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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, 23 Dec 2013 07:38:26 -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/2013/Dec/23/t1387802342p03yps7c5k43ivs.htm/, Retrieved Thu, 28 Mar 2024 17:13:49 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=232593, Retrieved Thu, 28 Mar 2024 17:13:49 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact149
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [] [2013-12-23 12:38:26] [f7a1a28113c41406cd39c3805ab775eb] [Current]
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Dataseries X:
 6 715 
 7 703 
 9 856 
 8 326 
 9 269 
 7 035 
 10 342 
 11 682 
 10 304 
 11 385 
 9 777 
 8 882 
 7 897 
 6 930 
 9 545 
 9 110 
 7 459 
 7 320 
 10 017 
 12 307 
 11 072 
 10 749 
 9 589 
 9 080 
 7 384 
 8 062 
 8 511 
 8 684 
 8 306 
 7 643 
 10 577 
 13 747 
 11 783 
 11 611 
 9 946 
 8 693 
 7 303 
 7 609 
 9 423 
 8 584 
 7 586 
 6 843 
 11 811 
 13 414 
 12 103 
 11 501 
 8 213 
 7 982 
 7 687 
 7 180 
 7 862 
 8 043 
 8 340 
 6 692 
 10 065 
 12 684 
 11 587 
 9 843 
 8 110 
 7 940 
 6 475 
 6 121 
 9 669 
 7 778 
 7 826 
 7 403 
 10 741 
 14 023 
 11 519 
 10 236 
 8 075 
 8 157 





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time5 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net
R Framework error message
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.

\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 & 5 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
R Framework error message & 
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
\tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=232593&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]5 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[ROW][C]R Framework error message[/C][C]
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=232593&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232593&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 time5 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net
R Framework error message
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.5511464.67667e-06
20.0767140.65090.258579
3-0.19625-1.66520.050106
4-0.286128-2.42790.008844
5-0.271716-2.30560.012009
6-0.421235-3.57430.000316
7-0.335881-2.850.002849
8-0.274947-2.3330.011223
9-0.175475-1.4890.070433
100.1405111.19230.118534
110.5082864.3132.5e-05
120.7470626.3390
130.4394233.72860.00019
140.0077870.06610.47375
15-0.231218-1.9620.026817
16-0.272038-2.30830.011928
17-0.249417-2.11640.018885
18-0.364608-3.09380.001406
19-0.29633-2.51440.007079
20-0.222403-1.88720.031585
21-0.099274-0.84240.201185
220.1245561.05690.147046
