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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationMon, 03 May 2010 17:33:04 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/May/03/t1272908091wfrrt8iqwun7a8x.htm/, Retrieved Fri, 29 Mar 2024 11:42:31 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=75267, Retrieved Fri, 29 Mar 2024 11:42:31 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP2W21
Estimated Impact114
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [] [2010-05-03 17:33:04] [c51d2a758763dfb1938fc52f7893fda4] [Current]
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Dataseries X:
132.8
132.5
131.4
131.4
130.7
131.5
131.2
130.1
130.5
129
128.2
128.4
127.3
127.7
127
123.9
125.4
124.6
124.5
124.8
124.1
124.2
122.8
122.3
121.1
121.7
122.2
122.2
122.7
121.7
121
119.8
120.2
116.6
116
118
117.1
116.2
113.3
114.3
113.6
113
112.9
112.7
112.5
113
111.9
110.9
109.8
108.3
109.2
109.2
108.7
109.8
110.8
110
109.6
109.5
110.8
111.6
113.1
114.3
114.1
113.8
112.6
112.7
111.5
110.7
110.4
109.7
110
111.3
109
108.2
107.2
108.7
110.3
110.3
109.5
109.5
109.4
109.6
111.3
110
109.5
110.693
109.195
108.095
108.199
106.87
105.278
108.711
111.192
109.641
109.42
109.935
111.126
110.733
110.34
111.766
111.294
111.54
112.008
111.007
114.963
112.045
110.703
108.894
107.51
111.35
112.964
115.203
115.182
115.191
112.346
110.774
113.07
111.138
109.092
107.971
107.051




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=75267&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=75267&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=75267&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.017298-0.18950.425015
2-0.090836-0.99510.160856
3-0.00559-0.06120.475638
4-0.155368-1.7020.045675
50.09050.99140.161749
6-0.059527-0.65210.257797
70.1224131.3410.091232
8-0.0233-0.25520.399486
90.0089780.09830.460911
100.0074410.08150.467583
11-0.048821-0.53480.296887
120.040920.44830.32739
13-0.032683-0.3580.360478
14-0.035793-0.39210.347843
150.0192830.21120.416532
160.0270980.29680.38355
170.0655550.71810.237039
180.0810950.88830.188066
190.0378480.41460.339587
20-0.02488-0.27260.392833
210.0236490.25910.398016
22-0.039183-0.42920.334262
23-0.097086-1.06350.14484
240.0504430.55260.290792
250.0180760.1980.421687
26-0.037943-0.41560.339205
27-0.075594-0.82810.204631
280.0077610.0850.466194
290.004470.0490.480516
30-0.097917-1.07260.142795
310.1297061.42090.078976
32-0.037627-0.41220.340471
330.0187720.20560.418713
340.187152.05010.021266
350.0056980.06240.475168
36-0.002669-0.02920.488362
37-0.072989-0.79960.212773
38-0.060469-0.66240.25449
39-0.006218-0.06810.472903
400.0676340.74090.230101
