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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationTue, 02 Jun 2009 04:13:23 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Jun/02/t1243937658lhlreluxmkkezsh.htm/, Retrieved Fri, 10 May 2024 19:34:56 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=41189, Retrieved Fri, 10 May 2024 19:34:56 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact135
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [(Partial) Autocorrelation Function] [Opgave 2, 6bis Ja...] [2009-05-21 12:25:40] [c8528bac4a55a95c146713266fd5749f]
-   PD    [(Partial) Autocorrelation Function] [Opgave 6bis, oefe...] [2009-06-02 10:13:23] [58dac46aef85915ed9cef356d57a9717] [Current]
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Dataseries X:
11310
64305
15310
37299
21302
61308
72300
26303
18301
54305
66309
50301
31298
52291
87286
81288
14293
90302
50306
15310
44310
26314
98313
76310
25313
48309
95307
10320
87327
63328
34333
90333
81332
7342
30424
13344
88347
40339
23330
1339
10341
46342
81342
2342
76350
35368
93367
88377
39376
41366
77375
56382
79397
26385
73397
28404
98413
73414
47423
52431
24441
92439
90441
441
13448
18458
18459
69477
41491
10492
73508
82515
13525
55533
19550
85558
57563
60570
49568
51570
26561
61558
78548
77537
539
18540
47542
86542
81544
16543
22538
25538
99527
63518
95508
65496
5488
96475
81465
5463
81458
74445
21434
67427
27418
81407
82395
97359




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=41189&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=41189&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41189&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.458404-4.74183e-06
2-0.094866-0.98130.164329
30.0472990.48930.312827
4-0.098273-1.01650.155833
50.1441341.49090.06946
60.1740581.80050.037302
7-0.343941-3.55780.000279
80.1585531.64010.051962
9-0.0597-0.61750.269093
100.0540060.55860.288788
110.0059990.06210.475319
120.011760.12160.451705
13-0.113688-1.1760.121103
140.0756320.78230.21787
150.0208780.2160.414715
160.0401850.41570.33924
17-0.053071-0.5490.292084
18-0.053642-0.55490.290069
190.0272610.2820.389247
200.0140190.1450.442485
210.0778870.80570.21111
22-0.028492-0.29470.38439
23-0.109969-1.13750.12893
240.0031980.03310.486835
250.1024491.05970.145826
26-0.012144-0.12560.450133
270.0661690.68450.247582
28-0.12648-1.30830.096785
29-0.076713-0.79350.214613
300.1249461.29250.099492
310.0790390.81760.207704
32-0.136871-1.41580.079868
330.1183031.22370.11187
34-0.150339-1.55510.061436
350.0143160.14810.441277
360.1798831.86070.032765
37-0.09737-1.00720.158055
38-0.140946-1.4580.073891
390.2025222.09490.01927
40-0.154848-1.60180.056078
410.1529841.58250.058245
42-0.037325-0.38610.350099
43-0.112026-1.15880.124557
440.0291850.30190.38166
450.0704830.72910.233772
