Free Statistics

of Irreproducible Research!

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 computationThu, 04 Dec 2008 10:13:31 -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/04/t1228410866f2ugfelxmm52smf.htm/, Retrieved Wed, 22 May 2024 13:50:29 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=28964, Retrieved Wed, 22 May 2024 13:50:29 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact185
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Uitvoer EU - (Par...] [2008-12-04 17:13:31] [8da7502cfecb272886bc60b3f290b8b8] [Current]
-   PD    [(Partial) Autocorrelation Function] [Uitvoer EU - Part...] [2008-12-04 17:48:53] [9e54d1454d464f1bf9ee4a54d5d56945]
-   P       [(Partial) Autocorrelation Function] [Uitvoer EU - (Par...] [2008-12-04 17:52:47] [9e54d1454d464f1bf9ee4a54d5d56945]
Feedback Forum

Post a new message
Dataseries X:
11178,4
9516,4
12102,8
12989,0
11610,2
10205,5
11356,2
11307,1
12648,6
11947,2
11714,1
12192,5
11268,8
9097,4
12639,8
13040,1
11687,3
11191,7
11391,9
11793,1
13933,2
12778,1
11810,3
13698,4
11956,6
10723,8
13938,9
13979,8
13807,4
12973,9
12509,8
12934,1
14908,3
13772,1
13012,6
14049,9
11816,5
11593,2
14466,2
13615,9
14733,9
13880,7
13527,5
13584,0
16170,2
13260,6
14741,9
15486,5
13154,5
12621,2
15031,6
15452,4
15428
13105,9
14716,8
14180,0
16202,2
14392,4
15140,6
15960,1
14351,3
13230,2
15202,1
17157,3
16159,1
13405,7
17224,7
17338,4
17370,6
18817,8
16593,2
17979,5
17015,2




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=28964&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=28964&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=28964&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'George Udny Yule' @ 72.249.76.132







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.6757585.77370
20.5235634.47331.4e-05
30.5838974.98882e-06
40.5620534.80224e-06
50.5233274.47131.4e-05
60.506094.3242.4e-05
70.3999843.41750.000518
80.4215613.60180.000287
90.356693.04760.001606
100.2514062.1480.017516
110.3289712.81070.003171
120.5157064.40621.8e-05
130.3067522.62090.005332
140.1833091.56620.060814
150.2092961.78820.038945
160.2252571.92460.029088
170.2198941.87880.032134
180.2038481.74170.042889
190.1406261.20150.116718
200.1528141.30560.097887
210.0865120.73920.231091
220.0223780.19120.424452
230.0924570.790.216057
240.1899941.62330.054417
250.0731970.62540.266831
26-0.019149-0.16360.435245
27-0.036809-0.31450.377021
28-0.001456-0.01240.495054
29-0.018228-0.15570.438335
30-0.037508-0.32050.374764
31-0.059794-0.51090.305488
32-0.078553-0.67120.25212
33-0.140269-1.19850.117307
34-0.166011-1.41840.080165
35-0.114178-0.97550.166258
36-0.025382-0.21690.41446
37-0.113687-0.97130.167293
38-0.185662-1.58630.058497
39-0.183069-1.56410.061055
40-0.142606-1.21840.113492
41-0.186168-1.59060.058009
