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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationThu, 29 Nov 2007 13:11:56 -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/2007/Nov/29/t1196366547o83sdboqh6o3e6j.htm/, Retrieved Fri, 03 May 2024 12:27:39 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7595, Retrieved Fri, 03 May 2024 12:27:39 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact171
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Inflatie d=1 & D=0] [2007-11-29 20:11:56] [5a8e7c1f041681f87e3014e302618e0c] [Current]
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Dataseries X:
1,6
1,6
1,4
1,7
1,8
1,9
2,2
2,1
2,4
2,6
2,8
2,7
2,6
2,9
2,8
2,2
2,2
2,2
2
2
1,7
1,4
1,3
1,4
1,3
1,3
1,4
2
1,7
1,8
1,7
1,6
1,7
1,9
1,8
1,7
1,6
1,8
1,6
1,5
1,5
1,3
1,4
1,4
1,3
1,3
1,2
1,1
1,4
1,2
1,5
1,1
1,3
1,5
1,1
1,4
1,3
1,5
1,6
1,7




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7595&T=0

[TABLE]
[ROW][C]Summary of compuational 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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7595&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7595&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Autocorrelation Function
Time lag kACF(k)T-STATP-value
017.68110
1-0.217243-1.66870.94976
20.0785910.60370.274189
30.1463271.1240.132791
4-0.018478-0.14190.556192
50.1615611.2410.109763
6-0.093201-0.71590.761558
7-0.021973-0.16880.566726
8-0.059112-0.4540.67427
9-0.179098-1.37570.912939
100.1620641.24480.109057
11-0.1565-1.20210.882936
12-0.411072-3.15750.998746
130.1583791.21650.114314
14-0.115175-0.88470.810039
15-0.033155-0.25470.600067
160.0379460.29150.385857
17-0.055694-0.42780.66482
18-0.022048-0.16940.566952
190.0677170.52010.302455
200.0263240.20220.420228
210.1459271.12090.133439
22-0.165146-1.26850.8952
230.2170911.66750.050357
240.0296850.2280.410212
25-0.079001-0.60680.72685
260.1532221.17690.121976
27-0.115951-0.89060.811629
28-0.007458-0.05730.522744
290.0337420.25920.398199
300.003650.0280.488865
31-9.7e-05-7e-040.500295
32-0.007716-0.05930.52353
33-0.067138-0.51570.696004
340.060210.46250.322719
35-0.138369-1.06280.853906
360.0562720.43220.333575
37-0.067142-0.51570.696015
38-0.142245-1.09260.860496
390.1047070.80430.212236
40-0.007852-0.06030.523943
41-0.124092-0.95320.827803
420.0593760.45610.325005
43-0.090447-0.69470.755027
440.0443280.34050.367349
450.0102360.07860.468799
46-0.064803-0.49780.689749
470.1113640.85540.197895
48-0.102007-0.78350.781775
490.1187890.91240.182626
500.0029930.0230.490867
51-0.023354-0.17940.570874
520.0743470.57110.28506
53-0.011738-0.09020.535768
540.036890.28340.388949
55-0.000313-0.00240.500955
560.0034310.02640.489531
57-0.007489-0.05750.522839
