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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 15:26:34 -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/t1322080187s6he258f0whp784.htm/, Retrieved Fri, 29 Mar 2024 06:12:16 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=146579, Retrieved Fri, 29 Mar 2024 06:12:16 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP2W12
Estimated Impact92
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [] [2011-11-23 20:26:34] [f7653f7e39425878158499028a118a95] [Current]
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Dataseries X:
5.82
5.85
5.87
5.88
5.9
5.91
5.94
5.97
5.98
6
6.01
6.02
6.11
6.13
6.15
6.15
6.16
6.18
6.21
6.22
6.23
6.26
6.28
6.28
6.29
6.32
6.36
6.37
6.38
6.38
6.4
6.41
6.42
6.43
6.44
6.47
6.47
6.48
6.51
6.54
6.56
6.57
6.6
6.62
6.65
6.71
6.76
6.78
6.8
6.83
6.86
6.86
6.87
6.88
6.9
6.92
6.93
6.94
6.96
6.98
6.99
7.01
7.06
7.07
7.08
7.08
7.1
7.11
7.22
7.24
7.25
7.26




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Herman Ole Andreas Wold' @ wold.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 & 1 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=146579&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=146579&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=146579&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'Herman Ole Andreas Wold' @ wold.wessa.net







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.0428680.36120.359508
2-0.112467-0.94770.173257
3-0.172952-1.45730.074719
40.0092160.07770.469159
50.0434610.36620.357649
60.1341181.13010.131118
7-0.034151-0.28780.387185
8-0.060265-0.50780.306582
9-0.043145-0.36350.358639
10-0.051528-0.43420.332736
11-0.150815-1.27080.103976
12-0.046616-0.39280.347824
130.043920.37010.356215
140.0611620.51540.303952
15-0.133219-1.12250.132711
16-0.077417-0.65230.258149
17-0.103289-0.87030.193528
180.0089260.07520.47013
190.0259250.21840.413854
200.0256780.21640.41466
21-0.056363-0.47490.31815
220.0170490.14370.443089
230.1764451.48680.070753
240.0599130.50480.307619
25-0.082245-0.6930.245283
26-0.004036-0.0340.486483
27-0.012298-0.10360.45888
280.0394350.33230.370325
290.0133210.11220.455474
30-0.01243-0.10470.458441
31-0.051478-0.43380.332887
32-0.025735-0.21680.414475
330.1682741.41790.080296
340.0346180.29170.385686
35-0.086105-0.72550.235256
360.0255020.21490.415236
370.0341220.28750.387278
380.0513640.43280.333236
39-0.164209-1.38370.0854
40-0.052238-0.44020.330578
41-0.026616-0.22430.411596
420.0812870.68490.247807
430.0508610.42860.33477
44-0.03537-0.2980.383273
45-0.09968-0.83990.201886