42-0.19856-1.69650.047026
43-0.191957-1.64010.052646
44-0.200787-1.71550.045245
45-0.246567-2.10670.019292
46-0.282278-2.41180.009195
47-0.258901-2.2120.015046
48-0.166419-1.42190.079659
49-0.228476-1.95210.027381
50-0.317633-2.71390.004146
51-0.29235-2.49780.007374
52-0.241821-2.06610.021183
53-0.286815-2.45060.00833
54-0.294093-2.51270.007094
55-0.283079-2.41860.009037
56-0.276902-2.36590.010323
57-0.267068-2.28180.012708
58-0.294131-2.51310.007088
59-0.272253-2.32610.011396
60-0.192436-1.64420.05222

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.675758 & 5.7737 & 0 \tabularnewline
2 & 0.523563 & 4.4733 & 1.4e-05 \tabularnewline
3 & 0.583897 & 4.9888 & 2e-06 \tabularnewline
4 & 0.562053 & 4.8022 & 4e-06 \tabularnewline
5 & 0.523327 & 4.4713 & 1.4e-05 \tabularnewline
6 & 0.50609 & 4.324 & 2.4e-05 \tabularnewline
7 & 0.399984 & 3.4175 & 0.000518 \tabularnewline
8 & 0.421561 & 3.6018 & 0.000287 \tabularnewline
9 & 0.35669 & 3.0476 & 0.001606 \tabularnewline
10 & 0.251406 & 2.148 & 0.017516 \tabularnewline
11 & 0.328971 & 2.8107 & 0.003171 \tabularnewline
12 & 0.515706 & 4.4062 & 1.8e-05 \tabularnewline
13 & 0.306752 & 2.6209 & 0.005332 \tabularnewline
14 & 0.183309 & 1.5662 & 0.060814 \tabularnewline
15 & 0.209296 & 1.7882 & 0.038945 \tabularnewline
16 & 0.225257 & 1.9246 & 0.029088 \tabularnewline
17 & 0.219894 & 1.8788 & 0.032134 \tabularnewline
18 & 0.203848 & 1.7417 & 0.042889 \tabularnewline
19 & 0.140626 & 1.2015 & 0.116718 \tabularnewline
20 & 0.152814 & 1.3056 & 0.097887 \tabularnewline
21 & 0.086512 & 0.7392 & 0.231091 \tabularnewline
22 & 0.022378 & 0.1912 & 0.424452 \tabularnewline
23 & 0.092457 & 0.79 & 0.216057 \tabularnewline
24 & 0.189994 & 1.6233 & 0.054417 \tabularnewline
25 & 0.073197 & 0.6254 & 0.266831 \tabularnewline
26 & -0.019149 & -0.1636 & 0.435245 \tabularnewline
27 & -0.036809 & -0.3145 & 0.377021 \tabularnewline
28 & -0.001456 & -0.0124 & 0.495054 \tabularnewline
29 & -0.018228 & -0.1557 & 0.438335 \tabularnewline
30 & -0.037508 & -0.3205 & 0.374764 \tabularnewline
31 & -0.059794 & -0.5109 & 0.305488 \tabularnewline
32 & -0.078553 & -0.6712 & 0.25212 \tabularnewline
33 & -0.140269 & -1.1985 & 0.117307 \tabularnewline
34 & -0.166011 & -1.4184 & 0.080165 \tabularnewline
35 & -0.114178 & -0.9755 & 0.166258 \tabularnewline
36 & -0.025382 & -0.2169 & 0.41446 \tabularnewline
37 & -0.113687 & -0.9713 & 0.167293 \tabularnewline
38 & -0.185662 & -1.5863 & 0.058497 \tabularnewline
39 & -0.183069 & -1.5641 & 0.061055 \tabularnewline
40 & -0.142606 & -1.2184 & 0.113492 \tabularnewline
41 & -0.186168 & -1.5906 & 0.058009 \tabularnewline
42 & -0.19856 & -1.6965 & 0.047026 \tabularnewline
43 & -0.191957 & -1.6401 & 0.052646 \tabularnewline
44 & -0.200787 & -1.7155 & 0.045245 \tabularnewline
45 & -0.246567 & -2.1067 & 0.019292 \tabularnewline
