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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, 23 Nov 2011 13:51:01 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Nov/23/t1322074381l91gnvy1cxubibg.htm/, Retrieved Thu, 28 Mar 2024 13:38:36 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=146570, Retrieved Thu, 28 Mar 2024 13:38:36 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP2W12
Estimated Impact89
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [autocorolatie NSD...] [2011-11-23 18:51:01] [3a5148fa0f21767f499340b81dfb0928] [Current]
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Dataseries X:
101.16
101.16
101.16
101.16
101.16
101.16
101.16
101.16
101.16
101.21
101.21
101.21
103.16
103.16
103.16
103.16
101.13
101.13
100.53
100.53
100.53
100.53
100.53
100.53
100.53
100.53
100.53
99.42
99.42
99.42
99.42
100.31
100.31
102.25
102.25
102.25
101.81
101.81
101.81
101.81
101.81
101.81
101.81
101.81
101.81
101.81
101.81
101.81
101.81
101.81
101.81
101.81
101.81
101.81
101.81
101.94
101.94
101.94
101.94
101.94




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ yule.wessa.net

\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 & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=146570&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=146570&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=146570&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 time2 seconds
R Server'George Udny Yule' @ yule.wessa.net







Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.000735-0.00560.497758
20.2055461.57880.059861
3-0.05373-0.41270.340658
4-0.347306-2.66770.004922
5-0.028098-0.21580.414934
6-0.233506-1.79360.039001
7-0.007799-0.05990.476218
8-7e-04-0.00540.497864
90.0781070.60.275417
10-0.000678-0.00520.497931
110.1571711.20730.116076
120.0011030.00850.496633
13-0.03632-0.2790.390619
140.0010790.00830.496708
15-0.358695-2.75520.003895
16-0.000826-0.00630.49748
17-0.27674-2.12570.018863
180.0132010.10140.459788
190.116160.89220.187944
200.0611450.46970.320162
210.2635872.02460.023719
220.0193310.14850.441233
23-0.001467-0.01130.495523
24-0.047095-0.36170.359417
25-0.001899-0.01460.494205
26-0.001911-0.01470.494168
27-0.002696-0.02070.491774
28-0.011277-0.08660.465635
29-0.000355-0.00270.498916
30-0.000367-0.00280.498879
310.0004450.00340.498643
320.0004320.00330.49868
330.0011890.00910.496372
340.0011770.0090.496409
350.0011640.00890.496447
360.0007450.00570.497728
37-0.004732-0.03630.485564
380.000720.00550.497802
39-0.01778-0.13660.445917
400.0006960.00530.497877
410.0006830.00530.497914
420.0001169e-040.499647
430.0178630.13720.445667
44-0.001789-0.01370.494541
45-0.001801-0.01380.494504
46-0.001358-0.01040.495856
47-0.001826-0.0140.494429
48-3.2e-05-2e-040.499902

