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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 computationSun, 26 Apr 2009 08:38:43 -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/Apr/26/t12407567535cmyz3lv3o4649x.htm/, Retrieved Fri, 10 May 2024 07:55:38 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=39394, Retrieved Fri, 10 May 2024 07:55:38 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact258

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] [cijferreeks - ver...] [2009-04-26 14:38:43] [10386bb3a6f73220c058f8d03d2f31cb] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
53
59
73
72
62
58
55
56
52
52
43
37
43
55
68
68
64
65
57
59
54
57
43
42
52
51
58
60
61
58
62
61
49
51
47
40
45
50
58
52
50
50
46
46
38
37
34
29
30
40
46
46
47
47
43
46
37
41
39
36
48
55
56
53
52
53
52
56
51
48
42
42
44
50
60
66
58
59
55
57
57
56
53
51
45
58
74
65
65
55
52
59
54
57
45
40
47
47
60
58
63
64
64
63
55
54
44

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39394&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39394&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39394&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 time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.0884170.91030.182362
2-0.020256-0.20850.4176
3-0.160651-1.6540.050543
4-0.275099-2.83230.002766
50.0398550.41030.341195
6-0.141431-1.45610.074157
70.0548560.56480.28671
8-0.272966-2.81040.002948
9-0.283808-2.9220.002126
100.0478510.49270.311637
110.1735751.78710.038393
120.4818844.96131e-06
130.119731.23270.110207
140.0826690.85110.198309
15-0.109871-1.13120.130264
16-0.137601-1.41670.079753
170.0226420.23310.408063
18-0.157549-1.62210.05388
190.0043690.0450.482103
20-0.257139-2.64740.004674
21-0.124506-1.28190.101342
220.070170.72240.235807
230.0700660.72140.236134
240.3311963.40990.00046
250.1869221.92450.028488
260.0617990.63630.262989
27-0.137932-1.42010.079257
28-0.055005-0.56630.286191
29-0.061647-0.63470.263497
30-0.151539-1.56020.060848
310.0179070.18440.427042
32-0.194228-1.99970.024045
33-0.101685-1.04690.148761
340.022760.23430.40759
350.0407210.41930.33794
360.3665493.77390.000133
370.1150751.18480.11938
380.0339850.34990.363556
39-0.115924-1.19350.117667
40-0.079753-0.82110.206713
410.0153310.15780.437441
42-0.150342-1.54790.062318
43-0.007725-0.07950.46838
44-0.118149-1.21640.113263
45-0.105325-1.08440.140327
46-0.031473-0.3240.373276
470.1308411.34710.090412
480.2777552.85970.002554

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.088417 & 0.9103 & 0.182362 \tabularnewline
2 & -0.020256 & -0.2085 & 0.4176 \tabularnewline
3 & -0.160651 & -1.654 & 0.050543 \tabularnewline
4 & -0.275099 & -2.8323 & 0.002766 \tabularnewline
5 & 0.039855 & 0.4103 & 0.341195 \tabularnewline
6 & -0.141431 & -1.4561 & 0.074157 \tabularnewline
7 & 0.054856 & 0.5648 & 0.28671 \tabularnewline
8 & -0.272966 & -2.8104 & 0.002948 \tabularnewline
9 & -0.283808 & -2.922 & 0.002126 \tabularnewline
10 & 0.047851 & 0.4927 & 0.311637 \tabularnewline