46-0.045829-0.47410.31821
470.0773730.80040.21264
48-0.049984-0.5170.3031
49-0.066236-0.68510.247366
50-0.004941-0.05110.479668
510.1662971.72020.044144
52-0.161961-1.67530.048394
530.130871.35370.089338
54-0.120179-1.24310.108267
55-0.053916-0.55770.289105
560.1827151.890.030731
57-0.062856-0.65020.258481
58-0.040355-0.41740.338598
59-0.006276-0.06490.474178
60-0.042151-0.4360.331853

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.458404 & -4.7418 & 3e-06 \tabularnewline
2 & -0.094866 & -0.9813 & 0.164329 \tabularnewline
3 & 0.047299 & 0.4893 & 0.312827 \tabularnewline
4 & -0.098273 & -1.0165 & 0.155833 \tabularnewline
5 & 0.144134 & 1.4909 & 0.06946 \tabularnewline
6 & 0.174058 & 1.8005 & 0.037302 \tabularnewline
7 & -0.343941 & -3.5578 & 0.000279 \tabularnewline
8 & 0.158553 & 1.6401 & 0.051962 \tabularnewline
9 & -0.0597 & -0.6175 & 0.269093 \tabularnewline
10 & 0.054006 & 0.5586 & 0.288788 \tabularnewline
11 & 0.005999 & 0.0621 & 0.475319 \tabularnewline
12 & 0.01176 & 0.1216 & 0.451705 \tabularnewline
13 & -0.113688 & -1.176 & 0.121103 \tabularnewline
14 & 0.075632 & 0.7823 & 0.21787 \tabularnewline
15 & 0.020878 & 0.216 & 0.414715 \tabularnewline
16 & 0.040185 & 0.4157 & 0.33924 \tabularnewline
17 & -0.053071 & -0.549 & 0.292084 \tabularnewline
18 & -0.053642 & -0.5549 & 0.290069 \tabularnewline
19 & 0.027261 & 0.282 & 0.389247 \tabularnewline
20 & 0.014019 & 0.145 & 0.442485 \tabularnewline
21 & 0.077887 & 0.8057 & 0.21111 \tabularnewline
22 & -0.028492 & -0.2947 & 0.38439 \tabularnewline
23 & -0.109969 & -1.1375 & 0.12893 \tabularnewline
24 & 0.003198 & 0.0331 & 0.486835 \tabularnewline
25 & 0.102449 & 1.0597 & 0.145826 \tabularnewline
26 & -0.012144 & -0.1256 & 0.450133 \tabularnewline
27 & 0.066169 & 0.6845 & 0.247582 \tabularnewline
28 & -0.12648 & -1.3083 & 0.096785 \tabularnewline
29 & -0.076713 & -0.7935 & 0.214613 \tabularnewline
30 & 0.124946 & 1.2925 & 0.099492 \tabularnewline
31 & 0.079039 & 0.8176 & 0.207704 \tabularnewline
32 & -0.136871 & -1.4158 & 0.079868 \tabularnewline
33 & 0.118303 & 1.2237 & 0.11187 \tabularnewline
34 & -0.150339 & -1.5551 & 0.061436 \tabularnewline
35 & 0.014316 & 0.1481 & 0.441277 \tabularnewline
36 & 0.179883 & 1.8607 & 0.032765 \tabularnewline
37 & -0.09737 & -1.0072 & 0.158055 \tabularnewline
38 & -0.140946 & -1.458 & 0.073891 \tabularnewline
39 & 0.202522 & 2.0949 & 0.01927 \tabularnewline
40 & -0.154848 & -1.6018 & 0.056078 \tabularnewline
41 & 0.152984 & 1.5825 & 0.058245 \tabularnewline
42 & -0.037325 & -0.3861 & 0.350099 \tabularnewline
43 & -0.112026 & -1.1588 & 0.124557 \tabularnewline
44 & 0.029185 & 0.3019 & 0.38166 \tabularnewline
45 & 0.070483 & 0.7291 & 0.233772 \tabularnewline
46 & -0.045829 & -0.4741 & 0.31821 \tabularnewline
47 & 0.077373 & 0.8004 & 0.21264 \tabularnewline
