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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, 10 Dec 2008 11:48:27 -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/10/t122893495671lpdin9hfn9g3x.htm/, Retrieved Thu, 09 May 2024 01:46:39 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=32071, Retrieved Thu, 09 May 2024 01:46:39 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact217

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] [autocorrelatie bel20] [2008-12-10 18:48:27] [d41d8cd98f00b204e9800998ecf8427e] [Current]
-  MPD    [(Partial) Autocorrelation Function] [] [2009-12-15 15:19:26] [2f674a53c3d7aaa1bcf80e66074d3c9b]
-   PD      [(Partial) Autocorrelation Function] [] [2009-12-18 14:04:10] [2f674a53c3d7aaa1bcf80e66074d3c9b]
-   PD      [(Partial) Autocorrelation Function] [paper] [2010-12-24 13:07:49] [960f506a46b790b06fab7ca57984a121]
-  MPD    [(Partial) Autocorrelation Function] [] [2009-12-15 15:22:15] [2f674a53c3d7aaa1bcf80e66074d3c9b]
-   PD      [(Partial) Autocorrelation Function] [paper] [2010-12-24 13:19:31] [960f506a46b790b06fab7ca57984a121]
-  MPD    [(Partial) Autocorrelation Function] [autocorrelatie] [2009-12-17 09:16:45] [960f506a46b790b06fab7ca57984a121]
- RMPD    [(Partial) Autocorrelation Function] [bel 20 - autocorr...] [2009-12-19 16:16:40] [a18c43c8b63fa6800a53bb187b9ddd45]
-   P       [(Partial) Autocorrelation Function] [bel 20 - autocorr...] [2009-12-20 09:46:06] [a18c43c8b63fa6800a53bb187b9ddd45]
-    D        [(Partial) Autocorrelation Function] [Werkloosheid vrou...] [2010-12-26 17:16:29] [e4afca2801c0b93eac84a600ed82fb9c]
-   P           [(Partial) Autocorrelation Function] [Werkloosheid vrou...] [2010-12-27 00:12:25] [e4afca2801c0b93eac84a600ed82fb9c]
-   PD        [(Partial) Autocorrelation Function] [Werkloosheid vrou...] [2010-12-26 17:21:11] [e4afca2801c0b93eac84a600ed82fb9c]
-    D      [(Partial) Autocorrelation Function] [Werkloosheid vrou...] [2010-12-26 17:11:15] [e4afca2801c0b93eac84a600ed82fb9c]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
3230.66
3361.13
3484.74
3411.13
3288.18
3280.37
3173.95
3165.26
3092.71
3053.05
3181.96
2999.93
3249.57
3210.52
3030.29
2803.47
2767.63
2882.6
2863.36
2897.06
3012.61
3142.95
3032.93
3045.78
3110.52
3013.24
2987.1
2995.55
2833.18
2848.96
2794.83
2845.26
2915.02
2892.63
2604.42
2641.65
2659.81
2638.53
2720.25
2745.88
2735.7
2811.7
2799.43
2555.28
2304.98
2214.95
2065.81
1940.49
2042
1995.37
1946.81
1765.9
1635.25
1833.42
1910.43
1959.67
1969.6
2061.41
2093.48
2120.88
2174.56
2196.72
2350.44
2440.25
2408.64
2472.81
2407.6
2454.62
2448.05
2497.84
2645.64
2756.76
2849.27
2921.44
2981.85
3080.58
3106.22
3119.31
3061.26
3097.31
3161.69
3257.16
3277.01
3295.32
3363.99
3494.17
3667.03
3813.06
3917.96
3895.51
3801.06
3570.12
3701.61
3862.27
3970.1
4138.52
4199.75
4290.89
4443.91
4502.64
4356.98
4591.27
4696.96
4621.4
4562.84
4202.52
4296.49
4435.23
4105.18
4116.68
3844.49
3720.98
