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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, 28 Nov 2012 06:28:46 -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/2012/Nov/28/t1354102151x93ohkxfjs6i7pv.htm/, Retrieved Fri, 29 Mar 2024 09:29:55 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=194121, Retrieved Fri, 29 Mar 2024 09:29:55 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact120
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Eigen reeks] [2012-11-28 11:28:46] [759d976b0145c646d806dbc713cd6623] [Current]
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Dataseries X:
45,3
49,9
53,8
55,1
52,9
53,5
53,8
52
48,2
45,5
45,7
52,5
52,3
54,8
54,7
54,9
54,9
64,2
66,4
69,1
68,3
77,3
89,6
93
96,1
131,3
125,3
126
138,3
163
182,5
164,6
148,8
109,3
93,5
80,2
84
75,5
62,4
64,2
64,7
71
73,7
72,6
68,1
72,3
78,5
81,9
97,8
93,1
94,2
101,1
101
99,7
97,1
91,7
95
98,9
109
121,9
131,5
128,5
128,4
126,4
123,1
123
123,3
123,6
124,9
120,4
114,9
113,4




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=194121&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=194121&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=194121&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 time3 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.9402197.9780
20.8484757.19960
30.7407486.28550
40.6324085.36620
50.5221284.43041.6e-05
60.4081713.46340.000451
70.2967972.51840.007006
80.1847421.56760.060681
90.0874430.7420.230258
100.0035730.03030.487949
11-0.064388-0.54630.293258
12-0.129322-1.09730.138076
13-0.188884-1.60270.056686
14-0.226831-1.92470.029108
15-0.251561-2.13460.018101
16-0.260289-2.20860.015192
17-0.261146-2.21590.01493
18-0.257858-2.1880.015958
19-0.258344-2.19210.015802
20-0.260485-2.21030.015132
21-0.261868-2.2220.014712
22-0.25315-2.14810.017538
23-0.234097-1.98640.025399
24-0.221771-1.88180.031953
25-0.19982-1.69550.047148
26-0.146692-1.24470.108635
27-0.091649-0.77770.219656
28-0.03077-0.26110.397382
290.032330.27430.392308
300.0999040.84770.199702
310.1718321.4580.074589
320.2282181.93650.028366
330.276112.34290.010952
340.3002772.54790.006485
350.3063892.59980.005655
360.2953432.50610.007234
370.2844482.41360.00917
380.2572462.18280.016156
390.2131241.80840.037359
400.1580641.34120.092033
410.0998950.84760.199723
420.0416340.35330.362457
43-0.008113-0.06880.472653
44-0.052162-0.44260.329688
45-0.092948-0.78870.21644
46-0.130193-1.10470.136478
47-0.166403-1.4120.081133
48-0.190858-1.61950.054858

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.940219 & 7.978 & 0 \tabularnewline
2 & 0.848475 & 7.1996 & 0 \tabularnewline
3 & 0.740748 & 6.2855 & 0 \tabularnewline
4 & 0.632408 & 5.3662 & 0 \tabularnewline
5 & 0.522128 & 4.4304 & 1.6e-05 \tabularnewline
6 & 0.408171 & 3.4634 & 0.000451 \tabularnewline
7 & 0.296797 & 2.5184 & 0.007006 \tabularnewline
8 & 0.184742 & 1.5676 & 0.060681 \tabularnewline
9 & 0.087443 & 0.742 & 0.230258 \tabularnewline
10 & 0.003573 & 0.0303 & 0.487949 \tabularnewline
11 & -0.064388 & -0.5463 & 0.293258 \tabularnewline
