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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationTue, 16 Dec 2008 03:33:32 -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/2008/Dec/16/t1229423655p95ntqqkyc9v2zn.htm/, Retrieved Thu, 16 May 2024 02:33:35 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=33901, Retrieved Thu, 16 May 2024 02:33:35 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact233

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 suiker] [2008-12-16 10:33:32] [3fc0b50a130253095e963177b0139835] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
101.02
100.67
100.47
100.38
100.33
100.34
100.37
100.39
100.21
100.21
100.22
100.28
100.25
100.25
100.21
100.16
100.18
100.1
99.96
99.88
99.88
99.86
99.84
99.8
99.82
99.81
99.92
100.03
99.99
100.02
100.01
100.13
100.33
100.13
99.96
100.05
99.83
99.8
100.01
100.1
100.13
100.16
100.41
101.34
101.65
101.85
102.07
102.12
102.14
102.21
102.28
102.19
102.33
102.54
102.44
102.78
102.9
103.08
102.77
102.65
102.71
103.29
102.86
103.45
103.72
103.65
103.83
104.45
105.14
105.07
105.31
105.19
105.3
105.02
105.17
105.28
105.45
105.38
105.8
105.96
105.08
105.11
105.61
105.5

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=33901&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=33901&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33901&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
10.9730768.91840
20.9423818.63710
30.9162068.39720
40.8874278.13340
50.8463797.75720
60.8075557.40140
70.7720527.0760
80.7333196.7210
90.6947346.36730
100.6574586.02570
110.6221695.70230
120.5801415.31710
130.5386224.93652e-06
140.4959954.54599e-06
150.4538634.15973.8e-05
160.4077353.7370.000169
170.3698253.38950.000534
180.3376233.09440.001339
190.3029582.77670.003385
200.2680422.45660.008042
210.2357122.16030.016798
220.2063851.89150.030999
230.1705761.56340.060864
240.1392941.27670.102621
250.107390.98420.163911
260.0724240.66380.254327
270.0331240.30360.381096
28-0.00325-0.02980.488154
29-0.037878-0.34720.36467
30-0.070559-0.64670.259799
31-0.103325-0.9470.173181
32-0.133163-1.22050.112853
33-0.162364-1.48810.070236
34-0.193597-1.77430.039815
35-0.223704-2.05030.021727
36-0.253386-2.32230.011318
37-0.283992-2.60280.005464
38-0.312581-2.86490.002635
39-0.337902-3.09690.001329
40-0.362085-3.31860.00067
41-0.383077-3.5110.00036
42-0.393713-3.60840.000261
43-0.399034-3.65720.000222
44-0.401518-3.680.000205
45-0.403323-3.69650.000194
46-0.402475-3.68870.000199
47-0.398796-3.6550.000223
48-0.395797-3.62750.000245

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.973076 & 8.9184 & 0 \tabularnewline
2 & 0.942381 & 8.6371 & 0 \tabularnewline
3 & 0.916206 & 8.3972 & 0 \tabularnewline
4 & 0.887427 & 8.1334 & 0 \tabularnewline
5 & 0.846379 & 7.7572 & 0 \tabularnewline
6 & 0.807555 & 7.4014 & 0 \tabularnewline
7 & 0.772052 & 7.076 & 0 \tabularnewline
8 & 0.733319 & 6.721 & 0 \tabularnewline
9 & 0.694734 & 6.3673 & 0 \tabularnewline
