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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 computationWed, 17 Nov 2010 20:39:43 +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/17/t1290026349x90c0fdmfadpdiw.htm/, Retrieved Sat, 20 Apr 2024 00:55:45 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=96942, Retrieved Sat, 20 Apr 2024 00:55:45 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP2W12
Estimated Impact115

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] [opg6bis_deel2_met...] [2010-11-17 20:39:43] [ba6a6eaac02e80e5d4f1379a58894c63] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
24.3
29.4
31.8
36.7
37.1
37.7
39.4
43.3
39.6
34.3
32
29.6
22.3
28.9
31.7
34.2
38.6
37.2
38.8
43.4
38.8
36.3
33
29.2
22.64
28.44
30.14
34.39
36.82
36.74
38.9
42.8
39.09
37.49
33.17
30.98
21.2
27.8
29
35.4
37.5
34.7
38.4
39.9
35.9
34.7
30.4
29
21.5
28
29.3
34.3
36.6
36.2
37.5
41.6
39.4
37.3
32.7
30.7
22.9
29.1
29.5
37.1
37.7
38.4
39.4
40.6
39.7
36.6
32.8
31.6
24.1
30.3
31.8
38.7
37.8
38.4
40.7
43.8
41.5
39.3
35.9
33.4

Tables (Output of Computation)





Summary of computational 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 computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=96942&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=96942&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=96942&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 computational 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
10.06850.62410.267148
20.2283332.08020.020295
3-0.126526-1.15270.126169
4-0.132087-1.20340.116128
5-0.340699-3.10390.001306
6-0.18311-1.66820.049521
7-0.373196-3.40.000519
8-0.156578-1.42650.078739
9-0.149791-1.36470.088024
100.1645321.4990.068839
110.0773940.70510.241364
120.7978557.26880
130.0819390.74650.228739
140.2267572.06590.02098
15-0.128822-1.17360.12195
16-0.07593-0.69180.245511
17-0.312664-2.84850.002768
18-0.140978-1.28440.101294
19-0.312306-2.84520.002794
20-0.141061-1.28510.101162
21-0.104101-0.94840.172837
220.0951340.86670.194299
230.0827450.75380.226539
240.6556495.97320
250.0600980.54750.292747
260.2180081.98610.025159
27-0.131901-1.20170.116454
28-0.054545-0.49690.310277
29-0.240498-2.1910.015626
30-0.134981-1.22970.111135
31-0.244825-2.23050.014208
32-0.09778-0.89080.187802
33-0.089892-0.8190.20758
340.0720180.65610.256783
350.0612850.55830.28906
360.4992244.54819e-06
370.0720030.6560.256826
380.1425651.29880.0988
39-0.08383-0.76370.223596
40-0.050172-0.45710.324401
41-0.199951-1.82160.036056
42-0.078757-0.71750.237537
43-0.215734-1.96540.026354
44-0.072423-0.65980.255603
45-0.063522-0.57870.282174
460.050150.45690.324473
470.0669190.60970.271877
480.331493.020.001679

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.0685 & 0.6241 & 0.267148 \tabularnewline
2 & 0.228333 & 2.0802 & 0.020295 \tabularnewline
3 & -0.126526 & -1.1527 & 0.126169 \tabularnewline
4 & -0.132087 & -1.2034 & 0.116128 \tabularnewline
5 & -0.340699 & -3.1039 & 0.001306 \tabularnewline
6 & -0.18311 & -1.6682 & 0.049521 \tabularnewline