58-6.2e-05-5e-040.50019
59NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 7.6811 & 0 \tabularnewline
1 & -0.217243 & -1.6687 & 0.94976 \tabularnewline
2 & 0.078591 & 0.6037 & 0.274189 \tabularnewline
3 & 0.146327 & 1.124 & 0.132791 \tabularnewline
4 & -0.018478 & -0.1419 & 0.556192 \tabularnewline
5 & 0.161561 & 1.241 & 0.109763 \tabularnewline
6 & -0.093201 & -0.7159 & 0.761558 \tabularnewline
7 & -0.021973 & -0.1688 & 0.566726 \tabularnewline
8 & -0.059112 & -0.454 & 0.67427 \tabularnewline
9 & -0.179098 & -1.3757 & 0.912939 \tabularnewline
10 & 0.162064 & 1.2448 & 0.109057 \tabularnewline
11 & -0.1565 & -1.2021 & 0.882936 \tabularnewline
12 & -0.411072 & -3.1575 & 0.998746 \tabularnewline
13 & 0.158379 & 1.2165 & 0.114314 \tabularnewline
14 & -0.115175 & -0.8847 & 0.810039 \tabularnewline
15 & -0.033155 & -0.2547 & 0.600067 \tabularnewline
16 & 0.037946 & 0.2915 & 0.385857 \tabularnewline
17 & -0.055694 & -0.4278 & 0.66482 \tabularnewline
18 & -0.022048 & -0.1694 & 0.566952 \tabularnewline
19 & 0.067717 & 0.5201 & 0.302455 \tabularnewline
20 & 0.026324 & 0.2022 & 0.420228 \tabularnewline
21 & 0.145927 & 1.1209 & 0.133439 \tabularnewline
22 & -0.165146 & -1.2685 & 0.8952 \tabularnewline
23 & 0.217091 & 1.6675 & 0.050357 \tabularnewline
24 & 0.029685 & 0.228 & 0.410212 \tabularnewline
25 & -0.079001 & -0.6068 & 0.72685 \tabularnewline
26 & 0.153222 & 1.1769 & 0.121976 \tabularnewline
27 & -0.115951 & -0.8906 & 0.811629 \tabularnewline
28 & -0.007458 & -0.0573 & 0.522744 \tabularnewline
29 & 0.033742 & 0.2592 & 0.398199 \tabularnewline
30 & 0.00365 & 0.028 & 0.488865 \tabularnewline
31 & -9.7e-05 & -7e-04 & 0.500295 \tabularnewline
32 & -0.007716 & -0.0593 & 0.52353 \tabularnewline
33 & -0.067138 & -0.5157 & 0.696004 \tabularnewline
34 & 0.06021 & 0.4625 & 0.322719 \tabularnewline
35 & -0.138369 & -1.0628 & 0.853906 \tabularnewline
36 & 0.056272 & 0.4322 & 0.333575 \tabularnewline
37 & -0.067142 & -0.5157 & 0.696015 \tabularnewline
38 & -0.142245 & -1.0926 & 0.860496 \tabularnewline
39 & 0.104707 & 0.8043 & 0.212236 \tabularnewline
40 & -0.007852 & -0.0603 & 0.523943 \tabularnewline
41 & -0.124092 & -0.9532 & 0.827803 \tabularnewline
42 & 0.059376 & 0.4561 & 0.325005 \tabularnewline
43 & -0.090447 & -0.6947 & 0.755027 \tabularnewline
44 & 0.044328 & 0.3405 & 0.367349 \tabularnewline
45 & 0.010236 & 0.0786 & 0.468799 \tabularnewline
46 & -0.064803 & -0.4978 & 0.689749 \tabularnewline
47 & 0.111364 & 0.8554 & 0.197895 \tabularnewline
48 & -0.102007 & -0.7835 & 0.781775 \tabularnewline
49 & 0.118789 & 0.9124 & 0.182626 \tabularnewline
50 & 0.002993 & 0.023 & 0.490867 \tabularnewline
51 & -0.023354 & -0.1794 & 0.570874 \tabularnewline
52 & 0.074347 & 0.5711 & 0.28506 \tabularnewline
