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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, 27 Nov 2009 02:58:50 -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/2009/Nov/27/t1259316027g4550rftds8zg8o.htm/, Retrieved Sun, 28 Apr 2024 21:03:19 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=60517, Retrieved Sun, 28 Apr 2024 21:03:19 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact213

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Explorative Data Analysis] [Run Sequence gebo...] [2008-12-12 13:32:37] [76963dc1903f0f612b6153510a3818cf]
- R  D  [Univariate Explorative Data Analysis] [Run Sequence gebo...] [2008-12-17 12:14:40] [76963dc1903f0f612b6153510a3818cf]
-         [Univariate Explorative Data Analysis] [Run Sequence Plot...] [2008-12-22 18:19:51] [1ce0d16c8f4225c977b42c8fa93bc163]
- RMP       [(Partial) Autocorrelation Function] [Identifying Integ...] [2009-11-22 12:26:39] [b98453cac15ba1066b407e146608df68]
-   PD          [(Partial) Autocorrelation Function] [workshop 8 bereke...] [2009-11-27 09:58:50] [78d370e6d5f4594e9982a5085e7604c6] [Current]
-    D            [(Partial) Autocorrelation Function] [workshop 8 ACV] [2009-11-27 14:29:15] [af8eb90b4bf1bcfcc4325c143dbee260]
-   P             [(Partial) Autocorrelation Function] [] [2009-11-27 17:12:36] [023d83ebdf42a2acf423907b4076e8a1]
-   P             [(Partial) Autocorrelation Function] [paper d=1, D=0] [2009-12-04 14:58:56] [eaf42bcf5162b5692bb3c7f9d4636222]
-    D              [(Partial) Autocorrelation Function] [paper d=1 inflatie] [2009-12-13 09:25:44] [eaf42bcf5162b5692bb3c7f9d4636222]
-    D            [(Partial) Autocorrelation Function] [shwws9_vr1] [2009-12-11 15:41:34] [2b2cfeea2f5ac2a1bcb842baaf1415ef]
-                 [(Partial) Autocorrelation Function] [] [2009-12-12 16:55:49] [74be16979710d4c4e7c6647856088456]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
4716.99
4926.65
4920.10
5170.09
5246.24
5283.61
4979.05
4825.20
4695.12
4711.54
4727.22
4384.96
4378.75
4472.93
4564.07
4310.54
4171.38
4049.38
3591.37
3720.46
4107.23
4101.71
4162.34
4136.22
4125.88
4031.48
3761.36
3408.56
3228.47
3090.45
2741.14
2980.44
3104.33
3181.57
2863.86
2898.01
3112.33
3254.33
3513.47
3587.61
3727.45
3793.34
3817.58
3845.13
3931.86
4197.52
4307.13
4229.43
4362.28
4217.34
4361.28
4327.74
4417.65
4557.68
4650.35
4967.18
5123.42
5290.85
5535.66
5514.06
5493.88
5694.83
5850.41
6116.64
6175.00
6513.58
6383.78
6673.66
6936.61
7300.68
7392.93
7497.31
7584.71
7160.79
7196.19
7245.63
7347.51
7425.75
7778.51
7822.33
8181.22
8371.47
8347.71
8672.11
8802.79
9138.46
9123.29
9023.21
8850.41
8864.58
9163.74
8516.66
8553.44
7555.20
7851.22
7442.00
7992.53
8264.04
7517.39
7200.40
7193.69
6193.58
5104.21
4800.46
4461.61
4398.59
4243.63
4293.82

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=60517&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=60517&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=60517&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
10.2177442.25240.01317
20.2963013.0650.001378
30.1468031.51850.065914
40.1562541.61630.054487
50.0446430.46180.322585
60.0444120.45940.32344
70.1541291.59430.056907