12 & -0.129322 & -1.0973 & 0.138076 \tabularnewline
13 & -0.188884 & -1.6027 & 0.056686 \tabularnewline
14 & -0.226831 & -1.9247 & 0.029108 \tabularnewline
15 & -0.251561 & -2.1346 & 0.018101 \tabularnewline
16 & -0.260289 & -2.2086 & 0.015192 \tabularnewline
17 & -0.261146 & -2.2159 & 0.01493 \tabularnewline
18 & -0.257858 & -2.188 & 0.015958 \tabularnewline
19 & -0.258344 & -2.1921 & 0.015802 \tabularnewline
20 & -0.260485 & -2.2103 & 0.015132 \tabularnewline
21 & -0.261868 & -2.222 & 0.014712 \tabularnewline
22 & -0.25315 & -2.1481 & 0.017538 \tabularnewline
23 & -0.234097 & -1.9864 & 0.025399 \tabularnewline
24 & -0.221771 & -1.8818 & 0.031953 \tabularnewline
25 & -0.19982 & -1.6955 & 0.047148 \tabularnewline
26 & -0.146692 & -1.2447 & 0.108635 \tabularnewline
27 & -0.091649 & -0.7777 & 0.219656 \tabularnewline
28 & -0.03077 & -0.2611 & 0.397382 \tabularnewline
29 & 0.03233 & 0.2743 & 0.392308 \tabularnewline
30 & 0.099904 & 0.8477 & 0.199702 \tabularnewline
31 & 0.171832 & 1.458 & 0.074589 \tabularnewline
32 & 0.228218 & 1.9365 & 0.028366 \tabularnewline
33 & 0.27611 & 2.3429 & 0.010952 \tabularnewline
34 & 0.300277 & 2.5479 & 0.006485 \tabularnewline
35 & 0.306389 & 2.5998 & 0.005655 \tabularnewline
36 & 0.295343 & 2.5061 & 0.007234 \tabularnewline
37 & 0.284448 & 2.4136 & 0.00917 \tabularnewline
38 & 0.257246 & 2.1828 & 0.016156 \tabularnewline
39 & 0.213124 & 1.8084 & 0.037359 \tabularnewline
40 & 0.158064 & 1.3412 & 0.092033 \tabularnewline
41 & 0.099895 & 0.8476 & 0.199723 \tabularnewline
42 & 0.041634 & 0.3533 & 0.362457 \tabularnewline
43 & -0.008113 & -0.0688 & 0.472653 \tabularnewline
44 & -0.052162 & -0.4426 & 0.329688 \tabularnewline
45 & -0.092948 & -0.7887 & 0.21644 \tabularnewline
46 & -0.130193 & -1.1047 & 0.136478 \tabularnewline
47 & -0.166403 & -1.412 & 0.081133 \tabularnewline
48 & -0.190858 & -1.6195 & 0.054858 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=194121&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]0.940219[/C][C]7.978[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.848475[/C][C]7.1996[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.740748[/C][C]6.2855[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.632408[/C][C]5.3662[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.522128[/C][C]4.4304[/C][C]1.6e-05[/C][/ROW]
[ROW][C]6[/C][C]0.408171[/C][C]3.4634[/C][C]0.000451[/C][/ROW]
[ROW][C]7[/C][C]0.296797[/C][C]2.5184[/C][C]0.007006[/C][/ROW]
[ROW][C]8[/C][C]0.184742[/C][C]1.5676[/C][C]0.060681[/C][/ROW]
[ROW][C]9[/C][C]0.087443[/C][C]0.742[/C][C]0.230258[/C][/ROW]
[ROW][C]10[/C][C]0.003573[/C][C]0.0303[/C][C]0.487949[/C][/ROW]
[ROW][C]11[/C][C]-0.064388[/C][C]-0.5463[/C][C]0.293258[/C][/ROW]
[ROW][C]12[/C][C]-0.129322[/C][C]-1.0973[/C][C]0.138076[/C][/ROW]
[ROW][C]13[/C][C]-0.188884[/C][C]-1.6027[/C][C]0.056686[/C][/ROW]
[ROW][C]14[/C][C]-0.226831[/C][C]-1.9247[/C][C]0.029108[/C][/ROW]
[ROW][C]15[/C][C]-0.251561[/C][C]-2.1346[/C][C]0.018101[/C][/ROW]
[ROW][C]16[/C][C]-0.260289[/C][C]-2.2086[/C][C]0.015192[/C][/ROW]
