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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 computationThu, 26 Nov 2009 11:17:15 -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/2009/Nov/26/t1259259520yusf8b37w3mgqjs.htm/, Retrieved Mon, 29 Apr 2024 07:43:20 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=60223, Retrieved Mon, 29 Apr 2024 07:43:20 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact126
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Explorative Data Analysis] [Run Sequence gebo...] [2008-12-12 13:32:37] [76963dc1903f0f612b6153510a3818cf]
- R  D  [Univariate Explorative Data Analysis] [Run Sequence gebo...] [2008-12-17 12:14:40] [76963dc1903f0f612b6153510a3818cf]
-         [Univariate Explorative Data Analysis] [Run Sequence Plot...] [2008-12-22 18:19:51] [1ce0d16c8f4225c977b42c8fa93bc163]
- RMP       [(Partial) Autocorrelation Function] [Identifying Integ...] [2009-11-22 12:16:10] [b98453cac15ba1066b407e146608df68]
-   PD          [(Partial) Autocorrelation Function] [cs.shw.ws8.v1.1] [2009-11-26 18:17:15] [47f146dd9fb230449e079c6cbc92f5f5] [Current]
-   P             [(Partial) Autocorrelation Function] [] [2009-11-30 16:53:41] [3af9fa3d2c04a43d660a9a466bdfbaa0]
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Dataseries X:
10570
10297
10635
10872
10296
10383
10431
10574
10653
10805
10872
10625
10407
10463
10556
10646
10702
11353
11346
11451
11964
12574
13031
13812
14544
14931
14886
16005
17064
15168
16050
15839
15137
14954
15648
15305
15579
16348
15928
16171
15937
15713
15594
15683
16438
17032
17696
17745
19394
20148
20108
18584
18441
18391
19178
18079
18483
19644
19195
19650




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 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 & 0 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=60223&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]0 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=60223&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=60223&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 time0 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.9483147.34560
20.8992386.96550
30.8492466.57820
40.8027486.21810
50.7514485.82070
60.6960235.39141e-06
70.6481295.02042e-06
80.6010984.65619e-06
90.555614.30373.1e-05
100.4933023.82110.000159
110.4297113.32850.000748
120.3658652.8340.003127
130.3134612.42810.009098
140.2597922.01230.02434
150.2116421.63940.053185
160.1703591.31960.095992
170.1386041.07360.143645
180.1120120.86760.194523
190.0806760.62490.267198
200.0507260.39290.347886
210.0156870.12150.451847
22-0.015959-0.12360.451015
23-0.055498-0.42990.33441
24-0.085718-0.6640.254627
25-0.109086-0.8450.20074
26-0.134241-1.03980.151296
27-0.159398-1.23470.11088
28-0.178818-1.38510.085573
29-0.194046-1.50310.069032
30-0.228503-1.770.040906
31-0.248336-1.92360.029576
32-0.285916-2.21470.015295
33-0.321192-2.48790.007822
34-0.348688-2.70090.004487
35-0.372481-2.88520.002713
