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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationSun, 21 Dec 2008 08:54:30 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Dec/21/t1229874920am5zhr40u12y0zm.htm/, Retrieved Fri, 17 May 2024 05:03:36 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=35645, Retrieved Fri, 17 May 2024 05:03:36 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact169
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [(Partial) Autocorrelation Function] [paper auto 1] [2007-12-01 12:01:15] [22f18fc6a98517db16300404be421f9a]
- R PD    [(Partial) Autocorrelation Function] [Paper - autocorre...] [2008-12-21 15:54:30] [73ec5abea95a9c3c8c3a1ac44cab1f72] [Current]
-   P       [(Partial) Autocorrelation Function] [Paper - ACF lambd...] [2008-12-22 12:33:54] [1848c1c05ef454c234bcbe26cf08badc]
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Dataseries X:
2490
3266
3475
3127
2955
3870
2852
3142
3029
3180
2560
2733
2452
2553
2777
2520
2318
2873
2311
2395
2099
2268
2316
2181
2175
2627
2578
3090
2634
3225
2938
3174
3350
2588
2061
2691
2061
2918
2223
2651
2379
3146
2883
2768
3258
2839
2470
5072
1463
1600
2203
2013
2169
2640
2411
2528
2292
1988
1774
2279




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=35645&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=35645&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35645&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
10.1851471.43410.078361
20.2267971.75680.04203
30.2478311.91970.029828
40.0637480.49380.31163
5-0.025631-0.19850.421647
60.1019150.78940.216484
7-0.136646-1.05850.147045
8-0.015661-0.12130.451926
9-0.105892-0.82020.207664
100.0059030.04570.48184
11-0.258939-2.00570.0247
120.0128470.09950.460532
13-0.108624-0.84140.201732
14-0.028781-0.22290.412171
150.0633420.49060.312733
16-0.012023-0.09310.463056
17-0.12505-0.96860.168308
18-0.005163-0.040.484116
19-0.173653-1.34510.091826
20-0.01816-0.14070.444302
21-0.111926-0.8670.194706
22-0.015227-0.11790.453251
23-0.048884-0.37870.353141
240.0348590.270.394036
250.0067140.0520.479347
260.0080720.06250.475178
27-0.010386-0.08040.468074
280.0538070.41680.33916
29-0.035353-0.27380.392573
300.1151710.89210.187948
31-0.06678-0.51730.303434
320.0042250.03270.487
330.0459370.35580.36161
340.048570.37620.35404
350.0319420.24740.402714
360.1387091.07440.143465
370.0591890.45850.324134
380.1479281.14580.128205
390.1183140.91650.181549
400.0841770.6520.258435
41-0.011264-0.08730.465381
420.1379981.06890.144692
43-0.053668-0.41570.339553
44-0.059228-0.45880.324027
450.0042640.0330.48688
46-0.049726-0.38520.350736
47-0.17265-1.33730.093079
48-0.096929-0.75080.227852
49-0.107609-0.83350.203925
50-0.098614-0.76390.223972
51-0.078846-0.61070.271839
52-0.076976-0.59630.276625
53-0.092891-0.71950.237304
54-0.072086-0.55840.289332
55-0.067442-0.52240.301656