230.4126323.50134e-04
240.617895.2431e-06
250.3295422.79630.003312
26-0.049111-0.41670.339061
27-0.218255-1.8520.034066
28-0.212208-1.80060.037973
29-0.166684-1.41440.080783
30-0.266933-2.2650.013261
31-0.233452-1.98090.025711
32-0.1726-1.46460.073697
33-0.039742-0.33720.368464
340.1278171.08460.140866
350.308492.61760.005393
360.4254893.61040.000281
370.199841.69570.047132
38-0.042574-0.36130.359483
39-0.155133-1.31630.096117
40-0.124372-1.05530.147401
41-0.084227-0.71470.238557
42-0.180238-1.52940.065277
43-0.154296-1.30920.097308
44-0.098155-0.83290.203835
45-0.010351-0.08780.465128
460.0914710.77620.2201
470.181541.54040.063921
480.2522092.14010.017869

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.551146 & 4.6766 & 7e-06 \tabularnewline
2 & 0.076714 & 0.6509 & 0.258579 \tabularnewline
3 & -0.19625 & -1.6652 & 0.050106 \tabularnewline
4 & -0.286128 & -2.4279 & 0.008844 \tabularnewline
5 & -0.271716 & -2.3056 & 0.012009 \tabularnewline
6 & -0.421235 & -3.5743 & 0.000316 \tabularnewline
7 & -0.335881 & -2.85 & 0.002849 \tabularnewline
8 & -0.274947 & -2.333 & 0.011223 \tabularnewline
9 & -0.175475 & -1.489 & 0.070433 \tabularnewline
10 & 0.140511 & 1.1923 & 0.118534 \tabularnewline
11 & 0.508286 & 4.313 & 2.5e-05 \tabularnewline
12 & 0.747062 & 6.339 & 0 \tabularnewline
13 & 0.439423 & 3.7286 & 0.00019 \tabularnewline
14 & 0.007787 & 0.0661 & 0.47375 \tabularnewline
15 & -0.231218 & -1.962 & 0.026817 \tabularnewline
16 & -0.272038 & -2.3083 & 0.011928 \tabularnewline
17 & -0.249417 & -2.1164 & 0.018885 \tabularnewline
18 & -0.364608 & -3.0938 & 0.001406 \tabularnewline
19 & -0.29633 & -2.5144 & 0.007079 \tabularnewline
20 & -0.222403 & -1.8872 & 0.031585 \tabularnewline
21 & -0.099274 & -0.8424 & 0.201185 \tabularnewline
22 & 0.124556 & 1.0569 & 0.147046 \tabularnewline
23 & 0.412632 & 3.5013 & 4e-04 \tabularnewline
24 & 0.61789 & 5.243 & 1e-06 \tabularnewline
25 & 0.329542 & 2.7963 & 0.003312 \tabularnewline
26 & -0.049111 & -0.4167 & 0.339061 \tabularnewline
27 & -0.218255 & -1.852 & 0.034066 \tabularnewline
28 & -0.212208 & -1.8006 & 0.037973 \tabularnewline
29 & -0.166684 & -1.4144 & 0.080783 \tabularnewline
30 & -0.266933 & -2.265 & 0.013261 \tabularnewline
31 & -0.233452 & -1.9809 & 0.025711 \tabularnewline
32 & -0.1726 & -1.4646 & 0.073697 \tabularnewline
33 & -0.039742 & -0.3372 & 0.368464 \tabularnewline
34 & 0.127817 & 1.0846 & 0.140866 \tabularnewline
35 & 0.30849 & 2.6176 & 0.005393 \tabularnewline
36 & 0.425489 & 3.6104 & 0.000281 \tabularnewline
37 & 0.19984 & 1.6957 & 0.047132 \tabularnewline
38 & -0.042574 & -0.3613 & 0.359483 \tabularnewline
39 & -0.155133 & -1.3163 & 0.096117 \tabularnewline
40 & -0.124372 & -1.0553 & 0.147401 \tabularnewline