10 & 0.657458 & 6.0257 & 0 \tabularnewline
11 & 0.622169 & 5.7023 & 0 \tabularnewline
12 & 0.580141 & 5.3171 & 0 \tabularnewline
13 & 0.538622 & 4.9365 & 2e-06 \tabularnewline
14 & 0.495995 & 4.5459 & 9e-06 \tabularnewline
15 & 0.453863 & 4.1597 & 3.8e-05 \tabularnewline
16 & 0.407735 & 3.737 & 0.000169 \tabularnewline
17 & 0.369825 & 3.3895 & 0.000534 \tabularnewline
18 & 0.337623 & 3.0944 & 0.001339 \tabularnewline
19 & 0.302958 & 2.7767 & 0.003385 \tabularnewline
20 & 0.268042 & 2.4566 & 0.008042 \tabularnewline
21 & 0.235712 & 2.1603 & 0.016798 \tabularnewline
22 & 0.206385 & 1.8915 & 0.030999 \tabularnewline
23 & 0.170576 & 1.5634 & 0.060864 \tabularnewline
24 & 0.139294 & 1.2767 & 0.102621 \tabularnewline
25 & 0.10739 & 0.9842 & 0.163911 \tabularnewline
26 & 0.072424 & 0.6638 & 0.254327 \tabularnewline
27 & 0.033124 & 0.3036 & 0.381096 \tabularnewline
28 & -0.00325 & -0.0298 & 0.488154 \tabularnewline
29 & -0.037878 & -0.3472 & 0.36467 \tabularnewline
30 & -0.070559 & -0.6467 & 0.259799 \tabularnewline
31 & -0.103325 & -0.947 & 0.173181 \tabularnewline
32 & -0.133163 & -1.2205 & 0.112853 \tabularnewline
33 & -0.162364 & -1.4881 & 0.070236 \tabularnewline
34 & -0.193597 & -1.7743 & 0.039815 \tabularnewline
35 & -0.223704 & -2.0503 & 0.021727 \tabularnewline
36 & -0.253386 & -2.3223 & 0.011318 \tabularnewline
37 & -0.283992 & -2.6028 & 0.005464 \tabularnewline
38 & -0.312581 & -2.8649 & 0.002635 \tabularnewline
39 & -0.337902 & -3.0969 & 0.001329 \tabularnewline
40 & -0.362085 & -3.3186 & 0.00067 \tabularnewline
41 & -0.383077 & -3.511 & 0.00036 \tabularnewline
42 & -0.393713 & -3.6084 & 0.000261 \tabularnewline
43 & -0.399034 & -3.6572 & 0.000222 \tabularnewline
44 & -0.401518 & -3.68 & 0.000205 \tabularnewline
45 & -0.403323 & -3.6965 & 0.000194 \tabularnewline
46 & -0.402475 & -3.6887 & 0.000199 \tabularnewline
47 & -0.398796 & -3.655 & 0.000223 \tabularnewline
48 & -0.395797 & -3.6275 & 0.000245 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33901&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]0.973076[/C][C]8.9184[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.942381[/C][C]8.6371[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.916206[/C][C]8.3972[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.887427[/C][C]8.1334[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.846379[/C][C]7.7572[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.807555[/C][C]7.4014[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.772052[/C][C]7.076[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.733319[/C][C]6.721[/C][C]0[/C][/ROW]
[ROW][C]9[/C][C]0.694734[/C][C]6.3673[/C][C]0[/C][/ROW]
[ROW][C]10[/C][C]0.657458[/C][C]6.0257[/C][C]0[/C][/ROW]
[ROW][C]11[/C][C]0.622169[/C][C]5.7023[/C][C]0[/C][/ROW]
[ROW][C]12[/C][C]0.580141[/C][C]5.3171[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.538622[/C][C]4.9365[/C][C]2e-06[/C][/ROW]
[ROW][C]14[/C][C]0.495995[/C][C]4.5459[/C][C]9e-06[/C][/ROW]