11 & 0.173575 & 1.7871 & 0.038393 \tabularnewline
12 & 0.481884 & 4.9613 & 1e-06 \tabularnewline
13 & 0.11973 & 1.2327 & 0.110207 \tabularnewline
14 & 0.082669 & 0.8511 & 0.198309 \tabularnewline
15 & -0.109871 & -1.1312 & 0.130264 \tabularnewline
16 & -0.137601 & -1.4167 & 0.079753 \tabularnewline
17 & 0.022642 & 0.2331 & 0.408063 \tabularnewline
18 & -0.157549 & -1.6221 & 0.05388 \tabularnewline
19 & 0.004369 & 0.045 & 0.482103 \tabularnewline
20 & -0.257139 & -2.6474 & 0.004674 \tabularnewline
21 & -0.124506 & -1.2819 & 0.101342 \tabularnewline
22 & 0.07017 & 0.7224 & 0.235807 \tabularnewline
23 & 0.070066 & 0.7214 & 0.236134 \tabularnewline
24 & 0.331196 & 3.4099 & 0.00046 \tabularnewline
25 & 0.186922 & 1.9245 & 0.028488 \tabularnewline
26 & 0.061799 & 0.6363 & 0.262989 \tabularnewline
27 & -0.137932 & -1.4201 & 0.079257 \tabularnewline
28 & -0.055005 & -0.5663 & 0.286191 \tabularnewline
29 & -0.061647 & -0.6347 & 0.263497 \tabularnewline
30 & -0.151539 & -1.5602 & 0.060848 \tabularnewline
31 & 0.017907 & 0.1844 & 0.427042 \tabularnewline
32 & -0.194228 & -1.9997 & 0.024045 \tabularnewline
33 & -0.101685 & -1.0469 & 0.148761 \tabularnewline
34 & 0.02276 & 0.2343 & 0.40759 \tabularnewline
35 & 0.040721 & 0.4193 & 0.33794 \tabularnewline
36 & 0.366549 & 3.7739 & 0.000133 \tabularnewline
37 & 0.115075 & 1.1848 & 0.11938 \tabularnewline
38 & 0.033985 & 0.3499 & 0.363556 \tabularnewline
39 & -0.115924 & -1.1935 & 0.117667 \tabularnewline
40 & -0.079753 & -0.8211 & 0.206713 \tabularnewline
41 & 0.015331 & 0.1578 & 0.437441 \tabularnewline
42 & -0.150342 & -1.5479 & 0.062318 \tabularnewline
43 & -0.007725 & -0.0795 & 0.46838 \tabularnewline
44 & -0.118149 & -1.2164 & 0.113263 \tabularnewline
45 & -0.105325 & -1.0844 & 0.140327 \tabularnewline
46 & -0.031473 & -0.324 & 0.373276 \tabularnewline
47 & 0.130841 & 1.3471 & 0.090412 \tabularnewline
48 & 0.277755 & 2.8597 & 0.002554 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39394&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]0.088417[/C][C]0.9103[/C][C]0.182362[/C][/ROW]
[ROW][C]2[/C][C]-0.020256[/C][C]-0.2085[/C][C]0.4176[/C][/ROW]
[ROW][C]3[/C][C]-0.160651[/C][C]-1.654[/C][C]0.050543[/C][/ROW]
[ROW][C]4[/C][C]-0.275099[/C][C]-2.8323[/C][C]0.002766[/C][/ROW]
[ROW][C]5[/C][C]0.039855[/C][C]0.4103[/C][C]0.341195[/C][/ROW]
[ROW][C]6[/C][C]-0.141431[/C][C]-1.4561[/C][C]0.074157[/C][/ROW]
[ROW][C]7[/C][C]0.054856[/C][C]0.5648[/C][C]0.28671[/C][/ROW]
[ROW][C]8[/C][C]-0.272966[/C][C]-2.8104[/C][C]0.002948[/C][/ROW]
[ROW][C]9[/C][C]-0.283808[/C][C]-2.922[/C][C]0.002126[/C][/ROW]
[ROW][C]10[/C][C]0.047851[/C][C]0.4927[/C][C]0.311637[/C][/ROW]
[ROW][C]11[/C][C]0.173575[/C][C]1.7871[/C][C]0.038393[/C][/ROW]
[ROW][C]12[/C][C]0.481884[/C][C]4.9613[/C][C]1e-06[/C][/ROW]
[ROW][C]13[/C][C]0.11973[/C][C]1.2327[/C][C]0.110207[/C][/ROW]
[ROW][C]14[/C][C]0.082669[/C][C]0.8511[/C][C]0.198309[/C][/ROW]
[ROW][C]15[/C][C]-0.109871[/C][C]-1.1312[/C][C]0.130264[/C][/ROW]
