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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, 08 Dec 2008 13:23:59 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Dec/08/t1228767950se6y8oi502pi465.htm/, Retrieved Thu, 16 May 2024 14:28:50 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=30957, Retrieved Thu, 16 May 2024 14:28:50 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact164
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [opgave 6bis oefen...] [2008-12-08 20:23:59] [c434db3e06036413789480a9f3c4e100] [Current]
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Dataseries X:
0.89
0.88
0.87
0.87
0.87
0.87
0.88
0.87
0.86
0.86
0.86
0.84
0.84
0.83
0.84
0.88
0.9
0.89
0.91
0.94
0.94
0.95
0.95
0.98
0.96
1
1.05
1.03
1.07
1.12
1.1
1.06
1.11
1.08
1.07
1.02
1
1.04
1.02
1.07
1.12
1.08
1.02
1.01
1.04
0.98
0.95
0.94
0.94
0.96
0.97
1.03
1.01
0.99
1
1
1.02
1.01
0.99
0.98
1.01
1.03
1.03
1
0.96
0.97
0.98
1.02
1.04
1.01
1.01
1
1.01
1.02
1.03
1.06
1.12
1.12
1.13
1.13
1.13
1.17
1.14
1.08
1.07
1.12
1.14
1.21
1.2
1.23
1.29
1.31
1.37
1.35
1.26
1.26




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of 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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=30957&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=30957&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=30957&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'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.1201561.17110.122237
2-0.148425-1.44670.075641
30.0125440.12230.451474
4-0.093751-0.91380.181575
50.0225290.21960.413333
6-0.044802-0.43670.331669
7-0.071284-0.69480.244441
8-0.144852-1.41180.080631
9-0.128339-1.25090.107023
100.0581890.56720.285974
110.3720573.62640.000232
120.0700580.68280.248185
13-0.146213-1.42510.078702
140.113331.10460.136061
15-0.069129-0.67380.251043
16-0.066152-0.64480.260316
17-0.019178-0.18690.42606
18-0.114333-1.11440.133963
19-0.008943-0.08720.465363
20-0.074449-0.72560.234923
21-0.033199-0.32360.373481
220.0339190.33060.370837
23-0.031337-0.30540.380353
240.0213030.20760.41798
250.1221611.19070.118373
26-0.088814-0.86560.194432
27-0.136513-1.33060.093258
280.0245870.23960.405562
29-0.032797-0.31970.374962
300.0402370.39220.347902
310.0172130.16780.433558
32-0.083357-0.81250.209279
33-0.062383-0.6080.272309
34-0.051666-0.50360.307863
350.0306830.29910.382774
360.1442551.4060.081489
370.0321040.31290.377516
380.0075070.07320.470914
39-0.010162-0.0990.460656
40-0.07296-0.71110.239374
410.122251.19150.118204
420.0201650.19650.422302
43-0.186409-1.81690.036193
44-0.105695-1.03020.15277
45-0.123995-1.20860.114917
46-0.028742-0.28010.389989
470.0701010.68330.248052
