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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationWed, 05 Dec 2007 07:16:05 -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/05/t1196863429gebbrjx3qckfufj.htm/, Retrieved Thu, 02 May 2024 20:15:54 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=2474, Retrieved Thu, 02 May 2024 20:15:54 +0000
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Original text written by user:industriële productie workshop 5 vraag 1
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact244
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Partial Autocorre...] [2007-12-05 14:16:05] [0eafefa7b02d47065fceb6c46f54fbf9] [Current]
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Dataseries X:
103,9
104,5
106,3
108,6
110,0
110,4
109,8
108,8
108,9
109,7
110,4
111,5
112,7
113,8
113,9
113,4
113,8
114,1
113,5
113,9
116,1
118,4
120,5
122,0
121,4
120,5
120,8
110,4
109,3
108,9
110,0
112,3
114,5
114,8
113,3
112,2
112,8
113,8
114,2
114,7
115,2
115,0
114,9
114,4
113,8
114,5
116,0
116,7
116,4
116,0
115,9
115,4
115,2
115,8




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=2474&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=2474&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2474&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
017.21110
1-0.387784-2.79640.996387
20.0217520.15690.437982
30.01250.09010.464262
4-0.145086-1.04620.849852
5-0.106509-0.7680.777033
60.0010780.00780.496914
70.0124930.09010.464281
80.0706750.50960.306229
90.0694670.50090.309267
10-0.00291-0.0210.50833
11-0.011452-0.08260.532749
12-0.000111-8e-040.500317
13-0.04249-0.30640.619739
14-0.000718-0.00520.502056
15-0.033155-0.23910.594011
160.0022130.0160.493663
170.0905940.65330.258227
18-0.048979-0.35320.637314
19-0.064348-0.4640.677715
200.0728910.52560.300693
210.0383150.27630.391709
22-0.01129-0.08140.532286
23-0.019234-0.13870.554889
24-0.019646-0.14170.556057
25-0.027853-0.20080.5792
260.0104920.07570.469991
270.0181280.13070.44825
280.0160360.11560.454191
290.0117220.08450.466481
30-0.006597-0.04760.51888
31-0.032362-0.23340.591802
32-0.02131-0.15370.560768
330.0172880.12470.450634
340.0215540.15540.438543
35-0.00311-0.02240.508902
360.002160.01560.493817
370.0146750.10580.458064
38-0.003238-0.02330.509269
39-0.017208-0.12410.549137
40-0.012845-0.09260.536721
41-0.003685-0.02660.510548
420.0081640.05890.476641
430.0133430.09620.461858
440.0091460.0660.473835
45-0.002035-0.01470.505826
46-0.006934-0.050.519844
47-0.002875-0.02070.508232

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 7.2111 & 0 \tabularnewline