[ROW][C]17[/C][C]-0.261146[/C][C]-2.2159[/C][C]0.01493[/C][/ROW]
[ROW][C]18[/C][C]-0.257858[/C][C]-2.188[/C][C]0.015958[/C][/ROW]
[ROW][C]19[/C][C]-0.258344[/C][C]-2.1921[/C][C]0.015802[/C][/ROW]
[ROW][C]20[/C][C]-0.260485[/C][C]-2.2103[/C][C]0.015132[/C][/ROW]
[ROW][C]21[/C][C]-0.261868[/C][C]-2.222[/C][C]0.014712[/C][/ROW]
[ROW][C]22[/C][C]-0.25315[/C][C]-2.1481[/C][C]0.017538[/C][/ROW]
[ROW][C]23[/C][C]-0.234097[/C][C]-1.9864[/C][C]0.025399[/C][/ROW]
[ROW][C]24[/C][C]-0.221771[/C][C]-1.8818[/C][C]0.031953[/C][/ROW]
[ROW][C]25[/C][C]-0.19982[/C][C]-1.6955[/C][C]0.047148[/C][/ROW]
[ROW][C]26[/C][C]-0.146692[/C][C]-1.2447[/C][C]0.108635[/C][/ROW]
[ROW][C]27[/C][C]-0.091649[/C][C]-0.7777[/C][C]0.219656[/C][/ROW]
[ROW][C]28[/C][C]-0.03077[/C][C]-0.2611[/C][C]0.397382[/C][/ROW]
[ROW][C]29[/C][C]0.03233[/C][C]0.2743[/C][C]0.392308[/C][/ROW]
[ROW][C]30[/C][C]0.099904[/C][C]0.8477[/C][C]0.199702[/C][/ROW]
[ROW][C]31[/C][C]0.171832[/C][C]1.458[/C][C]0.074589[/C][/ROW]
[ROW][C]32[/C][C]0.228218[/C][C]1.9365[/C][C]0.028366[/C][/ROW]
[ROW][C]33[/C][C]0.27611[/C][C]2.3429[/C][C]0.010952[/C][/ROW]
[ROW][C]34[/C][C]0.300277[/C][C]2.5479[/C][C]0.006485[/C][/ROW]
[ROW][C]35[/C][C]0.306389[/C][C]2.5998[/C][C]0.005655[/C][/ROW]
[ROW][C]36[/C][C]0.295343[/C][C]2.5061[/C][C]0.007234[/C][/ROW]
[ROW][C]37[/C][C]0.284448[/C][C]2.4136[/C][C]0.00917[/C][/ROW]
[ROW][C]38[/C][C]0.257246[/C][C]2.1828[/C][C]0.016156[/C][/ROW]
[ROW][C]39[/C][C]0.213124[/C][C]1.8084[/C][C]0.037359[/C][/ROW]
[ROW][C]40[/C][C]0.158064[/C][C]1.3412[/C][C]0.092033[/C][/ROW]
[ROW][C]41[/C][C]0.099895[/C][C]0.8476[/C][C]0.199723[/C][/ROW]
[ROW][C]42[/C][C]0.041634[/C][C]0.3533[/C][C]0.362457[/C][/ROW]
[ROW][C]43[/C][C]-0.008113[/C][C]-0.0688[/C][C]0.472653[/C][/ROW]
[ROW][C]44[/C][C]-0.052162[/C][C]-0.4426[/C][C]0.329688[/C][/ROW]
[ROW][C]45[/C][C]-0.092948[/C][C]-0.7887[/C][C]0.21644[/C][/ROW]
[ROW][C]46[/C][C]-0.130193[/C][C]-1.1047[/C][C]0.136478[/C][/ROW]
[ROW][C]47[/C][C]-0.166403[/C][C]-1.412[/C][C]0.081133[/C][/ROW]
[ROW][C]48[/C][C]-0.190858[/C][C]-1.6195[/C][C]0.054858[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=194121&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=194121&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
10.9402197.9780
20.8484757.19960
30.7407486.28550
40.6324085.36620
50.5221284.43041.6e-05
60.4081713.46340.000451
70.2967972.51840.007006
80.1847421.56760.060681
90.0874430.7420.230258
100.0035730.03030.487949
11-0.064388-0.54630.293258
12-0.129322-1.09730.138076
13-0.188884-1.60270.056686
14-0.226831-1.92470.029108
15-0.251561-2.13460.018101
16-0.260289-2.20860.015192
17-0.261146-2.21590.01493
18-0.257858-2.1880.015958
19-0.258344-2.19210.015802
20-0.260485-2.21030.015132
21-0.261868-2.2220.014712
22-0.25315-2.14810.017538
23-0.234097-1.98640.025399
24-0.221771-1.88180.031953
25-0.19982-1.69550.047148
26-0.146692-1.24470.108635
27-0.091649-0.77770.219656
28-0.03077-0.26110.397382
290.032330.27430.392308
300.0999040.84770.199702
310.1718321.4580.074589
