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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationFri, 08 May 2009 05:40:01 -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/May/08/t124178287172ie08x3ca8g5su.htm/, Retrieved Mon, 29 Apr 2024 03:42:46 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=39650, Retrieved Mon, 29 Apr 2024 03:42:46 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact210
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Opgave 6 bis, oef...] [2009-05-08 11:40:01] [564a720da86171cdf215ca3dfe587c26] [Current]
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Dataseries X:
1,54
1,55
1,53
1,55
1,55
1,53
1,54
1,54
1,54
1,53
1,53
1,53
1,54
1,53
1,53
1,54
1,55
1,53
1,53
1,53
1,53
1,52
1,54
1,53
1,52
1,54
1,53
1,54
1,54
1,53
1,54
1,54
1,52
1,52
1,57
1,6
1,59
1,6
1,6
1,62
1,61
1,61
1,62
1,61
1,62
1,61
1,62
1,61
1,61
1,58
1,57
1,57
1,66
1,66
1,67
1,68
1,66
1,66
1,64
1,61
1,58
1,57
1,54
1,61
1,65
1,6
1,57
1,56
1,55
1,54
1,51
1,5
1,5
1,49
1,47
1,47
1,49
1,49
1,49
1,51
1,49
1,48
1,46
1,46
1,45
1,45
1,44
1,47
1,47
1,45
1,43
1,44
1,38
1,4
1,37
1,41




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39650&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39650&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39650&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'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.9256659.06960
20.841968.24950
30.770487.54910
40.7026576.88460
50.6535746.40370
60.6119435.99580
70.5796825.67970
80.5669955.55540
90.5452875.34270
100.5034474.93282e-06
110.4657884.56387e-06
120.4139884.05625.1e-05
130.3417823.34880.00058
140.2783162.72690.0038
150.2366182.31840.011276
160.1952351.91290.02937
170.1605411.5730.059507
180.1186361.16240.12398
190.0745360.73030.233494
200.0245850.24090.405081
21-0.028606-0.28030.389931
22-0.08037-0.78750.216474
23-0.126385-1.23830.109309
24-0.16728-1.6390.052243
25-0.228933-2.24310.013596
26-0.282434-2.76730.003391
27-0.317824-3.1140.001216
28-0.358262-3.51020.000342
29-0.383793-3.76040.000146
30-0.401524-3.93417.9e-05
31-0.415699-4.0734.8e-05
32-0.399955-3.91878.3e-05
33-0.402707-3.94577.6e-05
34-0.433013-4.24262.5e-05
35-0.452308-4.43171.2e-05
36-0.462197-4.52869e-06
37-0.465676-4.56277e-06
38-0.44951-4.40431.4e-05
39-0.424009-4.15443.5e-05
40-0.397949-3.89918.9e-05
41-0.347476-3.40460.000484
42-0.313615-3.07280.00138
43-0.282436-2.76730.003391
44-0.258606-2.53380.006451
45-0.261145-2.55870.006035
46-0.269571-2.64120.004822
47-0.263787-2.58460.005628
48-0.242328-2.37430.009785

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.925665 & 9.0696 & 0 \tabularnewline
2 & 0.84196 & 8.2495 & 0 \tabularnewline
3 & 0.77048 & 7.5491 & 0 \tabularnewline
4 & 0.702657 & 6.8846 & 0 \tabularnewline
5 & 0.653574 & 6.4037 & 0 \tabularnewline
6 & 0.611943 & 5.9958 & 0 \tabularnewline
7 & 0.579682 & 5.6797 & 0 \tabularnewline
8 & 0.566995 & 5.5554 & 0 \tabularnewline
9 & 0.545287 & 5.3427 & 0 \tabularnewline
