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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 computationFri, 12 Dec 2008 06:39:25 -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/12/t122908923746adnt4w2xvxrhy.htm/, Retrieved Fri, 17 May 2024 18:18:14 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=32716, Retrieved Fri, 17 May 2024 18:18:14 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact204

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Standard Deviation-Mean Plot] [] [2008-12-12 12:13:32] [fad8a251ac01c156a8ae23a83577546f]
- RMPD    [(Partial) Autocorrelation Function] [Consumptiegoederen] [2008-12-12 13:39:25] [fa8b44cd657c07c6ee11bb2476ca3f8d] [Current]
-   P       [(Partial) Autocorrelation Function] [auto corr cons] [2008-12-19 10:50:23] [fad8a251ac01c156a8ae23a83577546f]
-   P       [(Partial) Autocorrelation Function] [auto corr cons] [2008-12-19 10:53:37] [fad8a251ac01c156a8ae23a83577546f]
-   PD        [(Partial) Autocorrelation Function] [autocorr cons] [2008-12-21 18:00:56] [fad8a251ac01c156a8ae23a83577546f]
-   P         [(Partial) Autocorrelation Function] [autocorr cons D] [2008-12-21 18:04:22] [fad8a251ac01c156a8ae23a83577546f]
- RMPD          [ARIMA Backward Selection] [Arima backw sel n...] [2008-12-22 10:23:57] [fad8a251ac01c156a8ae23a83577546f]
-    D            [ARIMA Backward Selection] [arima backw sel cons] [2008-12-22 10:27:01] [fad8a251ac01c156a8ae23a83577546f]
-    D            [ARIMA Backward Selection] [arima backw sel d...] [2008-12-22 10:29:20] [fad8a251ac01c156a8ae23a83577546f]
- RMPD              [ARIMA Forecasting] [] [2008-12-22 19:10:36] [b98453cac15ba1066b407e146608df68]
-                     [ARIMA Forecasting] [forecasting duur ...] [2008-12-22 19:52:23] [fad8a251ac01c156a8ae23a83577546f]
-   PD            [ARIMA Backward Selection] [arima backw sel inv] [2008-12-22 10:34:37] [fad8a251ac01c156a8ae23a83577546f]
-   P               [ARIMA Backward Selection] [foutmelding arima...] [2008-12-22 10:39:41] [fad8a251ac01c156a8ae23a83577546f]
-   PD                [ARIMA Backward Selection] [arima backw sel inv] [2008-12-22 12:07:05] [fad8a251ac01c156a8ae23a83577546f]
- RMPD            [ARIMA Forecasting] [forecast inv] [2008-12-22 14:22:41] [fad8a251ac01c156a8ae23a83577546f]
- RMP             [ARIMA Forecasting] [forecast niet-duu...] [2008-12-22 14:29:00] [fad8a251ac01c156a8ae23a83577546f]
- RMPD            [ARIMA Forecasting] [forecast consumpt...] [2008-12-22 14:31:21] [fad8a251ac01c156a8ae23a83577546f]
- RMPD            [ARIMA Forecasting] [forecasting duur ...] [2008-12-22 16:42:36] [fad8a251ac01c156a8ae23a83577546f]
-   P       [(Partial) Autocorrelation Function] [auto corr cons] [2008-12-19 10:57:15] [fad8a251ac01c156a8ae23a83577546f]
-   PD      [(Partial) Autocorrelation Function] [auto corr nd cons] [2008-12-19 11:02:29] [fad8a251ac01c156a8ae23a83577546f]
-   PD      [(Partial) Autocorrelation Function] [auto corr nd cons] [2008-12-19 11:05:07] [fad8a251ac01c156a8ae23a83577546f]
