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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationSun, 14 Nov 2010 22:28:10 +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/Nov/14/t1289773630jzasblbv8kpupp6.htm/, Retrieved Sun, 16 Jun 2024 22:22:07 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=94664, Retrieved Sun, 16 Jun 2024 22:22:07 +0000
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Original text written by user:Mijn eigen cijferreeks
IsPrivate?No (this computation is public)
User-defined keywordsKDGP2W11
Estimated Impact138
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Opgave 6 Stap 2] [2010-11-14 22:28:10] [cf38f7df7be58a8c28b053c2e6c1601e] [Current]
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Dataseries X:
361,58
363,19
363,61
364,14
365,51
365,51
365,5
365,5
364,59
364,63
364,54
363,67
365,22
369,05
370,45
370,46
370,46
370,58
370,58
370,22
370,21
370,29
370,29
370,2
370,2
372,55
374,51
375,58
375,75
375,75
375,75
375,69
375,76
377,5
377,51
377,74
369,82
373,1
374,55
375,01
374,81
375,31
375,31
375,39
375,59
376,26
377,18
377,26
377,26
381,87
387,09
387,14
388,78
389,16
389,16
389,42
389,49
388,97
388,97
389,09
389,09
391,76
390,96
391,76
392,8
393,06
393,06
393,26
393,87
394,47
394,57
394,57
394,57
399,57
406,13
407,03
409,46
409,9
409,9
410,14
410,54
410,69
410,79
410,97




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 2 seconds \tabularnewline
R Server & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=94664&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=94664&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=94664&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 time2 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.1526011.39030.084083
2-0.011123-0.10130.459764
3-0.043048-0.39220.347965
4-0.018444-0.1680.433483
5-0.071258-0.64920.259002
6-0.060955-0.55530.290083
7-0.092819-0.84560.200098
8-0.053607-0.48840.313284
9-0.066384-0.60480.273485
10-0.117246-1.06820.144272
110.0156850.14290.443358
120.2364972.15460.017046
130.0162190.14780.441444
14-0.175877-1.60230.056443
150.0170320.15520.438532
16-0.085295-0.77710.219662
17-0.047413-0.4320.333449
18-0.057992-0.52830.29934
19-0.038816-0.35360.362258
20-0.01402-0.12770.449335
210.0237880.21670.414479
22-0.033559-0.30570.380286
230.0261350.23810.406196
240.3490963.18040.001034
250.13211.20350.116105
260.078230.71270.239011
270.00690.06290.475014
280.0088380.08050.468011
29-0.051068-0.46520.321486
30-0.041211-0.37540.354143
31-0.044241-0.40310.343971
32-0.088635-0.80750.210843
33-0.054953-0.50060.308972
34-0.032114-0.29260.385291
350.0053380.04860.480667
360.2066471.88260.031626