[ROW][C]16[/C][C]-0.137601[/C][C]-1.4167[/C][C]0.079753[/C][/ROW]
[ROW][C]17[/C][C]0.022642[/C][C]0.2331[/C][C]0.408063[/C][/ROW]
[ROW][C]18[/C][C]-0.157549[/C][C]-1.6221[/C][C]0.05388[/C][/ROW]
[ROW][C]19[/C][C]0.004369[/C][C]0.045[/C][C]0.482103[/C][/ROW]
[ROW][C]20[/C][C]-0.257139[/C][C]-2.6474[/C][C]0.004674[/C][/ROW]
[ROW][C]21[/C][C]-0.124506[/C][C]-1.2819[/C][C]0.101342[/C][/ROW]
[ROW][C]22[/C][C]0.07017[/C][C]0.7224[/C][C]0.235807[/C][/ROW]
[ROW][C]23[/C][C]0.070066[/C][C]0.7214[/C][C]0.236134[/C][/ROW]
[ROW][C]24[/C][C]0.331196[/C][C]3.4099[/C][C]0.00046[/C][/ROW]
[ROW][C]25[/C][C]0.186922[/C][C]1.9245[/C][C]0.028488[/C][/ROW]
[ROW][C]26[/C][C]0.061799[/C][C]0.6363[/C][C]0.262989[/C][/ROW]
[ROW][C]27[/C][C]-0.137932[/C][C]-1.4201[/C][C]0.079257[/C][/ROW]
[ROW][C]28[/C][C]-0.055005[/C][C]-0.5663[/C][C]0.286191[/C][/ROW]
[ROW][C]29[/C][C]-0.061647[/C][C]-0.6347[/C][C]0.263497[/C][/ROW]
[ROW][C]30[/C][C]-0.151539[/C][C]-1.5602[/C][C]0.060848[/C][/ROW]
[ROW][C]31[/C][C]0.017907[/C][C]0.1844[/C][C]0.427042[/C][/ROW]
[ROW][C]32[/C][C]-0.194228[/C][C]-1.9997[/C][C]0.024045[/C][/ROW]
[ROW][C]33[/C][C]-0.101685[/C][C]-1.0469[/C][C]0.148761[/C][/ROW]
[ROW][C]34[/C][C]0.02276[/C][C]0.2343[/C][C]0.40759[/C][/ROW]
[ROW][C]35[/C][C]0.040721[/C][C]0.4193[/C][C]0.33794[/C][/ROW]
[ROW][C]36[/C][C]0.366549[/C][C]3.7739[/C][C]0.000133[/C][/ROW]
[ROW][C]37[/C][C]0.115075[/C][C]1.1848[/C][C]0.11938[/C][/ROW]
[ROW][C]38[/C][C]0.033985[/C][C]0.3499[/C][C]0.363556[/C][/ROW]
[ROW][C]39[/C][C]-0.115924[/C][C]-1.1935[/C][C]0.117667[/C][/ROW]
[ROW][C]40[/C][C]-0.079753[/C][C]-0.8211[/C][C]0.206713[/C][/ROW]
[ROW][C]41[/C][C]0.015331[/C][C]0.1578[/C][C]0.437441[/C][/ROW]
[ROW][C]42[/C][C]-0.150342[/C][C]-1.5479[/C][C]0.062318[/C][/ROW]
[ROW][C]43[/C][C]-0.007725[/C][C]-0.0795[/C][C]0.46838[/C][/ROW]
[ROW][C]44[/C][C]-0.118149[/C][C]-1.2164[/C][C]0.113263[/C][/ROW]
[ROW][C]45[/C][C]-0.105325[/C][C]-1.0844[/C][C]0.140327[/C][/ROW]
[ROW][C]46[/C][C]-0.031473[/C][C]-0.324[/C][C]0.373276[/C][/ROW]
[ROW][C]47[/C][C]0.130841[/C][C]1.3471[/C][C]0.090412[/C][/ROW]
[ROW][C]48[/C][C]0.277755[/C][C]2.8597[/C][C]0.002554[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39394&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39394&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
10.0884170.91030.182362
2-0.020256-0.20850.4176
3-0.160651-1.6540.050543
4-0.275099-2.83230.002766
50.0398550.41030.341195
6-0.141431-1.45610.074157
70.0548560.56480.28671
8-0.272966-2.81040.002948
9-0.283808-2.9220.002126
100.0478510.49270.311637
110.1735751.78710.038393
120.4818844.96131e-06
130.119731.23270.110207
140.0826690.85110.198309
15-0.109871-1.13120.130264
16-0.137601-1.41670.079753
170.0226420.23310.408063
18-0.157549-1.62210.05388
190.0043690.0450.482103
20-0.257139-2.64740.004674
21-0.124506-1.28190.101342
220.070170.72240.235807
230.0700660.72140.236134
240.3311963.40990.00046
250.1869221.92450.028488
260.0617990.63630.262989
27-0.137932-1.42010.079257
28-0.055005-0.56630.286191
29-0.061647-0.63470.263497