53 & -0.011738 & -0.0902 & 0.535768 \tabularnewline
54 & 0.03689 & 0.2834 & 0.388949 \tabularnewline
55 & -0.000313 & -0.0024 & 0.500955 \tabularnewline
56 & 0.003431 & 0.0264 & 0.489531 \tabularnewline
57 & -0.007489 & -0.0575 & 0.522839 \tabularnewline
58 & -6.2e-05 & -5e-04 & 0.50019 \tabularnewline
59 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7595&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]0[/C][C]1[/C][C]7.6811[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]-0.217243[/C][C]-1.6687[/C][C]0.94976[/C][/ROW]
[ROW][C]2[/C][C]0.078591[/C][C]0.6037[/C][C]0.274189[/C][/ROW]
[ROW][C]3[/C][C]0.146327[/C][C]1.124[/C][C]0.132791[/C][/ROW]
[ROW][C]4[/C][C]-0.018478[/C][C]-0.1419[/C][C]0.556192[/C][/ROW]
[ROW][C]5[/C][C]0.161561[/C][C]1.241[/C][C]0.109763[/C][/ROW]
[ROW][C]6[/C][C]-0.093201[/C][C]-0.7159[/C][C]0.761558[/C][/ROW]
[ROW][C]7[/C][C]-0.021973[/C][C]-0.1688[/C][C]0.566726[/C][/ROW]
[ROW][C]8[/C][C]-0.059112[/C][C]-0.454[/C][C]0.67427[/C][/ROW]
[ROW][C]9[/C][C]-0.179098[/C][C]-1.3757[/C][C]0.912939[/C][/ROW]
[ROW][C]10[/C][C]0.162064[/C][C]1.2448[/C][C]0.109057[/C][/ROW]
[ROW][C]11[/C][C]-0.1565[/C][C]-1.2021[/C][C]0.882936[/C][/ROW]
[ROW][C]12[/C][C]-0.411072[/C][C]-3.1575[/C][C]0.998746[/C][/ROW]
[ROW][C]13[/C][C]0.158379[/C][C]1.2165[/C][C]0.114314[/C][/ROW]
[ROW][C]14[/C][C]-0.115175[/C][C]-0.8847[/C][C]0.810039[/C][/ROW]
[ROW][C]15[/C][C]-0.033155[/C][C]-0.2547[/C][C]0.600067[/C][/ROW]
[ROW][C]16[/C][C]0.037946[/C][C]0.2915[/C][C]0.385857[/C][/ROW]
[ROW][C]17[/C][C]-0.055694[/C][C]-0.4278[/C][C]0.66482[/C][/ROW]
[ROW][C]18[/C][C]-0.022048[/C][C]-0.1694[/C][C]0.566952[/C][/ROW]
[ROW][C]19[/C][C]0.067717[/C][C]0.5201[/C][C]0.302455[/C][/ROW]
[ROW][C]20[/C][C]0.026324[/C][C]0.2022[/C][C]0.420228[/C][/ROW]
[ROW][C]21[/C][C]0.145927[/C][C]1.1209[/C][C]0.133439[/C][/ROW]
[ROW][C]22[/C][C]-0.165146[/C][C]-1.2685[/C][C]0.8952[/C][/ROW]
[ROW][C]23[/C][C]0.217091[/C][C]1.6675[/C][C]0.050357[/C][/ROW]
[ROW][C]24[/C][C]0.029685[/C][C]0.228[/C][C]0.410212[/C][/ROW]
[ROW][C]25[/C][C]-0.079001[/C][C]-0.6068[/C][C]0.72685[/C][/ROW]
[ROW][C]26[/C][C]0.153222[/C][C]1.1769[/C][C]0.121976[/C][/ROW]
[ROW][C]27[/C][C]-0.115951[/C][C]-0.8906[/C][C]0.811629[/C][/ROW]
[ROW][C]28[/C][C]-0.007458[/C][C]-0.0573[/C][C]0.522744[/C][/ROW]
[ROW][C]29[/C][C]0.033742[/C][C]0.2592[/C][C]0.398199[/C][/ROW]
[ROW][C]30[/C][C]0.00365[/C][C]0.028[/C][C]0.488865[/C][/ROW]
[ROW][C]31[/C][C]-9.7e-05[/C][C]-7e-04[/C][C]0.500295[/C][/ROW]
[ROW][C]32[/C][C]-0.007716[/C][C]-0.0593[/C][C]0.52353[/C][/ROW]
[ROW][C]33[/C][C]-0.067138[/C][C]-0.5157[/C][C]0.696004[/C][/ROW]
[ROW][C]34[/C][C]0.06021[/C][C]0.4625[/C][C]0.322719[/C][/ROW]
[ROW][C]35[/C][C]-0.138369[/C][C]-1.0628[/C][C]0.853906[/C][/ROW]
