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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationThu, 13 Dec 2007 13:24:06 -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/2007/Dec/13/t1197577001pib5krjvdhbxd2r.htm/, Retrieved Sun, 05 May 2024 15:15:14 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=3713, Retrieved Sun, 05 May 2024 15:15:14 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact211

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [(Partial) Autocorrelation Function] [ACF werkloosheid] [2007-12-02 20:01:24] [161c63a43ca2891be8e6f4cde6319ab1]
-   PD    [(Partial) Autocorrelation Function] [Totale uitvoer] [2007-12-13 20:24:06] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
15023.6
12083
15761.3
16943
15070.3
13659.6
14768.9
14725.1
15998.1
15370.6
14956.9
15469.7
15101.8
11703.7
16283.6
16726.5
14968.9
14861
14583.3
15305.8
17903.9
16379.4
15420.3
17870.5
15912.8
13866.5
17823.2
17872
17420.4
16704.4
15991.2
16583.6
19123.5
17838.7
17209.4
18586.5
16258.1
15141.6
19202.1
17746.5
19090.1
18040.3
17515.5
17751.8
21072.4
17170
19439.5
19795.4
17574.9
16165.4
19464.6
19932.1
19961.2
17343.4
18924.2
18574.1
21350.6
18840.1
20304.8
21132.4
19753.9

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of compuational 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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3713&T=0

[TABLE]
[ROW][C]Summary of compuational 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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3713&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3713&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Autocorrelation Function
Time lag kACF(k)T-STATP-value
016.92820
1-0.584481-4.04940.999907
2-0.047481-0.3290.62819
30.3193742.21270.015855
4-0.206481-1.43050.92048
5-0.003168-0.0220.508711
60.2264981.56920.061582
7-0.33336-2.30960.987371
80.1819911.26090.106725
90.0457480.3170.376327
10-0.145027-1.00480.839978
110.1451841.00590.159763
12-0.140571-0.97390.832507
13-0.016171-0.1120.544369
140.172931.19810.118381
15-0.067844-0.470.679771
16-0.169736-1.1760.877296
170.1768671.22540.113208
180.0083520.05790.477049
19-0.089981-0.62340.732016
200.0021950.01520.493965
210.1715821.18880.120192
22-0.302001-2.09230.979139
230.2808711.94590.028765
24-0.054819-0.37980.647115
25-0.195075-1.35150.908568
260.1935771.34110.093094
27-0.044913-0.31120.62149
28-0.088459-0.61290.728569
290.1386650.96070.170758
30-0.157872-1.09380.860243
310.0537090.37210.355725
320.1327760.91990.181113
33-0.256265-1.77550.958919
340.1863561.29110.101424
350.003540.02450.490266
36-0.154751-1.07210.855492
370.1593321.10390.137573
