418489
420.0782620.54220.295089
430.0402690.2790.390726
440.0114390.07920.468582
450.0512970.35540.361924
460.0243640.16880.433333
470.0149650.10370.458927

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 6.9282 & 0 \tabularnewline
1 & 0.173416 & 1.2015 & 0.117734 \tabularnewline
2 & 0.113646 & 0.7874 & 0.217471 \tabularnewline
3 & 0.337638 & 2.3392 & 0.011767 \tabularnewline
4 & -0.037148 & -0.2574 & 0.601002 \tabularnewline
5 & 0.1279 & 0.8861 & 0.189987 \tabularnewline
6 & 0.25846 & 1.7907 & 0.039827 \tabularnewline
7 & -0.112313 & -0.7781 & 0.779844 \tabularnewline
8 & 0.196452 & 1.3611 & 0.089926 \tabularnewline
9 & 0.223151 & 1.546 & 0.064332 \tabularnewline
10 & -0.150604 & -1.0434 & 0.849008 \tabularnewline
11 & 0.022831 & 0.1582 & 0.437491 \tabularnewline
12 & -0.16127 & -1.1173 & 0.865289 \tabularnewline
13 & -0.244235 & -1.6921 & 0.951446 \tabularnewline
14 & 0.108932 & 0.7547 & 0.227057 \tabularnewline
15 & -0.094023 & -0.6514 & 0.741055 \tabularnewline
16 & -0.134039 & -0.9287 & 0.821142 \tabularnewline
17 & 0.203574 & 1.4104 & 0.082435 \tabularnewline
18 & -0.209045 & -1.4483 & 0.922984 \tabularnewline
19 & -0.17308 & -1.1991 & 0.881819 \tabularnewline
20 & -0.038313 & -0.2654 & 0.604096 \tabularnewline
21 & -0.224526 & -1.5556 & 0.936809 \tabularnewline
22 & -0.127111 & -0.8806 & 0.808552 \tabularnewline
23 & 0.028484 & 0.1973 & 0.422197 \tabularnewline
24 & -0.295514 & -2.0474 & 0.976942 \tabularnewline
25 & -0.127955 & -0.8865 & 0.810116 \tabularnewline
26 & -0.079941 & -0.5539 & 0.708874 \tabularnewline
27 & -0.222635 & -1.5425 & 0.935236 \tabularnewline
28 & -0.067416 & -0.4671 & 0.678718 \tabularnewline
29 & -0.12999 & -0.9006 & 0.81385 \tabularnewline
30 & -0.131311 & -0.9098 & 0.81625 \tabularnewline
31 & -0.000516 & -0.0036 & 0.50142 \tabularnewline
32 & -0.031866 & -0.2208 & 0.586899 \tabularnewline
33 & -0.041424 & -0.287 & 0.612324 \tabularnewline
34 & -0.005687 & -0.0394 & 0.515632 \tabularnewline
35 & -0.041636 & -0.2885 & 0.612882 \tabularnewline
36 & 0.040705 & 0.282 & 0.389573 \tabularnewline
37 & 0.108596 & 0.7524 & 0.227749 \tabularnewline
38 & 0.049646 & 0.344 & 0.366191 \tabularnewline
39 & 0.036024 & 0.2496 & 0.401988 \tabularnewline
40 & 0.101687 & 0.7045 & 0.24226 \tabularnewline
41 & 0.029861 & 0.2069 & 0.418489 \tabularnewline
42 & 0.078262 & 0.5422 & 0.295089 \tabularnewline
43 & 0.040269 & 0.279 & 0.390726 \tabularnewline
44 & 0.011439 & 0.0792 & 0.468582 \tabularnewline
45 & 0.051297 & 0.3554 & 0.361924 \tabularnewline
46 & 0.024364 & 0.1688 & 0.433333 \tabularnewline