320.2282181.93650.028366
330.276112.34290.010952
340.3002772.54790.006485
350.3063892.59980.005655
360.2953432.50610.007234
370.2844482.41360.00917
380.2572462.18280.016156
390.2131241.80840.037359
400.1580641.34120.092033
410.0998950.84760.199723
420.0416340.35330.362457
43-0.008113-0.06880.472653
44-0.052162-0.44260.329688
45-0.092948-0.78870.21644
46-0.130193-1.10470.136478
47-0.166403-1.4120.081133
48-0.190858-1.61950.054858







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9402197.9780
2-0.306372-2.59970.005657
3-0.127085-1.07830.142239
4-0.01547-0.13130.447964
5-0.086817-0.73670.23186
6-0.10725-0.910.182916
7-0.038257-0.32460.373204
8-0.103601-0.87910.19114
90.0465670.39510.346955
10-0.014592-0.12380.450901
112.8e-052e-040.499906
12-0.112653-0.95590.171162
13-0.042825-0.36340.358693
140.1095460.92950.177861
15-0.037896-0.32160.374361
160.0134080.11380.454869
17-0.016489-0.13990.444558
18-0.047668-0.40450.343529
19-0.083087-0.7050.241536
20-0.04445-0.37720.353579
21-0.048618-0.41250.340587
220.0698090.59230.277737
230.0396980.33690.368605
24-0.109989-0.93330.176895
250.0983660.83470.203335
260.2953792.50640.007229
27-0.144348-1.22480.112315
280.0451150.38280.351494
290.1000050.84860.199465
300.0556850.47250.318999
310.0984450.83530.203147
32-0.151364-1.28440.101565
33-0.003408-0.02890.488504
34-0.097513-0.82740.205364
35-0.019088-0.1620.435893
36-0.014861-0.12610.450001
370.039380.33420.369618
38-0.107206-0.90970.183015
390.0183380.15560.438391
40-0.06313-0.53570.296918
410.05890.49980.309376
42-0.047854-0.40610.342953
430.0948230.80460.21185
44-0.039523-0.33540.369162
45-0.04556-0.38660.350099
46-0.02652-0.2250.411298
47-0.011246-0.09540.462122
480.0142510.12090.452043

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.940219 & 7.978 & 0 \tabularnewline
2 & -0.306372 & -2.5997 & 0.005657 \tabularnewline
3 & -0.127085 & -1.0783 & 0.142239 \tabularnewline
4 & -0.01547 & -0.1313 & 0.447964 \tabularnewline
5 & -0.086817 & -0.7367 & 0.23186 \tabularnewline
6 & -0.10725 & -0.91 & 0.182916 \tabularnewline
7 & -0.038257 & -0.3246 & 0.373204 \tabularnewline
8 & -0.103601 & -0.8791 & 0.19114 \tabularnewline
9 & 0.046567 & 0.3951 & 0.346955 \tabularnewline
10 & -0.014592 & -0.1238 & 0.450901 \tabularnewline
11 & 2.8e-05 & 2e-04 & 0.499906 \tabularnewline
12 & -0.112653 & -0.9559 & 0.171162 \tabularnewline
13 & -0.042825 & -0.3634 & 0.358693 \tabularnewline
14 & 0.109546 & 0.9295 & 0.177861 \tabularnewline
15 & -0.037896 & -0.3216 & 0.374361 \tabularnewline
16 & 0.013408 & 0.1138 & 0.454869 \tabularnewline
17 & -0.016489 & -0.1399 & 0.444558 \tabularnewline
18 & -0.047668 & -0.4045 & 0.343529 \tabularnewline
19 & -0.083087 & -0.705 & 0.241536 \tabularnewline
20 & -0.04445 & -0.3772 & 0.353579 \tabularnewline
21 & -0.048618 & -0.4125 & 0.340587 \tabularnewline
22 & 0.069809 & 0.5923 & 0.277737 \tabularnewline
23 & 0.039698 & 0.3369 & 0.368605 \tabularnewline
24 & -0.109989 & -0.9333 & 0.176895 \tabularnewline
25 & 0.098366 & 0.8347 & 0.203335 \tabularnewline