37-0.001017-0.00930.496314
38-0.211514-1.9270.028702
39-0.026737-0.24360.404075
40-0.077772-0.70850.240299
41-0.033668-0.30670.379909
42-0.055191-0.50280.308215
43-0.031949-0.29110.385863
44-0.076769-0.69940.24313
45-0.03658-0.33330.369891
460.0153440.13980.444581
470.0566570.51620.303554
480.1327991.20990.114884

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.152601 & 1.3903 & 0.084083 \tabularnewline
2 & -0.011123 & -0.1013 & 0.459764 \tabularnewline
3 & -0.043048 & -0.3922 & 0.347965 \tabularnewline
4 & -0.018444 & -0.168 & 0.433483 \tabularnewline
5 & -0.071258 & -0.6492 & 0.259002 \tabularnewline
6 & -0.060955 & -0.5553 & 0.290083 \tabularnewline
7 & -0.092819 & -0.8456 & 0.200098 \tabularnewline
8 & -0.053607 & -0.4884 & 0.313284 \tabularnewline
9 & -0.066384 & -0.6048 & 0.273485 \tabularnewline
10 & -0.117246 & -1.0682 & 0.144272 \tabularnewline
11 & 0.015685 & 0.1429 & 0.443358 \tabularnewline
12 & 0.236497 & 2.1546 & 0.017046 \tabularnewline
13 & 0.016219 & 0.1478 & 0.441444 \tabularnewline
14 & -0.175877 & -1.6023 & 0.056443 \tabularnewline
15 & 0.017032 & 0.1552 & 0.438532 \tabularnewline
16 & -0.085295 & -0.7771 & 0.219662 \tabularnewline
17 & -0.047413 & -0.432 & 0.333449 \tabularnewline
18 & -0.057992 & -0.5283 & 0.29934 \tabularnewline
19 & -0.038816 & -0.3536 & 0.362258 \tabularnewline
20 & -0.01402 & -0.1277 & 0.449335 \tabularnewline
21 & 0.023788 & 0.2167 & 0.414479 \tabularnewline
22 & -0.033559 & -0.3057 & 0.380286 \tabularnewline
23 & 0.026135 & 0.2381 & 0.406196 \tabularnewline
24 & 0.349096 & 3.1804 & 0.001034 \tabularnewline
25 & 0.1321 & 1.2035 & 0.116105 \tabularnewline
26 & 0.07823 & 0.7127 & 0.239011 \tabularnewline
27 & 0.0069 & 0.0629 & 0.475014 \tabularnewline
28 & 0.008838 & 0.0805 & 0.468011 \tabularnewline
29 & -0.051068 & -0.4652 & 0.321486 \tabularnewline
30 & -0.041211 & -0.3754 & 0.354143 \tabularnewline
31 & -0.044241 & -0.4031 & 0.343971 \tabularnewline
32 & -0.088635 & -0.8075 & 0.210843 \tabularnewline
33 & -0.054953 & -0.5006 & 0.308972 \tabularnewline
34 & -0.032114 & -0.2926 & 0.385291 \tabularnewline
35 & 0.005338 & 0.0486 & 0.480667 \tabularnewline
36 & 0.206647 & 1.8826 & 0.031626 \tabularnewline
37 & -0.001017 & -0.0093 & 0.496314 \tabularnewline
38 & -0.211514 & -1.927 & 0.028702 \tabularnewline
39 & -0.026737 & -0.2436 & 0.404075 \tabularnewline
40 & -0.077772 & -0.7085 & 0.240299 \tabularnewline
41 & -0.033668 & -0.3067 & 0.379909 \tabularnewline
42 & -0.055191 & -0.5028 & 0.308215 \tabularnewline
43 & -0.031949 & -0.2911 & 0.385863 \tabularnewline
44 & -0.076769 & -0.6994 & 0.24313 \tabularnewline
45 & -0.03658 & -0.3333 & 0.369891 \tabularnewline