1 & -0.387784 & -2.7964 & 0.996387 \tabularnewline
2 & 0.021752 & 0.1569 & 0.437982 \tabularnewline
3 & 0.0125 & 0.0901 & 0.464262 \tabularnewline
4 & -0.145086 & -1.0462 & 0.849852 \tabularnewline
5 & -0.106509 & -0.768 & 0.777033 \tabularnewline
6 & 0.001078 & 0.0078 & 0.496914 \tabularnewline
7 & 0.012493 & 0.0901 & 0.464281 \tabularnewline
8 & 0.070675 & 0.5096 & 0.306229 \tabularnewline
9 & 0.069467 & 0.5009 & 0.309267 \tabularnewline
10 & -0.00291 & -0.021 & 0.50833 \tabularnewline
11 & -0.011452 & -0.0826 & 0.532749 \tabularnewline
12 & -0.000111 & -8e-04 & 0.500317 \tabularnewline
13 & -0.04249 & -0.3064 & 0.619739 \tabularnewline
14 & -0.000718 & -0.0052 & 0.502056 \tabularnewline
15 & -0.033155 & -0.2391 & 0.594011 \tabularnewline
16 & 0.002213 & 0.016 & 0.493663 \tabularnewline
17 & 0.090594 & 0.6533 & 0.258227 \tabularnewline
18 & -0.048979 & -0.3532 & 0.637314 \tabularnewline
19 & -0.064348 & -0.464 & 0.677715 \tabularnewline
20 & 0.072891 & 0.5256 & 0.300693 \tabularnewline
21 & 0.038315 & 0.2763 & 0.391709 \tabularnewline
22 & -0.01129 & -0.0814 & 0.532286 \tabularnewline
23 & -0.019234 & -0.1387 & 0.554889 \tabularnewline
24 & -0.019646 & -0.1417 & 0.556057 \tabularnewline
25 & -0.027853 & -0.2008 & 0.5792 \tabularnewline
26 & 0.010492 & 0.0757 & 0.469991 \tabularnewline
27 & 0.018128 & 0.1307 & 0.44825 \tabularnewline
28 & 0.016036 & 0.1156 & 0.454191 \tabularnewline
29 & 0.011722 & 0.0845 & 0.466481 \tabularnewline
30 & -0.006597 & -0.0476 & 0.51888 \tabularnewline
31 & -0.032362 & -0.2334 & 0.591802 \tabularnewline
32 & -0.02131 & -0.1537 & 0.560768 \tabularnewline
33 & 0.017288 & 0.1247 & 0.450634 \tabularnewline
34 & 0.021554 & 0.1554 & 0.438543 \tabularnewline
35 & -0.00311 & -0.0224 & 0.508902 \tabularnewline
36 & 0.00216 & 0.0156 & 0.493817 \tabularnewline
37 & 0.014675 & 0.1058 & 0.458064 \tabularnewline
38 & -0.003238 & -0.0233 & 0.509269 \tabularnewline
39 & -0.017208 & -0.1241 & 0.549137 \tabularnewline
40 & -0.012845 & -0.0926 & 0.536721 \tabularnewline
41 & -0.003685 & -0.0266 & 0.510548 \tabularnewline
42 & 0.008164 & 0.0589 & 0.476641 \tabularnewline
43 & 0.013343 & 0.0962 & 0.461858 \tabularnewline
44 & 0.009146 & 0.066 & 0.473835 \tabularnewline
45 & -0.002035 & -0.0147 & 0.505826 \tabularnewline
46 & -0.006934 & -0.05 & 0.519844 \tabularnewline
47 & -0.002875 & -0.0207 & 0.508232 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2474&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]7.2111[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]-0.387784[/C][C]-2.7964[/C][C]0.996387[/C][/ROW]