[ROW][C]15[/C][C]0.453863[/C][C]4.1597[/C][C]3.8e-05[/C][/ROW]
[ROW][C]16[/C][C]0.407735[/C][C]3.737[/C][C]0.000169[/C][/ROW]
[ROW][C]17[/C][C]0.369825[/C][C]3.3895[/C][C]0.000534[/C][/ROW]
[ROW][C]18[/C][C]0.337623[/C][C]3.0944[/C][C]0.001339[/C][/ROW]
[ROW][C]19[/C][C]0.302958[/C][C]2.7767[/C][C]0.003385[/C][/ROW]
[ROW][C]20[/C][C]0.268042[/C][C]2.4566[/C][C]0.008042[/C][/ROW]
[ROW][C]21[/C][C]0.235712[/C][C]2.1603[/C][C]0.016798[/C][/ROW]
[ROW][C]22[/C][C]0.206385[/C][C]1.8915[/C][C]0.030999[/C][/ROW]
[ROW][C]23[/C][C]0.170576[/C][C]1.5634[/C][C]0.060864[/C][/ROW]
[ROW][C]24[/C][C]0.139294[/C][C]1.2767[/C][C]0.102621[/C][/ROW]
[ROW][C]25[/C][C]0.10739[/C][C]0.9842[/C][C]0.163911[/C][/ROW]
[ROW][C]26[/C][C]0.072424[/C][C]0.6638[/C][C]0.254327[/C][/ROW]
[ROW][C]27[/C][C]0.033124[/C][C]0.3036[/C][C]0.381096[/C][/ROW]
[ROW][C]28[/C][C]-0.00325[/C][C]-0.0298[/C][C]0.488154[/C][/ROW]
[ROW][C]29[/C][C]-0.037878[/C][C]-0.3472[/C][C]0.36467[/C][/ROW]
[ROW][C]30[/C][C]-0.070559[/C][C]-0.6467[/C][C]0.259799[/C][/ROW]
[ROW][C]31[/C][C]-0.103325[/C][C]-0.947[/C][C]0.173181[/C][/ROW]
[ROW][C]32[/C][C]-0.133163[/C][C]-1.2205[/C][C]0.112853[/C][/ROW]
[ROW][C]33[/C][C]-0.162364[/C][C]-1.4881[/C][C]0.070236[/C][/ROW]
[ROW][C]34[/C][C]-0.193597[/C][C]-1.7743[/C][C]0.039815[/C][/ROW]
[ROW][C]35[/C][C]-0.223704[/C][C]-2.0503[/C][C]0.021727[/C][/ROW]
[ROW][C]36[/C][C]-0.253386[/C][C]-2.3223[/C][C]0.011318[/C][/ROW]
[ROW][C]37[/C][C]-0.283992[/C][C]-2.6028[/C][C]0.005464[/C][/ROW]
[ROW][C]38[/C][C]-0.312581[/C][C]-2.8649[/C][C]0.002635[/C][/ROW]
[ROW][C]39[/C][C]-0.337902[/C][C]-3.0969[/C][C]0.001329[/C][/ROW]
[ROW][C]40[/C][C]-0.362085[/C][C]-3.3186[/C][C]0.00067[/C][/ROW]
[ROW][C]41[/C][C]-0.383077[/C][C]-3.511[/C][C]0.00036[/C][/ROW]
[ROW][C]42[/C][C]-0.393713[/C][C]-3.6084[/C][C]0.000261[/C][/ROW]
[ROW][C]43[/C][C]-0.399034[/C][C]-3.6572[/C][C]0.000222[/C][/ROW]
[ROW][C]44[/C][C]-0.401518[/C][C]-3.68[/C][C]0.000205[/C][/ROW]
[ROW][C]45[/C][C]-0.403323[/C][C]-3.6965[/C][C]0.000194[/C][/ROW]
[ROW][C]46[/C][C]-0.402475[/C][C]-3.6887[/C][C]0.000199[/C][/ROW]
[ROW][C]47[/C][C]-0.398796[/C][C]-3.655[/C][C]0.000223[/C][/ROW]
[ROW][C]48[/C][C]-0.395797[/C][C]-3.6275[/C][C]0.000245[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33901&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33901&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
10.9730768.91840
20.9423818.63710
30.9162068.39720
40.8874278.13340
50.8463797.75720
60.8075557.40140
70.7720527.0760
80.7333196.7210
90.6947346.36730
100.6574586.02570
110.6221695.70230
120.5801415.31710
130.5386224.93652e-06
140.4959954.54599e-06
150.4538634.15973.8e-05
160.4077353.7370.000169
170.3698253.38950.000534
180.3376233.09440.001339
190.3029582.77670.003385
200.2680422.45660.008042
210.2357122.16030.016798
220.2063851.89150.030999
230.1705761.56340.060864
240.1392941.27670.102621
250.107390.98420.163911
260.0724240.66380.254327
270.0331240.30360.381096
28-0.00325-0.02980.488154
29-0.037878-0.34720.36467
30-0.070559-0.64670.259799