[ROW][C]36[/C][C]0.056272[/C][C]0.4322[/C][C]0.333575[/C][/ROW]
[ROW][C]37[/C][C]-0.067142[/C][C]-0.5157[/C][C]0.696015[/C][/ROW]
[ROW][C]38[/C][C]-0.142245[/C][C]-1.0926[/C][C]0.860496[/C][/ROW]
[ROW][C]39[/C][C]0.104707[/C][C]0.8043[/C][C]0.212236[/C][/ROW]
[ROW][C]40[/C][C]-0.007852[/C][C]-0.0603[/C][C]0.523943[/C][/ROW]
[ROW][C]41[/C][C]-0.124092[/C][C]-0.9532[/C][C]0.827803[/C][/ROW]
[ROW][C]42[/C][C]0.059376[/C][C]0.4561[/C][C]0.325005[/C][/ROW]
[ROW][C]43[/C][C]-0.090447[/C][C]-0.6947[/C][C]0.755027[/C][/ROW]
[ROW][C]44[/C][C]0.044328[/C][C]0.3405[/C][C]0.367349[/C][/ROW]
[ROW][C]45[/C][C]0.010236[/C][C]0.0786[/C][C]0.468799[/C][/ROW]
[ROW][C]46[/C][C]-0.064803[/C][C]-0.4978[/C][C]0.689749[/C][/ROW]
[ROW][C]47[/C][C]0.111364[/C][C]0.8554[/C][C]0.197895[/C][/ROW]
[ROW][C]48[/C][C]-0.102007[/C][C]-0.7835[/C][C]0.781775[/C][/ROW]
[ROW][C]49[/C][C]0.118789[/C][C]0.9124[/C][C]0.182626[/C][/ROW]
[ROW][C]50[/C][C]0.002993[/C][C]0.023[/C][C]0.490867[/C][/ROW]
[ROW][C]51[/C][C]-0.023354[/C][C]-0.1794[/C][C]0.570874[/C][/ROW]
[ROW][C]52[/C][C]0.074347[/C][C]0.5711[/C][C]0.28506[/C][/ROW]
[ROW][C]53[/C][C]-0.011738[/C][C]-0.0902[/C][C]0.535768[/C][/ROW]
[ROW][C]54[/C][C]0.03689[/C][C]0.2834[/C][C]0.388949[/C][/ROW]
[ROW][C]55[/C][C]-0.000313[/C][C]-0.0024[/C][C]0.500955[/C][/ROW]
[ROW][C]56[/C][C]0.003431[/C][C]0.0264[/C][C]0.489531[/C][/ROW]
[ROW][C]57[/C][C]-0.007489[/C][C]-0.0575[/C][C]0.522839[/C][/ROW]
[ROW][C]58[/C][C]-6.2e-05[/C][C]-5e-04[/C][C]0.50019[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7595&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7595&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
017.68110
1-0.217243-1.66870.94976
20.0785910.60370.274189
30.1463271.1240.132791
4-0.018478-0.14190.556192
50.1615611.2410.109763
6-0.093201-0.71590.761558
7-0.021973-0.16880.566726
8-0.059112-0.4540.67427
9-0.179098-1.37570.912939
100.1620641.24480.109057
11-0.1565-1.20210.882936
12-0.411072-3.15750.998746
130.1583791.21650.114314
14-0.115175-0.88470.810039
15-0.033155-0.25470.600067
160.0379460.29150.385857
17-0.055694-0.42780.66482
18-0.022048-0.16940.566952
190.0677170.52010.302455
200.0263240.20220.420228
210.1459271.12090.133439
22-0.165146-1.26850.8952
230.2170911.66750.050357
240.0296850.2280.410212
25-0.079001-0.60680.72685
260.1532221.17690.121976
27-0.115951-0.89060.811629
28-0.007458-0.05730.522744
290.0337420.25920.398199
300.003650.0280.488865
31-9.7e-05-7e-040.500295
32-0.007716-0.05930.52353
33-0.067138-0.51570.696004
340.060210.46250.322719
35-0.138369-1.06280.853906
360.0562720.43220.333575
37-0.067142-0.51570.696015
38-0.142245-1.09260.860496
390.1047070.80430.212236
40-0.007852-0.06030.523943
41-0.124092-0.95320.827803