47 & 0.014965 & 0.1037 & 0.458927 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4453&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]6.9282[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.173416[/C][C]1.2015[/C][C]0.117734[/C][/ROW]
[ROW][C]2[/C][C]0.113646[/C][C]0.7874[/C][C]0.217471[/C][/ROW]
[ROW][C]3[/C][C]0.337638[/C][C]2.3392[/C][C]0.011767[/C][/ROW]
[ROW][C]4[/C][C]-0.037148[/C][C]-0.2574[/C][C]0.601002[/C][/ROW]
[ROW][C]5[/C][C]0.1279[/C][C]0.8861[/C][C]0.189987[/C][/ROW]
[ROW][C]6[/C][C]0.25846[/C][C]1.7907[/C][C]0.039827[/C][/ROW]
[ROW][C]7[/C][C]-0.112313[/C][C]-0.7781[/C][C]0.779844[/C][/ROW]
[ROW][C]8[/C][C]0.196452[/C][C]1.3611[/C][C]0.089926[/C][/ROW]
[ROW][C]9[/C][C]0.223151[/C][C]1.546[/C][C]0.064332[/C][/ROW]
[ROW][C]10[/C][C]-0.150604[/C][C]-1.0434[/C][C]0.849008[/C][/ROW]
[ROW][C]11[/C][C]0.022831[/C][C]0.1582[/C][C]0.437491[/C][/ROW]
[ROW][C]12[/C][C]-0.16127[/C][C]-1.1173[/C][C]0.865289[/C][/ROW]
[ROW][C]13[/C][C]-0.244235[/C][C]-1.6921[/C][C]0.951446[/C][/ROW]
[ROW][C]14[/C][C]0.108932[/C][C]0.7547[/C][C]0.227057[/C][/ROW]
[ROW][C]15[/C][C]-0.094023[/C][C]-0.6514[/C][C]0.741055[/C][/ROW]
[ROW][C]16[/C][C]-0.134039[/C][C]-0.9287[/C][C]0.821142[/C][/ROW]
[ROW][C]17[/C][C]0.203574[/C][C]1.4104[/C][C]0.082435[/C][/ROW]
[ROW][C]18[/C][C]-0.209045[/C][C]-1.4483[/C][C]0.922984[/C][/ROW]
[ROW][C]19[/C][C]-0.17308[/C][C]-1.1991[/C][C]0.881819[/C][/ROW]
[ROW][C]20[/C][C]-0.038313[/C][C]-0.2654[/C][C]0.604096[/C][/ROW]
[ROW][C]21[/C][C]-0.224526[/C][C]-1.5556[/C][C]0.936809[/C][/ROW]
[ROW][C]22[/C][C]-0.127111[/C][C]-0.8806[/C][C]0.808552[/C][/ROW]
[ROW][C]23[/C][C]0.028484[/C][C]0.1973[/C][C]0.422197[/C][/ROW]
[ROW][C]24[/C][C]-0.295514[/C][C]-2.0474[/C][C]0.976942[/C][/ROW]
[ROW][C]25[/C][C]-0.127955[/C][C]-0.8865[/C][C]0.810116[/C][/ROW]
[ROW][C]26[/C][C]-0.079941[/C][C]-0.5539[/C][C]0.708874[/C][/ROW]
[ROW][C]27[/C][C]-0.222635[/C][C]-1.5425[/C][C]0.935236[/C][/ROW]
[ROW][C]28[/C][C]-0.067416[/C][C]-0.4671[/C][C]0.678718[/C][/ROW]
[ROW][C]29[/C][C]-0.12999[/C][C]-0.9006[/C][C]0.81385[/C][/ROW]
[ROW][C]30[/C][C]-0.131311[/C][C]-0.9098[/C][C]0.81625[/C][/ROW]
[ROW][C]31[/C][C]-0.000516[/C][C]-0.0036[/C][C]0.50142[/C][/ROW]
[ROW][C]32[/C][C]-0.031866[/C][C]-0.2208[/C][C]0.586899[/C][/ROW]
[ROW][C]33[/C][C]-0.041424[/C][C]-0.287[/C][C]0.612324[/C][/ROW]
[ROW][C]34[/C][C]-0.005687[/C][C]-0.0394[/C][C]0.515632[/C][/ROW]
[ROW][C]35[/C][C]-0.041636[/C][C]-0.2885[/C][C]0.612882[/C][/ROW]
[ROW][C]36[/C][C]0.040705[/C][C]0.282[/C][C]0.389573[/C][/ROW]
[ROW][C]37[/C][C]0.108596[/C][C]0.7524[/C][C]0.227749[/C][/ROW]