31-0.103325-0.9470.173181
32-0.133163-1.22050.112853
33-0.162364-1.48810.070236
34-0.193597-1.77430.039815
35-0.223704-2.05030.021727
36-0.253386-2.32230.011318
37-0.283992-2.60280.005464
38-0.312581-2.86490.002635
39-0.337902-3.09690.001329
40-0.362085-3.31860.00067
41-0.383077-3.5110.00036
42-0.393713-3.60840.000261
43-0.399034-3.65720.000222
44-0.401518-3.680.000205
45-0.403323-3.69650.000194
46-0.402475-3.68870.000199
47-0.398796-3.6550.000223
48-0.395797-3.62750.000245






Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9730768.91840
2-0.084627-0.77560.220076
30.0747590.68520.247559
4-0.076153-0.6980.243567
5-0.234131-2.14580.017385
60.0460250.42180.337115
70.0007660.0070.497207
8-0.063672-0.58360.28054
90.0439230.40260.344145
10-0.038065-0.34890.36403
110.0075190.06890.47261
12-0.13606-1.2470.10793
13-0.012473-0.11430.454631
14-0.075809-0.69480.24455
15-0.013842-0.12690.449675
16-0.064686-0.59290.277435
170.1377061.26210.105203
180.0598360.54840.292435
19-0.058815-0.5390.29564
20-0.006077-0.05570.477858
21-0.063034-0.57770.282501
22-0.011398-0.10450.458523
23-0.110441-1.01220.157173
240.069380.63590.263292
25-0.065641-0.60160.274528
26-0.079754-0.7310.23342
27-0.050958-0.4670.32084
28-0.054013-0.4950.310933
29-0.014867-0.13630.445972
300.0370430.33950.367539
31-0.042191-0.38670.349984
320.017410.15960.436804
33-0.052527-0.48140.315734
34-0.035263-0.32320.373677
35-0.043892-0.40230.344252
36-0.045665-0.41850.338315
37-0.065513-0.60040.274917
380.0706750.64770.259457
39-0.028355-0.25990.397798
400.0100130.09180.46355
410.0444070.4070.342524
420.1204091.10360.136466
430.0123510.11320.455073
440.0380180.34840.364189
45-0.028223-0.25870.398261
46-0.03647-0.33430.369511
470.0345060.31620.376299
48-0.035797-0.32810.371831

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.973076 & 8.9184 & 0 \tabularnewline
2 & -0.084627 & -0.7756 & 0.220076 \tabularnewline
3 & 0.074759 & 0.6852 & 0.247559 \tabularnewline
4 & -0.076153 & -0.698 & 0.243567 \tabularnewline
5 & -0.234131 & -2.1458 & 0.017385 \tabularnewline
6 & 0.046025 & 0.4218 & 0.337115 \tabularnewline
7 & 0.000766 & 0.007 & 0.497207 \tabularnewline
8 & -0.063672 & -0.5836 & 0.28054 \tabularnewline
9 & 0.043923 & 0.4026 & 0.344145 \tabularnewline
10 & -0.038065 & -0.3489 & 0.36403 \tabularnewline
11 & 0.007519 & 0.0689 & 0.47261 \tabularnewline
12 & -0.13606 & -1.247 & 0.10793 \tabularnewline
13 & -0.012473 & -0.1143 & 0.454631 \tabularnewline
14 & -0.075809 & -0.6948 & 0.24455 \tabularnewline
15 & -0.013842 & -0.1269 & 0.449675 \tabularnewline
16 & -0.064686 & -0.5929 & 0.277435 \tabularnewline
17 & 0.137706 & 1.2621 & 0.105203 \tabularnewline
18 & 0.059836 & 0.5484 & 0.292435 \tabularnewline
19 & -0.058815 & -0.539 & 0.29564 \tabularnewline
20 & -0.006077 & -0.0557 & 0.477858 \tabularnewline
21 & -0.063034 & -0.5777 & 0.282501 \tabularnewline
22 & -0.011398 & -0.1045 & 0.458523 \tabularnewline
23 & -0.110441 & -1.0122 & 0.157173 \tabularnewline