3674.4
3857.62
3801.06
3504.37
3032.6
3047.03
2962.34
2197.82
2014.45

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=32071&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=32071&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32071&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
10.97023510.67260
20.93301910.26320
30.906739.9740
40.8749039.62390
50.8380799.21890
60.8030388.83340
70.7714938.48640
80.738738.1260
90.6974697.67220
100.652427.17660
110.6079556.68750
120.5609996.1710
130.511335.62460
140.4706495.17710
150.4235374.65894e-06
160.3730714.10383.7e-05
170.328093.6090.000224
180.2847623.13240.001088
190.2466742.71340.003816
200.2052662.25790.012871
210.1611641.77280.039388
220.1215771.33730.091809
230.0842860.92720.177847
240.0483990.53240.297718
250.0149520.16450.434815
26-0.018611-0.20470.419068
27-0.052374-0.57610.282805
28-0.085078-0.93590.175604
29-0.120338-1.32370.094047
30-0.157433-1.73180.042932
31-0.189771-2.08750.019472
32-0.218066-2.39870.00899
33-0.244023-2.68430.004144
34-0.268123-2.94940.001912
35-0.289628-3.18590.000918
36-0.309493-3.40440.00045
37-0.331217-3.64340.000199
38-0.352203-3.87428.7e-05
39-0.371737-4.08913.9e-05
40-0.391064-4.30171.7e-05
41-0.41059-4.51657e-06
42-0.429949-4.72943e-06
43-0.446001-4.9061e-06
44-0.455991-5.01591e-06
45-0.463364-5.0971e-06
46-0.467422-5.14161e-06
47-0.468985-5.15880
48-0.467735-5.14511e-06
49-0.464781-5.11261e-06
50-0.457712-5.03481e-06
51-0.448268-4.93091e-06
52-0.43721-4.80932e-06
53-0.422872-4.65164e-06
54-0.408481-4.49338e-06
55-0.392358-4.31591.6e-05
56-0.372298-4.09533.8e-05
57-0.351146-3.86269.1e-05
58-0.326615-3.59280.000237
59-0.30124-3.31360.000608
60-0.276965-3.04660.001421

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.970235 & 10.6726 & 0 \tabularnewline
2 & 0.933019 & 10.2632 & 0 \tabularnewline
3 & 0.90673 & 9.974 & 0 \tabularnewline
4 & 0.874903 & 9.6239 & 0 \tabularnewline
5 & 0.838079 & 9.2189 & 0 \tabularnewline
6 & 0.803038 & 8.8334 & 0 \tabularnewline
7 & 0.771493 & 8.4864 & 0 \tabularnewline
8 & 0.73873 & 8.126 & 0 \tabularnewline
9 & 0.697469 & 7.6722 & 0 \tabularnewline
10 & 0.65242 & 7.1766 & 0 \tabularnewline
11 & 0.607955 & 6.6875 & 0 \tabularnewline
12 & 0.560999 & 6.171 & 0 \tabularnewline
13 & 0.51133 & 5.6246 & 0 \tabularnewline
14 & 0.470649 & 5.1771 & 0 \tabularnewline
15 & 0.423537 & 4.6589 & 4e-06 \tabularnewline
16 & 0.373071 & 4.1038 & 3.7e-05 \tabularnewline
17 & 0.32809 & 3.609 & 0.000224 \tabularnewline
18 & 0.284762 & 3.1324 & 0.001088 \tabularnewline
19 & 0.246674 & 2.7134 & 0.003816 \tabularnewline
20 & 0.205266 & 2.2579 & 0.012871 \tabularnewline
21 & 0.161164 & 1.7728 & 0.039388 \tabularnewline
22 & 0.121577 & 1.3373 & 0.091809 \tabularnewline
23 & 0.084286 & 0.9272 & 0.177847 \tabularnewline
24 & 0.048399 & 0.5324 & 0.297718 \tabularnewline
25 & 0.014952 & 0.1645 & 0.434815 \tabularnewline
26 & -0.018611 & -0.2047 & 0.419068 \tabularnewline