7 & -0.373196 & -3.4 & 0.000519 \tabularnewline
8 & -0.156578 & -1.4265 & 0.078739 \tabularnewline
9 & -0.149791 & -1.3647 & 0.088024 \tabularnewline
10 & 0.164532 & 1.499 & 0.068839 \tabularnewline
11 & 0.077394 & 0.7051 & 0.241364 \tabularnewline
12 & 0.797855 & 7.2688 & 0 \tabularnewline
13 & 0.081939 & 0.7465 & 0.228739 \tabularnewline
14 & 0.226757 & 2.0659 & 0.02098 \tabularnewline
15 & -0.128822 & -1.1736 & 0.12195 \tabularnewline
16 & -0.07593 & -0.6918 & 0.245511 \tabularnewline
17 & -0.312664 & -2.8485 & 0.002768 \tabularnewline
18 & -0.140978 & -1.2844 & 0.101294 \tabularnewline
19 & -0.312306 & -2.8452 & 0.002794 \tabularnewline
20 & -0.141061 & -1.2851 & 0.101162 \tabularnewline
21 & -0.104101 & -0.9484 & 0.172837 \tabularnewline
22 & 0.095134 & 0.8667 & 0.194299 \tabularnewline
23 & 0.082745 & 0.7538 & 0.226539 \tabularnewline
24 & 0.655649 & 5.9732 & 0 \tabularnewline
25 & 0.060098 & 0.5475 & 0.292747 \tabularnewline
26 & 0.218008 & 1.9861 & 0.025159 \tabularnewline
27 & -0.131901 & -1.2017 & 0.116454 \tabularnewline
28 & -0.054545 & -0.4969 & 0.310277 \tabularnewline
29 & -0.240498 & -2.191 & 0.015626 \tabularnewline
30 & -0.134981 & -1.2297 & 0.111135 \tabularnewline
31 & -0.244825 & -2.2305 & 0.014208 \tabularnewline
32 & -0.09778 & -0.8908 & 0.187802 \tabularnewline
33 & -0.089892 & -0.819 & 0.20758 \tabularnewline
34 & 0.072018 & 0.6561 & 0.256783 \tabularnewline
35 & 0.061285 & 0.5583 & 0.28906 \tabularnewline
36 & 0.499224 & 4.5481 & 9e-06 \tabularnewline
37 & 0.072003 & 0.656 & 0.256826 \tabularnewline
38 & 0.142565 & 1.2988 & 0.0988 \tabularnewline
39 & -0.08383 & -0.7637 & 0.223596 \tabularnewline
40 & -0.050172 & -0.4571 & 0.324401 \tabularnewline
41 & -0.199951 & -1.8216 & 0.036056 \tabularnewline
42 & -0.078757 & -0.7175 & 0.237537 \tabularnewline
43 & -0.215734 & -1.9654 & 0.026354 \tabularnewline
44 & -0.072423 & -0.6598 & 0.255603 \tabularnewline
45 & -0.063522 & -0.5787 & 0.282174 \tabularnewline
46 & 0.05015 & 0.4569 & 0.324473 \tabularnewline
47 & 0.066919 & 0.6097 & 0.271877 \tabularnewline
48 & 0.33149 & 3.02 & 0.001679 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=96942&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]0.0685[/C][C]0.6241[/C][C]0.267148[/C][/ROW]
[ROW][C]2[/C][C]0.228333[/C][C]2.0802[/C][C]0.020295[/C][/ROW]
[ROW][C]3[/C][C]-0.126526[/C][C]-1.1527[/C][C]0.126169[/C][/ROW]
[ROW][C]4[/C][C]-0.132087[/C][C]-1.2034[/C][C]0.116128[/C][/ROW]
[ROW][C]5[/C][C]-0.340699[/C][C]-3.1039[/C][C]0.001306[/C][/ROW]
[ROW][C]6[/C][C]-0.18311[/C][C]-1.6682[/C][C]0.049521[/C][/ROW]
[ROW][C]7[/C][C]-0.373196[/C][C]-3.4[/C][C]0.000519[/C][/ROW]
[ROW][C]8[/C][C]-0.156578[/C][C]-1.4265[/C][C]0.078739[/C][/ROW]
[ROW][C]9[/C][C]-0.149791[/C][C]-1.3647[/C][C]0.088024[/C][/ROW]
[ROW][C]10[/C][C]0.164532[/C][C]1.499[/C][C]0.068839[/C][/ROW]
[ROW][C]11[/C][C]0.077394[/C][C]0.7051[/C][C]0.241364[/C][/ROW]
[ROW][C]12[/C][C]0.797855[/C][C]7.2688[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.081939[/C][C]0.7465[/C][C]0.228739[/C][/ROW]