46 & -0.282278 & -2.4118 & 0.009195 \tabularnewline
47 & -0.258901 & -2.212 & 0.015046 \tabularnewline
48 & -0.166419 & -1.4219 & 0.079659 \tabularnewline
49 & -0.228476 & -1.9521 & 0.027381 \tabularnewline
50 & -0.317633 & -2.7139 & 0.004146 \tabularnewline
51 & -0.29235 & -2.4978 & 0.007374 \tabularnewline
52 & -0.241821 & -2.0661 & 0.021183 \tabularnewline
53 & -0.286815 & -2.4506 & 0.00833 \tabularnewline
54 & -0.294093 & -2.5127 & 0.007094 \tabularnewline
55 & -0.283079 & -2.4186 & 0.009037 \tabularnewline
56 & -0.276902 & -2.3659 & 0.010323 \tabularnewline
57 & -0.267068 & -2.2818 & 0.012708 \tabularnewline
58 & -0.294131 & -2.5131 & 0.007088 \tabularnewline
59 & -0.272253 & -2.3261 & 0.011396 \tabularnewline
60 & -0.192436 & -1.6442 & 0.05222 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=28964&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]0.675758[/C][C]5.7737[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.523563[/C][C]4.4733[/C][C]1.4e-05[/C][/ROW]
[ROW][C]3[/C][C]0.583897[/C][C]4.9888[/C][C]2e-06[/C][/ROW]
[ROW][C]4[/C][C]0.562053[/C][C]4.8022[/C][C]4e-06[/C][/ROW]
[ROW][C]5[/C][C]0.523327[/C][C]4.4713[/C][C]1.4e-05[/C][/ROW]
[ROW][C]6[/C][C]0.50609[/C][C]4.324[/C][C]2.4e-05[/C][/ROW]
[ROW][C]7[/C][C]0.399984[/C][C]3.4175[/C][C]0.000518[/C][/ROW]
[ROW][C]8[/C][C]0.421561[/C][C]3.6018[/C][C]0.000287[/C][/ROW]
[ROW][C]9[/C][C]0.35669[/C][C]3.0476[/C][C]0.001606[/C][/ROW]
[ROW][C]10[/C][C]0.251406[/C][C]2.148[/C][C]0.017516[/C][/ROW]
[ROW][C]11[/C][C]0.328971[/C][C]2.8107[/C][C]0.003171[/C][/ROW]
[ROW][C]12[/C][C]0.515706[/C][C]4.4062[/C][C]1.8e-05[/C][/ROW]
[ROW][C]13[/C][C]0.306752[/C][C]2.6209[/C][C]0.005332[/C][/ROW]
[ROW][C]14[/C][C]0.183309[/C][C]1.5662[/C][C]0.060814[/C][/ROW]
[ROW][C]15[/C][C]0.209296[/C][C]1.7882[/C][C]0.038945[/C][/ROW]
[ROW][C]16[/C][C]0.225257[/C][C]1.9246[/C][C]0.029088[/C][/ROW]
[ROW][C]17[/C][C]0.219894[/C][C]1.8788[/C][C]0.032134[/C][/ROW]
[ROW][C]18[/C][C]0.203848[/C][C]1.7417[/C][C]0.042889[/C][/ROW]
[ROW][C]19[/C][C]0.140626[/C][C]1.2015[/C][C]0.116718[/C][/ROW]
[ROW][C]20[/C][C]0.152814[/C][C]1.3056[/C][C]0.097887[/C][/ROW]
[ROW][C]21[/C][C]0.086512[/C][C]0.7392[/C][C]0.231091[/C][/ROW]
[ROW][C]22[/C][C]0.022378[/C][C]0.1912[/C][C]0.424452[/C][/ROW]
[ROW][C]23[/C][C]0.092457[/C][C]0.79[/C][C]0.216057[/C][/ROW]
[ROW][C]24[/C][C]0.189994[/C][C]1.6233[/C][C]0.054417[/C][/ROW]
[ROW][C]25[/C][C]0.073197[/C][C]0.6254[/C][C]0.266831[/C][/ROW]
[ROW][C]26[/C][C]-0.019149[/C][C]-0.1636[/C][C]0.435245[/C][/ROW]
[ROW][C]27[/C][C]-0.036809[/C][C]-0.3145[/C][C]0.377021[/C][/ROW]
[ROW][C]28[/C][C]-0.001456[/C][C]-0.0124[/C][C]0.495054[/C][/ROW]
[ROW][C]29[/C][C]-0.018228[/C][C]-0.1557[/C][C]0.438335[/C][/ROW]
[ROW][C]30[/C][C]-0.037508[/C][C]-0.3205[/C][C]0.374764[/C][/ROW]