56-0.065982-0.51110.30558
57-0.039072-0.30270.381601
58-0.00473-0.03660.485448
590.0030850.02390.490508
60NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.185147 & 1.4341 & 0.078361 \tabularnewline
2 & 0.226797 & 1.7568 & 0.04203 \tabularnewline
3 & 0.247831 & 1.9197 & 0.029828 \tabularnewline
4 & 0.063748 & 0.4938 & 0.31163 \tabularnewline
5 & -0.025631 & -0.1985 & 0.421647 \tabularnewline
6 & 0.101915 & 0.7894 & 0.216484 \tabularnewline
7 & -0.136646 & -1.0585 & 0.147045 \tabularnewline
8 & -0.015661 & -0.1213 & 0.451926 \tabularnewline
9 & -0.105892 & -0.8202 & 0.207664 \tabularnewline
10 & 0.005903 & 0.0457 & 0.48184 \tabularnewline
11 & -0.258939 & -2.0057 & 0.0247 \tabularnewline
12 & 0.012847 & 0.0995 & 0.460532 \tabularnewline
13 & -0.108624 & -0.8414 & 0.201732 \tabularnewline
14 & -0.028781 & -0.2229 & 0.412171 \tabularnewline
15 & 0.063342 & 0.4906 & 0.312733 \tabularnewline
16 & -0.012023 & -0.0931 & 0.463056 \tabularnewline
17 & -0.12505 & -0.9686 & 0.168308 \tabularnewline
18 & -0.005163 & -0.04 & 0.484116 \tabularnewline
19 & -0.173653 & -1.3451 & 0.091826 \tabularnewline
20 & -0.01816 & -0.1407 & 0.444302 \tabularnewline
21 & -0.111926 & -0.867 & 0.194706 \tabularnewline
22 & -0.015227 & -0.1179 & 0.453251 \tabularnewline
23 & -0.048884 & -0.3787 & 0.353141 \tabularnewline
24 & 0.034859 & 0.27 & 0.394036 \tabularnewline
25 & 0.006714 & 0.052 & 0.479347 \tabularnewline
26 & 0.008072 & 0.0625 & 0.475178 \tabularnewline
27 & -0.010386 & -0.0804 & 0.468074 \tabularnewline
28 & 0.053807 & 0.4168 & 0.33916 \tabularnewline
29 & -0.035353 & -0.2738 & 0.392573 \tabularnewline
30 & 0.115171 & 0.8921 & 0.187948 \tabularnewline
31 & -0.06678 & -0.5173 & 0.303434 \tabularnewline
32 & 0.004225 & 0.0327 & 0.487 \tabularnewline
33 & 0.045937 & 0.3558 & 0.36161 \tabularnewline
34 & 0.04857 & 0.3762 & 0.35404 \tabularnewline
35 & 0.031942 & 0.2474 & 0.402714 \tabularnewline
36 & 0.138709 & 1.0744 & 0.143465 \tabularnewline
37 & 0.059189 & 0.4585 & 0.324134 \tabularnewline
38 & 0.147928 & 1.1458 & 0.128205 \tabularnewline
39 & 0.118314 & 0.9165 & 0.181549 \tabularnewline
40 & 0.084177 & 0.652 & 0.258435 \tabularnewline
41 & -0.011264 & -0.0873 & 0.465381 \tabularnewline
42 & 0.137998 & 1.0689 & 0.144692 \tabularnewline
43 & -0.053668 & -0.4157 & 0.339553 \tabularnewline
44 & -0.059228 & -0.4588 & 0.324027 \tabularnewline
45 & 0.004264 & 0.033 & 0.48688 \tabularnewline
46 & -0.049726 & -0.3852 & 0.350736 \tabularnewline
47 & -0.17265 & -1.3373 & 0.093079 \tabularnewline
48 & -0.096929 & -0.7508 & 0.227852 \tabularnewline
49 & -0.107609 & -0.8335 & 0.203925 \tabularnewline
50 & -0.098614 & -0.7639 & 0.223972 \tabularnewline
51 & -0.078846 & -0.6107 & 0.271839 \tabularnewline
52 & -0.076976 & -0.5963 & 0.276625 \tabularnewline
53 & -0.092891 & -0.7195 & 0.237304 \tabularnewline
54 & -0.072086 & -0.5584 & 0.289332 \tabularnewline