41 & -0.084227 & -0.7147 & 0.238557 \tabularnewline
42 & -0.180238 & -1.5294 & 0.065277 \tabularnewline
43 & -0.154296 & -1.3092 & 0.097308 \tabularnewline
44 & -0.098155 & -0.8329 & 0.203835 \tabularnewline
45 & -0.010351 & -0.0878 & 0.465128 \tabularnewline
46 & 0.091471 & 0.7762 & 0.2201 \tabularnewline
47 & 0.18154 & 1.5404 & 0.063921 \tabularnewline
48 & 0.252209 & 2.1401 & 0.017869 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232593&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]0.551146[/C][C]4.6766[/C][C]7e-06[/C][/ROW]
[ROW][C]2[/C][C]0.076714[/C][C]0.6509[/C][C]0.258579[/C][/ROW]
[ROW][C]3[/C][C]-0.19625[/C][C]-1.6652[/C][C]0.050106[/C][/ROW]
[ROW][C]4[/C][C]-0.286128[/C][C]-2.4279[/C][C]0.008844[/C][/ROW]
[ROW][C]5[/C][C]-0.271716[/C][C]-2.3056[/C][C]0.012009[/C][/ROW]
[ROW][C]6[/C][C]-0.421235[/C][C]-3.5743[/C][C]0.000316[/C][/ROW]
[ROW][C]7[/C][C]-0.335881[/C][C]-2.85[/C][C]0.002849[/C][/ROW]
[ROW][C]8[/C][C]-0.274947[/C][C]-2.333[/C][C]0.011223[/C][/ROW]
[ROW][C]9[/C][C]-0.175475[/C][C]-1.489[/C][C]0.070433[/C][/ROW]
[ROW][C]10[/C][C]0.140511[/C][C]1.1923[/C][C]0.118534[/C][/ROW]
[ROW][C]11[/C][C]0.508286[/C][C]4.313[/C][C]2.5e-05[/C][/ROW]
[ROW][C]12[/C][C]0.747062[/C][C]6.339[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.439423[/C][C]3.7286[/C][C]0.00019[/C][/ROW]
[ROW][C]14[/C][C]0.007787[/C][C]0.0661[/C][C]0.47375[/C][/ROW]
[ROW][C]15[/C][C]-0.231218[/C][C]-1.962[/C][C]0.026817[/C][/ROW]
[ROW][C]16[/C][C]-0.272038[/C][C]-2.3083[/C][C]0.011928[/C][/ROW]
[ROW][C]17[/C][C]-0.249417[/C][C]-2.1164[/C][C]0.018885[/C][/ROW]
[ROW][C]18[/C][C]-0.364608[/C][C]-3.0938[/C][C]0.001406[/C][/ROW]
[ROW][C]19[/C][C]-0.29633[/C][C]-2.5144[/C][C]0.007079[/C][/ROW]
[ROW][C]20[/C][C]-0.222403[/C][C]-1.8872[/C][C]0.031585[/C][/ROW]
[ROW][C]21[/C][C]-0.099274[/C][C]-0.8424[/C][C]0.201185[/C][/ROW]
[ROW][C]22[/C][C]0.124556[/C][C]1.0569[/C][C]0.147046[/C][/ROW]
[ROW][C]23[/C][C]0.412632[/C][C]3.5013[/C][C]4e-04[/C][/ROW]
[ROW][C]24[/C][C]0.61789[/C][C]5.243[/C][C]1e-06[/C][/ROW]
[ROW][C]25[/C][C]0.329542[/C][C]2.7963[/C][C]0.003312[/C][/ROW]
[ROW][C]26[/C][C]-0.049111[/C][C]-0.4167[/C][C]0.339061[/C][/ROW]
[ROW][C]27[/C][C]-0.218255[/C][C]-1.852[/C][C]0.034066[/C][/ROW]
[ROW][C]28[/C][C]-0.212208[/C][C]-1.8006[/C][C]0.037973[/C][/ROW]
[ROW][C]29[/C][C]-0.166684[/C][C]-1.4144[/C][C]0.080783[/C][/ROW]
[ROW][C]30[/C][C]-0.266933[/C][C]-2.265[/C][C]0.013261[/C][/ROW]
[ROW][C]31[/C][C]-0.233452[/C][C]-1.9809[/C][C]0.025711[/C][/ROW]
[ROW][C]32[/C][C]-0.1726[/C][C]-1.4646[/C][C]0.073697[/C][/ROW]
[ROW][C]33[/C][C]-0.039742[/C][C]-0.3372[/C][C]0.368464[/C][/ROW]
[ROW][C]34[/C][C]0.127817[/C][C]1.0846[/C][C]0.140866[/C][/ROW]
