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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, 23 Nov 2010 19:40:36 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Nov/23/t1290541155qqls0ivwdxlwqk7.htm/, Retrieved Fri, 29 Mar 2024 09:58:36 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=99612, Retrieved Fri, 29 Mar 2024 09:58:36 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP2W12
Estimated Impact117
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [WERKLOOSHEID] [2010-11-23 19:40:36] [d08a5fa9e4c562ec79e796d78c067f4f] [Current]
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Dataseries X:
8.6
8.5
8.4
8.0
7.9
8.1
8.6
8.8
8.8
8.6
8.3
8.3
8.3
8.4
8.4
8.5
8.6
8.6
8.6
8.6
8.6
8.5
8.4
8.4
8.4
8.5
8.5
8.6
8.6
8.4
8.2
8.0
8.0
8.0
8.0
7.9
7.9
7.8
7.9
8.0
7.9
7.4
7.2
7.0
7.0
7.1
7.2
7.2
7.0
6.9
6.8
6.8
6.8
6.9
7.2
7.3
7.2
7.1
7.1
7.3
7.5
7.6
7.7
7.7
7.7
7.8
8.0
8.1
8.1
8.0
8.1
8.2
8.3
8.4
8.6
8.6
8.7
8.8
8.9




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=99612&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=99612&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=99612&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
10.5142834.5421e-05
20.0285670.25230.400738
3-0.340787-3.00970.00176
4-0.259094-2.28830.012415
5-0.047534-0.41980.33789
60.1995881.76270.040933
70.3172932.80230.003199
80.2180271.92560.028902
90.1066070.94150.174671
100.0471790.41670.339031
110.0998370.88170.190314
120.1059060.93530.176252
130.0129420.11430.454648
14-0.016101-0.14220.443643
15-0.033441-0.29530.384259
16-0.085891-0.75860.225197
17-0.085675-0.75670.225766
18-0.056199-0.49630.310526
190.1080960.95470.171346
200.1670561.47540.072065
210.1317111.16320.124139
22-0.026749-0.23620.406932
23-0.184984-1.63370.053172
24-0.295954-2.61380.005371
25-0.230691-2.03740.0225
26-0.008103-0.07160.471567
270.1267081.11910.133276
280.038920.34370.365985
29-0.125617-1.10940.135329
30-0.143856-1.27050.103841
31-0.033579-0.29660.383794
320.0658940.5820.281134
330.001740.01540.493889
34-0.056563-0.49950.3094
35-0.290872-2.56890.006055
36-0.273776-2.41790.008971
37-0.139866-1.23530.110221
380.1576721.39250.08386
390.1869231.65090.051394
400.1518031.34070.091956
41-0.018811-0.16610.434241
42-0.130681-1.15410.125983
43-0.160399-1.41660.08029
44-0.143077-1.26360.105064
45-0.043379-0.38310.351341
460.0621720.54910.292256
470.1382381.22090.112903
480.1197741.05780.146703

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.514283 & 4.542 & 1e-05 \tabularnewline
2 & 0.028567 & 0.2523 & 0.400738 \tabularnewline
3 & -0.340787 & -3.0097 & 0.00176 \tabularnewline
4 & -0.259094 & -2.2883 & 0.012415 \tabularnewline
5 & -0.047534 & -0.4198 & 0.33789 \tabularnewline
6 & 0.199588 & 1.7627 & 0.040933 \tabularnewline
7 & 0.317293 & 2.8023 & 0.003199 \tabularnewline
8 & 0.218027 & 1.9256 & 0.028902 \tabularnewline
9 & 0.106607 & 0.9415 & 0.174671 \tabularnewline
10 & 0.047179 & 0.4167 & 0.339031 \tabularnewline