[ROW][C]31[/C][C]-0.059794[/C][C]-0.5109[/C][C]0.305488[/C][/ROW]
[ROW][C]32[/C][C]-0.078553[/C][C]-0.6712[/C][C]0.25212[/C][/ROW]
[ROW][C]33[/C][C]-0.140269[/C][C]-1.1985[/C][C]0.117307[/C][/ROW]
[ROW][C]34[/C][C]-0.166011[/C][C]-1.4184[/C][C]0.080165[/C][/ROW]
[ROW][C]35[/C][C]-0.114178[/C][C]-0.9755[/C][C]0.166258[/C][/ROW]
[ROW][C]36[/C][C]-0.025382[/C][C]-0.2169[/C][C]0.41446[/C][/ROW]
[ROW][C]37[/C][C]-0.113687[/C][C]-0.9713[/C][C]0.167293[/C][/ROW]
[ROW][C]38[/C][C]-0.185662[/C][C]-1.5863[/C][C]0.058497[/C][/ROW]
[ROW][C]39[/C][C]-0.183069[/C][C]-1.5641[/C][C]0.061055[/C][/ROW]
[ROW][C]40[/C][C]-0.142606[/C][C]-1.2184[/C][C]0.113492[/C][/ROW]
[ROW][C]41[/C][C]-0.186168[/C][C]-1.5906[/C][C]0.058009[/C][/ROW]
[ROW][C]42[/C][C]-0.19856[/C][C]-1.6965[/C][C]0.047026[/C][/ROW]
[ROW][C]43[/C][C]-0.191957[/C][C]-1.6401[/C][C]0.052646[/C][/ROW]
[ROW][C]44[/C][C]-0.200787[/C][C]-1.7155[/C][C]0.045245[/C][/ROW]
[ROW][C]45[/C][C]-0.246567[/C][C]-2.1067[/C][C]0.019292[/C][/ROW]
[ROW][C]46[/C][C]-0.282278[/C][C]-2.4118[/C][C]0.009195[/C][/ROW]
[ROW][C]47[/C][C]-0.258901[/C][C]-2.212[/C][C]0.015046[/C][/ROW]
[ROW][C]48[/C][C]-0.166419[/C][C]-1.4219[/C][C]0.079659[/C][/ROW]
[ROW][C]49[/C][C]-0.228476[/C][C]-1.9521[/C][C]0.027381[/C][/ROW]
[ROW][C]50[/C][C]-0.317633[/C][C]-2.7139[/C][C]0.004146[/C][/ROW]
[ROW][C]51[/C][C]-0.29235[/C][C]-2.4978[/C][C]0.007374[/C][/ROW]
[ROW][C]52[/C][C]-0.241821[/C][C]-2.0661[/C][C]0.021183[/C][/ROW]
[ROW][C]53[/C][C]-0.286815[/C][C]-2.4506[/C][C]0.00833[/C][/ROW]
[ROW][C]54[/C][C]-0.294093[/C][C]-2.5127[/C][C]0.007094[/C][/ROW]
[ROW][C]55[/C][C]-0.283079[/C][C]-2.4186[/C][C]0.009037[/C][/ROW]
[ROW][C]56[/C][C]-0.276902[/C][C]-2.3659[/C][C]0.010323[/C][/ROW]
[ROW][C]57[/C][C]-0.267068[/C][C]-2.2818[/C][C]0.012708[/C][/ROW]
[ROW][C]58[/C][C]-0.294131[/C][C]-2.5131[/C][C]0.007088[/C][/ROW]
[ROW][C]59[/C][C]-0.272253[/C][C]-2.3261[/C][C]0.011396[/C][/ROW]
[ROW][C]60[/C][C]-0.192436[/C][C]-1.6442[/C][C]0.05222[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=28964&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=28964&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
10.6757585.77370
20.5235634.47331.4e-05
30.5838974.98882e-06
40.5620534.80224e-06
50.5233274.47131.4e-05
60.506094.3242.4e-05
70.3999843.41750.000518
80.4215613.60180.000287
90.356693.04760.001606
100.2514062.1480.017516
110.3289712.81070.003171
120.5157064.40621.8e-05
130.3067522.62090.005332
140.1833091.56620.060814
150.2092961.78820.038945
160.2252571.92460.029088
170.2198941.87880.032134
180.2038481.74170.042889
190.1406261.20150.116718
200.1528141.30560.097887
210.0865120.73920.231091
220.0223780.19120.424452
230.0924570.790.216057
240.1899941.62330.054417
250.0731970.62540.266831
26-0.019149-0.16360.435245
27-0.036809-0.31450.377021
28-0.001456-0.01240.495054