55 & -0.067442 & -0.5224 & 0.301656 \tabularnewline
56 & -0.065982 & -0.5111 & 0.30558 \tabularnewline
57 & -0.039072 & -0.3027 & 0.381601 \tabularnewline
58 & -0.00473 & -0.0366 & 0.485448 \tabularnewline
59 & 0.003085 & 0.0239 & 0.490508 \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35645&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]0.185147[/C][C]1.4341[/C][C]0.078361[/C][/ROW]
[ROW][C]2[/C][C]0.226797[/C][C]1.7568[/C][C]0.04203[/C][/ROW]
[ROW][C]3[/C][C]0.247831[/C][C]1.9197[/C][C]0.029828[/C][/ROW]
[ROW][C]4[/C][C]0.063748[/C][C]0.4938[/C][C]0.31163[/C][/ROW]
[ROW][C]5[/C][C]-0.025631[/C][C]-0.1985[/C][C]0.421647[/C][/ROW]
[ROW][C]6[/C][C]0.101915[/C][C]0.7894[/C][C]0.216484[/C][/ROW]
[ROW][C]7[/C][C]-0.136646[/C][C]-1.0585[/C][C]0.147045[/C][/ROW]
[ROW][C]8[/C][C]-0.015661[/C][C]-0.1213[/C][C]0.451926[/C][/ROW]
[ROW][C]9[/C][C]-0.105892[/C][C]-0.8202[/C][C]0.207664[/C][/ROW]
[ROW][C]10[/C][C]0.005903[/C][C]0.0457[/C][C]0.48184[/C][/ROW]
[ROW][C]11[/C][C]-0.258939[/C][C]-2.0057[/C][C]0.0247[/C][/ROW]
[ROW][C]12[/C][C]0.012847[/C][C]0.0995[/C][C]0.460532[/C][/ROW]
[ROW][C]13[/C][C]-0.108624[/C][C]-0.8414[/C][C]0.201732[/C][/ROW]
[ROW][C]14[/C][C]-0.028781[/C][C]-0.2229[/C][C]0.412171[/C][/ROW]
[ROW][C]15[/C][C]0.063342[/C][C]0.4906[/C][C]0.312733[/C][/ROW]
[ROW][C]16[/C][C]-0.012023[/C][C]-0.0931[/C][C]0.463056[/C][/ROW]
[ROW][C]17[/C][C]-0.12505[/C][C]-0.9686[/C][C]0.168308[/C][/ROW]
[ROW][C]18[/C][C]-0.005163[/C][C]-0.04[/C][C]0.484116[/C][/ROW]
[ROW][C]19[/C][C]-0.173653[/C][C]-1.3451[/C][C]0.091826[/C][/ROW]
[ROW][C]20[/C][C]-0.01816[/C][C]-0.1407[/C][C]0.444302[/C][/ROW]
[ROW][C]21[/C][C]-0.111926[/C][C]-0.867[/C][C]0.194706[/C][/ROW]
[ROW][C]22[/C][C]-0.015227[/C][C]-0.1179[/C][C]0.453251[/C][/ROW]
[ROW][C]23[/C][C]-0.048884[/C][C]-0.3787[/C][C]0.353141[/C][/ROW]
[ROW][C]24[/C][C]0.034859[/C][C]0.27[/C][C]0.394036[/C][/ROW]
[ROW][C]25[/C][C]0.006714[/C][C]0.052[/C][C]0.479347[/C][/ROW]
[ROW][C]26[/C][C]0.008072[/C][C]0.0625[/C][C]0.475178[/C][/ROW]
[ROW][C]27[/C][C]-0.010386[/C][C]-0.0804[/C][C]0.468074[/C][/ROW]
[ROW][C]28[/C][C]0.053807[/C][C]0.4168[/C][C]0.33916[/C][/ROW]
[ROW][C]29[/C][C]-0.035353[/C][C]-0.2738[/C][C]0.392573[/C][/ROW]
[ROW][C]30[/C][C]0.115171[/C][C]0.8921[/C][C]0.187948[/C][/ROW]
[ROW][C]31[/C][C]-0.06678[/C][C]-0.5173[/C][C]0.303434[/C][/ROW]
[ROW][C]32[/C][C]0.004225[/C][C]0.0327[/C][C]0.487[/C][/ROW]
[ROW][C]33[/C][C]0.045937[/C][C]0.3558[/C][C]0.36161[/C][/ROW]
[ROW][C]34[/C][C]0.04857[/C][C]0.3762[/C][C]0.35404[/C][/ROW]
[ROW][C]35[/C][C]0.031942[/C][C]0.2474[/C][C]0.402714[/C][/ROW]
[ROW][C]36[/C][C]0.138709[/C][C]1.0744[/C][C]0.143465[/C][/ROW]
[ROW][C]37[/C][C]0.059189[/C][C]0.4585[/C][C]0.324134[/C][/ROW]
[ROW][C]38[/C][C]0.147928[/C][C]1.1458[/C][C]0.128205[/C][/ROW]
[ROW][C]39[/C][C]0.118314[/C][C]0.9165[/C][C]0.181549[/C][/ROW]