410.0978831.07230.142879
42-0.00839-0.09190.463461
43-0.072906-0.79860.213038
44-0.106709-1.16890.122373
45-0.004473-0.0490.480502
46-6.2e-05-7e-040.499731
47-0.078776-0.86290.194944
48-0.008868-0.09710.461385

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.017298 & -0.1895 & 0.425015 \tabularnewline
2 & -0.090836 & -0.9951 & 0.160856 \tabularnewline
3 & -0.00559 & -0.0612 & 0.475638 \tabularnewline
4 & -0.155368 & -1.702 & 0.045675 \tabularnewline
5 & 0.0905 & 0.9914 & 0.161749 \tabularnewline
6 & -0.059527 & -0.6521 & 0.257797 \tabularnewline
7 & 0.122413 & 1.341 & 0.091232 \tabularnewline
8 & -0.0233 & -0.2552 & 0.399486 \tabularnewline
9 & 0.008978 & 0.0983 & 0.460911 \tabularnewline
10 & 0.007441 & 0.0815 & 0.467583 \tabularnewline
11 & -0.048821 & -0.5348 & 0.296887 \tabularnewline
12 & 0.04092 & 0.4483 & 0.32739 \tabularnewline
13 & -0.032683 & -0.358 & 0.360478 \tabularnewline
14 & -0.035793 & -0.3921 & 0.347843 \tabularnewline
15 & 0.019283 & 0.2112 & 0.416532 \tabularnewline
16 & 0.027098 & 0.2968 & 0.38355 \tabularnewline
17 & 0.065555 & 0.7181 & 0.237039 \tabularnewline
18 & 0.081095 & 0.8883 & 0.188066 \tabularnewline
19 & 0.037848 & 0.4146 & 0.339587 \tabularnewline
20 & -0.02488 & -0.2726 & 0.392833 \tabularnewline
21 & 0.023649 & 0.2591 & 0.398016 \tabularnewline
22 & -0.039183 & -0.4292 & 0.334262 \tabularnewline
23 & -0.097086 & -1.0635 & 0.14484 \tabularnewline
24 & 0.050443 & 0.5526 & 0.290792 \tabularnewline
25 & 0.018076 & 0.198 & 0.421687 \tabularnewline
26 & -0.037943 & -0.4156 & 0.339205 \tabularnewline
27 & -0.075594 & -0.8281 & 0.204631 \tabularnewline
28 & 0.007761 & 0.085 & 0.466194 \tabularnewline
29 & 0.00447 & 0.049 & 0.480516 \tabularnewline
30 & -0.097917 & -1.0726 & 0.142795 \tabularnewline
31 & 0.129706 & 1.4209 & 0.078976 \tabularnewline
32 & -0.037627 & -0.4122 & 0.340471 \tabularnewline
33 & 0.018772 & 0.2056 & 0.418713 \tabularnewline
34 & 0.18715 & 2.0501 & 0.021266 \tabularnewline
35 & 0.005698 & 0.0624 & 0.475168 \tabularnewline
36 & -0.002669 & -0.0292 & 0.488362 \tabularnewline
37 & -0.072989 & -0.7996 & 0.212773 \tabularnewline
38 & -0.060469 & -0.6624 & 0.25449 \tabularnewline
39 & -0.006218 & -0.0681 & 0.472903 \tabularnewline
40 & 0.067634 & 0.7409 & 0.230101 \tabularnewline
41 & 0.097883 & 1.0723 & 0.142879 \tabularnewline
42 & -0.00839 & -0.0919 & 0.463461 \tabularnewline
43 & -0.072906 & -0.7986 & 0.213038 \tabularnewline
44 & -0.106709 & -1.1689 & 0.122373 \tabularnewline
45 & -0.004473 & -0.049 & 0.480502 \tabularnewline
46 & -6.2e-05 & -7e-04 & 0.499731 \tabularnewline
47 & -0.078776 & -0.8629 & 0.194944 \tabularnewline
