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Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationMon, 03 May 2010 11:20:44 +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/t1272885818qo9yfqez2c07ev2.htm/, Retrieved Thu, 28 Mar 2024 10:09:02 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=75189, Retrieved Thu, 28 Mar 2024 10:09:02 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact183
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [geharmoniseerde c...] [2010-05-03 11:20:44] [819ef9efcbdcdc4b312cf90f12d3a4d4] [Current]
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Dataseries X:
2
2.4
1.5
1.2
1.5
0.6
2.7
3.7
4.9
6.6
7.4
7.2
5.3
4.7
6.1
6.6
7
7.5
6.6
7.8
4.7
5.4
4.3
4.5
5.8
4.6
5.2
3.6
4.8
6.7
6.3
4.8
8.7
6.8
7.4
9
7.9
9.1
8.7
9.8
6.4
6.1
4.7
4.8
4.2
2.8
6.1
5.8
4.9
4.6
4.1
3.6
5.9
4.5
4.8
5.7
5
7
4.6
2.6
5
4.1
3.2
0
2.3
3.8
4.5
5.9
5
4.2
4.5
6




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=75189&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=75189&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=75189&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
10.7192016.10260
20.5872624.98312e-06
30.4515843.83180.000135
40.2946162.49990.007351
50.2119131.79810.038173
60.0566740.48090.316025
7-7.6e-05-6e-040.499743
8-0.05958-0.50560.307357
9-0.075381-0.63960.262222
10-0.120412-1.02170.155164
11-0.140337-1.19080.118822
12-0.209788-1.78010.039639
13-0.135364-1.14860.12726
14-0.090048-0.76410.223657
15-0.072268-0.61320.270835
16-0.06367-0.54030.295343
170.0069970.05940.476412
180.1402491.19010.118968
190.1304161.10660.136071
200.1869181.58610.058555
210.130211.10490.136447
220.1169290.99220.162218
230.0546110.46340.32224
24-0.077801-0.66020.255628
25-0.093794-0.79590.214363
26-0.18626-1.58050.059192
27-0.204011-1.73110.043859
28-0.183725-1.5590.061696
29-0.255916-2.17150.016594
30-0.30508-2.58870.005824
31-0.323669-2.74640.003803
32-0.342035-2.90230.002457
33-0.342877-2.90940.002407
34-0.368539-3.12720.001273
35-0.292485-2.48180.007703
36-0.175805-1.49180.070066
37-0.131872-1.1190.133435
38-0.049909-0.42350.336598
39-0.034691-0.29440.384665
40-0.008619-0.07310.47095
410.02240.19010.424896
420.0157990.13410.446865
430.0069360.05890.476617
44-0.04958-0.42070.337614
45-0.039505-0.33520.36922
46-0.041136-0.34910.364034
47-0.040398-0.34280.366377
48-0.029752-0.25250.400706

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.719201 & 6.1026 & 0 \tabularnewline
2 & 0.587262 & 4.9831 & 2e-06 \tabularnewline
3 & 0.451584 & 3.8318 & 0.000135 \tabularnewline
4 & 0.294616 & 2.4999 & 0.007351 \tabularnewline
5 & 0.211913 & 1.7981 & 0.038173 \tabularnewline
6 & 0.056674 & 0.4809 & 0.316025 \tabularnewline
7 & -7.6e-05 & -6e-04 & 0.499743 \tabularnewline
8 & -0.05958 & -0.5056 & 0.307357 \tabularnewline
9 & -0.075381 & -0.6396 & 0.262222 \tabularnewline
10 & -0.120412 & -1.0217 & 0.155164 \tabularnewline
11 & -0.140337 & -1.1908 & 0.118822 \tabularnewline
12 & -0.209788 & -1.7801 & 0.039639 \tabularnewline