[ROW][C]35[/C][C]0.30849[/C][C]2.6176[/C][C]0.005393[/C][/ROW]
[ROW][C]36[/C][C]0.425489[/C][C]3.6104[/C][C]0.000281[/C][/ROW]
[ROW][C]37[/C][C]0.19984[/C][C]1.6957[/C][C]0.047132[/C][/ROW]
[ROW][C]38[/C][C]-0.042574[/C][C]-0.3613[/C][C]0.359483[/C][/ROW]
[ROW][C]39[/C][C]-0.155133[/C][C]-1.3163[/C][C]0.096117[/C][/ROW]
[ROW][C]40[/C][C]-0.124372[/C][C]-1.0553[/C][C]0.147401[/C][/ROW]
[ROW][C]41[/C][C]-0.084227[/C][C]-0.7147[/C][C]0.238557[/C][/ROW]
[ROW][C]42[/C][C]-0.180238[/C][C]-1.5294[/C][C]0.065277[/C][/ROW]
[ROW][C]43[/C][C]-0.154296[/C][C]-1.3092[/C][C]0.097308[/C][/ROW]
[ROW][C]44[/C][C]-0.098155[/C][C]-0.8329[/C][C]0.203835[/C][/ROW]
[ROW][C]45[/C][C]-0.010351[/C][C]-0.0878[/C][C]0.465128[/C][/ROW]
[ROW][C]46[/C][C]0.091471[/C][C]0.7762[/C][C]0.2201[/C][/ROW]
[ROW][C]47[/C][C]0.18154[/C][C]1.5404[/C][C]0.063921[/C][/ROW]
[ROW][C]48[/C][C]0.252209[/C][C]2.1401[/C][C]0.017869[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232593&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232593&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
10.5511464.67667e-06
20.0767140.65090.258579
3-0.19625-1.66520.050106
4-0.286128-2.42790.008844
5-0.271716-2.30560.012009
6-0.421235-3.57430.000316
7-0.335881-2.850.002849
8-0.274947-2.3330.011223
9-0.175475-1.4890.070433
100.1405111.19230.118534
110.5082864.3132.5e-05
120.7470626.3390
130.4394233.72860.00019
140.0077870.06610.47375
15-0.231218-1.9620.026817
16-0.272038-2.30830.011928
17-0.249417-2.11640.018885
18-0.364608-3.09380.001406
19-0.29633-2.51440.007079
20-0.222403-1.88720.031585
21-0.099274-0.84240.201185
220.1245561.05690.147046
230.4126323.50134e-04
240.617895.2431e-06
250.3295422.79630.003312
26-0.049111-0.41670.339061
27-0.218255-1.8520.034066
28-0.212208-1.80060.037973
29-0.166684-1.41440.080783
30-0.266933-2.2650.013261
31-0.233452-1.98090.025711
32-0.1726-1.46460.073697
33-0.039742-0.33720.368464
340.1278171.08460.140866
350.308492.61760.005393
360.4254893.61040.000281
370.199841.69570.047132
38-0.042574-0.36130.359483
39-0.155133-1.31630.096117
40-0.124372-1.05530.147401
41-0.084227-0.71470.238557
42-0.180238-1.52940.065277
43-0.154296-1.30920.097308
44-0.098155-0.83290.203835
45-0.010351-0.08780.465128
460.0914710.77620.2201
470.181541.54040.063921
480.2522092.14010.017869







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.5511464.67667e-06
2-0.326107-2.76710.003592
3-0.11666-0.98990.16277
4-0.109798-0.93170.17731
5-0.108799-0.92320.179496
6-0.447984-3.80130.000149
70.0403690.34250.36647
8-0.420784-3.57050.00032
9-0.222106-1.88460.031758
100.1054250.89460.187001
110.368883.13010.001262
120.2777032.35640.010589
13-0.098505-0.83580.203004
14-0.083343-0.70720.240867