27 & -0.052374 & -0.5761 & 0.282805 \tabularnewline
28 & -0.085078 & -0.9359 & 0.175604 \tabularnewline
29 & -0.120338 & -1.3237 & 0.094047 \tabularnewline
30 & -0.157433 & -1.7318 & 0.042932 \tabularnewline
31 & -0.189771 & -2.0875 & 0.019472 \tabularnewline
32 & -0.218066 & -2.3987 & 0.00899 \tabularnewline
33 & -0.244023 & -2.6843 & 0.004144 \tabularnewline
34 & -0.268123 & -2.9494 & 0.001912 \tabularnewline
35 & -0.289628 & -3.1859 & 0.000918 \tabularnewline
36 & -0.309493 & -3.4044 & 0.00045 \tabularnewline
37 & -0.331217 & -3.6434 & 0.000199 \tabularnewline
38 & -0.352203 & -3.8742 & 8.7e-05 \tabularnewline
39 & -0.371737 & -4.0891 & 3.9e-05 \tabularnewline
40 & -0.391064 & -4.3017 & 1.7e-05 \tabularnewline
41 & -0.41059 & -4.5165 & 7e-06 \tabularnewline
42 & -0.429949 & -4.7294 & 3e-06 \tabularnewline
43 & -0.446001 & -4.906 & 1e-06 \tabularnewline
44 & -0.455991 & -5.0159 & 1e-06 \tabularnewline
45 & -0.463364 & -5.097 & 1e-06 \tabularnewline
46 & -0.467422 & -5.1416 & 1e-06 \tabularnewline
47 & -0.468985 & -5.1588 & 0 \tabularnewline
48 & -0.467735 & -5.1451 & 1e-06 \tabularnewline
49 & -0.464781 & -5.1126 & 1e-06 \tabularnewline
50 & -0.457712 & -5.0348 & 1e-06 \tabularnewline
51 & -0.448268 & -4.9309 & 1e-06 \tabularnewline
52 & -0.43721 & -4.8093 & 2e-06 \tabularnewline
53 & -0.422872 & -4.6516 & 4e-06 \tabularnewline
54 & -0.408481 & -4.4933 & 8e-06 \tabularnewline
55 & -0.392358 & -4.3159 & 1.6e-05 \tabularnewline
56 & -0.372298 & -4.0953 & 3.8e-05 \tabularnewline
57 & -0.351146 & -3.8626 & 9.1e-05 \tabularnewline
58 & -0.326615 & -3.5928 & 0.000237 \tabularnewline
59 & -0.30124 & -3.3136 & 0.000608 \tabularnewline
60 & -0.276965 & -3.0466 & 0.001421 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32071&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]0.970235[/C][C]10.6726[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.933019[/C][C]10.2632[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.90673[/C][C]9.974[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.874903[/C][C]9.6239[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.838079[/C][C]9.2189[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.803038[/C][C]8.8334[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.771493[/C][C]8.4864[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.73873[/C][C]8.126[/C][C]0[/C][/ROW]
[ROW][C]9[/C][C]0.697469[/C][C]7.6722[/C][C]0[/C][/ROW]
[ROW][C]10[/C][C]0.65242[/C][C]7.1766[/C][C]0[/C][/ROW]
[ROW][C]11[/C][C]0.607955[/C][C]6.6875[/C][C]0[/C][/ROW]
[ROW][C]12[/C][C]0.560999[/C][C]6.171[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.51133[/C][C]5.6246[/C][C]0[/C][/ROW]
[ROW][C]14[/C][C]0.470649[/C][C]5.1771[/C][C]0[/C][/ROW]
[ROW][C]15[/C][C]0.423537[/C][C]4.6589[/C][C]4e-06[/C][/ROW]
[ROW][C]16[/C][C]0.373071[/C][C]4.1038[/C][C]3.7e-05[/C][/ROW]
[ROW][C]17[/C][C]0.32809[/C][C]3.609[/C][C]0.000224[/C][/ROW]
[ROW][C]18[/C][C]0.284762[/C][C]3.1324[/C][C]0.001088[/C][/ROW]