[ROW][C]2[/C][C]0.021752[/C][C]0.1569[/C][C]0.437982[/C][/ROW]
[ROW][C]3[/C][C]0.0125[/C][C]0.0901[/C][C]0.464262[/C][/ROW]
[ROW][C]4[/C][C]-0.145086[/C][C]-1.0462[/C][C]0.849852[/C][/ROW]
[ROW][C]5[/C][C]-0.106509[/C][C]-0.768[/C][C]0.777033[/C][/ROW]
[ROW][C]6[/C][C]0.001078[/C][C]0.0078[/C][C]0.496914[/C][/ROW]
[ROW][C]7[/C][C]0.012493[/C][C]0.0901[/C][C]0.464281[/C][/ROW]
[ROW][C]8[/C][C]0.070675[/C][C]0.5096[/C][C]0.306229[/C][/ROW]
[ROW][C]9[/C][C]0.069467[/C][C]0.5009[/C][C]0.309267[/C][/ROW]
[ROW][C]10[/C][C]-0.00291[/C][C]-0.021[/C][C]0.50833[/C][/ROW]
[ROW][C]11[/C][C]-0.011452[/C][C]-0.0826[/C][C]0.532749[/C][/ROW]
[ROW][C]12[/C][C]-0.000111[/C][C]-8e-04[/C][C]0.500317[/C][/ROW]
[ROW][C]13[/C][C]-0.04249[/C][C]-0.3064[/C][C]0.619739[/C][/ROW]
[ROW][C]14[/C][C]-0.000718[/C][C]-0.0052[/C][C]0.502056[/C][/ROW]
[ROW][C]15[/C][C]-0.033155[/C][C]-0.2391[/C][C]0.594011[/C][/ROW]
[ROW][C]16[/C][C]0.002213[/C][C]0.016[/C][C]0.493663[/C][/ROW]
[ROW][C]17[/C][C]0.090594[/C][C]0.6533[/C][C]0.258227[/C][/ROW]
[ROW][C]18[/C][C]-0.048979[/C][C]-0.3532[/C][C]0.637314[/C][/ROW]
[ROW][C]19[/C][C]-0.064348[/C][C]-0.464[/C][C]0.677715[/C][/ROW]
[ROW][C]20[/C][C]0.072891[/C][C]0.5256[/C][C]0.300693[/C][/ROW]
[ROW][C]21[/C][C]0.038315[/C][C]0.2763[/C][C]0.391709[/C][/ROW]
[ROW][C]22[/C][C]-0.01129[/C][C]-0.0814[/C][C]0.532286[/C][/ROW]
[ROW][C]23[/C][C]-0.019234[/C][C]-0.1387[/C][C]0.554889[/C][/ROW]
[ROW][C]24[/C][C]-0.019646[/C][C]-0.1417[/C][C]0.556057[/C][/ROW]
[ROW][C]25[/C][C]-0.027853[/C][C]-0.2008[/C][C]0.5792[/C][/ROW]
[ROW][C]26[/C][C]0.010492[/C][C]0.0757[/C][C]0.469991[/C][/ROW]
[ROW][C]27[/C][C]0.018128[/C][C]0.1307[/C][C]0.44825[/C][/ROW]
[ROW][C]28[/C][C]0.016036[/C][C]0.1156[/C][C]0.454191[/C][/ROW]
[ROW][C]29[/C][C]0.011722[/C][C]0.0845[/C][C]0.466481[/C][/ROW]
[ROW][C]30[/C][C]-0.006597[/C][C]-0.0476[/C][C]0.51888[/C][/ROW]
[ROW][C]31[/C][C]-0.032362[/C][C]-0.2334[/C][C]0.591802[/C][/ROW]
[ROW][C]32[/C][C]-0.02131[/C][C]-0.1537[/C][C]0.560768[/C][/ROW]
[ROW][C]33[/C][C]0.017288[/C][C]0.1247[/C][C]0.450634[/C][/ROW]
[ROW][C]34[/C][C]0.021554[/C][C]0.1554[/C][C]0.438543[/C][/ROW]
[ROW][C]35[/C][C]-0.00311[/C][C]-0.0224[/C][C]0.508902[/C][/ROW]
[ROW][C]36[/C][C]0.00216[/C][C]0.0156[/C][C]0.493817[/C][/ROW]
[ROW][C]37[/C][C]0.014675[/C][C]0.1058[/C][C]0.458064[/C][/ROW]
[ROW][C]38[/C][C]-0.003238[/C][C]-0.0233[/C][C]0.509269[/C][/ROW]
[ROW][C]39[/C][C]-0.017208[/C][C]-0.1241[/C][C]0.549137[/C][/ROW]
[ROW][C]40[/C][C]-0.012845[/C][C]-0.0926[/C][C]0.536721[/C][/ROW]
[ROW][C]41[/C][C]-0.003685[/C][C]-0.0266[/C][C]0.510548[/C][/ROW]
[ROW][C]42[/C][C]0.008164[/C][C]0.0589[/C][C]0.476641[/C][/ROW]