15-0.154213-1.30850.097426
160.0168730.14320.443277
17-0.024846-0.21080.416808
18-0.062841-0.53320.29776
190.1395331.1840.120158
20-0.059921-0.50840.306349
21-0.05679-0.48190.315676
22-0.237388-2.01430.023857
230.0381270.32350.373621
24-0.004551-0.03860.484651
25-0.109423-0.92850.178129
26-0.043426-0.36850.356799
270.0611110.51850.302835
28-0.018864-0.16010.436637
29-0.012733-0.1080.45713
300.0042130.03580.48579
31-0.02629-0.22310.412052
32-0.091847-0.77940.219164
330.1252031.06240.145805
34-0.173259-1.47010.072939
35-0.056212-0.4770.317411
36-0.137543-1.16710.123513
37-0.035345-0.29990.382554
380.0168070.14260.443499
390.0845110.71710.237815
40-0.050647-0.42980.334329
41-0.036089-0.30620.380158
420.0065680.05570.477854
43-0.038631-0.32780.372009
44-0.040142-0.34060.367191
450.0233390.1980.421787
46-0.040439-0.34310.366248
47-0.02911-0.2470.402803
48-0.120224-1.02010.155539

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.551146 & 4.6766 & 7e-06 \tabularnewline
2 & -0.326107 & -2.7671 & 0.003592 \tabularnewline
3 & -0.11666 & -0.9899 & 0.16277 \tabularnewline
4 & -0.109798 & -0.9317 & 0.17731 \tabularnewline
5 & -0.108799 & -0.9232 & 0.179496 \tabularnewline
6 & -0.447984 & -3.8013 & 0.000149 \tabularnewline
7 & 0.040369 & 0.3425 & 0.36647 \tabularnewline
8 & -0.420784 & -3.5705 & 0.00032 \tabularnewline
9 & -0.222106 & -1.8846 & 0.031758 \tabularnewline
10 & 0.105425 & 0.8946 & 0.187001 \tabularnewline
11 & 0.36888 & 3.1301 & 0.001262 \tabularnewline
12 & 0.277703 & 2.3564 & 0.010589 \tabularnewline
13 & -0.098505 & -0.8358 & 0.203004 \tabularnewline
14 & -0.083343 & -0.7072 & 0.240867 \tabularnewline
15 & -0.154213 & -1.3085 & 0.097426 \tabularnewline
16 & 0.016873 & 0.1432 & 0.443277 \tabularnewline
17 & -0.024846 & -0.2108 & 0.416808 \tabularnewline
18 & -0.062841 & -0.5332 & 0.29776 \tabularnewline
19 & 0.139533 & 1.184 & 0.120158 \tabularnewline
20 & -0.059921 & -0.5084 & 0.306349 \tabularnewline
21 & -0.05679 & -0.4819 & 0.315676 \tabularnewline
22 & -0.237388 & -2.0143 & 0.023857 \tabularnewline
23 & 0.038127 & 0.3235 & 0.373621 \tabularnewline
24 & -0.004551 & -0.0386 & 0.484651 \tabularnewline
25 & -0.109423 & -0.9285 & 0.178129 \tabularnewline
26 & -0.043426 & -0.3685 & 0.356799 \tabularnewline
27 & 0.061111 & 0.5185 & 0.302835 \tabularnewline
28 & -0.018864 & -0.1601 & 0.436637 \tabularnewline
29 & -0.012733 & -0.108 & 0.45713 \tabularnewline
30 & 0.004213 & 0.0358 & 0.48579 \tabularnewline
31 & -0.02629 & -0.2231 & 0.412052 \tabularnewline
32 & -0.091847 & -0.7794 & 0.219164 \tabularnewline
33 & 0.125203 & 1.0624 & 0.145805 \tabularnewline
34 & -0.173259 & -1.4701 & 0.072939 \tabularnewline
35 & -0.056212 & -0.477 & 0.317411 \tabularnewline