46-0.008537-0.07190.471427
470.0260720.21970.413373
48-0.021478-0.1810.42845

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.042868 & 0.3612 & 0.359508 \tabularnewline
2 & -0.112467 & -0.9477 & 0.173257 \tabularnewline
3 & -0.172952 & -1.4573 & 0.074719 \tabularnewline
4 & 0.009216 & 0.0777 & 0.469159 \tabularnewline
5 & 0.043461 & 0.3662 & 0.357649 \tabularnewline
6 & 0.134118 & 1.1301 & 0.131118 \tabularnewline
7 & -0.034151 & -0.2878 & 0.387185 \tabularnewline
8 & -0.060265 & -0.5078 & 0.306582 \tabularnewline
9 & -0.043145 & -0.3635 & 0.358639 \tabularnewline
10 & -0.051528 & -0.4342 & 0.332736 \tabularnewline
11 & -0.150815 & -1.2708 & 0.103976 \tabularnewline
12 & -0.046616 & -0.3928 & 0.347824 \tabularnewline
13 & 0.04392 & 0.3701 & 0.356215 \tabularnewline
14 & 0.061162 & 0.5154 & 0.303952 \tabularnewline
15 & -0.133219 & -1.1225 & 0.132711 \tabularnewline
16 & -0.077417 & -0.6523 & 0.258149 \tabularnewline
17 & -0.103289 & -0.8703 & 0.193528 \tabularnewline
18 & 0.008926 & 0.0752 & 0.47013 \tabularnewline
19 & 0.025925 & 0.2184 & 0.413854 \tabularnewline
20 & 0.025678 & 0.2164 & 0.41466 \tabularnewline
21 & -0.056363 & -0.4749 & 0.31815 \tabularnewline
22 & 0.017049 & 0.1437 & 0.443089 \tabularnewline
23 & 0.176445 & 1.4868 & 0.070753 \tabularnewline
24 & 0.059913 & 0.5048 & 0.307619 \tabularnewline
25 & -0.082245 & -0.693 & 0.245283 \tabularnewline
26 & -0.004036 & -0.034 & 0.486483 \tabularnewline
27 & -0.012298 & -0.1036 & 0.45888 \tabularnewline
28 & 0.039435 & 0.3323 & 0.370325 \tabularnewline
29 & 0.013321 & 0.1122 & 0.455474 \tabularnewline
30 & -0.01243 & -0.1047 & 0.458441 \tabularnewline
31 & -0.051478 & -0.4338 & 0.332887 \tabularnewline
32 & -0.025735 & -0.2168 & 0.414475 \tabularnewline
33 & 0.168274 & 1.4179 & 0.080296 \tabularnewline
34 & 0.034618 & 0.2917 & 0.385686 \tabularnewline
35 & -0.086105 & -0.7255 & 0.235256 \tabularnewline
36 & 0.025502 & 0.2149 & 0.415236 \tabularnewline
37 & 0.034122 & 0.2875 & 0.387278 \tabularnewline
38 & 0.051364 & 0.4328 & 0.333236 \tabularnewline
39 & -0.164209 & -1.3837 & 0.0854 \tabularnewline
40 & -0.052238 & -0.4402 & 0.330578 \tabularnewline
41 & -0.026616 & -0.2243 & 0.411596 \tabularnewline
42 & 0.081287 & 0.6849 & 0.247807 \tabularnewline
43 & 0.050861 & 0.4286 & 0.33477 \tabularnewline
44 & -0.03537 & -0.298 & 0.383273 \tabularnewline
45 & -0.09968 & -0.8399 & 0.201886 \tabularnewline
46 & -0.008537 & -0.0719 & 0.471427 \tabularnewline
47 & 0.026072 & 0.2197 & 0.413373 \tabularnewline
48 & -0.021478 & -0.181 & 0.42845 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=146579&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]0.042868[/C][C]0.3612[/C][C]0.359508[/C][/ROW]