80.029520.30540.380342
90.1701071.75960.040667
100.0796630.8240.205874
110.1778941.84020.034259
120.0437040.45210.326062
130.0592260.61260.270709
140.0206810.21390.415508
150.0105390.1090.456698
160.0581470.60150.274396
17-0.011111-0.11490.454356
18-0.004181-0.04320.482792
190.0105690.10930.456572
200.0164350.170.432664
21-0.09274-0.95930.169784
22-0.015494-0.16030.436486
23-0.079013-0.81730.207781
24-0.105689-1.09330.138369
250.0136070.14080.444164
26-0.071519-0.73980.230522
27-0.001711-0.01770.492955
28-0.017764-0.18380.427276
290.0137540.14230.443565
30-0.098189-1.01570.156037
31-0.045597-0.47170.319066
32-0.046474-0.48070.315845
33-0.094776-0.98040.164558
34-0.116067-1.20060.116279
35-0.100514-1.03970.150407
36-0.085926-0.88880.188046

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.217744 & 2.2524 & 0.01317 \tabularnewline
2 & 0.296301 & 3.065 & 0.001378 \tabularnewline
3 & 0.146803 & 1.5185 & 0.065914 \tabularnewline
4 & 0.156254 & 1.6163 & 0.054487 \tabularnewline
5 & 0.044643 & 0.4618 & 0.322585 \tabularnewline
6 & 0.044412 & 0.4594 & 0.32344 \tabularnewline
7 & 0.154129 & 1.5943 & 0.056907 \tabularnewline
8 & 0.02952 & 0.3054 & 0.380342 \tabularnewline
9 & 0.170107 & 1.7596 & 0.040667 \tabularnewline
10 & 0.079663 & 0.824 & 0.205874 \tabularnewline
11 & 0.177894 & 1.8402 & 0.034259 \tabularnewline
12 & 0.043704 & 0.4521 & 0.326062 \tabularnewline
13 & 0.059226 & 0.6126 & 0.270709 \tabularnewline
14 & 0.020681 & 0.2139 & 0.415508 \tabularnewline
15 & 0.010539 & 0.109 & 0.456698 \tabularnewline
16 & 0.058147 & 0.6015 & 0.274396 \tabularnewline
17 & -0.011111 & -0.1149 & 0.454356 \tabularnewline
18 & -0.004181 & -0.0432 & 0.482792 \tabularnewline
19 & 0.010569 & 0.1093 & 0.456572 \tabularnewline
20 & 0.016435 & 0.17 & 0.432664 \tabularnewline
21 & -0.09274 & -0.9593 & 0.169784 \tabularnewline
22 & -0.015494 & -0.1603 & 0.436486 \tabularnewline
23 & -0.079013 & -0.8173 & 0.207781 \tabularnewline
24 & -0.105689 & -1.0933 & 0.138369 \tabularnewline
25 & 0.013607 & 0.1408 & 0.444164 \tabularnewline
26 & -0.071519 & -0.7398 & 0.230522 \tabularnewline
27 & -0.001711 & -0.0177 & 0.492955 \tabularnewline
28 & -0.017764 & -0.1838 & 0.427276 \tabularnewline
29 & 0.013754 & 0.1423 & 0.443565 \tabularnewline
30 & -0.098189 & -1.0157 & 0.156037 \tabularnewline
31 & -0.045597 & -0.4717 & 0.319066 \tabularnewline
32 & -0.046474 & -0.4807 & 0.315845 \tabularnewline
33 & -0.094776 & -0.9804 & 0.164558 \tabularnewline
34 & -0.116067 & -1.2006 & 0.116279 \tabularnewline
35 & -0.100514 & -1.0397 & 0.150407 \tabularnewline
36 & -0.085926 & -0.8888 & 0.188046 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=60517&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]0.217744[/C][C]2.2524[/C][C]0.01317[/C][/ROW]
[ROW][C]2[/C][C]0.296301[/C][C]3.065[/C][C]0.001378[/C][/ROW]
[ROW][C]3[/C][C]0.146803[/C][C]1.5185[/C][C]0.065914[/C][/ROW]
[ROW][C]4[/C][C]0.156254[/C][C]1.6163[/C][C]0.054487[/C][/ROW]
[ROW][C]5[/C][C]0.044643[/C][C]0.4618[/C][C]0.322585[/C][/ROW]
[ROW][C]6[/C][C]0.044412[/C][C]0.4594[/C][C]0.32344[/C][/ROW]
[ROW][C]7[/C][C]0.154129[/C][C]1.5943[/C][C]0.056907[/C][/ROW]
[ROW][C]8[/C][C]0.02952[/C][C]0.3054[/C][C]0.380342[/C][/ROW]