48 & -0.008868 & -0.0971 & 0.461385 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=75267&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]-0.017298[/C][C]-0.1895[/C][C]0.425015[/C][/ROW]
[ROW][C]2[/C][C]-0.090836[/C][C]-0.9951[/C][C]0.160856[/C][/ROW]
[ROW][C]3[/C][C]-0.00559[/C][C]-0.0612[/C][C]0.475638[/C][/ROW]
[ROW][C]4[/C][C]-0.155368[/C][C]-1.702[/C][C]0.045675[/C][/ROW]
[ROW][C]5[/C][C]0.0905[/C][C]0.9914[/C][C]0.161749[/C][/ROW]
[ROW][C]6[/C][C]-0.059527[/C][C]-0.6521[/C][C]0.257797[/C][/ROW]
[ROW][C]7[/C][C]0.122413[/C][C]1.341[/C][C]0.091232[/C][/ROW]
[ROW][C]8[/C][C]-0.0233[/C][C]-0.2552[/C][C]0.399486[/C][/ROW]
[ROW][C]9[/C][C]0.008978[/C][C]0.0983[/C][C]0.460911[/C][/ROW]
[ROW][C]10[/C][C]0.007441[/C][C]0.0815[/C][C]0.467583[/C][/ROW]
[ROW][C]11[/C][C]-0.048821[/C][C]-0.5348[/C][C]0.296887[/C][/ROW]
[ROW][C]12[/C][C]0.04092[/C][C]0.4483[/C][C]0.32739[/C][/ROW]
[ROW][C]13[/C][C]-0.032683[/C][C]-0.358[/C][C]0.360478[/C][/ROW]
[ROW][C]14[/C][C]-0.035793[/C][C]-0.3921[/C][C]0.347843[/C][/ROW]
[ROW][C]15[/C][C]0.019283[/C][C]0.2112[/C][C]0.416532[/C][/ROW]
[ROW][C]16[/C][C]0.027098[/C][C]0.2968[/C][C]0.38355[/C][/ROW]
[ROW][C]17[/C][C]0.065555[/C][C]0.7181[/C][C]0.237039[/C][/ROW]
[ROW][C]18[/C][C]0.081095[/C][C]0.8883[/C][C]0.188066[/C][/ROW]
[ROW][C]19[/C][C]0.037848[/C][C]0.4146[/C][C]0.339587[/C][/ROW]
[ROW][C]20[/C][C]-0.02488[/C][C]-0.2726[/C][C]0.392833[/C][/ROW]
[ROW][C]21[/C][C]0.023649[/C][C]0.2591[/C][C]0.398016[/C][/ROW]
[ROW][C]22[/C][C]-0.039183[/C][C]-0.4292[/C][C]0.334262[/C][/ROW]
[ROW][C]23[/C][C]-0.097086[/C][C]-1.0635[/C][C]0.14484[/C][/ROW]
[ROW][C]24[/C][C]0.050443[/C][C]0.5526[/C][C]0.290792[/C][/ROW]
[ROW][C]25[/C][C]0.018076[/C][C]0.198[/C][C]0.421687[/C][/ROW]
[ROW][C]26[/C][C]-0.037943[/C][C]-0.4156[/C][C]0.339205[/C][/ROW]
[ROW][C]27[/C][C]-0.075594[/C][C]-0.8281[/C][C]0.204631[/C][/ROW]
[ROW][C]28[/C][C]0.007761[/C][C]0.085[/C][C]0.466194[/C][/ROW]
[ROW][C]29[/C][C]0.00447[/C][C]0.049[/C][C]0.480516[/C][/ROW]
[ROW][C]30[/C][C]-0.097917[/C][C]-1.0726[/C][C]0.142795[/C][/ROW]
[ROW][C]31[/C][C]0.129706[/C][C]1.4209[/C][C]0.078976[/C][/ROW]
[ROW][C]32[/C][C]-0.037627[/C][C]-0.4122[/C][C]0.340471[/C][/ROW]
[ROW][C]33[/C][C]0.018772[/C][C]0.2056[/C][C]0.418713[/C][/ROW]
[ROW][C]34[/C][C]0.18715[/C][C]2.0501[/C][C]0.021266[/C][/ROW]
[ROW][C]35[/C][C]0.005698[/C][C]0.0624[/C][C]0.475168[/C][/ROW]
[ROW][C]36[/C][C]-0.002669[/C][C]-0.0292[/C][C]0.488362[/C][/ROW]
[ROW][C]37[/C][C]-0.072989[/C][C]-0.7996[/C][C]0.212773[/C][/ROW]
[ROW][C]38[/C][C]-0.060469[/C][C]-0.6624[/C][C]0.25449[/C][/ROW]
[ROW][C]39[/C][C]-0.006218[/C][C]-0.0681[/C][C]0.472903[/C][/ROW]
[ROW][C]40[/C][C]0.067634[/C][C]0.7409[/C][C]0.230101[/C][/ROW]