13 & -0.135364 & -1.1486 & 0.12726 \tabularnewline
14 & -0.090048 & -0.7641 & 0.223657 \tabularnewline
15 & -0.072268 & -0.6132 & 0.270835 \tabularnewline
16 & -0.06367 & -0.5403 & 0.295343 \tabularnewline
17 & 0.006997 & 0.0594 & 0.476412 \tabularnewline
18 & 0.140249 & 1.1901 & 0.118968 \tabularnewline
19 & 0.130416 & 1.1066 & 0.136071 \tabularnewline
20 & 0.186918 & 1.5861 & 0.058555 \tabularnewline
21 & 0.13021 & 1.1049 & 0.136447 \tabularnewline
22 & 0.116929 & 0.9922 & 0.162218 \tabularnewline
23 & 0.054611 & 0.4634 & 0.32224 \tabularnewline
24 & -0.077801 & -0.6602 & 0.255628 \tabularnewline
25 & -0.093794 & -0.7959 & 0.214363 \tabularnewline
26 & -0.18626 & -1.5805 & 0.059192 \tabularnewline
27 & -0.204011 & -1.7311 & 0.043859 \tabularnewline
28 & -0.183725 & -1.559 & 0.061696 \tabularnewline
29 & -0.255916 & -2.1715 & 0.016594 \tabularnewline
30 & -0.30508 & -2.5887 & 0.005824 \tabularnewline
31 & -0.323669 & -2.7464 & 0.003803 \tabularnewline
32 & -0.342035 & -2.9023 & 0.002457 \tabularnewline
33 & -0.342877 & -2.9094 & 0.002407 \tabularnewline
34 & -0.368539 & -3.1272 & 0.001273 \tabularnewline
35 & -0.292485 & -2.4818 & 0.007703 \tabularnewline
36 & -0.175805 & -1.4918 & 0.070066 \tabularnewline
37 & -0.131872 & -1.119 & 0.133435 \tabularnewline
38 & -0.049909 & -0.4235 & 0.336598 \tabularnewline
39 & -0.034691 & -0.2944 & 0.384665 \tabularnewline
40 & -0.008619 & -0.0731 & 0.47095 \tabularnewline
41 & 0.0224 & 0.1901 & 0.424896 \tabularnewline
42 & 0.015799 & 0.1341 & 0.446865 \tabularnewline
43 & 0.006936 & 0.0589 & 0.476617 \tabularnewline
44 & -0.04958 & -0.4207 & 0.337614 \tabularnewline
45 & -0.039505 & -0.3352 & 0.36922 \tabularnewline
46 & -0.041136 & -0.3491 & 0.364034 \tabularnewline
47 & -0.040398 & -0.3428 & 0.366377 \tabularnewline
48 & -0.029752 & -0.2525 & 0.400706 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=75189&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]0.719201[/C][C]6.1026[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.587262[/C][C]4.9831[/C][C]2e-06[/C][/ROW]
[ROW][C]3[/C][C]0.451584[/C][C]3.8318[/C][C]0.000135[/C][/ROW]
[ROW][C]4[/C][C]0.294616[/C][C]2.4999[/C][C]0.007351[/C][/ROW]
[ROW][C]5[/C][C]0.211913[/C][C]1.7981[/C][C]0.038173[/C][/ROW]
[ROW][C]6[/C][C]0.056674[/C][C]0.4809[/C][C]0.316025[/C][/ROW]
[ROW][C]7[/C][C]-7.6e-05[/C][C]-6e-04[/C][C]0.499743[/C][/ROW]
[ROW][C]8[/C][C]-0.05958[/C][C]-0.5056[/C][C]0.307357[/C][/ROW]
[ROW][C]9[/C][C]-0.075381[/C][C]-0.6396[/C][C]0.262222[/C][/ROW]
[ROW][C]10[/C][C]-0.120412[/C][C]-1.0217[/C][C]0.155164[/C][/ROW]
[ROW][C]11[/C][C]-0.140337[/C][C]-1.1908[/C][C]0.118822[/C][/ROW]
[ROW][C]12[/C][C]-0.209788[/C][C]-1.7801[/C][C]0.039639[/C][/ROW]
[ROW][C]13[/C][C]-0.135364[/C][C]-1.1486[/C][C]0.12726[/C][/ROW]
[ROW][C]14[/C][C]-0.090048[/C][C]-0.7641[/C][C]0.223657[/C][/ROW]
[ROW][C]15[/C][C]-0.072268[/C][C]-0.6132[/C][C]0.270835[/C][/ROW]
[ROW][C]16[/C][C]-0.06367[/C][C]-0.5403[/C][C]0.295343[/C][/ROW]