[ROW][C]43[/C][C]0.013343[/C][C]0.0962[/C][C]0.461858[/C][/ROW]
[ROW][C]44[/C][C]0.009146[/C][C]0.066[/C][C]0.473835[/C][/ROW]
[ROW][C]45[/C][C]-0.002035[/C][C]-0.0147[/C][C]0.505826[/C][/ROW]
[ROW][C]46[/C][C]-0.006934[/C][C]-0.05[/C][C]0.519844[/C][/ROW]
[ROW][C]47[/C][C]-0.002875[/C][C]-0.0207[/C][C]0.508232[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=2474&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2474&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
017.21110
1-0.387784-2.79640.996387
20.0217520.15690.437982
30.01250.09010.464262
4-0.145086-1.04620.849852
5-0.106509-0.7680.777033
60.0010780.00780.496914
70.0124930.09010.464281
80.0706750.50960.306229
90.0694670.50090.309267
10-0.00291-0.0210.50833
11-0.011452-0.08260.532749
12-0.000111-8e-040.500317
13-0.04249-0.30640.619739
14-0.000718-0.00520.502056
15-0.033155-0.23910.594011
160.0022130.0160.493663
170.0905940.65330.258227
18-0.048979-0.35320.637314
19-0.064348-0.4640.677715
200.0728910.52560.300693
210.0383150.27630.391709
22-0.01129-0.08140.532286
23-0.019234-0.13870.554889
24-0.019646-0.14170.556057
25-0.027853-0.20080.5792
260.0104920.07570.469991
270.0181280.13070.44825
280.0160360.11560.454191
290.0117220.08450.466481
30-0.006597-0.04760.51888
31-0.032362-0.23340.591802
32-0.02131-0.15370.560768
330.0172880.12470.450634
340.0215540.15540.438543
35-0.00311-0.02240.508902
360.002160.01560.493817
370.0146750.10580.458064
38-0.003238-0.02330.509269
39-0.017208-0.12410.549137
40-0.012845-0.09260.536721
41-0.003685-0.02660.510548
420.0081640.05890.476641
430.0133430.09620.461858
440.0091460.0660.473835
45-0.002035-0.01470.505826
46-0.006934-0.050.519844
47-0.002875-0.02070.508232







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
0-0.387784-2.79640.996387
1-0.15139-1.09170.859998
2-0.043961-0.3170.623747
3-0.184358-1.32940.905244
4-0.299375-2.15880.98225
5-0.268413-1.93560.970816
6-0.216022-1.55780.937321
7-0.135613-0.97790.833679
8-0.077902-0.56180.711653
9-0.109083-0.78660.782459
10-0.139464-1.00570.840389
11-0.100656-0.72580.764404
12-0.082853-0.59750.723604
13-0.047835-0.34490.634235
14-0.093856-0.67680.749235
15-0.123401-0.88990.811179
160.0002330.00170.499332
17-0.029285-0.21120.583214
18-0.1751-1.26270.893829
19-0.137545-0.99190.837069
20-0.003136-0.02260.508977
210.0550280.39680.346565
22-0.007696-0.05550.522023
23-0.070754-0.51020.693969
24-0.084497-0.60930.727516
25-0.019522-0.14080.555704
260.0568130.40970.341861
270.0682180.49190.31242
280.0237570.17130.432322
29-0.00371-0.02680.510621
30-0.014023-0.10110.540079
31-0.01516-0.10930.543315