38-0.02656-0.1840.572611
39-0.094821-0.65690.742822
400.1179590.81720.208913
41-0.034421-0.23850.593736
42-0.030941-0.21440.584414
430.0511130.35410.362399
44-0.027281-0.1890.574558
450.0027220.01890.492516
460.0076290.05290.479034
47-0.006491-0.0450.517842

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 6.9282 & 0 \tabularnewline
1 & -0.584481 & -4.0494 & 0.999907 \tabularnewline
2 & -0.047481 & -0.329 & 0.62819 \tabularnewline
3 & 0.319374 & 2.2127 & 0.015855 \tabularnewline
4 & -0.206481 & -1.4305 & 0.92048 \tabularnewline
5 & -0.003168 & -0.022 & 0.508711 \tabularnewline
6 & 0.226498 & 1.5692 & 0.061582 \tabularnewline
7 & -0.33336 & -2.3096 & 0.987371 \tabularnewline
8 & 0.181991 & 1.2609 & 0.106725 \tabularnewline
9 & 0.045748 & 0.317 & 0.376327 \tabularnewline
10 & -0.145027 & -1.0048 & 0.839978 \tabularnewline
11 & 0.145184 & 1.0059 & 0.159763 \tabularnewline
12 & -0.140571 & -0.9739 & 0.832507 \tabularnewline
13 & -0.016171 & -0.112 & 0.544369 \tabularnewline
14 & 0.17293 & 1.1981 & 0.118381 \tabularnewline
15 & -0.067844 & -0.47 & 0.679771 \tabularnewline
16 & -0.169736 & -1.176 & 0.877296 \tabularnewline
17 & 0.176867 & 1.2254 & 0.113208 \tabularnewline
18 & 0.008352 & 0.0579 & 0.477049 \tabularnewline
19 & -0.089981 & -0.6234 & 0.732016 \tabularnewline
20 & 0.002195 & 0.0152 & 0.493965 \tabularnewline
21 & 0.171582 & 1.1888 & 0.120192 \tabularnewline
22 & -0.302001 & -2.0923 & 0.979139 \tabularnewline
23 & 0.280871 & 1.9459 & 0.028765 \tabularnewline
24 & -0.054819 & -0.3798 & 0.647115 \tabularnewline
25 & -0.195075 & -1.3515 & 0.908568 \tabularnewline
26 & 0.193577 & 1.3411 & 0.093094 \tabularnewline
27 & -0.044913 & -0.3112 & 0.62149 \tabularnewline
28 & -0.088459 & -0.6129 & 0.728569 \tabularnewline
29 & 0.138665 & 0.9607 & 0.170758 \tabularnewline
30 & -0.157872 & -1.0938 & 0.860243 \tabularnewline
31 & 0.053709 & 0.3721 & 0.355725 \tabularnewline
32 & 0.132776 & 0.9199 & 0.181113 \tabularnewline
33 & -0.256265 & -1.7755 & 0.958919 \tabularnewline
34 & 0.186356 & 1.2911 & 0.101424 \tabularnewline
35 & 0.00354 & 0.0245 & 0.490266 \tabularnewline
36 & -0.154751 & -1.0721 & 0.855492 \tabularnewline
37 & 0.159332 & 1.1039 & 0.137573 \tabularnewline
38 & -0.02656 & -0.184 & 0.572611 \tabularnewline
39 & -0.094821 & -0.6569 & 0.742822 \tabularnewline
40 & 0.117959 & 0.8172 & 0.208913 \tabularnewline
41 & -0.034421 & -0.2385 & 0.593736 \tabularnewline
42 & -0.030941 & -0.2144 & 0.584414 \tabularnewline
43 & 0.051113 & 0.3541 & 0.362399 \tabularnewline
44 & -0.027281 & -0.189 & 0.574558 \tabularnewline
45 & 0.002722 & 0.0189 & 0.492516 \tabularnewline
46 & 0.007629 & 0.0529 & 0.479034 \tabularnewline