48 & -0.049984 & -0.517 & 0.3031 \tabularnewline
49 & -0.066236 & -0.6851 & 0.247366 \tabularnewline
50 & -0.004941 & -0.0511 & 0.479668 \tabularnewline
51 & 0.166297 & 1.7202 & 0.044144 \tabularnewline
52 & -0.161961 & -1.6753 & 0.048394 \tabularnewline
53 & 0.13087 & 1.3537 & 0.089338 \tabularnewline
54 & -0.120179 & -1.2431 & 0.108267 \tabularnewline
55 & -0.053916 & -0.5577 & 0.289105 \tabularnewline
56 & 0.182715 & 1.89 & 0.030731 \tabularnewline
57 & -0.062856 & -0.6502 & 0.258481 \tabularnewline
58 & -0.040355 & -0.4174 & 0.338598 \tabularnewline
59 & -0.006276 & -0.0649 & 0.474178 \tabularnewline
60 & -0.042151 & -0.436 & 0.331853 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=41189&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]-0.458404[/C][C]-4.7418[/C][C]3e-06[/C][/ROW]
[ROW][C]2[/C][C]-0.094866[/C][C]-0.9813[/C][C]0.164329[/C][/ROW]
[ROW][C]3[/C][C]0.047299[/C][C]0.4893[/C][C]0.312827[/C][/ROW]
[ROW][C]4[/C][C]-0.098273[/C][C]-1.0165[/C][C]0.155833[/C][/ROW]
[ROW][C]5[/C][C]0.144134[/C][C]1.4909[/C][C]0.06946[/C][/ROW]
[ROW][C]6[/C][C]0.174058[/C][C]1.8005[/C][C]0.037302[/C][/ROW]
[ROW][C]7[/C][C]-0.343941[/C][C]-3.5578[/C][C]0.000279[/C][/ROW]
[ROW][C]8[/C][C]0.158553[/C][C]1.6401[/C][C]0.051962[/C][/ROW]
[ROW][C]9[/C][C]-0.0597[/C][C]-0.6175[/C][C]0.269093[/C][/ROW]
[ROW][C]10[/C][C]0.054006[/C][C]0.5586[/C][C]0.288788[/C][/ROW]
[ROW][C]11[/C][C]0.005999[/C][C]0.0621[/C][C]0.475319[/C][/ROW]
[ROW][C]12[/C][C]0.01176[/C][C]0.1216[/C][C]0.451705[/C][/ROW]
[ROW][C]13[/C][C]-0.113688[/C][C]-1.176[/C][C]0.121103[/C][/ROW]
[ROW][C]14[/C][C]0.075632[/C][C]0.7823[/C][C]0.21787[/C][/ROW]
[ROW][C]15[/C][C]0.020878[/C][C]0.216[/C][C]0.414715[/C][/ROW]
[ROW][C]16[/C][C]0.040185[/C][C]0.4157[/C][C]0.33924[/C][/ROW]
[ROW][C]17[/C][C]-0.053071[/C][C]-0.549[/C][C]0.292084[/C][/ROW]
[ROW][C]18[/C][C]-0.053642[/C][C]-0.5549[/C][C]0.290069[/C][/ROW]
[ROW][C]19[/C][C]0.027261[/C][C]0.282[/C][C]0.389247[/C][/ROW]
[ROW][C]20[/C][C]0.014019[/C][C]0.145[/C][C]0.442485[/C][/ROW]
[ROW][C]21[/C][C]0.077887[/C][C]0.8057[/C][C]0.21111[/C][/ROW]
[ROW][C]22[/C][C]-0.028492[/C][C]-0.2947[/C][C]0.38439[/C][/ROW]
[ROW][C]23[/C][C]-0.109969[/C][C]-1.1375[/C][C]0.12893[/C][/ROW]
[ROW][C]24[/C][C]0.003198[/C][C]0.0331[/C][C]0.486835[/C][/ROW]
[ROW][C]25[/C][C]0.102449[/C][C]1.0597[/C][C]0.145826[/C][/ROW]
[ROW][C]26[/C][C]-0.012144[/C][C]-0.1256[/C][C]0.450133[/C][/ROW]
[ROW][C]27[/C][C]0.066169[/C][C]0.6845[/C][C]0.247582[/C][/ROW]
[ROW][C]28[/C][C]-0.12648[/C][C]-1.3083[/C][C]0.096785[/C][/ROW]
[ROW][C]29[/C][C]-0.076713[/C][C]-0.7935[/C][C]0.214613[/C][/ROW]
[ROW][C]30[/C][C]0.124946[/C][C]1.2925[/C][C]0.099492[/C][/ROW]
[ROW][C]31[/C][C]0.079039[/C][C]0.8176[/C][C]0.207704[/C][/ROW]
[ROW][C]32[/C][C]-0.136871[/C][C]-1.4158[/C][C]0.079868[/C][/ROW]