10 & 0.503447 & 4.9328 & 2e-06 \tabularnewline
11 & 0.465788 & 4.5638 & 7e-06 \tabularnewline
12 & 0.413988 & 4.0562 & 5.1e-05 \tabularnewline
13 & 0.341782 & 3.3488 & 0.00058 \tabularnewline
14 & 0.278316 & 2.7269 & 0.0038 \tabularnewline
15 & 0.236618 & 2.3184 & 0.011276 \tabularnewline
16 & 0.195235 & 1.9129 & 0.02937 \tabularnewline
17 & 0.160541 & 1.573 & 0.059507 \tabularnewline
18 & 0.118636 & 1.1624 & 0.12398 \tabularnewline
19 & 0.074536 & 0.7303 & 0.233494 \tabularnewline
20 & 0.024585 & 0.2409 & 0.405081 \tabularnewline
21 & -0.028606 & -0.2803 & 0.389931 \tabularnewline
22 & -0.08037 & -0.7875 & 0.216474 \tabularnewline
23 & -0.126385 & -1.2383 & 0.109309 \tabularnewline
24 & -0.16728 & -1.639 & 0.052243 \tabularnewline
25 & -0.228933 & -2.2431 & 0.013596 \tabularnewline
26 & -0.282434 & -2.7673 & 0.003391 \tabularnewline
27 & -0.317824 & -3.114 & 0.001216 \tabularnewline
28 & -0.358262 & -3.5102 & 0.000342 \tabularnewline
29 & -0.383793 & -3.7604 & 0.000146 \tabularnewline
30 & -0.401524 & -3.9341 & 7.9e-05 \tabularnewline
31 & -0.415699 & -4.073 & 4.8e-05 \tabularnewline
32 & -0.399955 & -3.9187 & 8.3e-05 \tabularnewline
33 & -0.402707 & -3.9457 & 7.6e-05 \tabularnewline
34 & -0.433013 & -4.2426 & 2.5e-05 \tabularnewline
35 & -0.452308 & -4.4317 & 1.2e-05 \tabularnewline
36 & -0.462197 & -4.5286 & 9e-06 \tabularnewline
37 & -0.465676 & -4.5627 & 7e-06 \tabularnewline
38 & -0.44951 & -4.4043 & 1.4e-05 \tabularnewline
39 & -0.424009 & -4.1544 & 3.5e-05 \tabularnewline
40 & -0.397949 & -3.8991 & 8.9e-05 \tabularnewline
41 & -0.347476 & -3.4046 & 0.000484 \tabularnewline
42 & -0.313615 & -3.0728 & 0.00138 \tabularnewline
43 & -0.282436 & -2.7673 & 0.003391 \tabularnewline
44 & -0.258606 & -2.5338 & 0.006451 \tabularnewline
45 & -0.261145 & -2.5587 & 0.006035 \tabularnewline
46 & -0.269571 & -2.6412 & 0.004822 \tabularnewline
47 & -0.263787 & -2.5846 & 0.005628 \tabularnewline
48 & -0.242328 & -2.3743 & 0.009785 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39650&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]0.925665[/C][C]9.0696[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.84196[/C][C]8.2495[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.77048[/C][C]7.5491[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.702657[/C][C]6.8846[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.653574[/C][C]6.4037[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.611943[/C][C]5.9958[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.579682[/C][C]5.6797[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.566995[/C][C]5.5554[/C][C]0[/C][/ROW]
[ROW][C]9[/C][C]0.545287[/C][C]5.3427[/C][C]0[/C][/ROW]
[ROW][C]10[/C][C]0.503447[/C][C]4.9328[/C][C]2e-06[/C][/ROW]
[ROW][C]11[/C][C]0.465788[/C][C]4.5638[/C][C]7e-06[/C][/ROW]
[ROW][C]12[/C][C]0.413988[/C][C]4.0562[/C][C]5.1e-05[/C][/ROW]
[ROW][C]13[/C][C]0.341782[/C][C]3.3488[/C][C]0.00058[/C][/ROW]
[ROW][C]14[/C][C]0.278316[/C][C]2.7269[/C][C]0.0038[/C][/ROW]