[ROW][C]2[/C][C]-0.112467[/C][C]-0.9477[/C][C]0.173257[/C][/ROW]
[ROW][C]3[/C][C]-0.172952[/C][C]-1.4573[/C][C]0.074719[/C][/ROW]
[ROW][C]4[/C][C]0.009216[/C][C]0.0777[/C][C]0.469159[/C][/ROW]
[ROW][C]5[/C][C]0.043461[/C][C]0.3662[/C][C]0.357649[/C][/ROW]
[ROW][C]6[/C][C]0.134118[/C][C]1.1301[/C][C]0.131118[/C][/ROW]
[ROW][C]7[/C][C]-0.034151[/C][C]-0.2878[/C][C]0.387185[/C][/ROW]
[ROW][C]8[/C][C]-0.060265[/C][C]-0.5078[/C][C]0.306582[/C][/ROW]
[ROW][C]9[/C][C]-0.043145[/C][C]-0.3635[/C][C]0.358639[/C][/ROW]
[ROW][C]10[/C][C]-0.051528[/C][C]-0.4342[/C][C]0.332736[/C][/ROW]
[ROW][C]11[/C][C]-0.150815[/C][C]-1.2708[/C][C]0.103976[/C][/ROW]
[ROW][C]12[/C][C]-0.046616[/C][C]-0.3928[/C][C]0.347824[/C][/ROW]
[ROW][C]13[/C][C]0.04392[/C][C]0.3701[/C][C]0.356215[/C][/ROW]
[ROW][C]14[/C][C]0.061162[/C][C]0.5154[/C][C]0.303952[/C][/ROW]
[ROW][C]15[/C][C]-0.133219[/C][C]-1.1225[/C][C]0.132711[/C][/ROW]
[ROW][C]16[/C][C]-0.077417[/C][C]-0.6523[/C][C]0.258149[/C][/ROW]
[ROW][C]17[/C][C]-0.103289[/C][C]-0.8703[/C][C]0.193528[/C][/ROW]
[ROW][C]18[/C][C]0.008926[/C][C]0.0752[/C][C]0.47013[/C][/ROW]
[ROW][C]19[/C][C]0.025925[/C][C]0.2184[/C][C]0.413854[/C][/ROW]
[ROW][C]20[/C][C]0.025678[/C][C]0.2164[/C][C]0.41466[/C][/ROW]
[ROW][C]21[/C][C]-0.056363[/C][C]-0.4749[/C][C]0.31815[/C][/ROW]
[ROW][C]22[/C][C]0.017049[/C][C]0.1437[/C][C]0.443089[/C][/ROW]
[ROW][C]23[/C][C]0.176445[/C][C]1.4868[/C][C]0.070753[/C][/ROW]
[ROW][C]24[/C][C]0.059913[/C][C]0.5048[/C][C]0.307619[/C][/ROW]
[ROW][C]25[/C][C]-0.082245[/C][C]-0.693[/C][C]0.245283[/C][/ROW]
[ROW][C]26[/C][C]-0.004036[/C][C]-0.034[/C][C]0.486483[/C][/ROW]
[ROW][C]27[/C][C]-0.012298[/C][C]-0.1036[/C][C]0.45888[/C][/ROW]
[ROW][C]28[/C][C]0.039435[/C][C]0.3323[/C][C]0.370325[/C][/ROW]
[ROW][C]29[/C][C]0.013321[/C][C]0.1122[/C][C]0.455474[/C][/ROW]
[ROW][C]30[/C][C]-0.01243[/C][C]-0.1047[/C][C]0.458441[/C][/ROW]
[ROW][C]31[/C][C]-0.051478[/C][C]-0.4338[/C][C]0.332887[/C][/ROW]
[ROW][C]32[/C][C]-0.025735[/C][C]-0.2168[/C][C]0.414475[/C][/ROW]
[ROW][C]33[/C][C]0.168274[/C][C]1.4179[/C][C]0.080296[/C][/ROW]
[ROW][C]34[/C][C]0.034618[/C][C]0.2917[/C][C]0.385686[/C][/ROW]
[ROW][C]35[/C][C]-0.086105[/C][C]-0.7255[/C][C]0.235256[/C][/ROW]
[ROW][C]36[/C][C]0.025502[/C][C]0.2149[/C][C]0.415236[/C][/ROW]
[ROW][C]37[/C][C]0.034122[/C][C]0.2875[/C][C]0.387278[/C][/ROW]
[ROW][C]38[/C][C]0.051364[/C][C]0.4328[/C][C]0.333236[/C][/ROW]
[ROW][C]39[/C][C]-0.164209[/C][C]-1.3837[/C][C]0.0854[/C][/ROW]
[ROW][C]40[/C][C]-0.052238[/C][C]-0.4402[/C][C]0.330578[/C][/ROW]