320.0051210.03690.485342
330.0181940.13120.448062
340.0111260.08020.46818
35-0.002181-0.01570.506245
36-0.021454-0.15470.561174
37-0.032649-0.23540.592603
38-0.012639-0.09110.536133
390.008560.06170.47551
40-0.007452-0.05370.521323
41-0.040536-0.29230.614394
42-0.054075-0.38990.650914
43-0.037171-0.2680.605138
44-0.015568-0.11230.544477
45-0.015564-0.11220.544464
46-0.027292-0.19680.577626
47-0.034907-0.25170.598874

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & -0.387784 & -2.7964 & 0.996387 \tabularnewline
1 & -0.15139 & -1.0917 & 0.859998 \tabularnewline
2 & -0.043961 & -0.317 & 0.623747 \tabularnewline
3 & -0.184358 & -1.3294 & 0.905244 \tabularnewline
4 & -0.299375 & -2.1588 & 0.98225 \tabularnewline
5 & -0.268413 & -1.9356 & 0.970816 \tabularnewline
6 & -0.216022 & -1.5578 & 0.937321 \tabularnewline
7 & -0.135613 & -0.9779 & 0.833679 \tabularnewline
8 & -0.077902 & -0.5618 & 0.711653 \tabularnewline
9 & -0.109083 & -0.7866 & 0.782459 \tabularnewline
10 & -0.139464 & -1.0057 & 0.840389 \tabularnewline
11 & -0.100656 & -0.7258 & 0.764404 \tabularnewline
12 & -0.082853 & -0.5975 & 0.723604 \tabularnewline
13 & -0.047835 & -0.3449 & 0.634235 \tabularnewline
14 & -0.093856 & -0.6768 & 0.749235 \tabularnewline
15 & -0.123401 & -0.8899 & 0.811179 \tabularnewline
16 & 0.000233 & 0.0017 & 0.499332 \tabularnewline
17 & -0.029285 & -0.2112 & 0.583214 \tabularnewline
18 & -0.1751 & -1.2627 & 0.893829 \tabularnewline
19 & -0.137545 & -0.9919 & 0.837069 \tabularnewline
20 & -0.003136 & -0.0226 & 0.508977 \tabularnewline
21 & 0.055028 & 0.3968 & 0.346565 \tabularnewline
22 & -0.007696 & -0.0555 & 0.522023 \tabularnewline
23 & -0.070754 & -0.5102 & 0.693969 \tabularnewline
24 & -0.084497 & -0.6093 & 0.727516 \tabularnewline
25 & -0.019522 & -0.1408 & 0.555704 \tabularnewline
26 & 0.056813 & 0.4097 & 0.341861 \tabularnewline
27 & 0.068218 & 0.4919 & 0.31242 \tabularnewline
28 & 0.023757 & 0.1713 & 0.432322 \tabularnewline
29 & -0.00371 & -0.0268 & 0.510621 \tabularnewline
30 & -0.014023 & -0.1011 & 0.540079 \tabularnewline
31 & -0.01516 & -0.1093 & 0.543315 \tabularnewline
32 & 0.005121 & 0.0369 & 0.485342 \tabularnewline
33 & 0.018194 & 0.1312 & 0.448062 \tabularnewline
34 & 0.011126 & 0.0802 & 0.46818 \tabularnewline
35 & -0.002181 & -0.0157 & 0.506245 \tabularnewline
36 & -0.021454 & -0.1547 & 0.561174 \tabularnewline
37 & -0.032649 & -0.2354 & 0.592603 \tabularnewline
38 & -0.012639 & -0.0911 & 0.536133 \tabularnewline
39 & 0.00856 & 0.0617 & 0.47551 \tabularnewline
40 & -0.007452 & -0.0537 & 0.521323 \tabularnewline