29-0.018228-0.15570.438335
30-0.037508-0.32050.374764
31-0.059794-0.51090.305488
32-0.078553-0.67120.25212
33-0.140269-1.19850.117307
34-0.166011-1.41840.080165
35-0.114178-0.97550.166258
36-0.025382-0.21690.41446
37-0.113687-0.97130.167293
38-0.185662-1.58630.058497
39-0.183069-1.56410.061055
40-0.142606-1.21840.113492
41-0.186168-1.59060.058009
42-0.19856-1.69650.047026
43-0.191957-1.64010.052646
44-0.200787-1.71550.045245
45-0.246567-2.10670.019292
46-0.282278-2.41180.009195
47-0.258901-2.2120.015046
48-0.166419-1.42190.079659
49-0.228476-1.95210.027381
50-0.317633-2.71390.004146
51-0.29235-2.49780.007374
52-0.241821-2.06610.021183
53-0.286815-2.45060.00833
54-0.294093-2.51270.007094
55-0.283079-2.41860.009037
56-0.276902-2.36590.010323
57-0.267068-2.28180.012708
58-0.294131-2.51310.007088
59-0.272253-2.32610.011396
60-0.192436-1.64420.05222







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.6757585.77370
20.1231511.05220.148088
30.35593.04080.001638
40.1007750.8610.196022
50.1203311.02810.153647
60.0567950.48530.314474
7-0.145454-1.24280.108967
80.1224711.04640.149416
9-0.183223-1.56550.060901
10-0.089541-0.7650.223356
110.1690891.44470.076411
120.445243.80410.000147
13-0.341017-2.91360.002369
14-0.123351-1.05390.1477
15-0.11559-0.98760.163305
160.0376890.3220.37418
17-0.018516-0.15820.437368
180.0531370.4540.325586
190.112780.96360.169215
20-0.113114-0.96640.168506
21-0.052722-0.45050.326857
22-0.00389-0.03320.486789
230.0647840.55350.290801
24-0.109816-0.93830.1756
250.0476760.40730.342473
26-0.012049-0.10290.459145
27-0.096011-0.82030.207351
28-0.015682-0.1340.446892
29-0.093809-0.80150.212721
300.053270.45510.325181
31-0.040269-0.34410.365896
32-0.000888-0.00760.496985
33-0.013137-0.11220.455468
34-0.001741-0.01490.494086
35-0.009411-0.08040.468068
360.0740890.6330.264351
37-0.100959-0.86260.195593
38-0.015332-0.1310.448069
390.0057190.04890.48058
40-0.011856-0.10130.459797
41-0.138532-1.18360.120202
42-0.036127-0.30870.379225
430.0422420.36090.359603
440.0160510.13710.445648
450.0362530.30970.378819
46-0.077574-0.66280.254776
47-0.0391-0.33410.369644
48-0.070495-0.60230.274418
490.0251340.21470.415282
50-0.099521-0.85030.198968
510.040230.34370.36602
520.0129940.1110.455954
53-0.013068-0.11170.455701
54-0.043512-0.37180.355571
55-0.042311-0.36150.359383
560.0004860.00410.49835
570.0589510.50370.308004
580.0631590.53960.295546
590.0096150.08210.467377
60-0.087353-0.74630.228928

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.675758 & 5.7737 & 0 \tabularnewline
2 & 0.123151 & 1.0522 & 0.148088 \tabularnewline
3 & 0.3559 & 3.0408 & 0.001638 \tabularnewline
4 & 0.100775 & 0.861 & 0.196022 \tabularnewline
5 & 0.120331 & 1.0281 & 0.153647 \tabularnewline
6 & 0.056795 & 0.4853 & 0.314474 \tabularnewline
7 & -0.145454 & -1.2428 & 0.108967 \tabularnewline