36 & -0.137543 & -1.1671 & 0.123513 \tabularnewline
37 & -0.035345 & -0.2999 & 0.382554 \tabularnewline
38 & 0.016807 & 0.1426 & 0.443499 \tabularnewline
39 & 0.084511 & 0.7171 & 0.237815 \tabularnewline
40 & -0.050647 & -0.4298 & 0.334329 \tabularnewline
41 & -0.036089 & -0.3062 & 0.380158 \tabularnewline
42 & 0.006568 & 0.0557 & 0.477854 \tabularnewline
43 & -0.038631 & -0.3278 & 0.372009 \tabularnewline
44 & -0.040142 & -0.3406 & 0.367191 \tabularnewline
45 & 0.023339 & 0.198 & 0.421787 \tabularnewline
46 & -0.040439 & -0.3431 & 0.366248 \tabularnewline
47 & -0.02911 & -0.247 & 0.402803 \tabularnewline
48 & -0.120224 & -1.0201 & 0.155539 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232593&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]0.551146[/C][C]4.6766[/C][C]7e-06[/C][/ROW]
[ROW][C]2[/C][C]-0.326107[/C][C]-2.7671[/C][C]0.003592[/C][/ROW]
[ROW][C]3[/C][C]-0.11666[/C][C]-0.9899[/C][C]0.16277[/C][/ROW]
[ROW][C]4[/C][C]-0.109798[/C][C]-0.9317[/C][C]0.17731[/C][/ROW]
[ROW][C]5[/C][C]-0.108799[/C][C]-0.9232[/C][C]0.179496[/C][/ROW]
[ROW][C]6[/C][C]-0.447984[/C][C]-3.8013[/C][C]0.000149[/C][/ROW]
[ROW][C]7[/C][C]0.040369[/C][C]0.3425[/C][C]0.36647[/C][/ROW]
[ROW][C]8[/C][C]-0.420784[/C][C]-3.5705[/C][C]0.00032[/C][/ROW]
[ROW][C]9[/C][C]-0.222106[/C][C]-1.8846[/C][C]0.031758[/C][/ROW]
[ROW][C]10[/C][C]0.105425[/C][C]0.8946[/C][C]0.187001[/C][/ROW]
[ROW][C]11[/C][C]0.36888[/C][C]3.1301[/C][C]0.001262[/C][/ROW]
[ROW][C]12[/C][C]0.277703[/C][C]2.3564[/C][C]0.010589[/C][/ROW]
[ROW][C]13[/C][C]-0.098505[/C][C]-0.8358[/C][C]0.203004[/C][/ROW]
[ROW][C]14[/C][C]-0.083343[/C][C]-0.7072[/C][C]0.240867[/C][/ROW]
[ROW][C]15[/C][C]-0.154213[/C][C]-1.3085[/C][C]0.097426[/C][/ROW]
[ROW][C]16[/C][C]0.016873[/C][C]0.1432[/C][C]0.443277[/C][/ROW]
[ROW][C]17[/C][C]-0.024846[/C][C]-0.2108[/C][C]0.416808[/C][/ROW]
[ROW][C]18[/C][C]-0.062841[/C][C]-0.5332[/C][C]0.29776[/C][/ROW]
[ROW][C]19[/C][C]0.139533[/C][C]1.184[/C][C]0.120158[/C][/ROW]
[ROW][C]20[/C][C]-0.059921[/C][C]-0.5084[/C][C]0.306349[/C][/ROW]
[ROW][C]21[/C][C]-0.05679[/C][C]-0.4819[/C][C]0.315676[/C][/ROW]
[ROW][C]22[/C][C]-0.237388[/C][C]-2.0143[/C][C]0.023857[/C][/ROW]
[ROW][C]23[/C][C]0.038127[/C][C]0.3235[/C][C]0.373621[/C][/ROW]
[ROW][C]24[/C][C]-0.004551[/C][C]-0.0386[/C][C]0.484651[/C][/ROW]
[ROW][C]25[/C][C]-0.109423[/C][C]-0.9285[/C][C]0.178129[/C][/ROW]
[ROW][C]26[/C][C]-0.043426[/C][C]-0.3685[/C][C]0.356799[/C][/ROW]
[ROW][C]27[/C][C]0.061111[/C][C]0.5185[/C][C]0.302835[/C][/ROW]
[ROW][C]28[/C][C]-0.018864[/C][C]-0.1601[/C][C]0.436637[/C][/ROW]
[ROW][C]29[/C][C]-0.012733[/C][C]-0.108[/C][C]0.45713[/C][/ROW]
[ROW][C]30[/C][C]0.004213[/C][C]0.0358[/C][C]0.48579[/C][/ROW]