11 & 0.099837 & 0.8817 & 0.190314 \tabularnewline
12 & 0.105906 & 0.9353 & 0.176252 \tabularnewline
13 & 0.012942 & 0.1143 & 0.454648 \tabularnewline
14 & -0.016101 & -0.1422 & 0.443643 \tabularnewline
15 & -0.033441 & -0.2953 & 0.384259 \tabularnewline
16 & -0.085891 & -0.7586 & 0.225197 \tabularnewline
17 & -0.085675 & -0.7567 & 0.225766 \tabularnewline
18 & -0.056199 & -0.4963 & 0.310526 \tabularnewline
19 & 0.108096 & 0.9547 & 0.171346 \tabularnewline
20 & 0.167056 & 1.4754 & 0.072065 \tabularnewline
21 & 0.131711 & 1.1632 & 0.124139 \tabularnewline
22 & -0.026749 & -0.2362 & 0.406932 \tabularnewline
23 & -0.184984 & -1.6337 & 0.053172 \tabularnewline
24 & -0.295954 & -2.6138 & 0.005371 \tabularnewline
25 & -0.230691 & -2.0374 & 0.0225 \tabularnewline
26 & -0.008103 & -0.0716 & 0.471567 \tabularnewline
27 & 0.126708 & 1.1191 & 0.133276 \tabularnewline
28 & 0.03892 & 0.3437 & 0.365985 \tabularnewline
29 & -0.125617 & -1.1094 & 0.135329 \tabularnewline
30 & -0.143856 & -1.2705 & 0.103841 \tabularnewline
31 & -0.033579 & -0.2966 & 0.383794 \tabularnewline
32 & 0.065894 & 0.582 & 0.281134 \tabularnewline
33 & 0.00174 & 0.0154 & 0.493889 \tabularnewline
34 & -0.056563 & -0.4995 & 0.3094 \tabularnewline
35 & -0.290872 & -2.5689 & 0.006055 \tabularnewline
36 & -0.273776 & -2.4179 & 0.008971 \tabularnewline
37 & -0.139866 & -1.2353 & 0.110221 \tabularnewline
38 & 0.157672 & 1.3925 & 0.08386 \tabularnewline
39 & 0.186923 & 1.6509 & 0.051394 \tabularnewline
40 & 0.151803 & 1.3407 & 0.091956 \tabularnewline
41 & -0.018811 & -0.1661 & 0.434241 \tabularnewline
42 & -0.130681 & -1.1541 & 0.125983 \tabularnewline
43 & -0.160399 & -1.4166 & 0.08029 \tabularnewline
44 & -0.143077 & -1.2636 & 0.105064 \tabularnewline
45 & -0.043379 & -0.3831 & 0.351341 \tabularnewline
46 & 0.062172 & 0.5491 & 0.292256 \tabularnewline
47 & 0.138238 & 1.2209 & 0.112903 \tabularnewline
48 & 0.119774 & 1.0578 & 0.146703 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=99612&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]0.514283[/C][C]4.542[/C][C]1e-05[/C][/ROW]
[ROW][C]2[/C][C]0.028567[/C][C]0.2523[/C][C]0.400738[/C][/ROW]
[ROW][C]3[/C][C]-0.340787[/C][C]-3.0097[/C][C]0.00176[/C][/ROW]
[ROW][C]4[/C][C]-0.259094[/C][C]-2.2883[/C][C]0.012415[/C][/ROW]
[ROW][C]5[/C][C]-0.047534[/C][C]-0.4198[/C][C]0.33789[/C][/ROW]
[ROW][C]6[/C][C]0.199588[/C][C]1.7627[/C][C]0.040933[/C][/ROW]
[ROW][C]7[/C][C]0.317293[/C][C]2.8023[/C][C]0.003199[/C][/ROW]
[ROW][C]8[/C][C]0.218027[/C][C]1.9256[/C][C]0.028902[/C][/ROW]
[ROW][C]9[/C][C]0.106607[/C][C]0.9415[/C][C]0.174671[/C][/ROW]
[ROW][C]10[/C][C]0.047179[/C][C]0.4167[/C][C]0.339031[/C][/ROW]
[ROW][C]11[/C][C]0.099837[/C][C]0.8817[/C][C]0.190314[/C][/ROW]
[ROW][C]12[/C][C]0.105906[/C][C]0.9353[/C][C]0.176252[/C][/ROW]
[ROW][C]13[/C][C]0.012942[/C][C]0.1143[/C][C]0.454648[/C][/ROW]
[ROW][C]14[/C][C]-0.016101[/C][C]-0.1422[/C][C]0.443643[/C][/ROW]
[ROW][C]15[/C][C]-0.033441[/C][C]-0.2953[/C][C]0.384259[/C][/ROW]