[ROW][C]14[/C][C]0.226757[/C][C]2.0659[/C][C]0.02098[/C][/ROW]
[ROW][C]15[/C][C]-0.128822[/C][C]-1.1736[/C][C]0.12195[/C][/ROW]
[ROW][C]16[/C][C]-0.07593[/C][C]-0.6918[/C][C]0.245511[/C][/ROW]
[ROW][C]17[/C][C]-0.312664[/C][C]-2.8485[/C][C]0.002768[/C][/ROW]
[ROW][C]18[/C][C]-0.140978[/C][C]-1.2844[/C][C]0.101294[/C][/ROW]
[ROW][C]19[/C][C]-0.312306[/C][C]-2.8452[/C][C]0.002794[/C][/ROW]
[ROW][C]20[/C][C]-0.141061[/C][C]-1.2851[/C][C]0.101162[/C][/ROW]
[ROW][C]21[/C][C]-0.104101[/C][C]-0.9484[/C][C]0.172837[/C][/ROW]
[ROW][C]22[/C][C]0.095134[/C][C]0.8667[/C][C]0.194299[/C][/ROW]
[ROW][C]23[/C][C]0.082745[/C][C]0.7538[/C][C]0.226539[/C][/ROW]
[ROW][C]24[/C][C]0.655649[/C][C]5.9732[/C][C]0[/C][/ROW]
[ROW][C]25[/C][C]0.060098[/C][C]0.5475[/C][C]0.292747[/C][/ROW]
[ROW][C]26[/C][C]0.218008[/C][C]1.9861[/C][C]0.025159[/C][/ROW]
[ROW][C]27[/C][C]-0.131901[/C][C]-1.2017[/C][C]0.116454[/C][/ROW]
[ROW][C]28[/C][C]-0.054545[/C][C]-0.4969[/C][C]0.310277[/C][/ROW]
[ROW][C]29[/C][C]-0.240498[/C][C]-2.191[/C][C]0.015626[/C][/ROW]
[ROW][C]30[/C][C]-0.134981[/C][C]-1.2297[/C][C]0.111135[/C][/ROW]
[ROW][C]31[/C][C]-0.244825[/C][C]-2.2305[/C][C]0.014208[/C][/ROW]
[ROW][C]32[/C][C]-0.09778[/C][C]-0.8908[/C][C]0.187802[/C][/ROW]
[ROW][C]33[/C][C]-0.089892[/C][C]-0.819[/C][C]0.20758[/C][/ROW]
[ROW][C]34[/C][C]0.072018[/C][C]0.6561[/C][C]0.256783[/C][/ROW]
[ROW][C]35[/C][C]0.061285[/C][C]0.5583[/C][C]0.28906[/C][/ROW]
[ROW][C]36[/C][C]0.499224[/C][C]4.5481[/C][C]9e-06[/C][/ROW]
[ROW][C]37[/C][C]0.072003[/C][C]0.656[/C][C]0.256826[/C][/ROW]
[ROW][C]38[/C][C]0.142565[/C][C]1.2988[/C][C]0.0988[/C][/ROW]
[ROW][C]39[/C][C]-0.08383[/C][C]-0.7637[/C][C]0.223596[/C][/ROW]
[ROW][C]40[/C][C]-0.050172[/C][C]-0.4571[/C][C]0.324401[/C][/ROW]
[ROW][C]41[/C][C]-0.199951[/C][C]-1.8216[/C][C]0.036056[/C][/ROW]
[ROW][C]42[/C][C]-0.078757[/C][C]-0.7175[/C][C]0.237537[/C][/ROW]
[ROW][C]43[/C][C]-0.215734[/C][C]-1.9654[/C][C]0.026354[/C][/ROW]
[ROW][C]44[/C][C]-0.072423[/C][C]-0.6598[/C][C]0.255603[/C][/ROW]
[ROW][C]45[/C][C]-0.063522[/C][C]-0.5787[/C][C]0.282174[/C][/ROW]
[ROW][C]46[/C][C]0.05015[/C][C]0.4569[/C][C]0.324473[/C][/ROW]
[ROW][C]47[/C][C]0.066919[/C][C]0.6097[/C][C]0.271877[/C][/ROW]
[ROW][C]48[/C][C]0.33149[/C][C]3.02[/C][C]0.001679[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=96942&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=96942&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
10.06850.62410.267148
20.2283332.08020.020295
3-0.126526-1.15270.126169
4-0.132087-1.20340.116128
5-0.340699-3.10390.001306
6-0.18311-1.66820.049521
7-0.373196-3.40.000519
8-0.156578-1.42650.078739
9-0.149791-1.36470.088024
100.1645321.4990.068839
110.0773940.70510.241364
120.7978557.26880
130.0819390.74650.228739
140.2267572.06590.02098
15-0.128822-1.17360.12195
16-0.07593-0.69180.245511
17-0.312664-2.84850.002768
18-0.140978-1.28440.101294
19-0.312306-2.84520.002794
20-0.141061-1.28510.101162
21-0.104101-0.94840.172837
220.0951340.86670.194299
230.0827450.75380.226539