41 & -0.040536 & -0.2923 & 0.614394 \tabularnewline
42 & -0.054075 & -0.3899 & 0.650914 \tabularnewline
43 & -0.037171 & -0.268 & 0.605138 \tabularnewline
44 & -0.015568 & -0.1123 & 0.544477 \tabularnewline
45 & -0.015564 & -0.1122 & 0.544464 \tabularnewline
46 & -0.027292 & -0.1968 & 0.577626 \tabularnewline
47 & -0.034907 & -0.2517 & 0.598874 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2474&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]-0.387784[/C][C]-2.7964[/C][C]0.996387[/C][/ROW]
[ROW][C]1[/C][C]-0.15139[/C][C]-1.0917[/C][C]0.859998[/C][/ROW]
[ROW][C]2[/C][C]-0.043961[/C][C]-0.317[/C][C]0.623747[/C][/ROW]
[ROW][C]3[/C][C]-0.184358[/C][C]-1.3294[/C][C]0.905244[/C][/ROW]
[ROW][C]4[/C][C]-0.299375[/C][C]-2.1588[/C][C]0.98225[/C][/ROW]
[ROW][C]5[/C][C]-0.268413[/C][C]-1.9356[/C][C]0.970816[/C][/ROW]
[ROW][C]6[/C][C]-0.216022[/C][C]-1.5578[/C][C]0.937321[/C][/ROW]
[ROW][C]7[/C][C]-0.135613[/C][C]-0.9779[/C][C]0.833679[/C][/ROW]
[ROW][C]8[/C][C]-0.077902[/C][C]-0.5618[/C][C]0.711653[/C][/ROW]
[ROW][C]9[/C][C]-0.109083[/C][C]-0.7866[/C][C]0.782459[/C][/ROW]
[ROW][C]10[/C][C]-0.139464[/C][C]-1.0057[/C][C]0.840389[/C][/ROW]
[ROW][C]11[/C][C]-0.100656[/C][C]-0.7258[/C][C]0.764404[/C][/ROW]
[ROW][C]12[/C][C]-0.082853[/C][C]-0.5975[/C][C]0.723604[/C][/ROW]
[ROW][C]13[/C][C]-0.047835[/C][C]-0.3449[/C][C]0.634235[/C][/ROW]
[ROW][C]14[/C][C]-0.093856[/C][C]-0.6768[/C][C]0.749235[/C][/ROW]
[ROW][C]15[/C][C]-0.123401[/C][C]-0.8899[/C][C]0.811179[/C][/ROW]
[ROW][C]16[/C][C]0.000233[/C][C]0.0017[/C][C]0.499332[/C][/ROW]
[ROW][C]17[/C][C]-0.029285[/C][C]-0.2112[/C][C]0.583214[/C][/ROW]
[ROW][C]18[/C][C]-0.1751[/C][C]-1.2627[/C][C]0.893829[/C][/ROW]
[ROW][C]19[/C][C]-0.137545[/C][C]-0.9919[/C][C]0.837069[/C][/ROW]
[ROW][C]20[/C][C]-0.003136[/C][C]-0.0226[/C][C]0.508977[/C][/ROW]
[ROW][C]21[/C][C]0.055028[/C][C]0.3968[/C][C]0.346565[/C][/ROW]
[ROW][C]22[/C][C]-0.007696[/C][C]-0.0555[/C][C]0.522023[/C][/ROW]
[ROW][C]23[/C][C]-0.070754[/C][C]-0.5102[/C][C]0.693969[/C][/ROW]
[ROW][C]24[/C][C]-0.084497[/C][C]-0.6093[/C][C]0.727516[/C][/ROW]
[ROW][C]25[/C][C]-0.019522[/C][C]-0.1408[/C][C]0.555704[/C][/ROW]
[ROW][C]26[/C][C]0.056813[/C][C]0.4097[/C][C]0.341861[/C][/ROW]
[ROW][C]27[/C][C]0.068218[/C][C]0.4919[/C][C]0.31242[/C][/ROW]
[ROW][C]28[/C][C]0.023757[/C][C]0.1713[/C][C]0.432322[/C][/ROW]
[ROW][C]29[/C][C]-0.00371[/C][C]-0.0268[/C][C]0.510621[/C][/ROW]
[ROW][C]30[/C][C]-0.014023[/C][C]-0.1011[/C][C]0.540079[/C][/ROW]
[ROW][C]31[/C][C]-0.01516[/C][C]-0.1093[/C][C]0.543315[/C][/ROW]
[ROW][C]32[/C][C]0.005121[/C][C]0.0369[/C][C]0.485342[/C][/ROW]
[ROW][C]33[/C][C]0.018194[/C][C]0.1312[/C][C]0.448062[/C][/ROW]