30-0.151539-1.56020.060848
310.0179070.18440.427042
32-0.194228-1.99970.024045
33-0.101685-1.04690.148761
340.022760.23430.40759
350.0407210.41930.33794
360.3665493.77390.000133
370.1150751.18480.11938
380.0339850.34990.363556
39-0.115924-1.19350.117667
40-0.079753-0.82110.206713
410.0153310.15780.437441
42-0.150342-1.54790.062318
43-0.007725-0.07950.46838
44-0.118149-1.21640.113263
45-0.105325-1.08440.140327
46-0.031473-0.3240.373276
470.1308411.34710.090412
480.2777552.85970.002554






Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.0884170.91030.182362
2-0.028295-0.29130.38569
3-0.157665-1.62330.053752
4-0.256068-2.63640.004819
50.0770590.79340.214666
6-0.200039-2.05950.020947
70.0022970.02370.490587
8-0.395433-4.07124.5e-05
9-0.343296-3.53440.000304
10-0.139369-1.43490.077131
110.0364370.37510.354154
120.2285882.35350.010222
13-0.011487-0.11830.45304
140.0989131.01840.15541
15-0.01555-0.16010.436554
160.0680270.70040.242613
17-0.046918-0.4830.315029
18-0.142043-1.46240.073292
190.0127550.13130.447884
20-0.052819-0.54380.293858
210.0599530.61730.269194
220.0335280.34520.365318
23-0.034476-0.3550.361664
240.0513840.5290.298946
250.2094542.15650.016654
26-0.023845-0.24550.403272
27-0.170577-1.75620.040971
280.04230.43550.332041
29-0.088083-0.90690.183265
30-0.056415-0.58080.281295
310.0380990.39230.347829
32-0.082478-0.84920.198852
33-0.053043-0.54610.293068
340.1100641.13320.129848
35-0.150797-1.55250.061756
360.1012171.04210.149871
37-0.004925-0.05070.479827
38-0.160595-1.65340.050601
39-0.131812-1.35710.088818
400.052930.5450.293466
41-0.040518-0.41720.338703
42-0.095471-0.98290.163939
43-0.00374-0.03850.48468
44-0.003376-0.03480.486167
450.077490.79780.213382
46-0.098084-1.00980.157437
47-0.084809-0.87320.192273
480.0137310.14140.443923

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.088417 & 0.9103 & 0.182362 \tabularnewline
2 & -0.028295 & -0.2913 & 0.38569 \tabularnewline
3 & -0.157665 & -1.6233 & 0.053752 \tabularnewline
4 & -0.256068 & -2.6364 & 0.004819 \tabularnewline
5 & 0.077059 & 0.7934 & 0.214666 \tabularnewline
6 & -0.200039 & -2.0595 & 0.020947 \tabularnewline
7 & 0.002297 & 0.0237 & 0.490587 \tabularnewline
8 & -0.395433 & -4.0712 & 4.5e-05 \tabularnewline
9 & -0.343296 & -3.5344 & 0.000304 \tabularnewline
10 & -0.139369 & -1.4349 & 0.077131 \tabularnewline
11 & 0.036437 & 0.3751 & 0.354154 \tabularnewline
12 & 0.228588 & 2.3535 & 0.010222 \tabularnewline
13 & -0.011487 & -0.1183 & 0.45304 \tabularnewline
14 & 0.098913 & 1.0184 & 0.15541 \tabularnewline
15 & -0.01555 & -0.1601 & 0.436554 \tabularnewline
16 & 0.068027 & 0.7004 & 0.242613 \tabularnewline
17 & -0.046918 & -0.483 & 0.315029 \tabularnewline
18 & -0.142043 & -1.4624 & 0.073292 \tabularnewline
19 & 0.012755 & 0.1313 & 0.447884 \tabularnewline
20 & -0.052819 & -0.5438 & 0.293858 \tabularnewline
21 & 0.059953 & 0.6173 & 0.269194 \tabularnewline
22 & 0.033528 & 0.3452 & 0.365318 \tabularnewline
23 & -0.034476 & -0.355 & 0.361664 \tabularnewline