[ROW][C]41[/C][C]-0.026616[/C][C]-0.2243[/C][C]0.411596[/C][/ROW]
[ROW][C]42[/C][C]0.081287[/C][C]0.6849[/C][C]0.247807[/C][/ROW]
[ROW][C]43[/C][C]0.050861[/C][C]0.4286[/C][C]0.33477[/C][/ROW]
[ROW][C]44[/C][C]-0.03537[/C][C]-0.298[/C][C]0.383273[/C][/ROW]
[ROW][C]45[/C][C]-0.09968[/C][C]-0.8399[/C][C]0.201886[/C][/ROW]
[ROW][C]46[/C][C]-0.008537[/C][C]-0.0719[/C][C]0.471427[/C][/ROW]
[ROW][C]47[/C][C]0.026072[/C][C]0.2197[/C][C]0.413373[/C][/ROW]
[ROW][C]48[/C][C]-0.021478[/C][C]-0.181[/C][C]0.42845[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=146579&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=146579&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
10.0428680.36120.359508
2-0.112467-0.94770.173257
3-0.172952-1.45730.074719
40.0092160.07770.469159
50.0434610.36620.357649
60.1341181.13010.131118
7-0.034151-0.28780.387185
8-0.060265-0.50780.306582
9-0.043145-0.36350.358639
10-0.051528-0.43420.332736
11-0.150815-1.27080.103976
12-0.046616-0.39280.347824
130.043920.37010.356215
140.0611620.51540.303952
15-0.133219-1.12250.132711
16-0.077417-0.65230.258149
17-0.103289-0.87030.193528
180.0089260.07520.47013
190.0259250.21840.413854
200.0256780.21640.41466
21-0.056363-0.47490.31815
220.0170490.14370.443089
230.1764451.48680.070753
240.0599130.50480.307619
25-0.082245-0.6930.245283
26-0.004036-0.0340.486483
27-0.012298-0.10360.45888
280.0394350.33230.370325
290.0133210.11220.455474
30-0.01243-0.10470.458441
31-0.051478-0.43380.332887
32-0.025735-0.21680.414475
330.1682741.41790.080296
340.0346180.29170.385686
35-0.086105-0.72550.235256
360.0255020.21490.415236
370.0341220.28750.387278
380.0513640.43280.333236
39-0.164209-1.38370.0854
40-0.052238-0.44020.330578
41-0.026616-0.22430.411596
420.0812870.68490.247807
430.0508610.42860.33477
44-0.03537-0.2980.383273
45-0.09968-0.83990.201886
46-0.008537-0.07190.471427
470.0260720.21970.413373
48-0.021478-0.1810.42845







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.0428680.36120.359508
2-0.114515-0.96490.168929
3-0.165134-1.39140.084217
40.0097010.08170.46754
50.0061560.05190.479387
60.1107110.93290.177025
7-0.034851-0.29370.384937
8-0.026311-0.22170.412593
9-0.010205-0.0860.46586
10-0.077084-0.64950.259048
11-0.179825-1.51520.067077
12-0.07878-0.66380.254481
130.0024650.02080.491744
140.0106910.09010.464238
15-0.150661-1.26950.104206
16-0.045682-0.38490.350722
17-0.098318-0.82840.205098
18-0.063136-0.5320.298196
19-0.059526-0.50160.308759
20-0.045608-0.38430.350952
21-0.066201-0.55780.289361
22-0.023177-0.19530.422862
230.1588261.33830.092535
240.0317380.26740.394958