36-0.395591-3.06420.001634
37-0.411769-3.18950.001133
38-0.418119-3.23870.000979
39-0.422504-3.27270.000885
40-0.422299-3.27110.000889
41-0.421297-3.26340.00091
42-0.420795-3.25950.000921
43-0.421319-3.26350.000909
44-0.416526-3.22640.001016
45-0.405231-3.13890.001315
46-0.388436-3.00880.001915
47-0.367192-2.84430.00304
48-0.346514-2.68410.004694
49-0.316102-2.44850.008642
50-0.282222-2.18610.016361
51-0.248101-1.92180.029693
52-0.223998-1.73510.04393
53-0.200068-1.54970.063233
54-0.173431-1.34340.092103
55-0.142957-1.10730.136284
56-0.118711-0.91950.18075
57-0.095933-0.74310.230162
58-0.06422-0.49740.310346
59-0.032473-0.25150.401129
60NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.948314 & 7.3456 & 0 \tabularnewline
2 & 0.899238 & 6.9655 & 0 \tabularnewline
3 & 0.849246 & 6.5782 & 0 \tabularnewline
4 & 0.802748 & 6.2181 & 0 \tabularnewline
5 & 0.751448 & 5.8207 & 0 \tabularnewline
6 & 0.696023 & 5.3914 & 1e-06 \tabularnewline
7 & 0.648129 & 5.0204 & 2e-06 \tabularnewline
8 & 0.601098 & 4.6561 & 9e-06 \tabularnewline
9 & 0.55561 & 4.3037 & 3.1e-05 \tabularnewline
10 & 0.493302 & 3.8211 & 0.000159 \tabularnewline
11 & 0.429711 & 3.3285 & 0.000748 \tabularnewline
12 & 0.365865 & 2.834 & 0.003127 \tabularnewline
13 & 0.313461 & 2.4281 & 0.009098 \tabularnewline
14 & 0.259792 & 2.0123 & 0.02434 \tabularnewline
15 & 0.211642 & 1.6394 & 0.053185 \tabularnewline
16 & 0.170359 & 1.3196 & 0.095992 \tabularnewline
17 & 0.138604 & 1.0736 & 0.143645 \tabularnewline
18 & 0.112012 & 0.8676 & 0.194523 \tabularnewline
19 & 0.080676 & 0.6249 & 0.267198 \tabularnewline
20 & 0.050726 & 0.3929 & 0.347886 \tabularnewline
21 & 0.015687 & 0.1215 & 0.451847 \tabularnewline
22 & -0.015959 & -0.1236 & 0.451015 \tabularnewline
23 & -0.055498 & -0.4299 & 0.33441 \tabularnewline
24 & -0.085718 & -0.664 & 0.254627 \tabularnewline
25 & -0.109086 & -0.845 & 0.20074 \tabularnewline
26 & -0.134241 & -1.0398 & 0.151296 \tabularnewline
27 & -0.159398 & -1.2347 & 0.11088 \tabularnewline
28 & -0.178818 & -1.3851 & 0.085573 \tabularnewline
29 & -0.194046 & -1.5031 & 0.069032 \tabularnewline
30 & -0.228503 & -1.77 & 0.040906 \tabularnewline
31 & -0.248336 & -1.9236 & 0.029576 \tabularnewline
32 & -0.285916 & -2.2147 & 0.015295 \tabularnewline
33 & -0.321192 & -2.4879 & 0.007822 \tabularnewline
34 & -0.348688 & -2.7009 & 0.004487 \tabularnewline
35 & -0.372481 & -2.8852 & 0.002713 \tabularnewline
36 & -0.395591 & -3.0642 & 0.001634 \tabularnewline
37 & -0.411769 & -3.1895 & 0.001133 \tabularnewline
38 & -0.418119 & -3.2387 & 0.000979 \tabularnewline
39 & -0.422504 & -3.2727 & 0.000885 \tabularnewline
40 & -0.422299 & -3.2711 & 0.000889 \tabularnewline
41 & -0.421297 & -3.2634 & 0.00091 \tabularnewline
42 & -0.420795 & -3.2595 & 0.000921 \tabularnewline
43 & -0.421319 & -3.2635 & 0.000909 \tabularnewline
44 & -0.416526 & -3.2264 & 0.001016 \tabularnewline
45 & -0.405231 & -3.1389 & 0.001315 \tabularnewline