[ROW][C]34[/C][C]0.011126[/C][C]0.0802[/C][C]0.46818[/C][/ROW]
[ROW][C]35[/C][C]-0.002181[/C][C]-0.0157[/C][C]0.506245[/C][/ROW]
[ROW][C]36[/C][C]-0.021454[/C][C]-0.1547[/C][C]0.561174[/C][/ROW]
[ROW][C]37[/C][C]-0.032649[/C][C]-0.2354[/C][C]0.592603[/C][/ROW]
[ROW][C]38[/C][C]-0.012639[/C][C]-0.0911[/C][C]0.536133[/C][/ROW]
[ROW][C]39[/C][C]0.00856[/C][C]0.0617[/C][C]0.47551[/C][/ROW]
[ROW][C]40[/C][C]-0.007452[/C][C]-0.0537[/C][C]0.521323[/C][/ROW]
[ROW][C]41[/C][C]-0.040536[/C][C]-0.2923[/C][C]0.614394[/C][/ROW]
[ROW][C]42[/C][C]-0.054075[/C][C]-0.3899[/C][C]0.650914[/C][/ROW]
[ROW][C]43[/C][C]-0.037171[/C][C]-0.268[/C][C]0.605138[/C][/ROW]
[ROW][C]44[/C][C]-0.015568[/C][C]-0.1123[/C][C]0.544477[/C][/ROW]
[ROW][C]45[/C][C]-0.015564[/C][C]-0.1122[/C][C]0.544464[/C][/ROW]
[ROW][C]46[/C][C]-0.027292[/C][C]-0.1968[/C][C]0.577626[/C][/ROW]
[ROW][C]47[/C][C]-0.034907[/C][C]-0.2517[/C][C]0.598874[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=2474&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2474&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
0-0.387784-2.79640.996387
1-0.15139-1.09170.859998
2-0.043961-0.3170.623747
3-0.184358-1.32940.905244
4-0.299375-2.15880.98225
5-0.268413-1.93560.970816
6-0.216022-1.55780.937321
7-0.135613-0.97790.833679
8-0.077902-0.56180.711653
9-0.109083-0.78660.782459
10-0.139464-1.00570.840389
11-0.100656-0.72580.764404
12-0.082853-0.59750.723604
13-0.047835-0.34490.634235
14-0.093856-0.67680.749235
15-0.123401-0.88990.811179
160.0002330.00170.499332
17-0.029285-0.21120.583214
18-0.1751-1.26270.893829
19-0.137545-0.99190.837069
20-0.003136-0.02260.508977
210.0550280.39680.346565
22-0.007696-0.05550.522023
23-0.070754-0.51020.693969
24-0.084497-0.60930.727516
25-0.019522-0.14080.555704
260.0568130.40970.341861
270.0682180.49190.31242
280.0237570.17130.432322
29-0.00371-0.02680.510621
30-0.014023-0.10110.540079
31-0.01516-0.10930.543315
320.0051210.03690.485342
330.0181940.13120.448062
340.0111260.08020.46818
35-0.002181-0.01570.506245
36-0.021454-0.15470.561174
37-0.032649-0.23540.592603
38-0.012639-0.09110.536133
390.008560.06170.47551
40-0.007452-0.05370.521323
41-0.040536-0.29230.614394
42-0.054075-0.38990.650914
43-0.037171-0.2680.605138
44-0.015568-0.11230.544477
45-0.015564-0.11220.544464
46-0.027292-0.19680.577626
47-0.034907-0.25170.598874



Parameters (Session):
par1 = 48 ; par2 = 1.5 ; par3 = 2 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = 1.5 ; par3 = 2 ; 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 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')