-   PD      [(Partial) Autocorrelation Function] [auto corr nd cons] [2008-12-19 11:09:15] [fad8a251ac01c156a8ae23a83577546f]
-   PD      [(Partial) Autocorrelation Function] [auto corr nd cons] [2008-12-19 11:09:15] [fad8a251ac01c156a8ae23a83577546f]
-   PD      [(Partial) Autocorrelation Function] [auto corr nd cons] [2008-12-19 11:09:15] [fad8a251ac01c156a8ae23a83577546f]
-   PD      [(Partial) Autocorrelation Function] [auto corr d cons] [2008-12-19 11:13:02] [fad8a251ac01c156a8ae23a83577546f]
-   PD      [(Partial) Autocorrelation Function] [auto corr d cons] [2008-12-19 11:14:51] [fad8a251ac01c156a8ae23a83577546f]
-   PD      [(Partial) Autocorrelation Function] [auto corr d cons] [2008-12-19 11:16:22] [fad8a251ac01c156a8ae23a83577546f]
-   PD      [(Partial) Autocorrelation Function] [auto corr inv] [2008-12-19 11:19:14] [fad8a251ac01c156a8ae23a83577546f]
-   P         [(Partial) Autocorrelation Function] [autocorr inv] [2008-12-21 16:50:49] [fad8a251ac01c156a8ae23a83577546f]
-   PD        [(Partial) Autocorrelation Function] [autocorr inv D] [2008-12-21 16:54:57] [fad8a251ac01c156a8ae23a83577546f]
-   PD        [(Partial) Autocorrelation Function] [autocorr duur cons] [2008-12-21 17:16:16] [fad8a251ac01c156a8ae23a83577546f]
-   PD        [(Partial) Autocorrelation Function] [autocorr duur cons D] [2008-12-21 17:18:56] [fad8a251ac01c156a8ae23a83577546f]
-   PD        [(Partial) Autocorrelation Function] [autocorr nt duur ...] [2008-12-21 17:22:22] [fad8a251ac01c156a8ae23a83577546f]
-   PD        [(Partial) Autocorrelation Function] [autocorr nt duur ...] [2008-12-21 17:24:42] [fad8a251ac01c156a8ae23a83577546f]
-   PD      [(Partial) Autocorrelation Function] [auto corr inv] [2008-12-19 11:21:38] [fad8a251ac01c156a8ae23a83577546f]
-   PD      [(Partial) Autocorrelation Function] [auto corr inv] [2008-12-19 11:23:02] [fad8a251ac01c156a8ae23a83577546f]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
99.3
98.7
107.9
101.0
97.6
103.0
94.1
94.1
115.1
116.5
103.4
112.5
95.6
97.5
119.3
100.9
97.7
115.3
92.8
99.2
118.7
110.1
110.3
112.9
102.2
99.4
116.1
103.8
101.8
113.7
89.7
99.5
122.9
108.6
114.4
110.5
104.1
103.6
121.6
101.1
116.0
120.1
96.0
105.0
124.7
123.9
123.6
114.8
108.8
106.1
123.2
106.2
115.2
120.6
109.5
114.4
121.4
129.5
124.3
112.6

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=32716&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=32716&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32716&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
10.2128441.64870.05222
20.0227650.17630.430312
30.3748652.90370.002577
4-0.056332-0.43630.332075
50.101030.78260.218478
60.5324474.12435.8e-05
70.0179420.1390.444967
8-0.042797-0.33150.370709
90.2876432.22810.014818
10-0.11123-0.86160.196172
110.1128530.87420.192759
120.6575755.09362e-06
130.0434460.33650.368822
14-0.045632-0.35350.36249
150.1522141.1790.121517
16-0.209755-1.62480.054729
17-0.005841-0.04520.48203
180.3054862.36630.010607
19-0.097428-0.75470.226698
20-0.089688-0.69470.244957
210.0993480.76950.222295
22-0.226187-1.7520.042438
