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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 computationTue, 18 Aug 2009 08:28:04 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Aug/18/t1250605762qlep9dseoni1pxw.htm/, Retrieved Mon, 06 May 2024 12:47:39 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=42829, Retrieved Mon, 06 May 2024 12:47:39 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact182

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [huur niet-sociale...] [2009-08-18 09:24:53] [9bfa6cce6cc5e8bbb612e3eff9d9524a]
- RMP   [Histogram] [frequentietabl- s...] [2009-08-18 10:28:11] [87b6fd9e7a53f2856f695d138cdb3a23]
- RMPD    [Mean versus Median] [median vs mean- m...] [2009-08-18 12:42:02] [87b6fd9e7a53f2856f695d138cdb3a23]
- RM D        [(Partial) Autocorrelation Function] [autocorrelatiefun...] [2009-08-18 14:28:04] [f3c9ae0d0dd86c9c5120b223ccb0da06] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
102.2
102.4
102.4
102.5
102.5
102.6
102.8
102.9
102.9
103.1
103.2
103.3
103.6
103.7
103.8
104
104
104.1
104.2
104.3
104.4
104.5
104.7
104.7
104.9
105
105.2
105.3
105.4
105.5
105.7
105.8
105.9
106
106.1
106.2
106.6
106.8
107
107.1
107.3
107.4
107.6
107.7
107.9
108.2
108.3
108.5
108.92
109.23
109.41
109.65
109.91
110.01
110.2
110.49
110.57
110.72
110.94
111.09
111.28
111.41
111.62
111.76
111.89
112.04
112.12
112.3
112.47
112.59
112.78
112.73
112.99
113.1
113.33
113.38
113.68
113.65
113.81
113.88
114.02
114.25
114.28
114.38
114.73
114.97
115.05
115.29
115.37
115.54
115.76
115.92
116.02
116.21
116.26
116.51

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=42829&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=42829&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42829&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
1-0.120614-1.17560.121345
20.13361.30220.098002
30.1459591.42260.079058
40.1188761.15870.124749
5-0.051594-0.50290.308107
60.2506442.4430.008207
7-0.03548-0.34580.365122
80.0320150.3120.377844
90.0832390.81130.209608
100.0085190.0830.467002
110.1171471.14180.128202
120.2144892.09060.019618
13-0.033367-0.32520.372863
140.0640720.62450.266899
150.0860650.83890.201827
16-0.079344-0.77330.220619
17-0.019654-0.19160.424248
18-0.013437-0.1310.448041
190.0082480.08040.468049
20-0.186295-1.81580.036279
210.0512880.49990.309153
22-0.112105-1.09270.138653
23-0.005848-0.0570.477332
240.0039380.03840.48473
250.0164990.16080.43629
26-0.059264-0.57760.28244
27-0.021413-0.20870.417561
28-0.128132-1.24890.10739
29-0.104636-1.01990.155191
30-0.002447-0.02390.490511
31-0.130657-1.27350.102976
32-0.091031-0.88730.18859
33-0.012661-0.12340.451025
34-0.169497-1.65210.050913
35-0.116008-1.13070.130514
360.2232092.17560.016034
37-0.055507-0.5410.294881
38-0.01164-0.11350.454954
390.0021790.02120.491549