24 & 0.06938 & 0.6359 & 0.263292 \tabularnewline
25 & -0.065641 & -0.6016 & 0.274528 \tabularnewline
26 & -0.079754 & -0.731 & 0.23342 \tabularnewline
27 & -0.050958 & -0.467 & 0.32084 \tabularnewline
28 & -0.054013 & -0.495 & 0.310933 \tabularnewline
29 & -0.014867 & -0.1363 & 0.445972 \tabularnewline
30 & 0.037043 & 0.3395 & 0.367539 \tabularnewline
31 & -0.042191 & -0.3867 & 0.349984 \tabularnewline
32 & 0.01741 & 0.1596 & 0.436804 \tabularnewline
33 & -0.052527 & -0.4814 & 0.315734 \tabularnewline
34 & -0.035263 & -0.3232 & 0.373677 \tabularnewline
35 & -0.043892 & -0.4023 & 0.344252 \tabularnewline
36 & -0.045665 & -0.4185 & 0.338315 \tabularnewline
37 & -0.065513 & -0.6004 & 0.274917 \tabularnewline
38 & 0.070675 & 0.6477 & 0.259457 \tabularnewline
39 & -0.028355 & -0.2599 & 0.397798 \tabularnewline
40 & 0.010013 & 0.0918 & 0.46355 \tabularnewline
41 & 0.044407 & 0.407 & 0.342524 \tabularnewline
42 & 0.120409 & 1.1036 & 0.136466 \tabularnewline
43 & 0.012351 & 0.1132 & 0.455073 \tabularnewline
44 & 0.038018 & 0.3484 & 0.364189 \tabularnewline
45 & -0.028223 & -0.2587 & 0.398261 \tabularnewline
46 & -0.03647 & -0.3343 & 0.369511 \tabularnewline
47 & 0.034506 & 0.3162 & 0.376299 \tabularnewline
48 & -0.035797 & -0.3281 & 0.371831 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33901&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]0.973076[/C][C]8.9184[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.084627[/C][C]-0.7756[/C][C]0.220076[/C][/ROW]
[ROW][C]3[/C][C]0.074759[/C][C]0.6852[/C][C]0.247559[/C][/ROW]
[ROW][C]4[/C][C]-0.076153[/C][C]-0.698[/C][C]0.243567[/C][/ROW]
[ROW][C]5[/C][C]-0.234131[/C][C]-2.1458[/C][C]0.017385[/C][/ROW]
[ROW][C]6[/C][C]0.046025[/C][C]0.4218[/C][C]0.337115[/C][/ROW]
[ROW][C]7[/C][C]0.000766[/C][C]0.007[/C][C]0.497207[/C][/ROW]
[ROW][C]8[/C][C]-0.063672[/C][C]-0.5836[/C][C]0.28054[/C][/ROW]
[ROW][C]9[/C][C]0.043923[/C][C]0.4026[/C][C]0.344145[/C][/ROW]
[ROW][C]10[/C][C]-0.038065[/C][C]-0.3489[/C][C]0.36403[/C][/ROW]
[ROW][C]11[/C][C]0.007519[/C][C]0.0689[/C][C]0.47261[/C][/ROW]
[ROW][C]12[/C][C]-0.13606[/C][C]-1.247[/C][C]0.10793[/C][/ROW]
[ROW][C]13[/C][C]-0.012473[/C][C]-0.1143[/C][C]0.454631[/C][/ROW]
[ROW][C]14[/C][C]-0.075809[/C][C]-0.6948[/C][C]0.24455[/C][/ROW]
[ROW][C]15[/C][C]-0.013842[/C][C]-0.1269[/C][C]0.449675[/C][/ROW]
[ROW][C]16[/C][C]-0.064686[/C][C]-0.5929[/C][C]0.277435[/C][/ROW]
[ROW][C]17[/C][C]0.137706[/C][C]1.2621[/C][C]0.105203[/C][/ROW]
[ROW][C]18[/C][C]0.059836[/C][C]0.5484[/C][C]0.292435[/C][/ROW]
[ROW][C]19[/C][C]-0.058815[/C][C]-0.539[/C][C]0.29564[/C][/ROW]
[ROW][C]20[/C][C]-0.006077[/C][C]-0.0557[/C][C]0.477858[/C][/ROW]
[ROW][C]21[/C][C]-0.063034[/C][C]-0.5777[/C][C]0.282501[/C][/ROW]
[ROW][C]22[/C][C]-0.011398[/C][C]-0.1045[/C][C]0.458523[/C][/ROW]
[ROW][C]23[/C][C]-0.110441[/C][C]-1.0122[/C][C]0.157173[/C][/ROW]
[ROW][C]24[/C][C]0.06938[/C][C]0.6359[/C][C]0.263292[/C][/ROW]
[ROW][C]25[/C][C]-0.065641[/C][C]-0.6016[/C][C]0.274528[/C][/ROW]