47 & -0.006491 & -0.045 & 0.517842 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3713&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]0[/C][C]1[/C][C]6.9282[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]-0.584481[/C][C]-4.0494[/C][C]0.999907[/C][/ROW]
[ROW][C]2[/C][C]-0.047481[/C][C]-0.329[/C][C]0.62819[/C][/ROW]
[ROW][C]3[/C][C]0.319374[/C][C]2.2127[/C][C]0.015855[/C][/ROW]
[ROW][C]4[/C][C]-0.206481[/C][C]-1.4305[/C][C]0.92048[/C][/ROW]
[ROW][C]5[/C][C]-0.003168[/C][C]-0.022[/C][C]0.508711[/C][/ROW]
[ROW][C]6[/C][C]0.226498[/C][C]1.5692[/C][C]0.061582[/C][/ROW]
[ROW][C]7[/C][C]-0.33336[/C][C]-2.3096[/C][C]0.987371[/C][/ROW]
[ROW][C]8[/C][C]0.181991[/C][C]1.2609[/C][C]0.106725[/C][/ROW]
[ROW][C]9[/C][C]0.045748[/C][C]0.317[/C][C]0.376327[/C][/ROW]
[ROW][C]10[/C][C]-0.145027[/C][C]-1.0048[/C][C]0.839978[/C][/ROW]
[ROW][C]11[/C][C]0.145184[/C][C]1.0059[/C][C]0.159763[/C][/ROW]
[ROW][C]12[/C][C]-0.140571[/C][C]-0.9739[/C][C]0.832507[/C][/ROW]
[ROW][C]13[/C][C]-0.016171[/C][C]-0.112[/C][C]0.544369[/C][/ROW]
[ROW][C]14[/C][C]0.17293[/C][C]1.1981[/C][C]0.118381[/C][/ROW]
[ROW][C]15[/C][C]-0.067844[/C][C]-0.47[/C][C]0.679771[/C][/ROW]
[ROW][C]16[/C][C]-0.169736[/C][C]-1.176[/C][C]0.877296[/C][/ROW]
[ROW][C]17[/C][C]0.176867[/C][C]1.2254[/C][C]0.113208[/C][/ROW]
[ROW][C]18[/C][C]0.008352[/C][C]0.0579[/C][C]0.477049[/C][/ROW]
[ROW][C]19[/C][C]-0.089981[/C][C]-0.6234[/C][C]0.732016[/C][/ROW]
[ROW][C]20[/C][C]0.002195[/C][C]0.0152[/C][C]0.493965[/C][/ROW]
[ROW][C]21[/C][C]0.171582[/C][C]1.1888[/C][C]0.120192[/C][/ROW]
[ROW][C]22[/C][C]-0.302001[/C][C]-2.0923[/C][C]0.979139[/C][/ROW]
[ROW][C]23[/C][C]0.280871[/C][C]1.9459[/C][C]0.028765[/C][/ROW]
[ROW][C]24[/C][C]-0.054819[/C][C]-0.3798[/C][C]0.647115[/C][/ROW]
[ROW][C]25[/C][C]-0.195075[/C][C]-1.3515[/C][C]0.908568[/C][/ROW]
[ROW][C]26[/C][C]0.193577[/C][C]1.3411[/C][C]0.093094[/C][/ROW]
[ROW][C]27[/C][C]-0.044913[/C][C]-0.3112[/C][C]0.62149[/C][/ROW]
[ROW][C]28[/C][C]-0.088459[/C][C]-0.6129[/C][C]0.728569[/C][/ROW]
[ROW][C]29[/C][C]0.138665[/C][C]0.9607[/C][C]0.170758[/C][/ROW]
[ROW][C]30[/C][C]-0.157872[/C][C]-1.0938[/C][C]0.860243[/C][/ROW]
[ROW][C]31[/C][C]0.053709[/C][C]0.3721[/C][C]0.355725[/C][/ROW]
[ROW][C]32[/C][C]0.132776[/C][C]0.9199[/C][C]0.181113[/C][/ROW]
[ROW][C]33[/C][C]-0.256265[/C][C]-1.7755[/C][C]0.958919[/C][/ROW]
[ROW][C]34[/C][C]0.186356[/C][C]1.2911[/C][C]0.101424[/C][/ROW]
[ROW][C]35[/C][C]0.00354[/C][C]0.0245[/C][C]0.490266[/C][/ROW]
[ROW][C]36[/C][C]-0.154751[/C][C]-1.0721[/C][C]0.855492[/C][/ROW]
[ROW][C]37[/C][C]0.159332[/C][C]1.1039[/C][C]0.137573[/C][/ROW]
[ROW][C]38[/C][C]-0.02656[/C][C]-0.184[/C][C]0.572611[/C][/ROW]