[ROW][C]15[/C][C]0.236618[/C][C]2.3184[/C][C]0.011276[/C][/ROW]
[ROW][C]16[/C][C]0.195235[/C][C]1.9129[/C][C]0.02937[/C][/ROW]
[ROW][C]17[/C][C]0.160541[/C][C]1.573[/C][C]0.059507[/C][/ROW]
[ROW][C]18[/C][C]0.118636[/C][C]1.1624[/C][C]0.12398[/C][/ROW]
[ROW][C]19[/C][C]0.074536[/C][C]0.7303[/C][C]0.233494[/C][/ROW]
[ROW][C]20[/C][C]0.024585[/C][C]0.2409[/C][C]0.405081[/C][/ROW]
[ROW][C]21[/C][C]-0.028606[/C][C]-0.2803[/C][C]0.389931[/C][/ROW]
[ROW][C]22[/C][C]-0.08037[/C][C]-0.7875[/C][C]0.216474[/C][/ROW]
[ROW][C]23[/C][C]-0.126385[/C][C]-1.2383[/C][C]0.109309[/C][/ROW]
[ROW][C]24[/C][C]-0.16728[/C][C]-1.639[/C][C]0.052243[/C][/ROW]
[ROW][C]25[/C][C]-0.228933[/C][C]-2.2431[/C][C]0.013596[/C][/ROW]
[ROW][C]26[/C][C]-0.282434[/C][C]-2.7673[/C][C]0.003391[/C][/ROW]
[ROW][C]27[/C][C]-0.317824[/C][C]-3.114[/C][C]0.001216[/C][/ROW]
[ROW][C]28[/C][C]-0.358262[/C][C]-3.5102[/C][C]0.000342[/C][/ROW]
[ROW][C]29[/C][C]-0.383793[/C][C]-3.7604[/C][C]0.000146[/C][/ROW]
[ROW][C]30[/C][C]-0.401524[/C][C]-3.9341[/C][C]7.9e-05[/C][/ROW]
[ROW][C]31[/C][C]-0.415699[/C][C]-4.073[/C][C]4.8e-05[/C][/ROW]
[ROW][C]32[/C][C]-0.399955[/C][C]-3.9187[/C][C]8.3e-05[/C][/ROW]
[ROW][C]33[/C][C]-0.402707[/C][C]-3.9457[/C][C]7.6e-05[/C][/ROW]
[ROW][C]34[/C][C]-0.433013[/C][C]-4.2426[/C][C]2.5e-05[/C][/ROW]
[ROW][C]35[/C][C]-0.452308[/C][C]-4.4317[/C][C]1.2e-05[/C][/ROW]
[ROW][C]36[/C][C]-0.462197[/C][C]-4.5286[/C][C]9e-06[/C][/ROW]
[ROW][C]37[/C][C]-0.465676[/C][C]-4.5627[/C][C]7e-06[/C][/ROW]
[ROW][C]38[/C][C]-0.44951[/C][C]-4.4043[/C][C]1.4e-05[/C][/ROW]
[ROW][C]39[/C][C]-0.424009[/C][C]-4.1544[/C][C]3.5e-05[/C][/ROW]
[ROW][C]40[/C][C]-0.397949[/C][C]-3.8991[/C][C]8.9e-05[/C][/ROW]
[ROW][C]41[/C][C]-0.347476[/C][C]-3.4046[/C][C]0.000484[/C][/ROW]
[ROW][C]42[/C][C]-0.313615[/C][C]-3.0728[/C][C]0.00138[/C][/ROW]
[ROW][C]43[/C][C]-0.282436[/C][C]-2.7673[/C][C]0.003391[/C][/ROW]
[ROW][C]44[/C][C]-0.258606[/C][C]-2.5338[/C][C]0.006451[/C][/ROW]
[ROW][C]45[/C][C]-0.261145[/C][C]-2.5587[/C][C]0.006035[/C][/ROW]
[ROW][C]46[/C][C]-0.269571[/C][C]-2.6412[/C][C]0.004822[/C][/ROW]
[ROW][C]47[/C][C]-0.263787[/C][C]-2.5846[/C][C]0.005628[/C][/ROW]
[ROW][C]48[/C][C]-0.242328[/C][C]-2.3743[/C][C]0.009785[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39650&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39650&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
10.9256659.06960
20.841968.24950
30.770487.54910
40.7026576.88460
50.6535746.40370
60.6119435.99580
70.5796825.67970
80.5669955.55540
90.5452875.34270
100.5034474.93282e-06
110.4657884.56387e-06
120.4139884.05625.1e-05
130.3417823.34880.00058
140.2783162.72690.0038
150.2366182.31840.011276
160.1952351.91290.02937
170.1605411.5730.059507
180.1186361.16240.12398
190.0745360.73030.233494
200.0245850.24090.405081
21-0.028606-0.28030.389931
22-0.08037-0.78750.216474
23-0.126385-1.23830.109309
24-0.16728-1.6390.052243
25-0.228933-2.24310.013596
26-0.282434-2.76730.003391
27-0.317824-3.1140.001216
28-0.358262-3.51020.000342