[ROW][C]19[/C][C]0.246674[/C][C]2.7134[/C][C]0.003816[/C][/ROW]
[ROW][C]20[/C][C]0.205266[/C][C]2.2579[/C][C]0.012871[/C][/ROW]
[ROW][C]21[/C][C]0.161164[/C][C]1.7728[/C][C]0.039388[/C][/ROW]
[ROW][C]22[/C][C]0.121577[/C][C]1.3373[/C][C]0.091809[/C][/ROW]
[ROW][C]23[/C][C]0.084286[/C][C]0.9272[/C][C]0.177847[/C][/ROW]
[ROW][C]24[/C][C]0.048399[/C][C]0.5324[/C][C]0.297718[/C][/ROW]
[ROW][C]25[/C][C]0.014952[/C][C]0.1645[/C][C]0.434815[/C][/ROW]
[ROW][C]26[/C][C]-0.018611[/C][C]-0.2047[/C][C]0.419068[/C][/ROW]
[ROW][C]27[/C][C]-0.052374[/C][C]-0.5761[/C][C]0.282805[/C][/ROW]
[ROW][C]28[/C][C]-0.085078[/C][C]-0.9359[/C][C]0.175604[/C][/ROW]
[ROW][C]29[/C][C]-0.120338[/C][C]-1.3237[/C][C]0.094047[/C][/ROW]
[ROW][C]30[/C][C]-0.157433[/C][C]-1.7318[/C][C]0.042932[/C][/ROW]
[ROW][C]31[/C][C]-0.189771[/C][C]-2.0875[/C][C]0.019472[/C][/ROW]
[ROW][C]32[/C][C]-0.218066[/C][C]-2.3987[/C][C]0.00899[/C][/ROW]
[ROW][C]33[/C][C]-0.244023[/C][C]-2.6843[/C][C]0.004144[/C][/ROW]
[ROW][C]34[/C][C]-0.268123[/C][C]-2.9494[/C][C]0.001912[/C][/ROW]
[ROW][C]35[/C][C]-0.289628[/C][C]-3.1859[/C][C]0.000918[/C][/ROW]
[ROW][C]36[/C][C]-0.309493[/C][C]-3.4044[/C][C]0.00045[/C][/ROW]
[ROW][C]37[/C][C]-0.331217[/C][C]-3.6434[/C][C]0.000199[/C][/ROW]
[ROW][C]38[/C][C]-0.352203[/C][C]-3.8742[/C][C]8.7e-05[/C][/ROW]
[ROW][C]39[/C][C]-0.371737[/C][C]-4.0891[/C][C]3.9e-05[/C][/ROW]
[ROW][C]40[/C][C]-0.391064[/C][C]-4.3017[/C][C]1.7e-05[/C][/ROW]
[ROW][C]41[/C][C]-0.41059[/C][C]-4.5165[/C][C]7e-06[/C][/ROW]
[ROW][C]42[/C][C]-0.429949[/C][C]-4.7294[/C][C]3e-06[/C][/ROW]
[ROW][C]43[/C][C]-0.446001[/C][C]-4.906[/C][C]1e-06[/C][/ROW]
[ROW][C]44[/C][C]-0.455991[/C][C]-5.0159[/C][C]1e-06[/C][/ROW]
[ROW][C]45[/C][C]-0.463364[/C][C]-5.097[/C][C]1e-06[/C][/ROW]
[ROW][C]46[/C][C]-0.467422[/C][C]-5.1416[/C][C]1e-06[/C][/ROW]
[ROW][C]47[/C][C]-0.468985[/C][C]-5.1588[/C][C]0[/C][/ROW]
[ROW][C]48[/C][C]-0.467735[/C][C]-5.1451[/C][C]1e-06[/C][/ROW]
[ROW][C]49[/C][C]-0.464781[/C][C]-5.1126[/C][C]1e-06[/C][/ROW]
[ROW][C]50[/C][C]-0.457712[/C][C]-5.0348[/C][C]1e-06[/C][/ROW]
[ROW][C]51[/C][C]-0.448268[/C][C]-4.9309[/C][C]1e-06[/C][/ROW]
[ROW][C]52[/C][C]-0.43721[/C][C]-4.8093[/C][C]2e-06[/C][/ROW]
[ROW][C]53[/C][C]-0.422872[/C][C]-4.6516[/C][C]4e-06[/C][/ROW]
[ROW][C]54[/C][C]-0.408481[/C][C]-4.4933[/C][C]8e-06[/C][/ROW]
[ROW][C]55[/C][C]-0.392358[/C][C]-4.3159[/C][C]1.6e-05[/C][/ROW]
[ROW][C]56[/C][C]-0.372298[/C][C]-4.0953[/C][C]3.8e-05[/C][/ROW]
[ROW][C]57[/C][C]-0.351146[/C][C]-3.8626[/C][C]9.1e-05[/C][/ROW]
[ROW][C]58[/C][C]-0.326615[/C][C]-3.5928[/C][C]0.000237[/C][/ROW]
[ROW][C]59[/C][C]-0.30124[/C][C]-3.3136[/C][C]0.000608[/C][/ROW]
[ROW][C]60[/C][C]-0.276965[/C][C]-3.0466[/C][C]0.001421[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32071&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32071&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
10.97023510.67260
20.93301910.26320
30.906739.9740
40.8749039.62390