240.6556495.97320
250.0600980.54750.292747
260.2180081.98610.025159
27-0.131901-1.20170.116454
28-0.054545-0.49690.310277
29-0.240498-2.1910.015626
30-0.134981-1.22970.111135
31-0.244825-2.23050.014208
32-0.09778-0.89080.187802
33-0.089892-0.8190.20758
340.0720180.65610.256783
350.0612850.55830.28906
360.4992244.54819e-06
370.0720030.6560.256826
380.1425651.29880.0988
39-0.08383-0.76370.223596
40-0.050172-0.45710.324401
41-0.199951-1.82160.036056
42-0.078757-0.71750.237537
43-0.215734-1.96540.026354
44-0.072423-0.65980.255603
45-0.063522-0.57870.282174
460.050150.45690.324473
470.0669190.60970.271877
480.331493.020.001679






Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.06850.62410.267148
20.2246952.04710.021907
3-0.163-1.4850.070666
4-0.17702-1.61270.055299
5-0.283002-2.57830.005847
6-0.123897-1.12880.131126
7-0.32095-2.9240.002227
8-0.268496-2.44610.008277
9-0.28256-2.57420.005911
10-0.109523-0.99780.160638
11-0.258605-2.3560.010415
120.6535325.9540
13-0.01913-0.17430.431033
14-0.163128-1.48620.070511
15-0.178805-1.6290.053552
160.0019810.01810.49282
17-0.073642-0.67090.252069
18-0.000527-0.00480.49809
190.1339891.22070.112829
200.030490.27780.390938
210.0775350.70640.240966
22-0.131397-1.19710.117341
23-0.064225-0.58510.280027
240.037340.34020.367291
25-0.054963-0.50070.308942
260.0011670.01060.495772
270.0074160.06760.473147
28-0.00652-0.05940.476389
290.0884250.80560.21139
30-0.081128-0.73910.230962
31-0.002831-0.02580.489744
320.0664360.60530.273327
33-0.021729-0.1980.421779
340.0078910.07190.471433
35-0.049132-0.44760.327799
36-0.087181-0.79430.214655
370.0458240.41750.338704
38-0.115147-1.0490.148602
390.0961980.87640.19167
400.0104780.09550.462089
41-0.042267-0.38510.350585
420.0493640.44970.32704
43-0.090372-0.82330.20634
44-0.098306-0.89560.186526
45-0.043983-0.40070.344834
460.06290.5730.28408
470.0356030.32440.373242
48-0.16612-1.51340.066986

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.0685 & 0.6241 & 0.267148 \tabularnewline
2 & 0.224695 & 2.0471 & 0.021907 \tabularnewline
3 & -0.163 & -1.485 & 0.070666 \tabularnewline
4 & -0.17702 & -1.6127 & 0.055299 \tabularnewline
5 & -0.283002 & -2.5783 & 0.005847 \tabularnewline
6 & -0.123897 & -1.1288 & 0.131126 \tabularnewline
7 & -0.32095 & -2.924 & 0.002227 \tabularnewline
8 & -0.268496 & -2.4461 & 0.008277 \tabularnewline
9 & -0.28256 & -2.5742 & 0.005911 \tabularnewline
10 & -0.109523 & -0.9978 & 0.160638 \tabularnewline
11 & -0.258605 & -2.356 & 0.010415 \tabularnewline
12 & 0.653532 & 5.954 & 0 \tabularnewline
13 & -0.01913 & -0.1743 & 0.431033 \tabularnewline
14 & -0.163128 & -1.4862 & 0.070511 \tabularnewline
15 & -0.178805 & -1.629 & 0.053552 \tabularnewline
16 & 0.001981 & 0.0181 & 0.49282 \tabularnewline
17 & -0.073642 & -0.6709 & 0.252069 \tabularnewline
18 & -0.000527 & -0.0048 & 0.49809 \tabularnewline
19 & 0.133989 & 1.2207 & 0.112829 \tabularnewline
20 & 0.03049 & 0.2778 & 0.390938 \tabularnewline
21 & 0.077535 & 0.7064 & 0.240966 \tabularnewline