29-0.383793-3.76040.000146
30-0.401524-3.93417.9e-05
31-0.415699-4.0734.8e-05
32-0.399955-3.91878.3e-05
33-0.402707-3.94577.6e-05
34-0.433013-4.24262.5e-05
35-0.452308-4.43171.2e-05
36-0.462197-4.52869e-06
37-0.465676-4.56277e-06
38-0.44951-4.40431.4e-05
39-0.424009-4.15443.5e-05
40-0.397949-3.89918.9e-05
41-0.347476-3.40460.000484
42-0.313615-3.07280.00138
43-0.282436-2.76730.003391
44-0.258606-2.53380.006451
45-0.261145-2.55870.006035
46-0.269571-2.64120.004822
47-0.263787-2.58460.005628
48-0.242328-2.37430.009785







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9256659.06960
2-0.104064-1.01960.155236
30.0447080.4380.331169
4-0.025833-0.25310.400362
50.0969260.94970.17233
60.0065070.06380.474648
70.0551370.54020.295145
80.117681.1530.125881
9-0.066078-0.64740.259451
10-0.117916-1.15530.12541
110.0327770.32110.374399
12-0.117423-1.15050.126397
13-0.16835-1.64950.051158
140.0049670.04870.480642
150.0998340.97820.165224
16-0.102251-1.00190.159467
17-0.022576-0.22120.412704
18-0.068543-0.67160.251733
19-0.045734-0.44810.327545
20-0.134174-1.31460.095884
210.0077770.07620.46971
22-0.004233-0.04150.483502
23-0.057905-0.56740.2859
24-0.025079-0.24570.40321
25-0.193808-1.89890.030289
26-0.035406-0.34690.364712
270.0166140.16280.435514
28-0.085962-0.84230.20087
290.0809580.79320.214801
300.0075380.07390.470638
310.0168590.16520.434573
320.1624251.59140.0574
33-0.142015-1.39150.083652
34-0.170743-1.67290.048799
350.0480890.47120.319292
360.0959630.94020.174728
370.0543710.53270.297727
380.0777610.76190.223993
390.0613480.60110.274601
40-0.045393-0.44480.328748
410.1215171.19060.118369
42-0.037453-0.3670.357228
430.0753760.73850.230996
44-0.081584-0.79940.21303
45-0.073295-0.71810.237207
46-0.023467-0.22990.409318
47-0.031629-0.30990.378655
480.0171540.16810.433438

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.925665 & 9.0696 & 0 \tabularnewline
2 & -0.104064 & -1.0196 & 0.155236 \tabularnewline
3 & 0.044708 & 0.438 & 0.331169 \tabularnewline
4 & -0.025833 & -0.2531 & 0.400362 \tabularnewline
5 & 0.096926 & 0.9497 & 0.17233 \tabularnewline
6 & 0.006507 & 0.0638 & 0.474648 \tabularnewline
7 & 0.055137 & 0.5402 & 0.295145 \tabularnewline
8 & 0.11768 & 1.153 & 0.125881 \tabularnewline
9 & -0.066078 & -0.6474 & 0.259451 \tabularnewline
10 & -0.117916 & -1.1553 & 0.12541 \tabularnewline
11 & 0.032777 & 0.3211 & 0.374399 \tabularnewline
12 & -0.117423 & -1.1505 & 0.126397 \tabularnewline
13 & -0.16835 & -1.6495 & 0.051158 \tabularnewline
14 & 0.004967 & 0.0487 & 0.480642 \tabularnewline
15 & 0.099834 & 0.9782 & 0.165224 \tabularnewline
16 & -0.102251 & -1.0019 & 0.159467 \tabularnewline
17 & -0.022576 & -0.2212 & 0.412704 \tabularnewline
18 & -0.068543 & -0.6716 & 0.251733 \tabularnewline
19 & -0.045734 & -0.4481 & 0.327545 \tabularnewline
20 & -0.134174 & -1.3146 & 0.095884 \tabularnewline
21 & 0.007777 & 0.0762 & 0.46971 \tabularnewline
22 & -0.004233 & -0.0415 & 0.483502 \tabularnewline
23 & -0.057905 & -0.5674 & 0.2859 \tabularnewline