400.0247230.2410.405048
41-0.185866-1.81160.036604
420.0130520.12720.449519
43-0.031478-0.30680.37983
44-0.108812-1.06060.145788
45-0.053018-0.51680.303265
46-0.053443-0.52090.301824
47-0.093358-0.90990.182578
480.1551471.51220.066903

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.120614 & -1.1756 & 0.121345 \tabularnewline
2 & 0.1336 & 1.3022 & 0.098002 \tabularnewline
3 & 0.145959 & 1.4226 & 0.079058 \tabularnewline
4 & 0.118876 & 1.1587 & 0.124749 \tabularnewline
5 & -0.051594 & -0.5029 & 0.308107 \tabularnewline
6 & 0.250644 & 2.443 & 0.008207 \tabularnewline
7 & -0.03548 & -0.3458 & 0.365122 \tabularnewline
8 & 0.032015 & 0.312 & 0.377844 \tabularnewline
9 & 0.083239 & 0.8113 & 0.209608 \tabularnewline
10 & 0.008519 & 0.083 & 0.467002 \tabularnewline
11 & 0.117147 & 1.1418 & 0.128202 \tabularnewline
12 & 0.214489 & 2.0906 & 0.019618 \tabularnewline
13 & -0.033367 & -0.3252 & 0.372863 \tabularnewline
14 & 0.064072 & 0.6245 & 0.266899 \tabularnewline
15 & 0.086065 & 0.8389 & 0.201827 \tabularnewline
16 & -0.079344 & -0.7733 & 0.220619 \tabularnewline
17 & -0.019654 & -0.1916 & 0.424248 \tabularnewline
18 & -0.013437 & -0.131 & 0.448041 \tabularnewline
19 & 0.008248 & 0.0804 & 0.468049 \tabularnewline
20 & -0.186295 & -1.8158 & 0.036279 \tabularnewline
21 & 0.051288 & 0.4999 & 0.309153 \tabularnewline
22 & -0.112105 & -1.0927 & 0.138653 \tabularnewline
23 & -0.005848 & -0.057 & 0.477332 \tabularnewline
24 & 0.003938 & 0.0384 & 0.48473 \tabularnewline
25 & 0.016499 & 0.1608 & 0.43629 \tabularnewline
26 & -0.059264 & -0.5776 & 0.28244 \tabularnewline
27 & -0.021413 & -0.2087 & 0.417561 \tabularnewline
28 & -0.128132 & -1.2489 & 0.10739 \tabularnewline
29 & -0.104636 & -1.0199 & 0.155191 \tabularnewline
30 & -0.002447 & -0.0239 & 0.490511 \tabularnewline
31 & -0.130657 & -1.2735 & 0.102976 \tabularnewline
32 & -0.091031 & -0.8873 & 0.18859 \tabularnewline
33 & -0.012661 & -0.1234 & 0.451025 \tabularnewline
34 & -0.169497 & -1.6521 & 0.050913 \tabularnewline
35 & -0.116008 & -1.1307 & 0.130514 \tabularnewline
36 & 0.223209 & 2.1756 & 0.016034 \tabularnewline
37 & -0.055507 & -0.541 & 0.294881 \tabularnewline
38 & -0.01164 & -0.1135 & 0.454954 \tabularnewline
39 & 0.002179 & 0.0212 & 0.491549 \tabularnewline
40 & 0.024723 & 0.241 & 0.405048 \tabularnewline
41 & -0.185866 & -1.8116 & 0.036604 \tabularnewline
42 & 0.013052 & 0.1272 & 0.449519 \tabularnewline
43 & -0.031478 & -0.3068 & 0.37983 \tabularnewline
44 & -0.108812 & -1.0606 & 0.145788 \tabularnewline
45 & -0.053018 & -0.5168 & 0.303265 \tabularnewline
46 & -0.053443 & -0.5209 & 0.301824 \tabularnewline
47 & -0.093358 & -0.9099 & 0.182578 \tabularnewline
48 & 0.155147 & 1.5122 & 0.066903 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42829&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]-0.120614[/C][C]-1.1756[/C][C]0.121345[/C][/ROW]