50.8380799.21890
60.8030388.83340
70.7714938.48640
80.738738.1260
90.6974697.67220
100.652427.17660
110.6079556.68750
120.5609996.1710
130.511335.62460
140.4706495.17710
150.4235374.65894e-06
160.3730714.10383.7e-05
170.328093.6090.000224
180.2847623.13240.001088
190.2466742.71340.003816
200.2052662.25790.012871
210.1611641.77280.039388
220.1215771.33730.091809
230.0842860.92720.177847
240.0483990.53240.297718
250.0149520.16450.434815
26-0.018611-0.20470.419068
27-0.052374-0.57610.282805
28-0.085078-0.93590.175604
29-0.120338-1.32370.094047
30-0.157433-1.73180.042932
31-0.189771-2.08750.019472
32-0.218066-2.39870.00899
33-0.244023-2.68430.004144
34-0.268123-2.94940.001912
35-0.289628-3.18590.000918
36-0.309493-3.40440.00045
37-0.331217-3.64340.000199
38-0.352203-3.87428.7e-05
39-0.371737-4.08913.9e-05
40-0.391064-4.30171.7e-05
41-0.41059-4.51657e-06
42-0.429949-4.72943e-06
43-0.446001-4.9061e-06
44-0.455991-5.01591e-06
45-0.463364-5.0971e-06
46-0.467422-5.14161e-06
47-0.468985-5.15880
48-0.467735-5.14511e-06
49-0.464781-5.11261e-06
50-0.457712-5.03481e-06
51-0.448268-4.93091e-06
52-0.43721-4.80932e-06
53-0.422872-4.65164e-06
54-0.408481-4.49338e-06
55-0.392358-4.31591.6e-05
56-0.372298-4.09533.8e-05
57-0.351146-3.86269.1e-05
58-0.326615-3.59280.000237
59-0.30124-3.31360.000608
60-0.276965-3.04660.001421






Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.97023510.67260
2-0.142189-1.56410.060206
30.1866152.05280.021126
4-0.170045-1.87050.031916
5-0.025424-0.27970.390106
6-0.022491-0.24740.40251
70.0335180.36870.356498
8-0.040291-0.44320.329206
9-0.148793-1.63670.052144
10-0.068881-0.75770.225055
11-0.057066-0.62770.265681
12-0.059611-0.65570.256624
13-0.04748-0.52230.301215
140.1314121.44550.075447
15-0.230128-2.53140.006321
160.041250.45380.32541
17-0.024581-0.27040.39366
180.0129750.14270.443371
190.1132361.24560.107659
20-0.139409-1.53350.063881
21-0.007348-0.08080.467857
22-0.048002-0.5280.299225
230.0317630.34940.363702
240.0336650.37030.355897
25-0.000742-0.00820.496752
26-0.088777-0.97660.16537
27-0.01512-0.16630.43409
28-0.093045-1.02350.154058
29-0.0436-0.47960.31619
30-0.030615-0.33680.368441
31-0.017043-0.18750.425804
320.0585380.64390.260425
33-0.084489-0.92940.177272
340.0338930.37280.354966
350.0168960.18590.426435
36-0.028495-0.31340.377243
37-0.028143-0.30960.378711
38-0.024345-0.26780.394656
39-0.066053-0.72660.234441
40-0.001417-0.01560.493793
41-0.0556-0.61160.270977
42-0.059387-0.65330.257416
430.0178110.19590.422499
440.0317070.34880.363933
450.0259440.28540.387917
460.0215280.23680.406604
47-0.020558-0.22610.410739
480.0546480.60110.274439
49-0.007445-0.08190.467434
500.0800760.88080.190077
511e-051e-040.499957
52-0.012029-0.13230.447476
530.0338630.37250.35509
54-0.06834-0.75170.226835
550.0373520.41090.340945
560.0492950.54220.294322
570.0008550.00940.496255
580.0320620.35270.362471
59-0.038184-0.420.337605
60-0.057531-0.63280.264016