[ROW][C]40[/C][C]0.084177[/C][C]0.652[/C][C]0.258435[/C][/ROW]
[ROW][C]41[/C][C]-0.011264[/C][C]-0.0873[/C][C]0.465381[/C][/ROW]
[ROW][C]42[/C][C]0.137998[/C][C]1.0689[/C][C]0.144692[/C][/ROW]
[ROW][C]43[/C][C]-0.053668[/C][C]-0.4157[/C][C]0.339553[/C][/ROW]
[ROW][C]44[/C][C]-0.059228[/C][C]-0.4588[/C][C]0.324027[/C][/ROW]
[ROW][C]45[/C][C]0.004264[/C][C]0.033[/C][C]0.48688[/C][/ROW]
[ROW][C]46[/C][C]-0.049726[/C][C]-0.3852[/C][C]0.350736[/C][/ROW]
[ROW][C]47[/C][C]-0.17265[/C][C]-1.3373[/C][C]0.093079[/C][/ROW]
[ROW][C]48[/C][C]-0.096929[/C][C]-0.7508[/C][C]0.227852[/C][/ROW]
[ROW][C]49[/C][C]-0.107609[/C][C]-0.8335[/C][C]0.203925[/C][/ROW]
[ROW][C]50[/C][C]-0.098614[/C][C]-0.7639[/C][C]0.223972[/C][/ROW]
[ROW][C]51[/C][C]-0.078846[/C][C]-0.6107[/C][C]0.271839[/C][/ROW]
[ROW][C]52[/C][C]-0.076976[/C][C]-0.5963[/C][C]0.276625[/C][/ROW]
[ROW][C]53[/C][C]-0.092891[/C][C]-0.7195[/C][C]0.237304[/C][/ROW]
[ROW][C]54[/C][C]-0.072086[/C][C]-0.5584[/C][C]0.289332[/C][/ROW]
[ROW][C]55[/C][C]-0.067442[/C][C]-0.5224[/C][C]0.301656[/C][/ROW]
[ROW][C]56[/C][C]-0.065982[/C][C]-0.5111[/C][C]0.30558[/C][/ROW]
[ROW][C]57[/C][C]-0.039072[/C][C]-0.3027[/C][C]0.381601[/C][/ROW]
[ROW][C]58[/C][C]-0.00473[/C][C]-0.0366[/C][C]0.485448[/C][/ROW]
[ROW][C]59[/C][C]0.003085[/C][C]0.0239[/C][C]0.490508[/C][/ROW]
[ROW][C]60[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35645&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35645&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
10.1851471.43410.078361
20.2267971.75680.04203
30.2478311.91970.029828
40.0637480.49380.31163
5-0.025631-0.19850.421647
60.1019150.78940.216484
7-0.136646-1.05850.147045
8-0.015661-0.12130.451926
9-0.105892-0.82020.207664
100.0059030.04570.48184
11-0.258939-2.00570.0247
120.0128470.09950.460532
13-0.108624-0.84140.201732
14-0.028781-0.22290.412171
150.0633420.49060.312733
16-0.012023-0.09310.463056
17-0.12505-0.96860.168308
18-0.005163-0.040.484116
19-0.173653-1.34510.091826
20-0.01816-0.14070.444302
21-0.111926-0.8670.194706
22-0.015227-0.11790.453251
23-0.048884-0.37870.353141
240.0348590.270.394036
250.0067140.0520.479347
260.0080720.06250.475178
27-0.010386-0.08040.468074
280.0538070.41680.33916
29-0.035353-0.27380.392573
300.1151710.89210.187948
31-0.06678-0.51730.303434
320.0042250.03270.487
330.0459370.35580.36161
340.048570.37620.35404
350.0319420.24740.402714
360.1387091.07440.143465
370.0591890.45850.324134
380.1479281.14580.128205
390.1183140.91650.181549
400.0841770.6520.258435
41-0.011264-0.08730.465381
420.1379981.06890.144692
43-0.053668-0.41570.339553
44-0.059228-0.45880.324027
450.0042640.0330.48688
46-0.049726-0.38520.350736
47-0.17265-1.33730.093079
48-0.096929-0.75080.227852
49-0.107609-0.83350.203925
50-0.098614-0.76390.223972
51-0.078846-0.61070.271839
52-0.076976-0.59630.276625
53-0.092891-0.71950.237304
54-0.072086-0.55840.289332