25-0.077524-0.65320.25786
26-0.000844-0.00710.497175
27-0.068882-0.58040.281738
28-0.046309-0.39020.348777
29-0.068288-0.57540.283419
30-0.052074-0.43880.331076
31-0.039669-0.33430.369586
32-0.087267-0.73530.232283
330.1794311.51190.067498
340.0563510.47480.318187
35-0.059144-0.49840.309887
360.0617590.52040.302206
370.0166740.14050.444331
380.0829950.69930.243315
39-0.217085-1.82920.035785
40-0.029992-0.25270.400607
41-0.00588-0.04950.480311
42-0.032302-0.27220.393135
430.0465450.39220.348045
440.009040.07620.469749
45-0.005605-0.04720.481231
46-0.07886-0.66450.254266
47-0.048855-0.41170.340913
480.0112250.09460.462456

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.042868 & 0.3612 & 0.359508 \tabularnewline
2 & -0.114515 & -0.9649 & 0.168929 \tabularnewline
3 & -0.165134 & -1.3914 & 0.084217 \tabularnewline
4 & 0.009701 & 0.0817 & 0.46754 \tabularnewline
5 & 0.006156 & 0.0519 & 0.479387 \tabularnewline
6 & 0.110711 & 0.9329 & 0.177025 \tabularnewline
7 & -0.034851 & -0.2937 & 0.384937 \tabularnewline
8 & -0.026311 & -0.2217 & 0.412593 \tabularnewline
9 & -0.010205 & -0.086 & 0.46586 \tabularnewline
10 & -0.077084 & -0.6495 & 0.259048 \tabularnewline
11 & -0.179825 & -1.5152 & 0.067077 \tabularnewline
12 & -0.07878 & -0.6638 & 0.254481 \tabularnewline
13 & 0.002465 & 0.0208 & 0.491744 \tabularnewline
14 & 0.010691 & 0.0901 & 0.464238 \tabularnewline
15 & -0.150661 & -1.2695 & 0.104206 \tabularnewline
16 & -0.045682 & -0.3849 & 0.350722 \tabularnewline
17 & -0.098318 & -0.8284 & 0.205098 \tabularnewline
18 & -0.063136 & -0.532 & 0.298196 \tabularnewline
19 & -0.059526 & -0.5016 & 0.308759 \tabularnewline
20 & -0.045608 & -0.3843 & 0.350952 \tabularnewline
21 & -0.066201 & -0.5578 & 0.289361 \tabularnewline
22 & -0.023177 & -0.1953 & 0.422862 \tabularnewline
23 & 0.158826 & 1.3383 & 0.092535 \tabularnewline
24 & 0.031738 & 0.2674 & 0.394958 \tabularnewline
25 & -0.077524 & -0.6532 & 0.25786 \tabularnewline
26 & -0.000844 & -0.0071 & 0.497175 \tabularnewline
27 & -0.068882 & -0.5804 & 0.281738 \tabularnewline
28 & -0.046309 & -0.3902 & 0.348777 \tabularnewline
29 & -0.068288 & -0.5754 & 0.283419 \tabularnewline
30 & -0.052074 & -0.4388 & 0.331076 \tabularnewline
31 & -0.039669 & -0.3343 & 0.369586 \tabularnewline
32 & -0.087267 & -0.7353 & 0.232283 \tabularnewline
33 & 0.179431 & 1.5119 & 0.067498 \tabularnewline
34 & 0.056351 & 0.4748 & 0.318187 \tabularnewline
35 & -0.059144 & -0.4984 & 0.309887 \tabularnewline
36 & 0.061759 & 0.5204 & 0.302206 \tabularnewline
37 & 0.016674 & 0.1405 & 0.444331 \tabularnewline
38 & 0.082995 & 0.6993 & 0.243315 \tabularnewline