[ROW][C]17[/C][C]0.006997[/C][C]0.0594[/C][C]0.476412[/C][/ROW]
[ROW][C]18[/C][C]0.140249[/C][C]1.1901[/C][C]0.118968[/C][/ROW]
[ROW][C]19[/C][C]0.130416[/C][C]1.1066[/C][C]0.136071[/C][/ROW]
[ROW][C]20[/C][C]0.186918[/C][C]1.5861[/C][C]0.058555[/C][/ROW]
[ROW][C]21[/C][C]0.13021[/C][C]1.1049[/C][C]0.136447[/C][/ROW]
[ROW][C]22[/C][C]0.116929[/C][C]0.9922[/C][C]0.162218[/C][/ROW]
[ROW][C]23[/C][C]0.054611[/C][C]0.4634[/C][C]0.32224[/C][/ROW]
[ROW][C]24[/C][C]-0.077801[/C][C]-0.6602[/C][C]0.255628[/C][/ROW]
[ROW][C]25[/C][C]-0.093794[/C][C]-0.7959[/C][C]0.214363[/C][/ROW]
[ROW][C]26[/C][C]-0.18626[/C][C]-1.5805[/C][C]0.059192[/C][/ROW]
[ROW][C]27[/C][C]-0.204011[/C][C]-1.7311[/C][C]0.043859[/C][/ROW]
[ROW][C]28[/C][C]-0.183725[/C][C]-1.559[/C][C]0.061696[/C][/ROW]
[ROW][C]29[/C][C]-0.255916[/C][C]-2.1715[/C][C]0.016594[/C][/ROW]
[ROW][C]30[/C][C]-0.30508[/C][C]-2.5887[/C][C]0.005824[/C][/ROW]
[ROW][C]31[/C][C]-0.323669[/C][C]-2.7464[/C][C]0.003803[/C][/ROW]
[ROW][C]32[/C][C]-0.342035[/C][C]-2.9023[/C][C]0.002457[/C][/ROW]
[ROW][C]33[/C][C]-0.342877[/C][C]-2.9094[/C][C]0.002407[/C][/ROW]
[ROW][C]34[/C][C]-0.368539[/C][C]-3.1272[/C][C]0.001273[/C][/ROW]
[ROW][C]35[/C][C]-0.292485[/C][C]-2.4818[/C][C]0.007703[/C][/ROW]
[ROW][C]36[/C][C]-0.175805[/C][C]-1.4918[/C][C]0.070066[/C][/ROW]
[ROW][C]37[/C][C]-0.131872[/C][C]-1.119[/C][C]0.133435[/C][/ROW]
[ROW][C]38[/C][C]-0.049909[/C][C]-0.4235[/C][C]0.336598[/C][/ROW]
[ROW][C]39[/C][C]-0.034691[/C][C]-0.2944[/C][C]0.384665[/C][/ROW]
[ROW][C]40[/C][C]-0.008619[/C][C]-0.0731[/C][C]0.47095[/C][/ROW]
[ROW][C]41[/C][C]0.0224[/C][C]0.1901[/C][C]0.424896[/C][/ROW]
[ROW][C]42[/C][C]0.015799[/C][C]0.1341[/C][C]0.446865[/C][/ROW]
[ROW][C]43[/C][C]0.006936[/C][C]0.0589[/C][C]0.476617[/C][/ROW]
[ROW][C]44[/C][C]-0.04958[/C][C]-0.4207[/C][C]0.337614[/C][/ROW]
[ROW][C]45[/C][C]-0.039505[/C][C]-0.3352[/C][C]0.36922[/C][/ROW]
[ROW][C]46[/C][C]-0.041136[/C][C]-0.3491[/C][C]0.364034[/C][/ROW]
[ROW][C]47[/C][C]-0.040398[/C][C]-0.3428[/C][C]0.366377[/C][/ROW]
[ROW][C]48[/C][C]-0.029752[/C][C]-0.2525[/C][C]0.400706[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=75189&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=75189&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
10.7192016.10260
20.5872624.98312e-06
30.4515843.83180.000135
40.2946162.49990.007351
50.2119131.79810.038173
60.0566740.48090.316025
7-7.6e-05-6e-040.499743
8-0.05958-0.50560.307357
9-0.075381-0.63960.262222
10-0.120412-1.02170.155164
11-0.140337-1.19080.118822
12-0.209788-1.78010.039639
13-0.135364-1.14860.12726
14-0.090048-0.76410.223657
15-0.072268-0.61320.270835
16-0.06367-0.54030.295343
170.0069970.05940.476412
180.1402491.19010.118968
190.1304161.10660.136071
200.1869181.58610.058555
210.130211.10490.136447
220.1169290.99220.162218
230.0546110.46340.32224
24-0.077801-0.66020.255628
25-0.093794-0.79590.214363
26-0.18626-1.58050.059192
27-0.204011-1.73110.043859
28-0.183725-1.5590.061696
29-0.255916-2.17150.016594
30-0.30508-2.58870.005824