55-0.067442-0.52240.301656
56-0.065982-0.51110.30558
57-0.039072-0.30270.381601
58-0.00473-0.03660.485448
590.0030850.02390.490508
60NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.1851471.43410.078361
20.1993511.54420.063903
30.1911941.4810.071922
4-0.042227-0.32710.372369
5-0.127752-0.98960.163181
60.0769140.59580.276784
7-0.14843-1.14970.127408
80.0255440.19790.421911
9-0.099618-0.77160.22168
100.1029340.79730.214203
11-0.262831-2.03590.023092
120.1120.86760.194549
13-0.059229-0.45880.324023
140.0817260.6330.264555
150.0936830.72570.235433
16-0.099859-0.77350.221131
17-0.0856-0.66310.254916
18-0.137404-1.06430.145722
19-0.05191-0.40210.344522
200.0193690.150.440623
21-0.012213-0.09460.462473
220.0085820.06650.47361
230.0037240.02880.488541
240.0274620.21270.416133
250.013420.10390.458778
26-0.006889-0.05340.478812
27-0.028903-0.22390.411804
28-0.024547-0.19010.424919
29-0.041477-0.32130.374558
300.0334450.25910.398235
31-0.074611-0.57790.282735
32-0.00402-0.03110.487631
330.0869720.67370.251551
340.0771380.59750.276207
350.0373920.28960.386548
360.0710540.55040.292051
370.0214530.16620.434289
380.0451790.350.3638
390.0464590.35990.360103
40-0.061923-0.47970.31661
41-0.02343-0.18150.428299
420.0818630.63410.264209
43-0.063416-0.49120.312533
44-0.04853-0.37590.354154
450.0370870.28730.387447
460.0430790.33370.369888
47-0.081766-0.63340.264453
48-0.144432-1.11880.13385
490.0497910.38570.35055
50-0.031454-0.24360.404171
510.0100970.07820.468959
52-0.112368-0.87040.193776
530.0314350.24350.404226
54-0.101263-0.78440.217951
550.0136660.10590.458025
560.0092260.07150.471634
570.0104140.08070.467987
580.0244450.18930.42523
59-0.021999-0.17040.432632
60NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.185147 & 1.4341 & 0.078361 \tabularnewline
2 & 0.199351 & 1.5442 & 0.063903 \tabularnewline
3 & 0.191194 & 1.481 & 0.071922 \tabularnewline
4 & -0.042227 & -0.3271 & 0.372369 \tabularnewline
5 & -0.127752 & -0.9896 & 0.163181 \tabularnewline
6 & 0.076914 & 0.5958 & 0.276784 \tabularnewline
7 & -0.14843 & -1.1497 & 0.127408 \tabularnewline
8 & 0.025544 & 0.1979 & 0.421911 \tabularnewline
9 & -0.099618 & -0.7716 & 0.22168 \tabularnewline
10 & 0.102934 & 0.7973 & 0.214203 \tabularnewline
11 & -0.262831 & -2.0359 & 0.023092 \tabularnewline
12 & 0.112 & 0.8676 & 0.194549 \tabularnewline
13 & -0.059229 & -0.4588 & 0.324023 \tabularnewline
14 & 0.081726 & 0.633 & 0.264555 \tabularnewline
15 & 0.093683 & 0.7257 & 0.235433 \tabularnewline
16 & -0.099859 & -0.7735 & 0.221131 \tabularnewline
17 & -0.0856 & -0.6631 & 0.254916 \tabularnewline
18 & -0.137404 & -1.0643 & 0.145722 \tabularnewline
19 & -0.05191 & -0.4021 & 0.344522 \tabularnewline
20 & 0.019369 & 0.15 & 0.440623 \tabularnewline
21 & -0.012213 & -0.0946 & 0.462473 \tabularnewline
22 & 0.008582 & 0.0665 & 0.47361 \tabularnewline