46 & -0.388436 & -3.0088 & 0.001915 \tabularnewline
47 & -0.367192 & -2.8443 & 0.00304 \tabularnewline
48 & -0.346514 & -2.6841 & 0.004694 \tabularnewline
49 & -0.316102 & -2.4485 & 0.008642 \tabularnewline
50 & -0.282222 & -2.1861 & 0.016361 \tabularnewline
51 & -0.248101 & -1.9218 & 0.029693 \tabularnewline
52 & -0.223998 & -1.7351 & 0.04393 \tabularnewline
53 & -0.200068 & -1.5497 & 0.063233 \tabularnewline
54 & -0.173431 & -1.3434 & 0.092103 \tabularnewline
55 & -0.142957 & -1.1073 & 0.136284 \tabularnewline
56 & -0.118711 & -0.9195 & 0.18075 \tabularnewline
57 & -0.095933 & -0.7431 & 0.230162 \tabularnewline
58 & -0.06422 & -0.4974 & 0.310346 \tabularnewline
59 & -0.032473 & -0.2515 & 0.401129 \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=60223&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]0.948314[/C][C]7.3456[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.899238[/C][C]6.9655[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.849246[/C][C]6.5782[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.802748[/C][C]6.2181[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.751448[/C][C]5.8207[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.696023[/C][C]5.3914[/C][C]1e-06[/C][/ROW]
[ROW][C]7[/C][C]0.648129[/C][C]5.0204[/C][C]2e-06[/C][/ROW]
[ROW][C]8[/C][C]0.601098[/C][C]4.6561[/C][C]9e-06[/C][/ROW]
[ROW][C]9[/C][C]0.55561[/C][C]4.3037[/C][C]3.1e-05[/C][/ROW]
[ROW][C]10[/C][C]0.493302[/C][C]3.8211[/C][C]0.000159[/C][/ROW]
[ROW][C]11[/C][C]0.429711[/C][C]3.3285[/C][C]0.000748[/C][/ROW]
[ROW][C]12[/C][C]0.365865[/C][C]2.834[/C][C]0.003127[/C][/ROW]
[ROW][C]13[/C][C]0.313461[/C][C]2.4281[/C][C]0.009098[/C][/ROW]
[ROW][C]14[/C][C]0.259792[/C][C]2.0123[/C][C]0.02434[/C][/ROW]
[ROW][C]15[/C][C]0.211642[/C][C]1.6394[/C][C]0.053185[/C][/ROW]
[ROW][C]16[/C][C]0.170359[/C][C]1.3196[/C][C]0.095992[/C][/ROW]
[ROW][C]17[/C][C]0.138604[/C][C]1.0736[/C][C]0.143645[/C][/ROW]
[ROW][C]18[/C][C]0.112012[/C][C]0.8676[/C][C]0.194523[/C][/ROW]
[ROW][C]19[/C][C]0.080676[/C][C]0.6249[/C][C]0.267198[/C][/ROW]
[ROW][C]20[/C][C]0.050726[/C][C]0.3929[/C][C]0.347886[/C][/ROW]
[ROW][C]21[/C][C]0.015687[/C][C]0.1215[/C][C]0.451847[/C][/ROW]
[ROW][C]22[/C][C]-0.015959[/C][C]-0.1236[/C][C]0.451015[/C][/ROW]
[ROW][C]23[/C][C]-0.055498[/C][C]-0.4299[/C][C]0.33441[/C][/ROW]
[ROW][C]24[/C][C]-0.085718[/C][C]-0.664[/C][C]0.254627[/C][/ROW]
[ROW][C]25[/C][C]-0.109086[/C][C]-0.845[/C][C]0.20074[/C][/ROW]
[ROW][C]26[/C][C]-0.134241[/C][C]-1.0398[/C][C]0.151296[/C][/ROW]
[ROW][C]27[/C][C]-0.159398[/C][C]-1.2347[/C][C]0.11088[/C][/ROW]
[ROW][C]28[/C][C]-0.178818[/C][C]-1.3851[/C][C]0.085573[/C][/ROW]
[ROW][C]29[/C][C]-0.194046[/C][C]-1.5031[/C][C]0.069032[/C][/ROW]
[ROW][C]30[/C][C]-0.228503[/C][C]-1.77[/C][C]0.040906[/C][/ROW]
[ROW][C]31[/C][C]-0.248336[/C][C]-1.9236[/C][C]0.029576[/C][/ROW]
[ROW][C]32[/C][C]-0.285916[/C][C]-2.2147[/C][C]0.015295[/C][/ROW]
[ROW][C]33[/C][C]-0.321192[/C][C]-2.4879[/C][C]0.007822[/C][/ROW]