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.970235 & 10.6726 & 0 \tabularnewline
2 & -0.142189 & -1.5641 & 0.060206 \tabularnewline
3 & 0.186615 & 2.0528 & 0.021126 \tabularnewline
4 & -0.170045 & -1.8705 & 0.031916 \tabularnewline
5 & -0.025424 & -0.2797 & 0.390106 \tabularnewline
6 & -0.022491 & -0.2474 & 0.40251 \tabularnewline
7 & 0.033518 & 0.3687 & 0.356498 \tabularnewline
8 & -0.040291 & -0.4432 & 0.329206 \tabularnewline
9 & -0.148793 & -1.6367 & 0.052144 \tabularnewline
10 & -0.068881 & -0.7577 & 0.225055 \tabularnewline
11 & -0.057066 & -0.6277 & 0.265681 \tabularnewline
12 & -0.059611 & -0.6557 & 0.256624 \tabularnewline
13 & -0.04748 & -0.5223 & 0.301215 \tabularnewline
14 & 0.131412 & 1.4455 & 0.075447 \tabularnewline
15 & -0.230128 & -2.5314 & 0.006321 \tabularnewline
16 & 0.04125 & 0.4538 & 0.32541 \tabularnewline
17 & -0.024581 & -0.2704 & 0.39366 \tabularnewline
18 & 0.012975 & 0.1427 & 0.443371 \tabularnewline
19 & 0.113236 & 1.2456 & 0.107659 \tabularnewline
20 & -0.139409 & -1.5335 & 0.063881 \tabularnewline
21 & -0.007348 & -0.0808 & 0.467857 \tabularnewline
22 & -0.048002 & -0.528 & 0.299225 \tabularnewline
23 & 0.031763 & 0.3494 & 0.363702 \tabularnewline
24 & 0.033665 & 0.3703 & 0.355897 \tabularnewline
25 & -0.000742 & -0.0082 & 0.496752 \tabularnewline
26 & -0.088777 & -0.9766 & 0.16537 \tabularnewline
27 & -0.01512 & -0.1663 & 0.43409 \tabularnewline
28 & -0.093045 & -1.0235 & 0.154058 \tabularnewline
29 & -0.0436 & -0.4796 & 0.31619 \tabularnewline
30 & -0.030615 & -0.3368 & 0.368441 \tabularnewline
31 & -0.017043 & -0.1875 & 0.425804 \tabularnewline
32 & 0.058538 & 0.6439 & 0.260425 \tabularnewline
33 & -0.084489 & -0.9294 & 0.177272 \tabularnewline
34 & 0.033893 & 0.3728 & 0.354966 \tabularnewline
35 & 0.016896 & 0.1859 & 0.426435 \tabularnewline
36 & -0.028495 & -0.3134 & 0.377243 \tabularnewline
37 & -0.028143 & -0.3096 & 0.378711 \tabularnewline
38 & -0.024345 & -0.2678 & 0.394656 \tabularnewline
39 & -0.066053 & -0.7266 & 0.234441 \tabularnewline
40 & -0.001417 & -0.0156 & 0.493793 \tabularnewline
41 & -0.0556 & -0.6116 & 0.270977 \tabularnewline
42 & -0.059387 & -0.6533 & 0.257416 \tabularnewline
43 & 0.017811 & 0.1959 & 0.422499 \tabularnewline
44 & 0.031707 & 0.3488 & 0.363933 \tabularnewline
45 & 0.025944 & 0.2854 & 0.387917 \tabularnewline
46 & 0.021528 & 0.2368 & 0.406604 \tabularnewline
47 & -0.020558 & -0.2261 & 0.410739 \tabularnewline
48 & 0.054648 & 0.6011 & 0.274439 \tabularnewline
49 & -0.007445 & -0.0819 & 0.467434 \tabularnewline
50 & 0.080076 & 0.8808 & 0.190077 \tabularnewline
51 & 1e-05 & 1e-04 & 0.499957 \tabularnewline
52 & -0.012029 & -0.1323 & 0.447476 \tabularnewline
53 & 0.033863 & 0.3725 & 0.35509 \tabularnewline
54 & -0.06834 & -0.7517 & 0.226835 \tabularnewline
55 & 0.037352 & 0.4109 & 0.340945 \tabularnewline
56 & 0.049295 & 0.5422 & 0.294322 \tabularnewline
57 & 0.000855 & 0.0094 & 0.496255 \tabularnewline
58 & 0.032062 & 0.3527 & 0.362471 \tabularnewline