480.0846590.82520.205677

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.120156 & 1.1711 & 0.122237 \tabularnewline
2 & -0.148425 & -1.4467 & 0.075641 \tabularnewline
3 & 0.012544 & 0.1223 & 0.451474 \tabularnewline
4 & -0.093751 & -0.9138 & 0.181575 \tabularnewline
5 & 0.022529 & 0.2196 & 0.413333 \tabularnewline
6 & -0.044802 & -0.4367 & 0.331669 \tabularnewline
7 & -0.071284 & -0.6948 & 0.244441 \tabularnewline
8 & -0.144852 & -1.4118 & 0.080631 \tabularnewline
9 & -0.128339 & -1.2509 & 0.107023 \tabularnewline
10 & 0.058189 & 0.5672 & 0.285974 \tabularnewline
11 & 0.372057 & 3.6264 & 0.000232 \tabularnewline
12 & 0.070058 & 0.6828 & 0.248185 \tabularnewline
13 & -0.146213 & -1.4251 & 0.078702 \tabularnewline
14 & 0.11333 & 1.1046 & 0.136061 \tabularnewline
15 & -0.069129 & -0.6738 & 0.251043 \tabularnewline
16 & -0.066152 & -0.6448 & 0.260316 \tabularnewline
17 & -0.019178 & -0.1869 & 0.42606 \tabularnewline
18 & -0.114333 & -1.1144 & 0.133963 \tabularnewline
19 & -0.008943 & -0.0872 & 0.465363 \tabularnewline
20 & -0.074449 & -0.7256 & 0.234923 \tabularnewline
21 & -0.033199 & -0.3236 & 0.373481 \tabularnewline
22 & 0.033919 & 0.3306 & 0.370837 \tabularnewline
23 & -0.031337 & -0.3054 & 0.380353 \tabularnewline
24 & 0.021303 & 0.2076 & 0.41798 \tabularnewline
25 & 0.122161 & 1.1907 & 0.118373 \tabularnewline
26 & -0.088814 & -0.8656 & 0.194432 \tabularnewline
27 & -0.136513 & -1.3306 & 0.093258 \tabularnewline
28 & 0.024587 & 0.2396 & 0.405562 \tabularnewline
29 & -0.032797 & -0.3197 & 0.374962 \tabularnewline
30 & 0.040237 & 0.3922 & 0.347902 \tabularnewline
31 & 0.017213 & 0.1678 & 0.433558 \tabularnewline
32 & -0.083357 & -0.8125 & 0.209279 \tabularnewline
33 & -0.062383 & -0.608 & 0.272309 \tabularnewline
34 & -0.051666 & -0.5036 & 0.307863 \tabularnewline
35 & 0.030683 & 0.2991 & 0.382774 \tabularnewline
36 & 0.144255 & 1.406 & 0.081489 \tabularnewline
37 & 0.032104 & 0.3129 & 0.377516 \tabularnewline
38 & 0.007507 & 0.0732 & 0.470914 \tabularnewline
39 & -0.010162 & -0.099 & 0.460656 \tabularnewline
40 & -0.07296 & -0.7111 & 0.239374 \tabularnewline
41 & 0.12225 & 1.1915 & 0.118204 \tabularnewline
42 & 0.020165 & 0.1965 & 0.422302 \tabularnewline
43 & -0.186409 & -1.8169 & 0.036193 \tabularnewline
44 & -0.105695 & -1.0302 & 0.15277 \tabularnewline
45 & -0.123995 & -1.2086 & 0.114917 \tabularnewline
46 & -0.028742 & -0.2801 & 0.389989 \tabularnewline
47 & 0.070101 & 0.6833 & 0.248052 \tabularnewline
48 & 0.084659 & 0.8252 & 0.205677 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=30957&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]0.120156[/C][C]1.1711[/C][C]0.122237[/C][/ROW]
[ROW][C]2[/C][C]-0.148425[/C][C]-1.4467[/C][C]0.075641[/C][/ROW]