31-0.323669-2.74640.003803
32-0.342035-2.90230.002457
33-0.342877-2.90940.002407
34-0.368539-3.12720.001273
35-0.292485-2.48180.007703
36-0.175805-1.49180.070066
37-0.131872-1.1190.133435
38-0.049909-0.42350.336598
39-0.034691-0.29440.384665
40-0.008619-0.07310.47095
410.02240.19010.424896
420.0157990.13410.446865
430.0069360.05890.476617
44-0.04958-0.42070.337614
45-0.039505-0.33520.36922
46-0.041136-0.34910.364034
47-0.040398-0.34280.366377
48-0.029752-0.25250.400706







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.7192016.10260
20.1450291.23060.111237
3-0.029255-0.24820.402329
4-0.126371-1.07230.143585
50.0210780.17890.429278
6-0.176136-1.49460.0697
70.0318290.27010.393938
8-0.027555-0.23380.407897
90.050420.42780.335027
10-0.108116-0.91740.180999
110.000119e-040.499627
12-0.186184-1.57980.059266
130.2275541.93090.028719
140.0096190.08160.467588
150.0196890.16710.433892
16-0.143803-1.22020.113184
170.2286981.94060.028113
180.1223771.03840.151278
19-0.074886-0.63540.263581
200.0166780.14150.443928
21-0.097726-0.82920.204857
22-0.023664-0.20080.420711
23-0.126955-1.07720.142483
24-0.187003-1.58680.058473
250.135151.14680.127634
26-0.075461-0.64030.262003
27-0.03537-0.30010.382474
280.0125040.10610.457898
29-0.126911-1.07690.142565
30-0.058551-0.49680.310413
31-0.118089-1.0020.159846
32-0.033579-0.28490.38826
33-0.083823-0.71130.23961
34-0.048156-0.40860.342016
350.0908950.77130.221535
360.0420470.35680.361151
37-0.036651-0.3110.37835
38-0.033398-0.28340.388846
39-0.100798-0.85530.197611
40-0.052808-0.44810.327718
410.0092380.07840.468868
420.0014690.01250.495045
43-0.069132-0.58660.279653
44-0.003397-0.02880.488544
45-0.016688-0.14160.443895
46-0.051184-0.43430.332682
470.0688120.58390.280559
480.0255810.21710.414389

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.719201 & 6.1026 & 0 \tabularnewline
2 & 0.145029 & 1.2306 & 0.111237 \tabularnewline
3 & -0.029255 & -0.2482 & 0.402329 \tabularnewline
4 & -0.126371 & -1.0723 & 0.143585 \tabularnewline
5 & 0.021078 & 0.1789 & 0.429278 \tabularnewline
6 & -0.176136 & -1.4946 & 0.0697 \tabularnewline
7 & 0.031829 & 0.2701 & 0.393938 \tabularnewline
8 & -0.027555 & -0.2338 & 0.407897 \tabularnewline
9 & 0.05042 & 0.4278 & 0.335027 \tabularnewline
10 & -0.108116 & -0.9174 & 0.180999 \tabularnewline
11 & 0.00011 & 9e-04 & 0.499627 \tabularnewline
12 & -0.186184 & -1.5798 & 0.059266 \tabularnewline
13 & 0.227554 & 1.9309 & 0.028719 \tabularnewline
14 & 0.009619 & 0.0816 & 0.467588 \tabularnewline
15 & 0.019689 & 0.1671 & 0.433892 \tabularnewline
16 & -0.143803 & -1.2202 & 0.113184 \tabularnewline
17 & 0.228698 & 1.9406 & 0.028113 \tabularnewline
18 & 0.122377 & 1.0384 & 0.151278 \tabularnewline
19 & -0.074886 & -0.6354 & 0.263581 \tabularnewline
20 & 0.016678 & 0.1415 & 0.443928 \tabularnewline
21 & -0.097726 & -0.8292 & 0.204857 \tabularnewline
22 & -0.023664 & -0.2008 & 0.420711 \tabularnewline
23 & -0.126955 & -1.0772 & 0.142483 \tabularnewline