[ROW][C]39[/C][C]-0.094821[/C][C]-0.6569[/C][C]0.742822[/C][/ROW]
[ROW][C]40[/C][C]0.117959[/C][C]0.8172[/C][C]0.208913[/C][/ROW]
[ROW][C]41[/C][C]-0.034421[/C][C]-0.2385[/C][C]0.593736[/C][/ROW]
[ROW][C]42[/C][C]-0.030941[/C][C]-0.2144[/C][C]0.584414[/C][/ROW]
[ROW][C]43[/C][C]0.051113[/C][C]0.3541[/C][C]0.362399[/C][/ROW]
[ROW][C]44[/C][C]-0.027281[/C][C]-0.189[/C][C]0.574558[/C][/ROW]
[ROW][C]45[/C][C]0.002722[/C][C]0.0189[/C][C]0.492516[/C][/ROW]
[ROW][C]46[/C][C]0.007629[/C][C]0.0529[/C][C]0.479034[/C][/ROW]
[ROW][C]47[/C][C]-0.006491[/C][C]-0.045[/C][C]0.517842[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3713&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3713&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Autocorrelation Function
Time lag kACF(k)T-STATP-value
016.92820
1-0.584481-4.04940.999907
2-0.047481-0.3290.62819
30.3193742.21270.015855
4-0.206481-1.43050.92048
5-0.003168-0.0220.508711
60.2264981.56920.061582
7-0.33336-2.30960.987371
80.1819911.26090.106725
90.0457480.3170.376327
10-0.145027-1.00480.839978
110.1451841.00590.159763
12-0.140571-0.97390.832507
13-0.016171-0.1120.544369
140.172931.19810.118381
15-0.067844-0.470.679771
16-0.169736-1.1760.877296
170.1768671.22540.113208
180.0083520.05790.477049
19-0.089981-0.62340.732016
200.0021950.01520.493965
210.1715821.18880.120192
22-0.302001-2.09230.979139
230.2808711.94590.028765
24-0.054819-0.37980.647115
25-0.195075-1.35150.908568
260.1935771.34110.093094
27-0.044913-0.31120.62149
28-0.088459-0.61290.728569
290.1386650.96070.170758
30-0.157872-1.09380.860243
310.0537090.37210.355725
320.1327760.91990.181113
33-0.256265-1.77550.958919
340.1863561.29110.101424
350.003540.02450.490266
36-0.154751-1.07210.855492
370.1593321.10390.137573
38-0.02656-0.1840.572611
39-0.094821-0.65690.742822
400.1179590.81720.208913
41-0.034421-0.23850.593736
42-0.030941-0.21440.584414
430.0511130.35410.362399
44-0.027281-0.1890.574558
450.0027220.01890.492516
460.0076290.05290.479034
47-0.006491-0.0450.517842






Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
0-0.584481-4.04940.999907
1-0.590993-4.09450.999919
2-0.163862-1.13530.86905
3-0.02311-0.16010.563266
40.0108740.07530.470129
50.3112372.15630.01805
6-0.002846-0.01970.507825
7-0.100845-0.69870.755935
8-0.157998-1.09460.860432
9-0.097219-0.67360.748087
100.1362630.94410.174935
11-0.049119-0.34030.632445
12-0.219908-1.52360.932911
13-0.20491-1.41970.918915
140.1710821.18530.120869
150.0994210.68880.247129
16-0.084945-0.58850.720528
17-0.003294-0.02280.509056
180.0163040.1130.455268
19-0.16196-1.12210.866297
200.248671.72280.045678
210.0127330.08820.465036
220.0260180.18030.428855