[ROW][C]3[/C][C]0.012544[/C][C]0.1223[/C][C]0.451474[/C][/ROW]
[ROW][C]4[/C][C]-0.093751[/C][C]-0.9138[/C][C]0.181575[/C][/ROW]
[ROW][C]5[/C][C]0.022529[/C][C]0.2196[/C][C]0.413333[/C][/ROW]
[ROW][C]6[/C][C]-0.044802[/C][C]-0.4367[/C][C]0.331669[/C][/ROW]
[ROW][C]7[/C][C]-0.071284[/C][C]-0.6948[/C][C]0.244441[/C][/ROW]
[ROW][C]8[/C][C]-0.144852[/C][C]-1.4118[/C][C]0.080631[/C][/ROW]
[ROW][C]9[/C][C]-0.128339[/C][C]-1.2509[/C][C]0.107023[/C][/ROW]
[ROW][C]10[/C][C]0.058189[/C][C]0.5672[/C][C]0.285974[/C][/ROW]
[ROW][C]11[/C][C]0.372057[/C][C]3.6264[/C][C]0.000232[/C][/ROW]
[ROW][C]12[/C][C]0.070058[/C][C]0.6828[/C][C]0.248185[/C][/ROW]
[ROW][C]13[/C][C]-0.146213[/C][C]-1.4251[/C][C]0.078702[/C][/ROW]
[ROW][C]14[/C][C]0.11333[/C][C]1.1046[/C][C]0.136061[/C][/ROW]
[ROW][C]15[/C][C]-0.069129[/C][C]-0.6738[/C][C]0.251043[/C][/ROW]
[ROW][C]16[/C][C]-0.066152[/C][C]-0.6448[/C][C]0.260316[/C][/ROW]
[ROW][C]17[/C][C]-0.019178[/C][C]-0.1869[/C][C]0.42606[/C][/ROW]
[ROW][C]18[/C][C]-0.114333[/C][C]-1.1144[/C][C]0.133963[/C][/ROW]
[ROW][C]19[/C][C]-0.008943[/C][C]-0.0872[/C][C]0.465363[/C][/ROW]
[ROW][C]20[/C][C]-0.074449[/C][C]-0.7256[/C][C]0.234923[/C][/ROW]
[ROW][C]21[/C][C]-0.033199[/C][C]-0.3236[/C][C]0.373481[/C][/ROW]
[ROW][C]22[/C][C]0.033919[/C][C]0.3306[/C][C]0.370837[/C][/ROW]
[ROW][C]23[/C][C]-0.031337[/C][C]-0.3054[/C][C]0.380353[/C][/ROW]
[ROW][C]24[/C][C]0.021303[/C][C]0.2076[/C][C]0.41798[/C][/ROW]
[ROW][C]25[/C][C]0.122161[/C][C]1.1907[/C][C]0.118373[/C][/ROW]
[ROW][C]26[/C][C]-0.088814[/C][C]-0.8656[/C][C]0.194432[/C][/ROW]
[ROW][C]27[/C][C]-0.136513[/C][C]-1.3306[/C][C]0.093258[/C][/ROW]
[ROW][C]28[/C][C]0.024587[/C][C]0.2396[/C][C]0.405562[/C][/ROW]
[ROW][C]29[/C][C]-0.032797[/C][C]-0.3197[/C][C]0.374962[/C][/ROW]
[ROW][C]30[/C][C]0.040237[/C][C]0.3922[/C][C]0.347902[/C][/ROW]
[ROW][C]31[/C][C]0.017213[/C][C]0.1678[/C][C]0.433558[/C][/ROW]
[ROW][C]32[/C][C]-0.083357[/C][C]-0.8125[/C][C]0.209279[/C][/ROW]
[ROW][C]33[/C][C]-0.062383[/C][C]-0.608[/C][C]0.272309[/C][/ROW]
[ROW][C]34[/C][C]-0.051666[/C][C]-0.5036[/C][C]0.307863[/C][/ROW]
[ROW][C]35[/C][C]0.030683[/C][C]0.2991[/C][C]0.382774[/C][/ROW]
[ROW][C]36[/C][C]0.144255[/C][C]1.406[/C][C]0.081489[/C][/ROW]
[ROW][C]37[/C][C]0.032104[/C][C]0.3129[/C][C]0.377516[/C][/ROW]
[ROW][C]38[/C][C]0.007507[/C][C]0.0732[/C][C]0.470914[/C][/ROW]
[ROW][C]39[/C][C]-0.010162[/C][C]-0.099[/C][C]0.460656[/C][/ROW]
[ROW][C]40[/C][C]-0.07296[/C][C]-0.7111[/C][C]0.239374[/C][/ROW]
[ROW][C]41[/C][C]0.12225[/C][C]1.1915[/C][C]0.118204[/C][/ROW]
[ROW][C]42[/C][C]0.020165[/C][C]0.1965[/C][C]0.422302[/C][/ROW]
[ROW][C]43[/C][C]-0.186409[/C][C]-1.8169[/C][C]0.036193[/C][/ROW]
[ROW][C]44[/C][C]-0.105695[/C][C]-1.0302[/C][C]0.15277[/C][/ROW]