[ROW][C]33[/C][C]0.118303[/C][C]1.2237[/C][C]0.11187[/C][/ROW]
[ROW][C]34[/C][C]-0.150339[/C][C]-1.5551[/C][C]0.061436[/C][/ROW]
[ROW][C]35[/C][C]0.014316[/C][C]0.1481[/C][C]0.441277[/C][/ROW]
[ROW][C]36[/C][C]0.179883[/C][C]1.8607[/C][C]0.032765[/C][/ROW]
[ROW][C]37[/C][C]-0.09737[/C][C]-1.0072[/C][C]0.158055[/C][/ROW]
[ROW][C]38[/C][C]-0.140946[/C][C]-1.458[/C][C]0.073891[/C][/ROW]
[ROW][C]39[/C][C]0.202522[/C][C]2.0949[/C][C]0.01927[/C][/ROW]
[ROW][C]40[/C][C]-0.154848[/C][C]-1.6018[/C][C]0.056078[/C][/ROW]
[ROW][C]41[/C][C]0.152984[/C][C]1.5825[/C][C]0.058245[/C][/ROW]
[ROW][C]42[/C][C]-0.037325[/C][C]-0.3861[/C][C]0.350099[/C][/ROW]
[ROW][C]43[/C][C]-0.112026[/C][C]-1.1588[/C][C]0.124557[/C][/ROW]
[ROW][C]44[/C][C]0.029185[/C][C]0.3019[/C][C]0.38166[/C][/ROW]
[ROW][C]45[/C][C]0.070483[/C][C]0.7291[/C][C]0.233772[/C][/ROW]
[ROW][C]46[/C][C]-0.045829[/C][C]-0.4741[/C][C]0.31821[/C][/ROW]
[ROW][C]47[/C][C]0.077373[/C][C]0.8004[/C][C]0.21264[/C][/ROW]
[ROW][C]48[/C][C]-0.049984[/C][C]-0.517[/C][C]0.3031[/C][/ROW]
[ROW][C]49[/C][C]-0.066236[/C][C]-0.6851[/C][C]0.247366[/C][/ROW]
[ROW][C]50[/C][C]-0.004941[/C][C]-0.0511[/C][C]0.479668[/C][/ROW]
[ROW][C]51[/C][C]0.166297[/C][C]1.7202[/C][C]0.044144[/C][/ROW]
[ROW][C]52[/C][C]-0.161961[/C][C]-1.6753[/C][C]0.048394[/C][/ROW]
[ROW][C]53[/C][C]0.13087[/C][C]1.3537[/C][C]0.089338[/C][/ROW]
[ROW][C]54[/C][C]-0.120179[/C][C]-1.2431[/C][C]0.108267[/C][/ROW]
[ROW][C]55[/C][C]-0.053916[/C][C]-0.5577[/C][C]0.289105[/C][/ROW]
[ROW][C]56[/C][C]0.182715[/C][C]1.89[/C][C]0.030731[/C][/ROW]
[ROW][C]57[/C][C]-0.062856[/C][C]-0.6502[/C][C]0.258481[/C][/ROW]
[ROW][C]58[/C][C]-0.040355[/C][C]-0.4174[/C][C]0.338598[/C][/ROW]
[ROW][C]59[/C][C]-0.006276[/C][C]-0.0649[/C][C]0.474178[/C][/ROW]
[ROW][C]60[/C][C]-0.042151[/C][C]-0.436[/C][C]0.331853[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=41189&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41189&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
1-0.458404-4.74183e-06
2-0.094866-0.98130.164329
30.0472990.48930.312827
4-0.098273-1.01650.155833
50.1441341.49090.06946
60.1740581.80050.037302
7-0.343941-3.55780.000279
80.1585531.64010.051962
9-0.0597-0.61750.269093
100.0540060.55860.288788
110.0059990.06210.475319
120.011760.12160.451705
13-0.113688-1.1760.121103
140.0756320.78230.21787
150.0208780.2160.414715
160.0401850.41570.33924
17-0.053071-0.5490.292084
18-0.053642-0.55490.290069
190.0272610.2820.389247
200.0140190.1450.442485
210.0778870.80570.21111
22-0.028492-0.29470.38439
23-0.109969-1.13750.12893
240.0031980.03310.486835
250.1024491.05970.145826
26-0.012144-0.12560.450133
270.0661690.68450.247582
28-0.12648-1.30830.096785
29-0.076713-0.79350.214613
300.1249461.29250.099492
310.0790390.81760.207704
32-0.136871-1.41580.079868
330.1183031.22370.11187