24 & -0.025079 & -0.2457 & 0.40321 \tabularnewline
25 & -0.193808 & -1.8989 & 0.030289 \tabularnewline
26 & -0.035406 & -0.3469 & 0.364712 \tabularnewline
27 & 0.016614 & 0.1628 & 0.435514 \tabularnewline
28 & -0.085962 & -0.8423 & 0.20087 \tabularnewline
29 & 0.080958 & 0.7932 & 0.214801 \tabularnewline
30 & 0.007538 & 0.0739 & 0.470638 \tabularnewline
31 & 0.016859 & 0.1652 & 0.434573 \tabularnewline
32 & 0.162425 & 1.5914 & 0.0574 \tabularnewline
33 & -0.142015 & -1.3915 & 0.083652 \tabularnewline
34 & -0.170743 & -1.6729 & 0.048799 \tabularnewline
35 & 0.048089 & 0.4712 & 0.319292 \tabularnewline
36 & 0.095963 & 0.9402 & 0.174728 \tabularnewline
37 & 0.054371 & 0.5327 & 0.297727 \tabularnewline
38 & 0.077761 & 0.7619 & 0.223993 \tabularnewline
39 & 0.061348 & 0.6011 & 0.274601 \tabularnewline
40 & -0.045393 & -0.4448 & 0.328748 \tabularnewline
41 & 0.121517 & 1.1906 & 0.118369 \tabularnewline
42 & -0.037453 & -0.367 & 0.357228 \tabularnewline
43 & 0.075376 & 0.7385 & 0.230996 \tabularnewline
44 & -0.081584 & -0.7994 & 0.21303 \tabularnewline
45 & -0.073295 & -0.7181 & 0.237207 \tabularnewline
46 & -0.023467 & -0.2299 & 0.409318 \tabularnewline
47 & -0.031629 & -0.3099 & 0.378655 \tabularnewline
48 & 0.017154 & 0.1681 & 0.433438 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39650&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]0.925665[/C][C]9.0696[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.104064[/C][C]-1.0196[/C][C]0.155236[/C][/ROW]
[ROW][C]3[/C][C]0.044708[/C][C]0.438[/C][C]0.331169[/C][/ROW]
[ROW][C]4[/C][C]-0.025833[/C][C]-0.2531[/C][C]0.400362[/C][/ROW]
[ROW][C]5[/C][C]0.096926[/C][C]0.9497[/C][C]0.17233[/C][/ROW]
[ROW][C]6[/C][C]0.006507[/C][C]0.0638[/C][C]0.474648[/C][/ROW]
[ROW][C]7[/C][C]0.055137[/C][C]0.5402[/C][C]0.295145[/C][/ROW]
[ROW][C]8[/C][C]0.11768[/C][C]1.153[/C][C]0.125881[/C][/ROW]
[ROW][C]9[/C][C]-0.066078[/C][C]-0.6474[/C][C]0.259451[/C][/ROW]
[ROW][C]10[/C][C]-0.117916[/C][C]-1.1553[/C][C]0.12541[/C][/ROW]
[ROW][C]11[/C][C]0.032777[/C][C]0.3211[/C][C]0.374399[/C][/ROW]
[ROW][C]12[/C][C]-0.117423[/C][C]-1.1505[/C][C]0.126397[/C][/ROW]
[ROW][C]13[/C][C]-0.16835[/C][C]-1.6495[/C][C]0.051158[/C][/ROW]
[ROW][C]14[/C][C]0.004967[/C][C]0.0487[/C][C]0.480642[/C][/ROW]
[ROW][C]15[/C][C]0.099834[/C][C]0.9782[/C][C]0.165224[/C][/ROW]
[ROW][C]16[/C][C]-0.102251[/C][C]-1.0019[/C][C]0.159467[/C][/ROW]
[ROW][C]17[/C][C]-0.022576[/C][C]-0.2212[/C][C]0.412704[/C][/ROW]
[ROW][C]18[/C][C]-0.068543[/C][C]-0.6716[/C][C]0.251733[/C][/ROW]
[ROW][C]19[/C][C]-0.045734[/C][C]-0.4481[/C][C]0.327545[/C][/ROW]
[ROW][C]20[/C][C]-0.134174[/C][C]-1.3146[/C][C]0.095884[/C][/ROW]
[ROW][C]21[/C][C]0.007777[/C][C]0.0762[/C][C]0.46971[/C][/ROW]
[ROW][C]22[/C][C]-0.004233[/C][C]-0.0415[/C][C]0.483502[/C][/ROW]
[ROW][C]23[/C][C]-0.057905[/C][C]-0.5674[/C][C]0.2859[/C][/ROW]
[ROW][C]24[/C][C]-0.025079[/C][C]-0.2457[/C][C]0.40321[/C][/ROW]
[ROW][C]25[/C][C]-0.193808[/C][C]-1.8989[/C][C]0.030289[/C][/ROW]