26 & 0.295379 & 2.5064 & 0.007229 \tabularnewline
27 & -0.144348 & -1.2248 & 0.112315 \tabularnewline
28 & 0.045115 & 0.3828 & 0.351494 \tabularnewline
29 & 0.100005 & 0.8486 & 0.199465 \tabularnewline
30 & 0.055685 & 0.4725 & 0.318999 \tabularnewline
31 & 0.098445 & 0.8353 & 0.203147 \tabularnewline
32 & -0.151364 & -1.2844 & 0.101565 \tabularnewline
33 & -0.003408 & -0.0289 & 0.488504 \tabularnewline
34 & -0.097513 & -0.8274 & 0.205364 \tabularnewline
35 & -0.019088 & -0.162 & 0.435893 \tabularnewline
36 & -0.014861 & -0.1261 & 0.450001 \tabularnewline
37 & 0.03938 & 0.3342 & 0.369618 \tabularnewline
38 & -0.107206 & -0.9097 & 0.183015 \tabularnewline
39 & 0.018338 & 0.1556 & 0.438391 \tabularnewline
40 & -0.06313 & -0.5357 & 0.296918 \tabularnewline
41 & 0.0589 & 0.4998 & 0.309376 \tabularnewline
42 & -0.047854 & -0.4061 & 0.342953 \tabularnewline
43 & 0.094823 & 0.8046 & 0.21185 \tabularnewline
44 & -0.039523 & -0.3354 & 0.369162 \tabularnewline
45 & -0.04556 & -0.3866 & 0.350099 \tabularnewline
46 & -0.02652 & -0.225 & 0.411298 \tabularnewline
47 & -0.011246 & -0.0954 & 0.462122 \tabularnewline
48 & 0.014251 & 0.1209 & 0.452043 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=194121&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]0.940219[/C][C]7.978[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.306372[/C][C]-2.5997[/C][C]0.005657[/C][/ROW]
[ROW][C]3[/C][C]-0.127085[/C][C]-1.0783[/C][C]0.142239[/C][/ROW]
[ROW][C]4[/C][C]-0.01547[/C][C]-0.1313[/C][C]0.447964[/C][/ROW]
[ROW][C]5[/C][C]-0.086817[/C][C]-0.7367[/C][C]0.23186[/C][/ROW]
[ROW][C]6[/C][C]-0.10725[/C][C]-0.91[/C][C]0.182916[/C][/ROW]
[ROW][C]7[/C][C]-0.038257[/C][C]-0.3246[/C][C]0.373204[/C][/ROW]
[ROW][C]8[/C][C]-0.103601[/C][C]-0.8791[/C][C]0.19114[/C][/ROW]
[ROW][C]9[/C][C]0.046567[/C][C]0.3951[/C][C]0.346955[/C][/ROW]
[ROW][C]10[/C][C]-0.014592[/C][C]-0.1238[/C][C]0.450901[/C][/ROW]
[ROW][C]11[/C][C]2.8e-05[/C][C]2e-04[/C][C]0.499906[/C][/ROW]
[ROW][C]12[/C][C]-0.112653[/C][C]-0.9559[/C][C]0.171162[/C][/ROW]
[ROW][C]13[/C][C]-0.042825[/C][C]-0.3634[/C][C]0.358693[/C][/ROW]
[ROW][C]14[/C][C]0.109546[/C][C]0.9295[/C][C]0.177861[/C][/ROW]
[ROW][C]15[/C][C]-0.037896[/C][C]-0.3216[/C][C]0.374361[/C][/ROW]
[ROW][C]16[/C][C]0.013408[/C][C]0.1138[/C][C]0.454869[/C][/ROW]
[ROW][C]17[/C][C]-0.016489[/C][C]-0.1399[/C][C]0.444558[/C][/ROW]
[ROW][C]18[/C][C]-0.047668[/C][C]-0.4045[/C][C]0.343529[/C][/ROW]
[ROW][C]19[/C][C]-0.083087[/C][C]-0.705[/C][C]0.241536[/C][/ROW]
[ROW][C]20[/C][C]-0.04445[/C][C]-0.3772[/C][C]0.353579[/C][/ROW]
[ROW][C]21[/C][C]-0.048618[/C][C]-0.4125[/C][C]0.340587[/C][/ROW]
[ROW][C]22[/C][C]0.069809[/C][C]0.5923[/C][C]0.277737[/C][/ROW]
[ROW][C]23[/C][C]0.039698[/C][C]0.3369[/C][C]0.368605[/C][/ROW]
[ROW][C]24[/C][C]-0.109989[/C][C]-0.9333[/C][C]0.176895[/C][/ROW]
[ROW][C]25[/C][C]0.098366[/C][C]0.8347[/C][C]0.203335[/C][/ROW]
[ROW][C]26[/C][C]0.295379[/C][C]2.5064[/C][C]0.007229[/C][/ROW]
[ROW][C]27[/C][C]-0.144348[/C][C]-1.2248[/C][C]0.112315[/C][/ROW]