[ROW][C]2[/C][C]0.1336[/C][C]1.3022[/C][C]0.098002[/C][/ROW]
[ROW][C]3[/C][C]0.145959[/C][C]1.4226[/C][C]0.079058[/C][/ROW]
[ROW][C]4[/C][C]0.118876[/C][C]1.1587[/C][C]0.124749[/C][/ROW]
[ROW][C]5[/C][C]-0.051594[/C][C]-0.5029[/C][C]0.308107[/C][/ROW]
[ROW][C]6[/C][C]0.250644[/C][C]2.443[/C][C]0.008207[/C][/ROW]
[ROW][C]7[/C][C]-0.03548[/C][C]-0.3458[/C][C]0.365122[/C][/ROW]
[ROW][C]8[/C][C]0.032015[/C][C]0.312[/C][C]0.377844[/C][/ROW]
[ROW][C]9[/C][C]0.083239[/C][C]0.8113[/C][C]0.209608[/C][/ROW]
[ROW][C]10[/C][C]0.008519[/C][C]0.083[/C][C]0.467002[/C][/ROW]
[ROW][C]11[/C][C]0.117147[/C][C]1.1418[/C][C]0.128202[/C][/ROW]
[ROW][C]12[/C][C]0.214489[/C][C]2.0906[/C][C]0.019618[/C][/ROW]
[ROW][C]13[/C][C]-0.033367[/C][C]-0.3252[/C][C]0.372863[/C][/ROW]
[ROW][C]14[/C][C]0.064072[/C][C]0.6245[/C][C]0.266899[/C][/ROW]
[ROW][C]15[/C][C]0.086065[/C][C]0.8389[/C][C]0.201827[/C][/ROW]
[ROW][C]16[/C][C]-0.079344[/C][C]-0.7733[/C][C]0.220619[/C][/ROW]
[ROW][C]17[/C][C]-0.019654[/C][C]-0.1916[/C][C]0.424248[/C][/ROW]
[ROW][C]18[/C][C]-0.013437[/C][C]-0.131[/C][C]0.448041[/C][/ROW]
[ROW][C]19[/C][C]0.008248[/C][C]0.0804[/C][C]0.468049[/C][/ROW]
[ROW][C]20[/C][C]-0.186295[/C][C]-1.8158[/C][C]0.036279[/C][/ROW]
[ROW][C]21[/C][C]0.051288[/C][C]0.4999[/C][C]0.309153[/C][/ROW]
[ROW][C]22[/C][C]-0.112105[/C][C]-1.0927[/C][C]0.138653[/C][/ROW]
[ROW][C]23[/C][C]-0.005848[/C][C]-0.057[/C][C]0.477332[/C][/ROW]
[ROW][C]24[/C][C]0.003938[/C][C]0.0384[/C][C]0.48473[/C][/ROW]
[ROW][C]25[/C][C]0.016499[/C][C]0.1608[/C][C]0.43629[/C][/ROW]
[ROW][C]26[/C][C]-0.059264[/C][C]-0.5776[/C][C]0.28244[/C][/ROW]
[ROW][C]27[/C][C]-0.021413[/C][C]-0.2087[/C][C]0.417561[/C][/ROW]
[ROW][C]28[/C][C]-0.128132[/C][C]-1.2489[/C][C]0.10739[/C][/ROW]
[ROW][C]29[/C][C]-0.104636[/C][C]-1.0199[/C][C]0.155191[/C][/ROW]
[ROW][C]30[/C][C]-0.002447[/C][C]-0.0239[/C][C]0.490511[/C][/ROW]
[ROW][C]31[/C][C]-0.130657[/C][C]-1.2735[/C][C]0.102976[/C][/ROW]
[ROW][C]32[/C][C]-0.091031[/C][C]-0.8873[/C][C]0.18859[/C][/ROW]
[ROW][C]33[/C][C]-0.012661[/C][C]-0.1234[/C][C]0.451025[/C][/ROW]
[ROW][C]34[/C][C]-0.169497[/C][C]-1.6521[/C][C]0.050913[/C][/ROW]
[ROW][C]35[/C][C]-0.116008[/C][C]-1.1307[/C][C]0.130514[/C][/ROW]
[ROW][C]36[/C][C]0.223209[/C][C]2.1756[/C][C]0.016034[/C][/ROW]
[ROW][C]37[/C][C]-0.055507[/C][C]-0.541[/C][C]0.294881[/C][/ROW]
[ROW][C]38[/C][C]-0.01164[/C][C]-0.1135[/C][C]0.454954[/C][/ROW]
[ROW][C]39[/C][C]0.002179[/C][C]0.0212[/C][C]0.491549[/C][/ROW]
[ROW][C]40[/C][C]0.024723[/C][C]0.241[/C][C]0.405048[/C][/ROW]
[ROW][C]41[/C][C]-0.185866[/C][C]-1.8116[/C][C]0.036604[/C][/ROW]
[ROW][C]42[/C][C]0.013052[/C][C]0.1272[/C][C]0.449519[/C][/ROW]
[ROW][C]43[/C][C]-0.031478[/C][C]-0.3068[/C][C]0.37983[/C][/ROW]