[ROW][C]41[/C][C]0.097883[/C][C]1.0723[/C][C]0.142879[/C][/ROW]
[ROW][C]42[/C][C]-0.00839[/C][C]-0.0919[/C][C]0.463461[/C][/ROW]
[ROW][C]43[/C][C]-0.072906[/C][C]-0.7986[/C][C]0.213038[/C][/ROW]
[ROW][C]44[/C][C]-0.106709[/C][C]-1.1689[/C][C]0.122373[/C][/ROW]
[ROW][C]45[/C][C]-0.004473[/C][C]-0.049[/C][C]0.480502[/C][/ROW]
[ROW][C]46[/C][C]-6.2e-05[/C][C]-7e-04[/C][C]0.499731[/C][/ROW]
[ROW][C]47[/C][C]-0.078776[/C][C]-0.8629[/C][C]0.194944[/C][/ROW]
[ROW][C]48[/C][C]-0.008868[/C][C]-0.0971[/C][C]0.461385[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=75267&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=75267&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
1-0.017298-0.18950.425015
2-0.090836-0.99510.160856
3-0.00559-0.06120.475638
4-0.155368-1.7020.045675
50.09050.99140.161749
6-0.059527-0.65210.257797
70.1224131.3410.091232
8-0.0233-0.25520.399486
90.0089780.09830.460911
100.0074410.08150.467583
11-0.048821-0.53480.296887
120.040920.44830.32739
13-0.032683-0.3580.360478
14-0.035793-0.39210.347843
150.0192830.21120.416532
160.0270980.29680.38355
170.0655550.71810.237039
180.0810950.88830.188066
190.0378480.41460.339587
20-0.02488-0.27260.392833
210.0236490.25910.398016
22-0.039183-0.42920.334262
23-0.097086-1.06350.14484
240.0504430.55260.290792
250.0180760.1980.421687
26-0.037943-0.41560.339205
27-0.075594-0.82810.204631
280.0077610.0850.466194
290.004470.0490.480516
30-0.097917-1.07260.142795
310.1297061.42090.078976
32-0.037627-0.41220.340471
330.0187720.20560.418713
340.187152.05010.021266
350.0056980.06240.475168
36-0.002669-0.02920.488362
37-0.072989-0.79960.212773
38-0.060469-0.66240.25449
39-0.006218-0.06810.472903
400.0676340.74090.230101
410.0978831.07230.142879
42-0.00839-0.09190.463461
43-0.072906-0.79860.213038
44-0.106709-1.16890.122373
45-0.004473-0.0490.480502
46-6.2e-05-7e-040.499731
47-0.078776-0.86290.194944
48-0.008868-0.09710.461385







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.017298-0.18950.425015
2-0.091162-0.99860.159991
3-0.008958-0.09810.460996
4-0.165365-1.81150.036283
50.0857130.93890.174823
6-0.09263-1.01470.156143
70.1454391.59320.056872
8-0.072284-0.79180.215011
90.0788210.86340.19481
10-0.047871-0.52440.300484
110.0285290.31250.377594
12-0.016611-0.1820.427958
130.0113170.1240.450772
14-0.07786-0.85290.197702
150.0400930.43920.330655
160.0027790.03040.487883
170.0803810.88050.190166
180.0751380.82310.206043
190.0719050.78770.21622
20-0.008806-0.09650.461658
210.0758760.83120.203761
22-0.047304-0.51820.302641
23-0.076288-0.83570.202493
240.0157510.17250.43165
250.0013930.01530.493926
26-0.064993-0.7120.238934