34-0.150339-1.55510.061436
350.0143160.14810.441277
360.1798831.86070.032765
37-0.09737-1.00720.158055
38-0.140946-1.4580.073891
390.2025222.09490.01927
40-0.154848-1.60180.056078
410.1529841.58250.058245
42-0.037325-0.38610.350099
43-0.112026-1.15880.124557
440.0291850.30190.38166
450.0704830.72910.233772
46-0.045829-0.47410.31821
470.0773730.80040.21264
48-0.049984-0.5170.3031
49-0.066236-0.68510.247366
50-0.004941-0.05110.479668
510.1662971.72020.044144
52-0.161961-1.67530.048394
530.130871.35370.089338
54-0.120179-1.24310.108267
55-0.053916-0.55770.289105
560.1827151.890.030731
57-0.062856-0.65020.258481
58-0.040355-0.41740.338598
59-0.006276-0.06490.474178
60-0.042151-0.4360.331853







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.458404-4.74183e-06
2-0.386142-3.99436e-05
3-0.282682-2.92410.002109
4-0.39831-4.12023.7e-05
5-0.269511-2.78780.00314
60.1538431.59140.057239
7-0.09488-0.98140.164293
80.0384370.39760.34586
9-0.052051-0.53840.295701
100.0093750.0970.461463
11-0.117057-1.21080.114311
12-0.011742-0.12150.451778
13-0.071321-0.73780.23114
14-0.120911-1.25070.106884
15-0.028314-0.29290.385091
160.0599470.62010.268256
170.0935170.96730.167777
18-0.024813-0.25670.398964
190.0240450.24870.402025
20-0.11313-1.17020.122255
21-0.000373-0.00390.498463
220.0541160.55980.2884
230.0113810.11770.453253
24-0.10196-1.05470.146974
25-0.027521-0.28470.38822
26-0.0091-0.09410.462589
270.102941.06480.144676
280.1184491.22520.111586
29-0.042872-0.44350.329158
30-0.072687-0.75190.226887
31-0.00305-0.03150.487445
32-0.113234-1.17130.12204
330.0577950.59780.275607
340.0538160.55670.289454
35-0.049042-0.50730.306496
360.061670.63790.262443
370.0830130.85870.196215
38-0.141445-1.46310.073183
39-0.001445-0.01490.494052
40-0.038487-0.39810.345669
410.0374480.38740.349628
420.001830.01890.492465
430.0500580.51780.302832
440.0090670.09380.462726
45-0.049378-0.51080.305281
46-0.048361-0.50030.308961
47-0.068889-0.71260.238825
480.0722980.74790.228094
490.0143580.14850.441104
50-0.031241-0.32320.373603
510.1282131.32620.093791
52-0.121275-1.25450.106201
530.0674680.69790.243378
54-0.003916-0.04050.483881
55-0.125199-1.29510.099042
560.0139080.14390.44294
57-0.025199-0.26070.397429
58-0.001916-0.01980.492111
59-0.076779-0.79420.214416
60-0.026435-0.27340.392518

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.458404 & -4.7418 & 3e-06 \tabularnewline
2 & -0.386142 & -3.9943 & 6e-05 \tabularnewline
3 & -0.282682 & -2.9241 & 0.002109 \tabularnewline
4 & -0.39831 & -4.1202 & 3.7e-05 \tabularnewline
5 & -0.269511 & -2.7878 & 0.00314 \tabularnewline
6 & 0.153843 & 1.5914 & 0.057239 \tabularnewline
7 & -0.09488 & -0.9814 & 0.164293 \tabularnewline
8 & 0.038437 & 0.3976 & 0.34586 \tabularnewline
9 & -0.052051 & -0.5384 & 0.295701 \tabularnewline
10 & 0.009375 & 0.097 & 0.461463 \tabularnewline