46 & 0.015344 & 0.1398 & 0.444581 \tabularnewline
47 & 0.056657 & 0.5162 & 0.303554 \tabularnewline
48 & 0.132799 & 1.2099 & 0.114884 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=94664&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]0.152601[/C][C]1.3903[/C][C]0.084083[/C][/ROW]
[ROW][C]2[/C][C]-0.011123[/C][C]-0.1013[/C][C]0.459764[/C][/ROW]
[ROW][C]3[/C][C]-0.043048[/C][C]-0.3922[/C][C]0.347965[/C][/ROW]
[ROW][C]4[/C][C]-0.018444[/C][C]-0.168[/C][C]0.433483[/C][/ROW]
[ROW][C]5[/C][C]-0.071258[/C][C]-0.6492[/C][C]0.259002[/C][/ROW]
[ROW][C]6[/C][C]-0.060955[/C][C]-0.5553[/C][C]0.290083[/C][/ROW]
[ROW][C]7[/C][C]-0.092819[/C][C]-0.8456[/C][C]0.200098[/C][/ROW]
[ROW][C]8[/C][C]-0.053607[/C][C]-0.4884[/C][C]0.313284[/C][/ROW]
[ROW][C]9[/C][C]-0.066384[/C][C]-0.6048[/C][C]0.273485[/C][/ROW]
[ROW][C]10[/C][C]-0.117246[/C][C]-1.0682[/C][C]0.144272[/C][/ROW]
[ROW][C]11[/C][C]0.015685[/C][C]0.1429[/C][C]0.443358[/C][/ROW]
[ROW][C]12[/C][C]0.236497[/C][C]2.1546[/C][C]0.017046[/C][/ROW]
[ROW][C]13[/C][C]0.016219[/C][C]0.1478[/C][C]0.441444[/C][/ROW]
[ROW][C]14[/C][C]-0.175877[/C][C]-1.6023[/C][C]0.056443[/C][/ROW]
[ROW][C]15[/C][C]0.017032[/C][C]0.1552[/C][C]0.438532[/C][/ROW]
[ROW][C]16[/C][C]-0.085295[/C][C]-0.7771[/C][C]0.219662[/C][/ROW]
[ROW][C]17[/C][C]-0.047413[/C][C]-0.432[/C][C]0.333449[/C][/ROW]
[ROW][C]18[/C][C]-0.057992[/C][C]-0.5283[/C][C]0.29934[/C][/ROW]
[ROW][C]19[/C][C]-0.038816[/C][C]-0.3536[/C][C]0.362258[/C][/ROW]
[ROW][C]20[/C][C]-0.01402[/C][C]-0.1277[/C][C]0.449335[/C][/ROW]
[ROW][C]21[/C][C]0.023788[/C][C]0.2167[/C][C]0.414479[/C][/ROW]
[ROW][C]22[/C][C]-0.033559[/C][C]-0.3057[/C][C]0.380286[/C][/ROW]
[ROW][C]23[/C][C]0.026135[/C][C]0.2381[/C][C]0.406196[/C][/ROW]
[ROW][C]24[/C][C]0.349096[/C][C]3.1804[/C][C]0.001034[/C][/ROW]
[ROW][C]25[/C][C]0.1321[/C][C]1.2035[/C][C]0.116105[/C][/ROW]
[ROW][C]26[/C][C]0.07823[/C][C]0.7127[/C][C]0.239011[/C][/ROW]
[ROW][C]27[/C][C]0.0069[/C][C]0.0629[/C][C]0.475014[/C][/ROW]
[ROW][C]28[/C][C]0.008838[/C][C]0.0805[/C][C]0.468011[/C][/ROW]
[ROW][C]29[/C][C]-0.051068[/C][C]-0.4652[/C][C]0.321486[/C][/ROW]
[ROW][C]30[/C][C]-0.041211[/C][C]-0.3754[/C][C]0.354143[/C][/ROW]
[ROW][C]31[/C][C]-0.044241[/C][C]-0.4031[/C][C]0.343971[/C][/ROW]
[ROW][C]32[/C][C]-0.088635[/C][C]-0.8075[/C][C]0.210843[/C][/ROW]
[ROW][C]33[/C][C]-0.054953[/C][C]-0.5006[/C][C]0.308972[/C][/ROW]
[ROW][C]34[/C][C]-0.032114[/C][C]-0.2926[/C][C]0.385291[/C][/ROW]
[ROW][C]35[/C][C]0.005338[/C][C]0.0486[/C][C]0.480667[/C][/ROW]
[ROW][C]36[/C][C]0.206647[/C][C]1.8826[/C][C]0.031626[/C][/ROW]
[ROW][C]37[/C][C]-0.001017[/C][C]-0.0093[/C][C]0.496314[/C][/ROW]
[ROW][C]38[/C][C]-0.211514[/C][C]-1.927[/C][C]0.028702[/C][/ROW]