[ROW][C]28[/C][C]0.045115[/C][C]0.3828[/C][C]0.351494[/C][/ROW]
[ROW][C]29[/C][C]0.100005[/C][C]0.8486[/C][C]0.199465[/C][/ROW]
[ROW][C]30[/C][C]0.055685[/C][C]0.4725[/C][C]0.318999[/C][/ROW]
[ROW][C]31[/C][C]0.098445[/C][C]0.8353[/C][C]0.203147[/C][/ROW]
[ROW][C]32[/C][C]-0.151364[/C][C]-1.2844[/C][C]0.101565[/C][/ROW]
[ROW][C]33[/C][C]-0.003408[/C][C]-0.0289[/C][C]0.488504[/C][/ROW]
[ROW][C]34[/C][C]-0.097513[/C][C]-0.8274[/C][C]0.205364[/C][/ROW]
[ROW][C]35[/C][C]-0.019088[/C][C]-0.162[/C][C]0.435893[/C][/ROW]
[ROW][C]36[/C][C]-0.014861[/C][C]-0.1261[/C][C]0.450001[/C][/ROW]
[ROW][C]37[/C][C]0.03938[/C][C]0.3342[/C][C]0.369618[/C][/ROW]
[ROW][C]38[/C][C]-0.107206[/C][C]-0.9097[/C][C]0.183015[/C][/ROW]
[ROW][C]39[/C][C]0.018338[/C][C]0.1556[/C][C]0.438391[/C][/ROW]
[ROW][C]40[/C][C]-0.06313[/C][C]-0.5357[/C][C]0.296918[/C][/ROW]
[ROW][C]41[/C][C]0.0589[/C][C]0.4998[/C][C]0.309376[/C][/ROW]
[ROW][C]42[/C][C]-0.047854[/C][C]-0.4061[/C][C]0.342953[/C][/ROW]
[ROW][C]43[/C][C]0.094823[/C][C]0.8046[/C][C]0.21185[/C][/ROW]
[ROW][C]44[/C][C]-0.039523[/C][C]-0.3354[/C][C]0.369162[/C][/ROW]
[ROW][C]45[/C][C]-0.04556[/C][C]-0.3866[/C][C]0.350099[/C][/ROW]
[ROW][C]46[/C][C]-0.02652[/C][C]-0.225[/C][C]0.411298[/C][/ROW]
[ROW][C]47[/C][C]-0.011246[/C][C]-0.0954[/C][C]0.462122[/C][/ROW]
[ROW][C]48[/C][C]0.014251[/C][C]0.1209[/C][C]0.452043[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=194121&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=194121&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
10.9402197.9780
2-0.306372-2.59970.005657
3-0.127085-1.07830.142239
4-0.01547-0.13130.447964
5-0.086817-0.73670.23186
6-0.10725-0.910.182916
7-0.038257-0.32460.373204
8-0.103601-0.87910.19114
90.0465670.39510.346955
10-0.014592-0.12380.450901
112.8e-052e-040.499906
12-0.112653-0.95590.171162
13-0.042825-0.36340.358693
140.1095460.92950.177861
15-0.037896-0.32160.374361
160.0134080.11380.454869
17-0.016489-0.13990.444558
18-0.047668-0.40450.343529
19-0.083087-0.7050.241536
20-0.04445-0.37720.353579
21-0.048618-0.41250.340587
220.0698090.59230.277737
230.0396980.33690.368605
24-0.109989-0.93330.176895
250.0983660.83470.203335
260.2953792.50640.007229
27-0.144348-1.22480.112315
280.0451150.38280.351494
290.1000050.84860.199465
300.0556850.47250.318999
310.0984450.83530.203147
32-0.151364-1.28440.101565
33-0.003408-0.02890.488504
34-0.097513-0.82740.205364
35-0.019088-0.1620.435893
36-0.014861-0.12610.450001
370.039380.33420.369618
38-0.107206-0.90970.183015
390.0183380.15560.438391
40-0.06313-0.53570.296918
410.05890.49980.309376
42-0.047854-0.40610.342953
430.0948230.80460.21185
44-0.039523-0.33540.369162
45-0.04556-0.38660.350099
46-0.02652-0.2250.411298
47-0.011246-0.09540.462122
480.0142510.12090.452043



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ; par8 = ;
R code (references can be found in the software module):
par8 <- ''
par7 <- '0.95'
par6 <- 'White Noise'
par5 <- '12'
par4 <- '0'
par3 <- '1'
par2 <- '1'
par1 <- '48'
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')