[ROW][C]16[/C][C]-0.085891[/C][C]-0.7586[/C][C]0.225197[/C][/ROW]
[ROW][C]17[/C][C]-0.085675[/C][C]-0.7567[/C][C]0.225766[/C][/ROW]
[ROW][C]18[/C][C]-0.056199[/C][C]-0.4963[/C][C]0.310526[/C][/ROW]
[ROW][C]19[/C][C]0.108096[/C][C]0.9547[/C][C]0.171346[/C][/ROW]
[ROW][C]20[/C][C]0.167056[/C][C]1.4754[/C][C]0.072065[/C][/ROW]
[ROW][C]21[/C][C]0.131711[/C][C]1.1632[/C][C]0.124139[/C][/ROW]
[ROW][C]22[/C][C]-0.026749[/C][C]-0.2362[/C][C]0.406932[/C][/ROW]
[ROW][C]23[/C][C]-0.184984[/C][C]-1.6337[/C][C]0.053172[/C][/ROW]
[ROW][C]24[/C][C]-0.295954[/C][C]-2.6138[/C][C]0.005371[/C][/ROW]
[ROW][C]25[/C][C]-0.230691[/C][C]-2.0374[/C][C]0.0225[/C][/ROW]
[ROW][C]26[/C][C]-0.008103[/C][C]-0.0716[/C][C]0.471567[/C][/ROW]
[ROW][C]27[/C][C]0.126708[/C][C]1.1191[/C][C]0.133276[/C][/ROW]
[ROW][C]28[/C][C]0.03892[/C][C]0.3437[/C][C]0.365985[/C][/ROW]
[ROW][C]29[/C][C]-0.125617[/C][C]-1.1094[/C][C]0.135329[/C][/ROW]
[ROW][C]30[/C][C]-0.143856[/C][C]-1.2705[/C][C]0.103841[/C][/ROW]
[ROW][C]31[/C][C]-0.033579[/C][C]-0.2966[/C][C]0.383794[/C][/ROW]
[ROW][C]32[/C][C]0.065894[/C][C]0.582[/C][C]0.281134[/C][/ROW]
[ROW][C]33[/C][C]0.00174[/C][C]0.0154[/C][C]0.493889[/C][/ROW]
[ROW][C]34[/C][C]-0.056563[/C][C]-0.4995[/C][C]0.3094[/C][/ROW]
[ROW][C]35[/C][C]-0.290872[/C][C]-2.5689[/C][C]0.006055[/C][/ROW]
[ROW][C]36[/C][C]-0.273776[/C][C]-2.4179[/C][C]0.008971[/C][/ROW]
[ROW][C]37[/C][C]-0.139866[/C][C]-1.2353[/C][C]0.110221[/C][/ROW]
[ROW][C]38[/C][C]0.157672[/C][C]1.3925[/C][C]0.08386[/C][/ROW]
[ROW][C]39[/C][C]0.186923[/C][C]1.6509[/C][C]0.051394[/C][/ROW]
[ROW][C]40[/C][C]0.151803[/C][C]1.3407[/C][C]0.091956[/C][/ROW]
[ROW][C]41[/C][C]-0.018811[/C][C]-0.1661[/C][C]0.434241[/C][/ROW]
[ROW][C]42[/C][C]-0.130681[/C][C]-1.1541[/C][C]0.125983[/C][/ROW]
[ROW][C]43[/C][C]-0.160399[/C][C]-1.4166[/C][C]0.08029[/C][/ROW]
[ROW][C]44[/C][C]-0.143077[/C][C]-1.2636[/C][C]0.105064[/C][/ROW]
[ROW][C]45[/C][C]-0.043379[/C][C]-0.3831[/C][C]0.351341[/C][/ROW]
[ROW][C]46[/C][C]0.062172[/C][C]0.5491[/C][C]0.292256[/C][/ROW]
[ROW][C]47[/C][C]0.138238[/C][C]1.2209[/C][C]0.112903[/C][/ROW]
[ROW][C]48[/C][C]0.119774[/C][C]1.0578[/C][C]0.146703[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=99612&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=99612&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
10.5142834.5421e-05
20.0285670.25230.400738
3-0.340787-3.00970.00176
4-0.259094-2.28830.012415
5-0.047534-0.41980.33789
60.1995881.76270.040933
70.3172932.80230.003199
80.2180271.92560.028902
90.1066070.94150.174671
100.0471790.41670.339031
110.0998370.88170.190314
120.1059060.93530.176252
130.0129420.11430.454648
14-0.016101-0.14220.443643
15-0.033441-0.29530.384259
16-0.085891-0.75860.225197
17-0.085675-0.75670.225766
18-0.056199-0.49630.310526
190.1080960.95470.171346
200.1670561.47540.072065
210.1317111.16320.124139
22-0.026749-0.23620.406932
23-0.184984-1.63370.053172
24-0.295954-2.61380.005371
25-0.230691-2.03740.0225
26-0.008103-0.07160.471567
270.1267081.11910.133276