23-0.054993-0.3810.647559
24-0.200213-1.38710.914093
25-0.106854-0.74030.768639
26-0.093566-0.64820.740042
27-0.014058-0.09740.538593
28-0.111555-0.77290.778308
29-0.108697-0.75310.772459
30-0.019183-0.13290.552587
310.0335270.23230.408653
32-0.045049-0.31210.621845
33-0.033786-0.23410.592038
34-0.022431-0.15540.561422
35-0.055148-0.38210.647955
36-0.067722-0.46920.679471
37-0.109393-0.75790.773891
380.0291340.20180.420444
390.0311050.21550.415145
400.0284010.19680.422419
41-0.086673-0.60050.724497
420.0340140.23570.40735
43-0.0071-0.04920.519514
44-0.012551-0.0870.534466
450.0174240.12070.45221
46-0.003554-0.02460.509771
47NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & -0.584481 & -4.0494 & 0.999907 \tabularnewline
1 & -0.590993 & -4.0945 & 0.999919 \tabularnewline
2 & -0.163862 & -1.1353 & 0.86905 \tabularnewline
3 & -0.02311 & -0.1601 & 0.563266 \tabularnewline
4 & 0.010874 & 0.0753 & 0.470129 \tabularnewline
5 & 0.311237 & 2.1563 & 0.01805 \tabularnewline
6 & -0.002846 & -0.0197 & 0.507825 \tabularnewline
7 & -0.100845 & -0.6987 & 0.755935 \tabularnewline
8 & -0.157998 & -1.0946 & 0.860432 \tabularnewline
9 & -0.097219 & -0.6736 & 0.748087 \tabularnewline
10 & 0.136263 & 0.9441 & 0.174935 \tabularnewline
11 & -0.049119 & -0.3403 & 0.632445 \tabularnewline
12 & -0.219908 & -1.5236 & 0.932911 \tabularnewline
13 & -0.20491 & -1.4197 & 0.918915 \tabularnewline
14 & 0.171082 & 1.1853 & 0.120869 \tabularnewline
15 & 0.099421 & 0.6888 & 0.247129 \tabularnewline
16 & -0.084945 & -0.5885 & 0.720528 \tabularnewline
17 & -0.003294 & -0.0228 & 0.509056 \tabularnewline
18 & 0.016304 & 0.113 & 0.455268 \tabularnewline
19 & -0.16196 & -1.1221 & 0.866297 \tabularnewline
20 & 0.24867 & 1.7228 & 0.045678 \tabularnewline
21 & 0.012733 & 0.0882 & 0.465036 \tabularnewline
22 & 0.026018 & 0.1803 & 0.428855 \tabularnewline
23 & -0.054993 & -0.381 & 0.647559 \tabularnewline
24 & -0.200213 & -1.3871 & 0.914093 \tabularnewline
25 & -0.106854 & -0.7403 & 0.768639 \tabularnewline
26 & -0.093566 & -0.6482 & 0.740042 \tabularnewline
27 & -0.014058 & -0.0974 & 0.538593 \tabularnewline
28 & -0.111555 & -0.7729 & 0.778308 \tabularnewline
29 & -0.108697 & -0.7531 & 0.772459 \tabularnewline
30 & -0.019183 & -0.1329 & 0.552587 \tabularnewline
31 & 0.033527 & 0.2323 & 0.408653 \tabularnewline
32 & -0.045049 & -0.3121 & 0.621845 \tabularnewline
33 & -0.033786 & -0.2341 & 0.592038 \tabularnewline
34 & -0.022431 & -0.1554 & 0.561422 \tabularnewline
35 & -0.055148 & -0.3821 & 0.647955 \tabularnewline
36 & -0.067722 & -0.4692 & 0.679471 \tabularnewline
37 & -0.109393 & -0.7579 & 0.773891 \tabularnewline
38 & 0.029134 & 0.2018 & 0.420444 \tabularnewline
