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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationThu, 13 Dec 2007 03:14:20 -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/13/t1197539933cznqf4ub8rskppy.htm/, Retrieved Sun, 05 May 2024 09:47:57 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=3385, Retrieved Sun, 05 May 2024 09:47:57 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact188
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [paper tijdreeks 4...] [2007-12-13 10:14:20] [be66efe1fb01584897056fbc96e4e155] [Current]
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Dataseries X:
98.6
98.0
106.8
96.6
100.1
107.7
91.5
97.8
107.4
117.5
105.6
97.4
99.5
98.0
104.3
100.6
101.1
103.9
96.9
95.5
108.4
117.0
103.8
100.8
110.6
104.0
112.6
107.3
98.9
109.8
104.9
102.2
123.9
124.9
112.7
121.9
100.6
104.3
120.4
107.5
102.9
125.6
107.5
108.8
128.4
121.1
119.5
128.7
108.7
105.5
119.8
111.3
110.6
120.1
97.5
107.7
127.3
117.2
119.8
116.2




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

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3385&T=0

[TABLE]
[ROW][C]Summary of compuational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3385&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3385&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

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







Autocorrelation Function
Time lag kACF(k)T-STATP-value
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=3385&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=3385&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3385&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=3385&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=3385&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3385&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 = 1 ; par2 = 1 ; par3 = 1 ; par4 = 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')