11 & -0.117057 & -1.2108 & 0.114311 \tabularnewline
12 & -0.011742 & -0.1215 & 0.451778 \tabularnewline
13 & -0.071321 & -0.7378 & 0.23114 \tabularnewline
14 & -0.120911 & -1.2507 & 0.106884 \tabularnewline
15 & -0.028314 & -0.2929 & 0.385091 \tabularnewline
16 & 0.059947 & 0.6201 & 0.268256 \tabularnewline
17 & 0.093517 & 0.9673 & 0.167777 \tabularnewline
18 & -0.024813 & -0.2567 & 0.398964 \tabularnewline
19 & 0.024045 & 0.2487 & 0.402025 \tabularnewline
20 & -0.11313 & -1.1702 & 0.122255 \tabularnewline
21 & -0.000373 & -0.0039 & 0.498463 \tabularnewline
22 & 0.054116 & 0.5598 & 0.2884 \tabularnewline
23 & 0.011381 & 0.1177 & 0.453253 \tabularnewline
24 & -0.10196 & -1.0547 & 0.146974 \tabularnewline
25 & -0.027521 & -0.2847 & 0.38822 \tabularnewline
26 & -0.0091 & -0.0941 & 0.462589 \tabularnewline
27 & 0.10294 & 1.0648 & 0.144676 \tabularnewline
28 & 0.118449 & 1.2252 & 0.111586 \tabularnewline
29 & -0.042872 & -0.4435 & 0.329158 \tabularnewline
30 & -0.072687 & -0.7519 & 0.226887 \tabularnewline
31 & -0.00305 & -0.0315 & 0.487445 \tabularnewline
32 & -0.113234 & -1.1713 & 0.12204 \tabularnewline
33 & 0.057795 & 0.5978 & 0.275607 \tabularnewline
34 & 0.053816 & 0.5567 & 0.289454 \tabularnewline
35 & -0.049042 & -0.5073 & 0.306496 \tabularnewline
36 & 0.06167 & 0.6379 & 0.262443 \tabularnewline
37 & 0.083013 & 0.8587 & 0.196215 \tabularnewline
38 & -0.141445 & -1.4631 & 0.073183 \tabularnewline
39 & -0.001445 & -0.0149 & 0.494052 \tabularnewline
40 & -0.038487 & -0.3981 & 0.345669 \tabularnewline
41 & 0.037448 & 0.3874 & 0.349628 \tabularnewline
42 & 0.00183 & 0.0189 & 0.492465 \tabularnewline
43 & 0.050058 & 0.5178 & 0.302832 \tabularnewline
44 & 0.009067 & 0.0938 & 0.462726 \tabularnewline
45 & -0.049378 & -0.5108 & 0.305281 \tabularnewline
46 & -0.048361 & -0.5003 & 0.308961 \tabularnewline
47 & -0.068889 & -0.7126 & 0.238825 \tabularnewline
48 & 0.072298 & 0.7479 & 0.228094 \tabularnewline
49 & 0.014358 & 0.1485 & 0.441104 \tabularnewline
50 & -0.031241 & -0.3232 & 0.373603 \tabularnewline
51 & 0.128213 & 1.3262 & 0.093791 \tabularnewline
52 & -0.121275 & -1.2545 & 0.106201 \tabularnewline
53 & 0.067468 & 0.6979 & 0.243378 \tabularnewline
54 & -0.003916 & -0.0405 & 0.483881 \tabularnewline
55 & -0.125199 & -1.2951 & 0.099042 \tabularnewline
56 & 0.013908 & 0.1439 & 0.44294 \tabularnewline
57 & -0.025199 & -0.2607 & 0.397429 \tabularnewline
58 & -0.001916 & -0.0198 & 0.492111 \tabularnewline
59 & -0.076779 & -0.7942 & 0.214416 \tabularnewline
60 & -0.026435 & -0.2734 & 0.392518 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=41189&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]-0.458404[/C][C]-4.7418[/C][C]3e-06[/C][/ROW]
[ROW][C]2[/C][C]-0.386142[/C][C]-3.9943[/C][C]6e-05[/C][/ROW]