39 & 0.031105 & 0.2155 & 0.415145 \tabularnewline
40 & 0.028401 & 0.1968 & 0.422419 \tabularnewline
41 & -0.086673 & -0.6005 & 0.724497 \tabularnewline
42 & 0.034014 & 0.2357 & 0.40735 \tabularnewline
43 & -0.0071 & -0.0492 & 0.519514 \tabularnewline
44 & -0.012551 & -0.087 & 0.534466 \tabularnewline
45 & 0.017424 & 0.1207 & 0.45221 \tabularnewline
46 & -0.003554 & -0.0246 & 0.509771 \tabularnewline
47 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3713&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]0[/C][C]-0.584481[/C][C]-4.0494[/C][C]0.999907[/C][/ROW]
[ROW][C]1[/C][C]-0.590993[/C][C]-4.0945[/C][C]0.999919[/C][/ROW]
[ROW][C]2[/C][C]-0.163862[/C][C]-1.1353[/C][C]0.86905[/C][/ROW]
[ROW][C]3[/C][C]-0.02311[/C][C]-0.1601[/C][C]0.563266[/C][/ROW]
[ROW][C]4[/C][C]0.010874[/C][C]0.0753[/C][C]0.470129[/C][/ROW]
[ROW][C]5[/C][C]0.311237[/C][C]2.1563[/C][C]0.01805[/C][/ROW]
[ROW][C]6[/C][C]-0.002846[/C][C]-0.0197[/C][C]0.507825[/C][/ROW]
[ROW][C]7[/C][C]-0.100845[/C][C]-0.6987[/C][C]0.755935[/C][/ROW]
[ROW][C]8[/C][C]-0.157998[/C][C]-1.0946[/C][C]0.860432[/C][/ROW]
[ROW][C]9[/C][C]-0.097219[/C][C]-0.6736[/C][C]0.748087[/C][/ROW]
[ROW][C]10[/C][C]0.136263[/C][C]0.9441[/C][C]0.174935[/C][/ROW]
[ROW][C]11[/C][C]-0.049119[/C][C]-0.3403[/C][C]0.632445[/C][/ROW]
[ROW][C]12[/C][C]-0.219908[/C][C]-1.5236[/C][C]0.932911[/C][/ROW]
[ROW][C]13[/C][C]-0.20491[/C][C]-1.4197[/C][C]0.918915[/C][/ROW]
[ROW][C]14[/C][C]0.171082[/C][C]1.1853[/C][C]0.120869[/C][/ROW]
[ROW][C]15[/C][C]0.099421[/C][C]0.6888[/C][C]0.247129[/C][/ROW]
[ROW][C]16[/C][C]-0.084945[/C][C]-0.5885[/C][C]0.720528[/C][/ROW]
[ROW][C]17[/C][C]-0.003294[/C][C]-0.0228[/C][C]0.509056[/C][/ROW]
[ROW][C]18[/C][C]0.016304[/C][C]0.113[/C][C]0.455268[/C][/ROW]
[ROW][C]19[/C][C]-0.16196[/C][C]-1.1221[/C][C]0.866297[/C][/ROW]
[ROW][C]20[/C][C]0.24867[/C][C]1.7228[/C][C]0.045678[/C][/ROW]
[ROW][C]21[/C][C]0.012733[/C][C]0.0882[/C][C]0.465036[/C][/ROW]
[ROW][C]22[/C][C]0.026018[/C][C]0.1803[/C][C]0.428855[/C][/ROW]
[ROW][C]23[/C][C]-0.054993[/C][C]-0.381[/C][C]0.647559[/C][/ROW]
[ROW][C]24[/C][C]-0.200213[/C][C]-1.3871[/C][C]0.914093[/C][/ROW]
[ROW][C]25[/C][C]-0.106854[/C][C]-0.7403[/C][C]0.768639[/C][/ROW]
[ROW][C]26[/C][C]-0.093566[/C][C]-0.6482[/C][C]0.740042[/C][/ROW]
[ROW][C]27[/C][C]-0.014058[/C][C]-0.0974[/C][C]0.538593[/C][/ROW]
[ROW][C]28[/C][C]-0.111555[/C][C]-0.7729[/C][C]0.778308[/C][/ROW]
[ROW][C]29[/C][C]-0.108697[/C][C]-0.7531[/C][C]0.772459[/C][/ROW]
[ROW][C]30[/C][C]-0.019183[/C][C]-0.1329[/C][C]0.552587[/C][/ROW]
[ROW][C]31[/C][C]0.033527[/C][C]0.2323[/C][C]0.408653[/C][/ROW]
[ROW][C]32[/C][C]-0.045049[/C][C]-0.3121[/C][C]0.621845[/C][/ROW]