[ROW][C]38[/C][C]0.049646[/C][C]0.344[/C][C]0.366191[/C][/ROW]
[ROW][C]39[/C][C]0.036024[/C][C]0.2496[/C][C]0.401988[/C][/ROW]
[ROW][C]40[/C][C]0.101687[/C][C]0.7045[/C][C]0.24226[/C][/ROW]
[ROW][C]41[/C][C]0.029861[/C][C]0.2069[/C][C]0.418489[/C][/ROW]
[ROW][C]42[/C][C]0.078262[/C][C]0.5422[/C][C]0.295089[/C][/ROW]
[ROW][C]43[/C][C]0.040269[/C][C]0.279[/C][C]0.390726[/C][/ROW]
[ROW][C]44[/C][C]0.011439[/C][C]0.0792[/C][C]0.468582[/C][/ROW]
[ROW][C]45[/C][C]0.051297[/C][C]0.3554[/C][C]0.361924[/C][/ROW]
[ROW][C]46[/C][C]0.024364[/C][C]0.1688[/C][C]0.433333[/C][/ROW]
[ROW][C]47[/C][C]0.014965[/C][C]0.1037[/C][C]0.458927[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4453&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4453&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
016.92820
10.1734161.20150.117734
20.1136460.78740.217471
30.3376382.33920.011767
4-0.037148-0.25740.601002
50.12790.88610.189987
60.258461.79070.039827
7-0.112313-0.77810.779844
80.1964521.36110.089926
90.2231511.5460.064332
10-0.150604-1.04340.849008
110.0228310.15820.437491
12-0.16127-1.11730.865289
13-0.244235-1.69210.951446
140.1089320.75470.227057
15-0.094023-0.65140.741055
16-0.134039-0.92870.821142
170.2035741.41040.082435
18-0.209045-1.44830.922984
19-0.17308-1.19910.881819
20-0.038313-0.26540.604096
21-0.224526-1.55560.936809
22-0.127111-0.88060.808552
230.0284840.19730.422197
24-0.295514-2.04740.976942
25-0.127955-0.88650.810116
26-0.079941-0.55390.708874
27-0.222635-1.54250.935236
28-0.067416-0.46710.678718
29-0.12999-0.90060.81385
30-0.131311-0.90980.81625
31-0.000516-0.00360.50142
32-0.031866-0.22080.586899
33-0.041424-0.2870.612324
34-0.005687-0.03940.515632
35-0.041636-0.28850.612882
360.0407050.2820.389573
370.1085960.75240.227749
380.0496460.3440.366191
390.0360240.24960.401988
400.1016870.70450.24226
410.0298610.20690.418489
420.0782620.54220.295089
430.0402690.2790.390726
440.0114390.07920.468582
450.0512970.35540.361924
460.0243640.16880.433333
470.0149650.10370.458927







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.1734161.20150.117734
10.0861640.5970.276669
20.3164832.19270.016606
3-0.162095-1.1230.866494
40.1307310.90570.184802
50.1430350.9910.163333
6-0.155552-1.07770.856723
70.1807691.25240.108245
80.0896760.62130.268674
9-0.158151-1.09570.860662
10-0.117073-0.81110.789345
11-0.251947-1.74550.956355
12-0.05884-0.40770.657331
130.1041070.72130.23712
14-0.011241-0.07790.530876
150.0126490.08760.465267
160.1736651.20320.117403
17-0.189911-1.31570.902745
18-0.087649-0.60730.726727
19-0.09821-0.68040.750245
200.0964390.66820.253619
21-0.128811-0.89240.811692