23 & 0.003724 & 0.0288 & 0.488541 \tabularnewline
24 & 0.027462 & 0.2127 & 0.416133 \tabularnewline
25 & 0.01342 & 0.1039 & 0.458778 \tabularnewline
26 & -0.006889 & -0.0534 & 0.478812 \tabularnewline
27 & -0.028903 & -0.2239 & 0.411804 \tabularnewline
28 & -0.024547 & -0.1901 & 0.424919 \tabularnewline
29 & -0.041477 & -0.3213 & 0.374558 \tabularnewline
30 & 0.033445 & 0.2591 & 0.398235 \tabularnewline
31 & -0.074611 & -0.5779 & 0.282735 \tabularnewline
32 & -0.00402 & -0.0311 & 0.487631 \tabularnewline
33 & 0.086972 & 0.6737 & 0.251551 \tabularnewline
34 & 0.077138 & 0.5975 & 0.276207 \tabularnewline
35 & 0.037392 & 0.2896 & 0.386548 \tabularnewline
36 & 0.071054 & 0.5504 & 0.292051 \tabularnewline
37 & 0.021453 & 0.1662 & 0.434289 \tabularnewline
38 & 0.045179 & 0.35 & 0.3638 \tabularnewline
39 & 0.046459 & 0.3599 & 0.360103 \tabularnewline
40 & -0.061923 & -0.4797 & 0.31661 \tabularnewline
41 & -0.02343 & -0.1815 & 0.428299 \tabularnewline
42 & 0.081863 & 0.6341 & 0.264209 \tabularnewline
43 & -0.063416 & -0.4912 & 0.312533 \tabularnewline
44 & -0.04853 & -0.3759 & 0.354154 \tabularnewline
45 & 0.037087 & 0.2873 & 0.387447 \tabularnewline
46 & 0.043079 & 0.3337 & 0.369888 \tabularnewline
47 & -0.081766 & -0.6334 & 0.264453 \tabularnewline
48 & -0.144432 & -1.1188 & 0.13385 \tabularnewline
49 & 0.049791 & 0.3857 & 0.35055 \tabularnewline
50 & -0.031454 & -0.2436 & 0.404171 \tabularnewline
51 & 0.010097 & 0.0782 & 0.468959 \tabularnewline
52 & -0.112368 & -0.8704 & 0.193776 \tabularnewline
53 & 0.031435 & 0.2435 & 0.404226 \tabularnewline
54 & -0.101263 & -0.7844 & 0.217951 \tabularnewline
55 & 0.013666 & 0.1059 & 0.458025 \tabularnewline
56 & 0.009226 & 0.0715 & 0.471634 \tabularnewline
57 & 0.010414 & 0.0807 & 0.467987 \tabularnewline
58 & 0.024445 & 0.1893 & 0.42523 \tabularnewline
59 & -0.021999 & -0.1704 & 0.432632 \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35645&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]0.185147[/C][C]1.4341[/C][C]0.078361[/C][/ROW]
[ROW][C]2[/C][C]0.199351[/C][C]1.5442[/C][C]0.063903[/C][/ROW]
[ROW][C]3[/C][C]0.191194[/C][C]1.481[/C][C]0.071922[/C][/ROW]
[ROW][C]4[/C][C]-0.042227[/C][C]-0.3271[/C][C]0.372369[/C][/ROW]
[ROW][C]5[/C][C]-0.127752[/C][C]-0.9896[/C][C]0.163181[/C][/ROW]
[ROW][C]6[/C][C]0.076914[/C][C]0.5958[/C][C]0.276784[/C][/ROW]
[ROW][C]7[/C][C]-0.14843[/C][C]-1.1497[/C][C]0.127408[/C][/ROW]
[ROW][C]8[/C][C]0.025544[/C][C]0.1979[/C][C]0.421911[/C][/ROW]
[ROW][C]9[/C][C]-0.099618[/C][C]-0.7716[/C][C]0.22168[/C][/ROW]
[ROW][C]10[/C][C]0.102934[/C][C]0.7973[/C][C]0.214203[/C][/ROW]
[ROW][C]11[/C][C]-0.262831[/C][C]-2.0359[/C][C]0.023092[/C][/ROW]
[ROW][C]12[/C][C]0.112[/C][C]0.8676[/C][C]0.194549[/C][/ROW]
[ROW][C]13[/C][C]-0.059229[/C][C]-0.4588[/C][C]0.324023[/C][/ROW]
[ROW][C]14[/C][C]0.081726[/C][C]0.633[/C][C]0.264555[/C][/ROW]
[ROW][C]15[/C][C]0.093683[/C][C]0.7257[/C][C]0.235433[/C][/ROW]