[ROW][C]9[/C][C]0.170107[/C][C]1.7596[/C][C]0.040667[/C][/ROW]
[ROW][C]10[/C][C]0.079663[/C][C]0.824[/C][C]0.205874[/C][/ROW]
[ROW][C]11[/C][C]0.177894[/C][C]1.8402[/C][C]0.034259[/C][/ROW]
[ROW][C]12[/C][C]0.043704[/C][C]0.4521[/C][C]0.326062[/C][/ROW]
[ROW][C]13[/C][C]0.059226[/C][C]0.6126[/C][C]0.270709[/C][/ROW]
[ROW][C]14[/C][C]0.020681[/C][C]0.2139[/C][C]0.415508[/C][/ROW]
[ROW][C]15[/C][C]0.010539[/C][C]0.109[/C][C]0.456698[/C][/ROW]
[ROW][C]16[/C][C]0.058147[/C][C]0.6015[/C][C]0.274396[/C][/ROW]
[ROW][C]17[/C][C]-0.011111[/C][C]-0.1149[/C][C]0.454356[/C][/ROW]
[ROW][C]18[/C][C]-0.004181[/C][C]-0.0432[/C][C]0.482792[/C][/ROW]
[ROW][C]19[/C][C]0.010569[/C][C]0.1093[/C][C]0.456572[/C][/ROW]
[ROW][C]20[/C][C]0.016435[/C][C]0.17[/C][C]0.432664[/C][/ROW]
[ROW][C]21[/C][C]-0.09274[/C][C]-0.9593[/C][C]0.169784[/C][/ROW]
[ROW][C]22[/C][C]-0.015494[/C][C]-0.1603[/C][C]0.436486[/C][/ROW]
[ROW][C]23[/C][C]-0.079013[/C][C]-0.8173[/C][C]0.207781[/C][/ROW]
[ROW][C]24[/C][C]-0.105689[/C][C]-1.0933[/C][C]0.138369[/C][/ROW]
[ROW][C]25[/C][C]0.013607[/C][C]0.1408[/C][C]0.444164[/C][/ROW]
[ROW][C]26[/C][C]-0.071519[/C][C]-0.7398[/C][C]0.230522[/C][/ROW]
[ROW][C]27[/C][C]-0.001711[/C][C]-0.0177[/C][C]0.492955[/C][/ROW]
[ROW][C]28[/C][C]-0.017764[/C][C]-0.1838[/C][C]0.427276[/C][/ROW]
[ROW][C]29[/C][C]0.013754[/C][C]0.1423[/C][C]0.443565[/C][/ROW]
[ROW][C]30[/C][C]-0.098189[/C][C]-1.0157[/C][C]0.156037[/C][/ROW]
[ROW][C]31[/C][C]-0.045597[/C][C]-0.4717[/C][C]0.319066[/C][/ROW]
[ROW][C]32[/C][C]-0.046474[/C][C]-0.4807[/C][C]0.315845[/C][/ROW]
[ROW][C]33[/C][C]-0.094776[/C][C]-0.9804[/C][C]0.164558[/C][/ROW]
[ROW][C]34[/C][C]-0.116067[/C][C]-1.2006[/C][C]0.116279[/C][/ROW]
[ROW][C]35[/C][C]-0.100514[/C][C]-1.0397[/C][C]0.150407[/C][/ROW]
[ROW][C]36[/C][C]-0.085926[/C][C]-0.8888[/C][C]0.188046[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=60517&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=60517&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
10.2177442.25240.01317
20.2963013.0650.001378
30.1468031.51850.065914
40.1562541.61630.054487
50.0446430.46180.322585
60.0444120.45940.32344
70.1541291.59430.056907
80.029520.30540.380342
90.1701071.75960.040667
100.0796630.8240.205874
110.1778941.84020.034259
120.0437040.45210.326062
130.0592260.61260.270709
140.0206810.21390.415508
150.0105390.1090.456698
160.0581470.60150.274396
17-0.011111-0.11490.454356
18-0.004181-0.04320.482792
190.0105690.10930.456572
200.0164350.170.432664
21-0.09274-0.95930.169784
22-0.015494-0.16030.436486
23-0.079013-0.81730.207781
24-0.105689-1.09330.138369
250.0136070.14080.444164
26-0.071519-0.73980.230522
27-0.001711-0.01770.492955
28-0.017764-0.18380.427276
290.0137540.14230.443565
30-0.098189-1.01570.156037
31-0.045597-0.47170.319066
32-0.046474-0.48070.315845
33-0.094776-0.98040.164558
34-0.116067-1.20060.116279
35-0.100514-1.03970.150407
36-0.085926-0.88880.188046






Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.2177442.25240.01317
20.2612772.70270.004001
30.0476030.49240.311719
40.055280.57180.284321
5-0.041934-0.43380.332665
6-0.018399-0.19030.424707
70.1530741.58340.05814
8-0.029671-0.30690.379752