39 & -0.217085 & -1.8292 & 0.035785 \tabularnewline
40 & -0.029992 & -0.2527 & 0.400607 \tabularnewline
41 & -0.00588 & -0.0495 & 0.480311 \tabularnewline
42 & -0.032302 & -0.2722 & 0.393135 \tabularnewline
43 & 0.046545 & 0.3922 & 0.348045 \tabularnewline
44 & 0.00904 & 0.0762 & 0.469749 \tabularnewline
45 & -0.005605 & -0.0472 & 0.481231 \tabularnewline
46 & -0.07886 & -0.6645 & 0.254266 \tabularnewline
47 & -0.048855 & -0.4117 & 0.340913 \tabularnewline
48 & 0.011225 & 0.0946 & 0.462456 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=146579&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]0.042868[/C][C]0.3612[/C][C]0.359508[/C][/ROW]
[ROW][C]2[/C][C]-0.114515[/C][C]-0.9649[/C][C]0.168929[/C][/ROW]
[ROW][C]3[/C][C]-0.165134[/C][C]-1.3914[/C][C]0.084217[/C][/ROW]
[ROW][C]4[/C][C]0.009701[/C][C]0.0817[/C][C]0.46754[/C][/ROW]
[ROW][C]5[/C][C]0.006156[/C][C]0.0519[/C][C]0.479387[/C][/ROW]
[ROW][C]6[/C][C]0.110711[/C][C]0.9329[/C][C]0.177025[/C][/ROW]
[ROW][C]7[/C][C]-0.034851[/C][C]-0.2937[/C][C]0.384937[/C][/ROW]
[ROW][C]8[/C][C]-0.026311[/C][C]-0.2217[/C][C]0.412593[/C][/ROW]
[ROW][C]9[/C][C]-0.010205[/C][C]-0.086[/C][C]0.46586[/C][/ROW]
[ROW][C]10[/C][C]-0.077084[/C][C]-0.6495[/C][C]0.259048[/C][/ROW]
[ROW][C]11[/C][C]-0.179825[/C][C]-1.5152[/C][C]0.067077[/C][/ROW]
[ROW][C]12[/C][C]-0.07878[/C][C]-0.6638[/C][C]0.254481[/C][/ROW]
[ROW][C]13[/C][C]0.002465[/C][C]0.0208[/C][C]0.491744[/C][/ROW]
[ROW][C]14[/C][C]0.010691[/C][C]0.0901[/C][C]0.464238[/C][/ROW]
[ROW][C]15[/C][C]-0.150661[/C][C]-1.2695[/C][C]0.104206[/C][/ROW]
[ROW][C]16[/C][C]-0.045682[/C][C]-0.3849[/C][C]0.350722[/C][/ROW]
[ROW][C]17[/C][C]-0.098318[/C][C]-0.8284[/C][C]0.205098[/C][/ROW]
[ROW][C]18[/C][C]-0.063136[/C][C]-0.532[/C][C]0.298196[/C][/ROW]
[ROW][C]19[/C][C]-0.059526[/C][C]-0.5016[/C][C]0.308759[/C][/ROW]
[ROW][C]20[/C][C]-0.045608[/C][C]-0.3843[/C][C]0.350952[/C][/ROW]
[ROW][C]21[/C][C]-0.066201[/C][C]-0.5578[/C][C]0.289361[/C][/ROW]
[ROW][C]22[/C][C]-0.023177[/C][C]-0.1953[/C][C]0.422862[/C][/ROW]
[ROW][C]23[/C][C]0.158826[/C][C]1.3383[/C][C]0.092535[/C][/ROW]
[ROW][C]24[/C][C]0.031738[/C][C]0.2674[/C][C]0.394958[/C][/ROW]
[ROW][C]25[/C][C]-0.077524[/C][C]-0.6532[/C][C]0.25786[/C][/ROW]
[ROW][C]26[/C][C]-0.000844[/C][C]-0.0071[/C][C]0.497175[/C][/ROW]
[ROW][C]27[/C][C]-0.068882[/C][C]-0.5804[/C][C]0.281738[/C][/ROW]
[ROW][C]28[/C][C]-0.046309[/C][C]-0.3902[/C][C]0.348777[/C][/ROW]
[ROW][C]29[/C][C]-0.068288[/C][C]-0.5754[/C][C]0.283419[/C][/ROW]
[ROW][C]30[/C][C]-0.052074[/C][C]-0.4388[/C][C]0.331076[/C][/ROW]
[ROW][C]31[/C][C]-0.039669[/C][C]-0.3343[/C][C]0.369586[/C][/ROW]