[ROW][C]31[/C][C]-0.02629[/C][C]-0.2231[/C][C]0.412052[/C][/ROW]
[ROW][C]32[/C][C]-0.091847[/C][C]-0.7794[/C][C]0.219164[/C][/ROW]
[ROW][C]33[/C][C]0.125203[/C][C]1.0624[/C][C]0.145805[/C][/ROW]
[ROW][C]34[/C][C]-0.173259[/C][C]-1.4701[/C][C]0.072939[/C][/ROW]
[ROW][C]35[/C][C]-0.056212[/C][C]-0.477[/C][C]0.317411[/C][/ROW]
[ROW][C]36[/C][C]-0.137543[/C][C]-1.1671[/C][C]0.123513[/C][/ROW]
[ROW][C]37[/C][C]-0.035345[/C][C]-0.2999[/C][C]0.382554[/C][/ROW]
[ROW][C]38[/C][C]0.016807[/C][C]0.1426[/C][C]0.443499[/C][/ROW]
[ROW][C]39[/C][C]0.084511[/C][C]0.7171[/C][C]0.237815[/C][/ROW]
[ROW][C]40[/C][C]-0.050647[/C][C]-0.4298[/C][C]0.334329[/C][/ROW]
[ROW][C]41[/C][C]-0.036089[/C][C]-0.3062[/C][C]0.380158[/C][/ROW]
[ROW][C]42[/C][C]0.006568[/C][C]0.0557[/C][C]0.477854[/C][/ROW]
[ROW][C]43[/C][C]-0.038631[/C][C]-0.3278[/C][C]0.372009[/C][/ROW]
[ROW][C]44[/C][C]-0.040142[/C][C]-0.3406[/C][C]0.367191[/C][/ROW]
[ROW][C]45[/C][C]0.023339[/C][C]0.198[/C][C]0.421787[/C][/ROW]
[ROW][C]46[/C][C]-0.040439[/C][C]-0.3431[/C][C]0.366248[/C][/ROW]
[ROW][C]47[/C][C]-0.02911[/C][C]-0.247[/C][C]0.402803[/C][/ROW]
[ROW][C]48[/C][C]-0.120224[/C][C]-1.0201[/C][C]0.155539[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232593&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232593&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
10.5511464.67667e-06
2-0.326107-2.76710.003592
3-0.11666-0.98990.16277
4-0.109798-0.93170.17731
5-0.108799-0.92320.179496
6-0.447984-3.80130.000149
70.0403690.34250.36647
8-0.420784-3.57050.00032
9-0.222106-1.88460.031758
100.1054250.89460.187001
110.368883.13010.001262
120.2777032.35640.010589
13-0.098505-0.83580.203004
14-0.083343-0.70720.240867
15-0.154213-1.30850.097426
160.0168730.14320.443277
17-0.024846-0.21080.416808
18-0.062841-0.53320.29776
190.1395331.1840.120158
20-0.059921-0.50840.306349
21-0.05679-0.48190.315676
22-0.237388-2.01430.023857
230.0381270.32350.373621
24-0.004551-0.03860.484651
25-0.109423-0.92850.178129
26-0.043426-0.36850.356799
270.0611110.51850.302835
28-0.018864-0.16010.436637
29-0.012733-0.1080.45713
300.0042130.03580.48579
31-0.02629-0.22310.412052
32-0.091847-0.77940.219164
330.1252031.06240.145805
34-0.173259-1.47010.072939
35-0.056212-0.4770.317411
36-0.137543-1.16710.123513
37-0.035345-0.29990.382554
380.0168070.14260.443499
390.0845110.71710.237815
40-0.050647-0.42980.334329
41-0.036089-0.30620.380158
420.0065680.05570.477854
43-0.038631-0.32780.372009
44-0.040142-0.34060.367191
450.0233390.1980.421787
46-0.040439-0.34310.366248
47-0.02911-0.2470.402803
48-0.120224-1.02010.155539



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):
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')