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.000735 & -0.0056 & 0.497758 \tabularnewline
2 & 0.205546 & 1.5788 & 0.059861 \tabularnewline
3 & -0.05373 & -0.4127 & 0.340658 \tabularnewline
4 & -0.347306 & -2.6677 & 0.004922 \tabularnewline
5 & -0.028098 & -0.2158 & 0.414934 \tabularnewline
6 & -0.233506 & -1.7936 & 0.039001 \tabularnewline
7 & -0.007799 & -0.0599 & 0.476218 \tabularnewline
8 & -7e-04 & -0.0054 & 0.497864 \tabularnewline
9 & 0.078107 & 0.6 & 0.275417 \tabularnewline
10 & -0.000678 & -0.0052 & 0.497931 \tabularnewline
11 & 0.157171 & 1.2073 & 0.116076 \tabularnewline
12 & 0.001103 & 0.0085 & 0.496633 \tabularnewline
13 & -0.03632 & -0.279 & 0.390619 \tabularnewline
14 & 0.001079 & 0.0083 & 0.496708 \tabularnewline
15 & -0.358695 & -2.7552 & 0.003895 \tabularnewline
16 & -0.000826 & -0.0063 & 0.49748 \tabularnewline
17 & -0.27674 & -2.1257 & 0.018863 \tabularnewline
18 & 0.013201 & 0.1014 & 0.459788 \tabularnewline
19 & 0.11616 & 0.8922 & 0.187944 \tabularnewline
20 & 0.061145 & 0.4697 & 0.320162 \tabularnewline
21 & 0.263587 & 2.0246 & 0.023719 \tabularnewline
22 & 0.019331 & 0.1485 & 0.441233 \tabularnewline
23 & -0.001467 & -0.0113 & 0.495523 \tabularnewline
24 & -0.047095 & -0.3617 & 0.359417 \tabularnewline
25 & -0.001899 & -0.0146 & 0.494205 \tabularnewline
26 & -0.001911 & -0.0147 & 0.494168 \tabularnewline
27 & -0.002696 & -0.0207 & 0.491774 \tabularnewline
28 & -0.011277 & -0.0866 & 0.465635 \tabularnewline
29 & -0.000355 & -0.0027 & 0.498916 \tabularnewline
30 & -0.000367 & -0.0028 & 0.498879 \tabularnewline
31 & 0.000445 & 0.0034 & 0.498643 \tabularnewline
32 & 0.000432 & 0.0033 & 0.49868 \tabularnewline
33 & 0.001189 & 0.0091 & 0.496372 \tabularnewline
34 & 0.001177 & 0.009 & 0.496409 \tabularnewline
35 & 0.001164 & 0.0089 & 0.496447 \tabularnewline
36 & 0.000745 & 0.0057 & 0.497728 \tabularnewline
37 & -0.004732 & -0.0363 & 0.485564 \tabularnewline
38 & 0.00072 & 0.0055 & 0.497802 \tabularnewline
39 & -0.01778 & -0.1366 & 0.445917 \tabularnewline
40 & 0.000696 & 0.0053 & 0.497877 \tabularnewline
41 & 0.000683 & 0.0053 & 0.497914 \tabularnewline
42 & 0.000116 & 9e-04 & 0.499647 \tabularnewline
43 & 0.017863 & 0.1372 & 0.445667 \tabularnewline
44 & -0.001789 & -0.0137 & 0.494541 \tabularnewline
45 & -0.001801 & -0.0138 & 0.494504 \tabularnewline
46 & -0.001358 & -0.0104 & 0.495856 \tabularnewline
47 & -0.001826 & -0.014 & 0.494429 \tabularnewline
48 & -3.2e-05 & -2e-04 & 0.499902 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=146570&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]-0.000735[/C][C]-0.0056[/C][C]0.497758[/C][/ROW]
[ROW][C]2[/C][C]0.205546[/C][C]1.5788[/C][C]0.059861[/C][/ROW]
[ROW][C]3[/C][C]-0.05373[/C][C]-0.4127[/C][C]0.340658[/C][/ROW]