8 & 0.122471 & 1.0464 & 0.149416 \tabularnewline
9 & -0.183223 & -1.5655 & 0.060901 \tabularnewline
10 & -0.089541 & -0.765 & 0.223356 \tabularnewline
11 & 0.169089 & 1.4447 & 0.076411 \tabularnewline
12 & 0.44524 & 3.8041 & 0.000147 \tabularnewline
13 & -0.341017 & -2.9136 & 0.002369 \tabularnewline
14 & -0.123351 & -1.0539 & 0.1477 \tabularnewline
15 & -0.11559 & -0.9876 & 0.163305 \tabularnewline
16 & 0.037689 & 0.322 & 0.37418 \tabularnewline
17 & -0.018516 & -0.1582 & 0.437368 \tabularnewline
18 & 0.053137 & 0.454 & 0.325586 \tabularnewline
19 & 0.11278 & 0.9636 & 0.169215 \tabularnewline
20 & -0.113114 & -0.9664 & 0.168506 \tabularnewline
21 & -0.052722 & -0.4505 & 0.326857 \tabularnewline
22 & -0.00389 & -0.0332 & 0.486789 \tabularnewline
23 & 0.064784 & 0.5535 & 0.290801 \tabularnewline
24 & -0.109816 & -0.9383 & 0.1756 \tabularnewline
25 & 0.047676 & 0.4073 & 0.342473 \tabularnewline
26 & -0.012049 & -0.1029 & 0.459145 \tabularnewline
27 & -0.096011 & -0.8203 & 0.207351 \tabularnewline
28 & -0.015682 & -0.134 & 0.446892 \tabularnewline
29 & -0.093809 & -0.8015 & 0.212721 \tabularnewline
30 & 0.05327 & 0.4551 & 0.325181 \tabularnewline
31 & -0.040269 & -0.3441 & 0.365896 \tabularnewline
32 & -0.000888 & -0.0076 & 0.496985 \tabularnewline
33 & -0.013137 & -0.1122 & 0.455468 \tabularnewline
34 & -0.001741 & -0.0149 & 0.494086 \tabularnewline
35 & -0.009411 & -0.0804 & 0.468068 \tabularnewline
36 & 0.074089 & 0.633 & 0.264351 \tabularnewline
37 & -0.100959 & -0.8626 & 0.195593 \tabularnewline
38 & -0.015332 & -0.131 & 0.448069 \tabularnewline
39 & 0.005719 & 0.0489 & 0.48058 \tabularnewline
40 & -0.011856 & -0.1013 & 0.459797 \tabularnewline
41 & -0.138532 & -1.1836 & 0.120202 \tabularnewline
42 & -0.036127 & -0.3087 & 0.379225 \tabularnewline
43 & 0.042242 & 0.3609 & 0.359603 \tabularnewline
44 & 0.016051 & 0.1371 & 0.445648 \tabularnewline
45 & 0.036253 & 0.3097 & 0.378819 \tabularnewline
46 & -0.077574 & -0.6628 & 0.254776 \tabularnewline
47 & -0.0391 & -0.3341 & 0.369644 \tabularnewline
48 & -0.070495 & -0.6023 & 0.274418 \tabularnewline
49 & 0.025134 & 0.2147 & 0.415282 \tabularnewline
50 & -0.099521 & -0.8503 & 0.198968 \tabularnewline
51 & 0.04023 & 0.3437 & 0.36602 \tabularnewline
52 & 0.012994 & 0.111 & 0.455954 \tabularnewline
53 & -0.013068 & -0.1117 & 0.455701 \tabularnewline
54 & -0.043512 & -0.3718 & 0.355571 \tabularnewline
55 & -0.042311 & -0.3615 & 0.359383 \tabularnewline
56 & 0.000486 & 0.0041 & 0.49835 \tabularnewline
57 & 0.058951 & 0.5037 & 0.308004 \tabularnewline
58 & 0.063159 & 0.5396 & 0.295546 \tabularnewline
59 & 0.009615 & 0.0821 & 0.467377 \tabularnewline
60 & -0.087353 & -0.7463 & 0.228928 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=28964&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]0.675758[/C][C]5.7737[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.123151[/C][C]1.0522[/C][C]0.148088[/C][/ROW]