280.038920.34370.365985
29-0.125617-1.10940.135329
30-0.143856-1.27050.103841
31-0.033579-0.29660.383794
320.0658940.5820.281134
330.001740.01540.493889
34-0.056563-0.49950.3094
35-0.290872-2.56890.006055
36-0.273776-2.41790.008971
37-0.139866-1.23530.110221
380.1576721.39250.08386
390.1869231.65090.051394
400.1518031.34070.091956
41-0.018811-0.16610.434241
42-0.130681-1.15410.125983
43-0.160399-1.41660.08029
44-0.143077-1.26360.105064
45-0.043379-0.38310.351341
460.0621720.54910.292256
470.1382381.22090.112903
480.1197741.05780.146703







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.5142834.5421e-05
2-0.320757-2.83280.002935
3-0.295876-2.61310.005381
40.158831.40270.082331
50.0189530.16740.433747
60.1014290.89580.186559
70.171311.5130.067165
8-0.024597-0.21720.414296
90.1518481.34110.091892
100.1565991.3830.085298
110.1244881.09940.137478
120.0498350.44010.33053
13-0.098593-0.87080.193281
140.0921580.81390.209085
15-0.039554-0.34930.363893
16-0.260565-2.30120.012024
17-0.054077-0.47760.317136
18-0.154639-1.36570.087974
190.0861370.76070.224553
200.0147810.13050.448237
21-0.104565-0.92350.1793
220.0058180.05140.479577
23-0.079624-0.70320.242005
24-0.128218-1.13240.13047
250.0222970.19690.422202
260.0051360.04540.48197
27-0.02213-0.19540.422775
28-0.160068-1.41370.080717
29-0.091926-0.81190.209668
300.1490261.31620.095988
310.0534280.47190.31917
320.0651330.57520.283391
33-0.080127-0.70770.240631
340.0893570.78920.216199
35-0.228265-2.0160.023623
360.0752430.66450.254155
370.0423520.3740.354694
380.0463190.40910.341801
39-0.059091-0.52190.301616
400.1527841.34940.090563
41-0.066917-0.5910.278116
420.0135720.11990.452448
430.0701530.61960.268671
44-0.028498-0.25170.400973
45-0.000806-0.00710.497171
460.0333380.29440.384604
470.0618350.54610.293275
48-0.026789-0.23660.406796

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.514283 & 4.542 & 1e-05 \tabularnewline
2 & -0.320757 & -2.8328 & 0.002935 \tabularnewline
3 & -0.295876 & -2.6131 & 0.005381 \tabularnewline
4 & 0.15883 & 1.4027 & 0.082331 \tabularnewline
5 & 0.018953 & 0.1674 & 0.433747 \tabularnewline
6 & 0.101429 & 0.8958 & 0.186559 \tabularnewline
7 & 0.17131 & 1.513 & 0.067165 \tabularnewline
8 & -0.024597 & -0.2172 & 0.414296 \tabularnewline
9 & 0.151848 & 1.3411 & 0.091892 \tabularnewline
10 & 0.156599 & 1.383 & 0.085298 \tabularnewline
11 & 0.124488 & 1.0994 & 0.137478 \tabularnewline
12 & 0.049835 & 0.4401 & 0.33053 \tabularnewline
13 & -0.098593 & -0.8708 & 0.193281 \tabularnewline
14 & 0.092158 & 0.8139 & 0.209085 \tabularnewline
15 & -0.039554 & -0.3493 & 0.363893 \tabularnewline
16 & -0.260565 & -2.3012 & 0.012024 \tabularnewline
17 & -0.054077 & -0.4776 & 0.317136 \tabularnewline
18 & -0.154639 & -1.3657 & 0.087974 \tabularnewline
19 & 0.086137 & 0.7607 & 0.224553 \tabularnewline
20 & 0.014781 & 0.1305 & 0.448237 \tabularnewline
21 & -0.104565 & -0.9235 & 0.1793 \tabularnewline
22 & 0.005818 & 0.0514 & 0.479577 \tabularnewline
23 & -0.079624 & -0.7032 & 0.242005 \tabularnewline