[ROW][C]44[/C][C]-0.108812[/C][C]-1.0606[/C][C]0.145788[/C][/ROW]
[ROW][C]45[/C][C]-0.053018[/C][C]-0.5168[/C][C]0.303265[/C][/ROW]
[ROW][C]46[/C][C]-0.053443[/C][C]-0.5209[/C][C]0.301824[/C][/ROW]
[ROW][C]47[/C][C]-0.093358[/C][C]-0.9099[/C][C]0.182578[/C][/ROW]
[ROW][C]48[/C][C]0.155147[/C][C]1.5122[/C][C]0.066903[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42829&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42829&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
1-0.120614-1.17560.121345
20.13361.30220.098002
30.1459591.42260.079058
40.1188761.15870.124749
5-0.051594-0.50290.308107
60.2506442.4430.008207
7-0.03548-0.34580.365122
80.0320150.3120.377844
90.0832390.81130.209608
100.0085190.0830.467002
110.1171471.14180.128202
120.2144892.09060.019618
13-0.033367-0.32520.372863
140.0640720.62450.266899
150.0860650.83890.201827
16-0.079344-0.77330.220619
17-0.019654-0.19160.424248
18-0.013437-0.1310.448041
190.0082480.08040.468049
20-0.186295-1.81580.036279
210.0512880.49990.309153
22-0.112105-1.09270.138653
23-0.005848-0.0570.477332
240.0039380.03840.48473
250.0164990.16080.43629
26-0.059264-0.57760.28244
27-0.021413-0.20870.417561
28-0.128132-1.24890.10739
29-0.104636-1.01990.155191
30-0.002447-0.02390.490511
31-0.130657-1.27350.102976
32-0.091031-0.88730.18859
33-0.012661-0.12340.451025
34-0.169497-1.65210.050913
35-0.116008-1.13070.130514
360.2232092.17560.016034
37-0.055507-0.5410.294881
38-0.01164-0.11350.454954
390.0021790.02120.491549
400.0247230.2410.405048
41-0.185866-1.81160.036604
420.0130520.12720.449519
43-0.031478-0.30680.37983
44-0.108812-1.06060.145788
45-0.053018-0.51680.303265
46-0.053443-0.52090.301824
47-0.093358-0.90990.182578
480.1551471.51220.066903






Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.120614-1.17560.121345
20.120811.17750.120966
30.1799031.75350.041373
40.1495641.45780.074101
5-0.064356-0.62730.265996
60.1868311.8210.035877
7-0.00672-0.06550.473958
8-0.02775-0.27050.393692
90.0337160.32860.371582
10-0.02607-0.25410.399985
110.1410021.37430.086288
120.2086162.03330.022404
13-0.010296-0.10040.460138
14-0.02236-0.21790.413972
15-0.016437-0.16020.43653
16-0.115812-1.12880.130912
17-0.107978-1.05240.147635
18-0.130027-1.26730.104065
190.0515620.50260.308219
20-0.164365-1.6020.056234
21-0.011858-0.11560.454117
22-0.05507-0.53680.296345
23-0.04376-0.42650.335348
240.0421370.41070.341107
250.0243340.23720.406516
260.0220910.21530.414989
27-0.039967-0.38960.348869
28-0.087496-0.85280.197955
29-0.094176-0.91790.180493
300.0135330.13190.44767
31-0.03299-0.32150.37425
320.0234440.22850.409873
330.035820.34910.363881
34-0.083867-0.81740.207864
35-0.111476-1.08650.139995
360.2279242.22150.014345
370.1192491.16230.124013
380.0276610.26960.394025
39-0.008207-0.080.468205
400.055340.53940.295441
41-0.119409-1.16390.123699