[ROW][C]34[/C][C]-0.348688[/C][C]-2.7009[/C][C]0.004487[/C][/ROW]
[ROW][C]35[/C][C]-0.372481[/C][C]-2.8852[/C][C]0.002713[/C][/ROW]
[ROW][C]36[/C][C]-0.395591[/C][C]-3.0642[/C][C]0.001634[/C][/ROW]
[ROW][C]37[/C][C]-0.411769[/C][C]-3.1895[/C][C]0.001133[/C][/ROW]
[ROW][C]38[/C][C]-0.418119[/C][C]-3.2387[/C][C]0.000979[/C][/ROW]
[ROW][C]39[/C][C]-0.422504[/C][C]-3.2727[/C][C]0.000885[/C][/ROW]
[ROW][C]40[/C][C]-0.422299[/C][C]-3.2711[/C][C]0.000889[/C][/ROW]
[ROW][C]41[/C][C]-0.421297[/C][C]-3.2634[/C][C]0.00091[/C][/ROW]
[ROW][C]42[/C][C]-0.420795[/C][C]-3.2595[/C][C]0.000921[/C][/ROW]
[ROW][C]43[/C][C]-0.421319[/C][C]-3.2635[/C][C]0.000909[/C][/ROW]
[ROW][C]44[/C][C]-0.416526[/C][C]-3.2264[/C][C]0.001016[/C][/ROW]
[ROW][C]45[/C][C]-0.405231[/C][C]-3.1389[/C][C]0.001315[/C][/ROW]
[ROW][C]46[/C][C]-0.388436[/C][C]-3.0088[/C][C]0.001915[/C][/ROW]
[ROW][C]47[/C][C]-0.367192[/C][C]-2.8443[/C][C]0.00304[/C][/ROW]
[ROW][C]48[/C][C]-0.346514[/C][C]-2.6841[/C][C]0.004694[/C][/ROW]
[ROW][C]49[/C][C]-0.316102[/C][C]-2.4485[/C][C]0.008642[/C][/ROW]
[ROW][C]50[/C][C]-0.282222[/C][C]-2.1861[/C][C]0.016361[/C][/ROW]
[ROW][C]51[/C][C]-0.248101[/C][C]-1.9218[/C][C]0.029693[/C][/ROW]
[ROW][C]52[/C][C]-0.223998[/C][C]-1.7351[/C][C]0.04393[/C][/ROW]
[ROW][C]53[/C][C]-0.200068[/C][C]-1.5497[/C][C]0.063233[/C][/ROW]
[ROW][C]54[/C][C]-0.173431[/C][C]-1.3434[/C][C]0.092103[/C][/ROW]
[ROW][C]55[/C][C]-0.142957[/C][C]-1.1073[/C][C]0.136284[/C][/ROW]
[ROW][C]56[/C][C]-0.118711[/C][C]-0.9195[/C][C]0.18075[/C][/ROW]
[ROW][C]57[/C][C]-0.095933[/C][C]-0.7431[/C][C]0.230162[/C][/ROW]
[ROW][C]58[/C][C]-0.06422[/C][C]-0.4974[/C][C]0.310346[/C][/ROW]
[ROW][C]59[/C][C]-0.032473[/C][C]-0.2515[/C][C]0.401129[/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=60223&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=60223&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
10.9483147.34560
20.8992386.96550
30.8492466.57820
40.8027486.21810
50.7514485.82070
60.6960235.39141e-06
70.6481295.02042e-06
80.6010984.65619e-06
90.555614.30373.1e-05
100.4933023.82110.000159
110.4297113.32850.000748
120.3658652.8340.003127
130.3134612.42810.009098
140.2597922.01230.02434
150.2116421.63940.053185
160.1703591.31960.095992
170.1386041.07360.143645
180.1120120.86760.194523
190.0806760.62490.267198
200.0507260.39290.347886
210.0156870.12150.451847
22-0.015959-0.12360.451015
23-0.055498-0.42990.33441
24-0.085718-0.6640.254627
25-0.109086-0.8450.20074
26-0.134241-1.03980.151296
27-0.159398-1.23470.11088
28-0.178818-1.38510.085573
29-0.194046-1.50310.069032
30-0.228503-1.770.040906
31-0.248336-1.92360.029576
32-0.285916-2.21470.015295
33-0.321192-2.48790.007822
34-0.348688-2.70090.004487
35-0.372481-2.88520.002713
36-0.395591-3.06420.001634
37-0.411769-3.18950.001133
38-0.418119-3.23870.000979
39-0.422504-3.27270.000885
40-0.422299-3.27110.000889
41-0.421297-3.26340.00091
42-0.420795-3.25950.000921
43-0.421319-3.26350.000909
44-0.416526-3.22640.001016