24 & -0.187003 & -1.5868 & 0.058473 \tabularnewline
25 & 0.13515 & 1.1468 & 0.127634 \tabularnewline
26 & -0.075461 & -0.6403 & 0.262003 \tabularnewline
27 & -0.03537 & -0.3001 & 0.382474 \tabularnewline
28 & 0.012504 & 0.1061 & 0.457898 \tabularnewline
29 & -0.126911 & -1.0769 & 0.142565 \tabularnewline
30 & -0.058551 & -0.4968 & 0.310413 \tabularnewline
31 & -0.118089 & -1.002 & 0.159846 \tabularnewline
32 & -0.033579 & -0.2849 & 0.38826 \tabularnewline
33 & -0.083823 & -0.7113 & 0.23961 \tabularnewline
34 & -0.048156 & -0.4086 & 0.342016 \tabularnewline
35 & 0.090895 & 0.7713 & 0.221535 \tabularnewline
36 & 0.042047 & 0.3568 & 0.361151 \tabularnewline
37 & -0.036651 & -0.311 & 0.37835 \tabularnewline
38 & -0.033398 & -0.2834 & 0.388846 \tabularnewline
39 & -0.100798 & -0.8553 & 0.197611 \tabularnewline
40 & -0.052808 & -0.4481 & 0.327718 \tabularnewline
41 & 0.009238 & 0.0784 & 0.468868 \tabularnewline
42 & 0.001469 & 0.0125 & 0.495045 \tabularnewline
43 & -0.069132 & -0.5866 & 0.279653 \tabularnewline
44 & -0.003397 & -0.0288 & 0.488544 \tabularnewline
45 & -0.016688 & -0.1416 & 0.443895 \tabularnewline
46 & -0.051184 & -0.4343 & 0.332682 \tabularnewline
47 & 0.068812 & 0.5839 & 0.280559 \tabularnewline
48 & 0.025581 & 0.2171 & 0.414389 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=75189&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]0.719201[/C][C]6.1026[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.145029[/C][C]1.2306[/C][C]0.111237[/C][/ROW]
[ROW][C]3[/C][C]-0.029255[/C][C]-0.2482[/C][C]0.402329[/C][/ROW]
[ROW][C]4[/C][C]-0.126371[/C][C]-1.0723[/C][C]0.143585[/C][/ROW]
[ROW][C]5[/C][C]0.021078[/C][C]0.1789[/C][C]0.429278[/C][/ROW]
[ROW][C]6[/C][C]-0.176136[/C][C]-1.4946[/C][C]0.0697[/C][/ROW]
[ROW][C]7[/C][C]0.031829[/C][C]0.2701[/C][C]0.393938[/C][/ROW]
[ROW][C]8[/C][C]-0.027555[/C][C]-0.2338[/C][C]0.407897[/C][/ROW]
[ROW][C]9[/C][C]0.05042[/C][C]0.4278[/C][C]0.335027[/C][/ROW]
[ROW][C]10[/C][C]-0.108116[/C][C]-0.9174[/C][C]0.180999[/C][/ROW]
[ROW][C]11[/C][C]0.00011[/C][C]9e-04[/C][C]0.499627[/C][/ROW]
[ROW][C]12[/C][C]-0.186184[/C][C]-1.5798[/C][C]0.059266[/C][/ROW]
[ROW][C]13[/C][C]0.227554[/C][C]1.9309[/C][C]0.028719[/C][/ROW]
[ROW][C]14[/C][C]0.009619[/C][C]0.0816[/C][C]0.467588[/C][/ROW]
[ROW][C]15[/C][C]0.019689[/C][C]0.1671[/C][C]0.433892[/C][/ROW]
[ROW][C]16[/C][C]-0.143803[/C][C]-1.2202[/C][C]0.113184[/C][/ROW]
[ROW][C]17[/C][C]0.228698[/C][C]1.9406[/C][C]0.028113[/C][/ROW]
[ROW][C]18[/C][C]0.122377[/C][C]1.0384[/C][C]0.151278[/C][/ROW]
[ROW][C]19[/C][C]-0.074886[/C][C]-0.6354[/C][C]0.263581[/C][/ROW]
[ROW][C]20[/C][C]0.016678[/C][C]0.1415[/C][C]0.443928[/C][/ROW]
[ROW][C]21[/C][C]-0.097726[/C][C]-0.8292[/C][C]0.204857[/C][/ROW]
[ROW][C]22[/C][C]-0.023664[/C][C]-0.2008[/C][C]0.420711[/C][/ROW]
[ROW][C]23[/C][C]-0.126955[/C][C]-1.0772[/C][C]0.142483[/C][/ROW]
[ROW][C]24[/C][C]-0.187003[/C][C]-1.5868[/C][C]0.058473[/C][/ROW]
[ROW][C]25[/C][C]0.13515[/C][C]1.1468[/C][C]0.127634[/C][/ROW]