[ROW][C]16[/C][C]-0.099859[/C][C]-0.7735[/C][C]0.221131[/C][/ROW]
[ROW][C]17[/C][C]-0.0856[/C][C]-0.6631[/C][C]0.254916[/C][/ROW]
[ROW][C]18[/C][C]-0.137404[/C][C]-1.0643[/C][C]0.145722[/C][/ROW]
[ROW][C]19[/C][C]-0.05191[/C][C]-0.4021[/C][C]0.344522[/C][/ROW]
[ROW][C]20[/C][C]0.019369[/C][C]0.15[/C][C]0.440623[/C][/ROW]
[ROW][C]21[/C][C]-0.012213[/C][C]-0.0946[/C][C]0.462473[/C][/ROW]
[ROW][C]22[/C][C]0.008582[/C][C]0.0665[/C][C]0.47361[/C][/ROW]
[ROW][C]23[/C][C]0.003724[/C][C]0.0288[/C][C]0.488541[/C][/ROW]
[ROW][C]24[/C][C]0.027462[/C][C]0.2127[/C][C]0.416133[/C][/ROW]
[ROW][C]25[/C][C]0.01342[/C][C]0.1039[/C][C]0.458778[/C][/ROW]
[ROW][C]26[/C][C]-0.006889[/C][C]-0.0534[/C][C]0.478812[/C][/ROW]
[ROW][C]27[/C][C]-0.028903[/C][C]-0.2239[/C][C]0.411804[/C][/ROW]
[ROW][C]28[/C][C]-0.024547[/C][C]-0.1901[/C][C]0.424919[/C][/ROW]
[ROW][C]29[/C][C]-0.041477[/C][C]-0.3213[/C][C]0.374558[/C][/ROW]
[ROW][C]30[/C][C]0.033445[/C][C]0.2591[/C][C]0.398235[/C][/ROW]
[ROW][C]31[/C][C]-0.074611[/C][C]-0.5779[/C][C]0.282735[/C][/ROW]
[ROW][C]32[/C][C]-0.00402[/C][C]-0.0311[/C][C]0.487631[/C][/ROW]
[ROW][C]33[/C][C]0.086972[/C][C]0.6737[/C][C]0.251551[/C][/ROW]
[ROW][C]34[/C][C]0.077138[/C][C]0.5975[/C][C]0.276207[/C][/ROW]
[ROW][C]35[/C][C]0.037392[/C][C]0.2896[/C][C]0.386548[/C][/ROW]
[ROW][C]36[/C][C]0.071054[/C][C]0.5504[/C][C]0.292051[/C][/ROW]
[ROW][C]37[/C][C]0.021453[/C][C]0.1662[/C][C]0.434289[/C][/ROW]
[ROW][C]38[/C][C]0.045179[/C][C]0.35[/C][C]0.3638[/C][/ROW]
[ROW][C]39[/C][C]0.046459[/C][C]0.3599[/C][C]0.360103[/C][/ROW]
[ROW][C]40[/C][C]-0.061923[/C][C]-0.4797[/C][C]0.31661[/C][/ROW]
[ROW][C]41[/C][C]-0.02343[/C][C]-0.1815[/C][C]0.428299[/C][/ROW]
[ROW][C]42[/C][C]0.081863[/C][C]0.6341[/C][C]0.264209[/C][/ROW]
[ROW][C]43[/C][C]-0.063416[/C][C]-0.4912[/C][C]0.312533[/C][/ROW]
[ROW][C]44[/C][C]-0.04853[/C][C]-0.3759[/C][C]0.354154[/C][/ROW]
[ROW][C]45[/C][C]0.037087[/C][C]0.2873[/C][C]0.387447[/C][/ROW]
[ROW][C]46[/C][C]0.043079[/C][C]0.3337[/C][C]0.369888[/C][/ROW]
[ROW][C]47[/C][C]-0.081766[/C][C]-0.6334[/C][C]0.264453[/C][/ROW]
[ROW][C]48[/C][C]-0.144432[/C][C]-1.1188[/C][C]0.13385[/C][/ROW]
[ROW][C]49[/C][C]0.049791[/C][C]0.3857[/C][C]0.35055[/C][/ROW]
[ROW][C]50[/C][C]-0.031454[/C][C]-0.2436[/C][C]0.404171[/C][/ROW]
[ROW][C]51[/C][C]0.010097[/C][C]0.0782[/C][C]0.468959[/C][/ROW]
[ROW][C]52[/C][C]-0.112368[/C][C]-0.8704[/C][C]0.193776[/C][/ROW]
[ROW][C]53[/C][C]0.031435[/C][C]0.2435[/C][C]0.404226[/C][/ROW]
[ROW][C]54[/C][C]-0.101263[/C][C]-0.7844[/C][C]0.217951[/C][/ROW]
[ROW][C]55[/C][C]0.013666[/C][C]0.1059[/C][C]0.458025[/C][/ROW]
[ROW][C]56[/C][C]0.009226[/C][C]0.0715[/C][C]0.471634[/C][/ROW]
[ROW][C]57[/C][C]0.010414[/C][C]0.0807[/C][C]0.467987[/C][/ROW]
[ROW][C]58[/C][C]0.024445[/C][C]0.1893[/C][C]0.42523[/C][/ROW]
[ROW][C]59[/C][C]-0.021999[/C][C]-0.1704[/C][C]0.432632[/C][/ROW]