[ROW][C]45[/C][C]-0.123995[/C][C]-1.2086[/C][C]0.114917[/C][/ROW]
[ROW][C]46[/C][C]-0.028742[/C][C]-0.2801[/C][C]0.389989[/C][/ROW]
[ROW][C]47[/C][C]0.070101[/C][C]0.6833[/C][C]0.248052[/C][/ROW]
[ROW][C]48[/C][C]0.084659[/C][C]0.8252[/C][C]0.205677[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=30957&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=30957&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
10.1201561.17110.122237
2-0.148425-1.44670.075641
30.0125440.12230.451474
4-0.093751-0.91380.181575
50.0225290.21960.413333
6-0.044802-0.43670.331669
7-0.071284-0.69480.244441
8-0.144852-1.41180.080631
9-0.128339-1.25090.107023
100.0581890.56720.285974
110.3720573.62640.000232
120.0700580.68280.248185
13-0.146213-1.42510.078702
140.113331.10460.136061
15-0.069129-0.67380.251043
16-0.066152-0.64480.260316
17-0.019178-0.18690.42606
18-0.114333-1.11440.133963
19-0.008943-0.08720.465363
20-0.074449-0.72560.234923
21-0.033199-0.32360.373481
220.0339190.33060.370837
23-0.031337-0.30540.380353
240.0213030.20760.41798
250.1221611.19070.118373
26-0.088814-0.86560.194432
27-0.136513-1.33060.093258
280.0245870.23960.405562
29-0.032797-0.31970.374962
300.0402370.39220.347902
310.0172130.16780.433558
32-0.083357-0.81250.209279
33-0.062383-0.6080.272309
34-0.051666-0.50360.307863
350.0306830.29910.382774
360.1442551.4060.081489
370.0321040.31290.377516
380.0075070.07320.470914
39-0.010162-0.0990.460656
40-0.07296-0.71110.239374
410.122251.19150.118204
420.0201650.19650.422302
43-0.186409-1.81690.036193
44-0.105695-1.03020.15277
45-0.123995-1.20860.114917
46-0.028742-0.28010.389989
470.0701010.68330.248052
480.0846590.82520.205677







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.1201561.17110.122237
2-0.165248-1.61060.055288
30.0554750.54070.29499
4-0.133899-1.30510.097507
50.0713420.69540.244265
6-0.105665-1.02990.152837
7-0.023139-0.22550.411024
8-0.187624-1.82870.035288
9-0.085679-0.83510.202881
100.0145280.14160.443847
110.3707743.61390.000242
12-0.062202-0.60630.272892
13-0.048856-0.47620.317518
140.10250.99910.160154
15-0.099178-0.96670.168083
16-0.063381-0.61780.269104
17-0.054889-0.5350.296954
18-0.052215-0.50890.30599
190.0983040.95820.170209
20-0.035207-0.34320.366121
21-0.069226-0.67470.250743
22-0.143461-1.39830.082642
23-0.039202-0.38210.351621
240.0483140.47090.319395
250.025630.24980.401636
26-0.13874-1.35230.08975
27-0.035411-0.34510.365373
280.0005870.00570.497725
29-0.002852-0.02780.488942
30-0.018831-0.18350.427383
31-0.012161-0.11850.45295
32-0.016814-0.16390.435086
33-0.057581-0.56120.28798
34-0.060676-0.59140.277829
35-0.081329-0.79270.214963
360.0803440.78310.217759
370.1156791.12750.131186