90.1157961.19780.116821
100.0189410.19590.422518
110.0824770.85310.197741
12-0.032687-0.33810.367968
13-0.037515-0.38810.349372
14-0.021859-0.22610.410773
15-0.005663-0.05860.4767
160.0460150.4760.317528
17-0.028005-0.28970.386309
18-0.07136-0.73820.231019
190.0263280.27230.392943
20-0.01146-0.11850.452929
21-0.109404-1.13170.130148
220.003540.03660.485428
23-0.054703-0.56590.286338
24-0.068776-0.71140.239184
250.1083231.12050.132505
26-0.060466-0.62550.2665
270.0118130.12220.451489
280.0449540.4650.321434
29-0.004978-0.05150.479514
30-0.077653-0.80330.211805
31-0.007185-0.07430.470448
320.0146220.15120.440033
33-0.03204-0.33140.370488
34-0.074044-0.76590.222705
35-0.029063-0.30060.38214
36-0.052658-0.54470.293545

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.217744 & 2.2524 & 0.01317 \tabularnewline
2 & 0.261277 & 2.7027 & 0.004001 \tabularnewline
3 & 0.047603 & 0.4924 & 0.311719 \tabularnewline
4 & 0.05528 & 0.5718 & 0.284321 \tabularnewline
5 & -0.041934 & -0.4338 & 0.332665 \tabularnewline
6 & -0.018399 & -0.1903 & 0.424707 \tabularnewline
7 & 0.153074 & 1.5834 & 0.05814 \tabularnewline
8 & -0.029671 & -0.3069 & 0.379752 \tabularnewline
9 & 0.115796 & 1.1978 & 0.116821 \tabularnewline
10 & 0.018941 & 0.1959 & 0.422518 \tabularnewline
11 & 0.082477 & 0.8531 & 0.197741 \tabularnewline
12 & -0.032687 & -0.3381 & 0.367968 \tabularnewline
13 & -0.037515 & -0.3881 & 0.349372 \tabularnewline
14 & -0.021859 & -0.2261 & 0.410773 \tabularnewline
15 & -0.005663 & -0.0586 & 0.4767 \tabularnewline
16 & 0.046015 & 0.476 & 0.317528 \tabularnewline
17 & -0.028005 & -0.2897 & 0.386309 \tabularnewline
18 & -0.07136 & -0.7382 & 0.231019 \tabularnewline
19 & 0.026328 & 0.2723 & 0.392943 \tabularnewline
20 & -0.01146 & -0.1185 & 0.452929 \tabularnewline
21 & -0.109404 & -1.1317 & 0.130148 \tabularnewline
22 & 0.00354 & 0.0366 & 0.485428 \tabularnewline
23 & -0.054703 & -0.5659 & 0.286338 \tabularnewline
24 & -0.068776 & -0.7114 & 0.239184 \tabularnewline
25 & 0.108323 & 1.1205 & 0.132505 \tabularnewline
26 & -0.060466 & -0.6255 & 0.2665 \tabularnewline
27 & 0.011813 & 0.1222 & 0.451489 \tabularnewline
28 & 0.044954 & 0.465 & 0.321434 \tabularnewline
29 & -0.004978 & -0.0515 & 0.479514 \tabularnewline
30 & -0.077653 & -0.8033 & 0.211805 \tabularnewline
31 & -0.007185 & -0.0743 & 0.470448 \tabularnewline
32 & 0.014622 & 0.1512 & 0.440033 \tabularnewline
33 & -0.03204 & -0.3314 & 0.370488 \tabularnewline
34 & -0.074044 & -0.7659 & 0.222705 \tabularnewline
35 & -0.029063 & -0.3006 & 0.38214 \tabularnewline
36 & -0.052658 & -0.5447 & 0.293545 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=60517&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]0.217744[/C][C]2.2524[/C][C]0.01317[/C][/ROW]
[ROW][C]2[/C][C]0.261277[/C][C]2.7027[/C][C]0.004001[/C][/ROW]
[ROW][C]3[/C][C]0.047603[/C][C]0.4924[/C][C]0.311719[/C][/ROW]
[ROW][C]4[/C][C]0.05528[/C][C]0.5718[/C][C]0.284321[/C][/ROW]
[ROW][C]5[/C][C]-0.041934[/C][C]-0.4338[/C][C]0.332665[/C][/ROW]
[ROW][C]6[/C][C]-0.018399[/C][C]-0.1903[/C][C]0.424707[/C][/ROW]
[ROW][C]7[/C][C]0.153074[/C][C]1.5834[/C][C]0.05814[/C][/ROW]
[ROW][C]8[/C][C]-0.029671[/C][C]-0.3069[/C][C]0.379752[/C][/ROW]