42-0.184174-1.79510.037909
430.0324390.31620.376283
44-0.073882-0.72010.23661
45-0.030941-0.30160.381817
460.0084390.08230.467309
47-0.111776-1.08950.139353
480.0817410.79670.213802

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.120614 & -1.1756 & 0.121345 \tabularnewline
2 & 0.12081 & 1.1775 & 0.120966 \tabularnewline
3 & 0.179903 & 1.7535 & 0.041373 \tabularnewline
4 & 0.149564 & 1.4578 & 0.074101 \tabularnewline
5 & -0.064356 & -0.6273 & 0.265996 \tabularnewline
6 & 0.186831 & 1.821 & 0.035877 \tabularnewline
7 & -0.00672 & -0.0655 & 0.473958 \tabularnewline
8 & -0.02775 & -0.2705 & 0.393692 \tabularnewline
9 & 0.033716 & 0.3286 & 0.371582 \tabularnewline
10 & -0.02607 & -0.2541 & 0.399985 \tabularnewline
11 & 0.141002 & 1.3743 & 0.086288 \tabularnewline
12 & 0.208616 & 2.0333 & 0.022404 \tabularnewline
13 & -0.010296 & -0.1004 & 0.460138 \tabularnewline
14 & -0.02236 & -0.2179 & 0.413972 \tabularnewline
15 & -0.016437 & -0.1602 & 0.43653 \tabularnewline
16 & -0.115812 & -1.1288 & 0.130912 \tabularnewline
17 & -0.107978 & -1.0524 & 0.147635 \tabularnewline
18 & -0.130027 & -1.2673 & 0.104065 \tabularnewline
19 & 0.051562 & 0.5026 & 0.308219 \tabularnewline
20 & -0.164365 & -1.602 & 0.056234 \tabularnewline
21 & -0.011858 & -0.1156 & 0.454117 \tabularnewline
22 & -0.05507 & -0.5368 & 0.296345 \tabularnewline
23 & -0.04376 & -0.4265 & 0.335348 \tabularnewline
24 & 0.042137 & 0.4107 & 0.341107 \tabularnewline
25 & 0.024334 & 0.2372 & 0.406516 \tabularnewline
26 & 0.022091 & 0.2153 & 0.414989 \tabularnewline
27 & -0.039967 & -0.3896 & 0.348869 \tabularnewline
28 & -0.087496 & -0.8528 & 0.197955 \tabularnewline
29 & -0.094176 & -0.9179 & 0.180493 \tabularnewline
30 & 0.013533 & 0.1319 & 0.44767 \tabularnewline
31 & -0.03299 & -0.3215 & 0.37425 \tabularnewline
32 & 0.023444 & 0.2285 & 0.409873 \tabularnewline
33 & 0.03582 & 0.3491 & 0.363881 \tabularnewline
34 & -0.083867 & -0.8174 & 0.207864 \tabularnewline
35 & -0.111476 & -1.0865 & 0.139995 \tabularnewline
36 & 0.227924 & 2.2215 & 0.014345 \tabularnewline
37 & 0.119249 & 1.1623 & 0.124013 \tabularnewline
38 & 0.027661 & 0.2696 & 0.394025 \tabularnewline
39 & -0.008207 & -0.08 & 0.468205 \tabularnewline
40 & 0.05534 & 0.5394 & 0.295441 \tabularnewline
41 & -0.119409 & -1.1639 & 0.123699 \tabularnewline
42 & -0.184174 & -1.7951 & 0.037909 \tabularnewline
43 & 0.032439 & 0.3162 & 0.376283 \tabularnewline
44 & -0.073882 & -0.7201 & 0.23661 \tabularnewline
45 & -0.030941 & -0.3016 & 0.381817 \tabularnewline
46 & 0.008439 & 0.0823 & 0.467309 \tabularnewline
47 & -0.111776 & -1.0895 & 0.139353 \tabularnewline
48 & 0.081741 & 0.7967 & 0.213802 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42829&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]-0.120614[/C][C]-1.1756[/C][C]0.121345[/C][/ROW]