[ROW][C]4[/C][C]-0.347306[/C][C]-2.6677[/C][C]0.004922[/C][/ROW]
[ROW][C]5[/C][C]-0.028098[/C][C]-0.2158[/C][C]0.414934[/C][/ROW]
[ROW][C]6[/C][C]-0.233506[/C][C]-1.7936[/C][C]0.039001[/C][/ROW]
[ROW][C]7[/C][C]-0.007799[/C][C]-0.0599[/C][C]0.476218[/C][/ROW]
[ROW][C]8[/C][C]-7e-04[/C][C]-0.0054[/C][C]0.497864[/C][/ROW]
[ROW][C]9[/C][C]0.078107[/C][C]0.6[/C][C]0.275417[/C][/ROW]
[ROW][C]10[/C][C]-0.000678[/C][C]-0.0052[/C][C]0.497931[/C][/ROW]
[ROW][C]11[/C][C]0.157171[/C][C]1.2073[/C][C]0.116076[/C][/ROW]
[ROW][C]12[/C][C]0.001103[/C][C]0.0085[/C][C]0.496633[/C][/ROW]
[ROW][C]13[/C][C]-0.03632[/C][C]-0.279[/C][C]0.390619[/C][/ROW]
[ROW][C]14[/C][C]0.001079[/C][C]0.0083[/C][C]0.496708[/C][/ROW]
[ROW][C]15[/C][C]-0.358695[/C][C]-2.7552[/C][C]0.003895[/C][/ROW]
[ROW][C]16[/C][C]-0.000826[/C][C]-0.0063[/C][C]0.49748[/C][/ROW]
[ROW][C]17[/C][C]-0.27674[/C][C]-2.1257[/C][C]0.018863[/C][/ROW]
[ROW][C]18[/C][C]0.013201[/C][C]0.1014[/C][C]0.459788[/C][/ROW]
[ROW][C]19[/C][C]0.11616[/C][C]0.8922[/C][C]0.187944[/C][/ROW]
[ROW][C]20[/C][C]0.061145[/C][C]0.4697[/C][C]0.320162[/C][/ROW]
[ROW][C]21[/C][C]0.263587[/C][C]2.0246[/C][C]0.023719[/C][/ROW]
[ROW][C]22[/C][C]0.019331[/C][C]0.1485[/C][C]0.441233[/C][/ROW]
[ROW][C]23[/C][C]-0.001467[/C][C]-0.0113[/C][C]0.495523[/C][/ROW]
[ROW][C]24[/C][C]-0.047095[/C][C]-0.3617[/C][C]0.359417[/C][/ROW]
[ROW][C]25[/C][C]-0.001899[/C][C]-0.0146[/C][C]0.494205[/C][/ROW]
[ROW][C]26[/C][C]-0.001911[/C][C]-0.0147[/C][C]0.494168[/C][/ROW]
[ROW][C]27[/C][C]-0.002696[/C][C]-0.0207[/C][C]0.491774[/C][/ROW]
[ROW][C]28[/C][C]-0.011277[/C][C]-0.0866[/C][C]0.465635[/C][/ROW]
[ROW][C]29[/C][C]-0.000355[/C][C]-0.0027[/C][C]0.498916[/C][/ROW]
[ROW][C]30[/C][C]-0.000367[/C][C]-0.0028[/C][C]0.498879[/C][/ROW]
[ROW][C]31[/C][C]0.000445[/C][C]0.0034[/C][C]0.498643[/C][/ROW]
[ROW][C]32[/C][C]0.000432[/C][C]0.0033[/C][C]0.49868[/C][/ROW]
[ROW][C]33[/C][C]0.001189[/C][C]0.0091[/C][C]0.496372[/C][/ROW]
[ROW][C]34[/C][C]0.001177[/C][C]0.009[/C][C]0.496409[/C][/ROW]
[ROW][C]35[/C][C]0.001164[/C][C]0.0089[/C][C]0.496447[/C][/ROW]
[ROW][C]36[/C][C]0.000745[/C][C]0.0057[/C][C]0.497728[/C][/ROW]
[ROW][C]37[/C][C]-0.004732[/C][C]-0.0363[/C][C]0.485564[/C][/ROW]
[ROW][C]38[/C][C]0.00072[/C][C]0.0055[/C][C]0.497802[/C][/ROW]
[ROW][C]39[/C][C]-0.01778[/C][C]-0.1366[/C][C]0.445917[/C][/ROW]
[ROW][C]40[/C][C]0.000696[/C][C]0.0053[/C][C]0.497877[/C][/ROW]
[ROW][C]41[/C][C]0.000683[/C][C]0.0053[/C][C]0.497914[/C][/ROW]
[ROW][C]42[/C][C]0.000116[/C][C]9e-04[/C][C]0.499647[/C][/ROW]
[ROW][C]43[/C][C]0.017863[/C][C]0.1372[/C][C]0.445667[/C][/ROW]
[ROW][C]44[/C][C]-0.001789[/C][C]-0.0137[/C][C]0.494541[/C][/ROW]
[ROW][C]45[/C][C]-0.001801[/C][C]-0.0138[/C][C]0.494504[/C][/ROW]
[ROW][C]46[/C][C]-0.001358[/C][C]-0.0104[/C][C]0.495856[/C][/ROW]