380.109241.06470.144845
39-0.12734-1.24120.108802
40-0.086935-0.84730.199469
410.1233431.20220.116137
42-0.071088-0.69290.245037
43-0.194987-1.90050.0302
44-0.084992-0.82840.204761
45-0.068474-0.66740.253066
460.0343290.33460.369333
47-0.092835-0.90480.183919
48-0.037464-0.36520.357905

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.120156 & 1.1711 & 0.122237 \tabularnewline
2 & -0.165248 & -1.6106 & 0.055288 \tabularnewline
3 & 0.055475 & 0.5407 & 0.29499 \tabularnewline
4 & -0.133899 & -1.3051 & 0.097507 \tabularnewline
5 & 0.071342 & 0.6954 & 0.244265 \tabularnewline
6 & -0.105665 & -1.0299 & 0.152837 \tabularnewline
7 & -0.023139 & -0.2255 & 0.411024 \tabularnewline
8 & -0.187624 & -1.8287 & 0.035288 \tabularnewline
9 & -0.085679 & -0.8351 & 0.202881 \tabularnewline
10 & 0.014528 & 0.1416 & 0.443847 \tabularnewline
11 & 0.370774 & 3.6139 & 0.000242 \tabularnewline
12 & -0.062202 & -0.6063 & 0.272892 \tabularnewline
13 & -0.048856 & -0.4762 & 0.317518 \tabularnewline
14 & 0.1025 & 0.9991 & 0.160154 \tabularnewline
15 & -0.099178 & -0.9667 & 0.168083 \tabularnewline
16 & -0.063381 & -0.6178 & 0.269104 \tabularnewline
17 & -0.054889 & -0.535 & 0.296954 \tabularnewline
18 & -0.052215 & -0.5089 & 0.30599 \tabularnewline
19 & 0.098304 & 0.9582 & 0.170209 \tabularnewline
20 & -0.035207 & -0.3432 & 0.366121 \tabularnewline
21 & -0.069226 & -0.6747 & 0.250743 \tabularnewline
22 & -0.143461 & -1.3983 & 0.082642 \tabularnewline
23 & -0.039202 & -0.3821 & 0.351621 \tabularnewline
24 & 0.048314 & 0.4709 & 0.319395 \tabularnewline
25 & 0.02563 & 0.2498 & 0.401636 \tabularnewline
26 & -0.13874 & -1.3523 & 0.08975 \tabularnewline
27 & -0.035411 & -0.3451 & 0.365373 \tabularnewline
28 & 0.000587 & 0.0057 & 0.497725 \tabularnewline
29 & -0.002852 & -0.0278 & 0.488942 \tabularnewline
30 & -0.018831 & -0.1835 & 0.427383 \tabularnewline
31 & -0.012161 & -0.1185 & 0.45295 \tabularnewline
32 & -0.016814 & -0.1639 & 0.435086 \tabularnewline
33 & -0.057581 & -0.5612 & 0.28798 \tabularnewline
34 & -0.060676 & -0.5914 & 0.277829 \tabularnewline
35 & -0.081329 & -0.7927 & 0.214963 \tabularnewline
36 & 0.080344 & 0.7831 & 0.217759 \tabularnewline
37 & 0.115679 & 1.1275 & 0.131186 \tabularnewline
38 & 0.10924 & 1.0647 & 0.144845 \tabularnewline
39 & -0.12734 & -1.2412 & 0.108802 \tabularnewline
40 & -0.086935 & -0.8473 & 0.199469 \tabularnewline
41 & 0.123343 & 1.2022 & 0.116137 \tabularnewline
42 & -0.071088 & -0.6929 & 0.245037 \tabularnewline
43 & -0.194987 & -1.9005 & 0.0302 \tabularnewline
44 & -0.084992 & -0.8284 & 0.204761 \tabularnewline
45 & -0.068474 & -0.6674 & 0.253066 \tabularnewline
46 & 0.034329 & 0.3346 & 0.369333 \tabularnewline