24 & -0.128218 & -1.1324 & 0.13047 \tabularnewline
25 & 0.022297 & 0.1969 & 0.422202 \tabularnewline
26 & 0.005136 & 0.0454 & 0.48197 \tabularnewline
27 & -0.02213 & -0.1954 & 0.422775 \tabularnewline
28 & -0.160068 & -1.4137 & 0.080717 \tabularnewline
29 & -0.091926 & -0.8119 & 0.209668 \tabularnewline
30 & 0.149026 & 1.3162 & 0.095988 \tabularnewline
31 & 0.053428 & 0.4719 & 0.31917 \tabularnewline
32 & 0.065133 & 0.5752 & 0.283391 \tabularnewline
33 & -0.080127 & -0.7077 & 0.240631 \tabularnewline
34 & 0.089357 & 0.7892 & 0.216199 \tabularnewline
35 & -0.228265 & -2.016 & 0.023623 \tabularnewline
36 & 0.075243 & 0.6645 & 0.254155 \tabularnewline
37 & 0.042352 & 0.374 & 0.354694 \tabularnewline
38 & 0.046319 & 0.4091 & 0.341801 \tabularnewline
39 & -0.059091 & -0.5219 & 0.301616 \tabularnewline
40 & 0.152784 & 1.3494 & 0.090563 \tabularnewline
41 & -0.066917 & -0.591 & 0.278116 \tabularnewline
42 & 0.013572 & 0.1199 & 0.452448 \tabularnewline
43 & 0.070153 & 0.6196 & 0.268671 \tabularnewline
44 & -0.028498 & -0.2517 & 0.400973 \tabularnewline
45 & -0.000806 & -0.0071 & 0.497171 \tabularnewline
46 & 0.033338 & 0.2944 & 0.384604 \tabularnewline
47 & 0.061835 & 0.5461 & 0.293275 \tabularnewline
48 & -0.026789 & -0.2366 & 0.406796 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=99612&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]0.514283[/C][C]4.542[/C][C]1e-05[/C][/ROW]
[ROW][C]2[/C][C]-0.320757[/C][C]-2.8328[/C][C]0.002935[/C][/ROW]
[ROW][C]3[/C][C]-0.295876[/C][C]-2.6131[/C][C]0.005381[/C][/ROW]
[ROW][C]4[/C][C]0.15883[/C][C]1.4027[/C][C]0.082331[/C][/ROW]
[ROW][C]5[/C][C]0.018953[/C][C]0.1674[/C][C]0.433747[/C][/ROW]
[ROW][C]6[/C][C]0.101429[/C][C]0.8958[/C][C]0.186559[/C][/ROW]
[ROW][C]7[/C][C]0.17131[/C][C]1.513[/C][C]0.067165[/C][/ROW]
[ROW][C]8[/C][C]-0.024597[/C][C]-0.2172[/C][C]0.414296[/C][/ROW]
[ROW][C]9[/C][C]0.151848[/C][C]1.3411[/C][C]0.091892[/C][/ROW]
[ROW][C]10[/C][C]0.156599[/C][C]1.383[/C][C]0.085298[/C][/ROW]
[ROW][C]11[/C][C]0.124488[/C][C]1.0994[/C][C]0.137478[/C][/ROW]
[ROW][C]12[/C][C]0.049835[/C][C]0.4401[/C][C]0.33053[/C][/ROW]
[ROW][C]13[/C][C]-0.098593[/C][C]-0.8708[/C][C]0.193281[/C][/ROW]
[ROW][C]14[/C][C]0.092158[/C][C]0.8139[/C][C]0.209085[/C][/ROW]
[ROW][C]15[/C][C]-0.039554[/C][C]-0.3493[/C][C]0.363893[/C][/ROW]
[ROW][C]16[/C][C]-0.260565[/C][C]-2.3012[/C][C]0.012024[/C][/ROW]
[ROW][C]17[/C][C]-0.054077[/C][C]-0.4776[/C][C]0.317136[/C][/ROW]
[ROW][C]18[/C][C]-0.154639[/C][C]-1.3657[/C][C]0.087974[/C][/ROW]
[ROW][C]19[/C][C]0.086137[/C][C]0.7607[/C][C]0.224553[/C][/ROW]
[ROW][C]20[/C][C]0.014781[/C][C]0.1305[/C][C]0.448237[/C][/ROW]
[ROW][C]21[/C][C]-0.104565[/C][C]-0.9235[/C][C]0.1793[/C][/ROW]
[ROW][C]22[/C][C]0.005818[/C][C]0.0514[/C][C]0.479577[/C][/ROW]
[ROW][C]23[/C][C]-0.079624[/C][C]-0.7032[/C][C]0.242005[/C][/ROW]
[ROW][C]24[/C][C]-0.128218[/C][C]-1.1324[/C][C]0.13047[/C][/ROW]
[ROW][C]25[/C][C]0.022297[/C][C]0.1969[/C][C]0.422202[/C][/ROW]