420.0593760.45610.325005
43-0.090447-0.69470.755027
440.0443280.34050.367349
450.0102360.07860.468799
46-0.064803-0.49780.689749
470.1113640.85540.197895
48-0.102007-0.78350.781775
490.1187890.91240.182626
500.0029930.0230.490867
51-0.023354-0.17940.570874
520.0743470.57110.28506
53-0.011738-0.09020.535768
540.036890.28340.388949
55-0.000313-0.00240.500955
560.0034310.02640.489531
57-0.007489-0.05750.522839
58-6.2e-05-5e-040.50019
59NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
0-0.217243-1.66870.94976
10.0329520.25310.400533
20.1786111.37190.087639
30.0503440.38670.350184
40.1563061.20060.117351
5-0.060064-0.46140.676882
6-0.093154-0.71550.761449
7-0.140319-1.07780.857248
8-0.228319-1.75380.957667
90.1007110.77360.221136
10-0.007402-0.05690.522574
11-0.453997-3.48720.999536
12-0.04204-0.32290.626049
130.0545370.41890.338404
140.0020770.0160.493662
150.1178330.90510.184549
160.1021630.78470.217876
17-0.169905-1.30510.901531
180.0179340.13780.445451
19-0.095269-0.73180.766398
200.067360.51740.303405
210.0185870.14280.44348
220.0451920.34710.364866
23-0.182799-1.40410.917235
24-0.04989-0.38320.648531
250.0398510.30610.380304
26-0.040906-0.31420.622763
270.0288790.22180.412608
280.0451450.34680.365002
29-0.032252-0.24770.5974
300.0174690.13420.446856
310.1228890.94390.174528
32-0.054754-0.42060.662203
33-0.019086-0.14660.558026
34-0.048055-0.36910.643318
35-0.153595-1.17980.87859
36-0.095489-0.73350.766911
37-0.093253-0.71630.76168
38-0.029703-0.22820.589841
390.105120.80740.211328
40-0.062803-0.48240.684347
41-0.056882-0.43690.668116
420.0063820.0490.480533
430.0149590.11490.454457
44-0.023734-0.18230.572017
45-0.070506-0.54160.704921
46-0.030575-0.23480.592431
47-0.064324-0.49410.688459
48-0.078505-0.6030.725592
49-0.107617-0.82660.794109
500.0671060.51550.304082
510.0655370.50340.308278
52-0.115552-0.88760.810812
530.0232990.1790.429289
54-0.094618-0.72680.764881
550.0101420.07790.469085
560.0070160.05390.478601
570.008460.0650.474204
58NANANA
59NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & -0.217243 & -1.6687 & 0.94976 \tabularnewline
1 & 0.032952 & 0.2531 & 0.400533 \tabularnewline
2 & 0.178611 & 1.3719 & 0.087639 \tabularnewline
3 & 0.050344 & 0.3867 & 0.350184 \tabularnewline
4 & 0.156306 & 1.2006 & 0.117351 \tabularnewline
5 & -0.060064 & -0.4614 & 0.676882 \tabularnewline
6 & -0.093154 & -0.7155 & 0.761449 \tabularnewline
7 & -0.140319 & -1.0778 & 0.857248 \tabularnewline
8 & -0.228319 & -1.7538 & 0.957667 \tabularnewline
9 & 0.100711 & 0.7736 & 0.221136 \tabularnewline
10 & -0.007402 & -0.0569 & 0.522574 \tabularnewline
11 & -0.453997 & -3.4872 & 0.999536 \tabularnewline
12 & -0.04204 & -0.3229 & 0.626049 \tabularnewline
13 & 0.054537 & 0.4189 & 0.338404 \tabularnewline