[ROW][C]39[/C][C]-0.026737[/C][C]-0.2436[/C][C]0.404075[/C][/ROW]
[ROW][C]40[/C][C]-0.077772[/C][C]-0.7085[/C][C]0.240299[/C][/ROW]
[ROW][C]41[/C][C]-0.033668[/C][C]-0.3067[/C][C]0.379909[/C][/ROW]
[ROW][C]42[/C][C]-0.055191[/C][C]-0.5028[/C][C]0.308215[/C][/ROW]
[ROW][C]43[/C][C]-0.031949[/C][C]-0.2911[/C][C]0.385863[/C][/ROW]
[ROW][C]44[/C][C]-0.076769[/C][C]-0.6994[/C][C]0.24313[/C][/ROW]
[ROW][C]45[/C][C]-0.03658[/C][C]-0.3333[/C][C]0.369891[/C][/ROW]
[ROW][C]46[/C][C]0.015344[/C][C]0.1398[/C][C]0.444581[/C][/ROW]
[ROW][C]47[/C][C]0.056657[/C][C]0.5162[/C][C]0.303554[/C][/ROW]
[ROW][C]48[/C][C]0.132799[/C][C]1.2099[/C][C]0.114884[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=94664&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=94664&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
10.1526011.39030.084083
2-0.011123-0.10130.459764
3-0.043048-0.39220.347965
4-0.018444-0.1680.433483
5-0.071258-0.64920.259002
6-0.060955-0.55530.290083
7-0.092819-0.84560.200098
8-0.053607-0.48840.313284
9-0.066384-0.60480.273485
10-0.117246-1.06820.144272
110.0156850.14290.443358
120.2364972.15460.017046
130.0162190.14780.441444
14-0.175877-1.60230.056443
150.0170320.15520.438532
16-0.085295-0.77710.219662
17-0.047413-0.4320.333449
18-0.057992-0.52830.29934
19-0.038816-0.35360.362258
20-0.01402-0.12770.449335
210.0237880.21670.414479
22-0.033559-0.30570.380286
230.0261350.23810.406196
240.3490963.18040.001034
250.13211.20350.116105
260.078230.71270.239011
270.00690.06290.475014
280.0088380.08050.468011
29-0.051068-0.46520.321486
30-0.041211-0.37540.354143
31-0.044241-0.40310.343971
32-0.088635-0.80750.210843
33-0.054953-0.50060.308972
34-0.032114-0.29260.385291
350.0053380.04860.480667
360.2066471.88260.031626
37-0.001017-0.00930.496314
38-0.211514-1.9270.028702
39-0.026737-0.24360.404075
40-0.077772-0.70850.240299
41-0.033668-0.30670.379909
42-0.055191-0.50280.308215
43-0.031949-0.29110.385863
44-0.076769-0.69940.24313
45-0.03658-0.33330.369891
460.0153440.13980.444581
470.0566570.51620.303554
480.1327991.20990.114884







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.1526011.39030.084083
2-0.035231-0.3210.374521
3-0.036816-0.33540.369081
4-0.006578-0.05990.476178
5-0.070875-0.64570.260127
6-0.042506-0.38720.349783
7-0.083301-0.75890.225028
8-0.036751-0.33480.369304
9-0.065153-0.59360.277208
10-0.118977-1.08390.140768
110.0344360.31370.377259
120.2137151.9470.027456
13-0.07756-0.70660.240894
14-0.19928-1.81550.036527
150.0723410.65910.255843
16-0.127517-1.16170.124336
17-0.039818-0.36280.358855
18-0.044246-0.40310.343957
19-0.040518-0.36910.356483
20-0.024277-0.22120.412751
210.0060880.05550.477951