[ROW][C]3[/C][C]-0.282682[/C][C]-2.9241[/C][C]0.002109[/C][/ROW]
[ROW][C]4[/C][C]-0.39831[/C][C]-4.1202[/C][C]3.7e-05[/C][/ROW]
[ROW][C]5[/C][C]-0.269511[/C][C]-2.7878[/C][C]0.00314[/C][/ROW]
[ROW][C]6[/C][C]0.153843[/C][C]1.5914[/C][C]0.057239[/C][/ROW]
[ROW][C]7[/C][C]-0.09488[/C][C]-0.9814[/C][C]0.164293[/C][/ROW]
[ROW][C]8[/C][C]0.038437[/C][C]0.3976[/C][C]0.34586[/C][/ROW]
[ROW][C]9[/C][C]-0.052051[/C][C]-0.5384[/C][C]0.295701[/C][/ROW]
[ROW][C]10[/C][C]0.009375[/C][C]0.097[/C][C]0.461463[/C][/ROW]
[ROW][C]11[/C][C]-0.117057[/C][C]-1.2108[/C][C]0.114311[/C][/ROW]
[ROW][C]12[/C][C]-0.011742[/C][C]-0.1215[/C][C]0.451778[/C][/ROW]
[ROW][C]13[/C][C]-0.071321[/C][C]-0.7378[/C][C]0.23114[/C][/ROW]
[ROW][C]14[/C][C]-0.120911[/C][C]-1.2507[/C][C]0.106884[/C][/ROW]
[ROW][C]15[/C][C]-0.028314[/C][C]-0.2929[/C][C]0.385091[/C][/ROW]
[ROW][C]16[/C][C]0.059947[/C][C]0.6201[/C][C]0.268256[/C][/ROW]
[ROW][C]17[/C][C]0.093517[/C][C]0.9673[/C][C]0.167777[/C][/ROW]
[ROW][C]18[/C][C]-0.024813[/C][C]-0.2567[/C][C]0.398964[/C][/ROW]
[ROW][C]19[/C][C]0.024045[/C][C]0.2487[/C][C]0.402025[/C][/ROW]
[ROW][C]20[/C][C]-0.11313[/C][C]-1.1702[/C][C]0.122255[/C][/ROW]
[ROW][C]21[/C][C]-0.000373[/C][C]-0.0039[/C][C]0.498463[/C][/ROW]
[ROW][C]22[/C][C]0.054116[/C][C]0.5598[/C][C]0.2884[/C][/ROW]
[ROW][C]23[/C][C]0.011381[/C][C]0.1177[/C][C]0.453253[/C][/ROW]
[ROW][C]24[/C][C]-0.10196[/C][C]-1.0547[/C][C]0.146974[/C][/ROW]
[ROW][C]25[/C][C]-0.027521[/C][C]-0.2847[/C][C]0.38822[/C][/ROW]
[ROW][C]26[/C][C]-0.0091[/C][C]-0.0941[/C][C]0.462589[/C][/ROW]
[ROW][C]27[/C][C]0.10294[/C][C]1.0648[/C][C]0.144676[/C][/ROW]
[ROW][C]28[/C][C]0.118449[/C][C]1.2252[/C][C]0.111586[/C][/ROW]
[ROW][C]29[/C][C]-0.042872[/C][C]-0.4435[/C][C]0.329158[/C][/ROW]
[ROW][C]30[/C][C]-0.072687[/C][C]-0.7519[/C][C]0.226887[/C][/ROW]
[ROW][C]31[/C][C]-0.00305[/C][C]-0.0315[/C][C]0.487445[/C][/ROW]
[ROW][C]32[/C][C]-0.113234[/C][C]-1.1713[/C][C]0.12204[/C][/ROW]
[ROW][C]33[/C][C]0.057795[/C][C]0.5978[/C][C]0.275607[/C][/ROW]
[ROW][C]34[/C][C]0.053816[/C][C]0.5567[/C][C]0.289454[/C][/ROW]
[ROW][C]35[/C][C]-0.049042[/C][C]-0.5073[/C][C]0.306496[/C][/ROW]
[ROW][C]36[/C][C]0.06167[/C][C]0.6379[/C][C]0.262443[/C][/ROW]
[ROW][C]37[/C][C]0.083013[/C][C]0.8587[/C][C]0.196215[/C][/ROW]
[ROW][C]38[/C][C]-0.141445[/C][C]-1.4631[/C][C]0.073183[/C][/ROW]
[ROW][C]39[/C][C]-0.001445[/C][C]-0.0149[/C][C]0.494052[/C][/ROW]
[ROW][C]40[/C][C]-0.038487[/C][C]-0.3981[/C][C]0.345669[/C][/ROW]
[ROW][C]41[/C][C]0.037448[/C][C]0.3874[/C][C]0.349628[/C][/ROW]
[ROW][C]42[/C][C]0.00183[/C][C]0.0189[/C][C]0.492465[/C][/ROW]
[ROW][C]43[/C][C]0.050058[/C][C]0.5178[/C][C]0.302832[/C][/ROW]
[ROW][C]44[/C][C]0.009067[/C][C]0.0938[/C][C]0.462726[/C][/ROW]
[ROW][C]45[/C][C]-0.049378[/C][C]-0.5108[/C][C]0.305281[/C][/ROW]
[ROW][C]46[/C][C]-0.048361[/C][C]-0.5003[/C][C]0.308961[/C][/ROW]