[ROW][C]47[/C][C]-0.001826[/C][C]-0.014[/C][C]0.494429[/C][/ROW]
[ROW][C]48[/C][C]-3.2e-05[/C][C]-2e-04[/C][C]0.499902[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=146570&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=146570&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
1-0.000735-0.00560.497758
20.2055461.57880.059861
3-0.05373-0.41270.340658
4-0.347306-2.66770.004922
5-0.028098-0.21580.414934
6-0.233506-1.79360.039001
7-0.007799-0.05990.476218
8-7e-04-0.00540.497864
90.0781070.60.275417
10-0.000678-0.00520.497931
110.1571711.20730.116076
120.0011030.00850.496633
13-0.03632-0.2790.390619
140.0010790.00830.496708
15-0.358695-2.75520.003895
16-0.000826-0.00630.49748
17-0.27674-2.12570.018863
180.0132010.10140.459788
190.116160.89220.187944
200.0611450.46970.320162
210.2635872.02460.023719
220.0193310.14850.441233
23-0.001467-0.01130.495523
24-0.047095-0.36170.359417
25-0.001899-0.01460.494205
26-0.001911-0.01470.494168
27-0.002696-0.02070.491774
28-0.011277-0.08660.465635
29-0.000355-0.00270.498916
30-0.000367-0.00280.498879
310.0004450.00340.498643
320.0004320.00330.49868
330.0011890.00910.496372
340.0011770.0090.496409
350.0011640.00890.496447
360.0007450.00570.497728
37-0.004732-0.03630.485564
380.000720.00550.497802
39-0.01778-0.13660.445917
400.0006960.00530.497877
410.0006830.00530.497914
420.0001169e-040.499647
430.0178630.13720.445667
44-0.001789-0.01370.494541
45-0.001801-0.01380.494504
46-0.001358-0.01040.495856
47-0.001826-0.0140.494429
48-3.2e-05-2e-040.499902







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.000735-0.00560.497758
20.2055451.57880.059862
3-0.055817-0.42870.334837
4-0.407434-3.12960.00136
5-0.008052-0.06180.475447
6-0.065929-0.50640.307229
7-0.052117-0.40030.345183
8-0.080658-0.61950.26897
90.0756790.58130.281626
10-0.126936-0.9750.166767
110.1218540.9360.176551
12-0.003053-0.02340.490686
13-0.088758-0.68180.249028
14-0.046724-0.35890.360478
15-0.281733-2.1640.017261
16-0.044781-0.3440.366048
17-0.199652-1.53360.065242
18-0.058833-0.45190.326498
19-0.042564-0.32690.372435
20-0.00262-0.02010.492005
210.002210.0170.493257
22-0.042169-0.32390.373576
23-0.154042-1.18320.120734
24-0.026825-0.2060.418731
250.0904550.69480.244956
260.0860960.66130.255492
27-0.096125-0.73840.231614
28-0.053468-0.41070.341391
290.0328990.25270.400688
30-0.132434-1.01720.156595
31-0.021768-0.16720.43389
32-0.183228-1.40740.082278
33-0.051416-0.39490.347158
34-0.056933-0.43730.331741
350.0193110.14830.441295
360.0118570.09110.46387
37-0.030791-0.23650.406929
38-0.024513-0.18830.425649
39-0.026035-0.20.421093
40-0.017786-0.13660.445901
410.0125110.09610.461885
42-0.012599-0.09680.461617
430.0198830.15270.439569
440.019060.14640.442051
45-0.095392-0.73270.233316