27-0.095417-1.04520.149006
280.0117620.12880.448849
29-0.018923-0.20730.418067
30-0.091088-0.99780.160186
310.1205721.32080.094542
32-0.048681-0.53330.297416
330.05480.60030.274717
340.1657131.81530.035988
350.07470.81830.207405
36-0.034821-0.38140.351774
37-0.02215-0.24260.404349
38-0.070782-0.77540.219821
39-0.015461-0.16940.432896
400.0483940.53010.2985
410.0726710.79610.213783
420.0049550.05430.478401
43-0.064907-0.7110.239225
44-0.063825-0.69920.242899
450.0353790.38760.349515
46-0.047988-0.52570.300039
47-0.087368-0.95710.170229
48-0.032434-0.35530.361495

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.017298 & -0.1895 & 0.425015 \tabularnewline
2 & -0.091162 & -0.9986 & 0.159991 \tabularnewline
3 & -0.008958 & -0.0981 & 0.460996 \tabularnewline
4 & -0.165365 & -1.8115 & 0.036283 \tabularnewline
5 & 0.085713 & 0.9389 & 0.174823 \tabularnewline
6 & -0.09263 & -1.0147 & 0.156143 \tabularnewline
7 & 0.145439 & 1.5932 & 0.056872 \tabularnewline
8 & -0.072284 & -0.7918 & 0.215011 \tabularnewline
9 & 0.078821 & 0.8634 & 0.19481 \tabularnewline
10 & -0.047871 & -0.5244 & 0.300484 \tabularnewline
11 & 0.028529 & 0.3125 & 0.377594 \tabularnewline
12 & -0.016611 & -0.182 & 0.427958 \tabularnewline
13 & 0.011317 & 0.124 & 0.450772 \tabularnewline
14 & -0.07786 & -0.8529 & 0.197702 \tabularnewline
15 & 0.040093 & 0.4392 & 0.330655 \tabularnewline
16 & 0.002779 & 0.0304 & 0.487883 \tabularnewline
17 & 0.080381 & 0.8805 & 0.190166 \tabularnewline
18 & 0.075138 & 0.8231 & 0.206043 \tabularnewline
19 & 0.071905 & 0.7877 & 0.21622 \tabularnewline
20 & -0.008806 & -0.0965 & 0.461658 \tabularnewline
21 & 0.075876 & 0.8312 & 0.203761 \tabularnewline
22 & -0.047304 & -0.5182 & 0.302641 \tabularnewline
23 & -0.076288 & -0.8357 & 0.202493 \tabularnewline
24 & 0.015751 & 0.1725 & 0.43165 \tabularnewline
25 & 0.001393 & 0.0153 & 0.493926 \tabularnewline
26 & -0.064993 & -0.712 & 0.238934 \tabularnewline
27 & -0.095417 & -1.0452 & 0.149006 \tabularnewline
28 & 0.011762 & 0.1288 & 0.448849 \tabularnewline
29 & -0.018923 & -0.2073 & 0.418067 \tabularnewline
30 & -0.091088 & -0.9978 & 0.160186 \tabularnewline
31 & 0.120572 & 1.3208 & 0.094542 \tabularnewline
32 & -0.048681 & -0.5333 & 0.297416 \tabularnewline
33 & 0.0548 & 0.6003 & 0.274717 \tabularnewline
34 & 0.165713 & 1.8153 & 0.035988 \tabularnewline
35 & 0.0747 & 0.8183 & 0.207405 \tabularnewline
36 & -0.034821 & -0.3814 & 0.351774 \tabularnewline
37 & -0.02215 & -0.2426 & 0.404349 \tabularnewline
38 & -0.070782 & -0.7754 & 0.219821 \tabularnewline
39 & -0.015461 & -0.1694 & 0.432896 \tabularnewline
40 & 0.048394 & 0.5301 & 0.2985 \tabularnewline