22-0.021259-0.19370.423451
23-0.026802-0.24420.403847
240.2812252.56210.006106
250.0409150.37280.355141
260.1201151.09430.138494
27-0.036159-0.32940.371333
280.0332280.30270.381429
290.0138480.12620.449955
30-0.031378-0.28590.387845
310.0550130.50120.308783
32-0.100651-0.9170.180907
330.0078080.07110.471731
340.0549680.50080.308926
350.0326330.29730.383491
360.0919460.83770.20231
37-0.088627-0.80740.210862
38-0.170712-1.55530.061844
390.023070.21020.417021
40-0.025232-0.22990.409376
41-0.030309-0.27610.391568
42-0.007043-0.06420.474497
43-0.037449-0.34120.366918
44-0.059627-0.54320.294216
45-0.056244-0.51240.304865
46-0.001045-0.00950.496214
470.0032510.02960.488221
48-0.09005-0.82040.207171

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.152601 & 1.3903 & 0.084083 \tabularnewline
2 & -0.035231 & -0.321 & 0.374521 \tabularnewline
3 & -0.036816 & -0.3354 & 0.369081 \tabularnewline
4 & -0.006578 & -0.0599 & 0.476178 \tabularnewline
5 & -0.070875 & -0.6457 & 0.260127 \tabularnewline
6 & -0.042506 & -0.3872 & 0.349783 \tabularnewline
7 & -0.083301 & -0.7589 & 0.225028 \tabularnewline
8 & -0.036751 & -0.3348 & 0.369304 \tabularnewline
9 & -0.065153 & -0.5936 & 0.277208 \tabularnewline
10 & -0.118977 & -1.0839 & 0.140768 \tabularnewline
11 & 0.034436 & 0.3137 & 0.377259 \tabularnewline
12 & 0.213715 & 1.947 & 0.027456 \tabularnewline
13 & -0.07756 & -0.7066 & 0.240894 \tabularnewline
14 & -0.19928 & -1.8155 & 0.036527 \tabularnewline
15 & 0.072341 & 0.6591 & 0.255843 \tabularnewline
16 & -0.127517 & -1.1617 & 0.124336 \tabularnewline
17 & -0.039818 & -0.3628 & 0.358855 \tabularnewline
18 & -0.044246 & -0.4031 & 0.343957 \tabularnewline
19 & -0.040518 & -0.3691 & 0.356483 \tabularnewline
20 & -0.024277 & -0.2212 & 0.412751 \tabularnewline
21 & 0.006088 & 0.0555 & 0.477951 \tabularnewline
22 & -0.021259 & -0.1937 & 0.423451 \tabularnewline
23 & -0.026802 & -0.2442 & 0.403847 \tabularnewline
24 & 0.281225 & 2.5621 & 0.006106 \tabularnewline
25 & 0.040915 & 0.3728 & 0.355141 \tabularnewline
26 & 0.120115 & 1.0943 & 0.138494 \tabularnewline
27 & -0.036159 & -0.3294 & 0.371333 \tabularnewline
28 & 0.033228 & 0.3027 & 0.381429 \tabularnewline
29 & 0.013848 & 0.1262 & 0.449955 \tabularnewline
30 & -0.031378 & -0.2859 & 0.387845 \tabularnewline
31 & 0.055013 & 0.5012 & 0.308783 \tabularnewline
32 & -0.100651 & -0.917 & 0.180907 \tabularnewline
33 & 0.007808 & 0.0711 & 0.471731 \tabularnewline
34 & 0.054968 & 0.5008 & 0.308926 \tabularnewline
35 & 0.032633 & 0.2973 & 0.383491 \tabularnewline
36 & 0.091946 & 0.8377 & 0.20231 \tabularnewline
37 & -0.088627 & -0.8074 & 0.210862 \tabularnewline
38 & -0.170712 & -1.5553 & 0.061844 \tabularnewline