[ROW][C]33[/C][C]-0.033786[/C][C]-0.2341[/C][C]0.592038[/C][/ROW]
[ROW][C]34[/C][C]-0.022431[/C][C]-0.1554[/C][C]0.561422[/C][/ROW]
[ROW][C]35[/C][C]-0.055148[/C][C]-0.3821[/C][C]0.647955[/C][/ROW]
[ROW][C]36[/C][C]-0.067722[/C][C]-0.4692[/C][C]0.679471[/C][/ROW]
[ROW][C]37[/C][C]-0.109393[/C][C]-0.7579[/C][C]0.773891[/C][/ROW]
[ROW][C]38[/C][C]0.029134[/C][C]0.2018[/C][C]0.420444[/C][/ROW]
[ROW][C]39[/C][C]0.031105[/C][C]0.2155[/C][C]0.415145[/C][/ROW]
[ROW][C]40[/C][C]0.028401[/C][C]0.1968[/C][C]0.422419[/C][/ROW]
[ROW][C]41[/C][C]-0.086673[/C][C]-0.6005[/C][C]0.724497[/C][/ROW]
[ROW][C]42[/C][C]0.034014[/C][C]0.2357[/C][C]0.40735[/C][/ROW]
[ROW][C]43[/C][C]-0.0071[/C][C]-0.0492[/C][C]0.519514[/C][/ROW]
[ROW][C]44[/C][C]-0.012551[/C][C]-0.087[/C][C]0.534466[/C][/ROW]
[ROW][C]45[/C][C]0.017424[/C][C]0.1207[/C][C]0.45221[/C][/ROW]
[ROW][C]46[/C][C]-0.003554[/C][C]-0.0246[/C][C]0.509771[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3713&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3713&T=2

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
0-0.584481-4.04940.999907
1-0.590993-4.09450.999919
2-0.163862-1.13530.86905
3-0.02311-0.16010.563266
40.0108740.07530.470129
50.3112372.15630.01805
6-0.002846-0.01970.507825
7-0.100845-0.69870.755935
8-0.157998-1.09460.860432
9-0.097219-0.67360.748087
100.1362630.94410.174935
11-0.049119-0.34030.632445
12-0.219908-1.52360.932911
13-0.20491-1.41970.918915
140.1710821.18530.120869
150.0994210.68880.247129
16-0.084945-0.58850.720528
17-0.003294-0.02280.509056
180.0163040.1130.455268
19-0.16196-1.12210.866297
200.248671.72280.045678
210.0127330.08820.465036
220.0260180.18030.428855
23-0.054993-0.3810.647559
24-0.200213-1.38710.914093
25-0.106854-0.74030.768639
26-0.093566-0.64820.740042
27-0.014058-0.09740.538593
28-0.111555-0.77290.778308
29-0.108697-0.75310.772459
30-0.019183-0.13290.552587
310.0335270.23230.408653
32-0.045049-0.31210.621845
33-0.033786-0.23410.592038
34-0.022431-0.15540.561422
35-0.055148-0.38210.647955
36-0.067722-0.46920.679471
37-0.109393-0.75790.773891
380.0291340.20180.420444
390.0311050.21550.415145
400.0284010.19680.422419
41-0.086673-0.60050.724497
420.0340140.23570.40735
43-0.0071-0.04920.519514
44-0.012551-0.0870.534466
450.0174240.12070.45221
46-0.003554-0.02460.509771
47NANANA


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; 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 1:par1) {
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(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-1,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(mytstat,lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')