41 & 0.072671 & 0.7961 & 0.213783 \tabularnewline
42 & 0.004955 & 0.0543 & 0.478401 \tabularnewline
43 & -0.064907 & -0.711 & 0.239225 \tabularnewline
44 & -0.063825 & -0.6992 & 0.242899 \tabularnewline
45 & 0.035379 & 0.3876 & 0.349515 \tabularnewline
46 & -0.047988 & -0.5257 & 0.300039 \tabularnewline
47 & -0.087368 & -0.9571 & 0.170229 \tabularnewline
48 & -0.032434 & -0.3553 & 0.361495 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=75267&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]-0.017298[/C][C]-0.1895[/C][C]0.425015[/C][/ROW]
[ROW][C]2[/C][C]-0.091162[/C][C]-0.9986[/C][C]0.159991[/C][/ROW]
[ROW][C]3[/C][C]-0.008958[/C][C]-0.0981[/C][C]0.460996[/C][/ROW]
[ROW][C]4[/C][C]-0.165365[/C][C]-1.8115[/C][C]0.036283[/C][/ROW]
[ROW][C]5[/C][C]0.085713[/C][C]0.9389[/C][C]0.174823[/C][/ROW]
[ROW][C]6[/C][C]-0.09263[/C][C]-1.0147[/C][C]0.156143[/C][/ROW]
[ROW][C]7[/C][C]0.145439[/C][C]1.5932[/C][C]0.056872[/C][/ROW]
[ROW][C]8[/C][C]-0.072284[/C][C]-0.7918[/C][C]0.215011[/C][/ROW]
[ROW][C]9[/C][C]0.078821[/C][C]0.8634[/C][C]0.19481[/C][/ROW]
[ROW][C]10[/C][C]-0.047871[/C][C]-0.5244[/C][C]0.300484[/C][/ROW]
[ROW][C]11[/C][C]0.028529[/C][C]0.3125[/C][C]0.377594[/C][/ROW]
[ROW][C]12[/C][C]-0.016611[/C][C]-0.182[/C][C]0.427958[/C][/ROW]
[ROW][C]13[/C][C]0.011317[/C][C]0.124[/C][C]0.450772[/C][/ROW]
[ROW][C]14[/C][C]-0.07786[/C][C]-0.8529[/C][C]0.197702[/C][/ROW]
[ROW][C]15[/C][C]0.040093[/C][C]0.4392[/C][C]0.330655[/C][/ROW]
[ROW][C]16[/C][C]0.002779[/C][C]0.0304[/C][C]0.487883[/C][/ROW]
[ROW][C]17[/C][C]0.080381[/C][C]0.8805[/C][C]0.190166[/C][/ROW]
[ROW][C]18[/C][C]0.075138[/C][C]0.8231[/C][C]0.206043[/C][/ROW]
[ROW][C]19[/C][C]0.071905[/C][C]0.7877[/C][C]0.21622[/C][/ROW]
[ROW][C]20[/C][C]-0.008806[/C][C]-0.0965[/C][C]0.461658[/C][/ROW]
[ROW][C]21[/C][C]0.075876[/C][C]0.8312[/C][C]0.203761[/C][/ROW]
[ROW][C]22[/C][C]-0.047304[/C][C]-0.5182[/C][C]0.302641[/C][/ROW]
[ROW][C]23[/C][C]-0.076288[/C][C]-0.8357[/C][C]0.202493[/C][/ROW]
[ROW][C]24[/C][C]0.015751[/C][C]0.1725[/C][C]0.43165[/C][/ROW]
[ROW][C]25[/C][C]0.001393[/C][C]0.0153[/C][C]0.493926[/C][/ROW]
[ROW][C]26[/C][C]-0.064993[/C][C]-0.712[/C][C]0.238934[/C][/ROW]
[ROW][C]27[/C][C]-0.095417[/C][C]-1.0452[/C][C]0.149006[/C][/ROW]
[ROW][C]28[/C][C]0.011762[/C][C]0.1288[/C][C]0.448849[/C][/ROW]
[ROW][C]29[/C][C]-0.018923[/C][C]-0.2073[/C][C]0.418067[/C][/ROW]
[ROW][C]30[/C][C]-0.091088[/C][C]-0.9978[/C][C]0.160186[/C][/ROW]
[ROW][C]31[/C][C]0.120572[/C][C]1.3208[/C][C]0.094542[/C][/ROW]
[ROW][C]32[/C][C]-0.048681[/C][C]-0.5333[/C][C]0.297416[/C][/ROW]
[ROW][C]33[/C][C]0.0548[/C][C]0.6003[/C][C]0.274717[/C][/ROW]
[ROW][C]34[/C][C]0.165713[/C][C]1.8153[/C][C]0.035988[/C][/ROW]