[ROW][C]2[/C][C]0.12081[/C][C]1.1775[/C][C]0.120966[/C][/ROW]
[ROW][C]3[/C][C]0.179903[/C][C]1.7535[/C][C]0.041373[/C][/ROW]
[ROW][C]4[/C][C]0.149564[/C][C]1.4578[/C][C]0.074101[/C][/ROW]
[ROW][C]5[/C][C]-0.064356[/C][C]-0.6273[/C][C]0.265996[/C][/ROW]
[ROW][C]6[/C][C]0.186831[/C][C]1.821[/C][C]0.035877[/C][/ROW]
[ROW][C]7[/C][C]-0.00672[/C][C]-0.0655[/C][C]0.473958[/C][/ROW]
[ROW][C]8[/C][C]-0.02775[/C][C]-0.2705[/C][C]0.393692[/C][/ROW]
[ROW][C]9[/C][C]0.033716[/C][C]0.3286[/C][C]0.371582[/C][/ROW]
[ROW][C]10[/C][C]-0.02607[/C][C]-0.2541[/C][C]0.399985[/C][/ROW]
[ROW][C]11[/C][C]0.141002[/C][C]1.3743[/C][C]0.086288[/C][/ROW]
[ROW][C]12[/C][C]0.208616[/C][C]2.0333[/C][C]0.022404[/C][/ROW]
[ROW][C]13[/C][C]-0.010296[/C][C]-0.1004[/C][C]0.460138[/C][/ROW]
[ROW][C]14[/C][C]-0.02236[/C][C]-0.2179[/C][C]0.413972[/C][/ROW]
[ROW][C]15[/C][C]-0.016437[/C][C]-0.1602[/C][C]0.43653[/C][/ROW]
[ROW][C]16[/C][C]-0.115812[/C][C]-1.1288[/C][C]0.130912[/C][/ROW]
[ROW][C]17[/C][C]-0.107978[/C][C]-1.0524[/C][C]0.147635[/C][/ROW]
[ROW][C]18[/C][C]-0.130027[/C][C]-1.2673[/C][C]0.104065[/C][/ROW]
[ROW][C]19[/C][C]0.051562[/C][C]0.5026[/C][C]0.308219[/C][/ROW]
[ROW][C]20[/C][C]-0.164365[/C][C]-1.602[/C][C]0.056234[/C][/ROW]
[ROW][C]21[/C][C]-0.011858[/C][C]-0.1156[/C][C]0.454117[/C][/ROW]
[ROW][C]22[/C][C]-0.05507[/C][C]-0.5368[/C][C]0.296345[/C][/ROW]
[ROW][C]23[/C][C]-0.04376[/C][C]-0.4265[/C][C]0.335348[/C][/ROW]
[ROW][C]24[/C][C]0.042137[/C][C]0.4107[/C][C]0.341107[/C][/ROW]
[ROW][C]25[/C][C]0.024334[/C][C]0.2372[/C][C]0.406516[/C][/ROW]
[ROW][C]26[/C][C]0.022091[/C][C]0.2153[/C][C]0.414989[/C][/ROW]
[ROW][C]27[/C][C]-0.039967[/C][C]-0.3896[/C][C]0.348869[/C][/ROW]
[ROW][C]28[/C][C]-0.087496[/C][C]-0.8528[/C][C]0.197955[/C][/ROW]
[ROW][C]29[/C][C]-0.094176[/C][C]-0.9179[/C][C]0.180493[/C][/ROW]
[ROW][C]30[/C][C]0.013533[/C][C]0.1319[/C][C]0.44767[/C][/ROW]
[ROW][C]31[/C][C]-0.03299[/C][C]-0.3215[/C][C]0.37425[/C][/ROW]
[ROW][C]32[/C][C]0.023444[/C][C]0.2285[/C][C]0.409873[/C][/ROW]
[ROW][C]33[/C][C]0.03582[/C][C]0.3491[/C][C]0.363881[/C][/ROW]
[ROW][C]34[/C][C]-0.083867[/C][C]-0.8174[/C][C]0.207864[/C][/ROW]
[ROW][C]35[/C][C]-0.111476[/C][C]-1.0865[/C][C]0.139995[/C][/ROW]
[ROW][C]36[/C][C]0.227924[/C][C]2.2215[/C][C]0.014345[/C][/ROW]
[ROW][C]37[/C][C]0.119249[/C][C]1.1623[/C][C]0.124013[/C][/ROW]
[ROW][C]38[/C][C]0.027661[/C][C]0.2696[/C][C]0.394025[/C][/ROW]
[ROW][C]39[/C][C]-0.008207[/C][C]-0.08[/C][C]0.468205[/C][/ROW]
[ROW][C]40[/C][C]0.05534[/C][C]0.5394[/C][C]0.295441[/C][/ROW]
[ROW][C]41[/C][C]-0.119409[/C][C]-1.1639[/C][C]0.123699[/C][/ROW]
[ROW][C]42[/C][C]-0.184174[/C][C]-1.7951[/C][C]0.037909[/C][/ROW]
[ROW][C]43[/C][C]0.032439[/C][C]0.3162[/C][C]0.376283[/C][/ROW]
[ROW][C]44[/C][C]-0.073882[/C][C]-0.7201[/C][C]0.23661[/C][/ROW]