45-0.405231-3.13890.001315
46-0.388436-3.00880.001915
47-0.367192-2.84430.00304
48-0.346514-2.68410.004694
49-0.316102-2.44850.008642
50-0.282222-2.18610.016361
51-0.248101-1.92180.029693
52-0.223998-1.73510.04393
53-0.200068-1.54970.063233
54-0.173431-1.34340.092103
55-0.142957-1.10730.136284
56-0.118711-0.91950.18075
57-0.095933-0.74310.230162
58-0.06422-0.49740.310346
59-0.032473-0.25150.401129
60NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9483147.34560
2-0.000611-0.00470.49812
3-0.034316-0.26580.395648
40.0072890.05650.477582
5-0.071882-0.55680.28987
6-0.07324-0.56730.286309
70.042650.33040.371137
8-0.019368-0.150.440624
9-0.01575-0.1220.451655
10-0.189404-1.46710.073783
11-0.068228-0.52850.299554
12-0.052014-0.40290.344227
130.0652910.50570.307446
14-0.033875-0.26240.396957
150.029020.22480.411454
160.0186770.14470.442727
170.0513270.39760.346176
180.016680.12920.448816
19-0.036457-0.28240.389307
20-0.017557-0.1360.446138
21-0.08083-0.62610.266809
22-0.042164-0.32660.372553
23-0.110773-0.8580.197141
240.0376450.29160.385799
250.0315490.24440.403886
26-0.079719-0.61750.269621
27-0.049053-0.380.352659
280.0447210.34640.365123
290.011780.09130.463799
30-0.199786-1.54750.063496
310.1247560.96640.168873
32-0.193657-1.50010.069422
33-0.075208-0.58260.281185
340.0457980.35470.362012
35-0.021372-0.16550.434536
36-0.054504-0.42220.3372
370.0535710.4150.339825
380.0164860.12770.449406
390.0265730.20580.418808
400.0284890.22070.413046
410.0555240.43010.334335
42-0.085062-0.65890.256244
43-0.022828-0.17680.43012
44-0.025342-0.19630.42252
450.0450040.34860.364305
46-0.011694-0.09060.464063
470.0134110.10390.458805
48-0.040134-0.31090.378485
490.078130.60520.273668
500.0574510.4450.328954
510.0314720.24380.404117
52-0.027561-0.21350.415834
53-0.039411-0.30530.380605
540.0131180.10160.459702
550.0649270.50290.308429
56-0.111605-0.86450.195381
570.000220.00170.499324
580.1048820.81240.209882
59-0.022065-0.17090.432432
60NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.948314 & 7.3456 & 0 \tabularnewline
2 & -0.000611 & -0.0047 & 0.49812 \tabularnewline
3 & -0.034316 & -0.2658 & 0.395648 \tabularnewline
4 & 0.007289 & 0.0565 & 0.477582 \tabularnewline
5 & -0.071882 & -0.5568 & 0.28987 \tabularnewline
6 & -0.07324 & -0.5673 & 0.286309 \tabularnewline
7 & 0.04265 & 0.3304 & 0.371137 \tabularnewline
8 & -0.019368 & -0.15 & 0.440624 \tabularnewline
9 & -0.01575 & -0.122 & 0.451655 \tabularnewline
10 & -0.189404 & -1.4671 & 0.073783 \tabularnewline
11 & -0.068228 & -0.5285 & 0.299554 \tabularnewline
12 & -0.052014 & -0.4029 & 0.344227 \tabularnewline
13 & 0.065291 & 0.5057 & 0.307446 \tabularnewline
14 & -0.033875 & -0.2624 & 0.396957 \tabularnewline
15 & 0.02902 & 0.2248 & 0.411454 \tabularnewline
16 & 0.018677 & 0.1447 & 0.442727 \tabularnewline
17 & 0.051327 & 0.3976 & 0.346176 \tabularnewline
18 & 0.01668 & 0.1292 & 0.448816 \tabularnewline
19 & -0.036457 & -0.2824 & 0.389307 \tabularnewline