[ROW][C]35[/C][C]0.0747[/C][C]0.8183[/C][C]0.207405[/C][/ROW]
[ROW][C]36[/C][C]-0.034821[/C][C]-0.3814[/C][C]0.351774[/C][/ROW]
[ROW][C]37[/C][C]-0.02215[/C][C]-0.2426[/C][C]0.404349[/C][/ROW]
[ROW][C]38[/C][C]-0.070782[/C][C]-0.7754[/C][C]0.219821[/C][/ROW]
[ROW][C]39[/C][C]-0.015461[/C][C]-0.1694[/C][C]0.432896[/C][/ROW]
[ROW][C]40[/C][C]0.048394[/C][C]0.5301[/C][C]0.2985[/C][/ROW]
[ROW][C]41[/C][C]0.072671[/C][C]0.7961[/C][C]0.213783[/C][/ROW]
[ROW][C]42[/C][C]0.004955[/C][C]0.0543[/C][C]0.478401[/C][/ROW]
[ROW][C]43[/C][C]-0.064907[/C][C]-0.711[/C][C]0.239225[/C][/ROW]
[ROW][C]44[/C][C]-0.063825[/C][C]-0.6992[/C][C]0.242899[/C][/ROW]
[ROW][C]45[/C][C]0.035379[/C][C]0.3876[/C][C]0.349515[/C][/ROW]
[ROW][C]46[/C][C]-0.047988[/C][C]-0.5257[/C][C]0.300039[/C][/ROW]
[ROW][C]47[/C][C]-0.087368[/C][C]-0.9571[/C][C]0.170229[/C][/ROW]
[ROW][C]48[/C][C]-0.032434[/C][C]-0.3553[/C][C]0.361495[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=75267&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=75267&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
1-0.017298-0.18950.425015
2-0.091162-0.99860.159991
3-0.008958-0.09810.460996
4-0.165365-1.81150.036283
50.0857130.93890.174823
6-0.09263-1.01470.156143
70.1454391.59320.056872
8-0.072284-0.79180.215011
90.0788210.86340.19481
10-0.047871-0.52440.300484
110.0285290.31250.377594
12-0.016611-0.1820.427958
130.0113170.1240.450772
14-0.07786-0.85290.197702
150.0400930.43920.330655
160.0027790.03040.487883
170.0803810.88050.190166
180.0751380.82310.206043
190.0719050.78770.21622
20-0.008806-0.09650.461658
210.0758760.83120.203761
22-0.047304-0.51820.302641
23-0.076288-0.83570.202493
240.0157510.17250.43165
250.0013930.01530.493926
26-0.064993-0.7120.238934
27-0.095417-1.04520.149006
280.0117620.12880.448849
29-0.018923-0.20730.418067
30-0.091088-0.99780.160186
310.1205721.32080.094542
32-0.048681-0.53330.297416
330.05480.60030.274717
340.1657131.81530.035988
350.07470.81830.207405
36-0.034821-0.38140.351774
37-0.02215-0.24260.404349
38-0.070782-0.77540.219821
39-0.015461-0.16940.432896
400.0483940.53010.2985
410.0726710.79610.213783
420.0049550.05430.478401
43-0.064907-0.7110.239225
44-0.063825-0.69920.242899
450.0353790.38760.349515
46-0.047988-0.52570.300039
47-0.087368-0.95710.170229
48-0.032434-0.35530.361495



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 ;
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 (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='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
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 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')