47 & -0.092835 & -0.9048 & 0.183919 \tabularnewline
48 & -0.037464 & -0.3652 & 0.357905 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=30957&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]0.120156[/C][C]1.1711[/C][C]0.122237[/C][/ROW]
[ROW][C]2[/C][C]-0.165248[/C][C]-1.6106[/C][C]0.055288[/C][/ROW]
[ROW][C]3[/C][C]0.055475[/C][C]0.5407[/C][C]0.29499[/C][/ROW]
[ROW][C]4[/C][C]-0.133899[/C][C]-1.3051[/C][C]0.097507[/C][/ROW]
[ROW][C]5[/C][C]0.071342[/C][C]0.6954[/C][C]0.244265[/C][/ROW]
[ROW][C]6[/C][C]-0.105665[/C][C]-1.0299[/C][C]0.152837[/C][/ROW]
[ROW][C]7[/C][C]-0.023139[/C][C]-0.2255[/C][C]0.411024[/C][/ROW]
[ROW][C]8[/C][C]-0.187624[/C][C]-1.8287[/C][C]0.035288[/C][/ROW]
[ROW][C]9[/C][C]-0.085679[/C][C]-0.8351[/C][C]0.202881[/C][/ROW]
[ROW][C]10[/C][C]0.014528[/C][C]0.1416[/C][C]0.443847[/C][/ROW]
[ROW][C]11[/C][C]0.370774[/C][C]3.6139[/C][C]0.000242[/C][/ROW]
[ROW][C]12[/C][C]-0.062202[/C][C]-0.6063[/C][C]0.272892[/C][/ROW]
[ROW][C]13[/C][C]-0.048856[/C][C]-0.4762[/C][C]0.317518[/C][/ROW]
[ROW][C]14[/C][C]0.1025[/C][C]0.9991[/C][C]0.160154[/C][/ROW]
[ROW][C]15[/C][C]-0.099178[/C][C]-0.9667[/C][C]0.168083[/C][/ROW]
[ROW][C]16[/C][C]-0.063381[/C][C]-0.6178[/C][C]0.269104[/C][/ROW]
[ROW][C]17[/C][C]-0.054889[/C][C]-0.535[/C][C]0.296954[/C][/ROW]
[ROW][C]18[/C][C]-0.052215[/C][C]-0.5089[/C][C]0.30599[/C][/ROW]
[ROW][C]19[/C][C]0.098304[/C][C]0.9582[/C][C]0.170209[/C][/ROW]
[ROW][C]20[/C][C]-0.035207[/C][C]-0.3432[/C][C]0.366121[/C][/ROW]
[ROW][C]21[/C][C]-0.069226[/C][C]-0.6747[/C][C]0.250743[/C][/ROW]
[ROW][C]22[/C][C]-0.143461[/C][C]-1.3983[/C][C]0.082642[/C][/ROW]
[ROW][C]23[/C][C]-0.039202[/C][C]-0.3821[/C][C]0.351621[/C][/ROW]
[ROW][C]24[/C][C]0.048314[/C][C]0.4709[/C][C]0.319395[/C][/ROW]
[ROW][C]25[/C][C]0.02563[/C][C]0.2498[/C][C]0.401636[/C][/ROW]
[ROW][C]26[/C][C]-0.13874[/C][C]-1.3523[/C][C]0.08975[/C][/ROW]
[ROW][C]27[/C][C]-0.035411[/C][C]-0.3451[/C][C]0.365373[/C][/ROW]
[ROW][C]28[/C][C]0.000587[/C][C]0.0057[/C][C]0.497725[/C][/ROW]
[ROW][C]29[/C][C]-0.002852[/C][C]-0.0278[/C][C]0.488942[/C][/ROW]
[ROW][C]30[/C][C]-0.018831[/C][C]-0.1835[/C][C]0.427383[/C][/ROW]
[ROW][C]31[/C][C]-0.012161[/C][C]-0.1185[/C][C]0.45295[/C][/ROW]
[ROW][C]32[/C][C]-0.016814[/C][C]-0.1639[/C][C]0.435086[/C][/ROW]
[ROW][C]33[/C][C]-0.057581[/C][C]-0.5612[/C][C]0.28798[/C][/ROW]
[ROW][C]34[/C][C]-0.060676[/C][C]-0.5914[/C][C]0.277829[/C][/ROW]
[ROW][C]35[/C][C]-0.081329[/C][C]-0.7927[/C][C]0.214963[/C][/ROW]
[ROW][C]36[/C][C]0.080344[/C][C]0.7831[/C][C]0.217759[/C][/ROW]
[ROW][C]37[/C][C]0.115679[/C][C]1.1275[/C][C]0.131186[/C][/ROW]
[ROW][C]38[/C][C]0.10924[/C][C]1.0647[/C][C]0.144845[/C][/ROW]
[ROW][C]39[/C][C]-0.12734[/C][C]-1.2412[/C][C]0.108802[/C][/ROW]