22 & -0.131397 & -1.1971 & 0.117341 \tabularnewline
23 & -0.064225 & -0.5851 & 0.280027 \tabularnewline
24 & 0.03734 & 0.3402 & 0.367291 \tabularnewline
25 & -0.054963 & -0.5007 & 0.308942 \tabularnewline
26 & 0.001167 & 0.0106 & 0.495772 \tabularnewline
27 & 0.007416 & 0.0676 & 0.473147 \tabularnewline
28 & -0.00652 & -0.0594 & 0.476389 \tabularnewline
29 & 0.088425 & 0.8056 & 0.21139 \tabularnewline
30 & -0.081128 & -0.7391 & 0.230962 \tabularnewline
31 & -0.002831 & -0.0258 & 0.489744 \tabularnewline
32 & 0.066436 & 0.6053 & 0.273327 \tabularnewline
33 & -0.021729 & -0.198 & 0.421779 \tabularnewline
34 & 0.007891 & 0.0719 & 0.471433 \tabularnewline
35 & -0.049132 & -0.4476 & 0.327799 \tabularnewline
36 & -0.087181 & -0.7943 & 0.214655 \tabularnewline
37 & 0.045824 & 0.4175 & 0.338704 \tabularnewline
38 & -0.115147 & -1.049 & 0.148602 \tabularnewline
39 & 0.096198 & 0.8764 & 0.19167 \tabularnewline
40 & 0.010478 & 0.0955 & 0.462089 \tabularnewline
41 & -0.042267 & -0.3851 & 0.350585 \tabularnewline
42 & 0.049364 & 0.4497 & 0.32704 \tabularnewline
43 & -0.090372 & -0.8233 & 0.20634 \tabularnewline
44 & -0.098306 & -0.8956 & 0.186526 \tabularnewline
45 & -0.043983 & -0.4007 & 0.344834 \tabularnewline
46 & 0.0629 & 0.573 & 0.28408 \tabularnewline
47 & 0.035603 & 0.3244 & 0.373242 \tabularnewline
48 & -0.16612 & -1.5134 & 0.066986 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=96942&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]0.0685[/C][C]0.6241[/C][C]0.267148[/C][/ROW]
[ROW][C]2[/C][C]0.224695[/C][C]2.0471[/C][C]0.021907[/C][/ROW]
[ROW][C]3[/C][C]-0.163[/C][C]-1.485[/C][C]0.070666[/C][/ROW]
[ROW][C]4[/C][C]-0.17702[/C][C]-1.6127[/C][C]0.055299[/C][/ROW]
[ROW][C]5[/C][C]-0.283002[/C][C]-2.5783[/C][C]0.005847[/C][/ROW]
[ROW][C]6[/C][C]-0.123897[/C][C]-1.1288[/C][C]0.131126[/C][/ROW]
[ROW][C]7[/C][C]-0.32095[/C][C]-2.924[/C][C]0.002227[/C][/ROW]
[ROW][C]8[/C][C]-0.268496[/C][C]-2.4461[/C][C]0.008277[/C][/ROW]
[ROW][C]9[/C][C]-0.28256[/C][C]-2.5742[/C][C]0.005911[/C][/ROW]
[ROW][C]10[/C][C]-0.109523[/C][C]-0.9978[/C][C]0.160638[/C][/ROW]
[ROW][C]11[/C][C]-0.258605[/C][C]-2.356[/C][C]0.010415[/C][/ROW]
[ROW][C]12[/C][C]0.653532[/C][C]5.954[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]-0.01913[/C][C]-0.1743[/C][C]0.431033[/C][/ROW]
[ROW][C]14[/C][C]-0.163128[/C][C]-1.4862[/C][C]0.070511[/C][/ROW]
[ROW][C]15[/C][C]-0.178805[/C][C]-1.629[/C][C]0.053552[/C][/ROW]
[ROW][C]16[/C][C]0.001981[/C][C]0.0181[/C][C]0.49282[/C][/ROW]
[ROW][C]17[/C][C]-0.073642[/C][C]-0.6709[/C][C]0.252069[/C][/ROW]
[ROW][C]18[/C][C]-0.000527[/C][C]-0.0048[/C][C]0.49809[/C][/ROW]
[ROW][C]19[/C][C]0.133989[/C][C]1.2207[/C][C]0.112829[/C][/ROW]
[ROW][C]20[/C][C]0.03049[/C][C]0.2778[/C][C]0.390938[/C][/ROW]
[ROW][C]21[/C][C]0.077535[/C][C]0.7064[/C][C]0.240966[/C][/ROW]
[ROW][C]22[/C][C]-0.131397[/C][C]-1.1971[/C][C]0.117341[/C][/ROW]
[ROW][C]23[/C][C]-0.064225[/C][C]-0.5851[/C][C]0.280027[/C][/ROW]
[ROW][C]24[/C][C]0.03734[/C][C]0.3402[/C][C]0.367291[/C][/ROW]