230.0462460.35820.360717
240.3259142.52450.007124
25-0.073699-0.57090.285109
26-0.077352-0.59920.275659
27-0.00845-0.06550.474016
28-0.26415-2.04610.022568
29-0.066121-0.51220.305207
300.0979830.7590.225419
31-0.116233-0.90030.185771
32-0.094836-0.73460.232724
33-0.045593-0.35320.362602
34-0.209809-1.62520.054684
35-0.024036-0.18620.426466
360.127750.98950.163185

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.212844 & 1.6487 & 0.05222 \tabularnewline
2 & 0.022765 & 0.1763 & 0.430312 \tabularnewline
3 & 0.374865 & 2.9037 & 0.002577 \tabularnewline
4 & -0.056332 & -0.4363 & 0.332075 \tabularnewline
5 & 0.10103 & 0.7826 & 0.218478 \tabularnewline
6 & 0.532447 & 4.1243 & 5.8e-05 \tabularnewline
7 & 0.017942 & 0.139 & 0.444967 \tabularnewline
8 & -0.042797 & -0.3315 & 0.370709 \tabularnewline
9 & 0.287643 & 2.2281 & 0.014818 \tabularnewline
10 & -0.11123 & -0.8616 & 0.196172 \tabularnewline
11 & 0.112853 & 0.8742 & 0.192759 \tabularnewline
12 & 0.657575 & 5.0936 & 2e-06 \tabularnewline
13 & 0.043446 & 0.3365 & 0.368822 \tabularnewline
14 & -0.045632 & -0.3535 & 0.36249 \tabularnewline
15 & 0.152214 & 1.179 & 0.121517 \tabularnewline
16 & -0.209755 & -1.6248 & 0.054729 \tabularnewline
17 & -0.005841 & -0.0452 & 0.48203 \tabularnewline
18 & 0.305486 & 2.3663 & 0.010607 \tabularnewline
19 & -0.097428 & -0.7547 & 0.226698 \tabularnewline
20 & -0.089688 & -0.6947 & 0.244957 \tabularnewline
21 & 0.099348 & 0.7695 & 0.222295 \tabularnewline
22 & -0.226187 & -1.752 & 0.042438 \tabularnewline
23 & 0.046246 & 0.3582 & 0.360717 \tabularnewline
24 & 0.325914 & 2.5245 & 0.007124 \tabularnewline
25 & -0.073699 & -0.5709 & 0.285109 \tabularnewline
26 & -0.077352 & -0.5992 & 0.275659 \tabularnewline
27 & -0.00845 & -0.0655 & 0.474016 \tabularnewline
28 & -0.26415 & -2.0461 & 0.022568 \tabularnewline
29 & -0.066121 & -0.5122 & 0.305207 \tabularnewline
30 & 0.097983 & 0.759 & 0.225419 \tabularnewline
31 & -0.116233 & -0.9003 & 0.185771 \tabularnewline
32 & -0.094836 & -0.7346 & 0.232724 \tabularnewline
33 & -0.045593 & -0.3532 & 0.362602 \tabularnewline
34 & -0.209809 & -1.6252 & 0.054684 \tabularnewline
35 & -0.024036 & -0.1862 & 0.426466 \tabularnewline
36 & 0.12775 & 0.9895 & 0.163185 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32716&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]0.212844[/C][C]1.6487[/C][C]0.05222[/C][/ROW]
[ROW][C]2[/C][C]0.022765[/C][C]0.1763[/C][C]0.430312[/C][/ROW]
[ROW][C]3[/C][C]0.374865[/C][C]2.9037[/C][C]0.002577[/C][/ROW]
[ROW][C]4[/C][C]-0.056332[/C][C]-0.4363[/C][C]0.332075[/C][/ROW]
[ROW][C]5[/C][C]0.10103[/C][C]0.7826[/C][C]0.218478[/C][/ROW]
[ROW][C]6[/C][C]0.532447[/C][C]4.1243[/C][C]5.8e-05[/C][/ROW]
[ROW][C]7[/C][C]0.017942[/C][C]0.139[/C][C]0.444967[/C][/ROW]
[ROW][C]8[/C][C]-0.042797[/C][C]-0.3315[/C][C]0.370709[/C][/ROW]
[ROW][C]9[/C][C]0.287643[/C][C]2.2281[/C][C]0.014818[/C][/ROW]
[ROW][C]10[/C][C]-0.11123[/C][C]-0.8616[/C][C]0.196172[/C][/ROW]
[ROW][C]11[/C][C]0.112853[/C][C]0.8742[/C][C]0.192759[/C][/ROW]
[ROW][C]12[/C][C]0.657575[/C][C]5.0936[/C][C]2e-06[/C][/ROW]