[ROW][C]26[/C][C]-0.079754[/C][C]-0.731[/C][C]0.23342[/C][/ROW]
[ROW][C]27[/C][C]-0.050958[/C][C]-0.467[/C][C]0.32084[/C][/ROW]
[ROW][C]28[/C][C]-0.054013[/C][C]-0.495[/C][C]0.310933[/C][/ROW]
[ROW][C]29[/C][C]-0.014867[/C][C]-0.1363[/C][C]0.445972[/C][/ROW]
[ROW][C]30[/C][C]0.037043[/C][C]0.3395[/C][C]0.367539[/C][/ROW]
[ROW][C]31[/C][C]-0.042191[/C][C]-0.3867[/C][C]0.349984[/C][/ROW]
[ROW][C]32[/C][C]0.01741[/C][C]0.1596[/C][C]0.436804[/C][/ROW]
[ROW][C]33[/C][C]-0.052527[/C][C]-0.4814[/C][C]0.315734[/C][/ROW]
[ROW][C]34[/C][C]-0.035263[/C][C]-0.3232[/C][C]0.373677[/C][/ROW]
[ROW][C]35[/C][C]-0.043892[/C][C]-0.4023[/C][C]0.344252[/C][/ROW]
[ROW][C]36[/C][C]-0.045665[/C][C]-0.4185[/C][C]0.338315[/C][/ROW]
[ROW][C]37[/C][C]-0.065513[/C][C]-0.6004[/C][C]0.274917[/C][/ROW]
[ROW][C]38[/C][C]0.070675[/C][C]0.6477[/C][C]0.259457[/C][/ROW]
[ROW][C]39[/C][C]-0.028355[/C][C]-0.2599[/C][C]0.397798[/C][/ROW]
[ROW][C]40[/C][C]0.010013[/C][C]0.0918[/C][C]0.46355[/C][/ROW]
[ROW][C]41[/C][C]0.044407[/C][C]0.407[/C][C]0.342524[/C][/ROW]
[ROW][C]42[/C][C]0.120409[/C][C]1.1036[/C][C]0.136466[/C][/ROW]
[ROW][C]43[/C][C]0.012351[/C][C]0.1132[/C][C]0.455073[/C][/ROW]
[ROW][C]44[/C][C]0.038018[/C][C]0.3484[/C][C]0.364189[/C][/ROW]
[ROW][C]45[/C][C]-0.028223[/C][C]-0.2587[/C][C]0.398261[/C][/ROW]
[ROW][C]46[/C][C]-0.03647[/C][C]-0.3343[/C][C]0.369511[/C][/ROW]
[ROW][C]47[/C][C]0.034506[/C][C]0.3162[/C][C]0.376299[/C][/ROW]
[ROW][C]48[/C][C]-0.035797[/C][C]-0.3281[/C][C]0.371831[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33901&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33901&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
10.9730768.91840
2-0.084627-0.77560.220076
30.0747590.68520.247559
4-0.076153-0.6980.243567
5-0.234131-2.14580.017385
60.0460250.42180.337115
70.0007660.0070.497207
8-0.063672-0.58360.28054
90.0439230.40260.344145
10-0.038065-0.34890.36403
110.0075190.06890.47261
12-0.13606-1.2470.10793
13-0.012473-0.11430.454631
14-0.075809-0.69480.24455
15-0.013842-0.12690.449675
16-0.064686-0.59290.277435
170.1377061.26210.105203
180.0598360.54840.292435
19-0.058815-0.5390.29564
20-0.006077-0.05570.477858
21-0.063034-0.57770.282501
22-0.011398-0.10450.458523
23-0.110441-1.01220.157173
240.069380.63590.263292
25-0.065641-0.60160.274528
26-0.079754-0.7310.23342
27-0.050958-0.4670.32084
28-0.054013-0.4950.310933
29-0.014867-0.13630.445972
300.0370430.33950.367539
31-0.042191-0.38670.349984
320.017410.15960.436804
33-0.052527-0.48140.315734
34-0.035263-0.32320.373677
35-0.043892-0.40230.344252
36-0.045665-0.41850.338315
37-0.065513-0.60040.274917
380.0706750.64770.259457
39-0.028355-0.25990.397798
400.0100130.09180.46355
410.0444070.4070.342524
420.1204091.10360.136466
430.0123510.11320.455073
440.0380180.34840.364189
45-0.028223-0.25870.398261
46-0.03647-0.33430.369511
470.0345060.31620.376299
48-0.035797-0.32810.371831


Figures (Output of Computation)

Input Parameters & R Code

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')