39 & 0.02307 & 0.2102 & 0.417021 \tabularnewline
40 & -0.025232 & -0.2299 & 0.409376 \tabularnewline
41 & -0.030309 & -0.2761 & 0.391568 \tabularnewline
42 & -0.007043 & -0.0642 & 0.474497 \tabularnewline
43 & -0.037449 & -0.3412 & 0.366918 \tabularnewline
44 & -0.059627 & -0.5432 & 0.294216 \tabularnewline
45 & -0.056244 & -0.5124 & 0.304865 \tabularnewline
46 & -0.001045 & -0.0095 & 0.496214 \tabularnewline
47 & 0.003251 & 0.0296 & 0.488221 \tabularnewline
48 & -0.09005 & -0.8204 & 0.207171 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=94664&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]0.152601[/C][C]1.3903[/C][C]0.084083[/C][/ROW]
[ROW][C]2[/C][C]-0.035231[/C][C]-0.321[/C][C]0.374521[/C][/ROW]
[ROW][C]3[/C][C]-0.036816[/C][C]-0.3354[/C][C]0.369081[/C][/ROW]
[ROW][C]4[/C][C]-0.006578[/C][C]-0.0599[/C][C]0.476178[/C][/ROW]
[ROW][C]5[/C][C]-0.070875[/C][C]-0.6457[/C][C]0.260127[/C][/ROW]
[ROW][C]6[/C][C]-0.042506[/C][C]-0.3872[/C][C]0.349783[/C][/ROW]
[ROW][C]7[/C][C]-0.083301[/C][C]-0.7589[/C][C]0.225028[/C][/ROW]
[ROW][C]8[/C][C]-0.036751[/C][C]-0.3348[/C][C]0.369304[/C][/ROW]
[ROW][C]9[/C][C]-0.065153[/C][C]-0.5936[/C][C]0.277208[/C][/ROW]
[ROW][C]10[/C][C]-0.118977[/C][C]-1.0839[/C][C]0.140768[/C][/ROW]
[ROW][C]11[/C][C]0.034436[/C][C]0.3137[/C][C]0.377259[/C][/ROW]
[ROW][C]12[/C][C]0.213715[/C][C]1.947[/C][C]0.027456[/C][/ROW]
[ROW][C]13[/C][C]-0.07756[/C][C]-0.7066[/C][C]0.240894[/C][/ROW]
[ROW][C]14[/C][C]-0.19928[/C][C]-1.8155[/C][C]0.036527[/C][/ROW]
[ROW][C]15[/C][C]0.072341[/C][C]0.6591[/C][C]0.255843[/C][/ROW]
[ROW][C]16[/C][C]-0.127517[/C][C]-1.1617[/C][C]0.124336[/C][/ROW]
[ROW][C]17[/C][C]-0.039818[/C][C]-0.3628[/C][C]0.358855[/C][/ROW]
[ROW][C]18[/C][C]-0.044246[/C][C]-0.4031[/C][C]0.343957[/C][/ROW]
[ROW][C]19[/C][C]-0.040518[/C][C]-0.3691[/C][C]0.356483[/C][/ROW]
[ROW][C]20[/C][C]-0.024277[/C][C]-0.2212[/C][C]0.412751[/C][/ROW]
[ROW][C]21[/C][C]0.006088[/C][C]0.0555[/C][C]0.477951[/C][/ROW]
[ROW][C]22[/C][C]-0.021259[/C][C]-0.1937[/C][C]0.423451[/C][/ROW]
[ROW][C]23[/C][C]-0.026802[/C][C]-0.2442[/C][C]0.403847[/C][/ROW]
[ROW][C]24[/C][C]0.281225[/C][C]2.5621[/C][C]0.006106[/C][/ROW]
[ROW][C]25[/C][C]0.040915[/C][C]0.3728[/C][C]0.355141[/C][/ROW]
[ROW][C]26[/C][C]0.120115[/C][C]1.0943[/C][C]0.138494[/C][/ROW]
[ROW][C]27[/C][C]-0.036159[/C][C]-0.3294[/C][C]0.371333[/C][/ROW]
[ROW][C]28[/C][C]0.033228[/C][C]0.3027[/C][C]0.381429[/C][/ROW]
[ROW][C]29[/C][C]0.013848[/C][C]0.1262[/C][C]0.449955[/C][/ROW]
[ROW][C]30[/C][C]-0.031378[/C][C]-0.2859[/C][C]0.387845[/C][/ROW]
[ROW][C]31[/C][C]0.055013[/C][C]0.5012[/C][C]0.308783[/C][/ROW]
[ROW][C]32[/C][C]-0.100651[/C][C]-0.917[/C][C]0.180907[/C][/ROW]