[ROW][C]9[/C][C]0.115796[/C][C]1.1978[/C][C]0.116821[/C][/ROW]
[ROW][C]10[/C][C]0.018941[/C][C]0.1959[/C][C]0.422518[/C][/ROW]
[ROW][C]11[/C][C]0.082477[/C][C]0.8531[/C][C]0.197741[/C][/ROW]
[ROW][C]12[/C][C]-0.032687[/C][C]-0.3381[/C][C]0.367968[/C][/ROW]
[ROW][C]13[/C][C]-0.037515[/C][C]-0.3881[/C][C]0.349372[/C][/ROW]
[ROW][C]14[/C][C]-0.021859[/C][C]-0.2261[/C][C]0.410773[/C][/ROW]
[ROW][C]15[/C][C]-0.005663[/C][C]-0.0586[/C][C]0.4767[/C][/ROW]
[ROW][C]16[/C][C]0.046015[/C][C]0.476[/C][C]0.317528[/C][/ROW]
[ROW][C]17[/C][C]-0.028005[/C][C]-0.2897[/C][C]0.386309[/C][/ROW]
[ROW][C]18[/C][C]-0.07136[/C][C]-0.7382[/C][C]0.231019[/C][/ROW]
[ROW][C]19[/C][C]0.026328[/C][C]0.2723[/C][C]0.392943[/C][/ROW]
[ROW][C]20[/C][C]-0.01146[/C][C]-0.1185[/C][C]0.452929[/C][/ROW]
[ROW][C]21[/C][C]-0.109404[/C][C]-1.1317[/C][C]0.130148[/C][/ROW]
[ROW][C]22[/C][C]0.00354[/C][C]0.0366[/C][C]0.485428[/C][/ROW]
[ROW][C]23[/C][C]-0.054703[/C][C]-0.5659[/C][C]0.286338[/C][/ROW]
[ROW][C]24[/C][C]-0.068776[/C][C]-0.7114[/C][C]0.239184[/C][/ROW]
[ROW][C]25[/C][C]0.108323[/C][C]1.1205[/C][C]0.132505[/C][/ROW]
[ROW][C]26[/C][C]-0.060466[/C][C]-0.6255[/C][C]0.2665[/C][/ROW]
[ROW][C]27[/C][C]0.011813[/C][C]0.1222[/C][C]0.451489[/C][/ROW]
[ROW][C]28[/C][C]0.044954[/C][C]0.465[/C][C]0.321434[/C][/ROW]
[ROW][C]29[/C][C]-0.004978[/C][C]-0.0515[/C][C]0.479514[/C][/ROW]
[ROW][C]30[/C][C]-0.077653[/C][C]-0.8033[/C][C]0.211805[/C][/ROW]
[ROW][C]31[/C][C]-0.007185[/C][C]-0.0743[/C][C]0.470448[/C][/ROW]
[ROW][C]32[/C][C]0.014622[/C][C]0.1512[/C][C]0.440033[/C][/ROW]
[ROW][C]33[/C][C]-0.03204[/C][C]-0.3314[/C][C]0.370488[/C][/ROW]
[ROW][C]34[/C][C]-0.074044[/C][C]-0.7659[/C][C]0.222705[/C][/ROW]
[ROW][C]35[/C][C]-0.029063[/C][C]-0.3006[/C][C]0.38214[/C][/ROW]
[ROW][C]36[/C][C]-0.052658[/C][C]-0.5447[/C][C]0.293545[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=60517&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=60517&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
10.2177442.25240.01317
20.2612772.70270.004001
30.0476030.49240.311719
40.055280.57180.284321
5-0.041934-0.43380.332665
6-0.018399-0.19030.424707
70.1530741.58340.05814
8-0.029671-0.30690.379752
90.1157961.19780.116821
100.0189410.19590.422518
110.0824770.85310.197741
12-0.032687-0.33810.367968
13-0.037515-0.38810.349372
14-0.021859-0.22610.410773
15-0.005663-0.05860.4767
160.0460150.4760.317528
17-0.028005-0.28970.386309
18-0.07136-0.73820.231019
190.0263280.27230.392943
20-0.01146-0.11850.452929
21-0.109404-1.13170.130148
220.003540.03660.485428
23-0.054703-0.56590.286338
24-0.068776-0.71140.239184
250.1083231.12050.132505
26-0.060466-0.62550.2665
270.0118130.12220.451489
280.0449540.4650.321434
29-0.004978-0.05150.479514
30-0.077653-0.80330.211805
31-0.007185-0.07430.470448
320.0146220.15120.440033
33-0.03204-0.33140.370488
34-0.074044-0.76590.222705
35-0.029063-0.30060.38214
36-0.052658-0.54470.293545


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 36 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = MA ; par7 = 0.95 ;
Parameters (R input):
par1 = 36 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = MA ; 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')