[ROW][C]3[/C][C]0.3559[/C][C]3.0408[/C][C]0.001638[/C][/ROW]
[ROW][C]4[/C][C]0.100775[/C][C]0.861[/C][C]0.196022[/C][/ROW]
[ROW][C]5[/C][C]0.120331[/C][C]1.0281[/C][C]0.153647[/C][/ROW]
[ROW][C]6[/C][C]0.056795[/C][C]0.4853[/C][C]0.314474[/C][/ROW]
[ROW][C]7[/C][C]-0.145454[/C][C]-1.2428[/C][C]0.108967[/C][/ROW]
[ROW][C]8[/C][C]0.122471[/C][C]1.0464[/C][C]0.149416[/C][/ROW]
[ROW][C]9[/C][C]-0.183223[/C][C]-1.5655[/C][C]0.060901[/C][/ROW]
[ROW][C]10[/C][C]-0.089541[/C][C]-0.765[/C][C]0.223356[/C][/ROW]
[ROW][C]11[/C][C]0.169089[/C][C]1.4447[/C][C]0.076411[/C][/ROW]
[ROW][C]12[/C][C]0.44524[/C][C]3.8041[/C][C]0.000147[/C][/ROW]
[ROW][C]13[/C][C]-0.341017[/C][C]-2.9136[/C][C]0.002369[/C][/ROW]
[ROW][C]14[/C][C]-0.123351[/C][C]-1.0539[/C][C]0.1477[/C][/ROW]
[ROW][C]15[/C][C]-0.11559[/C][C]-0.9876[/C][C]0.163305[/C][/ROW]
[ROW][C]16[/C][C]0.037689[/C][C]0.322[/C][C]0.37418[/C][/ROW]
[ROW][C]17[/C][C]-0.018516[/C][C]-0.1582[/C][C]0.437368[/C][/ROW]
[ROW][C]18[/C][C]0.053137[/C][C]0.454[/C][C]0.325586[/C][/ROW]
[ROW][C]19[/C][C]0.11278[/C][C]0.9636[/C][C]0.169215[/C][/ROW]
[ROW][C]20[/C][C]-0.113114[/C][C]-0.9664[/C][C]0.168506[/C][/ROW]
[ROW][C]21[/C][C]-0.052722[/C][C]-0.4505[/C][C]0.326857[/C][/ROW]
[ROW][C]22[/C][C]-0.00389[/C][C]-0.0332[/C][C]0.486789[/C][/ROW]
[ROW][C]23[/C][C]0.064784[/C][C]0.5535[/C][C]0.290801[/C][/ROW]
[ROW][C]24[/C][C]-0.109816[/C][C]-0.9383[/C][C]0.1756[/C][/ROW]
[ROW][C]25[/C][C]0.047676[/C][C]0.4073[/C][C]0.342473[/C][/ROW]
[ROW][C]26[/C][C]-0.012049[/C][C]-0.1029[/C][C]0.459145[/C][/ROW]
[ROW][C]27[/C][C]-0.096011[/C][C]-0.8203[/C][C]0.207351[/C][/ROW]
[ROW][C]28[/C][C]-0.015682[/C][C]-0.134[/C][C]0.446892[/C][/ROW]
[ROW][C]29[/C][C]-0.093809[/C][C]-0.8015[/C][C]0.212721[/C][/ROW]
[ROW][C]30[/C][C]0.05327[/C][C]0.4551[/C][C]0.325181[/C][/ROW]
[ROW][C]31[/C][C]-0.040269[/C][C]-0.3441[/C][C]0.365896[/C][/ROW]
[ROW][C]32[/C][C]-0.000888[/C][C]-0.0076[/C][C]0.496985[/C][/ROW]
[ROW][C]33[/C][C]-0.013137[/C][C]-0.1122[/C][C]0.455468[/C][/ROW]
[ROW][C]34[/C][C]-0.001741[/C][C]-0.0149[/C][C]0.494086[/C][/ROW]
[ROW][C]35[/C][C]-0.009411[/C][C]-0.0804[/C][C]0.468068[/C][/ROW]
[ROW][C]36[/C][C]0.074089[/C][C]0.633[/C][C]0.264351[/C][/ROW]
[ROW][C]37[/C][C]-0.100959[/C][C]-0.8626[/C][C]0.195593[/C][/ROW]
[ROW][C]38[/C][C]-0.015332[/C][C]-0.131[/C][C]0.448069[/C][/ROW]
[ROW][C]39[/C][C]0.005719[/C][C]0.0489[/C][C]0.48058[/C][/ROW]
[ROW][C]40[/C][C]-0.011856[/C][C]-0.1013[/C][C]0.459797[/C][/ROW]
[ROW][C]41[/C][C]-0.138532[/C][C]-1.1836[/C][C]0.120202[/C][/ROW]
[ROW][C]42[/C][C]-0.036127[/C][C]-0.3087[/C][C]0.379225[/C][/ROW]
[ROW][C]43[/C][C]0.042242[/C][C]0.3609[/C][C]0.359603[/C][/ROW]
[ROW][C]44[/C][C]0.016051[/C][C]0.1371[/C][C]0.445648[/C][/ROW]