20 & -0.017557 & -0.136 & 0.446138 \tabularnewline
21 & -0.08083 & -0.6261 & 0.266809 \tabularnewline
22 & -0.042164 & -0.3266 & 0.372553 \tabularnewline
23 & -0.110773 & -0.858 & 0.197141 \tabularnewline
24 & 0.037645 & 0.2916 & 0.385799 \tabularnewline
25 & 0.031549 & 0.2444 & 0.403886 \tabularnewline
26 & -0.079719 & -0.6175 & 0.269621 \tabularnewline
27 & -0.049053 & -0.38 & 0.352659 \tabularnewline
28 & 0.044721 & 0.3464 & 0.365123 \tabularnewline
29 & 0.01178 & 0.0913 & 0.463799 \tabularnewline
30 & -0.199786 & -1.5475 & 0.063496 \tabularnewline
31 & 0.124756 & 0.9664 & 0.168873 \tabularnewline
32 & -0.193657 & -1.5001 & 0.069422 \tabularnewline
33 & -0.075208 & -0.5826 & 0.281185 \tabularnewline
34 & 0.045798 & 0.3547 & 0.362012 \tabularnewline
35 & -0.021372 & -0.1655 & 0.434536 \tabularnewline
36 & -0.054504 & -0.4222 & 0.3372 \tabularnewline
37 & 0.053571 & 0.415 & 0.339825 \tabularnewline
38 & 0.016486 & 0.1277 & 0.449406 \tabularnewline
39 & 0.026573 & 0.2058 & 0.418808 \tabularnewline
40 & 0.028489 & 0.2207 & 0.413046 \tabularnewline
41 & 0.055524 & 0.4301 & 0.334335 \tabularnewline
42 & -0.085062 & -0.6589 & 0.256244 \tabularnewline
43 & -0.022828 & -0.1768 & 0.43012 \tabularnewline
44 & -0.025342 & -0.1963 & 0.42252 \tabularnewline
45 & 0.045004 & 0.3486 & 0.364305 \tabularnewline
46 & -0.011694 & -0.0906 & 0.464063 \tabularnewline
47 & 0.013411 & 0.1039 & 0.458805 \tabularnewline
48 & -0.040134 & -0.3109 & 0.378485 \tabularnewline
49 & 0.07813 & 0.6052 & 0.273668 \tabularnewline
50 & 0.057451 & 0.445 & 0.328954 \tabularnewline
51 & 0.031472 & 0.2438 & 0.404117 \tabularnewline
52 & -0.027561 & -0.2135 & 0.415834 \tabularnewline
53 & -0.039411 & -0.3053 & 0.380605 \tabularnewline
54 & 0.013118 & 0.1016 & 0.459702 \tabularnewline
55 & 0.064927 & 0.5029 & 0.308429 \tabularnewline
56 & -0.111605 & -0.8645 & 0.195381 \tabularnewline
57 & 0.00022 & 0.0017 & 0.499324 \tabularnewline
58 & 0.104882 & 0.8124 & 0.209882 \tabularnewline
59 & -0.022065 & -0.1709 & 0.432432 \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=60223&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]0.948314[/C][C]7.3456[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.000611[/C][C]-0.0047[/C][C]0.49812[/C][/ROW]
[ROW][C]3[/C][C]-0.034316[/C][C]-0.2658[/C][C]0.395648[/C][/ROW]
[ROW][C]4[/C][C]0.007289[/C][C]0.0565[/C][C]0.477582[/C][/ROW]
[ROW][C]5[/C][C]-0.071882[/C][C]-0.5568[/C][C]0.28987[/C][/ROW]
[ROW][C]6[/C][C]-0.07324[/C][C]-0.5673[/C][C]0.286309[/C][/ROW]
[ROW][C]7[/C][C]0.04265[/C][C]0.3304[/C][C]0.371137[/C][/ROW]
[ROW][C]8[/C][C]-0.019368[/C][C]-0.15[/C][C]0.440624[/C][/ROW]
[ROW][C]9[/C][C]-0.01575[/C][C]-0.122[/C][C]0.451655[/C][/ROW]
[ROW][C]10[/C][C]-0.189404[/C][C]-1.4671[/C][C]0.073783[/C][/ROW]
[ROW][C]11[/C][C]-0.068228[/C][C]-0.5285[/C][C]0.299554[/C][/ROW]
[ROW][C]12[/C][C]-0.052014[/C][C]-0.4029[/C][C]0.344227[/C][/ROW]
[ROW][C]13[/C][C]0.065291[/C][C]0.5057[/C][C]0.307446[/C][/ROW]