[ROW][C]13[/C][C]0.043446[/C][C]0.3365[/C][C]0.368822[/C][/ROW]
[ROW][C]14[/C][C]-0.045632[/C][C]-0.3535[/C][C]0.36249[/C][/ROW]
[ROW][C]15[/C][C]0.152214[/C][C]1.179[/C][C]0.121517[/C][/ROW]
[ROW][C]16[/C][C]-0.209755[/C][C]-1.6248[/C][C]0.054729[/C][/ROW]
[ROW][C]17[/C][C]-0.005841[/C][C]-0.0452[/C][C]0.48203[/C][/ROW]
[ROW][C]18[/C][C]0.305486[/C][C]2.3663[/C][C]0.010607[/C][/ROW]
[ROW][C]19[/C][C]-0.097428[/C][C]-0.7547[/C][C]0.226698[/C][/ROW]
[ROW][C]20[/C][C]-0.089688[/C][C]-0.6947[/C][C]0.244957[/C][/ROW]
[ROW][C]21[/C][C]0.099348[/C][C]0.7695[/C][C]0.222295[/C][/ROW]
[ROW][C]22[/C][C]-0.226187[/C][C]-1.752[/C][C]0.042438[/C][/ROW]
[ROW][C]23[/C][C]0.046246[/C][C]0.3582[/C][C]0.360717[/C][/ROW]
[ROW][C]24[/C][C]0.325914[/C][C]2.5245[/C][C]0.007124[/C][/ROW]
[ROW][C]25[/C][C]-0.073699[/C][C]-0.5709[/C][C]0.285109[/C][/ROW]
[ROW][C]26[/C][C]-0.077352[/C][C]-0.5992[/C][C]0.275659[/C][/ROW]
[ROW][C]27[/C][C]-0.00845[/C][C]-0.0655[/C][C]0.474016[/C][/ROW]
[ROW][C]28[/C][C]-0.26415[/C][C]-2.0461[/C][C]0.022568[/C][/ROW]
[ROW][C]29[/C][C]-0.066121[/C][C]-0.5122[/C][C]0.305207[/C][/ROW]
[ROW][C]30[/C][C]0.097983[/C][C]0.759[/C][C]0.225419[/C][/ROW]
[ROW][C]31[/C][C]-0.116233[/C][C]-0.9003[/C][C]0.185771[/C][/ROW]
[ROW][C]32[/C][C]-0.094836[/C][C]-0.7346[/C][C]0.232724[/C][/ROW]
[ROW][C]33[/C][C]-0.045593[/C][C]-0.3532[/C][C]0.362602[/C][/ROW]
[ROW][C]34[/C][C]-0.209809[/C][C]-1.6252[/C][C]0.054684[/C][/ROW]
[ROW][C]35[/C][C]-0.024036[/C][C]-0.1862[/C][C]0.426466[/C][/ROW]
[ROW][C]36[/C][C]0.12775[/C][C]0.9895[/C][C]0.163185[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32716&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32716&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
10.2128441.64870.05222
20.0227650.17630.430312
30.3748652.90370.002577
4-0.056332-0.43630.332075
50.101030.78260.218478
60.5324474.12435.8e-05
70.0179420.1390.444967
8-0.042797-0.33150.370709
90.2876432.22810.014818
10-0.11123-0.86160.196172
110.1128530.87420.192759
120.6575755.09362e-06
130.0434460.33650.368822
14-0.045632-0.35350.36249
150.1522141.1790.121517
16-0.209755-1.62480.054729
17-0.005841-0.04520.48203
180.3054862.36630.010607
19-0.097428-0.75470.226698
20-0.089688-0.69470.244957
210.0993480.76950.222295
22-0.226187-1.7520.042438
230.0462460.35820.360717
240.3259142.52450.007124
25-0.073699-0.57090.285109
26-0.077352-0.59920.275659
27-0.00845-0.06550.474016
28-0.26415-2.04610.022568
29-0.066121-0.51220.305207
300.0979830.7590.225419
31-0.116233-0.90030.185771
32-0.094836-0.73460.232724
33-0.045593-0.35320.362602
34-0.209809-1.62520.054684
35-0.024036-0.18620.426466
360.127750.98950.163185






Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.2128441.64870.05222
2-0.023607-0.18290.427761
30.3929413.04370.001733
4-0.275929-2.13730.018328
50.295852.29160.012726
60.3442922.66690.004913
7-0.147512-1.14260.128867
8-0.089543-0.69360.245305
90.1037840.80390.212312
10-0.10076-0.78050.219088
110.2085581.61550.055726
120.4649093.60120.000322
13-0.180806-1.40050.083254
14-0.154618-1.19770.117879