[ROW][C]32[/C][C]-0.087267[/C][C]-0.7353[/C][C]0.232283[/C][/ROW]
[ROW][C]33[/C][C]0.179431[/C][C]1.5119[/C][C]0.067498[/C][/ROW]
[ROW][C]34[/C][C]0.056351[/C][C]0.4748[/C][C]0.318187[/C][/ROW]
[ROW][C]35[/C][C]-0.059144[/C][C]-0.4984[/C][C]0.309887[/C][/ROW]
[ROW][C]36[/C][C]0.061759[/C][C]0.5204[/C][C]0.302206[/C][/ROW]
[ROW][C]37[/C][C]0.016674[/C][C]0.1405[/C][C]0.444331[/C][/ROW]
[ROW][C]38[/C][C]0.082995[/C][C]0.6993[/C][C]0.243315[/C][/ROW]
[ROW][C]39[/C][C]-0.217085[/C][C]-1.8292[/C][C]0.035785[/C][/ROW]
[ROW][C]40[/C][C]-0.029992[/C][C]-0.2527[/C][C]0.400607[/C][/ROW]
[ROW][C]41[/C][C]-0.00588[/C][C]-0.0495[/C][C]0.480311[/C][/ROW]
[ROW][C]42[/C][C]-0.032302[/C][C]-0.2722[/C][C]0.393135[/C][/ROW]
[ROW][C]43[/C][C]0.046545[/C][C]0.3922[/C][C]0.348045[/C][/ROW]
[ROW][C]44[/C][C]0.00904[/C][C]0.0762[/C][C]0.469749[/C][/ROW]
[ROW][C]45[/C][C]-0.005605[/C][C]-0.0472[/C][C]0.481231[/C][/ROW]
[ROW][C]46[/C][C]-0.07886[/C][C]-0.6645[/C][C]0.254266[/C][/ROW]
[ROW][C]47[/C][C]-0.048855[/C][C]-0.4117[/C][C]0.340913[/C][/ROW]
[ROW][C]48[/C][C]0.011225[/C][C]0.0946[/C][C]0.462456[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=146579&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=146579&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
10.0428680.36120.359508
2-0.114515-0.96490.168929
3-0.165134-1.39140.084217
40.0097010.08170.46754
50.0061560.05190.479387
60.1107110.93290.177025
7-0.034851-0.29370.384937
8-0.026311-0.22170.412593
9-0.010205-0.0860.46586
10-0.077084-0.64950.259048
11-0.179825-1.51520.067077
12-0.07878-0.66380.254481
130.0024650.02080.491744
140.0106910.09010.464238
15-0.150661-1.26950.104206
16-0.045682-0.38490.350722
17-0.098318-0.82840.205098
18-0.063136-0.5320.298196
19-0.059526-0.50160.308759
20-0.045608-0.38430.350952
21-0.066201-0.55780.289361
22-0.023177-0.19530.422862
230.1588261.33830.092535
240.0317380.26740.394958
25-0.077524-0.65320.25786
26-0.000844-0.00710.497175
27-0.068882-0.58040.281738
28-0.046309-0.39020.348777
29-0.068288-0.57540.283419
30-0.052074-0.43880.331076
31-0.039669-0.33430.369586
32-0.087267-0.73530.232283
330.1794311.51190.067498
340.0563510.47480.318187
35-0.059144-0.49840.309887
360.0617590.52040.302206
370.0166740.14050.444331
380.0829950.69930.243315
39-0.217085-1.82920.035785
40-0.029992-0.25270.400607
41-0.00588-0.04950.480311
42-0.032302-0.27220.393135
430.0465450.39220.348045
440.009040.07620.469749
45-0.005605-0.04720.481231
46-0.07886-0.66450.254266
47-0.048855-0.41170.340913
480.0112250.09460.462456



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')