[ROW][C]40[/C][C]-0.086935[/C][C]-0.8473[/C][C]0.199469[/C][/ROW]
[ROW][C]41[/C][C]0.123343[/C][C]1.2022[/C][C]0.116137[/C][/ROW]
[ROW][C]42[/C][C]-0.071088[/C][C]-0.6929[/C][C]0.245037[/C][/ROW]
[ROW][C]43[/C][C]-0.194987[/C][C]-1.9005[/C][C]0.0302[/C][/ROW]
[ROW][C]44[/C][C]-0.084992[/C][C]-0.8284[/C][C]0.204761[/C][/ROW]
[ROW][C]45[/C][C]-0.068474[/C][C]-0.6674[/C][C]0.253066[/C][/ROW]
[ROW][C]46[/C][C]0.034329[/C][C]0.3346[/C][C]0.369333[/C][/ROW]
[ROW][C]47[/C][C]-0.092835[/C][C]-0.9048[/C][C]0.183919[/C][/ROW]
[ROW][C]48[/C][C]-0.037464[/C][C]-0.3652[/C][C]0.357905[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=30957&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=30957&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
10.1201561.17110.122237
2-0.165248-1.61060.055288
30.0554750.54070.29499
4-0.133899-1.30510.097507
50.0713420.69540.244265
6-0.105665-1.02990.152837
7-0.023139-0.22550.411024
8-0.187624-1.82870.035288
9-0.085679-0.83510.202881
100.0145280.14160.443847
110.3707743.61390.000242
12-0.062202-0.60630.272892
13-0.048856-0.47620.317518
140.10250.99910.160154
15-0.099178-0.96670.168083
16-0.063381-0.61780.269104
17-0.054889-0.5350.296954
18-0.052215-0.50890.30599
190.0983040.95820.170209
20-0.035207-0.34320.366121
21-0.069226-0.67470.250743
22-0.143461-1.39830.082642
23-0.039202-0.38210.351621
240.0483140.47090.319395
250.025630.24980.401636
26-0.13874-1.35230.08975
27-0.035411-0.34510.365373
280.0005870.00570.497725
29-0.002852-0.02780.488942
30-0.018831-0.18350.427383
31-0.012161-0.11850.45295
32-0.016814-0.16390.435086
33-0.057581-0.56120.28798
34-0.060676-0.59140.277829
35-0.081329-0.79270.214963
360.0803440.78310.217759
370.1156791.12750.131186
380.109241.06470.144845
39-0.12734-1.24120.108802
40-0.086935-0.84730.199469
410.1233431.20220.116137
42-0.071088-0.69290.245037
43-0.194987-1.90050.0302
44-0.084992-0.82840.204761
45-0.068474-0.66740.253066
460.0343290.33460.369333
47-0.092835-0.90480.183919
48-0.037464-0.36520.357905



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
R code (references can be found in the software module):
if (par1 == 'Default') {
par1 = 10*log10(length(x))
} else {
par1 <- as.numeric(par1)
}
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
par5 <- as.numeric(par5)
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='pic1.png')
racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
dev.off()
(myacf <- c(racf$acf))
(mypacf <- c(rpacf$acf))
lengthx <- length(x)
sqrtn <- sqrt(lengthx)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','ACF(k)','click here for more information about the Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 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')