15-0.294527-2.28140.013044
160.0229830.1780.429652
17-0.101608-0.78710.217174
18-0.077933-0.60370.274171
190.0879740.68140.249107
200.0418430.32410.373488
21-0.042901-0.33230.370407
22-0.027238-0.2110.416807
230.1020560.79050.216169
24-0.192672-1.49240.070413
250.0342250.26510.395919
26-0.036989-0.28650.387735
270.0892290.69120.246065
28-0.065197-0.5050.307701
29-0.044279-0.3430.366404
30-0.071257-0.5520.291515
310.097120.75230.22741
32-0.104791-0.81170.210084
33-0.002526-0.01960.492228
340.0830850.64360.261151
35-0.131422-1.0180.156385
360.0764940.59250.277863

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.212844 & 1.6487 & 0.05222 \tabularnewline
2 & -0.023607 & -0.1829 & 0.427761 \tabularnewline
3 & 0.392941 & 3.0437 & 0.001733 \tabularnewline
4 & -0.275929 & -2.1373 & 0.018328 \tabularnewline
5 & 0.29585 & 2.2916 & 0.012726 \tabularnewline
6 & 0.344292 & 2.6669 & 0.004913 \tabularnewline
7 & -0.147512 & -1.1426 & 0.128867 \tabularnewline
8 & -0.089543 & -0.6936 & 0.245305 \tabularnewline
9 & 0.103784 & 0.8039 & 0.212312 \tabularnewline
10 & -0.10076 & -0.7805 & 0.219088 \tabularnewline
11 & 0.208558 & 1.6155 & 0.055726 \tabularnewline
12 & 0.464909 & 3.6012 & 0.000322 \tabularnewline
13 & -0.180806 & -1.4005 & 0.083254 \tabularnewline
14 & -0.154618 & -1.1977 & 0.117879 \tabularnewline
15 & -0.294527 & -2.2814 & 0.013044 \tabularnewline
16 & 0.022983 & 0.178 & 0.429652 \tabularnewline
17 & -0.101608 & -0.7871 & 0.217174 \tabularnewline
18 & -0.077933 & -0.6037 & 0.274171 \tabularnewline
19 & 0.087974 & 0.6814 & 0.249107 \tabularnewline
20 & 0.041843 & 0.3241 & 0.373488 \tabularnewline
21 & -0.042901 & -0.3323 & 0.370407 \tabularnewline
22 & -0.027238 & -0.211 & 0.416807 \tabularnewline
23 & 0.102056 & 0.7905 & 0.216169 \tabularnewline
24 & -0.192672 & -1.4924 & 0.070413 \tabularnewline
25 & 0.034225 & 0.2651 & 0.395919 \tabularnewline
26 & -0.036989 & -0.2865 & 0.387735 \tabularnewline
27 & 0.089229 & 0.6912 & 0.246065 \tabularnewline
28 & -0.065197 & -0.505 & 0.307701 \tabularnewline
29 & -0.044279 & -0.343 & 0.366404 \tabularnewline
30 & -0.071257 & -0.552 & 0.291515 \tabularnewline
31 & 0.09712 & 0.7523 & 0.22741 \tabularnewline
32 & -0.104791 & -0.8117 & 0.210084 \tabularnewline
33 & -0.002526 & -0.0196 & 0.492228 \tabularnewline
34 & 0.083085 & 0.6436 & 0.261151 \tabularnewline
35 & -0.131422 & -1.018 & 0.156385 \tabularnewline
36 & 0.076494 & 0.5925 & 0.277863 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32716&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]0.212844[/C][C]1.6487[/C][C]0.05222[/C][/ROW]
[ROW][C]2[/C][C]-0.023607[/C][C]-0.1829[/C][C]0.427761[/C][/ROW]
[ROW][C]3[/C][C]0.392941[/C][C]3.0437[/C][C]0.001733[/C][/ROW]
[ROW][C]4[/C][C]-0.275929[/C][C]-2.1373[/C][C]0.018328[/C][/ROW]
[ROW][C]5[/C][C]0.29585[/C][C]2.2916[/C][C]0.012726[/C][/ROW]
[ROW][C]6[/C][C]0.344292[/C][C]2.6669[/C][C]0.004913[/C][/ROW]
[ROW][C]7[/C][C]-0.147512[/C][C]-1.1426[/C][C]0.128867[/C][/ROW]
[ROW][C]8[/C][C]-0.089543[/C][C]-0.6936[/C][C]0.245305[/C][/ROW]