14 & 0.002077 & 0.016 & 0.493662 \tabularnewline
15 & 0.117833 & 0.9051 & 0.184549 \tabularnewline
16 & 0.102163 & 0.7847 & 0.217876 \tabularnewline
17 & -0.169905 & -1.3051 & 0.901531 \tabularnewline
18 & 0.017934 & 0.1378 & 0.445451 \tabularnewline
19 & -0.095269 & -0.7318 & 0.766398 \tabularnewline
20 & 0.06736 & 0.5174 & 0.303405 \tabularnewline
21 & 0.018587 & 0.1428 & 0.44348 \tabularnewline
22 & 0.045192 & 0.3471 & 0.364866 \tabularnewline
23 & -0.182799 & -1.4041 & 0.917235 \tabularnewline
24 & -0.04989 & -0.3832 & 0.648531 \tabularnewline
25 & 0.039851 & 0.3061 & 0.380304 \tabularnewline
26 & -0.040906 & -0.3142 & 0.622763 \tabularnewline
27 & 0.028879 & 0.2218 & 0.412608 \tabularnewline
28 & 0.045145 & 0.3468 & 0.365002 \tabularnewline
29 & -0.032252 & -0.2477 & 0.5974 \tabularnewline
30 & 0.017469 & 0.1342 & 0.446856 \tabularnewline
31 & 0.122889 & 0.9439 & 0.174528 \tabularnewline
32 & -0.054754 & -0.4206 & 0.662203 \tabularnewline
33 & -0.019086 & -0.1466 & 0.558026 \tabularnewline
34 & -0.048055 & -0.3691 & 0.643318 \tabularnewline
35 & -0.153595 & -1.1798 & 0.87859 \tabularnewline
36 & -0.095489 & -0.7335 & 0.766911 \tabularnewline
37 & -0.093253 & -0.7163 & 0.76168 \tabularnewline
38 & -0.029703 & -0.2282 & 0.589841 \tabularnewline
39 & 0.10512 & 0.8074 & 0.211328 \tabularnewline
40 & -0.062803 & -0.4824 & 0.684347 \tabularnewline
41 & -0.056882 & -0.4369 & 0.668116 \tabularnewline
42 & 0.006382 & 0.049 & 0.480533 \tabularnewline
43 & 0.014959 & 0.1149 & 0.454457 \tabularnewline
44 & -0.023734 & -0.1823 & 0.572017 \tabularnewline
45 & -0.070506 & -0.5416 & 0.704921 \tabularnewline
46 & -0.030575 & -0.2348 & 0.592431 \tabularnewline
47 & -0.064324 & -0.4941 & 0.688459 \tabularnewline
48 & -0.078505 & -0.603 & 0.725592 \tabularnewline
49 & -0.107617 & -0.8266 & 0.794109 \tabularnewline
50 & 0.067106 & 0.5155 & 0.304082 \tabularnewline
51 & 0.065537 & 0.5034 & 0.308278 \tabularnewline
52 & -0.115552 & -0.8876 & 0.810812 \tabularnewline
53 & 0.023299 & 0.179 & 0.429289 \tabularnewline
54 & -0.094618 & -0.7268 & 0.764881 \tabularnewline
55 & 0.010142 & 0.0779 & 0.469085 \tabularnewline
56 & 0.007016 & 0.0539 & 0.478601 \tabularnewline
57 & 0.00846 & 0.065 & 0.474204 \tabularnewline
58 & NA & NA & NA \tabularnewline
59 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7595&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]0[/C][C]-0.217243[/C][C]-1.6687[/C][C]0.94976[/C][/ROW]
[ROW][C]1[/C][C]0.032952[/C][C]0.2531[/C][C]0.400533[/C][/ROW]
[ROW][C]2[/C][C]0.178611[/C][C]1.3719[/C][C]0.087639[/C][/ROW]
[ROW][C]3[/C][C]0.050344[/C][C]0.3867[/C][C]0.350184[/C][/ROW]
[ROW][C]4[/C][C]0.156306[/C][C]1.2006[/C][C]0.117351[/C][/ROW]