46-0.056546-0.43430.332813
47-0.13455-1.03350.152795
480.0164330.12620.449993

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.000735 & -0.0056 & 0.497758 \tabularnewline
2 & 0.205545 & 1.5788 & 0.059862 \tabularnewline
3 & -0.055817 & -0.4287 & 0.334837 \tabularnewline
4 & -0.407434 & -3.1296 & 0.00136 \tabularnewline
5 & -0.008052 & -0.0618 & 0.475447 \tabularnewline
6 & -0.065929 & -0.5064 & 0.307229 \tabularnewline
7 & -0.052117 & -0.4003 & 0.345183 \tabularnewline
8 & -0.080658 & -0.6195 & 0.26897 \tabularnewline
9 & 0.075679 & 0.5813 & 0.281626 \tabularnewline
10 & -0.126936 & -0.975 & 0.166767 \tabularnewline
11 & 0.121854 & 0.936 & 0.176551 \tabularnewline
12 & -0.003053 & -0.0234 & 0.490686 \tabularnewline
13 & -0.088758 & -0.6818 & 0.249028 \tabularnewline
14 & -0.046724 & -0.3589 & 0.360478 \tabularnewline
15 & -0.281733 & -2.164 & 0.017261 \tabularnewline
16 & -0.044781 & -0.344 & 0.366048 \tabularnewline
17 & -0.199652 & -1.5336 & 0.065242 \tabularnewline
18 & -0.058833 & -0.4519 & 0.326498 \tabularnewline
19 & -0.042564 & -0.3269 & 0.372435 \tabularnewline
20 & -0.00262 & -0.0201 & 0.492005 \tabularnewline
21 & 0.00221 & 0.017 & 0.493257 \tabularnewline
22 & -0.042169 & -0.3239 & 0.373576 \tabularnewline
23 & -0.154042 & -1.1832 & 0.120734 \tabularnewline
24 & -0.026825 & -0.206 & 0.418731 \tabularnewline
25 & 0.090455 & 0.6948 & 0.244956 \tabularnewline
26 & 0.086096 & 0.6613 & 0.255492 \tabularnewline
27 & -0.096125 & -0.7384 & 0.231614 \tabularnewline
28 & -0.053468 & -0.4107 & 0.341391 \tabularnewline
29 & 0.032899 & 0.2527 & 0.400688 \tabularnewline
30 & -0.132434 & -1.0172 & 0.156595 \tabularnewline
31 & -0.021768 & -0.1672 & 0.43389 \tabularnewline
32 & -0.183228 & -1.4074 & 0.082278 \tabularnewline
33 & -0.051416 & -0.3949 & 0.347158 \tabularnewline
34 & -0.056933 & -0.4373 & 0.331741 \tabularnewline
35 & 0.019311 & 0.1483 & 0.441295 \tabularnewline
36 & 0.011857 & 0.0911 & 0.46387 \tabularnewline
37 & -0.030791 & -0.2365 & 0.406929 \tabularnewline
38 & -0.024513 & -0.1883 & 0.425649 \tabularnewline
39 & -0.026035 & -0.2 & 0.421093 \tabularnewline
40 & -0.017786 & -0.1366 & 0.445901 \tabularnewline
41 & 0.012511 & 0.0961 & 0.461885 \tabularnewline
42 & -0.012599 & -0.0968 & 0.461617 \tabularnewline
43 & 0.019883 & 0.1527 & 0.439569 \tabularnewline
44 & 0.01906 & 0.1464 & 0.442051 \tabularnewline
45 & -0.095392 & -0.7327 & 0.233316 \tabularnewline
46 & -0.056546 & -0.4343 & 0.332813 \tabularnewline
47 & -0.13455 & -1.0335 & 0.152795 \tabularnewline
48 & 0.016433 & 0.1262 & 0.449993 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=146570&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]-0.000735[/C][C]-0.0056[/C][C]0.497758[/C][/ROW]
[ROW][C]2[/C][C]0.205545[/C][C]1.5788[/C][C]0.059862[/C][/ROW]