[ROW][C]26[/C][C]0.005136[/C][C]0.0454[/C][C]0.48197[/C][/ROW]
[ROW][C]27[/C][C]-0.02213[/C][C]-0.1954[/C][C]0.422775[/C][/ROW]
[ROW][C]28[/C][C]-0.160068[/C][C]-1.4137[/C][C]0.080717[/C][/ROW]
[ROW][C]29[/C][C]-0.091926[/C][C]-0.8119[/C][C]0.209668[/C][/ROW]
[ROW][C]30[/C][C]0.149026[/C][C]1.3162[/C][C]0.095988[/C][/ROW]
[ROW][C]31[/C][C]0.053428[/C][C]0.4719[/C][C]0.31917[/C][/ROW]
[ROW][C]32[/C][C]0.065133[/C][C]0.5752[/C][C]0.283391[/C][/ROW]
[ROW][C]33[/C][C]-0.080127[/C][C]-0.7077[/C][C]0.240631[/C][/ROW]
[ROW][C]34[/C][C]0.089357[/C][C]0.7892[/C][C]0.216199[/C][/ROW]
[ROW][C]35[/C][C]-0.228265[/C][C]-2.016[/C][C]0.023623[/C][/ROW]
[ROW][C]36[/C][C]0.075243[/C][C]0.6645[/C][C]0.254155[/C][/ROW]
[ROW][C]37[/C][C]0.042352[/C][C]0.374[/C][C]0.354694[/C][/ROW]
[ROW][C]38[/C][C]0.046319[/C][C]0.4091[/C][C]0.341801[/C][/ROW]
[ROW][C]39[/C][C]-0.059091[/C][C]-0.5219[/C][C]0.301616[/C][/ROW]
[ROW][C]40[/C][C]0.152784[/C][C]1.3494[/C][C]0.090563[/C][/ROW]
[ROW][C]41[/C][C]-0.066917[/C][C]-0.591[/C][C]0.278116[/C][/ROW]
[ROW][C]42[/C][C]0.013572[/C][C]0.1199[/C][C]0.452448[/C][/ROW]
[ROW][C]43[/C][C]0.070153[/C][C]0.6196[/C][C]0.268671[/C][/ROW]
[ROW][C]44[/C][C]-0.028498[/C][C]-0.2517[/C][C]0.400973[/C][/ROW]
[ROW][C]45[/C][C]-0.000806[/C][C]-0.0071[/C][C]0.497171[/C][/ROW]
[ROW][C]46[/C][C]0.033338[/C][C]0.2944[/C][C]0.384604[/C][/ROW]
[ROW][C]47[/C][C]0.061835[/C][C]0.5461[/C][C]0.293275[/C][/ROW]
[ROW][C]48[/C][C]-0.026789[/C][C]-0.2366[/C][C]0.406796[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=99612&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=99612&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
10.5142834.5421e-05
2-0.320757-2.83280.002935
3-0.295876-2.61310.005381
40.158831.40270.082331
50.0189530.16740.433747
60.1014290.89580.186559
70.171311.5130.067165
8-0.024597-0.21720.414296
90.1518481.34110.091892
100.1565991.3830.085298
110.1244881.09940.137478
120.0498350.44010.33053
13-0.098593-0.87080.193281
140.0921580.81390.209085
15-0.039554-0.34930.363893
16-0.260565-2.30120.012024
17-0.054077-0.47760.317136
18-0.154639-1.36570.087974
190.0861370.76070.224553
200.0147810.13050.448237
21-0.104565-0.92350.1793
220.0058180.05140.479577
23-0.079624-0.70320.242005
24-0.128218-1.13240.13047
250.0222970.19690.422202
260.0051360.04540.48197
27-0.02213-0.19540.422775
28-0.160068-1.41370.080717
29-0.091926-0.81190.209668
300.1490261.31620.095988
310.0534280.47190.31917
320.0651330.57520.283391
33-0.080127-0.70770.240631
340.0893570.78920.216199
35-0.228265-2.0160.023623
360.0752430.66450.254155
370.0423520.3740.354694
380.0463190.40910.341801
39-0.059091-0.52190.301616
400.1527841.34940.090563
41-0.066917-0.5910.278116
420.0135720.11990.452448
430.0701530.61960.268671
44-0.028498-0.25170.400973
45-0.000806-0.00710.497171
460.0333380.29440.384604
470.0618350.54610.293275
48-0.026789-0.23660.406796



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 1 ; 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')