[ROW][C]5[/C][C]-0.060064[/C][C]-0.4614[/C][C]0.676882[/C][/ROW]
[ROW][C]6[/C][C]-0.093154[/C][C]-0.7155[/C][C]0.761449[/C][/ROW]
[ROW][C]7[/C][C]-0.140319[/C][C]-1.0778[/C][C]0.857248[/C][/ROW]
[ROW][C]8[/C][C]-0.228319[/C][C]-1.7538[/C][C]0.957667[/C][/ROW]
[ROW][C]9[/C][C]0.100711[/C][C]0.7736[/C][C]0.221136[/C][/ROW]
[ROW][C]10[/C][C]-0.007402[/C][C]-0.0569[/C][C]0.522574[/C][/ROW]
[ROW][C]11[/C][C]-0.453997[/C][C]-3.4872[/C][C]0.999536[/C][/ROW]
[ROW][C]12[/C][C]-0.04204[/C][C]-0.3229[/C][C]0.626049[/C][/ROW]
[ROW][C]13[/C][C]0.054537[/C][C]0.4189[/C][C]0.338404[/C][/ROW]
[ROW][C]14[/C][C]0.002077[/C][C]0.016[/C][C]0.493662[/C][/ROW]
[ROW][C]15[/C][C]0.117833[/C][C]0.9051[/C][C]0.184549[/C][/ROW]
[ROW][C]16[/C][C]0.102163[/C][C]0.7847[/C][C]0.217876[/C][/ROW]
[ROW][C]17[/C][C]-0.169905[/C][C]-1.3051[/C][C]0.901531[/C][/ROW]
[ROW][C]18[/C][C]0.017934[/C][C]0.1378[/C][C]0.445451[/C][/ROW]
[ROW][C]19[/C][C]-0.095269[/C][C]-0.7318[/C][C]0.766398[/C][/ROW]
[ROW][C]20[/C][C]0.06736[/C][C]0.5174[/C][C]0.303405[/C][/ROW]
[ROW][C]21[/C][C]0.018587[/C][C]0.1428[/C][C]0.44348[/C][/ROW]
[ROW][C]22[/C][C]0.045192[/C][C]0.3471[/C][C]0.364866[/C][/ROW]
[ROW][C]23[/C][C]-0.182799[/C][C]-1.4041[/C][C]0.917235[/C][/ROW]
[ROW][C]24[/C][C]-0.04989[/C][C]-0.3832[/C][C]0.648531[/C][/ROW]
[ROW][C]25[/C][C]0.039851[/C][C]0.3061[/C][C]0.380304[/C][/ROW]
[ROW][C]26[/C][C]-0.040906[/C][C]-0.3142[/C][C]0.622763[/C][/ROW]
[ROW][C]27[/C][C]0.028879[/C][C]0.2218[/C][C]0.412608[/C][/ROW]
[ROW][C]28[/C][C]0.045145[/C][C]0.3468[/C][C]0.365002[/C][/ROW]
[ROW][C]29[/C][C]-0.032252[/C][C]-0.2477[/C][C]0.5974[/C][/ROW]
[ROW][C]30[/C][C]0.017469[/C][C]0.1342[/C][C]0.446856[/C][/ROW]
[ROW][C]31[/C][C]0.122889[/C][C]0.9439[/C][C]0.174528[/C][/ROW]
[ROW][C]32[/C][C]-0.054754[/C][C]-0.4206[/C][C]0.662203[/C][/ROW]
[ROW][C]33[/C][C]-0.019086[/C][C]-0.1466[/C][C]0.558026[/C][/ROW]
[ROW][C]34[/C][C]-0.048055[/C][C]-0.3691[/C][C]0.643318[/C][/ROW]
[ROW][C]35[/C][C]-0.153595[/C][C]-1.1798[/C][C]0.87859[/C][/ROW]
[ROW][C]36[/C][C]-0.095489[/C][C]-0.7335[/C][C]0.766911[/C][/ROW]
[ROW][C]37[/C][C]-0.093253[/C][C]-0.7163[/C][C]0.76168[/C][/ROW]
[ROW][C]38[/C][C]-0.029703[/C][C]-0.2282[/C][C]0.589841[/C][/ROW]
[ROW][C]39[/C][C]0.10512[/C][C]0.8074[/C][C]0.211328[/C][/ROW]
[ROW][C]40[/C][C]-0.062803[/C][C]-0.4824[/C][C]0.684347[/C][/ROW]
[ROW][C]41[/C][C]-0.056882[/C][C]-0.4369[/C][C]0.668116[/C][/ROW]
[ROW][C]42[/C][C]0.006382[/C][C]0.049[/C][C]0.480533[/C][/ROW]
[ROW][C]43[/C][C]0.014959[/C][C]0.1149[/C][C]0.454457[/C][/ROW]
[ROW][C]44[/C][C]-0.023734[/C][C]-0.1823[/C][C]0.572017[/C][/ROW]
[ROW][C]45[/C][C]-0.070506[/C][C]-0.5416[/C][C]0.704921[/C][/ROW]
[ROW][C]46[/C][C]-0.030575[/C][C]-0.2348[/C][C]0.592431[/C][/ROW]