[ROW][C]60[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35645&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35645&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
10.1851471.43410.078361
20.1993511.54420.063903
30.1911941.4810.071922
4-0.042227-0.32710.372369
5-0.127752-0.98960.163181
60.0769140.59580.276784
7-0.14843-1.14970.127408
80.0255440.19790.421911
9-0.099618-0.77160.22168
100.1029340.79730.214203
11-0.262831-2.03590.023092
120.1120.86760.194549
13-0.059229-0.45880.324023
140.0817260.6330.264555
150.0936830.72570.235433
16-0.099859-0.77350.221131
17-0.0856-0.66310.254916
18-0.137404-1.06430.145722
19-0.05191-0.40210.344522
200.0193690.150.440623
21-0.012213-0.09460.462473
220.0085820.06650.47361
230.0037240.02880.488541
240.0274620.21270.416133
250.013420.10390.458778
26-0.006889-0.05340.478812
27-0.028903-0.22390.411804
28-0.024547-0.19010.424919
29-0.041477-0.32130.374558
300.0334450.25910.398235
31-0.074611-0.57790.282735
32-0.00402-0.03110.487631
330.0869720.67370.251551
340.0771380.59750.276207
350.0373920.28960.386548
360.0710540.55040.292051
370.0214530.16620.434289
380.0451790.350.3638
390.0464590.35990.360103
40-0.061923-0.47970.31661
41-0.02343-0.18150.428299
420.0818630.63410.264209
43-0.063416-0.49120.312533
44-0.04853-0.37590.354154
450.0370870.28730.387447
460.0430790.33370.369888
47-0.081766-0.63340.264453
48-0.144432-1.11880.13385
490.0497910.38570.35055
50-0.031454-0.24360.404171
510.0100970.07820.468959
52-0.112368-0.87040.193776
530.0314350.24350.404226
54-0.101263-0.78440.217951
550.0136660.10590.458025
560.0092260.07150.471634
570.0104140.08070.467987
580.0244450.18930.42523
59-0.021999-0.17040.432632
60NANANA



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
R code (references can be found in the software module):
if (par1 == 'Default') {
par1 = 10*log10(length(x))
} else {
par1 <- as.numeric(par1)
}
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
par5 <- as.numeric(par5)
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='pic1.png')
racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
dev.off()
(myacf <- c(racf$acf))
(mypacf <- c(rpacf$acf))
lengthx <- length(x)
sqrtn <- sqrt(lengthx)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','ACF(k)','click here for more information about the Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 2:(par1+1)) {
a<-table.row.start(a)
a<-table.element(a,i-1,header=TRUE)
a<-table.element(a,round(myacf[i],6))
mytstat <- myacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Partial Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','PACF(k)','click here for more information about the Partial Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:par1) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,round(mypacf[i],6))
mytstat <- mypacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')