[ROW][C]3[/C][C]-0.055817[/C][C]-0.4287[/C][C]0.334837[/C][/ROW]
[ROW][C]4[/C][C]-0.407434[/C][C]-3.1296[/C][C]0.00136[/C][/ROW]
[ROW][C]5[/C][C]-0.008052[/C][C]-0.0618[/C][C]0.475447[/C][/ROW]
[ROW][C]6[/C][C]-0.065929[/C][C]-0.5064[/C][C]0.307229[/C][/ROW]
[ROW][C]7[/C][C]-0.052117[/C][C]-0.4003[/C][C]0.345183[/C][/ROW]
[ROW][C]8[/C][C]-0.080658[/C][C]-0.6195[/C][C]0.26897[/C][/ROW]
[ROW][C]9[/C][C]0.075679[/C][C]0.5813[/C][C]0.281626[/C][/ROW]
[ROW][C]10[/C][C]-0.126936[/C][C]-0.975[/C][C]0.166767[/C][/ROW]
[ROW][C]11[/C][C]0.121854[/C][C]0.936[/C][C]0.176551[/C][/ROW]
[ROW][C]12[/C][C]-0.003053[/C][C]-0.0234[/C][C]0.490686[/C][/ROW]
[ROW][C]13[/C][C]-0.088758[/C][C]-0.6818[/C][C]0.249028[/C][/ROW]
[ROW][C]14[/C][C]-0.046724[/C][C]-0.3589[/C][C]0.360478[/C][/ROW]
[ROW][C]15[/C][C]-0.281733[/C][C]-2.164[/C][C]0.017261[/C][/ROW]
[ROW][C]16[/C][C]-0.044781[/C][C]-0.344[/C][C]0.366048[/C][/ROW]
[ROW][C]17[/C][C]-0.199652[/C][C]-1.5336[/C][C]0.065242[/C][/ROW]
[ROW][C]18[/C][C]-0.058833[/C][C]-0.4519[/C][C]0.326498[/C][/ROW]
[ROW][C]19[/C][C]-0.042564[/C][C]-0.3269[/C][C]0.372435[/C][/ROW]
[ROW][C]20[/C][C]-0.00262[/C][C]-0.0201[/C][C]0.492005[/C][/ROW]
[ROW][C]21[/C][C]0.00221[/C][C]0.017[/C][C]0.493257[/C][/ROW]
[ROW][C]22[/C][C]-0.042169[/C][C]-0.3239[/C][C]0.373576[/C][/ROW]
[ROW][C]23[/C][C]-0.154042[/C][C]-1.1832[/C][C]0.120734[/C][/ROW]
[ROW][C]24[/C][C]-0.026825[/C][C]-0.206[/C][C]0.418731[/C][/ROW]
[ROW][C]25[/C][C]0.090455[/C][C]0.6948[/C][C]0.244956[/C][/ROW]
[ROW][C]26[/C][C]0.086096[/C][C]0.6613[/C][C]0.255492[/C][/ROW]
[ROW][C]27[/C][C]-0.096125[/C][C]-0.7384[/C][C]0.231614[/C][/ROW]
[ROW][C]28[/C][C]-0.053468[/C][C]-0.4107[/C][C]0.341391[/C][/ROW]
[ROW][C]29[/C][C]0.032899[/C][C]0.2527[/C][C]0.400688[/C][/ROW]
[ROW][C]30[/C][C]-0.132434[/C][C]-1.0172[/C][C]0.156595[/C][/ROW]
[ROW][C]31[/C][C]-0.021768[/C][C]-0.1672[/C][C]0.43389[/C][/ROW]
[ROW][C]32[/C][C]-0.183228[/C][C]-1.4074[/C][C]0.082278[/C][/ROW]
[ROW][C]33[/C][C]-0.051416[/C][C]-0.3949[/C][C]0.347158[/C][/ROW]
[ROW][C]34[/C][C]-0.056933[/C][C]-0.4373[/C][C]0.331741[/C][/ROW]
[ROW][C]35[/C][C]0.019311[/C][C]0.1483[/C][C]0.441295[/C][/ROW]
[ROW][C]36[/C][C]0.011857[/C][C]0.0911[/C][C]0.46387[/C][/ROW]
[ROW][C]37[/C][C]-0.030791[/C][C]-0.2365[/C][C]0.406929[/C][/ROW]
[ROW][C]38[/C][C]-0.024513[/C][C]-0.1883[/C][C]0.425649[/C][/ROW]
[ROW][C]39[/C][C]-0.026035[/C][C]-0.2[/C][C]0.421093[/C][/ROW]
[ROW][C]40[/C][C]-0.017786[/C][C]-0.1366[/C][C]0.445901[/C][/ROW]
[ROW][C]41[/C][C]0.012511[/C][C]0.0961[/C][C]0.461885[/C][/ROW]
[ROW][C]42[/C][C]-0.012599[/C][C]-0.0968[/C][C]0.461617[/C][/ROW]
[ROW][C]43[/C][C]0.019883[/C][C]0.1527[/C][C]0.439569[/C][/ROW]
[ROW][C]44[/C][C]0.01906[/C][C]0.1464[/C][C]0.442051[/C][/ROW]