[ROW][C]33[/C][C]0.007808[/C][C]0.0711[/C][C]0.471731[/C][/ROW]
[ROW][C]34[/C][C]0.054968[/C][C]0.5008[/C][C]0.308926[/C][/ROW]
[ROW][C]35[/C][C]0.032633[/C][C]0.2973[/C][C]0.383491[/C][/ROW]
[ROW][C]36[/C][C]0.091946[/C][C]0.8377[/C][C]0.20231[/C][/ROW]
[ROW][C]37[/C][C]-0.088627[/C][C]-0.8074[/C][C]0.210862[/C][/ROW]
[ROW][C]38[/C][C]-0.170712[/C][C]-1.5553[/C][C]0.061844[/C][/ROW]
[ROW][C]39[/C][C]0.02307[/C][C]0.2102[/C][C]0.417021[/C][/ROW]
[ROW][C]40[/C][C]-0.025232[/C][C]-0.2299[/C][C]0.409376[/C][/ROW]
[ROW][C]41[/C][C]-0.030309[/C][C]-0.2761[/C][C]0.391568[/C][/ROW]
[ROW][C]42[/C][C]-0.007043[/C][C]-0.0642[/C][C]0.474497[/C][/ROW]
[ROW][C]43[/C][C]-0.037449[/C][C]-0.3412[/C][C]0.366918[/C][/ROW]
[ROW][C]44[/C][C]-0.059627[/C][C]-0.5432[/C][C]0.294216[/C][/ROW]
[ROW][C]45[/C][C]-0.056244[/C][C]-0.5124[/C][C]0.304865[/C][/ROW]
[ROW][C]46[/C][C]-0.001045[/C][C]-0.0095[/C][C]0.496214[/C][/ROW]
[ROW][C]47[/C][C]0.003251[/C][C]0.0296[/C][C]0.488221[/C][/ROW]
[ROW][C]48[/C][C]-0.09005[/C][C]-0.8204[/C][C]0.207171[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=94664&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=94664&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
10.1526011.39030.084083
2-0.035231-0.3210.374521
3-0.036816-0.33540.369081
4-0.006578-0.05990.476178
5-0.070875-0.64570.260127
6-0.042506-0.38720.349783
7-0.083301-0.75890.225028
8-0.036751-0.33480.369304
9-0.065153-0.59360.277208
10-0.118977-1.08390.140768
110.0344360.31370.377259
120.2137151.9470.027456
13-0.07756-0.70660.240894
14-0.19928-1.81550.036527
150.0723410.65910.255843
16-0.127517-1.16170.124336
17-0.039818-0.36280.358855
18-0.044246-0.40310.343957
19-0.040518-0.36910.356483
20-0.024277-0.22120.412751
210.0060880.05550.477951
22-0.021259-0.19370.423451
23-0.026802-0.24420.403847
240.2812252.56210.006106
250.0409150.37280.355141
260.1201151.09430.138494
27-0.036159-0.32940.371333
280.0332280.30270.381429
290.0138480.12620.449955
30-0.031378-0.28590.387845
310.0550130.50120.308783
32-0.100651-0.9170.180907
330.0078080.07110.471731
340.0549680.50080.308926
350.0326330.29730.383491
360.0919460.83770.20231
37-0.088627-0.80740.210862
38-0.170712-1.55530.061844
390.023070.21020.417021
40-0.025232-0.22990.409376
41-0.030309-0.27610.391568
42-0.007043-0.06420.474497
43-0.037449-0.34120.366918
44-0.059627-0.54320.294216
45-0.056244-0.51240.304865
46-0.001045-0.00950.496214
470.0032510.02960.488221
48-0.09005-0.82040.207171



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 1 ; par6 = White Noise ; par7 = 0.95 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 1 ; 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')