24 & 0.051384 & 0.529 & 0.298946 \tabularnewline
25 & 0.209454 & 2.1565 & 0.016654 \tabularnewline
26 & -0.023845 & -0.2455 & 0.403272 \tabularnewline
27 & -0.170577 & -1.7562 & 0.040971 \tabularnewline
28 & 0.0423 & 0.4355 & 0.332041 \tabularnewline
29 & -0.088083 & -0.9069 & 0.183265 \tabularnewline
30 & -0.056415 & -0.5808 & 0.281295 \tabularnewline
31 & 0.038099 & 0.3923 & 0.347829 \tabularnewline
32 & -0.082478 & -0.8492 & 0.198852 \tabularnewline
33 & -0.053043 & -0.5461 & 0.293068 \tabularnewline
34 & 0.110064 & 1.1332 & 0.129848 \tabularnewline
35 & -0.150797 & -1.5525 & 0.061756 \tabularnewline
36 & 0.101217 & 1.0421 & 0.149871 \tabularnewline
37 & -0.004925 & -0.0507 & 0.479827 \tabularnewline
38 & -0.160595 & -1.6534 & 0.050601 \tabularnewline
39 & -0.131812 & -1.3571 & 0.088818 \tabularnewline
40 & 0.05293 & 0.545 & 0.293466 \tabularnewline
41 & -0.040518 & -0.4172 & 0.338703 \tabularnewline
42 & -0.095471 & -0.9829 & 0.163939 \tabularnewline
43 & -0.00374 & -0.0385 & 0.48468 \tabularnewline
44 & -0.003376 & -0.0348 & 0.486167 \tabularnewline
45 & 0.07749 & 0.7978 & 0.213382 \tabularnewline
46 & -0.098084 & -1.0098 & 0.157437 \tabularnewline
47 & -0.084809 & -0.8732 & 0.192273 \tabularnewline
48 & 0.013731 & 0.1414 & 0.443923 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39394&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]0.088417[/C][C]0.9103[/C][C]0.182362[/C][/ROW]
[ROW][C]2[/C][C]-0.028295[/C][C]-0.2913[/C][C]0.38569[/C][/ROW]
[ROW][C]3[/C][C]-0.157665[/C][C]-1.6233[/C][C]0.053752[/C][/ROW]
[ROW][C]4[/C][C]-0.256068[/C][C]-2.6364[/C][C]0.004819[/C][/ROW]
[ROW][C]5[/C][C]0.077059[/C][C]0.7934[/C][C]0.214666[/C][/ROW]
[ROW][C]6[/C][C]-0.200039[/C][C]-2.0595[/C][C]0.020947[/C][/ROW]
[ROW][C]7[/C][C]0.002297[/C][C]0.0237[/C][C]0.490587[/C][/ROW]
[ROW][C]8[/C][C]-0.395433[/C][C]-4.0712[/C][C]4.5e-05[/C][/ROW]
[ROW][C]9[/C][C]-0.343296[/C][C]-3.5344[/C][C]0.000304[/C][/ROW]
[ROW][C]10[/C][C]-0.139369[/C][C]-1.4349[/C][C]0.077131[/C][/ROW]
[ROW][C]11[/C][C]0.036437[/C][C]0.3751[/C][C]0.354154[/C][/ROW]
[ROW][C]12[/C][C]0.228588[/C][C]2.3535[/C][C]0.010222[/C][/ROW]
[ROW][C]13[/C][C]-0.011487[/C][C]-0.1183[/C][C]0.45304[/C][/ROW]
[ROW][C]14[/C][C]0.098913[/C][C]1.0184[/C][C]0.15541[/C][/ROW]
[ROW][C]15[/C][C]-0.01555[/C][C]-0.1601[/C][C]0.436554[/C][/ROW]
[ROW][C]16[/C][C]0.068027[/C][C]0.7004[/C][C]0.242613[/C][/ROW]
[ROW][C]17[/C][C]-0.046918[/C][C]-0.483[/C][C]0.315029[/C][/ROW]
[ROW][C]18[/C][C]-0.142043[/C][C]-1.4624[/C][C]0.073292[/C][/ROW]
[ROW][C]19[/C][C]0.012755[/C][C]0.1313[/C][C]0.447884[/C][/ROW]
[ROW][C]20[/C][C]-0.052819[/C][C]-0.5438[/C][C]0.293858[/C][/ROW]
[ROW][C]21[/C][C]0.059953[/C][C]0.6173[/C][C]0.269194[/C][/ROW]
[ROW][C]22[/C][C]0.033528[/C][C]0.3452[/C][C]0.365318[/C][/ROW]
[ROW][C]23[/C][C]-0.034476[/C][C]-0.355[/C][C]0.361664[/C][/ROW]
[ROW][C]24[/C][C]0.051384[/C][C]0.529[/C][C]0.298946[/C][/ROW]
[ROW][C]25[/C][C]0.209454[/C][C]2.1565[/C][C]0.016654[/C][/ROW]