22-0.030605-0.2120.583513
23-0.22009-1.52480.933067
24-0.154984-1.07380.85585
25-0.08181-0.56680.713253
260.1152190.79830.214326
270.0624630.43280.333566
280.0167730.11620.453987
290.0279970.1940.423509
30-0.166985-1.15690.873483
310.0375480.26010.397935
320.1095590.7590.225768
33-0.077248-0.53520.702505
340.0541710.37530.354543
35-0.072001-0.49880.689913
36-0.020041-0.13880.554925
37-0.05053-0.35010.636097
380.0169160.11720.453596
390.0660310.45750.324696
400.0605260.41930.338421
41-0.004491-0.03110.512347
42-0.110121-0.76290.775385
43-0.138577-0.96010.82909
44-0.001297-0.0090.503567
45-0.073492-0.50920.693515
46-0.000109-8e-040.500301
47NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.173416 & 1.2015 & 0.117734 \tabularnewline
1 & 0.086164 & 0.597 & 0.276669 \tabularnewline
2 & 0.316483 & 2.1927 & 0.016606 \tabularnewline
3 & -0.162095 & -1.123 & 0.866494 \tabularnewline
4 & 0.130731 & 0.9057 & 0.184802 \tabularnewline
5 & 0.143035 & 0.991 & 0.163333 \tabularnewline
6 & -0.155552 & -1.0777 & 0.856723 \tabularnewline
7 & 0.180769 & 1.2524 & 0.108245 \tabularnewline
8 & 0.089676 & 0.6213 & 0.268674 \tabularnewline
9 & -0.158151 & -1.0957 & 0.860662 \tabularnewline
10 & -0.117073 & -0.8111 & 0.789345 \tabularnewline
11 & -0.251947 & -1.7455 & 0.956355 \tabularnewline
12 & -0.05884 & -0.4077 & 0.657331 \tabularnewline
13 & 0.104107 & 0.7213 & 0.23712 \tabularnewline
14 & -0.011241 & -0.0779 & 0.530876 \tabularnewline
15 & 0.012649 & 0.0876 & 0.465267 \tabularnewline
16 & 0.173665 & 1.2032 & 0.117403 \tabularnewline
17 & -0.189911 & -1.3157 & 0.902745 \tabularnewline
18 & -0.087649 & -0.6073 & 0.726727 \tabularnewline
19 & -0.09821 & -0.6804 & 0.750245 \tabularnewline
20 & 0.096439 & 0.6682 & 0.253619 \tabularnewline
21 & -0.128811 & -0.8924 & 0.811692 \tabularnewline
22 & -0.030605 & -0.212 & 0.583513 \tabularnewline
23 & -0.22009 & -1.5248 & 0.933067 \tabularnewline
24 & -0.154984 & -1.0738 & 0.85585 \tabularnewline
25 & -0.08181 & -0.5668 & 0.713253 \tabularnewline
26 & 0.115219 & 0.7983 & 0.214326 \tabularnewline
27 & 0.062463 & 0.4328 & 0.333566 \tabularnewline
28 & 0.016773 & 0.1162 & 0.453987 \tabularnewline
29 & 0.027997 & 0.194 & 0.423509 \tabularnewline
30 & -0.166985 & -1.1569 & 0.873483 \tabularnewline
31 & 0.037548 & 0.2601 & 0.397935 \tabularnewline
32 & 0.109559 & 0.759 & 0.225768 \tabularnewline
33 & -0.077248 & -0.5352 & 0.702505 \tabularnewline
34 & 0.054171 & 0.3753 & 0.354543 \tabularnewline
35 & -0.072001 & -0.4988 & 0.689913 \tabularnewline
36 & -0.020041 & -0.1388 & 0.554925 \tabularnewline