[ROW][C]9[/C][C]0.103784[/C][C]0.8039[/C][C]0.212312[/C][/ROW]
[ROW][C]10[/C][C]-0.10076[/C][C]-0.7805[/C][C]0.219088[/C][/ROW]
[ROW][C]11[/C][C]0.208558[/C][C]1.6155[/C][C]0.055726[/C][/ROW]
[ROW][C]12[/C][C]0.464909[/C][C]3.6012[/C][C]0.000322[/C][/ROW]
[ROW][C]13[/C][C]-0.180806[/C][C]-1.4005[/C][C]0.083254[/C][/ROW]
[ROW][C]14[/C][C]-0.154618[/C][C]-1.1977[/C][C]0.117879[/C][/ROW]
[ROW][C]15[/C][C]-0.294527[/C][C]-2.2814[/C][C]0.013044[/C][/ROW]
[ROW][C]16[/C][C]0.022983[/C][C]0.178[/C][C]0.429652[/C][/ROW]
[ROW][C]17[/C][C]-0.101608[/C][C]-0.7871[/C][C]0.217174[/C][/ROW]
[ROW][C]18[/C][C]-0.077933[/C][C]-0.6037[/C][C]0.274171[/C][/ROW]
[ROW][C]19[/C][C]0.087974[/C][C]0.6814[/C][C]0.249107[/C][/ROW]
[ROW][C]20[/C][C]0.041843[/C][C]0.3241[/C][C]0.373488[/C][/ROW]
[ROW][C]21[/C][C]-0.042901[/C][C]-0.3323[/C][C]0.370407[/C][/ROW]
[ROW][C]22[/C][C]-0.027238[/C][C]-0.211[/C][C]0.416807[/C][/ROW]
[ROW][C]23[/C][C]0.102056[/C][C]0.7905[/C][C]0.216169[/C][/ROW]
[ROW][C]24[/C][C]-0.192672[/C][C]-1.4924[/C][C]0.070413[/C][/ROW]
[ROW][C]25[/C][C]0.034225[/C][C]0.2651[/C][C]0.395919[/C][/ROW]
[ROW][C]26[/C][C]-0.036989[/C][C]-0.2865[/C][C]0.387735[/C][/ROW]
[ROW][C]27[/C][C]0.089229[/C][C]0.6912[/C][C]0.246065[/C][/ROW]
[ROW][C]28[/C][C]-0.065197[/C][C]-0.505[/C][C]0.307701[/C][/ROW]
[ROW][C]29[/C][C]-0.044279[/C][C]-0.343[/C][C]0.366404[/C][/ROW]
[ROW][C]30[/C][C]-0.071257[/C][C]-0.552[/C][C]0.291515[/C][/ROW]
[ROW][C]31[/C][C]0.09712[/C][C]0.7523[/C][C]0.22741[/C][/ROW]
[ROW][C]32[/C][C]-0.104791[/C][C]-0.8117[/C][C]0.210084[/C][/ROW]
[ROW][C]33[/C][C]-0.002526[/C][C]-0.0196[/C][C]0.492228[/C][/ROW]
[ROW][C]34[/C][C]0.083085[/C][C]0.6436[/C][C]0.261151[/C][/ROW]
[ROW][C]35[/C][C]-0.131422[/C][C]-1.018[/C][C]0.156385[/C][/ROW]
[ROW][C]36[/C][C]0.076494[/C][C]0.5925[/C][C]0.277863[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32716&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32716&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
10.2128441.64870.05222
2-0.023607-0.18290.427761
30.3929413.04370.001733
4-0.275929-2.13730.018328
50.295852.29160.012726
60.3442922.66690.004913
7-0.147512-1.14260.128867
8-0.089543-0.69360.245305
90.1037840.80390.212312
10-0.10076-0.78050.219088
110.2085581.61550.055726
120.4649093.60120.000322
13-0.180806-1.40050.083254
14-0.154618-1.19770.117879
15-0.294527-2.28140.013044
160.0229830.1780.429652
17-0.101608-0.78710.217174
18-0.077933-0.60370.274171
190.0879740.68140.249107
200.0418430.32410.373488
21-0.042901-0.33230.370407
22-0.027238-0.2110.416807
230.1020560.79050.216169
24-0.192672-1.49240.070413
250.0342250.26510.395919
26-0.036989-0.28650.387735
270.0892290.69120.246065
28-0.065197-0.5050.307701
29-0.044279-0.3430.366404
30-0.071257-0.5520.291515
310.097120.75230.22741
32-0.104791-0.81170.210084
33-0.002526-0.01960.492228
340.0830850.64360.261151
35-0.131422-1.0180.156385
360.0764940.59250.277863


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 36 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 36 ; 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')