[ROW][C]47[/C][C]-0.068889[/C][C]-0.7126[/C][C]0.238825[/C][/ROW]
[ROW][C]48[/C][C]0.072298[/C][C]0.7479[/C][C]0.228094[/C][/ROW]
[ROW][C]49[/C][C]0.014358[/C][C]0.1485[/C][C]0.441104[/C][/ROW]
[ROW][C]50[/C][C]-0.031241[/C][C]-0.3232[/C][C]0.373603[/C][/ROW]
[ROW][C]51[/C][C]0.128213[/C][C]1.3262[/C][C]0.093791[/C][/ROW]
[ROW][C]52[/C][C]-0.121275[/C][C]-1.2545[/C][C]0.106201[/C][/ROW]
[ROW][C]53[/C][C]0.067468[/C][C]0.6979[/C][C]0.243378[/C][/ROW]
[ROW][C]54[/C][C]-0.003916[/C][C]-0.0405[/C][C]0.483881[/C][/ROW]
[ROW][C]55[/C][C]-0.125199[/C][C]-1.2951[/C][C]0.099042[/C][/ROW]
[ROW][C]56[/C][C]0.013908[/C][C]0.1439[/C][C]0.44294[/C][/ROW]
[ROW][C]57[/C][C]-0.025199[/C][C]-0.2607[/C][C]0.397429[/C][/ROW]
[ROW][C]58[/C][C]-0.001916[/C][C]-0.0198[/C][C]0.492111[/C][/ROW]
[ROW][C]59[/C][C]-0.076779[/C][C]-0.7942[/C][C]0.214416[/C][/ROW]
[ROW][C]60[/C][C]-0.026435[/C][C]-0.2734[/C][C]0.392518[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=41189&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41189&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
1-0.458404-4.74183e-06
2-0.386142-3.99436e-05
3-0.282682-2.92410.002109
4-0.39831-4.12023.7e-05
5-0.269511-2.78780.00314
60.1538431.59140.057239
7-0.09488-0.98140.164293
80.0384370.39760.34586
9-0.052051-0.53840.295701
100.0093750.0970.461463
11-0.117057-1.21080.114311
12-0.011742-0.12150.451778
13-0.071321-0.73780.23114
14-0.120911-1.25070.106884
15-0.028314-0.29290.385091
160.0599470.62010.268256
170.0935170.96730.167777
18-0.024813-0.25670.398964
190.0240450.24870.402025
20-0.11313-1.17020.122255
21-0.000373-0.00390.498463
220.0541160.55980.2884
230.0113810.11770.453253
24-0.10196-1.05470.146974
25-0.027521-0.28470.38822
26-0.0091-0.09410.462589
270.102941.06480.144676
280.1184491.22520.111586
29-0.042872-0.44350.329158
30-0.072687-0.75190.226887
31-0.00305-0.03150.487445
32-0.113234-1.17130.12204
330.0577950.59780.275607
340.0538160.55670.289454
35-0.049042-0.50730.306496
360.061670.63790.262443
370.0830130.85870.196215
38-0.141445-1.46310.073183
39-0.001445-0.01490.494052
40-0.038487-0.39810.345669
410.0374480.38740.349628
420.001830.01890.492465
430.0500580.51780.302832
440.0090670.09380.462726
45-0.049378-0.51080.305281
46-0.048361-0.50030.308961
47-0.068889-0.71260.238825
480.0722980.74790.228094
490.0143580.14850.441104
50-0.031241-0.32320.373603
510.1282131.32620.093791
52-0.121275-1.25450.106201
530.0674680.69790.243378
54-0.003916-0.04050.483881
55-0.125199-1.29510.099042
560.0139080.14390.44294
57-0.025199-0.26070.397429
58-0.001916-0.01980.492111
59-0.076779-0.79420.214416
60-0.026435-0.27340.392518



Parameters (Session):
par1 = 0.1 ; par2 = 0.99 ; par3 = 0.1 ;
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 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')