37 & -0.05053 & -0.3501 & 0.636097 \tabularnewline
38 & 0.016916 & 0.1172 & 0.453596 \tabularnewline
39 & 0.066031 & 0.4575 & 0.324696 \tabularnewline
40 & 0.060526 & 0.4193 & 0.338421 \tabularnewline
41 & -0.004491 & -0.0311 & 0.512347 \tabularnewline
42 & -0.110121 & -0.7629 & 0.775385 \tabularnewline
43 & -0.138577 & -0.9601 & 0.82909 \tabularnewline
44 & -0.001297 & -0.009 & 0.503567 \tabularnewline
45 & -0.073492 & -0.5092 & 0.693515 \tabularnewline
46 & -0.000109 & -8e-04 & 0.500301 \tabularnewline
47 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4453&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]0.173416[/C][C]1.2015[/C][C]0.117734[/C][/ROW]
[ROW][C]1[/C][C]0.086164[/C][C]0.597[/C][C]0.276669[/C][/ROW]
[ROW][C]2[/C][C]0.316483[/C][C]2.1927[/C][C]0.016606[/C][/ROW]
[ROW][C]3[/C][C]-0.162095[/C][C]-1.123[/C][C]0.866494[/C][/ROW]
[ROW][C]4[/C][C]0.130731[/C][C]0.9057[/C][C]0.184802[/C][/ROW]
[ROW][C]5[/C][C]0.143035[/C][C]0.991[/C][C]0.163333[/C][/ROW]
[ROW][C]6[/C][C]-0.155552[/C][C]-1.0777[/C][C]0.856723[/C][/ROW]
[ROW][C]7[/C][C]0.180769[/C][C]1.2524[/C][C]0.108245[/C][/ROW]
[ROW][C]8[/C][C]0.089676[/C][C]0.6213[/C][C]0.268674[/C][/ROW]
[ROW][C]9[/C][C]-0.158151[/C][C]-1.0957[/C][C]0.860662[/C][/ROW]
[ROW][C]10[/C][C]-0.117073[/C][C]-0.8111[/C][C]0.789345[/C][/ROW]
[ROW][C]11[/C][C]-0.251947[/C][C]-1.7455[/C][C]0.956355[/C][/ROW]
[ROW][C]12[/C][C]-0.05884[/C][C]-0.4077[/C][C]0.657331[/C][/ROW]
[ROW][C]13[/C][C]0.104107[/C][C]0.7213[/C][C]0.23712[/C][/ROW]
[ROW][C]14[/C][C]-0.011241[/C][C]-0.0779[/C][C]0.530876[/C][/ROW]
[ROW][C]15[/C][C]0.012649[/C][C]0.0876[/C][C]0.465267[/C][/ROW]
[ROW][C]16[/C][C]0.173665[/C][C]1.2032[/C][C]0.117403[/C][/ROW]
[ROW][C]17[/C][C]-0.189911[/C][C]-1.3157[/C][C]0.902745[/C][/ROW]
[ROW][C]18[/C][C]-0.087649[/C][C]-0.6073[/C][C]0.726727[/C][/ROW]
[ROW][C]19[/C][C]-0.09821[/C][C]-0.6804[/C][C]0.750245[/C][/ROW]
[ROW][C]20[/C][C]0.096439[/C][C]0.6682[/C][C]0.253619[/C][/ROW]
[ROW][C]21[/C][C]-0.128811[/C][C]-0.8924[/C][C]0.811692[/C][/ROW]
[ROW][C]22[/C][C]-0.030605[/C][C]-0.212[/C][C]0.583513[/C][/ROW]
[ROW][C]23[/C][C]-0.22009[/C][C]-1.5248[/C][C]0.933067[/C][/ROW]
[ROW][C]24[/C][C]-0.154984[/C][C]-1.0738[/C][C]0.85585[/C][/ROW]
[ROW][C]25[/C][C]-0.08181[/C][C]-0.5668[/C][C]0.713253[/C][/ROW]
[ROW][C]26[/C][C]0.115219[/C][C]0.7983[/C][C]0.214326[/C][/ROW]
[ROW][C]27[/C][C]0.062463[/C][C]0.4328[/C][C]0.333566[/C][/ROW]
[ROW][C]28[/C][C]0.016773[/C][C]0.1162[/C][C]0.453987[/C][/ROW]
[ROW][C]29[/C][C]0.027997[/C][C]0.194[/C][C]0.423509[/C][/ROW]
[ROW][C]30[/C][C]-0.166985[/C][C]-1.1569[/C][C]0.873483[/C][/ROW]