[ROW][C]14[/C][C]-0.033875[/C][C]-0.2624[/C][C]0.396957[/C][/ROW]
[ROW][C]15[/C][C]0.02902[/C][C]0.2248[/C][C]0.411454[/C][/ROW]
[ROW][C]16[/C][C]0.018677[/C][C]0.1447[/C][C]0.442727[/C][/ROW]
[ROW][C]17[/C][C]0.051327[/C][C]0.3976[/C][C]0.346176[/C][/ROW]
[ROW][C]18[/C][C]0.01668[/C][C]0.1292[/C][C]0.448816[/C][/ROW]
[ROW][C]19[/C][C]-0.036457[/C][C]-0.2824[/C][C]0.389307[/C][/ROW]
[ROW][C]20[/C][C]-0.017557[/C][C]-0.136[/C][C]0.446138[/C][/ROW]
[ROW][C]21[/C][C]-0.08083[/C][C]-0.6261[/C][C]0.266809[/C][/ROW]
[ROW][C]22[/C][C]-0.042164[/C][C]-0.3266[/C][C]0.372553[/C][/ROW]
[ROW][C]23[/C][C]-0.110773[/C][C]-0.858[/C][C]0.197141[/C][/ROW]
[ROW][C]24[/C][C]0.037645[/C][C]0.2916[/C][C]0.385799[/C][/ROW]
[ROW][C]25[/C][C]0.031549[/C][C]0.2444[/C][C]0.403886[/C][/ROW]
[ROW][C]26[/C][C]-0.079719[/C][C]-0.6175[/C][C]0.269621[/C][/ROW]
[ROW][C]27[/C][C]-0.049053[/C][C]-0.38[/C][C]0.352659[/C][/ROW]
[ROW][C]28[/C][C]0.044721[/C][C]0.3464[/C][C]0.365123[/C][/ROW]
[ROW][C]29[/C][C]0.01178[/C][C]0.0913[/C][C]0.463799[/C][/ROW]
[ROW][C]30[/C][C]-0.199786[/C][C]-1.5475[/C][C]0.063496[/C][/ROW]
[ROW][C]31[/C][C]0.124756[/C][C]0.9664[/C][C]0.168873[/C][/ROW]
[ROW][C]32[/C][C]-0.193657[/C][C]-1.5001[/C][C]0.069422[/C][/ROW]
[ROW][C]33[/C][C]-0.075208[/C][C]-0.5826[/C][C]0.281185[/C][/ROW]
[ROW][C]34[/C][C]0.045798[/C][C]0.3547[/C][C]0.362012[/C][/ROW]
[ROW][C]35[/C][C]-0.021372[/C][C]-0.1655[/C][C]0.434536[/C][/ROW]
[ROW][C]36[/C][C]-0.054504[/C][C]-0.4222[/C][C]0.3372[/C][/ROW]
[ROW][C]37[/C][C]0.053571[/C][C]0.415[/C][C]0.339825[/C][/ROW]
[ROW][C]38[/C][C]0.016486[/C][C]0.1277[/C][C]0.449406[/C][/ROW]
[ROW][C]39[/C][C]0.026573[/C][C]0.2058[/C][C]0.418808[/C][/ROW]
[ROW][C]40[/C][C]0.028489[/C][C]0.2207[/C][C]0.413046[/C][/ROW]
[ROW][C]41[/C][C]0.055524[/C][C]0.4301[/C][C]0.334335[/C][/ROW]
[ROW][C]42[/C][C]-0.085062[/C][C]-0.6589[/C][C]0.256244[/C][/ROW]
[ROW][C]43[/C][C]-0.022828[/C][C]-0.1768[/C][C]0.43012[/C][/ROW]
[ROW][C]44[/C][C]-0.025342[/C][C]-0.1963[/C][C]0.42252[/C][/ROW]
[ROW][C]45[/C][C]0.045004[/C][C]0.3486[/C][C]0.364305[/C][/ROW]
[ROW][C]46[/C][C]-0.011694[/C][C]-0.0906[/C][C]0.464063[/C][/ROW]
[ROW][C]47[/C][C]0.013411[/C][C]0.1039[/C][C]0.458805[/C][/ROW]
[ROW][C]48[/C][C]-0.040134[/C][C]-0.3109[/C][C]0.378485[/C][/ROW]
[ROW][C]49[/C][C]0.07813[/C][C]0.6052[/C][C]0.273668[/C][/ROW]
[ROW][C]50[/C][C]0.057451[/C][C]0.445[/C][C]0.328954[/C][/ROW]
[ROW][C]51[/C][C]0.031472[/C][C]0.2438[/C][C]0.404117[/C][/ROW]
[ROW][C]52[/C][C]-0.027561[/C][C]-0.2135[/C][C]0.415834[/C][/ROW]
[ROW][C]53[/C][C]-0.039411[/C][C]-0.3053[/C][C]0.380605[/C][/ROW]
[ROW][C]54[/C][C]0.013118[/C][C]0.1016[/C][C]0.459702[/C][/ROW]
[ROW][C]55[/C][C]0.064927[/C][C]0.5029[/C][C]0.308429[/C][/ROW]
[ROW][C]56[/C][C]-0.111605[/C][C]-0.8645[/C][C]0.195381[/C][/ROW]
[ROW][C]57[/C][C]0.00022[/C][C]0.0017[/C][C]0.499324[/C][/ROW]
[ROW][C]58[/C][C]0.104882[/C][C]0.8124[/C][C]0.209882[/C][/ROW]