[ROW][C]25[/C][C]-0.054963[/C][C]-0.5007[/C][C]0.308942[/C][/ROW]
[ROW][C]26[/C][C]0.001167[/C][C]0.0106[/C][C]0.495772[/C][/ROW]
[ROW][C]27[/C][C]0.007416[/C][C]0.0676[/C][C]0.473147[/C][/ROW]
[ROW][C]28[/C][C]-0.00652[/C][C]-0.0594[/C][C]0.476389[/C][/ROW]
[ROW][C]29[/C][C]0.088425[/C][C]0.8056[/C][C]0.21139[/C][/ROW]
[ROW][C]30[/C][C]-0.081128[/C][C]-0.7391[/C][C]0.230962[/C][/ROW]
[ROW][C]31[/C][C]-0.002831[/C][C]-0.0258[/C][C]0.489744[/C][/ROW]
[ROW][C]32[/C][C]0.066436[/C][C]0.6053[/C][C]0.273327[/C][/ROW]
[ROW][C]33[/C][C]-0.021729[/C][C]-0.198[/C][C]0.421779[/C][/ROW]
[ROW][C]34[/C][C]0.007891[/C][C]0.0719[/C][C]0.471433[/C][/ROW]
[ROW][C]35[/C][C]-0.049132[/C][C]-0.4476[/C][C]0.327799[/C][/ROW]
[ROW][C]36[/C][C]-0.087181[/C][C]-0.7943[/C][C]0.214655[/C][/ROW]
[ROW][C]37[/C][C]0.045824[/C][C]0.4175[/C][C]0.338704[/C][/ROW]
[ROW][C]38[/C][C]-0.115147[/C][C]-1.049[/C][C]0.148602[/C][/ROW]
[ROW][C]39[/C][C]0.096198[/C][C]0.8764[/C][C]0.19167[/C][/ROW]
[ROW][C]40[/C][C]0.010478[/C][C]0.0955[/C][C]0.462089[/C][/ROW]
[ROW][C]41[/C][C]-0.042267[/C][C]-0.3851[/C][C]0.350585[/C][/ROW]
[ROW][C]42[/C][C]0.049364[/C][C]0.4497[/C][C]0.32704[/C][/ROW]
[ROW][C]43[/C][C]-0.090372[/C][C]-0.8233[/C][C]0.20634[/C][/ROW]
[ROW][C]44[/C][C]-0.098306[/C][C]-0.8956[/C][C]0.186526[/C][/ROW]
[ROW][C]45[/C][C]-0.043983[/C][C]-0.4007[/C][C]0.344834[/C][/ROW]
[ROW][C]46[/C][C]0.0629[/C][C]0.573[/C][C]0.28408[/C][/ROW]
[ROW][C]47[/C][C]0.035603[/C][C]0.3244[/C][C]0.373242[/C][/ROW]
[ROW][C]48[/C][C]-0.16612[/C][C]-1.5134[/C][C]0.066986[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=96942&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=96942&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
10.06850.62410.267148
20.2246952.04710.021907
3-0.163-1.4850.070666
4-0.17702-1.61270.055299
5-0.283002-2.57830.005847
6-0.123897-1.12880.131126
7-0.32095-2.9240.002227
8-0.268496-2.44610.008277
9-0.28256-2.57420.005911
10-0.109523-0.99780.160638
11-0.258605-2.3560.010415
120.6535325.9540
13-0.01913-0.17430.431033
14-0.163128-1.48620.070511
15-0.178805-1.6290.053552
160.0019810.01810.49282
17-0.073642-0.67090.252069
18-0.000527-0.00480.49809
190.1339891.22070.112829
200.030490.27780.390938
210.0775350.70640.240966
22-0.131397-1.19710.117341
23-0.064225-0.58510.280027
240.037340.34020.367291
25-0.054963-0.50070.308942
260.0011670.01060.495772
270.0074160.06760.473147
28-0.00652-0.05940.476389
290.0884250.80560.21139
30-0.081128-0.73910.230962
31-0.002831-0.02580.489744
320.0664360.60530.273327
33-0.021729-0.1980.421779
340.0078910.07190.471433
35-0.049132-0.44760.327799
36-0.087181-0.79430.214655
370.0458240.41750.338704
38-0.115147-1.0490.148602
390.0961980.87640.19167
400.0104780.09550.462089
41-0.042267-0.38510.350585
420.0493640.44970.32704
43-0.090372-0.82330.20634
44-0.098306-0.89560.186526
45-0.043983-0.40070.344834
460.06290.5730.28408
470.0356030.32440.373242
48-0.16612-1.51340.066986


Figures (Output of Computation)

Input Parameters & R Code

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')