[ROW][C]45[/C][C]-0.030941[/C][C]-0.3016[/C][C]0.381817[/C][/ROW]
[ROW][C]46[/C][C]0.008439[/C][C]0.0823[/C][C]0.467309[/C][/ROW]
[ROW][C]47[/C][C]-0.111776[/C][C]-1.0895[/C][C]0.139353[/C][/ROW]
[ROW][C]48[/C][C]0.081741[/C][C]0.7967[/C][C]0.213802[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42829&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42829&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
1-0.120614-1.17560.121345
20.120811.17750.120966
30.1799031.75350.041373
40.1495641.45780.074101
5-0.064356-0.62730.265996
60.1868311.8210.035877
7-0.00672-0.06550.473958
8-0.02775-0.27050.393692
90.0337160.32860.371582
10-0.02607-0.25410.399985
110.1410021.37430.086288
120.2086162.03330.022404
13-0.010296-0.10040.460138
14-0.02236-0.21790.413972
15-0.016437-0.16020.43653
16-0.115812-1.12880.130912
17-0.107978-1.05240.147635
18-0.130027-1.26730.104065
190.0515620.50260.308219
20-0.164365-1.6020.056234
21-0.011858-0.11560.454117
22-0.05507-0.53680.296345
23-0.04376-0.42650.335348
240.0421370.41070.341107
250.0243340.23720.406516
260.0220910.21530.414989
27-0.039967-0.38960.348869
28-0.087496-0.85280.197955
29-0.094176-0.91790.180493
300.0135330.13190.44767
31-0.03299-0.32150.37425
320.0234440.22850.409873
330.035820.34910.363881
34-0.083867-0.81740.207864
35-0.111476-1.08650.139995
360.2279242.22150.014345
370.1192491.16230.124013
380.0276610.26960.394025
39-0.008207-0.080.468205
400.055340.53940.295441
41-0.119409-1.16390.123699
42-0.184174-1.79510.037909
430.0324390.31620.376283
44-0.073882-0.72010.23661
45-0.030941-0.30160.381817
460.0084390.08230.467309
47-0.111776-1.08950.139353
480.0817410.79670.213802


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
R code (references can be found in the software module):
if (par1 == 'Default') {
par1 = 10*log10(length(x))
} else {
par1 <- as.numeric(par1)
}
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
par5 <- as.numeric(par5)
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='pic1.png')
racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
dev.off()
(myacf <- c(racf$acf))
(mypacf <- c(rpacf$acf))
lengthx <- length(x)
sqrtn <- sqrt(lengthx)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','ACF(k)','click here for more information about the Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 2:(par1+1)) {
a<-table.row.start(a)
a<-table.element(a,i-1,header=TRUE)
a<-table.element(a,round(myacf[i],6))
mytstat <- myacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Partial Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','PACF(k)','click here for more information about the Partial Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:par1) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,round(mypacf[i],6))
mytstat <- mypacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')