[ROW][C]59[/C][C]-0.022065[/C][C]-0.1709[/C][C]0.432432[/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=60223&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=60223&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
10.9483147.34560
2-0.000611-0.00470.49812
3-0.034316-0.26580.395648
40.0072890.05650.477582
5-0.071882-0.55680.28987
6-0.07324-0.56730.286309
70.042650.33040.371137
8-0.019368-0.150.440624
9-0.01575-0.1220.451655
10-0.189404-1.46710.073783
11-0.068228-0.52850.299554
12-0.052014-0.40290.344227
130.0652910.50570.307446
14-0.033875-0.26240.396957
150.029020.22480.411454
160.0186770.14470.442727
170.0513270.39760.346176
180.016680.12920.448816
19-0.036457-0.28240.389307
20-0.017557-0.1360.446138
21-0.08083-0.62610.266809
22-0.042164-0.32660.372553
23-0.110773-0.8580.197141
240.0376450.29160.385799
250.0315490.24440.403886
26-0.079719-0.61750.269621
27-0.049053-0.380.352659
280.0447210.34640.365123
290.011780.09130.463799
30-0.199786-1.54750.063496
310.1247560.96640.168873
32-0.193657-1.50010.069422
33-0.075208-0.58260.281185
340.0457980.35470.362012
35-0.021372-0.16550.434536
36-0.054504-0.42220.3372
370.0535710.4150.339825
380.0164860.12770.449406
390.0265730.20580.418808
400.0284890.22070.413046
410.0555240.43010.334335
42-0.085062-0.65890.256244
43-0.022828-0.17680.43012
44-0.025342-0.19630.42252
450.0450040.34860.364305
46-0.011694-0.09060.464063
470.0134110.10390.458805
48-0.040134-0.31090.378485
490.078130.60520.273668
500.0574510.4450.328954
510.0314720.24380.404117
52-0.027561-0.21350.415834
53-0.039411-0.30530.380605
540.0131180.10160.459702
550.0649270.50290.308429
56-0.111605-0.86450.195381
570.000220.00170.499324
580.1048820.81240.209882
59-0.022065-0.17090.432432
60NANANA



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
R code (references can be found in the software module):
if (par1 == 'Default') {
par1 = 10*log10(length(x))
} else {
par1 <- as.numeric(par1)
}
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
par5 <- as.numeric(par5)
if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
par7 <- as.numeric(par7)
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='pic1.png')
racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
dev.off()
(myacf <- c(racf$acf))
(mypacf <- c(rpacf$acf))
lengthx <- length(x)
sqrtn <- sqrt(lengthx)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','ACF(k)','click here for more information about the Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 2:(par1+1)) {
a<-table.row.start(a)
a<-table.element(a,i-1,header=TRUE)
a<-table.element(a,round(myacf[i],6))
mytstat <- myacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Partial Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','PACF(k)','click here for more information about the Partial Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:par1) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,round(mypacf[i],6))
mytstat <- mypacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')