[ROW][C]26[/C][C]-0.075461[/C][C]-0.6403[/C][C]0.262003[/C][/ROW]
[ROW][C]27[/C][C]-0.03537[/C][C]-0.3001[/C][C]0.382474[/C][/ROW]
[ROW][C]28[/C][C]0.012504[/C][C]0.1061[/C][C]0.457898[/C][/ROW]
[ROW][C]29[/C][C]-0.126911[/C][C]-1.0769[/C][C]0.142565[/C][/ROW]
[ROW][C]30[/C][C]-0.058551[/C][C]-0.4968[/C][C]0.310413[/C][/ROW]
[ROW][C]31[/C][C]-0.118089[/C][C]-1.002[/C][C]0.159846[/C][/ROW]
[ROW][C]32[/C][C]-0.033579[/C][C]-0.2849[/C][C]0.38826[/C][/ROW]
[ROW][C]33[/C][C]-0.083823[/C][C]-0.7113[/C][C]0.23961[/C][/ROW]
[ROW][C]34[/C][C]-0.048156[/C][C]-0.4086[/C][C]0.342016[/C][/ROW]
[ROW][C]35[/C][C]0.090895[/C][C]0.7713[/C][C]0.221535[/C][/ROW]
[ROW][C]36[/C][C]0.042047[/C][C]0.3568[/C][C]0.361151[/C][/ROW]
[ROW][C]37[/C][C]-0.036651[/C][C]-0.311[/C][C]0.37835[/C][/ROW]
[ROW][C]38[/C][C]-0.033398[/C][C]-0.2834[/C][C]0.388846[/C][/ROW]
[ROW][C]39[/C][C]-0.100798[/C][C]-0.8553[/C][C]0.197611[/C][/ROW]
[ROW][C]40[/C][C]-0.052808[/C][C]-0.4481[/C][C]0.327718[/C][/ROW]
[ROW][C]41[/C][C]0.009238[/C][C]0.0784[/C][C]0.468868[/C][/ROW]
[ROW][C]42[/C][C]0.001469[/C][C]0.0125[/C][C]0.495045[/C][/ROW]
[ROW][C]43[/C][C]-0.069132[/C][C]-0.5866[/C][C]0.279653[/C][/ROW]
[ROW][C]44[/C][C]-0.003397[/C][C]-0.0288[/C][C]0.488544[/C][/ROW]
[ROW][C]45[/C][C]-0.016688[/C][C]-0.1416[/C][C]0.443895[/C][/ROW]
[ROW][C]46[/C][C]-0.051184[/C][C]-0.4343[/C][C]0.332682[/C][/ROW]
[ROW][C]47[/C][C]0.068812[/C][C]0.5839[/C][C]0.280559[/C][/ROW]
[ROW][C]48[/C][C]0.025581[/C][C]0.2171[/C][C]0.414389[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=75189&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=75189&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
10.7192016.10260
20.1450291.23060.111237
3-0.029255-0.24820.402329
4-0.126371-1.07230.143585
50.0210780.17890.429278
6-0.176136-1.49460.0697
70.0318290.27010.393938
8-0.027555-0.23380.407897
90.050420.42780.335027
10-0.108116-0.91740.180999
110.000119e-040.499627
12-0.186184-1.57980.059266
130.2275541.93090.028719
140.0096190.08160.467588
150.0196890.16710.433892
16-0.143803-1.22020.113184
170.2286981.94060.028113
180.1223771.03840.151278
19-0.074886-0.63540.263581
200.0166780.14150.443928
21-0.097726-0.82920.204857
22-0.023664-0.20080.420711
23-0.126955-1.07720.142483
24-0.187003-1.58680.058473
250.135151.14680.127634
26-0.075461-0.64030.262003
27-0.03537-0.30010.382474
280.0125040.10610.457898
29-0.126911-1.07690.142565
30-0.058551-0.49680.310413
31-0.118089-1.0020.159846
32-0.033579-0.28490.38826
33-0.083823-0.71130.23961
34-0.048156-0.40860.342016
350.0908950.77130.221535
360.0420470.35680.361151
37-0.036651-0.3110.37835
38-0.033398-0.28340.388846
39-0.100798-0.85530.197611
40-0.052808-0.44810.327718
410.0092380.07840.468868
420.0014690.01250.495045
43-0.069132-0.58660.279653
44-0.003397-0.02880.488544
45-0.016688-0.14160.443895
46-0.051184-0.43430.332682
470.0688120.58390.280559
480.0255810.21710.414389



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 ;
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')