[ROW][C]26[/C][C]-0.035406[/C][C]-0.3469[/C][C]0.364712[/C][/ROW]
[ROW][C]27[/C][C]0.016614[/C][C]0.1628[/C][C]0.435514[/C][/ROW]
[ROW][C]28[/C][C]-0.085962[/C][C]-0.8423[/C][C]0.20087[/C][/ROW]
[ROW][C]29[/C][C]0.080958[/C][C]0.7932[/C][C]0.214801[/C][/ROW]
[ROW][C]30[/C][C]0.007538[/C][C]0.0739[/C][C]0.470638[/C][/ROW]
[ROW][C]31[/C][C]0.016859[/C][C]0.1652[/C][C]0.434573[/C][/ROW]
[ROW][C]32[/C][C]0.162425[/C][C]1.5914[/C][C]0.0574[/C][/ROW]
[ROW][C]33[/C][C]-0.142015[/C][C]-1.3915[/C][C]0.083652[/C][/ROW]
[ROW][C]34[/C][C]-0.170743[/C][C]-1.6729[/C][C]0.048799[/C][/ROW]
[ROW][C]35[/C][C]0.048089[/C][C]0.4712[/C][C]0.319292[/C][/ROW]
[ROW][C]36[/C][C]0.095963[/C][C]0.9402[/C][C]0.174728[/C][/ROW]
[ROW][C]37[/C][C]0.054371[/C][C]0.5327[/C][C]0.297727[/C][/ROW]
[ROW][C]38[/C][C]0.077761[/C][C]0.7619[/C][C]0.223993[/C][/ROW]
[ROW][C]39[/C][C]0.061348[/C][C]0.6011[/C][C]0.274601[/C][/ROW]
[ROW][C]40[/C][C]-0.045393[/C][C]-0.4448[/C][C]0.328748[/C][/ROW]
[ROW][C]41[/C][C]0.121517[/C][C]1.1906[/C][C]0.118369[/C][/ROW]
[ROW][C]42[/C][C]-0.037453[/C][C]-0.367[/C][C]0.357228[/C][/ROW]
[ROW][C]43[/C][C]0.075376[/C][C]0.7385[/C][C]0.230996[/C][/ROW]
[ROW][C]44[/C][C]-0.081584[/C][C]-0.7994[/C][C]0.21303[/C][/ROW]
[ROW][C]45[/C][C]-0.073295[/C][C]-0.7181[/C][C]0.237207[/C][/ROW]
[ROW][C]46[/C][C]-0.023467[/C][C]-0.2299[/C][C]0.409318[/C][/ROW]
[ROW][C]47[/C][C]-0.031629[/C][C]-0.3099[/C][C]0.378655[/C][/ROW]
[ROW][C]48[/C][C]0.017154[/C][C]0.1681[/C][C]0.433438[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39650&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39650&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
10.9256659.06960
2-0.104064-1.01960.155236
30.0447080.4380.331169
4-0.025833-0.25310.400362
50.0969260.94970.17233
60.0065070.06380.474648
70.0551370.54020.295145
80.117681.1530.125881
9-0.066078-0.64740.259451
10-0.117916-1.15530.12541
110.0327770.32110.374399
12-0.117423-1.15050.126397
13-0.16835-1.64950.051158
140.0049670.04870.480642
150.0998340.97820.165224
16-0.102251-1.00190.159467
17-0.022576-0.22120.412704
18-0.068543-0.67160.251733
19-0.045734-0.44810.327545
20-0.134174-1.31460.095884
210.0077770.07620.46971
22-0.004233-0.04150.483502
23-0.057905-0.56740.2859
24-0.025079-0.24570.40321
25-0.193808-1.89890.030289
26-0.035406-0.34690.364712
270.0166140.16280.435514
28-0.085962-0.84230.20087
290.0809580.79320.214801
300.0075380.07390.470638
310.0168590.16520.434573
320.1624251.59140.0574
33-0.142015-1.39150.083652
34-0.170743-1.67290.048799
350.0480890.47120.319292
360.0959630.94020.174728
370.0543710.53270.297727
380.0777610.76190.223993
390.0613480.60110.274601
40-0.045393-0.44480.328748
410.1215171.19060.118369
42-0.037453-0.3670.357228
430.0753760.73850.230996
44-0.081584-0.79940.21303
45-0.073295-0.71810.237207
46-0.023467-0.22990.409318
47-0.031629-0.30990.378655
480.0171540.16810.433438



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; 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')