59 & -0.038184 & -0.42 & 0.337605 \tabularnewline
60 & -0.057531 & -0.6328 & 0.264016 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32071&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]0.970235[/C][C]10.6726[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.142189[/C][C]-1.5641[/C][C]0.060206[/C][/ROW]
[ROW][C]3[/C][C]0.186615[/C][C]2.0528[/C][C]0.021126[/C][/ROW]
[ROW][C]4[/C][C]-0.170045[/C][C]-1.8705[/C][C]0.031916[/C][/ROW]
[ROW][C]5[/C][C]-0.025424[/C][C]-0.2797[/C][C]0.390106[/C][/ROW]
[ROW][C]6[/C][C]-0.022491[/C][C]-0.2474[/C][C]0.40251[/C][/ROW]
[ROW][C]7[/C][C]0.033518[/C][C]0.3687[/C][C]0.356498[/C][/ROW]
[ROW][C]8[/C][C]-0.040291[/C][C]-0.4432[/C][C]0.329206[/C][/ROW]
[ROW][C]9[/C][C]-0.148793[/C][C]-1.6367[/C][C]0.052144[/C][/ROW]
[ROW][C]10[/C][C]-0.068881[/C][C]-0.7577[/C][C]0.225055[/C][/ROW]
[ROW][C]11[/C][C]-0.057066[/C][C]-0.6277[/C][C]0.265681[/C][/ROW]
[ROW][C]12[/C][C]-0.059611[/C][C]-0.6557[/C][C]0.256624[/C][/ROW]
[ROW][C]13[/C][C]-0.04748[/C][C]-0.5223[/C][C]0.301215[/C][/ROW]
[ROW][C]14[/C][C]0.131412[/C][C]1.4455[/C][C]0.075447[/C][/ROW]
[ROW][C]15[/C][C]-0.230128[/C][C]-2.5314[/C][C]0.006321[/C][/ROW]
[ROW][C]16[/C][C]0.04125[/C][C]0.4538[/C][C]0.32541[/C][/ROW]
[ROW][C]17[/C][C]-0.024581[/C][C]-0.2704[/C][C]0.39366[/C][/ROW]
[ROW][C]18[/C][C]0.012975[/C][C]0.1427[/C][C]0.443371[/C][/ROW]
[ROW][C]19[/C][C]0.113236[/C][C]1.2456[/C][C]0.107659[/C][/ROW]
[ROW][C]20[/C][C]-0.139409[/C][C]-1.5335[/C][C]0.063881[/C][/ROW]
[ROW][C]21[/C][C]-0.007348[/C][C]-0.0808[/C][C]0.467857[/C][/ROW]
[ROW][C]22[/C][C]-0.048002[/C][C]-0.528[/C][C]0.299225[/C][/ROW]
[ROW][C]23[/C][C]0.031763[/C][C]0.3494[/C][C]0.363702[/C][/ROW]
[ROW][C]24[/C][C]0.033665[/C][C]0.3703[/C][C]0.355897[/C][/ROW]
[ROW][C]25[/C][C]-0.000742[/C][C]-0.0082[/C][C]0.496752[/C][/ROW]
[ROW][C]26[/C][C]-0.088777[/C][C]-0.9766[/C][C]0.16537[/C][/ROW]
[ROW][C]27[/C][C]-0.01512[/C][C]-0.1663[/C][C]0.43409[/C][/ROW]
[ROW][C]28[/C][C]-0.093045[/C][C]-1.0235[/C][C]0.154058[/C][/ROW]
[ROW][C]29[/C][C]-0.0436[/C][C]-0.4796[/C][C]0.31619[/C][/ROW]
[ROW][C]30[/C][C]-0.030615[/C][C]-0.3368[/C][C]0.368441[/C][/ROW]
[ROW][C]31[/C][C]-0.017043[/C][C]-0.1875[/C][C]0.425804[/C][/ROW]
[ROW][C]32[/C][C]0.058538[/C][C]0.6439[/C][C]0.260425[/C][/ROW]
[ROW][C]33[/C][C]-0.084489[/C][C]-0.9294[/C][C]0.177272[/C][/ROW]
[ROW][C]34[/C][C]0.033893[/C][C]0.3728[/C][C]0.354966[/C][/ROW]
[ROW][C]35[/C][C]0.016896[/C][C]0.1859[/C][C]0.426435[/C][/ROW]
[ROW][C]36[/C][C]-0.028495[/C][C]-0.3134[/C][C]0.377243[/C][/ROW]
[ROW][C]37[/C][C]-0.028143[/C][C]-0.3096[/C][C]0.378711[/C][/ROW]
[ROW][C]38[/C][C]-0.024345[/C][C]-0.2678[/C][C]0.394656[/C][/ROW]
[ROW][C]39[/C][C]-0.066053[/C][C]-0.7266[/C][C]0.234441[/C][/ROW]
[ROW][C]40[/C][C]-0.001417[/C][C]-0.0156[/C][C]0.493793[/C][/ROW]
[ROW][C]41[/C][C]-0.0556[/C][C]-0.6116[/C][C]0.270977[/C][/ROW]
[ROW][C]42[/C][C]-0.059387[/C][C]-0.6533[/C][C]0.257416[/C][/ROW]