[ROW][C]45[/C][C]0.036253[/C][C]0.3097[/C][C]0.378819[/C][/ROW]
[ROW][C]46[/C][C]-0.077574[/C][C]-0.6628[/C][C]0.254776[/C][/ROW]
[ROW][C]47[/C][C]-0.0391[/C][C]-0.3341[/C][C]0.369644[/C][/ROW]
[ROW][C]48[/C][C]-0.070495[/C][C]-0.6023[/C][C]0.274418[/C][/ROW]
[ROW][C]49[/C][C]0.025134[/C][C]0.2147[/C][C]0.415282[/C][/ROW]
[ROW][C]50[/C][C]-0.099521[/C][C]-0.8503[/C][C]0.198968[/C][/ROW]
[ROW][C]51[/C][C]0.04023[/C][C]0.3437[/C][C]0.36602[/C][/ROW]
[ROW][C]52[/C][C]0.012994[/C][C]0.111[/C][C]0.455954[/C][/ROW]
[ROW][C]53[/C][C]-0.013068[/C][C]-0.1117[/C][C]0.455701[/C][/ROW]
[ROW][C]54[/C][C]-0.043512[/C][C]-0.3718[/C][C]0.355571[/C][/ROW]
[ROW][C]55[/C][C]-0.042311[/C][C]-0.3615[/C][C]0.359383[/C][/ROW]
[ROW][C]56[/C][C]0.000486[/C][C]0.0041[/C][C]0.49835[/C][/ROW]
[ROW][C]57[/C][C]0.058951[/C][C]0.5037[/C][C]0.308004[/C][/ROW]
[ROW][C]58[/C][C]0.063159[/C][C]0.5396[/C][C]0.295546[/C][/ROW]
[ROW][C]59[/C][C]0.009615[/C][C]0.0821[/C][C]0.467377[/C][/ROW]
[ROW][C]60[/C][C]-0.087353[/C][C]-0.7463[/C][C]0.228928[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=28964&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=28964&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
10.6757585.77370
20.1231511.05220.148088
30.35593.04080.001638
40.1007750.8610.196022
50.1203311.02810.153647
60.0567950.48530.314474
7-0.145454-1.24280.108967
80.1224711.04640.149416
9-0.183223-1.56550.060901
10-0.089541-0.7650.223356
110.1690891.44470.076411
120.445243.80410.000147
13-0.341017-2.91360.002369
14-0.123351-1.05390.1477
15-0.11559-0.98760.163305
160.0376890.3220.37418
17-0.018516-0.15820.437368
180.0531370.4540.325586
190.112780.96360.169215
20-0.113114-0.96640.168506
21-0.052722-0.45050.326857
22-0.00389-0.03320.486789
230.0647840.55350.290801
24-0.109816-0.93830.1756
250.0476760.40730.342473
26-0.012049-0.10290.459145
27-0.096011-0.82030.207351
28-0.015682-0.1340.446892
29-0.093809-0.80150.212721
300.053270.45510.325181
31-0.040269-0.34410.365896
32-0.000888-0.00760.496985
33-0.013137-0.11220.455468
34-0.001741-0.01490.494086
35-0.009411-0.08040.468068
360.0740890.6330.264351
37-0.100959-0.86260.195593
38-0.015332-0.1310.448069
390.0057190.04890.48058
40-0.011856-0.10130.459797
41-0.138532-1.18360.120202
42-0.036127-0.30870.379225
430.0422420.36090.359603
440.0160510.13710.445648
450.0362530.30970.378819
46-0.077574-0.66280.254776
47-0.0391-0.33410.369644
48-0.070495-0.60230.274418
490.0251340.21470.415282
50-0.099521-0.85030.198968
510.040230.34370.36602
520.0129940.1110.455954
53-0.013068-0.11170.455701
54-0.043512-0.37180.355571
55-0.042311-0.36150.359383
560.0004860.00410.49835
570.0589510.50370.308004
580.0631590.53960.295546
590.0096150.08210.467377
60-0.087353-0.74630.228928



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')