[ROW][C]31[/C][C]0.037548[/C][C]0.2601[/C][C]0.397935[/C][/ROW]
[ROW][C]32[/C][C]0.109559[/C][C]0.759[/C][C]0.225768[/C][/ROW]
[ROW][C]33[/C][C]-0.077248[/C][C]-0.5352[/C][C]0.702505[/C][/ROW]
[ROW][C]34[/C][C]0.054171[/C][C]0.3753[/C][C]0.354543[/C][/ROW]
[ROW][C]35[/C][C]-0.072001[/C][C]-0.4988[/C][C]0.689913[/C][/ROW]
[ROW][C]36[/C][C]-0.020041[/C][C]-0.1388[/C][C]0.554925[/C][/ROW]
[ROW][C]37[/C][C]-0.05053[/C][C]-0.3501[/C][C]0.636097[/C][/ROW]
[ROW][C]38[/C][C]0.016916[/C][C]0.1172[/C][C]0.453596[/C][/ROW]
[ROW][C]39[/C][C]0.066031[/C][C]0.4575[/C][C]0.324696[/C][/ROW]
[ROW][C]40[/C][C]0.060526[/C][C]0.4193[/C][C]0.338421[/C][/ROW]
[ROW][C]41[/C][C]-0.004491[/C][C]-0.0311[/C][C]0.512347[/C][/ROW]
[ROW][C]42[/C][C]-0.110121[/C][C]-0.7629[/C][C]0.775385[/C][/ROW]
[ROW][C]43[/C][C]-0.138577[/C][C]-0.9601[/C][C]0.82909[/C][/ROW]
[ROW][C]44[/C][C]-0.001297[/C][C]-0.009[/C][C]0.503567[/C][/ROW]
[ROW][C]45[/C][C]-0.073492[/C][C]-0.5092[/C][C]0.693515[/C][/ROW]
[ROW][C]46[/C][C]-0.000109[/C][C]-8e-04[/C][C]0.500301[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4453&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4453&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
00.1734161.20150.117734
10.0861640.5970.276669
20.3164832.19270.016606
3-0.162095-1.1230.866494
40.1307310.90570.184802
50.1430350.9910.163333
6-0.155552-1.07770.856723
70.1807691.25240.108245
80.0896760.62130.268674
9-0.158151-1.09570.860662
10-0.117073-0.81110.789345
11-0.251947-1.74550.956355
12-0.05884-0.40770.657331
130.1041070.72130.23712
14-0.011241-0.07790.530876
150.0126490.08760.465267
160.1736651.20320.117403
17-0.189911-1.31570.902745
18-0.087649-0.60730.726727
19-0.09821-0.68040.750245
200.0964390.66820.253619
21-0.128811-0.89240.811692
22-0.030605-0.2120.583513
23-0.22009-1.52480.933067
24-0.154984-1.07380.85585
25-0.08181-0.56680.713253
260.1152190.79830.214326
270.0624630.43280.333566
280.0167730.11620.453987
290.0279970.1940.423509
30-0.166985-1.15690.873483
310.0375480.26010.397935
320.1095590.7590.225768
33-0.077248-0.53520.702505
340.0541710.37530.354543
35-0.072001-0.49880.689913
36-0.020041-0.13880.554925
37-0.05053-0.35010.636097
380.0169160.11720.453596
390.0660310.45750.324696
400.0605260.41930.338421
41-0.004491-0.03110.512347
42-0.110121-0.76290.775385
43-0.138577-0.96010.82909
44-0.001297-0.0090.503567
45-0.073492-0.50920.693515
46-0.000109-8e-040.500301
47NANANA



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 1 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 1 ; 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')