[ROW][C]43[/C][C]0.017811[/C][C]0.1959[/C][C]0.422499[/C][/ROW]
[ROW][C]44[/C][C]0.031707[/C][C]0.3488[/C][C]0.363933[/C][/ROW]
[ROW][C]45[/C][C]0.025944[/C][C]0.2854[/C][C]0.387917[/C][/ROW]
[ROW][C]46[/C][C]0.021528[/C][C]0.2368[/C][C]0.406604[/C][/ROW]
[ROW][C]47[/C][C]-0.020558[/C][C]-0.2261[/C][C]0.410739[/C][/ROW]
[ROW][C]48[/C][C]0.054648[/C][C]0.6011[/C][C]0.274439[/C][/ROW]
[ROW][C]49[/C][C]-0.007445[/C][C]-0.0819[/C][C]0.467434[/C][/ROW]
[ROW][C]50[/C][C]0.080076[/C][C]0.8808[/C][C]0.190077[/C][/ROW]
[ROW][C]51[/C][C]1e-05[/C][C]1e-04[/C][C]0.499957[/C][/ROW]
[ROW][C]52[/C][C]-0.012029[/C][C]-0.1323[/C][C]0.447476[/C][/ROW]
[ROW][C]53[/C][C]0.033863[/C][C]0.3725[/C][C]0.35509[/C][/ROW]
[ROW][C]54[/C][C]-0.06834[/C][C]-0.7517[/C][C]0.226835[/C][/ROW]
[ROW][C]55[/C][C]0.037352[/C][C]0.4109[/C][C]0.340945[/C][/ROW]
[ROW][C]56[/C][C]0.049295[/C][C]0.5422[/C][C]0.294322[/C][/ROW]
[ROW][C]57[/C][C]0.000855[/C][C]0.0094[/C][C]0.496255[/C][/ROW]
[ROW][C]58[/C][C]0.032062[/C][C]0.3527[/C][C]0.362471[/C][/ROW]
[ROW][C]59[/C][C]-0.038184[/C][C]-0.42[/C][C]0.337605[/C][/ROW]
[ROW][C]60[/C][C]-0.057531[/C][C]-0.6328[/C][C]0.264016[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32071&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32071&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
10.97023510.67260
2-0.142189-1.56410.060206
30.1866152.05280.021126
4-0.170045-1.87050.031916
5-0.025424-0.27970.390106
6-0.022491-0.24740.40251
70.0335180.36870.356498
8-0.040291-0.44320.329206
9-0.148793-1.63670.052144
10-0.068881-0.75770.225055
11-0.057066-0.62770.265681
12-0.059611-0.65570.256624
13-0.04748-0.52230.301215
140.1314121.44550.075447
15-0.230128-2.53140.006321
160.041250.45380.32541
17-0.024581-0.27040.39366
180.0129750.14270.443371
190.1132361.24560.107659
20-0.139409-1.53350.063881
21-0.007348-0.08080.467857
22-0.048002-0.5280.299225
230.0317630.34940.363702
240.0336650.37030.355897
25-0.000742-0.00820.496752
26-0.088777-0.97660.16537
27-0.01512-0.16630.43409
28-0.093045-1.02350.154058
29-0.0436-0.47960.31619
30-0.030615-0.33680.368441
31-0.017043-0.18750.425804
320.0585380.64390.260425
33-0.084489-0.92940.177272
340.0338930.37280.354966
350.0168960.18590.426435
36-0.028495-0.31340.377243
37-0.028143-0.30960.378711
38-0.024345-0.26780.394656
39-0.066053-0.72660.234441
40-0.001417-0.01560.493793
41-0.0556-0.61160.270977
42-0.059387-0.65330.257416
430.0178110.19590.422499
440.0317070.34880.363933
450.0259440.28540.387917
460.0215280.23680.406604
47-0.020558-0.22610.410739
480.0546480.60110.274439
49-0.007445-0.08190.467434
500.0800760.88080.190077
511e-051e-040.499957
52-0.012029-0.13230.447476
530.0338630.37250.35509
54-0.06834-0.75170.226835
550.0373520.41090.340945
560.0492950.54220.294322
570.0008550.00940.496255
580.0320620.35270.362471
59-0.038184-0.420.337605
60-0.057531-0.63280.264016


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; 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')