[ROW][C]26[/C][C]-0.023845[/C][C]-0.2455[/C][C]0.403272[/C][/ROW]
[ROW][C]27[/C][C]-0.170577[/C][C]-1.7562[/C][C]0.040971[/C][/ROW]
[ROW][C]28[/C][C]0.0423[/C][C]0.4355[/C][C]0.332041[/C][/ROW]
[ROW][C]29[/C][C]-0.088083[/C][C]-0.9069[/C][C]0.183265[/C][/ROW]
[ROW][C]30[/C][C]-0.056415[/C][C]-0.5808[/C][C]0.281295[/C][/ROW]
[ROW][C]31[/C][C]0.038099[/C][C]0.3923[/C][C]0.347829[/C][/ROW]
[ROW][C]32[/C][C]-0.082478[/C][C]-0.8492[/C][C]0.198852[/C][/ROW]
[ROW][C]33[/C][C]-0.053043[/C][C]-0.5461[/C][C]0.293068[/C][/ROW]
[ROW][C]34[/C][C]0.110064[/C][C]1.1332[/C][C]0.129848[/C][/ROW]
[ROW][C]35[/C][C]-0.150797[/C][C]-1.5525[/C][C]0.061756[/C][/ROW]
[ROW][C]36[/C][C]0.101217[/C][C]1.0421[/C][C]0.149871[/C][/ROW]
[ROW][C]37[/C][C]-0.004925[/C][C]-0.0507[/C][C]0.479827[/C][/ROW]
[ROW][C]38[/C][C]-0.160595[/C][C]-1.6534[/C][C]0.050601[/C][/ROW]
[ROW][C]39[/C][C]-0.131812[/C][C]-1.3571[/C][C]0.088818[/C][/ROW]
[ROW][C]40[/C][C]0.05293[/C][C]0.545[/C][C]0.293466[/C][/ROW]
[ROW][C]41[/C][C]-0.040518[/C][C]-0.4172[/C][C]0.338703[/C][/ROW]
[ROW][C]42[/C][C]-0.095471[/C][C]-0.9829[/C][C]0.163939[/C][/ROW]
[ROW][C]43[/C][C]-0.00374[/C][C]-0.0385[/C][C]0.48468[/C][/ROW]
[ROW][C]44[/C][C]-0.003376[/C][C]-0.0348[/C][C]0.486167[/C][/ROW]
[ROW][C]45[/C][C]0.07749[/C][C]0.7978[/C][C]0.213382[/C][/ROW]
[ROW][C]46[/C][C]-0.098084[/C][C]-1.0098[/C][C]0.157437[/C][/ROW]
[ROW][C]47[/C][C]-0.084809[/C][C]-0.8732[/C][C]0.192273[/C][/ROW]
[ROW][C]48[/C][C]0.013731[/C][C]0.1414[/C][C]0.443923[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39394&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39394&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
10.0884170.91030.182362
2-0.028295-0.29130.38569
3-0.157665-1.62330.053752
4-0.256068-2.63640.004819
50.0770590.79340.214666
6-0.200039-2.05950.020947
70.0022970.02370.490587
8-0.395433-4.07124.5e-05
9-0.343296-3.53440.000304
10-0.139369-1.43490.077131
110.0364370.37510.354154
120.2285882.35350.010222
13-0.011487-0.11830.45304
140.0989131.01840.15541
15-0.01555-0.16010.436554
160.0680270.70040.242613
17-0.046918-0.4830.315029
18-0.142043-1.46240.073292
190.0127550.13130.447884
20-0.052819-0.54380.293858
210.0599530.61730.269194
220.0335280.34520.365318
23-0.034476-0.3550.361664
240.0513840.5290.298946
250.2094542.15650.016654
26-0.023845-0.24550.403272
27-0.170577-1.75620.040971
280.04230.43550.332041
29-0.088083-0.90690.183265
30-0.056415-0.58080.281295
310.0380990.39230.347829
32-0.082478-0.84920.198852
33-0.053043-0.54610.293068
340.1100641.13320.129848
35-0.150797-1.55250.061756
360.1012171.04210.149871
37-0.004925-0.05070.479827
38-0.160595-1.65340.050601
39-0.131812-1.35710.088818
400.052930.5450.293466
41-0.040518-0.41720.338703
42-0.095471-0.98290.163939
43-0.00374-0.03850.48468
44-0.003376-0.03480.486167
450.077490.79780.213382
46-0.098084-1.00980.157437
47-0.084809-0.87320.192273
480.0137310.14140.443923


Figures (Output of Computation)

Input Parameters & R Code

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