[ROW][C]47[/C][C]-0.064324[/C][C]-0.4941[/C][C]0.688459[/C][/ROW]
[ROW][C]48[/C][C]-0.078505[/C][C]-0.603[/C][C]0.725592[/C][/ROW]
[ROW][C]49[/C][C]-0.107617[/C][C]-0.8266[/C][C]0.794109[/C][/ROW]
[ROW][C]50[/C][C]0.067106[/C][C]0.5155[/C][C]0.304082[/C][/ROW]
[ROW][C]51[/C][C]0.065537[/C][C]0.5034[/C][C]0.308278[/C][/ROW]
[ROW][C]52[/C][C]-0.115552[/C][C]-0.8876[/C][C]0.810812[/C][/ROW]
[ROW][C]53[/C][C]0.023299[/C][C]0.179[/C][C]0.429289[/C][/ROW]
[ROW][C]54[/C][C]-0.094618[/C][C]-0.7268[/C][C]0.764881[/C][/ROW]
[ROW][C]55[/C][C]0.010142[/C][C]0.0779[/C][C]0.469085[/C][/ROW]
[ROW][C]56[/C][C]0.007016[/C][C]0.0539[/C][C]0.478601[/C][/ROW]
[ROW][C]57[/C][C]0.00846[/C][C]0.065[/C][C]0.474204[/C][/ROW]
[ROW][C]58[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7595&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7595&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
0-0.217243-1.66870.94976
10.0329520.25310.400533
20.1786111.37190.087639
30.0503440.38670.350184
40.1563061.20060.117351
5-0.060064-0.46140.676882
6-0.093154-0.71550.761449
7-0.140319-1.07780.857248
8-0.228319-1.75380.957667
90.1007110.77360.221136
10-0.007402-0.05690.522574
11-0.453997-3.48720.999536
12-0.04204-0.32290.626049
130.0545370.41890.338404
140.0020770.0160.493662
150.1178330.90510.184549
160.1021630.78470.217876
17-0.169905-1.30510.901531
180.0179340.13780.445451
19-0.095269-0.73180.766398
200.067360.51740.303405
210.0185870.14280.44348
220.0451920.34710.364866
23-0.182799-1.40410.917235
24-0.04989-0.38320.648531
250.0398510.30610.380304
26-0.040906-0.31420.622763
270.0288790.22180.412608
280.0451450.34680.365002
29-0.032252-0.24770.5974
300.0174690.13420.446856
310.1228890.94390.174528
32-0.054754-0.42060.662203
33-0.019086-0.14660.558026
34-0.048055-0.36910.643318
35-0.153595-1.17980.87859
36-0.095489-0.73350.766911
37-0.093253-0.71630.76168
38-0.029703-0.22820.589841
390.105120.80740.211328
40-0.062803-0.48240.684347
41-0.056882-0.43690.668116
420.0063820.0490.480533
430.0149590.11490.454457
44-0.023734-0.18230.572017
45-0.070506-0.54160.704921
46-0.030575-0.23480.592431
47-0.064324-0.49410.688459
48-0.078505-0.6030.725592
49-0.107617-0.82660.794109
500.0671060.51550.304082
510.0655370.50340.308278
52-0.115552-0.88760.810812
530.0232990.1790.429289
54-0.094618-0.72680.764881
550.0101420.07790.469085
560.0070160.05390.478601
570.008460.0650.474204
58NANANA
59NANANA



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; 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 1:par1) {
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(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-1,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(mytstat,lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')