[ROW][C]45[/C][C]-0.095392[/C][C]-0.7327[/C][C]0.233316[/C][/ROW]
[ROW][C]46[/C][C]-0.056546[/C][C]-0.4343[/C][C]0.332813[/C][/ROW]
[ROW][C]47[/C][C]-0.13455[/C][C]-1.0335[/C][C]0.152795[/C][/ROW]
[ROW][C]48[/C][C]0.016433[/C][C]0.1262[/C][C]0.449993[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=146570&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=146570&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
1-0.000735-0.00560.497758
20.2055451.57880.059862
3-0.055817-0.42870.334837
4-0.407434-3.12960.00136
5-0.008052-0.06180.475447
6-0.065929-0.50640.307229
7-0.052117-0.40030.345183
8-0.080658-0.61950.26897
90.0756790.58130.281626
10-0.126936-0.9750.166767
110.1218540.9360.176551
12-0.003053-0.02340.490686
13-0.088758-0.68180.249028
14-0.046724-0.35890.360478
15-0.281733-2.1640.017261
16-0.044781-0.3440.366048
17-0.199652-1.53360.065242
18-0.058833-0.45190.326498
19-0.042564-0.32690.372435
20-0.00262-0.02010.492005
210.002210.0170.493257
22-0.042169-0.32390.373576
23-0.154042-1.18320.120734
24-0.026825-0.2060.418731
250.0904550.69480.244956
260.0860960.66130.255492
27-0.096125-0.73840.231614
28-0.053468-0.41070.341391
290.0328990.25270.400688
30-0.132434-1.01720.156595
31-0.021768-0.16720.43389
32-0.183228-1.40740.082278
33-0.051416-0.39490.347158
34-0.056933-0.43730.331741
350.0193110.14830.441295
360.0118570.09110.46387
37-0.030791-0.23650.406929
38-0.024513-0.18830.425649
39-0.026035-0.20.421093
40-0.017786-0.13660.445901
410.0125110.09610.461885
42-0.012599-0.09680.461617
430.0198830.15270.439569
440.019060.14640.442051
45-0.095392-0.73270.233316
46-0.056546-0.43430.332813
47-0.13455-1.03350.152795
480.0164330.12620.449993



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ; par8 = ;
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 (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
par7 <- as.numeric(par7)
if (par8 != '') par8 <- as.numeric(par8)
ox <- x
if (par8 == '') {
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
} else {
x <- log(x,base=par8)
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='picts.png')
op <- par(mfrow=c(2,1))
plot(ox,type='l',main='Original Time Series',xlab='time',ylab='value')
if (par8=='') {
mytitle <- paste('Working Time Series (lambda=',par2,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
} else {
mytitle <- paste('Working Time Series (base=',par8,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(base=',par8,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
}
plot(x,type='l', main=mytitle,xlab='time',ylab='value')
par(op)
dev.off()
bitmap(file='pic1.png')
racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=mysub)
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF',sub=mysub)
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')